{"meta":{"query_hash":"fdf88847657d","filters":{"topic":"Economic and Environmental Valuation"},"cohort_total":1880,"direct_labels_cover":5,"predictions_cover":1880,"exported":1880,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/fdf88847657d","api":"https://metacan.xera.ac/api/v1/cohort?topic=Economic+and+Environmental+Valuation"},"results":[{"id":"W1058168099","doi":"10.1016/j.wre.2015.08.002","title":"Do water service provision contracts with neighbouring communities reduce drinking water risk on Canadian reserves?","year":2015,"lang":"en","type":"article","venue":"Water Resources and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Probit model; Incentive; Water industry; Probit; Business; Water sector; Service (business); Ordered probit; Water infrastructure; Water supply; Economic growth; Economics; Environmental science; Environmental engineering; Marketing; Econometrics","score_opus":0.07893017035425584,"score_gpt":0.19610351129191755,"score_spread":0.11717334093766171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1058168099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873144,0.00014203969,0.000009754078,0.0016106034,0.00016294679,0.0002692884,0.000053976994,0.00002698684,0.01041003],"genre_scores_gemma":[0.9980266,0.00020461678,0.00011781261,0.000642545,0.00015218496,0.000027613109,0.000155586,0.00005931093,0.00061370403],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998316,0.000041026877,0.0005227728,0.0004304335,0.000031230687,0.00065856834],"domain_scores_gemma":[0.99902487,0.000020798028,0.00013041153,0.0004602849,0.000017674422,0.0003459448],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008874351,0.00027284666,0.00039112565,0.00023385654,0.00042626413,0.00043490613,0.00026899617,0.00014449167,0.00028093107],"category_scores_gemma":[0.000004558949,0.00018708798,0.000050127033,0.000020353524,0.00008228521,0.00053219305,0.00017231742,0.00026188878,0.0010067505],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004565813,0.00012609271,0.8186504,0.00007084426,0.000284153,0.000013383026,0.11903574,0.056263447,0.00012221289,0.0029762315,0.00020815738,0.0017927564],"study_design_scores_gemma":[0.010310783,0.0016661834,0.18283637,0.00027756524,0.000121270175,0.00011160524,0.026862327,0.034042116,0.02339968,0.03615303,0.68054664,0.0036724187],"about_ca_topic_score_codex":0.10368191,"about_ca_topic_score_gemma":0.04970423,"teacher_disagreement_score":0.6803385,"about_ca_system_score_codex":0.00035556473,"about_ca_system_score_gemma":0.00000985935,"threshold_uncertainty_score":0.99977106},"labels":[],"label_agreement":null},{"id":"W1126774089","doi":"10.1016/j.forpol.2015.08.004","title":"Exploring public perceptions of forest adaptation strategies in Western Canada: Implications for policy-makers","year":2015,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Australian Government; Alberta Environment and Parks; Forest Genetics Council of British Columbia","keywords":"Reforestation; Forest management; Adaptation (eye); Environmental resource management; Climate change; Residence; Perception; Geography; Environmental planning; Business; Ecology; Forestry; Economics; Psychology","score_opus":0.3422545315957989,"score_gpt":0.2699821508559473,"score_spread":0.0722723807398516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1126774089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892908,0.00008351806,0.0025103977,0.004751857,0.00009967024,0.00028595293,0.00044845464,0.00000954928,0.0025198536],"genre_scores_gemma":[0.99821913,0.00044679324,0.0004814763,0.00018757806,0.00018896729,0.0001959489,0.00013962515,0.0000226305,0.00011785214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99883586,0.000008050292,0.00059996115,0.00026199184,0.000011814422,0.00028232636],"domain_scores_gemma":[0.99930346,0.00006339115,0.00027358916,0.00020116451,0.000016139473,0.00014228243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002898577,0.00013119333,0.00028076643,0.0003407685,0.00007563067,0.00006280999,0.00012526692,0.00006240455,0.00000535718],"category_scores_gemma":[0.00010982014,0.00017481002,0.000049575774,0.00011085996,0.0000867439,0.0009169735,0.000045448276,0.00005692899,0.000012470713],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058948162,0.000018019686,0.48632792,0.000011350756,0.000011308694,2.3951854e-8,0.00054961984,0.025978683,5.8763305e-7,0.48664942,0.00004585886,0.00040130055],"study_design_scores_gemma":[0.00067315315,0.000053990847,0.8562325,0.000005259679,0.0000033521706,0.0000023130874,0.001795504,0.0069606914,0.0000012989128,0.12912206,0.0049823863,0.00016748656],"about_ca_topic_score_codex":0.28942382,"about_ca_topic_score_gemma":0.7295091,"teacher_disagreement_score":0.44008526,"about_ca_system_score_codex":0.00088521314,"about_ca_system_score_gemma":0.00055767427,"threshold_uncertainty_score":0.71530795},"labels":[],"label_agreement":null},{"id":"W115324737","doi":"","title":"Investigating floodproofing strategies for historic settlement areas of the Fraser River Basin, British Columbia, Canada : a complementary application of multi attribute decision making and stated preference discrete choice modelling","year":2004,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Preference; Geography; Archaeology; Computer science; Mathematics; Statistics","score_opus":0.051053515024682736,"score_gpt":0.20997191932910475,"score_spread":0.158918404304422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W115324737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560276,0.00037918333,0.039359618,0.000012628861,0.00017569371,0.00082611846,0.00309446,0.000008616931,0.00011603952],"genre_scores_gemma":[0.99438596,0.000102489386,0.0034731387,0.000027731649,0.00001556415,0.000011302013,0.0016133902,0.000026139662,0.00034426752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986145,0.000022664466,0.0005947397,0.00047565208,0.00009130423,0.00020115414],"domain_scores_gemma":[0.99851346,0.00009692101,0.0010371102,0.00023324745,0.00006552844,0.000053710133],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017587759,0.00017386196,0.00041533037,0.00010521364,0.00026734307,0.000051455296,0.00027466478,0.0001243636,0.000047147532],"category_scores_gemma":[0.00002475565,0.00027534948,0.00009306889,0.00020286498,0.00007698125,0.00030256895,0.00007323709,0.00015135264,6.023099e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017885812,0.000036645815,0.9441532,0.00031578785,0.000090336274,5.455776e-7,0.0001254989,0.053405236,0.0000021673156,0.00031415484,0.0003361426,0.0012024293],"study_design_scores_gemma":[0.0053748265,0.0001744769,0.81240165,0.001875744,0.00039718763,2.8697844e-8,0.033048518,0.12474254,0.00022062931,0.010278778,0.01021669,0.0012689539],"about_ca_topic_score_codex":0.6206329,"about_ca_topic_score_gemma":0.98732716,"teacher_disagreement_score":0.36669427,"about_ca_system_score_codex":0.0010160186,"about_ca_system_score_gemma":0.0002318218,"threshold_uncertainty_score":0.99996984},"labels":[],"label_agreement":null},{"id":"W115476196","doi":"10.4000/economiepublique.1703","title":"Analyse économique et préservation de la biodiversité","year":2006,"lang":"fr","type":"article","venue":"Économie publique/Public economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; HEC Montréal","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","score_opus":0.062006324437697706,"score_gpt":0.20791597676118298,"score_spread":0.14590965232348527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W115476196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83616936,0.004405501,0.004315079,0.05431576,0.002100265,0.0006463738,0.0011330483,0.00015486454,0.09675976],"genre_scores_gemma":[0.9340811,0.010866873,0.010259408,0.008076303,0.0013880363,0.00019223349,0.0014096716,0.0002148548,0.033511534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941534,0.0003709885,0.0024103413,0.0016343028,0.000031185264,0.0013998193],"domain_scores_gemma":[0.99574995,0.0006225366,0.0019961447,0.0011056263,0.00007010096,0.00045566368],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0046994877,0.0008114267,0.0012581774,0.00106387,0.0003954579,0.0018065224,0.0009522995,0.001277334,0.003392887],"category_scores_gemma":[0.00025154694,0.0013044487,0.00070147356,0.00035346593,0.00074461714,0.0051610214,0.00043723077,0.00080615556,0.00243963],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018174598,0.00035737688,0.4418709,0.000044658616,0.00021706543,0.0000037922232,0.000119985896,0.010118765,0.000005177413,0.5226149,0.021768732,0.0028604995],"study_design_scores_gemma":[0.0018705949,0.00010780484,0.30284345,0.000028171713,0.00006946316,0.000044271797,0.00020742933,0.034852408,0.00010811488,0.13772313,0.5209661,0.0011790491],"about_ca_topic_score_codex":0.0112269195,"about_ca_topic_score_gemma":0.0033822805,"teacher_disagreement_score":0.49919736,"about_ca_system_score_codex":0.0065952702,"about_ca_system_score_gemma":0.0009073605,"threshold_uncertainty_score":0.99922967},"labels":[],"label_agreement":null},{"id":"W1173137460","doi":"10.1016/j.ecoser.2015.07.004","title":"Value and provision of ecosystem services from prairie wetlands: A choice experiment approach","year":2015,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Wetland; Ecosystem services; Ecosystem; Wildlife; Business; Environmental resource management; Value (mathematics); Willingness to pay; Habitat; Wetland conservation; Natural resource economics; Environmental science; Environmental planning; Ecology; Economics","score_opus":0.05425134523271538,"score_gpt":0.21402679790018056,"score_spread":0.15977545266746518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1173137460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868832,0.0050690193,0.0002102038,0.000120249926,0.00040515518,0.0005614384,0.00044875414,0.000047247795,0.0062546968],"genre_scores_gemma":[0.99806523,0.000072649455,0.0011748287,0.00007895317,0.00018660336,0.00008997351,0.00019571459,0.00003534117,0.00010070815],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980527,0.00005535604,0.0009303499,0.00063006824,0.00008932514,0.00024218393],"domain_scores_gemma":[0.9984744,0.000050129864,0.00082927657,0.00044739502,0.000023647812,0.0001751597],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007339244,0.00024934032,0.00062340713,0.00012823149,0.000076900105,0.00009847189,0.00031791284,0.00015574756,0.00007476331],"category_scores_gemma":[0.0000059023337,0.00025875057,0.00007595058,0.00009411613,0.000014064647,0.00060130254,0.000175082,0.00007662451,0.00038658988],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052266492,0.00028889897,0.9819498,0.0018434655,0.00021850242,0.0000012658584,0.007424109,0.0014938398,0.00018742318,0.0061363527,0.00011674521,0.000287352],"study_design_scores_gemma":[0.0081310505,0.00077830866,0.41677886,0.0009986596,0.00012465626,0.00002419755,0.024425302,0.45946637,0.0030234358,0.00658685,0.07776732,0.0018950034],"about_ca_topic_score_codex":0.002646732,"about_ca_topic_score_gemma":0.0011848744,"teacher_disagreement_score":0.56517094,"about_ca_system_score_codex":0.00017918905,"about_ca_system_score_gemma":0.000014899043,"threshold_uncertainty_score":0.99998647},"labels":[],"label_agreement":null},{"id":"W118856348","doi":"10.1023/a:1024006718841","title":"Valuing Biodiversity: Reality or Mirage?","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Biodiversity; Ecosystem; Proxy (statistics); Ecology; Ecological stability; Arrow; Ecosystem services; Value (mathematics); Environmental resource management; Component (thermodynamics); Extinction (optical mineralogy); Psychological resilience; Economics; Mathematics; Biology; Computer science; Statistics; Psychology; Social psychology","score_opus":0.13223074199167018,"score_gpt":0.25615266416083415,"score_spread":0.12392192216916398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W118856348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873541,0.00057918864,0.0005575509,0.00011986918,0.00044312945,0.0001360034,0.000052083804,0.000022852206,0.01073524],"genre_scores_gemma":[0.9951823,0.0009039504,0.002815464,0.0000376459,0.000054322336,0.00001538123,0.000013716477,0.000010674209,0.0009665487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990385,0.000027441258,0.00029082393,0.0003822773,0.000046261037,0.00021470441],"domain_scores_gemma":[0.9995523,0.000027450333,0.00013729552,0.00018444231,5.7749685e-7,0.00009791017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042164378,0.0001449408,0.00019979094,0.00005265178,0.00022004991,0.00005151369,0.00006975921,0.000060910785,0.00069289235],"category_scores_gemma":[0.000008311211,0.00015870342,0.00004997557,0.000032007174,0.0000666539,0.00021657899,0.000062318526,0.00012527143,0.00030652175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039554807,0.00007552846,0.9955004,0.000007782648,0.000031612075,0.0000037374573,0.00017256977,0.00006687372,0.00028023758,0.002571101,0.000060566115,0.0012256359],"study_design_scores_gemma":[0.0006124783,0.000084376865,0.9754918,0.0000095206,0.000010963152,0.000007043597,0.0010277914,0.00010283479,0.0009277899,0.0015514464,0.019911481,0.00026247316],"about_ca_topic_score_codex":0.00007439739,"about_ca_topic_score_gemma":6.453453e-7,"teacher_disagreement_score":0.0200086,"about_ca_system_score_codex":0.0004700302,"about_ca_system_score_gemma":0.000006669562,"threshold_uncertainty_score":0.75866854},"labels":[],"label_agreement":null},{"id":"W119037682","doi":"","title":"Distribution of Benefits and Costs among Stakeholders of a Protected Area: An Empirical Study from China","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Livelihood; China; Natural resource economics; Distribution (mathematics); Business; Nature reserve; Compensation (psychology); Protected area; Public economics; Economics; Geography; Environmental resource management; Agriculture","score_opus":0.171424342363834,"score_gpt":0.3027189325462877,"score_spread":0.13129459018245368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W119037682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943185,0.00033917566,0.000027467686,0.00005826624,0.00011575543,0.0017132057,0.0017840648,0.000014142944,0.0016294506],"genre_scores_gemma":[0.9967564,0.0020825048,0.0001566363,0.0000047060726,0.000040837298,0.00021071848,0.0006711607,0.000044562927,0.000032491887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99687725,0.00013499893,0.0014093646,0.0010801994,0.000089201174,0.00040897497],"domain_scores_gemma":[0.99802876,0.00012912352,0.0008148709,0.0008300447,0.00003380464,0.00016337482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017351637,0.0003010857,0.0009561808,0.00037288686,0.00008192911,0.00005897535,0.00040784985,0.00041948698,0.000104071594],"category_scores_gemma":[0.00023079415,0.0003825828,0.00012527283,0.000116765776,0.0003598843,0.00023137209,0.00057777594,0.0008139626,0.000004182241],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008257412,0.0007972601,0.9613318,0.00005556196,0.0001263874,0.0000021942362,0.0012480812,0.020347845,0.0000109367575,0.00026794127,0.000002181911,0.015727269],"study_design_scores_gemma":[0.0013640156,0.00038357518,0.9858279,0.00015772003,0.000011116766,6.155549e-7,0.0010839726,0.007551056,0.00006749445,0.0032245042,0.000020223517,0.00030779047],"about_ca_topic_score_codex":0.005064437,"about_ca_topic_score_gemma":0.0017112617,"teacher_disagreement_score":0.024496147,"about_ca_system_score_codex":0.0019235096,"about_ca_system_score_gemma":0.00012585334,"threshold_uncertainty_score":0.9998626},"labels":[],"label_agreement":null},{"id":"W1239138568","doi":"","title":"Assessing the Impacts of Forest Management on Aboriginal Hunters: Evidence from Stated and Revealed Preference Data","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Subsistence agriculture; Forest management; Preference; Wildlife; Wildlife management; Environmental resource management; Geography; Zoning; Resource management (computing); Revealed preference; Survey data collection; Business; Natural resource economics; Environmental planning; Economics; Forestry; Ecology; Agriculture; Engineering; Computer science","score_opus":0.30676220812531274,"score_gpt":0.3698905002616644,"score_spread":0.06312829213635168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1239138568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97388434,0.001133553,0.000037560923,0.00040617943,0.00023736041,0.0008276863,0.0006988877,0.000012192349,0.022762246],"genre_scores_gemma":[0.94093853,0.05717611,0.000987301,0.000056872283,0.00009933992,0.00008305207,0.00023230267,0.000040490155,0.00038601417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968159,0.00015298671,0.0011261706,0.0013058175,0.00010223998,0.00049688166],"domain_scores_gemma":[0.99637836,0.0007117456,0.0007363236,0.0020379461,0.000018960922,0.000116664894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030285795,0.0002988087,0.0006257174,0.0003577548,0.00013272528,0.00032684737,0.0013093294,0.00023007483,0.0002459577],"category_scores_gemma":[0.00023564258,0.00030377266,0.000074144555,0.00009413397,0.00034527612,0.0006137992,0.0014255566,0.0008964433,0.000049784132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010761234,0.00026638468,0.9242019,0.00044541026,0.0003753611,0.000017863584,0.0011533281,0.016187344,0.000016179372,0.002114457,0.00021832598,0.054895844],"study_design_scores_gemma":[0.0006251167,0.0000954468,0.92232746,0.0009480949,0.000016687194,0.0000013175832,0.00083647296,0.06595712,0.000013895937,0.005957164,0.002848077,0.00037316736],"about_ca_topic_score_codex":0.0009606366,"about_ca_topic_score_gemma":0.0003475744,"teacher_disagreement_score":0.05604256,"about_ca_system_score_codex":0.0008139557,"about_ca_system_score_gemma":0.00007820624,"threshold_uncertainty_score":0.9999414},"labels":[],"label_agreement":null},{"id":"W127397322","doi":"10.1007/978-0-8176-4556-4_9","title":"Planning for Biodiversity Conservation Using Stochastic Programming","year":2007,"lang":"en","type":"book-chapter","venue":"Birkhäuser Boston eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Conservation Plan; Geography; Environmental resource management; Conservation biology; Environmental planning; Plan (archaeology); Habitat; Biodiversity conservation; Ecology; Biology; Environmental science","score_opus":0.34488155045424357,"score_gpt":0.26619317555232763,"score_spread":0.07868837490191594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W127397322","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09149044,0.002651643,0.37228206,0.00019794916,0.0025636062,0.004906678,0.0017918074,0.00036645317,0.52374935],"genre_scores_gemma":[0.28676108,0.00006251135,0.04019824,0.0035818133,0.0016192823,0.00018046646,0.0020270022,0.00061823416,0.6649514],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830806,0.000004515971,0.0007003148,0.0005943666,0.000052009822,0.00034072952],"domain_scores_gemma":[0.9987025,0.00008145503,0.0008067014,0.00028739966,0.000025769643,0.00009614193],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006593841,0.00033607078,0.0005026527,0.00034603023,0.00031071552,0.00006591693,0.00017119093,0.00042675363,0.00019351406],"category_scores_gemma":[0.000025685893,0.00046361747,0.00022800651,0.000011992361,0.00012404047,0.0001180677,0.000081920545,0.00025027324,0.00040217055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027470422,0.000080256985,0.02104606,0.00038340557,0.0007029645,0.000021928445,0.0023684527,0.0015854255,0.00004924645,0.9563607,0.0029188644,0.0142080225],"study_design_scores_gemma":[0.0033431826,0.00042455588,0.004757083,0.00046760944,0.00031501905,0.000029767256,0.00029367936,0.007357944,0.00009388313,0.14760551,0.8324666,0.0028451837],"about_ca_topic_score_codex":0.00012448497,"about_ca_topic_score_gemma":0.000022620075,"teacher_disagreement_score":0.8295477,"about_ca_system_score_codex":0.00049297843,"about_ca_system_score_gemma":0.000031724947,"threshold_uncertainty_score":0.99978155},"labels":[],"label_agreement":null},{"id":"W129618585","doi":"10.1007/978-1-4939-1471-5_8","title":"Probability Models for Ranking Data","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ranking (information retrieval); Computer science; Probability model; Statistical model; Data mining; Statistics; Machine learning; Econometrics; Mathematics","score_opus":0.43559023397243585,"score_gpt":0.23679652842201185,"score_spread":0.198793705550424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W129618585","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006123735,0.0004841295,0.2370826,0.00016808236,0.00023894651,0.00058357464,0.00088959764,0.000029616253,0.7604622],"genre_scores_gemma":[0.033434443,0.00037363573,0.015410239,0.0005370811,0.00041588495,0.00005988645,0.0024674586,0.00011365641,0.9471877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99833757,0.000002250709,0.0006685157,0.0008006231,0.000021065618,0.00017000089],"domain_scores_gemma":[0.9983532,0.0000590074,0.00041104815,0.0011227527,0.0000072091752,0.000046810084],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00094765984,0.00021056524,0.0004876346,0.0000720343,0.000068032874,0.000039794657,0.00045499386,0.00024722924,0.0023259376],"category_scores_gemma":[0.000023114946,0.00025289872,0.00012694891,0.0000048422003,0.00005275503,0.00022255033,0.00021984268,0.00010842055,0.0012478404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048120887,0.0000069611,0.00022579147,0.00004503576,0.00004461316,3.8153228e-8,0.000013828968,0.000542311,8.640439e-8,0.99230397,0.0042460873,0.0025664463],"study_design_scores_gemma":[0.00023648706,0.000018881767,0.0000667571,0.000010362404,0.000011489324,3.636094e-7,8.2043886e-7,0.056099568,5.073536e-7,0.67681944,0.26650664,0.00022867485],"about_ca_topic_score_codex":0.000030399951,"about_ca_topic_score_gemma":0.000026976719,"teacher_disagreement_score":0.31548455,"about_ca_system_score_codex":0.00016719037,"about_ca_system_score_gemma":0.0000105955905,"threshold_uncertainty_score":0.9999923},"labels":[],"label_agreement":null},{"id":"W130122881","doi":"","title":"Understanding recreational use of the Western Newfoundland Model Forest","year":2000,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Socioeconomic status; Geography; Recreational use; Forestry; Forest management; Socioeconomics; Scale (ratio); Environmental protection; Environmental resource management; Environmental science; Political science; Cartography; Sociology; Demography","score_opus":0.22617294918873088,"score_gpt":0.25366688931453096,"score_spread":0.027493940125800087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W130122881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84970844,0.00004472161,0.00050217763,0.00007861934,0.0045140344,0.00076070195,0.0003066508,0.000035022196,0.14404963],"genre_scores_gemma":[0.71140546,0.00036343542,0.00009903655,0.00000653045,0.0009051792,5.701795e-7,0.00033093157,0.000041809704,0.28684705],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99778914,0.0002486706,0.00046686936,0.0007421454,0.00031341653,0.00043976007],"domain_scores_gemma":[0.99829406,0.00022911133,0.0005801132,0.0006215739,0.000106168176,0.00016896617],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056094164,0.00028698304,0.000551387,0.00087586546,0.0010859568,0.00014058348,0.0009416116,0.0005440777,0.00016687295],"category_scores_gemma":[0.000079416095,0.00035090177,0.0003707086,0.0006274968,0.00035759245,0.0009575443,0.00021243606,0.00071071583,0.00008506261],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012822702,0.00081756286,0.4671784,0.00041706447,0.0013144177,0.0002258794,0.004644511,0.072518915,0.00083999534,0.42302075,0.016017372,0.00018243447],"study_design_scores_gemma":[0.020064997,0.0012165328,0.43700126,0.0013515668,0.00097240205,0.00003528452,0.011506515,0.03471589,0.0010864347,0.03956215,0.44804257,0.004444406],"about_ca_topic_score_codex":0.00418288,"about_ca_topic_score_gemma":0.004113322,"teacher_disagreement_score":0.4320252,"about_ca_system_score_codex":0.0037639062,"about_ca_system_score_gemma":0.0005083846,"threshold_uncertainty_score":0.9998943},"labels":[],"label_agreement":null},{"id":"W141580791","doi":"10.1007/978-3-319-07860-1_1","title":"Technology, Business and Nature: An Economic Primer on Winners and Losers","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Foundation of Stars","funders":"","keywords":"Primer (cosmetics); Business; Chemistry","score_opus":0.0333537002241898,"score_gpt":0.1945420097280377,"score_spread":0.1611883095038479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W141580791","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15143774,0.002565032,0.00016486565,0.0016096475,0.00054620253,0.0003979335,0.00013602931,0.00008378044,0.84305876],"genre_scores_gemma":[0.67730886,0.0040963916,0.0007924994,0.0014271508,0.00028526154,0.000019730343,0.00018329265,0.00015071107,0.3157361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986208,0.0000028405796,0.0004262527,0.00075532513,0.000016237895,0.00017856124],"domain_scores_gemma":[0.99918085,0.00002243403,0.000312651,0.00039210948,0.0000054184015,0.00008651282],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023450979,0.00031469503,0.0004994295,0.0003843799,0.00007956744,0.000053662465,0.0001400689,0.00081592915,0.00095666567],"category_scores_gemma":[0.00000901072,0.0003639247,0.00004323012,0.000013875348,0.00025715414,0.0001497384,0.000093004055,0.00034910464,0.0010857196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008704444,0.00000765555,0.008279868,0.000015144613,0.00006732472,6.4499176e-7,0.000012799226,0.00002682482,0.0000016087633,0.9851815,0.0007308894,0.0056669964],"study_design_scores_gemma":[0.0012901204,0.00032366245,0.06496001,0.00006166029,0.000054288786,0.000024695359,0.000038771548,0.00090231554,0.000043711207,0.33457005,0.59622985,0.0015008524],"about_ca_topic_score_codex":0.000053189255,"about_ca_topic_score_gemma":0.000042076714,"teacher_disagreement_score":0.65061146,"about_ca_system_score_codex":0.00018278783,"about_ca_system_score_gemma":0.000010483387,"threshold_uncertainty_score":0.9999566},"labels":[],"label_agreement":null},{"id":"W142595581","doi":"10.15173/esr.v10i1.422","title":"Global Warming, Forests, and Biodiversity.","year":2001,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kyoto Protocol; Greenhouse gas; Global warming; Land use, land-use change and forestry; Clean Development Mechanism; Biodiversity; Climate change; Natural resource economics; Land use; Environmental science; Joint Implementation; Environmental protection; Environmental resource management; Business; Forestry; Economics; Geography; Ecology","score_opus":0.1384031018809226,"score_gpt":0.2549969184992475,"score_spread":0.11659381661832488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W142595581","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06422511,0.9132952,0.00024193495,0.0018666044,0.00018450081,0.00007611408,0.00002888443,0.000017914745,0.020063724],"genre_scores_gemma":[0.18777229,0.8091159,0.000104217055,0.0020915295,0.000032969074,0.000013060453,0.000010659035,0.0000030647768,0.00085633475],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993796,0.000007998414,0.00025136772,0.00022346094,0.000014042216,0.00012353186],"domain_scores_gemma":[0.99970055,0.000011512587,0.00012631834,0.00012009837,0.000004835963,0.000036696994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017959582,0.000091892514,0.0003064563,0.000020057912,0.00009403284,0.000008017436,0.000064537475,0.000023650879,0.0002773422],"category_scores_gemma":[0.00003238016,0.00009615018,0.00005485059,0.0000787566,0.000063142026,0.00010277371,0.00010074771,0.000018421313,0.00029821982],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015771304,0.000018759982,0.89515847,0.00014704367,0.00011431191,0.0000037033442,0.000037333954,0.000010688381,2.730383e-8,0.05328358,0.028264103,0.022960387],"study_design_scores_gemma":[0.00018689147,0.000025514471,0.17704718,0.00008745913,0.000020439458,0.000009331875,0.000043495405,0.00002671589,4.424565e-7,0.0067866575,0.8156172,0.00014868614],"about_ca_topic_score_codex":0.000138139,"about_ca_topic_score_gemma":0.000114871815,"teacher_disagreement_score":0.7873531,"about_ca_system_score_codex":0.00011321902,"about_ca_system_score_gemma":0.0000017646935,"threshold_uncertainty_score":0.39208907},"labels":[],"label_agreement":null},{"id":"W142982786","doi":"","title":"Certainty Equivalent Representation of Binary Gambles That Are Decomposed into Risky and Sure Parts","year":2012,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Certainty; Multiplicative function; Preference; Binary number; Mathematics; Conditional expectation; Mathematical economics; Econometrics; Statistics; Arithmetic","score_opus":0.13166446611173985,"score_gpt":0.2699397703988389,"score_spread":0.13827530428709903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W142982786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79034585,0.20835046,0.000044592103,0.0002056272,0.00014014942,0.00022238198,0.00006327768,0.0000028117229,0.0006248361],"genre_scores_gemma":[0.6017129,0.3975217,0.00058271224,0.00008950714,0.000021830756,0.000012893389,0.000015099072,0.000008622086,0.000034772213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879473,0.0000215234,0.000725405,0.0002758472,0.000013860295,0.00016864244],"domain_scores_gemma":[0.9985762,0.00006109906,0.0010437554,0.00025981248,0.0000099845865,0.00004912969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006606158,0.0001402936,0.00065203,0.00006413058,0.00004927173,0.000008679319,0.00008607634,0.00006494348,0.000058889433],"category_scores_gemma":[0.000036231195,0.00015913404,0.00009843079,0.00004796287,0.00010915875,0.00034801895,0.000083009916,0.00005525484,0.000015611393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001456069,0.00009959589,0.9201603,0.0019288503,0.000055906272,2.0068516e-7,0.00021072708,0.00019168048,0.000012776683,0.06829079,0.00037213526,0.00866249],"study_design_scores_gemma":[0.00057422405,0.00007874473,0.9627637,0.00093074684,0.000038892005,0.0000044151097,0.00010334721,0.0018869948,0.00036689412,0.010156594,0.022789104,0.00030633848],"about_ca_topic_score_codex":0.00010281156,"about_ca_topic_score_gemma":0.00001540468,"teacher_disagreement_score":0.18917122,"about_ca_system_score_codex":0.000051913714,"about_ca_system_score_gemma":0.000006688486,"threshold_uncertainty_score":0.6489298},"labels":[],"label_agreement":null},{"id":"W143133661","doi":"","title":"Modeling Costs of Using Ovocontrol G for Managing Nuisance Canada Goose (Branta Canadensis) Populations","year":2007,"lang":"en","type":"article","venue":"Utah State Research and Scholarship (Utah State University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Animal and Plant Health Inspection Service; U.S. Department of Agriculture","keywords":"Branta; Nuisance; Goose; Product (mathematics); Fishery; Ecology; Biology; Mathematics","score_opus":0.20778531223643795,"score_gpt":0.29193126040624384,"score_spread":0.08414594816980589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W143133661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674147,0.00035417156,0.029642599,0.0001857437,0.00009178986,0.00047137385,0.0005507404,0.000009420629,0.0012795001],"genre_scores_gemma":[0.99716437,0.00034478525,0.001343843,0.00003772555,0.00002000521,0.0000012852338,0.000041142972,0.000022030954,0.0010247976],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983345,0.000049980794,0.00044327596,0.00042096197,0.00011965881,0.0006316052],"domain_scores_gemma":[0.99908996,0.00015571812,0.00016688455,0.00021750902,0.000108602944,0.00026130475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019292958,0.00014307452,0.00030111338,0.000625388,0.0004804838,0.000061961866,0.00021260815,0.000058088408,0.00002975257],"category_scores_gemma":[0.000103066406,0.00019397536,0.0000542818,0.00035255286,0.00011156732,0.00060077454,0.000097870994,0.00028212176,0.000004518002],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008547861,0.00015917039,0.7178991,0.00023199727,0.00027946598,0.00010591953,0.0011654807,0.15503387,0.000907679,0.11410837,0.00013481021,0.009119375],"study_design_scores_gemma":[0.0069743567,0.00036874806,0.17437784,0.00024265751,0.000052708405,0.000014443549,0.005164821,0.69759256,0.0008388387,0.10716326,0.0058260313,0.0013837407],"about_ca_topic_score_codex":0.34114996,"about_ca_topic_score_gemma":0.4482977,"teacher_disagreement_score":0.5435212,"about_ca_system_score_codex":0.001400171,"about_ca_system_score_gemma":0.00017927239,"threshold_uncertainty_score":0.79100853},"labels":[],"label_agreement":null},{"id":"W148025666","doi":"10.1007/978-3-642-12788-5_2","title":"Stated Preference Examination of Factors Influencing Residential Attraction","year":2010,"lang":"en","type":"book-chapter","venue":"Advances in spatial science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Preference; Attraction; Neighbourhood (mathematics); Revealed preference; Range (aeronautics); Geography; Econometrics; Quality (philosophy); Transport engineering; Statistics; Economics; Mathematics; Engineering","score_opus":0.08655854116352311,"score_gpt":0.2443910503422228,"score_spread":0.15783250917869968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W148025666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7261324,0.00065992604,0.0024301284,0.000010851084,0.0011645019,0.00032762153,0.00009784387,0.000018202927,0.2691585],"genre_scores_gemma":[0.9937,0.001193241,0.0004159879,0.000008074221,0.00005006301,0.0000062881704,0.000034108587,0.000016214963,0.0045759995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99840236,0.0000061133533,0.00073233794,0.00053542,0.00012311948,0.00020066883],"domain_scores_gemma":[0.9986141,0.00005106907,0.0009911619,0.0002611261,0.000030943287,0.00005161017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075505325,0.0001755185,0.0003188716,0.0004064403,0.00009892021,0.00003271582,0.00032182634,0.0001809896,0.00074559153],"category_scores_gemma":[0.00011327497,0.00021010243,0.000047454534,0.00008952189,0.0005048491,0.001441722,0.00008514536,0.00030108157,0.000099530356],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006192487,0.00015197892,0.3774862,0.00024410662,0.00002567042,0.000004353194,0.004632331,0.005932203,0.010291404,0.4962776,0.0000066345824,0.10488558],"study_design_scores_gemma":[0.00035764987,0.00012489561,0.9118239,0.000115811374,0.000008423607,9.946953e-7,0.000073274845,0.00066127133,0.0050677145,0.075777225,0.0054893815,0.0004994443],"about_ca_topic_score_codex":0.00075535965,"about_ca_topic_score_gemma":0.0015070033,"teacher_disagreement_score":0.5343377,"about_ca_system_score_codex":0.00037619311,"about_ca_system_score_gemma":0.00004851691,"threshold_uncertainty_score":0.85677284},"labels":[],"label_agreement":null},{"id":"W1480607954","doi":"","title":"Characteristics of Urban Forestry Programs in Utah","year":2005,"lang":"en","type":"article","venue":"Digital Commons - USU (Utah State University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Per capita; Population; Quarter (Canadian coin); Tree planting; Forestry; Urban forestry; Geography; Agricultural economics; Business; Socioeconomics; Demography; Economics; Sociology; Archaeology","score_opus":0.05567559391284289,"score_gpt":0.18105444725268197,"score_spread":0.12537885333983909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1480607954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94920367,0.000039632916,0.00032286745,0.0000932072,0.000046967216,0.00015005322,0.0004161169,0.000019995105,0.049707513],"genre_scores_gemma":[0.9966741,0.000055484743,0.00012308976,0.000020090594,0.000017557117,8.7378226e-7,0.00017852183,0.000013793669,0.0029164974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991672,0.0000071474583,0.00036168526,0.0002262862,0.000025841624,0.00021184629],"domain_scores_gemma":[0.9994502,0.000023196008,0.00024703547,0.00020292909,0.000008008635,0.00006864155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008986288,0.00011942275,0.00026691603,0.00027134063,0.00004037487,0.0000460238,0.00020189851,0.0000595467,0.00007648412],"category_scores_gemma":[0.000011526732,0.00016599768,0.0000828332,0.00019624367,0.00010288288,0.0007282874,0.00010457766,0.00010699198,0.00022578922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022954768,0.00021353168,0.97336537,0.000011550459,0.000021230966,0.000007427277,0.0003756216,0.00014011243,0.0000017641929,0.017972216,0.00006789623,0.007800327],"study_design_scores_gemma":[0.000996082,0.00014663633,0.88544613,0.000024800047,0.000006869053,0.0000023657872,0.00033731674,0.0017185655,0.00002657682,0.0024278916,0.108528405,0.00033838765],"about_ca_topic_score_codex":0.0000822809,"about_ca_topic_score_gemma":0.00008339189,"teacher_disagreement_score":0.10846051,"about_ca_system_score_codex":0.00024075227,"about_ca_system_score_gemma":0.000012363014,"threshold_uncertainty_score":0.6769189},"labels":[],"label_agreement":null},{"id":"W1484613242","doi":"10.1023/a:1020242907259","title":"Provision Point Mechanisms and Field Validity Tests of Contingent Valuation","year":2002,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":236,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Contingent valuation; Economics; Valuation (finance); Willingness to pay; Public good; Microeconomics; External validity; Public economics; Econometrics; Actuarial science; Social psychology; Psychology","score_opus":0.06595991746903236,"score_gpt":0.18159412609630643,"score_spread":0.11563420862727407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484613242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99406594,0.0010294153,0.0005169688,0.0005311308,0.000077308,0.00023295039,0.000055708384,0.000010152753,0.0034804489],"genre_scores_gemma":[0.99646926,0.0016597367,0.0008663693,0.00025772236,0.000037689097,0.000011817446,0.000020628411,0.000017823795,0.00065897574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893653,0.000017795735,0.000492974,0.00037137905,0.000024396972,0.00015693506],"domain_scores_gemma":[0.99936163,0.000058504025,0.00032048053,0.0001767066,9.0363324e-7,0.0000817844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040866353,0.00014494015,0.00027145972,0.00007040469,0.000102271704,0.00002636894,0.00007152276,0.00011119229,0.000807579],"category_scores_gemma":[0.00001707127,0.00016702991,0.000056568526,0.00001394415,0.00009668211,0.00018032793,0.000118759606,0.00009106641,0.00014550268],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007028145,0.0007362423,0.87938607,0.00011296235,0.00016392635,0.0000024836588,0.004557764,0.0008332781,0.0053665023,0.059621993,0.0011865437,0.047961976],"study_design_scores_gemma":[0.0033809354,0.0012854798,0.8336368,0.00004112468,0.000059424252,0.000043548513,0.001486649,0.046729084,0.0076581803,0.07482475,0.02975322,0.0011007829],"about_ca_topic_score_codex":0.00003088644,"about_ca_topic_score_gemma":0.000004167512,"teacher_disagreement_score":0.046861194,"about_ca_system_score_codex":0.000087933244,"about_ca_system_score_gemma":0.0000010602945,"threshold_uncertainty_score":0.8842424},"labels":[],"label_agreement":null},{"id":"W1485046743","doi":"10.1787/5kg0t00hd0g3-en","title":"A Welfare Analysis of Climate Change Mitigation Policies","year":2011,"lang":"en","type":"paratext","venue":"OECD Economics Department working papers","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Life expectancy; Welfare; Shadow (psychology); Natural resource economics; Economics; Shadow price; China; Economic welfare; Public economics; Geography; Environmental health","score_opus":0.09163394410545053,"score_gpt":0.22902079026696176,"score_spread":0.13738684616151123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485046743","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24859907,0.003992931,0.00001909442,0.0003190922,0.0022550765,0.000772392,0.003409415,0.000034536104,0.7405984],"genre_scores_gemma":[0.9559641,0.032166187,0.0003496928,0.0004630219,0.00032501726,0.00031555453,0.0048859203,0.00011582718,0.005414682],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968216,0.00003121299,0.0015825388,0.0009283999,0.000037494436,0.00059880014],"domain_scores_gemma":[0.9969293,0.000043023374,0.0021596428,0.00072122616,0.0000077719,0.00013904038],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000490728,0.00052340416,0.0015290016,0.0010221436,0.00019852821,0.00008415478,0.00040797968,0.00046593597,0.015377888],"category_scores_gemma":[0.000005963984,0.0006965589,0.00078432664,0.00021889385,0.0001403213,0.00019053124,0.00018436223,0.00022069184,0.0073402324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014178999,0.00061442924,0.70397604,0.00042274536,0.014493294,0.0000032946598,0.0036653203,0.014250818,0.000009958879,0.23983432,0.004385722,0.018202275],"study_design_scores_gemma":[0.0009131941,0.00016268482,0.26736102,0.000100807265,0.0013809223,0.0000019496094,0.00025857048,0.001936191,0.00007171297,0.0009130634,0.72527623,0.0016236663],"about_ca_topic_score_codex":0.00036491014,"about_ca_topic_score_gemma":0.00025917403,"teacher_disagreement_score":0.7351837,"about_ca_system_score_codex":0.0007436216,"about_ca_system_score_gemma":0.00001581407,"threshold_uncertainty_score":0.99954855},"labels":[],"label_agreement":null},{"id":"W1486597875","doi":"","title":"Exogenous Targeting Instruments with Heterogeneous Agents","year":2003,"lang":"en","type":"article","venue":"ScholarWorks@UMassAmherst (University of Massachusetts Amherst)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"McMaster University","keywords":"Inefficiency; Outcome (game theory); Certainty; Business; Environmental economics; Microeconomics; Economics; Actuarial science; Mathematics","score_opus":0.051842735912994105,"score_gpt":0.1796508691580277,"score_spread":0.1278081332450336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486597875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9656145,0.000694274,0.00567261,0.00021737037,0.00026476855,0.0003706075,0.000083047,0.000066958724,0.027015882],"genre_scores_gemma":[0.9913219,0.00020843752,0.006528846,0.00013414383,0.00002394878,0.0000017997912,0.000054430668,0.00005295822,0.0016735172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980917,0.00009375605,0.00044412728,0.0007034413,0.00013701813,0.0005299738],"domain_scores_gemma":[0.9985932,0.000034476423,0.0006492395,0.00047305264,0.000032275635,0.00021775949],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000837153,0.00030932514,0.00052887085,0.00024372053,0.00046158096,0.00006880893,0.00044308958,0.00023615394,0.0034053926],"category_scores_gemma":[0.00004476102,0.00040940932,0.00019584055,0.00028926443,0.00022701283,0.0009091908,0.00009415881,0.0003592222,0.00079997774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011406522,0.0003760767,0.97904265,0.000055257548,0.0005150794,0.000047581903,0.0018973863,0.0037543005,0.00015651385,0.011135403,0.0016765216,0.0012291743],"study_design_scores_gemma":[0.026962591,0.0025000973,0.54102004,0.00045836857,0.0005497825,0.00017178057,0.03140112,0.0067994087,0.0021678838,0.018867709,0.3627417,0.0063595064],"about_ca_topic_score_codex":0.00023644771,"about_ca_topic_score_gemma":0.00006752007,"teacher_disagreement_score":0.43802258,"about_ca_system_score_codex":0.00049158774,"about_ca_system_score_gemma":0.000037162128,"threshold_uncertainty_score":0.999978},"labels":[],"label_agreement":null},{"id":"W1490426310","doi":"10.7939/r3br8mp4x","title":"Consumer Attitudes, Willingness to Pay and Revealed Preferences for Different Egg Production Attributes: Analysis of Canadian Egg Consumers","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Willingness to pay; Preference; Business; Consumption (sociology); Animal welfare; Welfare; Homogeneous; Marketing; Economics; Biology; Ecology","score_opus":0.15370222759889884,"score_gpt":0.31391749715110256,"score_spread":0.16021526955220372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490426310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920292,0.00073767506,0.00008031654,0.00048232553,0.00051628205,0.0018038201,0.0013556295,0.000012841198,0.0029819151],"genre_scores_gemma":[0.98202777,0.015113594,0.000833651,0.00006900693,0.00007414064,0.0004195944,0.00056894193,0.00004771773,0.0008456104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962037,0.000077202436,0.0014693845,0.0013958213,0.000078738885,0.0007751608],"domain_scores_gemma":[0.9977417,0.00040867567,0.0005832109,0.0007868281,0.00008332673,0.00039624362],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003225636,0.000364271,0.0013137216,0.0034496887,0.00017607343,0.00010276018,0.00042882143,0.00045506583,0.00017144858],"category_scores_gemma":[0.0005406552,0.000399904,0.0002535968,0.0005030826,0.0003369603,0.00012571624,0.0003097682,0.0005985509,0.000014269449],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006558574,0.00010035149,0.97529316,0.0002187046,0.000932148,8.2059273e-7,0.00046376066,0.008603536,0.000015079109,0.00081862655,0.000053610936,0.013434622],"study_design_scores_gemma":[0.00047209684,0.00009139884,0.98550814,0.00011042841,0.00011356192,8.23662e-7,0.00030825968,0.0034854407,0.00009073612,0.0017078555,0.007608414,0.0005028131],"about_ca_topic_score_codex":0.019056214,"about_ca_topic_score_gemma":0.13991149,"teacher_disagreement_score":0.12085528,"about_ca_system_score_codex":0.001609338,"about_ca_system_score_gemma":0.0002092796,"threshold_uncertainty_score":0.99984527},"labels":[],"label_agreement":null},{"id":"W1492603949","doi":"10.1023/a:1024010819749","title":"The Socioeconomic Significance of Nature-Based Recreation in Canada","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Health and Long Term Care; Ministry of the Environment, Conservation and Parks; Environment and Climate Change Canada; Ministry of Natural Resources and Forestry","funders":"","keywords":"Recreation; Socioeconomic status; General partnership; Context (archaeology); Regional science; Sinc function; Geography; Sociology; Political science; Demography; Population; Computer science; Archaeology","score_opus":0.024919038468061573,"score_gpt":0.21843992492647724,"score_spread":0.19352088645841567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492603949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956264,0.0015591441,0.00008083212,0.00013624443,0.00033100997,0.0001454202,0.00002575081,0.000002225373,0.0020930099],"genre_scores_gemma":[0.9985694,0.00062831055,0.00061222026,0.00001925557,0.000019372541,0.000041348976,0.000005733542,0.000009494268,0.00009481844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992358,0.000026193698,0.00035221817,0.00020732137,0.00003342325,0.00014500757],"domain_scores_gemma":[0.9995471,0.000086014166,0.00019413135,0.0001369619,5.8071623e-7,0.000035209272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036213256,0.000090798065,0.00014825004,0.000026795691,0.00009585304,0.000015222583,0.000066361994,0.00004317223,0.00006619068],"category_scores_gemma":[0.0000064253445,0.00009380679,0.000025246445,0.000018097971,0.00005083046,0.00007380687,0.000013869455,0.00015109683,0.0000075489415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024314336,0.000024745064,0.99310166,0.000004205094,0.000008876818,3.0499342e-7,0.000025562158,0.0008697487,0.00024886258,0.004293926,0.0000067969436,0.001412868],"study_design_scores_gemma":[0.00035022912,0.000021175825,0.9912247,0.0000068758504,0.0000020759205,3.0149718e-7,0.0006494751,0.00060329086,0.0033458187,0.001156119,0.0025359925,0.00010396069],"about_ca_topic_score_codex":0.057446163,"about_ca_topic_score_gemma":0.0070916456,"teacher_disagreement_score":0.050354518,"about_ca_system_score_codex":0.0012747721,"about_ca_system_score_gemma":0.000062802836,"threshold_uncertainty_score":0.94883037},"labels":[],"label_agreement":null},{"id":"W1496044810","doi":"10.1017/s1074070800027061","title":"Experimental Evidence on Willingness to Pay for Red Meat Traceability in the United States, Canada, the United Kingdom, and Japan","year":2005,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traceability; Willingness to pay; Common value auction; Product (mathematics); Business; Marketing; Verifiable secret sharing; Economics; Agricultural economics; Microeconomics; Computer science; Mathematics","score_opus":0.08408817041626815,"score_gpt":0.22537421512887165,"score_spread":0.1412860447126035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496044810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891452,0.00014905613,0.000022496492,0.010121914,0.000086117754,0.00035949203,0.00003105704,0.000002398094,0.00008223023],"genre_scores_gemma":[0.9976834,0.00021919423,0.00019005449,0.0016800412,0.00014340683,0.0000216021,0.000019019011,0.0000064256687,0.000036876383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990077,0.000016876409,0.0005929768,0.00019104042,0.000026548143,0.00016487627],"domain_scores_gemma":[0.99923515,0.00022410082,0.0003558262,0.00010083433,0.000011549928,0.000072538416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067244325,0.00013643886,0.00025495692,0.000060482096,0.00014593614,0.000082725615,0.00017973712,0.000044430068,0.000013227383],"category_scores_gemma":[0.000022857714,0.00007346571,0.00004353336,0.00009152895,0.000038851766,0.00016378955,0.00002742145,0.00015175276,0.0000026211922],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008093967,0.00047983284,0.16811106,0.00005877313,0.00021492795,5.1956476e-7,0.01221762,0.72346985,0.0006006528,0.082917474,0.007736783,0.0033831203],"study_design_scores_gemma":[0.00081479637,0.00017238689,0.98402244,0.000019844,0.000011441108,0.000016209808,0.0037266724,0.0012456025,0.0006255607,0.001015655,0.008132265,0.0001971511],"about_ca_topic_score_codex":0.0064253197,"about_ca_topic_score_gemma":0.009508579,"teacher_disagreement_score":0.81591135,"about_ca_system_score_codex":0.00030089793,"about_ca_system_score_gemma":0.0000136286535,"threshold_uncertainty_score":0.9713204},"labels":[],"label_agreement":null},{"id":"W1498486420","doi":"10.1080/08941920802022297","title":"A Place-Based, Values-Centered Approach to Managing Recreation on Canadian Crown Lands","year":2008,"lang":"en","type":"article","venue":"Society & Natural Resources","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Recreation; Valuation (finance); Public participation GIS; Variety (cybernetics); Geographic information system; Environmental planning; Environmental resource management; Identification (biology); Geography; Sociology; Computer science; Ecology; Cartography; Business; Environmental science","score_opus":0.06768136958080012,"score_gpt":0.20541926381406084,"score_spread":0.13773789423326072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498486420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665127,0.0007783288,0.0002422906,0.0014539673,0.00017085823,0.00024856627,0.000058651643,0.000038515947,0.030496141],"genre_scores_gemma":[0.99107045,0.00010998868,0.0018372718,0.0031293123,0.00012706291,0.000026044305,0.00012350749,0.000022868611,0.0035535078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989326,0.000015195371,0.00027486673,0.00040443934,0.00005536349,0.0003175067],"domain_scores_gemma":[0.9994656,0.00003198774,0.000117091506,0.00021212996,0.00000759671,0.00016560711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031214044,0.00015194759,0.00020772993,0.00011784042,0.00035548798,0.000050580966,0.00017547079,0.0001036568,0.000108066204],"category_scores_gemma":[0.000027561473,0.00016763905,0.00018361736,0.00015227882,0.00005625379,0.00012211176,0.000024635283,0.00018313645,0.00042551212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003015339,0.00042460667,0.76749367,0.00011798237,0.00040670656,0.000009609345,0.0343464,0.051454373,0.000087839355,0.010132079,0.12928261,0.005942613],"study_design_scores_gemma":[0.0020313377,0.00020063992,0.7109298,0.000054515058,0.000016805792,0.000009754933,0.0017380359,0.095195614,0.000120000455,0.0010010134,0.18784694,0.0008555638],"about_ca_topic_score_codex":0.008397607,"about_ca_topic_score_gemma":0.0005664039,"teacher_disagreement_score":0.058564328,"about_ca_system_score_codex":0.0006704671,"about_ca_system_score_gemma":0.000022093265,"threshold_uncertainty_score":0.99820554},"labels":[],"label_agreement":null},{"id":"W1501030095","doi":"","title":"Risk preference, ambiguity aversion and technology choice: Experimental and survey evidence from rural peru","year":2006,"lang":"en","type":"article","venue":"Artefactual Field Experiments","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Ambiguity; Preference; Ambiguity aversion; Survey data collection; Risk aversion (psychology); Economics; Ambiguity tolerance; Econometrics; Expected utility hypothesis; Microeconomics; Computer science; Statistics; Financial economics; Mathematics","score_opus":0.0993892422762673,"score_gpt":0.252248546000003,"score_spread":0.1528593037237357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501030095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99431986,0.0040477356,0.00015919146,0.00011736841,0.00017490609,0.0001600505,0.0000784888,0.000029531244,0.00091286475],"genre_scores_gemma":[0.99892503,0.00039021822,0.00020824432,0.000086731445,0.000047323585,0.00002212957,0.000047456164,0.000011381958,0.0002615057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990074,0.000027433149,0.00032799278,0.00040105009,0.000036301895,0.00019981335],"domain_scores_gemma":[0.99941504,0.00014227058,0.00016213635,0.00021539615,0.0000059336426,0.000059219266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000177748,0.00015842546,0.00023484037,0.00008660441,0.00016182142,0.000056782144,0.00011247352,0.00015351808,0.00082921574],"category_scores_gemma":[0.000075947835,0.00018251296,0.000026052743,0.00005508243,0.00009198666,0.00037893862,0.00015118366,0.00012685783,0.00020063494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017102622,0.000056099103,0.99511147,0.0000016191134,0.00001665857,3.6945386e-7,0.00045810468,0.0000024285252,0.0029009124,0.00034170217,0.00055115175,0.000542383],"study_design_scores_gemma":[0.0006197104,0.00018570622,0.96441185,0.000014293787,0.000004298321,9.355791e-7,0.00055324635,0.00050257356,0.031172683,0.00207697,0.00023652911,0.00022118587],"about_ca_topic_score_codex":0.012735099,"about_ca_topic_score_gemma":0.00013270478,"teacher_disagreement_score":0.030699601,"about_ca_system_score_codex":0.00007361274,"about_ca_system_score_gemma":0.00000422973,"threshold_uncertainty_score":0.9938392},"labels":[],"label_agreement":null},{"id":"W1501606210","doi":"","title":"A Flexible Semi-Parametric Approach to Estimating a Dose-Response Relationship: the Treatment of Childhood Amblyopia.","year":2007,"lang":"en","type":"article","venue":"Collection of Biostatistics Research Archive","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariate; Bayesian probability; Confounding; Parametric statistics; Flexibility (engineering); Random effects model; Econometrics; Bayesian inference; Computer science; Mixed model; Mathematics; Statistics; Medicine","score_opus":0.17403837553126464,"score_gpt":0.3308276810665618,"score_spread":0.15678930553529716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501606210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5176382,0.0002292942,0.46767002,0.00012694145,0.00012791205,0.0010507745,0.00042218255,0.000013357344,0.012721297],"genre_scores_gemma":[0.91801196,0.000088550216,0.08053479,0.000011000145,0.000044412984,0.00007560255,0.000044798322,0.00001761144,0.0011712526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837565,0.00014970782,0.0007055829,0.00032128056,0.00012944767,0.00031831182],"domain_scores_gemma":[0.9967203,0.0025048156,0.00028737562,0.0003167159,0.00005600993,0.000114751856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00270894,0.00011606618,0.00027099598,0.0010907145,0.0003476216,0.000028482329,0.00017327383,0.000055460783,0.000053717384],"category_scores_gemma":[0.0017017875,0.00010966597,0.0000803084,0.0013119522,0.00023125735,0.0000601559,0.000053046737,0.00015321028,0.00010756602],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004569343,0.008644633,0.42831203,0.00025180329,0.0006617367,0.000005681415,0.054276895,0.06541731,0.0019850244,0.39876777,0.012208063,0.024899716],"study_design_scores_gemma":[0.0010430613,0.0021033913,0.9150166,0.000019602854,0.000009794336,0.0000050233875,0.00089999463,0.044064414,0.0013629677,0.033454437,0.0018672533,0.00015347883],"about_ca_topic_score_codex":0.0004353973,"about_ca_topic_score_gemma":0.000034560067,"teacher_disagreement_score":0.48670456,"about_ca_system_score_codex":0.00045156345,"about_ca_system_score_gemma":0.00007629644,"threshold_uncertainty_score":0.44720483},"labels":[],"label_agreement":null},{"id":"W1501730704","doi":"10.1007/s00267-008-9253-9","title":"Multi-Destination and Multi-Purpose Trip Effects in the Analysis of the Demand for Trips to a Remote Recreational Site","year":2009,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Social Sciences and Humanities Research Council of Canada; Atlantic Canada Opportunities Agency; Parks Canada; St. Francis Xavier University","keywords":"Recreation; TRIPS architecture; Variable (mathematics); Weighting; Sample (material); Geography; Transport engineering; Operations research; Economics; Business; Engineering; Mathematics","score_opus":0.04466996887861894,"score_gpt":0.22440533476609748,"score_spread":0.17973536588747854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501730704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95459515,0.00030777528,0.042732,0.0005552928,0.000045121527,0.0014046706,0.00006261667,0.000003868597,0.0002935198],"genre_scores_gemma":[0.98573536,0.00012843403,0.012875845,0.0005928001,0.000009703864,0.000058426922,0.000052848794,0.0000065354693,0.0005400448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913967,0.000035071364,0.0003601887,0.00028985232,0.00004810393,0.00012714059],"domain_scores_gemma":[0.9995124,0.000060601236,0.00017572974,0.00022417438,8.2114275e-7,0.000026296842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063683896,0.00010709439,0.00020193901,0.00020108474,0.00008481252,0.00001993052,0.00013968196,0.000034115285,0.000030145036],"category_scores_gemma":[0.000021888263,0.00009012534,0.0001013525,0.00019410702,0.000034970093,0.000087490786,0.00005168593,0.000043722608,0.000020936366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011497299,0.0011084465,0.8698658,0.00006825851,0.0004834172,0.0000022476177,0.0036796937,0.026163932,0.0008025375,0.009941191,0.0001734249,0.08759612],"study_design_scores_gemma":[0.0011922289,0.000065615925,0.9339386,0.000010030369,0.00010359779,2.8650663e-7,0.00012386512,0.06293077,0.000043418957,0.00092928694,0.00056735415,0.00009493542],"about_ca_topic_score_codex":0.000027264887,"about_ca_topic_score_gemma":0.000028923783,"teacher_disagreement_score":0.08750118,"about_ca_system_score_codex":0.00017046095,"about_ca_system_score_gemma":7.8871847e-7,"threshold_uncertainty_score":0.36752045},"labels":[],"label_agreement":null},{"id":"W1503313906","doi":"10.2139/ssrn.1856207","title":"Multivariate Visual Diffusion for Social Groups","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Diffusion; Psychology; Mathematics; Statistics; Geography; Physics; Thermodynamics","score_opus":0.08178339491950672,"score_gpt":0.2393087630938821,"score_spread":0.1575253681743754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503313906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91230875,0.0005921987,0.08284912,0.0001587443,0.00034300936,0.00016649016,0.000013961188,0.000016297983,0.0035513984],"genre_scores_gemma":[0.9973666,0.0005196911,0.0003855533,0.00008854241,0.00035021323,0.000016954418,0.000011611064,0.000026289497,0.0012345149],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998345,0.000012782408,0.00040262067,0.00020879276,0.000022651593,0.0010081542],"domain_scores_gemma":[0.9995597,0.000013884636,0.0003096187,0.00006424894,0.000008139068,0.000044380133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012310965,0.00011277568,0.00019907817,0.0000908155,0.0002814805,0.000024467305,0.00014045587,0.00008721702,0.0003014873],"category_scores_gemma":[0.000021796914,0.00012601285,0.00015442497,0.000040237308,0.000030146812,0.00023746806,0.00002912747,0.00039334878,0.00029950662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007016344,0.00016812586,0.0479815,0.0000037106563,0.00010343886,2.5580377e-7,0.0009089281,0.0000038359512,0.00011109869,0.9430846,0.000068898255,0.0074954657],"study_design_scores_gemma":[0.0015574015,0.00032637944,0.15559427,0.0000024041478,0.000013348006,0.00002022895,0.0007566527,0.0012580648,0.00004804037,0.83882296,0.0013762121,0.00022405086],"about_ca_topic_score_codex":0.00009765661,"about_ca_topic_score_gemma":0.0000709289,"teacher_disagreement_score":0.107612774,"about_ca_system_score_codex":0.00072355045,"about_ca_system_score_gemma":0.000065321256,"threshold_uncertainty_score":0.5138655},"labels":[],"label_agreement":null},{"id":"W1506106331","doi":"10.1023/a:1026352903371","title":"Valuing the Canadian Broadcasting Corporation","year":2003,"lang":"en","type":"article","venue":"Journal of Cultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Corporation; Contingent valuation; Willingness to pay; Valuation (finance); Preference; Government (linguistics); Public broadcasting; Cultural economics; Broadcasting (networking); Public opinion; Economics; Business; Advertising; Political science; Marketing; The arts; Accounting; Finance; Computer science; Law","score_opus":0.147077940682435,"score_gpt":0.2132313651639253,"score_spread":0.06615342448149031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506106331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9591931,0.0006492475,0.0002916106,0.000866427,0.00087333965,0.00008079613,0.000009915202,0.0000029357307,0.038032625],"genre_scores_gemma":[0.9977443,0.00021585012,0.0009932006,0.00041044224,0.00016957616,0.0000015466799,0.0000038570893,0.000010918118,0.000450302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894476,0.00002070316,0.00073033164,0.00011282628,0.000016696575,0.0001746963],"domain_scores_gemma":[0.9988088,0.000030588013,0.00091216556,0.00011066211,0.000027852393,0.00010992598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010948435,0.0000955006,0.00021597989,0.00008891979,0.0002411953,0.0001647321,0.00015527722,0.00006556648,0.000316586],"category_scores_gemma":[0.00013225748,0.000079989986,0.000124335,0.00004845857,0.00005035701,0.00066434784,0.000008995338,0.00017047796,0.0002453709],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009945298,0.000032178006,0.20288752,0.0000076148226,0.00014238083,0.0000035930577,0.0019179939,0.038296748,0.000064473985,0.7515347,0.0030248037,0.0020780314],"study_design_scores_gemma":[0.0024929452,0.0002987662,0.21791065,0.000042217245,0.00006434258,0.0006889172,0.004238374,0.012557744,0.00085314945,0.17381766,0.586067,0.0009682126],"about_ca_topic_score_codex":0.0024839314,"about_ca_topic_score_gemma":0.0068953005,"teacher_disagreement_score":0.5830422,"about_ca_system_score_codex":0.00064106943,"about_ca_system_score_gemma":0.0000725338,"threshold_uncertainty_score":0.38477394},"labels":[],"label_agreement":null},{"id":"W1506916721","doi":"","title":"Existence and Magnitude of Health-related Externalities: Evidence from a Choice Experiment","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Externality; Respondent; Context (archaeology); Preference; Health care; Set (abstract data type); Public economics; Value (mathematics); Health economics; Economics; Choice set; Actuarial science; Psychology; Microeconomics; Econometrics; Political science; Statistics; Geography; Computer science","score_opus":0.25563143331367155,"score_gpt":0.3331479085962806,"score_spread":0.07751647528260902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506916721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96364343,0.014989746,0.000015935302,0.00022724296,0.00038082618,0.0007209815,0.00021799906,0.000017732991,0.019786086],"genre_scores_gemma":[0.9509982,0.045190092,0.0021494718,0.00006436652,0.000068130066,0.00023488763,0.00005460912,0.000055953922,0.0011843314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99578875,0.00019562064,0.0020886036,0.0012642685,0.000079027894,0.00058369746],"domain_scores_gemma":[0.997127,0.0005075189,0.0011653879,0.0009968387,0.000024546443,0.00017868378],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003149911,0.00033034457,0.0010980922,0.00041509973,0.00010777202,0.00008022636,0.0006452296,0.0003643635,0.0009044343],"category_scores_gemma":[0.0003668082,0.00043471492,0.0001613694,0.00006542259,0.00046565384,0.00027033305,0.0010874586,0.00082252437,0.000068855086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013174355,0.0005350816,0.89149964,0.00070448144,0.00041288056,0.000010116368,0.015453923,0.0015103135,0.00011647097,0.013296297,0.00004576361,0.07628331],"study_design_scores_gemma":[0.0013934919,0.00034916124,0.8746113,0.0016215529,0.000011344873,0.0000056359595,0.0022210034,0.006100928,0.00043307315,0.11053895,0.0017199161,0.0009936464],"about_ca_topic_score_codex":0.011214345,"about_ca_topic_score_gemma":0.00029854017,"teacher_disagreement_score":0.09724265,"about_ca_system_score_codex":0.0012205119,"about_ca_system_score_gemma":0.00015132203,"threshold_uncertainty_score":0.99981046},"labels":[],"label_agreement":null},{"id":"W1508310404","doi":"10.1029/2005wr004798","title":"Travel cost demand model based river recreation benefit estimates with on‐site and household surveys: Comparative results and a correction procedure—Reevaluation","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Social Sciences and Humanities Research Council of Canada; St. Francis Xavier University","keywords":"Recreation; Truncation (statistics); Stratification (seeds); Econometrics; Statistics; Sample (material); Survey data collection; Environmental science; Mathematics; Hydrology (agriculture); Economics; Geology; Ecology","score_opus":0.20662771844275146,"score_gpt":0.28680379322934024,"score_spread":0.08017607478658878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508310404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99188316,0.00015827852,0.0038353936,0.0002082118,0.000019448486,0.0006597626,0.0001424281,0.000020331636,0.003073],"genre_scores_gemma":[0.9972069,0.00005129035,0.0006108157,0.000027289141,0.000036182646,0.00010626432,0.00031760827,0.000023018902,0.0016206143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985599,0.00011768301,0.000362447,0.00054048037,0.00012673519,0.00029277938],"domain_scores_gemma":[0.99942666,0.0001719211,0.00011563085,0.00017604958,0.00003945114,0.000070258946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028511144,0.00015531755,0.00024590673,0.00031195366,0.0003676374,0.00016407613,0.00006633937,0.00009265942,0.000021955917],"category_scores_gemma":[0.000038246155,0.00013074127,0.000020104239,0.00011116483,0.00023378857,0.0002456696,0.000038600283,0.00020344465,0.00006505961],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080691854,0.00021647238,0.533751,0.00005351118,0.00003985371,0.0000016512673,0.0070345304,0.45534858,0.00065974134,0.000498349,0.00057967525,0.0010096917],"study_design_scores_gemma":[0.0011261506,0.00019837402,0.51903284,0.00002968541,0.000004371157,0.0000020295042,0.00009579183,0.4757921,0.0020014697,0.0015009287,0.00009202717,0.00012420735],"about_ca_topic_score_codex":0.0016449287,"about_ca_topic_score_gemma":0.00043864813,"teacher_disagreement_score":0.02044353,"about_ca_system_score_codex":0.00017513424,"about_ca_system_score_gemma":0.000007918163,"threshold_uncertainty_score":0.53314745},"labels":[],"label_agreement":null},{"id":"W1508426550","doi":"","title":"An Empirical Model of Demand for Future Health States when Valuing Risk-Mitigating Programs","year":2004,"lang":"en","type":"preprint","venue":"Scholars' Bank (University of Oregon)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Health Canada; U.S. Environmental Protection Agency","keywords":"Actuarial science; Probabilistic logic; Statistical model; Economics; Marginal utility; Value (mathematics); Economic model; Econometrics; Risk analysis (engineering); Business; Computer science; Microeconomics","score_opus":0.09125263328992349,"score_gpt":0.25065381119354774,"score_spread":0.15940117790362424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508426550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88858396,0.0009600038,0.107861765,0.000654738,0.00015600972,0.0006749828,0.0009048614,0.000030250669,0.0001734072],"genre_scores_gemma":[0.91166896,0.00084960915,0.08652555,0.00007191666,0.00007146353,0.000003352744,0.0006929411,0.00003235264,0.00008383474],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834317,0.000052301897,0.0005586697,0.0006711442,0.00006982259,0.00030487866],"domain_scores_gemma":[0.99767655,0.00002512312,0.0016154019,0.00048304623,0.00004756509,0.00015231779],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013714306,0.00023595744,0.00074598147,0.00020989211,0.00027692923,0.00004685598,0.00047770713,0.0003345203,0.00008795038],"category_scores_gemma":[0.000023770646,0.00033986574,0.00030095762,0.000068042595,0.00015166646,0.000617246,0.00024993328,0.0005110608,0.000015053683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011727997,0.0005794606,0.5628331,0.0011644829,0.00039698667,0.000001139571,0.02315516,0.37496427,0.00002157589,0.015517436,0.00023856336,0.021010583],"study_design_scores_gemma":[0.0028350712,0.000601865,0.21356347,0.0003426197,0.00011273473,0.0000015010176,0.006076623,0.41608757,0.000051747487,0.3589264,0.00059150986,0.0008089219],"about_ca_topic_score_codex":0.0007669692,"about_ca_topic_score_gemma":0.00016891296,"teacher_disagreement_score":0.3492696,"about_ca_system_score_codex":0.0004902998,"about_ca_system_score_gemma":0.00015043064,"threshold_uncertainty_score":0.99990535},"labels":[],"label_agreement":null},{"id":"W1511533066","doi":"","title":"LAS VIAS PECUARIAS Y LA PLANIFICACION TERRITORIAL","year":2010,"lang":"es","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Political science; Art","score_opus":0.07419977079860823,"score_gpt":0.2838900319136004,"score_spread":0.20969026111499217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511533066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76698256,0.00019879291,0.000019747384,0.0004920724,0.006034354,0.0011363386,0.00071086985,0.000046841167,0.2243784],"genre_scores_gemma":[0.9544571,0.034035385,0.00073873694,0.00007794499,0.0030501434,0.00035985158,0.00054878555,0.0002110103,0.006521054],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99309224,0.00037133187,0.002443194,0.0024510098,0.00018064634,0.0014615494],"domain_scores_gemma":[0.9955643,0.0009827458,0.0010469402,0.0019158778,0.000044445125,0.0004457049],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0060480586,0.0007977469,0.0015268782,0.0011829017,0.0004005719,0.00087673904,0.0014274787,0.0023431364,0.0012820414],"category_scores_gemma":[0.0006078493,0.0011008792,0.0005274822,0.00016220067,0.00077627547,0.00062132854,0.001413779,0.0047164774,0.001260368],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094811,0.0028038807,0.620674,0.00081722107,0.0010199439,0.00014722382,0.004017426,0.019115247,0.00073104264,0.14868343,0.0011707986,0.19987164],"study_design_scores_gemma":[0.003723653,0.0003786947,0.35161862,0.00028608786,0.00003359162,0.000041630796,0.0011186268,0.016353147,0.00032487,0.021292957,0.60259265,0.0022354806],"about_ca_topic_score_codex":0.0006993405,"about_ca_topic_score_gemma":0.00063734676,"teacher_disagreement_score":0.60142183,"about_ca_system_score_codex":0.0024405245,"about_ca_system_score_gemma":0.00033576784,"threshold_uncertainty_score":0.9996309},"labels":[],"label_agreement":null},{"id":"W1512525021","doi":"10.1111/j.1744-7976.2010.01216.x","title":"Bioeconomic Modeling of Wetlands and Waterfowl in Western Canada: Accounting for Amenity Values","year":2011,"lang":"en","type":"preprint","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Agriculture and Agri-Food Canada; Environmental Restoration and Conservation Agency","keywords":"Waterfowl; Amenity; Wetland; Nonmarket forces; Geography; Ecosystem; Population; Ecosystem services; Fishery; Environmental science; Ecology; Environmental resource management; Habitat; Economics; Biology","score_opus":0.0926127197319473,"score_gpt":0.17257232262234193,"score_spread":0.07995960289039462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512525021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927627,0.0014884203,0.000059213893,0.0007356551,0.0021187242,0.00058813853,0.0015540561,0.000004277433,0.00068885024],"genre_scores_gemma":[0.9979618,0.0004955321,0.00042927702,0.00014779235,0.00047254696,0.000040215204,0.00017467547,0.00005969747,0.00021842001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99539214,0.000029261759,0.0029250854,0.00077247835,0.000009128975,0.00087187876],"domain_scores_gemma":[0.9959161,0.00009632468,0.0026927681,0.00038008334,0.00009049152,0.0008241916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011992265,0.00056053686,0.0018459405,0.0007038626,0.0001407342,0.00014877578,0.00074064813,0.0004286559,0.00014234195],"category_scores_gemma":[0.000083719395,0.00062881655,0.0003572076,0.00005383079,0.00014055225,0.0006041141,0.00013617249,0.0005720801,0.000010000257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007956265,0.000037305246,0.84227866,0.0005225279,0.0005589952,0.0000136253975,0.0032460778,0.13964418,0.000010802277,0.012735525,0.00043924584,0.000433468],"study_design_scores_gemma":[0.0035251814,0.00050296646,0.8838441,0.0006490232,0.00021512134,0.00021679257,0.0030960112,0.025727294,0.000149103,0.077572495,0.00196055,0.0025413858],"about_ca_topic_score_codex":0.856272,"about_ca_topic_score_gemma":0.99513906,"teacher_disagreement_score":0.13886705,"about_ca_system_score_codex":0.0046294564,"about_ca_system_score_gemma":0.00125052,"threshold_uncertainty_score":0.9996163},"labels":[],"label_agreement":null},{"id":"W1513823607","doi":"10.22004/ag.econ.9977","title":"A Comparative Analysis of US and Canadian Consumers' Perceptions Towards BSE Testing and the use of GM Organisms in Beef Production: Evidence from a Choice Experiment","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Traceability; Variety (cybernetics); Business; Food safety; Production (economics); Quality (philosophy); Perception; Marketing; Economics; Engineering; Food science; Biology","score_opus":0.3068545932314944,"score_gpt":0.28255037356874546,"score_spread":0.024304219662748927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513823607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99727935,0.00093473063,0.0002240642,0.0004273783,0.000045241337,0.00041686805,0.0004499614,0.000002405933,0.00021999178],"genre_scores_gemma":[0.99533176,0.0012854292,0.0031672732,0.000017002618,0.000009182781,0.0000017811545,0.00004246562,0.000005200155,0.00013992327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998834,0.000079598605,0.0003951678,0.00046166836,0.00006347233,0.00016608325],"domain_scores_gemma":[0.9986176,0.00046186353,0.00043632757,0.00032209783,0.00006139715,0.000100709374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008258312,0.00013709543,0.00071811833,0.0006829092,0.00011223052,0.000021737393,0.00019395137,0.00012659369,0.0005993874],"category_scores_gemma":[0.00016761715,0.00016890206,0.000093196504,0.00035510072,0.00073771196,0.00028446625,0.0002774591,0.00022116589,0.000007999008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004706364,0.000050539707,0.97159505,0.000047716952,0.0005386203,0.0000022530116,0.0228996,0.0034701545,0.0002516055,0.00018354319,0.000029768593,0.00088410696],"study_design_scores_gemma":[0.0004743912,0.000034175402,0.98052305,0.00007853284,0.00016889865,6.533275e-7,0.005756074,0.012557683,0.00011251248,0.00008642929,0.000071527815,0.0001360639],"about_ca_topic_score_codex":0.7137317,"about_ca_topic_score_gemma":0.3385445,"teacher_disagreement_score":0.3751872,"about_ca_system_score_codex":0.0002891709,"about_ca_system_score_gemma":0.000101432546,"threshold_uncertainty_score":0.6887626},"labels":[],"label_agreement":null},{"id":"W1514195908","doi":"10.1016/s0167-6296(02)00052-8","title":"Should we use willingness to pay to elicit community preferences for health care?","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; European Commission","keywords":"Willingness to pay; Preference; Ranking (information retrieval); Context (archaeology); Consistency (knowledge bases); Preference elicitation; Marginal utility; Contingent valuation; Health care; Economics; Actuarial science; Econometrics; Microeconomics; Mathematics; Computer science; Geography","score_opus":0.4395535978058941,"score_gpt":0.32759693611589263,"score_spread":0.11195666169000146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514195908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95594674,0.0026285504,0.008249159,0.030877005,0.0010201749,0.00070464204,0.000308758,0.000011212066,0.00025373267],"genre_scores_gemma":[0.9712866,0.005010904,0.009575267,0.013577883,0.00024286899,0.000029706263,0.000014094235,0.000039869232,0.00022281647],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99721915,0.00008265023,0.0019853956,0.00024281756,0.00002983528,0.00044017483],"domain_scores_gemma":[0.99744695,0.0001995063,0.0015489083,0.00033964493,0.000037436454,0.0004275637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022048969,0.00019168004,0.0008542661,0.00026635744,0.00037668433,0.00010820015,0.00038209575,0.00008800684,0.0001506251],"category_scores_gemma":[0.00011940351,0.00019683847,0.00017329857,0.0000857237,0.000024974272,0.00048770447,0.0000670567,0.0003365414,0.00022023758],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002778694,0.00095183094,0.62592024,0.0007988186,0.00030055895,7.831825e-7,0.052748278,0.055760987,0.0000055590467,0.015274713,0.07644143,0.17151895],"study_design_scores_gemma":[0.0020572299,0.0035867495,0.31486034,0.00017105909,0.000012099787,0.000020027881,0.0032900318,0.002110582,0.00003711203,0.00874513,0.66442066,0.00068893464],"about_ca_topic_score_codex":0.00060480786,"about_ca_topic_score_gemma":0.00043891894,"teacher_disagreement_score":0.58797926,"about_ca_system_score_codex":0.0013512155,"about_ca_system_score_gemma":0.00009039107,"threshold_uncertainty_score":0.802684},"labels":[],"label_agreement":null},{"id":"W1519077523","doi":"10.15353/rea.v4i2.1386","title":"Cost Benefit Analysis of UNESCO World Heritage Site Designation in Nova Scotia","year":2013,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Acadia University","funders":"Mount Allison University; Acadia University","keywords":"Nova scotia; Visitor pattern; World heritage; Context (archaeology); Geography; Scale (ratio); Archaeology; Cartography; Tourism; Computer science","score_opus":0.09636306943579871,"score_gpt":0.26179327611449477,"score_spread":0.16543020667869607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519077523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96430564,0.026961895,0.0018697781,0.00022717845,0.000063243584,0.00055628,0.00022459825,0.000007210883,0.005784151],"genre_scores_gemma":[0.9856273,0.012692419,0.00073545036,0.00017828133,0.0000140951,0.000031043313,0.0003483342,0.000014994206,0.00035807875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99726516,0.000031970623,0.0020076993,0.00045928892,0.000033592325,0.00020231614],"domain_scores_gemma":[0.9978616,0.000088206434,0.0014415127,0.00052209746,0.000022715645,0.00006386112],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010764708,0.00018584459,0.001690593,0.0018733168,0.000018528357,0.000019911351,0.0002346808,0.00006477063,0.019138975],"category_scores_gemma":[0.000027397127,0.000223431,0.0008097187,0.0018349503,0.00006490615,0.0004159336,0.000051688206,0.000073358,0.0013621973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020458135,0.00006746174,0.95570344,0.00027429676,0.0024533635,1.525161e-7,0.000058708047,0.033707596,0.00001996511,0.0063245827,0.00012544125,0.0012629696],"study_design_scores_gemma":[0.00026539536,0.000016699041,0.926688,0.00018636757,0.0020306879,1.3492385e-7,0.000038200815,0.06930719,0.000057280115,0.0008600166,0.00028526923,0.0002647585],"about_ca_topic_score_codex":0.007655839,"about_ca_topic_score_gemma":0.008291449,"teacher_disagreement_score":0.0355996,"about_ca_system_score_codex":0.0003979483,"about_ca_system_score_gemma":0.000013084322,"threshold_uncertainty_score":0.99941534},"labels":[],"label_agreement":null},{"id":"W1520093590","doi":"","title":"The Cost of Meeting Consumer Demand","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commodity; Business; Supply and demand; Commerce; Consumer demand; Economics; Agricultural economics; Market economy; Microeconomics; Finance","score_opus":0.10391897979983108,"score_gpt":0.29179022161977797,"score_spread":0.18787124181994688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520093590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76497835,0.0038549623,0.000048022885,0.000509527,0.00080346473,0.001318374,0.00024466548,0.000020214224,0.2282224],"genre_scores_gemma":[0.96251607,0.03549737,0.0002710822,0.000045657893,0.000105669315,0.00024138912,0.000051540475,0.000058988026,0.0012122531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99682695,0.00009997022,0.001509285,0.00082485104,0.00007125854,0.0006677148],"domain_scores_gemma":[0.99751955,0.00055236166,0.00078592595,0.0009929701,0.00002985167,0.00011936138],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004503767,0.00027336538,0.00068977417,0.0003260269,0.0002562781,0.00012708097,0.0007472566,0.00039145496,0.0001671319],"category_scores_gemma":[0.00044609702,0.00029393393,0.00022992866,0.00008298749,0.0006403602,0.000109489854,0.00085837144,0.0010427451,0.00014069412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013473677,0.00038021943,0.6279857,0.00039276344,0.00051342306,0.000009988414,0.001218548,0.21061528,0.000047735906,0.06318237,0.00018284746,0.095336385],"study_design_scores_gemma":[0.0053586247,0.00029433705,0.51608145,0.0010235482,0.000040739884,0.000019403771,0.0026811035,0.05254711,0.0010001096,0.2756382,0.14282621,0.0024891598],"about_ca_topic_score_codex":0.0004058576,"about_ca_topic_score_gemma":0.0003553984,"teacher_disagreement_score":0.22701015,"about_ca_system_score_codex":0.0015502673,"about_ca_system_score_gemma":0.00019667394,"threshold_uncertainty_score":0.9999513},"labels":[],"label_agreement":null},{"id":"W1521079543","doi":"10.1111/j.1746-692x.2011.00204.x","title":"Agri‐environmental Programmes and Trade Negotiations in the United States and the European Union  Programmes agroenvironnementaux et négociations commerciales aux États‐Unis et dans l’Union européenne  Agrarumweltprogramme und Verhandlungen im Außenhandel in den USA und der europäischen Union","year":2011,"lang":"en","type":"article","venue":"EuroChoices","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"European union; Subsidy; International trade; Liberian dollar; Common Agricultural Policy; Market access; Agriculture; Competition (biology); Externality; Economics; International economics; Business; Economic policy; Political science; Market economy; Geography; Finance","score_opus":0.07402594117185884,"score_gpt":0.2545863616120151,"score_spread":0.18056042044015624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521079543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98490995,0.0033297418,0.0011447724,0.0063013574,0.00007950526,0.0011113717,0.00009953052,0.000039171922,0.002984577],"genre_scores_gemma":[0.99160516,0.005725388,0.00048073477,0.0011880565,0.000040735264,0.000104288054,0.00071533275,0.00005667261,0.000083656974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965177,0.0015977299,0.0007719882,0.0005663355,0.00010467291,0.00044155767],"domain_scores_gemma":[0.998836,0.0002832719,0.00043903085,0.00034046982,0.000005590899,0.00009567264],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031260632,0.0003420909,0.00033684887,0.00029460562,0.00054964883,0.00027104857,0.00038602008,0.000073731084,0.00004170748],"category_scores_gemma":[0.000057647612,0.00028180602,0.000077214085,0.00037981418,0.0008643635,0.0005937997,0.00021170953,0.00036706676,0.000046153214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029660941,0.00065567374,0.9379819,0.00002494117,0.00016389966,0.000007737388,0.030890567,0.0002362945,0.00003960153,0.020223986,0.000106844476,0.0096388655],"study_design_scores_gemma":[0.0021963639,0.00017730902,0.9769205,0.000024708641,0.00009703089,0.0000051001907,0.0047875843,0.0011779759,0.000017892438,0.005071134,0.009200643,0.00032379208],"about_ca_topic_score_codex":0.0054844613,"about_ca_topic_score_gemma":0.0072741234,"teacher_disagreement_score":0.038938537,"about_ca_system_score_codex":0.00011050562,"about_ca_system_score_gemma":0.000013663956,"threshold_uncertainty_score":0.9999634},"labels":[],"label_agreement":null},{"id":"W1522601278","doi":"10.5751/es-01640-110144","title":"The Relation Between Income and Hunting in Tropical Forests: an Economic Experiment in the Field","year":2006,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Relation (database); Geography; Tropical and subtropical moist broadleaf forests; Ecology; Field (mathematics); Tropical forest; Forestry; Subtropics; Biology; Mathematics","score_opus":0.030458169140861115,"score_gpt":0.23414142632276727,"score_spread":0.20368325718190616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522601278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715257,0.00033414032,0.000043803077,0.0011807986,0.00005300849,0.000110367175,0.0000022670386,0.0000028603322,0.0011201856],"genre_scores_gemma":[0.9994031,0.0001719469,0.00009045181,0.00019410641,0.00007016326,0.000024901128,0.0000064877586,0.0000032873952,0.000035511774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943674,0.00002825146,0.00026169504,0.00015098069,0.0000067425235,0.00011556664],"domain_scores_gemma":[0.99957436,0.00026118138,0.00007618454,0.00007723484,5.7633554e-7,0.000010486374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054102304,0.000050748837,0.000107626154,0.000015706237,0.00015311792,0.00002792866,0.000057904734,0.00009870516,0.000020242658],"category_scores_gemma":[0.000010813689,0.000042849635,0.000024006948,0.000017504342,0.00006854989,0.0001268175,0.000027560458,0.00011298921,0.000010746474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016095286,0.000009883172,0.9548754,0.0000011395479,0.0000032004032,1.01565355e-7,0.00071418146,0.000072579576,5.55626e-7,0.04409397,0.000045131437,0.00018224158],"study_design_scores_gemma":[0.00031836508,0.000043646545,0.97118145,0.0000010566108,0.0000011966281,4.6555897e-7,0.0005617049,0.002265745,0.0000033682784,0.025103947,0.0004692444,0.000049829418],"about_ca_topic_score_codex":0.00030143664,"about_ca_topic_score_gemma":0.0024259833,"teacher_disagreement_score":0.018990025,"about_ca_system_score_codex":0.00009100664,"about_ca_system_score_gemma":0.0000035322832,"threshold_uncertainty_score":0.17473575},"labels":[],"label_agreement":null},{"id":"W1523308299","doi":"","title":"A Study of the Impact of the Wetlands Easement Program on Agricultural Land Valuest","year":2016,"lang":"en","type":"article","venue":"Land Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wetland; Groundwater recharge; Recreation; Arable land; Easement; Waterfowl; Population; Resource (disambiguation); Wildlife; Land use; Agriculture; Habitat; Marsh; Environmental science; Geography; Water resource management; Environmental protection; Groundwater; Ecology; Aquifer","score_opus":0.06261824715845325,"score_gpt":0.22844016976792264,"score_spread":0.16582192260946937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523308299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99543077,0.0000236531,0.0000013492648,0.00020224752,0.0002368129,0.00055230624,0.000153115,0.000006547858,0.0033932251],"genre_scores_gemma":[0.9994214,0.00005330221,0.000008467502,0.000021504531,0.000059788174,0.000036794987,0.000004235489,0.000010370328,0.00038411925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991181,0.000020537613,0.0004760303,0.00021279982,0.000020102569,0.00015245339],"domain_scores_gemma":[0.9990537,0.00003487068,0.00047697054,0.00039454,0.0000060415027,0.00003387576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023768898,0.00012444217,0.0002677142,0.00003121599,0.00006829494,0.000016305929,0.0002690417,0.00004874688,0.00014404194],"category_scores_gemma":[0.000015176695,0.000057659825,0.00019496681,0.00004359328,0.000054260618,0.000089606896,0.0000952304,0.000053298612,0.00007438918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017129922,0.00044580092,0.9956756,0.0000032653113,0.00008219696,3.753133e-8,0.00020470217,0.0019384486,0.000011011867,0.00093441806,0.00011312011,0.0005742288],"study_design_scores_gemma":[0.0012864526,0.000414262,0.9965349,0.000012504066,0.000010586472,0.0000010907559,0.00008537038,0.00021545611,0.00011555496,0.0010554036,0.00017000063,0.00009843183],"about_ca_topic_score_codex":0.00044350786,"about_ca_topic_score_gemma":0.00030037222,"teacher_disagreement_score":0.003990675,"about_ca_system_score_codex":0.0001886287,"about_ca_system_score_gemma":0.000011216484,"threshold_uncertainty_score":0.23512994},"labels":[],"label_agreement":null},{"id":"W1532158480","doi":"10.5751/es-02919-140218","title":"Valuing the Provisioning Services of Wetlands: Contrasting a Rural Wetland in Lesotho with a Peri-Urban Wetland in South Africa","year":2009,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Water Research Commission","keywords":"Wetland; Provisioning; Geography; Peri; Ecosystem services; Ecology; Environmental protection; Water resource management; Environmental resource management; Environmental planning; Ecosystem; Environmental science; Biology","score_opus":0.022000957910530933,"score_gpt":0.18991938824664423,"score_spread":0.16791843033611328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532158480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971334,0.0006679059,0.000059311733,0.000285574,0.000031144304,0.00018999359,0.000008145957,0.000006191436,0.0016183426],"genre_scores_gemma":[0.9993046,0.000111107285,0.00027109458,0.00019156442,0.000028332355,0.000013909198,0.0000070018014,0.000006211716,0.00006616929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918735,0.00002509988,0.00035043445,0.00020482249,0.000018973697,0.00021332002],"domain_scores_gemma":[0.9995889,0.00008296102,0.00020895571,0.00009070996,0.0000041754142,0.000024319132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006834228,0.000101639576,0.00028385728,0.000043265154,0.00011364372,0.000022370383,0.000083210776,0.00010325018,0.000031326763],"category_scores_gemma":[0.00001134515,0.00008318886,0.000045239653,0.00008732337,0.00008569684,0.00013219095,0.000026247046,0.00016246675,0.0000047978488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018573994,0.000034245204,0.9707322,0.000016083288,0.000014157427,7.216685e-7,0.027474446,0.00029868755,0.00004455798,0.0012425038,0.000011057482,0.00011277193],"study_design_scores_gemma":[0.0012706926,0.00012964236,0.9820968,0.000033359076,0.0000054363654,0.0000023587547,0.008003345,0.00683857,0.000010269357,0.0014288203,0.00007472967,0.000105959436],"about_ca_topic_score_codex":0.000042689502,"about_ca_topic_score_gemma":0.0002555106,"teacher_disagreement_score":0.019471101,"about_ca_system_score_codex":0.00005622136,"about_ca_system_score_gemma":0.00001075957,"threshold_uncertainty_score":0.33923432},"labels":[],"label_agreement":null},{"id":"W1534388213","doi":"10.7202/602304ar","title":"Évaluation et régulation de l’effet de serre d’origine agricole","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.1312195840359111,"score_gpt":0.2517805640602883,"score_spread":0.1205609800243772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534388213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9450625,0.0025723362,0.018057145,0.016228646,0.0008329498,0.0005193282,0.00017479745,0.00006353882,0.016488766],"genre_scores_gemma":[0.96635216,0.0023831157,0.009010381,0.0068209115,0.00059990777,0.000053608055,0.0003111839,0.00004680424,0.01442195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975124,0.0001856678,0.0010047707,0.0006284736,0.00003040304,0.0006383056],"domain_scores_gemma":[0.99856585,0.00018685174,0.00060807547,0.00043256392,0.000018650726,0.00018800164],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002593545,0.00034402718,0.0005343042,0.00019808815,0.00014619979,0.0001858824,0.00023764643,0.00049029686,0.0019391347],"category_scores_gemma":[0.00015902278,0.0005003112,0.00022567183,0.00013933219,0.0000739615,0.0009555316,0.000043584983,0.00033133078,0.0012327192],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007129375,0.0006213969,0.24755356,0.00008775045,0.0001488232,0.000005643942,0.007733198,0.06837681,0.00053979456,0.57326007,0.004356896,0.09724479],"study_design_scores_gemma":[0.00084609416,0.00023385251,0.71375316,0.00006384628,0.000038770464,0.000023373103,0.00014949842,0.07386281,0.0009383751,0.16312769,0.04642435,0.000538139],"about_ca_topic_score_codex":0.0010628467,"about_ca_topic_score_gemma":0.0001735802,"teacher_disagreement_score":0.46619964,"about_ca_system_score_codex":0.0019036458,"about_ca_system_score_gemma":0.0001320069,"threshold_uncertainty_score":0.99974483},"labels":[],"label_agreement":null},{"id":"W1534923278","doi":"10.1016/j.aap.2013.02.012","title":"Evaluating alternate discrete choice frameworks for modeling ordinal discrete variables","year":2013,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Interpretability; Discrete choice; Aggregate (composite); Context (archaeology); Ordinal data; Variable (mathematics); Computer science; Ordinal regression; Process (computing); Mathematics; Econometrics; Data mining; Machine learning","score_opus":0.11093489203833612,"score_gpt":0.3194922202351557,"score_spread":0.2085573281968196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534923278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5392067,0.00030014422,0.4592839,0.00019412061,0.00011318677,0.0003671576,0.0000026108905,0.000020253216,0.0005119653],"genre_scores_gemma":[0.98384005,0.00012583075,0.013203089,0.000098481636,0.00019801813,0.00036003318,0.00036422437,0.000029589086,0.0017806671],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979379,0.000044077293,0.000987237,0.00061873515,0.000078492616,0.00033353388],"domain_scores_gemma":[0.9987601,0.00008935118,0.0006394971,0.00039050056,0.000037833288,0.00008269],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012571309,0.00020376012,0.00047410026,0.00031578555,0.00022197276,0.00025601505,0.0002609928,0.00017765551,0.0028810971],"category_scores_gemma":[0.00015892545,0.00023281288,0.0005354535,0.00028924647,0.000018741408,0.0011130001,0.00009792146,0.00018237848,0.00045870332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008635996,0.000039548944,0.72606623,0.0000047847366,0.0009295685,7.470513e-8,0.00009815564,0.26232368,0.00006653823,0.006906367,0.000068354,0.0034880599],"study_design_scores_gemma":[0.00041830816,0.000053569453,0.109984264,0.000018507408,0.00043378078,3.0647556e-7,0.00006641408,0.7779442,0.000021942033,0.110767394,0.00005149909,0.0002397803],"about_ca_topic_score_codex":0.0015284863,"about_ca_topic_score_gemma":0.00035167148,"teacher_disagreement_score":0.61608195,"about_ca_system_score_codex":0.00021164527,"about_ca_system_score_gemma":0.0000080236305,"threshold_uncertainty_score":0.9980304},"labels":[],"label_agreement":null},{"id":"W1535669865","doi":"10.1016/j.jmp.2014.09.002","title":"Bayesian inference and model comparison for random choice structures","year":2014,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Prior probability; Markov chain Monte Carlo; Inference; Conjugate prior; Bayesian inference; Axiom; Posterior probability; Bayesian probability; Computer science; Mathematics; Markov chain; Joint probability distribution; Applied mathematics; Algorithm; Econometrics; Artificial intelligence; Statistics; Machine learning","score_opus":0.14801565075675674,"score_gpt":0.33799402154223784,"score_spread":0.1899783707854811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535669865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24786273,0.00016118138,0.7476054,0.000731091,0.00010569862,0.00007758586,0.000004700784,0.0000025532881,0.0034490658],"genre_scores_gemma":[0.9683113,0.000029276114,0.031002387,0.0004974909,0.00008406774,0.0000038374687,9.4266096e-7,0.000008920786,0.00006174351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990326,0.000015258768,0.0006888738,0.00012346724,0.00001993463,0.00011984002],"domain_scores_gemma":[0.9990111,0.00032147666,0.0004819209,0.0001077559,0.000010952631,0.000066806446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007759173,0.0000773785,0.00042222085,0.000075688506,0.000034022178,0.0000184626,0.000109576606,0.000081681574,0.00016381002],"category_scores_gemma":[0.00038392356,0.000070843394,0.0000728641,0.000017397977,0.00006583568,0.0000988151,0.000014327311,0.00010645716,0.000027124714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013607366,0.0002086795,0.05126033,0.00010235883,0.00008609807,2.314458e-7,0.00050106266,0.004120655,0.00012291124,0.9364573,0.0024093657,0.0045949807],"study_design_scores_gemma":[0.0017293855,0.00014926854,0.017974172,0.000008141524,0.000010310356,0.000011862068,0.000012023914,0.18565428,0.000011253251,0.7935145,0.0008537105,0.000071119],"about_ca_topic_score_codex":6.530149e-7,"about_ca_topic_score_gemma":6.916132e-7,"teacher_disagreement_score":0.7204486,"about_ca_system_score_codex":0.000018953977,"about_ca_system_score_gemma":0.000003122589,"threshold_uncertainty_score":0.288891},"labels":[],"label_agreement":null},{"id":"W1540014220","doi":"10.2139/ssrn.310886","title":"An Extended Random Coefficients Model, with Application to Metric Conjoint Analysis","year":2002,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Conjoint analysis; Mathematics; Metric (unit); Statistics; Econometrics; Computer science; Economics; Preference; Operations management","score_opus":0.02558927043018548,"score_gpt":0.21413599360932378,"score_spread":0.18854672317913831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540014220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30176806,0.012969639,0.6823189,0.0013116597,0.00015031711,0.00032620414,0.000046585337,0.0000139387985,0.0010946669],"genre_scores_gemma":[0.977049,0.0114094615,0.0014803947,0.00031536777,0.00016236672,0.00003744217,0.000039922354,0.00004687604,0.009459154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99641263,0.00007110389,0.0008812151,0.0006502009,0.00011857125,0.001866286],"domain_scores_gemma":[0.9985432,0.000034849872,0.00065560127,0.00046473905,0.00004127971,0.00026032163],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024505702,0.00028669802,0.0006527571,0.00097522483,0.00030986086,0.00015800813,0.00037229937,0.00015996335,0.00078575156],"category_scores_gemma":[0.000030767358,0.00033183146,0.00026401214,0.001275136,0.00008142271,0.0005516841,0.00003197538,0.00087552407,0.0010939175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010974326,0.0007281001,0.035286207,0.000006808649,0.0015563995,0.00000116535,0.00051221444,0.8063131,0.000017387672,0.10273343,0.00010345623,0.052631997],"study_design_scores_gemma":[0.0027564198,0.00086121244,0.011738295,0.000009326003,0.0005738291,0.000059270285,0.0005651816,0.9566897,0.000016313204,0.024558017,0.0016756111,0.0004967887],"about_ca_topic_score_codex":0.00019528612,"about_ca_topic_score_gemma":0.00067031616,"teacher_disagreement_score":0.6808385,"about_ca_system_score_codex":0.0032361338,"about_ca_system_score_gemma":0.000112373775,"threshold_uncertainty_score":0.9999134},"labels":[],"label_agreement":null},{"id":"W1542170359","doi":"10.3386/w15844","title":"Valuing ecosystem services in general equilibrium","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"General equilibrium theory; Ecosystem services; Ecosystem; Environmental resource management; Business; Economics; Natural resource economics; Environmental science; Ecology; Microeconomics; Biology","score_opus":0.48077359506642514,"score_gpt":0.4438136487316521,"score_spread":0.036959946334773064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542170359","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4490518,0.0014000685,0.0000032358744,0.00025351575,0.0012870943,0.00053476874,0.0005393637,0.000013036157,0.5469171],"genre_scores_gemma":[0.98759055,0.0010808166,0.0003166453,0.000025584888,0.0012962257,0.0001477342,0.00088033476,0.000082539,0.008579587],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99602664,0.0000816407,0.001994771,0.0009447666,0.00037661416,0.00057555415],"domain_scores_gemma":[0.9978712,0.00030822662,0.0009936192,0.00049710297,0.00020910618,0.000120696684],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.010724506,0.00029658398,0.0009607367,0.001616153,0.00007699564,0.00010521182,0.00076184346,0.00077701407,0.0025769663],"category_scores_gemma":[0.0002372339,0.00038645774,0.00025399504,0.00017033753,0.00013262463,0.00044223803,0.00031914108,0.0011082748,0.0023316918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058182057,0.00032909095,0.34257227,0.0013146863,0.00036087385,0.000007766476,0.00038344398,0.010333093,0.00052524544,0.63006675,0.013043673,0.0010049389],"study_design_scores_gemma":[0.0018919,0.00017177827,0.12427702,0.00036466972,0.00001416286,0.000037565296,0.00015733246,0.032340754,0.00042325602,0.743186,0.09596699,0.0011686076],"about_ca_topic_score_codex":0.0049198675,"about_ca_topic_score_gemma":0.0019668194,"teacher_disagreement_score":0.53853875,"about_ca_system_score_codex":0.0037261238,"about_ca_system_score_gemma":0.0007633234,"threshold_uncertainty_score":0.99985874},"labels":[],"label_agreement":null},{"id":"W1543495305","doi":"10.1002/agr.21435","title":"Consumer Preference for Sustainable Attributes in Plants: Evidence from Experimental Auctions","year":2015,"lang":"en","type":"article","venue":"Agribusiness","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"EconLit; Willingness to pay; Latent class model; Business; Price premium; Common value auction; Production (economics); Sustainability; Mainstream; Preference; Marketing; Product (mathematics); Conjoint analysis; Economics; Microeconomics","score_opus":0.3042530503888308,"score_gpt":0.2630742126387862,"score_spread":0.041178837750044606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1543495305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900256,0.0044825478,0.0036474057,0.00031719185,0.00027264026,0.0003735515,0.0001698278,0.000021028536,0.0006902185],"genre_scores_gemma":[0.9979201,0.00011997514,0.0006085925,0.000068952075,0.00007827713,0.0001931358,0.00016929212,0.000012380035,0.0008292797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902886,0.000010308627,0.00035728083,0.0003297081,0.000025188378,0.00024866758],"domain_scores_gemma":[0.9994856,0.00009568355,0.00014265583,0.00018478224,0.000027024915,0.000064224936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033787018,0.00011252164,0.00022814958,0.00008459939,0.00006345589,0.00005473811,0.0001438956,0.00007296434,0.00021279581],"category_scores_gemma":[0.00017638355,0.00013016125,0.000034274857,0.00009797248,0.0000474287,0.00078126,0.00006659902,0.000054171254,0.00033722867],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082846105,0.00022985943,0.97541505,0.000021552178,0.000030085106,0.0000037495001,0.0009545504,0.0018372908,0.00017825139,0.014189147,0.006873315,0.00018427659],"study_design_scores_gemma":[0.002197973,0.00009249761,0.94450855,0.000068296344,0.000008045804,0.0000031660309,0.0032985266,0.003534887,0.0026779014,0.025948588,0.017184377,0.00047717494],"about_ca_topic_score_codex":0.002563657,"about_ca_topic_score_gemma":0.00007263867,"teacher_disagreement_score":0.03090651,"about_ca_system_score_codex":0.0003765126,"about_ca_system_score_gemma":0.000029311508,"threshold_uncertainty_score":0.5307822},"labels":[],"label_agreement":null},{"id":"W1544682703","doi":"10.1017/s1074070800027103","title":"Evidence on the Amenity Value of Wetlands in a Rural Setting","year":2005,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Amenity; Wetland; Property value; Residential property; Value (mathematics); Quarter (Canadian coin); Geography; Property (philosophy); Environmental science; Business; Ecology; Statistics; Mathematics; Economic geography; Real estate","score_opus":0.048794567610768315,"score_gpt":0.19352351852347968,"score_spread":0.14472895091271137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544682703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940196,0.00032569922,0.000009935181,0.0025139453,0.000066111716,0.00009862784,0.00000826843,0.0000017414341,0.002956061],"genre_scores_gemma":[0.99804455,0.0011225133,0.0003647474,0.00024341902,0.00016615234,0.0000036026968,0.0000015090123,0.000004620001,0.000048895345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998998,0.000008673621,0.0007407793,0.000108994675,0.000018660001,0.00012487639],"domain_scores_gemma":[0.99899983,0.00012886495,0.00074648915,0.00007611023,0.000006543994,0.00004213994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000704094,0.000102893915,0.00029572044,0.000060835486,0.00004946188,0.000031027692,0.00014226562,0.000051289255,0.000063132116],"category_scores_gemma":[0.000023987708,0.00006793577,0.000079546924,0.0000449672,0.00004568761,0.0002610246,0.00003546313,0.00016737243,0.00003434247],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001890836,0.00028284235,0.43462726,0.00004403099,0.00015051234,2.7618069e-7,0.002425185,0.095968336,0.0025651208,0.44949508,0.0009808016,0.013271457],"study_design_scores_gemma":[0.00042441697,0.00007588195,0.9926386,0.000043956756,0.0000060257476,0.000012911575,0.001064252,0.00019373996,0.0014469821,0.0038449878,0.00013738246,0.00011086343],"about_ca_topic_score_codex":0.000018132163,"about_ca_topic_score_gemma":0.000023731354,"teacher_disagreement_score":0.5580113,"about_ca_system_score_codex":0.00019717283,"about_ca_system_score_gemma":0.0000063153852,"threshold_uncertainty_score":0.277034},"labels":[],"label_agreement":null},{"id":"W1546235073","doi":"10.1300/j047v14n03_05","title":"Consumer Preferences in the Emerging Bison Industry","year":2003,"lang":"en","type":"article","venue":"Journal of International Food & Agribusiness Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Conjoint analysis; Preference; Business; Stock (firearms); Tenderness; Marketing; Sustainability; Economics; Geography; Microeconomics; Biology; Food science; Ecology","score_opus":0.0807287917744828,"score_gpt":0.23891179324259998,"score_spread":0.15818300146811717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546235073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787842,0.0010202469,0.00028563102,0.0011444814,0.00085692416,0.00005676736,0.000009332116,0.0000022092763,0.017840222],"genre_scores_gemma":[0.9990146,0.00028184225,0.00030805223,0.00017518936,0.00013532834,0.00000388755,0.000003588285,0.000007211779,0.00007027195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988419,0.0000802413,0.0007446927,0.00012257214,0.0000837326,0.00012687601],"domain_scores_gemma":[0.9989117,0.00018387851,0.00076152,0.00007709498,0.000042289023,0.000023522103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032016598,0.00009036546,0.00017991362,0.00020404877,0.000050202827,0.00007404845,0.0002786491,0.000081580794,0.0006749039],"category_scores_gemma":[0.0007517157,0.00007490815,0.00007238586,0.00013663387,0.000027722013,0.00038882587,0.000023029856,0.00033159475,0.000024247609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022479313,0.00006956737,0.98971045,0.0000066963457,0.00005216378,0.0000027255126,0.0001892176,0.0009460445,0.00001599126,0.007610722,0.00036498683,0.0010089467],"study_design_scores_gemma":[0.00050216255,0.000032121814,0.9788537,0.000069691385,0.0000051967113,0.000053121003,0.00084043166,0.00027487203,0.00003726035,0.0039657135,0.01525827,0.00010745392],"about_ca_topic_score_codex":0.000015553205,"about_ca_topic_score_gemma":0.000011222455,"teacher_disagreement_score":0.020230442,"about_ca_system_score_codex":0.00012137521,"about_ca_system_score_gemma":0.000019143388,"threshold_uncertainty_score":0.7389725},"labels":[],"label_agreement":null},{"id":"W1546241865","doi":"10.1111/cobi.12317","title":"Solving conservation's money problems","year":2014,"lang":"en","type":"editorial","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tariff; Business; Natural resource economics; Crude oil; Barrel (horology); International trade; Agricultural economics; Economics; Geography; Engineering; Archaeology","score_opus":0.07710717453634397,"score_gpt":0.22960846595848897,"score_spread":0.152501291422145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546241865","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010947353,0.00241087,0.017222036,0.0038004539,0.95103127,0.0007993727,0.0010470421,0.00018394385,0.012557678],"genre_scores_gemma":[0.055802297,0.003254162,0.0034709314,0.0077070408,0.88545215,0.0007692551,0.022813514,0.00030429536,0.020426383],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975321,0.00006692835,0.0011872235,0.0008090952,0.000046688267,0.00035791527],"domain_scores_gemma":[0.9974788,0.00057652354,0.0012873049,0.0005018801,0.00007637664,0.000079111116],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011839411,0.00033614054,0.0007467037,0.00023814708,0.00017239113,0.00007564993,0.00035024516,0.0011884368,0.00095742254],"category_scores_gemma":[0.0011000651,0.0004207747,0.00014658409,0.00011222611,0.0001914764,0.00020868394,0.000112534224,0.00044753784,0.002881492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000616277,0.000025912303,0.070235126,0.000057063255,0.0000618862,2.0404643e-7,0.000059199978,0.00003180319,0.000025519672,0.029455055,0.8998339,0.00020812306],"study_design_scores_gemma":[0.00060014415,0.00008236402,0.008632125,0.00003114859,0.000013676941,5.858039e-7,0.000008311993,0.0033763605,0.0000063550333,0.030437963,0.95637786,0.00043308144],"about_ca_topic_score_codex":0.0010287515,"about_ca_topic_score_gemma":0.00015713194,"teacher_disagreement_score":0.06557913,"about_ca_system_score_codex":0.00030881623,"about_ca_system_score_gemma":0.000084740095,"threshold_uncertainty_score":0.99995583},"labels":[],"label_agreement":null},{"id":"W1547254955","doi":"10.1002/atr.1297","title":"Nature of influence of out‐of‐vehicle time‐related attributes on transit attractiveness: a random parameters logit model analysis","year":2014,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Logit; Attractiveness; Respondent; Transit (satellite); Econometrics; Mixed logit; Statistics; Logistic regression; Transfer (computing); Preference; Binary logit model; Choice set; Mathematics; Computer science; Operations research; Economics; Transport engineering; Public transport; Psychology; Engineering","score_opus":0.025345844999216695,"score_gpt":0.2207561836067094,"score_spread":0.1954103386074927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547254955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97053605,0.00019678993,0.028846268,0.00006328024,0.00005436177,0.00010421618,0.00013221384,0.000002823349,0.000064011474],"genre_scores_gemma":[0.9968899,0.00016692084,0.0028482084,0.000020795014,0.000005935977,0.0000020565449,0.000041330997,0.00000999737,0.000014855247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9983834,0.000022800214,0.0012640444,0.00015447229,0.000080282414,0.000095024756],"domain_scores_gemma":[0.99766076,0.00015826276,0.0019342059,0.0001322386,0.00007559964,0.00003896615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000552398,0.00011094117,0.0006842142,0.00030465118,0.000019392832,0.0000032083813,0.00011657869,0.00013071882,0.000035658155],"category_scores_gemma":[0.00004988066,0.0001161044,0.0003376897,0.00022278028,0.00006337557,0.000434835,0.0000012270885,0.00017838787,0.0000043548166],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000390012,0.00011958653,0.0703352,0.000034400477,0.00034352473,3.3808774e-7,0.00070980086,0.9177389,0.008799145,0.0010082077,9.486036e-7,0.0005198973],"study_design_scores_gemma":[0.0030245623,0.00035022353,0.9315934,0.00007112716,0.00030585806,5.012852e-7,0.000082139544,0.040035326,0.016498448,0.007891389,0.000008617498,0.0001383812],"about_ca_topic_score_codex":0.000010694456,"about_ca_topic_score_gemma":0.000008457533,"teacher_disagreement_score":0.8777036,"about_ca_system_score_codex":0.0000512421,"about_ca_system_score_gemma":0.000012709213,"threshold_uncertainty_score":0.47346},"labels":[],"label_agreement":null},{"id":"W1547534503","doi":"10.1002/atr.201","title":"Bayesian imputation of non‐chosen attribute values in revealed preference surveys","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Econometrics; Imputation (statistics); Statistics; Bayesian probability; Computer science; Multinomial probit; Sample (material); Replicate; Calibration; Data mining; Mathematics; Missing data","score_opus":0.06318925710744769,"score_gpt":0.24493523641158066,"score_spread":0.18174597930413297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547534503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940096,0.0004877429,0.05878277,0.000046709614,0.0002747321,0.00012163993,0.00004249591,0.0000026319562,0.00014522612],"genre_scores_gemma":[0.99382555,0.00038070534,0.0056203133,0.000014279762,0.000055541215,0.0000038595,0.000052765183,0.000011159165,0.000035851033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986096,0.000033744127,0.0010561462,0.00010359403,0.0000499591,0.00014693846],"domain_scores_gemma":[0.99869496,0.000046643916,0.0010892621,0.0000816946,0.000031099553,0.000056335426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001418626,0.0000881884,0.00031757425,0.00019462487,0.000019496107,0.0000052078803,0.0000778693,0.000060515915,0.000071605406],"category_scores_gemma":[0.000032927033,0.000100633515,0.000085144944,0.00013279657,0.00002241968,0.0010209207,0.0000017596424,0.00010598347,0.000013156804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027946107,0.00010093207,0.9584143,0.000030520318,0.00001907931,8.0810264e-7,0.0019652739,0.035728134,0.00066230865,0.0004083333,0.000008003694,0.0026343127],"study_design_scores_gemma":[0.0009631478,0.00009766383,0.9941369,0.00004146993,0.000009869119,0.0000013167681,0.0002696891,0.0002520795,0.0006690533,0.0034291183,0.00003543052,0.000094243944],"about_ca_topic_score_codex":0.000031514406,"about_ca_topic_score_gemma":0.00002914726,"teacher_disagreement_score":0.053729475,"about_ca_system_score_codex":0.00012007559,"about_ca_system_score_gemma":0.000012156944,"threshold_uncertainty_score":0.41037157},"labels":[],"label_agreement":null},{"id":"W1550168381","doi":"","title":"Voluntary environmental programs and technical efficiency: Another examination of the Porter hypothesis","year":2006,"lang":"en","type":"book","venue":"SHAREOK (University of Oklahoma)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Turnover; Operations management; Business; Economics; Management","score_opus":0.03783356674213555,"score_gpt":0.14315513284196704,"score_spread":0.10532156609983148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550168381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.585274,0.00087159546,0.00029566447,0.00015111336,0.00011621389,0.00075583317,0.0010517773,0.000023676863,0.41146016],"genre_scores_gemma":[0.8035234,0.00009178264,0.00036049765,0.000021616153,0.000024139887,9.194425e-7,0.00018705684,0.00002386989,0.19576672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917656,0.000013480415,0.00027426504,0.00034492064,0.0000656431,0.00012511475],"domain_scores_gemma":[0.99902445,0.00002586363,0.0006197269,0.00030099117,0.0000039671395,0.000024974504],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021230619,0.00015571098,0.0003484699,0.00012061676,0.000090171234,0.000007617314,0.0002765991,0.00022698294,0.0011532989],"category_scores_gemma":[0.000004234554,0.00018498345,0.00017241423,0.000038701524,0.00041184554,0.0001340507,0.00017656133,0.00012613328,0.00007712657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008216316,0.0015972316,0.85407346,0.00057783467,0.00054724223,0.000017339431,0.0023185832,0.00010580863,0.00051295327,0.019795699,0.047386706,0.072985],"study_design_scores_gemma":[0.00040909028,0.00008132412,0.9744871,0.000058040718,0.000050197737,0.000004890235,0.00008855987,0.00019001172,0.000014649496,0.002544133,0.021847276,0.00022468736],"about_ca_topic_score_codex":0.00010165833,"about_ca_topic_score_gemma":0.000069609545,"teacher_disagreement_score":0.21824943,"about_ca_system_score_codex":0.00029588817,"about_ca_system_score_gemma":0.00001840568,"threshold_uncertainty_score":0.9997598},"labels":[],"label_agreement":null},{"id":"W1550318867","doi":"10.2139/ssrn.4417056","title":"Does Waste Management Policy Crowd Out Social and Moral Motives for Recycling?","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Business; Environmental economics; Economics","score_opus":0.10132141642418944,"score_gpt":0.2752749646011383,"score_spread":0.17395354817694886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550318867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.938795,0.003916505,0.03586576,0.011656089,0.0031699843,0.0013021268,0.00047999408,0.00009299095,0.0047215526],"genre_scores_gemma":[0.9534266,0.021815319,0.0005045566,0.00012882487,0.0019033555,0.00009601451,0.000070187,0.00008655066,0.02196858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973447,0.00002247257,0.0006994098,0.00054963154,0.00004408139,0.0013397372],"domain_scores_gemma":[0.99904346,0.000029502433,0.0006746205,0.00017692652,0.000010790729,0.00006471494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019175122,0.0002639149,0.0004739473,0.0003545941,0.0003106256,0.00016453382,0.00028232776,0.00022062132,0.000025067104],"category_scores_gemma":[0.00003676888,0.0002501628,0.00026354636,0.000046290435,0.000073133844,0.00014677443,0.00032102398,0.0011013804,0.00010813706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006297605,0.000078109464,0.053085715,0.00017233512,0.0011622371,0.0000015632617,0.0012703061,0.00089036237,0.0000037874843,0.9298003,0.00048448957,0.012987838],"study_design_scores_gemma":[0.0007862732,0.00007669554,0.023935916,0.000025708654,0.000040913405,0.0000040221785,0.0016636354,0.0008351652,0.0000067858423,0.9709731,0.0013271559,0.00032464048],"about_ca_topic_score_codex":0.00013667926,"about_ca_topic_score_gemma":0.00029358172,"teacher_disagreement_score":0.041172806,"about_ca_system_score_codex":0.0018082975,"about_ca_system_score_gemma":0.00016626618,"threshold_uncertainty_score":0.99999505},"labels":[],"label_agreement":null},{"id":"W1553094290","doi":"10.1111/j.1744-7976.2005.00025.x","title":"Carbon Sequestration in Agricultural Soils: Discounting for Uncertainty","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Discounting; Carbon sequestration; News aggregator; Economics; Carbon fibers; Constraint (computer-aided design); Agriculture; Econometrics; Environmental science; Computer science; Mathematics; Carbon dioxide; Geography; Ecology","score_opus":0.06193832099693912,"score_gpt":0.17523520099338669,"score_spread":0.11329687999644757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553094290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98837787,0.00064911606,0.00001875427,0.0043446454,0.0010852395,0.0004406439,0.0002691569,0.000007853469,0.0048067067],"genre_scores_gemma":[0.9969985,0.00010079542,0.000559769,0.00026988666,0.0012604968,0.000040542283,0.00014011953,0.00003028089,0.0005996238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99681735,0.000020653746,0.0018213402,0.00048937823,0.000008099356,0.00084320654],"domain_scores_gemma":[0.99764204,0.000082511884,0.0012919822,0.00020369368,0.00006467652,0.0007151244],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087021984,0.00034449637,0.00077498215,0.00043499353,0.00017272106,0.00019566908,0.0004319241,0.00020988141,0.00020707626],"category_scores_gemma":[0.00010890406,0.0003482528,0.00031689773,0.000120254044,0.00009332942,0.001208601,0.000017654247,0.00028671333,0.00006912316],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000802641,0.000097890676,0.28469115,0.000098971264,0.00037418836,0.000016403155,0.0060146935,0.40506566,0.0001713627,0.29772595,0.0020767439,0.0035867079],"study_design_scores_gemma":[0.002427919,0.00037625813,0.9541036,0.0000979086,0.00003601796,0.00020278011,0.003935455,0.006743501,0.00012126974,0.015594376,0.015239543,0.0011213848],"about_ca_topic_score_codex":0.031640366,"about_ca_topic_score_gemma":0.74399966,"teacher_disagreement_score":0.7123593,"about_ca_system_score_codex":0.005306025,"about_ca_system_score_gemma":0.0002580449,"threshold_uncertainty_score":0.99989694},"labels":[],"label_agreement":null},{"id":"W1553324755","doi":"","title":"ECONOMIC TOOLS FOR MANAGING IMPACTS OF URBAN CANADA GEESE","year":2000,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Economic impact analysis; Lawn; Business; Environmental planning; Scale (ratio); Environmental resource management; Geography; Natural resource economics; Economics; Ecology","score_opus":0.03650636971865514,"score_gpt":0.1697404462650867,"score_spread":0.13323407654643155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553324755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97961444,0.00021824578,0.00035307487,0.00045002004,0.000101880876,0.0002015668,0.00044533395,0.00000668313,0.018608768],"genre_scores_gemma":[0.99545085,0.00018261044,0.0010147478,0.00006484721,0.000034944478,5.8790164e-7,0.00004542781,0.000009769284,0.0031962174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993682,0.0000057276766,0.00023675722,0.00021371231,0.000019396171,0.00015619816],"domain_scores_gemma":[0.99944186,0.00005777332,0.00024703622,0.00018383127,0.00000550983,0.00006400141],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016468407,0.00008194786,0.00027660362,0.00008073324,0.00007612669,0.000009177301,0.00019304907,0.00005328644,0.0026679896],"category_scores_gemma":[0.000007989792,0.00012983101,0.00009830064,0.00004272489,0.000051845407,0.00035665825,0.000030159721,0.000039817583,0.00010216517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037484267,0.00026300168,0.7817826,0.00032307877,0.00050884415,0.000008607658,0.0024280802,0.020009505,0.0001620161,0.09680913,0.03444545,0.062884815],"study_design_scores_gemma":[0.0025315732,0.00018915902,0.8677776,0.000033178796,0.00003412604,0.000001960421,0.0015021011,0.015590697,0.00015174579,0.007770138,0.10397777,0.00043995946],"about_ca_topic_score_codex":0.15254526,"about_ca_topic_score_gemma":0.107923426,"teacher_disagreement_score":0.08903898,"about_ca_system_score_codex":0.00034477093,"about_ca_system_score_gemma":0.00007260951,"threshold_uncertainty_score":0.9982437},"labels":[],"label_agreement":null},{"id":"W1553574005","doi":"10.5751/es-03839-160127","title":"Ex Ante Impact Assessment of Policies Affecting Land Use, Part A: Analytical Framework","year":2011,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Sixth Framework Programme; European Commission; Australian Government","keywords":"Ex-ante; Land use; Environmental science; Environmental resource management; Forestry; Economics; Computer science; Ecology; Mathematical economics; Geography; Biology; Macroeconomics","score_opus":0.12158295035730532,"score_gpt":0.2906560085121501,"score_spread":0.1690730581548448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553574005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99464107,0.0001267669,0.00087372283,0.00005192554,0.00012547369,0.00007017222,0.000025956546,0.000007999911,0.004076888],"genre_scores_gemma":[0.9967449,0.00039751577,0.0024776685,0.00017666885,0.000042851792,0.000003757334,0.0000063776715,0.0000068753648,0.00014342973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993751,0.000016422799,0.0002613381,0.00017473684,0.000010867838,0.00016150215],"domain_scores_gemma":[0.9995539,0.00012653878,0.00016548255,0.0001064194,0.000004383461,0.00004327495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004377922,0.00007948152,0.00025531367,0.000022919197,0.00008122849,0.000010718931,0.000046526107,0.00015597833,0.0007827974],"category_scores_gemma":[0.000034261157,0.00008187388,0.00012422391,0.00003792836,0.00013295196,0.00013200828,0.00004541954,0.00012994529,0.000029016446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020480347,0.00005275623,0.97710556,0.000006821748,0.00007856062,2.2532677e-7,0.0013550791,0.000030439716,0.0000035834669,0.02103398,0.00030497074,0.000025962436],"study_design_scores_gemma":[0.00018536467,0.000105408064,0.9909826,0.000004237925,0.00001061938,0.0000017324394,0.00024381389,0.0020588334,0.000013625445,0.0061945952,0.000115676674,0.00008351177],"about_ca_topic_score_codex":0.0001370908,"about_ca_topic_score_gemma":0.000015756576,"teacher_disagreement_score":0.014839384,"about_ca_system_score_codex":0.00007026662,"about_ca_system_score_gemma":0.000009585401,"threshold_uncertainty_score":0.8571083},"labels":[],"label_agreement":null},{"id":"W1555088292","doi":"10.5772/36696","title":"Households’ Preferences for Plumbing Materials","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"American Water Works Association Research Foundation; National Science Foundation","keywords":"Business","score_opus":0.18957042836565216,"score_gpt":0.22607131405878406,"score_spread":0.036500885693131896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555088292","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02605343,0.0015229043,0.002381096,0.000036800844,0.0013423078,0.00089149945,0.0012240731,0.00009695774,0.9664509],"genre_scores_gemma":[0.65250933,0.00014227758,0.00048380657,0.00013237113,0.0003996397,0.00012594504,0.00010318136,0.000090493995,0.34601295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99859995,0.0000030378926,0.00070241565,0.00040857782,0.000026025353,0.0002600059],"domain_scores_gemma":[0.99898225,0.00003993477,0.0005930483,0.00031374753,0.000008395508,0.00006263689],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00041806634,0.00026412177,0.00052593485,0.00010731379,0.00007536472,0.00006891508,0.00022505547,0.00037794493,0.0025208297],"category_scores_gemma":[0.000013750663,0.00032606677,0.00015715697,0.0000027808003,0.00008173795,0.00009242905,0.000086387256,0.0001378647,0.0018594054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003971106,0.000032829375,0.0020357214,0.00023474266,0.00036050196,0.0000011055563,0.0005789758,0.0000012919012,0.0030124607,0.97576576,0.0016785623,0.016258325],"study_design_scores_gemma":[0.00040309978,0.0001014298,0.0006549425,0.000117604126,0.00004010012,0.000003971624,0.000017031312,0.0000031524378,0.018061262,0.55538434,0.4245297,0.0006833911],"about_ca_topic_score_codex":0.00004043362,"about_ca_topic_score_gemma":0.00001265945,"teacher_disagreement_score":0.6264559,"about_ca_system_score_codex":0.00019989749,"about_ca_system_score_gemma":0.000011364138,"threshold_uncertainty_score":0.9999191},"labels":[],"label_agreement":null},{"id":"W1555711174","doi":"10.1111/j.1523-1739.2011.01673.x","title":"Incentive Structure of and Private Landowner Participation in an Endangered Species Conservation Program","year":2011,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Texas Parks and Wildlife Department; U.S. Fish and Wildlife Service; U.S. Department of Defense","keywords":"Incentive; Endangered species; Incentive program; Business; Wildlife; Land tenure; Public economics; Wildlife conservation; Geography; Habitat; Economics; Ecology; Microeconomics","score_opus":0.17487868027658215,"score_gpt":0.27040152670472084,"score_spread":0.09552284642813869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555711174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982241,0.000106107625,0.0006412904,0.00015577988,0.000071126524,0.00028451913,0.000066596665,0.000014120714,0.0004363665],"genre_scores_gemma":[0.9970796,0.000061214945,0.0023975726,0.00021257858,0.000013995731,0.000027426391,0.0001733075,0.0000058327296,0.000028444783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992287,0.00003661798,0.00041334121,0.0002050451,0.000009747446,0.000106559906],"domain_scores_gemma":[0.999528,0.000025220343,0.00029474826,0.00011093187,0.000016510336,0.000024601852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016763172,0.00007512805,0.00018664026,0.00010375048,0.000026085041,0.00000762367,0.000052981344,0.00009564261,0.0002823289],"category_scores_gemma":[0.00004914537,0.00008007357,0.00001547097,0.00007916633,0.00013207868,0.00023764906,0.000023218192,0.000047495465,0.000010104975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026258253,0.00006365836,0.9098019,0.000007670809,0.0000069750286,9.491095e-8,0.000900713,0.0000034189866,0.0026811918,0.08534224,0.000007786445,0.0011580708],"study_design_scores_gemma":[0.0004961401,0.00013804839,0.9641254,0.0000050033427,0.0000029389184,2.8836675e-7,0.00006699878,0.0022802008,0.002097229,0.030182106,0.000520853,0.00008476922],"about_ca_topic_score_codex":0.00035755703,"about_ca_topic_score_gemma":0.00048396803,"teacher_disagreement_score":0.055160135,"about_ca_system_score_codex":0.000040610674,"about_ca_system_score_gemma":0.0000064070646,"threshold_uncertainty_score":0.32653055},"labels":[],"label_agreement":null},{"id":"W1556086144","doi":"10.1016/j.jenvman.2007.07.006","title":"Recreation demand analysis under truncation, overdispersion, and endogenous stratification: An application to Gros Morne National Park","year":2007,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Recreation; Overdispersion; National park; Truncation (statistics); Stratification (seeds); Geography; Survey data collection; Poisson distribution; Statistics; Econometrics; Mathematics; Count data; Ecology; Archaeology; Biology","score_opus":0.05227786225228231,"score_gpt":0.22379933962941453,"score_spread":0.17152147737713222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556086144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79244876,0.00035442482,0.20219308,0.00029704592,0.00007268121,0.0003274003,0.000031303654,0.0000058921178,0.0042694174],"genre_scores_gemma":[0.9938415,0.00044015984,0.0049610273,0.00031060673,0.00009242558,0.000013315991,0.000089452195,0.000012475385,0.00023898113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861974,0.000017607157,0.0007903205,0.00029251503,0.00013733139,0.00014248236],"domain_scores_gemma":[0.9990624,0.000023449282,0.0005812633,0.00018122644,0.000010221157,0.0001414463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013311496,0.00012366149,0.00022169022,0.00041844154,0.00012508457,0.00004707666,0.00012675219,0.000051653915,0.00029195697],"category_scores_gemma":[0.000006442199,0.00014264428,0.00008519684,0.00018916655,0.000040653587,0.00043944694,0.000040451334,0.0000635788,0.00010223603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024773422,0.0016489581,0.708336,0.000043659395,0.002005113,0.000008406828,0.0020281603,0.08635317,0.009071432,0.15790711,0.0003664197,0.031983823],"study_design_scores_gemma":[0.00048388215,0.00012887704,0.9858541,0.0000034366387,0.00012533202,0.000011058317,0.00082552637,0.0013928382,0.00023705025,0.009150935,0.0016280831,0.00015886957],"about_ca_topic_score_codex":0.000013966544,"about_ca_topic_score_gemma":0.000013070937,"teacher_disagreement_score":0.2775181,"about_ca_system_score_codex":0.00056559587,"about_ca_system_score_gemma":0.000003685462,"threshold_uncertainty_score":0.58168644},"labels":[],"label_agreement":null},{"id":"W1556528569","doi":"10.1111/j.1744-7976.2006.00048.x","title":"Green Subsidies in Agriculture: Estimating the Adoption Costs of Conservation Tillage from Observed Behavior","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subsidy; Incentive; Profit (economics); Tillage; Economics; Agriculture; Stochastic game; Order (exchange); Microeconomics; Conservation agriculture; Natural resource economics; Risk aversion (psychology); Business; Agricultural economics; Expected utility hypothesis; Financial economics; Finance; Ecology; Market economy","score_opus":0.07007619670379317,"score_gpt":0.1650401652423709,"score_spread":0.09496396853857772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556528569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994063,0.001012944,0.0000328936,0.0020282995,0.0010260267,0.00035807473,0.00053907896,0.0000052438395,0.00093444827],"genre_scores_gemma":[0.99801654,0.00005679315,0.00064565067,0.00018337676,0.00053648086,0.00002574107,0.00023763007,0.000021989195,0.00027578342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972196,0.000039460225,0.0018785733,0.00036011322,0.000011269315,0.00049098424],"domain_scores_gemma":[0.9973483,0.00012926948,0.0018948199,0.00024705988,0.000071241455,0.00030932436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006307335,0.00028569237,0.0007119532,0.00027080672,0.00016470953,0.00010645704,0.00047709173,0.00018350588,0.000278858],"category_scores_gemma":[0.00006508994,0.00025087048,0.00025538754,0.0001536054,0.00015404701,0.00076252053,0.000025577177,0.00026388664,0.000058551814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002074491,0.000045527333,0.9224086,0.00002164859,0.00010354609,0.000016549175,0.0010515037,0.030416178,0.00022562817,0.043737777,0.0013100427,0.00064225815],"study_design_scores_gemma":[0.00076242484,0.000092591574,0.9888171,0.000060553317,0.000038466478,0.00005322549,0.0010169264,0.0010267438,0.00011416782,0.0065006935,0.0011794354,0.00033767903],"about_ca_topic_score_codex":0.42638177,"about_ca_topic_score_gemma":0.8827421,"teacher_disagreement_score":0.45636034,"about_ca_system_score_codex":0.0024974765,"about_ca_system_score_gemma":0.00014008311,"threshold_uncertainty_score":0.99999434},"labels":[],"label_agreement":null},{"id":"W1559063672","doi":"10.1017/s1068280500001866","title":"Willingness to Pay for Water Quality Improvements in the United States and Canada: Considering Possibilities for International Meta-Analysis and Benefit Transfer","year":2010,"lang":"en","type":"article","venue":"Agricultural and Resource Economics Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Agriculture and Agri-Food Canada","keywords":"Willingness to pay; Multinational corporation; Meta-analysis; Metadata; Quality (philosophy); Public economics; Preference; Conjoint analysis; Environmental resource management; Environmental economics; Economics; Business; Computer science; Microeconomics","score_opus":0.09799953257580275,"score_gpt":0.2449804171513081,"score_spread":0.14698088457550534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559063672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98801154,0.0027991731,0.000073835596,0.0078596445,0.00006454114,0.0006872184,0.00046866573,0.0000024248934,0.00003298035],"genre_scores_gemma":[0.9862288,0.008404596,0.00028164405,0.003742188,0.000046714886,0.00031275547,0.000512236,0.000008155819,0.0004628792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989715,0.000009774926,0.00055322394,0.0003047537,0.0000150246,0.00014568062],"domain_scores_gemma":[0.99959534,0.00014862805,0.000088140856,0.00009823669,0.000018510647,0.000051168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008455119,0.0001298249,0.0005172,0.000045764245,0.00009898164,0.00007572742,0.00009213744,0.000039495397,0.000048361413],"category_scores_gemma":[0.000027700762,0.00006779219,0.0001323177,0.00003564431,0.000030568783,0.000100130856,0.000032539287,0.00006816537,7.6504347e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020110262,0.0003308968,0.7267864,0.005122374,0.050668564,0.0000011384925,0.016673379,0.009359154,0.0006073163,0.16882159,0.0023905332,0.019037591],"study_design_scores_gemma":[0.001353816,0.00010543099,0.72930783,0.0000372733,0.0049739336,0.000007882363,0.0023585143,0.0019029747,0.00028069635,0.0131488005,0.24564387,0.00087900914],"about_ca_topic_score_codex":0.049405847,"about_ca_topic_score_gemma":0.17160699,"teacher_disagreement_score":0.24325334,"about_ca_system_score_codex":0.0000395711,"about_ca_system_score_gemma":0.0000034100176,"threshold_uncertainty_score":0.95692426},"labels":[],"label_agreement":null},{"id":"W1559851728","doi":"10.15353/rea.v6i2.1415","title":"Examining the Tradeoff Between Fixed Pay and Performance-Related Pay: A Choice Experiment Approach","year":2015,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Earnings; Payment; Performance-related pay; Pay for performance; Willingness to pay; Economics; Productivity; Fixed cost; Econometrics; Fixed effects model; Microeconomics; Panel data; Finance; Incentive","score_opus":0.18515271656766638,"score_gpt":0.2614321527469698,"score_spread":0.07627943617930341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559851728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9371816,0.05119099,0.0005144162,0.0004671484,0.00008132005,0.0003609972,0.00004906749,0.000013791428,0.010140652],"genre_scores_gemma":[0.9769592,0.02190298,0.00036724083,0.00013072709,0.00006613557,0.000053161813,0.00009937254,0.000016566448,0.00040460765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981409,0.00005326879,0.001154749,0.00042585214,0.00003240784,0.00019283655],"domain_scores_gemma":[0.99860907,0.00008487513,0.00074467104,0.0004468364,0.0000070999017,0.000107470456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001862104,0.00018334729,0.0009865196,0.00015796417,0.00007361058,0.000026387132,0.00023253709,0.000060592934,0.00042986954],"category_scores_gemma":[0.000040923253,0.00012956493,0.00023773516,0.00020357865,0.00010927678,0.00024055518,0.000080728714,0.0001245927,0.00021469768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002066433,0.000027344473,0.9908353,0.00024135268,0.0010537124,7.203082e-8,0.0003614159,0.0010136624,8.817403e-7,0.0013868007,0.00029282444,0.0047845542],"study_design_scores_gemma":[0.0009172254,0.00012711092,0.9399606,0.00020695095,0.0012048105,0.0000035547455,0.0004602242,0.042341936,0.00003910029,0.00057036686,0.013651786,0.0005163416],"about_ca_topic_score_codex":0.00025111705,"about_ca_topic_score_gemma":0.0000041820945,"teacher_disagreement_score":0.05087472,"about_ca_system_score_codex":0.00023376064,"about_ca_system_score_gemma":0.000022322245,"threshold_uncertainty_score":0.5283504},"labels":[],"label_agreement":null},{"id":"W1563835170","doi":"10.1023/a:1007652201187","title":"Win, Place or Show: Gauging the Economic Success of the Renoir and Barnes Art Exhibits","year":2000,"lang":"en","type":"article","venue":"Journal of Cultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Visitor pattern; Enthusiasm; Tourism; The arts; Skepticism; Product (mathematics); Marketing; Cultural economics; Economics; Business; Political science; Law; Computer science; Psychology; Social psychology","score_opus":0.050618106916638456,"score_gpt":0.21505025815659837,"score_spread":0.1644321512399599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563835170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872038,0.00094840204,0.000008567944,0.002158529,0.0004328061,0.0001398429,0.000045765988,0.0000035755115,0.009058737],"genre_scores_gemma":[0.9909963,0.0038596736,0.00013215846,0.00035419545,0.00025044466,0.0000029965597,0.000002796709,0.000017475642,0.0043839365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998469,0.000028918348,0.0010932528,0.00019801012,0.000022913964,0.00018793278],"domain_scores_gemma":[0.99849933,0.00009561988,0.0010835434,0.0002386019,0.000013292352,0.000069579415],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007092932,0.00016690086,0.00044486087,0.000054017306,0.00015941523,0.00010326708,0.00040270193,0.000082607614,0.002161122],"category_scores_gemma":[0.00003313528,0.00010428892,0.00019813071,0.000041698757,0.00019400798,0.0007580895,0.00006376851,0.00019997817,0.00016264571],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011051731,0.00026843013,0.5372379,0.00016167045,0.001236539,0.0000068618215,0.01137324,0.3158009,0.00026234367,0.060791537,0.033274606,0.038480803],"study_design_scores_gemma":[0.004572906,0.0005121388,0.63321126,0.00016953977,0.0001485021,0.00068144937,0.0030979484,0.022030951,0.0016922578,0.014693328,0.31812134,0.0010683746],"about_ca_topic_score_codex":0.00005876094,"about_ca_topic_score_gemma":0.00010985462,"teacher_disagreement_score":0.29376996,"about_ca_system_score_codex":0.00029430122,"about_ca_system_score_gemma":0.000041448115,"threshold_uncertainty_score":0.99875104},"labels":[],"label_agreement":null},{"id":"W1564795888","doi":"","title":"Estimating the value of medal success at the 2010 winter olympic games.","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medal; Contingent valuation; Subsidy; Willingness to pay; Valuation (finance); Value (mathematics); Championship; Economics; Commission; Government (linguistics); Agricultural economics; Marketing; Advertising; Business; Geography; Statistics; Microeconomics; Finance; Mathematics","score_opus":0.09972926783747384,"score_gpt":0.2894076121229012,"score_spread":0.1896783442854274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564795888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8954103,0.0009280384,0.000040032508,0.0007746715,0.0013390052,0.00081219786,0.0001703142,0.000013900304,0.10051154],"genre_scores_gemma":[0.98986447,0.0026387002,0.0004941304,0.00015104853,0.00025924467,0.00027701713,0.00006523993,0.00007674528,0.0061734198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996599,0.00017867268,0.0014833423,0.0009773653,0.00009335529,0.0006682373],"domain_scores_gemma":[0.9967453,0.00052226946,0.0009510818,0.0016534587,0.00002632161,0.000101608],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0047519067,0.0003418492,0.0007345234,0.00028895453,0.00027761012,0.00010912113,0.0014905358,0.00039730628,0.0016400351],"category_scores_gemma":[0.0003135143,0.00028628,0.00032801178,0.00008975864,0.000917929,0.00016413459,0.002212081,0.0012905302,0.00029009103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001428796,0.00033905322,0.78574,0.00034015195,0.00056943734,0.000006912655,0.0048203887,0.13363887,0.000050367384,0.019235523,0.0008804868,0.05423592],"study_design_scores_gemma":[0.0014789132,0.00016944032,0.7680763,0.00029324964,0.000037514576,0.00002153846,0.0008890649,0.1494833,0.0006386049,0.068130575,0.009641859,0.001139665],"about_ca_topic_score_codex":0.0009726794,"about_ca_topic_score_gemma":0.00047611492,"teacher_disagreement_score":0.09445416,"about_ca_system_score_codex":0.0012807163,"about_ca_system_score_gemma":0.00011732376,"threshold_uncertainty_score":0.99995893},"labels":[],"label_agreement":null},{"id":"W1564817224","doi":"","title":"Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Opportunity cost; Recreation; Valuation (finance); Economics; Visitor pattern; Economic surplus; Earnings; Econometrics; Overdispersion; Microeconomics; Count data; Poisson distribution; Statistics; Mathematics; Computer science; Welfare; Finance","score_opus":0.11907521819404203,"score_gpt":0.28678098135930136,"score_spread":0.16770576316525931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564817224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9354595,0.000566407,0.00006590593,0.00031458223,0.00006740632,0.0011169969,0.00017138702,0.0000064428436,0.062231373],"genre_scores_gemma":[0.95731306,0.040731788,0.00016690548,0.000026591433,0.000039188344,0.00022584554,0.00027775427,0.000027020305,0.0011918511],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99716806,0.00033753386,0.00133507,0.00074694864,0.00007082419,0.00034154896],"domain_scores_gemma":[0.99801874,0.00048046882,0.00072110625,0.00065021036,0.000027972508,0.000101518955],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0068014367,0.00022806869,0.0010268226,0.001083714,0.00010363003,0.00005617816,0.00033673545,0.000388764,0.0002351722],"category_scores_gemma":[0.0004283478,0.00024631157,0.0001959617,0.00025621083,0.00053149555,0.0001711791,0.00033991682,0.00075851206,0.000018470359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002948599,0.00041839338,0.8373915,0.00019403733,0.00079979905,0.0000085058045,0.004591044,0.09117003,0.000019688025,0.0074579353,0.000046852238,0.057607368],"study_design_scores_gemma":[0.0015702681,0.000038078295,0.81610525,0.000051093237,0.00003266453,0.0000021700412,0.00052977836,0.17576602,0.000022161657,0.005304725,0.00032609876,0.00025170355],"about_ca_topic_score_codex":0.0006215001,"about_ca_topic_score_gemma":0.0006067988,"teacher_disagreement_score":0.084595986,"about_ca_system_score_codex":0.0008392774,"about_ca_system_score_gemma":0.00010690682,"threshold_uncertainty_score":0.9999989},"labels":[],"label_agreement":null},{"id":"W1568936006","doi":"10.1111/j.2041-210x.2012.00211.x","title":"Hierarchical analysis of spatially autocorrelated ecological data using integrated nested Laplace approximation","year":2012,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Resources Canada; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Université Laval","keywords":"Markov chain Monte Carlo; Spatial analysis; Computer science; Bayesian probability; Laplace's method; Autocorrelation; Prior probability; Bayesian inference; Ecology; Statistics; Mathematics; Artificial intelligence; Biology","score_opus":0.19700009927149,"score_gpt":0.3452555389873669,"score_spread":0.14825543971587687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568936006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71955246,0.00024461272,0.27948457,0.000042479212,0.00019426848,0.00015411984,0.000037643164,0.000009972643,0.00027991703],"genre_scores_gemma":[0.8570522,0.000038026432,0.14259744,0.000029053785,0.000018230174,0.000011889097,0.00022148532,0.000005653707,0.000026023421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848473,0.00032848906,0.0006476036,0.0003017549,0.000017355234,0.00022005755],"domain_scores_gemma":[0.99909616,0.0002619689,0.0003397889,0.0002463146,0.0000085157135,0.00004728174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035927799,0.000100642,0.00045682825,0.00046064466,0.00006234711,0.0000068501213,0.00012881705,0.0002708367,0.00027432555],"category_scores_gemma":[0.0004646157,0.00011040113,0.000044308952,0.00048624142,0.0001276749,0.00036459437,0.00012715536,0.00017877069,0.000014644687],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022624406,0.00016662471,0.9750488,0.000006762065,0.00012523758,1.4425788e-7,0.00018397107,0.008802177,0.00019404574,0.014333615,0.000004893398,0.0011111018],"study_design_scores_gemma":[0.00019132267,0.000023273587,0.5544211,0.0000016489142,0.000064908505,0.0000013365985,0.00003155601,0.44252485,0.000010794921,0.002628569,0.00003923263,0.00006138167],"about_ca_topic_score_codex":0.0002567264,"about_ca_topic_score_gemma":0.00015803393,"teacher_disagreement_score":0.43372267,"about_ca_system_score_codex":0.000268282,"about_ca_system_score_gemma":0.000015335048,"threshold_uncertainty_score":0.45020276},"labels":[],"label_agreement":null},{"id":"W1569818740","doi":"","title":"Canadian Regulatory Cost-Benefit Analysis Guide","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cost–benefit analysis; Business; Process (computing); Economic analysis; Regulatory reform; Cost analysis; Public economics; Policy analysis; Risk analysis (engineering); Economics; Operations research; Public administration; Engineering; Political science; Computer science; Agricultural economics","score_opus":0.08889618381489595,"score_gpt":0.2935695850042546,"score_spread":0.20467340118935867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569818740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.561212,0.00080082775,0.000046364392,0.00040269791,0.0006141545,0.0009075852,0.00065991684,0.000032152275,0.43532434],"genre_scores_gemma":[0.97083795,0.0077533415,0.00085410965,0.00038534577,0.00028000306,0.00026158124,0.0006821733,0.00011269999,0.018832775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948911,0.0000636599,0.0018738674,0.0016851266,0.00010369588,0.001382553],"domain_scores_gemma":[0.996746,0.0002069797,0.0005786876,0.0017809588,0.000044916793,0.0006424362],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00554702,0.00045281835,0.0011819307,0.0037602466,0.000245858,0.00021716967,0.0009877394,0.0009255727,0.0021522678],"category_scores_gemma":[0.00019339552,0.00065527955,0.0005457442,0.0004375382,0.00026153907,0.0001984513,0.0006798241,0.0014798144,0.0006315244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024539926,0.00011696977,0.8095171,0.00006289513,0.0010236359,0.000030057568,0.00035760738,0.119267136,0.0000026704806,0.018539263,0.000442912,0.05061521],"study_design_scores_gemma":[0.0006387092,0.000042895095,0.7823321,0.00004801337,0.000056077773,0.0000036485262,0.0003123548,0.031480405,0.000024859548,0.01776791,0.16622566,0.0010673631],"about_ca_topic_score_codex":0.081456386,"about_ca_topic_score_gemma":0.26273537,"teacher_disagreement_score":0.41649154,"about_ca_system_score_codex":0.011072841,"about_ca_system_score_gemma":0.00044153235,"threshold_uncertainty_score":0.99958986},"labels":[],"label_agreement":null},{"id":"W1573012848","doi":"10.1017/s1068280500001799","title":"A Pseudo-Sequential Choice Model for Valuing Multi-Attribute Environmental Policies or Programs in Contingent Valuation Applications","year":2010,"lang":"en","type":"article","venue":"Agricultural and Resource Economics Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Southern Research Station; Cooperative State Research, Education, and Extension Service; U.S. Forest Service; U.S. Department of Agriculture","keywords":"Transitive relation; Valuation (finance); Respondent; Contingent valuation; Econometrics; Economics; Axiom; Reflexivity; Willingness to pay; Microeconomics; Mathematics; Sociology","score_opus":0.1704723880183702,"score_gpt":0.2597597214091175,"score_spread":0.08928733339074732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573012848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98627025,0.007687951,0.0020452733,0.0011634327,0.000096998854,0.002359191,0.00018268535,0.000025384756,0.00016882387],"genre_scores_gemma":[0.9680943,0.022779593,0.00410053,0.00070380775,0.00022830568,0.001490459,0.0008402317,0.00003114035,0.0017316608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983352,0.000015626476,0.00082714297,0.00049961405,0.000024203731,0.0002982481],"domain_scores_gemma":[0.9991943,0.00005617385,0.0004465953,0.00019239222,0.000007485431,0.00010303427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067504914,0.00022133664,0.00046635166,0.00006147486,0.00017542852,0.00007860224,0.00017404885,0.00013309419,0.00006757635],"category_scores_gemma":[0.00003971929,0.00018296255,0.0001485185,0.00006573227,0.00008191151,0.00025939965,0.000084832915,0.00018386132,0.00006507684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063083375,0.0017655184,0.78027046,0.002695554,0.00045684422,8.7351486e-7,0.0036610386,0.01368366,0.003422079,0.061535195,0.0012984962,0.13114719],"study_design_scores_gemma":[0.0040522343,0.00017334071,0.7035913,0.0004314984,0.00016409706,0.000052615236,0.00061964226,0.15313067,0.000101032216,0.0026330685,0.13345987,0.0015906588],"about_ca_topic_score_codex":0.000080450154,"about_ca_topic_score_gemma":0.00034911855,"teacher_disagreement_score":0.139447,"about_ca_system_score_codex":0.00015871617,"about_ca_system_score_gemma":0.000010752935,"threshold_uncertainty_score":0.74609965},"labels":[],"label_agreement":null},{"id":"W1576064173","doi":"","title":"Generation and quality assessment of route choice sets in public transport networks by means of RP data analysis","year":2010,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Public transport; Choice set; Global Positioning System; Computer science; Set (abstract data type); Quality (philosophy); Transport engineering; Operations research; Data collection; Engineering; Telecommunications; Econometrics; Economics","score_opus":0.10493988613563218,"score_gpt":0.24540416882528654,"score_spread":0.14046428268965436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576064173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696263,0.00010692346,0.019786403,0.000112089634,0.00010713229,0.0001297469,0.0009996493,0.00000562394,0.009126114],"genre_scores_gemma":[0.9982116,0.0000787921,0.00041933788,0.0000110223,0.00002549945,4.6187492e-7,0.0010648634,0.0000042200536,0.00018416438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889773,0.000029935149,0.0005435457,0.0003262243,0.00008827559,0.00011428643],"domain_scores_gemma":[0.9989386,0.00007938061,0.00049317564,0.00040330255,0.000032883818,0.000052632182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049452926,0.00010834953,0.00037078775,0.00014739641,0.00011745677,0.000019525538,0.00029060134,0.00010824184,0.00004266351],"category_scores_gemma":[0.000031652176,0.000114557704,0.00010016773,0.00018099684,0.00039056706,0.00069567095,0.00008124481,0.00015102037,0.0000014962055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012831253,0.00011796645,0.97597027,0.000014691553,0.00020213613,0.0000010006809,0.000093720024,0.004998515,0.00014786859,0.018120643,0.00006447352,0.00025586854],"study_design_scores_gemma":[0.0005214134,0.000025813044,0.9594412,0.000006894663,0.000054179432,0.0000018607809,0.000059950937,0.037783824,0.000026516407,0.00019826862,0.0017656905,0.00011442301],"about_ca_topic_score_codex":0.002885298,"about_ca_topic_score_gemma":0.002240457,"teacher_disagreement_score":0.032785308,"about_ca_system_score_codex":0.00007362836,"about_ca_system_score_gemma":0.000059507205,"threshold_uncertainty_score":0.46715277},"labels":[],"label_agreement":null},{"id":"W1579500788","doi":"10.1023/a:1008328920083","title":"Complements, Substitutes, Budget Constraints and Valuation","year":2000,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Alberta","funders":"","keywords":"Contingent valuation; Recreation; Contrast (vision); Substitution (logic); Economics; Valuation (finance); Value (mathematics); Econometrics; Microeconomics; Computer science; Statistics; Mathematics; Willingness to pay; Ecology; Artificial intelligence; Biology","score_opus":0.04361292057209076,"score_gpt":0.17828198798755623,"score_spread":0.13466906741546547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579500788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795591,0.0014098281,0.00007551741,0.00030592966,0.000059326212,0.00021609249,0.0002427549,0.00001771423,0.018113738],"genre_scores_gemma":[0.9934319,0.003117805,0.0004610201,0.00052555563,0.00007158479,0.000016592343,0.00019184985,0.000023006172,0.0021606374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987839,0.000016048458,0.00047283605,0.00047447812,0.000021677977,0.00023105377],"domain_scores_gemma":[0.99952054,0.000025405672,0.00014741007,0.00017782545,4.6925112e-7,0.00012832007],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003446334,0.00018260302,0.0002618678,0.00006011719,0.00020279674,0.00006125651,0.00008553731,0.00009536911,0.006572821],"category_scores_gemma":[0.0000029049513,0.00022487539,0.000046055236,0.000014740972,0.00039355757,0.00023796874,0.0000631094,0.00010532741,0.0011542968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046064055,0.00021385831,0.83029574,0.000021574444,0.00014381242,0.000002680619,0.0012071619,0.0010430646,0.00013974478,0.04637941,0.0005832379,0.119923666],"study_design_scores_gemma":[0.001611985,0.00009377576,0.7671801,0.0000067664705,0.000016818398,0.00003800021,0.00040680333,0.004197641,0.00007489013,0.0138236275,0.2120706,0.00047898522],"about_ca_topic_score_codex":0.000037039114,"about_ca_topic_score_gemma":0.0000054925054,"teacher_disagreement_score":0.21148737,"about_ca_system_score_codex":0.00013148782,"about_ca_system_score_gemma":0.0000030947922,"threshold_uncertainty_score":0.9996234},"labels":[],"label_agreement":null},{"id":"W1580138326","doi":"10.1111/j.1759-3441.2012.00177.x","title":"The Dynamics of Environmental Giving in Canada: Evidence of Rising Demand for Environmental Quality?","year":2012,"lang":"en","type":"article","venue":"Economic Papers A journal of applied economics and policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Environmental quality; Quality (philosophy); Probit model; Ordered probit; Probit; Public economics; Selection (genetic algorithm); Economics; Multivariate probit model; Estimation; Demographic economics; Econometrics; Political science","score_opus":0.03642777643215233,"score_gpt":0.22649906037077616,"score_spread":0.19007128393862383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580138326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334204,0.0033850912,0.000049809893,0.00043707996,0.00022216051,0.00021151415,0.0003175649,7.3139887e-7,0.0020339787],"genre_scores_gemma":[0.98941064,0.009981561,0.00024000899,0.00011634742,0.00015813806,0.000009004506,0.000005487319,0.000022797063,0.000056005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997753,0.000017045924,0.001686577,0.00018900016,0.00002400398,0.00033033272],"domain_scores_gemma":[0.9973778,0.00041870543,0.0018827361,0.00019504529,0.0000015076128,0.00012417216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016199235,0.0001750425,0.00061673,0.00015300064,0.00009129797,0.000019571084,0.00023287183,0.00007150788,0.000066664754],"category_scores_gemma":[0.000026453894,0.00018483428,0.00013704786,0.000021141726,0.00016106661,0.0003120314,0.00007826897,0.000118633805,0.0000050675967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003293058,0.000107714164,0.7417451,0.000077320794,0.00027578088,1.5628707e-7,0.0013330857,0.014073019,0.0005834684,0.21192648,0.000048474965,0.029500116],"study_design_scores_gemma":[0.0017050907,0.000121552,0.97872156,0.000035816767,0.000025516396,0.00001489272,0.0028918746,0.00473193,0.0006218114,0.0064227656,0.0043370263,0.00037016673],"about_ca_topic_score_codex":0.0126437405,"about_ca_topic_score_gemma":0.024318388,"teacher_disagreement_score":0.23697647,"about_ca_system_score_codex":0.0023198128,"about_ca_system_score_gemma":0.00015991266,"threshold_uncertainty_score":0.9939312},"labels":[],"label_agreement":null},{"id":"W1584955183","doi":"","title":"discrete choice experiment investigating preferences for funding drugs used to treat orphan diseases","year":2010,"lang":"en","type":"preprint","venue":"MacSphere (McMaster University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; McMaster University","keywords":"Orphan drug; Rare disease; Public economics; Government (linguistics); Disease; Medicine; Actuarial science; Business; Family medicine; Economics; Bioinformatics; Pathology","score_opus":0.11306755332830105,"score_gpt":0.23969956472608808,"score_spread":0.12663201139778701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584955183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89225435,0.0002683013,0.0059703677,0.0003293515,0.0007518376,0.0011909755,0.00094635587,0.000088194116,0.098200284],"genre_scores_gemma":[0.9084219,0.000030250107,0.0037993744,0.00013739543,0.0002628432,0.00004716855,0.00025918204,0.000058652084,0.08698323],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812615,0.000029380666,0.00043683423,0.0009558118,0.000053931497,0.0003978929],"domain_scores_gemma":[0.9986816,0.00010451713,0.00047577423,0.0004256998,0.000013259606,0.00029914494],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016026298,0.00037290063,0.00054976065,0.00022394747,0.00022599005,0.00018584868,0.0005438517,0.00027156048,0.018821074],"category_scores_gemma":[0.000043949236,0.00047653375,0.0002318972,0.000119572585,0.000090677255,0.00031820804,0.00069756253,0.00028007096,0.00023036744],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013250278,0.00026756994,0.8915899,0.00070651434,0.0004025621,0.000005121342,0.009467507,0.008258816,0.0008081361,0.026612159,0.0013681347,0.06038107],"study_design_scores_gemma":[0.008730665,0.0008398663,0.22658296,0.0009361063,0.0006178623,0.0000020643529,0.01334948,0.014715342,0.0057811523,0.03999101,0.6823957,0.0060578072],"about_ca_topic_score_codex":0.0006517149,"about_ca_topic_score_gemma":0.00025290446,"teacher_disagreement_score":0.68102753,"about_ca_system_score_codex":0.0005429404,"about_ca_system_score_gemma":0.000038301543,"threshold_uncertainty_score":0.9997686},"labels":[],"label_agreement":null},{"id":"W1585956020","doi":"10.1300/j047v19n04_04","title":"Predicting Consumers' Acceptability of Pesticide-Free Fresh Produce in Canada's Maritime Provinces","year":2007,"lang":"en","type":"article","venue":"Journal of International Food & Agribusiness Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Allison University; Memorial University of Newfoundland","funders":"","keywords":"Willingness to pay; Purchasing; Business; Price premium; Bachelor; Agriculture; Agricultural economics; Socioeconomic status; Pesticide; Agricultural science; Economics; Marketing; Geography; Environmental health; Population","score_opus":0.024600837567291135,"score_gpt":0.2047391640700454,"score_spread":0.18013832650275424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585956020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915272,0.0005402577,0.0005752629,0.0006445115,0.0009189841,0.00012210714,0.00007842888,0.0000030524589,0.005590213],"genre_scores_gemma":[0.9984921,0.00006498135,0.0011824415,0.0000420558,0.00017243001,0.0000019969057,0.000008818742,0.000011151044,0.00002401338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786365,0.000034402212,0.001555147,0.0002012308,0.00014714643,0.00019841897],"domain_scores_gemma":[0.9976472,0.0004280711,0.00158636,0.00014305532,0.00014073482,0.000054574473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004318385,0.00011721035,0.00034224847,0.00022688617,0.00003542173,0.000025786328,0.00042030617,0.00004747576,0.000696046],"category_scores_gemma":[0.0029476834,0.00012728556,0.000074948686,0.00013614964,0.000047638365,0.00041028496,0.0001199542,0.00016532496,0.0000021609756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001365667,0.0000730041,0.9951499,0.00004504212,0.00006423347,0.0000054394827,0.0000585917,0.0006991199,0.00004468678,0.00041590986,0.00008554585,0.0032219386],"study_design_scores_gemma":[0.0006416162,0.000037102876,0.99636495,0.00007784491,0.000006947912,0.00002317752,0.0004596482,0.0008618285,0.0003335395,0.0007161193,0.00036387742,0.00011336844],"about_ca_topic_score_codex":0.0793866,"about_ca_topic_score_gemma":0.3067237,"teacher_disagreement_score":0.2273371,"about_ca_system_score_codex":0.0010748743,"about_ca_system_score_gemma":0.00021857036,"threshold_uncertainty_score":0.92674387},"labels":[],"label_agreement":null},{"id":"W1586699175","doi":"10.1111/j.1369-7625.2009.00551.x","title":"Eliciting individual preferences for health care: a case study of perinatal care","year":2009,"lang":"en","type":"article","venue":"Health Expectations","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Population Health Research Institute; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Health care; Psychology; Nursing; Medicine; Political science","score_opus":0.17269133905600487,"score_gpt":0.33920861094384236,"score_spread":0.1665172718878375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586699175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989507,0.0076637785,0.00040175,0.00050908636,0.00010024557,0.0009743937,0.000413912,0.000020651416,0.00040916962],"genre_scores_gemma":[0.99708945,0.000039205974,0.002196626,0.00033526993,0.00004964182,0.00014475636,0.00012695718,0.00000981443,0.00000825896],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9987908,0.000024249459,0.0006709096,0.00027045002,0.00003156583,0.00021199761],"domain_scores_gemma":[0.9992335,0.000044550037,0.00047096369,0.00015018623,0.000019295267,0.00008149331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111450194,0.00009385279,0.0002852871,0.00013806329,0.00038266697,0.00002070848,0.000077704855,0.000030379262,0.00002834284],"category_scores_gemma":[0.0000247921,0.00011791602,0.000049422673,0.00008993391,0.000017015038,0.00012887352,0.000013660928,0.000061974606,0.000011880614],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014159598,0.00041766794,0.06354529,0.00021868598,0.00004282339,0.0000035879655,0.8859128,0.00050061033,6.535657e-7,0.0071084592,0.00029284152,0.041942455],"study_design_scores_gemma":[0.0014320972,0.0026290207,0.123951614,0.000016930848,0.000005831947,0.000022445769,0.8701869,0.00023411078,0.000005872818,0.0010522077,0.00028968762,0.00017323147],"about_ca_topic_score_codex":0.0012651014,"about_ca_topic_score_gemma":0.00068063283,"teacher_disagreement_score":0.060406324,"about_ca_system_score_codex":0.0002620038,"about_ca_system_score_gemma":0.000075837255,"threshold_uncertainty_score":0.48084754},"labels":[],"label_agreement":null},{"id":"W1589963182","doi":"10.1111/j.1442-8903.2010.00538.x","title":"Ecotourism and Environmental Sustainability: Principles and Practice","year":2010,"lang":"en","type":"article","venue":"Ecological Management & Restoration","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ecotourism; Citation; Sustainability; Library science; Gold coast; Tourism; Sociology; Geography; Political science; Computer science; Archaeology; Ecology; Biology","score_opus":0.04959932477547339,"score_gpt":0.22618103521641353,"score_spread":0.17658171044094015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589963182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802755,0.00018457272,0.0007533633,0.0023600098,0.00015532112,0.0004643748,0.0000092032815,0.000024758852,0.015772909],"genre_scores_gemma":[0.99566674,0.00035604637,0.0024980374,0.00033962232,0.000054090902,0.00006793845,0.000030961408,0.000007869022,0.0009786896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99913573,0.000028686945,0.00029619364,0.00036520057,0.000028412394,0.00014579398],"domain_scores_gemma":[0.9995149,0.0000777716,0.00017987611,0.0001623667,0.0000033478382,0.00006177705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008175038,0.000102144106,0.00013438074,0.00006666708,0.00014458837,0.000079260964,0.000060973714,0.00009274328,0.00042322857],"category_scores_gemma":[0.00012842145,0.0001115637,0.000020621483,0.000025528236,0.00012397613,0.00046414728,0.00013978688,0.00012715977,0.0001430755],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036325193,0.00035591383,0.44814688,0.000041382173,0.00004713829,0.00001189014,0.00028399934,0.000109370565,0.00018016758,0.54016906,0.00043817103,0.010179711],"study_design_scores_gemma":[0.00033065578,0.000100995436,0.9107749,8.183413e-7,0.0000108424565,0.000005535022,0.0004739906,0.0017034527,0.000006210244,0.02844684,0.05800709,0.00013868285],"about_ca_topic_score_codex":0.000014341157,"about_ca_topic_score_gemma":0.000015857355,"teacher_disagreement_score":0.5117222,"about_ca_system_score_codex":0.00013169792,"about_ca_system_score_gemma":0.0000021430533,"threshold_uncertainty_score":0.4634056},"labels":[],"label_agreement":null},{"id":"W1590210216","doi":"10.2165/11539650-000000000-00000","title":"Conjoint Analysis Applications in Health – How are Studies being Designed and Reported?","year":2010,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":360,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Calgary","funders":"","keywords":"Conjoint analysis; Respondent; Descriptive statistics; Sample size determination; Data extraction; Popularity; Computer science; Sample (material); Inclusion (mineral); Psychology; Applied psychology; MEDLINE; Statistics; Preference; Mathematics; Social psychology","score_opus":0.11512968458168878,"score_gpt":0.2535190435303806,"score_spread":0.1383893589486918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590210216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955025,0.00092581956,0.0019225152,0.0008730922,0.000063813175,0.00024356291,0.000018015553,0.000009172897,0.00044153907],"genre_scores_gemma":[0.9982549,0.00031917027,0.0010835049,0.0001389242,0.000011641316,0.000089984766,0.000021805457,0.0000058228934,0.00007423944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921495,0.000009198224,0.00039248847,0.00025492453,0.000015519163,0.000112898284],"domain_scores_gemma":[0.9993172,0.000031405285,0.0004250107,0.0001750686,0.0000063440634,0.000044929617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003583177,0.00006923347,0.00026615555,0.00017105334,0.00007825243,0.00001934248,0.00003238563,0.000029524419,0.000037955655],"category_scores_gemma":[0.00004735021,0.00007749782,0.00004041781,0.00014317037,0.000039628034,0.00007775309,0.00003135712,0.00006887872,0.000016702092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.340443e-7,0.000036725065,0.9891636,0.000012082802,0.00008867778,2.8695138e-7,0.0009981714,0.00016466242,0.0000150431015,0.008329129,0.000028999084,0.0011618146],"study_design_scores_gemma":[0.00016476086,0.00003549551,0.98878497,0.0000047043295,0.000014778905,6.0608807e-7,0.0012060927,0.0014193951,0.000055247023,0.006077609,0.0021228862,0.00011346539],"about_ca_topic_score_codex":0.00013787726,"about_ca_topic_score_gemma":0.0004202298,"teacher_disagreement_score":0.0027524375,"about_ca_system_score_codex":0.0000976355,"about_ca_system_score_gemma":0.000004385422,"threshold_uncertainty_score":0.31602693},"labels":[],"label_agreement":null},{"id":"W1590481085","doi":"","title":"Willingness to Pay for Improvements in Air Quality","year":2001,"lang":"en","type":"article","venue":"Cahiers de recherche","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Air quality index; Work (physics); Consumption (sociology); Health care; Environmental health; Quality (philosophy); Health benefits; Public health; Ozone; Public economics; Medical care; Business; Economics; Medicine; Geography; Economic growth; Engineering; Meteorology","score_opus":0.4284256228837439,"score_gpt":0.3629601499383556,"score_spread":0.06546547294538829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590481085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9214121,0.00011483469,0.06894387,0.0009747289,0.00015870044,0.00036979676,0.00003158165,0.000015191952,0.007979164],"genre_scores_gemma":[0.98076123,0.00018148776,0.010662626,0.0019065695,0.00006269159,0.00017233336,0.000019644322,0.000021135063,0.006212289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989897,0.000062605206,0.0003909209,0.00028713507,0.0000141446335,0.00025552112],"domain_scores_gemma":[0.99944794,0.00017519083,0.000107550615,0.00018204191,0.0000057181983,0.000081552076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004067642,0.00009015066,0.00020405692,0.00007468565,0.00004117338,0.000010186147,0.00013094752,0.00027830555,0.000098296274],"category_scores_gemma":[0.00046999168,0.00010056256,0.00006462668,0.00013577421,0.000024479705,0.00011066215,0.000017150649,0.00024177118,0.00021813449],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005816683,0.000113134454,0.93817747,0.000031917865,0.000026069743,8.483064e-7,0.0019422281,0.0008605702,0.00043879583,0.030583829,0.00028825976,0.027478721],"study_design_scores_gemma":[0.0012983296,0.00009609729,0.79794383,0.000012189646,0.0000039766833,0.0000010867784,0.00050728593,0.0017768927,0.000839778,0.15289928,0.044266313,0.00035491155],"about_ca_topic_score_codex":0.0001805252,"about_ca_topic_score_gemma":0.000048407583,"teacher_disagreement_score":0.1402336,"about_ca_system_score_codex":0.0017566545,"about_ca_system_score_gemma":0.000017923117,"threshold_uncertainty_score":0.45935902},"labels":[],"label_agreement":null},{"id":"W1590736799","doi":"10.7939/r35h7bv4h","title":"Genetically Modified Foods: Consumers' Attitudes and Labeling Issues","year":2004,"lang":"en","type":"article","venue":"Project Report Series","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Marketing; Focus group; Preference; Business; Food products; Genetically modified organism; Biotechnology; Economics; Food science; Biology","score_opus":0.10723195078803421,"score_gpt":0.2714077572908621,"score_spread":0.16417580650282787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590736799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841725,0.0041294876,0.0010769903,0.0006568402,0.00015541574,0.00025196018,0.00001624213,0.000050440478,0.009490071],"genre_scores_gemma":[0.98708767,0.0015989023,0.009941175,0.00008459517,0.00004367712,0.000041893476,0.000024296638,0.000017920169,0.0011599003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895644,0.0000051905295,0.00048070887,0.0003578808,0.000026578777,0.00017319719],"domain_scores_gemma":[0.9995426,0.000009585018,0.00020082171,0.00019902889,0.000009156379,0.000038839447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032917914,0.000121158606,0.0002421182,0.00007366747,0.000110551155,0.000069211834,0.00006102107,0.00006709119,0.00007273844],"category_scores_gemma":[0.00006992138,0.00013806313,0.000039243765,0.000051268198,0.00013065294,0.00026622604,0.000061733095,0.00006458093,0.000085853135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022059456,0.0000917473,0.8815487,0.00008631101,0.00011593515,0.000045697856,0.001212699,0.00038096824,0.00031800338,0.11519752,0.00006636607,0.00091400446],"study_design_scores_gemma":[0.0018292901,0.00042918892,0.8001177,0.00007277124,0.000039481103,0.00074570655,0.00079318427,0.00028832565,0.005067793,0.15691467,0.032559358,0.0011425527],"about_ca_topic_score_codex":0.00076486694,"about_ca_topic_score_gemma":0.00007372827,"teacher_disagreement_score":0.08143101,"about_ca_system_score_codex":0.00007056742,"about_ca_system_score_gemma":0.000025160061,"threshold_uncertainty_score":0.5630051},"labels":[],"label_agreement":null},{"id":"W1591371979","doi":"10.1108/lm-09-2014-0110","title":"Quantifying patron time-use of a public library","year":2015,"lang":"en","type":"article","venue":"Library Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia; Positive Living North; Kwantlen Polytechnic University","funders":"","keywords":"Originality; Value (mathematics); Computer science; Valuation (finance); Library classification; Business; Operations research; Library science; Marketing; Sociology; Engineering; Accounting","score_opus":0.26511065271669365,"score_gpt":0.2122919074912028,"score_spread":0.05281874522549085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591371979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76606286,0.0009269612,0.0011914406,0.0016967007,0.0003056294,0.0003812307,0.000098061435,0.00014929066,0.2291878],"genre_scores_gemma":[0.9634064,0.0004047813,0.009310407,0.0005728049,0.000058608453,0.000024514433,0.00020883956,0.000044456374,0.025969198],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990089,0.000022207048,0.00046093867,0.00028099315,0.00003467943,0.0001923141],"domain_scores_gemma":[0.9993288,0.000017765096,0.00022935333,0.00032012397,0.0000012615677,0.00010271854],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018078183,0.00011230641,0.00021761039,0.0002078937,0.000028925053,0.0001237224,0.00020633909,0.000045294535,0.002243301],"category_scores_gemma":[0.000005946202,0.00013383201,0.00007354332,0.00014639291,0.000035312067,0.0032877713,0.000301689,0.000050279366,0.0022442234],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011482558,0.00010931068,0.70301723,0.000042010248,0.00007839463,0.0000029916796,0.00012523808,0.00028573946,0.0000022308263,0.25761008,0.03548444,0.0032308584],"study_design_scores_gemma":[0.0010990618,0.00013411941,0.39422572,0.000027876513,0.000015529415,0.0000011620177,0.00023789711,0.009883793,0.00015078759,0.025261821,0.5685369,0.00042535728],"about_ca_topic_score_codex":0.000015884669,"about_ca_topic_score_gemma":3.560646e-7,"teacher_disagreement_score":0.53305244,"about_ca_system_score_codex":0.00002674764,"about_ca_system_score_gemma":0.0000066927532,"threshold_uncertainty_score":0.9986688},"labels":[],"label_agreement":null},{"id":"W1591376826","doi":"10.1002/9781118445112.stat06510","title":"Scaling of Preferential Choice","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Scaling; Thurstone scale; Representation (politics); Computer science; Dual (grammatical number); Econometrics; Mathematics; Statistics","score_opus":0.123639719758501,"score_gpt":0.2687927533085388,"score_spread":0.1451530335500378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591376826","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050130123,0.005813732,0.37473303,0.00008337496,0.0020919002,0.0011093875,0.14000888,0.0002560184,0.47089064],"genre_scores_gemma":[0.11155468,0.015547155,0.20607238,0.00036160916,0.0017484503,0.00009242343,0.034794964,0.0017812513,0.6280471],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997632,0.00003655465,0.0011613045,0.0006908834,0.0001022571,0.000376947],"domain_scores_gemma":[0.99753827,0.00013383346,0.0015548272,0.00061055145,0.000026161704,0.0001363634],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00025645606,0.0004094378,0.00097654545,0.0003560535,0.00004735707,0.00003417528,0.0003986222,0.00037901974,0.01395477],"category_scores_gemma":[0.00018602517,0.0004833446,0.00008774517,0.00009658501,0.00018537215,0.000064958476,0.00012668135,0.00033411843,0.0015931391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038805632,0.00084889174,0.032210454,0.0010607159,0.0005939745,0.000003331532,0.00018297092,0.00032614422,0.00003959606,0.39005774,0.55202174,0.022615625],"study_design_scores_gemma":[0.0013536687,0.00022058214,0.016373618,0.0004467095,0.000090127534,0.0000016376473,0.000038301,0.004081815,0.000018351038,0.025358187,0.95098096,0.0010360561],"about_ca_topic_score_codex":0.0012661763,"about_ca_topic_score_gemma":0.0006971185,"teacher_disagreement_score":0.39895922,"about_ca_system_score_codex":0.00013373888,"about_ca_system_score_gemma":0.000041613544,"threshold_uncertainty_score":0.9997618},"labels":[],"label_agreement":null},{"id":"W1594037671","doi":"10.1023/a:1021351721619","title":"Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach","year":2002,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1190,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Canadian Forest Service; Parks Canada","keywords":"Sample (material); Wilderness; Econometrics; Welfare; Logit; Economics; Welfare economics; Statistics; Mathematics; Ecology","score_opus":0.248982026049346,"score_gpt":0.18057101153125213,"score_spread":0.06841101451809387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594037671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9575259,0.0022838123,0.0011604005,0.00012652141,0.00006681436,0.00028841227,0.00008768238,0.000017733299,0.038442723],"genre_scores_gemma":[0.9959209,0.0030011393,0.00020871338,0.00015879815,0.00003902145,0.000033123288,0.000041680032,0.000025983716,0.00057061994],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984198,0.000029584047,0.00060586614,0.0006062773,0.000026224607,0.00031224906],"domain_scores_gemma":[0.9994141,0.000034104247,0.00020708672,0.00023235333,3.05898e-7,0.00011205343],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037472838,0.00021855695,0.00038941222,0.00012094315,0.0001399236,0.000059282385,0.00014427441,0.00015636164,0.000823598],"category_scores_gemma":[0.0000029736982,0.0002505654,0.00009385148,0.000027730712,0.00019197406,0.00027942797,0.00012036552,0.00018104496,0.000221437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012866188,0.0009291235,0.8410317,0.00005356419,0.00016721964,0.000005615893,0.004636283,0.12262918,0.00002064922,0.026502185,0.0003050674,0.0035907584],"study_design_scores_gemma":[0.0035479262,0.00010429928,0.0684916,0.000011126436,0.000013265062,0.000029069624,0.0013635781,0.8746239,0.000024478426,0.045024235,0.0060739834,0.0006925663],"about_ca_topic_score_codex":0.000046367542,"about_ca_topic_score_gemma":0.000015361435,"teacher_disagreement_score":0.7725401,"about_ca_system_score_codex":0.00047350203,"about_ca_system_score_gemma":0.0000018188778,"threshold_uncertainty_score":0.99999464},"labels":[],"label_agreement":null},{"id":"W1600813924","doi":"10.1007/s10488-015-0687-0","title":"Patient Preferences of a Low-Income Hispanic Population for Mental Health Services in Primary Care","year":2015,"lang":"en","type":"article","venue":"Administration and Policy in Mental Health and Mental Health Services Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Patient-Centered Outcomes Research Institute","keywords":"Mental health; Welfare; Population; Low income; Primary care; Free clinic; Medicine; Health services; Health care; Family medicine; Psychology; Gerontology; Nursing; Psychiatry; Environmental health; Socioeconomics; Economic growth; Economics","score_opus":0.11541523733605853,"score_gpt":0.3907919696232904,"score_spread":0.27537673228723186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600813924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803642,0.010652164,0.0000016660183,0.0051432317,0.00016281194,0.0022722452,0.0010568412,0.000009302984,0.00033751022],"genre_scores_gemma":[0.9873382,0.0069741015,0.000316931,0.0021281815,0.00005026137,0.00013105612,0.0030041183,0.000017921047,0.000039250855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99726665,0.00017613066,0.0012726643,0.0004883037,0.00017647035,0.0006197733],"domain_scores_gemma":[0.9986759,0.000036801688,0.00054153183,0.00015836,0.000019360621,0.0005680646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015052512,0.00018676638,0.0005038958,0.0005071459,0.00033228853,0.000050650575,0.0001215276,0.00009452171,0.000013065042],"category_scores_gemma":[0.0000029840148,0.0002131309,0.000033785946,0.0002652075,0.00007366618,0.00040938144,0.0001031426,0.00017418807,0.000008433144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084729365,0.00052095536,0.834865,0.0120784165,0.0000129532045,2.716792e-7,0.113310084,0.000010279138,0.000008842468,0.0050290064,0.00009016651,0.033226743],"study_design_scores_gemma":[0.0057470463,0.007801821,0.8840809,0.0016312368,7.854102e-7,0.000013307325,0.09034249,0.002653674,0.000041908537,0.0030424485,0.004294811,0.0003495618],"about_ca_topic_score_codex":0.028028898,"about_ca_topic_score_gemma":0.016948076,"teacher_disagreement_score":0.04921592,"about_ca_system_score_codex":0.0021374759,"about_ca_system_score_gemma":0.0005188799,"threshold_uncertainty_score":0.97844356},"labels":[],"label_agreement":null},{"id":"W1604055491","doi":"10.1017/s1074070800022094","title":"Japanese Consumers' Perceptions on and Willingness to Pay for Credence Attributes Associated with Canola Oil","year":2006,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Credence; Willingness to pay; Canola; Affect (linguistics); Scope (computer science); Perception; Credence good; Business; Marketing; Value (mathematics); Oleic acid; Health claims on food labels; Economics; Agricultural science; Food science; Microeconomics; Psychology; Information asymmetry; Biochemistry","score_opus":0.03166606095590707,"score_gpt":0.1826583030316948,"score_spread":0.15099224207578774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604055491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977988,0.00010913203,0.00006417802,0.000865275,0.00008376458,0.00011828242,0.00013452648,0.000005612046,0.0008204302],"genre_scores_gemma":[0.99830073,0.0002446384,0.0004998158,0.0001655977,0.000119447315,0.00001680048,0.00003310492,0.000009785053,0.0006100996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991259,0.0000040825644,0.000478633,0.00020710898,0.000016882868,0.00016737204],"domain_scores_gemma":[0.9992923,0.000088511675,0.0004474408,0.00005514936,0.000021449778,0.000095123265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023725389,0.00014373759,0.000347171,0.000053978252,0.00014859888,0.00008555086,0.000073899086,0.00007106865,0.000022320632],"category_scores_gemma":[0.000014496543,0.00009947066,0.000052769534,0.00004330171,0.00004714851,0.00017314916,0.000019186806,0.00009462208,0.0000149912785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042631474,0.00055537006,0.83379877,0.00008474446,0.00048087732,8.332648e-7,0.0026247802,0.09551468,0.001895666,0.05598584,0.003874309,0.0047578397],"study_design_scores_gemma":[0.00091085956,0.00019101803,0.9962359,0.000022410577,0.000022189364,0.000017121305,0.00071388925,0.00004670178,0.00014339112,0.00097010226,0.0005179632,0.00020847064],"about_ca_topic_score_codex":0.00004776272,"about_ca_topic_score_gemma":0.00009431942,"teacher_disagreement_score":0.16243713,"about_ca_system_score_codex":0.00015548279,"about_ca_system_score_gemma":0.000007335901,"threshold_uncertainty_score":0.40562958},"labels":[],"label_agreement":null},{"id":"W1604506907","doi":"10.1111/cjag.12008","title":"Social Welfare and Marine Reserves: Is Willingness to Pay for Conservation Dependent on Management Process? A Discrete Choice Experiment of the Ningaloo Marine Park in Australia","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Western Australia","keywords":"Marine protected area; Welfare; Marine reserve; Willingness to pay; Process (computing); Environmental resource management; Marine conservation; National park; Social Welfare; Discrete choice; Economics; Public economics; Business; Natural resource economics; Fishery; Ecology; Microeconomics; Political science; Biology; Computer science","score_opus":0.06707730763859945,"score_gpt":0.21046927950244235,"score_spread":0.1433919718638429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604506907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797996,0.000030932635,0.000004880757,0.017973807,0.00041563867,0.00091174286,0.00021438049,0.0000021654137,0.0006468123],"genre_scores_gemma":[0.99769,0.000022696091,0.00017717326,0.0004774893,0.00016124752,0.00013262847,0.000038220893,0.000021445803,0.0012790489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789137,0.000018962337,0.0011945912,0.0004020376,0.000012237549,0.00048078096],"domain_scores_gemma":[0.99835885,0.000043112366,0.00091090915,0.00019750097,0.00005549112,0.00043414108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004033949,0.00025384704,0.0005552484,0.00023418349,0.00020524523,0.00011176301,0.00040309745,0.00010966794,0.00052595156],"category_scores_gemma":[0.000046093828,0.00020735757,0.00016344295,0.000104720646,0.00007017552,0.00045606634,0.000064661814,0.00017622161,0.000020478532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053052496,0.000039596704,0.94882,0.00014960568,0.00020659347,0.0000023538296,0.0031780407,0.0043141604,0.000016121152,0.04030145,0.0018021025,0.001116901],"study_design_scores_gemma":[0.0010608904,0.00020684602,0.9853114,0.00004681855,0.000019835836,0.000011944513,0.0020094032,0.00017641255,0.0001446625,0.006918315,0.0037871962,0.00030629296],"about_ca_topic_score_codex":0.0690645,"about_ca_topic_score_gemma":0.38541383,"teacher_disagreement_score":0.31634933,"about_ca_system_score_codex":0.0015177954,"about_ca_system_score_gemma":0.000056923487,"threshold_uncertainty_score":0.9371347},"labels":[],"label_agreement":null},{"id":"W1608884908","doi":"10.1111/j.1744-7976.2012.01263.x","title":"Willingness to Pay for Multiple Quantities of Animal Welfare Dairy Products: Results from Random <i>N</i>th‐, Second‐Price, and Incremental Second‐Price Auctions","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bidding; Common value auction; Willingness to pay; Microeconomics; Economics; Vickrey auction; Contrast (vision); Certification; Animal welfare; Business; Auction theory; Computer science; Biology","score_opus":0.05376955254324747,"score_gpt":0.17553553208255654,"score_spread":0.12176597953930907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608884908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827818,0.0013173355,0.000050043072,0.0034185671,0.0022608323,0.00072805217,0.008186268,0.0000092118225,0.0012478561],"genre_scores_gemma":[0.99583536,0.00010603952,0.0014830253,0.000289305,0.0011673304,0.000046045116,0.0003623027,0.00004803136,0.0006625812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99627763,0.000034051503,0.0021508352,0.0006055709,0.000013541789,0.00091837934],"domain_scores_gemma":[0.9961935,0.00024746318,0.0017360427,0.0003394685,0.0001246646,0.0013588528],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011250477,0.0004188589,0.001105768,0.00040150667,0.00037601232,0.00014822854,0.00044425184,0.00020452554,0.0008981603],"category_scores_gemma":[0.00034474378,0.0004114765,0.00028882505,0.0001419539,0.0001453502,0.0016364637,0.00005733454,0.00027190824,0.000059606853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022348734,0.00036660637,0.8295461,0.000609404,0.0026276568,0.000014484005,0.026786564,0.006691797,0.0028016542,0.09892451,0.027854895,0.0015414804],"study_design_scores_gemma":[0.0047617997,0.0006120988,0.8751967,0.0000670086,0.00008061929,0.00012074879,0.005568746,0.0002660044,0.0011041188,0.0013179277,0.10999944,0.0009047961],"about_ca_topic_score_codex":0.020424515,"about_ca_topic_score_gemma":0.2318591,"teacher_disagreement_score":0.21143459,"about_ca_system_score_codex":0.0016662836,"about_ca_system_score_gemma":0.00018656517,"threshold_uncertainty_score":0.9998337},"labels":[],"label_agreement":null},{"id":"W1620723824","doi":"10.1016/j.scitotenv.2015.08.056","title":"A new framework for selecting environmental surrogates","year":2015,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Centre of Excellence in Cognition and its Disorders, Australian Research Council","keywords":"Computer science; Context (archaeology); Management science; Key (lock); Data science; Discipline; Risk analysis (engineering); Engineering; Sociology; Business; Geography; Social science","score_opus":0.08231582967543258,"score_gpt":0.22022580950817958,"score_spread":0.137909979832747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1620723824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98839825,0.00041540904,0.0072343317,0.0013833949,0.00042533522,0.0004246568,0.000028951295,0.000008102218,0.0016815587],"genre_scores_gemma":[0.9900096,0.000025340209,0.0081556095,0.00003534523,0.00007759985,0.000019854017,0.0000015942875,0.000012964759,0.0016621007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989533,0.0000130675035,0.0003417171,0.00030509924,0.000114848706,0.00027200097],"domain_scores_gemma":[0.9990621,0.00006465464,0.00032002167,0.000447788,0.0000011259699,0.00010430398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013362624,0.00011460282,0.00016281684,0.000037715476,0.000253355,0.000032346157,0.00056605705,0.000040898303,0.00020583994],"category_scores_gemma":[0.00011010182,0.00008364305,0.00010681994,0.00009700169,0.00050654094,0.00020733959,0.00026551634,0.00009694473,0.0003106929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017116993,0.0007341132,0.08964081,0.0000323544,0.00025278825,3.17857e-7,0.017123314,0.35899916,0.022245653,0.49682704,0.0021872092,0.01178606],"study_design_scores_gemma":[0.0018483447,0.0005173914,0.31936333,0.000037253132,0.000059212103,0.000023289755,0.0028801968,0.026965693,0.04150667,0.6026639,0.003361888,0.0007728818],"about_ca_topic_score_codex":0.00006668767,"about_ca_topic_score_gemma":3.6448574e-7,"teacher_disagreement_score":0.33203346,"about_ca_system_score_codex":0.00038940433,"about_ca_system_score_gemma":0.000029141464,"threshold_uncertainty_score":0.39934322},"labels":[],"label_agreement":null},{"id":"W1633467982","doi":"10.1002/sim.4326","title":"An informed reference prior for between‐study heterogeneity in meta‐analyses of binary outcomes","year":2011,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Prior probability; Variance (accounting); Vagueness; Bayesian probability; Computer science; Inference; Bayesian inference; Econometrics; Meta-analysis; Statistics; Mathematics; Artificial intelligence; Fuzzy logic; Medicine","score_opus":0.5384232542332547,"score_gpt":0.40781236794008474,"score_spread":0.13061088629316991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1633467982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894417,0.0002265363,0.008530227,0.000024986239,0.00007945339,0.00044660945,0.00045891883,0.000005007389,0.000786576],"genre_scores_gemma":[0.9855527,0.00009787714,0.014059479,0.00004912501,0.000014939197,0.0000694511,0.000116151255,0.0000110549445,0.000029179046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853265,0.000027786677,0.0009984556,0.00024468117,0.00003844553,0.00015796526],"domain_scores_gemma":[0.99907994,0.0002380135,0.00036488174,0.0002575789,0.000011985209,0.00004759291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010222668,0.00012689177,0.00076037546,0.000285556,0.00002284614,0.0000028735437,0.00016537913,0.00005150188,0.0003787093],"category_scores_gemma":[0.00026725087,0.00011396707,0.000035324858,0.00010074449,0.00009706219,0.0001252082,0.000026918146,0.00008199787,0.000014161618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019677916,0.00019351131,0.9907596,0.00003408294,0.00021626943,0.0000011990019,0.0014365063,0.00004554768,0.000012035172,0.006844148,0.000023175284,0.00041422131],"study_design_scores_gemma":[0.0013264522,0.0006922088,0.9810259,0.0000075700054,0.0001432198,1.0774815e-7,0.00058151875,0.00058569794,0.000058022142,0.01544354,0.000027895429,0.00010791653],"about_ca_topic_score_codex":0.0020693145,"about_ca_topic_score_gemma":0.0013366468,"teacher_disagreement_score":0.009733776,"about_ca_system_score_codex":0.00008245657,"about_ca_system_score_gemma":0.000012987938,"threshold_uncertainty_score":0.46474424},"labels":[],"label_agreement":null},{"id":"W1642968406","doi":"10.4000/economierurale.880","title":"L’externalité et la transaction environnementale les deux faces de la même pièce ?","year":2009,"lang":"fr","type":"article","venue":"Économie rurale","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Harvard University; Northwestern University","keywords":"Humanities; Political science; Coase theorem; Philosophy; Business; Transaction cost","score_opus":0.03890185069165626,"score_gpt":0.2356825316811252,"score_spread":0.19678068098946894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1642968406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9312078,0.009179432,0.0054207407,0.0066664657,0.00042947082,0.00025420196,0.0002324226,0.00004048883,0.04656899],"genre_scores_gemma":[0.9552679,0.009171395,0.0022234733,0.0011276924,0.00020096947,0.000027725117,0.000073424795,0.000040858195,0.031866536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806076,0.00017028123,0.0007223157,0.0005525941,0.000031473675,0.00046258554],"domain_scores_gemma":[0.9989427,0.0002016548,0.00038931463,0.00032485792,0.0000036007968,0.00013789008],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011827812,0.0003103029,0.00044042742,0.00012802843,0.00021703415,0.0002084114,0.00025243222,0.00036531914,0.0039444934],"category_scores_gemma":[0.000021751233,0.0004502126,0.00024897757,0.000059686867,0.00030512712,0.0008421748,0.000030199617,0.00033838794,0.0015541405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007551963,0.0010450091,0.5941861,0.000101038146,0.0002557704,0.000022484088,0.002347961,0.0135559,0.001328774,0.17456502,0.0034608638,0.20905554],"study_design_scores_gemma":[0.0020066188,0.00026943555,0.6689643,0.00008520342,0.00007069435,0.000117385665,0.0006582269,0.009767785,0.0012987264,0.031974748,0.28394198,0.00084484613],"about_ca_topic_score_codex":0.000765256,"about_ca_topic_score_gemma":0.00010190916,"teacher_disagreement_score":0.28048113,"about_ca_system_score_codex":0.00084106735,"about_ca_system_score_gemma":0.000029862913,"threshold_uncertainty_score":0.99979496},"labels":[],"label_agreement":null},{"id":"W1644844587","doi":"10.1038/35017647","title":"Valuation of consumption and sale of forest goods from a Central American rain forest","year":2000,"lang":"en","type":"article","venue":"Nature","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":180,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hectare; Valuation (finance); Consumption (sociology); Agricultural economics; Total economic value; Population; Geography; Value (mathematics); Forestry; Agroforestry; Business; Environmental science; Agriculture; Economics; Ecosystem services; Ecology; Mathematics; Ecosystem; Statistics; Finance","score_opus":0.040843437314501234,"score_gpt":0.22542410390568035,"score_spread":0.1845806665911791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1644844587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673116,0.0013137349,0.00023223508,0.00011696002,0.00006562267,0.00012312357,0.00023255448,0.0000054209872,0.001179204],"genre_scores_gemma":[0.99810725,0.0006547045,0.00084956863,0.00008215575,0.000036587888,0.0000046484483,0.00012951103,0.000008252576,0.00012734187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940366,0.000011271824,0.00029133807,0.00017077902,0.000026526683,0.00009643602],"domain_scores_gemma":[0.999572,0.00003454114,0.00024030721,0.00011857441,0.000004193947,0.000030430809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015251439,0.00006805491,0.00020365055,0.00004923573,0.000020847161,0.0000065309573,0.000055235632,0.00018700739,0.0006189819],"category_scores_gemma":[0.00002006502,0.000079521895,0.000042502368,0.000048911068,0.000100061014,0.00011152158,0.000010931843,0.00017612877,0.00003809978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022081442,0.000033089826,0.98667973,0.000008385122,0.000023148357,8.127653e-8,0.00022980341,0.0010766976,0.000060978855,0.005961488,0.00009386425,0.005810671],"study_design_scores_gemma":[0.00047125012,0.00005261549,0.9836373,0.000009075381,0.000010052921,3.2483328e-7,0.000027475795,0.006203605,0.00011867872,0.008493037,0.0009026877,0.00007390167],"about_ca_topic_score_codex":0.00047733402,"about_ca_topic_score_gemma":0.00020466556,"teacher_disagreement_score":0.0057367696,"about_ca_system_score_codex":0.00004738292,"about_ca_system_score_gemma":0.0000050534095,"threshold_uncertainty_score":0.67774177},"labels":[],"label_agreement":null},{"id":"W1647946654","doi":"","title":"Comparing forced and unforced choices in a choice experiment: the role of reference dependent preferences","year":2013,"lang":"en","type":"article","venue":"International Choice Modelling Conference 2013","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Respondent; Multinomial logistic regression; Choice set; Two-alternative forced choice; Discrete choice; Set (abstract data type); Econometrics; Economics; Status quo bias; Status quo; Loss aversion; Microeconomics; Mathematics; Computer science; Statistics","score_opus":0.15259522312249157,"score_gpt":0.2516410237214822,"score_spread":0.09904580059899065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1647946654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96987516,0.00086573727,0.0039195083,0.00022483364,0.00014522101,0.00030246188,0.000014352808,0.0000133882495,0.024639346],"genre_scores_gemma":[0.99830484,0.00048715074,0.00041810455,0.000049506336,0.00005299003,0.00013243145,0.000025089003,0.00001168618,0.0005181992],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869096,0.00001935513,0.00063980167,0.00036173506,0.00008563339,0.00020249502],"domain_scores_gemma":[0.99915045,0.0001540282,0.00039120732,0.00020498595,0.000046505535,0.000052789906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024801173,0.00016026222,0.00027188146,0.00011396198,0.000063288666,0.00013623656,0.0004460679,0.0000800474,0.00076145574],"category_scores_gemma":[0.00003394477,0.00014875179,0.00003831975,0.000051958803,0.00009395641,0.00065466156,0.00012356711,0.00017174799,0.0001714013],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001205354,0.00006918935,0.8562705,0.000013117884,0.000060703132,9.183112e-8,0.0012619563,0.049405523,0.00075850316,0.09101243,0.00001868707,0.0011172653],"study_design_scores_gemma":[0.0004928557,0.00003307138,0.16489694,0.000047141184,0.000003981811,8.7131974e-7,0.0004677093,0.79992485,0.0007654168,0.031991705,0.0011777023,0.00019776459],"about_ca_topic_score_codex":0.020862285,"about_ca_topic_score_gemma":0.0008529878,"teacher_disagreement_score":0.75051934,"about_ca_system_score_codex":0.00009197719,"about_ca_system_score_gemma":0.000013467399,"threshold_uncertainty_score":0.9856579},"labels":[],"label_agreement":null},{"id":"W1671132645","doi":"10.3109/10826084.2015.1012941","title":"Controlling, Modeling, Consensus, and Substance Use(r) Policy Intervention: Unfinished Business","year":2015,"lang":"en","type":"article","venue":"Substance Use & Misuse","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Intervention (counseling); Business as usual; Portfolio; Substance use; Perspective (graphical); Public economics; Economics; Law and economics; Positive economics; Actuarial science; Public relations; Political science; Psychology; Finance; Management; Psychiatry; Computer science","score_opus":0.18434620218181572,"score_gpt":0.256678610847499,"score_spread":0.07233240866568327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1671132645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98364764,0.0051990016,0.008582738,0.0005401728,0.00044035926,0.0003373352,0.00017023855,0.000078921476,0.0010035952],"genre_scores_gemma":[0.9945191,0.0011167766,0.0015321206,0.00036458264,0.00017132316,0.00003564519,0.000063136154,0.000057800054,0.0021394857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784946,0.000042006683,0.0009252011,0.0006723659,0.00007413076,0.0004368065],"domain_scores_gemma":[0.9986116,0.00008494031,0.00045170926,0.00050822465,0.00009673578,0.0002467449],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00066964346,0.0002987478,0.00054812577,0.00021315896,0.00013660929,0.00024979733,0.000193828,0.000160019,0.000118912445],"category_scores_gemma":[0.00033412714,0.00036522912,0.00011366055,0.00028072522,0.00017073537,0.0008676384,0.000037693662,0.00017050623,0.00034586087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032147538,0.0002742875,0.87026525,0.000057083053,0.00014883335,0.000021153735,0.0022320873,0.014535601,0.000047982634,0.1091281,0.0024092286,0.0005588893],"study_design_scores_gemma":[0.024683876,0.00032062014,0.5721574,0.0004500427,0.00011630622,0.000081118575,0.0017540551,0.2481092,0.00022369498,0.09935352,0.04952453,0.0032256304],"about_ca_topic_score_codex":0.0020958905,"about_ca_topic_score_gemma":0.0011891462,"teacher_disagreement_score":0.2981079,"about_ca_system_score_codex":0.00036360498,"about_ca_system_score_gemma":0.000041270087,"threshold_uncertainty_score":0.99987996},"labels":[],"label_agreement":null},{"id":"W1671327628","doi":"10.1007/s00267-012-9937-z","title":"‘Been There Done That’: Disentangling Option Value Effects from User Heterogeneity When Valuing Natural Resources with a Use Component","year":2012,"lang":"en","type":"preprint","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Endogeneity; Unobservable; Econometrics; Contingent valuation; Economics; Willingness to pay; Multivariate probit model; Valuation (finance); Instrumental variable; Probit model; Value (mathematics); Econometric model; Affect (linguistics); Statistics; Microeconomics; Mathematics; Psychology","score_opus":0.047597210359275936,"score_gpt":0.18993118491020924,"score_spread":0.1423339745509333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1671327628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98682696,0.0054971706,0.0037586773,0.0001221295,0.0009952734,0.0015580738,0.0004139718,0.00007927524,0.00074847596],"genre_scores_gemma":[0.9897264,0.0010891879,0.006106323,0.0002618541,0.00027078105,0.00018313165,0.0012893977,0.00012869191,0.0009442212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99713117,0.00010741123,0.0007080292,0.0012702236,0.00021336476,0.0005698224],"domain_scores_gemma":[0.99798924,0.0000722173,0.00080942485,0.00095182494,0.0000013183294,0.00017600427],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004232148,0.0006627017,0.0007181364,0.00017638144,0.00024710927,0.00026961765,0.0004432158,0.00023411165,0.00042119736],"category_scores_gemma":[0.0000031148488,0.0007078515,0.0002824119,0.00003322486,0.00014704533,0.0005767726,0.001495833,0.00050290814,0.000870875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010771032,0.0005285022,0.9777086,0.00019916124,0.0012834594,0.000028814824,0.0012182994,0.015363035,0.00011739312,0.0019567006,0.00010765608,0.001380691],"study_design_scores_gemma":[0.0013339984,0.000051461546,0.9863275,0.00022230495,0.0002486081,0.0000022141933,0.000269932,0.0037602761,0.0003857091,0.0023857967,0.0041000717,0.0009120981],"about_ca_topic_score_codex":0.0006881109,"about_ca_topic_score_gemma":0.00002552878,"teacher_disagreement_score":0.011602758,"about_ca_system_score_codex":0.001384821,"about_ca_system_score_gemma":0.000002122785,"threshold_uncertainty_score":0.9999071},"labels":[],"label_agreement":null},{"id":"W1691969902","doi":"10.1139/z06-153","title":"The role of variability and uncertainty in testing hypotheses involving parameters in stochastic demographic models","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variance (accounting); Statistics; Econometrics; Context (archaeology); Standard error; Population; Vital rates; Mathematics; Biology; Population growth; Demography","score_opus":0.054108782774580914,"score_gpt":0.1805278513146811,"score_spread":0.12641906854010018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1691969902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965161,0.002266945,0.00036173454,0.00010280526,0.000058326747,0.000056003897,0.000008022037,4.900763e-7,0.0006295394],"genre_scores_gemma":[0.9995946,0.00003085087,0.00032541502,0.000027652508,0.000010978201,0.0000020547025,4.9710184e-7,0.000004430784,0.0000034876823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915516,0.000045403856,0.0005325261,0.000093556555,0.000009940535,0.00016343231],"domain_scores_gemma":[0.99911195,0.00046234645,0.00028982814,0.000070396156,0.000009498027,0.00005596444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013196879,0.000052571486,0.00019610637,0.00024920327,0.00004064451,0.000012034665,0.000090783025,0.00005170243,0.000007018914],"category_scores_gemma":[0.0003796187,0.000052173367,0.000026643995,0.000103681006,0.00015980487,0.000102522004,0.0000075557928,0.00011587894,8.298042e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029840635,0.000005292407,0.7881083,0.0000015323508,0.000003985705,0.0000011897926,0.000096612865,0.1971514,0.000005048788,0.0139284525,0.0000010182547,0.00069422607],"study_design_scores_gemma":[0.00014259199,0.00002534643,0.6094113,0.0000090342455,0.0000016371755,0.0000075345233,0.00013813793,0.053493924,0.0000015089768,0.33672622,0.0000068820927,0.000035900113],"about_ca_topic_score_codex":0.03395423,"about_ca_topic_score_gemma":0.09766072,"teacher_disagreement_score":0.32279778,"about_ca_system_score_codex":0.00016522095,"about_ca_system_score_gemma":0.00006957171,"threshold_uncertainty_score":0.97247875},"labels":[],"label_agreement":null},{"id":"W1694982257","doi":"10.1111/j.1539-6924.2012.01822.x","title":"Using Expert Judgments to Explore Robust Alternatives for Forest Management under Climate Change","year":2012,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Carnegie Mellon University","keywords":"Climate change; Environmental resource management; Forest management; Environmental science; Agroforestry; Ecology","score_opus":0.4725417151187083,"score_gpt":0.3209542090085824,"score_spread":0.1515875061101259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1694982257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8249048,0.0007857912,0.17268586,0.000102721475,0.00016906475,0.00031872996,0.00010671725,0.000013052392,0.0009132608],"genre_scores_gemma":[0.98349005,0.0014056043,0.014197755,0.00027658092,0.0001937377,0.0002213634,0.00006706978,0.000022632283,0.0001252264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895656,0.0000116992605,0.00035346675,0.00030230486,0.00003186269,0.00034409534],"domain_scores_gemma":[0.9993893,0.000016760396,0.00024537157,0.00023911236,0.000005041899,0.00010441295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004257337,0.00013154958,0.00029400756,0.00036802943,0.00014716282,0.000036484515,0.000118224976,0.000038951977,0.0002799917],"category_scores_gemma":[0.000005901634,0.00015080888,0.00022039044,0.00022816852,0.0000145302565,0.00036561646,0.00008653878,0.000032054268,0.0003599566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000890028,0.000089108595,0.9338275,0.00000827573,0.00079419854,1.4504117e-7,0.0014091096,0.053293142,0.0000034956558,0.009449339,0.000059491085,0.0010572923],"study_design_scores_gemma":[0.00047677575,0.000025340938,0.8995553,0.00000818486,0.00040084205,2.0336932e-7,0.0017182677,0.09351157,0.00003436186,0.0022246228,0.001716531,0.0003279914],"about_ca_topic_score_codex":0.00028058438,"about_ca_topic_score_gemma":0.000046149304,"teacher_disagreement_score":0.15858524,"about_ca_system_score_codex":0.00024646206,"about_ca_system_score_gemma":6.127079e-7,"threshold_uncertainty_score":0.61498076},"labels":[],"label_agreement":null},{"id":"W1701936518","doi":"","title":"Climate preferences for tourism: evidence from Canada, New Zealand and Sweden","year":2008,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; Geography; Climate change; Economic geography; Regional science; Ecology; Archaeology","score_opus":0.11118430121159062,"score_gpt":0.18829890513970998,"score_spread":0.07711460392811936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1701936518","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80563235,0.00024099587,0.0028341382,0.003617709,0.00013263673,0.00031991155,0.00075961614,0.00004734719,0.18641528],"genre_scores_gemma":[0.2551705,0.003111454,0.003439678,0.0001479184,0.00010590839,8.8743127e-7,0.00029189812,0.000017173137,0.7377146],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991556,0.000016715,0.00015595966,0.0004188744,0.000035141693,0.00021774665],"domain_scores_gemma":[0.9992011,0.00014111922,0.00019826827,0.00024861668,0.000026752685,0.00018411441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000902446,0.00011737869,0.00019525521,0.00024960842,0.0005718281,0.00003868418,0.0003123507,0.0000843703,0.00032291352],"category_scores_gemma":[0.000031715794,0.00016850952,0.000052421,0.00024100063,0.00009222648,0.0009469551,0.00012190116,0.000078906276,0.00003498263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049719536,0.00005039611,0.6224735,0.000009092369,0.00009305645,0.000005507333,0.0006423159,0.000099228986,0.000010295972,0.34002963,0.03616179,0.00037548807],"study_design_scores_gemma":[0.0004961068,0.000023166967,0.33301035,0.000007375391,0.000022013424,0.0000014643272,0.00039987962,0.00026204548,0.0000061537753,0.000879091,0.6647374,0.00015495559],"about_ca_topic_score_codex":0.24449971,"about_ca_topic_score_gemma":0.14257677,"teacher_disagreement_score":0.6285756,"about_ca_system_score_codex":0.0004818995,"about_ca_system_score_gemma":0.00018134719,"threshold_uncertainty_score":0.873069},"labels":[],"label_agreement":null},{"id":"W172972181","doi":"10.5751/es-01591-110133","title":"Efficient Conservation in a Utility-Maximization Framework","year":2006,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Agriculture; National Science Foundation","keywords":"Computer science; Maximization; Environmental resource management; Geography; Environmental planning; Economics; Microeconomics","score_opus":0.03513182216200802,"score_gpt":0.20234579322090085,"score_spread":0.16721397105889282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W172972181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891235,0.00025104402,0.005718519,0.00071995275,0.0001274674,0.00010834337,0.000008436107,0.000011390847,0.0039313473],"genre_scores_gemma":[0.99713343,0.00007187219,0.0019238504,0.00060165895,0.00003142292,0.000016266886,0.000024614088,0.000004632747,0.00019225612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994198,0.000011903724,0.00025537927,0.0001907326,0.0000083612385,0.00011378538],"domain_scores_gemma":[0.99976325,0.00005617417,0.000093945586,0.00007002097,0.0000029272321,0.000013708295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003888801,0.000055022538,0.00012806979,0.000024751129,0.000079096055,0.000010325512,0.00002907653,0.00014684828,0.00026241833],"category_scores_gemma":[0.000023111417,0.0000705147,0.000036782727,0.00006037816,0.000071590264,0.0000397903,0.000018922316,0.00008610444,0.00008657544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016965481,0.000051619118,0.8946014,0.000004314039,0.000003955001,1.3213781e-7,0.00031721222,0.002051727,0.0000021695373,0.102511115,0.00041207575,0.00004257015],"study_design_scores_gemma":[0.0002550872,0.00001136297,0.8719538,0.00000188444,0.0000012625642,4.6727905e-7,0.00009418342,0.06601207,0.0000034466668,0.061002094,0.0006022236,0.00006214615],"about_ca_topic_score_codex":0.00011794078,"about_ca_topic_score_gemma":0.00007678783,"teacher_disagreement_score":0.06396034,"about_ca_system_score_codex":0.00007943766,"about_ca_system_score_gemma":0.000004928833,"threshold_uncertainty_score":0.2875506},"labels":[],"label_agreement":null},{"id":"W1729984106","doi":"10.1186/1478-4505-2-3","title":"A contingent valuation study to estimate the parental willingness-to-pay for childhood diarrhoea and gender bias among rural households in India","year":2004,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Commonwealth Foundation","keywords":"Willingness to pay; Contingent valuation; Socioeconomic status; Demography; Medicine; Environmental health; Economics; Population","score_opus":0.45359989992358674,"score_gpt":0.437320810225609,"score_spread":0.016279089697977756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1729984106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99261206,0.00073369395,0.00045169392,0.0020180051,0.00012435934,0.0038303449,0.00008654813,0.000011063727,0.00013220288],"genre_scores_gemma":[0.99845725,0.00016219179,0.00005147116,0.000302508,0.00019661477,0.00073096587,0.000013662355,0.000021639911,0.00006368355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815744,0.00017592651,0.00065330806,0.00035641066,0.00010418944,0.0005527155],"domain_scores_gemma":[0.9991687,0.00019342339,0.00015766484,0.00019644763,0.000019580584,0.000264199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007671122,0.0001222769,0.00031807332,0.00029523487,0.0004148559,0.00017636603,0.00011568434,0.00004922003,0.0000025555762],"category_scores_gemma":[0.00044629394,0.000100403944,0.000026455562,0.00025747376,0.000052757478,0.00014363401,0.000093522256,0.00017012951,0.000025986817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015925298,0.00014113,0.96207625,0.00007162373,0.000016439486,3.6102648e-7,0.022109654,0.0026765417,0.0000010678675,0.012139664,0.000056059318,0.000695313],"study_design_scores_gemma":[0.001189306,0.00043080017,0.9883266,0.000048854345,0.0000014728828,0.000002396475,0.004025489,0.0017731157,0.0000013752126,0.0038882056,0.00020437482,0.00010799967],"about_ca_topic_score_codex":0.011189312,"about_ca_topic_score_gemma":0.00073275686,"teacher_disagreement_score":0.026250388,"about_ca_system_score_codex":0.0005734724,"about_ca_system_score_gemma":0.00010117957,"threshold_uncertainty_score":0.99539524},"labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"opus","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W1770848146","doi":"10.1111/cjag.12020","title":"Effects of Crop Prices, Nuisance Costs, and Wetland Regulation on Saskatchewan NAWMP Implementation Goals","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Wetland; Nuisance; Revenue; Drainage; Agriculture; Waterfowl; Natural resource economics; Environmental science; Business; Water resource management; Economics; Geography; Ecology; Habitat","score_opus":0.023078484657194198,"score_gpt":0.1638976700304289,"score_spread":0.1408191853732347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1770848146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951418,0.00084258296,0.000024447538,0.0012640984,0.0007122561,0.0005542328,0.00018822741,0.000004865627,0.0012674689],"genre_scores_gemma":[0.99838555,0.00022816227,0.00033325425,0.00027923862,0.00027794784,0.000027465292,0.00006359681,0.000026234973,0.0003785387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977215,0.000024539468,0.0013515222,0.00039457122,0.00000980807,0.00049809314],"domain_scores_gemma":[0.9972615,0.00011702738,0.0016205339,0.00019470349,0.000064472035,0.0007417643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038435942,0.00028367678,0.0006886183,0.00035977966,0.00015497413,0.00014043445,0.00027106938,0.00014683531,0.00077292375],"category_scores_gemma":[0.000048554466,0.0002922514,0.0001668713,0.00008611496,0.00012466659,0.0009583181,0.000020235515,0.00018259976,0.0001472886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011552354,0.00016875072,0.68281597,0.00058885553,0.0012800958,0.000021784212,0.010316858,0.009436617,0.0037803955,0.24743637,0.01618671,0.027852088],"study_design_scores_gemma":[0.0012849262,0.00040520763,0.98463786,0.000068884845,0.000032556378,0.000058480196,0.0016975562,0.00013044951,0.0011218817,0.0071076266,0.0030495597,0.00040500396],"about_ca_topic_score_codex":0.060321897,"about_ca_topic_score_gemma":0.26281637,"teacher_disagreement_score":0.30182192,"about_ca_system_score_codex":0.0019726732,"about_ca_system_score_gemma":0.0001479073,"threshold_uncertainty_score":0.999953},"labels":[],"label_agreement":null},{"id":"W1774127254","doi":"10.7202/039990ar","title":"La nature et l’interprétation des variables indépendantes fonction du temps en démographie","year":2010,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Philosophy","score_opus":0.010937449729372585,"score_gpt":0.20499187056905854,"score_spread":0.19405442083968596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1774127254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9466071,0.0182409,0.006089882,0.0022151598,0.004042564,0.0004021021,0.000369622,0.00010243785,0.021930244],"genre_scores_gemma":[0.96434236,0.026647195,0.0054869675,0.0012098437,0.000502506,0.00009314071,0.00023222268,0.00010962452,0.0013761382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972107,0.00023603758,0.00091102737,0.00085700856,0.00009174774,0.0006935186],"domain_scores_gemma":[0.99795413,0.0005623871,0.00063565467,0.00053914735,0.000048297064,0.00026035876],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0026835336,0.0004911,0.0005688487,0.0011245837,0.00046602794,0.00027106982,0.00043436085,0.0018392267,0.0008452903],"category_scores_gemma":[0.00053217035,0.0006608739,0.0005084874,0.00087440404,0.0017979225,0.0011237705,0.000079015095,0.0022887527,0.00025334183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003909747,0.0002988398,0.6526441,0.00012871096,0.00031147493,0.000014665006,0.004121958,0.00018570601,0.00047932824,0.32262054,0.003116765,0.016038788],"study_design_scores_gemma":[0.0011629869,0.00017640935,0.6840754,0.00013984751,0.00013461654,0.00015309096,0.0026319355,0.0010775977,0.0002699882,0.061025046,0.24832943,0.00082361116],"about_ca_topic_score_codex":0.0042146826,"about_ca_topic_score_gemma":0.014380437,"teacher_disagreement_score":0.2615955,"about_ca_system_score_codex":0.00044959845,"about_ca_system_score_gemma":0.000100541256,"threshold_uncertainty_score":0.99958426},"labels":[],"label_agreement":null},{"id":"W1775093370","doi":"10.1139/cjfr-2013-0298","title":"Forest valuation under the generalized Faustmann formula","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Value (mathematics); Land Values; Mathematics; Land value; Forestry; Economics; Environmental science; Agricultural economics; Agroforestry; Econometrics; Land use; Statistics; Geography; Ecology","score_opus":0.2444723556674971,"score_gpt":0.2936093445646634,"score_spread":0.049136988897166334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1775093370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849727,0.0011203486,0.0011338444,0.0045384434,0.00025767126,0.0002940018,0.000011624553,0.0000019010391,0.007669467],"genre_scores_gemma":[0.9970796,0.00010221788,0.00020520716,0.0002575317,0.0002338672,0.000024973766,0.000010252089,0.00001851735,0.0020677943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868697,0.00006532905,0.0005563966,0.00014548586,0.0001016922,0.00044413612],"domain_scores_gemma":[0.99894327,0.00009800028,0.00023813015,0.00024643054,0.0001224858,0.00035168376],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026071083,0.00008865342,0.00018638755,0.00043702472,0.00034823094,0.0002156418,0.00040678392,0.000083303734,0.0021750648],"category_scores_gemma":[0.00015634796,0.00007379329,0.00010772833,0.00018848656,0.00019461746,0.00048697338,0.000024362094,0.00034148677,0.0017640885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039698016,0.000012431262,0.7648521,0.000005150521,0.0000438129,0.0000031656355,0.00031548078,0.007348303,0.00001169311,0.21283764,0.013713098,0.0008531683],"study_design_scores_gemma":[0.00031765498,0.00008092536,0.761894,0.000008445848,0.0000028346185,0.000015046725,0.00028378092,0.002476854,0.000011948035,0.22525583,0.009577154,0.00007550952],"about_ca_topic_score_codex":0.024882406,"about_ca_topic_score_gemma":0.051179532,"teacher_disagreement_score":0.026297124,"about_ca_system_score_codex":0.00059872394,"about_ca_system_score_gemma":0.00025407175,"threshold_uncertainty_score":0.9990131},"labels":[],"label_agreement":null},{"id":"W1796524135","doi":"10.3141/2351-18","title":"Effect of Parking Charges at Transit Stations on Park-and-Ride Mode Choice","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"IBI Group (Canada); University of Toronto","funders":"","keywords":"Park and ride; Transport engineering; Mode choice; Multinomial logistic regression; Transit (satellite); Revealed preference; Preference; Mode (computer interface); Discrete choice; Mixed logit; TRIPS architecture; Geography; Public transport; Business; Computer science; Engineering; Econometrics; Logistic regression; Economics; Statistics; Mathematics","score_opus":0.14939887183041103,"score_gpt":0.345750789086227,"score_spread":0.19635191725581594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1796524135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99519306,0.00035298403,0.00052855565,0.0020456149,0.00022618011,0.001000762,0.00015723117,0.000010062037,0.00048554188],"genre_scores_gemma":[0.9972538,0.0013608313,0.0003182447,0.000042435873,0.00007799443,0.000121155106,0.000027747663,0.000041335745,0.00075646455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964041,0.0005114887,0.0015054032,0.00039167938,0.0006430394,0.00054429483],"domain_scores_gemma":[0.99688554,0.0015181941,0.000665989,0.00034211297,0.0003418697,0.00024630208],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003987612,0.00020951705,0.0005515171,0.0007294407,0.0004312302,0.00007026193,0.00047611678,0.00014337545,0.0011163899],"category_scores_gemma":[0.00017554598,0.00017550078,0.0002953346,0.0005546836,0.00042726516,0.0006436698,0.0000068941577,0.0009056808,0.00014771515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004872703,0.00014153503,0.97873724,0.0002561361,0.00015306291,0.000004310228,0.0020079536,0.0036173041,0.0022136974,0.006700202,0.0014930281,0.004188254],"study_design_scores_gemma":[0.0015597922,0.0010197276,0.985285,0.00014883785,0.00002480216,2.526229e-7,0.00026269731,0.0007703044,0.0037913574,0.0044345795,0.00254439,0.00015825566],"about_ca_topic_score_codex":0.010195917,"about_ca_topic_score_gemma":0.00591461,"teacher_disagreement_score":0.006547757,"about_ca_system_score_codex":0.00029474538,"about_ca_system_score_gemma":0.00005743369,"threshold_uncertainty_score":0.99979675},"labels":[],"label_agreement":null},{"id":"W1799758583","doi":"","title":"Estimating population cardinal health state valuation models from individual ordinal (rank) health state preference data","year":2004,"lang":"en","type":"preprint","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; McMaster University; Harvard University","keywords":"Pairwise comparison; Econometrics; Ordinal data; Thurstone scale; Time-trade-off; Valuation (finance); Statistics; Ordinal regression; Ranking (information retrieval); Mathematics; Population; Computer science; Economics; Medicine; Artificial intelligence; Quality of life (healthcare)","score_opus":0.43023320097900614,"score_gpt":0.30465237404358064,"score_spread":0.1255808269354255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1799758583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76340526,0.0009365921,0.21405207,0.0054029375,0.0001763723,0.0010889027,0.014291566,0.000043372413,0.0006029272],"genre_scores_gemma":[0.9499986,0.0033683367,0.040627748,0.00002263125,0.00004903784,3.5243307e-8,0.005191126,0.000023338609,0.0007191579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968287,0.00050833094,0.00056622317,0.0010395647,0.00050647627,0.00055072317],"domain_scores_gemma":[0.9961162,0.00021339185,0.0019124236,0.0013014097,0.00020221206,0.0002543231],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034892103,0.00031113546,0.0011016817,0.00072750467,0.0009749125,0.000031806903,0.0025265303,0.00031047207,0.00038911408],"category_scores_gemma":[0.000046451427,0.0004601708,0.0002750333,0.00041627084,0.0007985021,0.0008642358,0.0032537722,0.0012398728,0.000027892067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097139773,0.0009942523,0.061116483,0.0011344415,0.0012796994,0.000019571073,0.06020937,0.8397205,0.000011755491,0.002491012,0.0027221132,0.029329438],"study_design_scores_gemma":[0.005497287,0.0009380128,0.4394711,0.0015609856,0.00024405828,0.0000030417943,0.050677307,0.4606669,0.0000032299718,0.03803311,0.0019116325,0.0009933467],"about_ca_topic_score_codex":0.21092442,"about_ca_topic_score_gemma":0.01593919,"teacher_disagreement_score":0.3790536,"about_ca_system_score_codex":0.0012783316,"about_ca_system_score_gemma":0.0008637834,"threshold_uncertainty_score":0.999785},"labels":[],"label_agreement":null},{"id":"W1800519929","doi":"10.1111/1467-842x.00128","title":"Practical Maximum Pseudolikelihood for Spatial Point Patterns","year":2000,"lang":"en","type":"article","venue":"Australian & New Zealand Journal of Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":395,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Mathematics; Point process; Exponential family; Covariate; Poisson point process; Poisson distribution; Quasi-likelihood; Applied mathematics; Spatial analysis; Cox process; Computation; Spatial dependence; Exponential function; Generalized linear model; Statistics; Algorithm; Count data; Poisson process; Mathematical analysis","score_opus":0.09017917241294637,"score_gpt":0.2752519146079772,"score_spread":0.18507274219503084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1800519929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5023835,0.00008399586,0.4760328,0.015565824,0.0012652572,0.00046763595,0.0029604451,0.000015616202,0.0012249793],"genre_scores_gemma":[0.90627897,0.0005882821,0.07437784,0.00038629395,0.0009056489,0.000004019401,0.000092566224,0.00004014463,0.017326215],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99865276,0.000013017366,0.00087015744,0.0001645423,0.000051209536,0.0002483283],"domain_scores_gemma":[0.99902546,0.00008562912,0.0005476175,0.00012113155,0.000020697069,0.0001994394],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037886685,0.00013196873,0.00033373604,0.000075945725,0.000051549487,0.000062944564,0.000110741756,0.00008211967,0.00604844],"category_scores_gemma":[0.00005907698,0.00014065487,0.00010316566,0.000029435896,0.000029715744,0.00024563077,0.000009083074,0.0001688832,0.00036073138],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032942076,0.0004241406,0.28059012,0.00004825579,0.00026207973,0.000057099034,0.0006821565,0.00051346025,0.000020808235,0.016992815,0.6371957,0.06288396],"study_design_scores_gemma":[0.004979368,0.0015644818,0.5116731,0.00004866046,0.000104578154,0.0003133603,0.00014334326,0.0009155104,0.0001315731,0.19127761,0.2883654,0.00048299276],"about_ca_topic_score_codex":0.00030094662,"about_ca_topic_score_gemma":0.00003522906,"teacher_disagreement_score":0.40389556,"about_ca_system_score_codex":0.00009738345,"about_ca_system_score_gemma":0.000041545805,"threshold_uncertainty_score":0.9948602},"labels":[],"label_agreement":null},{"id":"W1806134151","doi":"10.1080/00224561.2000.12436389","title":"Rural water use and conservation in southwestern Ontario","year":2000,"lang":"en","type":"article","venue":"Journal of Soil and Water Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Water conservation; Agriculture; Livestock; Incentive; Business; Conservation agriculture; Farm water; Water use; Water scarcity; Water saving; Agricultural economics; Irrigation; Natural resource economics; Environmental science; Water resource management; Geography; Economics; Ecology","score_opus":0.06228589101682267,"score_gpt":0.18445543651251312,"score_spread":0.12216954549569045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1806134151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971184,0.00008624848,0.00003059475,0.0024457865,0.00007870863,0.000058485162,0.000003992011,0.0000026110615,0.00017518812],"genre_scores_gemma":[0.9972846,0.0002221243,0.0000992592,0.0007755819,0.000033264503,0.000002070067,0.000018698061,0.000006916381,0.0015574734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991727,0.0000143051075,0.00056259084,0.00010147139,0.000024918962,0.00012403754],"domain_scores_gemma":[0.9997503,0.000015555144,0.00012373028,0.000056357287,0.000013761379,0.00004028593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043113276,0.00008282453,0.00019605004,0.0001059988,0.00004590768,0.000089205205,0.000034469016,0.00006127323,0.0004766627],"category_scores_gemma":[0.0000050055746,0.00006402453,0.000029958408,0.000016856555,0.000041209616,0.0009762585,0.000013906886,0.00009770871,0.000073077244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046624467,0.000022060547,0.9961966,0.000006855028,0.00001328653,0.000002218338,0.002387479,0.00010893642,0.00025528716,0.00016433474,0.000057005753,0.0007392582],"study_design_scores_gemma":[0.0010085622,0.00005963745,0.98849916,0.000021811396,0.0000066143384,0.000029699273,0.0000820307,0.00080686185,0.0004185298,0.005493457,0.003471466,0.00010219243],"about_ca_topic_score_codex":0.012470258,"about_ca_topic_score_gemma":0.005431851,"teacher_disagreement_score":0.007697516,"about_ca_system_score_codex":0.00009088147,"about_ca_system_score_gemma":0.0000070566625,"threshold_uncertainty_score":0.9941058},"labels":[],"label_agreement":null},{"id":"W1807720079","doi":"10.1111/cjag.12069","title":"Online Survey Data Quality and Its Implication for Willingness‐to‐Pay: A Cross‐Country Comparison","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Popularity; Quality (philosophy); Willingness to pay; Survey data collection; Data quality; Preference; Statistics; Computer science; Econometrics; Psychology; Marketing; Social psychology; Business; Economics; Metric (unit); Mathematics","score_opus":0.3956255146420405,"score_gpt":0.28985752108040397,"score_spread":0.10576799356163652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1807720079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842885,0.0010527,0.00019204027,0.003076887,0.0014593377,0.00049180293,0.009235192,0.000007407237,0.00019610523],"genre_scores_gemma":[0.9958045,0.0000902448,0.00085997913,0.0004991376,0.0006332625,0.000017903743,0.0017163743,0.00003574967,0.0003428888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99661404,0.00004445188,0.001992729,0.0006903558,0.000009988118,0.0006484605],"domain_scores_gemma":[0.9957372,0.00016681344,0.0015246945,0.0004834569,0.00017860519,0.0019092476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028201416,0.0003112986,0.00093507435,0.00024434965,0.00020865894,0.00027844496,0.0008492241,0.00016448375,0.000069588794],"category_scores_gemma":[0.00070918835,0.0003098309,0.00011345831,0.0001199899,0.000084344756,0.001183712,0.00008524126,0.00023454896,0.00010131234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119106895,0.00007117607,0.9451909,0.000063142754,0.00025985794,0.0000026759362,0.0013050617,0.013678828,0.000015293968,0.03120358,0.0068821544,0.0012082421],"study_design_scores_gemma":[0.0012396742,0.00028354806,0.96407056,0.000019071544,0.000023223653,0.000058414804,0.0005706871,0.0025866707,0.000013010976,0.0030315188,0.027602488,0.00050114375],"about_ca_topic_score_codex":0.04684743,"about_ca_topic_score_gemma":0.6214972,"teacher_disagreement_score":0.57464975,"about_ca_system_score_codex":0.002083419,"about_ca_system_score_gemma":0.00041103698,"threshold_uncertainty_score":0.9999354},"labels":[],"label_agreement":null},{"id":"W1811784865","doi":"","title":"Consumers’ Willingness to Pay for Electricity from Renewable Energy Sources, Queensland, Australia","year":2012,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Willingness to pay; Quarter (Canadian coin); Electricity; Environmental economics; Payment; Business; Affect (linguistics); Feed-in tariff; Electricity generation; Mains electricity; Natural resource economics; Energy policy; Public economics; Economics; Agricultural economics; Engineering; Power (physics); Finance; Geography; Microeconomics","score_opus":0.07472873201305985,"score_gpt":0.2004016338633951,"score_spread":0.12567290185033525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1811784865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8821689,0.00034087148,0.10685704,0.00019718174,0.00044446287,0.00021801042,0.00045471272,0.000042946078,0.009275864],"genre_scores_gemma":[0.9737038,0.000092961855,0.0017304324,0.00018021495,0.00011615125,0.00000478116,0.00015009913,0.00002129165,0.024000255],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886805,0.000020756168,0.0002742352,0.0003720622,0.000031025742,0.00043386966],"domain_scores_gemma":[0.99923855,0.00008965557,0.00020088637,0.00024467803,0.000013905071,0.00021233637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022209132,0.00016601288,0.00029926814,0.00017763434,0.00018381626,0.000034768673,0.00021306654,0.00012437401,0.0007121039],"category_scores_gemma":[0.000026689935,0.00020219921,0.000111845126,0.00021488627,0.000036378704,0.00033414926,0.000053819043,0.00006896316,0.0003378699],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010998968,0.00011819132,0.9364738,0.000010087674,0.00012558461,0.000002345985,0.00054536026,0.0014327886,0.00010852096,0.051526234,0.009369018,0.00017806722],"study_design_scores_gemma":[0.000922479,0.00005499967,0.12717895,0.0000069307393,0.00003455774,9.383404e-7,0.00034847792,0.00042020358,0.0010129764,0.0035157977,0.86609,0.00041367058],"about_ca_topic_score_codex":0.009470287,"about_ca_topic_score_gemma":0.00083778135,"teacher_disagreement_score":0.856721,"about_ca_system_score_codex":0.00040748928,"about_ca_system_score_gemma":0.000014459284,"threshold_uncertainty_score":0.99712574},"labels":[],"label_agreement":null},{"id":"W1811979373","doi":"10.1111/cjag.12062","title":"How Local Is Local? A Reflection on Canadian Local Food Labeling Policy from Consumer Preference","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Bijzonder Onderzoeksfonds UGent; Huazhong Agricultural University; University of Kentucky; Korea University; National Natural Science Foundation of China; Kentucky Agricultural Experiment Station","keywords":"Willingness to pay; Preference; Perception; Business; Reflection (computer programming); Geography; Agricultural economics; Economics; Microeconomics; Psychology","score_opus":0.16292699512791345,"score_gpt":0.18755977579380587,"score_spread":0.024632780665892418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1811979373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97668386,0.0012163154,0.00072765484,0.011862839,0.0019896573,0.00032374298,0.0017254909,0.000013875667,0.0054565696],"genre_scores_gemma":[0.9948612,0.00016447429,0.00027436283,0.0023601449,0.00096237555,0.000019742902,0.00018018101,0.000060285125,0.0011172191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964915,0.00004684874,0.0014099553,0.0007902255,0.000020976497,0.0012405252],"domain_scores_gemma":[0.9940825,0.000077977624,0.0011797668,0.0004547291,0.00013972048,0.0040653064],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006112806,0.00054099783,0.0010024323,0.0009840117,0.00032209753,0.00041583084,0.0007048976,0.0004138811,0.0005657935],"category_scores_gemma":[0.00014042815,0.00058249966,0.00033861358,0.00023012019,0.00035012377,0.001178212,0.000033968907,0.0005899688,0.0007488303],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004067843,0.00020769576,0.20534727,0.00011858642,0.0033065593,0.00022393941,0.018142879,0.20137669,0.0000351376,0.43887976,0.0713061,0.0606486],"study_design_scores_gemma":[0.008509274,0.004268735,0.23438887,0.00037347016,0.0002448449,0.0009194664,0.027257666,0.008500435,0.0007313293,0.104309335,0.6058189,0.004677615],"about_ca_topic_score_codex":0.69802445,"about_ca_topic_score_gemma":0.9792755,"teacher_disagreement_score":0.5345129,"about_ca_system_score_codex":0.015790123,"about_ca_system_score_gemma":0.0019902661,"threshold_uncertainty_score":0.99966264},"labels":[],"label_agreement":null},{"id":"W181637483","doi":"10.1093/0199248915.003.0013","title":"Stated‐Preference Methods for Valuing Environmental Amenities","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preference; Status quo; Valuation (finance); Orthogonality; Revealed preference; Environmental economics; Microeconomics; Computer science; Econometrics; Economics; Mathematics","score_opus":0.28698999125637187,"score_gpt":0.2692846803605392,"score_spread":0.01770531089583266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W181637483","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005542283,0.0024739872,0.09749608,0.00007389163,0.00038969325,0.00054739235,0.00067237724,0.00004785063,0.8977445],"genre_scores_gemma":[0.010341581,0.0044974047,0.034526188,0.00039282828,0.00018689639,0.0000957128,0.00063781795,0.00012830448,0.94919324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998203,0.000008286208,0.00081321184,0.0006491435,0.00002863943,0.00029771047],"domain_scores_gemma":[0.9989123,0.00012056477,0.00052236364,0.00035573836,0.0000036255626,0.00008542447],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005511426,0.0003620505,0.00060707185,0.00017996092,0.00012062444,0.00005979631,0.00021531609,0.00030431928,0.018445784],"category_scores_gemma":[0.00001230487,0.0004506932,0.00025686313,0.000008464936,0.000118211196,0.0002096226,0.00009556641,0.00018926256,0.0025468497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017422572,0.00003398071,0.0017173659,0.000038140275,0.00021609866,9.044676e-7,0.00020915348,0.00009206234,0.000021050368,0.9477921,0.0016442399,0.04821745],"study_design_scores_gemma":[0.00034309382,0.00008830824,0.0006310805,0.000016521655,0.000026741765,0.0000034371262,0.000057704074,0.0011724884,0.000043500582,0.33795375,0.6591429,0.0005204436],"about_ca_topic_score_codex":0.00003172959,"about_ca_topic_score_gemma":0.000004843177,"teacher_disagreement_score":0.6574987,"about_ca_system_score_codex":0.00048322405,"about_ca_system_score_gemma":0.000009371934,"threshold_uncertainty_score":0.9997945},"labels":[],"label_agreement":null},{"id":"W1819495476","doi":"","title":"Fire and recreation values in fire-prone forests: Exploring an intertemporal amenity function using pooled RP-SP data","year":2008,"lang":"en","type":"article","venue":"Journal of agricultural and resource economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Amenity; Recreation; Function (biology); Recreational use; Geography; Natural resource economics; Environmental science; Forestry; Environmental resource management; Economics; Ecology","score_opus":0.22595987881652382,"score_gpt":0.2279314238084641,"score_spread":0.0019715449919402717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1819495476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763906,0.0016312011,0.00007133782,0.00019804733,0.00017317971,0.000108441636,0.000025174286,0.000006026323,0.00014751677],"genre_scores_gemma":[0.9960093,0.0028967136,0.0006134011,0.000047144447,0.00028091203,0.0000023448001,0.00006218669,0.0000106903635,0.00007729298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875176,0.00002957861,0.00076222426,0.0002803118,0.000024399951,0.00015169878],"domain_scores_gemma":[0.9990535,0.000028737271,0.0006481775,0.0001522843,0.000012725952,0.00010462257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005616519,0.00014550031,0.00036346898,0.0000929909,0.00015645388,0.000066109285,0.00014650851,0.000091594986,0.000022015307],"category_scores_gemma":[0.000027555736,0.00012382859,0.000046658643,0.000053427753,0.00007142832,0.0018573818,0.00010459265,0.00018883761,0.0000048964694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015821187,0.00014822838,0.98283356,0.00002862806,0.0001255788,0.000004274658,0.0020086041,0.006190896,0.00015189793,0.00058633584,0.0002610064,0.0075027808],"study_design_scores_gemma":[0.000786124,0.00021157328,0.9787006,0.000038235252,0.000024287217,0.00016528607,0.0021527242,0.016048077,0.00002897398,0.001079381,0.0005732478,0.00019148615],"about_ca_topic_score_codex":0.00031321755,"about_ca_topic_score_gemma":0.00010030531,"teacher_disagreement_score":0.009857182,"about_ca_system_score_codex":0.00024089182,"about_ca_system_score_gemma":0.000009927052,"threshold_uncertainty_score":0.50495833},"labels":[],"label_agreement":null},{"id":"W1821274512","doi":"10.1139/cjfas-2012-0517","title":"Anticipating adaptation: a mechanistic approach for linking policy and stock status to recreational angler behavior","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fishing; Recreation; Fish stock; Fishery; Stock (firearms); Context (archaeology); Fisheries management; Catch per unit effort; Econometrics; Economics; Geography; Ecology; Biology","score_opus":0.15797679191016015,"score_gpt":0.24783584412155704,"score_spread":0.0898590522113969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1821274512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657055,0.00042767575,0.03078793,0.0008942157,0.00009284077,0.0002411854,0.000021063153,0.0000013309646,0.0018282447],"genre_scores_gemma":[0.9558047,0.000027741045,0.04368867,0.0002527261,0.00007996703,0.000027432125,0.0000036699687,0.00000468686,0.00011041623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993407,0.0000069907796,0.00030778866,0.00012925346,0.000028956021,0.00018630731],"domain_scores_gemma":[0.9994444,0.000061361825,0.00019784864,0.000035173533,0.0000144391015,0.00024676675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041312657,0.0000611615,0.0001444932,0.0001960483,0.00027341268,0.0002218641,0.000066906396,0.000026058737,0.00011954005],"category_scores_gemma":[0.00018804993,0.00006123676,0.000021792703,0.000100202524,0.00011852555,0.00035714707,0.00000762807,0.000033680044,0.0000034296806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037934922,0.000016602122,0.8927378,0.000024618746,0.000021941189,7.64193e-7,0.0055134203,0.0004275498,0.000021722071,0.04434948,0.00023571387,0.056646597],"study_design_scores_gemma":[0.00063982134,0.00081478694,0.7878893,0.00006634713,0.000026593632,0.000037613718,0.007246429,0.15165451,0.000011376873,0.048950262,0.0023114837,0.00035149785],"about_ca_topic_score_codex":0.006555728,"about_ca_topic_score_gemma":0.0008344951,"teacher_disagreement_score":0.15122695,"about_ca_system_score_codex":0.000080892554,"about_ca_system_score_gemma":0.00015774336,"threshold_uncertainty_score":0.9910344},"labels":[],"label_agreement":null},{"id":"W1824062931","doi":"10.1111/cjag.12010","title":"Benefit Transfer for Environmental Improvements in Coastal Areas: General versus Best‐Fitting Models","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Transfer (computing); Environmental resource management; Geography; Computer science","score_opus":0.06628649481730416,"score_gpt":0.1635637392610828,"score_spread":0.09727724444377865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1824062931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992468,0.00048393544,0.000101704594,0.0009256413,0.0015261004,0.00073520286,0.0010220754,0.0000049185446,0.00273243],"genre_scores_gemma":[0.9966706,0.00017285939,0.00055752456,0.00025455334,0.0005107828,0.00010406321,0.00020154948,0.000049915314,0.0014781252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99670523,0.000012611662,0.0017395145,0.0005558014,0.00000972372,0.0009771248],"domain_scores_gemma":[0.9979973,0.00007469205,0.00062902883,0.00023529607,0.00002935139,0.0010343591],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043300397,0.00039237706,0.00079959654,0.0004316162,0.00018996086,0.00018965085,0.0004867199,0.0002134365,0.0010088369],"category_scores_gemma":[0.000026854048,0.0004403382,0.0003866445,0.00006647226,0.0001043915,0.0017188856,0.000026868856,0.00026598715,0.00023185612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039588904,0.00039079768,0.40116072,0.00017847538,0.0015893065,0.000048339927,0.006121711,0.24104767,0.0006714285,0.31812203,0.002846884,0.027426764],"study_design_scores_gemma":[0.015644485,0.0023037884,0.8620162,0.00014352273,0.0001359084,0.00021544503,0.008847708,0.025379956,0.00028967304,0.06998528,0.012141741,0.0028962803],"about_ca_topic_score_codex":0.042863537,"about_ca_topic_score_gemma":0.43498844,"teacher_disagreement_score":0.4608555,"about_ca_system_score_codex":0.003171376,"about_ca_system_score_gemma":0.000133941,"threshold_uncertainty_score":0.9999044},"labels":[],"label_agreement":null},{"id":"W1844214193","doi":"10.1111/caje.12028","title":"The endowment effect and intertemporal choice: a laboratory investigation","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Intertemporal choice; Economics; Endowment effect; Endowment; Microeconomics; Econometrics","score_opus":0.13220512151890615,"score_gpt":0.16506964435597082,"score_spread":0.032864522837064675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1844214193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99269855,0.0014142272,0.000019353774,0.0033338265,0.0010446046,0.00038120683,0.000077255376,0.000004204157,0.0010267647],"genre_scores_gemma":[0.9981957,0.00024851144,0.00012232174,0.0006215985,0.00030399277,0.00005384039,0.000010423359,0.00003420959,0.00040941496],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981849,0.000049315335,0.0009975387,0.0002932948,0.0000013836404,0.00047356638],"domain_scores_gemma":[0.9976348,0.00020774681,0.0008464082,0.00028246685,0.0000404902,0.000988032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011599611,0.00021743217,0.00045272114,0.00030277457,0.00027739807,0.00029467593,0.00032843807,0.00012817797,0.00032433454],"category_scores_gemma":[0.00021755262,0.00022490535,0.00011877103,0.000063884756,0.00026089518,0.0007545422,0.000025012976,0.00025216417,0.00020393463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012137556,0.0000054753145,0.6692079,0.000025956466,0.0001639572,0.000006494497,0.000894532,0.00038142598,0.000021893382,0.32380232,0.002225895,0.003252008],"study_design_scores_gemma":[0.0021423905,0.0009734684,0.37971738,0.00008939524,0.00004078725,0.0001684977,0.0006926997,0.0052162413,0.00029332654,0.5469565,0.06283384,0.0008754894],"about_ca_topic_score_codex":0.11702219,"about_ca_topic_score_gemma":0.6750673,"teacher_disagreement_score":0.55804515,"about_ca_system_score_codex":0.0014813821,"about_ca_system_score_gemma":0.0002653381,"threshold_uncertainty_score":0.9171374},"labels":[],"label_agreement":null},{"id":"W1849751110","doi":"10.1111/j.1540-5982.2010.01630.x","title":"Regulating altruistic agents","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Altruism (biology); Externality; Economics; Microeconomics; Welfare; Population; Public economics; Social psychology; Psychology; Medicine; Market economy","score_opus":0.4224629770671515,"score_gpt":0.17907342280848382,"score_spread":0.2433895542586677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1849751110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715893,0.00040727993,0.00026372226,0.000263914,0.0018390699,0.00017337366,0.00016503116,0.0000066041853,0.025291706],"genre_scores_gemma":[0.9962443,0.00010346665,0.001714871,0.0005076691,0.00039860362,0.000010325634,0.000016245145,0.000062612475,0.0009418711],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99740785,0.000024521414,0.0014836027,0.000401527,0.0000011900462,0.0006813133],"domain_scores_gemma":[0.9969327,0.000045507106,0.0012998662,0.00041154103,0.000040739054,0.0012696651],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00097373995,0.00026310264,0.00066420477,0.000687285,0.00017689075,0.00007536485,0.00053463574,0.00018425182,0.0033083982],"category_scores_gemma":[0.00018127616,0.00037159264,0.0002627562,0.000089831155,0.00015938707,0.00059485825,0.000024635021,0.00026273433,0.00048111146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019988314,0.000017381175,0.23258981,0.00001826387,0.00013559783,0.000038797156,0.002194934,0.0010858859,0.0000019662127,0.762451,0.00057594245,0.00087044475],"study_design_scores_gemma":[0.0011089812,0.0003700137,0.14947888,0.000064689266,0.000037015907,0.0003457238,0.0006151503,0.0030866505,0.00011990876,0.8252685,0.01874113,0.0007633402],"about_ca_topic_score_codex":0.09453073,"about_ca_topic_score_gemma":0.6129849,"teacher_disagreement_score":0.5184542,"about_ca_system_score_codex":0.001987687,"about_ca_system_score_gemma":0.00035821061,"threshold_uncertainty_score":0.9998736},"labels":[],"label_agreement":null},{"id":"W1854952045","doi":"10.1002/wrcr.20447","title":"Assessing the extent of altruism in the valuation of community drinking water quality improvements","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; University of Alberta; University of Saskatchewan","funders":"","keywords":"Altruism (biology); Valuation (finance); Water quality; Natural resource economics; Environmental science; Contingent valuation; Quality (philosophy); Environmental economics; Economics; Actuarial science; Environmental planning; Microeconomics; Willingness to pay; Social psychology; Psychology; Ecology; Finance; Biology","score_opus":0.40608104666638645,"score_gpt":0.37729761378993504,"score_spread":0.02878343287645141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854952045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940589,0.00007744551,0.00007982182,0.0010832144,0.000033849425,0.0004656634,0.0000031479283,0.0000025094375,0.004195452],"genre_scores_gemma":[0.99951714,0.000020404266,0.000034865167,0.000085359534,0.000022998756,0.00008588904,0.000021292057,0.000009088404,0.00020293043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790853,0.0008099863,0.0006854659,0.00013734605,0.00016152392,0.00029716615],"domain_scores_gemma":[0.99909264,0.00021546935,0.0001372977,0.0005011472,0.000034048753,0.000019420322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013867738,0.00007356649,0.00018842767,0.00015059783,0.00026428967,0.00011875296,0.000524936,0.000051992625,0.0004380181],"category_scores_gemma":[0.000064600456,0.00003902676,0.000057591336,0.00008209335,0.00021967595,0.00029274684,0.0002755009,0.00037092488,0.00019978457],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013384295,0.000409573,0.84228754,0.00011477702,0.000052458545,1.8856052e-7,0.115564734,0.0006910146,0.030008722,0.0027611114,0.000081489736,0.008015013],"study_design_scores_gemma":[0.00031614662,0.000058960562,0.93378663,0.000013232084,0.000001697999,2.73116e-7,0.008683627,0.0010983753,0.014412732,0.040867932,0.000695539,0.0000648817],"about_ca_topic_score_codex":0.011846115,"about_ca_topic_score_gemma":0.000076872675,"teacher_disagreement_score":0.106881104,"about_ca_system_score_codex":0.000104761035,"about_ca_system_score_gemma":0.0000032451655,"threshold_uncertainty_score":0.9947341},"labels":[],"label_agreement":null},{"id":"W1863553207","doi":"10.7717/peerj.1185","title":"Effects of disputes and easement violations on the cost-effectiveness of land conservation","year":2015,"lang":"en","type":"article","venue":"PeerJ","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Easement; Business; Investment (military); Natural resource economics; Environmental resource management; Land use; Biodiversity; Environmental planning; Economics; Geography; Ecology; Law; Political science","score_opus":0.13455890479696755,"score_gpt":0.23873499979488338,"score_spread":0.10417609499791583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1863553207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963363,0.00029270246,0.0013811758,0.00027164363,0.000067669454,0.0003220335,0.000029548646,0.0000029207235,0.0012960089],"genre_scores_gemma":[0.9997501,0.000037001806,0.00005319049,0.000052448748,0.00000913392,0.000039535822,0.000014122265,0.000003838697,0.00004066859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966246,0.000025592857,0.00016050704,0.00008780412,0.000019020852,0.000044600674],"domain_scores_gemma":[0.9994522,0.00030537217,0.00013111162,0.000081302445,0.000009125986,0.00002090109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005247558,0.00004230795,0.00012286987,0.00003158195,0.00002111032,0.0000051941915,0.000035065037,0.00002045381,0.000017356642],"category_scores_gemma":[0.00012693442,0.000036716316,0.000020004998,0.000031766886,0.000041733678,0.000053622174,0.00001692077,0.00002303468,0.000022307055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001800448,0.000056572273,0.93239254,0.00004629295,0.000020377063,5.3792345e-8,0.0001578672,0.00035412234,0.00018878517,0.066372536,0.00011404766,0.00027881187],"study_design_scores_gemma":[0.00051443995,0.000079712365,0.98153216,0.000021558497,0.000006205032,1.4362001e-7,0.000024615374,0.002981612,0.0028860914,0.011522864,0.00038980783,0.00004077387],"about_ca_topic_score_codex":0.0001761494,"about_ca_topic_score_gemma":0.000006656759,"teacher_disagreement_score":0.05484967,"about_ca_system_score_codex":0.000037511578,"about_ca_system_score_gemma":0.0000044693847,"threshold_uncertainty_score":0.1497248},"labels":[],"label_agreement":null},{"id":"W1871495835","doi":"10.1111/j.1540-5982.2011.01690.x","title":"Willingness‐to‐pay for parallel private health insurance: evidence from a laboratory experiment","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta; McMaster University; York University","funders":"Canadian Institutes of Health Research; Universität Innsbruck; Universität Regensburg; McMaster University","keywords":"Willingness to pay; Preference; Health insurance; Health care; Public health insurance; Actuarial science; Private insurance; Private sector; Public economics; Affect (linguistics); Business; Public health; Economics; Psychology; Medicine; Microeconomics; Nursing; Economic growth","score_opus":0.3075197801773619,"score_gpt":0.22144036793494648,"score_spread":0.08607941224241544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1871495835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98400414,0.004593423,0.0031241705,0.003357832,0.0027194694,0.00063985423,0.0014605145,0.000007253269,0.00009337028],"genre_scores_gemma":[0.9873655,0.00057945686,0.008567362,0.0019453403,0.0011617395,0.00011108876,0.00003856683,0.000076144475,0.00015479325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99684405,0.000040919873,0.0016161554,0.00046295128,0.0000024982523,0.0010334462],"domain_scores_gemma":[0.99550074,0.00016668672,0.0013619035,0.0004651239,0.000051719846,0.0024538178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001710574,0.00032026254,0.00092133036,0.00042466118,0.00023137288,0.000112679336,0.00053325255,0.00016856461,0.00041024154],"category_scores_gemma":[0.0002557448,0.00039462905,0.00024411,0.000105981875,0.00007857251,0.0011351154,0.000028633893,0.00023985433,0.00021172923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009253264,0.00004978203,0.798114,0.00004864532,0.00020357243,0.0000039019046,0.005982047,0.008715477,0.000033965433,0.18345626,0.0019569928,0.0013427992],"study_design_scores_gemma":[0.0033234651,0.0015871084,0.59055704,0.0005452597,0.00003885781,0.00006413976,0.0013095365,0.0022581727,0.0006795012,0.17274404,0.22477002,0.0021228301],"about_ca_topic_score_codex":0.059202343,"about_ca_topic_score_gemma":0.33864748,"teacher_disagreement_score":0.27944514,"about_ca_system_score_codex":0.0042003677,"about_ca_system_score_gemma":0.000747773,"threshold_uncertainty_score":0.9998506},"labels":[],"label_agreement":null},{"id":"W1872222798","doi":"10.1139/cjfas-2014-0543","title":"Spatial delay-difference models for estimating spatiotemporal variation in juvenile production and population abundance","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Abundance (ecology); Spatial variability; Population; Covariate; Spatial ecology; Spatial distribution; Ecology; Population model; Statistics; Spatial heterogeneity; Variance (accounting); Environmental science; Geography; Econometrics; Mathematics; Biology; Demography","score_opus":0.11830340592097083,"score_gpt":0.22576767030369557,"score_spread":0.10746426438272474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1872222798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95268923,0.00042832753,0.045188945,0.0010532651,0.00039689298,0.000103571256,0.00000558806,0.0000011545244,0.0001330077],"genre_scores_gemma":[0.9798446,0.000015136119,0.019984577,0.00003948108,0.000074358984,0.000003900564,0.0000022838765,0.00000323602,0.00003241885],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934316,0.000010477811,0.00037249312,0.00013355531,0.000031393214,0.00010890824],"domain_scores_gemma":[0.99949926,0.000024796394,0.0003231163,0.000035308814,0.000010569058,0.00010693881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010305452,0.000053983138,0.00014797015,0.00013596936,0.000121480734,0.00010823238,0.00005743759,0.000029916884,0.0000075055323],"category_scores_gemma":[0.0003013632,0.000056757493,0.000013221569,0.00006901716,0.000098777076,0.00063508254,0.000004908339,0.000037856757,6.2662707e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066205816,0.000006289418,0.9742957,0.000012235312,0.000003962402,5.072267e-7,0.0029478872,0.007850072,0.000003476268,0.004833762,0.0000653316,0.009974164],"study_design_scores_gemma":[0.0001995728,0.00012659882,0.39335048,0.000029618237,0.0000027669837,0.000009368672,0.00030153652,0.4940045,0.00000276339,0.1118567,0.000042458705,0.00007364875],"about_ca_topic_score_codex":0.022491014,"about_ca_topic_score_gemma":0.023020318,"teacher_disagreement_score":0.5809452,"about_ca_system_score_codex":0.00010667572,"about_ca_system_score_gemma":0.00010431921,"threshold_uncertainty_score":0.994807},"labels":[],"label_agreement":null},{"id":"W1873894485","doi":"","title":"Mixed Logit Specifications for Testing Preference Stability: A Four-Wave Panel Analysis","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stability (learning theory); Mixed logit; Preference; Econometrics; Statistics; Logit; Logistic regression; Computer science; Mathematics; Machine learning","score_opus":0.8991726673973495,"score_gpt":0.262786644053516,"score_spread":0.6363860233438334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1873894485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7214808,0.00009103395,0.2423594,0.0003811702,0.00010983912,0.00032724882,0.0001686717,0.000041399362,0.035040434],"genre_scores_gemma":[0.9568691,0.000007737971,0.041669887,0.00006259542,0.00004846859,0.000095031326,0.00008651357,0.000010622564,0.0011500465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989051,0.000010541939,0.0004865071,0.00039091485,0.00002316306,0.00018376794],"domain_scores_gemma":[0.99913526,0.00016549006,0.00022817103,0.00034013734,0.000031655036,0.00009930629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072289526,0.00010044516,0.0002698652,0.00013843717,0.000070734975,0.000044064596,0.00010191715,0.00005747157,0.0005551292],"category_scores_gemma":[0.00041840624,0.000114225826,0.000108369066,0.00026930321,0.00004136286,0.00019152522,0.000040396,0.00004647775,0.00045866988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011343524,0.00013662713,0.871118,0.000011134237,0.00024118736,2.604707e-7,0.0003657216,0.0022785203,0.000062990985,0.12249851,0.0008418405,0.0024338379],"study_design_scores_gemma":[0.00077161967,0.00011374603,0.76171976,0.0000023157543,0.00010936433,0.0000015113336,0.0008143573,0.14831349,0.0003065279,0.08212775,0.0053500314,0.00036952744],"about_ca_topic_score_codex":0.00017080805,"about_ca_topic_score_gemma":0.00008445395,"teacher_disagreement_score":0.2353883,"about_ca_system_score_codex":0.0002132011,"about_ca_system_score_gemma":0.000016909282,"threshold_uncertainty_score":0.60782754},"labels":[],"label_agreement":null},{"id":"W1878053330","doi":"10.1111/cobi.12209","title":"Voting Systems for Environmental Decisions","year":2014,"lang":"en","type":"review","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Voting; Bullet voting; Cardinal voting systems; Outcome (game theory); Approval voting; Anti-plurality voting; Computer science; Disapproval voting; Social choice theory; Pareto principle; Aggregate (composite); Transitive relation; Microeconomics; Economics; Political science; Mathematics; Operations management","score_opus":0.30908841357086586,"score_gpt":0.300257553484064,"score_spread":0.00883086008680184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1878053330","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009019722,0.96768,0.028405482,0.000054509954,0.0010096676,0.0009081514,0.00084739766,0.00002478374,0.0009798569],"genre_scores_gemma":[0.0005756333,0.9941063,0.0004346171,0.00018551666,0.00025734343,0.00047917126,0.002471513,0.000045952413,0.0014439308],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99794495,0.000054764205,0.0012179742,0.00053966366,0.000011673183,0.00023098425],"domain_scores_gemma":[0.99799865,0.0005881086,0.0010772614,0.00027887378,0.000004032822,0.00005308532],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007539322,0.0002495984,0.0012753943,0.00017568092,0.0001315524,0.0000344531,0.0002196982,0.00041859073,0.00018804477],"category_scores_gemma":[0.00019973172,0.00026785265,0.00031812885,0.00004954436,0.00007863848,0.00007106368,0.00006242407,0.000117026524,0.0018568621],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004499444,0.00007665274,0.017232778,0.0019044017,0.0002912161,2.5990443e-7,0.000029265495,0.000038975286,6.38924e-7,0.41252944,0.0065468415,0.56134504],"study_design_scores_gemma":[0.00020079255,0.000045248384,0.0003233637,0.00028233457,0.0000462743,0.000004966717,0.0000065541576,0.0018040927,4.339962e-8,0.0012311196,0.99578387,0.0002713547],"about_ca_topic_score_codex":0.00002283408,"about_ca_topic_score_gemma":0.000002227621,"teacher_disagreement_score":0.989237,"about_ca_system_score_codex":0.0002662107,"about_ca_system_score_gemma":0.000019139956,"threshold_uncertainty_score":0.99997735},"labels":[],"label_agreement":null},{"id":"W1882962089","doi":"10.1111/j.1467-8489.2011.00552.x","title":"Predicting versus testing: a conditional cross-forecasting accuracy measure for hypothetical bias*","year":2011,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome Canada; Agriculture Food and Rural Development; University of Alberta","funders":"Genome Alberta; Genome Canada; Alberta Crop Industry Development Fund","keywords":"Measure (data warehouse); Econometrics; Context (archaeology); Preference; Statistics; Divergence (linguistics); Computer science; Mathematics; Data mining","score_opus":0.3925589470092689,"score_gpt":0.250860995632072,"score_spread":0.14169795137719693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1882962089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960908,0.00014155114,0.000083071056,0.00029245586,0.00032436562,0.00015455637,0.00011143089,0.000009587922,0.0027921777],"genre_scores_gemma":[0.995661,0.00002418763,0.0033609658,0.00004327661,0.00045608703,0.0000066123303,0.00002124723,0.000015577505,0.00041102158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984851,0.000014904115,0.0009580564,0.00024385545,0.00002970303,0.00026837745],"domain_scores_gemma":[0.9983359,0.000271325,0.0010790423,0.00008195761,0.000055941884,0.00017583145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072084035,0.0001783221,0.00035383838,0.00007850413,0.0001975307,0.00010278006,0.00017556909,0.00013765959,0.00013047055],"category_scores_gemma":[0.00044543718,0.0001496545,0.00018067534,0.00005101804,0.00014137533,0.00048465194,0.000038063783,0.00021353507,0.000023742828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004295356,0.0001582683,0.9711764,0.000057093228,0.0004138166,0.0000043840105,0.0017339212,0.0043765856,0.00011011734,0.017401498,0.0011646745,0.0029736964],"study_design_scores_gemma":[0.002535544,0.000579617,0.98590654,0.00004164203,0.000044940807,0.0002846486,0.0010032057,0.00046017263,0.0003487445,0.0057779867,0.0026938827,0.00032307228],"about_ca_topic_score_codex":0.000019311097,"about_ca_topic_score_gemma":0.0000044052404,"teacher_disagreement_score":0.014730134,"about_ca_system_score_codex":0.00011566481,"about_ca_system_score_gemma":0.000015896045,"threshold_uncertainty_score":0.6102733},"labels":[],"label_agreement":null},{"id":"W1888132101","doi":"10.1111/j.1468-0297.2012.02545.x","title":"How many types are there?","year":2012,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council","keywords":"Microdata (statistics); Revealed preference; Preference; Econometrics; Partition (number theory); Parametric statistics; Data set; Computer science; Set (abstract data type); Mathematics; Mathematical economics; Statistics; Combinatorics","score_opus":0.08767437343633254,"score_gpt":0.20256680112779052,"score_spread":0.11489242769145798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1888132101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618151,0.005434508,0.0008759289,0.004533276,0.0016689718,0.00009054309,0.000026658156,0.000014076446,0.025540914],"genre_scores_gemma":[0.9922798,0.00058563397,0.00014408838,0.0003562955,0.001307944,0.000006304153,0.0000022177026,0.000023888753,0.0052938256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915457,0.00002281468,0.00034525117,0.00013332868,0.000015319645,0.0003286909],"domain_scores_gemma":[0.99909866,0.000033758588,0.0005204354,0.00023541645,0.0000027709061,0.000108959706],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010654171,0.00012178792,0.00022135967,0.00006285345,0.0002269553,0.00017866715,0.00027307525,0.000058660964,0.00244491],"category_scores_gemma":[0.000017375296,0.000102613754,0.00012720696,0.000018903589,0.000063033134,0.0006687613,0.000051970645,0.00021233798,0.006317507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000101779515,0.000039255283,0.82307285,0.0000041676954,0.00014661328,0.0000010545003,0.0005353325,0.00050853175,0.000011945429,0.16388433,0.01008291,0.0017028135],"study_design_scores_gemma":[0.00057230936,0.000030508854,0.79105014,0.0000078678695,0.000017622324,0.00015161619,0.0009628682,0.0011133557,0.00008269952,0.043324593,0.16237159,0.0003148396],"about_ca_topic_score_codex":0.000019542917,"about_ca_topic_score_gemma":0.0000053646118,"teacher_disagreement_score":0.15228868,"about_ca_system_score_codex":0.0004429579,"about_ca_system_score_gemma":0.000010245405,"threshold_uncertainty_score":0.99846697},"labels":[],"label_agreement":null},{"id":"W1900813739","doi":"10.1111/cobi.12632","title":"A typology of time‐scale mismatches and behavioral interventions to diagnose and solve conservation problems","year":2015,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Division of Behavioral and Cognitive Sciences; Division of Environmental Biology; National Science Foundation","keywords":"Salience (neuroscience); Typology; Framing (construction); Perception; Temporal scales; Management science; Psychology; Environmental resource management; Ecology; Cognitive psychology; Economics; Sociology; Geography","score_opus":0.24725152095376363,"score_gpt":0.2938393673385882,"score_spread":0.04658784638482455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1900813739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99344045,0.0006388064,0.0016409821,0.0033751754,0.00010355143,0.00024876144,0.00007687885,0.0000129711325,0.0004624444],"genre_scores_gemma":[0.9962557,0.00012579848,0.002508712,0.0006453366,0.00001626401,0.000055856653,0.00010316392,0.000007735767,0.00028141987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992167,0.000022805638,0.00042879215,0.0002203357,0.000009146718,0.00010223664],"domain_scores_gemma":[0.9995127,0.000068242785,0.00022045708,0.000105562234,0.000024982392,0.0000680714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003909399,0.00007764647,0.00022538203,0.00010940119,0.0000337931,0.000010629915,0.00004952191,0.00009939146,0.00011845924],"category_scores_gemma":[0.00009739872,0.00009174625,0.000029584928,0.000058889855,0.00015867461,0.00011479513,0.00006190695,0.00003911595,0.000097431046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010886865,0.00006034307,0.97974795,0.000024220264,0.000010648096,8.7475456e-8,0.0007262276,0.000008288754,0.0007319842,0.017131498,0.0011297052,0.00041814928],"study_design_scores_gemma":[0.0012528312,0.0007518867,0.9407199,0.000038278045,0.000020860654,0.000008217053,0.00056453614,0.0012494334,0.00038305478,0.048765298,0.0060146083,0.00023107354],"about_ca_topic_score_codex":0.00083420187,"about_ca_topic_score_gemma":0.00045107186,"teacher_disagreement_score":0.039028037,"about_ca_system_score_codex":0.000041734238,"about_ca_system_score_gemma":0.000013004431,"threshold_uncertainty_score":0.37413037},"labels":[],"label_agreement":null},{"id":"W1902346276","doi":"10.1080/00071668.2015.1058917","title":"Developing logistic regression models using purchase attributes and demographics to predict the probability of purchases of regular and specialty eggs","year":2015,"lang":"en","type":"article","venue":"British Poultry Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Industry Canada","keywords":"Purchasing; Demographics; Logistic regression; Marketing; Table (database); Specialty; Welfare; Business; Agricultural science; Statistics; Biology; Demography; Economics; Mathematics; Psychology; Computer science; Database","score_opus":0.27616208052697966,"score_gpt":0.2916114366463064,"score_spread":0.01544935611932674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1902346276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97596,0.0013421018,0.021889374,0.00022933376,0.00007391348,0.0002556138,0.000093904826,0.0000056410254,0.00015008848],"genre_scores_gemma":[0.98987806,0.00023645924,0.009797789,0.000044264194,0.000019723824,0.000005253287,0.0000028563277,0.0000046053674,0.000010965973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990013,0.000016650038,0.00039869657,0.00033744323,0.00007991237,0.00016597367],"domain_scores_gemma":[0.9993864,0.00004536111,0.00023247045,0.00018310297,0.00004893054,0.00010371992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017233304,0.00007349209,0.00020770472,0.0000862066,0.00014347103,0.000051788888,0.00018435274,0.000041787647,0.0000041622307],"category_scores_gemma":[0.0005612984,0.00007545003,0.00002138929,0.00028074428,0.0009064231,0.00040442302,0.00017994858,0.00005045292,7.4548643e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008934369,0.000031085827,0.9676735,0.000038032078,0.000004773501,6.913547e-7,0.00028784646,0.0032888,0.00011994211,0.025603902,0.000026673752,0.0029158483],"study_design_scores_gemma":[0.00037151627,0.00008820676,0.82484347,0.00014700142,0.0000070035167,0.000036360056,0.00049952243,0.026587103,0.00028590584,0.14689282,0.00007300089,0.00016810987],"about_ca_topic_score_codex":0.00042812855,"about_ca_topic_score_gemma":0.000028346934,"teacher_disagreement_score":0.14283003,"about_ca_system_score_codex":0.000088729365,"about_ca_system_score_gemma":0.00006033742,"threshold_uncertainty_score":0.33397537},"labels":[],"label_agreement":null},{"id":"W1907326049","doi":"10.1002/atr.1273","title":"Whether to enter expressway or not? The impact of new variable message sign information","year":2014,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Shanghai Municipal People's Government; University of Shanghai for Science and Technology; National Natural Science Foundation of China","keywords":"Respondent; Transport engineering; Service (business); Sign (mathematics); Mixed logit; Preference; Nested logit; Logit; Variables; Variable (mathematics); Binary logit model; Logistic regression; Engineering; Computer science; Business; Econometrics; Statistics; Marketing; Mathematics","score_opus":0.03419876959064036,"score_gpt":0.23286324818791726,"score_spread":0.1986644785972769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907326049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83860993,0.0000396468,0.16004266,0.0001662779,0.00017049993,0.00013682776,0.000039271144,0.0000031354587,0.0007917359],"genre_scores_gemma":[0.9930913,0.00005888099,0.006391695,0.00016442125,0.00006404124,0.0000033391916,0.000014543442,0.000008367185,0.00020342461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990196,0.000010892025,0.0007608799,0.00006781375,0.000046975587,0.0000938412],"domain_scores_gemma":[0.9989455,0.000045643385,0.0008097699,0.00011233211,0.000027930062,0.000058859732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047780637,0.000081008635,0.00021815235,0.00010435154,0.00002995449,0.000018167888,0.00011581081,0.00003937246,0.00055957073],"category_scores_gemma":[0.00004410427,0.000058808248,0.00011185673,0.000085965585,0.000012217892,0.0011038042,0.000002116763,0.00007825451,0.000048062066],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000875496,0.00007993009,0.037883878,0.000029092704,0.00012329733,3.2325096e-7,0.008347579,0.927044,0.0031601584,0.0080776885,0.0012837095,0.013094849],"study_design_scores_gemma":[0.0015284974,0.0005253312,0.9795787,0.000039932052,0.000017956949,0.0000019922666,0.00033953172,0.0005541452,0.0013174702,0.0056557287,0.0103157675,0.0001249931],"about_ca_topic_score_codex":0.00007421693,"about_ca_topic_score_gemma":0.000008511712,"teacher_disagreement_score":0.9416948,"about_ca_system_score_codex":0.00007634103,"about_ca_system_score_gemma":0.000021743786,"threshold_uncertainty_score":0.6126907},"labels":[],"label_agreement":null},{"id":"W1908748014","doi":"","title":"The Economic Benefits of Malaria Prevention: A Contingent Valuation Study in Marracuene, Mozambique","year":2003,"lang":"en","type":"article","venue":"World health & population","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Malaria; Willingness to pay; Respondent; Socioeconomics; Revenue; Environmental health; Cost–benefit analysis; Economic cost; Economics; Geography; Medicine; Biology; Political science; Ecology","score_opus":0.12476050734396472,"score_gpt":0.2960184915561914,"score_spread":0.1712579842122267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1908748014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942085,0.0012120636,0.00029313637,0.0007848818,0.00042295354,0.0011548852,0.000011993073,0.000010655055,0.0019009036],"genre_scores_gemma":[0.9984892,0.00017467789,0.00034592213,0.00008803258,0.000038509,0.00010495148,0.000045439017,0.000016183012,0.0006970684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980498,0.00015005653,0.0012434381,0.00029781112,0.000041489253,0.0002173988],"domain_scores_gemma":[0.9987654,0.000058894188,0.00086782774,0.00025583536,0.000008039559,0.000044001215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030842947,0.00011152591,0.0002947335,0.0001948818,0.00017455564,0.000026997855,0.000088098044,0.000042002142,0.00016594706],"category_scores_gemma":[0.000048681108,0.00012286715,0.000059300273,0.00013706491,0.000016196047,0.00020551712,0.000018271074,0.00009717051,0.00009033636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010006659,0.00007714878,0.7757797,0.000007991355,0.000010205082,2.969855e-8,0.00030060668,0.010250942,3.4704888e-7,0.21096331,0.000044026438,0.0025556406],"study_design_scores_gemma":[0.00078948383,0.00010060593,0.9725702,0.000018849818,0.0000035308055,3.7813882e-7,0.00018543313,0.003006582,0.0000055228365,0.022368062,0.00085106166,0.00010032565],"about_ca_topic_score_codex":0.0023534142,"about_ca_topic_score_gemma":0.015414112,"teacher_disagreement_score":0.19679041,"about_ca_system_score_codex":0.0009189321,"about_ca_system_score_gemma":0.000043025502,"threshold_uncertainty_score":0.86014366},"labels":[],"label_agreement":null},{"id":"W1910084389","doi":"10.1111/j.1539-6924.2010.01477.x","title":"The Challenge of Degraded Environments: How Common Biases Impair Effective Policy","year":2010,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Land reclamation; Climate change; Environmental resource management; Work (physics); Environmental science; Risk analysis (engineering); Ecosystem services; Ecosystem; Environmental planning; Natural (archaeology); Range (aeronautics); Natural resource economics; Computer science; Business; Engineering; Ecology; Geography; Economics","score_opus":0.037697345199527256,"score_gpt":0.22775318624595944,"score_spread":0.1900558410464322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1910084389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548817,0.0008501763,0.0006291176,0.0009535372,0.00006984847,0.000162911,0.00015227225,0.000009005472,0.001684969],"genre_scores_gemma":[0.99742776,0.0019709065,0.00009901715,0.000021593536,0.00007422027,0.000039006798,0.000034144578,0.0000127400945,0.00032059153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909675,0.00004484774,0.00035987652,0.00027572562,0.00003690284,0.00018588942],"domain_scores_gemma":[0.9986224,0.0002572781,0.00055969023,0.0004995488,0.0000030784554,0.00005795723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006753209,0.0001265032,0.00038422513,0.00025631045,0.0001933829,0.00003359131,0.00020935839,0.00008381308,0.00021262618],"category_scores_gemma":[0.00017708479,0.00010959445,0.00034421173,0.00029968476,0.00015472353,0.00012786036,0.000057378234,0.00017496129,0.00019131239],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007914897,0.00011167786,0.9727156,0.0000027438687,0.0010422994,2.9016437e-7,0.00028338502,0.0008689777,0.00010997,0.014697163,0.000051956762,0.010108001],"study_design_scores_gemma":[0.0003045924,0.00006858885,0.97594905,0.0000014041302,0.00023218217,2.8283714e-7,0.00012978766,0.008013349,0.0005186757,0.011272436,0.003360118,0.00014951895],"about_ca_topic_score_codex":0.0015133532,"about_ca_topic_score_gemma":0.00080772914,"teacher_disagreement_score":0.009958481,"about_ca_system_score_codex":0.00009603611,"about_ca_system_score_gemma":0.0000042385636,"threshold_uncertainty_score":0.4469132},"labels":[],"label_agreement":null},{"id":"W1911703894","doi":"10.1002/atr.1264","title":"Investigating the joint choice behavior of intercity transport mode and high‐speed rail cabin with a strategy map","year":2014,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Council","keywords":"Joint (building); Mode (computer interface); Mode choice; Transport engineering; Automotive engineering; Computer science; Engineering; Public transport; Structural engineering; Human–computer interaction","score_opus":0.0477936685487304,"score_gpt":0.22593780401542887,"score_spread":0.17814413546669847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1911703894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99189717,0.00013531033,0.0074127675,0.0002119942,0.00009424497,0.00014195954,0.000037018875,0.0000038638555,0.00006569112],"genre_scores_gemma":[0.99656886,0.00006820792,0.0032023254,0.000052739626,0.000039272705,0.0000049312357,0.000021818714,0.00001349828,0.0000283741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890053,0.000013531177,0.00079851504,0.00013617045,0.000053709926,0.00009756712],"domain_scores_gemma":[0.9988245,0.000034829267,0.00095898786,0.000095874144,0.000030434303,0.000055413955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000391458,0.00010349884,0.00030524714,0.00007516583,0.00004738984,0.000009677612,0.00007645236,0.000043499604,0.000037538524],"category_scores_gemma":[0.000012538863,0.00008515704,0.00006406387,0.00005555849,0.00009964076,0.00042821025,0.0000013012612,0.00014758823,0.0000019758024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000676053,0.000110228306,0.81817174,0.000088083965,0.000062892075,0.0000016915667,0.0030216563,0.15924728,0.0053345426,0.009276998,0.000006248392,0.004611012],"study_design_scores_gemma":[0.0012196653,0.00028850033,0.9922051,0.000050493814,0.00004374597,0.00000382311,0.00040357324,0.00066031807,0.0012437471,0.003698789,0.000082244005,0.000100032696],"about_ca_topic_score_codex":0.00020068359,"about_ca_topic_score_gemma":0.0002719065,"teacher_disagreement_score":0.1740333,"about_ca_system_score_codex":0.00004410781,"about_ca_system_score_gemma":0.000013114473,"threshold_uncertainty_score":0.34726033},"labels":[],"label_agreement":null},{"id":"W1919681520","doi":"","title":"Identification of Counterfactuals and Payoffs in Dynamic Discrete Choice with an Application to Land Use","year":2015,"lang":"en","type":"preprint","venue":"Toulouse Capitole Publications (University Toulouse 1 Capitole)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Counterfactual conditional; Econometrics; Identification (biology); Economics; Context (archaeology); Nonparametric statistics; Discrete choice; Identifiability; Microeconomics; Mathematical economics; Computer science; Counterfactual thinking","score_opus":0.0462554779391092,"score_gpt":0.22674575144600148,"score_spread":0.18049027350689228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919681520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750321,0.00031319942,0.019856298,0.00118792,0.00013617022,0.0014087124,0.0016688535,0.0001104758,0.0002862882],"genre_scores_gemma":[0.9953364,0.00046024178,0.0013306405,0.00008078613,0.00005135398,0.000081144506,0.0011489401,0.00007066713,0.0014398154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972408,0.00008568002,0.0008864931,0.001270735,0.00014277102,0.0003735378],"domain_scores_gemma":[0.9968045,0.0000900555,0.0011181282,0.0014741491,0.00017235515,0.0003408552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00076404324,0.00040110122,0.000729248,0.0011739008,0.00015845455,0.00024341478,0.0007199916,0.0003998941,0.0000612244],"category_scores_gemma":[0.000106378306,0.00052711973,0.00008518675,0.0005070519,0.00020187929,0.0015155333,0.0004678471,0.00040577925,0.0001668237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020780023,0.0012792717,0.91662896,0.000342532,0.0003055366,0.0000043701125,0.01255523,0.03803604,0.00040978455,0.026733305,0.0013399781,0.0021571948],"study_design_scores_gemma":[0.0017527755,0.00020447456,0.92515975,0.0000810497,0.000106698244,0.0000082200995,0.0019158382,0.057632472,0.00008091071,0.004253583,0.007683958,0.0011202708],"about_ca_topic_score_codex":0.005502542,"about_ca_topic_score_gemma":0.0046792575,"teacher_disagreement_score":0.022479722,"about_ca_system_score_codex":0.0010216576,"about_ca_system_score_gemma":0.0001381447,"threshold_uncertainty_score":0.999718},"labels":[],"label_agreement":null},{"id":"W1921317864","doi":"10.1080/08941920.2015.1020976","title":"Eliciting Values and Principles of Fishery Stakeholders in South Korea: A Methodological Exploration","year":2015,"lang":"en","type":"article","venue":"Society & Natural Resources","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Stakeholder; sort; Corporate governance; Resource (disambiguation); Natural resource; Process (computing); Value (mathematics); Sorting; Exploratory research; Salient; Environmental resource management; Empirical research; Business; Management science; Sociology; Knowledge management; Computer science; Political science; Public relations; Economics; Social science; Management; Epistemology; Law","score_opus":0.5065452054366867,"score_gpt":0.2943118275855973,"score_spread":0.21223337785108937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921317864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943031,0.0032467404,0.00032005718,0.00026962117,0.00006597839,0.000113847746,0.000013895654,0.00001475459,0.001652013],"genre_scores_gemma":[0.9941454,0.00018360345,0.0052648266,0.00012340053,0.00004691296,0.000009211232,0.000013836294,0.000008675483,0.00020413811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910915,0.000044957585,0.00040899575,0.0002482557,0.000042270687,0.00014636018],"domain_scores_gemma":[0.99946386,0.00011747869,0.00027018433,0.00009389312,0.000009050772,0.000045516397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013902083,0.00009508918,0.00026118592,0.000043604443,0.0000436431,0.000027713922,0.00007895787,0.000096567754,0.000016118123],"category_scores_gemma":[0.00028692905,0.00009439423,0.00008794998,0.000089348854,0.000119360026,0.0002714588,0.00006624287,0.00013634606,0.000008901679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040321047,0.000055664295,0.9094265,0.0000529593,0.00006410123,7.253861e-7,0.07719885,0.0027026683,0.0002077057,0.0045561227,0.0002742136,0.0054201726],"study_design_scores_gemma":[0.0021199805,0.00020215476,0.7982608,0.00006513994,0.00001768843,0.000002557377,0.09067886,0.033324245,0.00054531515,0.071017414,0.0032337322,0.00053207774],"about_ca_topic_score_codex":0.00008771574,"about_ca_topic_score_gemma":0.000008852631,"teacher_disagreement_score":0.111165665,"about_ca_system_score_codex":0.000097073884,"about_ca_system_score_gemma":0.0000059519007,"threshold_uncertainty_score":0.3849285},"labels":[],"label_agreement":null},{"id":"W1929128907","doi":"10.1002/047147844x.wr157","title":"Valuing Water Resources","year":2004,"lang":"en","type":"other","venue":"Water Encyclopedia","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Willingness to pay; Cornerstone; Welfare; Value (mathematics); Economics; Point (geometry); Quality (philosophy); Natural resource economics; Public economics; Business; Microeconomics; Market economy","score_opus":0.03425853454989874,"score_gpt":0.1869896244106448,"score_spread":0.15273108986074604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1929128907","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020864533,0.0012819618,0.0001661583,0.0002191395,0.0010436436,0.00025559866,0.000090233865,0.00013219101,0.97594655],"genre_scores_gemma":[0.034686666,0.0011448754,0.0004287662,0.00021991949,0.0009452911,0.000049003433,0.0003244568,0.00047762596,0.9617234],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984498,0.000010920786,0.0004855316,0.00057008147,0.00003878994,0.00044487763],"domain_scores_gemma":[0.9993751,0.00000411193,0.00013850063,0.0004015866,0.0000020172017,0.00007865176],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026721356,0.00029381187,0.00044052248,0.00026356048,0.00005723318,0.000053488613,0.00025054,0.00031374316,0.03527495],"category_scores_gemma":[0.0000041639855,0.00023135863,0.00013221646,0.000022092485,0.00006249172,0.00009749449,0.00012831287,0.0001707967,0.050750677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028796001,0.00048485707,0.14306408,0.00067643,0.00090215297,0.0000749022,0.021547642,0.0007349445,0.0002777998,0.015642839,0.8128143,0.003751246],"study_design_scores_gemma":[0.00035270504,0.000020446363,0.0018531249,0.00003489351,0.000012467172,0.0000022426473,0.000018996983,0.0000076098104,0.00018537947,0.007972187,0.9891109,0.00042905626],"about_ca_topic_score_codex":0.000789794,"about_ca_topic_score_gemma":0.00005033732,"teacher_disagreement_score":0.17629659,"about_ca_system_score_codex":0.00017838863,"about_ca_system_score_gemma":0.000003320539,"threshold_uncertainty_score":0.9656069},"labels":[],"label_agreement":null},{"id":"W1930363697","doi":"10.3390/d7030318","title":"The Nature of the Nuisance—Damage or Threat—Determines How Perceived Monetary Costs and Cultural Benefits Influence Farmer Tolerance of Wildlife","year":2015,"lang":"en","type":"article","venue":"Diversity","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nova Scotia Department of Agriculture; Toronto and Region Conservation Authority; Dalhousie University","funders":"","keywords":"Business; Wildlife; Biodiversity; Government (linguistics); Agriculture; Natural resource economics; Nuisance; Livestock; Perception; Environmental resource management; Public economics; Environmental planning; Geography; Economics; Psychology; Ecology","score_opus":0.06538572690735503,"score_gpt":0.2097866904813697,"score_spread":0.14440096357401466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1930363697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972277,0.0012187806,0.0000018982772,0.0005000002,0.0001293628,0.00013092312,0.0001150151,0.0000036888598,0.0006725731],"genre_scores_gemma":[0.9987422,0.00064888486,0.00004463979,0.00019116313,0.000017538054,0.0000015672491,0.000004230227,0.000003335545,0.0003464177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953896,0.000013882871,0.0001497184,0.00015804482,0.000041609936,0.00009777386],"domain_scores_gemma":[0.99948424,0.000035306708,0.0002267526,0.00019164992,0.000025140307,0.000036889985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016754815,0.00008177561,0.00016975697,0.000015736716,0.00018351195,0.00001662321,0.0002365946,0.000070416965,0.00001043195],"category_scores_gemma":[0.00006593482,0.000054299748,0.000049181897,0.00005481156,0.00022511996,0.00027568682,0.0002568835,0.00009440588,0.000007299222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032080246,0.000013181171,0.99682033,0.0000071859367,0.000017520859,1.9837344e-7,0.0009881386,0.00042335255,0.000020148289,0.0007051773,0.0006197858,0.00035288834],"study_design_scores_gemma":[0.0003938658,0.000029272185,0.9973042,0.000012924172,0.000008233115,9.725838e-7,0.0005759951,0.00056075025,0.0000684692,0.0003713974,0.00059902115,0.00007489054],"about_ca_topic_score_codex":0.00033654782,"about_ca_topic_score_gemma":0.0001068832,"teacher_disagreement_score":0.0015144655,"about_ca_system_score_codex":0.00005803345,"about_ca_system_score_gemma":0.0000061400337,"threshold_uncertainty_score":0.22142795},"labels":[],"label_agreement":null},{"id":"W1932455328","doi":"10.1139/cjfr-2014-0022","title":"Determinants of demand for wood products in the US construction sector: an econometric analysis of a system of demand equations","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Softwood; Economics; Price elasticity of demand; Production (economics); Term (time); Microeconomics; Engineering; Pulp and paper industry","score_opus":0.1470084484668478,"score_gpt":0.28558113273996016,"score_spread":0.13857268427311237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1932455328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973532,0.00041325667,0.001291951,0.000043945656,0.000080977945,0.00026000774,0.00014196076,4.0655678e-7,0.00041431264],"genre_scores_gemma":[0.99949396,0.000028120543,0.00038896853,0.0000037657003,0.000044256398,0.000010213644,0.0000118019625,0.00000733229,0.000011579532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850315,0.000111962036,0.0009545122,0.00014700092,0.00006872373,0.00021463461],"domain_scores_gemma":[0.9984519,0.0002925024,0.0007533639,0.00024371942,0.00014079896,0.00011772223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052663744,0.000066131295,0.00045819517,0.0026329577,0.00007671479,0.000023362034,0.00028482135,0.000063953055,0.000037784288],"category_scores_gemma":[0.00053808873,0.00006180535,0.00011605131,0.0009964461,0.00018867438,0.00021152051,0.000008865892,0.00011169039,0.000002220504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014136545,0.000028329876,0.9743026,0.00011322681,0.00009337917,5.2375907e-7,0.00049379276,0.009438868,0.000011413283,0.014920169,0.000010491136,0.00057310273],"study_design_scores_gemma":[0.00048440284,0.00036968035,0.97294635,0.00003996197,0.000056297733,0.0000069629377,0.0006259023,0.023056643,0.00019511447,0.0020804743,0.00007909582,0.00005913036],"about_ca_topic_score_codex":0.0053339647,"about_ca_topic_score_gemma":0.056666993,"teacher_disagreement_score":0.05133303,"about_ca_system_score_codex":0.00025530814,"about_ca_system_score_gemma":0.00020593232,"threshold_uncertainty_score":0.9605464},"labels":[],"label_agreement":null},{"id":"W1943502151","doi":"10.1002/hec.3076","title":"Empirical Testing of the External Validity of a Discrete Choice Experiment to Determine Preferred Treatment Option: The Case of Sleep Apnea","year":2014,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Respondent; Multinomial logistic regression; Sample (material); External validity; Discrete choice; Mixed logit; Health care; Psychology; Medicine; Econometrics; Logistic regression; Statistics; Social psychology; Economics; Mathematics","score_opus":0.2977270358286523,"score_gpt":0.32789192777672344,"score_spread":0.03016489194807115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1943502151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953384,0.00018885231,0.0020136554,0.0009599864,0.00024438195,0.00050928193,0.00012078406,0.0000047839467,0.0006199177],"genre_scores_gemma":[0.99732673,0.00005300398,0.0020914583,0.00030521263,0.00009183075,0.000056808716,0.0000042244737,0.000015949106,0.00005480955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983544,0.00006641206,0.0010875643,0.00027765147,0.000017334696,0.00019668358],"domain_scores_gemma":[0.9980969,0.00025546068,0.0010295723,0.00051627785,0.000010906283,0.000090888236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074476696,0.00013824494,0.00045942463,0.000053115717,0.00011002265,0.00001054105,0.00019781082,0.00004980469,0.000051306637],"category_scores_gemma":[0.00009134356,0.000109412664,0.00013135892,0.00006320847,0.00008804379,0.000082492275,0.00009881881,0.000058686885,0.000017123537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054536842,0.0003607465,0.9366955,0.00014409637,0.00007372803,5.7202277e-7,0.0034697682,0.019782107,0.00011560128,0.008599533,0.000060759296,0.030643035],"study_design_scores_gemma":[0.0019841609,0.0017446494,0.8070198,0.000062293046,0.00003108002,0.00006985106,0.0004531946,0.17385188,0.005668753,0.0036570292,0.005098376,0.000358908],"about_ca_topic_score_codex":0.0015000533,"about_ca_topic_score_gemma":0.00026055824,"teacher_disagreement_score":0.15406977,"about_ca_system_score_codex":0.00035633412,"about_ca_system_score_gemma":0.00003474844,"threshold_uncertainty_score":0.44617188},"labels":[],"label_agreement":null},{"id":"W1946858848","doi":"","title":"ASSESSING THE VALUE OF ENVIRONMENTAL ATTRIBUTES AFFECTING HOUSEHOLDS’ HOUSING CHOICES USING A CHOICE EXPERIMENT METHOD IN NAVAB NEIGHBOURHOOD","year":2008,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering & Production Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Willingness to pay; Neighbourhood (mathematics); Environmental economics; Context (archaeology); Multinomial logistic regression; Noise pollution; Value (mathematics); Sample (material); Environmental resource management; Business; Economics; Computer science; Statistics; Geography; Mathematics; Microeconomics","score_opus":0.349878992236376,"score_gpt":0.3715722996638495,"score_spread":0.02169330742747355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1946858848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940374,0.00065043604,0.003203548,0.00040187148,0.0014554164,0.0001814124,0.000008573408,0.000006108071,0.000055223507],"genre_scores_gemma":[0.99565804,0.00015392533,0.0027918732,0.000008053093,0.001335085,0.000004873655,0.000002504279,0.000023127364,0.000022519158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99820364,0.0001194594,0.0009145489,0.00023397083,0.0002955539,0.00023286091],"domain_scores_gemma":[0.99883276,0.00031999883,0.0006041621,0.00014253278,0.000050950257,0.000049590766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040078335,0.00011960526,0.00027827674,0.00050259416,0.00012471729,0.000083026905,0.00034426554,0.00009997277,0.00007979582],"category_scores_gemma":[0.0010173909,0.00011753068,0.000106971085,0.00023366412,0.00008298375,0.0007976265,0.00010618919,0.00065220124,0.0000048554007],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003931797,0.00025257887,0.40956956,0.000008405837,0.00017224289,0.000012559242,0.00094374147,0.55067384,0.034881875,0.0005635592,0.00003590429,0.0028464168],"study_design_scores_gemma":[0.0032248066,0.00026744697,0.845231,0.00047006592,0.000020173733,0.00044404817,0.0019078124,0.05394102,0.092106365,0.00036128596,0.0015781493,0.00044785268],"about_ca_topic_score_codex":0.00040602393,"about_ca_topic_score_gemma":0.0000017522813,"teacher_disagreement_score":0.49673283,"about_ca_system_score_codex":0.0009393918,"about_ca_system_score_gemma":0.00006313311,"threshold_uncertainty_score":0.4792762},"labels":[],"label_agreement":null},{"id":"W1948975886","doi":"10.1650/condor-15-89.1","title":"Scalar considerations in population trend estimates: Implications for recovery strategy planning for species of conservation concern","year":2015,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Census; Population; Geography; Scale (ratio); Projections of population growth; Breeding bird survey; Population decline; Population growth; Demography; Ecology; Cartography; Biology","score_opus":0.42954343123300265,"score_gpt":0.3243347274916818,"score_spread":0.10520870374132085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1948975886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58734596,0.0006345698,0.40001595,0.0025406966,0.00007930259,0.002427831,0.0019144817,0.00006129898,0.004979906],"genre_scores_gemma":[0.9744166,0.000019147605,0.021956267,0.00017395009,0.000050171933,0.002035109,0.0011780733,0.000013810339,0.00015685674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987579,0.000012362064,0.0007167083,0.0003311896,0.000020122774,0.00016172105],"domain_scores_gemma":[0.99892914,0.00038405784,0.0003824581,0.00020526901,0.000041172243,0.000057874942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047403947,0.00011163662,0.0002919876,0.00012860444,0.00011762134,0.00003391566,0.00008719603,0.00011873227,0.00006269315],"category_scores_gemma":[0.00026998945,0.0001274082,0.00007499869,0.00013181208,0.000093619754,0.00020248,0.000019104791,0.0000559451,0.000025129066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015011469,0.00011624303,0.74070233,0.000015014724,0.000011991822,3.9140385e-8,0.000082160725,0.008384764,0.00012816268,0.24934132,0.0007589369,0.00044402637],"study_design_scores_gemma":[0.0005237697,0.00008749931,0.6406501,0.000005093373,0.000008334936,0.0000015245541,0.00010903937,0.0009118672,0.000043567685,0.35580164,0.0017528398,0.000104707],"about_ca_topic_score_codex":0.000017914697,"about_ca_topic_score_gemma":0.000049842845,"teacher_disagreement_score":0.38707066,"about_ca_system_score_codex":0.0001528721,"about_ca_system_score_gemma":0.000021230415,"threshold_uncertainty_score":0.51955557},"labels":[],"label_agreement":null},{"id":"W1950356037","doi":"10.22621/cfn.v128i2.1565","title":"Estimating breeding bird survey trends and annual indices for Canada: how do the new hierarchical Bayesian estimates differ from previous estimates?","year":2014,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Breeding bird survey; Bayesian hierarchical modeling; Bayesian probability; Geography; Statistical model; Hierarchical database model; Population; Statistics; Deviance information criterion; Multilevel model; Bayesian inference; Econometrics; Computer science; Demography; Mathematics; Data mining","score_opus":0.03731133023295416,"score_gpt":0.21717966344136533,"score_spread":0.17986833320841117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1950356037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91521984,0.0016546539,0.0041278903,0.0735372,0.0012838872,0.0005061643,0.001997084,0.000046999012,0.00162629],"genre_scores_gemma":[0.9951683,0.000013302061,0.0018041263,0.0018952155,0.00028306158,0.000020057594,0.0001624663,0.000030993262,0.00062247744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988746,0.000035479155,0.0002971366,0.00037331416,0.000046250276,0.0003731865],"domain_scores_gemma":[0.9981674,0.0010537833,0.00020841937,0.00030893538,0.000010959472,0.0002505009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006850639,0.00019502192,0.00029756196,0.00008645247,0.00059266377,0.00032216677,0.00037291774,0.00012718435,0.00026973075],"category_scores_gemma":[0.00066748355,0.00015092466,0.000052397947,0.00009311453,0.00010186259,0.00017375695,0.000053464133,0.00025994983,0.000015100111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028656772,0.000009670709,0.8336876,0.000029939127,0.00016975739,0.000002420868,0.0017356687,0.0005475524,0.000005218506,0.02132283,0.09832701,0.04413366],"study_design_scores_gemma":[0.0004116511,0.000051876053,0.8921505,0.000023024639,0.000030398664,0.0000058640517,0.00007091858,0.08288073,0.000015071957,0.016211519,0.007831383,0.00031702506],"about_ca_topic_score_codex":0.95755833,"about_ca_topic_score_gemma":0.98807955,"teacher_disagreement_score":0.09049562,"about_ca_system_score_codex":0.00028267392,"about_ca_system_score_gemma":0.00010684114,"threshold_uncertainty_score":0.61545295},"labels":[],"label_agreement":null},{"id":"W1953254932","doi":"10.5376/ijmec.2012.02.0005","title":"Multiple Land Use Benefits of Peri-urban Forest (Arakanga Forest Reserve, Ogun State, Nigeria): Perception of Resource Users and its Implication","year":2012,"lang":"en","type":"article","venue":"International Journal of Molecular Ecology and Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ogun state; Forest reserve; Resource (disambiguation); Geography; Perception; Business; Nature reserve; Environmental resource management; Forestry; Agroforestry; Environmental protection; Environmental science; Computer science; Local government; Psychology","score_opus":0.04847029057417802,"score_gpt":0.22842592649842472,"score_spread":0.1799556359242467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953254932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975999,0.00072598347,0.00071749254,0.00056684454,0.00015150302,0.000118648924,0.000066449385,0.0000023991518,0.000050777937],"genre_scores_gemma":[0.9987772,0.00046235588,0.00043718464,0.00016555253,0.000044169472,0.0000059729837,0.000058317397,0.000009789075,0.000039417642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990646,0.000038538306,0.0006212599,0.000116301075,0.000056224097,0.00010302865],"domain_scores_gemma":[0.9988108,0.000109479086,0.0008423742,0.000075754695,0.00011061829,0.000050930492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054151233,0.00008307366,0.00020925325,0.00018544702,0.00003452446,0.000017484843,0.00010201423,0.00009063981,0.000030901952],"category_scores_gemma":[0.00020260017,0.00009451069,0.000053734926,0.000042217926,0.000065780805,0.00056914135,0.00004451722,0.00007943813,0.000004049909],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001103379,0.000072276045,0.9912434,0.000011755044,0.000085272026,5.3766195e-7,0.00036617776,0.0012171606,0.0026710005,0.003943754,0.000058072503,0.00022024434],"study_design_scores_gemma":[0.00083667284,0.00011737287,0.9952684,0.000019523568,0.000011241854,0.00002596225,0.00010332904,0.0013058673,0.0007900038,0.0009969492,0.00044676557,0.00007789008],"about_ca_topic_score_codex":0.000110642126,"about_ca_topic_score_gemma":0.00012803571,"teacher_disagreement_score":0.00402501,"about_ca_system_score_codex":0.00006785236,"about_ca_system_score_gemma":0.000012356951,"threshold_uncertainty_score":0.3854034},"labels":[],"label_agreement":null},{"id":"W1959859660","doi":"10.1002/env.2351","title":"Estimating the transition of individuals between life stages","year":2015,"lang":"en","type":"article","venue":"Environmetrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; York University","funders":"","keywords":"Metric (unit); Transition (genetics); Standard deviation; Statistics; Computer science; Econometrics; Variety (cybernetics); Range (aeronautics); Ecology; Mathematics; Biology; Operations management; Economics","score_opus":0.17420706163486746,"score_gpt":0.2337444176640954,"score_spread":0.05953735602922794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1959859660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94793963,0.0011622286,0.047314208,0.0005226488,0.0001751927,0.00015500087,0.00015704156,0.00001371539,0.0025603285],"genre_scores_gemma":[0.99378324,0.00004771829,0.005656606,0.00015186884,0.00014994584,0.000009708751,0.0000472637,0.00001773365,0.00013592828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989806,0.000028446244,0.0005507849,0.0002131912,0.000069996444,0.0001570262],"domain_scores_gemma":[0.99913293,0.00012768677,0.00037931447,0.0002592672,0.0000036368822,0.000097183234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013527545,0.00010481331,0.00025843055,0.00018066543,0.000065523396,0.000021968797,0.00019779331,0.000082068895,0.00020875226],"category_scores_gemma":[0.0003054954,0.000101746555,0.000070898,0.00024164896,0.0001048242,0.0002069533,0.000050435745,0.000115657866,0.00054173695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014306727,0.000040121522,0.97621185,0.000008942496,0.00003839926,1.6333968e-7,0.0010999662,0.017295862,0.0000044071217,0.0028313622,0.00054067146,0.0019268135],"study_design_scores_gemma":[0.0005702959,0.00009355816,0.97645205,0.0000048179845,0.000022474735,7.057193e-7,0.0002821893,0.0049080485,0.0001513693,0.01337002,0.0039520757,0.00019237539],"about_ca_topic_score_codex":0.00006426358,"about_ca_topic_score_gemma":4.7109248e-7,"teacher_disagreement_score":0.04584359,"about_ca_system_score_codex":0.000101190395,"about_ca_system_score_gemma":0.000009702894,"threshold_uncertainty_score":0.6963113},"labels":[],"label_agreement":null},{"id":"W1963521418","doi":"10.1016/j.socscimed.2008.09.058","title":"Convergent validity between a discrete choice experiment and a direct, open-ended method: Comparison of preferred attribute levels and willingness to pay estimates","year":2008,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Willingness to pay; Closed-ended question; Range (aeronautics); Convergent validity; Contingent valuation; Face validity; Willingness to accept; Statistics; Social psychology; Psychology; Econometrics; Mathematics; Economics; Psychometrics; Microeconomics","score_opus":0.379555714976249,"score_gpt":0.3942901673709133,"score_spread":0.01473445239466431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963521418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902807,0.00033954755,0.0064154235,0.0009160274,0.00016703071,0.0003742729,0.00007217428,0.00000993857,0.0014249259],"genre_scores_gemma":[0.99861145,0.000044433895,0.00102123,0.000088818335,0.00009685271,0.000026696365,0.0000104834835,0.000007215751,0.0000928464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986931,0.000027060623,0.0005076924,0.00044311603,0.00009572,0.00023330144],"domain_scores_gemma":[0.99927294,0.00012274376,0.00029003844,0.00012529425,0.000018456907,0.00017053098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014401386,0.00012653029,0.0005968157,0.00007607951,0.00039112335,0.000024611405,0.00024802188,0.000046639063,0.0000905545],"category_scores_gemma":[0.00022904309,0.00010922689,0.000023167413,0.00022107297,0.0006912875,0.0002938417,0.00020430946,0.00006957116,0.000005875958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006559203,0.000027166518,0.98498625,0.000010278714,0.000013554913,1.8078497e-7,0.0116703,0.000011967429,0.0013193892,0.0009856621,0.00014523594,0.00082346436],"study_design_scores_gemma":[0.0007112249,0.0001658455,0.9909827,0.00002003645,0.000014885644,7.724765e-7,0.00055103534,0.0007940134,0.0044248346,0.0011788697,0.0010002739,0.00015551645],"about_ca_topic_score_codex":0.0009784086,"about_ca_topic_score_gemma":0.00001257137,"teacher_disagreement_score":0.011119265,"about_ca_system_score_codex":0.00014385633,"about_ca_system_score_gemma":0.000025612984,"threshold_uncertainty_score":0.4454143},"labels":[],"label_agreement":null},{"id":"W1963589386","doi":"10.1111/j.1744-7976.2009.01161.x","title":"Ecological Goals and Wetland Preservation Choice","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Agriculture and Agri-Food Canada","keywords":"Wetland; Geography; Forestry; Water quality; Environmental science; Habitat; Water resource management; Ecology; Biology","score_opus":0.0692150063533552,"score_gpt":0.17068657742531107,"score_spread":0.10147157107195587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963589386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859375,0.0009526053,0.00001973327,0.0065819207,0.00070959097,0.00022735668,0.00014217479,0.000008092276,0.005421066],"genre_scores_gemma":[0.9969524,0.00028896847,0.00029239885,0.00095724245,0.0005700027,0.0000059912804,0.000047657577,0.000015467143,0.00086984335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768704,0.000021181328,0.0012516972,0.000424354,0.0000061460278,0.0006095948],"domain_scores_gemma":[0.99757797,0.00008555595,0.0009965699,0.00020635541,0.000044069468,0.0010894748],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058312726,0.00027730045,0.0006853766,0.00031416843,0.00022125576,0.00020498941,0.00037636943,0.00020345711,0.00068640633],"category_scores_gemma":[0.00015801474,0.00028046485,0.00019012396,0.000083460014,0.00010540839,0.0012964796,0.00001912337,0.0002610177,0.0001427896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027628486,0.00006388571,0.7041461,0.000027800268,0.00022692273,0.00002595496,0.0012283815,0.005358395,0.00009420561,0.28050768,0.0052828817,0.0030101535],"study_design_scores_gemma":[0.00076183205,0.00041432428,0.9464779,0.000017703303,0.000019806332,0.00016765352,0.00022695174,0.00020764374,0.000021788435,0.027652351,0.023651812,0.00038026553],"about_ca_topic_score_codex":0.007998824,"about_ca_topic_score_gemma":0.19493207,"teacher_disagreement_score":0.25285533,"about_ca_system_score_codex":0.0014181791,"about_ca_system_score_gemma":0.000118833355,"threshold_uncertainty_score":0.9999648},"labels":[],"label_agreement":null},{"id":"W1964016916","doi":"10.1371/journal.pone.0000444","title":"Economic Inequality Predicts Biodiversity Loss","year":2007,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Biodiversity; Inequality; Economic inequality; Socioeconomic status; Economics; Threatened species; Per capita; Population; Gini coefficient; Natural resource economics; Socioeconomics; Development economics; Demographic economics; Public economics; Ecology; Biology; Environmental health; Medicine","score_opus":0.17408689631799734,"score_gpt":0.20646453129661083,"score_spread":0.032377634978613484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964016916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805617,0.00016029674,0.00056510454,0.00032310328,0.000116870586,0.00015471171,0.00022785684,0.00004264745,0.017847706],"genre_scores_gemma":[0.99816597,0.0001331167,0.00075156114,0.00027737854,0.00011638483,0.0000039387332,0.000058511785,0.000008358449,0.0004848119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898505,0.0000071283193,0.00042902055,0.00031277418,0.000028032484,0.00023796392],"domain_scores_gemma":[0.99939936,0.000034520424,0.00021354943,0.0002508193,0.0000044645653,0.000097274366],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00086621713,0.00010166261,0.00025550605,0.00009639969,0.00008651519,0.000021852235,0.00014771004,0.0000886093,0.0018654347],"category_scores_gemma":[0.000027797087,0.00013977381,0.000059667665,0.000037572263,0.000065282446,0.00024941424,0.00007353425,0.000090327085,0.010723288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013129277,0.00032789787,0.9910686,0.000016832748,0.000088821784,0.000001330905,0.00013251267,0.000018849236,0.000050644918,0.007919617,0.00026838883,0.00009335576],"study_design_scores_gemma":[0.0005715509,0.00005556256,0.9903653,0.00000818175,0.000016452708,5.2137943e-7,0.000044584278,0.00034030047,0.002142225,0.005445554,0.0008007571,0.00020899363],"about_ca_topic_score_codex":0.00023353516,"about_ca_topic_score_gemma":0.000059441034,"teacher_disagreement_score":0.017604236,"about_ca_system_score_codex":0.00037493117,"about_ca_system_score_gemma":0.000006611405,"threshold_uncertainty_score":0.999047},"labels":[],"label_agreement":null},{"id":"W1964570841","doi":"10.1111/j.1745-6606.2010.01178.x","title":"Investment Decisions for Retirement Savings","year":2010,"lang":"en","type":"article","venue":"Journal of Consumer Affairs","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College; University of Guelph","funders":"","keywords":"Portfolio; Actuarial science; Investment (military); Economics; Scale (ratio); Health and Retirement Study; Investment decisions; Latent class model; Risk aversion (psychology); Econometrics; Demographic economics; Psychology; Expected utility hypothesis; Microeconomics; Financial economics; Behavioral economics; Gerontology; Statistics; Medicine","score_opus":0.09801996879537211,"score_gpt":0.24536079247205306,"score_spread":0.14734082367668094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964570841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739073,0.0010737767,0.005162471,0.0012626083,0.0017462315,0.00024493536,0.0000440413,0.0000069775488,0.016551677],"genre_scores_gemma":[0.9869747,0.00023978138,0.01200327,0.0002611595,0.000120647106,0.000010287532,0.000003380972,0.000014764942,0.00037198165],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989333,0.000005511773,0.0007434091,0.00013242278,0.00003959647,0.0001457642],"domain_scores_gemma":[0.9989385,0.00011010023,0.0006484216,0.0001642905,0.000028682005,0.00011002038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008246835,0.000089945825,0.0002569004,0.00014127886,0.00006888781,0.00003397028,0.00016178733,0.000065389366,0.0006339555],"category_scores_gemma":[0.00023076836,0.00009222705,0.00017223168,0.000039109087,0.00006163703,0.00021108068,0.00002591249,0.00015778201,0.00019875138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014091216,0.00057223026,0.5121124,0.000031698542,0.00048165018,0.000006900647,0.0012653462,0.0001875832,0.004588785,0.40025848,0.06575215,0.014601863],"study_design_scores_gemma":[0.0038078562,0.00045394024,0.21457757,0.000051822786,0.0000765016,0.00005710293,0.0007635264,0.0009214866,0.0018030117,0.14921576,0.6277782,0.0004932737],"about_ca_topic_score_codex":0.000007469343,"about_ca_topic_score_gemma":0.000013463767,"teacher_disagreement_score":0.562026,"about_ca_system_score_codex":0.00009017783,"about_ca_system_score_gemma":0.00002553132,"threshold_uncertainty_score":0.69413686},"labels":[],"label_agreement":null},{"id":"W1964749292","doi":"10.1016/s0167-4870(03)00029-1","title":"The insensitivity of `willingness-to-pay' to the size of the good: New evidence for health care","year":2003,"lang":"en","type":"article","venue":"Journal of Economic Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; European Commission; Newcastle University; University of Calgary","keywords":"Willingness to pay; Scope (computer science); Health care; Reliability (semiconductor); Empirical evidence; Public economics; Actuarial science; Economics; Environmental health; Demographic economics; Psychology; Medicine; Microeconomics; Economic growth","score_opus":0.17803256600226092,"score_gpt":0.3507614339017212,"score_spread":0.1727288678994603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964749292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95342654,0.0027418747,0.0031584355,0.03585219,0.0026714718,0.0005166922,0.000060220853,0.0000016900515,0.001570916],"genre_scores_gemma":[0.99478596,0.00054597744,0.0009579914,0.0032339534,0.00017679232,0.0000070372344,2.9199285e-7,0.000013762735,0.00027822144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998324,0.00008484419,0.0011511141,0.00019754654,0.000024422297,0.00021808752],"domain_scores_gemma":[0.9972862,0.00063153455,0.0015331539,0.00043485733,0.000024958026,0.00008932215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002292926,0.000106720516,0.00043113498,0.000053525408,0.00013401434,0.000015758758,0.00045238843,0.000061047154,0.000066027846],"category_scores_gemma":[0.000509124,0.0000668388,0.00021844363,0.00006951464,0.0000856794,0.00010553791,0.00003993443,0.00014428767,0.000050364608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007587432,0.00020272325,0.7404224,0.0000976702,0.00047109157,6.723492e-7,0.0087281335,0.02310365,0.00039654234,0.1319981,0.07033829,0.023481974],"study_design_scores_gemma":[0.0011415909,0.0007594516,0.8463621,0.000063065214,0.000017879092,0.00003819924,0.0005729969,0.00006349311,0.00039243783,0.01657218,0.13385811,0.00015848012],"about_ca_topic_score_codex":0.00009154412,"about_ca_topic_score_gemma":0.00023638617,"teacher_disagreement_score":0.11542594,"about_ca_system_score_codex":0.00026613285,"about_ca_system_score_gemma":0.00014074733,"threshold_uncertainty_score":0.27256072},"labels":[],"label_agreement":null},{"id":"W1965355608","doi":"10.3141/2302-03","title":"Discrete Choice Estimator Properties for Finite Population and Simulation Sample Sizes","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Resampling; Monte Carlo method; Population; Sample size determination; Sample (material); Maximization; Variance (accounting); Computer science; Statistics; Sampling bias; Mathematics; Mathematical optimization; Econometrics; Physics","score_opus":0.29148077312884746,"score_gpt":0.3675011212156442,"score_spread":0.07602034808679675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965355608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978215,0.00081294146,0.018138548,0.0012299762,0.00037757892,0.00095222355,0.000207343,0.000012610224,0.000053776297],"genre_scores_gemma":[0.9949772,0.0003644261,0.0039568166,0.00003443572,0.00024421638,0.0000953002,0.000053976753,0.000040689178,0.00023297497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973348,0.00019640553,0.0012052177,0.00027679987,0.00041605186,0.0005707238],"domain_scores_gemma":[0.99715495,0.0014901643,0.0005567873,0.00023390829,0.0003351658,0.00022900123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038588725,0.0001629653,0.0003619033,0.00047323148,0.0005772317,0.00010466375,0.00029153485,0.00013131661,0.00021397286],"category_scores_gemma":[0.0006938208,0.00013906254,0.000199403,0.00039509442,0.00024402415,0.0013015788,0.0000062711415,0.00053817965,0.000023161405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026143788,0.00009059797,0.9705938,0.00015050413,0.00006049745,3.3619267e-7,0.0014307472,0.017474903,0.00013729974,0.007776261,0.0002051522,0.0018184618],"study_design_scores_gemma":[0.0009737594,0.00020967495,0.9741642,0.000083766856,0.00002091078,8.616808e-8,0.00048575405,0.008240222,0.00013602382,0.009296081,0.006235731,0.0001538222],"about_ca_topic_score_codex":0.0065252003,"about_ca_topic_score_gemma":0.003323722,"teacher_disagreement_score":0.016762162,"about_ca_system_score_codex":0.00022686894,"about_ca_system_score_gemma":0.000044463686,"threshold_uncertainty_score":0.9864195},"labels":[],"label_agreement":null},{"id":"W1965372333","doi":"10.1016/j.jenvman.2013.07.033","title":"Entangled judgments: Expert preferences for adapting biodiversity conservation to climate change","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of Pittsburgh","keywords":"Climate change; Biodiversity; Environmental resource management; Corporate governance; Adaptive management; Preference; Set (abstract data type); Adaptation (eye); Psychology; Ecology; Business; Economics; Computer science","score_opus":0.1403798993344167,"score_gpt":0.21598558050034838,"score_spread":0.07560568116593169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965372333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99290156,0.000502186,0.0023277667,0.0014001187,0.0003814759,0.0009521432,0.000092694536,0.0000067702836,0.0014352752],"genre_scores_gemma":[0.98933256,0.0013217578,0.006859376,0.0020779439,0.00009914105,0.00010908349,0.000018705805,0.000010267276,0.00017116583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989376,0.000011637196,0.0005741498,0.00020433025,0.000061665116,0.00021061978],"domain_scores_gemma":[0.99923754,0.000020075977,0.00052529166,0.00012095895,0.000003910584,0.00009219655],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003945356,0.00012347204,0.00022576863,0.00015486352,0.0001017966,0.000049117887,0.00017727645,0.000037784714,0.0011609205],"category_scores_gemma":[0.000006321809,0.00013490094,0.000108496446,0.000037595975,0.000026446223,0.0006162196,0.00012514704,0.000048458194,0.0008870816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012449667,0.0007256919,0.93805933,0.000082390805,0.00038232817,0.000004696757,0.0019095856,0.00028427463,0.000759393,0.0043379404,0.0130001055,0.040329754],"study_design_scores_gemma":[0.001417458,0.00041421413,0.9686674,0.000039922365,0.000026496806,0.0000026392786,0.0020741075,0.00036083133,0.00018142081,0.0025452077,0.024014352,0.0002559424],"about_ca_topic_score_codex":0.000044297816,"about_ca_topic_score_gemma":0.000002268217,"teacher_disagreement_score":0.040073812,"about_ca_system_score_codex":0.00035063893,"about_ca_system_score_gemma":8.865444e-7,"threshold_uncertainty_score":0.99989086},"labels":[],"label_agreement":null},{"id":"W1965717182","doi":"10.1002/hec.1591","title":"How does cost matter in health-care discrete-choice experiments?","year":2010,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; McMaster University","funders":"National Cancer Institute; National Human Genome Research Institute; Canadian Institutes of Health Research","keywords":"Marginal utility; Context (archaeology); Willingness to pay; Econometrics; Heuristic; Economics; Budget constraint; Marginal cost; Constraint (computer-aided design); Actuarial science; Microeconomics; Mathematics; Mathematical optimization","score_opus":0.06924005404883656,"score_gpt":0.27250101728072895,"score_spread":0.2032609632318924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965717182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96499527,0.0017322847,0.00026103455,0.02424521,0.0019462169,0.0009816589,0.00033370778,0.000035005036,0.0054696226],"genre_scores_gemma":[0.98826677,0.00078134605,0.0015047346,0.0075015025,0.00025600268,0.00017289542,0.00016074111,0.000058913556,0.0012971153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976228,0.000027447395,0.0010474502,0.00067036506,0.000018521703,0.0006134362],"domain_scores_gemma":[0.9984168,0.000053320673,0.0007326216,0.00052669167,0.0000050737285,0.00026551267],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00060424703,0.00023809854,0.00058059476,0.00020492074,0.00017883621,0.00015185363,0.00025092464,0.00014360104,0.0014467828],"category_scores_gemma":[0.000025426714,0.00027058556,0.00009838328,0.000058644768,0.00007841781,0.0005640643,0.000084515326,0.00035204407,0.0011667039],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011053135,0.0000769036,0.96854824,0.00012519985,0.000014394259,3.0586293e-7,0.0018253156,0.00013151318,0.0000046737446,0.023348853,0.0020489746,0.0038645845],"study_design_scores_gemma":[0.0013450566,0.00008396664,0.5489859,0.000020256479,9.760773e-7,0.0000030570577,0.0013158486,0.0010335611,0.00005321027,0.002773014,0.44391719,0.00046795033],"about_ca_topic_score_codex":0.0019342774,"about_ca_topic_score_gemma":0.0053606196,"teacher_disagreement_score":0.44186822,"about_ca_system_score_codex":0.00092416315,"about_ca_system_score_gemma":0.00007708726,"threshold_uncertainty_score":0.9999746},"labels":[],"label_agreement":null},{"id":"W1966266630","doi":"10.5558/tfc82253-2","title":"Evolving consumer preferences for residential decking materials","year":2006,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Chromated copper arsenate; Conjoint analysis; Pulp and paper industry; Preservative; Engineering; Economics; Preference; Food science; Chemistry","score_opus":0.06996052170001343,"score_gpt":0.23143638666502622,"score_spread":0.1614758649650128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966266630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99366945,0.0013044787,0.0013258734,0.00017742523,0.0002942707,0.0002527516,0.000088179324,0.00002265414,0.002864936],"genre_scores_gemma":[0.9985496,0.00003746652,0.00033722684,0.000049268994,0.00026142618,0.000059850805,0.000041810676,0.000015844937,0.00064750924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999211,0.000009813592,0.0003500366,0.00019824631,0.000020069963,0.00021083346],"domain_scores_gemma":[0.9995338,0.000052944128,0.0001962351,0.0001946753,0.0000051197853,0.000017263332],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040235964,0.000085166255,0.00014601932,0.000026656626,0.00018399846,0.000092648916,0.00017001004,0.000051032075,0.0010677933],"category_scores_gemma":[0.000022110098,0.00007817327,0.00005224967,0.000029101884,0.0000743273,0.0002026736,0.000044517,0.000039400806,0.00037888248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044046512,0.00009392824,0.7601347,0.00006674028,0.00007709839,6.8724887e-7,0.00023496461,0.0025064873,0.0033587299,0.21869054,0.01423702,0.00055504794],"study_design_scores_gemma":[0.0006983227,0.000042408494,0.7877473,0.0000131679635,0.000012012423,0.0000026602818,0.000049490947,0.0016772404,0.0077759475,0.19839495,0.0034016315,0.00018485662],"about_ca_topic_score_codex":0.00084174296,"about_ca_topic_score_gemma":0.00012005397,"teacher_disagreement_score":0.0276126,"about_ca_system_score_codex":0.00011975365,"about_ca_system_score_gemma":0.000013132113,"threshold_uncertainty_score":0.9998454},"labels":[],"label_agreement":null},{"id":"W1967039550","doi":"10.1007/s11002-012-9186-1","title":"Beyond nudges: Tools of a choice architecture","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Choice architecture; Nudge theory; Structuring; Architecture; Task (project management); Computer science; Management science; Decision maker; Engineering; Economics; Microeconomics; Psychology; Systems engineering; Social psychology","score_opus":0.056592374437669006,"score_gpt":0.2022426291201726,"score_spread":0.1456502546825036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967039550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973329,0.00047765073,0.0011965717,0.001464954,0.0002770654,0.000095685864,0.000029963096,0.000014964135,0.023114113],"genre_scores_gemma":[0.99566525,0.000017194116,0.0019752255,0.0018960944,0.00019199934,0.000010781912,0.00001547177,0.000016809492,0.00021115874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992018,0.00003072215,0.0003436335,0.00016299645,0.000023144752,0.00023771814],"domain_scores_gemma":[0.9993265,0.00020158074,0.00024036315,0.00018030239,0.000001862725,0.000049389964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001157189,0.000092529524,0.00018764455,0.000079820406,0.000042525735,0.000017216955,0.00010991047,0.00004353315,0.00070344197],"category_scores_gemma":[0.00020202406,0.00011013137,0.00007796414,0.00005598929,0.00004671311,0.00019742505,0.000041998734,0.0000899295,0.0002582263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010155028,0.000034081044,0.9898367,0.0000325014,0.000027746057,1.344042e-7,0.0003866769,0.00018084793,0.0013640072,0.0013989256,0.002755865,0.00397236],"study_design_scores_gemma":[0.00024782037,0.000008564045,0.9795352,0.000010419211,0.000004836147,0.0000017173419,0.00004054795,0.00007817293,0.00021914803,0.00029540865,0.019409217,0.0001489297],"about_ca_topic_score_codex":0.000036693884,"about_ca_topic_score_gemma":0.0000013964044,"teacher_disagreement_score":0.022902954,"about_ca_system_score_codex":0.00007054751,"about_ca_system_score_gemma":0.0000016133758,"threshold_uncertainty_score":0.7702196},"labels":[],"label_agreement":null},{"id":"W1967105178","doi":"10.1371/journal.pone.0012642","title":"The Calculus of Committee Composition","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dilemma; Computer science; Face (sociological concept); Work (physics); Operations research; Mathematics; Sociology","score_opus":0.10564470080074398,"score_gpt":0.19267566557890237,"score_spread":0.08703096477815839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967105178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98263985,0.00013807515,0.00017199761,0.0006572387,0.00008331075,0.00009184837,0.000025273226,0.000007629512,0.01618478],"genre_scores_gemma":[0.9987372,0.000079655976,0.000609244,0.000067092944,0.000046234833,0.000010772548,0.000011459322,0.0000064903356,0.00043181833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995716,0.000004682624,0.00023533267,0.00008997324,0.000019130875,0.000079239086],"domain_scores_gemma":[0.9996094,0.00003852033,0.0001410325,0.00018468637,0.000005347878,0.000021026954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002482514,0.00004051672,0.00011574461,0.000021030006,0.00008323149,0.000013163929,0.00009865965,0.00003630755,0.00031960054],"category_scores_gemma":[0.000017216918,0.00003957175,0.000030782343,0.000025470255,0.000068695714,0.00006350477,0.000024182707,0.000089666435,0.0005722476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013321369,0.00088110036,0.50618005,0.00002493991,0.00015492458,1.9153453e-7,0.00023931226,0.000019603025,0.030494174,0.46064207,0.00043707935,0.000913243],"study_design_scores_gemma":[0.000752056,0.000104688945,0.9149429,0.000017884153,0.000029068524,9.522859e-7,0.00006376578,0.011918759,0.04159771,0.027650898,0.002684959,0.00023634525],"about_ca_topic_score_codex":0.00004570666,"about_ca_topic_score_gemma":0.000022282633,"teacher_disagreement_score":0.43299118,"about_ca_system_score_codex":0.000020241196,"about_ca_system_score_gemma":0.000001989943,"threshold_uncertainty_score":0.73552763},"labels":[],"label_agreement":null},{"id":"W1967171921","doi":"10.1177/075910630006700103","title":"Quel parti va Gagner les Elections? Avantages et Faiblesses d'une question numerique [1]","year":2000,"lang":"en","type":"article","venue":"Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Voting; Strengths and weaknesses; Political science; General election; Perception; Spoilt vote; Group voting ticket; Positive economics; Public administration; Economics; Psychology; Social psychology; Law; Epistemology; Politics; Philosophy","score_opus":0.3440954525499565,"score_gpt":0.3447035086887533,"score_spread":0.0006080561387968308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967171921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82724774,0.0045542438,0.104620084,0.0364971,0.00035485506,0.00076126936,0.00013507776,0.00045372613,0.025375899],"genre_scores_gemma":[0.703789,0.01450371,0.2735212,0.003741073,0.00024100185,0.0003883251,0.00009659757,0.000062915824,0.0036561755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98710823,0.008823714,0.0017375554,0.0012660848,0.00007946526,0.0009849205],"domain_scores_gemma":[0.9892873,0.008905416,0.001002987,0.00056486303,0.0000639078,0.00017549041],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.020397656,0.00059384847,0.001617593,0.00016222293,0.00041006607,0.000038345006,0.00069240795,0.002172405,0.029491438],"category_scores_gemma":[0.008367463,0.0005775083,0.0005715588,0.0001567426,0.0018306496,0.000062668776,0.00018679089,0.0015483605,0.0021608584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006916965,0.0010036695,0.525497,0.00018195964,0.00046897115,0.000031460768,0.001822627,0.0069534313,0.0031770694,0.412274,0.03341376,0.014484348],"study_design_scores_gemma":[0.0011915751,0.0012564026,0.50339174,0.000052240342,0.000054621836,0.000072128234,0.0017802363,0.00008029062,0.001479093,0.37220925,0.117391564,0.0010408496],"about_ca_topic_score_codex":0.0014042058,"about_ca_topic_score_gemma":0.000010156747,"teacher_disagreement_score":0.16890112,"about_ca_system_score_codex":0.00038154525,"about_ca_system_score_gemma":0.00006743136,"threshold_uncertainty_score":0.99998546},"labels":[],"label_agreement":null},{"id":"W1967330053","doi":"10.1093/aepp/ppu001","title":"Using a Choice Experiment to Improve Decision Support Tool Design","year":2014,"lang":"en","type":"article","venue":"Applied Economic Perspectives and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Rural Industries Research and Development Corporation; Commonwealth Scientific and Industrial Research Organisation; Australian Government","keywords":"Preference; Quarter (Canadian coin); Decision support system; Marketing; Investment (military); Value (mathematics); Discrete choice; Business; Private sector; Economics; Actuarial science; Microeconomics; Computer science; Econometrics; Artificial intelligence","score_opus":0.07752347637551985,"score_gpt":0.2819857858135151,"score_spread":0.20446230943799523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967330053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90165275,0.00017069282,0.0693988,0.0003894235,0.00017316657,0.00050710863,0.0000486724,0.0000319333,0.027627423],"genre_scores_gemma":[0.98399127,0.00009873782,0.014302848,0.00067738444,0.00052191183,0.000075147305,0.0000043976274,0.000036162506,0.0002921412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850005,0.000010419336,0.00046958934,0.0006679442,0.000018607829,0.0003333628],"domain_scores_gemma":[0.9992417,0.000087242435,0.00018969756,0.00032304638,0.0000036444019,0.00015465014],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048427927,0.00021273512,0.00037103455,0.00023173433,0.00015583442,0.00009795486,0.00014844681,0.00008786463,0.00056003104],"category_scores_gemma":[0.00003952005,0.00026203127,0.00006905046,0.000052318363,0.00006388628,0.0001912806,0.000121427605,0.00007583368,0.0012898651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000740388,0.00008766998,0.005712941,0.000008707535,0.000079936144,2.0217391e-7,0.0052041346,0.00780148,0.0023254175,0.96087027,0.00072792673,0.01710729],"study_design_scores_gemma":[0.010691838,0.0016072487,0.3094849,0.000041384632,0.00007552979,0.00003837991,0.008225785,0.12117587,0.008469299,0.39582077,0.13982719,0.0045418176],"about_ca_topic_score_codex":0.00074036757,"about_ca_topic_score_gemma":0.000010133309,"teacher_disagreement_score":0.56504947,"about_ca_system_score_codex":0.0007884074,"about_ca_system_score_gemma":0.00003130663,"threshold_uncertainty_score":0.9999832},"labels":[],"label_agreement":null},{"id":"W1967409604","doi":"10.1108/16605370810861035","title":"Trends in winter sport tourism: challenges for the future","year":2008,"lang":"en","type":"article","venue":"Tourism Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Destinations; Tourism; Discrete choice; Preference; Marketing; Value (mathematics); Snow; Revealed preference; Originality; Business; Relevance (law); Geography; Computer science; Economics; Econometrics; Microeconomics; Psychology","score_opus":0.12877399841854448,"score_gpt":0.2514737679189171,"score_spread":0.12269976950037265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967409604","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031021839,0.9258071,0.00014378424,0.023032576,0.0005173783,0.00049801974,0.00002707243,0.000018310937,0.018933898],"genre_scores_gemma":[0.20720641,0.7841409,0.00024992292,0.0018131143,0.0006182108,0.00018625536,0.000028156366,0.000023191447,0.0057338458],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901974,0.0000071093577,0.000500322,0.00026878234,0.000021166983,0.00018289444],"domain_scores_gemma":[0.99942833,0.0000248311,0.00020145468,0.00030791675,0.0000037103919,0.000033767756],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00058883766,0.0001242402,0.00039567746,0.000076662225,0.00007020936,0.00000613458,0.00018248228,0.0000630322,0.0013145045],"category_scores_gemma":[0.000008116908,0.00010355157,0.00018490544,0.000078567566,0.000033903638,0.000120818644,0.000028811712,0.0001044019,0.00042839273],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027207923,0.00030752548,0.1135537,0.0011136106,0.00015729929,0.000037976642,0.0012139014,0.00006528965,6.68295e-7,0.041756563,0.31090426,0.530862],"study_design_scores_gemma":[0.00025893463,0.0000259544,0.28584334,0.0000913977,0.000009307326,0.000010587265,0.00003106635,0.00007342607,0.0000010812986,0.0012638358,0.7122603,0.000130778],"about_ca_topic_score_codex":0.000022722897,"about_ca_topic_score_gemma":0.00002292167,"teacher_disagreement_score":0.5307312,"about_ca_system_score_codex":0.00007305805,"about_ca_system_score_gemma":0.0000042334113,"threshold_uncertainty_score":0.99959844},"labels":[],"label_agreement":null},{"id":"W1968014123","doi":"10.1111/j.1477-9552.2009.00230.x","title":"An Organisational Discussion of Incomplete Contracting and Transaction Costs in Conservation Contracts","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transaction cost; Database transaction; Economics; Business; Public sector; Agriculture; Industrial organization; Top-down and bottom-up design; Environmental economics; Public economics; Environmental resource management; Microeconomics; Computer science; Economy; Ecology","score_opus":0.0326370374521664,"score_gpt":0.20408817043213456,"score_spread":0.17145113297996817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968014123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974985,0.000044725988,0.00023490039,0.0014462252,0.00035549406,0.00010763605,0.000029335524,0.0000027928402,0.00028037347],"genre_scores_gemma":[0.99823517,0.00013850837,0.0013722758,0.00009476383,0.00011496805,0.0000014685994,0.000021453343,0.0000072550342,0.000014161748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875784,0.000016477517,0.0009621829,0.00013755052,0.000021920738,0.00010400344],"domain_scores_gemma":[0.9985712,0.000072678624,0.0011821846,0.00006840227,0.000032454547,0.000073075884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067274383,0.000098520046,0.00032666512,0.000115229195,0.0000450231,0.000040133713,0.00008824991,0.000101014826,0.00012060355],"category_scores_gemma":[0.000054410215,0.00007631605,0.0000580319,0.000043843855,0.000048917696,0.0011905797,0.000007680464,0.00022849058,0.0000067394885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010215627,0.00027107133,0.88256997,0.000018522527,0.00006467692,0.000001087581,0.0010352761,0.0035353627,0.06257822,0.044987075,0.00004291625,0.0047936686],"study_design_scores_gemma":[0.0010597812,0.000108975655,0.9919879,0.000013171222,0.0000074170985,0.000050678973,0.00055405503,0.0017470381,0.0012434712,0.0028310264,0.00027870896,0.00011776717],"about_ca_topic_score_codex":0.000108988206,"about_ca_topic_score_gemma":0.00033320332,"teacher_disagreement_score":0.109417945,"about_ca_system_score_codex":0.00016127095,"about_ca_system_score_gemma":0.000018404531,"threshold_uncertainty_score":0.31120783},"labels":[],"label_agreement":null},{"id":"W1968106518","doi":"","title":"Taux d'actualisation pour l'évaluation des investissements publics au Québec","year":2007,"lang":"fr","type":"article","venue":"CIRANO Project Reports","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Economics; Proxy (statistics); Social discount rate; Valuation (finance); Libor; Welfare economics; Social cost; Cost–benefit analysis; Interest rate; Financial economics; Finance; Microeconomics; Political science","score_opus":0.18538404966478778,"score_gpt":0.2798480124770379,"score_spread":0.09446396281225011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968106518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93526,0.0046550496,0.022098076,0.0012412956,0.0031215753,0.00088094757,0.00003383931,0.00005731347,0.03265191],"genre_scores_gemma":[0.96567184,0.00049659965,0.0049121976,0.0004125488,0.000610608,0.00005705631,0.00027664748,0.00007065763,0.027491834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99627537,0.00006958403,0.0019614699,0.0008434562,0.00013970776,0.0007104328],"domain_scores_gemma":[0.9975582,0.00010908224,0.0015339059,0.00057370303,0.00006685645,0.00015826194],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00545813,0.00033886838,0.00046815045,0.00046806526,0.00040203836,0.00016994658,0.0001454834,0.0003484279,0.0012882339],"category_scores_gemma":[0.00076304254,0.0004790992,0.00019831375,0.0003460359,0.00030270466,0.0011909128,0.00008762699,0.00022685077,0.00064953824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000119058095,0.00024914957,0.89552855,0.00011142761,0.00010443267,0.000041668733,0.007908722,0.00030212448,0.00011516255,0.0028543698,0.0024131213,0.09035937],"study_design_scores_gemma":[0.0006092386,0.00013621281,0.9137633,0.00009478452,0.00006827241,0.00020161924,0.0012120322,0.0017330775,0.00090010714,0.011997097,0.06867937,0.00060490356],"about_ca_topic_score_codex":0.08557899,"about_ca_topic_score_gemma":0.028204665,"teacher_disagreement_score":0.08975446,"about_ca_system_score_codex":0.004220023,"about_ca_system_score_gemma":0.0008604604,"threshold_uncertainty_score":0.99976605},"labels":[],"label_agreement":null},{"id":"W1968467946","doi":"10.1093/erae/jbq051","title":"Consumers' preferences for geographical origin labels: evidence from the Canadian olive oil market","year":2011,"lang":"en","type":"article","venue":"European Review of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":249,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Iowa State University; U.S. Department of Agriculture","keywords":"Geographical indication; Promotion (chess); Empirical evidence; Business; Country of origin; Value (mathematics); Agriculture; Economic geography; Geography; Agricultural economics; Marketing; Regional science; Economics; Political science","score_opus":0.16669260907192943,"score_gpt":0.22147250705206273,"score_spread":0.0547798979801333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968467946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8068574,0.090921715,0.000016088125,0.0011900469,0.00048741978,0.0005628629,0.0010113729,0.000020221389,0.098932855],"genre_scores_gemma":[0.70045334,0.29422727,0.0020363398,0.001791165,0.00016687726,0.00005992147,0.0001848367,0.000028563354,0.0010516639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832517,0.00009009872,0.0008801094,0.00042029013,0.000020523094,0.0002638018],"domain_scores_gemma":[0.9986531,0.0001936801,0.00064115465,0.00033466986,0.0000326331,0.0001447288],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012347037,0.0002044433,0.00045785113,0.00004112612,0.00016388374,0.000046761415,0.00055970106,0.000054870856,0.0017895245],"category_scores_gemma":[0.00016211042,0.00014801089,0.00023873443,0.000076655495,0.00015661419,0.00032096193,0.00006853392,0.00013068874,0.0006201332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050145856,0.00014743242,0.84533376,0.0021898958,0.0007891791,0.0000017569621,0.0020995238,0.000029653322,0.000012882616,0.055116925,0.07480689,0.019421935],"study_design_scores_gemma":[0.0002401844,0.00006216299,0.93321025,0.0012106226,0.00005232257,0.000002746249,0.00011726611,0.000030669464,0.000020859228,0.0011164638,0.063626766,0.00030965736],"about_ca_topic_score_codex":0.021744868,"about_ca_topic_score_gemma":0.023389732,"teacher_disagreement_score":0.20330556,"about_ca_system_score_codex":0.00016232078,"about_ca_system_score_gemma":0.000036414713,"threshold_uncertainty_score":0.999123},"labels":[],"label_agreement":null},{"id":"W1969146498","doi":"10.1509/jppm.19.1.106.16946","title":"Assessing Consumer Preferences for Clean-Fuel Vehicles: A Discrete Choice Experiment","year":2000,"lang":"en","type":"article","venue":"Journal of Public Policy & Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Discrete choice; Value (mathematics); Economics; Environmental economics; Business; Microeconomics; Econometrics; Computer science","score_opus":0.15062988468280222,"score_gpt":0.31353158974450546,"score_spread":0.16290170506170323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969146498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748203,0.0018064794,0.00067268114,0.0017645895,0.00015895272,0.00013928759,0.000023052222,0.00001045624,0.020604182],"genre_scores_gemma":[0.9957784,0.0006704588,0.0019325321,0.000354186,0.00059664925,0.00001460036,0.0000052528635,0.000023490295,0.00062444474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998276,0.00008110158,0.0010102128,0.00021444187,0.0000619133,0.0003563066],"domain_scores_gemma":[0.9983935,0.0003545963,0.00092000526,0.00014989663,0.00003022103,0.00015177627],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034774626,0.00014450222,0.00036055283,0.00025346645,0.00014646997,0.00035345988,0.00024633188,0.00007744931,0.0012967834],"category_scores_gemma":[0.00088709616,0.00014848365,0.0001902537,0.000114566625,0.000070285685,0.001336464,0.000033703836,0.00015223946,0.00005897608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011047106,0.0002643946,0.6332074,0.00013157765,0.00034916648,0.0000018660497,0.0011668587,0.00024327889,0.0002707565,0.007566923,0.00319079,0.35349652],"study_design_scores_gemma":[0.0021546823,0.00015630567,0.8633949,0.00011534631,0.000024378589,0.000030150095,0.00134045,0.0028280825,0.00012243532,0.00888214,0.12051907,0.00043206435],"about_ca_topic_score_codex":0.00012651482,"about_ca_topic_score_gemma":0.0000059426525,"teacher_disagreement_score":0.35306445,"about_ca_system_score_codex":0.00033405155,"about_ca_system_score_gemma":0.00008966925,"threshold_uncertainty_score":0.99961615},"labels":[],"label_agreement":null},{"id":"W1969396554","doi":"10.1111/j.1744-7976.2011.01219.x","title":"An Economic Analysis of Landowners’ Willingness to Adopt Wetland and Riparian Conservation Management","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Riparian zone; Wetland; Geography; Willingness to accept; Agriculture; Forestry; Land tenure; Environmental protection; Willingness to pay; Economics; Habitat; Ecology; Archaeology","score_opus":0.0740583949978437,"score_gpt":0.16758551322533075,"score_spread":0.09352711822748705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969396554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940302,0.00019967377,0.00012633261,0.000531272,0.0006956302,0.0002816117,0.0005298271,0.0000057639636,0.0035996921],"genre_scores_gemma":[0.99779826,0.00017146912,0.0012331249,0.00031870088,0.00014364469,0.000013770838,0.00010414513,0.000024047078,0.00019281368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974394,0.000025483083,0.0015225055,0.00049836957,0.0000074440673,0.00050682866],"domain_scores_gemma":[0.99717,0.00003568153,0.0012016268,0.00034254996,0.000044441287,0.0012057261],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007112649,0.00028984837,0.0009837565,0.00095509854,0.00013987607,0.00009636081,0.000461398,0.00014122466,0.0007954141],"category_scores_gemma":[0.000017952789,0.00031006162,0.00025933306,0.00019509225,0.00011864864,0.00082204887,0.000028890547,0.00013553977,0.000071613475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006314455,0.000038294493,0.85285103,0.00003372142,0.0017450828,0.000012738217,0.0043773293,0.01710775,0.0000172042,0.122591496,0.000329978,0.00083222514],"study_design_scores_gemma":[0.0007332653,0.00032589384,0.98906195,0.000021675942,0.00031637182,0.00003838179,0.0016915707,0.0013642864,0.000048676193,0.0032800075,0.002676005,0.0004419065],"about_ca_topic_score_codex":0.06338178,"about_ca_topic_score_gemma":0.5345223,"teacher_disagreement_score":0.47114053,"about_ca_system_score_codex":0.0012360904,"about_ca_system_score_gemma":0.0001002633,"threshold_uncertainty_score":0.99993515},"labels":[],"label_agreement":null},{"id":"W1969568117","doi":"10.1007/s10661-013-3191-6","title":"Assessment of private economic benefits and positive environmental externalities of tea plantation in China","year":2013,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Externality; China; Subsidy; Agricultural economics; Total economic value; Natural resource economics; Ecosystem services; Business; Environmental protection; Economics; Geography; Ecosystem; Ecology","score_opus":0.025609313479718017,"score_gpt":0.22617361028729824,"score_spread":0.20056429680758023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969568117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968949,0.0010796953,0.00008452262,0.000040463055,0.00013771311,0.00030671415,0.00026359077,0.0000046024675,0.0011877763],"genre_scores_gemma":[0.9942255,0.0032942148,0.0022622491,0.0000055941814,0.000038455542,0.0000491288,0.000050902774,0.000018029306,0.000055951237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987471,0.000025412322,0.00063047884,0.0003459552,0.000056503915,0.00019456129],"domain_scores_gemma":[0.9993644,0.00004058539,0.00038237157,0.00014382141,4.6312303e-7,0.00006840627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025752385,0.00017633515,0.00034504186,0.00012320996,0.000054635697,0.000026272015,0.00007713877,0.000065416585,0.00023665938],"category_scores_gemma":[0.0000013284159,0.00021019811,0.000043834436,0.000015427375,0.00013741663,0.00039052696,0.00011663937,0.00011844815,0.000016135184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034396064,0.00012618687,0.98628557,0.000016517557,0.00003477782,4.0829823e-7,0.00037489008,0.000572098,0.003979994,0.0036926046,8.1506494e-7,0.004912704],"study_design_scores_gemma":[0.0007111548,0.00015114101,0.99284196,0.000056271787,0.000008297611,0.0000032945934,0.00069721526,0.001506085,0.0027378334,0.0010894015,0.000013244491,0.00018412112],"about_ca_topic_score_codex":0.000572474,"about_ca_topic_score_gemma":0.0000017193232,"teacher_disagreement_score":0.0065563754,"about_ca_system_score_codex":0.00040403806,"about_ca_system_score_gemma":0.0000054412208,"threshold_uncertainty_score":0.857163},"labels":[],"label_agreement":null},{"id":"W1971447498","doi":"10.1006/anbe.2003.2278","title":"The twin threshold model: risk-intermediate foraging by rufous hummingbirds, Selasphorus rufus","year":2003,"lang":"en","type":"article","venue":"Animal Behaviour","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences","keywords":"Foraging; Preference; Biology; Reproduction; Statistics; Variance (accounting); Optimal foraging theory; Demography; Ecology; Zoology; Mathematics; Economics","score_opus":0.04783656272666771,"score_gpt":0.21781698909614133,"score_spread":0.16998042636947364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971447498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98638827,0.0020279367,0.0011193946,0.000104524086,0.00027103783,0.00020501789,0.00015621571,0.00004758669,0.009680046],"genre_scores_gemma":[0.99661654,0.00077576964,0.00031687962,0.00016361677,0.000038191993,0.00005060651,0.000023389543,0.00004911968,0.0019659116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851406,0.000020126039,0.0005508206,0.00043200867,0.000048389775,0.00043461777],"domain_scores_gemma":[0.99917513,0.000039974642,0.00034845155,0.00032949174,0.000007696712,0.00009925358],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00076957745,0.0002025094,0.00024656524,0.000052403015,0.00041064195,0.0001256776,0.00024975612,0.00010655703,0.00021518442],"category_scores_gemma":[0.000045030905,0.0002024258,0.0001373378,0.000066709246,0.00008525715,0.0002480329,0.000058294314,0.00025220794,0.0008882676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001460917,0.00007635096,0.9666182,0.0000022798295,0.000027687624,0.0000021961737,0.00030313208,0.00048331197,0.00011840583,0.027360387,0.004458835,0.00053461007],"study_design_scores_gemma":[0.002585671,0.0005076455,0.844389,0.000021017744,0.00011678013,0.00002811096,0.0013209877,0.07302825,0.00212533,0.047014765,0.027293177,0.0015692307],"about_ca_topic_score_codex":0.0002212047,"about_ca_topic_score_gemma":0.00003096946,"teacher_disagreement_score":0.12222916,"about_ca_system_score_codex":0.0001957294,"about_ca_system_score_gemma":0.000012765837,"threshold_uncertainty_score":0.9998897},"labels":[],"label_agreement":null},{"id":"W1971828768","doi":"10.1111/j.1744-7976.2012.01255.x","title":"A Discrete‐Time Duration Analysis of Technology Disadoption: The Case of rbST in California","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Giannini Foundation of Agricultural Economics","keywords":"Economic shortage; Mathematics; Humanities; Duration (music); Statistics; Philosophy; Physics","score_opus":0.03650143322657988,"score_gpt":0.16959822663423396,"score_spread":0.13309679340765407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971828768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951169,0.0009822196,0.000023420926,0.0016901544,0.00039637933,0.00020093941,0.0007857644,0.0000024730807,0.0008017829],"genre_scores_gemma":[0.9993039,0.00009793158,0.00016811032,0.000057658144,0.0001559244,0.000010639564,0.000072281175,0.000014573205,0.00011902827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972775,0.00002925129,0.0019378442,0.0002361218,0.0000059299846,0.0005133658],"domain_scores_gemma":[0.9971924,0.00008549853,0.0019374171,0.0002949064,0.0000495991,0.0004402069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009873329,0.00021493337,0.0009127791,0.0011548987,0.00010783144,0.000032808628,0.00036095438,0.00017323189,0.0007585238],"category_scores_gemma":[0.00010484521,0.0001877611,0.00036998116,0.000522372,0.00022241019,0.0006355905,0.000026783455,0.00021411781,0.00006783325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002166221,0.00005766047,0.8803025,0.000028778783,0.00097306224,0.000025659381,0.0024476035,0.026025677,0.000057994326,0.08910521,0.00021118489,0.00074301375],"study_design_scores_gemma":[0.0006430853,0.00015931587,0.98639244,0.00002998016,0.00029309542,0.0006594208,0.0038934995,0.0023949703,0.00010516087,0.0030502276,0.0019923619,0.00038643356],"about_ca_topic_score_codex":0.029394329,"about_ca_topic_score_gemma":0.46085712,"teacher_disagreement_score":0.4314628,"about_ca_system_score_codex":0.0015465895,"about_ca_system_score_gemma":0.000109407345,"threshold_uncertainty_score":0.977069},"labels":[],"label_agreement":null},{"id":"W1972564698","doi":"10.1086/650305","title":"Cost Benefit Analyses versus Referenda","year":2010,"lang":"en","type":"article","venue":"Journal of Political Economy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Referendum; Welfare; Economics; Value (mathematics); Cost–benefit analysis; Public economics; Social planner; Microeconomics; Planner; Econometrics; Statistics; Computer science; Mathematics; Political science","score_opus":0.2891612263948099,"score_gpt":0.32736641020314583,"score_spread":0.03820518380833593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972564698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75836134,0.00012776042,0.0007529856,0.001828482,0.0012831938,0.00006818463,0.00004315422,0.0000069528137,0.23752797],"genre_scores_gemma":[0.9972127,0.000014193171,0.0013157872,0.0005137003,0.00058395084,0.0000034481225,0.0000061418623,0.00001531536,0.0003347328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986025,0.0000065813633,0.0008865652,0.00016807998,0.000023028375,0.00031324037],"domain_scores_gemma":[0.9988846,0.000116907606,0.0004890235,0.00019688378,0.000025279736,0.00028729765],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00043230917,0.00011966681,0.00038992576,0.00018505678,0.00005372764,0.00006234081,0.00021170522,0.00010906449,0.0035496212],"category_scores_gemma":[0.00011241276,0.00012767747,0.0002109051,0.000044563785,0.00009612505,0.000422215,0.00003723554,0.000340824,0.0009265591],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026101065,0.00006024935,0.033171017,0.0000041844355,0.000079679776,0.0000023077494,0.000023166582,0.000027579641,0.00003622379,0.9656969,0.00040646514,0.00046617712],"study_design_scores_gemma":[0.0038512133,0.00040920518,0.3451436,0.0000107363185,0.00006781602,0.000073909636,0.0003160647,0.00097157864,0.0011714855,0.448648,0.1988346,0.00050180306],"about_ca_topic_score_codex":0.000072184615,"about_ca_topic_score_gemma":0.000027053233,"teacher_disagreement_score":0.51704884,"about_ca_system_score_codex":0.00019591066,"about_ca_system_score_gemma":0.000027324704,"threshold_uncertainty_score":0.99985135},"labels":[],"label_agreement":null},{"id":"W1972644263","doi":"10.1071/rj08042","title":"A conservation auction for landscape linkage in the southern Desert Uplands, Queensland","year":2009,"lang":"en","type":"article","venue":"The Rangeland Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Barrick Gold (Canada)","funders":"","keywords":"Bidding; Business; Common value auction; Environmental resource management; Land management; Geography; Economics; Agriculture; Marketing","score_opus":0.07689825479593775,"score_gpt":0.22270408321498042,"score_spread":0.14580582841904266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972644263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98246956,0.0011043542,0.0048911027,0.009114661,0.00017337885,0.00023602223,0.00003233406,0.0000059566783,0.0019726607],"genre_scores_gemma":[0.99788713,0.00029575956,0.00009810384,0.0009411024,0.00034363795,0.000011198796,0.000020720741,0.000006266338,0.00039608098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993839,0.000033279724,0.00031334185,0.00009960294,0.000027682567,0.00014217175],"domain_scores_gemma":[0.9995861,0.000078215446,0.00019671746,0.00011139851,0.0000062015274,0.000021339021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015945741,0.00007364029,0.0001311113,0.000060768038,0.00019331506,0.00008563411,0.0001414617,0.000052009636,0.00011293829],"category_scores_gemma":[0.000029883524,0.000046558536,0.000067844725,0.00005471202,0.000017400756,0.0001225869,0.000004539141,0.00015703015,0.00009467598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001960933,0.00011341044,0.9701101,0.000009128165,0.000044717402,0.0000031680584,0.006988683,0.0012205344,0.000025157402,0.0056964746,0.011045311,0.0045471787],"study_design_scores_gemma":[0.0022566093,0.00014967026,0.9060709,0.000015512018,0.000014140547,0.00009576442,0.0010711628,0.007720569,0.0000060742327,0.067177474,0.015288723,0.00013342708],"about_ca_topic_score_codex":0.00004447408,"about_ca_topic_score_gemma":0.000072997645,"teacher_disagreement_score":0.06403927,"about_ca_system_score_codex":0.000036507558,"about_ca_system_score_gemma":0.000006823222,"threshold_uncertainty_score":0.1898602},"labels":[],"label_agreement":null},{"id":"W1973039821","doi":"10.5751/es-06320-190138","title":"Revisiting the Environmental and Socioeconomic Effects of Population Growth: a Fundamental but Fading Issue in Modern Scientific, Public, and Political Circles","year":2014,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Politics; Socioeconomic status; Fading; Population; Population growth; Political science; Geography; Environmental ethics; Sociology; Ecology; Social science; Demography; Law; Biology; Mathematics; Statistics","score_opus":0.022530913833905944,"score_gpt":0.20363557686099903,"score_spread":0.1811046630270931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973039821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978274,0.00062853977,0.0000846773,0.0009752807,0.00010108802,0.00014364728,0.000014026555,0.0000045967977,0.00022074865],"genre_scores_gemma":[0.9991802,0.00022897535,0.00015619624,0.0002816337,0.00006376741,0.000012041405,0.000018646791,0.000007643712,0.000050927392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991707,0.00003919729,0.00028682186,0.0002881464,0.000014288731,0.00020085077],"domain_scores_gemma":[0.9995322,0.00020482752,0.00013581562,0.000077837714,0.0000012595124,0.000048042635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007708983,0.00008444683,0.000217602,0.000037699818,0.00025061343,0.000048611353,0.000047165315,0.00010520238,0.00004474892],"category_scores_gemma":[0.000033224427,0.00009061307,0.00004180559,0.000014002233,0.00038713292,0.00020214079,0.00009005189,0.0000989251,0.00001421287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012692018,0.0000148316,0.95653826,0.000039208386,0.000016249673,7.360208e-8,0.0010767784,0.0000035510252,0.00022296651,0.040687352,0.000009742435,0.0013897378],"study_design_scores_gemma":[0.0004638468,0.000025181258,0.96596056,0.00000477776,0.0000060071925,0.0000032100697,0.000784376,0.0092409,0.00003889449,0.023326617,0.000057490484,0.00008813805],"about_ca_topic_score_codex":0.00007024688,"about_ca_topic_score_gemma":0.000014339279,"teacher_disagreement_score":0.017360738,"about_ca_system_score_codex":0.00012166021,"about_ca_system_score_gemma":0.00000285381,"threshold_uncertainty_score":0.3695094},"labels":[],"label_agreement":null},{"id":"W1973928635","doi":"10.1080/13657300903351636","title":"A SPATIAL MODEL FOR ESTIMATING CUMULATIVE EFFECTS AT AQUACULTURE SITES","year":2009,"lang":"en","type":"article","venue":"Aquaculture Economics & Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pairwise comparison; Bay; Thematic map; Marine spatial planning; Aquaculture; Environmental science; Geographic information system; Environmental resource management; Cumulative effects; Recreation; Habitat; Fishery; Geography; Cartography; Statistics; Ecology; Mathematics; Fish <Actinopterygii>","score_opus":0.05087380988027662,"score_gpt":0.2361882795521618,"score_spread":0.18531446967188517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973928635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66088766,0.00079295575,0.29556122,0.0021765109,0.00068102404,0.002968028,0.00036994807,0.00017010594,0.03639252],"genre_scores_gemma":[0.9126778,0.00014450662,0.07548053,0.0017060285,0.0002167041,0.00018233538,0.0004685452,0.00004372068,0.0090798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978937,0.00001131487,0.0007751725,0.00082572683,0.00003143005,0.0004626409],"domain_scores_gemma":[0.9988845,0.00004673182,0.0005518309,0.00038286927,0.000012403401,0.000121647354],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038664415,0.0003740676,0.0005421954,0.000121047604,0.00030624805,0.00011954386,0.00029225965,0.00017246524,0.00011877788],"category_scores_gemma":[0.00002854399,0.0004165936,0.00026884011,0.000060858525,0.000042119816,0.00042107463,0.00012177557,0.00012075424,0.00072321633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000155644,0.000447642,0.0096284775,0.00024522832,0.0006636288,0.000005163596,0.004449629,0.32625574,0.00014895476,0.61665416,0.018047506,0.023298206],"study_design_scores_gemma":[0.0016570134,0.00011436198,0.016789764,0.0000209057,0.00005630081,0.0000019139009,0.000074807715,0.8439596,0.0001199386,0.13019824,0.006443421,0.00056369795],"about_ca_topic_score_codex":0.0000313403,"about_ca_topic_score_gemma":0.00007980801,"teacher_disagreement_score":0.5177039,"about_ca_system_score_codex":0.0007227012,"about_ca_system_score_gemma":0.000005192769,"threshold_uncertainty_score":0.9998286},"labels":[],"label_agreement":null},{"id":"W1974471722","doi":"10.1111/j.1755-263x.2009.00084.x","title":"Coral reef quality and recreation fees in marine protected areas","year":2009,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ocean Foundation","keywords":"Marine protected area; Recreation; Business; Coral reef; Scuba diving; Fishery; Willingness to pay; Great barrier reef; Quality (philosophy); Environmental resource management; Marine biodiversity; Reef; Biodiversity; Environmental science; Ecology; Oceanography; Economics; Habitat; Biology","score_opus":0.13379515866301375,"score_gpt":0.24377378413905326,"score_spread":0.10997862547603951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974471722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747574,0.000043992703,0.0011533347,0.022735674,0.000049010552,0.00024226494,0.000007898063,0.000021645727,0.0009888337],"genre_scores_gemma":[0.9904987,0.000037223697,0.0020245786,0.0071628247,0.000025664533,0.000020984055,0.0000898662,0.0000055790233,0.0001345559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921894,0.000024669596,0.00040972614,0.00022365732,0.00001879978,0.00010422805],"domain_scores_gemma":[0.9996181,0.00002552487,0.00020106672,0.00012232253,0.0000053147464,0.000027670147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004125174,0.00007751365,0.00015757426,0.00010548444,0.00004208929,0.000030312842,0.000044293174,0.000048203932,0.00014338974],"category_scores_gemma":[0.00008442323,0.00010011148,0.000020684918,0.000091792324,0.000033674994,0.00027443503,0.0000138500145,0.00006745883,0.00006471591],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018878365,0.000024101984,0.984224,0.0000056411964,0.000003846303,4.5781135e-7,0.00010835851,0.000037419366,0.0015037404,0.011783415,0.00035387155,0.0019362216],"study_design_scores_gemma":[0.0005462051,0.000025040914,0.98834616,0.000007229512,0.0000012497396,9.484484e-7,0.000019438145,0.0011722113,0.00010868926,0.009040455,0.0006167025,0.00011568776],"about_ca_topic_score_codex":0.00044802908,"about_ca_topic_score_gemma":0.000040352985,"teacher_disagreement_score":0.015741378,"about_ca_system_score_codex":0.00012602954,"about_ca_system_score_gemma":0.000004066142,"threshold_uncertainty_score":0.40824276},"labels":[],"label_agreement":null},{"id":"W1974930195","doi":"10.1002/hec.818","title":"A comparison of stated preference methods for estimating monetary values","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Contingent valuation; Willingness to pay; Preference; Economics; Valuation (finance); Welfare; Econometrics; Actuarial science; Statistics; Mathematics; Microeconomics","score_opus":0.4190782070629381,"score_gpt":0.3992616416291808,"score_spread":0.01981656543375726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974930195","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54296106,0.0038743694,0.44797397,0.00027546354,0.0007250968,0.0007808233,0.00019397259,0.0000295978,0.0031856615],"genre_scores_gemma":[0.47963217,0.00028899478,0.51962274,0.00018639793,0.000026040803,0.000057970232,0.00004981679,0.000024040804,0.000111824345],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979586,0.000055797133,0.0013097012,0.00036719185,0.000008666271,0.00030005432],"domain_scores_gemma":[0.9983663,0.00020335114,0.0010491038,0.00026642557,0.000010741438,0.0001040744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017618387,0.00014284642,0.00065990805,0.000106519765,0.00012172212,0.00001922081,0.00012473573,0.00007759276,0.00017239523],"category_scores_gemma":[0.00014896694,0.00019060099,0.00009405153,0.000048054037,0.00005184322,0.000185206,0.000021921986,0.00008697063,0.000067970665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005237992,0.00043464612,0.50955665,0.00061431323,0.0001703239,4.571559e-8,0.0040555075,0.07837624,0.000021636479,0.3170231,0.0014426105,0.08825252],"study_design_scores_gemma":[0.0012192072,0.00038959258,0.03717049,0.000026866031,0.000010034474,0.0000016560477,0.00044748915,0.80869675,0.0006242813,0.13283032,0.018196022,0.00038728624],"about_ca_topic_score_codex":0.0001355368,"about_ca_topic_score_gemma":0.000014809554,"teacher_disagreement_score":0.7303205,"about_ca_system_score_codex":0.00026689676,"about_ca_system_score_gemma":0.000062458355,"threshold_uncertainty_score":0.77724826},"labels":[],"label_agreement":null},{"id":"W1975085673","doi":"10.1108/16605371011093854","title":"Park visitors' perceptions of governance: a comparison between Ontario and British Columbia provincial parks management models","year":2010,"lang":"en","type":"article","venue":"Tourism Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Visitor pattern; Corporate governance; Accountability; Transparency (behavior); Originality; Good governance; Geography; Political science; Public administration; Environmental resource management; Sociology; Qualitative research; Management; Economics; Social science","score_opus":0.0359993487231997,"score_gpt":0.219924750782385,"score_spread":0.18392540205918528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975085673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96251464,0.013838274,0.00040983994,0.00015116142,0.00018984343,0.0006399482,0.00014249366,0.000013097801,0.022100724],"genre_scores_gemma":[0.95464677,0.040466648,0.0015560505,0.00013457474,0.00012266688,0.000063795436,0.000048047154,0.000015764726,0.0029456588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881506,0.000011898573,0.0006785215,0.00030059603,0.00004096165,0.00015294817],"domain_scores_gemma":[0.9992818,0.000012771242,0.00039447699,0.00023387607,0.000008035859,0.000069039],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042838263,0.00009193372,0.00051596103,0.000015216621,0.00008949473,0.000067662666,0.00013326912,0.000076983284,0.0029667513],"category_scores_gemma":[0.000008680938,0.00015165212,0.00008444008,0.000049555256,0.00006383552,0.0002072713,0.00007990844,0.00018811168,0.00009809627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010074833,0.00007910441,0.92394215,0.00045960385,0.000047311674,0.0000014120476,0.00013533332,0.000008713505,9.915102e-7,0.001975769,0.018434182,0.054914426],"study_design_scores_gemma":[0.00027153455,0.00003048727,0.924195,0.0002298535,0.000049517457,0.0000025858285,0.000012906206,0.00015647983,3.7400923e-7,0.0056505003,0.06923025,0.00017052509],"about_ca_topic_score_codex":0.053027235,"about_ca_topic_score_gemma":0.089114256,"teacher_disagreement_score":0.0547439,"about_ca_system_score_codex":0.000107416665,"about_ca_system_score_gemma":0.00001255642,"threshold_uncertainty_score":0.99794465},"labels":[],"label_agreement":null},{"id":"W1975317780","doi":"10.1007/s10640-006-9051-x","title":"‘Adopt a Hypothetical Pup’: A Count Data Approach to the Valuation of Wildlife","year":2006,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"St. Francis Xavier University","keywords":"Contingent valuation; Willingness to pay; Payment card; Wildlife; Count data; Payment; Phone; Valuation (finance); Survey data collection; Economics; Agricultural economics; Geography; Statistics; Ecology; Mathematics; Microeconomics; Finance; Biology","score_opus":0.08656003416142685,"score_gpt":0.1828458954779617,"score_spread":0.09628586131653485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975317780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750851,0.0007587709,0.0018597512,0.001345058,0.000083812876,0.00040110617,0.00065394014,0.000010593432,0.019801866],"genre_scores_gemma":[0.9956703,0.00020437333,0.0015059108,0.0008812782,0.00016856403,0.000025985084,0.0004250998,0.000027542927,0.0010909534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985586,0.00002265364,0.0006305749,0.0005365101,0.00004060833,0.00021109033],"domain_scores_gemma":[0.99898493,0.000041955365,0.00026902198,0.0006288983,0.0000012061223,0.00007397801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008105254,0.00016367291,0.00028052687,0.00006901561,0.0001373109,0.00004614017,0.0003746251,0.0000927887,0.00015911722],"category_scores_gemma":[0.000013123909,0.00015402057,0.000056653633,0.000033135537,0.00020508005,0.00017433956,0.00034568482,0.00010755947,0.00048519307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016987829,0.0019958122,0.6485127,0.0000768814,0.00030499874,0.000001152711,0.0026092548,0.05922252,0.00035444202,0.24323426,0.030981822,0.012536281],"study_design_scores_gemma":[0.001053196,0.00011516766,0.5180043,0.000006917057,0.000035986883,0.000020620359,0.0007308823,0.05949842,0.00008155049,0.008810225,0.41115436,0.0004883843],"about_ca_topic_score_codex":0.00013662459,"about_ca_topic_score_gemma":0.000008734867,"teacher_disagreement_score":0.38017252,"about_ca_system_score_codex":0.00014104949,"about_ca_system_score_gemma":0.0000055526098,"threshold_uncertainty_score":0.6280777},"labels":[],"label_agreement":null},{"id":"W1975399339","doi":"10.1007/s11284-006-0072-2","title":"Appropriate discounting leads to forward‐looking ecosystem management","year":2006,"lang":"en","type":"article","venue":"Ecological Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discounting; Economics; Time preference; Ecology; Ecosystem; Uncertainty; Dynamic inconsistency; Natural resource economics; Environmental resource management; Microeconomics; Mathematics; Biology","score_opus":0.15796327972998206,"score_gpt":0.302401823204511,"score_spread":0.14443854347452892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975399339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8187952,0.00009300653,0.001699093,0.0007839438,0.0001443491,0.00049783057,0.00001810591,0.000030395586,0.17793807],"genre_scores_gemma":[0.99046755,0.00003424696,0.0015296,0.000107256805,0.00018656962,0.00020479753,0.000017577744,0.000018231529,0.007434201],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99812305,0.00005338122,0.0005352854,0.0005592115,0.00010528358,0.000623775],"domain_scores_gemma":[0.99941397,0.000113423055,0.0000970957,0.00026432093,0.000014638296,0.0000965461],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003248483,0.00011758123,0.00026013903,0.0002544352,0.00028952747,0.00013987665,0.00031476194,0.00009987272,0.0015626932],"category_scores_gemma":[0.000091792586,0.00011807374,0.00008137393,0.00024506045,0.000047419326,0.00015071178,0.0003481948,0.00022063436,0.010275858],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001885714,0.0002611922,0.4894971,0.00005749929,0.000027746093,0.000016756234,0.000074940996,0.0032666235,0.000097693875,0.50003517,0.0040322933,0.0026141456],"study_design_scores_gemma":[0.0004193704,0.00014677164,0.88418394,0.000015693942,0.0000025224822,0.0000014489106,0.0001614362,0.0024975608,0.00010329552,0.07259558,0.039627012,0.00024536462],"about_ca_topic_score_codex":0.000092163114,"about_ca_topic_score_gemma":0.00010192152,"teacher_disagreement_score":0.42743957,"about_ca_system_score_codex":0.00058223895,"about_ca_system_score_gemma":0.0000053581075,"threshold_uncertainty_score":0.99935},"labels":[],"label_agreement":null},{"id":"W1975820208","doi":"10.1097/00005768-200305001-01222","title":"WEIGHTING THE BENEFITS OF WEIGHT LOSS PROGRAMS","year":2003,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Weight loss; Weighting; Overweight; Obesity; Medicine; Gerontology; Psychology; Environmental health","score_opus":0.047545903244944725,"score_gpt":0.22921047292105556,"score_spread":0.18166456967611083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975820208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789341,0.00069611846,0.00005549256,0.00039160097,0.00049827347,0.00027891362,0.0000016855133,0.000008968053,0.019134847],"genre_scores_gemma":[0.99831116,0.0008363691,0.00029736507,0.00008114152,0.00004300239,0.000029161385,0.0000029229202,0.000009316358,0.0003895717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984716,0.0000074227214,0.00069303886,0.00038540657,0.00012655735,0.00031594193],"domain_scores_gemma":[0.9991627,0.000024100571,0.00036498575,0.0003593167,0.000015780388,0.000073112824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031462447,0.000118407865,0.00032589777,0.00020621147,0.00013140799,0.000013394967,0.00033359075,0.000038801867,0.0007448638],"category_scores_gemma":[0.0001009433,0.00009031295,0.000039229504,0.0006035279,0.0008713941,0.00030112025,0.0000410532,0.00010694163,0.00005754301],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019999652,0.000048821606,0.97271335,0.0000065837185,2.0201938e-7,0.000001611281,0.0010492889,0.0001526365,0.0000050425497,0.008500668,0.00003234884,0.017487437],"study_design_scores_gemma":[0.0003207879,0.000037490823,0.9873305,0.0000944033,0.000004688487,0.000005240007,0.0004750139,0.00034269705,0.000056040597,0.008454524,0.0027632965,0.000115341565],"about_ca_topic_score_codex":0.00018163459,"about_ca_topic_score_gemma":0.000014974139,"teacher_disagreement_score":0.019377049,"about_ca_system_score_codex":0.00010791662,"about_ca_system_score_gemma":0.000027468834,"threshold_uncertainty_score":0.8155737},"labels":[],"label_agreement":null},{"id":"W1977098838","doi":"10.3141/2133-10","title":"Reference-Dependent Residential Location Choice Model within a Relocation Context","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Transport Canada","keywords":"Relocation; Loss aversion; Econometrics; Prospect theory; Choice set; Context (archaeology); Residential area; Mixed logit; Real estate; Copula (linguistics); Framing effect; Computer science; Economics; Statistics; Microeconomics; Logistic regression; Mathematics; Geography; Engineering; Psychology","score_opus":0.2623008584225972,"score_gpt":0.35130862304213595,"score_spread":0.08900776461953874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977098838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816807,0.0005159726,0.010567831,0.0049884003,0.00042484704,0.0008246239,0.00007166852,0.000023836508,0.000902111],"genre_scores_gemma":[0.99571043,0.000728233,0.0012307529,0.0001673976,0.00017339701,0.000045890614,0.000043177013,0.00003737898,0.0018633154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953136,0.00036604013,0.0021827454,0.0005289405,0.0009941648,0.0006145213],"domain_scores_gemma":[0.99677575,0.00028365638,0.0010726455,0.0005338533,0.00106664,0.00026748146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057388544,0.00022741065,0.00047006825,0.00089611456,0.0005618252,0.00016540317,0.0008852557,0.00024086866,0.0003550295],"category_scores_gemma":[0.00027509299,0.00021294554,0.00023530987,0.0010155318,0.00031223928,0.0011739817,0.000006521097,0.0015705916,0.00021569605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015400968,0.00091184664,0.6264413,0.00021043382,0.00024095309,0.000025776992,0.009379838,0.1049412,0.0030951144,0.23415437,0.009985241,0.009073842],"study_design_scores_gemma":[0.0015767007,0.0004859046,0.9322705,0.00014955999,0.000023155846,4.379384e-7,0.0010931384,0.00501182,0.0008097311,0.056501176,0.0018473545,0.00023049014],"about_ca_topic_score_codex":0.00829879,"about_ca_topic_score_gemma":0.02242604,"teacher_disagreement_score":0.30582923,"about_ca_system_score_codex":0.00065004325,"about_ca_system_score_gemma":0.00032822214,"threshold_uncertainty_score":0.998305},"labels":[],"label_agreement":null},{"id":"W1977201567","doi":"10.5539/ijef.v6n11p221","title":"Measuring the Economic Impact of Water Quality Initiatives: A Case Study of the Fund for Lake Michigan","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trust fund; Economic impact analysis; Government (linguistics); Business; County government; Quality (philosophy); Economics; Finance; Economic growth; Agricultural economics; Natural resource economics; Political science; Public administration","score_opus":0.16607718049397904,"score_gpt":0.29551722157460286,"score_spread":0.12944004108062382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977201567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982326,0.00011797011,0.00020561762,0.00019674728,0.00048380662,0.00018420145,0.00017202552,6.449667e-7,0.00040637233],"genre_scores_gemma":[0.99936956,0.0003104636,0.00009409978,0.00004332545,0.00013136423,0.000006902611,0.0000021069657,0.000010475545,0.000031693355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865484,0.000031945707,0.0010437405,0.00014697349,0.000020316867,0.00010215187],"domain_scores_gemma":[0.9982693,0.00014445513,0.0013456831,0.00017567015,0.000045115536,0.000019762881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013028091,0.00010292646,0.0003432625,0.000081598075,0.00006833633,0.000033043354,0.00032535297,0.00003764219,0.000026863014],"category_scores_gemma":[0.000044891793,0.00006926186,0.0002233866,0.00001342386,0.00009044757,0.0002670351,0.00008127898,0.00008688993,0.0000031708907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028635966,0.00036209525,0.69251674,0.000024226187,0.0011667951,0.000003287491,0.010325438,0.20136607,0.00006942159,0.09128266,0.00004341282,0.002553525],"study_design_scores_gemma":[0.0051454115,0.0010303457,0.9094089,0.000043217744,0.0000515272,0.00031258413,0.0027418248,0.03720367,0.0007991152,0.03918193,0.0037447473,0.00033671467],"about_ca_topic_score_codex":0.00039249836,"about_ca_topic_score_gemma":0.0010036699,"teacher_disagreement_score":0.2168922,"about_ca_system_score_codex":0.00011930047,"about_ca_system_score_gemma":0.00003298979,"threshold_uncertainty_score":0.28244168},"labels":[],"label_agreement":null},{"id":"W1977561751","doi":"10.1016/j.jocm.2014.12.001","title":"Too many attributes: A test of the validity of combining discrete-choice and best–worst scaling data","year":2015,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Preference; Variance (accounting); Confounding; Statistics; Econometrics; Sample size determination; Computer science; Sample (material); Conjoint analysis; Object (grammar); Mathematics; Artificial intelligence; Economics","score_opus":0.40049335863368934,"score_gpt":0.2853370130650486,"score_spread":0.11515634556864074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977561751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9400748,0.0013290672,0.057388164,0.0002899176,0.00024846094,0.000080530226,0.0001151449,0.0000020519126,0.00047187577],"genre_scores_gemma":[0.99660665,0.00034719307,0.0027809702,0.00003473593,0.00014037984,6.236532e-7,0.0000069917264,0.000014653494,0.00006778528],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850506,0.000027622515,0.0010490123,0.00018552374,0.000090442496,0.00014236722],"domain_scores_gemma":[0.99758387,0.00040426274,0.0015006607,0.00037393186,0.000048960395,0.00008831171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018436528,0.00011082154,0.0004339942,0.000088285255,0.0000647465,0.000033018117,0.00045449397,0.00006893708,0.000013763362],"category_scores_gemma":[0.0005276624,0.00009875827,0.00008936974,0.00009403941,0.00008941624,0.00060906267,0.0002109745,0.00021021241,0.000005160959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007845335,0.00011822698,0.8501483,0.000041984746,0.00004727616,3.0448248e-7,0.0004589265,0.14803723,0.00007338041,0.0007729558,0.00014208767,0.00015145131],"study_design_scores_gemma":[0.0019202048,0.00027209654,0.0645727,0.0003085483,0.00011166438,0.00001968989,0.00060758635,0.91906184,0.00059134455,0.009768519,0.002499861,0.00026592365],"about_ca_topic_score_codex":0.00018817603,"about_ca_topic_score_gemma":0.00000829114,"teacher_disagreement_score":0.7855756,"about_ca_system_score_codex":0.00008766418,"about_ca_system_score_gemma":0.000031711897,"threshold_uncertainty_score":0.40272453},"labels":[],"label_agreement":null},{"id":"W1977720604","doi":"10.1111/1475-6773.01115","title":"Measuring Preferences for Health Care Interventions Using Conjoint Analysis: An Application to HIV Testing","year":2002,"lang":"en","type":"article","venue":"Health Services Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":226,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Services and Policy Research","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Conjoint analysis; Willingness to pay; Preference; Test (biology); Consistency (knowledge bases); Ordered probit; Actuarial science; Psychology; Statistics; Medicine; Applied psychology; Econometrics; Computer science; Economics; Mathematics","score_opus":0.6193771472628452,"score_gpt":0.4312965545459327,"score_spread":0.18808059271691252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977720604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93871707,0.0054090726,0.05116718,0.0016294407,0.00007312526,0.0018550892,0.000317279,0.00004994038,0.00078178395],"genre_scores_gemma":[0.986866,0.00010071787,0.0118607925,0.0005528759,0.000085286694,0.00028001412,0.00017471492,0.000019330295,0.000060246133],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979669,0.00009803345,0.0007967616,0.00054540025,0.00008730148,0.00050559576],"domain_scores_gemma":[0.9987841,0.00007460894,0.00043022766,0.00035451681,0.00008167505,0.00027486807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023002548,0.000102980375,0.0003536927,0.0006059073,0.0006288505,0.00010649326,0.0002571222,0.00004885064,0.00012531134],"category_scores_gemma":[0.000024445455,0.00012757845,0.00009758282,0.00070446916,0.000023345792,0.00026983838,0.00008318696,0.0001372354,0.00031632648],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030183417,0.00044171792,0.87289006,0.004342125,0.0002350849,1.8197318e-7,0.035710633,0.046708275,0.00003543305,0.0044271904,0.00016808875,0.035011046],"study_design_scores_gemma":[0.00044986923,0.0005566838,0.38213566,0.00022820046,0.000014104187,7.2484306e-7,0.009097773,0.6042091,0.00001571443,0.0013042943,0.0017420034,0.0002458822],"about_ca_topic_score_codex":0.0050344886,"about_ca_topic_score_gemma":0.003733115,"teacher_disagreement_score":0.55750084,"about_ca_system_score_codex":0.00087241305,"about_ca_system_score_gemma":0.000035128916,"threshold_uncertainty_score":0.76106745},"labels":[],"label_agreement":null},{"id":"W1978117619","doi":"10.1139/f10-046","title":"Diversity and complexity of angler behaviour drive socially optimal input and output regulations in a bioeconomic recreational-fisheries model","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":210,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fishing; Sustainability; Fisheries management; Fishery; Pike; Population; Recreational fishing; Recreation; Welfare; Business; Environmental resource management; Fish <Actinopterygii>; Natural resource economics; Economics; Ecology; Biology","score_opus":0.1312845002311372,"score_gpt":0.2197455294761223,"score_spread":0.08846102924498511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978117619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99658114,0.00022132801,0.00019097034,0.0021074528,0.00008549447,0.000057533314,0.00003409059,8.2256616e-7,0.0007211409],"genre_scores_gemma":[0.99502563,0.000096773816,0.0047060875,0.0000740021,0.000016736763,8.883397e-7,0.0000016347999,0.0000028264944,0.00007544391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937415,0.000008829902,0.0003412164,0.000135362,0.00002569749,0.000114718016],"domain_scores_gemma":[0.9994912,0.00003600275,0.0002848512,0.000046211444,0.000009863961,0.00013186932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005273323,0.00006687046,0.00020809504,0.0001763654,0.0005150987,0.000058369445,0.00009224146,0.000048986385,0.00007411612],"category_scores_gemma":[0.00006222687,0.00007288613,0.0000248235,0.00005685902,0.0012455984,0.0005010616,0.00005930119,0.000080581965,5.454564e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002558058,0.000005963616,0.97873724,0.0000031789284,0.000006553911,4.919278e-7,0.0036012935,0.000110284825,0.000005535437,0.016958762,0.000037817357,0.0005303385],"study_design_scores_gemma":[0.0002198966,0.00006200049,0.9377856,0.000009298494,0.0000060457724,0.00000774857,0.0010028861,0.016157629,0.000005413653,0.044605937,0.000058112666,0.00007943555],"about_ca_topic_score_codex":0.008111693,"about_ca_topic_score_gemma":0.039296765,"teacher_disagreement_score":0.04095163,"about_ca_system_score_codex":0.00004292243,"about_ca_system_score_gemma":0.0001368143,"threshold_uncertainty_score":0.9984934},"labels":[],"label_agreement":null},{"id":"W1979011328","doi":"10.1191/0309132504ph517oa","title":"Spatial choice modelling: new opportunities to incorporate space into substitution patterns","year":2004,"lang":"en","type":"article","venue":"Progress in Human Geography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Wilfrid Laurier University; Ministry of Natural Resources and Forestry","funders":"Ministry of Natural Resources","keywords":"Generality; Substitution (logic); Space (punctuation); Field (mathematics); Focus (optics); Computer science; Discrete choice; Economics; Mathematics; Machine learning","score_opus":0.1467598813533981,"score_gpt":0.25413564446684467,"score_spread":0.10737576311344657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979011328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9531148,0.0012029633,0.043435704,0.00073682837,0.00022446414,0.00035260126,0.000023620594,0.000046882313,0.0008621024],"genre_scores_gemma":[0.9963837,0.0001448673,0.0028888432,0.00016169873,0.00015392415,0.00008218283,0.000086467204,0.000024767554,0.000073521645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868715,0.000010714861,0.0005266279,0.00044257182,0.00004879642,0.00028413444],"domain_scores_gemma":[0.9993181,0.000007998184,0.0002469809,0.00026522332,0.000009340021,0.00015233173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002602531,0.00018560121,0.00026246163,0.00053968414,0.00013445165,0.00009905306,0.00021120845,0.00009439342,0.00016222251],"category_scores_gemma":[0.0000047916997,0.0002420897,0.00009445326,0.00013335998,0.00010566184,0.00036913046,0.00007719755,0.00013297006,0.00014735536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070209676,0.00008975412,0.89168954,0.000015694948,0.000016206603,0.0000032527334,0.00067278085,0.019424787,0.0000014962819,0.08659579,0.0000136144,0.0014700704],"study_design_scores_gemma":[0.0012470412,0.00017132521,0.84374976,0.000067407476,0.000008176146,0.0000011560253,0.00011517386,0.0015317993,0.0001509448,0.14767484,0.0047770897,0.00050528935],"about_ca_topic_score_codex":0.006248283,"about_ca_topic_score_gemma":0.0009279896,"teacher_disagreement_score":0.06107906,"about_ca_system_score_codex":0.0001975306,"about_ca_system_score_gemma":0.000018471494,"threshold_uncertainty_score":0.98721313},"labels":[],"label_agreement":null},{"id":"W1979344163","doi":"10.1016/j.ecolecon.2008.02.008","title":"Ecosystem service value assessment for constructed wetlands: A case study in Hangzhou, China","year":2008,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":167,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Wetland; Ecosystem services; China; Total economic value; Contingent valuation; Value (mathematics); Valuation (finance); Ecosystem; Environmental resource management; Environmental science; Resource (disambiguation); Willingness to pay; Natural resource economics; Geography; Economics; Ecology; Mathematics; Statistics","score_opus":0.1050702986970693,"score_gpt":0.2499022652335738,"score_spread":0.14483196653650451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979344163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99259126,0.000043356788,0.00051803875,0.0003370341,0.00048087438,0.0015915743,0.0002682093,0.000047327536,0.0041223387],"genre_scores_gemma":[0.9963735,0.00008862335,0.002430516,0.00037911144,0.00010558433,0.00044165459,0.000057912297,0.00003230936,0.00009082511],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975674,0.000051335297,0.001199358,0.000738267,0.00001810166,0.00042550865],"domain_scores_gemma":[0.9988686,0.0001753551,0.00047024587,0.00034546966,0.000011996173,0.00012832422],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009407962,0.00026357104,0.00074706407,0.00018464327,0.00025601182,0.000049982227,0.00023719792,0.00020411517,0.00072529074],"category_scores_gemma":[0.000049613795,0.00030261136,0.00013783804,0.000120582656,0.000043601853,0.00028841948,0.00011905451,0.00019666331,0.00031080915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025164272,0.00077123765,0.9720198,0.000020722657,0.00007031694,0.00015115153,0.00069286715,0.0098641,0.0000012841218,0.016134955,0.000083519575,0.00016490249],"study_design_scores_gemma":[0.003966973,0.00049821177,0.8963172,0.0000046212135,0.000011988851,0.0005922489,0.0017197334,0.088879295,0.0000038896424,0.006581586,0.0009684597,0.00045581546],"about_ca_topic_score_codex":0.00056255166,"about_ca_topic_score_gemma":0.0042824615,"teacher_disagreement_score":0.079015195,"about_ca_system_score_codex":0.0008637511,"about_ca_system_score_gemma":0.00005261598,"threshold_uncertainty_score":0.9999426},"labels":[],"label_agreement":null},{"id":"W1979545320","doi":"10.1007/s11127-007-9260-z","title":"Step return versus net reward in the voluntary provision of a threshold public good: An adversarial collaboration","year":2007,"lang":"en","type":"article","venue":"Public Choice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Guelph","funders":"National Science Foundation","keywords":"Public finance; Public good; Affect (linguistics); Stochastic game; Turnover; Economics; Value (mathematics); Actuarial science; Microeconomics; Public economics; Business; Psychology; Statistics; Mathematics","score_opus":0.11077118398841214,"score_gpt":0.2612647785517369,"score_spread":0.15049359456332478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979545320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752316,0.00024348724,0.00047860446,0.002979682,0.0006975459,0.00042991462,0.00005746808,0.000019030664,0.019862656],"genre_scores_gemma":[0.99867594,0.00004500166,0.00027093996,0.00034405687,0.00028875997,0.000022702276,0.00020309062,0.000016338423,0.00013315315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985371,0.000039089973,0.0006717807,0.00035990498,0.00008860624,0.00030347254],"domain_scores_gemma":[0.99893516,0.00014081436,0.0003927216,0.0004252641,0.00002717542,0.000078867066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026201874,0.00012866479,0.00022667834,0.00025475383,0.00008756587,0.000121202065,0.00035721526,0.0001361514,0.00026037064],"category_scores_gemma":[0.00024353224,0.00012950829,0.000055515422,0.0004703528,0.00006386509,0.0013591821,0.000058940917,0.00017526765,0.00007026615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001276901,0.00032369702,0.9417858,0.000016770624,0.00003085067,0.0000011303974,0.0013315844,0.0000683103,0.000045736073,0.050954133,0.0020059987,0.003308281],"study_design_scores_gemma":[0.0033044936,0.0003670549,0.89503103,0.000006488156,0.000009037504,0.0000015527954,0.001762209,0.0070011956,0.000029806957,0.0020825115,0.09013362,0.00027102086],"about_ca_topic_score_codex":0.00064605166,"about_ca_topic_score_gemma":0.0041417647,"teacher_disagreement_score":0.08812763,"about_ca_system_score_codex":0.000333604,"about_ca_system_score_gemma":0.00004856759,"threshold_uncertainty_score":0.52811944},"labels":[],"label_agreement":null},{"id":"W1979606812","doi":"10.1108/14777830810894238","title":"Economic instruments and the conservation of biodiversity","year":2008,"lang":"en","type":"article","venue":"Management of Environmental Quality An International Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Biodiversity; Originality; Natural resource economics; Measurement of biodiversity; Value (mathematics); Biodiversity conservation; Environmental resource management; Economics; Business; Public economics; Environmental planning; Geography; Ecology; Sociology; Biology; Social science","score_opus":0.10531747013245132,"score_gpt":0.24014895347057572,"score_spread":0.1348314833381244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979606812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961582,0.00008997413,0.00027752767,0.0005121004,0.0002478613,0.00010456136,0.00015747732,0.0000024064236,0.0024499216],"genre_scores_gemma":[0.99632657,0.0027140004,0.0005856712,0.0001812796,0.00002561074,0.0000023012137,0.000028527795,0.0000034598656,0.0001325794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990568,0.000046704314,0.00059930474,0.00014564555,0.00007939306,0.00007214152],"domain_scores_gemma":[0.9991834,0.000020944623,0.0006352367,0.00012353588,0.000002864216,0.000034019336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008792557,0.00007416785,0.00017713041,0.000072710536,0.000118051794,0.000016107453,0.00025371384,0.000027440545,0.0006814836],"category_scores_gemma":[0.0000045258166,0.00007336695,0.000077137825,0.000012133178,0.00040129427,0.00043706593,0.0001302994,0.0000732074,0.00006526696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012957428,0.00014152608,0.929782,0.0000077073655,0.00026492507,0.0000014662477,0.00050686987,0.00012157198,0.000023360531,0.06770265,0.00005986085,0.0012584942],"study_design_scores_gemma":[0.002271708,0.000040101375,0.9894837,0.0000060752795,0.000010177977,0.000015596124,0.0006234686,0.00030623196,0.00008897461,0.006316949,0.00076147105,0.00007554842],"about_ca_topic_score_codex":0.00015911652,"about_ca_topic_score_gemma":0.000002969398,"teacher_disagreement_score":0.061385702,"about_ca_system_score_codex":0.00015649365,"about_ca_system_score_gemma":0.0000027648168,"threshold_uncertainty_score":0.7461767},"labels":[],"label_agreement":null},{"id":"W1979709677","doi":"10.4000/vertigo.10746","title":"Paiements pour services environnementaux – de la theorie a la pratique en Indonesie","year":2011,"lang":"fr","type":"article","venue":"VertigO","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03386481504439895,"score_gpt":0.20895404280729457,"score_spread":0.17508922776289562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979709677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9056324,0.0036203896,0.0049351384,0.0006525746,0.0004977673,0.00025681363,0.00012885821,0.00002443073,0.08425165],"genre_scores_gemma":[0.9827965,0.0036857137,0.005378189,0.00089605915,0.00016217813,0.00006769523,0.000039645023,0.000048993257,0.0069250613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983115,0.0002599772,0.0005570641,0.0004349172,0.000038178052,0.00039836494],"domain_scores_gemma":[0.9990731,0.00016461118,0.000319,0.00032350293,0.0000041779813,0.00011560619],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012384914,0.00024069143,0.0002979691,0.00010973812,0.000117188494,0.00007226232,0.0002936754,0.0003474967,0.0073360815],"category_scores_gemma":[0.00002688246,0.00032121007,0.00012515442,0.00007092363,0.00017684449,0.00046525663,0.0001450614,0.00023452028,0.0027525825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019937792,0.0003893419,0.75414366,0.00008122293,0.00012667291,0.000010357327,0.0047638346,0.000042351297,0.00007649596,0.23713788,0.0004972083,0.0027110316],"study_design_scores_gemma":[0.0012878053,0.000119403165,0.83846956,0.000079239406,0.000050661252,0.0000143703755,0.0014462164,0.0016033789,0.001204045,0.054231312,0.10106211,0.0004318745],"about_ca_topic_score_codex":0.000711989,"about_ca_topic_score_gemma":0.000053187177,"teacher_disagreement_score":0.18290657,"about_ca_system_score_codex":0.0005181442,"about_ca_system_score_gemma":0.000046457204,"threshold_uncertainty_score":0.999924},"labels":[],"label_agreement":null},{"id":"W1979832209","doi":"10.1002/hec.1563","title":"Hypothetical versus real preferences: results from an opportunistic field experiment","year":2009,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"Medical Research Council","keywords":"Economics; Field (mathematics); Econometrics; Statistics; Mathematics","score_opus":0.32005633775449854,"score_gpt":0.3134003584386418,"score_spread":0.006655979315856764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979832209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94193447,0.0002658276,0.00042329423,0.005199929,0.0009154497,0.00029333108,0.00080171414,0.000059475187,0.0501065],"genre_scores_gemma":[0.9915054,0.0025884185,0.0019317166,0.0029114033,0.00025984104,0.000016993186,0.0005645605,0.000019701314,0.00020197984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99789125,0.000025812018,0.0010565992,0.000638839,0.000019587347,0.00036791968],"domain_scores_gemma":[0.9985605,0.00012550122,0.00046507767,0.00052856194,0.0000043244427,0.00031606006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004895706,0.0001836974,0.00041778362,0.00007514783,0.00013638726,0.00006573741,0.00022401297,0.00013489515,0.0006811036],"category_scores_gemma":[0.000045880173,0.00023640167,0.000073216404,0.000027946666,0.00003877385,0.000284622,0.00003077984,0.00013610977,0.0007696538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019338657,0.0011856273,0.0146884015,0.000022603735,0.00012822454,0.0000051180045,0.005575479,0.0013181345,0.000019652132,0.8328542,0.00679113,0.13547753],"study_design_scores_gemma":[0.019075984,0.010559883,0.41516075,0.00007304804,0.000035433244,0.000007700758,0.002443773,0.070269175,0.00036960922,0.3363426,0.14284144,0.0028206047],"about_ca_topic_score_codex":0.0015760476,"about_ca_topic_score_gemma":0.00019553733,"teacher_disagreement_score":0.49651164,"about_ca_system_score_codex":0.0004902789,"about_ca_system_score_gemma":0.00007313468,"threshold_uncertainty_score":0.98925996},"labels":[],"label_agreement":null},{"id":"W1979898384","doi":"10.2202/1546-5616.1003","title":"Assessing Heterogeneity in Discrete Choice Models Using a Dirichlet Process Prior","year":2004,"lang":"en","type":"article","venue":"Review of Marketing Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mixing (physics); A priori and a posteriori; Dirichlet distribution; Computer science; Component (thermodynamics); Mixture model; Dirichlet process; Process (computing); Mathematics; Distribution (mathematics); Algorithm; Mathematical optimization; Econometrics; Applied mathematics; Statistics; Bayesian probability; Mathematical analysis","score_opus":0.15756854395517572,"score_gpt":0.3352281127286015,"score_spread":0.17765956877342576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979898384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97606236,0.016658645,0.0041108127,0.00013711095,0.00006421273,0.00024762578,0.0000052948167,0.0000075140224,0.002706406],"genre_scores_gemma":[0.9898542,0.004812557,0.0051176837,0.00017535756,0.000015128414,0.00000972122,0.000001405509,0.000008745764,0.0000051960938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985303,0.00004129811,0.00068606023,0.00041720975,0.000079064106,0.00024601893],"domain_scores_gemma":[0.9990978,0.00007083574,0.00053482375,0.00022800837,0.000017472812,0.000051058596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007746409,0.000103763174,0.0003420126,0.00013111145,0.000111382564,0.000055043834,0.00030616927,0.000027136724,0.000030010227],"category_scores_gemma":[0.0009151919,0.00011217817,0.00006243361,0.00047954192,0.00017787167,0.0012985758,0.000082640465,0.000078918456,0.000010518877],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001401655,0.00022484412,0.904796,0.009073607,0.000016471362,0.000002348301,0.00035312292,0.06595023,0.0010169894,0.005545605,0.000004006375,0.013002782],"study_design_scores_gemma":[0.00064032257,0.000025238634,0.87860125,0.012126909,0.000013913543,0.000010210244,0.000081451864,0.10156462,0.0005955332,0.005750605,0.000105405634,0.00048451868],"about_ca_topic_score_codex":0.00011593205,"about_ca_topic_score_gemma":0.0000069123785,"teacher_disagreement_score":0.035614394,"about_ca_system_score_codex":0.00034910202,"about_ca_system_score_gemma":0.00007430084,"threshold_uncertainty_score":0.4574493},"labels":[],"label_agreement":null},{"id":"W1980163560","doi":"10.1007/s00267-006-0233-7","title":"Urban Flood Problems in Dhaka, Bangladesh: Slum Residents’ Choices for Relocation to Flood-Free Areas","year":2007,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Lakehead University","funders":"","keywords":"Relocation; Flood myth; Incentive; Human settlement; Business; Slum; Floodplain; Geography; Flooding (psychology); Socioeconomics; Environmental planning; Agricultural economics; Economics; Population; Environmental health","score_opus":0.03831683938170203,"score_gpt":0.2013291151204669,"score_spread":0.16301227573876487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980163560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95279944,0.0009081561,0.013090534,0.0006956554,0.0005181754,0.0026514786,0.00013721503,0.000047499805,0.029151822],"genre_scores_gemma":[0.99034286,0.00020989167,0.0038006625,0.0005140487,0.00013405716,0.00035274212,0.00017990236,0.000049608312,0.0044162185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794316,0.000011898206,0.00079705333,0.0006891485,0.000087875196,0.00047085987],"domain_scores_gemma":[0.99905527,0.000031824093,0.0002361124,0.000551147,0.0000011700906,0.00012449031],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010616236,0.00023037012,0.0002711693,0.00036626507,0.00011069191,0.000051264913,0.0003848255,0.000090815076,0.0005347278],"category_scores_gemma":[0.00001678603,0.00030412094,0.00009473613,0.00013711404,0.000043207998,0.00023723042,0.0002600612,0.00009128366,0.0014160997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000512369,0.00045317673,0.9689884,0.00009525562,0.00009818438,0.000004415625,0.0007897205,0.0025610127,0.00011781289,0.017126292,0.004968528,0.0047459365],"study_design_scores_gemma":[0.001775715,0.00013927561,0.9593856,0.000031094198,0.000015379563,8.4173314e-7,0.0005061569,0.000467001,0.00022234616,0.0061819237,0.03091447,0.0003602178],"about_ca_topic_score_codex":0.00017437011,"about_ca_topic_score_gemma":0.00020421672,"teacher_disagreement_score":0.037543405,"about_ca_system_score_codex":0.0007562251,"about_ca_system_score_gemma":0.0000020057691,"threshold_uncertainty_score":0.9999411},"labels":[],"label_agreement":null},{"id":"W1981062970","doi":"10.1111/j.1744-7976.2009.01177.x","title":"Alberta Consumers’ Valuation of Extrinsic and Intrinsic Red Meat Attributes: A Choice Experimental Approach","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Valuation (finance); Microeconomics; Business; Economics; Econometrics; Advertising","score_opus":0.09076608200114994,"score_gpt":0.17977638238446547,"score_spread":0.08901030038331553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981062970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99074006,0.0022767754,0.00003471872,0.0017592029,0.00057091843,0.00035308034,0.00014909435,0.0000050440153,0.004111088],"genre_scores_gemma":[0.99818087,0.0001931429,0.00047000573,0.0002776444,0.00025043476,0.0000084303065,0.00009073506,0.000022340688,0.00050642877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972289,0.00003335554,0.0016379069,0.0005013708,0.000011549488,0.00058690424],"domain_scores_gemma":[0.9970817,0.000108594315,0.001522615,0.00027833757,0.000065390894,0.00094334915],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053742185,0.00034668966,0.00095962745,0.0004691162,0.00017441263,0.00011090203,0.00038461795,0.00019712666,0.00033293373],"category_scores_gemma":[0.00014423483,0.0003749428,0.0002644623,0.00012966871,0.00017529512,0.00093599374,0.000025008774,0.00024151853,0.00004647276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014480345,0.00028963105,0.6429369,0.000119315846,0.00095163967,0.000018242486,0.008512218,0.008138571,0.00083305174,0.3275716,0.0038437454,0.006640299],"study_design_scores_gemma":[0.002182311,0.0006739993,0.98082453,0.00005126756,0.00006624986,0.00032334687,0.0018594473,0.0006801405,0.00047067658,0.006204525,0.0059812386,0.0006822673],"about_ca_topic_score_codex":0.030508047,"about_ca_topic_score_gemma":0.112569846,"teacher_disagreement_score":0.33788764,"about_ca_system_score_codex":0.0015866867,"about_ca_system_score_gemma":0.00018703785,"threshold_uncertainty_score":0.99987024},"labels":[],"label_agreement":null},{"id":"W1981153166","doi":"10.1017/s1350482703005048","title":"Using willingness‐to‐pay to assess the economic value of weather forecasts for multiple commercial sectors","year":2003,"lang":"en","type":"article","venue":"Meteorological Applications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Valuation (finance); Recreation; Business; Contingent valuation; Value (mathematics); Agricultural economics; National weather service; Landscaping; Actuarial science; Meteorology; Economics; Finance; Geography; Statistics; Mathematics","score_opus":0.2522286245251898,"score_gpt":0.29530565633714023,"score_spread":0.04307703181195044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981153166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.620771,0.000039680246,0.37620008,0.00034983119,0.000100041,0.0010162555,0.0001733093,0.000011376479,0.0013384257],"genre_scores_gemma":[0.9675274,0.0000073027268,0.030822312,0.0005592273,0.00007801713,0.0008764462,0.00001591798,0.000019437937,0.00009393857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988783,0.000030570598,0.0005002329,0.00035273243,0.00002029464,0.0002178706],"domain_scores_gemma":[0.9991163,0.0002687082,0.00020623332,0.00031433243,0.00001088117,0.00008352241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073853665,0.00012562168,0.00029349598,0.00005820027,0.00018490393,0.000022395756,0.00024118098,0.00008772925,0.00027002097],"category_scores_gemma":[0.00009579948,0.00009964723,0.00012350036,0.00010663715,0.00006094657,0.000060529383,0.000046051282,0.00006995737,0.0002671428],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025484998,0.00013087828,0.3409731,0.000010249092,0.000055854107,3.4978136e-8,0.00018981766,0.06050782,0.00084482046,0.59468687,0.00025498754,0.0023200705],"study_design_scores_gemma":[0.0011608955,0.0003387223,0.5545544,0.0000066492794,0.000056088185,0.000003655717,0.00015521901,0.050722163,0.003986744,0.13127366,0.25709864,0.0006431554],"about_ca_topic_score_codex":0.00008818702,"about_ca_topic_score_gemma":0.00003590521,"teacher_disagreement_score":0.4634132,"about_ca_system_score_codex":0.00019142732,"about_ca_system_score_gemma":0.000014247226,"threshold_uncertainty_score":0.4063496},"labels":[],"label_agreement":null},{"id":"W1981171841","doi":"10.1080/10454446.2012.684992","title":"Canadian Consumer Willingness to Pay for Omega-3 Meat","year":2012,"lang":"en","type":"article","venue":"Journal of Food Products Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Omega; Product (mathematics); Business; Marketing; Advertising; Agricultural economics; Agricultural science; Economics; Mathematics; Biology","score_opus":0.07562550599528607,"score_gpt":0.21891290572087255,"score_spread":0.14328739972558646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981171841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878257,0.0028365657,0.00056173507,0.0033360233,0.001663429,0.0002709803,0.00004588812,0.00000434333,0.0034553455],"genre_scores_gemma":[0.99350244,0.0000737982,0.0047252313,0.0003350211,0.0007748595,0.000006794264,0.0000034479726,0.000022922468,0.00055549876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880505,0.000026458298,0.0006249037,0.0001570866,0.000032849723,0.00035364993],"domain_scores_gemma":[0.9989785,0.0000938363,0.00048366585,0.00014072328,0.000048679532,0.00025460735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036948903,0.00010389895,0.00026992147,0.0001917131,0.00010903378,0.000039527178,0.00013925337,0.000050051254,0.00012513554],"category_scores_gemma":[0.0010189497,0.00009967645,0.000077034056,0.000102721046,0.000011789921,0.00039169818,0.000019961875,0.00010946796,0.000094891664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007945099,0.000054656186,0.98316306,0.000060096732,0.000124985,4.935904e-7,0.00058042485,0.00014245762,0.0002023727,0.003548087,0.005290619,0.0067532877],"study_design_scores_gemma":[0.00074399606,0.0002206438,0.52249897,0.00006409035,0.00003093411,0.000038450136,0.00021187632,0.000070097434,0.0016010202,0.0011007172,0.47306105,0.0003581911],"about_ca_topic_score_codex":0.0002652414,"about_ca_topic_score_gemma":0.0003158658,"teacher_disagreement_score":0.46777043,"about_ca_system_score_codex":0.00029980947,"about_ca_system_score_gemma":0.0000502586,"threshold_uncertainty_score":0.40646875},"labels":[],"label_agreement":null},{"id":"W1981410529","doi":"10.1016/j.jort.2014.03.005","title":"Examining the impact of fisheries resources and quality on licence sales","year":2014,"lang":"en","type":"article","venue":"Journal of Outdoor Recreation and Tourism","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Simon Fraser University","funders":"","keywords":"Fishing; Recreation; Business; Population; Stocking; Scale (ratio); Quality (philosophy); Commercial fishing; Fishery; Resource (disambiguation); Geography; Destinations; Environmental resource management; Natural resource; Tourism; Economics; Ecology; Forestry","score_opus":0.135828214562796,"score_gpt":0.2698372005290106,"score_spread":0.1340089859662146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981410529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398845,0.0005270133,0.00030723112,0.0003912069,0.00004623157,0.000038650614,0.0000052272567,0.000001735468,0.004694235],"genre_scores_gemma":[0.99866956,0.0006282076,0.0002633744,0.00005251815,0.00009065045,7.920647e-7,0.0000012363442,0.000004530173,0.00028914958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938214,0.00004027757,0.00041368502,0.0000799577,0.00002765118,0.000056302328],"domain_scores_gemma":[0.9990585,0.00016008757,0.00065507274,0.000077545075,0.000010932726,0.000037906517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010235212,0.000060058548,0.00020271531,0.00006255626,0.00005756232,0.00003422437,0.000051762618,0.00003592889,0.00007043723],"category_scores_gemma":[0.00015812543,0.000043176864,0.00004921514,0.000026309282,0.00006973205,0.00015481134,0.000014012808,0.00007449612,0.0000056505196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004977429,0.000030586394,0.98599035,0.000008740186,0.000044071447,2.0952099e-7,0.001941925,0.00014402297,0.000107342035,0.0047924845,0.0003227367,0.00656777],"study_design_scores_gemma":[0.00032834028,0.00028676382,0.994832,0.00002169409,0.000005176888,0.000005120303,0.00036996082,0.00039016546,0.000063464126,0.0021809873,0.0014660273,0.000050309427],"about_ca_topic_score_codex":0.000118590826,"about_ca_topic_score_gemma":0.0000034399484,"teacher_disagreement_score":0.008841653,"about_ca_system_score_codex":0.000028960258,"about_ca_system_score_gemma":0.0000038069766,"threshold_uncertainty_score":0.17607014},"labels":[],"label_agreement":null},{"id":"W1981968044","doi":"10.1111/1475-6773.01116","title":"Measuring What People Value: A Comparison of “Attitude” and “Preference” Surveys","year":2002,"lang":"en","type":"article","venue":"Health Services Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":188,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Services and Policy Research","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Conjoint analysis; Preference; Ranking (information retrieval); Contrast (vision); Psychology; Valuation (finance); Ordered probit; Social psychology; Statistics; Econometrics; Computer science; Mathematics; Economics; Information retrieval; Artificial intelligence","score_opus":0.5535106638497004,"score_gpt":0.3701367956013219,"score_spread":0.18337386824837848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981968044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744516,0.021745294,0.00011465263,0.0007268142,0.000103080594,0.0002843562,0.00002123527,0.0000109886505,0.0025419989],"genre_scores_gemma":[0.9889185,0.010476043,0.00020872861,0.00011139517,0.000031290507,0.000023549503,0.000014437815,0.000014209921,0.00020185701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833745,0.00020471787,0.0006084465,0.0003506792,0.00011192281,0.0003867867],"domain_scores_gemma":[0.9991207,0.00013143598,0.00030084085,0.00027235047,0.000026393445,0.00014825715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003981858,0.000092029775,0.0003901856,0.00022133235,0.00021470583,0.00009893796,0.00020421678,0.00006931568,0.0007702049],"category_scores_gemma":[0.000013606361,0.000108284556,0.000030467321,0.00022068874,0.00006112748,0.0004817685,0.0001422264,0.00021110583,0.0005775124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036156164,0.00012629549,0.9780582,0.00049911946,0.000014572205,1.04518676e-7,0.008882128,0.000120151235,0.0000058524965,0.002517602,0.00006137491,0.009710954],"study_design_scores_gemma":[0.00034392605,0.0001375864,0.9610624,0.00009754145,8.123478e-7,6.8258765e-7,0.0031216647,0.032946784,0.000029413519,0.0015042905,0.0006587794,0.00009613018],"about_ca_topic_score_codex":0.0049948953,"about_ca_topic_score_gemma":0.0017733454,"teacher_disagreement_score":0.032826632,"about_ca_system_score_codex":0.00016421241,"about_ca_system_score_gemma":0.000011716967,"threshold_uncertainty_score":0.8433203},"labels":[],"label_agreement":null},{"id":"W1982056773","doi":"10.1093/cep/byh030","title":"Multicultural Evaluation of the Performance of Contingent Valuation for Forest Fire Prevention","year":2004,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Contingent valuation; Willingness to pay; Prescribed burn; Valuation (finance); Ethnic group; African american; Economics; Multiculturalism; Welfare; Demographic economics; Socioeconomics; Geography; Psychology; Political science; Forestry; Finance; Sociology","score_opus":0.17866906183845901,"score_gpt":0.2808515460939956,"score_spread":0.10218248425553658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982056773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994266,0.0007553194,0.00020918324,0.0004898942,0.00033836922,0.0012006039,0.00013424919,0.000008377486,0.0025980286],"genre_scores_gemma":[0.99905723,0.0000569246,0.00021530516,0.000054776723,0.00012878537,0.00014298304,0.000075076314,0.000016157808,0.00025273766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986106,0.000028907807,0.00091898517,0.0002502956,0.00004659796,0.00014457651],"domain_scores_gemma":[0.9984854,0.00003032701,0.0011182869,0.00029312551,0.000040115854,0.000032759228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012042877,0.0001274109,0.00030906024,0.00008810357,0.00008337879,0.000012160673,0.00019899823,0.00007936799,0.000048051177],"category_scores_gemma":[0.00012079144,0.00012359236,0.00020765126,0.0000573275,0.00009622566,0.00041487606,0.000046761354,0.000047151883,0.000045532055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012657684,0.00035302737,0.6524991,0.0002274648,0.00029059837,2.8370572e-8,0.003068875,0.17938551,0.0011035665,0.15508066,0.000494331,0.0073702727],"study_design_scores_gemma":[0.0057980325,0.000276741,0.7957986,0.000093332135,0.000046345136,0.0000015508343,0.00022541602,0.1457617,0.0062864013,0.04463306,0.0008030472,0.00027576805],"about_ca_topic_score_codex":0.00072042755,"about_ca_topic_score_gemma":0.000055673558,"teacher_disagreement_score":0.14329953,"about_ca_system_score_codex":0.00065579644,"about_ca_system_score_gemma":0.00023219106,"threshold_uncertainty_score":0.503995},"labels":[],"label_agreement":null},{"id":"W1982079183","doi":"10.1073/pnas.0405176101","title":"Linking economic activities to the distribution of exotic plants","year":2004,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Wyoming; National Science Foundation","keywords":"Population; Ecology; Population size; Distribution (mathematics); Geography; Biology; Demography; Mathematics; Sociology","score_opus":0.12293933713471353,"score_gpt":0.2566234894321647,"score_spread":0.13368415229745115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982079183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942373,0.00009169449,0.000016962133,0.0022565676,0.00003732719,0.000119595104,0.0001182063,0.0000025603554,0.0031197828],"genre_scores_gemma":[0.9995298,0.000045832,0.00021164778,0.00011058353,0.00004710294,0.000006574631,6.4256596e-7,0.0000023502828,0.00004550175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993087,0.0000014078153,0.00035903003,0.00015066765,0.0000907699,0.00008942146],"domain_scores_gemma":[0.9994162,0.000040730472,0.0005096722,0.000008901601,0.00000944744,0.000015066775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010424746,0.000053991924,0.00013085706,0.000070744805,0.000118492855,0.000014016712,0.00041197854,0.0000395714,0.000018139996],"category_scores_gemma":[0.00007009166,0.000040448198,0.000055617304,0.00011108162,0.00027802683,0.0003261896,0.000081713355,0.00006116219,0.000015981626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010617559,0.00004462178,0.11733684,0.000035462177,0.000022630808,1.4809816e-9,0.00068628375,0.020388512,0.0042818845,0.85665464,0.00020404502,0.00033448098],"study_design_scores_gemma":[0.00019300416,0.000043749467,0.6891111,0.000057686775,0.000003868099,0.000003455921,0.0003347576,0.0009640904,0.04432421,0.26450092,0.00037948528,0.00008365051],"about_ca_topic_score_codex":0.00002552081,"about_ca_topic_score_gemma":3.7158836e-7,"teacher_disagreement_score":0.5921537,"about_ca_system_score_codex":0.00014206395,"about_ca_system_score_gemma":0.000011746766,"threshold_uncertainty_score":0.16494296},"labels":[],"label_agreement":null},{"id":"W1982174961","doi":"10.1016/j.ecolecon.2005.07.027","title":"Resource compensation and negotiation support in an aboriginal context: Using community-based multi-attribute analysis to evaluate non-market losses","year":2005,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Economy, Trade and Industry","keywords":"Negotiation; Valuation (finance); Damages; Metis; Resource (disambiguation); Human settlement; Context (archaeology); Market value; Compensation (psychology); Economics; Environmental economics; Actuarial science; Public economics; Environmental resource management; Business; Sociology; Computer science; Social psychology; Law; Psychology; Geography; Political science; Social science; Accounting","score_opus":0.13224036988243354,"score_gpt":0.29920383605948175,"score_spread":0.16696346617704821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982174961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910081,0.00002697644,0.0070329774,0.0007000257,0.00006941403,0.00039749517,0.00016168776,0.000022286758,0.0005810384],"genre_scores_gemma":[0.99062616,0.00003611232,0.0063015576,0.0025309133,0.00005834825,0.00003454896,0.00031564682,0.00001898501,0.000077746605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809325,0.00014564954,0.00091748143,0.000492453,0.000025418562,0.00032573764],"domain_scores_gemma":[0.99884886,0.00019774347,0.00041091233,0.00034593284,0.000019971723,0.000176608],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019503456,0.00021609686,0.0005974046,0.0004539251,0.00023034542,0.00016792322,0.00022526216,0.0001839357,0.0011253709],"category_scores_gemma":[0.000072555624,0.00027013654,0.00010477577,0.00022778304,0.00008960823,0.0007222761,0.000068074,0.00025479362,0.00021615492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033219894,0.0002864897,0.730867,0.00000520712,0.000053121865,5.6462403e-7,0.00036931748,0.26695552,0.000011380826,0.0008198873,0.000042262935,0.00055602123],"study_design_scores_gemma":[0.000907426,0.00014475308,0.61461884,0.0000020627551,0.000032814343,7.22624e-7,0.00018249315,0.38157573,0.00002123725,0.0002176179,0.0020870843,0.00020920216],"about_ca_topic_score_codex":0.00043777828,"about_ca_topic_score_gemma":0.003914096,"teacher_disagreement_score":0.11624816,"about_ca_system_score_codex":0.0009336513,"about_ca_system_score_gemma":0.000036475856,"threshold_uncertainty_score":0.9999751},"labels":[],"label_agreement":null},{"id":"W1982396960","doi":"10.1016/j.jocm.2014.05.003","title":"Categories shape preferences: A model of taste heterogeneity arising from categorization of alternatives","year":2014,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Categorization; Taste; Econometrics; Economics; Statistics; Computer science; Mathematics; Psychology; Artificial intelligence","score_opus":0.17527289356895157,"score_gpt":0.24212320779035343,"score_spread":0.06685031422140186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982396960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5385174,0.00031491715,0.46073678,0.000014930859,0.00008001561,0.000027310629,0.000021843358,0.000001386627,0.00028538407],"genre_scores_gemma":[0.98952,0.0004452824,0.009873978,0.000017196753,0.00010601967,9.934733e-7,0.000008731673,0.000012747229,0.0000150556225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863136,0.000022153707,0.0010327304,0.00014773272,0.00006403603,0.000102018435],"domain_scores_gemma":[0.99790776,0.00008478261,0.001785863,0.0001269095,0.00005146439,0.000043204385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005298566,0.00010217755,0.0004188377,0.00013914656,0.00003473027,0.000020033149,0.00017885915,0.00006317429,0.00003608657],"category_scores_gemma":[0.000043546366,0.00010776613,0.0001127751,0.00004946015,0.000047204056,0.00046795423,0.000026920945,0.00010559314,0.000004401117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013973363,0.000046236502,0.11559378,0.000021550133,0.00005872423,4.14099e-8,0.0009449099,0.87823856,0.0009419457,0.0035596523,0.0000019393165,0.0005786649],"study_design_scores_gemma":[0.00036533087,0.00006582167,0.0048879827,0.000036019694,0.000019333569,4.4382043e-7,0.00007318203,0.9197256,0.0056160637,0.06909993,0.000021988026,0.000088284425],"about_ca_topic_score_codex":0.00026177455,"about_ca_topic_score_gemma":0.000013925603,"teacher_disagreement_score":0.45100257,"about_ca_system_score_codex":0.000064482956,"about_ca_system_score_gemma":0.000017074988,"threshold_uncertainty_score":0.4394575},"labels":[],"label_agreement":null},{"id":"W1982774929","doi":"10.1111/j.1467-8489.2009.00466.x","title":"Role of credence and health information in determining US consumers’ willingness‐to‐pay for grass‐finished beef","year":2009,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Georgia; Clemson University","keywords":"Willingness to pay; Credence; Business; Production (economics); Product (mathematics); Price premium; Agricultural science; Beef cattle; Credence good; Feedlot; Agricultural economics; Marketing; Economics; Information asymmetry; Animal science; Biology","score_opus":0.04915372975729344,"score_gpt":0.2247408700501738,"score_spread":0.17558714029288036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982774929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99662334,0.00025745734,0.000049694638,0.0026610447,0.00006689815,0.0001847197,0.00003521777,0.0000021796966,0.0001194323],"genre_scores_gemma":[0.9977652,0.00040633208,0.0014218286,0.000286997,0.000045956214,0.0000023446714,0.000011803612,0.0000036753968,0.000055870132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868757,0.000009459093,0.0009807989,0.00012736395,0.000017664457,0.00017712226],"domain_scores_gemma":[0.99886423,0.000030354668,0.00090157334,0.00005640094,0.00001692755,0.0001305364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005743191,0.00011514406,0.00039520054,0.000121372825,0.000063542386,0.000054827382,0.00009583667,0.00007399555,0.00000774885],"category_scores_gemma":[0.000024962499,0.000093244045,0.00006562358,0.000051039402,0.00003461194,0.0005455775,0.000016404898,0.000113590264,0.0000036170813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006871729,0.000055627173,0.96048915,0.000052170602,0.000048754937,3.0737013e-7,0.0035857405,0.008417976,0.00020131543,0.002896895,0.00047154707,0.023711784],"study_design_scores_gemma":[0.0007247724,0.00041903075,0.9919775,0.000049730905,0.0000056288013,0.000034035238,0.0014583615,0.00017623793,0.00018455325,0.0014524887,0.0033833527,0.00013429426],"about_ca_topic_score_codex":0.00005317201,"about_ca_topic_score_gemma":0.000021532354,"teacher_disagreement_score":0.031488348,"about_ca_system_score_codex":0.000092231785,"about_ca_system_score_gemma":0.000013439851,"threshold_uncertainty_score":0.38023818},"labels":[],"label_agreement":null},{"id":"W1983722296","doi":"10.1007/s10457-008-9126-5","title":"External economic benefits and social goods from prairie shelterbelts","year":2008,"lang":"en","type":"article","venue":"Agroforestry Systems","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Government of Canada","keywords":"Windbreak; Valuation (finance); Agriculture; Natural resource economics; Business; Cost–benefit analysis; Carbon sequestration; Agricultural economics; Ecosystem services; Resource (disambiguation); Health benefits; Agroforestry; Geography; Environmental science; Economics; Ecology; Ecosystem","score_opus":0.08956988649169052,"score_gpt":0.20810347150464556,"score_spread":0.11853358501295504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983722296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99145067,0.0032197295,0.0002414548,0.00020333892,0.0008960052,0.00018159993,0.0003383401,0.00003330034,0.0034355873],"genre_scores_gemma":[0.99800587,0.00025203225,0.000119354256,0.000079842954,0.0006468062,0.000032885797,0.00007682904,0.000026702932,0.00075967424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987019,0.000016401511,0.0005686397,0.00043164843,0.000029294622,0.0002521515],"domain_scores_gemma":[0.9993763,0.000035150108,0.00031970206,0.00018855753,0.0000027600533,0.00007754456],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019511642,0.00017126523,0.00035392717,0.000062394705,0.00022700781,0.00006117444,0.00014426965,0.00014988628,0.00020351897],"category_scores_gemma":[0.0000051071906,0.00020710519,0.00007405467,0.000021388683,0.00010351507,0.00034172242,0.00006946243,0.00010110978,0.0016219526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008418177,0.000022317496,0.9646427,0.000011006128,0.000045135075,0.000004238431,0.00046675204,0.0003653062,0.000014399797,0.03249624,0.0013692413,0.00055422576],"study_design_scores_gemma":[0.00064569403,0.000038675582,0.98958683,0.000017926055,0.0000060969664,0.000033323886,0.00011637356,0.0028871796,0.000023760706,0.0014927431,0.0048840665,0.0002673388],"about_ca_topic_score_codex":0.002339999,"about_ca_topic_score_gemma":0.0000570705,"teacher_disagreement_score":0.031003496,"about_ca_system_score_codex":0.00018650369,"about_ca_system_score_gemma":0.000013212505,"threshold_uncertainty_score":0.9991554},"labels":[],"label_agreement":null},{"id":"W1983953557","doi":"10.1007/s00267-003-2625-2","title":"Economic Values and Corporate Financial Statements","year":2003,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Monetization; Valuation (finance); Operationalization; Environmental accounting; Accounting; Business; Nonmarket forces; Cash flow; Economics; Sustainable development; Sustainability; Finance; Political science","score_opus":0.05202901331113119,"score_gpt":0.20404835447259734,"score_spread":0.15201934116146615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983953557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540182,0.000723033,0.0012183524,0.00006764984,0.00035688595,0.0003557565,0.000086576336,0.000021196822,0.043152355],"genre_scores_gemma":[0.9906565,0.0012292678,0.001476183,0.00027791085,0.000025966528,0.000053084863,0.000041068248,0.000025277472,0.00621474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987668,0.000019711826,0.00044342587,0.000482498,0.000032270007,0.0002553211],"domain_scores_gemma":[0.9993916,0.000006235616,0.00027986936,0.00023598214,2.600635e-7,0.00008605962],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00037560923,0.00018063383,0.0002121284,0.00009128943,0.0001297096,0.000043907636,0.00009794265,0.000047190337,0.0024394507],"category_scores_gemma":[0.0000031298443,0.0002327445,0.000051958225,0.00002165176,0.000101259146,0.00033026122,0.00009954553,0.000061410516,0.0039195083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010455774,0.00020050214,0.6326769,0.000030021807,0.0001234774,0.000010144057,0.00025110118,0.00069341296,0.000045780293,0.36080617,0.002043108,0.0031089254],"study_design_scores_gemma":[0.0013531132,0.000091287686,0.8197338,0.000006713579,0.000018189963,0.0000041880467,0.0003033054,0.0003542438,0.00017887364,0.13958478,0.037929986,0.00044154658],"about_ca_topic_score_codex":0.000012236591,"about_ca_topic_score_gemma":0.0000018273715,"teacher_disagreement_score":0.2212214,"about_ca_system_score_codex":0.00035840337,"about_ca_system_score_gemma":0.0000021900776,"threshold_uncertainty_score":0.99847245},"labels":[],"label_agreement":null},{"id":"W1984174889","doi":"10.1017/s0266466612000382","title":"A SMOOTH NONPARAMETRIC CONDITIONAL DENSITY TEST FOR CATEGORICAL RESPONSES","year":2012,"lang":"en","type":"article","venue":"Econometric Theory","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Categorical variable; Mathematics; Multinomial probit; Covariate; Multinomial logistic regression; Parametric statistics; Nonparametric statistics; Statistics; Econometrics; Conditional probability distribution; Probit; Kernel (algebra); Discrete mathematics","score_opus":0.08806728775666385,"score_gpt":0.23868587711634043,"score_spread":0.1506185893596766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984174889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91625994,0.0050857966,0.05450477,0.00032332452,0.0010045262,0.0006416293,0.00078732846,0.00007689979,0.02131576],"genre_scores_gemma":[0.9933146,0.000104564715,0.0014657117,0.00046538745,0.0005701061,0.00015874977,0.00015426692,0.00004128203,0.0037253096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982435,0.00003993353,0.0006981999,0.00044217214,0.00003442147,0.00054173573],"domain_scores_gemma":[0.9969122,0.0021151623,0.00039766962,0.00033592855,0.000015634225,0.00022344977],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026338126,0.00021569336,0.00044460595,0.0011003388,0.0002059203,0.000055474124,0.00022529498,0.00015385158,0.003221893],"category_scores_gemma":[0.0014633315,0.00026062992,0.00022199891,0.0006813889,0.00012375618,0.00058372616,0.00007077014,0.00013659276,0.004036766],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004770403,0.0003193457,0.47532037,0.00001298031,0.000047659978,3.6404478e-7,0.00011364409,0.000032962907,0.000005343682,0.5200577,0.0017619296,0.0022800164],"study_design_scores_gemma":[0.00078954175,0.00012020281,0.76229554,0.0000013000791,0.000017090199,0.000011152275,0.000087654116,0.00038102968,0.00010755644,0.19519882,0.040635724,0.000354379],"about_ca_topic_score_codex":0.000018474517,"about_ca_topic_score_gemma":7.8601306e-7,"teacher_disagreement_score":0.32485887,"about_ca_system_score_codex":0.0005146789,"about_ca_system_score_gemma":0.000020452197,"threshold_uncertainty_score":0.99998456},"labels":[],"label_agreement":null},{"id":"W1984521835","doi":"10.1016/s0301-4797(03)00068-9","title":"Effects of knowledge, personal attribution and perception of ecosystem health on depreciative behaviors in the intertidal zone of Pacific Rim National Park and Reserve","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Parks Canada; Earthwatch Institute","keywords":"Ecosystem; Intertidal zone; Attribution; Recreation; National park; Marine ecosystem; Psychological resilience; Ecology; Ecosystem-based management; Environmental resource management; Geography; Psychology; Environmental science; Social psychology; Biology","score_opus":0.034391668014031866,"score_gpt":0.22837258659215715,"score_spread":0.19398091857812527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984521835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99753684,0.0010658342,0.00038311258,0.000066535446,0.00006187031,0.0002605629,0.000050836963,4.3563372e-7,0.0005739636],"genre_scores_gemma":[0.99847007,0.0012488598,0.0001996993,0.000016408525,0.000010542012,0.000006965099,0.0000054791894,0.000005347018,0.000036626043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989308,0.0001023749,0.0006647256,0.00012853582,0.000088426525,0.00008511759],"domain_scores_gemma":[0.9990677,0.00006693345,0.0007782483,0.000055720386,0.0000040670575,0.00002732871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013005798,0.00008369409,0.0002661356,0.00018005446,0.000030187894,0.0000051134857,0.00006241643,0.000033178723,0.000045418125],"category_scores_gemma":[0.000012004443,0.000076979464,0.00006152108,0.00004733634,0.000066768866,0.00012097243,0.000029406707,0.00008316916,0.0000037865134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012887796,0.0015025092,0.9760097,0.00041224086,0.00014383873,0.000002053463,0.0060996995,0.00026216503,0.00083683146,0.009827518,0.000103073915,0.0046714568],"study_design_scores_gemma":[0.0010899683,0.00058516936,0.9935866,0.00010323909,0.000015755806,0.00000550716,0.0034119778,0.00017121916,0.00028659176,0.00052696577,0.00015823654,0.000058789334],"about_ca_topic_score_codex":0.000011170306,"about_ca_topic_score_gemma":0.0000078264065,"teacher_disagreement_score":0.017576845,"about_ca_system_score_codex":0.00035961487,"about_ca_system_score_gemma":0.0000044643148,"threshold_uncertainty_score":0.31391314},"labels":[],"label_agreement":null},{"id":"W1985019149","doi":"10.1007/s10198-011-0369-0","title":"Using respondents’ uncertainty scores to mitigate hypothetical bias in community-based health insurance studies","year":2011,"lang":"en","type":"article","venue":"The European Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"African Population and Health Research Center; International Development Research Centre","keywords":"Contingent valuation; Actuarial science; Valuation (finance); Originality; Economics; Health care; Health insurance; Econometrics; Public economics; Willingness to pay; Psychology; Microeconomics; Economic growth; Social psychology; Finance","score_opus":0.6087585997507261,"score_gpt":0.3389477169510191,"score_spread":0.269810882799707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985019149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99218184,0.0021791633,0.001162144,0.0028893792,0.00046930613,0.00025805362,0.000052556006,0.000006997551,0.0008005882],"genre_scores_gemma":[0.9902572,0.0011968954,0.0028934963,0.0055054966,0.00007944247,0.0000020861453,0.00000305284,0.000040945088,0.000021396561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957602,0.0015118642,0.0021181982,0.00019344244,0.000031823685,0.0003844972],"domain_scores_gemma":[0.9974652,0.00020176446,0.0017367895,0.00039213343,0.00002169096,0.00018241118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016641282,0.00017814571,0.0006860815,0.0003223197,0.0003222989,0.00003274953,0.0005330495,0.000022600883,0.000028132246],"category_scores_gemma":[0.0001424308,0.00016570165,0.00012209221,0.000120045755,0.00017165407,0.00019089588,0.00011156545,0.00046269924,0.00016989298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005809614,0.0006636049,0.74054044,0.00029954076,0.00021698634,0.00001691625,0.03526325,0.18975174,0.00000883152,0.012178503,0.00067597,0.019803269],"study_design_scores_gemma":[0.002155881,0.0011512499,0.97491115,0.0003664508,0.0000048576667,0.00003982727,0.0024987292,0.0025675942,0.000023517821,0.012680812,0.0032584018,0.00034152422],"about_ca_topic_score_codex":0.0005047732,"about_ca_topic_score_gemma":0.00017953287,"teacher_disagreement_score":0.23437072,"about_ca_system_score_codex":0.0008986218,"about_ca_system_score_gemma":0.00013620664,"threshold_uncertainty_score":0.67571175},"labels":[],"label_agreement":null},{"id":"W1985028675","doi":"10.1111/1467-8276.t01-1-00454","title":"Cost‐Effective Targeting of Land Retirement to Improve Water Quality with Endogenous Sediment Deposition Coefficients","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"U.S. Department of Agriculture","keywords":"Renting; Watershed; Marginal value; Sediment; Productivity; Environmental science; Payment; Land use; Deposition (geology); Water quality; Hydrology (agriculture); Natural resource economics; Water resource management; Business; Economics; Computer science; Geology; Ecology; Finance","score_opus":0.03801526665712603,"score_gpt":0.21373851644550484,"score_spread":0.1757232497883788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985028675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959719,0.00007660656,0.002130962,0.00015596778,0.00022309918,0.0004972213,0.000044530443,0.0000038219796,0.00089588825],"genre_scores_gemma":[0.9968405,0.00006578644,0.0028173625,0.00014022959,0.000057299454,0.000023515397,0.000017166223,0.000012704638,0.000025433574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848,0.000051926072,0.0009485885,0.00023542366,0.00003956276,0.00024447168],"domain_scores_gemma":[0.9985025,0.000043158052,0.0011556152,0.000114535214,0.000051776835,0.00013244325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007595048,0.00016245064,0.00053678226,0.000083938736,0.00006986779,0.00003047512,0.00012165208,0.000031919608,0.000060398128],"category_scores_gemma":[0.000025061248,0.000114757095,0.00012299935,0.000069837304,0.00007621693,0.00021640383,0.000026459302,0.00010546762,0.00004872742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007724194,0.0011494332,0.7170865,0.00008444831,0.0013642481,0.0000073926076,0.009361598,0.19543263,0.048659544,0.007090357,0.00020779714,0.018783608],"study_design_scores_gemma":[0.004701028,0.007126069,0.7108533,0.00008154166,0.000121429555,0.00014889035,0.0077197156,0.00020450226,0.26484108,0.00058126095,0.0024405539,0.0011806615],"about_ca_topic_score_codex":0.00016473865,"about_ca_topic_score_gemma":0.0000130067565,"teacher_disagreement_score":0.21618155,"about_ca_system_score_codex":0.00054908224,"about_ca_system_score_gemma":0.000012609454,"threshold_uncertainty_score":0.46796587},"labels":[],"label_agreement":null},{"id":"W1985070728","doi":"10.1007/s11166-010-9106-9","title":"Demand for health risk reductions: A cross-national comparison between the U.S. and Canada","year":2010,"lang":"en","type":"article","venue":"Journal of Risk and Uncertainty","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Health Canada; University of Oregon; University of Alberta; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Willingness to pay; Preference; Marital status; Marginal utility; Demography; Economics; Perception; Demographic economics; Time preference; Revealed preference; Psychology; Socioeconomics; Econometrics; Sociology; Microeconomics","score_opus":0.05145814475945512,"score_gpt":0.27857793584090706,"score_spread":0.22711979108145194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985070728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946343,0.0014013618,0.0016104201,0.0014857656,0.00031640334,0.0000967774,0.00037324926,0.0000012973431,0.00008046185],"genre_scores_gemma":[0.9973174,0.0014543328,0.000756902,0.00010847569,0.00031163963,0.0000032356265,0.0000072669836,0.000005124226,0.000035673387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999218,0.000018650793,0.000515842,0.00010703114,0.000037349593,0.00010316477],"domain_scores_gemma":[0.99874,0.00021791627,0.0008763941,0.00005924385,0.000028879704,0.00007754654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015576596,0.00006452392,0.00022348756,0.000042886135,0.0003354559,0.0000512173,0.000066096996,0.00003772388,0.000022229118],"category_scores_gemma":[0.00022011141,0.000051548843,0.00004273151,0.000023120374,0.00008442453,0.00011571635,0.000014292941,0.00023666173,0.0000010402306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014331978,0.000012752831,0.98860353,0.0000045643055,0.000037083802,3.725488e-8,0.00021331228,0.0015061104,5.599502e-7,0.0021584097,0.0028103387,0.004638958],"study_design_scores_gemma":[0.000572553,0.000071321745,0.9357126,0.0000034071672,0.00001224871,0.0000080765,0.00014483464,0.0023013344,0.0000030969186,0.02292186,0.03818792,0.00006078052],"about_ca_topic_score_codex":0.06672453,"about_ca_topic_score_gemma":0.070871465,"teacher_disagreement_score":0.052890975,"about_ca_system_score_codex":0.00010744122,"about_ca_system_score_gemma":0.00009511833,"threshold_uncertainty_score":0.9460827},"labels":[],"label_agreement":null},{"id":"W1985136372","doi":"10.1016/s1755-5345(13)70025-3","title":"Modeling the choices of individual decision-makers by combining efficient choice experiment designs with extra preference information","year":2008,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":241,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Guelph","funders":"","keywords":"Discrete choice; Preference; Computer science; Aggregate (composite); Variance (accounting); Limit (mathematics); Econometrics; Choice set; Revealed preference; Mathematical optimization; Economics; Microeconomics; Mathematics; Machine learning","score_opus":0.18418177185795115,"score_gpt":0.2408156124094176,"score_spread":0.05663384055146645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985136372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5842622,0.0010264547,0.41422278,0.00003333671,0.00008302288,0.00009787566,0.000010038601,0.0000033884294,0.00026092763],"genre_scores_gemma":[0.99195164,0.0004303669,0.0074364236,0.0000837148,0.000055727924,0.000007032711,0.000006683229,0.000013816985,0.000014585405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982583,0.000021228077,0.0011811433,0.00014612902,0.00019611132,0.00019711934],"domain_scores_gemma":[0.9982747,0.00025429772,0.001149803,0.0001834257,0.000060755527,0.00007701523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009304473,0.00015388158,0.00034286134,0.00017229567,0.00020299462,0.000061833285,0.00035291663,0.00007043663,0.00004414789],"category_scores_gemma":[0.000057499794,0.00012351983,0.00009933247,0.00011666702,0.00007029621,0.0008550612,0.00004070682,0.0002385719,0.000014388549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037493286,0.00007256381,0.010199251,0.000008206003,0.00005904555,2.8110813e-7,0.002530383,0.9862509,0.000041171745,0.00030189558,0.000051911764,0.00044689194],"study_design_scores_gemma":[0.0011820206,0.00018710196,0.0024116186,0.00009643012,0.00002389112,0.00001693407,0.0005946173,0.9939686,0.00045173496,0.0003839809,0.0005092244,0.00017381407],"about_ca_topic_score_codex":0.00012256553,"about_ca_topic_score_gemma":0.0000025589372,"teacher_disagreement_score":0.40768948,"about_ca_system_score_codex":0.00015206946,"about_ca_system_score_gemma":0.000043331464,"threshold_uncertainty_score":0.50369924},"labels":[],"label_agreement":null},{"id":"W1985172935","doi":"10.1111/j.1744-7976.2005.00370.x","title":"Demand for Wildlife Hunting in British Columbia","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Revenue; Wildlife; Economics; Government revenue; Short run; Government (linguistics); Agricultural economics; Natural resource economics; Business; Monetary economics; Finance; Ecology; Biology","score_opus":0.04225339697360769,"score_gpt":0.15789372738283808,"score_spread":0.11564033040923039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985172935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929285,0.00097420294,0.000041138395,0.002538355,0.0009951277,0.00039815798,0.00043624293,0.0000062359613,0.0016820406],"genre_scores_gemma":[0.99501,0.00017169995,0.0010914408,0.0008677824,0.0009906061,0.00003228879,0.00006583901,0.000038274375,0.0017320713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968659,0.000015833171,0.0017961496,0.00047156287,0.000005618127,0.00084492564],"domain_scores_gemma":[0.9976396,0.0000843811,0.0011394948,0.00019503619,0.000048453967,0.0008930083],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009765124,0.0002127828,0.0008068685,0.00027585385,0.00023568918,0.00050280907,0.00045994244,0.00019427878,0.0009510086],"category_scores_gemma":[0.00013899864,0.00035057883,0.00032647574,0.00009814162,0.00009599782,0.0011565437,0.0000205323,0.00024991977,0.00013750503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012280968,0.000043914002,0.9450361,0.000046669615,0.00017075449,0.000017173807,0.0010423816,0.024909442,0.0000060997118,0.010852918,0.011287417,0.0065748063],"study_design_scores_gemma":[0.0017215838,0.00017715745,0.8928025,0.00006795409,0.00001964121,0.0002914227,0.0009090823,0.00084500946,0.00000607852,0.006025325,0.09654805,0.0005862465],"about_ca_topic_score_codex":0.22620855,"about_ca_topic_score_gemma":0.99198574,"teacher_disagreement_score":0.76577723,"about_ca_system_score_codex":0.003336509,"about_ca_system_score_gemma":0.00023217878,"threshold_uncertainty_score":0.9999623},"labels":[],"label_agreement":null},{"id":"W1985189455","doi":"10.1111/j.1465-7295.2007.00055.x","title":"CURBSIDE RECYCLING IN THE PRESENCE OF ALTERNATIVES","year":2007,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cannibalization; Economics; Marginal cost; Drop out; Microeconomics; Industrial organization; Demographic economics","score_opus":0.18225934101939914,"score_gpt":0.28821706857653995,"score_spread":0.10595772755714081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985189455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730767,0.0005343986,0.0015963536,0.000268111,0.0009336093,0.00015960992,0.000013803143,0.0000065459403,0.023410881],"genre_scores_gemma":[0.9986375,0.00014701762,0.0003953559,0.00024094411,0.00031656533,0.0000099064855,0.0000065938025,0.000011050262,0.00023505023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987486,0.000019544386,0.0007406577,0.0002665672,0.00001674839,0.00020786509],"domain_scores_gemma":[0.9991218,0.00021090108,0.00036014192,0.00028050438,0.0000021315352,0.00002452228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024910967,0.00009354566,0.00022201164,0.00014657492,0.000037151905,0.000016802318,0.00029948802,0.00005621189,0.0003309913],"category_scores_gemma":[0.000053949556,0.00009662967,0.000067795474,0.000046670502,0.00013302067,0.0002751769,0.000046224053,0.0001102056,0.0005970754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022790022,0.00007613768,0.83814836,0.000013885116,0.000026575606,0.0000027607723,0.007991397,0.0030935274,0.000060508133,0.14732604,0.0010969894,0.0021410552],"study_design_scores_gemma":[0.0005472829,0.000045539164,0.94750386,0.000015507429,0.0000024079075,0.000004395449,0.0019096427,0.0020579125,0.00075989723,0.03981843,0.007138433,0.00019667367],"about_ca_topic_score_codex":0.00042591782,"about_ca_topic_score_gemma":0.0001172729,"teacher_disagreement_score":0.109355554,"about_ca_system_score_codex":0.00016778479,"about_ca_system_score_gemma":0.000008052797,"threshold_uncertainty_score":0.7674395},"labels":[],"label_agreement":null},{"id":"W1985634039","doi":"10.1002/cb.349","title":"Differences in consumer preferences when facing branded versus non‐branded choices","year":2011,"lang":"en","type":"article","venue":"Journal of Consumer Behaviour","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Alberta","funders":"","keywords":"Credence; Reputation; Business; Advertising; Certification; Consistency (knowledge bases); Product (mathematics); Marketing; Credence good; Quality (philosophy); Willingness to pay; Economics; Information asymmetry; Microeconomics","score_opus":0.21680625968411205,"score_gpt":0.24852906471255842,"score_spread":0.03172280502844638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985634039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99276155,0.0018040854,0.00029626227,0.00003923643,0.00083345384,0.0001439366,0.000026456422,0.0000070576207,0.004087985],"genre_scores_gemma":[0.99806714,0.0007643575,0.00085350877,0.0000358909,0.000041664265,0.000008944872,0.000003676223,0.000015532847,0.00020929772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828666,0.000036536585,0.0011097268,0.00024072187,0.00007178632,0.00025453814],"domain_scores_gemma":[0.9986548,0.00008328643,0.000953138,0.00016976285,0.000025804971,0.00011320313],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063190755,0.000188188,0.0005821318,0.0003195161,0.000063567764,0.000055062563,0.00029558595,0.00012833804,0.0022997824],"category_scores_gemma":[0.000052534586,0.00018451814,0.00015191031,0.00007377667,0.000114655195,0.0006160181,0.000041151896,0.0002751349,0.00022121881],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015024743,0.000143676,0.9954214,0.000008192103,0.000082744176,0.000006521383,0.0014154562,0.0000021884653,0.000035895657,0.0002068312,0.00007922708,0.0024476317],"study_design_scores_gemma":[0.0035378586,0.00016810221,0.99160415,0.00004500024,0.000048565398,0.0000098206265,0.00036000996,0.00005545574,0.0004218822,0.0032585175,0.00025244785,0.0002382174],"about_ca_topic_score_codex":0.0006606478,"about_ca_topic_score_gemma":0.00025802382,"teacher_disagreement_score":0.005305601,"about_ca_system_score_codex":0.00010569809,"about_ca_system_score_gemma":0.000035823614,"threshold_uncertainty_score":0.9986122},"labels":[],"label_agreement":null},{"id":"W1986513921","doi":"10.1007/s10113-012-0393-3","title":"The valuation of wetland conservation in an urban/peri urban watershed","year":2013,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of New Brunswick","funders":"","keywords":"Wetland; Wetland conservation; Watershed; Valuation (finance); Contingent valuation; Willingness to pay; Geography; Nature Conservation; Economics; Ecology; Biology","score_opus":0.18235694933311203,"score_gpt":0.21228709530761028,"score_spread":0.02993014597449825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986513921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967534,0.00080513326,0.00005002249,0.0013847795,0.00008212016,0.00046490456,0.00003452695,0.0000068236973,0.00041831282],"genre_scores_gemma":[0.9981945,0.00045161654,0.00008146829,0.00041276606,0.00009822745,0.00020144173,0.00023081001,0.000016689884,0.0003124501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990355,0.00003224875,0.0004373727,0.00025455188,0.000060735565,0.00017962894],"domain_scores_gemma":[0.9994599,0.000036483973,0.00023930352,0.00021230488,0.0000023064592,0.00004970736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034630278,0.00011588404,0.00016771066,0.0000714936,0.00008583013,0.000025717298,0.00013558674,0.00007341629,0.0005109486],"category_scores_gemma":[0.0000059962053,0.0001093495,0.000053374602,0.00004500737,0.00013974526,0.0005735612,0.00003724011,0.00006902996,0.00045768038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011832275,0.000101675556,0.99117446,0.0000051354914,0.000010770309,1.8118709e-7,0.00089463365,0.000029108895,0.0010010658,0.0056809555,0.0005260152,0.0005641795],"study_design_scores_gemma":[0.00051400374,0.00008993956,0.98198277,0.000005850191,0.0000029523574,0.000001267305,0.00035875032,0.00734672,0.00017745676,0.005071595,0.0043128286,0.0001358893],"about_ca_topic_score_codex":0.00046990652,"about_ca_topic_score_gemma":0.000041198375,"teacher_disagreement_score":0.009191699,"about_ca_system_score_codex":0.0002355525,"about_ca_system_score_gemma":0.0000029284163,"threshold_uncertainty_score":0.5882708},"labels":[],"label_agreement":null},{"id":"W1986626599","doi":"10.2165/1312067-200801040-00013","title":"Using Conjoint Analysis to Model the Preferences of Different Patient Segments for Attributes of Patient-Centered Care","year":2008,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University; Hamilton Health Sciences","funders":"Health Canada","keywords":"Latent class model; Conjoint analysis; Population; Health care; Class (philosophy); Psychology; Sample (material); Family medicine; Nursing; Medicine; Computer science; Preference; Artificial intelligence","score_opus":0.22240392493113118,"score_gpt":0.24347207140578833,"score_spread":0.021068146474657157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986626599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98808897,0.00037166875,0.009489947,0.000025150299,0.00011998419,0.00068864337,0.0010044744,0.0000046383807,0.0002065518],"genre_scores_gemma":[0.9979408,0.000051265917,0.0017278696,0.00006025854,0.00000638443,0.00008184135,0.00011199821,0.000011355324,0.000008264263],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985964,0.000017658356,0.00084377005,0.0002880348,0.00007067322,0.00018350381],"domain_scores_gemma":[0.99893034,0.00003799972,0.0006445275,0.00028349544,0.000046302754,0.00005733568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063996034,0.00014269708,0.0004332768,0.00016089035,0.00010257014,0.000007056913,0.00012584176,0.000042895106,0.000059222933],"category_scores_gemma":[0.000026831753,0.00012048701,0.00023227153,0.00013205923,0.000055411212,0.00006786897,0.00010023035,0.000036697522,0.0000069539583],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007265011,0.00040969093,0.74611616,0.00005125024,0.00052422244,1.2867932e-7,0.019899968,0.22884,0.00029297086,0.0009637478,0.00007771973,0.0027514917],"study_design_scores_gemma":[0.0025751144,0.0034463739,0.42427436,0.00011407843,0.0005799333,0.0000015171421,0.010243442,0.4931934,0.05958044,0.004432624,0.00047277226,0.0010859556],"about_ca_topic_score_codex":0.00016870914,"about_ca_topic_score_gemma":0.000025902345,"teacher_disagreement_score":0.3218418,"about_ca_system_score_codex":0.00021285717,"about_ca_system_score_gemma":0.000011176401,"threshold_uncertainty_score":0.49133176},"labels":[],"label_agreement":null},{"id":"W1988105365","doi":"10.1007/s10640-005-3605-1","title":"The Effect of Risk Characteristics on the Willingness to Pay for Mortality Risk Reductions from Electric Power Generation","year":2006,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Advanced Industrial Science and Technology; University of Central Florida; Nihon University","keywords":"Willingness to pay; Nuclear power; Fossil fuel; Baseline (sea); Electricity generation; Nuclear power plant; Natural disaster; Electric power; Economics; Natural resource economics; Risk aversion (psychology); Power (physics); Microeconomics; Engineering; Geography; Expected utility hypothesis; Waste management; Financial economics; Ecology; Biology; Meteorology","score_opus":0.01793234493739382,"score_gpt":0.1734661417350863,"score_spread":0.15553379679769247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988105365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965078,0.00037474465,0.00049982354,0.00026975712,0.00024905344,0.0005052417,0.0013272547,0.00000670507,0.0002596261],"genre_scores_gemma":[0.9980845,0.0009941626,0.000071019254,0.00006691955,0.00030480337,0.00009051376,0.00015784822,0.000024536614,0.00020569087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884325,0.000056746347,0.00053000933,0.00036046084,0.000024284473,0.00018521798],"domain_scores_gemma":[0.9987348,0.0003924372,0.00050663954,0.00031911719,0.0000011717755,0.00004586568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000785639,0.0001667807,0.00025232133,0.000034354227,0.0005320176,0.000044853972,0.0001359985,0.00008394658,0.000075855576],"category_scores_gemma":[0.000046796933,0.00011342072,0.00011402479,0.000025379986,0.00009783769,0.000062176834,0.000045341076,0.00014330445,0.00009666309],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008384466,0.00006766756,0.9838059,0.0000024017072,0.00010646431,7.2393355e-8,0.00019894072,0.0058404347,0.00047387806,0.0042829686,0.0006910911,0.0044463538],"study_design_scores_gemma":[0.00041004427,0.0002381529,0.96371925,0.0000023600899,0.0000397249,5.092732e-7,0.00006839412,0.0063828384,0.0024488533,0.0040308675,0.022474976,0.00018401818],"about_ca_topic_score_codex":0.000238513,"about_ca_topic_score_gemma":0.00002519114,"teacher_disagreement_score":0.021783886,"about_ca_system_score_codex":0.00015331927,"about_ca_system_score_gemma":0.000002493124,"threshold_uncertainty_score":0.46251628},"labels":[],"label_agreement":null},{"id":"W1989367910","doi":"10.1002/jwmg.351","title":"Composite analysis of black duck breeding population surveys in eastern North America","year":2012,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Anas; Transect; Geography; Population; Waterfowl; Breeding bird survey; Survey methodology; Aerial survey; Survey data collection; Breeding pair; Physical geography; Statistics; Ecology; Cartography; Habitat; Demography; Biology; Mathematics","score_opus":0.07178599822200418,"score_gpt":0.23358349685538254,"score_spread":0.16179749863337836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989367910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98709005,0.00016155126,0.010189182,0.0001775936,0.00017842402,0.0000785356,0.000012255453,0.0000019215036,0.0021105066],"genre_scores_gemma":[0.9985829,0.0002478649,0.00071841234,0.00017380156,0.000066943474,0.0000011143235,0.000026385573,0.00000805359,0.00017453141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986925,0.00005008986,0.00093760114,0.00010444635,0.00006135554,0.0001539924],"domain_scores_gemma":[0.9987252,0.000020719624,0.0010651348,0.00012276522,0.000008734138,0.000057465826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014903382,0.000084822335,0.00041742288,0.00074600487,0.000019082749,0.000015886611,0.00012226136,0.000024875537,0.00015215791],"category_scores_gemma":[0.000008905039,0.000095666976,0.000158693,0.00039334752,0.000022683258,0.00037433067,0.000051791285,0.00006937178,0.00007131758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060067987,0.00012505369,0.9485557,0.000015480786,0.00046178585,8.1434507e-7,0.00040546845,0.047686473,0.0000012833899,0.00042167326,0.00011863914,0.0022015872],"study_design_scores_gemma":[0.0003459885,0.000038183865,0.98809475,0.000011797768,0.0001281212,3.8260484e-7,0.00022106568,0.010210626,8.053127e-7,0.000105282284,0.00075581,0.000087200075],"about_ca_topic_score_codex":0.00024643505,"about_ca_topic_score_gemma":0.0000412436,"teacher_disagreement_score":0.039539002,"about_ca_system_score_codex":0.00019867404,"about_ca_system_score_gemma":0.0000012307472,"threshold_uncertainty_score":0.39011863},"labels":[],"label_agreement":null},{"id":"W1989760759","doi":"10.1111/j.1744-7976.2006.00061.x","title":"Willingness to Pay for Reduced Risk of Foodborne Illness: A Nonhypothetical Field Experiment","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Welfare economics; Food products; Agricultural science; Economics; Food science; Biology","score_opus":0.040577444634662084,"score_gpt":0.17000851843489037,"score_spread":0.12943107380022828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989760759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917453,0.00043528609,0.0005605729,0.0027844228,0.0015442659,0.0005159103,0.00077687704,0.0000056627787,0.0016317351],"genre_scores_gemma":[0.99646646,0.00006485259,0.0016323862,0.00025158527,0.0007855363,0.00005279522,0.00004522022,0.00003760933,0.0006635795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9969932,0.000020504638,0.0018171988,0.0004716873,0.000008740275,0.0006886797],"domain_scores_gemma":[0.99717236,0.00016548244,0.0014111408,0.00029887544,0.00008658,0.00086557725],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006580649,0.00031592563,0.0009138992,0.00033082243,0.00020054639,0.00009130231,0.0004869382,0.00018772499,0.00036125953],"category_scores_gemma":[0.00015766834,0.00029602306,0.0004515685,0.00010484513,0.00008445747,0.00038869173,0.000025103782,0.0002050113,0.00008907455],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052758446,0.00036499478,0.31110567,0.00025352056,0.0014720681,0.000027426388,0.0070952456,0.11820812,0.0012250387,0.5196685,0.03189061,0.00816121],"study_design_scores_gemma":[0.004465772,0.002896277,0.7910265,0.0001779868,0.0002021152,0.00025475788,0.002612309,0.00094018807,0.009750407,0.069564916,0.11587689,0.0022319374],"about_ca_topic_score_codex":0.03152576,"about_ca_topic_score_gemma":0.17079411,"teacher_disagreement_score":0.47992077,"about_ca_system_score_codex":0.0015993905,"about_ca_system_score_gemma":0.00019866605,"threshold_uncertainty_score":0.9999492},"labels":[],"label_agreement":null},{"id":"W1990281230","doi":"10.1016/j.jeconom.2010.02.001","title":"Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models","year":2010,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université Laval","funders":"","keywords":"Mathematics; Confidence region; Context (archaeology); Confidence distribution; Confidence interval; Applied mathematics; Robust confidence intervals; Projection (relational algebra); Test statistic; Statistical hypothesis testing; Algorithm; Statistics","score_opus":0.2946953961469419,"score_gpt":0.32475776541592655,"score_spread":0.030062369268984646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990281230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27805144,0.00006431716,0.7200971,0.00046934627,0.00034213296,0.00042223517,0.000058899244,0.000006282241,0.00048825727],"genre_scores_gemma":[0.9071887,0.00007552248,0.091945544,0.0003271805,0.00015841618,0.00009340084,0.000017247603,0.00002587192,0.0001681009],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982434,0.00002154766,0.001114541,0.00036431334,0.000048739494,0.0002074523],"domain_scores_gemma":[0.9970638,0.0008356763,0.0014559985,0.00038075066,0.00009795035,0.0001657807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021149395,0.000168285,0.00041744867,0.000798036,0.00009970872,0.00015872053,0.000359313,0.0000976138,0.00010047516],"category_scores_gemma":[0.00094811636,0.00016917585,0.00010931765,0.00041390496,0.00004760855,0.00091032684,0.000029449106,0.0002542747,0.00011851788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037612565,0.00050270965,0.1521774,0.00009714606,0.00030954098,7.7440666e-7,0.00090307766,0.39380875,0.0027762502,0.40289485,0.0010084335,0.04514496],"study_design_scores_gemma":[0.0032145628,0.0029019737,0.21794012,0.00004954599,0.000102158454,0.00002853552,0.00022525655,0.5566282,0.004312337,0.19375607,0.019647863,0.0011933722],"about_ca_topic_score_codex":0.000025665351,"about_ca_topic_score_gemma":0.000026220492,"teacher_disagreement_score":0.6291373,"about_ca_system_score_codex":0.0001817232,"about_ca_system_score_gemma":0.000031217714,"threshold_uncertainty_score":0.6898791},"labels":[],"label_agreement":null},{"id":"W1990459429","doi":"10.1139/cjfr-2012-0262","title":"Assessing the changing effects of forest harvesting on nature-based tourism: a case of sport-fishing tourism in Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta; Ministry of Natural Resources and Forestry","funders":"Ministry of Environment; Ministry of Natural Resources","keywords":"Tourism; Fishing; Forest management; Business; Logging; Ecotourism; Natural resource economics; Environmental resource management; Geography; Forestry; Economics; Ecology","score_opus":0.0691080137364288,"score_gpt":0.26299734056393703,"score_spread":0.19388932682750823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990459429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99666053,0.00043942503,0.000039398536,0.0006437163,0.00025440851,0.00027866795,0.0000065153563,7.250051e-7,0.0016765866],"genre_scores_gemma":[0.99942154,0.0000046086448,0.00017922829,0.00010327908,0.000077772995,0.000010257422,0.000004042908,0.000017791326,0.00018148871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984593,0.00004048228,0.0007206174,0.00016495064,0.00011583233,0.00049883075],"domain_scores_gemma":[0.99854636,0.000349313,0.00053447206,0.00022259331,0.000078003286,0.00026925837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023652571,0.0001112194,0.00033992925,0.00085279,0.0001933636,0.000119881624,0.00030849347,0.000111444526,0.00018007538],"category_scores_gemma":[0.00039274959,0.000104194485,0.00008029034,0.00028303533,0.00011649939,0.00041721156,0.000024624595,0.00096736726,0.000004642677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004054674,0.000016499596,0.9900317,0.000048000085,0.000018946446,0.0007696689,0.00042021656,0.006089966,0.0000061369788,0.0015944327,0.0004901974,0.0005101845],"study_design_scores_gemma":[0.00046961883,0.00011358953,0.99400914,0.00027713942,0.000003892729,0.00006944475,0.00068779796,0.0019318903,0.00019893769,0.0017797013,0.0003606174,0.00009823249],"about_ca_topic_score_codex":0.9920969,"about_ca_topic_score_gemma":0.9985062,"teacher_disagreement_score":0.0064092944,"about_ca_system_score_codex":0.0017599597,"about_ca_system_score_gemma":0.0016477604,"threshold_uncertainty_score":0.46022335},"labels":[],"label_agreement":null},{"id":"W1991015289","doi":"10.1111/j.1744-7976.2010.01212.x","title":"Agricultural Land‐Use Change in Prairie Canada: Implications for Wetland and Waterfowl Habitat Conservation","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Waterfowl; Habitat; Habitat conservation; Wetland; Geography; Wetland conservation; Agriculture; Conservation Reserve Program; Subsidy; Land use; Agricultural land; Ecology; Agroforestry; Fishery; Environmental protection; Environmental science; Biology; Economics","score_opus":0.14290747729768744,"score_gpt":0.17458100104179763,"score_spread":0.0316735237441102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991015289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98838145,0.00048578484,0.00001245913,0.00841364,0.0007673421,0.0005631571,0.00092809956,0.0000047149274,0.0004433474],"genre_scores_gemma":[0.99794686,0.00012624709,0.0004460672,0.0007055852,0.0002851077,0.000084071005,0.00017441377,0.000023995242,0.00020764301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773926,0.000017694954,0.0012015018,0.00041341482,0.000005250666,0.0006228909],"domain_scores_gemma":[0.99801266,0.00009579576,0.00086095644,0.00018344953,0.000073265,0.000773847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003989338,0.00028208713,0.0006242948,0.00027770217,0.00018409266,0.00011554788,0.0002838146,0.00014990903,0.000108320026],"category_scores_gemma":[0.00009154439,0.0002739722,0.000131694,0.00008798261,0.00009456416,0.0012789523,0.000021765809,0.00018042188,0.000014154011],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018314782,0.000013317859,0.9653177,0.000022795915,0.000074632735,0.0000036515569,0.0011270685,0.00014111742,0.000008797379,0.03140718,0.0016335782,0.00023180986],"study_design_scores_gemma":[0.00091595657,0.0001561255,0.9866472,0.000029253979,0.000021796031,0.00013573337,0.0004865938,0.00008399555,0.000020067642,0.004444831,0.0066616447,0.00039680334],"about_ca_topic_score_codex":0.8137791,"about_ca_topic_score_gemma":0.9985416,"teacher_disagreement_score":0.18476248,"about_ca_system_score_codex":0.0023892156,"about_ca_system_score_gemma":0.000312643,"threshold_uncertainty_score":0.9999713},"labels":[],"label_agreement":null},{"id":"W1991231471","doi":"10.1111/j.1744-7976.2005.00356.x","title":"Relating Consumer Willingness‐to‐Pay for Food Safety to Risk Tolerance: An Experimental Approach","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Food safety; Willingness to pay; Bidding; Risk perception; Business; Common value auction; Food safety risk analysis; Marketing; Actuarial science; Perception; Risk analysis (engineering); Psychology; Economics; Medicine; Microeconomics","score_opus":0.06200229297586083,"score_gpt":0.18363553547816608,"score_spread":0.12163324250230526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991231471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913461,0.00063097617,0.00057992793,0.0015871312,0.0013324709,0.0008629463,0.0016571034,0.000013053149,0.0019902964],"genre_scores_gemma":[0.98750716,0.000050769322,0.009065952,0.0010481826,0.0014306086,0.00008297065,0.00011854158,0.00006430276,0.00063152827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9963134,0.000031637195,0.0019020593,0.0007573891,0.000010863967,0.0009846806],"domain_scores_gemma":[0.9958614,0.00008514888,0.0011989208,0.00037847873,0.00007597154,0.002400058],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010416355,0.0004339996,0.0009545565,0.00040152657,0.0004968987,0.00022668597,0.00065231277,0.00021052366,0.00040556493],"category_scores_gemma":[0.00013267115,0.00043677483,0.0003677817,0.00013395381,0.000069061956,0.001234095,0.00003521072,0.00033613454,0.00030967945],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023683779,0.00017184463,0.19756031,0.000050307102,0.00047121092,0.0000043670657,0.013035414,0.6853047,0.00016422028,0.09188055,0.005680833,0.005439428],"study_design_scores_gemma":[0.0049436567,0.0033900018,0.6597065,0.00010611461,0.00012076422,0.00037050806,0.008239048,0.007461352,0.0008249534,0.0049084094,0.30703524,0.0028935086],"about_ca_topic_score_codex":0.0063391402,"about_ca_topic_score_gemma":0.2276582,"teacher_disagreement_score":0.67784333,"about_ca_system_score_codex":0.004077556,"about_ca_system_score_gemma":0.00022106673,"threshold_uncertainty_score":0.99980843},"labels":[],"label_agreement":null},{"id":"W1991397214","doi":"10.2495/sdp-v7-n2-173-185","title":"Emerging value of brownfields regeneration","year":2012,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Redevelopment; Metropolitan area; Business; Urban regeneration; Valuation (finance); Reuse; Environmental planning; Sustainability; Order (exchange); Regeneration (biology); Sustainable development; Value (mathematics); Engineering; Finance; Geography; Civil engineering; Political science","score_opus":0.04723691081245492,"score_gpt":0.2357424876707475,"score_spread":0.18850557685829258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991397214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837517,0.0021865484,0.010064088,0.00018777789,0.00044955863,0.00003085903,0.0000012138539,0.0000018926485,0.0033263504],"genre_scores_gemma":[0.9950965,0.000087333894,0.0039428533,0.00006314762,0.00019302046,0.0000012108297,0.000006836705,0.0000047649505,0.00060434616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992915,0.000006375118,0.00048100637,0.000054659005,0.00005048655,0.00011598287],"domain_scores_gemma":[0.999414,0.00002252487,0.00044318204,0.000027836822,0.000052918498,0.000039491297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007216934,0.000053569962,0.00012485759,0.00021506293,0.00004218572,0.000022662209,0.0000839937,0.000035277113,0.00008890786],"category_scores_gemma":[0.00005533607,0.00005861724,0.000027774087,0.000034108212,0.000012752608,0.00051840866,0.000034843208,0.00006155033,0.000005897082],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028784165,0.0000476145,0.85125077,0.00002117089,0.00014125346,0.000015681035,0.01041038,0.0019319461,0.000085374595,0.13229518,0.00042833516,0.0033434904],"study_design_scores_gemma":[0.0010126382,0.00005636059,0.9045132,0.00008490748,0.000011588759,0.00006595663,0.018151728,0.00089398306,0.0063822176,0.00792236,0.06064782,0.0002572326],"about_ca_topic_score_codex":0.000013718735,"about_ca_topic_score_gemma":1.2718509e-7,"teacher_disagreement_score":0.12437282,"about_ca_system_score_codex":0.00010782052,"about_ca_system_score_gemma":0.000019632518,"threshold_uncertainty_score":0.23903416},"labels":[],"label_agreement":null},{"id":"W1992331963","doi":"10.1071/wr11106","title":"Choosing cost-effective locations for conservation fences in the local landscape","year":2012,"lang":"en","type":"article","venue":"Wildlife Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Department of Environment and Conservation","funders":"Australian Research Council; Australian Government","keywords":"Exclosure; Fence (mathematics); Wildlife conservation; Environmental resource management; Wildlife management; Process (computing); Context (archaeology); Geography; Computer science; Ecology; Environmental science; Wildlife; Engineering; Biology","score_opus":0.32879011042366046,"score_gpt":0.3606483256875823,"score_spread":0.03185821526392185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992331963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540311,0.0016902608,0.02290502,0.008043675,0.00020840122,0.0027475276,0.000051550698,0.000012106322,0.010310356],"genre_scores_gemma":[0.9974518,0.000112981266,0.0001876496,0.000622276,0.00016553974,0.001256264,0.00004486823,0.000009275957,0.000149346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990934,0.00008641972,0.00025189578,0.00017483236,0.000055710934,0.00033774803],"domain_scores_gemma":[0.99912727,0.00058007345,0.000067285524,0.00016329903,0.000017042415,0.000045004363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004275746,0.000061681676,0.00011846142,0.00016257988,0.00021111534,0.000053644446,0.00015781003,0.000059310976,0.00010006693],"category_scores_gemma":[0.00020283589,0.00005694496,0.000036712365,0.00020793709,0.00012134528,0.00033718706,0.000028677578,0.00016108145,0.00044803167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010239248,0.000085521344,0.9313983,0.000011757166,0.000007699178,7.287175e-8,0.0010626067,0.00024244998,0.0000021671212,0.05805658,0.0048179594,0.004304669],"study_design_scores_gemma":[0.0004201552,0.000050132334,0.9248492,0.000010594152,0.0000016996742,0.0000014936762,0.001971134,0.011674497,0.000012115495,0.0070214607,0.05389975,0.0000877632],"about_ca_topic_score_codex":0.00031694,"about_ca_topic_score_gemma":0.000077766774,"teacher_disagreement_score":0.05103512,"about_ca_system_score_codex":0.00019566396,"about_ca_system_score_gemma":0.00001628288,"threshold_uncertainty_score":0.575869},"labels":[],"label_agreement":null},{"id":"W1992749255","doi":"10.1007/s10198-006-0349-y","title":"Test-retest reliability of willingness to pay","year":2006,"lang":"en","type":"article","venue":"The European Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Generalizability theory; Intraclass correlation; Reliability (semiconductor); Psychology; Test (biology); Willingness to pay; Population; Sample (material); Statistics; Social psychology; Clinical psychology; Medicine; Psychometrics; Mathematics; Developmental psychology; Environmental health","score_opus":0.06822799835792372,"score_gpt":0.22009112655484317,"score_spread":0.15186312819691944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992749255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98009306,0.0006816492,0.0036895517,0.0055632466,0.000542023,0.00018763368,0.000065467204,0.0000063699354,0.009170994],"genre_scores_gemma":[0.99664205,0.00039226358,0.0017833265,0.0006113507,0.00030823308,0.0000010948813,0.000003788475,0.000031582957,0.00022633544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973348,0.00014035094,0.0020836254,0.00018935328,0.000023392899,0.00022852473],"domain_scores_gemma":[0.99731475,0.00016959464,0.0020468112,0.00034844506,0.000026506776,0.000093870614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069534644,0.00012585934,0.00048004073,0.00009352967,0.00011013984,0.000026681957,0.00039648457,0.000020902293,0.000083553954],"category_scores_gemma":[0.00013877937,0.00010083159,0.00014175201,0.00007256193,0.00008463375,0.00018327229,0.00006489605,0.0001765919,0.00033357745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039000704,0.0002794115,0.92045534,0.00006871062,0.000031486634,0.0000020317875,0.00073823717,0.050456658,0.000026523443,0.012777302,0.003967346,0.011157928],"study_design_scores_gemma":[0.0005793238,0.0003909828,0.94857246,0.000026956624,0.0000057429015,0.000016802229,0.00008648897,0.00050137605,0.00006207745,0.01333908,0.036267012,0.00015171395],"about_ca_topic_score_codex":0.000132961,"about_ca_topic_score_gemma":0.0000113310225,"teacher_disagreement_score":0.049955282,"about_ca_system_score_codex":0.00026341135,"about_ca_system_score_gemma":0.000049454135,"threshold_uncertainty_score":0.42875746},"labels":[],"label_agreement":null},{"id":"W1993237492","doi":"10.3197/096327100129341976","title":"Does the Convention on Biodiversity Safeguard Biological Diversity?","year":2000,"lang":"en","type":"article","venue":"Environmental Values","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Convention on Biological Diversity; Scope (computer science); Convention; Biodiversity; Diversity (politics); Safeguard; Meaning (existential); Environmental resource management; Environmental planning; Natural resource economics; Business; Political science; Ecology; Geography; Economics; Biology; Law; International trade; Computer science; Psychology","score_opus":0.07527015662007722,"score_gpt":0.18254296805325365,"score_spread":0.10727281143317643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993237492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847454,0.00015356348,0.000025334466,0.00083872565,0.00023850951,0.00018548527,0.00021256434,0.000028330063,0.013572116],"genre_scores_gemma":[0.9929468,0.000911995,0.000040188606,0.0008315558,0.0000664243,0.0000070515016,0.00008067097,0.000006032217,0.005109284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999118,0.00003614314,0.00023582121,0.0003700001,0.00004892037,0.00019115034],"domain_scores_gemma":[0.9995674,0.000034175406,0.000103495775,0.00024303763,4.0442796e-7,0.000051511986],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029208144,0.00013957873,0.00016685779,0.000035644254,0.0005407025,0.00002614786,0.0002310172,0.00008053003,0.02235055],"category_scores_gemma":[0.0000048220722,0.00009296803,0.00013810777,0.000029286846,0.00026037038,0.00017087685,0.00015528606,0.000109590444,0.018773528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003617167,0.00017574146,0.9916682,0.0000015505778,0.000042731088,0.00000177858,0.00044070382,0.00018059734,0.00003254351,0.0027351473,0.0013035042,0.0033812814],"study_design_scores_gemma":[0.0004331882,0.00012782782,0.9595782,0.0000027240783,0.000007887282,0.0000012700174,0.00028333772,0.00011391464,0.00021244376,0.008971877,0.030078657,0.00018865017],"about_ca_topic_score_codex":0.00007511044,"about_ca_topic_score_gemma":0.000001539227,"teacher_disagreement_score":0.032090027,"about_ca_system_score_codex":0.00020682877,"about_ca_system_score_gemma":8.7551024e-7,"threshold_uncertainty_score":0.98199046},"labels":[],"label_agreement":null},{"id":"W1993722829","doi":"10.1080/23249935.2013.809818","title":"Regret minimisation and utility maximisation in a freight transport context","year":2013,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Regret; Minimisation (clinical trials); Econometrics; Logit; Mixed logit; Computer science; Operations research; Economics; Logistic regression; Mathematics; Statistics; Machine learning","score_opus":0.08579528421586112,"score_gpt":0.20392632471694314,"score_spread":0.11813104050108202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993722829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840332,0.00053519936,0.004965778,0.00065759785,0.00014925461,0.0007727233,0.00008915218,0.00005231998,0.008744747],"genre_scores_gemma":[0.99765646,0.00032855218,0.0012875521,0.0002734883,0.000019520912,0.00010793345,0.00007283864,0.000021996144,0.00023166157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997161,0.0000117324835,0.0011516477,0.0009846815,0.00016634328,0.0005246267],"domain_scores_gemma":[0.9990274,0.000043226533,0.00027285118,0.0003826703,0.000032128373,0.00024175733],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013613318,0.00026342788,0.00049527304,0.0009015242,0.0001755332,0.000037311966,0.0003346826,0.00014241971,0.0019790647],"category_scores_gemma":[0.000027662085,0.00030060354,0.000106674845,0.0014614206,0.00061528623,0.0016172904,0.000006659717,0.00020354788,0.00023432434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000151250615,0.00012850494,0.9848146,0.000027855742,0.0000074481486,0.000004116858,0.0015484539,0.000041290685,0.0001482287,0.008274474,0.00001262093,0.004977318],"study_design_scores_gemma":[0.0009615883,0.00006238514,0.98849523,0.000016418106,0.000010195224,0.0000039690112,0.00023455222,0.0019170033,0.00027362976,0.0066335215,0.0010544953,0.00033702137],"about_ca_topic_score_codex":0.0026372485,"about_ca_topic_score_gemma":0.00034789043,"teacher_disagreement_score":0.013623229,"about_ca_system_score_codex":0.00020994685,"about_ca_system_score_gemma":0.000058579495,"threshold_uncertainty_score":0.9999446},"labels":[],"label_agreement":null},{"id":"W1993785062","doi":"10.4296/cwrj2803437","title":"Water Conservation and Development Projects in Saskatchewan: An Economic Evaluation","year":2003,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Drainage; Flood control; Agriculture; Business; Irrigation; Liberian dollar; Economic impact analysis; Waterlogging (archaeology); Cost–benefit analysis; Environmental planning; Control (management); Irrigation district; Natural resource economics; Environmental resource management; Flood myth; Water resource management; Economics; Geography; Environmental science; Finance; Wetland; Political science","score_opus":0.07359581754392026,"score_gpt":0.20454033929125529,"score_spread":0.130944521747335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993785062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963173,0.0008060891,0.000028182883,0.00034773065,0.00019157033,0.00036903578,0.000021642601,0.000013176224,0.0019052381],"genre_scores_gemma":[0.99834436,0.000132185,0.0004932369,0.00030105765,0.00010472272,0.00005363184,0.000082958504,0.000047274396,0.00044055821],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.997548,0.00017354726,0.00086975255,0.0005242019,0.00003801864,0.00084648625],"domain_scores_gemma":[0.9988123,0.00001862534,0.00020170759,0.00024347105,0.000035714587,0.0006881351],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027706018,0.00026554338,0.00039002617,0.00076370226,0.00047324572,0.00030365962,0.00021421016,0.00016799176,0.0007039048],"category_scores_gemma":[0.000048772006,0.0002487931,0.00005053741,0.000056005567,0.00017064638,0.0007197589,0.000020589418,0.00025452822,0.00012859218],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017385566,0.000025991361,0.3992214,0.00005032973,0.00006380339,0.000047310536,0.5926387,0.0029734364,0.00019871644,0.00008617344,0.000009672297,0.004667109],"study_design_scores_gemma":[0.0018125,0.00025235856,0.12143296,0.00014217867,0.000026285454,0.00066162855,0.010132365,0.005838369,0.0056841415,0.0138898175,0.8389397,0.0011876704],"about_ca_topic_score_codex":0.12476043,"about_ca_topic_score_gemma":0.8155888,"teacher_disagreement_score":0.8389301,"about_ca_system_score_codex":0.0028684884,"about_ca_system_score_gemma":0.000026104022,"threshold_uncertainty_score":0.9999964},"labels":[],"label_agreement":null},{"id":"W1993842882","doi":"10.1016/j.forpol.2006.05.008","title":"Forest environmental incomes and the rural poor","year":2006,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":542,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; World Bank Group","keywords":"Poverty; Diversification (marketing strategy); Economics; Household income; Income distribution; Population; Distribution (mathematics); Socioeconomics; Net national income; Natural resource economics; Geography; Economic growth; Business; Gross income; Public economics; Inequality","score_opus":0.020197394489281904,"score_gpt":0.17760784020171128,"score_spread":0.15741044571242938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993842882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98573405,0.0011017598,0.00013800363,0.0025642766,0.00010608758,0.00021546548,0.00014515266,0.000014332253,0.009980875],"genre_scores_gemma":[0.99587864,0.0013868331,0.00011648184,0.000936107,0.00037015745,0.00003266962,0.000065621585,0.00002360369,0.0011898656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989862,0.000011329368,0.0004633055,0.0002621052,0.000011410674,0.00026565738],"domain_scores_gemma":[0.9994457,0.000076564516,0.00021980186,0.00019077788,8.402719e-7,0.000066326495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032310592,0.00017053573,0.00029980938,0.00010256663,0.00022507456,0.00009988494,0.000119835495,0.00008730554,0.000064077445],"category_scores_gemma":[0.00001526729,0.0001598913,0.00007674634,0.00002659782,0.0004510587,0.00030493928,0.00013132113,0.00008795303,0.000254192],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017459293,0.00001480277,0.49284557,0.0000036159352,0.000015177767,1.3802261e-7,0.00008246845,0.0008525368,8.6065256e-7,0.5056344,0.00012919171,0.00040377112],"study_design_scores_gemma":[0.0014314333,0.000028349195,0.67466575,0.000002154876,0.0000074768814,0.000016196454,0.00010848414,0.01848508,0.0000050686112,0.28760946,0.017443135,0.00019741138],"about_ca_topic_score_codex":0.003547969,"about_ca_topic_score_gemma":0.0008813706,"teacher_disagreement_score":0.21802495,"about_ca_system_score_codex":0.00013847175,"about_ca_system_score_gemma":0.000007678523,"threshold_uncertainty_score":0.6520178},"labels":[],"label_agreement":null},{"id":"W1993980658","doi":"10.1177/0962280213505804","title":"Studying noncollapsibility of the odds ratio with marginal structural and logistic regression models","year":2013,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Health Canada; Canada Research Chairs; Thrasher Research Fund; McGill University; McGill University Health Centre; World Health Organization","keywords":"Covariate; Confounding; Observational study; Statistics; Logistic regression; Econometrics; Marginal structural model; Odds ratio; Odds; Point estimation; Regression; Mathematics","score_opus":0.4115418379409699,"score_gpt":0.47321997805756816,"score_spread":0.06167814011659828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993980658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53342414,0.0002877203,0.46095508,0.00091073866,0.000086506494,0.00052335014,0.00003203173,0.0000037870054,0.0037766595],"genre_scores_gemma":[0.88803244,0.00006405637,0.11165192,0.000042582713,0.000021036427,0.00005660914,0.0000029086837,0.00000858132,0.000119889395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978445,0.00066973374,0.00056118914,0.00037231052,0.0002487949,0.0003034514],"domain_scores_gemma":[0.99702823,0.0024006194,0.00010543,0.00027033448,0.000035716977,0.00015964196],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0067916666,0.0000943556,0.00032449092,0.000095597294,0.0001153444,0.000032223277,0.00024309153,0.00010621161,0.0024668674],"category_scores_gemma":[0.004503939,0.00006133804,0.000020350095,0.00021069864,0.0010423992,0.00013232016,0.0002408177,0.00053439947,0.000019376772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006929175,0.00009235358,0.2848961,0.000119140976,0.000021126818,0.000004659099,0.00050323637,0.0002200541,0.00005566084,0.606106,0.00014969007,0.10776267],"study_design_scores_gemma":[0.0003837302,0.00009476858,0.49171284,0.00003806402,0.0000015596061,0.0000022362863,0.00019792689,0.17873408,0.000024980556,0.32873297,0.000018276363,0.00005856031],"about_ca_topic_score_codex":0.00074955134,"about_ca_topic_score_gemma":0.000051944826,"teacher_disagreement_score":0.3546083,"about_ca_system_score_codex":0.00016475609,"about_ca_system_score_gemma":0.000066213564,"threshold_uncertainty_score":0.99844503},"labels":[],"label_agreement":null},{"id":"W1994052377","doi":"10.1509/jmkr.45.2.171","title":"The Role of Purchase Quantity in Assortment Choice: The Quantity-Matching Heuristic","year":2008,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Matching (statistics); Heuristic; Process (computing); Decision process; Marketing; Business; Microeconomics; Heuristics; Computer science; Economics; Mathematics; Statistics; Process management; Artificial intelligence","score_opus":0.19122400255052854,"score_gpt":0.321131997721697,"score_spread":0.12990799517116844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994052377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99183697,0.0043467325,0.00006463782,0.0007835777,0.00012195331,0.0001290447,0.0000058209635,0.0000014198407,0.0027098514],"genre_scores_gemma":[0.995931,0.00365171,0.00008855022,0.000014467536,0.00009613307,0.000004632865,6.553268e-7,0.000009950067,0.00020288186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998078,0.0004432907,0.0008721298,0.00012885554,0.00018040759,0.00029730753],"domain_scores_gemma":[0.99654746,0.0025512925,0.0005887562,0.00021662825,0.000049153667,0.00004672811],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.029749773,0.00006846378,0.00023141605,0.00019101134,0.0003768093,0.00004447413,0.0004050191,0.000044857363,0.00010176256],"category_scores_gemma":[0.0033995938,0.000049375147,0.000102620324,0.00017849302,0.00019146495,0.00015870723,0.00011942405,0.00059803796,0.000046797748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117431635,0.0001047814,0.9921557,0.0000124448325,0.000029670791,0.0000045641837,0.00040876595,0.00049521297,0.00008042885,0.004929324,0.0002302478,0.0014314763],"study_design_scores_gemma":[0.00036313766,0.000078751174,0.98028725,0.00003537651,0.000002003653,0.00001672142,0.0007864315,0.0014663425,0.000044799428,0.009537167,0.007326978,0.00005503699],"about_ca_topic_score_codex":0.00060713466,"about_ca_topic_score_gemma":0.00011816134,"teacher_disagreement_score":0.02635018,"about_ca_system_score_codex":0.0002740884,"about_ca_system_score_gemma":0.0000522522,"threshold_uncertainty_score":0.9990768},"labels":[],"label_agreement":null},{"id":"W1994803730","doi":"10.1002/mde.1470","title":"Are multi‐resort ski conglomerates more efficient?","year":2009,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Frontier; Production (economics); Business; Geography; Economics; Microeconomics; Archaeology","score_opus":0.06304092702240953,"score_gpt":0.22794924229578784,"score_spread":0.1649083152733783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994803730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98999196,0.0007254958,0.0043055774,0.00049176073,0.00068748684,0.00021955404,0.0000863247,0.000037918977,0.0034539006],"genre_scores_gemma":[0.9945844,0.0004911139,0.002926275,0.001249712,0.00016934208,0.000009009122,0.000023113857,0.000020117343,0.00052695256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846995,0.000006411148,0.00067206996,0.00057168683,0.000019538,0.0002603703],"domain_scores_gemma":[0.99905586,0.000050845185,0.0004481056,0.00031072958,0.000007447924,0.00012703735],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003897716,0.00020607737,0.0004408464,0.00017390047,0.00016453279,0.00020870808,0.00017281223,0.00012295664,0.0003780615],"category_scores_gemma":[0.0000553981,0.0002375072,0.0001025635,0.00006451863,0.00007676986,0.00022632004,0.00008357827,0.00008657679,0.0009215701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005382979,0.0010226556,0.3951601,0.000039131584,0.0002003161,0.000035920304,0.00091235805,0.059309654,0.000077432276,0.34862375,0.006311968,0.18776841],"study_design_scores_gemma":[0.0022449032,0.000077022494,0.85712385,0.000014448377,0.000010376018,0.000008368877,0.0002372004,0.059709955,0.000045840483,0.059411865,0.020590711,0.000525477],"about_ca_topic_score_codex":0.000023438464,"about_ca_topic_score_gemma":0.000008761397,"teacher_disagreement_score":0.46196374,"about_ca_system_score_codex":0.00010114965,"about_ca_system_score_gemma":0.0000041034327,"threshold_uncertainty_score":0.99985635},"labels":[],"label_agreement":null},{"id":"W1995124281","doi":"10.1016/j.biocon.2012.01.064","title":"Estimating land and conservation management costs: The first step in designing a stewardship program for the Northern Territory","year":2012,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nature Conservancy of Canada; Australian Research Council; Nature Conservancy","keywords":"Stewardship (theology); Land management; Incentive; Conservation Reserve Program; Business; Environmental resource management; Land use; Opportunity cost; Environmental planning; Geography; Agriculture; Economics; Ecology","score_opus":0.14827319552701307,"score_gpt":0.25150926359071585,"score_spread":0.10323606806370278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995124281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98192245,0.0008617785,0.0116915805,0.0037857264,0.00016743352,0.0012017284,0.000013087924,0.000024312381,0.0003318879],"genre_scores_gemma":[0.9917096,0.0000624795,0.00635515,0.0011007789,0.00009203467,0.0006079796,0.000037687383,0.000006975582,0.000027326752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992934,0.000027955153,0.0003199974,0.00016662544,0.000019017538,0.00017301485],"domain_scores_gemma":[0.9993382,0.000341287,0.00018363098,0.00010887338,0.000006807735,0.00002119414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012418943,0.00008725642,0.00011780408,0.000028843237,0.00020617938,0.000049517697,0.00008848977,0.0000647908,0.000014564231],"category_scores_gemma":[0.000093064715,0.0000588943,0.00002930618,0.00005392865,0.00008091459,0.00015270755,0.00004000535,0.00006410177,0.000019325827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001534209,0.00003907329,0.9846358,0.000013671157,0.000014473384,6.173353e-8,0.00012009762,0.000059713046,0.0000022070085,0.0064686798,0.00013398565,0.008496907],"study_design_scores_gemma":[0.00040084886,0.000052961364,0.9464127,0.0000132873265,0.0000060751527,8.143051e-7,0.00021497157,0.040266953,0.0000028911886,0.0013049222,0.0112362355,0.00008736824],"about_ca_topic_score_codex":0.00036243934,"about_ca_topic_score_gemma":0.00036425792,"teacher_disagreement_score":0.04020724,"about_ca_system_score_codex":0.00013350771,"about_ca_system_score_gemma":0.000002873892,"threshold_uncertainty_score":0.240164},"labels":[],"label_agreement":null},{"id":"W1995425070","doi":"10.1016/j.ecolecon.2004.01.013","title":"Do children matter? An examination of gender differences in environmental valuation","year":2004,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":183,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Contingent valuation; Willingness to pay; Recreation; Valuation (finance); Economics; Psychology; Demographic economics; Political science; Microeconomics","score_opus":0.09539834136989948,"score_gpt":0.20864102285562264,"score_spread":0.11324268148572315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995425070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950819,0.00010778887,0.00039698888,0.00006472921,0.000117562726,0.00028102513,0.00008473192,0.000010503306,0.003854748],"genre_scores_gemma":[0.9986747,0.00022874154,0.0007075924,0.00014138455,0.000041612526,0.0000344805,0.0001227434,0.000014285008,0.000034445882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855715,0.000033428976,0.0007348915,0.00044845667,0.000021242975,0.00020483026],"domain_scores_gemma":[0.9993206,0.000029899767,0.00037373995,0.00021222097,0.0000019306547,0.00006160333],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00066575425,0.00014822224,0.00034944166,0.00015393454,0.000048051093,0.00002951871,0.00018970188,0.00016045125,0.0022903697],"category_scores_gemma":[0.000015986243,0.00017309243,0.000070563394,0.000042680924,0.000100057885,0.00044061537,0.000059503775,0.00010272015,0.00085748173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055723813,0.0003931045,0.96088904,0.0000028881293,0.0000148886475,2.2239075e-7,0.00036503747,0.0055708108,0.000021564641,0.031735957,0.0000016821101,0.0009992194],"study_design_scores_gemma":[0.0008503641,0.00013877818,0.92601675,0.0000020608322,0.000003669957,0.0000022486447,0.00014305918,0.001113435,0.000065823326,0.071474195,0.0000072803564,0.00018234637],"about_ca_topic_score_codex":0.0000421874,"about_ca_topic_score_gemma":0.000025213543,"teacher_disagreement_score":0.039738238,"about_ca_system_score_codex":0.0005305527,"about_ca_system_score_gemma":0.000009333435,"threshold_uncertainty_score":0.9999205},"labels":[],"label_agreement":null},{"id":"W1995547912","doi":"10.1139/x02-164","title":"Estimating impacts of resource management policies in the Foothills Model Forest","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Foothills; Visitor pattern; Economics; Economic impact analysis; Natural resource economics; Policy analysis; Scale (ratio); Resource (disambiguation); Forest management; Economic model; Environmental resource management; Forestry; Geography; Macroeconomics; Political science","score_opus":0.16922362930890142,"score_gpt":0.29450256794728763,"score_spread":0.1252789386383862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995547912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9546611,0.0007071103,0.00064616365,0.0006053628,0.000047566806,0.00016096616,0.000016153444,6.055292e-7,0.043154996],"genre_scores_gemma":[0.9980609,0.000048283906,0.0015406152,0.00009027968,0.000033493096,0.000005256806,0.0000020385671,0.000011644582,0.00020749817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875045,0.00006855703,0.0005853947,0.000111466295,0.00008997498,0.00039418243],"domain_scores_gemma":[0.9992341,0.00010144613,0.000242551,0.00021380579,0.000026720256,0.00018140874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004322527,0.000073276686,0.0001941306,0.0007224143,0.00012603003,0.00006217415,0.000366277,0.000050319824,0.00007467662],"category_scores_gemma":[0.00029004915,0.0000663331,0.00007093931,0.00025753232,0.00015689958,0.00016159342,0.000015684935,0.00028043875,0.000028248423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035106932,0.000016634425,0.73063815,0.000021115813,0.000015310077,0.000011771819,0.0013258315,0.07971386,0.0000010138534,0.18696316,0.0011070177,0.00018266143],"study_design_scores_gemma":[0.0004987872,0.00012742748,0.87226653,0.00007276369,0.0000034535328,0.00002723183,0.0015223924,0.009961432,0.000012076291,0.11206841,0.0033432278,0.000096270494],"about_ca_topic_score_codex":0.005699749,"about_ca_topic_score_gemma":0.032180946,"teacher_disagreement_score":0.14162841,"about_ca_system_score_codex":0.0003747384,"about_ca_system_score_gemma":0.00015644028,"threshold_uncertainty_score":0.98547924},"labels":[],"label_agreement":null},{"id":"W1995681843","doi":"10.1016/j.jval.2013.11.009","title":"Specification of the Utility Function in Discrete Choice Experiments","year":2014,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Function (biology); Specification; Valuation (finance); Econometrics; Marginal utility; Contingent valuation; Willingness to pay; Discrete choice; Expected utility hypothesis; Economics; Nonlinear system; Computer science; Mathematical optimization; Mathematical economics; Microeconomics; Mathematics; Accounting","score_opus":0.1865132108318176,"score_gpt":0.2666681982838322,"score_spread":0.0801549874520146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995681843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912193,0.0003518334,0.0022833585,0.00055776763,0.0003217514,0.0002268348,0.0000076003316,0.0000037835434,0.0050277766],"genre_scores_gemma":[0.99949914,0.00006615491,0.00014424346,0.00015057146,0.000032879903,0.000010127084,0.000005736676,0.0000058561327,0.00008527055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901944,0.000057835114,0.0005872084,0.00018607875,0.000024003153,0.00012541602],"domain_scores_gemma":[0.99939424,0.000049413287,0.0003023923,0.00022903491,0.0000019042467,0.000023022769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014940045,0.000051711155,0.00014934145,0.000079757294,0.000028903325,0.0000044070316,0.00008764935,0.000038924234,0.00010664867],"category_scores_gemma":[0.000060840423,0.000052274623,0.000029909168,0.0001163168,0.000029167213,0.00009011983,0.000022462504,0.00007623864,0.000054584394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068334384,0.000047156922,0.96327806,0.000020940071,0.0000013591148,5.495776e-9,0.00027032202,0.0015744817,0.000014693541,0.03354104,0.000034188648,0.0012108973],"study_design_scores_gemma":[0.00028758243,0.000028490922,0.96313316,0.000016505268,2.66955e-7,6.477664e-8,0.000054632448,0.023985328,0.00008032408,0.009108768,0.0032622265,0.000042683056],"about_ca_topic_score_codex":0.0050747106,"about_ca_topic_score_gemma":0.00011950818,"teacher_disagreement_score":0.024432272,"about_ca_system_score_codex":0.00025210378,"about_ca_system_score_gemma":0.000008945743,"threshold_uncertainty_score":0.76714784},"labels":[],"label_agreement":null},{"id":"W1995907847","doi":"10.1016/j.reseneeco.2009.02.001","title":"Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles","year":2009,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":290,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; McMaster University","funders":"Natural Resources Canada","keywords":"Multicollinearity; Willingness to pay; Econometrics; Electric vehicle; Revealed preference; Popularity; Economics; Intuition; Market share; Computer science; Statistics; Microeconomics; Mathematics; Regression analysis","score_opus":0.05532968487035284,"score_gpt":0.2518678721631368,"score_spread":0.19653818729278394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995907847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924174,0.0017866596,0.000059091242,0.0014938426,0.00002770124,0.00014397388,0.000021116335,0.00000973891,0.0040404727],"genre_scores_gemma":[0.9979299,0.00093043596,0.000022680377,0.000586403,0.00006498826,0.000014623821,0.0000070056735,0.000017755296,0.00042624795],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987931,0.000087932225,0.0004557102,0.00034614847,0.000017936716,0.00029914165],"domain_scores_gemma":[0.99872315,0.00065735815,0.00018666932,0.0003270636,0.000010153975,0.0000956181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015473759,0.00013962363,0.00030385496,0.0001511601,0.00035680103,0.00009043826,0.00017246722,0.000052438285,0.00001767789],"category_scores_gemma":[0.0000912516,0.0001130032,0.000048018974,0.00014175918,0.00010571482,0.00010752481,0.00007744932,0.00016443228,0.000015149417],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005557061,0.0002962056,0.23439361,0.00010617362,0.00048996217,0.00007170913,0.0056679305,0.083130494,0.0012578457,0.3311166,0.0030686737,0.3398451],"study_design_scores_gemma":[0.005097084,0.0027969948,0.29403278,0.00008479163,0.0000910085,0.0005570776,0.0019363118,0.36527777,0.0053228904,0.069140464,0.25429067,0.0013721479],"about_ca_topic_score_codex":0.00090681406,"about_ca_topic_score_gemma":0.00010159025,"teacher_disagreement_score":0.33847293,"about_ca_system_score_codex":0.00008502627,"about_ca_system_score_gemma":0.000007381182,"threshold_uncertainty_score":0.46081367},"labels":[],"label_agreement":null},{"id":"W1995931462","doi":"10.1007/s10640-013-9743-y","title":"Performance of the Ambient Tax: Does the Nature of the Damage Matter?","year":2013,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"","keywords":"Pollution; Environmental science; Ambient pressure; Tax basis; Natural resource economics; Business; Economics; Public economics; Ecology; Tax reform; Meteorology","score_opus":0.00869067564264343,"score_gpt":0.13890798053207284,"score_spread":0.13021730488942942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995931462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938959,0.0003177868,0.0000010102254,0.0015885476,0.00022151855,0.00033902752,0.00011703685,0.0000022220727,0.003516983],"genre_scores_gemma":[0.9957692,0.00035088943,0.000022484775,0.00061824266,0.000042554802,0.000020816453,0.0000052266073,0.00001598832,0.0031545695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991038,0.000023405071,0.00045652597,0.00023299994,0.000029387853,0.00015390746],"domain_scores_gemma":[0.998978,0.000031601325,0.00047119413,0.000487095,9.815732e-7,0.000031109525],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022506852,0.00013405397,0.00020167042,0.000022870701,0.00019423946,0.00002160177,0.00040460864,0.000110544555,0.0009778985],"category_scores_gemma":[0.000003947218,0.00007166719,0.00012526414,0.000026764097,0.00050442305,0.00013470507,0.00034927894,0.0002246133,0.00020730899],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042636525,0.000040821564,0.99647605,0.000013628338,0.00002747457,1.2398272e-8,0.00037054057,0.00071831694,0.00053674856,0.0009883525,0.00039671344,0.00042707025],"study_design_scores_gemma":[0.0002166588,0.000021455646,0.98435485,0.000008972128,0.000008224537,0.0000024834885,0.0004521803,0.0020361491,0.0028840594,0.00088022195,0.009027629,0.000107107066],"about_ca_topic_score_codex":0.0000783423,"about_ca_topic_score_gemma":0.000007208987,"teacher_disagreement_score":0.012121199,"about_ca_system_score_codex":0.00008289605,"about_ca_system_score_gemma":0.0000031692425,"threshold_uncertainty_score":0.9999353},"labels":[],"label_agreement":null},{"id":"W1996685625","doi":"10.1016/j.jenvman.2013.07.034","title":"Willingness-to-pay for water quality improvements in Chinese rivers: An empirical test on the ordering effects of multiple-bounded discrete choices","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Willingness to pay; Order (exchange); China; Quality (philosophy); Government (linguistics); Estimation; Discrete choice; Economics; Water quality; Fishing; Investment (military); Household income; Environmental economics; Econometrics; Agricultural economics; Business; Microeconomics; Geography; Fishery; Finance","score_opus":0.041302031130238656,"score_gpt":0.25682406998588686,"score_spread":0.2155220388556482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996685625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964763,0.00004145103,0.0015776791,0.0005228802,0.00020636691,0.0009288235,0.000024338871,0.0000027065882,0.00021947212],"genre_scores_gemma":[0.9980835,0.00008488441,0.0010542204,0.0003920016,0.000059443042,0.00008327839,0.000009027521,0.00001994438,0.00021371638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985839,0.00002912588,0.00083261245,0.00024385274,0.00008623782,0.00022428652],"domain_scores_gemma":[0.9990646,0.00017706446,0.00045037922,0.00022884695,0.0000028714915,0.000076206416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006995004,0.00016555042,0.00032687717,0.00012661575,0.00007077759,0.000042031344,0.00026823848,0.00004164406,0.00022708258],"category_scores_gemma":[0.00004566425,0.000105666375,0.00012508468,0.000043299573,0.000048371865,0.00039816397,0.00011868091,0.00010684069,0.00010618054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005502092,0.00061035296,0.9905996,0.00007581829,0.000091747504,0.0000013670583,0.0005408603,0.0016111599,0.003710517,0.00018723751,0.000030167354,0.0024862022],"study_design_scores_gemma":[0.0017243947,0.0005630308,0.98953074,0.000031592463,0.000011809309,4.1492106e-7,0.0002661662,0.0015419557,0.0014497914,0.0041767433,0.00054854504,0.00015480272],"about_ca_topic_score_codex":0.000082055,"about_ca_topic_score_gemma":0.00001328689,"teacher_disagreement_score":0.0039895056,"about_ca_system_score_codex":0.00029182527,"about_ca_system_score_gemma":0.0000013255822,"threshold_uncertainty_score":0.43089497},"labels":[],"label_agreement":null},{"id":"W1997506447","doi":"10.1300/j172v01n04_01","title":"Tourist Attitudes Towards the Environment","year":2001,"lang":"en","type":"article","venue":"Journal of Teaching in Travel & Tourism","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Contingent valuation; Tourism; Willingness to pay; Privilege (computing); Business; Valuation (finance); Marketing; Nature tourism; Economics; Ecotourism; Geography; Political science; Microeconomics; Finance","score_opus":0.08727074969219824,"score_gpt":0.24002674280315478,"score_spread":0.15275599311095656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997506447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97259325,0.0015562082,0.004700899,0.0029451586,0.00038505314,0.00009691723,0.000008130697,0.000003972054,0.017710406],"genre_scores_gemma":[0.9959134,0.0007991997,0.0014210974,0.00028945375,0.00032545414,0.00000352725,0.0000021492385,0.000016646874,0.0012290912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867153,0.00004773027,0.00085078157,0.00015864962,0.000068165195,0.00020316479],"domain_scores_gemma":[0.99911106,0.000048983457,0.00058686745,0.00019034297,0.0000022851839,0.000060470935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021415355,0.00012536412,0.00030691447,0.0001485385,0.00011455438,0.00005121305,0.00031386732,0.000071818075,0.000530481],"category_scores_gemma":[0.00004644456,0.000105251485,0.00014162916,0.00003418947,0.000054425513,0.00025441317,0.000044653567,0.0005217202,0.00013974638],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028069713,0.00046268385,0.9643678,0.000011222845,0.00010429423,0.0000784336,0.002244507,0.0057978695,0.00012057172,0.01051787,0.003566808,0.012699867],"study_design_scores_gemma":[0.00062302104,0.00009388053,0.96327335,0.00002044376,0.00000854977,0.00006925679,0.00026275808,0.0005060511,0.000023925279,0.0075815213,0.027396759,0.0001404929],"about_ca_topic_score_codex":0.0002295991,"about_ca_topic_score_gemma":0.000015167635,"teacher_disagreement_score":0.023829952,"about_ca_system_score_codex":0.00031887242,"about_ca_system_score_gemma":0.000010344744,"threshold_uncertainty_score":0.5808395},"labels":[],"label_agreement":null},{"id":"W1997629163","doi":"10.1371/journal.pone.0031672","title":"Selection of Reserves for Woodland Caribou Using an Optimization Approach","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Forest Resource Improvement Association of Alberta; University of Alberta; Alberta-Pacific Forest Industries","keywords":"Woodland caribou; Odocoileus; Woodland; Range (aeronautics); Geography; Opportunity cost; Habitat; Environmental resource management; Ecology; Environmental science; Biology; Economics; Engineering","score_opus":0.34448012509473747,"score_gpt":0.23743273494705325,"score_spread":0.10704739014768422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997629163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9251238,0.00016679797,0.07327982,0.000009986554,0.00003002098,0.00021445048,0.000050953735,0.000008976147,0.0011151923],"genre_scores_gemma":[0.8889979,0.000029656965,0.11062351,0.00000965523,0.00010560736,0.00002222261,0.00011487744,0.000013236198,0.00008331142],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994804,0.000008568921,0.00024270326,0.00012580994,0.000018346273,0.00012416972],"domain_scores_gemma":[0.99967027,0.000010908375,0.00017882098,0.00009345153,0.00001007115,0.000036470778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003419066,0.000053454303,0.00016085619,0.00006863727,0.00005212452,0.00001113836,0.00004420614,0.000054915396,0.000109212975],"category_scores_gemma":[0.000025565374,0.000068342975,0.000027664439,0.0000515828,0.000015503463,0.00044248815,0.000011418855,0.000028507115,0.000005315961],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013320634,0.0010926223,0.9533505,0.00006812365,0.000072967305,2.4194364e-9,0.0002949799,0.04104809,0.0007864301,0.0032371446,0.000007192636,0.000028623992],"study_design_scores_gemma":[0.0004937232,0.00010741605,0.11858655,0.000011098924,0.000041273837,3.818317e-7,0.00009383435,0.87527996,0.0046575237,0.0005599804,0.000015471802,0.00015277958],"about_ca_topic_score_codex":0.000088828696,"about_ca_topic_score_gemma":0.000003171006,"teacher_disagreement_score":0.83476394,"about_ca_system_score_codex":0.00008395115,"about_ca_system_score_gemma":0.0000033881806,"threshold_uncertainty_score":0.27869454},"labels":[],"label_agreement":null},{"id":"W1998069918","doi":"10.1007/s11166-009-9077-x","title":"Dirty money: Is there a wage premium for working in a pollution intensive industry?","year":2009,"lang":"en","type":"article","venue":"Journal of Risk and Uncertainty","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Compensating differential; Wage; Economics; Value (mathematics); Quarter (Canadian coin); Labour economics; Differential (mechanical device); Work (physics); Risk premium; Efficiency wage; Wage share; Monetary economics","score_opus":0.05861902698601548,"score_gpt":0.23330259679490603,"score_spread":0.17468356980889055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998069918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99395263,0.002665143,0.0012607264,0.001281317,0.00012982068,0.00011140851,0.000031925763,0.0000023964021,0.0005646553],"genre_scores_gemma":[0.9973139,0.001555811,0.0003735016,0.0005435583,0.00011736934,0.000001980038,0.0000020942323,0.0000056389877,0.0000861571],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992231,0.000013196171,0.0004761775,0.00013101868,0.00002117368,0.00013529691],"domain_scores_gemma":[0.99926394,0.000041002266,0.0005524938,0.000070540795,0.000020264755,0.000051754945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006022884,0.000086640925,0.00026771874,0.00012532304,0.000053219293,0.0000279676,0.000065448214,0.00013097837,0.000046784975],"category_scores_gemma":[0.00012526878,0.00007950137,0.00008959225,0.000061576364,0.000023505194,0.0001653166,0.000011125065,0.00026575467,0.0000044861986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019845022,0.00008190073,0.9451017,0.000005223804,0.000043140182,0.0000030120555,0.0027608078,0.0037362843,0.000028645178,0.0053302357,0.0011450431,0.04156557],"study_design_scores_gemma":[0.0014707198,0.00022761007,0.92791945,0.00005768467,0.0000143327925,0.0000095341575,0.0011699906,0.0057528596,0.000036759688,0.057787623,0.0054237475,0.00012969936],"about_ca_topic_score_codex":0.000108986096,"about_ca_topic_score_gemma":0.000025755882,"teacher_disagreement_score":0.052457385,"about_ca_system_score_codex":0.00016754605,"about_ca_system_score_gemma":0.000010700473,"threshold_uncertainty_score":0.32419717},"labels":[],"label_agreement":null},{"id":"W1998841593","doi":"10.1016/j.marpol.2013.08.028","title":"Time preference of small-scale fishers in open access and traditionally managed reef fisheries","year":2013,"lang":"en","type":"article","venue":"Marine Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Pew Charitable Trusts","keywords":"Fishery; Reef; Preference; Scale (ratio); Marine protected area; Business; Geography; Ecology; Economics; Biology; Habitat; Cartography","score_opus":0.16542346253838386,"score_gpt":0.24694195758864776,"score_spread":0.0815184950502639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998841593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8162203,0.000013748921,0.000016504973,0.001997757,0.000016541173,0.00024413122,0.00003385464,0.000005697802,0.18145148],"genre_scores_gemma":[0.99077153,0.00011194191,0.0007347975,0.00037643936,0.000031266074,0.00007780671,0.000049961207,0.000011047837,0.007835184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930376,0.000010473471,0.0003313821,0.00021437637,0.000013251538,0.0001267557],"domain_scores_gemma":[0.99962354,0.000024529843,0.00014676318,0.00015961162,0.0000040116965,0.000041523657],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017197293,0.00008076186,0.00021386903,0.00013871507,0.00002704732,0.00013359718,0.0003550724,0.00004111652,0.0039832112],"category_scores_gemma":[0.000028181823,0.000097507655,0.000021777923,0.00009719916,0.00007726124,0.0008019818,0.00048757822,0.0000545065,0.0002255881],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000703303,0.000054089214,0.9796412,0.000022406091,0.000013262595,1.8044396e-7,0.00019075724,0.000046227335,0.000012946558,0.01403509,0.0014413286,0.004535482],"study_design_scores_gemma":[0.00037587804,0.00002550081,0.9183606,0.0000052729542,0.0000012872287,6.749681e-7,0.000020191159,0.0013331698,0.000019819516,0.07883768,0.0009241613,0.00009577549],"about_ca_topic_score_codex":0.012266434,"about_ca_topic_score_gemma":0.00054763467,"teacher_disagreement_score":0.17455128,"about_ca_system_score_codex":0.00007763371,"about_ca_system_score_gemma":0.000011366199,"threshold_uncertainty_score":0.99692726},"labels":[],"label_agreement":null},{"id":"W1999308861","doi":"10.1007/s10198-004-0265-y","title":"Time preference bias in time trade-off","year":2004,"lang":"en","type":"article","venue":"The European Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Time preference; Preference; Econometrics; Economics; Discounting; Time-trade-off; Psychology; Microeconomics","score_opus":0.1918451023523698,"score_gpt":0.23400957292674046,"score_spread":0.04216447057437067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999308861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796826,0.0020714547,0.00021315111,0.0066256872,0.00024536977,0.00016822087,0.000025641702,0.000008131523,0.010959739],"genre_scores_gemma":[0.9952095,0.0024984493,0.00047870187,0.0012778541,0.0001853515,0.000001162462,0.000006099194,0.000038877897,0.00030397883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99758863,0.00020684682,0.0016922122,0.00019992887,0.000025475687,0.0002868833],"domain_scores_gemma":[0.9980619,0.0000618734,0.0015018104,0.00026111235,0.000004472851,0.00010885599],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006965877,0.00014585677,0.00047103837,0.00017052228,0.00010008164,0.00005147055,0.0005191317,0.00002843711,0.00026913334],"category_scores_gemma":[0.00004677785,0.00013706289,0.00012065171,0.00006776141,0.0000903182,0.0003086953,0.000062344785,0.00028327233,0.0037315367],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045793696,0.0021549677,0.20846009,0.00020192322,0.0005888428,0.00009390498,0.025437577,0.45489907,0.000105116356,0.070196785,0.011272728,0.22613104],"study_design_scores_gemma":[0.004973112,0.0008714272,0.9038767,0.00014498491,0.000011360053,0.00015815324,0.00025775822,0.0022598882,0.00004055633,0.032827057,0.054023363,0.00055563834],"about_ca_topic_score_codex":0.000023771176,"about_ca_topic_score_gemma":0.000006127548,"teacher_disagreement_score":0.6954166,"about_ca_system_score_codex":0.0005740132,"about_ca_system_score_gemma":0.000077776655,"threshold_uncertainty_score":0.99704415},"labels":[],"label_agreement":null},{"id":"W2000408014","doi":"10.1016/j.socec.2003.10.003","title":"Can willingness to pay capture the value of altruism? An exploration of Sen’s notion of commitment","year":2003,"lang":"en","type":"article","venue":"The Journal of Socio-Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Willingness to pay; Sympathy; Contingent valuation; Assertion; Altruism (biology); Willingness to accept; Value (mathematics); Social psychology; Valuation (finance); Meaning (existential); Regret; Psychology; Economics; Microeconomics; Mathematics","score_opus":0.09712141395888485,"score_gpt":0.23333626572126206,"score_spread":0.13621485176237721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000408014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294174,0.00024164091,0.0036936672,0.0019539902,0.0003790726,0.000215562,0.00007356774,0.0000015420759,0.000499234],"genre_scores_gemma":[0.9978505,0.0011726927,0.0006250896,0.00019222978,0.000072024195,0.000003791177,0.000006260292,0.000017483777,0.00005997951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9984798,0.000097524666,0.0011528281,0.00010870717,0.00003601965,0.0001251133],"domain_scores_gemma":[0.99759436,0.000105140716,0.0019052929,0.0002944596,0.00004574529,0.000055025957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022343383,0.00011909581,0.00042576896,0.00007982024,0.000083247,0.000010829299,0.00027993714,0.000081250146,0.00005753273],"category_scores_gemma":[0.00004500645,0.000086363616,0.00014250886,0.00005890809,0.00012473593,0.00040528036,0.000026641734,0.00014688041,0.000007925019],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016338385,0.00047491668,0.19114351,0.000072895375,0.0004236424,2.604312e-7,0.042994823,0.498094,0.0006861059,0.2637006,0.00020041855,0.0020454489],"study_design_scores_gemma":[0.004502704,0.0020414032,0.51984686,0.00014560811,0.0003762699,0.000041487845,0.06717564,0.0104993,0.023409147,0.36546993,0.005561338,0.0009303258],"about_ca_topic_score_codex":0.00025603577,"about_ca_topic_score_gemma":0.00005124065,"teacher_disagreement_score":0.4875947,"about_ca_system_score_codex":0.00026788143,"about_ca_system_score_gemma":0.000050285395,"threshold_uncertainty_score":0.3521806},"labels":[],"label_agreement":null},{"id":"W2001447662","doi":"10.1111/j.1744-7976.2010.01197.x","title":"Cost‐Sharing Incentive Programs for Source Water Protection: The Grand River's Rural Water Quality Program","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Brock University","funders":"Canadian Water Network","keywords":"Incentive; Liberian dollar; Incentive program; Welfare economics; Forestry; Water quality; Business; Geography; Economics; Finance","score_opus":0.09391245027715192,"score_gpt":0.19943223679180555,"score_spread":0.10551978651465363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001447662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990051,0.00010264707,0.00012765416,0.004280075,0.0025602146,0.0019222972,0.00017002721,0.000019115025,0.00076700636],"genre_scores_gemma":[0.99623686,0.000024063913,0.00034979742,0.00023395648,0.0010971564,0.00035038288,0.00019401751,0.00004488538,0.0014688979],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967555,0.000026510634,0.0015603623,0.00051419355,0.000011270929,0.0011321928],"domain_scores_gemma":[0.9977296,0.000042589436,0.00083102146,0.00038681313,0.000110668596,0.00089928566],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014586186,0.00038619398,0.0007315513,0.00022083786,0.00067259773,0.00046014276,0.0007778981,0.00024324923,0.0005294452],"category_scores_gemma":[0.000054748856,0.00026070798,0.0005090631,0.00005982594,0.0003561031,0.0009567896,0.000060662587,0.0005782199,0.00023661746],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070654496,0.0006101518,0.63716197,0.00048667483,0.0035307994,0.000033120436,0.06597455,0.019935235,0.0017144701,0.13811927,0.0043427194,0.12738451],"study_design_scores_gemma":[0.005588813,0.0013031691,0.43888175,0.000087530505,0.00017204408,0.0006411096,0.0066833044,0.0013961713,0.0022991213,0.055080917,0.48549747,0.0023685875],"about_ca_topic_score_codex":0.023089804,"about_ca_topic_score_gemma":0.41976705,"teacher_disagreement_score":0.48115477,"about_ca_system_score_codex":0.0014113336,"about_ca_system_score_gemma":0.000097807126,"threshold_uncertainty_score":0.9999845},"labels":[],"label_agreement":null},{"id":"W2001681570","doi":"10.1080/15287390490491161","title":"THE VALUE OF GOOD QUALITY DRINKING WATER TO CANADIANS AND THE ROLE OF RISK PERCEPTIONS: A PRELIMINARY ANALYSIS","year":2004,"lang":"en","type":"article","venue":"Journal of Toxicology and Environmental Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; University of Alberta","funders":"","keywords":"Investment (military); Value (mathematics); Risk perception; Perception; Quality (philosophy); Business; Water quality; Consumer confidence index; Environmental economics; Public economics; Economics; Actuarial science; Marketing; Psychology; Computer science","score_opus":0.021887052043805116,"score_gpt":0.2367648981871635,"score_spread":0.2148778461433584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001681570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938622,0.0030178411,0.00042532367,0.0023612168,0.00004819405,0.0001241546,0.000054196305,6.1545745e-7,0.00010624683],"genre_scores_gemma":[0.9951984,0.0041116695,0.0003426536,0.0002951998,0.000020385152,0.0000037663635,0.000003560464,0.000004545582,0.00001981514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887586,0.000099115496,0.0007332326,0.00011198323,0.00003394506,0.00014585858],"domain_scores_gemma":[0.9990757,0.000120237535,0.0005972057,0.00011834944,0.0000018727768,0.00008661675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018928538,0.0000695652,0.00035704815,0.00009846789,0.00022440762,0.0000070015417,0.000095188676,0.000051407027,0.000052184583],"category_scores_gemma":[0.000020447416,0.000045688696,0.000101888945,0.000039375005,0.00028103677,0.0000716909,0.000052362415,0.00012929477,0.0000044850053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021258873,0.00013137821,0.959237,0.000010538491,0.00032210228,3.7984438e-7,0.009852775,0.01051059,0.00015215963,0.015305987,0.0000061561104,0.0042583793],"study_design_scores_gemma":[0.00082079263,0.0003945158,0.9778584,0.000005747948,0.000060951337,0.000012268027,0.004217191,0.00027350412,0.000094555326,0.015978456,0.0002327135,0.000050881015],"about_ca_topic_score_codex":0.0029883233,"about_ca_topic_score_gemma":0.0013902782,"teacher_disagreement_score":0.018621456,"about_ca_system_score_codex":0.0002099521,"about_ca_system_score_gemma":0.000013927224,"threshold_uncertainty_score":0.4517471},"labels":[],"label_agreement":null},{"id":"W2001823578","doi":"10.1007/s10640-010-9355-8","title":"Values of Gains and Losses: Reference States and Choice of Measure","year":2010,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Measure (data warehouse); Economics; Value (mathematics); Econometrics; Empirical measure; Willingness to pay; Welfare; Microeconomics; Public economics; Statistics; Mathematics; Computer science","score_opus":0.05016776997602738,"score_gpt":0.19900888768288644,"score_spread":0.14884111770685907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001823578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950467,0.0014846384,0.000019010618,0.00009009867,0.000043805077,0.00011710488,0.00023219807,0.0000046710948,0.0029618249],"genre_scores_gemma":[0.99537414,0.003734408,0.00044937455,0.00006025375,0.00002989166,0.000004516801,0.00003126842,0.000016380534,0.00029976273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906725,0.000009724361,0.00044713722,0.00032424455,0.000018068844,0.0001335832],"domain_scores_gemma":[0.99934936,0.00006691709,0.00031841677,0.00017841607,0.0000011765596,0.000085704705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029656116,0.00013852702,0.0003164959,0.00006808136,0.000068788264,0.000017448227,0.00007990766,0.000115174,0.00018033998],"category_scores_gemma":[0.000013005316,0.00015389582,0.00003183314,0.000012554969,0.0004944995,0.00015632107,0.00012263503,0.00013889151,0.00001610058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016081229,0.00006994961,0.98629254,0.000038255523,0.00004529305,1.6101137e-7,0.00072505546,0.000080132115,0.0030713594,0.0063439626,0.000025530437,0.0032916851],"study_design_scores_gemma":[0.0007105349,0.00012165219,0.9800701,0.000010160749,0.000014753155,0.0000073799956,0.0007685341,0.0014923604,0.0013792103,0.0070769023,0.00811263,0.00023574197],"about_ca_topic_score_codex":0.00011593728,"about_ca_topic_score_gemma":0.000029174069,"teacher_disagreement_score":0.0080870995,"about_ca_system_score_codex":0.00002418622,"about_ca_system_score_gemma":0.0000029800383,"threshold_uncertainty_score":0.6275689},"labels":[],"label_agreement":null},{"id":"W2001912573","doi":"10.1007/s11116-010-9293-x","title":"Discretionary activity location choice: in-home or out-of-home?","year":2010,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"University of Toronto; Wilfrid Laurier University; Portland State University; Ohio State University","keywords":"Demographics; Travel behavior; Logit; Nested logit; Logistic regression; Mixed logit; Business; Geography; Transport engineering; Econometrics; Computer science; Economics; Demography; Engineering","score_opus":0.06454357672807305,"score_gpt":0.24326645622864201,"score_spread":0.17872287950056898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001912573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952166,0.00003780821,0.002908488,0.00017806943,0.0004970558,0.00017299133,0.00008236525,0.00001546472,0.00089116313],"genre_scores_gemma":[0.9989298,0.000042284595,0.0004343937,0.00002437938,0.00005062155,0.000030228925,0.0001910483,0.000013388687,0.0002838737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992286,0.000005731662,0.00040660865,0.00022143112,0.00002908008,0.000108557826],"domain_scores_gemma":[0.9995486,0.000034495748,0.00022721954,0.00014955307,0.0000086044,0.000031500153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002353353,0.00008574764,0.00017943977,0.000120011944,0.000029798965,0.000007404643,0.00007471774,0.0000931872,0.0009056123],"category_scores_gemma":[0.000013646084,0.00009694414,0.000042370724,0.00011959683,0.00004674679,0.00041274974,0.000002120016,0.00012280334,0.00019148736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039869068,0.00012335087,0.9802513,0.000035951933,0.0000084888525,4.5316432e-7,0.0005988881,0.00062617526,0.0012956014,0.015456806,0.000015966365,0.0015471596],"study_design_scores_gemma":[0.0004899064,0.000034835826,0.9927213,0.0000072809285,0.0000039275187,1.3688165e-7,0.00003569229,0.0010383618,0.00035046265,0.004545649,0.00064930384,0.00012313675],"about_ca_topic_score_codex":0.00032788902,"about_ca_topic_score_gemma":0.0034168812,"teacher_disagreement_score":0.012470016,"about_ca_system_score_codex":0.00004942846,"about_ca_system_score_gemma":0.000014419876,"threshold_uncertainty_score":0.991582},"labels":[],"label_agreement":null},{"id":"W2002516026","doi":"10.1111/j.1744-7976.2008.01141.x","title":"Willingness‐to‐Pay for Fresh Brand Name Beef","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Common value auction; Willingness to pay; Agricultural science; Mathematics; Economics; Humanities; Statistics; Art; Microeconomics; Biology","score_opus":0.053265023312702775,"score_gpt":0.17067223469196086,"score_spread":0.11740721137925808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002516026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822799,0.00067876914,0.00035725275,0.010677158,0.002087598,0.0005686232,0.00073097734,0.000011242146,0.0026084548],"genre_scores_gemma":[0.9936056,0.00010706719,0.001395588,0.0019710106,0.0011862752,0.000023545925,0.00009250244,0.000038404745,0.0015799644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.996686,0.000014764499,0.001718738,0.00058875926,0.000008052491,0.0009837329],"domain_scores_gemma":[0.9965274,0.00008534349,0.00112742,0.00032483722,0.000086906075,0.0018481051],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007723957,0.0003960993,0.0009918117,0.00042626855,0.0003146214,0.00024655557,0.0006828878,0.00021785704,0.0007868557],"category_scores_gemma":[0.00015144458,0.00038686156,0.00047956055,0.00012109848,0.00006887295,0.00088007416,0.000016910555,0.00027356666,0.0004027395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027159517,0.00017136004,0.27419147,0.00011765667,0.00093295897,0.000054552867,0.00665068,0.067901626,0.0002114752,0.5733412,0.060948975,0.015206468],"study_design_scores_gemma":[0.0021147872,0.0012159352,0.7795249,0.00007011063,0.000057610545,0.00025302084,0.0008220095,0.00038224665,0.00014426744,0.05629134,0.15797025,0.0011534943],"about_ca_topic_score_codex":0.007528781,"about_ca_topic_score_gemma":0.20203438,"teacher_disagreement_score":0.51704985,"about_ca_system_score_codex":0.0025487628,"about_ca_system_score_gemma":0.00023093895,"threshold_uncertainty_score":0.9998583},"labels":[],"label_agreement":null},{"id":"W2002548965","doi":"10.1111/j.1744-7976.2006.00043.x","title":"The Siting of Livestock Facilities and Environmental Regulations","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Livestock; Geography; Forestry; Agricultural science; Welfare economics; Business; Economics; Environmental science","score_opus":0.0342829343427368,"score_gpt":0.1380455009682416,"score_spread":0.10376256662550482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002548965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99210835,0.002284358,0.000016303213,0.0011917038,0.00046572823,0.00015970673,0.0005499713,0.000002955329,0.0032209107],"genre_scores_gemma":[0.9970314,0.0002141834,0.0001586387,0.00004049348,0.00027996913,0.000006571843,0.000054556986,0.000015719263,0.0021984554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980195,0.000017882006,0.0012724588,0.00024980467,0.000006255035,0.00043406806],"domain_scores_gemma":[0.9981576,0.00012365526,0.0011417341,0.00017534745,0.000018203307,0.00038344972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047338795,0.00019900526,0.00044899643,0.00017962081,0.0003688138,0.00011412485,0.00027446783,0.00009696993,0.00022546806],"category_scores_gemma":[0.000039988037,0.00018291285,0.00018309796,0.000043150096,0.00031678568,0.0005105702,0.000024533627,0.00015451311,0.000035776404],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023629427,0.000030616582,0.464382,0.000042885695,0.00026815798,0.00000723117,0.0023798298,0.0193825,0.00016228098,0.5092823,0.0022808164,0.0017577698],"study_design_scores_gemma":[0.0005267849,0.00016379629,0.94567364,0.000021645266,0.000022436063,0.0001797319,0.00434145,0.00043721055,0.00008476663,0.028653136,0.019551475,0.00034392512],"about_ca_topic_score_codex":0.029128583,"about_ca_topic_score_gemma":0.27040932,"teacher_disagreement_score":0.48129165,"about_ca_system_score_codex":0.001035982,"about_ca_system_score_gemma":0.00008794133,"threshold_uncertainty_score":0.9773365},"labels":[],"label_agreement":null},{"id":"W2002617533","doi":"10.1007/s10640-006-9039-6","title":"Public Preferences and Private Choices: Effect of Altruism and Free Riding on Demand for Environmentally Certified Pork","year":2006,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":154,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"U.S. Food and Drug Administration","keywords":"Altruism (biology); Public economics; Free riding; Public good; Private good; Marketing; Mixed logit; Affect (linguistics); Economics; Business; Crowding out; Certification; Willingness to pay; Survey data collection; Animal welfare; Welfare; Microeconomics; Incentive; Logistic regression; Psychology; Social psychology","score_opus":0.04539247266186814,"score_gpt":0.17349793684283202,"score_spread":0.12810546418096388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002617533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940868,0.002083438,0.00007192365,0.00020916098,0.00006172927,0.00050031155,0.00028924897,0.000010856082,0.0026865103],"genre_scores_gemma":[0.9974698,0.0014802732,0.00029434584,0.000096245654,0.00008603911,0.000054462893,0.0001002436,0.000033062573,0.00038554228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985332,0.000025747391,0.00056162965,0.00058552134,0.000028423341,0.0002654934],"domain_scores_gemma":[0.99908733,0.00017213135,0.00039081022,0.00024380758,4.4185674e-7,0.000105475236],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050620816,0.00025912386,0.00044771974,0.00010871935,0.00020099113,0.000067441084,0.00013431115,0.00014697727,0.00009198234],"category_scores_gemma":[0.000013765674,0.000268054,0.000070596114,0.0000146455595,0.00033244683,0.00022259165,0.0001784207,0.00010022437,0.000020678966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013083826,0.00013021482,0.9746085,0.00009969429,0.00010071764,4.4899554e-7,0.00019515782,0.00041870493,0.0010402699,0.017179336,0.000105937776,0.0059902244],"study_design_scores_gemma":[0.003510753,0.0008727018,0.94601357,0.00002521871,0.000041098174,0.000010977653,0.00013641201,0.002151116,0.003568411,0.020595903,0.022520173,0.00055368734],"about_ca_topic_score_codex":0.000041310148,"about_ca_topic_score_gemma":0.0000090015055,"teacher_disagreement_score":0.028594907,"about_ca_system_score_codex":0.00011241149,"about_ca_system_score_gemma":0.0000019344727,"threshold_uncertainty_score":0.9999772},"labels":[],"label_agreement":null},{"id":"W2002675568","doi":"10.1046/j.1523-1739.2001.0150041021.x","title":"Effects of Economic Prosperity on Numbers of Threatened Species","year":2001,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"World Bank Group","keywords":"Threatened species; Per capita; Biodiversity; Prosperity; Ecology; Geography; Taxonomic rank; Biology; Taxon; Demography; Population; Economics; Economic growth; Habitat","score_opus":0.08465230876383568,"score_gpt":0.2300366793118855,"score_spread":0.1453843705480498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002675568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819653,0.00023722128,0.00022753631,0.00035822255,0.00023741326,0.00023227217,0.00003283695,0.000007509395,0.016701665],"genre_scores_gemma":[0.9989079,0.00030073844,0.00013576343,0.0001847265,0.00002808025,0.000023507133,0.000040234332,0.000006428899,0.00037260412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992667,0.000018712028,0.0004171915,0.0001921652,0.00000931027,0.00009593293],"domain_scores_gemma":[0.9993833,0.0000840577,0.0003571639,0.00014677494,0.000009478636,0.00001924511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002516382,0.00007627576,0.0002673233,0.00007691459,0.000022770753,0.0000030620217,0.00008268905,0.0000831141,0.0006506829],"category_scores_gemma":[0.00005036506,0.00008653105,0.00005807311,0.000039555092,0.00012995006,0.00006868354,0.000019244882,0.000034752127,0.00019821776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022600438,0.00004318985,0.8295768,0.00001357296,0.000023240153,9.5594146e-8,0.000052240244,0.000058762867,0.0010934101,0.16871186,0.00013509579,0.00026916526],"study_design_scores_gemma":[0.00068951154,0.00013438174,0.9617139,0.0000071077457,0.000005530317,7.649139e-7,0.000019045547,0.0007277162,0.006947164,0.026228176,0.0034361195,0.00009058007],"about_ca_topic_score_codex":0.00025901172,"about_ca_topic_score_gemma":0.00003295675,"teacher_disagreement_score":0.14248368,"about_ca_system_score_codex":0.00010374865,"about_ca_system_score_gemma":0.000011434849,"threshold_uncertainty_score":0.7124522},"labels":[],"label_agreement":null},{"id":"W2003360289","doi":"10.5558/tfc84172-2","title":"A method for estimating the economic contribution of resource-based tourism","year":2008,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta; Simon Fraser University; Ministry of the Environment, Conservation and Parks","funders":"Ministry of Natural Resources","keywords":"Revenue; Tourism; Resource (disambiguation); Business; Accommodation; Natural resource economics; Geography; Economics; Computer science; Finance; Archaeology","score_opus":0.06017914523831762,"score_gpt":0.2492267196287034,"score_spread":0.18904757439038578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003360289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8287514,0.0005538606,0.16778791,0.0013034438,0.00012467493,0.00043010386,0.0000981936,0.000016387405,0.00093403115],"genre_scores_gemma":[0.988653,0.000009974325,0.010676216,0.00020256425,0.00017306553,0.00007620557,0.000031093114,0.000015636235,0.00016225243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915755,0.00002625855,0.00042203235,0.00018214194,0.00001963284,0.00019236056],"domain_scores_gemma":[0.9990311,0.00025688563,0.00036836648,0.0003129865,0.0000056855156,0.00002493453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097348937,0.0000905317,0.00019737471,0.000026582655,0.0002839246,0.000012506439,0.00023274186,0.000055398315,0.00015765165],"category_scores_gemma":[0.000049632312,0.0000703874,0.00012899969,0.000034810677,0.00013858269,0.000081810766,0.00003537357,0.0000796944,0.00010453307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013274392,0.00010050725,0.07637951,0.00004524728,0.00014504338,8.489174e-7,0.00090431276,0.75984997,0.00018368821,0.14895062,0.0097222105,0.0035852941],"study_design_scores_gemma":[0.0012741801,0.0001062277,0.049466923,0.000008816251,0.000013800028,0.000007162837,0.00004906662,0.91418666,0.0018005591,0.024248537,0.008708268,0.00012982952],"about_ca_topic_score_codex":0.00024262918,"about_ca_topic_score_gemma":0.000015722128,"teacher_disagreement_score":0.1599016,"about_ca_system_score_codex":0.00031539434,"about_ca_system_score_gemma":0.000044277767,"threshold_uncertainty_score":0.2870315},"labels":[],"label_agreement":null},{"id":"W2003859724","doi":"10.1093/ajae/aas108","title":"Risk Perceptions And Preferences For Ethical And Safety Credence Attributes","year":2013,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Credence; Session (web analytics); Library science; Sociology; Operations research; Advertising; Business; Computer science; Engineering","score_opus":0.041755788008084715,"score_gpt":0.21453161625564268,"score_spread":0.17277582824755797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003859724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536234,0.0003272162,0.0008246986,0.0028556692,0.00009932288,0.00017003444,0.000107773354,0.00000451259,0.00024842654],"genre_scores_gemma":[0.9887679,0.005467582,0.005266742,0.00028289863,0.000117392396,0.000012474748,0.00000950952,0.0000069690623,0.000068490015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989783,0.00002133355,0.0006331119,0.00019647108,0.000013416141,0.00015732867],"domain_scores_gemma":[0.9986812,0.00020677333,0.00087818166,0.00006865183,0.00003342421,0.00013178292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040812168,0.00012114977,0.00039007355,0.000054937893,0.00014094872,0.00009850084,0.00010861612,0.00007159879,0.00013885443],"category_scores_gemma":[0.00009024672,0.00009890993,0.00008803528,0.000036959565,0.00025361337,0.00046347923,0.000038585815,0.00022185604,0.000040088664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003864282,0.000050959658,0.9496166,0.000014652381,0.00019799166,1.0930626e-7,0.0013048263,0.0010491074,0.0001003716,0.015428156,0.0017873119,0.030411279],"study_design_scores_gemma":[0.0003585958,0.00038191504,0.9858434,0.000007720741,0.000017815348,0.000033668417,0.0022861466,0.0003721128,0.000010896819,0.009662943,0.0008682915,0.00015645397],"about_ca_topic_score_codex":0.0001895845,"about_ca_topic_score_gemma":0.000022014125,"teacher_disagreement_score":0.036226846,"about_ca_system_score_codex":0.000096789685,"about_ca_system_score_gemma":0.000009744755,"threshold_uncertainty_score":0.40334296},"labels":[],"label_agreement":null},{"id":"W2003867442","doi":"10.1111/j.1744-7976.2001.tb00291.x","title":"Cattle and Wildlife Competition for Forage: Budget Versus Bioeconomic Analyses of Public Range Improvements in British Columbia","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Canadian Forest Service; University of British Columbia","funders":"","keywords":"Forage; Forestry; Geography; Welfare economics; Population; Agricultural science; Economics; Agricultural economics; Environmental science; Ecology; Biology; Sociology; Demography","score_opus":0.09929061534584217,"score_gpt":0.20445891118344092,"score_spread":0.10516829583759875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003867442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944511,0.0010146179,0.0000434969,0.0012959415,0.0010911911,0.00044686455,0.00097283296,0.000004289328,0.00067968876],"genre_scores_gemma":[0.99783975,0.0007385758,0.00028749462,0.00025124973,0.00025679608,0.000034814293,0.00015879741,0.000030559968,0.0004019472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99717623,0.000023570943,0.0016731274,0.00045888967,0.0000072880403,0.0006608916],"domain_scores_gemma":[0.9974867,0.00011490153,0.0013776195,0.0002031921,0.00006707507,0.0007505181],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007833425,0.0002202395,0.0009012917,0.00039585604,0.00016702732,0.00032490244,0.000354528,0.00017235219,0.0005914166],"category_scores_gemma":[0.00012006277,0.00033957942,0.0002629665,0.000118299795,0.00017923588,0.0010323629,0.000028259168,0.00017154575,0.000023197246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006956278,0.00008051146,0.97511756,0.00009209677,0.0005348583,0.000015277303,0.0005314459,0.0028750875,0.000052267987,0.014045409,0.0021976328,0.004388308],"study_design_scores_gemma":[0.0046509625,0.00055425556,0.9742688,0.000049369835,0.000051235216,0.00015043418,0.0015685378,0.0004138492,0.000016318902,0.0065129763,0.011214853,0.00054840074],"about_ca_topic_score_codex":0.2744653,"about_ca_topic_score_gemma":0.97038,"teacher_disagreement_score":0.69591475,"about_ca_system_score_codex":0.0021286507,"about_ca_system_score_gemma":0.00021636838,"threshold_uncertainty_score":0.99990565},"labels":[],"label_agreement":null},{"id":"W2004289068","doi":"10.1108/09596110210424493","title":"Yield management: opportunities for private club managers","year":2002,"lang":"en","type":"article","venue":"International Journal of Contemporary Hospitality Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Yield management; Yield (engineering); Club; Context (archaeology); Marketing; Capacity management; Business; Hospitality industry; Hospitality; Hospitality management studies; Variable (mathematics); Economics; Revenue management; Tourism; Computer science; Finance; Mathematics","score_opus":0.2468815356418017,"score_gpt":0.2464299817502284,"score_spread":0.0004515538915733086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004289068","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25222188,0.003709324,0.05455815,0.016529914,0.0048295013,0.0011947808,0.0002358969,0.00005301747,0.6666675],"genre_scores_gemma":[0.9845629,0.0019289064,0.0024743518,0.0011052811,0.00019073635,0.00003353694,0.000024746947,0.000022917664,0.009656667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831444,0.000013913873,0.0011133581,0.00024553586,0.00014015111,0.00017262179],"domain_scores_gemma":[0.9986768,0.00003529349,0.0009469568,0.00021647083,0.000043431464,0.00008108671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008281085,0.00016386811,0.00030420063,0.0003705748,0.000058536738,0.000116595904,0.00060833385,0.00004857123,0.0005686218],"category_scores_gemma":[0.000018278111,0.00019019181,0.0002691404,0.000049736474,0.00006109194,0.0007902099,0.0001396959,0.0000854547,0.00011217237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001069236,0.00051821576,0.04413653,0.00014067837,0.0025749994,0.00024471385,0.00037078312,0.00033568073,0.0000019479874,0.86584574,0.06070378,0.025019996],"study_design_scores_gemma":[0.0046484815,0.00044986542,0.1036181,0.0002311186,0.000087605586,0.00002281562,0.0036212022,0.002309175,0.000051642663,0.12145452,0.76274997,0.00075549586],"about_ca_topic_score_codex":0.000008340144,"about_ca_topic_score_gemma":4.4822403e-7,"teacher_disagreement_score":0.7443912,"about_ca_system_score_codex":0.00021493196,"about_ca_system_score_gemma":0.0000026559346,"threshold_uncertainty_score":0.7755797},"labels":[],"label_agreement":null},{"id":"W2004389082","doi":"10.1111/cogs.12094","title":"Integrating Cognitive Process and Descriptive Models of Attitudes and Preferences","year":2013,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Technology Sydney; University of Victoria","keywords":"Choice set; Discrete choice; Computer science; Cognition; Set (abstract data type); Accumulator (cryptography); Perception; Process (computing); Consumer choice; Decision model; Revealed preference; Machine learning; Artificial intelligence; Econometrics; Psychology; Mathematics; Algorithm","score_opus":0.1380780106842407,"score_gpt":0.2616279590790362,"score_spread":0.1235499483947955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004389082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97691166,0.00064035825,0.004550852,0.00002231639,0.000032189277,0.0002672111,0.000041320534,0.0000065482814,0.017527536],"genre_scores_gemma":[0.9992479,0.00013973116,0.00043959284,0.00005457525,0.000007744691,0.0000466016,0.000002779196,0.0000045813968,0.000056498608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920785,0.000008014981,0.00023250123,0.0003644335,0.0000367928,0.00015040973],"domain_scores_gemma":[0.9995415,0.000086082,0.00018450597,0.00004160854,0.000082407314,0.00006389648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037487192,0.000088411354,0.0001695818,0.00011295113,0.00013117818,0.00007614535,0.00008321329,0.000028029619,0.000108177475],"category_scores_gemma":[0.0002323939,0.00008770479,0.000013155668,0.00013168271,0.0010762803,0.0013383958,0.00007484432,0.000062049585,0.00004019989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008595917,0.00006593078,0.94528484,0.00005313598,0.000023175395,2.2067282e-7,0.007428513,0.000012772732,0.0004445137,0.027180543,0.000002563016,0.019495191],"study_design_scores_gemma":[0.00031377902,0.00011800326,0.876744,0.00012431014,0.000006129086,0.0000023643506,0.009355675,0.010776667,0.0021409076,0.100262195,4.3092328e-7,0.00015554871],"about_ca_topic_score_codex":0.00015931758,"about_ca_topic_score_gemma":0.000010280194,"teacher_disagreement_score":0.07308166,"about_ca_system_score_codex":0.000026063764,"about_ca_system_score_gemma":0.000021050724,"threshold_uncertainty_score":0.39655995},"labels":[],"label_agreement":null},{"id":"W2004475751","doi":"10.5539/jsd.v2n2p173","title":"Willingness to Pay towards the Conservation of Ecotourism Resources at Gunung Gede Pangrango National Park, West Java, Indonesia","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ecotourism; Contingent valuation; Willingness to pay; National park; Tourism; Business; Indonesian; Socioeconomics; Geography; Household income; Recreation; Environmental resource management; Economics; Political science","score_opus":0.04618069684138299,"score_gpt":0.21363632514289727,"score_spread":0.16745562830151428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004475751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908891,0.0004702507,0.00085264933,0.0056543625,0.0001227766,0.0002475272,0.000005636782,0.0000042664474,0.0017534732],"genre_scores_gemma":[0.9952648,0.00010416503,0.001469534,0.0009200809,0.00010753578,0.000012014324,0.0000073750093,0.000010776183,0.002103719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836004,0.000024676488,0.0010601684,0.00016190443,0.00014946102,0.00024374515],"domain_scores_gemma":[0.9986583,0.000047643178,0.000935566,0.00011199616,0.00016512693,0.00008136633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020035561,0.00013096255,0.00031625872,0.00023205997,0.00020752821,0.000048972546,0.0002458776,0.000070223956,0.00015286842],"category_scores_gemma":[0.000110736946,0.00010324854,0.000085882115,0.00019581613,0.000036876754,0.0002949977,0.00006353236,0.00012658797,0.000048509788],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020294143,0.00028653393,0.9505921,0.00007779746,0.00019148209,0.000028658245,0.011976374,0.006136485,0.00018651587,0.014446409,0.010020483,0.0058542467],"study_design_scores_gemma":[0.00050252693,0.00009029782,0.9178934,0.000022282991,0.0000066695106,0.000014570275,0.0014481024,0.00010343315,0.0006131474,0.004300226,0.07486676,0.00013858954],"about_ca_topic_score_codex":0.000056851433,"about_ca_topic_score_gemma":0.000009101859,"teacher_disagreement_score":0.06484628,"about_ca_system_score_codex":0.0010117526,"about_ca_system_score_gemma":0.00014760408,"threshold_uncertainty_score":0.42103532},"labels":[],"label_agreement":null},{"id":"W2004875293","doi":"10.1590/s0101-74382007000300006","title":"A spatial price equilibrium model in the oligopolistic market for oil derivatives: an application to the brazilian scenario","year":2007,"lang":"en","type":"article","venue":"Pesquisa Operacional","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Oligopoly; Economics; Monopoly; Competition (biology); Market structure; Industrial organization; Work (physics); Microeconomics","score_opus":0.060814376927525456,"score_gpt":0.2673284596186825,"score_spread":0.20651408269115706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004875293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7551857,0.0001020868,0.2258907,0.0044833515,0.00013813486,0.0006224786,0.00020190529,0.00001398429,0.013361632],"genre_scores_gemma":[0.9933479,0.00001161437,0.0026605728,0.0026002326,0.00028093497,0.00027549363,0.00010872914,0.000019401152,0.00069515686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998777,0.000023157896,0.00046744966,0.00037687778,0.000057341585,0.00029817698],"domain_scores_gemma":[0.9993181,0.000146047,0.0001290815,0.00032422907,0.000014233624,0.00006826406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019180411,0.00013281258,0.00016228952,0.00009337896,0.00015879741,0.000067868255,0.00040071004,0.0000638974,0.00021242787],"category_scores_gemma":[0.00009029546,0.000109707085,0.00005929162,0.00012147551,0.000056197863,0.0002551639,0.000057120647,0.000111470225,0.00021077212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008023412,0.0013230526,0.15629008,0.00010447526,0.00008560019,0.0000018866496,0.02497339,0.19269167,0.0007013897,0.5727986,0.006814381,0.04341309],"study_design_scores_gemma":[0.0006564233,0.00009070724,0.3730543,0.0000073645756,0.0000058032665,0.000004552442,0.00054446724,0.5885262,0.000041323594,0.0112058,0.02558276,0.00028029495],"about_ca_topic_score_codex":0.00032072677,"about_ca_topic_score_gemma":0.0007156545,"teacher_disagreement_score":0.5615928,"about_ca_system_score_codex":0.00021788142,"about_ca_system_score_gemma":0.000025758434,"threshold_uncertainty_score":0.4473725},"labels":[],"label_agreement":null},{"id":"W2004880578","doi":"10.1007/s11002-005-5900-6","title":"Decision Strategy and Structure in Households: A “Groups” Perspective","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Perspective (graphical); Set (abstract data type); Microeconomics; Choice set; Marketing; Isolation (microbiology); Taste; Consumer behaviour; Economics; Business; Computer science; Econometrics; Psychology; Artificial intelligence","score_opus":0.033804923801423886,"score_gpt":0.2025327351619001,"score_spread":0.1687278113604762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004880578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930561,0.0007376812,0.00029592295,0.0017132419,0.000069444235,0.000098995246,0.000019989342,0.000014514177,0.0039941156],"genre_scores_gemma":[0.9969783,0.00009521628,0.0016865936,0.0010484863,0.00009124547,0.0000046870096,0.0000039147067,0.000015508838,0.00007604312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991895,0.000022337385,0.0002789327,0.00031890272,0.000020101037,0.00017021455],"domain_scores_gemma":[0.9996545,0.00008454925,0.000108420274,0.00011715236,0.0000019697304,0.000033452896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058531,0.00009923415,0.00015801066,0.0000983807,0.000047613306,0.00004755675,0.00007041497,0.000053683267,0.0003234196],"category_scores_gemma":[0.00006970477,0.00011984947,0.000028462891,0.00005980948,0.000038298,0.00020510811,0.000036813184,0.00011669969,0.00006201266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057030964,0.000030712778,0.9739748,0.00001030183,0.000017581993,0.0000034493564,0.000970471,0.0050978754,0.0005808204,0.0062675932,0.0011525435,0.0118368035],"study_design_scores_gemma":[0.00054972264,0.000011915522,0.99133474,0.000014838858,0.0000016896767,0.000004054329,0.00033159493,0.002984722,0.000016957802,0.0027314844,0.0018552227,0.00016306137],"about_ca_topic_score_codex":0.00010612303,"about_ca_topic_score_gemma":0.00009795647,"teacher_disagreement_score":0.01735992,"about_ca_system_score_codex":0.0002941874,"about_ca_system_score_gemma":0.0000023229843,"threshold_uncertainty_score":0.48873195},"labels":[],"label_agreement":null},{"id":"W2005001514","doi":"10.1089/dia.2009.0034","title":"Socioeconomic Differences in Preferences and Willingness-to-Pay for Insulin Delivery Systems in Type 1 and Type 2 Diabetes","year":2009,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Socioeconomic status; Willingness to pay; Medicine; Insulin; Confidence interval; Diabetes mellitus; Type 1 diabetes; Household income; Environmental health; Demography; Internal medicine; Endocrinology; Economics; Population","score_opus":0.05975285004225333,"score_gpt":0.22522887101391595,"score_spread":0.1654760209716626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005001514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819756,0.016304608,0.000014654269,0.0010493497,0.00018028961,0.00037190912,0.000025042049,0.000031618594,0.00004690525],"genre_scores_gemma":[0.9955228,0.0035824596,0.0002910531,0.00049035,0.000020073,0.000046418532,0.000011261893,0.000013438593,0.000022158096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988811,0.000012068764,0.00042055093,0.00037597874,0.000013111754,0.00029720252],"domain_scores_gemma":[0.99957806,0.00008538312,0.00014172445,0.0001508993,0.000012549368,0.000031404685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029829072,0.00015733144,0.00042037148,0.00032346105,0.00005006144,0.00004218531,0.0001505712,0.00024329203,0.000009530273],"category_scores_gemma":[0.000020072872,0.0001598599,0.000016772306,0.00017817046,0.00010023449,0.00012726277,0.00004097608,0.00014081896,0.000031305357],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000777205,0.000039580882,0.98100626,0.000016124199,0.000026105954,8.030207e-8,0.00016728269,0.000040428175,0.00025946953,0.004085959,0.0000047690155,0.014346192],"study_design_scores_gemma":[0.0004944003,0.00042230941,0.94538003,0.000030530002,0.000009764744,1.5567228e-7,0.00018805299,0.006828147,0.00022136304,0.045351163,0.00083722285,0.00023683108],"about_ca_topic_score_codex":0.00001438816,"about_ca_topic_score_gemma":0.000023719986,"teacher_disagreement_score":0.041265205,"about_ca_system_score_codex":0.00008531557,"about_ca_system_score_gemma":0.000010805454,"threshold_uncertainty_score":0.65188974},"labels":[],"label_agreement":null},{"id":"W2005260305","doi":"10.1139/x02-001","title":"The marginal cost of structural diversity of mixed uneven-aged hard maple forests","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta","keywords":"Maple; Diversity index; Mathematics; Statistics; Econometrics; Diversity (politics); Elasticity (physics); Ecology; Biology; Physics; Species richness; Thermodynamics","score_opus":0.21258107255444192,"score_gpt":0.2611807548941079,"score_spread":0.048599682339665995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005260305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565053,0.0015014127,0.00004921415,0.00056945015,0.00021859736,0.00013335045,0.000114095885,6.011681e-7,0.0017627301],"genre_scores_gemma":[0.9988541,0.00014756495,0.00009075125,0.000007705892,0.00005569099,0.0000014425472,0.00000358514,0.000008078525,0.0008310788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888307,0.000055611108,0.00051667,0.000108528875,0.00010377526,0.00033237322],"domain_scores_gemma":[0.99895895,0.00013370918,0.00037167687,0.00019715424,0.00007931985,0.00025918527],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017148327,0.00006931912,0.00023040338,0.0003184176,0.0003976301,0.000033851476,0.0004694291,0.0000589192,0.0009422841],"category_scores_gemma":[0.00021994307,0.00006332871,0.000113861424,0.00016060668,0.00040960382,0.00018370339,0.00006530507,0.00027834237,0.000056731315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001637941,0.000007283152,0.98530704,0.000010877319,0.00003845895,0.000006962588,0.0003132687,0.0003970025,0.0000054984885,0.009217705,0.0038341598,0.0008453946],"study_design_scores_gemma":[0.00046798962,0.00013974372,0.9848698,0.00001541811,0.000003648371,0.00001169629,0.000182304,0.00056622626,0.00005663361,0.0108987875,0.0027299083,0.000057859925],"about_ca_topic_score_codex":0.007995154,"about_ca_topic_score_gemma":0.07800382,"teacher_disagreement_score":0.070008665,"about_ca_system_score_codex":0.00035329346,"about_ca_system_score_gemma":0.00008733255,"threshold_uncertainty_score":0.999971},"labels":[],"label_agreement":null},{"id":"W2005760821","doi":"10.1093/jeg/lbl027","title":"Urban interactions and spatial structure","year":2007,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"Connaught Fund","keywords":"Economic geography; Geography","score_opus":0.028656657742231768,"score_gpt":0.21104133992531016,"score_spread":0.18238468218307838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005760821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905095,0.00076519744,0.0030352895,0.0001957624,0.0010644222,0.00005701483,0.0000391624,0.000004412976,0.0043292567],"genre_scores_gemma":[0.9984907,0.00014256117,0.000750041,0.00012746309,0.0003998737,4.5358527e-7,0.00000418595,0.000011525521,0.00007321756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890214,0.0000056692015,0.0007721867,0.00014945265,0.000014417075,0.00015612079],"domain_scores_gemma":[0.9989893,0.000043059295,0.0007462107,0.000109610046,0.000007931741,0.00010390087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000547156,0.000101294194,0.0002664472,0.00041158687,0.0000612521,0.000042004605,0.0001049781,0.00005666351,0.00085629197],"category_scores_gemma":[0.000012372915,0.00011439813,0.00014894143,0.00003436539,0.00006199442,0.00035136077,0.000026904878,0.00016308235,0.00007476578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020020412,0.000020614352,0.9897781,0.0000035485878,0.000084106054,0.0000016725709,0.00013143812,0.00009295014,0.000044129018,0.006995029,0.0009037315,0.0019246514],"study_design_scores_gemma":[0.0005673105,0.000093429415,0.96277946,0.0000060704874,0.000012258316,0.00006058997,0.00011448455,0.0002096521,0.000111791145,0.012367343,0.023543956,0.00013366767],"about_ca_topic_score_codex":0.00017748807,"about_ca_topic_score_gemma":0.00013494694,"teacher_disagreement_score":0.026998661,"about_ca_system_score_codex":0.00010277223,"about_ca_system_score_gemma":0.000007407543,"threshold_uncertainty_score":0.9375797},"labels":[],"label_agreement":null},{"id":"W2006170411","doi":"10.1079/pavsnnr20127060","title":"Costs of land degradation and benefits of land restoration: a review of valuation methods and suggested frameworks for inclusion into policy-making.","year":2012,"lang":"en","type":"review","venue":"CABI Reviews","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Valuation (finance); Arable land; Total economic value; Land degradation; Ecosystem services; Natural resource economics; Business; Land use; Environmental resource management; Incentive; Provisioning; Land management; Sustainable land management; Environmental economics; Environmental planning; Economics; Agriculture; Geography; Finance; Computer science; Ecosystem","score_opus":0.23846705212401575,"score_gpt":0.39577898549856255,"score_spread":0.1573119333745468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006170411","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023854712,0.9921935,0.0048652077,0.00007218883,0.000110401976,0.0021903592,0.00016892764,0.0000035113344,0.00015730891],"genre_scores_gemma":[0.00019449969,0.9823081,0.01662575,0.00007566043,0.000096037584,0.00019692704,0.00044001508,0.000028934706,0.000034080625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971022,0.00025882863,0.00212125,0.00033879597,0.000049393984,0.00012953885],"domain_scores_gemma":[0.99571973,0.00034963057,0.0034506377,0.00037343323,0.000052695246,0.000053854626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047306563,0.00025890928,0.0023929568,0.00025684212,0.000070875,0.000009164845,0.00013416001,0.00038911813,0.000036313602],"category_scores_gemma":[0.0010660281,0.00024079131,0.00024607885,0.000238633,0.00007983371,0.00019733826,0.00019736192,0.00016088232,0.0000047397502],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028822835,0.00002869113,0.0017265269,0.073029675,0.000036814425,8.219127e-9,0.00012293372,0.000001989457,4.725308e-7,0.0057455534,0.00003863909,0.9192658],"study_design_scores_gemma":[0.00033568934,0.0001321188,0.0022689204,0.07143361,0.0006773642,0.000005051615,0.000003850533,0.00015088469,0.0000039910137,0.0033734336,0.92127925,0.00033582817],"about_ca_topic_score_codex":0.000083004554,"about_ca_topic_score_gemma":0.0000185046,"teacher_disagreement_score":0.9212406,"about_ca_system_score_codex":0.00020080649,"about_ca_system_score_gemma":0.000044123346,"threshold_uncertainty_score":0.9819185},"labels":[],"label_agreement":null},{"id":"W2006176202","doi":"10.1016/j.jenvman.2013.05.043","title":"Using choice experiments to understand household tradeoffs regarding pineapple production and environmental management in Costa Rica","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Science Foundation","keywords":"Production (economics); Context (archaeology); Welfare; Order (exchange); Environmental economics; Business; Environmental resource management; Economics; Natural resource economics; Geography","score_opus":0.12351554553723582,"score_gpt":0.22835871416139294,"score_spread":0.10484316862415713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006176202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939079,0.0011212785,0.0014648963,0.00033307946,0.00026717727,0.00090137735,0.000025856634,0.000006922312,0.0019714956],"genre_scores_gemma":[0.99198025,0.0016159321,0.005262527,0.00024119914,0.000078981495,0.000026944374,0.00000897514,0.000039474296,0.00074570597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815667,0.000026089881,0.0008981444,0.00045576878,0.00013893608,0.00032438664],"domain_scores_gemma":[0.9991068,0.0000112211565,0.0004737891,0.00025154187,8.2868877e-7,0.00015578257],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004208743,0.00023872656,0.0003551216,0.00042019447,0.00010704487,0.00007742248,0.00019201047,0.00005721794,0.00044185246],"category_scores_gemma":[0.000004368811,0.00027771087,0.00008717255,0.000092923874,0.00007322164,0.0006922502,0.00022524278,0.00014266864,0.00011762125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018091315,0.0026294172,0.92589414,0.0001832711,0.0011087079,0.00008852242,0.0032654796,0.028571634,0.011898634,0.003141138,0.0053654886,0.017672637],"study_design_scores_gemma":[0.002351007,0.00024043328,0.97748154,0.00008618388,0.00006243577,0.00003704771,0.008963985,0.0012028398,0.0005889694,0.0017407074,0.0066977115,0.00054716173],"about_ca_topic_score_codex":0.000037899004,"about_ca_topic_score_gemma":0.0000024583653,"teacher_disagreement_score":0.051587358,"about_ca_system_score_codex":0.0013680157,"about_ca_system_score_gemma":0.0000013435055,"threshold_uncertainty_score":0.9999675},"labels":[],"label_agreement":null},{"id":"W2006324090","doi":"10.1111/j.1744-7976.2009.01148.x","title":"Does Choice Context Affect the Results from Incentive‐Compatible Experiments? The Case of Non‐GM and Country‐of‐Origin Premia in Canola Oil","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"BC Research (Canada); University of Alberta","funders":"Alberta Crop Industry Development Fund","keywords":"Context (archaeology); Canola; Economic rent; Economics; Humanities; Welfare economics; Agricultural science; Mathematics; Microeconomics; Philosophy; Chemistry; Geography; Biology","score_opus":0.042678338582811406,"score_gpt":0.19174833458295332,"score_spread":0.14906999600014192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006324090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927568,0.0013783302,0.0000019601086,0.002275295,0.00079065835,0.00024618275,0.001169587,0.0000019877384,0.0013792171],"genre_scores_gemma":[0.99872804,0.0003718642,0.000056302073,0.00029021467,0.00025310478,0.000008673942,0.00004629204,0.000013947406,0.00023156255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974366,0.000049133236,0.001657653,0.00038595538,0.000008695927,0.00046199668],"domain_scores_gemma":[0.9971057,0.00032170885,0.0017853968,0.00034202318,0.00004351624,0.0004016545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007866218,0.00027891717,0.00078585977,0.00021625496,0.0001796476,0.00009600347,0.0004997139,0.00013369924,0.00013219065],"category_scores_gemma":[0.00011890955,0.0001798945,0.0001685211,0.00012145519,0.00024393403,0.00056791696,0.000027824886,0.00029724374,0.000010942846],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048763092,0.00022792802,0.81532186,0.00012765832,0.0011843187,0.00027225335,0.041127704,0.020636424,0.0007246976,0.08561119,0.0042610005,0.03001734],"study_design_scores_gemma":[0.0024414915,0.00029314688,0.97896004,0.00012725846,0.000048300168,0.00018666554,0.0074627674,0.00090374675,0.0004821553,0.0028861996,0.005777797,0.0004304054],"about_ca_topic_score_codex":0.36431143,"about_ca_topic_score_gemma":0.85148406,"teacher_disagreement_score":0.48717263,"about_ca_system_score_codex":0.0014348694,"about_ca_system_score_gemma":0.00019574675,"threshold_uncertainty_score":0.73358846},"labels":[],"label_agreement":null},{"id":"W2006763140","doi":"10.1016/j.jocm.2014.01.003","title":"A GEV model with scale heterogeneity for investigating the role of mobility tool ownership in peak period non-work travel mode choices","year":2014,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mode choice; TRIPS architecture; Work (physics); Mode (computer interface); Econometrics; Scale (ratio); Car ownership; Preference; Context (archaeology); Economics; Demographic economics; Public transport; Transport engineering; Microeconomics; Computer science; Geography; Engineering","score_opus":0.08059461768342124,"score_gpt":0.23521080693039223,"score_spread":0.154616189246971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006763140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7221731,0.00024185839,0.27697435,0.00010327433,0.000030605286,0.00016448247,0.000012059294,0.0000017992354,0.0002984568],"genre_scores_gemma":[0.98503023,0.000032705913,0.014675823,0.000074068426,0.00011559221,0.000019189436,0.000002416745,0.000021228072,0.000028732435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985263,0.000025991782,0.00094872323,0.00022019955,0.00006732839,0.00021147534],"domain_scores_gemma":[0.9985523,0.00014630664,0.0009899529,0.00021615818,0.000034198503,0.00006107807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016831392,0.00014200798,0.00044313827,0.00010234106,0.00009112959,0.00004096851,0.00025268964,0.00008080629,0.0000057542306],"category_scores_gemma":[0.000059765516,0.00011403785,0.00015473805,0.000087671586,0.00008250632,0.0003852157,0.00002378316,0.00021837956,0.0000021153662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035856243,0.000057175857,0.19683409,0.000027507245,0.000020096533,3.0190296e-8,0.0010150417,0.8010162,0.00019105079,0.00049075607,0.0000012707047,0.0003109234],"study_design_scores_gemma":[0.0007651188,0.00009517815,0.029005662,0.00006459647,0.000016668006,0.0000020442076,0.00022149789,0.9532898,0.00091923104,0.015439188,0.00004616478,0.00013484659],"about_ca_topic_score_codex":0.000116550684,"about_ca_topic_score_gemma":0.000079775375,"teacher_disagreement_score":0.26285714,"about_ca_system_score_codex":0.00013001433,"about_ca_system_score_gemma":0.000029945926,"threshold_uncertainty_score":0.46503285},"labels":[],"label_agreement":null},{"id":"W2007007088","doi":"10.1111/j.1744-7976.2006.00049.x","title":"Evaluating Willingness‐to‐Pay for Bison Attributes: An Experimental Auction Approach","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Mount Allison University; Lakes Environmental (Canada); University of Saskatchewan","funders":"","keywords":"Bison bison; Willingness to pay; Agricultural science; Geography; Business; Marketing; Economics; Biology; Ecology","score_opus":0.14535540333577585,"score_gpt":0.21942337324708222,"score_spread":0.07406796991130637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007007088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926505,0.0004982663,0.0011411397,0.001460035,0.0018794633,0.00068692485,0.0008257401,0.000014242915,0.0008436652],"genre_scores_gemma":[0.9910194,0.000013103789,0.005343265,0.00027732737,0.0017547096,0.0000902446,0.00046921315,0.00005684068,0.00097585155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.996628,0.000029378774,0.0017518271,0.00069659745,0.00001153789,0.00088267087],"domain_scores_gemma":[0.997183,0.000051895186,0.0012747445,0.00031029628,0.00009664076,0.0010833849],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011505082,0.00039428388,0.00083376135,0.00042337962,0.00041121984,0.0002759118,0.00053621025,0.00020942464,0.00030418203],"category_scores_gemma":[0.00007522203,0.00039497772,0.00036611472,0.00013557222,0.00007703621,0.001281328,0.00002342707,0.00022594248,0.000112032176],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020515187,0.00036149242,0.14280285,0.00012776368,0.00044784133,0.00001154706,0.0039025086,0.62006235,0.0014493988,0.21365348,0.014564491,0.002411143],"study_design_scores_gemma":[0.0062826234,0.004714825,0.84163857,0.000121620564,0.00016994115,0.00074137334,0.0076021627,0.024533741,0.0023824638,0.038313087,0.06999721,0.0035023727],"about_ca_topic_score_codex":0.02346885,"about_ca_topic_score_gemma":0.12581882,"teacher_disagreement_score":0.69883573,"about_ca_system_score_codex":0.0039568827,"about_ca_system_score_gemma":0.00023362054,"threshold_uncertainty_score":0.9998667},"labels":[],"label_agreement":null},{"id":"W2007044176","doi":"10.1007/s00267-010-9507-1","title":"Sustainable Forest Management Preferences of Interest Groups in Three Regions with Different Levels of Industrial Forestry: An Exploratory Attribute-Based Choice Experiment","year":2010,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université du Québec à Montréal","funders":"","keywords":"Forest management; Preference; Sample (material); Novelty; Viewpoints; Exploratory research; Sustainable forest management; Sustainable management; Environmental resource management; Sustainability; Geography; Forestry; Psychology; Social psychology; Ecology; Economics; Statistics; Mathematics; Sociology","score_opus":0.14548027838436944,"score_gpt":0.225181731739604,"score_spread":0.07970145335523457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007044176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953957,0.00008246587,0.0018413089,0.00007786867,0.00014844481,0.001106828,0.00009768833,0.000014620512,0.0012350483],"genre_scores_gemma":[0.9985551,0.00005295349,0.00063899514,0.000025863026,0.000036438156,0.00032649256,0.00011001544,0.00003474424,0.00021936154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998122,0.000029488525,0.00078974356,0.00057345885,0.00010565995,0.00037966235],"domain_scores_gemma":[0.99873286,0.000029858702,0.0005049295,0.00062518596,0.0000027848748,0.00010435897],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039492422,0.00028700038,0.00043738275,0.00032090815,0.00006977899,0.000028060884,0.00040563123,0.000112292015,0.00055633765],"category_scores_gemma":[0.000004349732,0.00029397648,0.00008410971,0.0001173201,0.00024114606,0.00039438176,0.00028817874,0.0002050068,0.000023864071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008137687,0.0011955547,0.9177316,0.00009424589,0.00011638014,0.0000093321805,0.00027547346,0.0017162781,0.00011387157,0.07771793,0.000028854996,0.00091909437],"study_design_scores_gemma":[0.0031180761,0.00054501806,0.9816784,0.00006303864,0.000033746288,4.89616e-7,0.004293066,0.00062566594,0.0015136597,0.0072946693,0.0004772582,0.0003569082],"about_ca_topic_score_codex":0.00015889519,"about_ca_topic_score_gemma":0.0008452441,"teacher_disagreement_score":0.07042326,"about_ca_system_score_codex":0.00033479743,"about_ca_system_score_gemma":0.0000057115994,"threshold_uncertainty_score":0.99995124},"labels":[],"label_agreement":null},{"id":"W2007338599","doi":"10.5539/sar.v4n2p92","title":"Consumers’ Willingness to Pay for Cassava Flour Inclusion in Bread, a Case Study of Lagos State, Nigeria","year":2015,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Inclusion (mineral); Respondent; Contingent valuation; Agricultural science; Socioeconomics; Economics; Biology; Psychology","score_opus":0.1751907651426603,"score_gpt":0.3335254546188124,"score_spread":0.1583346894761521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007338599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954445,0.0003443036,0.000252388,0.0003983948,0.00008621563,0.0024871822,0.000055072953,0.000010866304,0.000921107],"genre_scores_gemma":[0.99419,0.000027930117,0.00014650954,0.000024441093,0.000054300697,0.00038345542,0.000024673662,0.000019941044,0.005128783],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9980385,0.000116922674,0.0006041554,0.00048131496,0.00013837223,0.00062075886],"domain_scores_gemma":[0.9989524,0.00014133326,0.00014730745,0.00027621354,0.00027347522,0.00020925885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044155996,0.0001494118,0.00039738778,0.00033833538,0.00029264938,0.00006418539,0.0002595189,0.000110570625,0.000030073448],"category_scores_gemma":[0.00038710667,0.00012119615,0.000047606078,0.00069239974,0.000041212228,0.0002737519,0.0008506033,0.00023811877,0.00005598043],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024451624,0.0015577403,0.9174802,0.0002499512,0.00007191086,0.00074122683,0.063330024,0.0059756064,0.00014342938,0.0017201982,0.0073439,0.0011413535],"study_design_scores_gemma":[0.0086943805,0.0030869464,0.15781887,0.000050982733,0.000010992622,0.0001581271,0.7634151,0.00081058487,0.00060118845,0.03227733,0.03221302,0.0008624925],"about_ca_topic_score_codex":0.020852188,"about_ca_topic_score_gemma":0.003971571,"teacher_disagreement_score":0.75966126,"about_ca_system_score_codex":0.0010163104,"about_ca_system_score_gemma":0.00009196818,"threshold_uncertainty_score":0.98566806},"labels":[],"label_agreement":null},{"id":"W2008028696","doi":"10.1007/s10640-006-9011-5","title":"Induced-Value Tests of Contingent Valuation Elicitation Mechanisms","year":2006,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Georgia State University","keywords":"Contingent valuation; Economics; Payment card; Econometrics; Valuation (finance); Payment; Voting; Value (mathematics); Actuarial science; Discrete choice; Microeconomics; Willingness to pay; Statistics; Mathematics","score_opus":0.03599622728351555,"score_gpt":0.17821965892063907,"score_spread":0.14222343163712353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008028696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910929,0.0005304636,0.00095081044,0.00016137824,0.00011034713,0.00023608906,0.000084066814,0.000014496486,0.006819453],"genre_scores_gemma":[0.99772424,0.0001799749,0.0012066117,0.00013522738,0.0000811314,0.000018772456,0.00013296017,0.000027315387,0.0004937471],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986954,0.00001936769,0.0006874791,0.0003787202,0.000031996133,0.00018703738],"domain_scores_gemma":[0.9992268,0.000037934173,0.0004931964,0.00018651667,0.0000014211159,0.000054102504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004698766,0.00016470927,0.000289485,0.00011109103,0.000107037406,0.00002622381,0.00009333495,0.0001267516,0.00022724552],"category_scores_gemma":[0.000007981059,0.00020320046,0.00007992256,0.000025192807,0.00009564947,0.00018956469,0.00007148688,0.00008709769,0.00024043747],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040334,0.00045632082,0.44203475,0.000037593134,0.000098964585,9.517697e-7,0.0008388786,0.008248813,0.025492607,0.51417845,0.00018807412,0.008384251],"study_design_scores_gemma":[0.00095277076,0.00014374092,0.8740303,0.0000082519955,0.000016888313,0.000005751857,0.00037998267,0.0060017197,0.004551678,0.109036885,0.004544095,0.00032792575],"about_ca_topic_score_codex":0.0001771911,"about_ca_topic_score_gemma":0.000012219678,"teacher_disagreement_score":0.43199557,"about_ca_system_score_codex":0.00019179255,"about_ca_system_score_gemma":0.0000040860905,"threshold_uncertainty_score":0.8286274},"labels":[],"label_agreement":null},{"id":"W2008081074","doi":"10.1002/agr.20195","title":"Marketing preferences of small‐scale farmers in the context of new agrifood systems: a stated choice model","year":2009,"lang":"en","type":"article","venue":"Agribusiness","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"International Development Research Centre","keywords":"Business; Marketing; Cash; Context (archaeology); Cash crop; Supply chain; Scale (ratio); Economics; Payment; Grading (engineering); Industrial organization; Microeconomics; Production (economics); Finance","score_opus":0.09874383215095872,"score_gpt":0.21633309792552718,"score_spread":0.11758926577456846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008081074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937235,0.00077781396,0.0014587317,0.00029243642,0.00006901696,0.00024051902,0.00007273556,0.000005682494,0.0033595515],"genre_scores_gemma":[0.9993446,0.00016440652,0.00019038602,0.00007879735,0.000023192795,0.000007348749,0.00002957065,0.0000055332157,0.00015619722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898666,0.000029818011,0.0006141837,0.00019103698,0.000032510692,0.00014577468],"domain_scores_gemma":[0.99926805,0.000086443055,0.00043318424,0.00017384761,0.000015759333,0.000022738359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073504605,0.00009936,0.00030567072,0.000083007566,0.000024368934,0.000017713232,0.0002099219,0.00006128879,0.00003120181],"category_scores_gemma":[0.000059410104,0.000085925414,0.000044652836,0.00018206864,0.000034284516,0.0001394173,0.00001768546,0.000067188455,0.000015088681],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117019874,0.0004301222,0.891646,0.00020440792,0.00006358266,5.97728e-7,0.0048590424,0.07688119,0.00061678066,0.010171105,0.00075413875,0.014256008],"study_design_scores_gemma":[0.00068082457,0.000046719542,0.96640545,0.00006502547,0.000008410578,8.919691e-7,0.0019596263,0.028668776,0.00009289732,0.0017089089,0.00022555143,0.00013694393],"about_ca_topic_score_codex":0.0017458065,"about_ca_topic_score_gemma":0.00016554419,"teacher_disagreement_score":0.074759424,"about_ca_system_score_codex":0.000047601,"about_ca_system_score_gemma":0.000019456274,"threshold_uncertainty_score":0.35039368},"labels":[],"label_agreement":null},{"id":"W2008491847","doi":"10.1139/x05-041","title":"Provisional breeding zone determination modeled as a maximal covering location problem","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Point (geometry); Grid; Pinus <genus>; Set (abstract data type); Computer science; Mathematics; Geography; Biology; Geodesy; Geometry; Botany","score_opus":0.13420669050096254,"score_gpt":0.27948476050492027,"score_spread":0.14527807000395773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008491847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985988,0.000646489,0.0053647,0.0012156834,0.00009679368,0.00018398555,0.000013390072,0.0000024725894,0.006488473],"genre_scores_gemma":[0.99582887,0.000052027048,0.0026825978,0.00003944919,0.00025944316,0.000009540204,0.000008847422,0.000015888943,0.0011033602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988699,0.000022987464,0.00051197177,0.00016049459,0.000098450946,0.00033622776],"domain_scores_gemma":[0.9991985,0.00004084302,0.00022887027,0.000104720035,0.00011491879,0.00031212202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019450219,0.000075323645,0.00016303964,0.00063924014,0.00020596452,0.00011926246,0.00021297482,0.0000741403,0.0005041426],"category_scores_gemma":[0.00014307606,0.00008852203,0.000055931865,0.00018292753,0.000084338055,0.00071019714,0.000019612842,0.00027601988,0.00048202547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047154288,0.00006620922,0.8258906,0.000048274105,0.000042435266,0.000020374844,0.0013210865,0.034682546,0.00015629156,0.095819905,0.0012510977,0.040654037],"study_design_scores_gemma":[0.0015922245,0.0009099766,0.78816354,0.00018105576,0.000008834298,0.00014026219,0.00043177238,0.1192483,0.00031912242,0.055823855,0.032770354,0.0004107196],"about_ca_topic_score_codex":0.0037261602,"about_ca_topic_score_gemma":0.010757767,"teacher_disagreement_score":0.08456575,"about_ca_system_score_codex":0.0011721869,"about_ca_system_score_gemma":0.00039933957,"threshold_uncertainty_score":0.6195623},"labels":[],"label_agreement":null},{"id":"W2008793648","doi":"10.1111/j.1744-7976.2010.01188.x","title":"Ranking of Research Output of Agricultural Economics Departments in Canada and Selected U.S. Universities","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; University of Alberta","funders":"University of Alberta","keywords":"Political science; Ranking (information retrieval); Library science; Humanities; Art; Computer science","score_opus":0.053038715215110374,"score_gpt":0.17582501066249118,"score_spread":0.1227862954473808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008793648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955149,0.00039968334,0.0000010618871,0.00060234877,0.0010422277,0.00026460065,0.000517108,0.0000023197063,0.0016557144],"genre_scores_gemma":[0.9989336,0.0002597933,0.00019698213,0.0000443612,0.0001737321,0.000005683595,0.00005801313,0.00002222193,0.00030558117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99702054,0.00004279279,0.0017390231,0.00042454642,0.000015488813,0.0007576155],"domain_scores_gemma":[0.9972443,0.00018080926,0.0013949663,0.0002490334,0.00016819556,0.0007627185],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009825955,0.00028917787,0.0009891244,0.00072821905,0.00014873635,0.000061911705,0.00054623594,0.00018625469,0.00026700518],"category_scores_gemma":[0.000094840885,0.00030724006,0.0001530394,0.00023735387,0.0002822364,0.00074674876,0.000055906406,0.0005637814,0.000011191336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004325847,0.000032373548,0.9381176,0.00009014071,0.00028445123,0.000015270096,0.0022335781,0.008888776,0.0002041382,0.049089987,0.00053907995,0.0004613249],"study_design_scores_gemma":[0.0010652854,0.00015432975,0.9887037,0.000045160537,0.000019406942,0.00013253387,0.0056225252,0.00014801288,0.00035685164,0.002135874,0.0012503576,0.00036590503],"about_ca_topic_score_codex":0.91773796,"about_ca_topic_score_gemma":0.99882585,"teacher_disagreement_score":0.0810879,"about_ca_system_score_codex":0.0047590993,"about_ca_system_score_gemma":0.0020508526,"threshold_uncertainty_score":0.99993795},"labels":[],"label_agreement":null},{"id":"W2009664973","doi":"10.7202/601419ar","title":"L’épargne de précaution et les changements de risque","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.15003933786383183,"score_gpt":0.25816793717823344,"score_spread":0.10812859931440161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009664973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91972846,0.00598577,0.016945591,0.028072258,0.00075564056,0.00046567395,0.0002863279,0.0000607585,0.027699513],"genre_scores_gemma":[0.95706,0.0067392886,0.0050955205,0.0076734736,0.00046290012,0.0000673598,0.00014118858,0.00004648071,0.022713836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976304,0.00016733252,0.00084977585,0.000610256,0.000020225732,0.000722017],"domain_scores_gemma":[0.9987279,0.00011012217,0.00054084905,0.00040885102,0.000010998949,0.00020127898],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020136146,0.0003316418,0.00050810154,0.00018337736,0.00016855026,0.00015088722,0.00027488463,0.0005617366,0.0026070848],"category_scores_gemma":[0.00012443411,0.00049799576,0.00021571938,0.000092128605,0.00010700364,0.00069900346,0.000067253655,0.00039817663,0.0013449854],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046806617,0.0005694638,0.15039617,0.000079501195,0.00015490969,0.000007392571,0.0037893883,0.0043265647,0.00019256605,0.7945217,0.0053802095,0.040535342],"study_design_scores_gemma":[0.0012726161,0.00033991883,0.6593037,0.000107144595,0.00004481913,0.00002809099,0.00029750654,0.017043304,0.0011095348,0.12790853,0.19179767,0.00074710994],"about_ca_topic_score_codex":0.0014264457,"about_ca_topic_score_gemma":0.00018061059,"teacher_disagreement_score":0.66661316,"about_ca_system_score_codex":0.0018271947,"about_ca_system_score_gemma":0.00006594642,"threshold_uncertainty_score":0.99974716},"labels":[],"label_agreement":null},{"id":"W2009748486","doi":"10.1071/ea04156","title":"Lessons from agri-environmental policies in other countries for dealing with salinity in Australia","year":2005,"lang":"en","type":"article","venue":"Australian Journal of Experimental Agriculture","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental management system; Incentive; Environmental policy; Agriculture; Salinity; Business; Environmental planning; Agricultural policy; Environmental resource management; Natural resource economics; Public economics; Environmental economics; Irrigation; Economics; Environmental science; Geography; Ecology","score_opus":0.09691928165309724,"score_gpt":0.2757912820318295,"score_spread":0.17887200037873227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009748486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99665844,0.0011468072,0.000027925393,0.0013820725,0.000106489155,0.00020241448,0.00027055762,0.0000036651531,0.0002016335],"genre_scores_gemma":[0.99695885,0.00010244682,0.0019175007,0.00017484411,0.00023424087,0.00001470377,0.00003089407,0.000015551535,0.0005509529],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987085,0.000014319301,0.00074965577,0.00021981756,0.000055254517,0.00025243947],"domain_scores_gemma":[0.9993021,0.000026693404,0.0004916728,0.00009155261,0.000004677801,0.000083327395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023280614,0.0001898003,0.0003734574,0.000093183255,0.00004679647,0.00004812895,0.00016760684,0.000119956894,0.0008861496],"category_scores_gemma":[0.0000046324253,0.00015873642,0.000105458486,0.000048576818,0.000075497686,0.00049427163,0.000018724053,0.00019161118,0.000075298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021088733,0.0006336559,0.96109366,0.000008472265,0.00011417399,0.000011611504,0.0054298253,0.004324074,0.018246317,0.008242602,0.001565207,0.00011948728],"study_design_scores_gemma":[0.0030268836,0.00031530453,0.93901616,0.000086102526,0.0000132368,0.000028945758,0.0049708583,0.000026237363,0.037058778,0.0009436009,0.014127243,0.000386663],"about_ca_topic_score_codex":0.0009053994,"about_ca_topic_score_gemma":0.00045900888,"teacher_disagreement_score":0.02207754,"about_ca_system_score_codex":0.0004756856,"about_ca_system_score_gemma":0.0000060915286,"threshold_uncertainty_score":0.9702717},"labels":[],"label_agreement":null},{"id":"W2010049383","doi":"10.1016/j.jenvman.2012.11.039","title":"Cost-benefit analysis of riparian protection in an eastern Canadian watershed","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; University of New Brunswick; Simon Fraser University","funders":"","keywords":"Riparian zone; Watershed; Riparian buffer; Opportunity cost; Time horizon; Cost–benefit analysis; Population; Valuation (finance); Agriculture; Contingent valuation; Environmental science; Buffer strip; Present value; Willingness to pay; Natural resource economics; Business; Economics; Geography; Ecology","score_opus":0.06735643455266592,"score_gpt":0.19683241085141748,"score_spread":0.12947597629875157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010049383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996436,0.00009538778,0.0005854674,0.00019206638,0.00010178051,0.0003932356,0.000027710574,0.0000015585541,0.0021668156],"genre_scores_gemma":[0.9987885,0.00011027605,0.00045002086,0.000099917546,0.000020261987,0.000026190357,0.00002144528,0.000011359091,0.00047204513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875486,0.000015968393,0.00080246635,0.00018137791,0.00005608796,0.00018922942],"domain_scores_gemma":[0.99915344,0.0000037213229,0.00052070944,0.00018560111,0.0000026472678,0.00013389069],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039188316,0.000107830085,0.00033130194,0.0009195982,0.000031192903,0.000031926884,0.00017022161,0.000051169056,0.002479591],"category_scores_gemma":[0.0000018879775,0.00011914316,0.00012878866,0.00015057721,0.000034255594,0.0005358166,0.000035886394,0.00008704797,0.00025812094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013983276,0.0002372633,0.9724364,0.000010836637,0.00047220133,0.0000054242855,0.00045442238,0.015446642,0.00014987212,0.00089549983,0.000023963006,0.009853434],"study_design_scores_gemma":[0.0005570186,0.000120996025,0.9864131,0.0000071147683,0.00008049177,0.0000012533015,0.0006763891,0.010076329,0.00004091172,0.0012315665,0.0006773964,0.0001174214],"about_ca_topic_score_codex":0.011179848,"about_ca_topic_score_gemma":0.005457081,"teacher_disagreement_score":0.013976654,"about_ca_system_score_codex":0.0007224711,"about_ca_system_score_gemma":0.0000026875668,"threshold_uncertainty_score":0.9984323},"labels":[],"label_agreement":null},{"id":"W2011265945","doi":"10.1111/j.1752-1688.2007.00083.x","title":"Measuring the Net Economic Value of Recreational Boating as Water Levels Fluctuate<sup>1</sup>","year":2007,"lang":"en","type":"article","venue":"JAWRA Journal of the American Water Resources Association","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Geological Survey","keywords":"Recreation; Total economic value; Environmental science; Economic impact analysis; Agricultural economics; Hydrology (agriculture); Value (mathematics); Geography; Socioeconomics; Fishery; Economics; Engineering; Mathematics; Ecology; Statistics; Ecosystem services; Ecosystem; Civil engineering","score_opus":0.04140300311995889,"score_gpt":0.21423112387045534,"score_spread":0.17282812075049644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011265945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951034,0.00010256954,0.00034339176,0.0022052182,0.00019609752,0.00012787688,0.000026918622,0.0000051350908,0.0018893749],"genre_scores_gemma":[0.99823165,0.000044428205,0.00022155383,0.00037159392,0.00033518983,0.0000024001863,0.000006660805,0.000018939678,0.0007675656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980742,0.00011314629,0.0011727612,0.00017280482,0.00014630379,0.00032083032],"domain_scores_gemma":[0.9973869,0.0001826814,0.0021279047,0.000209328,0.000039869105,0.0000533229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046648965,0.0001436207,0.00041227488,0.00015492536,0.00022238828,0.00007123165,0.00040219852,0.000059096157,0.00032280124],"category_scores_gemma":[0.00014707969,0.00008555921,0.00027382976,0.00007295299,0.000103004335,0.0002801019,0.00010514072,0.00024263738,0.00022370464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010899774,0.00006092727,0.86969364,0.000009455234,0.0004846462,9.3308415e-7,0.016124027,0.10705991,0.0028813698,0.00068830914,0.00044705434,0.0024407036],"study_design_scores_gemma":[0.0010442,0.00022879233,0.9363778,0.0000475689,0.00008633538,0.0000309589,0.0025858989,0.0049242363,0.028929748,0.01008702,0.015320636,0.0003367904],"about_ca_topic_score_codex":0.0005009239,"about_ca_topic_score_gemma":0.00000933029,"teacher_disagreement_score":0.10213567,"about_ca_system_score_codex":0.0010330938,"about_ca_system_score_gemma":0.000013345157,"threshold_uncertainty_score":0.35344473},"labels":[],"label_agreement":null},{"id":"W2011904548","doi":"10.1111/j.1744-7976.2007.00085.x","title":"An Examination of the Disparity Between Hypothetical and Actual Willingness to Pay Using the Contingent Valuation Method: The Case of Red Kite Conservation in the United Kingdom","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Valuation (finance); Welfare economics; Economics; Value (mathematics); Payment; Geography; Econometrics; Mathematics; Statistics; Microeconomics","score_opus":0.15962656899279873,"score_gpt":0.2397568171069027,"score_spread":0.08013024811410396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011904548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932128,0.00005517249,0.0009274466,0.0047613,0.00033572552,0.0005062915,0.0001278716,0.000001268827,0.00007211814],"genre_scores_gemma":[0.99895984,0.000012435269,0.00037659376,0.00040886915,0.00019199215,0.0000059000863,0.0000208225,0.000012371926,0.000011203069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785244,0.00020562601,0.0013413881,0.00024430608,0.000014592739,0.00034165496],"domain_scores_gemma":[0.99741006,0.00057951314,0.001371087,0.00030728584,0.000085500404,0.00024653797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055335746,0.00018051897,0.0004273746,0.00022636705,0.0002975357,0.000089863766,0.0004941048,0.00011322273,0.000025993731],"category_scores_gemma":[0.00026895793,0.0001016994,0.00012731795,0.00025506853,0.00021951908,0.00036452516,0.000028199454,0.00027737973,0.000001266835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052642892,0.00005277637,0.79235137,0.0000434321,0.0002234558,0.000015298358,0.019119948,0.049947336,0.0002746484,0.13038975,0.00008231447,0.007447018],"study_design_scores_gemma":[0.00041416127,0.00011825754,0.9842278,0.000029821284,0.00006055686,0.00024111074,0.005213218,0.0050456864,0.00014988573,0.0037710983,0.0005694247,0.00015898889],"about_ca_topic_score_codex":0.07398172,"about_ca_topic_score_gemma":0.45870256,"teacher_disagreement_score":0.38472083,"about_ca_system_score_codex":0.0008906235,"about_ca_system_score_gemma":0.00010968435,"threshold_uncertainty_score":0.9321847},"labels":[],"label_agreement":null},{"id":"W2013059929","doi":"10.1016/j.ufug.2008.12.004","title":"The influence of bird information, attitudes, and demographics on public preferences toward urban green spaces: The case of Montpellier, France","year":2009,"lang":"en","type":"article","venue":"Urban forestry & urban greening","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Willingness to pay; Urban sprawl; Geography; Demographics; Urban green space; Socioeconomics; Environmental planning; Contingent valuation; Urban planning; Business; Marketing; Ecology; Sociology; Economics; Demography","score_opus":0.04470653550995009,"score_gpt":0.2079436382071392,"score_spread":0.1632371026971891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013059929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445736,0.0033684173,0.00025505447,0.0006558033,0.000066816974,0.00029288515,0.000058381796,0.00002572892,0.00081954076],"genre_scores_gemma":[0.99890345,0.00047358597,0.00018059068,0.00019896077,0.000051229847,0.000015310663,0.000009884396,0.000013320109,0.00015366233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854755,0.000029418617,0.00081949553,0.00024995118,0.00007660573,0.000276981],"domain_scores_gemma":[0.9984392,0.0001650867,0.0008350355,0.00044196576,0.00003778051,0.00008091381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006489456,0.0001990804,0.00030258932,0.00015664543,0.00029701274,0.000104308194,0.00038161405,0.00011848156,0.000015360374],"category_scores_gemma":[0.00010147323,0.00015495815,0.00009680546,0.00025855625,0.00036963972,0.0007849393,0.000064562846,0.00022903783,0.000022189086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001557735,0.00002627838,0.9387827,0.00003064952,0.00004396715,0.0000014826592,0.0010860047,0.00083439884,0.0000022288184,0.05567331,0.00047342345,0.0030299986],"study_design_scores_gemma":[0.00037080087,0.00025061175,0.9861506,0.000048404447,0.000013347215,0.000015683148,0.00031761403,0.002525057,0.000014067539,0.0057655834,0.0043348903,0.00019333063],"about_ca_topic_score_codex":0.00092279946,"about_ca_topic_score_gemma":0.00017513508,"teacher_disagreement_score":0.049907725,"about_ca_system_score_codex":0.000038027283,"about_ca_system_score_gemma":0.000020151845,"threshold_uncertainty_score":0.631901},"labels":[],"label_agreement":null},{"id":"W2013324405","doi":"10.1016/j.ecolecon.2013.03.004","title":"Behavioral innovations: The missing capital in sustainable development?","year":2013,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministère des Transports","keywords":"Natural capital; Sustainable development; Economics; Dual (grammatical number); Capital (architecture); Environmental quality; Technological change; Human capital; Environmental economics; Behavioral economics; Public economics; Natural resource economics; Ecology; Microeconomics; Economic growth; Macroeconomics; Ecosystem services","score_opus":0.08821489164115037,"score_gpt":0.2217644845998781,"score_spread":0.13354959295872773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013324405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832915,0.00013570926,0.00014359276,0.0018160326,0.00014914156,0.00043266002,0.000004738429,0.000021452084,0.014005166],"genre_scores_gemma":[0.99509186,0.000043184868,0.0013116294,0.0008318381,0.00004438738,0.00021474654,0.000029372914,0.000014865103,0.002418138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984752,0.000014974617,0.0007677094,0.00033839984,0.000011427898,0.00039226533],"domain_scores_gemma":[0.99942344,0.00006435979,0.00024275816,0.00020408707,0.00001110182,0.00005424181],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005938426,0.00014012022,0.00025181146,0.00012895049,0.00020611024,0.00015201111,0.00024594046,0.00012881073,0.0037729705],"category_scores_gemma":[0.000058329762,0.00013294167,0.00005088524,0.00011844691,0.00009929559,0.0005696075,0.00013239699,0.0001769016,0.003207427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033606289,0.00029941922,0.6395376,0.000006903067,0.00001666906,0.000002644302,0.0008821957,0.0011046848,0.0000056577283,0.3536997,0.00065757334,0.0037835813],"study_design_scores_gemma":[0.00035842642,0.00003801264,0.9012188,0.0000016187267,0.000001258373,0.0000022034774,0.001273639,0.001543062,0.000021447197,0.0808824,0.014447814,0.0002113341],"about_ca_topic_score_codex":0.00030215445,"about_ca_topic_score_gemma":0.00009719772,"teacher_disagreement_score":0.2728173,"about_ca_system_score_codex":0.00067050825,"about_ca_system_score_gemma":0.000033878096,"threshold_uncertainty_score":0.99756867},"labels":[],"label_agreement":null},{"id":"W2013559318","doi":"10.1007/s10584-015-1352-z","title":"Addressing uncertainty upstream or downstream of accounting for emissions reductions from deforestation and forest degradation","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"International Tropical Timber Organization","keywords":"Upstream (networking); Downstream (manufacturing); Environmental science; Deforestation (computer science); Discounting; Context (archaeology); Upstream and downstream (DNA); Reducing emissions from deforestation and forest degradation; Greenhouse gas; Natural resource economics; Incentive; Climate change; Environmental economics; Business; Economics; Computer science; Finance; Microeconomics","score_opus":0.473890710642525,"score_gpt":0.31597279697231406,"score_spread":0.15791791367021096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013559318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929363,0.0003097198,0.004910032,0.0003161856,0.00018568514,0.00039020606,0.00035562916,0.000013913087,0.00058234105],"genre_scores_gemma":[0.9927283,0.000098470446,0.0062751696,0.00003826588,0.00012090644,0.00012950141,0.00048076315,0.000014026132,0.000114621995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992479,0.000007999711,0.00040399947,0.00019508127,0.000024619769,0.000120391305],"domain_scores_gemma":[0.9992993,0.000102920836,0.0003810976,0.00013746486,0.000018641256,0.00006058059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003053136,0.00008628126,0.00020001939,0.00008597832,0.000090621914,0.00003017536,0.000053024305,0.00005984109,0.000092300106],"category_scores_gemma":[0.00023354935,0.00008477049,0.00003676165,0.00006562574,0.00005130516,0.00034448924,0.00002720312,0.000034886598,0.000019608318],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007481001,0.00017835865,0.9524289,0.00016495214,0.00006317327,2.7704422e-7,0.00656314,0.0010013003,0.00006887259,0.011695032,0.0007845221,0.026976665],"study_design_scores_gemma":[0.003338434,0.00030664826,0.6522957,0.00032384752,0.00010790606,0.000007015912,0.01087889,0.20407243,0.00025364422,0.1260246,0.0018690072,0.0005218546],"about_ca_topic_score_codex":0.00066040293,"about_ca_topic_score_gemma":0.00027262882,"teacher_disagreement_score":0.30013317,"about_ca_system_score_codex":0.00012023552,"about_ca_system_score_gemma":0.000013993711,"threshold_uncertainty_score":0.345684},"labels":[],"label_agreement":null},{"id":"W2013644903","doi":"10.1111/j.1744-7976.2005.00354.x","title":"Consumer Demand for Pesticide Free Food Products in Canada: A Probit Analysis","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; University of Manitoba","funders":"Manitoba Rural Adaptation Council","keywords":"Product (mathematics); Business; Probit model; Production (economics); Cropping; Agricultural economics; Food processing; Probit; Agriculture; Agricultural science; Pesticide; Food systems; Consumer demand; Food products; Marketing; Economics; Food security; Food science; Environmental science; Geography; Agronomy; Microeconomics; Mathematics","score_opus":0.05328706746301369,"score_gpt":0.15345170692084834,"score_spread":0.10016463945783464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013644903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98867005,0.0018277654,0.00006955374,0.006170824,0.00075958314,0.00054988905,0.0011802469,0.0000041980943,0.0007678616],"genre_scores_gemma":[0.99704874,0.000108577326,0.0012447528,0.0005056631,0.0005100654,0.00004901144,0.00010653965,0.00003290541,0.00039375463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964908,0.00002192745,0.0019483669,0.0005922857,0.000009774212,0.00093689584],"domain_scores_gemma":[0.9970868,0.00011755754,0.0013257368,0.00040429563,0.00007874456,0.0009868148],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074993685,0.00035969436,0.0011414591,0.00075678533,0.00015971198,0.00011380151,0.0006794946,0.00013763683,0.000451955],"category_scores_gemma":[0.00023474343,0.00039367285,0.00033431454,0.0002880575,0.00008284332,0.0007589789,0.00002961336,0.00021483941,0.000047500645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040280927,0.000044461616,0.7833548,0.00007640223,0.0015650446,0.000015672496,0.0011815602,0.15529244,0.000007823458,0.050032817,0.00738527,0.0010033924],"study_design_scores_gemma":[0.0019309113,0.0002567355,0.9594367,0.000032342956,0.00021813242,0.00011305585,0.00082712626,0.0016919336,0.00009365588,0.0053169862,0.02927545,0.00080694084],"about_ca_topic_score_codex":0.78858185,"about_ca_topic_score_gemma":0.99964446,"teacher_disagreement_score":0.21106258,"about_ca_system_score_codex":0.010176019,"about_ca_system_score_gemma":0.0017566899,"threshold_uncertainty_score":0.9998515},"labels":[],"label_agreement":null},{"id":"W2014671684","doi":"10.1257/aer.99.5.1925","title":"The Evolution of Time Preference with Aggregate Uncertainty","year":2009,"lang":"en","type":"article","venue":"American Economic Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Discounting; Time preference; Economics; Aggregate (composite); Preference; Econometrics; Population; Overlapping generations model; Mathematical economics; Microeconomics; Demography","score_opus":0.042684839899811325,"score_gpt":0.2150935423667776,"score_spread":0.17240870246696627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014671684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7523638,0.13271122,0.0013188967,0.0061864043,0.00017550077,0.0013296447,0.000113559836,0.00005877354,0.10574221],"genre_scores_gemma":[0.9306452,0.06770281,0.00023029577,0.0005198139,0.000029914881,0.000026368081,0.000012914982,0.000011168812,0.0008215183],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988193,0.000026246837,0.00064955046,0.00029159404,0.000018398334,0.00019491959],"domain_scores_gemma":[0.998478,0.00005283105,0.0009878987,0.0004246443,0.000006855751,0.000049789036],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005665625,0.00013314153,0.0004910097,0.00003588329,0.00007848781,0.000017224995,0.00025099743,0.000018747465,0.0002708499],"category_scores_gemma":[0.000024078543,0.00010666759,0.00009571709,0.00008428005,0.00023954641,0.000158524,0.000020316918,0.00006710509,0.0016659967],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010735701,0.00017929706,0.1405129,0.00027438015,0.000323616,0.0000011393342,0.00019227546,0.004799403,0.000050532715,0.30817857,0.009301241,0.5360793],"study_design_scores_gemma":[0.0014311122,0.001970894,0.7247381,0.0013276425,0.00012768245,0.000033372293,0.0002439665,0.010611169,0.00007431856,0.044974465,0.21307455,0.0013926972],"about_ca_topic_score_codex":0.00042271113,"about_ca_topic_score_gemma":0.000035715548,"teacher_disagreement_score":0.58422524,"about_ca_system_score_codex":0.00047632772,"about_ca_system_score_gemma":0.000035154913,"threshold_uncertainty_score":0.9991113},"labels":[],"label_agreement":null},{"id":"W2014782360","doi":"10.1007/s40271-013-0037-9","title":"Segmenting Patients and Physicians Using Preferences from Discrete Choice Experiments","year":2013,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Market segmentation; Psychology; Artificial intelligence; Computer science; Marketing; Business","score_opus":0.09243271045509847,"score_gpt":0.21832659348277184,"score_spread":0.12589388302767335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014782360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965024,0.0003624744,0.00029750486,0.000019347375,0.00021046173,0.00023717895,0.00005367128,0.000010566283,0.0023064166],"genre_scores_gemma":[0.99849904,0.000024905956,0.001142384,0.00015344325,0.00003425517,0.00003613259,0.000054858487,0.000012310099,0.000042648946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992279,0.00000928037,0.0003033332,0.00027706573,0.000027769434,0.00015469955],"domain_scores_gemma":[0.9995881,0.000018497958,0.0002362306,0.000110310524,0.0000055576124,0.000041326577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033356147,0.00010089157,0.00015104946,0.00003420166,0.000091866714,0.00005784714,0.00005779218,0.00003228365,0.00050512265],"category_scores_gemma":[0.000011387113,0.0001135716,0.000028931974,0.00002593589,0.000028937706,0.00037014516,0.00007657222,0.000039811588,0.00032926822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.2425364e-7,0.000057384186,0.99251413,0.0000028301133,0.000020652831,2.4111241e-8,0.0013604586,0.00006919104,0.00019899379,0.00009759323,0.00006243771,0.0056153606],"study_design_scores_gemma":[0.00037950507,0.00005860738,0.9889087,0.000015518088,0.000004917642,3.360999e-8,0.00038323874,0.006284183,0.00092592475,0.0024367727,0.0004133041,0.00018928158],"about_ca_topic_score_codex":0.002026003,"about_ca_topic_score_gemma":0.0000069491166,"teacher_disagreement_score":0.0062149917,"about_ca_system_score_codex":0.00008475108,"about_ca_system_score_gemma":0.0000014803696,"threshold_uncertainty_score":0.5530739},"labels":[],"label_agreement":null},{"id":"W2014957178","doi":"10.1577/m06-079.1","title":"Predicting Fishing Participation and Site Choice While Accounting for Spatial Substitution, Trip Timing, and Trip Context","year":2007,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Agriculture Food and Rural Development; Wilfrid Laurier University; Ministry of Natural Resources and Forestry","funders":"Ontario Federation of Anglers and Hunters; Ministry of Natural Resources","keywords":"Fishing; TRIPS architecture; Recreational fishing; Context (archaeology); Recreation; Sander; Fishery; Geography; Environmental resource management; Environmental science; Ecology; Transport engineering; Engineering; Biology","score_opus":0.05756527490334594,"score_gpt":0.23027539158768007,"score_spread":0.17271011668433411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014957178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589253,0.00019952544,0.039450277,0.00027427633,0.0001955302,0.00020862847,0.000018186554,0.000007675495,0.0007205996],"genre_scores_gemma":[0.9971625,0.00018681785,0.0020842226,0.00027541202,0.00018272242,0.000009335098,0.000012359581,0.000012552199,0.000074067866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988354,0.000010193593,0.0007095786,0.00018923015,0.00004763992,0.00020795071],"domain_scores_gemma":[0.998689,0.000094651834,0.0010305517,0.000080623315,0.00002510669,0.00008004794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093466893,0.00010895276,0.00028320894,0.00013824881,0.00016735257,0.00010355855,0.00006917979,0.000021127053,0.000032339925],"category_scores_gemma":[0.00009791951,0.0001257185,0.00004942061,0.00008345714,0.0001180452,0.000559427,0.00003896277,0.0000851298,0.0000029214239],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006046759,0.000020999718,0.9110903,0.00002869376,0.000053569773,0.0000012997335,0.00056862185,0.0001699488,0.0000014387218,0.00031221134,0.00010264985,0.08758979],"study_design_scores_gemma":[0.0008681316,0.00024229537,0.9804155,0.000018055656,0.000038941937,0.0000033016443,0.00062030694,0.0021876132,0.000010931811,0.00012407398,0.01534436,0.00012649297],"about_ca_topic_score_codex":0.0002705915,"about_ca_topic_score_gemma":0.0006927453,"teacher_disagreement_score":0.0874633,"about_ca_system_score_codex":0.00011023771,"about_ca_system_score_gemma":0.000004782265,"threshold_uncertainty_score":0.5126652},"labels":[],"label_agreement":null},{"id":"W2015573348","doi":"10.1038/oby.2004.169","title":"Valuing the Benefits of Weight Loss Programs: An Application of the Discrete Choice Experiment","year":2004,"lang":"en","type":"article","venue":"Obesity Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Weight loss; Overweight; Obesity; Medicine; Weight management; Gerontology; Psychology","score_opus":0.14906181967896914,"score_gpt":0.31108179959293186,"score_spread":0.16201997991396272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015573348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957208,0.00062074134,0.000498547,0.00058738596,0.000041414827,0.0004943821,0.000016779491,0.0000047133994,0.002015254],"genre_scores_gemma":[0.99941695,0.00012668669,0.00016883436,0.000013534959,0.000054423723,0.00007595853,0.000010469106,0.000009635417,0.00012350376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991215,0.000045719997,0.0003129949,0.00022737503,0.00010526819,0.00018714883],"domain_scores_gemma":[0.9992154,0.000040716455,0.00016961724,0.00051308045,0.000025312536,0.0000358345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013959483,0.00006361611,0.00013749779,0.000049795406,0.00018206201,0.000020608572,0.0004231179,0.000049619626,0.000049454644],"category_scores_gemma":[0.000033615706,0.00004748075,0.000063045765,0.00018237063,0.00024671448,0.00014813594,0.00015355431,0.00013653676,0.00007490796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000715423,0.00027099036,0.8609751,0.000022652799,0.000017724427,3.090886e-8,0.0011711697,0.001612235,0.00060737616,0.13250636,0.000008808965,0.0028004118],"study_design_scores_gemma":[0.00035725746,0.000098860786,0.96594787,0.00001875635,0.0000029335024,5.3108073e-7,0.00025941108,0.00082160096,0.015479293,0.015983872,0.00095418934,0.00007543515],"about_ca_topic_score_codex":0.0014854921,"about_ca_topic_score_gemma":0.000121437304,"teacher_disagreement_score":0.11652248,"about_ca_system_score_codex":0.00017340212,"about_ca_system_score_gemma":0.000016157295,"threshold_uncertainty_score":0.22456297},"labels":[],"label_agreement":null},{"id":"W2016285752","doi":"10.1016/j.jclinepi.2005.11.016","title":"A new preference-based analysis for randomized trials can estimate treatment acceptability and effect in compliant patients","year":2006,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; McMaster University","funders":"","keywords":"Preference; Randomized controlled trial; Medicine; Protocol (science); Outcome (game theory); Treatment effect; Treatment and control groups; Intention-to-treat analysis; Statistics; Alternative medicine; Mathematics; Surgery; Internal medicine","score_opus":0.547970402933054,"score_gpt":0.4506015172826536,"score_spread":0.09736888565040042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016285752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9477634,0.00046663338,0.049435996,0.0012373606,0.0002670676,0.0006418717,0.00006364903,0.000002443634,0.00012160244],"genre_scores_gemma":[0.9861203,0.00019423597,0.013227509,0.00021801815,0.00013507655,0.00003129148,0.000036512505,0.0000063355037,0.00003072475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.990724,0.0021823144,0.0065858318,0.00029367718,0.000019887268,0.00019423671],"domain_scores_gemma":[0.95843416,0.036759336,0.004524797,0.00014375799,0.000017482036,0.00012044067],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.042285077,0.00014558593,0.006036019,0.00021039582,0.000026788728,0.000009459798,0.000093133276,0.00017520858,0.00020762379],"category_scores_gemma":[0.027732955,0.00010636882,0.0013598405,0.00007654477,0.000113569244,0.00006292513,0.000013964439,0.00012777596,0.0000060523944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068988893,0.00018084214,0.97541744,0.000008690218,0.0003496381,2.3084893e-7,0.000009056384,0.008740785,1.204754e-7,0.0015264377,0.00009116334,0.0067766914],"study_design_scores_gemma":[0.07930362,0.0007289462,0.8436126,0.0000059280687,0.000278868,1.8998497e-7,0.0000012105663,0.018698528,0.0000023862253,0.057165504,0.00012647138,0.000075732074],"about_ca_topic_score_codex":0.001261762,"about_ca_topic_score_gemma":0.00032966767,"teacher_disagreement_score":0.13180484,"about_ca_system_score_codex":0.00016561606,"about_ca_system_score_gemma":0.000041529653,"threshold_uncertainty_score":0.98616904},"labels":[],"label_agreement":null},{"id":"W2016803106","doi":"10.1515/1542-0485.1372","title":"Picking Apples: Can Multi-Attribute Ecolabels Compete?","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural & Food Industrial Organization","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Business; Conjoint analysis; Quality (philosophy); Marketing; Production (economics); Integrated pest management; Government (linguistics); Price premium; Traceability; Sample (material); Willingness to pay; Wildlife; Agricultural science; Agricultural economics; Economics; Preference; Ecology; Engineering","score_opus":0.16147624217304896,"score_gpt":0.2076184744018804,"score_spread":0.04614223222883143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016803106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965211,0.0003710269,0.001028647,0.00050403544,0.0013149643,0.00017994565,0.000059045713,0.000014039006,0.0000071864106],"genre_scores_gemma":[0.9980353,0.00007676174,0.0004573669,0.00009437401,0.0011223574,0.0000015290199,0.00008946867,0.000018895016,0.000103962186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860555,0.00003204003,0.0009083919,0.00013274871,0.00006640007,0.0002548683],"domain_scores_gemma":[0.99846244,0.00003239953,0.0011864693,0.000086449494,0.00008199918,0.00015026666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000522965,0.0001557952,0.00036053758,0.00011348103,0.0001377193,0.00007116919,0.00017284908,0.00018558292,0.00034846578],"category_scores_gemma":[0.00022024068,0.00013340433,0.000091360955,0.00034962062,0.000023513354,0.000863891,0.000045341327,0.00025854388,0.00013333393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.2528106e-7,0.00010241293,0.9960786,0.000003233883,0.00007584771,1.8127e-7,0.00043413576,0.00038826023,0.0002493126,0.0015794127,0.0010835209,0.0000048178695],"study_design_scores_gemma":[0.0012951826,0.00016504493,0.99448526,0.000018690856,0.000028665207,0.000028097147,0.00064708845,1.6036452e-7,0.0028354393,0.0000021243663,0.0003065152,0.00018775545],"about_ca_topic_score_codex":0.00002337894,"about_ca_topic_score_gemma":0.000012106255,"teacher_disagreement_score":0.0025861266,"about_ca_system_score_codex":0.00049033464,"about_ca_system_score_gemma":0.000021659378,"threshold_uncertainty_score":0.54400706},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2016961615","doi":"10.1007/s10344-014-0812-5","title":"Trade-off between human–wildlife conflict risk and recreation conditions","year":2014,"lang":"en","type":"article","venue":"European Journal of Wildlife Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Japan Society for the Promotion of Science","keywords":"Recreation; Wildlife; Geography; Environmental resource management; Resource (disambiguation); Tourism; Environmental planning; Business; Ecology; Computer science; Economics","score_opus":0.22224288543950463,"score_gpt":0.3206917970535763,"score_spread":0.09844891161407168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016961615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744982,0.00068655406,0.0015354769,0.001854005,0.00009783764,0.00013365653,0.00006457222,0.00000976811,0.021119932],"genre_scores_gemma":[0.9963549,0.0019026297,0.00037729315,0.0002270476,0.0007043977,0.0000018099377,0.000029937384,0.000036231137,0.00036575526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99770397,0.0007100447,0.00092871755,0.000251593,0.00012680453,0.00027890014],"domain_scores_gemma":[0.99855757,0.00031082955,0.00062778016,0.00022709269,0.00003719539,0.0002395304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009815753,0.000120328856,0.00034542268,0.00042484255,0.00038883346,0.00011514246,0.0002572668,0.000045582852,0.00025727827],"category_scores_gemma":[0.0004949748,0.0001300545,0.00010234255,0.00013573292,0.0002358636,0.00041186018,0.00007449335,0.00056598533,0.00045035107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018115035,0.00008155146,0.95640457,0.000020317484,0.00011967738,0.000007743978,0.0010861084,0.00016032979,0.00007165148,0.014243947,0.016825419,0.010960558],"study_design_scores_gemma":[0.0009332167,0.00043139834,0.82785976,0.000038460486,0.000012736405,0.000017961223,0.00016472321,0.00015118951,0.000016286762,0.0028858331,0.16735965,0.00012876691],"about_ca_topic_score_codex":0.000022439537,"about_ca_topic_score_gemma":0.0000010837455,"teacher_disagreement_score":0.15053424,"about_ca_system_score_codex":0.00011848991,"about_ca_system_score_gemma":0.000014660476,"threshold_uncertainty_score":0.5788502},"labels":[],"label_agreement":null},{"id":"W2016978631","doi":"10.4000/vertigo.2167","title":"Application de la méthode d'évaluation contingente aux récifs coralliens  dans la Caraibe : étude appliquée à la zone de Pigeon de la Guadeloupe","year":2006,"lang":"fr","type":"article","venue":"VertigO","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Geography; Humanities; Art","score_opus":0.03493617961538363,"score_gpt":0.2379440719866505,"score_spread":0.20300789237126687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016978631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58566165,0.0022712543,0.39511973,0.0004357989,0.00013477358,0.00031685134,0.00010023884,0.000047776204,0.015911946],"genre_scores_gemma":[0.9748759,0.0021166962,0.016187768,0.00030927718,0.00031311132,0.0002260437,0.00021545053,0.00008790731,0.0056678276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972243,0.000522577,0.0008463398,0.0006568296,0.000090818234,0.0006591376],"domain_scores_gemma":[0.9983589,0.00052696874,0.0005194273,0.00042641256,0.00002209199,0.00014620302],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036422478,0.00033971205,0.0004521795,0.00016260437,0.00023577968,0.00021017701,0.00030109854,0.00064933574,0.00018277725],"category_scores_gemma":[0.00011278703,0.00049640075,0.00020104542,0.00019705924,0.00045731032,0.00030940102,0.00009720677,0.0004168239,0.00043590102],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041086256,0.00044854273,0.65479577,0.000069554466,0.00007735772,0.000010674152,0.0020925216,0.03456089,0.0039490443,0.29349175,0.0016748098,0.008787983],"study_design_scores_gemma":[0.0013496204,0.00006268979,0.67909247,0.000050927338,0.000101467725,0.00006100512,0.00028788476,0.16108163,0.0014628733,0.031068807,0.124872975,0.0005076753],"about_ca_topic_score_codex":0.003198451,"about_ca_topic_score_gemma":0.00035741756,"teacher_disagreement_score":0.38921428,"about_ca_system_score_codex":0.0014863417,"about_ca_system_score_gemma":0.00017129547,"threshold_uncertainty_score":0.99974877},"labels":[],"label_agreement":null},{"id":"W2017210899","doi":"10.1016/j.tre.2010.10.002","title":"Preferences for alternative short sea shipping opportunities","year":2010,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mixed logit; Econometrics; Preference; Scale (ratio); Sample (material); Economics; Distribution (mathematics); Willingness to pay; Logistic regression; Microeconomics; Statistics; Geography; Mathematics","score_opus":0.575827125772968,"score_gpt":0.3786383898827318,"score_spread":0.19718873589023622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017210899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.885879,0.02431115,0.06489191,0.0046352143,0.0010359017,0.004784662,0.0075340397,0.00012270248,0.0068054385],"genre_scores_gemma":[0.9298143,0.065254934,0.0014898614,0.00033062487,0.00009371919,0.00051881163,0.0021922535,0.00002450678,0.00028098846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99821275,0.000030081044,0.0008753601,0.0004567156,0.000118521915,0.0003065748],"domain_scores_gemma":[0.99911726,0.00022300423,0.00019181019,0.00019346974,0.00012172502,0.00015272359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018253775,0.00016914557,0.00039083022,0.0001374782,0.00023294131,0.00005310404,0.00015271686,0.00009881441,0.0006271979],"category_scores_gemma":[0.00008280907,0.00018370434,0.000102422964,0.00012224601,0.0002570414,0.00026951122,0.0000019967042,0.00029284906,0.00003855137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028470631,0.000115245806,0.21299694,0.0023508547,0.0000937641,0.0000044516723,0.000604518,0.00020799795,0.000028231454,0.773979,0.0016907707,0.007899764],"study_design_scores_gemma":[0.0008970454,0.00025306988,0.6689413,0.00053181394,0.00010473301,9.498288e-7,0.0003024223,0.0014431252,0.00009860231,0.13669534,0.19010243,0.0006291355],"about_ca_topic_score_codex":0.00021967193,"about_ca_topic_score_gemma":0.0012886426,"teacher_disagreement_score":0.6372836,"about_ca_system_score_codex":0.000022611313,"about_ca_system_score_gemma":0.000034428103,"threshold_uncertainty_score":0.7491245},"labels":[],"label_agreement":null},{"id":"W2017353404","doi":"10.1177/0272989x14525264","title":"Sample Size and Power When Designing a Randomized Trial for the Estimation of Treatment, Selection, and Preference Effects","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Selection (genetic algorithm); Estimation; Preference; Sample size determination; Randomized controlled trial; Statistics; Sample (material); Econometrics; Computer science; Medicine; Psychology; Mathematics; Economics; Artificial intelligence; Internal medicine","score_opus":0.07397537297448394,"score_gpt":0.2725037227193427,"score_spread":0.19852834974485878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017353404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39899173,0.00022839349,0.5999698,0.000077977806,0.000106948835,0.00050742645,0.0000033133497,0.0000050126314,0.00010941752],"genre_scores_gemma":[0.9652187,0.00014192805,0.034362443,0.00008819751,0.00004018796,0.00011862447,0.0000015831577,0.000007486371,0.000020799886],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991906,0.000051173174,0.00041987287,0.00020251508,0.000042782907,0.00009302239],"domain_scores_gemma":[0.986927,0.01271332,0.00022753667,0.000086412394,0.000006510936,0.0000392749],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0019968294,0.00008025024,0.00034782663,0.000042937652,0.000110342386,0.000032302192,0.000055584616,0.00007035391,0.00018232303],"category_scores_gemma":[0.009690284,0.00005808729,0.000055861805,0.000030089122,0.00007283329,0.00008061427,0.000026283931,0.000039910377,0.000004672742],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.08479414,0.0001501851,0.014963728,0.00007914255,0.00022709026,1.7586125e-7,0.0018930254,0.0019878943,0.000029426674,0.09851185,0.00022332268,0.79714],"study_design_scores_gemma":[0.2399646,0.0005180377,0.008194104,0.000068686386,0.0000357688,0.0000018557394,0.00001491501,0.4514835,0.000032536143,0.29922637,0.00036204717,0.00009760528],"about_ca_topic_score_codex":0.00004239046,"about_ca_topic_score_gemma":0.0000071189143,"teacher_disagreement_score":0.7970424,"about_ca_system_score_codex":0.000045521807,"about_ca_system_score_gemma":0.000009059102,"threshold_uncertainty_score":0.9986515},"labels":[],"label_agreement":null},{"id":"W2018001360","doi":"10.3141/2156-15","title":"Sequential and Simultaneous Estimation of Hybrid Discrete Choice Models","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fondo para la Investigación Científica y Tecnológica; Comisión Nacional de Investigación Científica y Tecnológica; Universidad de Chile; Pontificia Universidad Católica de Chile; Deutscher Akademischer Austauschdienst","keywords":"Estimator; Econometrics; Discrete choice; Context (archaeology); Computer science; Latent variable; Estimation; Mathematics; Mathematical optimization; Machine learning; Statistics; Economics; Geography","score_opus":0.1528263993983199,"score_gpt":0.3385915733955727,"score_spread":0.1857651739972528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018001360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902552,0.0001878124,0.0071025076,0.0009789756,0.00040028038,0.0005053155,0.0001725558,0.000008358756,0.0003890043],"genre_scores_gemma":[0.9962032,0.00056039693,0.0026938925,0.000018642408,0.00009504755,0.000021945978,0.000024451941,0.000032468033,0.00034997726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971392,0.00013796655,0.0014237852,0.000328148,0.0005571844,0.00041367617],"domain_scores_gemma":[0.9976997,0.00066518685,0.00069276744,0.00032567937,0.00041129428,0.00020540749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034240177,0.00015522125,0.0003990469,0.00057192444,0.00029178706,0.00007393857,0.00048866455,0.00010935973,0.00038181024],"category_scores_gemma":[0.00023587995,0.00014093041,0.00020705757,0.0004207434,0.000599556,0.00084157824,0.000008553835,0.0012580788,0.000024077523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008156051,0.00042767837,0.7596133,0.00044238273,0.00030307795,0.000045715577,0.003677231,0.114871144,0.006043512,0.094913885,0.0010158726,0.01783062],"study_design_scores_gemma":[0.0016529833,0.00041159746,0.8670396,0.0001028561,0.00003129904,0.0000015401672,0.00040638284,0.04872684,0.0025140129,0.07682802,0.0020546687,0.00023020085],"about_ca_topic_score_codex":0.006671849,"about_ca_topic_score_gemma":0.0072739488,"teacher_disagreement_score":0.10742632,"about_ca_system_score_codex":0.00010491623,"about_ca_system_score_gemma":0.00010355071,"threshold_uncertainty_score":0.9999428},"labels":[],"label_agreement":null},{"id":"W2018327237","doi":"10.1016/j.ecolecon.2013.07.011","title":"Designing a payments for ecosystem services (PES) program to reduce deforestation in Tanzania: An assessment of payment approaches","year":2013,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":141,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta; Agricultural and Applied Economics Association","keywords":"Payment; Ecosystem services; Cash; Incentive; Business; Payment for ecosystem services; Tanzania; Natural resource economics; Conditionality; Additionality; Deforestation (computer science); Disbursement; Environmental resource management; Agricultural economics; Public economics; Ecosystem; Economics; Finance; Socioeconomics; Ecology","score_opus":0.13296546349643215,"score_gpt":0.2828587788122012,"score_spread":0.14989331531576902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018327237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904471,0.000026499549,0.0045684567,0.00032853996,0.00015730497,0.0027277,0.00009710164,0.000028414752,0.0016188937],"genre_scores_gemma":[0.9525531,0.000031194704,0.04462689,0.00017946152,0.0000398804,0.0023573916,0.00013241966,0.00002368985,0.000055974408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794084,0.00003588981,0.0010755144,0.0005754355,0.000020863668,0.0003514638],"domain_scores_gemma":[0.999005,0.00008104846,0.0005239955,0.00024157096,0.000013172323,0.00013518662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090965314,0.00019088206,0.0005140993,0.00016007334,0.0000694007,0.00008819545,0.00025492493,0.00015134813,0.0002867884],"category_scores_gemma":[0.000019484612,0.00020774845,0.00009199403,0.00007517461,0.000025599236,0.0005178641,0.000078698744,0.000082386156,0.00014152759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037227837,0.0016990316,0.842177,0.00016706504,0.00008440184,4.284662e-7,0.00069078227,0.087331876,0.0001102547,0.048624083,0.000054066095,0.019023817],"study_design_scores_gemma":[0.00086861773,0.0007764667,0.767215,0.000013163669,0.000005996733,7.731e-7,0.0006556688,0.214953,0.00015332295,0.014704901,0.000397821,0.00025521853],"about_ca_topic_score_codex":0.00012079809,"about_ca_topic_score_gemma":0.00032594957,"teacher_disagreement_score":0.12762113,"about_ca_system_score_codex":0.0006596505,"about_ca_system_score_gemma":0.000021435178,"threshold_uncertainty_score":0.84717363},"labels":[],"label_agreement":null},{"id":"W2018536683","doi":"10.1111/j.1467-842x.2010.00584.x","title":"SAMPLING AND ESTIMATION IN THE PRESENCE OF CUT‐OFF SAMPLING","year":2010,"lang":"en","type":"article","venue":"Australian & New Zealand Journal of Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mathematics; Sampling (signal processing); Statistics; Estimator; Sampling bias; Sampling design; Sample (material); Selection (genetic algorithm); Sample size determination; Calibration; Set (abstract data type); Population; Selection bias; Probability sampling; Cluster sampling; Computer science; Artificial intelligence","score_opus":0.10952350737618384,"score_gpt":0.2850730236934445,"score_spread":0.17554951631726068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018536683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97907823,0.00007952683,0.0196645,0.0007370157,0.00020007727,0.00007160143,0.000083359504,0.0000010646553,0.000084622465],"genre_scores_gemma":[0.952179,0.00025006867,0.04718611,0.00003188352,0.00006502267,5.688901e-7,0.00000794135,0.000005915578,0.0002734573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999161,0.000010682298,0.00059777667,0.00008461487,0.00003968787,0.00010624958],"domain_scores_gemma":[0.9991229,0.00018575699,0.0005395614,0.00009047339,0.00001181884,0.000049455208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069406425,0.00006677157,0.00018679856,0.0000873875,0.000030228452,0.000037860187,0.00011671574,0.00004703279,0.00010666611],"category_scores_gemma":[0.00015705384,0.000059598024,0.000023838096,0.000050137438,0.000052956693,0.00017518531,0.000011840325,0.0002136494,0.000008476658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023685494,0.00007010799,0.93724084,0.000027555807,0.000028397637,0.000003655251,0.0021644467,0.0044926535,0.00030403913,0.03719284,0.0029172131,0.015534545],"study_design_scores_gemma":[0.00054997904,0.00010902857,0.92088115,0.000027149816,0.000012151037,0.000042452222,0.00017512936,0.0017980887,0.000046013643,0.0719849,0.0042907163,0.00008324116],"about_ca_topic_score_codex":0.00027418902,"about_ca_topic_score_gemma":0.00012557564,"teacher_disagreement_score":0.03479206,"about_ca_system_score_codex":0.000017728971,"about_ca_system_score_gemma":0.000016418633,"threshold_uncertainty_score":0.24303368},"labels":[],"label_agreement":null},{"id":"W2020034768","doi":"10.1016/j.tranpol.2012.11.016","title":"Bidding to drive: Car license auction policy in Shanghai and its public acceptance","year":2013,"lang":"en","type":"article","venue":"Transport Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"License; Beijing; Bidding; Business; Revenue; Car ownership; Equity (law); Common value auction; Public policy; Public economics; China; Economics; Marketing; Finance; Public transport; Economic growth; Transport engineering; Engineering; Geography; Microeconomics","score_opus":0.07088617965010996,"score_gpt":0.24329146597833123,"score_spread":0.17240528632822127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020034768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98374635,0.00028216295,0.0002852815,0.006954811,0.000077012264,0.00038487086,0.000055373028,0.00003256367,0.008181587],"genre_scores_gemma":[0.996432,0.0004850885,0.0001730968,0.0011328135,0.00026379855,0.00009553802,0.000022722917,0.000027318321,0.0013675902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987568,0.000008019288,0.00045838804,0.00038049833,0.000027273838,0.0003689652],"domain_scores_gemma":[0.99951094,0.000010698894,0.00011360357,0.0001791055,0.0000072124726,0.00017846348],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019974938,0.00015039202,0.00025897726,0.0006389647,0.00006857923,0.00004231287,0.00012696127,0.00009706204,0.0008490781],"category_scores_gemma":[0.000030209949,0.00019217907,0.000050432103,0.00040167128,0.000030058312,0.0006983659,0.00002109089,0.00010042482,0.0015534561],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008102522,0.00008976732,0.79589623,0.000039770606,0.000027013835,0.0000016995951,0.0033514872,0.0006956498,0.0005033987,0.19074295,0.000240803,0.0084031215],"study_design_scores_gemma":[0.00040239276,0.000030280473,0.98837745,0.000009144786,0.000001909627,0.0000026801647,0.00010951431,0.0008115387,0.00009123568,0.0041561653,0.0057892813,0.00021842615],"about_ca_topic_score_codex":0.005216347,"about_ca_topic_score_gemma":0.0004119179,"teacher_disagreement_score":0.1924812,"about_ca_system_score_codex":0.00035588106,"about_ca_system_score_gemma":0.000027257931,"threshold_uncertainty_score":0.99922395},"labels":[],"label_agreement":null},{"id":"W2020066961","doi":"10.1016/j.aap.2014.05.026","title":"Value of a statistical life in road safety: A benefit-transfer function with risk-analysis guidance based on developing country data","year":2014,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Total personal income; Economics; Developing country; Per capita income; Per capita; Income elasticity of demand; Gross domestic product; Demographic economics; Econometrics; Public economics; Economic growth; Gross income; Population","score_opus":0.04269016061078995,"score_gpt":0.2417525371564653,"score_spread":0.19906237654567535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020066961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4320022,0.00009529452,0.56736267,0.000050254643,0.000024115798,0.00011611505,0.00003133775,0.000007468047,0.00031058196],"genre_scores_gemma":[0.99427074,0.00013726785,0.0034382164,0.00013144863,0.00002692733,0.000022883152,0.0018901823,0.000015177239,0.00006713081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977565,0.000115836716,0.0011315094,0.00067385077,0.00012619646,0.00019613706],"domain_scores_gemma":[0.99851006,0.00011830037,0.0005465168,0.0007465496,0.000020550797,0.00005800804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023433717,0.00017537421,0.000711925,0.0008348294,0.00007991184,0.00004294672,0.00026693824,0.000090599846,0.0007637629],"category_scores_gemma":[0.00014685417,0.00019035357,0.00019098633,0.0012518415,0.000033951826,0.00037880882,0.000047377296,0.00011785177,0.00006846078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009241444,0.000088439534,0.7743747,0.0000041368326,0.0014060368,1.66131e-7,0.000025360405,0.20562024,0.0000010350072,0.017020518,0.000007755087,0.0013591674],"study_design_scores_gemma":[0.00052171125,0.000064660315,0.6270754,0.000015406917,0.0016494448,4.1985714e-8,0.000019454223,0.368223,0.0000036261463,0.002223936,0.00006601603,0.00013732308],"about_ca_topic_score_codex":0.0021545806,"about_ca_topic_score_gemma":0.012779758,"teacher_disagreement_score":0.56392443,"about_ca_system_score_codex":0.00023075947,"about_ca_system_score_gemma":0.000026067171,"threshold_uncertainty_score":0.8362668},"labels":[],"label_agreement":null},{"id":"W2020122073","doi":"10.1080/02508281.2001.11081181","title":"Human Use in World Heritage Natural Sites: A Global Inventory","year":2001,"lang":"en","type":"article","venue":"Tourism Recreation Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"World heritage; IUCN Red List; Natural heritage; Geography; Tourism; Natural (archaeology); Environmental protection; Socioeconomics; Archaeology; Environmental resource management; Ecology; Environmental science; Biology","score_opus":0.30804605151096054,"score_gpt":0.3453450622417803,"score_spread":0.03729901073081976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020122073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95690304,0.0006078272,0.000032218257,0.00045306789,0.00008386242,0.00028230518,0.000015276371,0.0000238534,0.041598532],"genre_scores_gemma":[0.96983975,0.00013353094,0.00022727005,0.0001410315,0.00011738433,0.000055255718,0.00006397906,0.000014483293,0.029407304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986304,0.000088107176,0.00045182384,0.0003778785,0.00008664342,0.00036512752],"domain_scores_gemma":[0.99944216,0.000048197006,0.00013330646,0.00026859023,0.000019128138,0.00008862501],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013743535,0.00010310587,0.00019804592,0.0004200846,0.0001468492,0.00011948923,0.00017670446,0.00007981287,0.0021010363],"category_scores_gemma":[0.00013560637,0.0001297424,0.00005741256,0.00053761835,0.00009365903,0.0005298552,0.000081694525,0.0002880028,0.0014303975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014864089,0.00009000673,0.97379,0.0000057856196,0.000009311003,0.000017476314,0.000118096184,0.000081381964,0.00004271566,0.019605292,0.0058082547,0.0004168507],"study_design_scores_gemma":[0.0005563506,0.000031310057,0.96525156,0.00001596947,9.1707847e-7,0.0000021287728,0.00013409898,0.0022125454,0.000012729326,0.01640449,0.015235444,0.0001424442],"about_ca_topic_score_codex":0.0023863893,"about_ca_topic_score_gemma":0.003320094,"teacher_disagreement_score":0.012936706,"about_ca_system_score_codex":0.0009044872,"about_ca_system_score_gemma":0.000012161197,"threshold_uncertainty_score":0.9993471},"labels":[],"label_agreement":null},{"id":"W2020279631","doi":"10.1111/1467-8489.12038","title":"An economic model of aboriginal fire‐stick farming","year":2013,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Incentive; Context (archaeology); Natural resource economics; Greenhouse gas; Agriculture; Biodiversity; Resource (disambiguation); Payment; Welfare; Economics; Economic model; Business; Environmental resource management; Geography; Ecology; Market economy; Computer science; Microeconomics","score_opus":0.04543785205565004,"score_gpt":0.21157600938542387,"score_spread":0.16613815732977383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020279631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976645,0.0002063825,0.000062730265,0.0006895519,0.0001575218,0.0001176502,0.00005759283,0.000005444551,0.0010386043],"genre_scores_gemma":[0.9965011,0.00046259342,0.0017214126,0.000064105494,0.00021689748,0.0000032461614,0.000013206862,0.000013947389,0.001003479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99840873,0.000014352606,0.0010935126,0.00023309252,0.00001912105,0.00023121333],"domain_scores_gemma":[0.99850315,0.000025253039,0.0010923477,0.00014620565,0.000022708156,0.00021033814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033103398,0.00018584289,0.00048921,0.00009327893,0.00007632127,0.0000887561,0.00025444487,0.00012648183,0.00034409118],"category_scores_gemma":[0.0000060547027,0.00015834856,0.00015411108,0.000029218301,0.000113379625,0.00091259734,0.000023826758,0.00018452956,0.00011858456],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065015454,0.00030839824,0.3207262,0.00009468903,0.00046289322,0.0000015453659,0.0031557993,0.61631197,0.0035054896,0.042223494,0.0063611274,0.0067833583],"study_design_scores_gemma":[0.0016110898,0.0006288991,0.95158225,0.00005108126,0.00006170046,0.00016663525,0.0029779042,0.024084635,0.001448682,0.011829645,0.0048328303,0.0007246641],"about_ca_topic_score_codex":0.00015265762,"about_ca_topic_score_gemma":0.0000065765325,"teacher_disagreement_score":0.63085604,"about_ca_system_score_codex":0.00015603939,"about_ca_system_score_gemma":0.000020889986,"threshold_uncertainty_score":0.6457267},"labels":[],"label_agreement":null},{"id":"W2020332985","doi":"10.1890/09-1073.1","title":"Improved estimation of site occupancy using penalized likelihood","year":2010,"lang":"en","type":"article","venue":"Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Occupancy; Estimator; Statistics; Confidence interval; Maximum likelihood; Mathematics; Estimation; Mean squared error; Maximum likelihood sequence estimation; Econometrics; Ecology; Biology; Engineering","score_opus":0.044926312612227334,"score_gpt":0.23677458301949011,"score_spread":0.19184827040726277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020332985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99306303,0.000050386552,0.0036388943,0.00008038591,0.0005964188,0.00013577416,0.000033287553,0.000011456654,0.0023903768],"genre_scores_gemma":[0.9902355,0.000011297938,0.00943634,0.000091739064,0.00004733834,0.0000094863035,0.000026171596,0.0000111176005,0.00013097457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992228,0.000008276578,0.00041269232,0.00019391309,0.000009051215,0.00015324091],"domain_scores_gemma":[0.9994213,0.00003132758,0.00033233562,0.00017398142,0.0000062793542,0.00003479054],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032288025,0.00007350568,0.00023049685,0.00009256981,0.000045000026,0.000008060169,0.00007840711,0.00011338388,0.0021926505],"category_scores_gemma":[0.00006767814,0.000092416245,0.000056346664,0.000045690493,0.000052482013,0.00014415954,0.000036352463,0.000098091914,0.0004625407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017603083,0.00011515733,0.96372616,0.000018386638,0.000033776592,4.8107836e-7,0.0002730988,0.00077159837,0.014931732,0.018484274,0.00008776654,0.0015399557],"study_design_scores_gemma":[0.00088362827,0.000079747864,0.79577035,0.0000018668144,0.00000989131,0.000005325615,0.000015664418,0.18370415,0.0014785572,0.017400727,0.00049794116,0.00015215641],"about_ca_topic_score_codex":0.00015605995,"about_ca_topic_score_gemma":0.00012860967,"teacher_disagreement_score":0.18293256,"about_ca_system_score_codex":0.000051831623,"about_ca_system_score_gemma":0.000013634301,"threshold_uncertainty_score":0.99871945},"labels":[],"label_agreement":null},{"id":"W2020438811","doi":"10.1016/j.jhealeco.2011.11.004","title":"Using a discrete choice experiment to estimate health state utility values","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":261,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia; St. Paul's Hospital","funders":"","keywords":"Time-trade-off; Valuation (finance); Scale (ratio); EQ-5D; Econometrics; Discrete choice; Task (project management); Value (mathematics); Actuarial science; Sample (material); Psychology; Economics; Medicine; Statistics; Mathematics; Quality of life (healthcare); Health related quality of life; Geography; Finance; Nursing","score_opus":0.3610376684492279,"score_gpt":0.36379656629906204,"score_spread":0.00275889784983413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020438811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690312,0.002706125,0.024576798,0.0014338043,0.0009062356,0.00034102786,0.00007209317,0.0000108448585,0.00092186185],"genre_scores_gemma":[0.9533975,0.00092752505,0.04360499,0.0018128912,0.00012496972,0.000005698024,0.000004628784,0.00003982495,0.000081975326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968282,0.00006096994,0.0022942184,0.00032041426,0.00003059226,0.0004656248],"domain_scores_gemma":[0.9967926,0.00003316683,0.0024555067,0.0002946417,0.000017190127,0.0004068548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028129306,0.00019370444,0.00081745494,0.00024137358,0.00019409032,0.000043670178,0.00025187182,0.000049131675,0.00031436313],"category_scores_gemma":[0.0000437302,0.00022464336,0.00016335303,0.000063104075,0.00004678453,0.00050896517,0.000079103906,0.00017643336,0.00015212243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022945422,0.000674384,0.9169338,0.0002345924,0.0003144801,0.0000037896555,0.020085758,0.017646221,0.000016385651,0.013143166,0.0019637016,0.028754273],"study_design_scores_gemma":[0.002214544,0.0017786642,0.906747,0.00014613931,0.0000127286485,0.000068430156,0.000975948,0.01965904,0.0003239922,0.03904911,0.028263891,0.0007605431],"about_ca_topic_score_codex":0.0011885792,"about_ca_topic_score_gemma":0.00007626108,"teacher_disagreement_score":0.027993731,"about_ca_system_score_codex":0.0013320354,"about_ca_system_score_gemma":0.00020894292,"threshold_uncertainty_score":0.91606903},"labels":[],"label_agreement":null},{"id":"W2021835786","doi":"10.1111/j.1744-7976.2009.01156.x","title":"If You Provide It, Will They Read It? Response Time Effects in a Choice Experiment","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Cooperative State Research, Education, and Extension Service","keywords":"Respondent; Heuristics; Demographics; Reading (process); Multiple choice; Psychology; Heuristic; Statistics; Econometrics; Social psychology; Humanities; Mathematics; Sociology; Computer science; Demography; Art; Political science; Artificial intelligence; Significant difference","score_opus":0.033622401394273665,"score_gpt":0.17913916418475184,"score_spread":0.14551676279047818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021835786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764469,0.0007666595,0.0000091866195,0.016381081,0.0010721036,0.00056233874,0.00015944573,0.000010604293,0.004591635],"genre_scores_gemma":[0.99379045,0.00012830218,0.00028858057,0.0017979718,0.00064772024,0.000028001454,0.000050185427,0.000038767863,0.0032300323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996137,0.0000843283,0.0020047133,0.00068793463,0.000012825753,0.0010731708],"domain_scores_gemma":[0.9965857,0.00022686076,0.0013576925,0.00042949594,0.000044796223,0.0013554282],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001386458,0.0004897724,0.0011190075,0.0007304865,0.0001973179,0.00021675705,0.0007151934,0.00026710203,0.0009295501],"category_scores_gemma":[0.0003256468,0.00051950826,0.0003750891,0.00013910225,0.000098203374,0.0015043856,0.000029250616,0.00042479107,0.0006083518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026186276,0.0011552705,0.42797652,0.00035404201,0.0021850732,0.0012247858,0.06390424,0.14826171,0.0034307903,0.22954647,0.09871486,0.020627623],"study_design_scores_gemma":[0.0035121741,0.0016218524,0.8745268,0.0002355549,0.000047428064,0.0003847856,0.0020049575,0.0009197059,0.0002177429,0.015717646,0.0993237,0.001487661],"about_ca_topic_score_codex":0.020366367,"about_ca_topic_score_gemma":0.24248803,"teacher_disagreement_score":0.44655028,"about_ca_system_score_codex":0.006372104,"about_ca_system_score_gemma":0.00038625358,"threshold_uncertainty_score":0.9999837},"labels":[],"label_agreement":null},{"id":"W2022013064","doi":"10.1134/s0097807813020115","title":"New framework for quantifying WTP to consider equity in cost allocation of NPS pollution abatement in TMDL framework","year":2013,"lang":"en","type":"article","venue":"Water Resources","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thornhill Medical (Canada)","funders":"","keywords":"Equity (law); Environmental economics; Watershed; Willingness to pay; Business; Polluter pays principle; Pollution; Social equality; Environmental resource management; Environmental planning; Environmental science; Economics; Computer science; Microeconomics","score_opus":0.20846932339385393,"score_gpt":0.32390054108963523,"score_spread":0.1154312176957813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022013064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414741,0.00021676364,0.054636326,0.0022266444,0.00014453489,0.00081477046,0.000014159068,0.0000089468895,0.00046379174],"genre_scores_gemma":[0.98308337,0.00003290988,0.01608264,0.00041891617,0.00005680586,0.00015064007,0.000019678535,0.000016199037,0.00013885034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871874,0.000016753185,0.0006615015,0.00029690232,0.000034748995,0.0002713369],"domain_scores_gemma":[0.9995147,0.00006123401,0.00016029856,0.00019521096,0.0000058336905,0.0000627012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056296523,0.000111030604,0.00026645834,0.00021175046,0.000037282873,0.000049924663,0.00012972299,0.00013527421,0.0005819868],"category_scores_gemma":[0.000089751506,0.000113370304,0.000049544313,0.000091191374,0.0000241508,0.00019934928,0.00008483589,0.00010278048,0.0004825139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006757692,0.00017435524,0.8774062,0.000100352765,0.00004058867,4.0912033e-7,0.017731816,0.013774285,0.0011669935,0.07290991,0.0006112767,0.016016254],"study_design_scores_gemma":[0.00084284774,0.00011477734,0.71054894,0.00019751873,0.000005221195,4.387566e-7,0.0011370315,0.0025715777,0.005487185,0.26954216,0.009207459,0.0003448564],"about_ca_topic_score_codex":0.003485053,"about_ca_topic_score_gemma":0.00031024718,"teacher_disagreement_score":0.19663227,"about_ca_system_score_codex":0.00024583872,"about_ca_system_score_gemma":0.0000053619005,"threshold_uncertainty_score":0.63723475},"labels":[],"label_agreement":null},{"id":"W2022479643","doi":"10.1016/j.jenvman.2010.10.010","title":"Five propositions for improving decision making about the environment in developing communities: Insights from the decision sciences","year":2010,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Science Foundation","keywords":"Work (physics); Management science; Face (sociological concept); Natural resource; Knowledge management; Business; Political science; Computer science; Sociology; Engineering; Social science","score_opus":0.05075278670116894,"score_gpt":0.23722275599319062,"score_spread":0.1864699692920217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022479643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95719284,0.001006523,0.039723627,0.00050385855,0.00045523146,0.00057453295,0.000038912425,0.0000026400655,0.0005018426],"genre_scores_gemma":[0.96167433,0.0009096485,0.036732655,0.00049617694,0.000083380626,0.000054699383,0.000006500744,0.000014779032,0.000027841072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863493,0.00002456949,0.00082846696,0.00020189333,0.00012066311,0.00018944766],"domain_scores_gemma":[0.99860716,0.00043993018,0.00063798646,0.0002835876,0.000002036951,0.000029312025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010290596,0.00014698115,0.00020937916,0.0001323539,0.00052884,0.00011532035,0.00060870434,0.00005453801,0.00022895086],"category_scores_gemma":[0.00001812319,0.00010354783,0.000121963465,0.000061969964,0.00024137103,0.00036735408,0.00028208547,0.00025588862,0.000070369104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002807055,0.0010730168,0.42082182,0.00004979934,0.00046715848,0.000021412403,0.012167755,0.040144343,0.0013156174,0.21297666,0.00077546743,0.30990624],"study_design_scores_gemma":[0.0010554792,0.00013029961,0.8945932,0.00011705282,0.000035558653,0.0000066200464,0.0055199503,0.0052408013,0.000062613246,0.08488571,0.008139816,0.00021289219],"about_ca_topic_score_codex":0.00004812271,"about_ca_topic_score_gemma":0.00007909274,"teacher_disagreement_score":0.4737714,"about_ca_system_score_codex":0.00037384927,"about_ca_system_score_gemma":0.0000063141833,"threshold_uncertainty_score":0.42225578},"labels":[],"label_agreement":null},{"id":"W2022618053","doi":"10.5539/jgg.v5n3p55","title":"Market Behavior in Land Value According to Water Accessibility - Case Study: Three Rural Properties in México","year":2013,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capitalization; Valuation (finance); Urbanization; Natural resource economics; Agriculture; Market value; Agricultural economics; Water resource management; Business; Environmental science; Economics; Geography; Economic growth","score_opus":0.04910704391054043,"score_gpt":0.22976272201464273,"score_spread":0.1806556781041023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022618053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863225,0.00041236373,0.000020219974,0.00026526928,0.00015378238,0.0003284447,0.0000019395989,0.0000018808331,0.00018387462],"genre_scores_gemma":[0.9996809,0.000049891787,0.000087164546,0.00008988429,0.00003189967,0.00003588857,5.3528134e-7,0.000005175172,0.000018689274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989542,0.000039167393,0.0006396399,0.0001541328,0.000019005654,0.00019388157],"domain_scores_gemma":[0.9996511,0.000021523021,0.00015838006,0.00010082384,0.000010602343,0.000057620073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008561844,0.00009221608,0.00032380008,0.00044444835,0.000042025546,0.000036680125,0.000094126386,0.00006553492,0.00032079042],"category_scores_gemma":[0.000017253657,0.00007328656,0.00005758296,0.00007083994,0.00005042945,0.00039827192,0.00007866777,0.00015236017,0.000018545206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003382511,0.00021198211,0.99732184,0.0000059915865,0.000016852478,0.00007155986,0.0005384752,0.000120880664,0.00001461866,0.000021760774,0.000004827551,0.0016373742],"study_design_scores_gemma":[0.0008568018,0.0003083683,0.9936412,0.0000068955756,0.0000064027504,0.00020538285,0.001834649,0.0002842539,0.000009060079,0.0027368064,0.000014197309,0.00009597923],"about_ca_topic_score_codex":0.0049853465,"about_ca_topic_score_gemma":0.0014370234,"teacher_disagreement_score":0.0036806492,"about_ca_system_score_codex":0.000035278368,"about_ca_system_score_gemma":0.0000036389047,"threshold_uncertainty_score":0.75363857},"labels":[],"label_agreement":null},{"id":"W2022754525","doi":"10.1590/s1415-98482013000100007","title":"Uma análise de custo-benefício do museu da imagem e do som da cidade do Rio de Janeiro","year":2013,"lang":"pt","type":"article","venue":"Revista de Economia Contemporânea","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EcoMetrix","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.05944180071932123,"score_gpt":0.2292466895067895,"score_spread":0.16980488878746827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022754525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.936084,0.02031612,0.0017167042,0.0019450458,0.00092483935,0.0018718374,0.0008176168,0.000117593016,0.036206286],"genre_scores_gemma":[0.97948295,0.005544996,0.0013868787,0.001724036,0.000985712,0.0004228369,0.00022306843,0.0002951203,0.009934398],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922942,0.000277673,0.003183524,0.0021451535,0.00010199034,0.0019974962],"domain_scores_gemma":[0.9940979,0.00038263496,0.002287323,0.0020750377,0.00006036901,0.0010967464],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003242539,0.0011763306,0.002103982,0.0005948813,0.0005465818,0.0034374811,0.0013638864,0.0009318291,0.01606573],"category_scores_gemma":[0.0002885749,0.0015879113,0.0009213897,0.00025252468,0.00043150657,0.0020664686,0.0004956849,0.0010863983,0.01632809],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010215278,0.00047081235,0.8825761,0.00047098665,0.0007027089,0.00004713893,0.0027558624,0.001825269,0.00021741209,0.04675566,0.048748855,0.015327049],"study_design_scores_gemma":[0.0067352015,0.0004102657,0.45965698,0.00052996457,0.0002898779,0.00015948096,0.0023036709,0.040298924,0.00020690238,0.008648488,0.4768863,0.0038739175],"about_ca_topic_score_codex":0.0025249496,"about_ca_topic_score_gemma":0.00008151124,"teacher_disagreement_score":0.42813745,"about_ca_system_score_codex":0.0049412507,"about_ca_system_score_gemma":0.00049396395,"threshold_uncertainty_score":0.9988786},"labels":[],"label_agreement":null},{"id":"W2022966852","doi":"10.1002/hec.777","title":"If the price is right: vagueness and values clarification in contingent valuation","year":2002,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Willingness to pay; Vagueness; Payment; Valuation (finance); Contingent valuation; Willingness to accept; Actuarial science; Payment card; Value (mathematics); Economics; Scale (ratio); Microeconomics; Statistics","score_opus":0.15774409223501595,"score_gpt":0.24745550961916654,"score_spread":0.08971141738415059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022966852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97531,0.00430843,0.0007370975,0.014637731,0.0003407355,0.0005900794,0.000069857466,0.000018851066,0.003987209],"genre_scores_gemma":[0.9873385,0.007827558,0.0003496309,0.0035809744,0.00010096025,0.00006811185,0.000021758124,0.000020355646,0.0006921684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984289,0.000045133584,0.00082235585,0.00041654846,0.000018398629,0.00026868016],"domain_scores_gemma":[0.9990136,0.00006791974,0.00053802767,0.00029910853,0.000006464184,0.00007488885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015334574,0.0001327852,0.0002860508,0.00011771425,0.00020410164,0.000053120282,0.00013310631,0.00009463809,0.00052293245],"category_scores_gemma":[0.00002647634,0.00014123271,0.000043176955,0.000073054136,0.00006434469,0.00030432714,0.000037084686,0.00013954526,0.00063087366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015486181,0.00026928133,0.74318504,0.00011593925,0.00005750963,4.0964204e-7,0.014521344,0.0026611343,0.000003987171,0.20423827,0.0059059667,0.029025631],"study_design_scores_gemma":[0.00083564455,0.00006084474,0.76558423,0.00001362838,0.000004088976,0.0000037103391,0.00034891142,0.13896133,0.000020618623,0.058076926,0.035831984,0.00025808814],"about_ca_topic_score_codex":0.0003355629,"about_ca_topic_score_gemma":0.000074474025,"teacher_disagreement_score":0.14616133,"about_ca_system_score_codex":0.00046400508,"about_ca_system_score_gemma":0.000014413286,"threshold_uncertainty_score":0.8108815},"labels":[],"label_agreement":null},{"id":"W2022983717","doi":"10.1071/ea05219","title":"A decision framework for natural resource management: a case study using plant introductions","year":2006,"lang":"en","type":"article","venue":"Australian Journal of Experimental Agriculture","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Scope (computer science); Risk analysis (engineering); Natural resource management; Environmental management system; Resource (disambiguation); Environmental resource management; Natural resource; Management science; Cost–benefit analysis; Decision analysis; Computer science; Business; Economics; Ecology","score_opus":0.07148940673243842,"score_gpt":0.26904132893984145,"score_spread":0.19755192220740303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022983717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958783,0.0009359905,0.0016070069,0.00013000621,0.0008099315,0.000400029,0.00005053672,0.0000070423525,0.00018118882],"genre_scores_gemma":[0.9778051,0.000005775304,0.02075298,0.00003109912,0.0007578402,0.0000125235665,0.00001714762,0.000013367076,0.000604188],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99880236,0.000014489999,0.00070277014,0.00023744258,0.00005331745,0.00018959885],"domain_scores_gemma":[0.99923587,0.000026292424,0.0005359663,0.00012687042,0.000013625602,0.00006139672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481144,0.00015655452,0.0002734784,0.00012238807,0.00019011548,0.000076637196,0.00013933881,0.00007422797,0.00011248881],"category_scores_gemma":[0.000007664126,0.00013329083,0.0001711107,0.00011934739,0.000029139845,0.00029296053,0.000035198613,0.00017843109,0.000017026172],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016410967,0.017082386,0.32824937,0.00016077205,0.0033562914,0.0050865794,0.022027213,0.040027153,0.02079601,0.29213697,0.2666126,0.0028235675],"study_design_scores_gemma":[0.023604559,0.00582574,0.24000049,0.00068607205,0.0008018385,0.05143348,0.44751245,0.001064655,0.02367501,0.0732209,0.12812053,0.0040542777],"about_ca_topic_score_codex":0.00009565757,"about_ca_topic_score_gemma":0.000009139843,"teacher_disagreement_score":0.42548525,"about_ca_system_score_codex":0.00026649612,"about_ca_system_score_gemma":0.000002680095,"threshold_uncertainty_score":0.54354423},"labels":[],"label_agreement":null},{"id":"W2023395362","doi":"10.5751/es-05849-180449","title":"Trust and Intention to Comply with a Water Allocation Decision: The Moderating Roles of Knowledge and Consistency","year":2013,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Consistency (knowledge bases); Psychology; Social psychology; Knowledge management; Environmental resource management; Business; Computer science; Economics; Artificial intelligence","score_opus":0.03569107130899261,"score_gpt":0.20729019857450323,"score_spread":0.17159912726551063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023395362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962893,0.00042543566,0.0015312358,0.00080793165,0.000030073315,0.00017013155,0.0000031822942,0.0000029404748,0.00073977944],"genre_scores_gemma":[0.99788976,0.00020390876,0.0014311542,0.00028109783,0.000008297796,0.000028748236,0.0000048852035,0.0000034775942,0.00014869688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996002,0.00000938371,0.00017383865,0.00013838809,0.0000065444447,0.000071643335],"domain_scores_gemma":[0.9998052,0.000051219773,0.00005309982,0.000056688274,0.000010316552,0.00002345215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026176326,0.000049764247,0.0001217425,0.000013097358,0.00015765335,0.000019050043,0.000023798131,0.000048304726,0.00007639018],"category_scores_gemma":[0.00000886853,0.000034922785,0.000016736127,0.000014129872,0.0001298531,0.00010077658,0.000042438485,0.000040735824,0.000025052903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069555563,0.000032279255,0.9683205,0.00001731648,0.000045591616,3.3343003e-8,0.0125799235,0.00006119446,0.0001579807,0.015271996,0.00040475113,0.0031014618],"study_design_scores_gemma":[0.00032953106,0.00008882522,0.97743773,0.0000055428886,0.000006103651,0.0000036856823,0.0026042284,0.012908348,0.000051569372,0.0063129505,0.00019226452,0.00005919159],"about_ca_topic_score_codex":0.000034019748,"about_ca_topic_score_gemma":0.000099937635,"teacher_disagreement_score":0.0128471535,"about_ca_system_score_codex":0.000016141526,"about_ca_system_score_gemma":0.0000025029128,"threshold_uncertainty_score":0.14241098},"labels":[],"label_agreement":null},{"id":"W2024094012","doi":"10.1016/j.ccs.2012.06.007","title":"Willingness to pay for downtown public goods generated by large, sports-anchored development projects: The CVM approach","year":2012,"lang":"en","type":"article","venue":"City Culture and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Downtown; Redevelopment; Willingness to pay; Contingent valuation; Entertainment; Valuation (finance); Public good; Business; Public economics; Economics; Political science; Geography; Finance","score_opus":0.09774656638077527,"score_gpt":0.22733795617749866,"score_spread":0.1295913897967234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024094012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92532706,0.0032206464,0.06116104,0.0010758323,0.00037297115,0.0012727813,0.00024674748,0.000048774684,0.00727412],"genre_scores_gemma":[0.9868918,0.00028265695,0.0068846573,0.0015829632,0.00021393034,0.00022585179,0.00036897528,0.0000154872,0.0035336732],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899745,0.000008990585,0.00030869344,0.0002986199,0.00003678892,0.00034945892],"domain_scores_gemma":[0.9995764,0.000009653058,0.0001376035,0.00014739893,0.000014170353,0.00011476496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094328367,0.00014706707,0.00021535989,0.00001031296,0.0004199236,0.00008952764,0.00011619562,0.00014501697,0.00007018791],"category_scores_gemma":[0.000017387336,0.000102458616,0.000097657,0.00010376252,0.000031005857,0.0002608046,0.000053750147,0.00010977654,0.000015386366],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007462199,0.00038052097,0.8406337,0.000064669635,0.00019721624,2.9355464e-8,0.04086467,0.000019712586,0.00013942369,0.02340057,0.091315456,0.0029765526],"study_design_scores_gemma":[0.00055115763,0.000019340356,0.2578532,0.0000034493496,0.000012326205,0.0000010980037,0.0025869356,0.0007250993,0.00022842964,0.0002948378,0.73741674,0.00030734003],"about_ca_topic_score_codex":0.000011118473,"about_ca_topic_score_gemma":0.000003818228,"teacher_disagreement_score":0.6461013,"about_ca_system_score_codex":0.00012960387,"about_ca_system_score_gemma":0.0000144552405,"threshold_uncertainty_score":0.41781414},"labels":[],"label_agreement":null},{"id":"W2024826959","doi":"10.1080/14724049.2012.687377","title":"Dimensions of least satisfaction among protected area visitors","year":2012,"lang":"en","type":"article","venue":"Journal of Ecotourism","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Visitor pattern; Quarter (Canadian coin); Wildlife; Geography; Psychology; Marketing; Socioeconomics; Environmental resource management; Business; Sociology; Ecology","score_opus":0.057575282313696984,"score_gpt":0.20930087917349102,"score_spread":0.15172559685979403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024826959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99575126,0.00054041005,0.0012132388,0.00008790603,0.0007060528,0.00012110751,0.000011625303,0.0000041480034,0.0015642572],"genre_scores_gemma":[0.9983492,0.00014744516,0.0010022471,0.000020111976,0.0002921327,0.0000035409412,0.0000016786082,0.000012820036,0.00017083793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989718,0.000016692678,0.00073857856,0.00008020028,0.00003895345,0.00015373778],"domain_scores_gemma":[0.998556,0.00002715802,0.0011833283,0.00011562724,0.00001936956,0.00009852697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057190686,0.000085067564,0.00028672037,0.0001909898,0.000048565496,0.0000104952405,0.0000707945,0.000081251565,0.00048800785],"category_scores_gemma":[0.000057756642,0.00007877721,0.00013378558,0.0000671353,0.000037592938,0.0005892646,0.000022113476,0.00015705956,0.0000988745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009851786,0.00007523963,0.99695665,0.000006982064,0.00005235921,5.713257e-7,0.00023964005,0.0002502228,0.0004713299,0.00058521266,0.00088557345,0.0004663774],"study_design_scores_gemma":[0.00038829946,0.00008656215,0.995446,0.000021339814,0.000013376081,0.00001424681,0.000121391444,0.0001995906,0.0007691694,0.0015443596,0.0013029802,0.00009263402],"about_ca_topic_score_codex":0.000085477266,"about_ca_topic_score_gemma":0.0000055770315,"teacher_disagreement_score":0.0025979313,"about_ca_system_score_codex":0.00013095739,"about_ca_system_score_gemma":0.000009565752,"threshold_uncertainty_score":0.53433436},"labels":[],"label_agreement":null},{"id":"W2025263445","doi":"10.1016/j.tra.2012.10.003","title":"Applying valence framing to enhance the effect of information on transport-related carbon dioxide emissions","year":2012,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"European Commission","keywords":"Framing (construction); Framing effect; Sustainable transport; Valence (chemistry); Travel behavior; Negative information; Environmental economics; Psychology; Social psychology; Sustainability; Economics; Microeconomics; Engineering; Ecology; Chemistry; Persuasion","score_opus":0.1001055731690434,"score_gpt":0.36383252924955006,"score_spread":0.26372695608050667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025263445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834954,0.00038600632,0.0006739975,0.0023273237,0.00008034276,0.00087440555,0.00007695223,0.000014345691,0.012071221],"genre_scores_gemma":[0.99863386,0.00042418865,0.000109343586,0.00023193577,0.00006227514,0.0002854171,0.000039032282,0.0000094884435,0.00020448386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875814,0.00015240259,0.0005164117,0.00015448299,0.00011929006,0.0002992592],"domain_scores_gemma":[0.9980742,0.0013465161,0.00023448917,0.00018885311,0.000021668044,0.00013427659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040394072,0.000101331716,0.00017451399,0.00021963177,0.00019829499,0.000016767242,0.00010477613,0.000078426645,0.00007468603],"category_scores_gemma":[0.000862849,0.00008988361,0.00004182082,0.0003417957,0.00008376666,0.00088892377,0.000005941719,0.00027484706,0.00013144051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013214032,0.00028072024,0.6663186,0.0005419059,0.00024614882,0.0000020305592,0.05101749,0.008300609,0.0017189126,0.23684439,0.00045691535,0.03295089],"study_design_scores_gemma":[0.0008297303,0.0007319883,0.7592181,0.00014572829,0.000046578698,0.000003535612,0.00163683,0.0006544352,0.008832483,0.001537794,0.22600265,0.0003601677],"about_ca_topic_score_codex":0.0016585178,"about_ca_topic_score_gemma":0.000020796275,"teacher_disagreement_score":0.23530659,"about_ca_system_score_codex":0.000068945155,"about_ca_system_score_gemma":0.0000175354,"threshold_uncertainty_score":0.3665347},"labels":[],"label_agreement":null},{"id":"W2025363231","doi":"10.1007/s10640-008-9219-7","title":"Comparing Fuzzy and Probabilistic Approaches to Preference Uncertainty in Non-Market Valuation","year":2008,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"BIOCAP Canada","keywords":"Amenity; Fuzzy logic; Valuation (finance); Willingness to pay; Econometrics; Contingent valuation; Economics; Preference; Actuarial science; Computer science; Mathematics; Microeconomics; Artificial intelligence","score_opus":0.203194047608541,"score_gpt":0.18195668791365788,"score_spread":0.021237359694883134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025363231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987453,0.00034536675,0.00007839582,0.0002031236,0.00004392702,0.00042182163,0.000036465615,0.00000930565,0.011408634],"genre_scores_gemma":[0.99812126,0.000542722,0.00035028945,0.00014877423,0.000041035997,0.00006203373,0.000039957424,0.000020371086,0.0006735592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867976,0.000020728572,0.0004840575,0.00055645517,0.000022842683,0.00023616117],"domain_scores_gemma":[0.99948716,0.0000435318,0.00015158286,0.00018802327,4.4535258e-7,0.00012924192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044995974,0.00018313214,0.00033266624,0.0001224439,0.00014609797,0.0000306144,0.00010137451,0.000094967836,0.00012221617],"category_scores_gemma":[0.0000123230175,0.00021969528,0.000034163488,0.000031466414,0.00017614744,0.00018402078,0.00016393742,0.00012931024,0.00018413215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000392586,0.00010854824,0.95853305,0.000018480701,0.000018656036,0.0000010515795,0.002310696,0.034070484,0.000017059452,0.0031536026,0.00006940916,0.0016597143],"study_design_scores_gemma":[0.0006905564,0.000069423746,0.93272495,0.00000927589,0.0000040605983,0.000013360019,0.00042271544,0.05852771,0.000009727464,0.0056219134,0.0016298214,0.00027650618],"about_ca_topic_score_codex":0.0000895652,"about_ca_topic_score_gemma":0.000036709636,"teacher_disagreement_score":0.025808109,"about_ca_system_score_codex":0.0003015518,"about_ca_system_score_gemma":0.000004635092,"threshold_uncertainty_score":0.89589137},"labels":[],"label_agreement":null},{"id":"W2026022225","doi":"10.5539/jsd.v2n2p95","title":"A Contingent Valuation Study of Marine Parks Ecotourism: The Case of Pulau Payar and Pulau Redang in Malaysia","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Ecotourism; Willingness to pay; Visitor pattern; Tourism; Sustainable tourism; Logit; Business; Valuation (finance); Environmental resource management; Geography; Socioeconomics; Economics; Accounting","score_opus":0.036485835285183135,"score_gpt":0.2213348072655022,"score_spread":0.18484897198031908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026022225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814576,0.0004980705,0.00014843694,0.00028018391,0.00004458645,0.0004165608,8.913454e-7,0.0000012143123,0.00046427577],"genre_scores_gemma":[0.9988878,0.00013757545,0.0006728804,0.000032588916,0.000020769708,0.000008747729,0.0000016281666,0.000006751195,0.00023131086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983413,0.000041490555,0.001248495,0.00013653748,0.00005614076,0.00017599647],"domain_scores_gemma":[0.99861014,0.000035944788,0.0011273556,0.00012133614,0.0000643496,0.00004085919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026611036,0.00010136888,0.00037345596,0.00027233205,0.0000618025,0.000020699323,0.00010444633,0.000043120843,0.000059983857],"category_scores_gemma":[0.000081951104,0.000089537956,0.000042076204,0.00014046965,0.000024110686,0.00021693564,0.00006497195,0.00011931572,0.0000015362325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010298817,0.00083237706,0.9644561,0.00006451413,0.00012280137,0.00038731567,0.012661491,0.0041108304,0.000031304753,0.00458805,0.00008752664,0.012554703],"study_design_scores_gemma":[0.0015478185,0.00039183474,0.96671516,0.000020296819,0.00001814244,0.000104236715,0.022427555,0.0012037669,0.00014929891,0.007059083,0.00025942537,0.00010340739],"about_ca_topic_score_codex":0.00026302697,"about_ca_topic_score_gemma":0.00004468347,"teacher_disagreement_score":0.012451296,"about_ca_system_score_codex":0.00035201965,"about_ca_system_score_gemma":0.00005133307,"threshold_uncertainty_score":0.3651252},"labels":[],"label_agreement":null},{"id":"W2026816789","doi":"10.1111/j.1744-7976.2003.tb00171.x","title":"Duck Hunting and Wetland Conservation: Compromise or Synergy?","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wetland; Compromise; Geography; Incentive; Wildlife; Welfare economics; Profit (economics); Cost–benefit analysis; Ethnology; Environmental ethics; Political science; Ecology; Economics; Sociology; Law; Philosophy","score_opus":0.07144195971952283,"score_gpt":0.1625161228343482,"score_spread":0.09107416311482536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026816789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892289,0.0010209953,0.00002483026,0.0023728325,0.0012200971,0.00022281212,0.00014379142,0.000007360834,0.0057583526],"genre_scores_gemma":[0.9957037,0.00028278318,0.0007615699,0.000668285,0.00031281562,0.000010631602,0.000032089752,0.000032215572,0.0021958896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741435,0.00003270824,0.0014318733,0.00046044315,0.000006660388,0.00065396866],"domain_scores_gemma":[0.99728423,0.000110291716,0.0011853529,0.00023281093,0.00004976474,0.0011375666],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007823927,0.00032090754,0.0007774837,0.00032944765,0.000310544,0.00023799432,0.00029678148,0.00017361935,0.0015270454],"category_scores_gemma":[0.00020407875,0.0003130954,0.00018436306,0.0001036431,0.0001676178,0.0009014465,0.000019368286,0.0002580012,0.00015830161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053019103,0.00003912671,0.6107195,0.00008214439,0.00043585134,0.000061827974,0.0020444202,0.0043195784,0.000053728225,0.3770216,0.004433845,0.0007353369],"study_design_scores_gemma":[0.0030323812,0.0005162947,0.82387125,0.0000982078,0.00007209246,0.0019200504,0.0035285358,0.0005738946,0.00014933148,0.019355815,0.14560373,0.0012784222],"about_ca_topic_score_codex":0.019209258,"about_ca_topic_score_gemma":0.41029608,"teacher_disagreement_score":0.39108682,"about_ca_system_score_codex":0.0013474362,"about_ca_system_score_gemma":0.00027047328,"threshold_uncertainty_score":0.9999321},"labels":[],"label_agreement":null},{"id":"W2027279436","doi":"10.1016/s0305-0491(00)80048-6","title":"Measuring the bioenergetic cost of swimming in the field: a novative approach.","year":2000,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Bioenergetics; Field (mathematics); Biology; Fishery; Mathematics","score_opus":0.07626277147489031,"score_gpt":0.25507358260243573,"score_spread":0.17881081112754543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027279436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909682,0.003293588,0.00023841174,0.00037699525,0.000025316396,0.00014326838,0.000038214537,0.0000036073839,0.0049123736],"genre_scores_gemma":[0.9988798,0.00025522098,0.00009572416,0.0004901847,0.000043765034,0.000060294897,0.000090303925,0.0000041509124,0.0000805821],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990367,0.000055995682,0.0003331295,0.00038211545,0.000014850871,0.00017720292],"domain_scores_gemma":[0.999444,0.00013147693,0.00015564672,0.00023192058,0.000008222734,0.00002875416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028810243,0.00015671896,0.00029882914,0.000017865497,0.00009993437,0.000009712239,0.00018390515,0.00015203074,0.00008412411],"category_scores_gemma":[0.00003433404,0.00011966113,0.000050358576,0.000086458815,0.0005096783,0.000022915154,0.000051440908,0.00016863627,0.0000058185597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017865135,0.00030026605,0.022126146,0.00014280652,0.00019910852,0.000001715526,0.0017623052,0.00022313233,0.9606224,0.012720274,0.00040600894,0.0013172419],"study_design_scores_gemma":[0.00098577,0.00015652881,0.021355933,0.00003381947,0.000022964618,0.000026110949,0.0011654997,0.001036616,0.9618889,0.008387555,0.00451023,0.000430042],"about_ca_topic_score_codex":0.000025204223,"about_ca_topic_score_gemma":6.325693e-7,"teacher_disagreement_score":0.007911549,"about_ca_system_score_codex":0.000014803075,"about_ca_system_score_gemma":0.000008780318,"threshold_uncertainty_score":0.4879639},"labels":[],"label_agreement":null},{"id":"W2028147806","doi":"10.1007/s11116-011-9340-2","title":"Current issues in mode choice modeling","year":2011,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mode choice; Mode (computer interface); Travel behavior; Theme (computing); Operations research; Set (abstract data type); Choice set; Transport engineering; Transportation planning; Management science; Computer science; Regional science; Engineering; Economics; Sociology; Econometrics; Public transport","score_opus":0.19496448915882617,"score_gpt":0.262411203960024,"score_spread":0.06744671480119782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028147806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826634,0.0009915817,0.013567731,0.000035365763,0.00013738891,0.00009935016,0.000028074237,0.000017236805,0.0024599056],"genre_scores_gemma":[0.9985198,0.00045273567,0.00081003096,0.000023695071,0.000025684876,0.000020665395,0.00008449485,0.000010192681,0.00005274324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993218,0.0000033505082,0.0003690045,0.00018593851,0.000014148784,0.00010572931],"domain_scores_gemma":[0.9998042,0.000003699424,0.00007787909,0.00008800714,0.0000027899973,0.000023424329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012798508,0.00006562357,0.000119967444,0.00008493922,0.000019640447,0.0000052543032,0.000055594253,0.00003518341,0.00044362174],"category_scores_gemma":[0.0000033354147,0.00008638745,0.000033701406,0.00005017986,0.000009456893,0.00027800092,0.0000011727354,0.00005889935,0.00032439706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063358693,0.00007516061,0.9419984,0.000013491092,0.000004462686,3.2487048e-7,0.0033477317,0.01445373,0.000009857838,0.03896579,0.00001258665,0.0011121238],"study_design_scores_gemma":[0.00031925295,0.000012952858,0.8855248,0.00001004987,0.0000027299,5.1953844e-8,0.000067711764,0.0840562,0.000056910703,0.029370155,0.0004578645,0.00012133078],"about_ca_topic_score_codex":0.0020808927,"about_ca_topic_score_gemma":0.0007546053,"teacher_disagreement_score":0.06960247,"about_ca_system_score_codex":0.000052557614,"about_ca_system_score_gemma":0.0000027462993,"threshold_uncertainty_score":0.48573467},"labels":[],"label_agreement":null},{"id":"W2028678929","doi":"10.1139/x11-100","title":"Understanding residents’ desired approaches to manage forest access roads: a case from northeastern Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Lakehead University","funders":"Ministry of Natural Resources","keywords":"Recreation; Geography; Business; Transport engineering; Environmental planning; Environmental resource management; Socioeconomics; Political science; Sociology; Engineering; Environmental science","score_opus":0.7743255975615668,"score_gpt":0.28163446638321293,"score_spread":0.4926911311783539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028678929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98273224,0.00024362368,0.0016676929,0.00037795174,0.00028059536,0.0002458245,0.00009198402,0.0000018603693,0.014358213],"genre_scores_gemma":[0.9985828,0.000009863797,0.00033748397,0.000089108,0.00008627089,0.000010149054,0.0000121275125,0.000027699736,0.00084449205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831384,0.000050640538,0.00064330106,0.0002893948,0.000117311596,0.00058548717],"domain_scores_gemma":[0.9984037,0.00006901539,0.00024416155,0.0003030142,0.00003164765,0.0009484272],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012622379,0.00013779088,0.00029943354,0.00069111434,0.0003228084,0.00020777389,0.0006061635,0.00008069345,0.0016019397],"category_scores_gemma":[0.00009336546,0.00015806864,0.000076356584,0.0002180773,0.00010367173,0.0005021515,0.000075343,0.00038215227,0.00009189189],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027590055,0.000013090707,0.9871162,0.0000072014864,0.000067856075,0.0014121016,0.0024738049,0.000880591,1.3888217e-7,0.0066098655,0.0012872139,0.00010435535],"study_design_scores_gemma":[0.00037974594,0.00009267455,0.96689355,0.000037007107,0.0000070528226,0.00014980671,0.0014437778,0.00023782658,0.000005140146,0.029413078,0.001172819,0.00016754448],"about_ca_topic_score_codex":0.9983915,"about_ca_topic_score_gemma":0.9999648,"teacher_disagreement_score":0.022803212,"about_ca_system_score_codex":0.0052207676,"about_ca_system_score_gemma":0.001131919,"threshold_uncertainty_score":0.99931073},"labels":[],"label_agreement":null},{"id":"W2029359129","doi":"10.1016/j.trd.2007.03.001","title":"Household demand and willingness to pay for clean vehicles","year":2007,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":427,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Alexander S. Onassis Public Benefit Foundation; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Willingness to pay; Incentive; Respondent; Discrete choice; Business; Occupancy; Metropolitan area; Nested logit; Environmental economics; Alternative fuel vehicle; Economics; Microeconomics; Engineering; Econometrics; Alternative fuels","score_opus":0.17208364603972648,"score_gpt":0.2808418010829752,"score_spread":0.1087581550432487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029359129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628891,0.00039747678,0.0347507,0.00066834467,0.00006193493,0.00071164867,0.00027897305,0.00001973589,0.00022211703],"genre_scores_gemma":[0.99593014,0.001583655,0.001432288,0.00013781339,0.00007090737,0.00011789625,0.00016022235,0.000032845048,0.0005342162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998374,0.000008913522,0.0005666181,0.00052404637,0.000095908625,0.00043053276],"domain_scores_gemma":[0.9994131,0.00007845766,0.000073788804,0.00016422888,0.000006112752,0.00026432378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019328464,0.00015186795,0.00025132956,0.0001354356,0.00024715462,0.000022627944,0.000081724436,0.000096730735,0.00013215178],"category_scores_gemma":[0.0000041358335,0.00015658964,0.000055237848,0.00007290613,0.00013902689,0.00017564162,0.000004971771,0.00013793929,0.000047346322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107536296,0.00008809381,0.98303413,0.00006541894,0.000030914027,0.000003872324,0.0012480757,0.0008430731,0.00016492109,0.009863052,0.0001131107,0.0044377875],"study_design_scores_gemma":[0.00075054483,0.00016420484,0.94232684,0.000013853189,0.000010804741,4.1582297e-7,0.00031366196,0.000088659894,0.00045043995,0.0038563907,0.051820006,0.00020420188],"about_ca_topic_score_codex":0.00014981446,"about_ca_topic_score_gemma":0.00026148645,"teacher_disagreement_score":0.051706895,"about_ca_system_score_codex":0.00006404047,"about_ca_system_score_gemma":0.000005137798,"threshold_uncertainty_score":0.63855404},"labels":[],"label_agreement":null},{"id":"W2029453089","doi":"10.1016/j.jhealeco.2008.11.003","title":"Bayesian and classical estimation of mixed logit: An application to genetic testing","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; University of Aberdeen; Michael Smith Health Research BC; Genome Canada","keywords":"Mixed logit; Discrete choice; Estimation; Econometrics; Logit; Convergence (economics); Bayesian probability; Bayes' theorem; Bayes estimator; Preference; Computer science; Mathematical optimization; Mathematics; Economics; Logistic regression; Statistics","score_opus":0.14124113510701725,"score_gpt":0.2644962206624634,"score_spread":0.12325508555544618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029453089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.901975,0.00039550816,0.09631901,0.0008735936,0.00012337083,0.00014808278,0.000013502883,0.0000037853329,0.00014814375],"genre_scores_gemma":[0.94889796,0.00037732127,0.050349064,0.00026597778,0.00007701477,0.0000041738567,0.0000042892475,0.000013414049,0.000010759107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983693,0.000022445662,0.0012735794,0.00017437436,0.000017502627,0.00014281362],"domain_scores_gemma":[0.9982967,0.00005640129,0.0013295208,0.00014370268,0.000016707003,0.00015698631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007855466,0.00008648874,0.00039632406,0.00017214457,0.000081205304,0.000012491629,0.00010250371,0.000056747693,0.000015441196],"category_scores_gemma":[0.00007141373,0.00010511577,0.000041392985,0.000055968176,0.00004780457,0.0002724207,0.00002271825,0.000088036664,0.000026498257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003756343,0.00020863347,0.6695106,0.000075622425,0.00003432212,0.0000010390398,0.00089459086,0.17496592,0.000046157948,0.007585905,0.0002302944,0.14640936],"study_design_scores_gemma":[0.0004328587,0.000496479,0.8340032,0.000011929425,0.0000035716557,0.00007933065,0.00005560566,0.15576908,0.00004078568,0.008361996,0.00063375535,0.00011141485],"about_ca_topic_score_codex":0.00006819652,"about_ca_topic_score_gemma":0.000013528926,"teacher_disagreement_score":0.16449259,"about_ca_system_score_codex":0.00024164951,"about_ca_system_score_gemma":0.00006588815,"threshold_uncertainty_score":0.42864966},"labels":[],"label_agreement":null},{"id":"W2029604379","doi":"10.3141/1780-09","title":"Stated Preference Analysis of Sensitivities to Elements of Transportation and Urban Form","year":2001,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Respondent; Ranking (information retrieval); Preference; Sample (material); Transport engineering; TRIPS architecture; Population; Quality (philosophy); Revealed preference; Transportation planning; Mode choice; Business; Public transport; Economics; Engineering; Econometrics; Computer science; Microeconomics; Environmental health","score_opus":0.23525623261212664,"score_gpt":0.336531235193112,"score_spread":0.10127500258098537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029604379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947269,0.00019363247,0.0029514495,0.0005672487,0.00011188775,0.00060612377,0.00063912704,0.0000060948305,0.00019753329],"genre_scores_gemma":[0.9966999,0.0015288562,0.0012353002,0.000024943705,0.000026446894,0.000027227179,0.00008907123,0.000024120305,0.00034408827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99620676,0.00020638504,0.0021169295,0.00034795675,0.00068179873,0.00044018836],"domain_scores_gemma":[0.9974725,0.00035361294,0.00095156167,0.00031104987,0.0006989202,0.00021233011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003626312,0.00017004614,0.00068414124,0.0017801111,0.00017653912,0.000034821038,0.00038555075,0.00011356638,0.00044485088],"category_scores_gemma":[0.000070926355,0.00015947253,0.0003061001,0.0021438054,0.00034673486,0.0005585603,0.000004418125,0.00049929594,0.000008976066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055005995,0.00016431659,0.98111284,0.00010705634,0.0005403482,0.0000062406175,0.006172206,0.0025430555,0.0011768885,0.0060120006,0.00028010734,0.0013348656],"study_design_scores_gemma":[0.0008891057,0.0004982268,0.9900973,0.00009458999,0.0001307656,1.02241344e-7,0.002133243,0.0005645645,0.0011112182,0.002924233,0.0014210122,0.00013563345],"about_ca_topic_score_codex":0.0070190337,"about_ca_topic_score_gemma":0.02278029,"teacher_disagreement_score":0.015761256,"about_ca_system_score_codex":0.00016597495,"about_ca_system_score_gemma":0.000090425296,"threshold_uncertainty_score":0.9995933},"labels":[],"label_agreement":null},{"id":"W2029961042","doi":"10.1080/14888386.2005.9712773","title":"From the Tundra to Tierra del Fuego: Protecting Key Sites for Birds in Canada and throughout the Western Hemisphere","year":2005,"lang":"en","type":"article","venue":"Biodiversity","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Birds Canada","funders":"","keywords":"Habitat; Geography; Threatened species; Wildlife; Ecology; Biological dispersal; Biodiversity; Endangered species; Bird conservation; Habitat destruction; Biology; Population","score_opus":0.08124322202644856,"score_gpt":0.20813741512996245,"score_spread":0.1268941931035139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029961042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938605,0.00039164606,0.00023404072,0.004441342,0.00007237226,0.00032471068,0.0004043231,0.0000050869758,0.00026598608],"genre_scores_gemma":[0.99791986,0.000038782975,0.00037544908,0.0014159717,0.0000708851,0.0000125462075,0.0000136749895,0.0000033915837,0.0001494587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950165,0.000009995722,0.00014730613,0.0001951104,0.000018221643,0.00012772434],"domain_scores_gemma":[0.9996675,0.000084934996,0.00008256901,0.00013239766,0.0000032923265,0.000029251656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002377456,0.00006956956,0.000112180765,0.00001035099,0.00021024495,0.000032508662,0.00014099511,0.000029738261,0.000094729534],"category_scores_gemma":[0.000032436426,0.000058320835,0.000024204315,0.00003568065,0.000024639823,0.00011045348,0.00009335538,0.000067873945,0.000107167994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000909013,0.000006087401,0.993581,0.0000028117297,0.000010832925,1.2598908e-7,0.001375756,0.00019457447,0.0000096527,0.00003061682,0.0035974067,0.0011820552],"study_design_scores_gemma":[0.00035766058,0.000013871797,0.9597944,0.0000036382219,0.00000476313,3.3986296e-7,0.0014182655,0.000828225,0.00011176418,0.00029322764,0.03705777,0.000116058654],"about_ca_topic_score_codex":0.7224092,"about_ca_topic_score_gemma":0.7475128,"teacher_disagreement_score":0.033786573,"about_ca_system_score_codex":0.00037531482,"about_ca_system_score_gemma":0.00002267913,"threshold_uncertainty_score":0.27943933},"labels":[],"label_agreement":null},{"id":"W2030192796","doi":"10.1016/j.foodqual.2012.10.008","title":"Measuring consumer resistance to a new food technology: A choice experiment in meat packaging","year":2012,"lang":"en","type":"article","venue":"Food Quality and Preference","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Neophobia; Marketing; Business; Perception; Food safety; Quality (philosophy); Food packaging; Novel food; Willingness to pay; Food quality; Emerging technologies; Resistance (ecology); Food science; Psychology; Economics; Computer science","score_opus":0.4382954292074471,"score_gpt":0.29146767020325615,"score_spread":0.14682775900419093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030192796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98493665,0.008221385,0.0010689938,0.000818838,0.00009228385,0.00023638071,0.00003397891,0.00002845247,0.0045630136],"genre_scores_gemma":[0.9973788,0.00012542374,0.0017947457,0.00024189055,0.00003980591,0.00005221969,0.000003843308,0.000010636658,0.00035262233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884105,0.000029386623,0.00045214876,0.0003327584,0.000035965146,0.0003087161],"domain_scores_gemma":[0.9994072,0.000059799222,0.0001353874,0.0002562721,0.000004913034,0.00013645401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058479427,0.00013081034,0.0002774125,0.0001521055,0.00006707766,0.000031284955,0.00011568959,0.00009524533,0.00011182873],"category_scores_gemma":[0.0001458598,0.00015976948,0.000026425974,0.00014517069,0.000038101796,0.0002920292,0.000096469244,0.00012751072,0.00019341963],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015836273,0.00006770047,0.91269535,0.000031692733,0.000027314065,4.9582994e-8,0.0024408584,0.000009091238,0.00018769708,0.08333497,0.00007789664,0.0011115548],"study_design_scores_gemma":[0.0008335544,0.00013040107,0.9520883,0.000087359535,0.0000055242685,7.981023e-7,0.0006062318,0.000011965939,0.0056072464,0.025054775,0.015155678,0.00041818595],"about_ca_topic_score_codex":0.00016252651,"about_ca_topic_score_gemma":0.0006169609,"teacher_disagreement_score":0.058280192,"about_ca_system_score_codex":0.000113858616,"about_ca_system_score_gemma":0.000008687541,"threshold_uncertainty_score":0.651521},"labels":[],"label_agreement":null},{"id":"W2030402249","doi":"10.1139/f02-108","title":"Reference priors for Bayesian fisheries models","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prior probability; Bayesian probability; Econometrics; Population; Bayesian inference; Consistency (knowledge bases); Computer science; Posterior predictive distribution; Statistics; Mathematics; Artificial intelligence; Bayesian linear regression","score_opus":0.16729739251485845,"score_gpt":0.2075451816496231,"score_spread":0.04024778913476465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030402249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542106,0.0040122173,0.0063660005,0.0064757713,0.0004247334,0.00014715294,0.000038952203,0.0000036160534,0.028320983],"genre_scores_gemma":[0.9947204,0.0002969907,0.0039060134,0.00029605144,0.00004748074,0.0000037934744,9.097763e-7,0.00000564213,0.0007227301],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920976,0.000006895875,0.00040145163,0.00014754367,0.000028578655,0.00020578787],"domain_scores_gemma":[0.99939805,0.000052561387,0.00027312728,0.000067659676,0.000007919097,0.00020066412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004854769,0.00007907632,0.00020487054,0.0001326891,0.00028572057,0.00017787002,0.00017469395,0.000041621588,0.00068648346],"category_scores_gemma":[0.00009491242,0.000077641824,0.00004587886,0.000082850886,0.00035928012,0.0007076368,0.0000064707096,0.0000534423,0.000011766515],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000087773515,0.000030917356,0.82171553,0.000045052904,0.0000642821,0.0000069847815,0.008409791,0.0005275252,0.000009463889,0.121565424,0.01939097,0.028225265],"study_design_scores_gemma":[0.0011647174,0.0014366171,0.0998317,0.00010622278,0.000034304565,0.00009905833,0.006679738,0.23899683,0.00005512912,0.506356,0.14438698,0.0008526846],"about_ca_topic_score_codex":0.0012746205,"about_ca_topic_score_gemma":0.0028304486,"teacher_disagreement_score":0.72188383,"about_ca_system_score_codex":0.000059304843,"about_ca_system_score_gemma":0.00005131196,"threshold_uncertainty_score":0.7516513},"labels":[],"label_agreement":null},{"id":"W2030584440","doi":"10.1016/j.ecolecon.2014.07.014","title":"Understanding the heterogeneity of social preferences for fire prevention management","year":2014,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Consejo Superior de Investigaciones Científicas","keywords":"Mixed logit; Preference; Population; Constraint (computer-aided design); Quarter (Canadian coin); Fire protection; Economics; Geography; Public economics; Econometrics; Natural resource economics; Environmental resource management; Microeconomics; Logistic regression; Engineering; Statistics; Mathematics; Demography","score_opus":0.32320742510127143,"score_gpt":0.2597427725744224,"score_spread":0.06346465252684902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030584440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.952424,0.0000306783,0.028220443,0.00040523405,0.00022014874,0.00039161343,0.00004228225,0.000012175304,0.018253442],"genre_scores_gemma":[0.998485,0.000091257156,0.0007924736,0.0001631223,0.00007335747,0.00008619525,0.000025934307,0.000008471778,0.00027413724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990727,0.000021620988,0.00047480446,0.0002571325,0.0000101061205,0.00016369013],"domain_scores_gemma":[0.9993703,0.0001004599,0.0003725709,0.00012946094,0.0000032634116,0.000023988416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007817459,0.00009368693,0.00024567722,0.00002934849,0.00018009442,0.000027997137,0.00018656238,0.00008876202,0.00031793973],"category_scores_gemma":[0.000022882388,0.00008538206,0.00014772438,0.000025475056,0.00009451917,0.00010173992,0.00006736037,0.000049118524,0.00007593456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019139972,0.00011198893,0.031278055,0.000028930952,0.00008559281,3.1379354e-8,0.00011963563,0.0022584144,0.0000013815924,0.96298987,0.00034291542,0.0027640737],"study_design_scores_gemma":[0.00070475787,0.00022456309,0.3398373,0.0000029265605,0.000017541464,4.7960253e-7,0.0002832045,0.023652563,0.000033483117,0.6295345,0.0055342973,0.00017440358],"about_ca_topic_score_codex":0.00000290704,"about_ca_topic_score_gemma":0.00002063456,"teacher_disagreement_score":0.33345538,"about_ca_system_score_codex":0.00022024765,"about_ca_system_score_gemma":0.000003352558,"threshold_uncertainty_score":0.34817794},"labels":[],"label_agreement":null},{"id":"W2030775276","doi":"10.1111/1467-8306.93106","title":"Accounting for the Environmental “Bottom Line” along the U.S.-Mexico Border","year":2003,"lang":"en","type":"article","venue":"Annals of the Association of American Geographers","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; McMaster University","funders":"","keywords":"Recreation; Environmental accounting; Tourism; Agriculture; Agricultural economics; Government (linguistics); Geography; Value (mathematics); Environmental protection; Economics; Business; Accounting; Ecology","score_opus":0.043240728856549386,"score_gpt":0.24979401811528934,"score_spread":0.20655328925873995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030775276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904547,0.0009510175,0.00048187503,0.005904108,0.0002428303,0.00037933997,0.000145848,0.0000058653154,0.0014344269],"genre_scores_gemma":[0.9971075,0.00072313286,0.0002024269,0.0014292137,0.00003086876,0.000033934903,0.000006858993,0.000014759287,0.0004512947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900675,0.000050262617,0.0004918057,0.00016662035,0.00007720592,0.0002073691],"domain_scores_gemma":[0.9976761,0.0003542308,0.001634434,0.00030138972,0.000015179776,0.000018703233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015832303,0.00010181661,0.00022675341,0.000043783133,0.00021305885,0.000021334165,0.00030829007,0.00004321605,0.00014660775],"category_scores_gemma":[0.00026149218,0.00007155352,0.0003365768,0.00019668337,0.00023083983,0.00011057663,0.00003768228,0.00009851711,0.000017084172],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046895393,0.000041488413,0.99213076,0.000002434835,0.00021963095,4.215313e-9,0.00024339523,0.0014994927,0.00002319607,0.0029740196,0.0014153606,0.0014455034],"study_design_scores_gemma":[0.00024305815,0.000050251798,0.97080195,0.0000038149083,0.000027805276,1.4339064e-7,0.0011633455,0.000633738,0.00059601356,0.0020709597,0.024308855,0.00010006618],"about_ca_topic_score_codex":0.00047259495,"about_ca_topic_score_gemma":0.000033566015,"teacher_disagreement_score":0.022893494,"about_ca_system_score_codex":0.000053075873,"about_ca_system_score_gemma":0.000010021642,"threshold_uncertainty_score":0.2917868},"labels":[],"label_agreement":null},{"id":"W2030911862","doi":"10.5539/jas.v5n4p31","title":"Estimating Farmers’ Willingness to Pay for Improved Irrigation: An Economic Study of the Bontanga Irrigation Scheme in Northern Ghana","year":2013,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Payment; Irrigation; Lease; Agricultural economics; Interview; Business; Estimation; Valuation (finance); Agricultural science; Economics; Socioeconomics; Environmental science; Finance; Microeconomics","score_opus":0.04164848414713986,"score_gpt":0.23156651983163484,"score_spread":0.18991803568449497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030911862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978458,0.000014066371,0.00031397218,0.00071342307,0.00044386898,0.00055951177,0.000005104048,0.0000021391988,0.000102095044],"genre_scores_gemma":[0.9964367,9.232042e-7,0.0033597064,0.00004576393,0.0000958874,0.000019684647,0.0000012341703,0.0000040558234,0.00003604822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886304,0.000012753707,0.00072343234,0.00019252916,0.000050917282,0.00015729835],"domain_scores_gemma":[0.9988647,0.000028486696,0.0008528785,0.00011789843,0.00006225925,0.00007374916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009110429,0.000084900996,0.00020897473,0.00007436469,0.00014402598,0.00007995768,0.0003712972,0.000027114329,0.000025899944],"category_scores_gemma":[0.00008522998,0.000050639163,0.0000592257,0.0002009386,0.000049667964,0.0012013474,0.000043454358,0.00007985497,0.000017434213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007996242,0.00017293623,0.9544083,0.000007806716,0.000014096539,5.961488e-8,0.0035842555,0.02863388,0.010416507,0.00088513957,0.000024360132,0.0018446522],"study_design_scores_gemma":[0.00043829964,0.00027376454,0.9819428,0.000015388634,0.0000035812313,0.0000029717935,0.0032123853,0.011918062,0.0003895991,0.0017044074,0.000006406719,0.00009233831],"about_ca_topic_score_codex":0.00055663683,"about_ca_topic_score_gemma":0.0010945551,"teacher_disagreement_score":0.027534483,"about_ca_system_score_codex":0.00044310882,"about_ca_system_score_gemma":0.000035022265,"threshold_uncertainty_score":0.20650052},"labels":[],"label_agreement":null},{"id":"W2031768041","doi":"10.5539/ibr.v4n3p161","title":"Thai Consumers Willingness to Pay for Food Products with Geographical Indications","year":2011,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Mahidol University; Mahidol University International College","keywords":"Product (mathematics); Willingness to pay; Business; Country of origin; Geographical indication; Food labeling; Christian ministry; Food products; Agricultural science; Certification; Sign (mathematics); Marketing; Advertising; Economics; Food science; Mathematics; Geography; Chemistry; Microeconomics; Biology","score_opus":0.28199699869502315,"score_gpt":0.30986001808200114,"score_spread":0.027863019386977994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031768041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9574276,0.00009633337,0.023974007,0.0069192895,0.0004258081,0.0008426683,0.0003483625,0.000026672931,0.009939225],"genre_scores_gemma":[0.99425274,0.00005664269,0.0042418423,0.000121369514,0.000105174084,0.00045313666,0.00008412379,0.00002324049,0.0006617385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988885,0.000013388584,0.0002995236,0.00043189235,0.0001074323,0.00025929534],"domain_scores_gemma":[0.99927586,0.000073110496,0.00009840573,0.00023044675,0.00024127994,0.00008086692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076993764,0.00009260198,0.00014070372,0.00041061372,0.00014645688,0.000060634145,0.0003659748,0.000057433645,0.0005076391],"category_scores_gemma":[0.00028158526,0.00008377136,0.000031298234,0.00044842242,0.00013872402,0.0002526459,0.00008416256,0.00013102278,0.00048785642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093359275,0.00019775431,0.9216973,0.00001869385,0.000099564,6.064843e-7,0.0004473747,0.00005794727,0.000033631255,0.07595343,0.00045818533,0.0009421166],"study_design_scores_gemma":[0.0004371459,0.00011899434,0.9632423,0.000014932583,0.0000026812384,0.0000029615353,0.000088581925,0.000107017215,0.00029029368,0.015441293,0.020113466,0.00014031753],"about_ca_topic_score_codex":0.00019904827,"about_ca_topic_score_gemma":0.00006912728,"teacher_disagreement_score":0.060512137,"about_ca_system_score_codex":0.00012365251,"about_ca_system_score_gemma":0.000044146895,"threshold_uncertainty_score":0.627057},"labels":[],"label_agreement":null},{"id":"W2031916895","doi":"10.3390/su3060897","title":"Low Discounting Behavior among Small-Scale Fishers in Fiji and Sabah, Malaysia","year":2011,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Pew Charitable Trusts","keywords":"Discounting; Scale (ratio); Fisheries management; Great barrier reef; Fishery; Geography; Economics; Fishing; Business; Reef; Biology","score_opus":0.04866086566233193,"score_gpt":0.1986342839245367,"score_spread":0.14997341826220476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031916895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957987,0.00007648023,0.00021131108,0.00013249618,0.00007808766,0.00040163242,0.000014874034,0.00001612381,0.0032702785],"genre_scores_gemma":[0.9988971,0.000016407559,0.0002791197,0.0000421681,0.000018061706,0.000092297276,0.000008592751,0.000014581542,0.00063170126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988381,0.00001864862,0.00043472432,0.00041674834,0.000016112153,0.00027566648],"domain_scores_gemma":[0.99950653,0.000019304453,0.00014441651,0.00025477065,0.000012383632,0.00006257692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064754754,0.00012120482,0.00022852008,0.00008779212,0.000060048493,0.000041003743,0.000103501625,0.000089613895,0.00041908462],"category_scores_gemma":[0.00008774108,0.00014947593,0.00005440974,0.00007979472,0.00015004,0.00050558924,0.000089660316,0.00012326948,0.000028774839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070437923,0.00012955168,0.99502516,0.00004360452,0.0000036663962,0.0000026674677,0.0013177576,0.000029241635,0.0000016925255,0.0023202521,0.000011223041,0.0011081249],"study_design_scores_gemma":[0.0002931947,0.000030847037,0.9802768,0.0000044509175,0.0000043903465,7.170645e-7,0.001327803,0.000572215,0.000043675253,0.017213024,0.00006527922,0.00016760301],"about_ca_topic_score_codex":0.0027586995,"about_ca_topic_score_gemma":0.0006174895,"teacher_disagreement_score":0.014892772,"about_ca_system_score_codex":0.00077589724,"about_ca_system_score_gemma":0.000015724112,"threshold_uncertainty_score":0.6095452},"labels":[],"label_agreement":null},{"id":"W2032385943","doi":"10.3166/ria.20.411-432","title":"Processus de décision markoviens et préférences non classiques","year":2006,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Philosophy; Humanities; Sociology","score_opus":0.07751275365172593,"score_gpt":0.25765116825098516,"score_spread":0.18013841459925922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032385943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5468151,0.024407681,0.19122909,0.011278001,0.0024768407,0.0006618595,0.00013017013,0.000056137178,0.22294511],"genre_scores_gemma":[0.8707615,0.0060188132,0.0022921802,0.0002392005,0.00033481672,0.00004029769,0.00005078641,0.00003507596,0.120227344],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769,0.00004777706,0.000974318,0.0006781422,0.00005062177,0.00055912405],"domain_scores_gemma":[0.998584,0.00012119827,0.0006546727,0.000521413,0.000027738537,0.00009101429],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012353907,0.00026119532,0.0004141584,0.00014566473,0.00031069326,0.00027306424,0.0004177108,0.00025969205,0.0020253537],"category_scores_gemma":[0.00010974264,0.00035323508,0.00018480238,0.0001409626,0.00037064555,0.00064142165,0.00011418366,0.0002706667,0.0036276716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058423713,0.0013075873,0.42773825,0.00062851334,0.000077758246,0.000044807177,0.0037707668,0.24098487,0.0004227977,0.17283434,0.022652475,0.1294794],"study_design_scores_gemma":[0.000136129,0.00026858904,0.08132156,0.00047659533,0.000032441916,0.000036941165,0.0009875975,0.6597828,0.009245578,0.08066497,0.166271,0.00077577913],"about_ca_topic_score_codex":0.0021125712,"about_ca_topic_score_gemma":0.000465173,"teacher_disagreement_score":0.41879794,"about_ca_system_score_codex":0.00038008578,"about_ca_system_score_gemma":0.000058412978,"threshold_uncertainty_score":0.99989194},"labels":[],"label_agreement":null},{"id":"W2033166018","doi":"10.2165/11537870-000000000-00000","title":"Adaptive Choice-Based Conjoint Analysis","year":2010,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McMaster Children's Hospital","funders":"McMaster University","keywords":"Heuristics; Conjoint analysis; Set (abstract data type); Task (project management); Computer science; Selection (genetic algorithm); Management science; Artificial intelligence; Mathematics; Management; Preference; Statistics; Engineering; Economics","score_opus":0.07614044450916894,"score_gpt":0.19928538358241452,"score_spread":0.12314493907324557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033166018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97670394,0.00006388254,0.0050535407,0.00015160065,0.00030495587,0.00011810096,0.000077237826,0.000017638025,0.017509118],"genre_scores_gemma":[0.99796706,0.0000033647323,0.0014289827,0.0003420442,0.00003637003,0.000029833373,0.00004564011,0.000008925018,0.00013776406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992685,0.0000058132127,0.00031888863,0.0002516067,0.000021156566,0.00013406483],"domain_scores_gemma":[0.99946475,0.000031169464,0.00020384678,0.00023283703,0.000006256151,0.00006112519],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014910432,0.00008300979,0.00019478943,0.00015469157,0.000054641183,0.000019035866,0.000072498915,0.000051936186,0.002960143],"category_scores_gemma":[0.000030393583,0.0000963331,0.00013286492,0.00012936947,0.000039271632,0.000077584686,0.000021924521,0.00009938713,0.0014760228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055582545,0.00011127733,0.9743479,0.0000020008324,0.00013936269,3.833151e-7,0.00018006128,0.0040592276,0.000059792772,0.018999554,0.0002109306,0.0018839333],"study_design_scores_gemma":[0.0003772179,0.0001030582,0.92584527,0.0000012054936,0.000039524326,1.6196974e-7,0.000040953706,0.05715709,0.0005083457,0.002470225,0.0132499,0.00020705516],"about_ca_topic_score_codex":0.0002862512,"about_ca_topic_score_gemma":0.00015006677,"teacher_disagreement_score":0.053097866,"about_ca_system_score_codex":0.000070355316,"about_ca_system_score_gemma":0.0000055184464,"threshold_uncertainty_score":0.99930143},"labels":[],"label_agreement":null},{"id":"W2033378556","doi":"10.1111/j.1744-7976.2006.00067.x","title":"Marketing Opportunities for Certified Pork Chops","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"U.S. Department of Agriculture","keywords":"Certification; Business; Consumer demand; Credence; Agricultural science; Production (economics); Marketing; Welfare economics; Economics; Management","score_opus":0.1324830772113936,"score_gpt":0.16373797496367568,"score_spread":0.031254897752282074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033378556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97808146,0.0009919391,0.000088913686,0.0048000384,0.0018972747,0.00035400066,0.00071147026,0.00001116738,0.013063742],"genre_scores_gemma":[0.9917663,0.00011573481,0.000749086,0.00040697266,0.0013555394,0.00003412973,0.00020035313,0.000048801932,0.0053231027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99678177,0.000026426198,0.0018583938,0.00046168765,0.0000067974993,0.0008649088],"domain_scores_gemma":[0.9970391,0.00015600474,0.0015967858,0.00026069398,0.00007986792,0.0008675558],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001283312,0.0003507612,0.0008206541,0.00045483,0.00033111533,0.00023813175,0.0004975448,0.00020072806,0.0008417456],"category_scores_gemma":[0.00011830022,0.00038768255,0.00046161845,0.00007452536,0.00013648596,0.00085000216,0.000021100654,0.00021028834,0.00011240302],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019654009,0.00009853174,0.20411032,0.00020876924,0.0007189669,0.00007297336,0.0012101285,0.028625844,0.000099844234,0.6869945,0.07238479,0.005278814],"study_design_scores_gemma":[0.0020398877,0.0003271431,0.7393418,0.00008031191,0.000072108545,0.00038177494,0.0030139708,0.0006087757,0.00009765782,0.041776355,0.21103247,0.0012277284],"about_ca_topic_score_codex":0.022661636,"about_ca_topic_score_gemma":0.29809484,"teacher_disagreement_score":0.64521813,"about_ca_system_score_codex":0.0024854243,"about_ca_system_score_gemma":0.00026852582,"threshold_uncertainty_score":0.9998575},"labels":[],"label_agreement":null},{"id":"W2034073509","doi":"10.1002/pa.23","title":"Consumers' search behaviour for GM food information","year":2005,"lang":"en","type":"article","venue":"Journal of Public Affairs","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Genome Prairie; Canada Research Chairs; Genome Canada","keywords":"Construct (python library); Hyperlink; Sample (material); Marketing; Advertising; Business; Economics; Computer science; World Wide Web; Web page","score_opus":0.11880742616212321,"score_gpt":0.2359174005480167,"score_spread":0.11710997438589348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034073509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92437387,0.0006623187,0.053671915,0.00581206,0.00043981973,0.0002551855,0.00011665547,0.000011275398,0.014656887],"genre_scores_gemma":[0.99531984,0.00009055379,0.004064467,0.00012521756,0.0001550179,0.0000068278987,0.000017259154,0.000008860517,0.00021192503],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998934,0.000010065617,0.00074666255,0.000076507175,0.000045711065,0.00018710617],"domain_scores_gemma":[0.9991349,0.00003614524,0.0005778188,0.00009916609,0.000047308673,0.000104674225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013183645,0.00007580415,0.00020417807,0.00027536062,0.00006709333,0.00009209979,0.0001593906,0.00007037654,0.0005695882],"category_scores_gemma":[0.000088524,0.00008345653,0.00014020898,0.00006406281,0.000035308312,0.0018925571,0.000023399209,0.00011471119,0.00032286835],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047467398,0.00033455688,0.6671297,0.00004095641,0.00030216988,5.6863996e-7,0.0022558982,0.0016350902,0.00002881992,0.24625605,0.016577521,0.065391175],"study_design_scores_gemma":[0.007120877,0.0014043839,0.45004606,0.000025321533,0.000048864535,0.00008542244,0.008151529,0.009012269,0.0005420824,0.009514465,0.5133945,0.00065424875],"about_ca_topic_score_codex":0.000006263697,"about_ca_topic_score_gemma":0.000008765343,"teacher_disagreement_score":0.49681693,"about_ca_system_score_codex":0.00027614215,"about_ca_system_score_gemma":0.000037688427,"threshold_uncertainty_score":0.62365913},"labels":[],"label_agreement":null},{"id":"W2034195460","doi":"10.1002/env.990","title":"A missing values imputation method for time series data: an efficient method to investigate the health effects of sulphur dioxide levels","year":2009,"lang":"en","type":"article","venue":"Environmetrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Missing data; Imputation (statistics); Statistics; Poisson regression; Computer science; Poisson distribution; Econometrics; Data mining; Mathematics; Medicine; Environmental health","score_opus":0.11809842863292576,"score_gpt":0.31281003278663944,"score_spread":0.1947116041537137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034195460","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14011925,0.0011627406,0.8551212,0.002256956,0.00013177039,0.00080664764,0.000287059,0.000023270253,0.00009108211],"genre_scores_gemma":[0.230668,0.00009731045,0.7665092,0.0019232909,0.00012339713,0.00003258281,0.00019658727,0.000043806234,0.0004058496],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99807996,0.00016696888,0.0007392544,0.0006181724,0.00007748912,0.00031816962],"domain_scores_gemma":[0.9979383,0.00060474634,0.00056468253,0.0007208855,0.0000069713506,0.00016441847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041961796,0.00019636066,0.00048768643,0.00030912278,0.00021249118,0.00005109579,0.0004269054,0.00008544645,0.000028003602],"category_scores_gemma":[0.0006876291,0.00019219363,0.000085591695,0.00039530324,0.00005602082,0.00036076386,0.00010986702,0.00010399027,0.000092943934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015997593,0.0010233211,0.01320045,0.00037874695,0.00022043035,0.0000023511543,0.009039562,0.35211128,0.010952608,0.041021015,0.002737553,0.5691527],"study_design_scores_gemma":[0.001403233,0.0018759973,0.60947263,0.000048135735,0.00007065087,0.000007498395,0.00021356414,0.30513927,0.01445714,0.057487942,0.0090929,0.00073104305],"about_ca_topic_score_codex":0.00008223424,"about_ca_topic_score_gemma":0.0000015535051,"teacher_disagreement_score":0.5962722,"about_ca_system_score_codex":0.00023786064,"about_ca_system_score_gemma":0.000024392082,"threshold_uncertainty_score":0.7837429},"labels":[],"label_agreement":null},{"id":"W2034251277","doi":"10.1111/j.1744-7976.2005.04018.x","title":"Systematic Variation in Willingness to Pay for Aquatic Resource Improvements and Implications for Benefit Transfer: A Meta‐Analysis","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":203,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Willingness to pay; Meta-analysis; Context (archaeology); Econometrics; Salient; Variance (accounting); Resource (disambiguation); Preference; Economics; Variation (astronomy); Reliability (semiconductor); Welfare; Estimation; Public economics; Computer science; Microeconomics; Geography","score_opus":0.06914133737491117,"score_gpt":0.18893916161437124,"score_spread":0.11979782423946007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034251277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831275,0.00126985,0.003604125,0.009072915,0.0001897371,0.0015469459,0.0011007095,0.000004318779,0.00008393385],"genre_scores_gemma":[0.99638677,0.00006341757,0.0017789676,0.0006498232,0.00020724525,0.00041586618,0.00008965802,0.00002766263,0.0003806117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9971284,0.00001617561,0.0018185889,0.0004832799,0.0000054830593,0.00054806407],"domain_scores_gemma":[0.998043,0.00022317765,0.0007106603,0.0002407901,0.000047458212,0.0007349045],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011250494,0.00027360674,0.0013756045,0.0006607258,0.00018476529,0.00015491304,0.00032645892,0.00012858599,0.00006970274],"category_scores_gemma":[0.00009089218,0.00025293685,0.00063426024,0.00019068645,0.000028345383,0.0005703423,0.000011140192,0.00010789195,0.000015738337],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013059683,0.0001768705,0.076800555,0.002441925,0.055227637,0.0000029575651,0.012827642,0.3930379,0.00012438794,0.45699,0.0005381852,0.0017013496],"study_design_scores_gemma":[0.003836841,0.0008995754,0.91143924,0.00018186474,0.017213628,0.00009668237,0.0016491788,0.012497599,0.00005661264,0.04348564,0.0069309166,0.0017121985],"about_ca_topic_score_codex":0.008798821,"about_ca_topic_score_gemma":0.5738612,"teacher_disagreement_score":0.8346387,"about_ca_system_score_codex":0.0019233528,"about_ca_system_score_gemma":0.0000921626,"threshold_uncertainty_score":0.9999923},"labels":[],"label_agreement":null},{"id":"W2034264904","doi":"10.1002/1099-1050(200006)9:4<295::aid-hec520>3.0.co;2-d","title":"Willingness to pay for improved respiratory and cardiovascular health: a multiple-format, stated-preference approach","year":2000,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Public Works and Government Services Canada; Government of Canada","keywords":"Willingness to pay; Preference; Index (typography); Econometrics; Preference elicitation; EQ-5D; Health economics; Actuarial science; Psychological intervention; Revealed preference; Quality-adjusted life year; Marginal utility; Medicine; Health care; Statistics; Economics; Computer science; Mathematics; Cost effectiveness; Microeconomics","score_opus":0.19335191888245326,"score_gpt":0.24849676681182475,"score_spread":0.05514484792937149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034264904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.951996,0.008919643,0.029101549,0.0025585918,0.0004593214,0.003464191,0.0014892619,0.00009806239,0.001913333],"genre_scores_gemma":[0.953249,0.012363868,0.01765868,0.014611308,0.000301127,0.00081414805,0.00028137764,0.00012618424,0.0005943553],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99740726,0.000033816956,0.0011624099,0.0007696989,0.000017055878,0.0006097762],"domain_scores_gemma":[0.99867016,0.000055880086,0.00033854737,0.00052516017,0.000009662571,0.00040057706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017718682,0.0002435558,0.0008038933,0.00011713707,0.0003194886,0.00007408109,0.00018526532,0.00011136622,0.00009369665],"category_scores_gemma":[0.000026791147,0.00027871985,0.00016363137,0.00006813024,0.000043859527,0.00033406538,0.000047628742,0.00014653854,0.00021116898],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037708844,0.00039142006,0.14060111,0.0011896831,0.00053975655,2.9157516e-7,0.006163915,0.048967924,0.0000027457156,0.017322354,0.006017532,0.7784262],"study_design_scores_gemma":[0.0032052489,0.00060214725,0.10020748,0.000027285574,0.000009030824,0.00000618165,0.0003215919,0.11387029,0.00000912964,0.003181848,0.77781177,0.0007480273],"about_ca_topic_score_codex":0.0007735047,"about_ca_topic_score_gemma":0.00011300514,"teacher_disagreement_score":0.77767813,"about_ca_system_score_codex":0.00053867383,"about_ca_system_score_gemma":0.00011412539,"threshold_uncertainty_score":0.9999665},"labels":[],"label_agreement":null},{"id":"W2034460486","doi":"10.1080/14927713.2005.9651336","title":"Examining policy preferences of recreationists: A case of a fisheries management plan","year":2005,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Laurentian University; Ministry of Natural Resources and Forestry","funders":"Ministry of Natural Resources","keywords":"Recreational fishing; Preference; Recreation; Choice modelling; Fishing; Fisheries management; Plan (archaeology); Revealed preference; Latent class model; Business; Discrete choice; Fishery; Economics; Marketing; Geography; Computer science; Microeconomics; Econometrics; Ecology","score_opus":0.13518295519137394,"score_gpt":0.24021639920703902,"score_spread":0.10503344401566508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034460486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9350728,0.00028272165,0.0002964909,0.0002581541,0.000046201196,0.00016486831,0.00008165325,0.000012318245,0.06378482],"genre_scores_gemma":[0.99532354,0.000266857,0.0030285905,0.000038174392,0.00006981718,0.000026048503,0.000025044694,0.00001144415,0.0012104559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999041,0.000012608308,0.0005631343,0.00022123568,0.000026093649,0.00013591167],"domain_scores_gemma":[0.9993155,0.000030694056,0.00039018158,0.00022007374,0.000008047974,0.00003548893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030559686,0.00009929543,0.00027743145,0.000154763,0.00005064565,0.000017934008,0.00010749331,0.000056768848,0.00044511977],"category_scores_gemma":[0.000022552504,0.00011589971,0.000048504913,0.000103691,0.00007438232,0.0002119075,0.000046033943,0.00004563928,0.000082003404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029033547,0.00018566758,0.78260547,0.00015477145,0.00015777414,0.000007589523,0.0021902497,0.0009097898,0.0000668626,0.19036746,0.0005052698,0.022820057],"study_design_scores_gemma":[0.0017158724,0.0003773888,0.9267286,0.0001040212,0.000043202526,0.00007597264,0.0027443606,0.0020041354,0.0025982182,0.02458662,0.038483918,0.0005376674],"about_ca_topic_score_codex":0.00091602205,"about_ca_topic_score_gemma":0.00020194305,"teacher_disagreement_score":0.16578084,"about_ca_system_score_codex":0.00011988404,"about_ca_system_score_gemma":0.000010171118,"threshold_uncertainty_score":0.48737496},"labels":[],"label_agreement":null},{"id":"W2034929555","doi":"10.3808/jei.200900137","title":"Accounting for the Influence of Geographic Location and Spatial Autocorrelation in Environmental Models: A Comparative Analysis Using North American Songbirds","year":2009,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"U.S. Geological Survey; University of Calgary","keywords":"Spatial analysis; Autocorrelation; Residual; Contrast (vision); Breeding bird survey; Goodness of fit; Statistics; Geography; Logistic regression; Econometrics; Generalized additive model; Mathematics; Ecology; Computer science; Habitat; Artificial intelligence","score_opus":0.04913453709627097,"score_gpt":0.22963233648373382,"score_spread":0.18049779938746285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034929555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95278394,0.00019358746,0.046649836,0.000025887372,0.000021200607,0.00024519567,0.000056700545,0.0000014037347,0.000022229628],"genre_scores_gemma":[0.9969718,0.00047704732,0.0024251847,0.000080997925,0.000017719814,0.0000039267666,0.000017070048,0.000004516038,0.000001727591],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985408,0.000011950791,0.0011630007,0.00008120082,0.00007445109,0.00012857787],"domain_scores_gemma":[0.9979793,0.00006543395,0.001804709,0.00011058165,0.0000042272413,0.00003574635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048334774,0.00011592461,0.00037898347,0.0003143005,0.00007846179,0.000025357798,0.00011614695,0.000035546454,0.000011310104],"category_scores_gemma":[0.000008914031,0.00010926714,0.00011014595,0.00017197889,0.00015642462,0.00089452276,0.000027088858,0.00012193306,0.0000022678862],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016474243,0.000047409827,0.52582306,0.0000043004525,0.000067492336,4.387566e-8,0.0014116204,0.47156915,0.000032149408,0.00007565462,4.2488205e-7,0.00095223234],"study_design_scores_gemma":[0.00027969223,0.00008287408,0.55786216,0.0000052450137,0.000058903664,0.0000021047847,0.0009471236,0.44042134,0.000008041722,0.00026472585,0.000007307058,0.000060436083],"about_ca_topic_score_codex":0.000097676806,"about_ca_topic_score_gemma":0.000034926663,"teacher_disagreement_score":0.044224653,"about_ca_system_score_codex":0.00021302541,"about_ca_system_score_gemma":0.0000065714457,"threshold_uncertainty_score":0.44557846},"labels":[],"label_agreement":null},{"id":"W2036076450","doi":"10.1007/s11116-012-9434-5","title":"Covariance, identification, and finite-sample performance of the MSL and Bayes estimators of a logit model with latent attributes","year":2012,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Frequentist inference; Estimator; Heteroscedasticity; Statistics; Monte Carlo method; Mathematics; Econometrics; Sample size determination; Covariance; Bayesian probability; Computer science; Bayesian inference","score_opus":0.06904231304028802,"score_gpt":0.19362445313165355,"score_spread":0.12458214009136553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036076450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95740396,0.00041674383,0.041779038,0.000055575107,0.00002694644,0.00010839947,0.00018604526,0.0000032251705,0.000020077403],"genre_scores_gemma":[0.9976809,0.0003074023,0.0019058989,0.000009486402,0.000004647448,0.000010198949,0.000049004528,0.0000053376802,0.000027107651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995381,0.0000029667924,0.00028039378,0.00009271927,0.000020085477,0.000065727254],"domain_scores_gemma":[0.9996042,0.00003814843,0.0002448759,0.00008524783,0.000009037941,0.00001849384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018020999,0.000051047115,0.00011240794,0.000029841274,0.00003721124,0.000004183312,0.00003406364,0.000024106,0.000011417872],"category_scores_gemma":[0.000012357242,0.00004415695,0.000014866314,0.00005062982,0.00007152195,0.00025107904,0.0000024345538,0.000026772428,0.0000018381564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000981528,0.000022784505,0.96004075,0.00005400714,0.000008892528,3.6344299e-9,0.0005524554,0.022922833,0.000052242005,0.01611673,0.000002450608,0.00021706549],"study_design_scores_gemma":[0.00020645723,0.000018012064,0.9428846,0.000012997197,0.000013352419,1.0680509e-7,0.000021157995,0.054466642,0.00071588886,0.0015876017,0.000022619535,0.000050561277],"about_ca_topic_score_codex":0.00003970789,"about_ca_topic_score_gemma":0.000016808248,"teacher_disagreement_score":0.040276967,"about_ca_system_score_codex":0.000010426192,"about_ca_system_score_gemma":0.0000044190356,"threshold_uncertainty_score":0.18006681},"labels":[],"label_agreement":null},{"id":"W2036419964","doi":"10.4000/vertigo.9620","title":"L'éthique environnementale dans les outils d'évaluation économique et environnementale : application à l'équité intergénérationnelle et à la gestion des déchets","year":2010,"lang":"fr","type":"article","venue":"VertigO","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.06680045493310549,"score_gpt":0.23823973443455365,"score_spread":0.17143927950144816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036419964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84944695,0.0009118903,0.12607078,0.0036763414,0.0008866729,0.00092423504,0.00024999463,0.000059027814,0.017774105],"genre_scores_gemma":[0.9785952,0.0027310124,0.009708515,0.00075683946,0.00024408184,0.00054697675,0.00082273956,0.000091573485,0.0065030404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997164,0.00029332552,0.001114493,0.00090299896,0.00007292661,0.00045226226],"domain_scores_gemma":[0.99838024,0.00021291536,0.0006171982,0.0006158588,0.000017804592,0.00015600456],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022060429,0.00042289324,0.00042153284,0.00020802848,0.00048921653,0.00019715763,0.000328394,0.0006768633,0.003096741],"category_scores_gemma":[0.00014200609,0.0006097558,0.00022102216,0.000117657655,0.00069634436,0.0012309855,0.00019924814,0.00073801633,0.0018617171],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030071964,0.000819117,0.5725368,0.00009133114,0.00010736556,0.0000017381038,0.005212613,0.0068268795,0.023123896,0.33825174,0.00049904914,0.052499395],"study_design_scores_gemma":[0.0018006543,0.00023846109,0.8104004,0.000103720056,0.000082693055,0.00003251206,0.0015071753,0.06003109,0.010396349,0.04640665,0.06807855,0.0009217356],"about_ca_topic_score_codex":0.001402139,"about_ca_topic_score_gemma":0.0053793844,"teacher_disagreement_score":0.29184508,"about_ca_system_score_codex":0.00073848007,"about_ca_system_score_gemma":0.000050454597,"threshold_uncertainty_score":0.9996354},"labels":[],"label_agreement":null},{"id":"W2036460252","doi":"10.1093/heapol/czg045","title":"Using willingness to pay to investigate regressiveness of user fees in health facilities in Tanzania","year":2003,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"World Bank Group","keywords":"Tanzania; Willingness to pay; Health facility; Business; User fee; Quarter (Canadian coin); Health care; Government (linguistics); Quality (philosophy); Cost sharing; Environmental health; Population; Public health; Public economics; Socioeconomics; Economic growth; Medicine; Health services; Economics; Nursing; Geography","score_opus":0.2515518484320024,"score_gpt":0.34520720959244977,"score_spread":0.09365536116044737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036460252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949654,0.0011214769,0.001001543,0.0020995731,0.00008598829,0.00025790022,0.00008736737,0.000004861161,0.0003759023],"genre_scores_gemma":[0.9944244,0.00017230514,0.001959217,0.0031923784,0.000029722512,0.000012976937,0.000005013976,0.000010770259,0.00019319337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998618,0.00007076218,0.00070618646,0.00024811283,0.000022547085,0.00033437918],"domain_scores_gemma":[0.99941176,0.000057576297,0.00024772622,0.000107774795,0.0000037529414,0.0001713794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001182438,0.00010371388,0.0003946568,0.00035898245,0.000076195574,0.00001377183,0.000053188487,0.00004899859,0.000018039527],"category_scores_gemma":[0.00018696884,0.00011474626,0.000015357806,0.00024313964,0.000026989943,0.00011776401,0.000023236047,0.000093112394,0.000011332073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010019638,0.000015139337,0.9325327,0.00022441594,0.0000024621074,6.3926433e-7,0.009439151,0.0320592,0.0000070929723,0.025336502,0.000035838675,0.00033679142],"study_design_scores_gemma":[0.0004753077,0.000098376455,0.9744204,0.000435015,2.8638738e-7,0.0000028819293,0.0013416574,0.0010340983,0.000044884844,0.006473262,0.015489248,0.00018456703],"about_ca_topic_score_codex":0.019987391,"about_ca_topic_score_gemma":0.00044515703,"teacher_disagreement_score":0.041887667,"about_ca_system_score_codex":0.00030609051,"about_ca_system_score_gemma":0.00011519642,"threshold_uncertainty_score":0.9865386},"labels":[],"label_agreement":null},{"id":"W2037079740","doi":"10.1139/l07-052","title":"Telecommuting and residential location decisions: combined stated and revealed preferences model","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Industry Canada","keywords":"Telecommuting; Mixed logit; Preference; Multinomial logistic regression; Econometrics; Estimation; Discrete choice; Choice modelling; Computer science; Logistic regression; Statistics; Operations research; Transport engineering; Economics; Engineering; Mathematics; Work (physics)","score_opus":0.04992641553755244,"score_gpt":0.19500730049477483,"score_spread":0.14508088495722238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037079740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9422485,0.0021631485,0.0547136,0.00007318938,0.000113123606,0.00004678594,0.0000062529225,0.0000030728106,0.0006323032],"genre_scores_gemma":[0.9982262,0.00021882381,0.0014489027,0.000024942734,0.000030872416,5.387032e-7,0.0000023162434,0.000009215744,0.00003813847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993208,0.0000033464205,0.0004262271,0.00008446506,0.00001779583,0.00014733667],"domain_scores_gemma":[0.9994921,0.000055867793,0.00017752728,0.000057485046,0.0000171684,0.00019984432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077813904,0.000064488675,0.00014997416,0.00027234922,0.000062792955,0.00004584979,0.000060853516,0.000043368756,0.000040207146],"category_scores_gemma":[0.00018897951,0.00007851713,0.000016918473,0.00006583652,0.000021155614,0.0002290657,0.000008772071,0.00010251477,0.0000031306831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036970818,0.000020390766,0.6769611,0.0000741055,0.00013864714,0.000024254376,0.0032230883,0.28554103,0.00030221973,0.026251893,0.0006844183,0.0067418288],"study_design_scores_gemma":[0.00084208034,0.00008721629,0.8043078,0.00013292226,0.0000125273045,0.00004330267,0.00022222492,0.17859967,0.000056265682,0.015076756,0.0003956829,0.00022355803],"about_ca_topic_score_codex":0.0005376184,"about_ca_topic_score_gemma":0.0247874,"teacher_disagreement_score":0.12734665,"about_ca_system_score_codex":0.00011663883,"about_ca_system_score_gemma":0.000042814503,"threshold_uncertainty_score":0.99300766},"labels":[],"label_agreement":null},{"id":"W2037252089","doi":"10.1006/anbe.2001.1925","title":"Irrational choices in hummingbird foraging behaviour","year":2002,"lang":"en","type":"article","venue":"Animal Behaviour","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Decoy; Foraging; Preference; Hummingbird; Biology; Statistics; Mathematics; Ecology","score_opus":0.13153666079701387,"score_gpt":0.23375687985077798,"score_spread":0.1022202190537641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037252089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98761624,0.00053297105,0.000059659375,0.00033360536,0.00014099864,0.00013430224,0.000042843956,0.00002868192,0.011110669],"genre_scores_gemma":[0.9971867,0.00005930269,0.00043148754,0.00017686674,0.000077042896,0.00003981605,0.000030038265,0.000023247867,0.0019754635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988473,0.000008746311,0.00049283955,0.00035855873,0.000037037746,0.00025549575],"domain_scores_gemma":[0.9995936,0.000015377038,0.00017437723,0.00015405023,0.000004943103,0.000057635127],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00025834172,0.00013189742,0.00020850216,0.00016462906,0.00008703163,0.000055839733,0.00014244455,0.000086559434,0.0038251395],"category_scores_gemma":[0.000013948263,0.000175425,0.00007486044,0.00009610993,0.000034022254,0.0005050426,0.000043525215,0.00013999459,0.0021283543],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026246814,0.00011807614,0.9895744,0.0000021828318,0.0000037797713,0.000004295672,0.00023198174,0.00002940245,0.00004944578,0.009385252,0.00039867082,0.00019988757],"study_design_scores_gemma":[0.00044534987,0.0000636625,0.99579555,0.000006312715,0.00000475412,0.000004331748,0.000105161016,0.0016898297,0.00006538774,0.0009315254,0.0006800821,0.00020808211],"about_ca_topic_score_codex":0.00048308587,"about_ca_topic_score_gemma":0.00012863906,"teacher_disagreement_score":0.009570466,"about_ca_system_score_codex":0.00017768067,"about_ca_system_score_gemma":0.0000028097547,"threshold_uncertainty_score":0.9986486},"labels":[],"label_agreement":null},{"id":"W2037376303","doi":"10.1007/s10640-007-9095-6","title":"Resolving questions about bias in real and hypothetical referenda","year":2007,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"U.S. Air Force","keywords":"Voting; Economics; Incentive; Econometrics; Aggregate (composite); Incentive compatibility; Confirmation bias; Social desirability bias; Microeconomics; Social psychology; Psychology; Social desirability","score_opus":0.07861989662350141,"score_gpt":0.21078943565411162,"score_spread":0.1321695390306102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037376303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97490895,0.0013829675,0.0000651066,0.0002391964,0.00006948876,0.00013952276,0.00005863865,0.000015684664,0.023120442],"genre_scores_gemma":[0.99364585,0.0042787413,0.0007068037,0.00017257583,0.0000774275,0.000007737985,0.000030911913,0.000028201932,0.0010517619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985678,0.00001631395,0.0006084325,0.00047797736,0.00001882852,0.00031060926],"domain_scores_gemma":[0.99941105,0.00008459426,0.00016798118,0.00018684515,4.179589e-7,0.00014912251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008676924,0.00017420771,0.000281882,0.00016078215,0.00012880238,0.000045189383,0.00008314172,0.00015827041,0.00024611087],"category_scores_gemma":[0.000013654654,0.00021016931,0.000044641496,0.000025285426,0.0002506983,0.00016918777,0.00013096968,0.00019654867,0.00018449522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003250582,0.0000959567,0.947126,0.000008470885,0.000018580717,0.0000040701916,0.00071791565,0.00013302732,0.0001207768,0.0434617,0.00004583019,0.008235215],"study_design_scores_gemma":[0.00066253135,0.000056890076,0.9624735,0.000009817217,0.0000044667004,0.000019013074,0.0005604997,0.00081612857,0.00006309441,0.005775495,0.029290808,0.00026771578],"about_ca_topic_score_codex":0.00019017357,"about_ca_topic_score_gemma":0.0001096913,"teacher_disagreement_score":0.037686206,"about_ca_system_score_codex":0.00026455752,"about_ca_system_score_gemma":0.000002997222,"threshold_uncertainty_score":0.8570456},"labels":[],"label_agreement":null},{"id":"W2037502301","doi":"10.1287/mnsc.1060.0616","title":"Capturing Flexible Heterogeneous Utility Curves: A Bayesian Spline Approach","year":2007,"lang":"en","type":"article","venue":"Management Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Monotonic function; Mathematical optimization; Spline (mechanical); Bayesian probability; Econometrics; Covariate; Piecewise linear function; Linear model; Computer science; A priori and a posteriori; Flexibility (engineering); Mathematics; Mathematical economics; Statistics; Artificial intelligence","score_opus":0.09120971711328496,"score_gpt":0.23581748810844544,"score_spread":0.14460777099516048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037502301","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28232574,0.001108401,0.32337138,0.00021028954,0.00031428772,0.00047985525,0.000011266248,0.000076814475,0.39210197],"genre_scores_gemma":[0.99104893,0.00018993835,0.006293319,0.0005575022,0.000030575775,0.0000134925585,0.000008316009,0.000009246515,0.0018486566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985233,0.0000038999897,0.00040993275,0.0005855291,0.00007878268,0.00039857134],"domain_scores_gemma":[0.9993346,0.000007822442,0.00014963941,0.0004030377,0.000004494957,0.00010040465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002650298,0.00011243831,0.00015795554,0.0002186435,0.00020244047,0.000060470677,0.0004021826,0.00002533009,0.00035243915],"category_scores_gemma":[0.00001391519,0.00013293793,0.000052445717,0.0003327606,0.0002074842,0.00034091368,0.00020490275,0.00006174391,0.00045245807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028909855,0.00069163507,0.7167738,0.0005949052,0.00008764556,0.000021331076,0.0007219161,0.006228062,0.00007292108,0.25124037,0.0013208278,0.022217697],"study_design_scores_gemma":[0.00068234507,0.000056064353,0.9084602,0.000048641825,0.000015130845,0.0000096888225,0.00037351402,0.059194747,0.0008401826,0.016653877,0.0130540645,0.0006115359],"about_ca_topic_score_codex":0.00006409064,"about_ca_topic_score_gemma":0.000005388217,"teacher_disagreement_score":0.7087232,"about_ca_system_score_codex":0.00021074756,"about_ca_system_score_gemma":0.0000037751747,"threshold_uncertainty_score":0.5815584},"labels":[],"label_agreement":null},{"id":"W2037763771","doi":"10.1016/j.jebo.2014.11.007","title":"Reference-dependent preferences, team relocations, and major league expansion","year":2014,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relocation; Subsidy; Status quo; League; Loss aversion; Business; Value (mathematics); Economics; Public economics; Microeconomics; Market economy","score_opus":0.061004748385883066,"score_gpt":0.22380671824503554,"score_spread":0.16280196985915246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037763771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944133,0.00019380343,0.0030256778,0.00021935915,0.00048609218,0.00014719281,0.000017607135,0.000014133597,0.0014828251],"genre_scores_gemma":[0.9980527,0.00047794697,0.00074164954,0.0000714913,0.0001709037,0.0000058712117,0.00005153182,0.000031310767,0.00039655215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853647,0.000029954095,0.0009916488,0.00025413636,0.000034742134,0.0001530778],"domain_scores_gemma":[0.9988564,0.000028445473,0.00077633414,0.00019826178,0.000041330917,0.000099192],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00075325597,0.00014045164,0.0003333697,0.00020756309,0.00012524458,0.00008485981,0.00017053932,0.00013132728,0.001051168],"category_scores_gemma":[0.000069235735,0.00014297602,0.0000400087,0.00004835232,0.00004555859,0.00062591175,0.000054723292,0.00015669418,0.0005851606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008063272,0.00011608252,0.9742795,0.000011784224,0.000027385055,4.526094e-7,0.0004075533,0.0004356504,0.0013451169,0.019516343,0.000465691,0.0033863522],"study_design_scores_gemma":[0.0013069911,0.00025262078,0.98438865,0.000024164514,0.000073022915,0.000078805,0.0002940841,0.000516659,0.003940611,0.00603562,0.0027392558,0.0003494927],"about_ca_topic_score_codex":0.0000773377,"about_ca_topic_score_gemma":0.00002293658,"teacher_disagreement_score":0.013480724,"about_ca_system_score_codex":0.0003760938,"about_ca_system_score_gemma":0.000029153729,"threshold_uncertainty_score":0.999862},"labels":[],"label_agreement":null},{"id":"W2037776344","doi":"10.1016/j.foodqual.2014.04.014","title":"Combining experimental auctions with a modified home-use test to assess rural consumers’ acceptance of quality protein maize, a biofortified crop","year":2014,"lang":"en","type":"article","venue":"Food Quality and Preference","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian International Development Agency","keywords":"Tanzania; Willingness to pay; Quality (philosophy); Biofortification; Population; Biotechnology; Marketing; Business; Agricultural science; Economics; Environmental health; Socioeconomics; Biology; Medicine; Microeconomics","score_opus":0.4043614016671135,"score_gpt":0.30891948769131417,"score_spread":0.09544191397579932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037776344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893688,0.000095160074,0.007975061,0.00017206166,0.0000662611,0.00046953783,0.00030943326,0.000029705425,0.0015139779],"genre_scores_gemma":[0.9973714,0.000013268876,0.0020686793,0.00014223914,0.000013945371,0.00013096088,0.000033062955,0.000014466839,0.00021200132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846846,0.00009037262,0.00074407726,0.00040404734,0.000061254344,0.00023176131],"domain_scores_gemma":[0.99886715,0.00017545854,0.00047236247,0.0003558581,0.000022070153,0.000107100575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008357807,0.00017775927,0.00045805087,0.00008200856,0.00014998694,0.0000842613,0.0001448635,0.000091476104,0.00013376663],"category_scores_gemma":[0.00016201595,0.00018944414,0.000050365114,0.000119334654,0.00017559022,0.00040536508,0.00008508712,0.00012545468,0.00003920981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024514538,0.0004468359,0.65985155,0.00012300555,0.00008852725,1.1826315e-7,0.0023444323,0.00018973049,0.0072249323,0.32863182,0.000017404833,0.0008365038],"study_design_scores_gemma":[0.0012848122,0.00074102136,0.97975624,0.000057363617,0.000007781947,0.0000013382419,0.00085164345,0.00038208126,0.008374034,0.008003094,0.00013896203,0.00040160195],"about_ca_topic_score_codex":0.0006522501,"about_ca_topic_score_gemma":0.00016831991,"teacher_disagreement_score":0.32062873,"about_ca_system_score_codex":0.00006571661,"about_ca_system_score_gemma":0.00001622598,"threshold_uncertainty_score":0.7725308},"labels":[],"label_agreement":null},{"id":"W2038038785","doi":"10.1080/19390450802614466","title":"Estimating the Willingness to Pay for the Benefit of AES Using the Contingent Valuation Method","year":2009,"lang":"en","type":"article","venue":"Journal of Natural Resources Policy Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Willingness to pay; Contingent valuation; Tobit model; Valuation (finance); Economics; Willingness to accept; Econometrics; Actuarial science; Public economics; Microeconomics; Business; Finance","score_opus":0.32635760364424843,"score_gpt":0.42978554249575124,"score_spread":0.10342793885150281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038038785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94944715,0.002645832,0.020360423,0.026698712,0.00019084843,0.00047157143,0.000012147031,0.0000020294701,0.00017128547],"genre_scores_gemma":[0.9901472,0.00007494228,0.00814119,0.00044883505,0.00090005295,0.000007035431,6.7431233e-7,0.000010428458,0.00026968218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985467,0.0001171815,0.00072481646,0.00013427749,0.00019839185,0.0002786133],"domain_scores_gemma":[0.99743325,0.0014441356,0.00069001975,0.00022907065,0.00015379398,0.00004972444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00991718,0.00008863513,0.0002432321,0.00020586245,0.0005005271,0.00011962719,0.0005859066,0.000048036512,0.000015136754],"category_scores_gemma":[0.0018807208,0.000042560438,0.00017047054,0.00033914178,0.00008389265,0.00014403269,0.000073249445,0.00040160373,0.000005021748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005272072,0.0001549523,0.03469034,0.00006116651,0.00039126156,0.0000010217309,0.022150176,0.5737843,0.0050990246,0.069609754,0.0015383693,0.29199246],"study_design_scores_gemma":[0.00084181875,0.0005342181,0.3242572,0.00009721422,0.000041006224,0.000030430527,0.001885787,0.5563778,0.001322125,0.10148387,0.012955348,0.00017318739],"about_ca_topic_score_codex":0.00032242987,"about_ca_topic_score_gemma":0.000011332967,"teacher_disagreement_score":0.29181927,"about_ca_system_score_codex":0.00023543111,"about_ca_system_score_gemma":0.000038573227,"threshold_uncertainty_score":0.38497004},"labels":[],"label_agreement":null},{"id":"W2038173928","doi":"10.1111/j.1744-7976.2010.01215.x","title":"A Reverse Auction for Wetland Restoration in the Assiniboine River Watershed, Saskatchewan","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Water Security Agency; Saskatchewan Health; Ducks Unlimited Canada","funders":"Natural Resources Conservation Service; Natural Resources Canada; U.S. Department of Agriculture","keywords":"Wetland; Waterfowl; Bidding; Environmental science; Habitat; Business; Ecology","score_opus":0.10169541267396416,"score_gpt":0.16796132995804078,"score_spread":0.06626591728407662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038173928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936656,0.0002092961,0.00012951384,0.002599897,0.0011676201,0.00044399707,0.00021881,0.000004007838,0.0015612991],"genre_scores_gemma":[0.9975168,0.000060337876,0.0007762579,0.00049688254,0.0004851402,0.000037273556,0.000103821876,0.000021997766,0.00050146715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784356,0.000033712833,0.001226437,0.00035023296,0.000006600806,0.0005394232],"domain_scores_gemma":[0.99827397,0.000055074,0.0009610743,0.0002457057,0.000044317065,0.00041984097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011465921,0.00024068041,0.0005091043,0.0003699549,0.00019382092,0.00009987499,0.00045644303,0.00016007709,0.0003901956],"category_scores_gemma":[0.00006320598,0.00021081266,0.00025102566,0.00009972851,0.00012835633,0.00097264437,0.000011413234,0.00022725313,0.00011364904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046175547,0.000257493,0.62514883,0.00017432218,0.0007436759,0.00009910043,0.12566645,0.012732985,0.00011647806,0.19712035,0.03409899,0.0033795766],"study_design_scores_gemma":[0.0018758795,0.00055208965,0.92261016,0.00003627281,0.000047134505,0.00028729468,0.01044884,0.00030280615,0.00006549098,0.029831626,0.033362783,0.00057960395],"about_ca_topic_score_codex":0.05950847,"about_ca_topic_score_gemma":0.69485724,"teacher_disagreement_score":0.6353488,"about_ca_system_score_codex":0.0019349473,"about_ca_system_score_gemma":0.00018424488,"threshold_uncertainty_score":0.94675434},"labels":[],"label_agreement":null},{"id":"W2038221914","doi":"10.1186/1471-2288-12-15","title":"An empirical comparison of methods for analyzing correlated data from a discrete choice survey to elicit patient preference for colorectal cancer screening","year":2012,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; St. Joseph’s Healthcare Hamilton; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Multinomial logistic regression; Statistics; Multivariate probit model; Multinomial probit; Econometrics; Logistic regression; Probit model; Bivariate analysis; Correlation; Probit; Mathematics","score_opus":0.9193839092889916,"score_gpt":0.628187695034638,"score_spread":0.2911962142543536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038221914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46160498,0.0011072585,0.5354539,0.00011120849,0.00023212463,0.00052668015,0.00093687314,0.000007019165,0.000019902205],"genre_scores_gemma":[0.54049367,0.00007854465,0.45802918,0.00007957905,0.00015598077,0.00028953172,0.00083650975,0.000022481487,0.000014529083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9933675,0.0038625305,0.0011246492,0.00075995084,0.00014183109,0.0007435499],"domain_scores_gemma":[0.95690095,0.041532338,0.0003520166,0.0005632457,0.00008885877,0.0005625806],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.039473135,0.00015707457,0.0009044576,0.00025132715,0.00016720133,0.000022906406,0.00085927726,0.00032813824,0.00082989514],"category_scores_gemma":[0.059283335,0.00015862647,0.00008804153,0.0002841961,0.00023350563,0.00026075973,0.00049147714,0.00038562386,0.000026101927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052812556,0.00016548384,0.9393342,0.00003236114,0.00009666905,2.8935343e-8,0.0008729699,0.00034879163,0.00037063184,0.00044137012,0.00095375354,0.05685561],"study_design_scores_gemma":[0.0007222088,0.0005199289,0.7138903,0.000029524954,0.000017904933,2.5539597e-7,0.0002529298,0.2790669,0.00077824836,0.0010232495,0.003528289,0.00017026071],"about_ca_topic_score_codex":0.007996823,"about_ca_topic_score_gemma":0.0036447672,"teacher_disagreement_score":0.27871808,"about_ca_system_score_codex":0.00016855965,"about_ca_system_score_gemma":0.0001436976,"threshold_uncertainty_score":0.998609},"labels":[],"label_agreement":null},{"id":"W2038462691","doi":"10.1126/science.1257484","title":"A mid-term analysis of progress toward international biodiversity targets","year":2014,"lang":"en","type":"article","venue":"Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1226,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; University of British Columbia; Queen's University; Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Biodiversity; Convention on Biological Diversity; Baseline (sea); Environmental resource management; Convention; Environmental planning; Term (time); Diversity (politics); International community; Geography; Political science; Environmental science; Ecology; Biology; Politics","score_opus":0.07589574896500595,"score_gpt":0.2312790851356984,"score_spread":0.15538333617069244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038462691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99296033,0.000080552585,0.0019300681,0.0002765921,0.00025881585,0.000037012254,0.000051831288,0.0000061496416,0.0043986198],"genre_scores_gemma":[0.99891895,0.000019454896,0.0009058556,0.00006288581,0.000011333776,0.0000017717946,0.000012737096,0.0000010329426,0.000065995984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999434,0.0000035047299,0.0001842681,0.00023296104,0.000043537217,0.000101724596],"domain_scores_gemma":[0.99963355,0.0000078649655,0.00017393043,0.00013528814,0.000012032496,0.00003732258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006250025,0.000041287643,0.00013316101,0.00031861305,0.00005674904,0.000025939471,0.00030539074,0.0000176731,0.0004988164],"category_scores_gemma":[0.000035925365,0.000046996338,0.0000629642,0.00034490027,0.00030422964,0.0002566389,0.00008730184,0.000022305223,0.00021974128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015126452,0.00002393942,0.99375105,0.0000016002087,0.00003806286,5.863686e-8,0.0002382892,0.00015433447,0.0000872414,0.0045727324,0.000018189672,0.0011129641],"study_design_scores_gemma":[0.00010310266,0.000014928841,0.98657316,9.4255483e-7,0.000013824433,1.0517544e-7,0.000027304044,0.010792057,0.00056983426,0.00095461647,0.00089223176,0.000057882527],"about_ca_topic_score_codex":0.00003312271,"about_ca_topic_score_gemma":0.000004411212,"teacher_disagreement_score":0.010637723,"about_ca_system_score_codex":0.00008417029,"about_ca_system_score_gemma":0.0000062164136,"threshold_uncertainty_score":0.546169},"labels":[],"label_agreement":null},{"id":"W2039374443","doi":"10.1007/s00267-010-9477-3","title":"The Perceived Implications of an Outsourcing Model on Governance within British Columbia Provincial Parks in Canada: A Quantitative Study","year":2010,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Corporate governance; Stakeholder; Accountability; Business; Equity (law); Transparency (behavior); Good governance; Outsourcing; Government (linguistics); Accounting; Public relations; Public economics; Public administration; Marketing; Finance; Political science; Economics","score_opus":0.027232985753048625,"score_gpt":0.1925812550970706,"score_spread":0.16534826934402197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039374443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956065,0.000028678798,0.00008743012,0.00010752176,0.00012539077,0.0007981236,0.00020865587,0.000004665685,0.0030330354],"genre_scores_gemma":[0.9983642,0.000053333308,0.00052479916,0.00011857131,0.000011080726,0.00016958348,0.00001842483,0.000018071889,0.00072194723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881756,0.000020982017,0.00053254684,0.00037586782,0.00006934676,0.00018367087],"domain_scores_gemma":[0.9992642,0.000026094845,0.00032251413,0.00033983777,0.0000010100978,0.000046387842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041580363,0.000095996504,0.00019388903,0.000019416506,0.00018534157,0.00006418153,0.00025301834,0.000027048025,0.00015081925],"category_scores_gemma":[0.000010107502,0.00013675197,0.00003459124,0.000040536866,0.00007390479,0.00014705185,0.00009868888,0.00015626693,0.00002819856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015031049,0.00054665864,0.96408606,0.000005428982,0.000041055293,0.000003472351,0.0007493925,0.023706643,0.00007262281,0.007426745,0.00013028094,0.0032166387],"study_design_scores_gemma":[0.00055524695,0.00010212016,0.9670611,0.000005411964,0.0000065169534,4.4908504e-7,0.0027186328,0.026538106,0.0000045156166,0.002781156,0.000084878906,0.00014183742],"about_ca_topic_score_codex":0.6533134,"about_ca_topic_score_gemma":0.98468786,"teacher_disagreement_score":0.33137453,"about_ca_system_score_codex":0.00076190376,"about_ca_system_score_gemma":0.00002202277,"threshold_uncertainty_score":0.5576584},"labels":[],"label_agreement":null},{"id":"W2039708668","doi":"10.1111/j.1468-0084.2007.00491.x","title":"Measurement Error in Access to Markets*","year":2008,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Econometrics; Observational error; Standard deviation; Observable; Economics; Statistics; Standard error; Errors-in-variables models; Mathematics","score_opus":0.1387924511343704,"score_gpt":0.2319030391662739,"score_spread":0.0931105880319035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039708668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97628,0.0003856215,0.0043293703,0.0011155058,0.00018059285,0.00027741914,0.0003865512,0.0000054619195,0.017039495],"genre_scores_gemma":[0.98294127,0.0037234835,0.012322883,0.00050818536,0.00002665809,0.000026717826,0.000015143542,0.000021093912,0.00041454847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987362,0.000010040185,0.0007214725,0.00031420772,0.000019406421,0.00019868725],"domain_scores_gemma":[0.99941736,0.00003513037,0.0002627582,0.0001787107,0.000013945667,0.000092097085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005686951,0.0001303949,0.0003770375,0.00015000935,0.0000567538,0.000026450984,0.00015964844,0.000057208752,0.00073687517],"category_scores_gemma":[0.000080816775,0.00017073056,0.000034394478,0.000037608137,0.00006870803,0.000056419616,0.000104163846,0.00006526101,0.00011744779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008872746,0.00018190633,0.7794752,0.00006234769,0.000052592422,0.000005524155,0.00036819515,0.0028806361,0.000005337231,0.1974919,0.0140885785,0.00529905],"study_design_scores_gemma":[0.00069817615,0.00008011398,0.77059686,0.000014895789,0.00000356774,0.000004989917,0.000036774363,0.0032231116,0.000026481057,0.011369233,0.21369228,0.00025348927],"about_ca_topic_score_codex":0.00026333943,"about_ca_topic_score_gemma":0.00013116786,"teacher_disagreement_score":0.19960369,"about_ca_system_score_codex":0.00016134449,"about_ca_system_score_gemma":0.00001664721,"threshold_uncertainty_score":0.8068266},"labels":[],"label_agreement":null},{"id":"W2040720495","doi":"10.3390/su7032730","title":"Feasibility Study on an Evidence-Based Decision-Support System for Hospital Site Selection for an Aging Population","year":2015,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Robustness (evolution); Population ageing; Site selection; Decision support system; Health care; Population; Context (archaeology); Selection (genetic algorithm); Computer science; Operations research; Operations management; Risk analysis (engineering); Knowledge management; Environmental resource management; Business; Medicine; Engineering; Data mining; Geography; Artificial intelligence; Environmental health; Economics","score_opus":0.16760060355410478,"score_gpt":0.3268751648091475,"score_spread":0.15927456125504275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040720495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9319965,0.000022010317,0.0631414,0.00019092446,0.00036774433,0.004099161,0.00008367104,0.00007356703,0.00002500237],"genre_scores_gemma":[0.9974594,3.5451737e-7,0.0015808556,0.00004154158,0.00013815294,0.0005443959,0.0001485636,0.000026858992,0.000059841157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802434,0.000084796666,0.00069500756,0.0008380483,0.00006824947,0.00028957246],"domain_scores_gemma":[0.9985568,0.00018819398,0.00033482624,0.00053570117,0.00021511118,0.00016935357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004805081,0.00017691813,0.00034083048,0.00013355869,0.00022315966,0.00012335861,0.00014319105,0.000100054735,0.000012613366],"category_scores_gemma":[0.0013529749,0.0002054891,0.000120316596,0.00011378279,0.000026001175,0.0014591899,0.000023807272,0.000072470546,0.00001674293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033635355,0.00084957684,0.985736,0.00008888349,0.000008567101,1.2114069e-7,0.00071082823,0.007669546,9.3241016e-7,0.0026640405,0.000039032893,0.0018960938],"study_design_scores_gemma":[0.0018080429,0.0042028446,0.91007817,0.0000105531935,0.000016440767,2.695979e-7,0.0032738682,0.054563023,0.000019004941,0.025706623,0.00007586067,0.00024530443],"about_ca_topic_score_codex":0.0011274237,"about_ca_topic_score_gemma":0.00028167863,"teacher_disagreement_score":0.07565786,"about_ca_system_score_codex":0.0063427505,"about_ca_system_score_gemma":0.00011165916,"threshold_uncertainty_score":0.99747175},"labels":[],"label_agreement":null},{"id":"W2041144461","doi":"10.1111/j.1467-9353.2004.00208.x","title":"Is Geographical Targeting Cost-Effective? The Case of the Conservation Reserve Enhancement Program in Illinois","year":2005,"lang":"en","type":"article","venue":"Review of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Guelph; Farm Service Agency; University of New South Wales; Illinois Department of Natural Resources; U.S. Department of Agriculture","keywords":"Conservation Reserve Program; Natural resource economics; Economics; Nature reserve; Business; Geography; Archaeology","score_opus":0.04913515172352104,"score_gpt":0.2526191783819521,"score_spread":0.20348402665843104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041144461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685095,0.020562308,0.000011087101,0.0073577,0.0001000387,0.0024966497,0.000061512146,0.0000051707916,0.00089602923],"genre_scores_gemma":[0.9500459,0.047573615,0.00059208187,0.0012031235,0.00006039414,0.0004243613,0.000031550782,0.00000811112,0.000060903225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835324,0.00005303794,0.0011383077,0.0002624106,0.000019843199,0.00017318316],"domain_scores_gemma":[0.99867046,0.00008369369,0.00092042837,0.00026825222,0.000027175052,0.000029986948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010460105,0.00014269137,0.00043479193,0.000036143294,0.00007527483,0.000015448535,0.00023597803,0.00006778825,0.00020075963],"category_scores_gemma":[0.00007709623,0.000089091285,0.00025401608,0.00018370699,0.00011367837,0.00022667274,0.00009145868,0.00014327987,0.000042276766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037124406,0.0012272637,0.6732343,0.0044691693,0.00045370567,0.0000020835594,0.0018156093,0.004081729,0.00018183734,0.08643613,0.012341738,0.21571934],"study_design_scores_gemma":[0.0009442658,0.00015663714,0.88178045,0.0011197034,0.00005847423,0.000039630497,0.0003889066,0.006164541,0.002074904,0.0013388218,0.10549678,0.00043689326],"about_ca_topic_score_codex":0.00042167376,"about_ca_topic_score_gemma":0.0003149259,"teacher_disagreement_score":0.21528244,"about_ca_system_score_codex":0.00021847739,"about_ca_system_score_gemma":0.00000943368,"threshold_uncertainty_score":0.36330372},"labels":[],"label_agreement":null},{"id":"W2041995523","doi":"10.1139/x03-083","title":"Information technology and the newsprint demand in Western Europe: a Bayesian approach","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"International Institute for Applied Systems Analysis; Norges Forskningsråd","keywords":"Newsprint; Econometric model; Economics; Consumption (sociology); Bayesian probability; Econometrics; Statistics; Engineering; Mathematics","score_opus":0.07335284821815091,"score_gpt":0.23918692337100506,"score_spread":0.16583407515285414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041995523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97766733,0.0011839039,0.002702905,0.0015199252,0.000050927214,0.00015984212,0.0000034909806,8.7967135e-7,0.016710801],"genre_scores_gemma":[0.99928,0.0001874262,0.00028478337,0.000061124665,0.000015036846,0.000006681161,0.0000010445074,0.0000050765666,0.00015882253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999208,0.000060659677,0.00040458023,0.00006581416,0.000033348235,0.00022761532],"domain_scores_gemma":[0.9995418,0.00003694283,0.0001376499,0.00011799628,0.000028954082,0.00013661577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030485098,0.000049783663,0.00015239416,0.0009768389,0.00010490181,0.00008913988,0.00017062727,0.000059591002,0.000049025817],"category_scores_gemma":[0.00035458078,0.000042466178,0.00002260848,0.00033348033,0.0002830991,0.00030539473,0.000015722442,0.00031960805,0.00006023338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005277484,0.0000037206662,0.7659439,0.0000045861248,0.000005635614,0.0000021662315,0.00055047625,0.00035954852,1.6436803e-7,0.23259737,0.00006258547,0.00046456963],"study_design_scores_gemma":[0.0014453446,0.00006113901,0.904696,0.000013251046,0.0000014538498,0.00009093822,0.00078733463,0.0006847313,0.0000054088628,0.059252944,0.032889042,0.00007243081],"about_ca_topic_score_codex":0.0017916283,"about_ca_topic_score_gemma":0.009118398,"teacher_disagreement_score":0.17334442,"about_ca_system_score_codex":0.00017380614,"about_ca_system_score_gemma":0.00013575114,"threshold_uncertainty_score":0.508828},"labels":[],"label_agreement":null},{"id":"W2042424526","doi":"10.1139/x01-118","title":"The dynamic path of recreational values following a forest fire: a comparative analysis of states in the Intermountain West","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recreation; Geography; Range (aeronautics); Forestry; Path analysis (statistics); Land Values; Path (computing); Environmental science; Environmental resource management; Land use; Ecology; Statistics; Mathematics; Engineering; Biology; Computer science","score_opus":0.12907738452840253,"score_gpt":0.32209507450478686,"score_spread":0.19301768997638433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042424526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548286,0.0019398215,0.00015375722,0.00066985085,0.00005013753,0.00013716095,0.00006501361,3.736388e-7,0.0015010184],"genre_scores_gemma":[0.9992345,0.00052396255,0.000052172636,0.000017133185,0.000016298554,0.000008203914,0.000026836973,0.0000048792754,0.00011600765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986848,0.00012821388,0.0007142579,0.000109298824,0.000108725486,0.0002547016],"domain_scores_gemma":[0.99873924,0.00055508094,0.0003674213,0.00017927341,0.00006187442,0.000097099546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003968834,0.00006951008,0.00031681795,0.0006455306,0.0001680089,0.000053935808,0.0004229513,0.000039028586,0.000118272794],"category_scores_gemma":[0.00020990212,0.000052138836,0.00018709719,0.0006955039,0.00026983354,0.00016841367,0.000017042596,0.00023493756,0.000009812001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021974955,0.000022863656,0.97997755,0.0000033106082,0.00023439135,0.000009880935,0.0027096865,0.0080683725,0.0000017260494,0.008525797,0.00012957277,0.00029484654],"study_design_scores_gemma":[0.00025225992,0.0001423165,0.9579008,0.000032471886,0.000022953318,0.00000453365,0.003751069,0.020727737,0.0000018690988,0.016609741,0.0005073278,0.000046923116],"about_ca_topic_score_codex":0.02087196,"about_ca_topic_score_gemma":0.31149694,"teacher_disagreement_score":0.29062498,"about_ca_system_score_codex":0.0004309196,"about_ca_system_score_gemma":0.00019696064,"threshold_uncertainty_score":0.98564816},"labels":[],"label_agreement":null},{"id":"W2042544269","doi":"10.1111/j.1744-7976.2010.01213.x","title":"Identifying Priority Areas for Wetlands Restoration along the Louisiana Coast under the Coastal Wetlands Planning, Protection, and Restoration Act of 1990","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wetland; Amenity; Geography; Forestry; Bay; Wildlife refuge; Wildlife; Archaeology; Ecology; Political science","score_opus":0.11160650354304796,"score_gpt":0.1970076901232077,"score_spread":0.08540118658015974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042544269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99489266,0.00040703948,0.0005231331,0.0018005979,0.00094564626,0.0005407298,0.00028955442,0.0000046173227,0.0005960434],"genre_scores_gemma":[0.9988343,0.00009995382,0.00014934188,0.00015775814,0.00041413403,0.000034457884,0.000066609784,0.00002213209,0.00022128585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980575,0.000038980754,0.0012037966,0.0002867711,0.000011133206,0.00040183438],"domain_scores_gemma":[0.9975919,0.00008321401,0.0016230141,0.00024991418,0.00008247879,0.00036945313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136747,0.00023727656,0.00047462765,0.00022160888,0.0004867846,0.00014938305,0.00036595826,0.00014554986,0.00012183485],"category_scores_gemma":[0.00008096044,0.00018379206,0.00019174645,0.00009109026,0.00020346923,0.0008122608,0.000027273056,0.00025389876,0.000012967418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017064057,0.00004032539,0.8443837,0.000098242315,0.0005126969,0.0000050556214,0.013419639,0.006273907,0.0000713523,0.13121642,0.0027843248,0.0010237037],"study_design_scores_gemma":[0.0007430474,0.00029609288,0.9790884,0.000046365905,0.000053329488,0.0001699721,0.0060702646,0.00047286815,0.000068343936,0.009014981,0.003698614,0.00027769498],"about_ca_topic_score_codex":0.043778088,"about_ca_topic_score_gemma":0.7547045,"teacher_disagreement_score":0.71092635,"about_ca_system_score_codex":0.00070761994,"about_ca_system_score_gemma":0.00021122642,"threshold_uncertainty_score":0.9625895},"labels":[],"label_agreement":null},{"id":"W2042580824","doi":"10.1016/j.jenvman.2006.10.011","title":"Using expert judgments to understand spatial patterns of forest-based camping: A values-at-risk application","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Alberta","funders":"","keywords":"Recreation; Environmental resource management; Forest management; Hazard; Prioritization; Geography; Fire prevention; Environmental planning; Risk management; Environmental protection; Environmental science; Forestry; Business; Ecology; Engineering","score_opus":0.0568316865218723,"score_gpt":0.2196306782351917,"score_spread":0.1627989917133194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042580824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7771963,0.00022535064,0.22139369,0.00006285139,0.00012576296,0.00027416885,0.000069807495,0.0000027009924,0.0006493704],"genre_scores_gemma":[0.99471956,0.00014750224,0.00466907,0.00013231266,0.0000866658,0.0000072657513,0.000018892539,0.000023589642,0.00019513149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985857,0.000019021943,0.00086907187,0.00023419225,0.000114763454,0.00017722574],"domain_scores_gemma":[0.9986608,0.000014832768,0.0010382409,0.00021483251,0.000002359842,0.00006893347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038845502,0.0001463,0.0002818218,0.00021890119,0.00008029301,0.000016812884,0.00016431008,0.000045850524,0.00031917193],"category_scores_gemma":[0.000002740407,0.00016784463,0.0001437142,0.000040536972,0.00003504489,0.00014169211,0.000100041034,0.00006416286,0.00007399204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007241654,0.00039738498,0.9106769,0.00002536059,0.00010002058,0.000004014423,0.00017237464,0.08517818,0.0009860258,0.00083026016,0.000115341405,0.0014417305],"study_design_scores_gemma":[0.0016904542,0.00022654915,0.9835164,0.00003626067,0.00004833037,0.0000035779183,0.00047779537,0.008008373,0.0011727202,0.0029731826,0.0016198428,0.00022649455],"about_ca_topic_score_codex":0.00039497472,"about_ca_topic_score_gemma":0.000039070037,"teacher_disagreement_score":0.21752328,"about_ca_system_score_codex":0.0011816178,"about_ca_system_score_gemma":0.0000029495689,"threshold_uncertainty_score":0.6844505},"labels":[],"label_agreement":null},{"id":"W2042913158","doi":"10.1007/s10640-005-4818-z","title":"Frontiers in Stated Preferences Methods: An Introduction","year":2006,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Natural resource economics; Microeconomics","score_opus":0.029901002110814097,"score_gpt":0.19206089806180612,"score_spread":0.16215989595099203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042913158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939609,0.0010696584,0.001359973,0.00035716596,0.00023215389,0.00017050611,0.00006515717,0.000018633238,0.0027658208],"genre_scores_gemma":[0.98769516,0.00057131704,0.010101328,0.000102955855,0.00023041666,0.000022542506,0.0002555015,0.000026444295,0.0009943297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986167,0.000043127333,0.0005462544,0.00054826186,0.000014335232,0.00023135089],"domain_scores_gemma":[0.99949926,0.000014377604,0.00021372364,0.00020403572,4.385866e-7,0.00006816758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005503699,0.00016639731,0.0002930878,0.00015980934,0.000088748224,0.000050564595,0.0001084911,0.00011513052,0.00041925805],"category_scores_gemma":[0.000003556121,0.00020069549,0.00004200169,0.000031896543,0.0001505223,0.0004025984,0.00005686524,0.0001319807,0.000106867665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003338761,0.00021638339,0.96878546,0.0000073562896,0.000024041816,7.220825e-7,0.00037002985,0.0060183485,0.00024389967,0.009105265,0.00073705334,0.014458034],"study_design_scores_gemma":[0.0008129493,0.00009893171,0.8522243,0.0000019689028,0.000006183821,0.0000062218382,0.0011205941,0.010012778,0.0003383778,0.045979705,0.089006074,0.00039191803],"about_ca_topic_score_codex":0.00018829785,"about_ca_topic_score_gemma":0.00003351513,"teacher_disagreement_score":0.11656118,"about_ca_system_score_codex":0.00026672165,"about_ca_system_score_gemma":0.000002824367,"threshold_uncertainty_score":0.8184125},"labels":[],"label_agreement":null},{"id":"W2043518229","doi":"10.1002/hec.1336","title":"Heterogeneity in preferences for smoking cessation","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada","funders":"Health Canada","keywords":"Smoking cessation; Preference; Tobacco control; Health economics; Mixed logit; Medicine; Logistic regression; Cornerstone; Public health; Environmental health; Psychology; Economics; Geography; Microeconomics; Internal medicine; Nursing","score_opus":0.31245327673920686,"score_gpt":0.2832286564699108,"score_spread":0.029224620269296064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043518229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944952,0.00075925357,0.0010972681,0.00051429844,0.00034195735,0.00038165817,0.00010702339,0.000017032437,0.0022863143],"genre_scores_gemma":[0.9957396,0.0020709287,0.0010610016,0.0007605019,0.00008214363,0.00010707788,0.00007789801,0.000017449147,0.00008339508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986276,0.000011899713,0.0007339319,0.00034868822,0.00000840236,0.00026949923],"domain_scores_gemma":[0.9993188,0.000043629738,0.00039536416,0.00016925856,0.0000035491194,0.00006941341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059505453,0.000104619176,0.00030861105,0.00013160297,0.00014028583,0.000016080505,0.00010611249,0.00007589708,0.00009402864],"category_scores_gemma":[0.000016284997,0.00014436246,0.000062111154,0.00003985655,0.000036159265,0.00027966883,0.000022172388,0.00006990749,0.000114278264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067212777,0.000043520686,0.9796795,0.000023553162,0.000008241947,8.423544e-8,0.0004952513,0.0018189166,3.052716e-7,0.016217161,0.00015883223,0.0015479128],"study_design_scores_gemma":[0.0007892547,0.00007210542,0.97102535,0.0000063110238,7.263954e-7,0.0000028550635,0.00006321726,0.0055500814,0.00002770214,0.014571425,0.007723373,0.00016758594],"about_ca_topic_score_codex":0.00035184307,"about_ca_topic_score_gemma":0.00045142305,"teacher_disagreement_score":0.008654136,"about_ca_system_score_codex":0.00051957736,"about_ca_system_score_gemma":0.000044410495,"threshold_uncertainty_score":0.588693},"labels":[],"label_agreement":null},{"id":"W2043756850","doi":"10.1111/j.1744-7976.2002.tb00354.x","title":"Consumers’ Valuation of Functional Properties of Foods: Results from a Canada‐wide Survey","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Functional food; Telephone survey; Health claims on food labels; Product (mathematics); Valuation (finance); Marketing; Business; Advertising; Economics; Medicine; Food science; Mathematics","score_opus":0.19054986601544507,"score_gpt":0.1498205763921137,"score_spread":0.04072928962333136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043756850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903949,0.0017548666,0.000017292175,0.0012639277,0.0014160563,0.0002252555,0.003615184,0.0000028552226,0.0013096662],"genre_scores_gemma":[0.9986027,0.00020648882,0.000107645414,0.00016364407,0.00017386038,0.0000063427706,0.00023617632,0.00002423533,0.00047893252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965181,0.00005795557,0.0025012158,0.0004178034,0.000018538616,0.0004864135],"domain_scores_gemma":[0.99590236,0.00022575425,0.0027123715,0.00031092128,0.0001697968,0.0006788104],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009254788,0.00028982922,0.0009582338,0.00031927656,0.00012280671,0.00004714804,0.00042380838,0.000157432,0.0010583013],"category_scores_gemma":[0.00052713277,0.00030174616,0.0002471201,0.00012492134,0.00018723552,0.0005711924,0.000023988154,0.00021644107,0.00005703363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026092824,0.00011501192,0.9211318,0.000097657445,0.0014603747,0.0000138200785,0.00438649,0.0429471,0.00035867226,0.013160816,0.014922569,0.0011447639],"study_design_scores_gemma":[0.0015589395,0.0001817588,0.9914192,0.00007321756,0.000044204153,0.000033105352,0.00092975004,0.0008884294,0.00062702433,0.0015481834,0.0022750783,0.00042111258],"about_ca_topic_score_codex":0.916478,"about_ca_topic_score_gemma":0.993184,"teacher_disagreement_score":0.07670603,"about_ca_system_score_codex":0.002478646,"about_ca_system_score_gemma":0.0006047544,"threshold_uncertainty_score":0.9999435},"labels":[],"label_agreement":null},{"id":"W2044491076","doi":"10.1371/journal.pone.0103002","title":"Valuation, Categories and Attributes","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universiteit van Tilburg; National Center for Advancing Translational Sciences; University of Toronto; Canadian Food Inspection Agency","keywords":"Value (mathematics); Valuation (finance); Statistics; Mathematics; Computer science; Business","score_opus":0.18553650678118644,"score_gpt":0.19283966196529095,"score_spread":0.007303155184104515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044491076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98723,0.0005086621,0.0022511038,0.000860916,0.000032906977,0.00008945292,0.000016520407,0.000020437546,0.008989971],"genre_scores_gemma":[0.9970381,0.00018173637,0.0014087792,0.00019533075,0.000074136085,0.000017646313,0.00002883521,0.000009014208,0.0010464045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994951,0.000008086778,0.00020780851,0.00017341446,0.000019868456,0.000095716176],"domain_scores_gemma":[0.9997118,0.000033472035,0.00009339025,0.00011989304,0.0000063382618,0.00003506738],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036758382,0.000057924153,0.0001578273,0.00004126272,0.00006551647,0.000028755698,0.000045323886,0.000035905014,0.00036193323],"category_scores_gemma":[0.000092486494,0.00007173088,0.000015153186,0.000029940882,0.000038088554,0.00014818223,0.000025827432,0.00003628764,0.0009969939],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015373272,0.00012359626,0.8190266,0.000017437262,0.00004393445,2.9212542e-8,0.00016555698,0.00001508135,0.0001465039,0.17999648,0.00012008639,0.00034318116],"study_design_scores_gemma":[0.00037667647,0.00006677496,0.8084456,0.000008850978,0.000017648728,3.2029635e-7,0.000030430128,0.007238323,0.0014913087,0.18080193,0.0013589656,0.00016316921],"about_ca_topic_score_codex":0.000033870438,"about_ca_topic_score_gemma":0.00000479602,"teacher_disagreement_score":0.010580989,"about_ca_system_score_codex":0.000036179837,"about_ca_system_score_gemma":0.0000019228767,"threshold_uncertainty_score":0.99978083},"labels":[],"label_agreement":null},{"id":"W2044503699","doi":"10.1257/mic.4.4.145","title":"Truth in Consequentiality: Theory and Field Evidence on Discrete Choice Experiments","year":2012,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":373,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Université Laval","funders":"","keywords":"Public good; Incentive; Complement (music); Economics; Microeconomics; Discrete choice; Preference; Field (mathematics); Experimental economics; Econometrics; Mathematical economics; Mathematics","score_opus":0.08805616320464946,"score_gpt":0.28977610886733934,"score_spread":0.2017199456626899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044503699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909144,0.0027560615,0.0005920088,0.00063642545,0.0010806237,0.00019051635,0.000047105874,0.000014397139,0.0037684487],"genre_scores_gemma":[0.9944228,0.0023163282,0.0004884831,0.0021170566,0.0003948159,0.000023147217,0.0000056954627,0.000046503865,0.00018516813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766845,0.00011566252,0.0011028025,0.0004827954,0.000019008365,0.0006112651],"domain_scores_gemma":[0.99761325,0.0008112986,0.0009395121,0.0003484808,0.0000037774093,0.0002836552],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0021453542,0.00029335765,0.0006446466,0.0003050249,0.00014315642,0.00015327078,0.00028964804,0.00008779836,0.0010120729],"category_scores_gemma":[0.00020653711,0.0003590003,0.0001435581,0.000045567467,0.0002983073,0.0011143062,0.00011268348,0.0003726546,0.0011424576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015065551,0.000085280306,0.9254482,0.000007720421,0.00010650722,0.0000017932163,0.00079272996,0.0001846592,0.00013887927,0.067207314,0.00043222326,0.005444042],"study_design_scores_gemma":[0.0035402114,0.00093350897,0.9256107,0.00016527256,0.000051933966,0.00031520092,0.004521973,0.0006309898,0.0041211606,0.036597997,0.021535488,0.0019755624],"about_ca_topic_score_codex":0.00045654806,"about_ca_topic_score_gemma":0.000039845167,"teacher_disagreement_score":0.030609315,"about_ca_system_score_codex":0.0010858678,"about_ca_system_score_gemma":0.00003745907,"threshold_uncertainty_score":0.9999011},"labels":[],"label_agreement":null},{"id":"W2044760061","doi":"10.1080/02255189.2009.9669220","title":"The Value of Managing Urban Solid Waste: Evidence from Enugu State, Nigeria","year":2009,"lang":"fr","type":"article","venue":"Canadian Journal of Development Studies/Revue canadienne d études du développement","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Referendum; Contingent valuation; Valuation (finance); Willingness to pay; Payment; Empirical evidence; Public economics; Business; Politics; Municipal solid waste; Value for money; Environmental economics; Economics; Environmental planning; Geography; Finance; Political science; Engineering; Microeconomics; Waste management","score_opus":0.09060866705561826,"score_gpt":0.22740241811202655,"score_spread":0.13679375105640829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044760061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88137996,0.086090766,0.0004737405,0.026301514,0.00498697,0.00038465508,0.00012420236,0.0000039079923,0.00025429044],"genre_scores_gemma":[0.96798223,0.026182147,0.0033171051,0.0006408008,0.0004321173,0.000016506243,0.000016739012,0.000041414478,0.001370956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952714,0.00009884633,0.0027906932,0.0005321616,0.00009369825,0.0012132109],"domain_scores_gemma":[0.995949,0.00030782708,0.0021877566,0.00044153215,0.00024779828,0.0008660943],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028141171,0.00048023098,0.0011035452,0.00047330157,0.0008215878,0.0001400256,0.0008968501,0.00013142121,0.00023642778],"category_scores_gemma":[0.0004840597,0.0005281751,0.00023843683,0.0003374971,0.00035228685,0.0005117371,0.00009929199,0.00037215123,0.0000631657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009188563,0.00014155296,0.7853293,0.00026277226,0.0037086264,0.00028367675,0.100083314,0.008310642,0.00006221386,0.017148145,0.022352653,0.062225256],"study_design_scores_gemma":[0.0016351726,0.00071180466,0.8469329,0.0033847182,0.0001585974,0.000068012436,0.021629304,0.0005585614,0.00076239166,0.013974144,0.10890292,0.0012815009],"about_ca_topic_score_codex":0.008578443,"about_ca_topic_score_gemma":0.27399018,"teacher_disagreement_score":0.26541173,"about_ca_system_score_codex":0.008022356,"about_ca_system_score_gemma":0.0014745406,"threshold_uncertainty_score":0.999717},"labels":[],"label_agreement":null},{"id":"W2045416583","doi":"10.1016/s0277-9536(03)00321-6","title":"The impact of information on non-health attributes on willingness to pay for multiple health care programmes","year":2003,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of California, San Francisco; Canadian Institutes of Health Research; European Commission; Newcastle University","keywords":"Willingness to pay; Context (archaeology); Health care; Contingent valuation; Affect (linguistics); Medicine; Test (biology); Valuation (finance); Actuarial science; Environmental health; Psychology; Business; Economics; Economic growth; Geography","score_opus":0.07399436448390811,"score_gpt":0.32455833324794814,"score_spread":0.25056396876404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045416583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796237,0.0003089101,0.0051498837,0.009208889,0.00061255705,0.001608215,0.00016213716,0.0000148781955,0.0033108355],"genre_scores_gemma":[0.99890596,0.00005517771,0.000085966356,0.0007722738,0.00007868178,0.000048936516,0.000028163997,0.0000044949306,0.000020368014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900466,0.000012472364,0.00043873762,0.00016040241,0.00007514033,0.0003085744],"domain_scores_gemma":[0.9992671,0.00008165891,0.00039901488,0.00011546613,0.000030672007,0.00010609015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020226028,0.00008237831,0.00023304863,0.00008472588,0.0006327964,0.000022909686,0.00015049885,0.000026839936,0.000012760913],"category_scores_gemma":[0.00043467953,0.000053547526,0.0000563899,0.00026610214,0.00018987231,0.0001722037,0.000008995525,0.00005763336,0.00002282107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008846984,0.00012401814,0.61278415,0.00007546218,0.000023313061,2.849183e-8,0.06969199,0.0015747846,0.000015971968,0.119202495,0.0066387756,0.18978053],"study_design_scores_gemma":[0.0017003138,0.0036996675,0.95675415,0.00006112032,0.0000022463664,2.4595025e-7,0.007986225,0.00096585,0.00011310139,0.005319154,0.023199474,0.00019845895],"about_ca_topic_score_codex":0.00074449717,"about_ca_topic_score_gemma":0.00003754044,"teacher_disagreement_score":0.34396997,"about_ca_system_score_codex":0.0008061876,"about_ca_system_score_gemma":0.00014615287,"threshold_uncertainty_score":0.48670223},"labels":[],"label_agreement":null},{"id":"W2045873446","doi":"10.1016/j.resconrec.2014.12.007","title":"Diversion, but at what cost? The economic challenges of recycling in Ontario","year":2015,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Core (optical fiber); Cost analysis; Materials management; Business; Waste management; Operations management; Environmental economics; Engineering; Operations research; Economics","score_opus":0.21361778751137742,"score_gpt":0.22619996890762495,"score_spread":0.012582181396247533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045873446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98687327,0.005799277,0.000024280684,0.002804797,0.00026240313,0.00018715652,0.00000450977,0.00000836102,0.0040359446],"genre_scores_gemma":[0.99358785,0.004859469,0.0001225066,0.00033692076,0.00003555376,0.0000118319,0.000010150619,0.000010227714,0.0010254626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990179,0.000033142762,0.0005286663,0.0002564894,0.000028957229,0.0001348583],"domain_scores_gemma":[0.999276,0.00013774271,0.00035524377,0.00016610145,0.000007772522,0.000057131143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010742499,0.00009787817,0.00023828004,0.000103598344,0.00009410028,0.000047118734,0.00010731586,0.00008664079,0.000106083135],"category_scores_gemma":[0.000047029975,0.00009370473,0.00004429745,0.000032564494,0.000087197135,0.00036480502,0.000096366864,0.00011175651,0.00009360668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041752606,0.00001733691,0.9797218,0.0000122114425,0.000021601662,5.172864e-7,0.008941226,0.002472891,0.000016654787,0.0051946747,0.00011572951,0.0034436001],"study_design_scores_gemma":[0.0014519393,0.000056242345,0.9032015,0.00010670961,0.000009630028,0.000005463024,0.009656805,0.010969518,0.00012722929,0.0078374855,0.066323824,0.00025365385],"about_ca_topic_score_codex":0.016674643,"about_ca_topic_score_gemma":0.028711297,"teacher_disagreement_score":0.0765203,"about_ca_system_score_codex":0.0005627444,"about_ca_system_score_gemma":0.000022466713,"threshold_uncertainty_score":0.9898734},"labels":[],"label_agreement":null},{"id":"W2046001498","doi":"10.1111/j.0008-4085.2004.010_1.x","title":"An incremental analysis of the value of expanding a wilderness area","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Victoria; Natural Resources Canada","funders":"","keywords":"Wilderness; Wilderness area; Value (mathematics); Logging; Current (fluid); Geography; Environmental science; Environmental resource management; Forestry; Mathematics; Statistics; Geology; Ecology","score_opus":0.19373888725448493,"score_gpt":0.18720624664969338,"score_spread":0.006532640604791556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046001498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968257,0.00025920867,0.0003861754,0.00036223335,0.00065000093,0.00018483248,0.0005566935,0.0000020494288,0.0007730879],"genre_scores_gemma":[0.99915206,0.00007500145,0.00040930172,0.00016017354,0.00009739346,0.0000061266023,0.000024551615,0.00003107994,0.000044302422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99763393,0.000031942374,0.0016044008,0.00031916556,0.0000029830317,0.0004075755],"domain_scores_gemma":[0.9967947,0.00004701988,0.001988359,0.0005312076,0.000044098746,0.00059461704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009891113,0.00021398712,0.0009329435,0.0010873419,0.00012224505,0.00004336662,0.0007122096,0.00014805267,0.0003905411],"category_scores_gemma":[0.00007950907,0.00024441394,0.00051995687,0.00031522155,0.00024743952,0.00054944307,0.000027954176,0.00019167754,0.0000072106304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017210836,0.000033110256,0.40952897,0.000015657657,0.0006834199,0.000003587476,0.0015470576,0.18306158,0.00009612512,0.40484706,0.000009957428,0.00015623399],"study_design_scores_gemma":[0.0025304456,0.0006419153,0.64828295,0.00015756678,0.00062900357,0.0000956806,0.002478295,0.012514223,0.0034946308,0.32773364,0.00062254723,0.0008191426],"about_ca_topic_score_codex":0.15898277,"about_ca_topic_score_gemma":0.7653995,"teacher_disagreement_score":0.60641676,"about_ca_system_score_codex":0.0023445755,"about_ca_system_score_gemma":0.0005577685,"threshold_uncertainty_score":0.9966911},"labels":[],"label_agreement":null},{"id":"W2046061070","doi":"10.3375/043.032.0208","title":"Conservation Approaches to Protecting Critical Habitats and Species on Private Property","year":2012,"lang":"en","type":"article","venue":"Natural Areas Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Technion-Israel Institute of Technology; McGill University; University of Cincinnati; Hebrew University of Jerusalem; University of California, Santa Cruz","keywords":"Threatened species; Business; Habitat; Wildlife conservation; Easement; Critical habitat; Private property; Wildlife; Recreation; Habitat conservation; Environmental resource management; Environmental planning; Government (linguistics); Endangered species; Property rights; Natural resource economics; Geography; Ecology; Economics; Political science","score_opus":0.3407078401352965,"score_gpt":0.2434229922481293,"score_spread":0.09728484788716718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046061070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880394,0.0006622736,0.0005814961,0.006404713,0.0004156742,0.00019588204,0.0000063564526,0.000011541686,0.0036826732],"genre_scores_gemma":[0.99578136,0.000022332113,0.0025847487,0.0006625757,0.00034811255,0.000012401526,0.0000028623615,0.000011397918,0.0005742226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924093,0.000025713161,0.00030024833,0.00015655656,0.000039113456,0.00023743782],"domain_scores_gemma":[0.99960434,0.00005786023,0.00011877295,0.00007317471,0.0000070346646,0.00013880324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007713922,0.000101050726,0.00015554517,0.000089952744,0.00025086093,0.00010051786,0.00006529623,0.00005148628,0.00013410897],"category_scores_gemma":[0.00041928492,0.0000783403,0.00003944252,0.00004951188,0.000045159486,0.00050866837,0.000037943275,0.00032383463,0.00021720974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004502774,0.00008670007,0.92988324,0.000018569901,0.00002448267,9.685551e-7,0.0008744146,0.000048030055,0.0001869553,0.06284071,0.0006020762,0.0053888066],"study_design_scores_gemma":[0.00024663002,0.00008897836,0.9849118,0.000026918691,0.0000038686835,0.000072651266,0.00015778533,0.0007703756,0.0003069699,0.006764969,0.006479815,0.00016923842],"about_ca_topic_score_codex":0.000007214949,"about_ca_topic_score_gemma":0.0000017141738,"teacher_disagreement_score":0.056075737,"about_ca_system_score_codex":0.000159405,"about_ca_system_score_gemma":0.000003583111,"threshold_uncertainty_score":0.31946248},"labels":[],"label_agreement":null},{"id":"W2046215353","doi":"","title":"Willingness-to-Pay For Information: Experimental Evidence on Product Traceability From the U.S.A., Canada, the U.K., and Japan","year":2003,"lang":"en","type":"article","venue":"Digital Commons - USU (Utah State University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traceability; Product (mathematics); Business; Common value auction; Willingness to pay; Marketing; Inefficiency; Environmental economics; Industrial organization; Computer science; Economics; Microeconomics","score_opus":0.05790298706623447,"score_gpt":0.1937663676583239,"score_spread":0.1358633805920894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046215353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98866963,0.00015180321,0.0004521088,0.001806066,0.00014827582,0.0005214359,0.00095479557,0.000013502296,0.007282398],"genre_scores_gemma":[0.9989273,0.000019078629,0.000049772058,0.00034908287,0.000014405859,0.000005440005,0.000043501976,0.000006522886,0.0005849243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999339,0.00001943292,0.00021536349,0.00022592251,0.000039281957,0.00016101277],"domain_scores_gemma":[0.9992201,0.00027686582,0.0001278707,0.0002952812,0.000012485547,0.000067431494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020549963,0.000116578754,0.00014034807,0.00003811664,0.000316508,0.00014395827,0.00021907722,0.000020549985,0.000036372097],"category_scores_gemma":[0.00011613708,0.0000921447,0.000044403012,0.00011580295,0.000083645406,0.00091465,0.000057634446,0.00008557761,0.00003972796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016827435,0.00013186804,0.9271084,0.0000138794085,0.00009812521,0.0000012946527,0.0042725694,0.0020583,0.000007234089,0.057157468,0.0048110476,0.004171522],"study_design_scores_gemma":[0.0006594191,0.00018936442,0.5291726,0.0000203144,0.0000114739,0.0000016528165,0.0036385518,0.0005161163,0.00031387038,0.0027312052,0.46239418,0.0003512163],"about_ca_topic_score_codex":0.013309369,"about_ca_topic_score_gemma":0.010765449,"teacher_disagreement_score":0.45758313,"about_ca_system_score_codex":0.00031335588,"about_ca_system_score_gemma":0.000048329777,"threshold_uncertainty_score":0.9932611},"labels":[],"label_agreement":null},{"id":"W2046425032","doi":"10.1016/j.socscimed.2012.10.007","title":"Best worst discrete choice experiments in health: Methods and an application","year":2012,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Medical Research Council; National Institute for Health and Care Research","keywords":"Relevance (law); Discrete choice; Preference; Task (project management); Preference elicitation; Computer science; Revealed preference; Quality (philosophy); Public health; Management science; Key (lock); Econometrics; Data science; Public economics; Economics; Operations research; Risk analysis (engineering); Microeconomics; Medicine; Mathematics; Political science; Epistemology","score_opus":0.17307637827263433,"score_gpt":0.41229243392445225,"score_spread":0.23921605565181792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046425032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980072,0.0021641387,0.0056121433,0.0018016078,0.00032963528,0.00022746748,0.0000042291617,0.000010048594,0.009778695],"genre_scores_gemma":[0.9981981,0.00010618066,0.0007592403,0.00046917528,0.00033840252,0.00003010925,0.0000074668465,0.0000059700483,0.00008538449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990656,0.00002761114,0.0003300876,0.00025511417,0.000043414173,0.00027818079],"domain_scores_gemma":[0.99953634,0.00002273018,0.00018473859,0.000104783474,0.00000340892,0.00014801712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002961927,0.00006987422,0.00019038947,0.00011005613,0.00021892438,0.000013307938,0.00012115069,0.000035171684,0.000108776316],"category_scores_gemma":[0.00006940468,0.000072511975,0.000010928123,0.00023443098,0.00042170007,0.00060380046,0.00003198081,0.0000652185,0.00003658443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002053762,0.000059934773,0.9070619,0.000007133726,0.0000017519488,2.0968537e-8,0.015196892,0.0000024452036,0.00081471115,0.04591001,0.000035611076,0.030907573],"study_design_scores_gemma":[0.00045143682,0.00007445156,0.9830834,0.000010662529,0.0000015862404,4.8070075e-7,0.0019561455,0.00079784304,0.00009154144,0.0050490736,0.008355294,0.00012802907],"about_ca_topic_score_codex":0.0016812655,"about_ca_topic_score_gemma":0.00002989244,"teacher_disagreement_score":0.07602159,"about_ca_system_score_codex":0.00029400203,"about_ca_system_score_gemma":0.000010664051,"threshold_uncertainty_score":0.29569525},"labels":[],"label_agreement":null},{"id":"W2046863655","doi":"10.2495/ws110161","title":"Understanding the acceptance of market-based instruments for the ecosystem service of water quality","year":2011,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; University of Calgary","funders":"Alberta Innovates; Canadian Water Network","keywords":"Accountability; Context (archaeology); Mandate; Environmental resource management; Quality (philosophy); Business; Legitimacy; Set (abstract data type); Environmental planning; Computer science; Political science; Environmental science; Geography","score_opus":0.1741120261637792,"score_gpt":0.21348270314648718,"score_spread":0.03937067698270799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046863655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7900329,0.00009905325,0.20511763,0.0019606205,0.00022813237,0.0008063293,0.00013666495,0.000004325992,0.0016143508],"genre_scores_gemma":[0.9991432,0.00015571753,0.00013053094,0.0002651652,0.0000055679843,0.00015140387,0.000002550575,0.0000080513655,0.00013780182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999219,0.000064886204,0.00040902436,0.00016045847,0.000024370647,0.00012224032],"domain_scores_gemma":[0.99923426,0.00026317267,0.00022094169,0.00026431252,0.0000020448683,0.00001526537],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011549229,0.00008798277,0.0002028531,0.000028511857,0.00025215212,0.0000042942606,0.00015881086,0.000058763962,0.0012574963],"category_scores_gemma":[0.0000032410644,0.000048837916,0.000086735534,0.00002242342,0.00021247653,0.000053437496,0.000007508668,0.00007762772,0.000027517883],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005641111,0.0027139296,0.39424527,0.0006548983,0.0037553683,4.756451e-7,0.028210599,0.10175426,0.00038808855,0.45403174,0.00010344459,0.008500828],"study_design_scores_gemma":[0.007842962,0.00043704387,0.8762195,0.000022886645,0.00023084832,0.00000250929,0.0048968038,0.042402845,0.005715761,0.06056163,0.0013258253,0.0003413551],"about_ca_topic_score_codex":0.00005870433,"about_ca_topic_score_gemma":0.00014667922,"teacher_disagreement_score":0.48197427,"about_ca_system_score_codex":0.00009921447,"about_ca_system_score_gemma":0.0000034070054,"threshold_uncertainty_score":0.9996555},"labels":[],"label_agreement":null},{"id":"W2046918581","doi":"10.3727/154427310x12682653194925","title":"Assessing the Economic Importance of Recreational Fishing for Communities Along Lake Ontario","year":2010,"lang":"en","type":"article","venue":"Tourism in Marine Environments","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fishing; Recreation; Shore; Socioeconomic status; Economic impact analysis; Geography; Tourism; Recreational fishing; Fishery; Socioeconomics; Environmental resource management; Environmental science; Economics; Ecology; Archaeology; Population","score_opus":0.06135642058831731,"score_gpt":0.23784254522057247,"score_spread":0.17648612463225516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046918581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892552,0.000016928963,0.0002662349,0.00027841105,0.000273276,0.00026548802,0.000048315713,0.000004410073,0.009591768],"genre_scores_gemma":[0.99431926,0.0000354169,0.003448843,0.00010886458,0.000082636856,0.000078339704,0.0001965885,0.000019566938,0.0017105096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989744,0.000014755176,0.00061522913,0.00019074923,0.00002842245,0.0001764412],"domain_scores_gemma":[0.9990863,0.00014617851,0.0004050416,0.00033332832,0.0000011449783,0.00002801521],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084771775,0.00012112688,0.00023184951,0.000067861976,0.00011129936,0.000048867463,0.00024914867,0.00008149219,0.0033368364],"category_scores_gemma":[0.000018333834,0.00013056547,0.00007521763,0.000017583809,0.00011313189,0.00045276462,0.00013561275,0.00024537143,0.000066213164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005085696,0.000038688453,0.9947644,0.0000047719104,0.000018140807,3.1484475e-7,0.00040219017,0.0014970243,0.000026341799,0.0023858934,0.00015973055,0.0006974518],"study_design_scores_gemma":[0.0005461009,0.000016996946,0.97030467,0.000005334602,0.0000049409073,0.0000013726983,0.00019005098,0.001587981,0.00005602287,0.016031565,0.011123027,0.00013192481],"about_ca_topic_score_codex":0.010486109,"about_ca_topic_score_gemma":0.12600039,"teacher_disagreement_score":0.11551428,"about_ca_system_score_codex":0.0003173564,"about_ca_system_score_gemma":0.000019496038,"threshold_uncertainty_score":0.99757427},"labels":[],"label_agreement":null},{"id":"W2047095435","doi":"10.1111/j.1365-2656.2010.01670.x","title":"Mixed conditional logistic regression for habitat selection studies","year":2010,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Russian Science Foundation; Parks Canada","keywords":"Logistic regression; Selection (genetic algorithm); Habitat; Statistics; Ecology; Econometrics; Regression; Mathematics; Biology; Computer science; Machine learning","score_opus":0.1855952846042831,"score_gpt":0.3005015262383795,"score_spread":0.1149062416340964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047095435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99594563,0.00024775707,0.0010610237,0.00097084173,0.0012872958,0.000091711205,0.000026331816,0.0000042528104,0.00036517088],"genre_scores_gemma":[0.9946608,0.0000887303,0.004517341,0.00016912638,0.00036508447,0.000009734091,0.000008157638,0.000009069436,0.00017193767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913955,0.000011642973,0.0005723231,0.00012609726,0.000018791303,0.00013160172],"domain_scores_gemma":[0.9989508,0.00017988258,0.0007266646,0.000045099325,0.000054833836,0.000042714128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006637939,0.00007737333,0.0003016774,0.00013112767,0.0000989636,0.000011637945,0.000079176396,0.000102690516,0.00031898086],"category_scores_gemma":[0.00037111645,0.00007470939,0.00011275481,0.000032546614,0.00009467973,0.00018792307,0.00001857697,0.00017232982,0.00008350622],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034815786,0.00022911062,0.7567575,0.000035312,0.00024577838,0.000004372611,0.00017183945,0.00030393823,0.009621003,0.21699321,0.014810458,0.00047929698],"study_design_scores_gemma":[0.0010356983,0.0015249762,0.90104216,0.000005091687,0.00002031475,0.00010002109,0.00017375528,0.0011735053,0.00048389687,0.08859962,0.005729761,0.0001111802],"about_ca_topic_score_codex":0.0000015169985,"about_ca_topic_score_gemma":0.00005545768,"teacher_disagreement_score":0.14428465,"about_ca_system_score_codex":0.00012563664,"about_ca_system_score_gemma":0.00002117057,"threshold_uncertainty_score":0.34926167},"labels":[],"label_agreement":null},{"id":"W2047231774","doi":"10.1139/x04-184","title":"Forest harvesting, resource-based tourism, and remoteness: an analysis of northern Ontario's sport fishing tourism","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Alberta; Ministry of the Environment, Conservation and Parks","funders":"Ministry of Natural Resources; Northwestern University","keywords":"Fishing; Tourism; Revenue; Resource (disambiguation); Business; Forest management; Geography; Recreation; Environmental resource management; Natural resource economics; Economics; Fishery; Forestry; Ecology; Finance; Computer science","score_opus":0.09738330026844348,"score_gpt":0.255059059965645,"score_spread":0.1576757596972015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047231774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953553,0.000544861,0.00022969209,0.00078443915,0.000046250578,0.00011012519,0.00003716266,0.0000023651971,0.0028898118],"genre_scores_gemma":[0.9979708,0.000017462458,0.00080957264,0.00007370935,0.00016663873,0.000002156394,0.00003786631,0.000022050152,0.0008997042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828273,0.0000404093,0.00084725785,0.00026689496,0.00012449967,0.00043821658],"domain_scores_gemma":[0.9983695,0.00007823665,0.00050784164,0.0003159645,0.00009789877,0.0006305466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030798265,0.00012585871,0.00047806156,0.0016081199,0.00021826068,0.00013670023,0.00036251513,0.00012276742,0.00050378946],"category_scores_gemma":[0.00015758192,0.00014233419,0.00016046446,0.00038197494,0.00021743424,0.0004976412,0.000024174886,0.00043241432,0.000016504722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017729148,0.00002606098,0.9557208,0.000008072858,0.00011807532,0.000037195343,0.0006862758,0.04083857,0.0000019561844,0.000731168,0.00021568053,0.001598405],"study_design_scores_gemma":[0.00037362854,0.00018689234,0.9737004,0.000030965053,0.000045441844,0.000010224712,0.00023839586,0.007038666,0.000014025,0.0009783738,0.01724866,0.00013431566],"about_ca_topic_score_codex":0.37415648,"about_ca_topic_score_gemma":0.9838372,"teacher_disagreement_score":0.6096807,"about_ca_system_score_codex":0.0010502841,"about_ca_system_score_gemma":0.0005335489,"threshold_uncertainty_score":0.6300111},"labels":[],"label_agreement":null},{"id":"W2047902775","doi":"10.3758/s13428-012-0186-0","title":"MorePower 6.0 for ANOVA with relational confidence intervals and Bayesian analysis","year":2012,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":645,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Statistics; Analysis of variance; Confidence interval; Bayesian probability; Statistical power; Computer science; Mixed-design analysis of variance; One-way analysis of variance; Calculator; Interpretation (philosophy); Sample size determination; Repeated measures design; Factorial; Mathematics","score_opus":0.5923435475429615,"score_gpt":0.5003782614832487,"score_spread":0.09196528605971277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047902775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55625474,0.0007796054,0.43976954,0.0001682202,0.000066344466,0.0004445122,0.00005945637,0.000010386774,0.0024471798],"genre_scores_gemma":[0.8398661,0.00004053183,0.15860227,0.000030361596,0.000047218884,0.00028889978,0.00003333528,0.000016391677,0.0010748834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987342,0.00013591055,0.0003708248,0.00033309177,0.00006478443,0.00036120304],"domain_scores_gemma":[0.999046,0.00037346824,0.00013482157,0.00026183014,0.000035595145,0.00014828052],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0070586773,0.0000970536,0.0002799753,0.00039222036,0.00015525817,0.000051275223,0.00010652227,0.000077611556,0.001050009],"category_scores_gemma":[0.00021737273,0.00009804245,0.00008592045,0.00031374767,0.00018353549,0.0003839789,0.000067143315,0.00015542147,0.000051666175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018494362,0.00008043282,0.9192701,0.000007571068,0.00009760082,3.5819846e-7,0.00041515968,0.000018140554,0.0001331264,0.07629962,0.00007352663,0.0035858452],"study_design_scores_gemma":[0.00031705544,0.00010102019,0.9888505,0.00000449428,0.000060952905,0.000004624929,0.00024252085,0.0015748215,0.00037351405,0.0046645263,0.0036540146,0.00015197655],"about_ca_topic_score_codex":0.00012202102,"about_ca_topic_score_gemma":0.0000112615735,"teacher_disagreement_score":0.28361136,"about_ca_system_score_codex":0.00013327587,"about_ca_system_score_gemma":0.000012084505,"threshold_uncertainty_score":0.99986315},"labels":[],"label_agreement":null},{"id":"W2048264783","doi":"10.3758/bf03196857","title":"Convex hull or crossing avoidance? Solution heuristics in the traveling salesperson problem","year":2004,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Convex hull; Heuristics; Hull; Boundary (topology); Mathematical optimization; Regular polygon; Euclidean geometry; Mathematics; Psychology; Computer science; Geometry; Engineering","score_opus":0.13155600902860004,"score_gpt":0.24119667927668353,"score_spread":0.1096406702480835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048264783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9703547,0.0003452286,0.018093443,0.00065427896,0.00020914436,0.00039255965,0.00004357191,0.000026511741,0.009880584],"genre_scores_gemma":[0.997361,0.00011709519,0.0014091555,0.0005819915,0.00013687424,0.000048204234,0.00009099642,0.000017818958,0.00023683635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989473,0.00002655304,0.00046755307,0.00029166267,0.00004194653,0.00022493272],"domain_scores_gemma":[0.99956626,0.00004396023,0.00021490207,0.00013732663,0.000009474632,0.000028081598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007865314,0.00012358438,0.0001860394,0.000078811514,0.00025648178,0.00012532112,0.00010410133,0.00008680013,0.00021504858],"category_scores_gemma":[0.00005394409,0.000119499164,0.00005582519,0.000119820426,0.00010715798,0.0002857385,0.000015670443,0.00016930414,0.00068023015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020820173,0.007303494,0.2913264,0.0021536122,0.0005500784,0.0003600116,0.2216756,0.10872066,0.030094713,0.1844739,0.003981262,0.14727826],"study_design_scores_gemma":[0.010840437,0.00057862565,0.7157032,0.00047653442,0.00008726996,0.00012922545,0.008987684,0.017247425,0.004186367,0.23642474,0.0037972617,0.0015412373],"about_ca_topic_score_codex":0.00016617488,"about_ca_topic_score_gemma":0.00016657812,"teacher_disagreement_score":0.4243768,"about_ca_system_score_codex":0.0002714961,"about_ca_system_score_gemma":0.000026146678,"threshold_uncertainty_score":0.8743209},"labels":[],"label_agreement":null},{"id":"W2048286270","doi":"10.7557/2.32.2.2269","title":"A guide to developing resource selection functions from telemetry data using generalized estimating equations and generalized linear mixed models","year":2012,"lang":"en","type":"article","venue":"Rangifer","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Parks Canada; University of Manitoba","funders":"University of Manitoba","keywords":"Generalized linear mixed model; Generalized estimating equation; Generalized linear model; Statistics; Model selection; Computer science; Mathematics","score_opus":0.27691075727045245,"score_gpt":0.2993988143980237,"score_spread":0.022488057127571237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048286270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4776448,0.00044303064,0.52088904,0.00013998814,0.00019890371,0.00013809901,0.00015212191,0.00002602788,0.000368005],"genre_scores_gemma":[0.51486117,0.000020251791,0.48305282,0.00044280608,0.000506892,0.000024078501,0.00049714645,0.000035117588,0.00055972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986747,0.000036704063,0.00055418094,0.00040694757,0.00004099718,0.00028650908],"domain_scores_gemma":[0.9992726,0.00007545635,0.00018276965,0.000341361,0.000011837331,0.00011596282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072737393,0.00014828164,0.0002611553,0.0001753134,0.00027522526,0.00005718979,0.00014026597,0.00008723131,0.00024555533],"category_scores_gemma":[0.00014363231,0.00018341375,0.00004003511,0.00018685596,0.000019943449,0.0007402381,0.00018332488,0.00008020045,0.00020684948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089561014,0.00022021602,0.2588496,0.000048908918,0.0006007859,7.203576e-7,0.0031345412,0.6505949,0.005750968,0.056848213,0.012204229,0.011657381],"study_design_scores_gemma":[0.00068939076,0.000008775725,0.012340075,0.00001438016,0.000035062163,0.0000027117653,0.00010353897,0.9713647,0.00010626528,0.0014492013,0.013605533,0.00028041643],"about_ca_topic_score_codex":0.0013776072,"about_ca_topic_score_gemma":0.000047114296,"teacher_disagreement_score":0.32076976,"about_ca_system_score_codex":0.00024733588,"about_ca_system_score_gemma":0.000017291857,"threshold_uncertainty_score":0.7479396},"labels":[],"label_agreement":null},{"id":"W2048545192","doi":"10.5539/enrr.v2n4p114","title":"Environmental Multifunctionality of Paddy Fields in Taiwan- A Conjunction Evaluation Method of Contingent Valuation Method and Analytic Network Procedures","year":2012,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Production (economics); Recreation; Valuation (finance); Agricultural economics; Nonmarket forces; Paddy field; Business; Agricultural science; Natural resource economics; Economics; Environmental science; Willingness to pay; Geography; Microeconomics; Ecology","score_opus":0.13836960380113678,"score_gpt":0.3361499604016368,"score_spread":0.19778035660050003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048545192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837142,0.010912452,0.0042180894,0.00015739727,0.00007453218,0.00056722696,0.000017695591,0.0000030963354,0.0003352652],"genre_scores_gemma":[0.99532634,0.00081216067,0.003454681,0.000021363632,0.00008226771,0.000058722886,0.000038862006,0.0000114112245,0.00019420766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981096,0.0003607404,0.00061722955,0.00036126372,0.00025080598,0.00030035217],"domain_scores_gemma":[0.9991513,0.0002850677,0.00031285518,0.00016724963,0.000008818112,0.00007472077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008430559,0.0001301921,0.00032227844,0.00022676376,0.000103292434,0.000014419789,0.000074158226,0.00012701187,0.00044745544],"category_scores_gemma":[0.00021868073,0.00013457843,0.00005586114,0.000116353855,0.00018124451,0.0002514978,0.0001234817,0.00024615217,0.0000141310775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109810964,0.00015341045,0.9678615,0.000056139375,0.00006094796,9.141161e-8,0.001913965,0.0038174042,0.0014994456,0.0013810687,0.0000355541,0.023110677],"study_design_scores_gemma":[0.0008467593,0.00011278478,0.9482091,0.000019484252,0.000022737313,0.0000020665664,0.00061495637,0.044043224,0.00041802452,0.0049615162,0.00062617974,0.0001231701],"about_ca_topic_score_codex":0.00014707918,"about_ca_topic_score_gemma":0.000017055212,"teacher_disagreement_score":0.040225822,"about_ca_system_score_codex":0.0002396591,"about_ca_system_score_gemma":0.000008103262,"threshold_uncertainty_score":0.54879487},"labels":[],"label_agreement":null},{"id":"W2049251994","doi":"10.1109/eem.2013.6607335","title":"Accounting for preference heterogeneity among residential energy consumers","year":2013,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Renewable energy; Business; Electricity; Preference; Electricity retailing; Order (exchange); Population; Marketing; Electricity market; Environmental economics; Consumption (sociology); Economics; Microeconomics; Engineering","score_opus":0.11517979048794784,"score_gpt":0.21075857858685781,"score_spread":0.09557878809890998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049251994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96262914,0.00013198449,0.021536106,0.00010448519,0.00021002628,0.00020970443,0.000022181535,0.000026518337,0.015129845],"genre_scores_gemma":[0.99601424,0.000050585277,0.0013499254,0.00022550131,0.00004986799,0.00015540372,0.000028912993,0.000014827271,0.0021107176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911016,0.0000052483206,0.00037226183,0.000294044,0.000015266009,0.00020302163],"domain_scores_gemma":[0.99955106,0.00003402773,0.00018846332,0.00016676217,0.000009220808,0.000050493436],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019020452,0.000093821836,0.00016676346,0.000060733426,0.0000923808,0.00008698722,0.00012093658,0.00006894346,0.0020725199],"category_scores_gemma":[0.000026710773,0.00011033401,0.00007644942,0.000029652854,0.000051477993,0.0005036095,0.000044885972,0.000032741293,0.00084377907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000254075,0.000019612222,0.95736724,0.0000072172347,0.000030184203,4.1715072e-8,0.000026187396,0.00006495101,0.00009631206,0.038997546,0.002126654,0.0012614971],"study_design_scores_gemma":[0.00042114864,0.00002398381,0.96511126,0.0000032196597,0.000004399638,4.4488408e-7,0.000047070207,0.00882496,0.0015219527,0.020424888,0.0034092306,0.0002074246],"about_ca_topic_score_codex":0.0028859186,"about_ca_topic_score_gemma":0.0003555361,"teacher_disagreement_score":0.03338511,"about_ca_system_score_codex":0.00007140647,"about_ca_system_score_gemma":0.0000044330463,"threshold_uncertainty_score":0.9999342},"labels":[],"label_agreement":null},{"id":"W2050134098","doi":"10.1007/bf01673537","title":"The endowment effect and repeated market trials: Is the Vickrey auction demand revealing?","year":2001,"lang":"en","type":"article","venue":"Experimental Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":143,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Vickrey auction; Economics; Valuation (finance); Microeconomics; Generalized second-price auction; Context (archaeology); Endowment; Endowment effect; Econometrics; Auction theory; Common value auction","score_opus":0.0702647754424305,"score_gpt":0.25538020366584385,"score_spread":0.18511542822341337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050134098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96573466,0.015129471,0.00028788,0.0016279094,0.0010078746,0.0007888766,0.00004417867,0.00003811451,0.015341029],"genre_scores_gemma":[0.98787117,0.008593252,0.00007478451,0.0005303258,0.00025087668,0.00016950235,0.000020581205,0.000031284853,0.0024582285],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982201,0.00012791794,0.0008900606,0.00047097073,0.000022737677,0.0002682333],"domain_scores_gemma":[0.99867916,0.00048281145,0.00039207176,0.0003694951,0.000003262366,0.00007319481],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034246207,0.00021492601,0.00040662286,0.00005464126,0.00054197595,0.0002907432,0.00018787009,0.00009318659,0.00098451],"category_scores_gemma":[0.00007036401,0.00016332294,0.00017174725,0.00004993576,0.00015348716,0.0003275768,0.000085252024,0.00012155173,0.00022060322],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030180179,0.00084269803,0.49886698,0.000135451,0.003768616,0.000024308587,0.015883453,0.003134413,0.002716547,0.23682463,0.10998167,0.12480323],"study_design_scores_gemma":[0.0056684106,0.00088851235,0.089972384,0.000056398247,0.00008522932,0.0001889744,0.00260151,0.07891078,0.023800645,0.013781441,0.78265476,0.0013909652],"about_ca_topic_score_codex":0.00018251687,"about_ca_topic_score_gemma":0.000015748165,"teacher_disagreement_score":0.6726731,"about_ca_system_score_codex":0.0004079058,"about_ca_system_score_gemma":0.000009393407,"threshold_uncertainty_score":0.9999287},"labels":[],"label_agreement":null},{"id":"W2050276057","doi":"10.1007/s11842-013-9246-2","title":"Enabling Conditions for Successful Greening of Public Spaces: The Case of Touroua, Cameroon Based on Perceptions","year":2013,"lang":"en","type":"article","venue":"Small-scale Forestry","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Livelihood; Tree planting; Diversification (marketing strategy); Perception; Meaning (existential); Focus group; Geography; Socioeconomics; Marketing; Environmental resource management; Public relations; Economic growth; Business; Political science; Sociology; Psychology; Agriculture; Forestry; Economics","score_opus":0.08999304658638828,"score_gpt":0.23660716422792444,"score_spread":0.14661411764153615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050276057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98424894,0.00007048267,0.011871853,0.00076015596,0.00010231789,0.00043259442,0.00044513555,0.000011649999,0.0020568843],"genre_scores_gemma":[0.9982534,0.000013609311,0.0009712559,0.0000943362,0.000059616268,0.00015776724,0.00010658317,0.00001991786,0.00032350727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905956,0.000015014235,0.0004770358,0.00022530762,0.000022024034,0.00020108439],"domain_scores_gemma":[0.99905187,0.00017987104,0.00036847798,0.00031351895,0.000026758802,0.000059477286],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030700184,0.00011084871,0.00022357934,0.00013492674,0.00016895628,0.00005292737,0.00015930257,0.00008501406,0.0011378066],"category_scores_gemma":[0.00006660867,0.00010590525,0.000151019,0.0000982268,0.00015380839,0.00024474086,0.000030383251,0.00009746189,0.000101228936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009778019,0.00021776005,0.95334965,0.000096761694,0.000055490254,0.0000016456491,0.00047353882,0.011898164,0.00018847777,0.030960485,0.00053127116,0.0022169508],"study_design_scores_gemma":[0.0020045806,0.00049745524,0.7426204,0.000081087426,0.000055257806,0.00003396123,0.009177022,0.21705405,0.0004840947,0.026391372,0.0010804854,0.0005202405],"about_ca_topic_score_codex":0.0008936567,"about_ca_topic_score_gemma":0.0002889615,"teacher_disagreement_score":0.21072929,"about_ca_system_score_codex":0.00006306268,"about_ca_system_score_gemma":0.000017174929,"threshold_uncertainty_score":0.9997753},"labels":[],"label_agreement":null},{"id":"W2051335985","doi":"10.1136/ebmh.7.3.70","title":"DemTect effective in screening for mild cognitive impairment and mild dementia","year":2004,"lang":"en","type":"letter","venue":"Evidence-Based Mental Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Portfolio; Mandate; Business; Sustainable development; Asset (computer security); Socially responsible investing; Sustainability; Investment strategy; Investment (military); Actuarial science; Economics; Finance; Environmental economics; Corporate governance; Computer science; Political science","score_opus":0.144890121375855,"score_gpt":0.29519942302404883,"score_spread":0.15030930164819384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051335985","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22184424,0.07655977,0.016836263,0.66063106,0.0017557379,0.01788282,0.0039995327,0.00011542419,0.00037511587],"genre_scores_gemma":[0.5836851,0.0025685164,0.004237661,0.40503335,0.0007661872,0.0017717239,0.0016693632,0.00013287058,0.00013522121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997088,0.000087247754,0.001011394,0.0010228915,0.00008901623,0.00070140656],"domain_scores_gemma":[0.9983367,0.0005223083,0.00078705506,0.0002144926,0.000009904817,0.00012954004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015126361,0.0004318613,0.00082561607,0.00042377814,0.000263091,0.000065677275,0.00016431542,0.00035355822,0.00016161575],"category_scores_gemma":[0.00005280086,0.00053774926,0.00018865494,0.0001263297,0.0001236223,0.00031688108,0.000071325194,0.0006359225,0.00010508954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019482516,0.000971354,0.6106164,0.008689595,0.0011635439,0.00003849359,0.0042384574,0.0017480887,0.000009146401,0.001404126,0.3326981,0.036474448],"study_design_scores_gemma":[0.026119687,0.0063490933,0.88203216,0.017147303,0.00019068521,0.00001512673,0.000746174,0.004556649,0.00046180794,0.0073214485,0.05180717,0.0032527128],"about_ca_topic_score_codex":0.001510829,"about_ca_topic_score_gemma":0.00014085225,"teacher_disagreement_score":0.36184084,"about_ca_system_score_codex":0.0022254982,"about_ca_system_score_gemma":0.00013843719,"threshold_uncertainty_score":0.9997074},"labels":[],"label_agreement":null},{"id":"W2051781100","doi":"10.1016/j.jenvman.2013.02.032","title":"The impact of information and cost heterogeneity on firm behaviour under an ambient tax/subsidy instrument","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lakehead University","keywords":"Subsidy; Homogeneous; Environmental economics; Pollution; Microeconomics; Outcome (game theory); Business; Economics; Natural resource economics; Public economics; Ecology; Mathematics","score_opus":0.03936767869099411,"score_gpt":0.2180176742986935,"score_spread":0.1786499956076994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051781100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980861,0.00017328988,0.0002954545,0.00013959793,0.00011494564,0.00038002813,0.000043401084,0.000001859225,0.00076534785],"genre_scores_gemma":[0.9984604,0.001093518,0.00020140655,0.000099719575,0.000018713325,0.00001716968,0.000010853323,0.000008411356,0.00008979656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890906,0.000019275942,0.000728319,0.0001118371,0.000080743994,0.0001507934],"domain_scores_gemma":[0.9989469,0.0000141248265,0.0007492492,0.00019363275,0.0000029312368,0.00009316772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004207908,0.00012470954,0.00018727758,0.00011000646,0.000099095756,0.00007163054,0.00015394873,0.000036687725,0.00035712947],"category_scores_gemma":[0.0000026920054,0.00009891165,0.00011421286,0.000026791882,0.00007969577,0.00074238976,0.00008752915,0.00008995228,0.00016356802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063723295,0.00059303746,0.9554574,0.000012340436,0.0002939609,0.0000011370537,0.0002672688,0.008732931,0.00017318242,0.0035636185,0.000584892,0.030256527],"study_design_scores_gemma":[0.00074359553,0.0006034823,0.99500513,0.000008500387,0.000013600448,0.00000572758,0.0005734146,0.00065663474,0.00014239355,0.0016849888,0.00046386206,0.00009868649],"about_ca_topic_score_codex":0.00012541565,"about_ca_topic_score_gemma":0.000004108992,"teacher_disagreement_score":0.03954773,"about_ca_system_score_codex":0.00049798255,"about_ca_system_score_gemma":0.000002484692,"threshold_uncertainty_score":0.40335003},"labels":[],"label_agreement":null},{"id":"W2052231647","doi":"10.1590/s0102-37722006000300009","title":"Características atentivas reveladas por dicas múltiplas locais e globais","year":2006,"lang":"pt","type":"article","venue":"Psicologia Teoria e Pesquisa","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Physics; Psychology","score_opus":0.07042517224559458,"score_gpt":0.22236637162975917,"score_spread":0.1519411993841646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052231647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94447166,0.0018478363,0.0030187154,0.002397997,0.0053216387,0.0009949505,0.00096829794,0.0001507938,0.040828086],"genre_scores_gemma":[0.9733132,0.00038913538,0.0010004374,0.000799038,0.001156638,0.000116493924,0.00041525843,0.00010993182,0.022699852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948154,0.0001184766,0.0020730472,0.001620288,0.00015984323,0.0012129153],"domain_scores_gemma":[0.99708843,0.00027127433,0.0013381713,0.0009705229,0.000046669284,0.00028493747],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011774151,0.00077641977,0.0012933767,0.00028710405,0.00043304046,0.00022946633,0.00068535266,0.0007913108,0.0122265415],"category_scores_gemma":[0.0003029799,0.00096166146,0.0005197276,0.00044803618,0.0004416114,0.00066275976,0.00050989306,0.00057493034,0.022189882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009260725,0.0007325057,0.88658607,0.00007164314,0.00022051015,0.000052842664,0.00018059435,0.00067817565,0.00018452326,0.03174225,0.078460224,0.0009980341],"study_design_scores_gemma":[0.0019222493,0.00034160158,0.88729084,0.00003848696,0.0001678447,0.000030765048,0.00011556123,0.0016336006,0.0002501435,0.0087125935,0.09838426,0.0011120489],"about_ca_topic_score_codex":0.0024649766,"about_ca_topic_score_gemma":0.00022921321,"teacher_disagreement_score":0.02884153,"about_ca_system_score_codex":0.001690101,"about_ca_system_score_gemma":0.00007378746,"threshold_uncertainty_score":0.9992834},"labels":[],"label_agreement":null},{"id":"W2053586361","doi":"10.1111/j.1744-7976.2004.tb00373.x","title":"Agricultural Biotechnology: A Comparison of Consumers' Preferences for Selected Policy Options","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Genome Prairie; Royal Society of Canada","keywords":"Agriculture; Agricultural biotechnology; Food policy; Preference; Mixed logit; Business; Marketing; Revealed preference; Public economics; Economics; Agricultural science; Logistic regression; Food security; Geography; Microeconomics","score_opus":0.07590613941091823,"score_gpt":0.20072439757272612,"score_spread":0.12481825816180789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053586361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904765,0.0012365681,0.0001491534,0.004883786,0.00084577285,0.0004825243,0.0009784263,0.000012914697,0.0009343657],"genre_scores_gemma":[0.99723166,0.00021451127,0.0016933746,0.000098031946,0.00032149046,0.000031952743,0.00015968854,0.0000253436,0.0002239459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99690956,0.000016215345,0.0018843607,0.0004404822,0.000008402978,0.0007409998],"domain_scores_gemma":[0.99679214,0.000081285885,0.0019596298,0.00024600863,0.00014645842,0.0007744513],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038483136,0.00034066677,0.0010820215,0.0007133212,0.0002494563,0.00009542407,0.0006135709,0.0003155321,0.00019041065],"category_scores_gemma":[0.00023385759,0.00033500168,0.0003753733,0.00028394724,0.0002814752,0.00064095936,0.000026382977,0.00028657375,0.00008115417],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061000886,0.00015161299,0.14207642,0.000116807765,0.00093856547,0.0000038275334,0.0039076596,0.0420391,0.00069592264,0.8070802,0.001646838,0.001282022],"study_design_scores_gemma":[0.0034682662,0.0013244924,0.92159283,0.00011739917,0.00011699562,0.00027188275,0.0058870064,0.00014552432,0.0027595002,0.054318324,0.008924197,0.0010735996],"about_ca_topic_score_codex":0.032866105,"about_ca_topic_score_gemma":0.37203485,"teacher_disagreement_score":0.7795164,"about_ca_system_score_codex":0.0030736919,"about_ca_system_score_gemma":0.00068943686,"threshold_uncertainty_score":0.9999102},"labels":[],"label_agreement":null},{"id":"W2053678438","doi":"10.1007/bf02704965","title":"Birds as surrogates for biodiversity: An analysis of a data set from southern Québec","year":2002,"lang":"en","type":"article","venue":"Journal of Biosciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Threatened species; Biodiversity; Endangered species; Scale (ratio); Set (abstract data type); Geography; Ecology; Environmental resource management; Field (mathematics); Conservation biology; Global biodiversity; Biology; Computer science; Cartography; Environmental science; Mathematics","score_opus":0.28133520512376864,"score_gpt":0.26435929632730315,"score_spread":0.01697590879646549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053678438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99616134,0.0007106794,0.00054084574,0.00052627426,0.000111656096,0.00003347702,0.0017501428,0.0000020643024,0.00016350855],"genre_scores_gemma":[0.99866915,0.0001946807,0.0009138864,0.000079457845,0.000033487064,2.5177988e-7,0.00002742588,0.0000020204045,0.00007964062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992488,0.000012071596,0.00042346772,0.00018386981,0.000044805212,0.00008699268],"domain_scores_gemma":[0.9989405,0.00007479284,0.00071864517,0.00019682579,0.000014444015,0.000054760458],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081109954,0.000055063596,0.0002747083,0.00029393382,0.000079821875,0.00003835886,0.0004944081,0.00003263686,0.0011563248],"category_scores_gemma":[0.00007480115,0.00005110958,0.00010997188,0.00020977932,0.00011343846,0.0006517328,0.000049530125,0.000036935355,0.00008528194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007646371,0.000077052486,0.9963128,0.0000017603255,0.00019654052,3.100775e-7,0.0016722861,0.000242028,0.0001157895,0.00012820926,0.00025024617,0.0009953459],"study_design_scores_gemma":[0.00096124376,0.0006869118,0.8337752,0.000010976177,0.00052354764,0.0000027418857,0.011929951,0.14133182,0.00036219842,0.0036306113,0.006480473,0.00030429632],"about_ca_topic_score_codex":0.009919928,"about_ca_topic_score_gemma":0.0028675054,"teacher_disagreement_score":0.16253756,"about_ca_system_score_codex":0.000047075275,"about_ca_system_score_gemma":0.000014803953,"threshold_uncertainty_score":0.99975675},"labels":[],"label_agreement":null},{"id":"W2054065713","doi":"10.1007/s10651-009-0111-6","title":"Modelling spatial zero-inflated continuous data with an exponentially compound Poisson process","year":2009,"lang":"en","type":"article","venue":"Environmental and Ecological Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"AgroParisTech","keywords":"Poisson distribution; Exponential distribution; Mathematics; Sampling (signal processing); Bayesian probability; Count data; Zero (linguistics); Statistics; Zero-inflated model; Statistical physics; Applied mathematics; Computer science; Poisson regression; Physics","score_opus":0.08045934562161759,"score_gpt":0.2211581562378951,"score_spread":0.14069881061627748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054065713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8506493,0.00012550324,0.14734328,0.00008114074,0.000049846454,0.00022038362,0.0009451212,0.00002519232,0.00056024204],"genre_scores_gemma":[0.9864127,0.00022187475,0.011455331,0.00024465934,0.000047607522,0.0000072167054,0.0014625541,0.000015276686,0.00013279686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860173,0.000019231315,0.00043653816,0.0006021462,0.00005603683,0.00028431515],"domain_scores_gemma":[0.999313,0.000033936227,0.00022480614,0.0002769424,0.0000019014303,0.00014942522],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022753145,0.00019832951,0.00032591727,0.00003292682,0.00019757681,0.000077793164,0.00022186956,0.00010622624,0.0009978327],"category_scores_gemma":[0.000007716407,0.00018985676,0.000015983438,0.00002225153,0.00014790741,0.00036496102,0.00008147142,0.00014033164,0.00020804947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087627664,0.0050834776,0.8088663,0.000056589295,0.0002690431,0.00021196871,0.0015576584,0.09653342,0.0007696186,0.043979775,0.00067220133,0.04112363],"study_design_scores_gemma":[0.001317363,0.0015689667,0.5878585,0.0000055825262,0.000028547127,0.00002317182,0.00014659141,0.36743352,0.000025837377,0.04029497,0.000804795,0.00049214077],"about_ca_topic_score_codex":0.000085431624,"about_ca_topic_score_gemma":0.000018430314,"teacher_disagreement_score":0.2709001,"about_ca_system_score_codex":0.00008806185,"about_ca_system_score_gemma":0.0000041557723,"threshold_uncertainty_score":0.99991536},"labels":[],"label_agreement":null},{"id":"W2054329856","doi":"10.1016/j.jhealeco.2013.02.005","title":"Erratum to “Using a discrete choice experiment to estimate health state utility values” [J. Health Econ. 31 (1) (2012) 306–318]","year":2013,"lang":"en","type":"erratum","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital; Centre for Advancing Health Outcomes","funders":"","keywords":"State (computer science); Discrete choice; Econometrics; Economics; Mathematical economics; Actuarial science; Computer science; Algorithm","score_opus":0.13788862119664083,"score_gpt":0.3401765440986031,"score_spread":0.20228792290196226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054329856","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4104294,0.18205689,0.05094504,0.15943903,0.16138367,0.013589983,0.0060507874,0.00022670055,0.015878517],"genre_scores_gemma":[0.11715114,0.1691616,0.22830448,0.20940876,0.023479208,0.0009269156,0.0031375706,0.0034134276,0.2450169],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98876727,0.0002626009,0.007498206,0.0014002968,0.00015147589,0.0019201387],"domain_scores_gemma":[0.9860502,0.000107576554,0.010306669,0.0012137386,0.0000878183,0.0022340075],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0069788876,0.000978992,0.004061961,0.0011592119,0.0006846934,0.00038719713,0.0010457991,0.00041776063,0.000642824],"category_scores_gemma":[0.00015058556,0.0011797347,0.0006181081,0.00023406798,0.000100150246,0.0011636345,0.00041349258,0.0015487762,0.0012443439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006860093,0.00026880112,0.004278398,0.0006319982,0.00027998447,0.0000021269002,0.0026796558,0.011704286,6.9743675e-7,0.00050249876,0.9686991,0.010883884],"study_design_scores_gemma":[0.0014013392,0.0021500075,0.03892543,0.0007172102,0.000017890641,0.00005892093,0.0003975361,0.008909852,0.0000042243573,0.0047600125,0.9414006,0.0012569746],"about_ca_topic_score_codex":0.004958337,"about_ca_topic_score_gemma":0.0008021942,"teacher_disagreement_score":0.29327825,"about_ca_system_score_codex":0.0109108435,"about_ca_system_score_gemma":0.0033306854,"threshold_uncertainty_score":0.9995333},"labels":[],"label_agreement":null},{"id":"W2054533576","doi":"10.1093/aepp/ppp009","title":"Farm Animal Welfare, Consumer Willingness to Pay, and Trust: Results of a Cross‐National Survey","year":2010,"lang":"en","type":"article","venue":"Applied Economic Perspectives and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Guelph","keywords":"Willingness to pay; Certification; Contingent valuation; Animal welfare; Consumer confidence index; Business; Valuation (finance); European union; Welfare; Consumer demand; Public economics; Marketing; Economics; Microeconomics; Accounting; International trade","score_opus":0.04902798082225649,"score_gpt":0.27814200450966337,"score_spread":0.22911402368740688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054533576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9608785,0.00012971727,0.000024218392,0.0010986445,0.00009256259,0.0002173203,0.001349323,0.000012146599,0.03619759],"genre_scores_gemma":[0.998747,0.00023191783,0.00032071339,0.00014689556,0.00017776595,0.000026125987,0.00003833492,0.000021506208,0.00028976335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986753,0.00000847674,0.0005343424,0.00054026826,0.000021562168,0.00022006275],"domain_scores_gemma":[0.99931985,0.00007503414,0.00026980595,0.00018744198,0.0000164241,0.00013145662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072192546,0.00017017435,0.00035113888,0.0001795978,0.00013549544,0.00007807569,0.000117583666,0.00011132854,0.00016147886],"category_scores_gemma":[0.00009222963,0.000187937,0.00004361532,0.00006282833,0.0002852456,0.0001385986,0.00009559611,0.00013994893,0.00012799572],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014255905,0.0000415724,0.30420598,0.000007428674,0.0000465082,8.012265e-8,0.0014902198,0.00008980358,0.00018720498,0.6928225,0.00008164304,0.000884468],"study_design_scores_gemma":[0.0012125225,0.000052087256,0.9787619,0.000001448767,0.0000032336484,0.0000038856256,0.00032912233,0.0004141141,0.00010678355,0.011295374,0.007585665,0.00023382287],"about_ca_topic_score_codex":0.0038368755,"about_ca_topic_score_gemma":0.0005613692,"teacher_disagreement_score":0.68152714,"about_ca_system_score_codex":0.00013726205,"about_ca_system_score_gemma":0.000037240316,"threshold_uncertainty_score":0.76638484},"labels":[],"label_agreement":null},{"id":"W2054892745","doi":"10.5751/es-04520-170127","title":"Public Preferences Across Europe for Different Forest Stand Types as Sites for Recreation","year":2012,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Recreation; Geography; Ecology; Recreational use; Forestry; Environmental resource management; Environmental protection; Biology; Economics","score_opus":0.1674404437457984,"score_gpt":0.2652589991116454,"score_spread":0.09781855536584702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054892745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99450713,0.0011517685,0.0019961477,0.00041785135,0.00023277855,0.00032760555,0.00012703381,0.000011906141,0.0012277691],"genre_scores_gemma":[0.99620193,0.000926532,0.00082587014,0.0002200556,0.00011855898,0.00014732528,0.00012524324,0.000009755407,0.0014247143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938256,0.000008308744,0.00019285717,0.00017311313,0.000008045817,0.00023510882],"domain_scores_gemma":[0.9996055,0.00013956818,0.00012519653,0.000067448615,0.000011425592,0.000050886723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044571832,0.00007831782,0.00016595177,0.000010994599,0.00024584352,0.000033146367,0.0000483672,0.00011100009,0.0001163516],"category_scores_gemma":[0.00008208511,0.0000783312,0.00006934217,0.000020270403,0.00006972525,0.00023219685,0.000028673372,0.000039791506,0.000045867608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008399837,0.000052095394,0.93576705,0.000021934431,0.00004623064,4.6668087e-9,0.001105048,0.0000054588054,0.000009622864,0.061212905,0.0013854279,0.00038584406],"study_design_scores_gemma":[0.00051806093,0.00014181668,0.95661056,0.0000013964524,0.000008366235,5.045245e-7,0.0003145243,0.0007346376,0.00003620117,0.022602499,0.018926945,0.00010446623],"about_ca_topic_score_codex":0.000004468294,"about_ca_topic_score_gemma":0.000045700308,"teacher_disagreement_score":0.038610406,"about_ca_system_score_codex":0.00005345284,"about_ca_system_score_gemma":0.0000060307248,"threshold_uncertainty_score":0.31942537},"labels":[],"label_agreement":null},{"id":"W2055038021","doi":"10.1111/j.1744-7976.2012.01266.x","title":"Using a Modified Payment Card Survey to Measure Chinese Consumers’ Willingness to Pay for Fair Trade Coffee: Considering Starting Points","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Kentucky","keywords":"Context (archaeology); Payment; Humanities; Welfare economics; Payment card; Willingness to pay; Economics; Political science; Art; Geography; Microeconomics; Finance","score_opus":0.1848672333445317,"score_gpt":0.21648497498251434,"score_spread":0.031617741637982644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055038021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98998845,0.0004465983,0.0009666306,0.0030676257,0.0028126435,0.00092855777,0.001498895,0.00001038711,0.00028023034],"genre_scores_gemma":[0.99541384,0.000020574294,0.0023794388,0.0012084171,0.00066662993,0.000045113986,0.000089230925,0.000066003035,0.000110753084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960875,0.00005895377,0.0018828192,0.00056763494,0.000015263415,0.0013878299],"domain_scores_gemma":[0.9953298,0.00021827605,0.0011458141,0.00031930892,0.00008263722,0.0029041881],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022619413,0.00049165246,0.001193399,0.00044687485,0.00037702892,0.0002103999,0.00047978715,0.000192564,0.00019783634],"category_scores_gemma":[0.00045634416,0.0004676713,0.00037640482,0.0001882701,0.00006515693,0.00095140457,0.00004541215,0.00027556825,0.00010014041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093797455,0.000039318227,0.93132186,0.000052261585,0.00044736124,0.000005502084,0.0048618675,0.05427369,0.0001658831,0.0062867887,0.0017067057,0.00074494886],"study_design_scores_gemma":[0.0013594034,0.00025224412,0.98737013,0.000078902034,0.000059011287,0.00012131273,0.0017637804,0.0008436472,0.0001282645,0.0016354782,0.0053586406,0.0010292102],"about_ca_topic_score_codex":0.03319255,"about_ca_topic_score_gemma":0.40265387,"teacher_disagreement_score":0.36946133,"about_ca_system_score_codex":0.0040155654,"about_ca_system_score_gemma":0.00031170537,"threshold_uncertainty_score":0.99980783},"labels":[],"label_agreement":null},{"id":"W2055067827","doi":"10.1080/07011784.2014.965036","title":"Willingness to pay for BMP-induced water quality benefits and deviations around expected water quality outcomes","year":2014,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"National Institutes of Health","keywords":"Willingness to pay; Quality (philosophy); Water quality; Business; Environmental economics; Environmental science; Natural resource economics; Economics; Microeconomics","score_opus":0.11197278340553164,"score_gpt":0.2455016135405211,"score_spread":0.13352883013498945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055067827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937893,0.0002493279,0.00058983534,0.0038223278,0.0003725846,0.00048761905,0.00024485274,0.000036410478,0.00040772816],"genre_scores_gemma":[0.99680555,0.00007261743,0.00035784705,0.0009770374,0.00042943435,0.00009798025,0.00015024189,0.00008466732,0.0010246536],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99624157,0.00018250133,0.0013911078,0.00074077223,0.000059528218,0.0013845183],"domain_scores_gemma":[0.99760985,0.00012171424,0.00027960728,0.0004841122,0.000106063184,0.001398649],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026238875,0.00042304254,0.00085963047,0.00055883784,0.0011729888,0.00054857286,0.00045870148,0.00023758085,0.00020593005],"category_scores_gemma":[0.00025261694,0.00029540868,0.00023333204,0.00008102184,0.00013629127,0.00048522814,0.00007464109,0.00030356576,0.00012351823],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006025558,0.00004178958,0.6903769,0.00016411244,0.000267442,0.000011793611,0.30052447,0.0022301304,0.0016596371,0.0006106654,0.000020293617,0.0040325336],"study_design_scores_gemma":[0.0014802546,0.00038108637,0.41836238,0.00013438993,0.000060273193,0.0001232304,0.0017613245,0.0008156306,0.008279978,0.019944014,0.5470705,0.0015869341],"about_ca_topic_score_codex":0.109711036,"about_ca_topic_score_gemma":0.3601078,"teacher_disagreement_score":0.5470502,"about_ca_system_score_codex":0.0010699963,"about_ca_system_score_gemma":0.000004174114,"threshold_uncertainty_score":0.9999498},"labels":[],"label_agreement":null},{"id":"W2055562015","doi":"10.1097/acm.0b013e31828577fe","title":"Do Canadian Researchers and the Lay Public Prioritize Biomedical Research Outcomes Equally? A Choice Experiment","year":2013,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Incentive; Pairwise comparison; Agency (philosophy); Public health; Funding Agency; Research design; Quality (philosophy); Logit; Psychology; Actuarial science; Public relations; Medical education; Medicine; Political science; Business; Economics; Sociology; Social science; Nursing","score_opus":0.460807436675299,"score_gpt":0.3840582436591461,"score_spread":0.0767491930161529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055562015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7715528,0.011925986,0.00007706875,0.1875883,0.0003005367,0.00090093253,0.000012979266,0.000018871733,0.027622497],"genre_scores_gemma":[0.98958486,0.003155322,0.000041500836,0.0024068065,0.0003180057,0.00024991765,0.000017769895,0.000020741962,0.0042050565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978781,0.00015050324,0.0006613831,0.00043964077,0.00018663844,0.00068378315],"domain_scores_gemma":[0.9980081,0.0008574062,0.00012467266,0.00036217514,0.000028712173,0.0006189492],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0057887505,0.00014057169,0.00038042373,0.00042850303,0.00028736188,0.000055375684,0.00045870122,0.00022849582,0.00504634],"category_scores_gemma":[0.002395139,0.000100553225,0.000035222038,0.0002567475,0.0014392079,0.00026638794,0.00015787761,0.0008775545,0.0013479711],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011235447,0.000016442718,0.5116314,0.000024083985,0.00010770555,0.0000022610495,0.009419442,8.422371e-7,0.000091145535,0.40718603,0.066270985,0.0052383947],"study_design_scores_gemma":[0.0062306486,0.00019730102,0.5154495,0.00006690775,0.00000839299,0.000010047335,0.009926055,0.0011960715,0.000012840089,0.09780692,0.36873972,0.00035555012],"about_ca_topic_score_codex":0.0955946,"about_ca_topic_score_gemma":0.00093130034,"teacher_disagreement_score":0.3093791,"about_ca_system_score_codex":0.00047291914,"about_ca_system_score_gemma":0.00007774045,"threshold_uncertainty_score":0.9994296},"labels":[],"label_agreement":null},{"id":"W2055649345","doi":"10.2166/wh.2011.139","title":"Influences on the water testing behaviors of private well owners","year":2011,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Stewardship (theology); Quality (philosophy); Business; Water quality; Psychology; Environmental resource management; Environmental science; Political science; Ecology","score_opus":0.24179434452424803,"score_gpt":0.25932098964316896,"score_spread":0.017526645118920936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055649345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966231,0.00009239244,0.000027290314,0.0012517155,0.00010333966,0.00005404441,0.000002641572,0.0000013158457,0.0018441537],"genre_scores_gemma":[0.9988722,0.00017173991,0.0003662776,0.0004612637,0.000032638865,8.8411844e-7,8.3944457e-7,0.000005189139,0.00008892577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922806,0.000012469117,0.00053603656,0.00007100244,0.000022249698,0.00013015702],"domain_scores_gemma":[0.9995642,0.0000117508125,0.000302417,0.00006785148,0.0000073515803,0.000046486104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010734644,0.000055013632,0.00018188955,0.000069059686,0.00006713001,0.000009549488,0.00007983482,0.000023186356,0.0002373425],"category_scores_gemma":[0.0000050156777,0.000025107674,0.000036637473,0.000014821918,0.00004509863,0.00011744175,0.00002069515,0.0000910101,0.000050081322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012961407,0.000050300772,0.9927333,0.000018625373,0.00001615525,7.132164e-7,0.004395911,0.000041210846,0.00021814146,0.0017028565,0.00007287086,0.000736978],"study_design_scores_gemma":[0.00031541023,0.0005799587,0.9805901,0.00003391591,0.000005961213,0.000011108138,0.00032034042,0.00004336882,0.0072799465,0.009437132,0.0013055047,0.00007724286],"about_ca_topic_score_codex":0.00017961301,"about_ca_topic_score_gemma":0.0000029891535,"teacher_disagreement_score":0.012143165,"about_ca_system_score_codex":0.000037889855,"about_ca_system_score_gemma":0.0000054131233,"threshold_uncertainty_score":0.2598734},"labels":[],"label_agreement":null},{"id":"W2055742761","doi":"10.1089/sus.2015.0016","title":"A Study of Ecosystem Services Provided by a Storm Water Retrofit System on a Public School Campus in Orange County, North Carolina","year":2015,"lang":"en","type":"article","venue":"Sustainability The Journal of Record","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hillsborough Hospital","funders":"","keywords":"Orange (colour); Storm; South carolina; Ecosystem services; Environmental science; Ecosystem; Stormwater; Hydrology (agriculture); Water resource management; Geography; Meteorology; Ecology; Engineering; Surface runoff; Political science; Public administration","score_opus":0.04010566801973536,"score_gpt":0.2207530682265557,"score_spread":0.18064740020682032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055742761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975621,0.00030294462,0.000025865247,0.00055343483,0.00031718504,0.0009648633,0.00004604269,0.000007708803,0.000219818],"genre_scores_gemma":[0.99971473,0.000023932895,0.000012641109,0.000037457736,0.00007007455,0.000027370945,0.0000047512076,0.000019031286,0.00009003095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976544,0.0002549208,0.0014254337,0.00023375638,0.00013335665,0.0002981649],"domain_scores_gemma":[0.9979915,0.00006959345,0.0011406795,0.00044045586,0.00020674351,0.00015100437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048754453,0.0001754061,0.00064066757,0.00026113234,0.00006855506,0.00004473593,0.0004435971,0.00008356298,0.00002344186],"category_scores_gemma":[0.00016846183,0.00012448862,0.000100318844,0.00017647372,0.00003120306,0.00048580332,0.000091562724,0.00029722962,0.000031007537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002881087,0.00042510135,0.99268836,0.0002727917,0.00006463482,0.000006265593,0.005088657,0.0006392028,9.241336e-7,0.00012163785,0.00017987636,0.00022442233],"study_design_scores_gemma":[0.006163674,0.0043330546,0.83236027,0.00008977419,0.000063762935,0.00004381748,0.14660166,0.00221542,0.000025560072,0.0025461845,0.005160423,0.00039638407],"about_ca_topic_score_codex":0.0029399146,"about_ca_topic_score_gemma":0.0057571186,"teacher_disagreement_score":0.1603281,"about_ca_system_score_codex":0.003701998,"about_ca_system_score_gemma":0.00012270284,"threshold_uncertainty_score":0.96805954},"labels":[],"label_agreement":null},{"id":"W2055890570","doi":"10.1111/1467-8276.00130","title":"Estimating Willingness to Pay for Improved Water Quality in the Presence of Item Nonresponse Bias","year":2003,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Medical Research Council; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Contingent valuation; Respondent; Willingness to pay; Payment card; Non-response bias; Sample (material); Payment; Econometrics; Missing data; Selection bias; Quality (philosophy); Estimation; Identification (biology); Valuation (finance); Economics; Statistics; Actuarial science; Microeconomics; Mathematics","score_opus":0.08200665575115858,"score_gpt":0.25582300549851505,"score_spread":0.1738163497473565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055890570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99490154,0.00004208599,0.002995024,0.0013211879,0.00027872942,0.00026719476,0.000039573806,0.0000019749548,0.00015266512],"genre_scores_gemma":[0.9867496,0.000037988913,0.012753384,0.00029532623,0.00007762627,0.000015915704,0.000005670722,0.000009347685,0.00005513038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982137,0.00009240097,0.0012554798,0.00019145812,0.000020327741,0.00022664845],"domain_scores_gemma":[0.9981865,0.00041018653,0.0011457299,0.00015730286,0.000034496952,0.00006578058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027825153,0.00013326544,0.00051637465,0.000079421756,0.000054628927,0.00004344236,0.00028697075,0.000033954053,0.000024739973],"category_scores_gemma":[0.00038851643,0.00007643681,0.00017438924,0.000097544034,0.00007092044,0.0003003047,0.00002245204,0.000120819495,0.000014812492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007588188,0.00076532015,0.7415356,0.000115552604,0.0004224136,0.000001983218,0.02423034,0.16937478,0.0096267285,0.033208676,0.0006387387,0.019321045],"study_design_scores_gemma":[0.0011798441,0.00087580923,0.9787317,0.00003096802,0.000018062328,0.000042295535,0.00592148,0.0035790664,0.0026743913,0.0043413816,0.0022047707,0.00040022432],"about_ca_topic_score_codex":0.00011710307,"about_ca_topic_score_gemma":0.00003113023,"teacher_disagreement_score":0.2371961,"about_ca_system_score_codex":0.00015993226,"about_ca_system_score_gemma":0.000017835708,"threshold_uncertainty_score":0.31170025},"labels":[],"label_agreement":null},{"id":"W2056117776","doi":"10.2147/ppa.s14217","title":"A discrete choice experiment evaluation of patients' preferences for different risk, benefit, and delivery attributes of insulin therapy for diabetes management","year":2010,"lang":"en","type":"article","venue":"Patient Preference and Adherence","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Canadian Institutes of Health Research; University of British Columbia; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Michael Smith Health Research BC","keywords":"Medicine; Insulin; Psychosocial; Diabetes mellitus; Insulin delivery; Insulin pen; Logistic regression; Type 2 diabetes; Quality of life (healthcare); Type 1 diabetes; Adverse effect; Internal medicine; Intensive care medicine; Endocrinology; Psychiatry; Nursing","score_opus":0.11302084433553397,"score_gpt":0.24786533614274606,"score_spread":0.13484449180721209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056117776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951176,0.0015482685,0.00037989352,0.000013066105,0.0001552522,0.0017263276,0.0008994528,0.0000066080843,0.00015351982],"genre_scores_gemma":[0.9962106,0.0015371259,0.001140897,0.000016539389,0.000015912643,0.0009002825,0.00015265791,0.000011487803,0.000014541664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867284,0.00002138868,0.00061142433,0.00041976586,0.00008589542,0.00018865884],"domain_scores_gemma":[0.9987936,0.0001811978,0.0006742658,0.00020649756,0.00008692229,0.000057497477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041682034,0.00018011969,0.00034486956,0.000087451874,0.00009178009,0.000025292047,0.00012791257,0.00007533214,0.00008069883],"category_scores_gemma":[0.00008532483,0.00016573785,0.000066164466,0.000041816395,0.00010357951,0.00022050939,0.00007709405,0.00006700167,0.0000015849895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064061016,0.00024195282,0.9044615,0.000101202044,0.0000737154,2.4740845e-9,0.0005411259,0.00003520303,0.00037459572,0.0026214423,0.000012462532,0.09147272],"study_design_scores_gemma":[0.0023949065,0.0011493653,0.9627472,0.000047407946,0.000046573245,1.7220227e-8,0.0001510956,0.004653358,0.00919955,0.019190095,0.0002059008,0.00021451915],"about_ca_topic_score_codex":0.000068747955,"about_ca_topic_score_gemma":0.000038148693,"teacher_disagreement_score":0.091258205,"about_ca_system_score_codex":0.000026377893,"about_ca_system_score_gemma":0.000007380553,"threshold_uncertainty_score":0.67585933},"labels":[],"label_agreement":null},{"id":"W2056137488","doi":"10.1080/01410096.2005.9995212","title":"Time perspectives: What ‘the future’ means to museum professionals in collections‐care.","year":2005,"lang":"en","type":"article","venue":"The Conservator","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Northumbria University","keywords":"Perspective (graphical); Period (music); Public relations; Point (geometry); Psychology; Political science; Visual arts; Aesthetics; Art","score_opus":0.040368154591962864,"score_gpt":0.22586164603016048,"score_spread":0.18549349143819763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056137488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91501755,0.005099012,0.000037612564,0.07419378,0.00039705992,0.00059019844,0.000030796,0.000022623024,0.0046113967],"genre_scores_gemma":[0.98178333,0.00043792475,0.0002695358,0.005915914,0.00041436902,0.00019517612,0.0000074006434,0.000022532005,0.010953837],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991327,0.000045615536,0.00033707582,0.00026048237,0.000032255663,0.00019185763],"domain_scores_gemma":[0.9994057,0.000093746385,0.00011535633,0.00032572827,0.00001242,0.000047062756],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005559061,0.00011144621,0.00017935081,0.00008573518,0.0002875139,0.00009226286,0.00025463433,0.000058246846,0.0016673007],"category_scores_gemma":[0.000036583275,0.0000858633,0.00006701995,0.0002519529,0.000076557,0.0003379994,0.00006916404,0.00013522345,0.0040361998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003140833,0.0012185,0.16314085,0.000057671125,0.00038437548,0.0000040636646,0.30882525,0.0072474424,0.00023835611,0.18787856,0.3186642,0.012026659],"study_design_scores_gemma":[0.0010831724,0.00009041878,0.20782988,0.00005598027,0.000013534591,0.000006584148,0.12435787,0.004289466,0.00015947051,0.0032793342,0.65836436,0.00046992418],"about_ca_topic_score_codex":0.00006164479,"about_ca_topic_score_gemma":0.000288685,"teacher_disagreement_score":0.3397002,"about_ca_system_score_codex":0.00040256957,"about_ca_system_score_gemma":0.000028683186,"threshold_uncertainty_score":0.9992453},"labels":[],"label_agreement":null},{"id":"W2056304143","doi":"10.3141/1898-22","title":"Discrete Choice Model with Structuralized Spatial Effects for Location Analysis","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Autoregressive model; Discrete choice; Mixed logit; Econometrics; Logit; Computer science; Field (mathematics); Logistic regression; STAR model; Mathematics; Autoregressive integrated moving average; Time series; Machine learning","score_opus":0.13574362104971777,"score_gpt":0.34009078413290783,"score_spread":0.20434716308319006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056304143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7734846,0.00015612307,0.22335261,0.0016873229,0.00014998119,0.000973943,0.00012294482,0.000010408834,0.000062063635],"genre_scores_gemma":[0.9914404,0.0002213709,0.0075747906,0.000047560563,0.00010862915,0.0001424778,0.00007875778,0.000042768952,0.00034319938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969445,0.00015442954,0.001254634,0.0004450823,0.0006335876,0.00056778814],"domain_scores_gemma":[0.99752134,0.00044021074,0.0007062821,0.00038761253,0.0007238404,0.00022069356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025537978,0.0002034687,0.00055039686,0.000986786,0.00047330873,0.00011024013,0.0005807241,0.0001400966,0.00011373128],"category_scores_gemma":[0.00013742609,0.00016352402,0.000408579,0.0015173801,0.0003434754,0.0007020748,0.0000044237477,0.0007325745,0.000021032614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009094975,0.00015427695,0.5733372,0.00022048515,0.0007131919,0.0000052092673,0.0017821637,0.3962562,0.00032898737,0.02531794,0.00017219702,0.00080261513],"study_design_scores_gemma":[0.0034451575,0.000572846,0.9549835,0.00008937662,0.0001589649,1.3383391e-7,0.0002563424,0.0074799717,0.00065077766,0.031659592,0.00050585513,0.00019750808],"about_ca_topic_score_codex":0.013896962,"about_ca_topic_score_gemma":0.046355706,"teacher_disagreement_score":0.38877624,"about_ca_system_score_codex":0.00051717897,"about_ca_system_score_gemma":0.00021925788,"threshold_uncertainty_score":0.9926696},"labels":[],"label_agreement":null},{"id":"W205689463","doi":"10.22004/ag.econ.171166","title":"Do Water Service Provision Contracts with Neighbouring Population Centres Reduce Drinking Water Risk on Canadian Reserves?","year":2014,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Probit model; Population; Water industry; Incentive; Probit; Business; Water supply; Water sector; Geography; Economics; Environmental science; Environmental health; Environmental engineering; Econometrics","score_opus":0.062415048918108555,"score_gpt":0.2084504562624779,"score_spread":0.14603540734436934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W205689463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921709,0.0000532611,0.00017362423,0.001764294,0.00020008959,0.00057648815,0.00018797356,0.000019319794,0.0048540803],"genre_scores_gemma":[0.99732405,0.00024333053,0.0004383087,0.00008234277,0.00009083176,0.0000020155169,0.0006740292,0.000040825606,0.0011042663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786776,0.000112516136,0.0003974846,0.0008640557,0.0001279305,0.0006302571],"domain_scores_gemma":[0.9985734,0.00005242654,0.0003689392,0.00067227933,0.00005756673,0.0002753676],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001028498,0.0002969265,0.0005642466,0.0005743896,0.00042230057,0.0001121236,0.0005239581,0.00034189425,0.0019810414],"category_scores_gemma":[0.000017196648,0.00029937437,0.00013411537,0.000065638524,0.00007995028,0.00047921942,0.0004025218,0.0006011447,0.001252768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003208839,0.00016118071,0.9194422,0.0003777338,0.0003506203,0.00004762693,0.010165238,0.061570466,0.00028513436,0.0023623512,0.00036271987,0.0045538684],"study_design_scores_gemma":[0.0014318859,0.00018396943,0.978591,0.00026785376,0.000049780523,0.0000031642317,0.0009567252,0.01044639,0.0011297895,0.0019310835,0.0043631624,0.00064516417],"about_ca_topic_score_codex":0.36411196,"about_ca_topic_score_gemma":0.16188323,"teacher_disagreement_score":0.20222872,"about_ca_system_score_codex":0.0007336086,"about_ca_system_score_gemma":0.000041724397,"threshold_uncertainty_score":0.9999458},"labels":[],"label_agreement":null},{"id":"W2057403654","doi":"10.1007/s10726-014-9417-3","title":"Numerical Methods to Calculate Fuzzy Boundaries for Brownfield Redevelopment Negotiations","year":2014,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Brownfield; Negotiation; Computer science; Fuzzy logic; Redevelopment; Operations research; Mathematics; Civil engineering; Engineering; Artificial intelligence","score_opus":0.07995154632963253,"score_gpt":0.2892740485479583,"score_spread":0.20932250221832577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057403654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1169917,0.00014994293,0.87864,0.0011011055,0.00056495896,0.0003206156,0.000014267117,0.000026138336,0.0021912884],"genre_scores_gemma":[0.78979266,0.00003672275,0.20846482,0.0011641443,0.00008863365,0.000060829436,0.00005074656,0.00001564951,0.00032579617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99882567,0.000025354773,0.0005320121,0.0003941005,0.000038215956,0.00018462885],"domain_scores_gemma":[0.9992619,0.0002550566,0.00017059158,0.0001843233,0.000014874182,0.00011325105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010147198,0.00012319518,0.00024879503,0.00014603251,0.0003333508,0.00017143655,0.000085182815,0.000095893665,0.00021614246],"category_scores_gemma":[0.00042325875,0.00013698125,0.00006716128,0.00011014425,0.000029348923,0.00022224446,0.000044402444,0.000056353787,0.00019842008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010852364,0.000118687596,0.051338397,0.000021746993,0.000055937537,1.329504e-7,0.0022012289,0.0016438345,0.00029588494,0.5262824,0.009239998,0.40869322],"study_design_scores_gemma":[0.0010396072,0.00022170634,0.50314283,0.000015073023,0.000011489511,0.0000024896228,0.00009969588,0.031186245,0.00022917372,0.20121518,0.26247093,0.0003655944],"about_ca_topic_score_codex":0.00005742493,"about_ca_topic_score_gemma":0.000017679446,"teacher_disagreement_score":0.67280096,"about_ca_system_score_codex":0.000106187996,"about_ca_system_score_gemma":0.000007846103,"threshold_uncertainty_score":0.55859333},"labels":[],"label_agreement":null},{"id":"W2060584171","doi":"10.1016/j.apgeog.2013.10.003","title":"Examining the economic impact of park facilities on neighboring residential property values","year":2013,"lang":"en","type":"article","venue":"Applied Geography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Recreation; Property value; Geography; Residential property; Property (philosophy); Economic impact analysis; Urban park; Environmental planning; Environmental resource management; Business; Regional science; Civil engineering; Environmental science; Engineering; Ecology; Real estate; Finance","score_opus":0.06000329181777065,"score_gpt":0.2068379469982845,"score_spread":0.14683465518051386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060584171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417825,0.00014587624,0.00007594965,0.00004682474,0.00012878065,0.00036547694,0.000055741966,0.000020497606,0.057378396],"genre_scores_gemma":[0.99915504,0.00010568339,0.0000904768,0.000050085564,0.000084749925,0.00013622889,0.000015879683,0.000017606724,0.00034421528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989145,0.000011905197,0.0004880047,0.00031967222,0.00002973612,0.00023621645],"domain_scores_gemma":[0.9992341,0.00006877616,0.0002821348,0.00036544408,0.0000043624227,0.00004517671],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00034201363,0.00015902048,0.00027156703,0.00016041448,0.00012449859,0.000068091394,0.00021605115,0.000062942214,0.0018677847],"category_scores_gemma":[0.000007257904,0.00011268775,0.00018220983,0.00006317191,0.00014725138,0.00019089888,0.00005826997,0.00010234078,0.0014021564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002631944,0.00003736004,0.9596588,0.000017374128,0.00023377054,1.0945573e-7,0.0010379789,0.010062836,0.00019622997,0.022938468,0.0016806523,0.00411008],"study_design_scores_gemma":[0.0003254238,0.0001215274,0.96683216,0.000005508596,0.0000066580083,3.90163e-7,0.00051903917,0.0008833145,0.0002634632,0.030404164,0.00045123292,0.00018709106],"about_ca_topic_score_codex":0.0038756533,"about_ca_topic_score_gemma":0.000009576648,"teacher_disagreement_score":0.05737262,"about_ca_system_score_codex":0.00015184013,"about_ca_system_score_gemma":0.000012932303,"threshold_uncertainty_score":0.99937534},"labels":[],"label_agreement":null},{"id":"W2061321588","doi":"10.1111/j.1465-7287.2011.00269.x","title":"ECONOMIC VALUATION OF MORTALITY‐RISK REDUCTION: STATED PREFERENCE ESTIMATES FROM THE UNITED STATES AND CANADA","year":2011,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Demography; Contingent valuation; Payment; Valuation (finance); Payment card; Economics; Actuarial science; Medicine; Finance","score_opus":0.2137929885786001,"score_gpt":0.24280445857465008,"score_spread":0.029011469996049977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061321588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99093175,0.001143276,0.0001349178,0.0003701473,0.00037523176,0.0003221923,0.0024137467,0.00002340589,0.00428536],"genre_scores_gemma":[0.9967556,0.0018941065,0.00017045504,0.0001814236,0.00017138937,0.000034440494,0.0006262238,0.000027263492,0.00013909757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982743,0.00005527183,0.0009749156,0.00045568048,0.000023394441,0.00021640887],"domain_scores_gemma":[0.9983114,0.00013583429,0.0009719993,0.00046527496,0.0000098298115,0.00010568676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005281035,0.00021886459,0.00041749017,0.00014001457,0.00013286689,0.00003787551,0.0002720159,0.00007896452,0.00048214904],"category_scores_gemma":[0.000048909133,0.00022766,0.00005954475,0.00005005492,0.0002126296,0.00043828448,0.000093015726,0.00012100726,0.00012540922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031484356,0.000024454826,0.969927,0.000008903,0.00023652276,3.897768e-7,0.001555072,0.0016519405,0.0000071115014,0.023170702,0.0031281607,0.0002582521],"study_design_scores_gemma":[0.00071820494,0.000060608294,0.8947214,0.000013306142,0.00002435424,0.0000021215885,0.00069512054,0.016484441,0.0004658302,0.083751775,0.0027689703,0.00029390003],"about_ca_topic_score_codex":0.9664673,"about_ca_topic_score_gemma":0.17556663,"teacher_disagreement_score":0.79090065,"about_ca_system_score_codex":0.0006005401,"about_ca_system_score_gemma":0.00039193378,"threshold_uncertainty_score":0.92837054},"labels":[],"label_agreement":null},{"id":"W2061501071","doi":"10.1002/pam.20047","title":"“Just give me a number!” Practical values for the social discount rate","year":2004,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":233,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Social discount rate; Shadow price; Economics; Discounting; Investment (military); Consumption (sociology); Crowding out; Time preference; Shadow (psychology); Microeconomics; Capital budgeting; Actuarial science; Cost–benefit analysis; Monetary economics; Project appraisal; Finance","score_opus":0.09826553524678891,"score_gpt":0.3264688340080899,"score_spread":0.228203298761301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061501071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58913285,0.00070444134,0.32370502,0.077685885,0.00025679122,0.00048016116,0.000078708654,0.0000071509303,0.007949013],"genre_scores_gemma":[0.9943902,0.0021119625,0.0017797297,0.00077231333,0.00032338724,0.000011886212,0.0000034413465,0.000007102024,0.00060000183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917674,0.000013887745,0.0005026737,0.00013011758,0.00003917881,0.00013742445],"domain_scores_gemma":[0.99921876,0.000059349462,0.00057587127,0.00009118592,0.000012820992,0.0000419974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010735566,0.00008455627,0.0002885716,0.0002018999,0.00019719503,0.00008821928,0.000094298,0.000029868852,0.00008856469],"category_scores_gemma":[0.00004105908,0.000065778426,0.00028664607,0.00018196752,0.00006201236,0.00020866469,0.000046646706,0.00006518773,0.000028983406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053100786,0.00017998896,0.013295802,0.000039388786,0.004904897,0.0000044949697,0.0019325822,0.0054313177,0.000005865504,0.97060776,0.002345759,0.001199055],"study_design_scores_gemma":[0.0029339618,0.00016579647,0.72458905,0.000014646432,0.0029505494,0.00001479808,0.0060147685,0.0042077773,0.0000363941,0.22420794,0.034523383,0.00034094288],"about_ca_topic_score_codex":0.00021975642,"about_ca_topic_score_gemma":0.000028885628,"teacher_disagreement_score":0.7463998,"about_ca_system_score_codex":0.0002022885,"about_ca_system_score_gemma":0.000011366405,"threshold_uncertainty_score":0.26823664},"labels":[],"label_agreement":null},{"id":"W2061800352","doi":"10.1016/j.jval.2012.03.386","title":"PMD46 Doctor Knows Best: The Effect of Yea-Saying Bias on Willingness to Pay in Choice-Format Conjoint-Analysis Studies","year":2012,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Conjoint analysis; Test (biology); Respondent; Willingness to pay; Colonoscopy; Preference; Medicine; Actuarial science; Psychology; Ordered probit; Econometrics; Social psychology; Statistics; Demography; Family medicine; Economics; Cancer; Mathematics; Colorectal cancer; Political science; Internal medicine; Microeconomics","score_opus":0.2860897329741851,"score_gpt":0.32753943633819854,"score_spread":0.041449703364013435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061800352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939097,0.0034899951,0.000079283025,0.0007675448,0.00041500575,0.00049627566,0.000035232544,0.000006052738,0.00080088124],"genre_scores_gemma":[0.9984236,0.00084477523,0.000088016604,0.00034079296,0.000086113825,0.00006967241,0.000007020171,0.0000136224335,0.00012643679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982574,0.00015717953,0.0009492513,0.00023472634,0.00004731568,0.00035415697],"domain_scores_gemma":[0.9985848,0.00063859223,0.00040531092,0.00028766235,0.000004513917,0.00007912171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040822304,0.00014307258,0.0006668246,0.00036223762,0.000070874914,0.000012496179,0.00014067617,0.00005354634,0.0000665667],"category_scores_gemma":[0.00029079433,0.00010644376,0.00011737849,0.00045445893,0.000039273356,0.0001731742,0.000055490458,0.00015698973,0.0003837913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013439576,0.000050519942,0.94436985,0.000092215996,0.00007939176,1.0173705e-7,0.0021273422,0.048678212,0.0000010582218,0.0033311965,0.000056136287,0.0012005249],"study_design_scores_gemma":[0.00067828014,0.0003862239,0.9849287,0.00010653525,0.00002852172,3.9502004e-7,0.00043904452,0.009019277,0.00009356814,0.00043976132,0.0036873235,0.00019234554],"about_ca_topic_score_codex":0.00461389,"about_ca_topic_score_gemma":0.00026156692,"teacher_disagreement_score":0.040558863,"about_ca_system_score_codex":0.0005799124,"about_ca_system_score_gemma":0.000010835412,"threshold_uncertainty_score":0.6974852},"labels":[],"label_agreement":null},{"id":"W2061811886","doi":"10.4038/sjae.v6i1.3468","title":"Factors Affecting the Adoption of Environmental Management Systems by Crop and Livestock Farms in Canada","year":2011,"lang":"en","type":"article","venue":"Sri Lankan Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Agricultural science; Livestock; Agriculture; Business; Manure; Agricultural economics; Geography; Economics; Environmental science; Forestry; Agronomy","score_opus":0.0422244244689438,"score_gpt":0.15405542172029207,"score_spread":0.11183099725134828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061811886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99627626,0.0012141286,0.000010227405,0.000039471895,0.00029126662,0.00016004802,0.00010121852,0.0000012682077,0.00190609],"genre_scores_gemma":[0.99885106,0.0009596077,0.000069165435,0.000021492793,0.000032836564,0.000001993988,0.000014475504,0.000004567433,0.000044790067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893534,0.00002066205,0.00073287205,0.00013952387,0.000026129019,0.00014549452],"domain_scores_gemma":[0.99892515,0.000030684743,0.00089805503,0.000084370564,0.000003919138,0.000057801786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033297512,0.00012677675,0.00030286965,0.00005371948,0.0000459324,0.000028322362,0.00016038117,0.00004655113,0.000052739128],"category_scores_gemma":[0.000004947129,0.000089059504,0.000060032016,0.00003043544,0.00003954697,0.00034011892,0.00004296109,0.00014123114,0.0000055320816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016166101,0.000060208076,0.98948467,0.000029875855,0.0001445744,0.0000015036279,0.0024099054,0.0030675032,0.00009867157,0.0039580287,0.0001944502,0.0005344299],"study_design_scores_gemma":[0.00038507592,0.00007104401,0.9857163,0.000017175349,0.000012335316,0.0000144360865,0.013039715,0.000080181155,0.0001214467,0.00015318357,0.0002683721,0.00012073404],"about_ca_topic_score_codex":0.037275262,"about_ca_topic_score_gemma":0.012091679,"teacher_disagreement_score":0.025183583,"about_ca_system_score_codex":0.0006358435,"about_ca_system_score_gemma":0.000012928784,"threshold_uncertainty_score":0.9691356},"labels":[],"label_agreement":null},{"id":"W2061931614","doi":"10.5402/2012/945209","title":"Testing the Ideal Free Distribution Hypothesis: Moose Response to Changes in Habitat Amount","year":2012,"lang":"en","type":"article","venue":"ISRN Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Ideal free distribution; Habitat; Pellet; Range (aeronautics); Ecology; Nest (protein structural motif); Biology","score_opus":0.10964446924404977,"score_gpt":0.22765099523988996,"score_spread":0.11800652599584019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061931614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924937,0.00014121282,0.00013929857,0.00549068,0.0003659447,0.00025104353,0.0001161088,0.000016189233,0.0009858427],"genre_scores_gemma":[0.99814796,0.000018873858,0.00041680358,0.0009848339,0.00012701511,0.00012892902,0.000012036539,0.0000138572195,0.00014970682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989938,0.000069312504,0.00031631617,0.00021206155,0.000017388082,0.0003910828],"domain_scores_gemma":[0.998997,0.0005163752,0.00014516186,0.00027272155,0.0000049642267,0.00006378056],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017855327,0.00010011909,0.00019596581,0.00009203853,0.000093199815,0.000017259137,0.0001962279,0.00009095194,0.0001807559],"category_scores_gemma":[0.0011765092,0.00010024233,0.000029969666,0.00012654766,0.00005187288,0.00013553155,0.000115904804,0.00010099056,0.0017094819],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042685202,0.00005611069,0.992463,0.0000023237012,0.0000073439105,6.00521e-7,0.0003230954,0.00015392611,0.00018950771,0.0045471606,0.0007202518,0.001494024],"study_design_scores_gemma":[0.0003067532,0.000093001356,0.9870883,0.0000029175665,0.0000030044619,0.000004407427,0.00016527413,0.00024846976,0.00007549724,0.0059244973,0.005972203,0.000115665134],"about_ca_topic_score_codex":0.00015769486,"about_ca_topic_score_gemma":0.0036123786,"teacher_disagreement_score":0.0056542642,"about_ca_system_score_codex":0.00048703278,"about_ca_system_score_gemma":0.000009103479,"threshold_uncertainty_score":0.9990678},"labels":[],"label_agreement":null},{"id":"W2062048285","doi":"10.1080/00049158.2005.10676228","title":"Conservation of native woodland by farmers in Moree Plains Shire, New South Wales","year":2005,"lang":"en","type":"article","venue":"Australian Forestry","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Woodland; Shire; Agroforestry; Geography; Vegetation (pathology); Quarter (Canadian coin); Introduced species; Grassland; Native plant; Environmental protection; Ecology; Environmental science; Biology","score_opus":0.09390052042855307,"score_gpt":0.2343235887191213,"score_spread":0.14042306829056822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062048285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99427414,0.00012436426,0.00012116698,0.0010662266,0.000057160567,0.00013365102,0.00018423206,0.000008736086,0.0040303282],"genre_scores_gemma":[0.9934827,0.00003833955,0.00046549455,0.00015151768,0.000044799544,0.000007239191,0.00010487123,0.000012476049,0.0056925677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999103,0.000007080301,0.00046258813,0.00022279003,0.00002674145,0.00017781372],"domain_scores_gemma":[0.99952453,0.000019514686,0.00025949295,0.00013196951,0.000003347707,0.00006114182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015517701,0.00010767108,0.0002080904,0.00009743418,0.000025456544,0.000013698279,0.00011041277,0.00010483173,0.00050729275],"category_scores_gemma":[0.000021734399,0.00013336269,0.000050502804,0.000082909406,0.00007242346,0.0002452345,0.000018722898,0.000099883175,0.00021237766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010526103,0.00003901143,0.9852544,0.000008386343,0.000018845018,3.7146285e-7,0.0007796598,0.0008745553,0.000023296216,0.0069175707,0.0055149817,0.00055840926],"study_design_scores_gemma":[0.0010379321,0.000046506593,0.984969,0.000017008693,0.000004668898,8.91936e-7,0.0006272596,0.0007436276,0.0005319474,0.0043774983,0.0074533965,0.0001902146],"about_ca_topic_score_codex":0.00095711957,"about_ca_topic_score_gemma":0.00023794136,"teacher_disagreement_score":0.0025400722,"about_ca_system_score_codex":0.00013780338,"about_ca_system_score_gemma":0.000015087608,"threshold_uncertainty_score":0.55545},"labels":[],"label_agreement":null},{"id":"W2062104065","doi":"10.1111/j.1523-1739.2008.00885.x","title":"Testing the Environmental Kuznets Curve Hypothesis with Bird Populations as Habitat‐Specific Environmental Indicators: Evidence from Canada","year":2008,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University; University of New Brunswick","funders":"","keywords":"Kuznets curve; Per capita; Habitat; Ecology; Gross domestic product; Population; Geography; Population density; Index (typography); Biology; Economics; Demography; Economic growth","score_opus":0.20051460617176894,"score_gpt":0.20903101269310248,"score_spread":0.008516406521333536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062104065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956355,0.0015126517,0.00033603972,0.0015210899,0.00017668311,0.00026420527,0.00028846052,0.000027644386,0.00023772813],"genre_scores_gemma":[0.99631125,0.00033685454,0.0016865272,0.0012328599,0.00008291499,0.00006176898,0.00016446924,0.000029436042,0.00009393027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986802,0.000062338644,0.0005108477,0.00046401686,0.000049803075,0.00023279402],"domain_scores_gemma":[0.99873036,0.00042270168,0.00043474877,0.0003395604,0.0000024962828,0.00007014216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020439444,0.00018228684,0.00023605027,0.00007929019,0.00040946907,0.000018578407,0.00022618343,0.00009505391,0.0008014858],"category_scores_gemma":[0.000106215164,0.00016637007,0.000041002884,0.000110467896,0.00034778033,0.00022575808,0.000060840506,0.00013303109,0.00070851704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013122673,0.000029743702,0.9975315,8.4090647e-7,0.00002664311,0.0000023010132,0.00014048778,0.00010101537,0.00057399966,0.00054073037,0.0005190123,0.0005206099],"study_design_scores_gemma":[0.0002749775,0.000077256664,0.9923366,0.000008073095,0.000007048407,0.000015562175,0.00010603219,0.00045931386,0.00011966535,0.0018242976,0.0045574578,0.00021372209],"about_ca_topic_score_codex":0.110732004,"about_ca_topic_score_gemma":0.024154617,"teacher_disagreement_score":0.086577386,"about_ca_system_score_codex":0.00047398076,"about_ca_system_score_gemma":0.0000606392,"threshold_uncertainty_score":0.99365205},"labels":[],"label_agreement":null},{"id":"W2062495753","doi":"10.1139/x08-905","title":"Erratum: Economic analysis of health effects from forest fires","year":2008,"lang":"en","type":"erratum","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Manitoba; Agriculture Food and Rural Development; University of Alberta; Environment and Climate Change Canada","funders":"","keywords":"Percentile; Range (aeronautics); Environmental science; Statistics; Dispersion (optics); Baseline (sea); Air quality index; Meteorology; Geography; Mathematics; Engineering","score_opus":0.13141546687963568,"score_gpt":0.29151224544350823,"score_spread":0.16009677856387255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062495753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89110476,0.062280133,0.00016388811,0.0012859558,0.01096075,0.00052910356,0.0024908334,0.0000053234608,0.031179274],"genre_scores_gemma":[0.9719147,0.008838565,0.00015132257,0.00011159249,0.0010621604,0.000014651355,0.000998458,0.00008296104,0.016825581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99625885,0.00019058694,0.002049644,0.0005012958,0.00016336408,0.00083628285],"domain_scores_gemma":[0.99609494,0.00030817118,0.002023499,0.00064243993,0.00009143391,0.000839537],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028263873,0.00030029353,0.0018735733,0.004166971,0.00033049315,0.000109577886,0.00094005786,0.0004892137,0.001155439],"category_scores_gemma":[0.00032698436,0.00035153874,0.000711802,0.00057674857,0.00046847895,0.00028104402,0.000060805327,0.0014215915,0.00035321136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000078633575,0.000020641992,0.5431481,0.0000540519,0.0011290436,0.000031793967,0.00038095852,0.0027307258,1.1417789e-7,0.001519965,0.45057213,0.00040458606],"study_design_scores_gemma":[0.00040513763,0.00031900516,0.8739604,0.00015887945,0.000087526314,0.0000075941734,0.00007502687,0.0012979647,0.0000012113405,0.008548568,0.1148869,0.0002518001],"about_ca_topic_score_codex":0.24875684,"about_ca_topic_score_gemma":0.49707347,"teacher_disagreement_score":0.33568522,"about_ca_system_score_codex":0.0030636233,"about_ca_system_score_gemma":0.0033028782,"threshold_uncertainty_score":0.99989367},"labels":[],"label_agreement":null},{"id":"W2062682145","doi":"10.1007/s11336-006-1598-5","title":"Thurstonian-Based Analyses: Past, Present, and Future Utilities","year":2006,"lang":"en","type":"article","venue":"Psychometrika","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Thurstone scale; Preference; Econometrics; Item response theory; Range (aeronautics); Psychometrics; Computer science; Psychology; Cognitive psychology; Data science; Statistics; Mathematics; Developmental psychology","score_opus":0.11714156032911278,"score_gpt":0.26570168645327535,"score_spread":0.14856012612416258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062682145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8966335,0.014141794,0.002294207,0.003916017,0.0006543927,0.00025908847,0.00018187528,0.0000644975,0.0818546],"genre_scores_gemma":[0.9951764,0.00026207478,0.0008924428,0.00023422072,0.0013078025,0.000026041567,0.000057576024,0.000022138782,0.0020213395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988901,0.000012966069,0.00042162722,0.00040277574,0.00003841823,0.00023411278],"domain_scores_gemma":[0.999383,0.00006752851,0.00019469537,0.00028502458,0.000006631208,0.00006316727],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027716495,0.00015272829,0.0002729894,0.00044926206,0.00009836241,0.00007544008,0.00012118824,0.00009293041,0.0011975659],"category_scores_gemma":[0.000007171641,0.00017193827,0.000095404364,0.0003436478,0.00008400199,0.0001840293,0.000019652141,0.00008759778,0.00041392405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014970463,0.00013590898,0.9669483,0.000022436441,0.000038723952,7.118178e-7,0.000068676614,0.0001794138,0.000017817827,0.015696125,0.012192972,0.0046839747],"study_design_scores_gemma":[0.0006236674,0.000039384355,0.754884,0.000002824241,0.0000073555243,0.000001054065,0.00009866176,0.0010047161,0.000055585744,0.0072197304,0.23587924,0.00018379944],"about_ca_topic_score_codex":0.00027387726,"about_ca_topic_score_gemma":0.000008406997,"teacher_disagreement_score":0.22368626,"about_ca_system_score_codex":0.000082116276,"about_ca_system_score_gemma":0.0000046050154,"threshold_uncertainty_score":0.99971545},"labels":[],"label_agreement":null},{"id":"W2062814083","doi":"10.1007/s11002-008-9035-4","title":"Choice under restrictions","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Situational ethics; Computer science; Management science; Conceptual framework; Conceptual model; Knowledge management; Social psychology; Psychology; Economics; Epistemology","score_opus":0.1015465412070929,"score_gpt":0.2019101994772998,"score_spread":0.10036365827020689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062814083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96833557,0.00014222645,0.0021301948,0.0036135989,0.0002674674,0.00006415364,0.000007989525,0.000040815245,0.025397986],"genre_scores_gemma":[0.994638,0.00009158233,0.0007899567,0.002804984,0.0001401348,0.000012246097,0.000009810555,0.000015835001,0.0014974218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929357,0.00002134358,0.0002660034,0.00023120135,0.000018898438,0.00016900168],"domain_scores_gemma":[0.99955934,0.000108328655,0.00012395895,0.0001678333,0.0000018396194,0.00003871597],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041990064,0.000076839875,0.00011636,0.00008603349,0.00019136137,0.000015517191,0.000086971384,0.000035625395,0.00072937313],"category_scores_gemma":[0.00008541625,0.0001010027,0.000058400856,0.000078682984,0.00005312854,0.00013352525,0.000027999678,0.00008616235,0.0012819115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037982968,0.000020071933,0.9795762,0.000003552151,0.000016674638,0.0000016687338,0.00006497714,0.0009999768,0.00019553973,0.0014273451,0.0175669,0.00012331226],"study_design_scores_gemma":[0.00020433903,0.0000048965017,0.97450626,0.0000032155258,0.0000017603047,0.0000068607637,0.000017343276,0.00041386008,0.00001233354,0.00022573871,0.02448206,0.00012130589],"about_ca_topic_score_codex":0.00016978759,"about_ca_topic_score_gemma":0.0000043787245,"teacher_disagreement_score":0.026302462,"about_ca_system_score_codex":0.00013731934,"about_ca_system_score_gemma":0.00000295506,"threshold_uncertainty_score":0.9994957},"labels":[],"label_agreement":null},{"id":"W2063603913","doi":"10.1017/s1460396915000059","title":"How do patients receiving radiotherapy in a Dutch hospital value their time? A contingent valuation study","year":2015,"lang":"en","type":"article","venue":"Journal of Radiotherapy in Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"ZonMw","keywords":"Contingent valuation; Willingness to pay; Medicine; Valuation (finance); Travel time; Value of time; Radiation therapy; Emergency medicine; Family medicine; Actuarial science; Surgery; Finance; Business; Economics","score_opus":0.05651130624587303,"score_gpt":0.25595244819423874,"score_spread":0.1994411419483657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063603913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879873,0.004899953,0.0018661458,0.0031271398,0.00074950175,0.00062575703,0.0000054216575,0.000006275654,0.0007325537],"genre_scores_gemma":[0.99236196,0.001714327,0.0050854967,0.00039196026,0.00024370512,0.000017867487,0.0000026878104,0.000040559436,0.00014145017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790084,0.00032208874,0.0010882101,0.00029339772,0.0001522772,0.00024316952],"domain_scores_gemma":[0.9974615,0.000299466,0.001832654,0.00022964,0.000075976684,0.00010074288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056599868,0.00019858581,0.0005782245,0.00043081454,0.00003948752,0.00019439307,0.0002506571,0.000104197024,0.00006562369],"category_scores_gemma":[0.0008468086,0.00020306026,0.000108026696,0.0002494641,0.000028909952,0.001980214,0.000019132447,0.00035624087,0.00002147514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029713768,0.0021493935,0.9647977,0.00000394413,0.00021968152,0.000011831586,0.020221198,0.0030606068,0.000049338854,0.00030591458,0.00044522312,0.008438072],"study_design_scores_gemma":[0.019543178,0.0042023007,0.9280893,0.00007496653,0.000034431534,0.00004874615,0.010274954,0.012356573,0.00002786066,0.0026244966,0.022147402,0.00057578355],"about_ca_topic_score_codex":0.00010032056,"about_ca_topic_score_gemma":0.000012256641,"teacher_disagreement_score":0.03670835,"about_ca_system_score_codex":0.0016016554,"about_ca_system_score_gemma":0.000059163,"threshold_uncertainty_score":0.8280557},"labels":[],"label_agreement":null},{"id":"W2063635095","doi":"10.1016/j.apenergy.2013.11.038","title":"Internalizing land use impacts for life cycle cost analysis of energy systems: A case of California’s photovoltaic implementation","year":2013,"lang":"en","type":"article","venue":"Applied Energy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Photovoltaic system; Environmental economics; Land use; Life-cycle assessment; Electricity; Incentive; Environmental resource management; Scale (ratio); Environmental science; Business; Production (economics); Engineering; Civil engineering; Economics; Geography","score_opus":0.057380916351919345,"score_gpt":0.24116544914264545,"score_spread":0.1837845327907261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063635095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9625574,0.00020368422,0.035735354,0.000007912861,0.00006046347,0.00019348302,0.0006393603,0.000008241877,0.0005941294],"genre_scores_gemma":[0.9988092,0.00011573994,0.000290685,0.00008966956,0.00002851233,0.00027360691,0.0003144403,0.000019523422,0.000058620313],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878526,0.000009145356,0.0007687055,0.00023430535,0.000025038806,0.00017755583],"domain_scores_gemma":[0.99896055,0.00008026184,0.00065251027,0.00020604282,0.000018818455,0.00008184047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018787725,0.000117156684,0.00044231306,0.00030409766,0.000037378537,0.000035103447,0.0000782033,0.00006326872,0.0003973588],"category_scores_gemma":[0.000013340042,0.000132621,0.00013370032,0.00017234751,0.000029269871,0.0001614292,0.000034102468,0.000021088174,0.000014922838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008469256,0.0002463723,0.6407562,0.00016436153,0.0035492256,0.0000032522867,0.0006386944,0.15839398,0.0036263173,0.18715148,0.0009914668,0.0043939925],"study_design_scores_gemma":[0.0052360944,0.00029112276,0.194399,0.00004333784,0.00096690777,0.00001957859,0.0026478549,0.76407844,0.012486058,0.009050194,0.0096672345,0.0011141647],"about_ca_topic_score_codex":0.07502614,"about_ca_topic_score_gemma":0.0025974351,"teacher_disagreement_score":0.60568446,"about_ca_system_score_codex":0.00011958648,"about_ca_system_score_gemma":0.000010162393,"threshold_uncertainty_score":0.93113333},"labels":[],"label_agreement":null},{"id":"W2063714432","doi":"10.3141/2354-12","title":"Route Choice Characteristics for Truckers","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Transport engineering; Routing (electronic design automation); Affect (linguistics); Logit; Operations research; Process (computing); Data collection; Business; Computer science; Operations management; Engineering; Psychology; Statistics","score_opus":0.22632529252969355,"score_gpt":0.340470833795034,"score_spread":0.11414554126534046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063714432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894385,0.00019404554,0.0033951618,0.004280805,0.0006686192,0.0013506549,0.00025935326,0.0000128993515,0.0003999827],"genre_scores_gemma":[0.994406,0.0005672333,0.0022970308,0.00010897518,0.00027086792,0.00022840212,0.000052160227,0.000051908646,0.00201742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965299,0.00018855798,0.0017109358,0.00037792913,0.0005116605,0.0006810524],"domain_scores_gemma":[0.9971157,0.0007055015,0.0007553739,0.0003751376,0.00077883544,0.0002694601],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034845069,0.0001842051,0.00046992756,0.00060619845,0.00046503812,0.0001655053,0.0007606606,0.00016427206,0.001377941],"category_scores_gemma":[0.00024617795,0.00016481009,0.00039186736,0.0005884953,0.00035380307,0.0009175957,0.0000058254914,0.0009439763,0.00031508534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001426524,0.00013900772,0.9698899,0.00011245691,0.00011369906,0.0000025515517,0.0009348762,0.00020854367,0.00041456817,0.015691517,0.008732366,0.0036178872],"study_design_scores_gemma":[0.0012242357,0.00030490218,0.9435411,0.000061861574,0.0000143252755,1.4400094e-7,0.0005261484,0.00041966396,0.00017570327,0.019027859,0.034542028,0.00016199103],"about_ca_topic_score_codex":0.00909711,"about_ca_topic_score_gemma":0.004087704,"teacher_disagreement_score":0.026348736,"about_ca_system_score_codex":0.00037830631,"about_ca_system_score_gemma":0.00012617017,"threshold_uncertainty_score":0.99953496},"labels":[],"label_agreement":null},{"id":"W2064320019","doi":"10.1111/0002-9092.00172","title":"Preference Uncertainty in Non‐Market Valuation: A Fuzzy Approach","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Valuation (finance); Probabilistic logic; Fuzzy logic; Contingent valuation; Economics; Decision maker; Econometrics; Fuzzy number; Mathematical economics; Computer science; Fuzzy set; Microeconomics; Mathematics; Willingness to pay; Operations research; Artificial intelligence; Finance","score_opus":0.06369823991753279,"score_gpt":0.202391472214548,"score_spread":0.13869323229701522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064320019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684551,0.000185319,0.00048841373,0.0005117324,0.00021445098,0.00015197942,0.000015940557,0.0000056433146,0.029971424],"genre_scores_gemma":[0.99573207,0.0013163051,0.0020555567,0.00020965145,0.00019254496,0.000011337323,0.00001674327,0.000012801285,0.00045298645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982178,0.000035329118,0.0011536326,0.0002880764,0.00003366317,0.00027145824],"domain_scores_gemma":[0.9982274,0.000056229062,0.0013960549,0.00016752724,0.000030121368,0.00012264997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008486273,0.0001890744,0.00061036274,0.00018475931,0.000053501626,0.000060529208,0.00031386368,0.00005926169,0.0002416966],"category_scores_gemma":[0.000038133578,0.00017003198,0.0001747313,0.00022810085,0.00012222305,0.0006319751,0.000044077682,0.00022710685,0.00013876392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018052834,0.00045618153,0.7694384,0.000015800111,0.00022383821,0.0000052746514,0.0021640845,0.19142038,0.000042494048,0.014860595,0.0016243187,0.0195681],"study_design_scores_gemma":[0.00088992406,0.00027834778,0.9865364,0.000013951358,0.000010596417,0.00011604889,0.0019905285,0.003926173,0.0000064653605,0.004691163,0.001259491,0.00028094795],"about_ca_topic_score_codex":0.00018853361,"about_ca_topic_score_gemma":0.000037231915,"teacher_disagreement_score":0.21709795,"about_ca_system_score_codex":0.0005979332,"about_ca_system_score_gemma":0.000027631744,"threshold_uncertainty_score":0.6933703},"labels":[],"label_agreement":null},{"id":"W2065485420","doi":"10.1007/s10198-013-0474-3","title":"Eliciting preferences to the EQ-5D-5L health states: discrete choice experiment or multiprofile case of best–worst scaling?","year":2013,"lang":"en","type":"article","venue":"The European Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Intraclass correlation; Statistics; Ordered probit; Consistency (knowledge bases); Set (abstract data type); Random effects model; Econometrics; Logistic regression; Choice set; Probit; Probit model; Computer science; Mathematics; Meta-analysis; Medicine; Artificial intelligence; Reproducibility","score_opus":0.19637536765954855,"score_gpt":0.29338506518504176,"score_spread":0.09700969752549321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065485420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98374915,0.0027692686,0.0015891057,0.009398253,0.000488524,0.00065775315,0.000110342684,0.000007190972,0.0012303874],"genre_scores_gemma":[0.9928864,0.002265189,0.0017823048,0.0024956812,0.00034245034,0.0000142634335,0.000008072615,0.00004656729,0.00015906095],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99648476,0.0003892887,0.002403813,0.0002688817,0.000036889767,0.0004163787],"domain_scores_gemma":[0.9961709,0.00024857555,0.0028975902,0.00041413005,0.000030477102,0.00023835571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005558081,0.00020368211,0.0006102966,0.00012580692,0.00040519872,0.000103112376,0.0005376666,0.000022954117,0.0003771081],"category_scores_gemma":[0.00010130128,0.00013794028,0.00015846858,0.00008308719,0.00010053773,0.00032331978,0.00014998941,0.0002622615,0.00055204355],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028790472,0.0007968596,0.061245468,0.0005299139,0.00081922987,0.00003323678,0.08121536,0.22265707,0.000025422736,0.0051597995,0.01982598,0.60740376],"study_design_scores_gemma":[0.015189072,0.017038982,0.34212184,0.0021173765,0.00015749823,0.002711042,0.17536795,0.14500073,0.0007717474,0.01732093,0.27813408,0.0040687774],"about_ca_topic_score_codex":0.0023571514,"about_ca_topic_score_gemma":0.00017789866,"teacher_disagreement_score":0.60333496,"about_ca_system_score_codex":0.00038511184,"about_ca_system_score_gemma":0.00010242972,"threshold_uncertainty_score":0.7095587},"labels":[],"label_agreement":null},{"id":"W2065848464","doi":"10.1016/j.reseneeco.2014.12.001","title":"Modeling non-compensatory preferences in environmental valuation","year":2014,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cutoff; Econometrics; Valuation (finance); Function (biology); Contingent valuation; Preference; Statistics; Willingness to pay; Mathematics; Economics; Computer science; Microeconomics","score_opus":0.04841259576562225,"score_gpt":0.17811027326430698,"score_spread":0.12969767749868472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065848464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973624,0.0003830872,0.0041332,0.00007975276,0.00007292138,0.000040892683,0.000011409616,0.000010761567,0.021644006],"genre_scores_gemma":[0.99806917,0.00080514775,0.0002459647,0.0002832221,0.00009048323,0.00002056126,0.00005720905,0.000021057454,0.00040719158],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887437,0.000020046238,0.000484545,0.0004001585,0.000014772133,0.0002061365],"domain_scores_gemma":[0.9995772,0.000028936176,0.00013217535,0.00019132292,9.1025896e-7,0.0000694181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005170334,0.0001415899,0.00027233962,0.00014479157,0.0000747317,0.000041717954,0.00010819248,0.000105366424,0.00011142032],"category_scores_gemma":[0.000008097375,0.00018333406,0.00004730093,0.00002473285,0.00004622745,0.00022432896,0.000060759063,0.0000766459,0.00010904541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021241152,0.000096426185,0.5976762,0.000013308952,0.000035352125,3.2191903e-7,0.0006883747,0.29875413,0.00003907637,0.07869212,0.000046919522,0.023936529],"study_design_scores_gemma":[0.00057216233,0.000041437546,0.0664162,0.0000072461526,0.0000035475236,0.000001723739,0.00021613424,0.88684297,0.000030919833,0.03629131,0.0093274,0.00024898298],"about_ca_topic_score_codex":0.00024741484,"about_ca_topic_score_gemma":0.000103269624,"teacher_disagreement_score":0.5880888,"about_ca_system_score_codex":0.00016019584,"about_ca_system_score_gemma":0.0000041163016,"threshold_uncertainty_score":0.7476146},"labels":[],"label_agreement":null},{"id":"W2065929573","doi":"10.1007/s11002-008-9038-1","title":"Behavioral frontiers in choice modeling","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Heuristic; Computer science; Diversity (politics); Estimation; Behavioral modeling; Management science; Artificial intelligence; Economics; Engineering; Systems engineering","score_opus":0.10611961916146594,"score_gpt":0.2099207263877127,"score_spread":0.10380110722624676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065929573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903035,0.00024183051,0.0060251905,0.0006276905,0.0003816081,0.00008253119,0.0000057938873,0.00002075757,0.0023110681],"genre_scores_gemma":[0.9950485,0.00006846601,0.0038539802,0.00075189146,0.0000718773,0.000013741484,0.000010800114,0.000017713803,0.00016298557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991058,0.00002213329,0.00036744232,0.00026913566,0.000020761678,0.00021470872],"domain_scores_gemma":[0.9997039,0.000023401562,0.00009994142,0.0001375924,0.0000013860099,0.000033798973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063058204,0.0000907327,0.00017806693,0.0001439882,0.00007747006,0.00001386822,0.00010401104,0.000043456792,0.00014978761],"category_scores_gemma":[0.00004088751,0.00012620281,0.000054238764,0.0000698108,0.000033975164,0.00018101909,0.000029564013,0.000110311405,0.00014782605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074967925,0.000023796616,0.98876274,0.000004061388,0.0000044632507,0.000003882097,0.00017549355,0.008546678,0.000049795803,0.000027241731,0.0020463562,0.0003479895],"study_design_scores_gemma":[0.0005813865,0.000008840324,0.8829507,0.000012348388,0.0000022543431,0.0000041663925,0.00007866407,0.114097826,0.000008858145,0.0001729505,0.0018280598,0.00025392557],"about_ca_topic_score_codex":0.000334942,"about_ca_topic_score_gemma":0.000008428486,"teacher_disagreement_score":0.10581202,"about_ca_system_score_codex":0.00020731089,"about_ca_system_score_gemma":0.0000027358813,"threshold_uncertainty_score":0.5146401},"labels":[],"label_agreement":null},{"id":"W2067098066","doi":"10.1111/j.0002-9092.2004.00612.x","title":"The Fast Decay Process in Outdoor Recreational Activities and the Use of Alternative Count Data Models","year":2004,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Count data; Recreation; Popularity; Econometrics; Process (computing); Econometric model; Variable (mathematics); Statistics; Computer science; Economics; Mathematics; Ecology; Psychology; Biology","score_opus":0.10828567011030292,"score_gpt":0.23052992237188508,"score_spread":0.12224425226158216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067098066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673223,0.00039135665,0.00046784102,0.0017986599,0.000106975094,0.00013190934,0.00012223041,0.0000013522832,0.0002474122],"genre_scores_gemma":[0.9947595,0.004396375,0.00061312,0.000102547056,0.00006980667,0.000005413817,0.000014082443,0.0000068351433,0.00003233218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99891096,0.000026369458,0.00074080477,0.00016507873,0.000029947823,0.0001268123],"domain_scores_gemma":[0.9980993,0.00025583498,0.0014115571,0.00016928921,0.000024277435,0.00003968905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006103684,0.00010937768,0.00037218854,0.000052223324,0.00008622655,0.000085762156,0.00035483672,0.000022614633,0.0000059292],"category_scores_gemma":[0.000042763044,0.000064232336,0.0000615332,0.000063890555,0.00049311336,0.0012594847,0.00007726227,0.00013802569,0.0000030562887],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035824243,0.00011016938,0.03955148,0.000008575289,0.00033629936,7.370253e-7,0.0056141005,0.7644351,0.000009671214,0.18228918,0.00008145246,0.007204992],"study_design_scores_gemma":[0.008225888,0.0006484243,0.80973816,0.00013957302,0.00008426966,0.00020354136,0.031404216,0.04228687,0.00038321636,0.104329,0.0018031507,0.00075369806],"about_ca_topic_score_codex":0.0004544366,"about_ca_topic_score_gemma":0.00019473644,"teacher_disagreement_score":0.77018666,"about_ca_system_score_codex":0.00021805425,"about_ca_system_score_gemma":0.000035692963,"threshold_uncertainty_score":0.26193184},"labels":[],"label_agreement":null},{"id":"W2067288242","doi":"10.1002/atr.160","title":"Accommodating risk in the valuation of expected travel time savings","year":2011,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Sydney","keywords":"Weighting; Travel time; Valuation (finance); Econometrics; Expected utility hypothesis; TRIPS architecture; Operations research; Value of time; Computer science; Expected value; Prospect theory; Economics; Actuarial science; Statistics; Transport engineering; Mathematics; Engineering; Microeconomics; Mathematical economics; Finance","score_opus":0.08107405170491297,"score_gpt":0.22089369679610438,"score_spread":0.1398196450911914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067288242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99052715,0.00017284094,0.008400798,0.00005239937,0.00008356918,0.000110016925,0.000020898906,0.0000019253664,0.00063040655],"genre_scores_gemma":[0.9950327,0.00012969822,0.0047332756,0.000041378345,0.000023535064,0.000003991455,0.000017587825,0.000007845551,0.000009957287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886155,0.000026277234,0.000895571,0.00008974989,0.00004925545,0.000077616976],"domain_scores_gemma":[0.9985923,0.0000446985,0.0012332364,0.00008861375,0.00002470237,0.000016432336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008769321,0.00006644395,0.00020936255,0.00014066935,0.000028209666,0.000005186716,0.00011833293,0.000039365408,0.00017833804],"category_scores_gemma":[0.000041204163,0.00006173435,0.00008329178,0.00011414317,0.000022574126,0.00055113115,0.0000010947687,0.00013254806,0.000015653526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014429002,0.0002744616,0.9211447,0.000020927819,0.000049113245,0.0000027484298,0.043211475,0.01811479,0.0022493475,0.008416572,0.000018676641,0.00635289],"study_design_scores_gemma":[0.000757299,0.000115301846,0.9738274,0.000019173218,0.000015227293,0.0000015592593,0.001490495,0.0003245036,0.0006420527,0.022729117,0.000016484742,0.00006134323],"about_ca_topic_score_codex":0.00006247593,"about_ca_topic_score_gemma":0.000026313359,"teacher_disagreement_score":0.052682735,"about_ca_system_score_codex":0.000050790677,"about_ca_system_score_gemma":0.000008591843,"threshold_uncertainty_score":0.25174534},"labels":[],"label_agreement":null},{"id":"W2067341699","doi":"10.1007/s40534-014-0063-x","title":"Relative efficiency appraisal of discrete choice modeling algorithms using small-scale maximum likelihood estimator through empirically tailored computing environment","year":2014,"lang":"en","type":"article","venue":"Journal of Modern Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Regina","funders":"","keywords":"Hessian matrix; Estimator; Convergence (economics); Flexibility (engineering); Computer science; Algorithm; Discrete choice; Mathematical optimization; Software; Function (biology); Key (lock); Mathematics; Applied mathematics; Statistics; Machine learning","score_opus":0.07666892359815522,"score_gpt":0.2613298995300429,"score_spread":0.18466097593188766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067341699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4874298,0.00021314004,0.51201963,0.000054950968,0.000106774,0.000067224035,0.000017975908,0.0000036946826,0.000086787884],"genre_scores_gemma":[0.8958683,0.000059015827,0.10389715,0.000025929492,0.000089482004,0.0000012678478,0.000029253097,0.000025523526,0.00000406345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979575,0.000029333507,0.0014375729,0.00026095583,0.000105930114,0.00020868277],"domain_scores_gemma":[0.9982898,0.00008817036,0.0013802632,0.00013899824,0.000026991866,0.00007576211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006976301,0.000167547,0.00046727518,0.000109639775,0.00010069504,0.000019495848,0.00015435023,0.00010600798,0.000039220842],"category_scores_gemma":[0.000032774733,0.0001837542,0.00019989023,0.00006632131,0.000056293502,0.00053192995,0.000008397631,0.00019725888,0.000010761064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003077158,0.00013464355,0.091009796,0.000032767708,0.00006360523,8.18372e-7,0.0028600532,0.90201104,0.0005980918,0.00080247445,0.0000013397286,0.002454627],"study_design_scores_gemma":[0.0010096877,0.00017203354,0.067535356,0.000054201206,0.000058806174,0.0000035905862,0.00013117705,0.90673155,0.00019969535,0.02389359,0.000029591058,0.00018074717],"about_ca_topic_score_codex":0.00009664834,"about_ca_topic_score_gemma":0.000010443148,"teacher_disagreement_score":0.40843853,"about_ca_system_score_codex":0.0001470028,"about_ca_system_score_gemma":0.000020198311,"threshold_uncertainty_score":0.74932784},"labels":[],"label_agreement":null},{"id":"W2067519773","doi":"10.1080/19390459.2012.683957","title":"Species Specific Recreational Demand: The Case of Trout Fishing in Alberta","year":2012,"lang":"en","type":"article","venue":"Journal of Natural Resources Policy Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trout; Recreation; Fishing; Rainbow trout; Fishery; Recreational fishing; Fish <Actinopterygii>; Geography; Ecology; Biology","score_opus":0.22350416861034642,"score_gpt":0.34050482240039387,"score_spread":0.11700065379004745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067519773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774888,0.005988928,0.00000892698,0.0046048607,0.00012101263,0.00009698564,0.000011897514,8.529375e-7,0.011677717],"genre_scores_gemma":[0.9955768,0.0008792539,0.00012296833,0.000060225047,0.00094238704,0.0000024095218,0.0000019471818,0.000010484443,0.0024034972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855876,0.00013541942,0.00074493344,0.00010545413,0.00011415165,0.00034126488],"domain_scores_gemma":[0.99844944,0.0008147729,0.00044199705,0.00016393821,0.000039284838,0.00009058561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00415033,0.00008167483,0.0002640994,0.0006294566,0.0001205005,0.000056343226,0.0002961045,0.00006782541,0.00029993156],"category_scores_gemma":[0.00082809734,0.0000627368,0.0001213149,0.00033513032,0.0001782146,0.00045019135,0.00009177233,0.00057125284,0.00006685127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002302604,0.00023768492,0.82729846,0.00003560483,0.00010433589,0.000041343523,0.015372188,0.00056559104,0.00039784572,0.14414915,0.006944692,0.0046228585],"study_design_scores_gemma":[0.00070852524,0.00010385697,0.927589,0.00004570154,0.0000032830376,0.00048597436,0.002095405,0.0004705473,0.0002112716,0.009653394,0.058517095,0.00011596287],"about_ca_topic_score_codex":0.0027044772,"about_ca_topic_score_gemma":0.00029212996,"teacher_disagreement_score":0.13449576,"about_ca_system_score_codex":0.00039909015,"about_ca_system_score_gemma":0.0000251133,"threshold_uncertainty_score":0.40883785},"labels":[],"label_agreement":null},{"id":"W2067567094","doi":"10.1111/j.0006-341x.2000.00496.x","title":"Marginal Models for Longitudinal Continuous Proportional Data","year":2000,"lang":"en","type":"article","venue":"Biometrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Cancer Institute","keywords":"Applied mathematics; Mathematics; Zero (linguistics); Marginal model; Simplex; Longitudinal data; Function (biology); Statistics; Computer science; Combinatorics; Regression analysis","score_opus":0.33945697105169514,"score_gpt":0.2673015459231908,"score_spread":0.07215542512850437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067567094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7252647,0.0068320967,0.19771138,0.0011888886,0.0009336747,0.0012982487,0.0063175857,0.00011877025,0.060334634],"genre_scores_gemma":[0.9773736,0.0006707303,0.012186113,0.00014989614,0.00023003067,0.000046976136,0.0011987977,0.000028190008,0.008115693],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986461,0.0000047886547,0.0005033051,0.0005414568,0.000048593647,0.00025579982],"domain_scores_gemma":[0.99919057,0.000046875623,0.0001856664,0.0004882144,0.000013198341,0.00007545146],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007239133,0.00012330015,0.00024823294,0.00039179024,0.0001063037,0.000062775,0.00036123986,0.000087544184,0.0028716808],"category_scores_gemma":[0.000047912778,0.00014719502,0.00007010762,0.00046154408,0.00005818582,0.0005232287,0.00006718025,0.000056621648,0.0011117678],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014917253,0.00086455524,0.6201561,0.00009280002,0.00023506886,0.000005536923,0.00010513217,0.0033976352,0.000021552803,0.21408537,0.059412405,0.10147464],"study_design_scores_gemma":[0.0019825068,0.00024961994,0.3406826,0.000008658088,0.000029721183,0.000018224799,0.00002917724,0.1775697,0.000025088442,0.062072217,0.4166733,0.00065919],"about_ca_topic_score_codex":0.00006219838,"about_ca_topic_score_gemma":0.000002098304,"teacher_disagreement_score":0.3572609,"about_ca_system_score_codex":0.00012757374,"about_ca_system_score_gemma":0.000016222075,"threshold_uncertainty_score":0.999666},"labels":[],"label_agreement":null},{"id":"W2067842482","doi":"10.3141/2246-06","title":"Bayesian Approach for Identifying Efficient Stated-Choice Survey Designs with Reduced Prior Information","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Measure (data warehouse); Variance (accounting); Survey data collection; Selection (genetic algorithm); Design of experiments; Process (computing); Respondent; Function (biology); Mathematical optimization; Monte Carlo method; Data mining; Statistics; Mathematics; Machine learning","score_opus":0.4153390759730608,"score_gpt":0.35199420626456596,"score_spread":0.06334486970849484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067842482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8195142,0.000088029345,0.17788051,0.00016358559,0.00021742111,0.001382287,0.00024419607,0.000014446247,0.00049529166],"genre_scores_gemma":[0.983738,0.00016339915,0.015446973,0.000029725361,0.000056371326,0.00015867373,0.00013333825,0.00004388431,0.00022963539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961749,0.00039822006,0.0017194508,0.0003741995,0.00066089473,0.0006723902],"domain_scores_gemma":[0.9968918,0.0005308322,0.0009669439,0.00038639433,0.00097035075,0.0002536936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008386227,0.00020939238,0.00043654852,0.0009172252,0.00059282314,0.00014607192,0.00070386135,0.00015120606,0.00028901684],"category_scores_gemma":[0.00022608147,0.0001766744,0.00020639076,0.0009697869,0.00033971615,0.0011802029,0.000006132813,0.00087960425,0.000041800766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021723588,0.00046632517,0.9656226,0.00032552652,0.00026072288,0.000004640621,0.009311884,0.011932461,0.00028228306,0.0064221043,0.0012333181,0.0019657668],"study_design_scores_gemma":[0.0018489377,0.0006027219,0.9895969,0.00007425326,0.000023235412,3.4359124e-7,0.0014845944,0.0027125315,0.0006321485,0.001989508,0.00082769094,0.00020715673],"about_ca_topic_score_codex":0.012085997,"about_ca_topic_score_gemma":0.006741417,"teacher_disagreement_score":0.16422378,"about_ca_system_score_codex":0.00037549372,"about_ca_system_score_gemma":0.00021308634,"threshold_uncertainty_score":0.9944926},"labels":[],"label_agreement":null},{"id":"W2068023108","doi":"10.1111/j.1752-1688.2002.tb04330.x","title":"COST‐EFFECTIVE POINT‐NONPOINT TRADING: AN APPLICATION TO THE SUSQUEHANNA RIVER BASIN<sup>1</sup>","year":2002,"lang":"en","type":"article","venue":"JAWRA Journal of the American Water Resources Association","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC","funders":"","keywords":"Nonpoint source pollution; Chesapeake bay; Environmental science; Point (geometry); Drainage basin; Water resource management; Estuary; Pollution; Geography; Ecology; Oceanography; Geology; Mathematics","score_opus":0.03242310059790211,"score_gpt":0.21069654670801477,"score_spread":0.17827344611011264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068023108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846096,0.00008136301,0.002428702,0.011275854,0.00012985949,0.0005830919,0.000026172185,0.000010146405,0.00085521815],"genre_scores_gemma":[0.9968105,0.000051525094,0.00020588543,0.0018476123,0.00037142867,0.00004556569,0.0000043293617,0.000025282747,0.0006378722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985324,0.00019632374,0.0006400796,0.00022845757,0.00012759927,0.0002751169],"domain_scores_gemma":[0.99803245,0.00009909614,0.0014295588,0.00030395697,0.000039178107,0.00009576638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017725936,0.00014839062,0.0003624986,0.00014393868,0.00024821088,0.0001090265,0.0004431155,0.000052409818,0.00016041292],"category_scores_gemma":[0.00011613544,0.000097357835,0.00022495844,0.00020064387,0.00007662062,0.000368278,0.00006721951,0.000255255,0.0004162657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011310202,0.0003472851,0.8448891,0.000008577589,0.0003917274,0.0000013496029,0.06377714,0.04464717,0.0003528904,0.00038362286,0.009567783,0.03552027],"study_design_scores_gemma":[0.0008523709,0.0005104757,0.79554576,0.000018446484,0.000070865346,0.000019982192,0.0019016353,0.05096918,0.0007928241,0.0035151986,0.14546345,0.00033980404],"about_ca_topic_score_codex":0.00030240952,"about_ca_topic_score_gemma":0.000011781701,"teacher_disagreement_score":0.13589567,"about_ca_system_score_codex":0.0011019019,"about_ca_system_score_gemma":0.0000025970037,"threshold_uncertainty_score":0.53503925},"labels":[],"label_agreement":null},{"id":"W2068260095","doi":"10.1108/10610420610703702","title":"Price endings: magic and math","year":2006,"lang":"en","type":"article","venue":"Journal of Product & Brand Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Western University","funders":"","keywords":"Purchasing; Respondent; Backpack; Product (mathematics); Economics; Advertising; Mathematics; Marketing; Business","score_opus":0.030534950071750225,"score_gpt":0.18202404051334206,"score_spread":0.15148909044159184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068260095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92162997,0.0040586856,0.0028002125,0.0014779549,0.00043384405,0.00019643414,0.000005079854,0.000007064905,0.06939077],"genre_scores_gemma":[0.9910194,0.0009955645,0.0027510002,0.00012788211,0.00023432447,0.0000021101507,0.0000020724194,0.000010076794,0.004857569],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991825,0.0000061116575,0.0004893079,0.00016641225,0.00003427669,0.00012135638],"domain_scores_gemma":[0.9994082,0.0000064824303,0.0004357361,0.00011059989,0.0000075407397,0.00003146197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068032875,0.00008102514,0.00019348625,0.00014906669,0.000042480875,0.00005398883,0.00008736875,0.000016835751,0.00016107432],"category_scores_gemma":[0.000007517515,0.000081044986,0.000051571216,0.000052416286,0.000028877803,0.00030233053,0.00004308921,0.00006222615,0.000112755944],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007216562,0.00041925837,0.20369115,0.00024951258,0.00027058748,0.000035362777,0.0003767588,0.0009375561,0.0002321365,0.75910187,0.020515865,0.01409779],"study_design_scores_gemma":[0.001419601,0.00009173273,0.76769274,0.000024861663,0.000035003326,0.00004827469,0.0001182557,0.00017801515,0.00014155207,0.06339339,0.16666244,0.00019415146],"about_ca_topic_score_codex":0.000014845546,"about_ca_topic_score_gemma":0.0000011101483,"teacher_disagreement_score":0.69570845,"about_ca_system_score_codex":0.00008041071,"about_ca_system_score_gemma":0.0000021430278,"threshold_uncertainty_score":0.33049184},"labels":[],"label_agreement":null},{"id":"W2068388041","doi":"10.1214/09-aoas318","title":"Modeling hourly ozone concentration fields","year":2010,"lang":"en","type":"article","venue":"The Annals of Applied Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Bayesian probability; Kriging; Computer science; Kalman filter; Computation; Point process; Algorithm; Machine learning; Mathematics; Statistics; Artificial intelligence","score_opus":0.1730773880426103,"score_gpt":0.2705241227258004,"score_spread":0.0974467346831901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068388041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77489036,0.000061781866,0.20604652,0.00045052086,0.00017433,0.00013517772,0.0003207845,0.000009523138,0.01791102],"genre_scores_gemma":[0.9943441,0.00015548618,0.0048641143,0.00040820998,0.00006892159,0.000008932244,0.000052011274,0.000009699512,0.00008852578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993614,0.0000031333166,0.00035761812,0.00012713787,0.00002626432,0.0001244257],"domain_scores_gemma":[0.9995408,0.000042813022,0.00017010445,0.0002038089,0.000012591604,0.000029857692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039627857,0.00006869735,0.00014751624,0.000019824865,0.00006665874,0.000018645991,0.00012727264,0.00005664368,0.00036658812],"category_scores_gemma":[0.000025268115,0.00006715176,0.000026172227,0.000032254502,0.00006197507,0.000051310257,0.000022348346,0.00012964719,0.0002047376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015104781,0.000030352494,0.0011591705,0.000007843259,0.000020433406,1.0972565e-7,0.00049072097,0.013586614,0.000392537,0.9812187,0.0010686874,0.002009752],"study_design_scores_gemma":[0.00033620486,0.000047624082,0.011619181,0.0000026635712,0.000008428744,6.047677e-7,0.0001381005,0.33108082,0.0015352954,0.653794,0.0012488508,0.0001882266],"about_ca_topic_score_codex":0.000087892935,"about_ca_topic_score_gemma":0.00003178801,"teacher_disagreement_score":0.32742468,"about_ca_system_score_codex":0.000005903149,"about_ca_system_score_gemma":0.0000068018335,"threshold_uncertainty_score":0.4013883},"labels":[],"label_agreement":null},{"id":"W2068428054","doi":"10.1111/j.1744-7976.2010.01216.x","title":"Bioeconomic Modelling of Wetlands and Waterfowl in Western Canada: Accounting for Amenity Values","year":2011,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Agriculture and Agri-Food Canada; Environmental Restoration and Conservation Agency","keywords":"Waterfowl; Wetland; Amenity; Geography; Forestry; Ecosystem services; Ecology; Ecosystem; Biology; Economics; Habitat","score_opus":0.13769197787789678,"score_gpt":0.20857356962638504,"score_spread":0.07088159174848827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068428054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940059,0.00041465755,0.00436834,0.000021282913,0.0000904959,0.00013831223,0.0004725852,0.000006660556,0.00048177066],"genre_scores_gemma":[0.9973669,0.00054306374,0.001606901,0.00006137864,0.00005223772,0.000009594697,0.00031071514,0.000016161777,0.00003303416],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890226,0.000014540073,0.0004619936,0.00038961516,0.000015273768,0.00021632429],"domain_scores_gemma":[0.9993519,0.0000723211,0.0002327066,0.00029299932,0.0000027352999,0.000047307196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063396315,0.0001244073,0.00029250258,0.00007060272,0.000083998726,0.00002774499,0.00028799972,0.000038554037,0.000010456694],"category_scores_gemma":[0.0000023375162,0.00013671986,0.000016359067,0.000029049897,0.00004509921,0.00035432505,0.0002355632,0.00006848916,0.0000021157912],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023973966,0.00001594323,0.9936753,0.0001143046,0.000023417479,2.676253e-7,0.0019297356,0.0031422472,0.000009667669,0.00026697214,0.000008128465,0.00079002423],"study_design_scores_gemma":[0.00032914977,0.000020608311,0.4762691,0.000048153506,0.000008983211,0.000001229999,0.00034398414,0.5195664,0.00002472053,0.0030778353,0.0001674808,0.00014234662],"about_ca_topic_score_codex":0.17640519,"about_ca_topic_score_gemma":0.23771457,"teacher_disagreement_score":0.5174062,"about_ca_system_score_codex":0.00003947533,"about_ca_system_score_gemma":0.0000118375365,"threshold_uncertainty_score":0.8290792},"labels":[],"label_agreement":null},{"id":"W2069966771","doi":"10.1016/j.jtrangeo.2011.05.002","title":"Estimating visitors’ travel mode choices along the Bear Lake Road in Rocky Mountain National Park","year":2011,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"","keywords":"National park; Geography; Mode (computer interface); Mode choice; Transport engineering; Engineering; Archaeology; Public transport; Computer science","score_opus":0.0509074173753229,"score_gpt":0.22158303524515513,"score_spread":0.17067561786983224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069966771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912788,0.00056804426,0.0033048287,0.0001395491,0.00032204363,0.00010265401,0.000061260864,0.0000042998126,0.0042184973],"genre_scores_gemma":[0.9964395,0.00011466419,0.0030803066,0.00013415466,0.00017560307,0.000005135609,0.000013151619,0.000013749145,0.000023728839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860406,0.0000141496985,0.00094986544,0.00016263855,0.000086939355,0.00018233841],"domain_scores_gemma":[0.99916834,0.000024935045,0.00062632386,0.00010156713,0.000020482259,0.000058331523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010808603,0.00012346463,0.0002838976,0.0003335299,0.000088552435,0.00001922277,0.00024540597,0.00007238533,0.00038294893],"category_scores_gemma":[0.0000115778075,0.0001120571,0.00024269681,0.00015841838,0.000057647765,0.00046415944,0.0000066310454,0.00022562098,0.000024045388],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020330539,0.00009823304,0.9910722,0.00000830571,0.0000643615,0.0000042257057,0.000953136,0.0061776894,0.0000056993254,0.0011789383,0.000024835957,0.0003920521],"study_design_scores_gemma":[0.00052721123,0.000055080312,0.9872872,0.000024063347,0.000013354135,0.000010535986,0.00014446139,0.0034421242,0.000025981595,0.007813669,0.0005314382,0.00012487962],"about_ca_topic_score_codex":0.00058656215,"about_ca_topic_score_gemma":0.0005887266,"teacher_disagreement_score":0.0066347304,"about_ca_system_score_codex":0.000050901504,"about_ca_system_score_gemma":0.00001750895,"threshold_uncertainty_score":0.45695558},"labels":[],"label_agreement":null},{"id":"W2070024519","doi":"10.1007/s11116-006-9109-1","title":"Influences on bicycle use","year":2006,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":407,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Cycling; Work (physics); Credence; Transport engineering; Logit; Travel behavior; Pedestrian; Discrete choice; Preference; Geography; Engineering; Econometrics; Statistics; Mathematics","score_opus":0.08342971261101793,"score_gpt":0.2027921433880477,"score_spread":0.11936243077702978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070024519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99288344,0.00005200935,0.00090484007,0.00011155739,0.000090209935,0.00007437935,0.000071281414,0.000026125537,0.005786169],"genre_scores_gemma":[0.99854,0.000016014685,0.00031959306,0.0001530803,0.000037865248,0.000011128458,0.000170195,0.0000085277625,0.00074359693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946153,0.0000025761342,0.00027007092,0.00016248843,0.000017081084,0.00008623915],"domain_scores_gemma":[0.99977815,0.000014060294,0.00010434294,0.00008476518,0.0000024763017,0.000016179836],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007904821,0.000059661466,0.00008747932,0.00005989449,0.000041569638,0.000021861773,0.000037729522,0.000036516078,0.00037701623],"category_scores_gemma":[0.000002733933,0.000072100534,0.000037427966,0.000046929723,0.000019847565,0.00030247602,5.283192e-7,0.000032967906,0.0010505618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004706512,0.000033353193,0.8842701,0.0000024205517,0.0000034573447,4.44987e-7,0.000068393725,0.005903359,0.00006335933,0.10934981,0.0001459341,0.00015469524],"study_design_scores_gemma":[0.00019778793,0.000024057237,0.97979146,0.0000028320026,0.0000021899111,7.5786424e-8,0.000011717724,0.0002532521,0.00023831788,0.016855348,0.0025369069,0.00008607919],"about_ca_topic_score_codex":0.00089982676,"about_ca_topic_score_gemma":0.00015797096,"teacher_disagreement_score":0.09552137,"about_ca_system_score_codex":0.00003817126,"about_ca_system_score_gemma":0.0000017985432,"threshold_uncertainty_score":0.99972725},"labels":[],"label_agreement":null},{"id":"W2070177498","doi":"10.1016/j.erss.2014.11.001","title":"Value seeking, price sensitive, or green? Analyzing preference heterogeneity among residential energy consumers in Denmark","year":2014,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"European Regional Development Fund; Energinet.dk","keywords":"Preference; Value (mathematics); Energy (signal processing); Revealed preference; Economics; Econometrics; Business; Statistics; Microeconomics; Mathematics","score_opus":0.14883011694253082,"score_gpt":0.30561350068878934,"score_spread":0.15678338374625853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070177498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584606,0.000096492215,0.0059190835,0.00018836744,0.00016931516,0.00008996707,0.000011476836,0.000017917719,0.03504677],"genre_scores_gemma":[0.9976638,0.00019313561,0.00018014194,0.00011009338,0.00014695893,0.00003521148,0.0000067661686,0.000017871114,0.0016460277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971581,0.00030397598,0.0005268505,0.0008661407,0.00028407027,0.0008608654],"domain_scores_gemma":[0.9989941,0.00021560866,0.000233713,0.00028804183,0.00005978857,0.00020872816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056023155,0.00016222167,0.00032484526,0.00055944006,0.00085395674,0.0002059383,0.0006133595,0.00013316896,0.00019747525],"category_scores_gemma":[0.00047779173,0.00018096658,0.000077217366,0.0012241035,0.0013680179,0.00075615366,0.00040349536,0.00026670904,0.000101991776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006365215,0.00010985615,0.6948056,0.000013303043,0.000029789491,0.00000975141,0.0009030034,0.00048300254,0.0019010698,0.29397574,0.00016325086,0.007541971],"study_design_scores_gemma":[0.00050754246,0.00008721519,0.9589672,0.000022697104,0.0000030137858,0.0000020997766,0.00022513719,0.0226532,0.0024841656,0.011490456,0.0032087374,0.0003485252],"about_ca_topic_score_codex":0.021091225,"about_ca_topic_score_gemma":0.008369158,"teacher_disagreement_score":0.2824853,"about_ca_system_score_codex":0.00080905337,"about_ca_system_score_gemma":0.0001308676,"threshold_uncertainty_score":0.98542744},"labels":[],"label_agreement":null},{"id":"W2071006029","doi":"10.1016/j.socscimed.2014.05.026","title":"Testing a discrete choice experiment including duration to value health states for large descriptive systems: Addressing design and sampling issues","year":2014,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital; Centre for Advancing Health Outcomes","funders":"Medical Research Council; National Institute for Health and Care Research","keywords":"Respondent; Sample (material); Statistics; Valuation (finance); Descriptive statistics; Sample size determination; Econometrics; Duration (music); Time-trade-off; Computer science; Mathematics; Psychology; Economics","score_opus":0.3380126598237711,"score_gpt":0.3780117370484451,"score_spread":0.039999077224673996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071006029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44111675,0.0012230418,0.55381256,0.002330708,0.00034691524,0.00069643377,0.000015545385,0.000025812922,0.00043219968],"genre_scores_gemma":[0.99260163,0.000022814122,0.006371096,0.0004708743,0.00040684585,0.00007530097,0.000009225915,0.0000113996775,0.00003083781],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987231,0.00003571591,0.00045025264,0.0003784113,0.0000717763,0.00034072573],"domain_scores_gemma":[0.99927515,0.00018298552,0.00032121272,0.00007493732,0.000024478306,0.00012126443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004356479,0.00010370838,0.00028701444,0.00012027399,0.0010080327,0.00009164326,0.000107939595,0.000029298517,0.000007875925],"category_scores_gemma":[0.00085261004,0.000104439256,0.000015250246,0.00019706773,0.00014789547,0.00035601965,0.000050303443,0.00004754881,0.0000054698066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006434403,0.000121870704,0.21332565,0.00034727328,0.00005438016,3.0927197e-7,0.32368445,0.009485253,0.021248324,0.40751365,0.0015424733,0.022612037],"study_design_scores_gemma":[0.0038324804,0.0020155564,0.24724044,0.0010447259,0.000031394276,0.0000038324915,0.04679238,0.6418955,0.0011517883,0.04054667,0.014285368,0.0011598921],"about_ca_topic_score_codex":0.0009986032,"about_ca_topic_score_gemma":0.000007874776,"teacher_disagreement_score":0.6324102,"about_ca_system_score_codex":0.00052361854,"about_ca_system_score_gemma":0.000026658352,"threshold_uncertainty_score":0.7753075},"labels":[],"label_agreement":null},{"id":"W2071509156","doi":"10.1007/s13157-010-0112-0","title":"Approaching Wetland Valuation in Canada","year":2010,"lang":"en","type":"article","venue":"Wetlands","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Stantec (Canada)","funders":"U.S. Army Corps of Engineers","keywords":"Wetland; Valuation (finance); Environmental resource management; Ecosystem services; Business; Environmental economics; Environmental science; Ecosystem; Economics; Ecology; Accounting","score_opus":0.05678258750068146,"score_gpt":0.18914577617229236,"score_spread":0.1323631886716109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071509156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96862185,0.00003794006,0.00048846443,0.00024129945,0.00044255165,0.00008446753,0.000017347093,0.0000067576652,0.030059295],"genre_scores_gemma":[0.99912083,0.000014566404,0.00030836364,0.00014194136,0.00007631736,0.000016003076,0.000049296,0.0000097324855,0.00026292182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993232,0.0000062165304,0.00029280933,0.00020020579,0.000024044133,0.0001535344],"domain_scores_gemma":[0.9996842,0.000019791947,0.00010172485,0.00015018237,0.0000019916092,0.00004210104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004372425,0.00007130772,0.00014038225,0.00007040544,0.00003934597,0.000018737514,0.00008907036,0.000044177774,0.0005690814],"category_scores_gemma":[0.000029059602,0.00008426094,0.000021187465,0.000056554047,0.000010824545,0.00012647345,0.0000198379,0.00015929759,0.00017311802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018334856,0.000011207722,0.98437214,0.0000027419658,0.0000035313194,5.801211e-7,0.00008122569,0.00035735697,0.00009017976,0.01403807,0.00014715047,0.0008939857],"study_design_scores_gemma":[0.00041789582,0.0000065839104,0.9718131,0.0000017778378,0.0000010774307,0.0000018116856,0.000049932794,0.015710935,0.00006167919,0.0076023177,0.004213957,0.00011894853],"about_ca_topic_score_codex":0.5314156,"about_ca_topic_score_gemma":0.8917829,"teacher_disagreement_score":0.36036727,"about_ca_system_score_codex":0.0002372637,"about_ca_system_score_gemma":0.000055471864,"threshold_uncertainty_score":0.6231042},"labels":[],"label_agreement":null},{"id":"W2071835348","doi":"10.1139/x99-213","title":"Regional forest resource accounting: a northern Alberta case study","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Forest Service; Alberta-Pacific Forest Industries","keywords":"Nonmarket forces; Recreation; Resource (disambiguation); Sustainability; Context (archaeology); Forest management; Environmental resource management; Business; Fishing; Geography; Natural resource economics; Forestry; Environmental science; Ecology; Economics","score_opus":0.16269508057950463,"score_gpt":0.27816084585976786,"score_spread":0.11546576528026323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071835348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759772,0.00053122046,0.000006156574,0.0009185173,0.00006926512,0.0002304725,0.000014174809,0.0000018938955,0.022251101],"genre_scores_gemma":[0.99491274,0.000026388692,0.00003498219,0.000096190066,0.0002645764,0.000009107743,0.000006013642,0.00002860129,0.004621386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998369,0.000066587745,0.0006839358,0.0002506133,0.0001066679,0.00052324554],"domain_scores_gemma":[0.99873805,0.00014168631,0.00021024658,0.00030270076,0.000064634936,0.00054267986],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023413207,0.000118515214,0.00026835408,0.00059651973,0.00040580943,0.0001602749,0.00039117422,0.000084788284,0.0029566083],"category_scores_gemma":[0.00015590712,0.0001303852,0.00011297385,0.0002569119,0.00018445907,0.00032483917,0.00001943316,0.0004681468,0.0010703416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000163463,0.00006186447,0.9899366,0.0000039044976,0.00004408208,0.0009276679,0.001760338,0.0015709188,1.2862786e-7,0.0014143381,0.0027845195,0.0014793304],"study_design_scores_gemma":[0.00092057494,0.00041029544,0.87636364,0.000019643854,0.000006645304,0.0019644934,0.0038429708,0.0003244327,4.3597302e-7,0.004116339,0.111851186,0.000179347],"about_ca_topic_score_codex":0.1942953,"about_ca_topic_score_gemma":0.8078448,"teacher_disagreement_score":0.61354953,"about_ca_system_score_codex":0.00059914234,"about_ca_system_score_gemma":0.00031771892,"threshold_uncertainty_score":0.99970746},"labels":[],"label_agreement":null},{"id":"W2072196320","doi":"10.1016/j.csda.2007.09.022","title":"Identification-robust simulation-based inference in joint discrete/continuous models for energy markets","year":2007,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université Laval","funders":"","keywords":"Context (archaeology); Inference; Identification (biology); Instrumental variable; Econometrics; Monte Carlo method; Computer science; Logit; Curse of dimensionality; Mathematical optimization; Discrete choice; Statistical inference; Mathematics; Statistics; Machine learning; Artificial intelligence","score_opus":0.14873746570838683,"score_gpt":0.2951493901335995,"score_spread":0.14641192442521264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072196320","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017521031,0.00010874062,0.972701,0.000042638305,0.0000685663,0.00015048137,0.009310596,0.000011212631,0.00008574026],"genre_scores_gemma":[0.8549729,0.000012355937,0.12944749,0.00008413062,0.00002957135,0.000014041551,0.015358591,0.000014924264,0.000066008026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979961,0.00002144948,0.0010991294,0.00058561517,0.0000807851,0.00021695445],"domain_scores_gemma":[0.99773175,0.001143705,0.00054086285,0.0004535032,0.00005948107,0.000070728915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012448265,0.00014309958,0.00036814593,0.0005268868,0.0001134712,0.000087646156,0.0002787292,0.00006395552,0.00025035546],"category_scores_gemma":[0.00037143778,0.00018860008,0.00008203556,0.0004170115,0.000056404286,0.00037355773,0.000076407174,0.00005487937,0.000030334617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013146387,0.0000667224,0.058284122,0.000008729701,0.0001504379,8.6294835e-7,0.00002786859,0.8603694,0.0000010478803,0.08030482,0.00007507088,0.00069776986],"study_design_scores_gemma":[0.00030886565,0.0000068246954,0.18156973,0.0000027466801,0.00008075424,5.3463708e-8,0.000010635428,0.71663254,0.0000014369846,0.10114543,0.00008880919,0.00015218377],"about_ca_topic_score_codex":0.0007334526,"about_ca_topic_score_gemma":0.0005557579,"teacher_disagreement_score":0.8432535,"about_ca_system_score_codex":0.00022149654,"about_ca_system_score_gemma":0.000035850975,"threshold_uncertainty_score":0.7690888},"labels":[],"label_agreement":null},{"id":"W2072410854","doi":"10.1016/j.landusepol.2013.09.007","title":"Irrigator preferences for water recovery budget expenditure in the Murray-Darling Basin, Australia","year":2013,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; University of Alberta","funders":"Australian Research Council; Commonwealth Scientific and Industrial Research Organisation; University of Lethbridge; National Climate Change Adaptation Research Facility; U.S. Department of Energy","keywords":"Entitlement (fair division); Economics; Purchasing; Agricultural economics; Preference; Natural resource economics; Business; Microeconomics; Operations management","score_opus":0.14826679341378343,"score_gpt":0.2621831302976894,"score_spread":0.11391633688390598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072410854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99619246,0.000060901937,0.00030792016,0.0016643497,0.00016994467,0.00042418265,0.00014591216,0.0000086096625,0.0010257114],"genre_scores_gemma":[0.9959133,0.00006930415,0.0005923024,0.0009775409,0.00025744856,0.00019595161,0.00009602327,0.000011881208,0.0018862421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906963,0.00002885629,0.00040814304,0.00021912948,0.000018135644,0.00025607916],"domain_scores_gemma":[0.99956423,0.0000895113,0.00011729866,0.00018618038,0.000003933452,0.000038832426],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005548684,0.000111299945,0.00024319654,0.00010601712,0.000066930166,0.00015974866,0.0001590076,0.0000889892,0.00084037485],"category_scores_gemma":[0.00007970964,0.00007374708,0.000088127934,0.000035561327,0.000022987288,0.00045737464,0.000023115103,0.00008895205,0.0009586114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008538844,0.0000691113,0.9794096,0.000022447224,0.000031891548,3.116039e-7,0.0016854769,0.0003026812,0.000040238334,0.011262328,0.0066683856,0.00049900834],"study_design_scores_gemma":[0.0005202837,0.00004483249,0.9165618,0.000009300564,0.0000049811943,0.0000015971682,0.00015957563,0.00048067083,0.00018563613,0.05729149,0.024552183,0.00018765464],"about_ca_topic_score_codex":0.0066736015,"about_ca_topic_score_gemma":0.00021065588,"teacher_disagreement_score":0.062847786,"about_ca_system_score_codex":0.00008008962,"about_ca_system_score_gemma":0.000006625701,"threshold_uncertainty_score":0.99994105},"labels":[],"label_agreement":null},{"id":"W2072856641","doi":"10.1108/09653561111126111","title":"Measuring people's preferences for cyclone vulnerability reduction measures in Bangladesh","year":2011,"lang":"en","type":"article","venue":"Disaster Prevention and Management An International Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Vulnerability (computing); Cyclone (programming language); Vulnerability assessment; Environmental economics; Originality; Environmental resource management; Warning system; Risk analysis (engineering); Environmental science; Environmental planning; Business; Computer security; Computer science; Psychology; Economics; Social psychology","score_opus":0.19907722183709745,"score_gpt":0.2706429204359717,"score_spread":0.07156569859887427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072856641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667965,0.000095556716,0.024082921,0.00009780094,0.00070164195,0.00026064087,0.000009482519,0.000009529376,0.007945903],"genre_scores_gemma":[0.9963053,0.00051694043,0.00235859,0.00003043522,0.00010771115,0.000056567722,0.00003460732,0.000007993224,0.00058187166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915457,0.000030214354,0.00042183106,0.0002285484,0.000053939104,0.000110891204],"domain_scores_gemma":[0.9996404,0.000004668221,0.00021031323,0.00008036805,0.000018638595,0.0000456053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085764437,0.000082475315,0.000119181495,0.00020120107,0.00006635012,0.000097846154,0.00014893981,0.00003261045,0.00036845356],"category_scores_gemma":[0.000010343157,0.000093073206,0.000061517014,0.00003090132,0.000022245837,0.00083992403,0.00004072886,0.000067441586,0.000016309377],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017390538,0.00053318904,0.85931337,0.000038228456,0.00021209223,0.0000015622604,0.00509209,0.000113240414,0.000028459192,0.07863684,0.00008632647,0.05577072],"study_design_scores_gemma":[0.0009919067,0.00007714669,0.8948403,0.000028700022,0.000009962858,0.0000106872985,0.0011234301,0.00044610535,0.000029227947,0.10156665,0.00075322785,0.0001226834],"about_ca_topic_score_codex":0.000039054346,"about_ca_topic_score_gemma":0.000111055975,"teacher_disagreement_score":0.055648036,"about_ca_system_score_codex":0.0001081356,"about_ca_system_score_gemma":0.0000029305204,"threshold_uncertainty_score":0.40343082},"labels":[],"label_agreement":null},{"id":"W2073008079","doi":"10.1139/f03-105","title":"Extending production models to include process error in the population dynamics","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Estimator; Statistics; Population; Mathematics; Monte Carlo method; Kalman filter; Efficient estimator; Computer science; Econometrics; Minimum-variance unbiased estimator","score_opus":0.1171908705322932,"score_gpt":0.2394657232636831,"score_spread":0.1222748527313899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073008079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933535,0.00030042775,0.00093249715,0.0027935146,0.00022036035,0.000085725376,0.000002122319,6.364765e-7,0.0023112525],"genre_scores_gemma":[0.99906075,0.000022677841,0.000644345,0.00019668232,0.000022357728,0.0000029249138,7.599686e-7,0.0000026597547,0.000046846984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994177,0.000017542448,0.00029550385,0.00010999891,0.00003348624,0.00012574915],"domain_scores_gemma":[0.9996907,0.000017723432,0.00016454182,0.000047586673,0.000004312062,0.00007510234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013266256,0.00004813627,0.0001061923,0.00018037118,0.00019469218,0.000101392296,0.00011250585,0.000019675477,0.000031000094],"category_scores_gemma":[0.00015083846,0.000040500705,0.000016346881,0.00019856237,0.0000800654,0.0005354725,0.0000026419912,0.00005115156,0.0000029962928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011633899,0.0000063827874,0.9443397,0.0000050211784,0.0000026497835,0.000001120031,0.003885105,0.006519542,6.039117e-7,0.043067914,0.00006534858,0.0021054535],"study_design_scores_gemma":[0.00016901598,0.00015884668,0.6628022,0.00004313396,0.0000048440747,0.00005729468,0.01250268,0.033103347,0.000008473868,0.29033598,0.0006407204,0.00017340913],"about_ca_topic_score_codex":0.0030490563,"about_ca_topic_score_gemma":0.019888047,"teacher_disagreement_score":0.28153744,"about_ca_system_score_codex":0.00012569927,"about_ca_system_score_gemma":0.000055143086,"threshold_uncertainty_score":0.99799645},"labels":[],"label_agreement":null},{"id":"W2073029687","doi":"10.3141/2254-02","title":"On the Information Matrix in Mixed Logit Models Estimation","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Logit; Nonparametric statistics; Econometrics; Context (archaeology); Mixed logit; Relevance (law); Computer science; Population; Logistic regression; Discrete choice; Estimation; Normality; Construct (python library); Statistics; Mathematics; Data mining; Engineering; Geography","score_opus":0.3238640583459675,"score_gpt":0.3307339118501738,"score_spread":0.006869853504206325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073029687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853524,0.000106318425,0.008742794,0.0022032324,0.0003637188,0.00082743337,0.00007193156,0.000011015611,0.0023211672],"genre_scores_gemma":[0.9977087,0.00043518245,0.0013651017,0.00009319155,0.00003444487,0.00008614838,0.000020830044,0.00002315435,0.00023326337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9965396,0.00037822634,0.0016920771,0.00024685974,0.0006404336,0.00050278485],"domain_scores_gemma":[0.99791974,0.00053513347,0.00068464526,0.00040038387,0.0003301719,0.00012990288],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006455105,0.00016803546,0.00032341405,0.0009813064,0.00033298446,0.00009321775,0.0007716902,0.00015301554,0.0009169511],"category_scores_gemma":[0.00019527947,0.00012645387,0.00022584037,0.00094732846,0.00031410213,0.0016677532,0.000007137755,0.0012655291,0.00034365285],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008839809,0.00036669354,0.2997858,0.00010100346,0.00009397953,0.000013222678,0.010281725,0.041120782,0.000050302828,0.6398078,0.0035880404,0.003906626],"study_design_scores_gemma":[0.00080876856,0.00025907226,0.77920616,0.000083486004,0.0000062436516,1.7589153e-7,0.0012200758,0.0065598395,0.00016405196,0.21082968,0.0007451008,0.000117363066],"about_ca_topic_score_codex":0.007205655,"about_ca_topic_score_gemma":0.0056040855,"teacher_disagreement_score":0.47942033,"about_ca_system_score_codex":0.00039259845,"about_ca_system_score_gemma":0.00010678384,"threshold_uncertainty_score":0.99999636},"labels":[],"label_agreement":null},{"id":"W2073396957","doi":"10.2174/1874398600902010009","title":"Effects of Showing Forest Simulation Results on SFM Preferences of Forest Users in Central Labrador","year":2009,"lang":"en","type":"article","venue":"The Open Forest Science Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Université du Québec à Montréal","funders":"Suomen Kulttuurirahasto","keywords":"Status quo; Block (permutation group theory); Stability (learning theory); Computer science; Frame (networking); Presentation (obstetrics); Econometrics; Environmental resource management; Statistics; Geography; Mathematics; Machine learning; Environmental science; Economics","score_opus":0.0929582375244578,"score_gpt":0.2671844773918735,"score_spread":0.1742262398674157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073396957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99508834,0.00005638467,0.00036794232,0.00027250792,0.00019019523,0.00034510638,0.000008119228,0.0000020775626,0.003669355],"genre_scores_gemma":[0.99949694,0.00006225372,0.0002639694,0.00006498622,0.00003672231,0.0000026126618,0.0000022006407,0.0000050739077,0.00006525107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99867153,0.000023856945,0.00069425255,0.00022371075,0.00010648627,0.00028017783],"domain_scores_gemma":[0.998887,0.00014844304,0.0006807966,0.00019852548,0.0000146613165,0.00007055958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021457304,0.00009893909,0.00025205253,0.00021182584,0.00018271376,0.000142836,0.0008573204,0.000039514252,0.000025206524],"category_scores_gemma":[0.0002699039,0.000078772675,0.00005847961,0.00029000483,0.0002183754,0.0011350744,0.000083389124,0.00015157834,0.000015424637],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102292426,0.00010040587,0.47284263,0.000005637919,0.000005146312,8.268733e-7,0.0008493848,0.5034771,0.000091799666,0.02091885,0.00001569929,0.0015902034],"study_design_scores_gemma":[0.0009014947,0.0003224154,0.91176564,0.00007875126,0.000003750798,0.0000018156477,0.00012095441,0.042331528,0.00043554074,0.043925527,0.000028741975,0.00008386208],"about_ca_topic_score_codex":0.00029885588,"about_ca_topic_score_gemma":0.0003226507,"teacher_disagreement_score":0.46114558,"about_ca_system_score_codex":0.00017852198,"about_ca_system_score_gemma":0.000049861403,"threshold_uncertainty_score":0.32122564},"labels":[],"label_agreement":null},{"id":"W2073547308","doi":"10.1016/s1096-7508(01)00053-2","title":"Buyer preferences for durum wheat: a stated preference approach","year":2000,"lang":"en","type":"article","venue":"The International Food and Agribusiness Management Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bushel; Competitor analysis; Purchasing; Preference; Business; Marketing; Product (mathematics); Value (mathematics); Agribusiness; Sample (material); Economics; Agricultural science; Agriculture; Microeconomics; Mathematics; Biology; Statistics; Acre","score_opus":0.13725019950620035,"score_gpt":0.22804171437719278,"score_spread":0.09079151487099243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073547308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43271616,0.124356635,0.014465108,0.024040762,0.00090593484,0.005543985,0.0008080245,0.00012442656,0.39703897],"genre_scores_gemma":[0.81973135,0.16694447,0.0009572686,0.0017997838,0.00010129614,0.0005119455,0.00032621544,0.000015148387,0.009612529],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991804,0.000008980486,0.00036225445,0.00027847476,0.000043512813,0.00012640325],"domain_scores_gemma":[0.9996503,0.000019057814,0.00014022252,0.00015452813,0.000012770678,0.000023116727],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038893765,0.000116916926,0.00020142495,0.000034783283,0.00008498562,0.000068435824,0.0002818715,0.000020955058,0.0012592848],"category_scores_gemma":[0.000007722898,0.00008741238,0.000054401084,0.00006914368,0.0000343289,0.00019689409,0.00006241771,0.00004160475,0.00015825518],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008742235,0.0004724446,0.013875807,0.003587479,0.0009767226,7.138027e-7,0.00022640223,0.00066485954,0.000006053386,0.57685554,0.021787938,0.38145858],"study_design_scores_gemma":[0.001011462,0.000099738405,0.1456404,0.00068100967,0.000086963584,0.0000058217042,0.00006109481,0.0022870407,0.000009017971,0.045715306,0.80398625,0.00041591874],"about_ca_topic_score_codex":0.000019409488,"about_ca_topic_score_gemma":0.00000425663,"teacher_disagreement_score":0.7821983,"about_ca_system_score_codex":0.00003376722,"about_ca_system_score_gemma":0.000002308373,"threshold_uncertainty_score":0.9996537},"labels":[],"label_agreement":null},{"id":"W2074438703","doi":"10.1080/02508060.2010.487299","title":"Coping with poor water services and the demand for change in Trinidad and Tobago","year":2010,"lang":"en","type":"article","venue":"Water International","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sewerage; Willingness to pay; Business; Tariff; Contingent valuation; Water supply; Coping (psychology); Water industry; Service (business); Public economics; Natural resource economics; Economics; Marketing; Environmental engineering; International trade; Medicine","score_opus":0.04988404204984636,"score_gpt":0.21967613244548545,"score_spread":0.16979209039563908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074438703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99112976,0.000049658316,0.00015322951,0.007468134,0.00019840448,0.00020541233,0.000021428004,0.000003474718,0.00077048066],"genre_scores_gemma":[0.99800134,0.00004298045,0.00024100248,0.0012291187,0.00010538314,0.00010077619,0.00004034465,0.0000065663694,0.00023247993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958867,0.0000031992588,0.0001537265,0.00014828579,0.000013771053,0.00009233722],"domain_scores_gemma":[0.99987715,0.000016172451,0.000034029446,0.000049459333,0.000004219356,0.000018950088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032052974,0.00005531225,0.00009410879,0.0000488668,0.0000395428,0.00005901983,0.00006683387,0.000029820785,0.00016833794],"category_scores_gemma":[0.0000026762195,0.000032007454,0.000013308484,0.000005505687,0.000052396983,0.00019944452,0.00004455174,0.00004770552,0.000032921063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018038442,0.000030104626,0.94744736,0.00003196688,0.000055810546,6.291242e-7,0.005628516,0.00002583445,0.00035302126,0.045020048,0.0000429468,0.0011833535],"study_design_scores_gemma":[0.010304448,0.00008912089,0.852813,0.000022845783,0.000012430978,0.000024709623,0.00020076694,0.018970538,0.0048305457,0.037690364,0.07468656,0.00035468207],"about_ca_topic_score_codex":0.00024638843,"about_ca_topic_score_gemma":0.0003145585,"teacher_disagreement_score":0.09463439,"about_ca_system_score_codex":0.000013407142,"about_ca_system_score_gemma":6.7917915e-7,"threshold_uncertainty_score":0.18431824},"labels":[],"label_agreement":null},{"id":"W2074530809","doi":"10.1016/j.tra.2012.05.010","title":"Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach","year":2012,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Indian Institute of Technology Bombay; University of Sydney; University of Calgary","keywords":"Crowding; Willingness to pay; Attractiveness; Multinomial logistic regression; Econometrics; Preference; Mixed logit; Valuation (finance); Context (archaeology); Headway; Statistics; Geography; Computer science; Transport engineering; Economics; Mathematics; Logistic regression; Simulation; Engineering; Microeconomics; Psychology","score_opus":0.5099406606094253,"score_gpt":0.3785349518086967,"score_spread":0.13140570880072866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074530809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943201,0.0006325065,0.0005600362,0.0012465025,0.000017958662,0.00035044248,0.0001624039,0.0000047447143,0.0027052986],"genre_scores_gemma":[0.99882823,0.0004978349,0.00035419923,0.00011315904,0.000037293277,0.000057740675,0.000058632377,0.000009612577,0.000043309585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986039,0.0002355824,0.00057491334,0.00018845782,0.00010228199,0.00029487247],"domain_scores_gemma":[0.99816257,0.0011922177,0.0003487229,0.00016452571,0.0000660372,0.00006593765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053120116,0.00008711871,0.00022785841,0.00021956082,0.00008845391,0.000017571536,0.00011979003,0.0000715937,0.0000642339],"category_scores_gemma":[0.00054819416,0.000086125234,0.000029328217,0.00054761785,0.00012879641,0.0010372356,0.000011118841,0.00025348514,0.000009282696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023202976,0.00039582638,0.8611414,0.0002730555,0.00007465273,4.1845246e-7,0.037308164,0.0017804414,0.00076410995,0.097385876,0.000025205982,0.00061881804],"study_design_scores_gemma":[0.00047177068,0.000044710523,0.9903441,0.000029656443,0.000009961062,0.0000013053261,0.0041235564,0.00067271024,0.00046902668,0.0017595234,0.0019838014,0.00008985631],"about_ca_topic_score_codex":0.012272605,"about_ca_topic_score_gemma":0.00030107948,"teacher_disagreement_score":0.12920272,"about_ca_system_score_codex":0.00007688985,"about_ca_system_score_gemma":0.000053981745,"threshold_uncertainty_score":0.9943048},"labels":[],"label_agreement":null},{"id":"W2075694439","doi":"10.1002/atr.5670380204","title":"Value of leisure time based on individuals' mode choice behavior","year":2004,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Council","keywords":"Value (mathematics); Value of time; Mode (computer interface); Time value of money; Leisure time; Revealed preference; Economics; Time preference; Government (linguistics); Preference; Econometrics; Wage; Travel time; Microeconomics; Statistics; Labour economics; Computer science; Mathematics; Engineering; Transport engineering; Finance","score_opus":0.029584687725361266,"score_gpt":0.233740046050811,"score_spread":0.20415535832544973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075694439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934311,0.000113937225,0.0056097275,0.00015252078,0.0001669864,0.0001254215,0.00012078983,0.0000048941524,0.00027465008],"genre_scores_gemma":[0.9921069,0.000045493718,0.00764575,0.000052205713,0.00004483161,0.000005339383,0.000054659176,0.000015644498,0.000029175593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99892986,0.000006530587,0.0007703199,0.00012743105,0.000067709625,0.00009812194],"domain_scores_gemma":[0.99888176,0.000029838036,0.00091374444,0.00010388719,0.00002195027,0.000048841714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002328258,0.000096013595,0.0003003068,0.00017014556,0.000029627801,0.0000064824962,0.000095862335,0.00006406029,0.00013882051],"category_scores_gemma":[0.000014785439,0.00010854111,0.0001372299,0.0000781585,0.000026215308,0.00037813402,9.3703267e-7,0.0001159064,0.0000441233],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030581807,0.00021743044,0.25531018,0.000012029714,0.000017101222,0.0000017498772,0.0002724775,0.7389088,0.0008571598,0.0038608846,0.0000048571983,0.00050674315],"study_design_scores_gemma":[0.0021331415,0.00033659002,0.9899136,0.000045657718,0.000031025585,0.0000010983479,0.0000375684,0.00041167974,0.0021692207,0.00456717,0.0002433128,0.00010994881],"about_ca_topic_score_codex":0.000023878167,"about_ca_topic_score_gemma":0.00000702363,"teacher_disagreement_score":0.73849714,"about_ca_system_score_codex":0.00013017279,"about_ca_system_score_gemma":0.000023641145,"threshold_uncertainty_score":0.44261783},"labels":[],"label_agreement":null},{"id":"W2076030168","doi":"10.1002/jae.971","title":"Identification of parameters in normal error component logit‐mixture (NECLM) models","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Normalization (sociology); Logit; Econometrics; Identification (biology); Computer science; Covariance; Probit; Logistic regression; Probit model; Database normalization; Statistics; Mathematics; Artificial intelligence; Machine learning; Pattern recognition (psychology)","score_opus":0.11483466698266287,"score_gpt":0.2272581193112295,"score_spread":0.11242345232856663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076030168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9512446,0.0006124563,0.03973195,0.00009292314,0.00037882157,0.00018232208,0.000033411583,0.0000043817586,0.007719113],"genre_scores_gemma":[0.9965069,0.00048649573,0.0027814268,0.00009535189,0.0000565027,0.0000036323152,0.000010006723,0.00001966371,0.000040009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99701756,0.000007215078,0.0023978646,0.00024440067,0.00006828227,0.00026466465],"domain_scores_gemma":[0.9971505,0.00011176028,0.0023816384,0.00022618915,0.000025379382,0.000104548555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032067734,0.00015143378,0.0005797956,0.0016937691,0.000033923858,0.000030551862,0.00030265484,0.00015339282,0.00009773172],"category_scores_gemma":[0.000053557378,0.00018000085,0.00016946082,0.00057621143,0.000069158785,0.000476327,0.000047324495,0.00025211443,0.00008997506],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003525494,0.0012745695,0.24202259,0.00013276974,0.00027523577,0.000011668098,0.0021205696,0.57518435,0.0013523998,0.16388538,0.00039262953,0.012995256],"study_design_scores_gemma":[0.0036983842,0.0003413045,0.81531537,0.000028101866,0.000041041094,0.000025535097,0.001323795,0.032132067,0.0076304195,0.137697,0.0010718069,0.0006951647],"about_ca_topic_score_codex":0.00001725103,"about_ca_topic_score_gemma":0.000008857112,"teacher_disagreement_score":0.5732928,"about_ca_system_score_codex":0.00047477797,"about_ca_system_score_gemma":0.00001788974,"threshold_uncertainty_score":0.73402214},"labels":[],"label_agreement":null},{"id":"W2076629760","doi":"10.1016/j.foreco.2004.10.026","title":"Multiple-use management of forest recreation sites: a spatially explicit choice experiment","year":2004,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":180,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Recreation; Zoning; Species richness; Forest management; Geography; Environmental resource management; Biodiversity; Preference; Ecology; Business; Environmental science; Forestry; Economics; Engineering","score_opus":0.0645094988550843,"score_gpt":0.22645420024268592,"score_spread":0.16194470138760164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076629760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98484683,0.00026786263,0.007968721,0.00023254922,0.00018459313,0.0008119123,0.0000227236,0.000025489962,0.0056393314],"genre_scores_gemma":[0.9901225,0.0016926024,0.0065963273,0.00019025784,0.000027142494,0.00027916845,0.00010728576,0.000018425042,0.0009662646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987909,0.000010375229,0.00051986374,0.00040984276,0.000033452616,0.00023557388],"domain_scores_gemma":[0.9993449,0.000034284963,0.0002827933,0.00027226363,0.0000066006996,0.000059146667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023764312,0.00016049718,0.0002657193,0.00015790421,0.00010352623,0.00002567607,0.00012530014,0.00008330807,0.00012242775],"category_scores_gemma":[0.000010615995,0.00019184097,0.00006350085,0.00007069396,0.00006531425,0.00026188322,0.00016789125,0.00005108177,0.00019006373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025009931,0.0001891422,0.6525612,0.00009069714,0.0001564438,0.0000052878113,0.00018570268,0.0069456208,0.0000054120974,0.33935595,0.000093164635,0.0003863545],"study_design_scores_gemma":[0.0020183907,0.00018161663,0.97589815,0.00003056994,0.00003301353,0.0000012362457,0.00018227256,0.00077330286,0.000054517655,0.015484004,0.0051547857,0.00018812648],"about_ca_topic_score_codex":0.0002704176,"about_ca_topic_score_gemma":0.0007545571,"teacher_disagreement_score":0.32387194,"about_ca_system_score_codex":0.00020340711,"about_ca_system_score_gemma":0.0000028899349,"threshold_uncertainty_score":0.78230476},"labels":[],"label_agreement":null},{"id":"W2076715122","doi":"10.1016/j.ecolecon.2005.07.006","title":"A Box-Cox Double-Hurdle model of wildlife valuation: The citizen's perspective","year":2005,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Perspective (graphical); Wildlife; Contingent valuation; Valuation (finance); Payment; Willingness to pay; Actuarial science; Wildlife conservation; Preference elicitation; Public economics; Preference; Economics; Public good; Marketing; Business; Microeconomics; Computer science; Ecology; Finance","score_opus":0.14022959396312548,"score_gpt":0.23884079330361607,"score_spread":0.09861119934049059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076715122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9189562,0.00030736427,0.0032077283,0.007718472,0.00020014505,0.0004343737,0.00010722077,0.000032254055,0.06903623],"genre_scores_gemma":[0.9929082,0.0004121623,0.002765717,0.002187706,0.00021713332,0.00008459586,0.0000186693,0.000022317157,0.0013834969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829876,0.000021324178,0.00086348836,0.0004902829,0.000027085083,0.0002990669],"domain_scores_gemma":[0.99883324,0.000114268,0.0005524991,0.00039134614,0.000023626013,0.00008500147],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009394061,0.0001939998,0.00045395573,0.00008343939,0.00017065139,0.000047414676,0.0003700072,0.0001755675,0.0018568609],"category_scores_gemma":[0.000066904504,0.00018033275,0.00021765674,0.000067663255,0.00022568992,0.00033994383,0.00013183063,0.00018660401,0.0013234643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003989242,0.00018700182,0.012861938,0.000003445355,0.00006271035,1.3380296e-7,0.0005945337,0.2118067,0.000008366391,0.7731647,0.0008737557,0.00039681487],"study_design_scores_gemma":[0.0025872996,0.00021103924,0.06257793,0.0000043905957,0.000029446906,0.0000050975746,0.0008270452,0.48320785,0.00023229809,0.44229403,0.007496932,0.00052661926],"about_ca_topic_score_codex":0.00004947203,"about_ca_topic_score_gemma":0.00006492999,"teacher_disagreement_score":0.33087066,"about_ca_system_score_codex":0.0007216783,"about_ca_system_score_gemma":0.000042176114,"threshold_uncertainty_score":0.99945414},"labels":[],"label_agreement":null},{"id":"W2076990845","doi":"10.1037/a0032922","title":"Spend today, clean tomorrow: Predicting methamphetamine abstinence in a randomized controlled trial.","year":2013,"lang":"en","type":"article","venue":"Health Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kimberly-Clark (Canada)","funders":"National Institute on Drug Abuse; National Institute of Mental Health","keywords":"Abstinence; Contingency management; Randomized controlled trial; Methamphetamine; Medicine; Earnings; Voucher; Demography; Psychology; Economics; Psychiatry; Internal medicine; Finance; Intervention (counseling)","score_opus":0.13522371333972583,"score_gpt":0.32838603396968447,"score_spread":0.19316232062995864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076990845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94106567,0.0014773267,0.0020317752,0.013370817,0.001398615,0.005255227,0.000010818026,0.00004033186,0.035349403],"genre_scores_gemma":[0.9870423,0.0010141877,0.0012530067,0.008061766,0.00015669635,0.0012530088,0.00001890606,0.000024705703,0.0011754044],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99663204,0.00026745952,0.0020479525,0.0005359184,0.00003329878,0.00048332213],"domain_scores_gemma":[0.9980884,0.0004193161,0.0010220434,0.00033281327,0.000008478813,0.0001289057],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0050604786,0.00018157573,0.0018374536,0.00027248438,0.000069419555,0.00002367535,0.00017311898,0.00013636453,0.004014134],"category_scores_gemma":[0.0004790075,0.00018337292,0.00020904407,0.00012083264,0.00010877555,0.0001885464,0.000034696204,0.00022275925,0.0022308598],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.63325423,0.00214032,0.24186975,0.00020504036,0.00045899328,0.000010460657,0.004185922,0.0004809216,0.00003416579,0.07743945,0.016521785,0.02339895],"study_design_scores_gemma":[0.9083552,0.0002461248,0.06827926,0.00001845373,0.0000053087347,0.000005753204,0.00006859359,0.0046815225,0.000001342345,0.016980158,0.0011743885,0.00018394811],"about_ca_topic_score_codex":0.0011343476,"about_ca_topic_score_gemma":0.000121739446,"teacher_disagreement_score":0.27510092,"about_ca_system_score_codex":0.00016678126,"about_ca_system_score_gemma":0.00002127685,"threshold_uncertainty_score":0.998546},"labels":[],"label_agreement":null},{"id":"W2077017565","doi":"10.4000/vertigo.13417","title":"Gestion des déchets ménagers : comment les collectivités françaises mobilisent-elles leurs usagers ?","year":2013,"lang":"fr","type":"article","venue":"VertigO","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Computer science; Art","score_opus":0.14316451520069898,"score_gpt":0.23144288133365606,"score_spread":0.08827836613295709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077017565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9487427,0.01906842,0.003706587,0.014998248,0.0015138647,0.00073637086,0.00009929052,0.000048426493,0.011086133],"genre_scores_gemma":[0.9751639,0.006069554,0.0016992358,0.0009723006,0.00012989195,0.00017907444,0.000045479937,0.000058276462,0.015682306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979377,0.000081438644,0.0007293091,0.00062033115,0.00006467168,0.0005665693],"domain_scores_gemma":[0.9989265,0.0001832103,0.00031121544,0.00037837826,0.0000214785,0.000179178],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00036877312,0.00033087627,0.00046476471,0.00020871485,0.00051743956,0.00018181207,0.00022428857,0.00030121763,0.008610337],"category_scores_gemma":[0.00010213588,0.0004442647,0.00022545914,0.00020195478,0.00057116867,0.0008408023,0.0001051273,0.0002592089,0.0042482186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019459005,0.00052998285,0.8769244,0.00012659152,0.0001820027,0.0000030015178,0.0015701614,0.0072410684,0.00020528985,0.009154052,0.044940587,0.059103433],"study_design_scores_gemma":[0.0012999373,0.000261957,0.8407276,0.00017744234,0.000057733265,0.0000069721027,0.0017406483,0.018531816,0.0011961883,0.0075349435,0.12771995,0.0007447877],"about_ca_topic_score_codex":0.004478845,"about_ca_topic_score_gemma":0.00020231906,"teacher_disagreement_score":0.08277936,"about_ca_system_score_codex":0.0009639163,"about_ca_system_score_gemma":0.000022841441,"threshold_uncertainty_score":0.9998009},"labels":[],"label_agreement":null},{"id":"W2077312671","doi":"10.1016/j.jebo.2012.09.016","title":"An experimental investigation of mixed systems of public and private health care finance","year":2012,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; McMaster University; York University","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; McMaster University; Ecolab","keywords":"Health care; Public health insurance; Actuarial science; Health insurance; Private insurance; Health care financing; Public economics; Public finance; Economics; Willingness to pay; Private sector; Public health; Self-insurance; Business; Finance; Microeconomics; Medicine; Economic growth","score_opus":0.08567027974848342,"score_gpt":0.2502767410653135,"score_spread":0.1646064613168301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077312671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956874,0.0028966255,0.00057262124,0.000048517224,0.00056266045,0.00016894346,0.00003956525,0.000004026561,0.000019591102],"genre_scores_gemma":[0.99887866,0.00024015298,0.00067689153,0.00001505614,0.00009875613,0.0000034397465,0.000056983892,0.000023389603,0.00000668122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854356,0.000040337214,0.0011145235,0.00012460783,0.000028650225,0.00014831239],"domain_scores_gemma":[0.9980739,0.000010057062,0.0016301181,0.00014521173,0.000037666865,0.000103063554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006967934,0.00009986693,0.00038240285,0.00018505858,0.000052955693,0.000025513315,0.000110836525,0.00007293532,0.000090840505],"category_scores_gemma":[0.000013988829,0.00011025537,0.000037935737,0.000058438887,0.0000639747,0.0011017891,0.000026784828,0.00006120516,0.000014830719],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027354622,0.0000793173,0.9799903,0.0000266374,0.000012415198,6.01724e-8,0.0022650051,0.00025700586,0.0049513294,0.012226968,0.000020890888,0.00016736011],"study_design_scores_gemma":[0.0005681812,0.00025081064,0.9650134,0.000017648976,0.000014620849,0.000017865957,0.0013549896,0.00009927238,0.032386027,0.000058983132,0.00009531383,0.0001229278],"about_ca_topic_score_codex":0.00005846014,"about_ca_topic_score_gemma":0.0000026842429,"teacher_disagreement_score":0.027434697,"about_ca_system_score_codex":0.0004843151,"about_ca_system_score_gemma":0.000038710157,"threshold_uncertainty_score":0.44960836},"labels":[],"label_agreement":null},{"id":"W2077610156","doi":"10.4000/vertigo.10050","title":"Éthique et évaluation monétaire de l'environnement : la nature est-elle soluble dans l’utilité ?","year":2010,"lang":"fr","type":"article","venue":"VertigO","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.02983791922607578,"score_gpt":0.22685914215329864,"score_spread":0.19702122292722285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077610156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9368607,0.00440252,0.0060291174,0.006975203,0.002699684,0.0004541215,0.00011085551,0.00003708991,0.042430725],"genre_scores_gemma":[0.97387433,0.0022337332,0.0058098612,0.0014722202,0.00023666015,0.000117819465,0.00012733051,0.00005843046,0.016069643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980692,0.00012483927,0.00063742505,0.0006066031,0.000072972296,0.0004889367],"domain_scores_gemma":[0.99887574,0.00012170352,0.00030402266,0.0005361976,0.000011501154,0.00015082935],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019356267,0.00027669765,0.00033673985,0.00011786503,0.00022359485,0.00010805222,0.00027469805,0.0009160553,0.0037026994],"category_scores_gemma":[0.00013233554,0.00038446064,0.0001939154,0.00010563243,0.00020818015,0.00049498695,0.00013657975,0.0011256089,0.0015511713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013139335,0.00034308044,0.5717332,0.000052387983,0.000071093295,0.0000042960655,0.0017055351,0.0023237271,0.0009154281,0.41303676,0.0030745561,0.006726817],"study_design_scores_gemma":[0.00091640436,0.00010205458,0.60511786,0.00004363398,0.0000461995,0.000017913695,0.00041342474,0.05867419,0.001364103,0.034759674,0.29805794,0.00048658272],"about_ca_topic_score_codex":0.0004890656,"about_ca_topic_score_gemma":0.0010630328,"teacher_disagreement_score":0.3782771,"about_ca_system_score_codex":0.00045050908,"about_ca_system_score_gemma":0.00009597235,"threshold_uncertainty_score":0.9998607},"labels":[],"label_agreement":null},{"id":"W2077647638","doi":"10.1139/f06-025","title":"Compensation ratios needed to offset timing effects of losses and gains and achieve no net loss of productive capacity of fish habitat","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; National Oceanic and Atmospheric Administration","keywords":"Compensation (psychology); Environmental science; Offset (computer science); Habitat; Natural resource economics; Economics; Ecology; Computer science; Biology","score_opus":0.05279448355469081,"score_gpt":0.20254703823586176,"score_spread":0.14975255468117094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077647638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99782777,0.00029125696,0.0001965889,0.0010993257,0.00009562392,0.00011022487,0.000028546425,4.0463948e-7,0.0003502376],"genre_scores_gemma":[0.9985887,0.00005375377,0.00121637,0.00008774888,0.000025020807,9.50152e-7,0.0000014730383,0.0000025232716,0.000023504423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934334,0.000016079364,0.000407092,0.00010873425,0.000033663728,0.00009107396],"domain_scores_gemma":[0.99930793,0.000098352284,0.0004467103,0.000045043627,0.000021190655,0.0000807484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045288814,0.000060626575,0.0002631347,0.00014860318,0.0000822758,0.000032205342,0.000058537626,0.000023957751,0.000014825407],"category_scores_gemma":[0.00019475687,0.0000597276,0.000020764426,0.000092214905,0.0005324976,0.00029581768,0.0000087891385,0.00003166595,4.194093e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012498549,0.000015985663,0.9925705,0.00010211076,0.000018885003,7.3922826e-7,0.0025790536,0.00022516405,0.00056046713,0.0025542725,0.0005456908,0.0008146207],"study_design_scores_gemma":[0.00040173298,0.0007623268,0.984338,0.00010840211,0.000015654286,0.000011955789,0.0014387973,0.0018793101,0.002338445,0.008379553,0.00020843656,0.00011739967],"about_ca_topic_score_codex":0.0082311025,"about_ca_topic_score_gemma":0.0067879325,"teacher_disagreement_score":0.0082325265,"about_ca_system_score_codex":0.000027865026,"about_ca_system_score_gemma":0.000053267537,"threshold_uncertainty_score":0.99837315},"labels":[],"label_agreement":null},{"id":"W2077698107","doi":"10.1007/s10666-005-9036-0","title":"Estimating home energy decision parameters for a hybrid energy—economy policy model","year":2006,"lang":"en","type":"article","venue":"Environmental Modeling & Assessment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Resources Canada","keywords":"Discrete choice; Retrofitting; Subsidy; Energy (signal processing); Key (lock); Economics; Order (exchange); Energy policy; Environmental economics; Computer science; Econometrics; Engineering; Renewable energy; Mathematics; Statistics","score_opus":0.04734918136267895,"score_gpt":0.23576299384208743,"score_spread":0.18841381247940847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077698107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31800005,0.00024672828,0.6778478,0.00014497782,0.00016105249,0.00016688723,0.0001739218,0.0000341262,0.0032244406],"genre_scores_gemma":[0.83850294,0.00007491366,0.1595437,0.00044605078,0.00020913826,0.00027650193,0.0003971674,0.00007377249,0.000475828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974892,0.000014525109,0.0010573664,0.0008414155,0.00007618601,0.0005212961],"domain_scores_gemma":[0.99897176,0.00006711775,0.00040138813,0.00043289753,0.0000031528762,0.00012369432],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003921881,0.00035440954,0.00047324775,0.00024835268,0.000277992,0.00011591072,0.00026053647,0.00010658019,0.000110068446],"category_scores_gemma":[0.000007294401,0.00045147573,0.00026545697,0.000049848575,0.000066404056,0.0004961984,0.00014487741,0.00010435,0.00006945551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013441748,0.00019129581,0.0045575933,0.0000069735515,0.00003363716,7.2872143e-7,0.000023961193,0.9242458,0.00009325242,0.066277154,0.00016136536,0.004394814],"study_design_scores_gemma":[0.0007814699,0.00005889113,0.00070220535,0.000010086391,0.000011626571,0.0000032944251,0.000025012698,0.71822524,0.00010222068,0.27913657,0.00057992805,0.00036346228],"about_ca_topic_score_codex":0.00081389013,"about_ca_topic_score_gemma":0.000012127841,"teacher_disagreement_score":0.52050287,"about_ca_system_score_codex":0.001526267,"about_ca_system_score_gemma":0.000032275202,"threshold_uncertainty_score":0.9997937},"labels":[],"label_agreement":null},{"id":"W2077856509","doi":"10.1007/s10640-005-3781-z","title":"Commentary on Econometric Modeling Strategies for Stated Preference Experiments By David Layton","year":2006,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Preference; Economics; Econometrics; Econometric model; Econometric analysis; Microeconomics","score_opus":0.06836674892608507,"score_gpt":0.1948029594771203,"score_spread":0.12643621055103524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077856509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99077934,0.0014008235,0.0015837845,0.00038876067,0.000115051065,0.00046249703,0.0010990269,0.000026954716,0.004143749],"genre_scores_gemma":[0.99569976,0.0004873807,0.00035667155,0.0012256501,0.00012455553,0.000108648936,0.0010503911,0.000051595158,0.00089534215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826306,0.00001459029,0.0006748355,0.00066548615,0.000025855907,0.00035618272],"domain_scores_gemma":[0.9993191,0.000047545564,0.0002784475,0.0002526195,9.778433e-7,0.00010135984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025721366,0.000288601,0.0003665128,0.00015448409,0.00023896199,0.00013429517,0.00017188847,0.00013647311,0.00031957024],"category_scores_gemma":[0.0000020666346,0.00034927134,0.000097482545,0.000028875154,0.000096959724,0.00036692,0.000090834495,0.00012745675,0.00019738883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000855978,0.0040268316,0.27953017,0.00017906053,0.00073588436,0.0000037434068,0.0041457196,0.5471129,0.0026314827,0.07003473,0.07622936,0.01451415],"study_design_scores_gemma":[0.010873728,0.0017207374,0.046973396,0.000045012133,0.00007172861,0.000011281481,0.009360439,0.51119906,0.003268042,0.082038246,0.33105338,0.003384941],"about_ca_topic_score_codex":0.0001922164,"about_ca_topic_score_gemma":0.0000120431605,"teacher_disagreement_score":0.254824,"about_ca_system_score_codex":0.00040341052,"about_ca_system_score_gemma":0.000004360088,"threshold_uncertainty_score":0.99989593},"labels":[],"label_agreement":null},{"id":"W2078055840","doi":"10.1002/jrsm.14","title":"Evidence synthesis, economics and public policy","year":2010,"lang":"en","type":"article","venue":"Research Synthesis Methods","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Scope (computer science); Systematic review; Economic evaluation; Economics; Empirical evidence; Variety (cybernetics); Evidence-based policy; Public economics; Management science; Computer science; Political science; MEDLINE","score_opus":0.45728461813340754,"score_gpt":0.42920831491217637,"score_spread":0.02807630322123117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078055840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417662,0.0031132388,0.0047657117,0.012300623,0.00033981574,0.00042314717,0.00006548245,0.000055627843,0.03717016],"genre_scores_gemma":[0.923285,0.01025922,0.06528542,0.000101256606,0.00033054184,0.00025948143,0.0000014426142,0.00004707076,0.00043057653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974144,0.0005011472,0.0006019475,0.0007264743,0.00006236347,0.0006936805],"domain_scores_gemma":[0.9923355,0.0063756183,0.00019824502,0.0007263705,0.00003183298,0.00033241676],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.016285505,0.00018600082,0.00047214335,0.0007633451,0.0003593604,0.0002898026,0.00050397875,0.00022034561,0.0016533994],"category_scores_gemma":[0.020756323,0.0002133912,0.00010794373,0.00028499827,0.0004998879,0.0007345827,0.00031623853,0.00051618996,0.000982416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012597915,0.00009099555,0.08366109,0.000041629355,0.00006860076,9.4272343e-7,0.0001298357,0.000010088619,0.0023460698,0.6216039,0.00022202321,0.2918122],"study_design_scores_gemma":[0.00033386546,0.00010700943,0.42645034,0.00008311728,0.00002393422,0.00004093764,0.0005394643,0.01233279,0.028096566,0.35467526,0.17617968,0.001137045],"about_ca_topic_score_codex":0.00076838915,"about_ca_topic_score_gemma":0.00007722152,"teacher_disagreement_score":0.34278926,"about_ca_system_score_codex":0.00026988666,"about_ca_system_score_gemma":0.00011485772,"threshold_uncertainty_score":0.99979544},"labels":[],"label_agreement":null},{"id":"W2078618560","doi":"10.5367/te.2013.0184","title":"Estimating the Effects of Different Admission Fees on Revenues for a Mega-Event Using a Contingent Valuation Method","year":2013,"lang":"en","type":"article","venue":"Tourism Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Visitor pattern; Mega-; Valuation (finance); Willingness to pay; Event (particle physics); Population; Business; Constraint (computer-aided design); Contingent valuation; Quarter (Canadian coin); Economics; Finance; Geography; Demography; Microeconomics; Computer science","score_opus":0.08264554543809952,"score_gpt":0.2708654719679255,"score_spread":0.18821992652982597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078618560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92651457,0.00029048423,0.070812196,0.0003970266,0.00061024155,0.0011056435,0.000024818468,0.000012156492,0.00023286123],"genre_scores_gemma":[0.97523427,0.000063483436,0.02370063,0.00022138435,0.00023055777,0.00021887453,0.000019755435,0.00003433508,0.00027670112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986549,0.000043437973,0.0007278341,0.00033376605,0.000023517263,0.00021654835],"domain_scores_gemma":[0.9983935,0.0004028949,0.0008318376,0.0002970607,0.000013982377,0.000060776674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007362554,0.00017628788,0.0004072587,0.00009138363,0.00015275953,0.000051009196,0.0001717927,0.00008656208,0.0001120253],"category_scores_gemma":[0.00022975476,0.00016030489,0.00017708374,0.000029173538,0.00003225586,0.00018199159,0.000056655346,0.000086495114,0.00005660897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026439517,0.0018749377,0.1469988,0.001809711,0.0014543408,0.0000015932193,0.010065559,0.35589284,0.011164249,0.21169467,0.0063154413,0.2524635],"study_design_scores_gemma":[0.00117095,0.00027396475,0.062771946,0.000104755876,0.00004797717,0.0000015924129,0.00007706884,0.78338456,0.005947027,0.14544597,0.00048209532,0.00029208206],"about_ca_topic_score_codex":0.00017949706,"about_ca_topic_score_gemma":0.0000038760036,"teacher_disagreement_score":0.42749175,"about_ca_system_score_codex":0.00026702633,"about_ca_system_score_gemma":0.000012635405,"threshold_uncertainty_score":0.65370435},"labels":[],"label_agreement":null},{"id":"W2079087968","doi":"10.1007/s00355-010-0487-0","title":"Judgments regarding the fair division of goods: the impact of verbal versus quantitative descriptions of alternative divisions","year":2010,"lang":"en","type":"article","venue":"Social Choice and Welfare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; McMaster University","funders":"Ontario Ministry of Health and Long-Term Care; McMaster University","keywords":"Fair division; Meaning (existential); Psychology; Preference; Social psychology; Sample (material); Maximization; Cognitive psychology; Economics; Microeconomics","score_opus":0.12635982095345993,"score_gpt":0.30828550238600483,"score_spread":0.1819256814325449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079087968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949725,0.00019341418,0.00015172308,0.00045212315,0.00024342885,0.00013880822,0.00034563892,0.0000026855434,0.0034996432],"genre_scores_gemma":[0.9997833,0.000073695686,0.00004319394,0.000006640044,0.000042821226,0.0000071348054,0.000012673963,0.000007128108,0.00002346218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993961,0.000023513418,0.00031453103,0.00012909037,0.00003938703,0.00009737023],"domain_scores_gemma":[0.9992764,0.00014876973,0.0004075793,0.00012813511,0.000019057774,0.000020068414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003176298,0.0000790803,0.00020403799,0.000040988572,0.00025916766,0.000011923521,0.00014711237,0.000053901804,0.00013793787],"category_scores_gemma":[0.00011537396,0.000055920507,0.00014789001,0.00008487543,0.0002294483,0.00016225214,0.00007685394,0.0001256641,0.0000054262464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006274352,0.00016271813,0.70130074,0.00002288693,0.00039163788,8.231879e-8,0.010450227,0.0003525823,0.00097561395,0.2834174,0.00028241333,0.0025809277],"study_design_scores_gemma":[0.00067557505,0.0001540754,0.9897389,0.000008216651,0.000018448556,9.3469644e-8,0.0026596652,0.00049454364,0.000116090225,0.005745822,0.00032109433,0.00006747059],"about_ca_topic_score_codex":0.0019208431,"about_ca_topic_score_gemma":0.00011937132,"teacher_disagreement_score":0.28843814,"about_ca_system_score_codex":0.00003969845,"about_ca_system_score_gemma":0.000007668288,"threshold_uncertainty_score":0.2903753},"labels":[],"label_agreement":null},{"id":"W2079103070","doi":"10.2165/11586060-000000000-00000","title":"Eliciting Preferences for Reimbursed Drugs Selection Criteria in Côte dʼIvoire","year":2011,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Formulary; Transparency (behavior); Listing (finance); Health care; Medicine; Actuarial science; Population; Family medicine; Business; Environmental health; Computer science; Economics; Finance; Economic growth","score_opus":0.17583159350178115,"score_gpt":0.23209292504156417,"score_spread":0.05626133153978302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079103070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97757167,0.00010587263,0.00089748326,0.000027748205,0.0002278241,0.00026149364,0.000026317866,0.000014132634,0.020867446],"genre_scores_gemma":[0.99753785,0.00002540315,0.0020826447,0.00009114041,0.000031850475,0.00012073878,0.000021155234,0.000010679602,0.000078562276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992379,0.000009328301,0.0003661725,0.00022415072,0.000012898396,0.00014953954],"domain_scores_gemma":[0.99969953,0.000016819393,0.00017609505,0.00007631556,0.0000055458795,0.00002569238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002203765,0.000073517185,0.00013686962,0.00008743611,0.000050366754,0.000013260654,0.000054486434,0.000044972516,0.000542725],"category_scores_gemma":[0.000025210868,0.00008894017,0.000039012393,0.000048417554,0.000015047249,0.00015260039,0.00001750925,0.000042009528,0.00013989488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053388292,0.00019611626,0.93971235,0.000036086312,0.00002217715,1.8830065e-7,0.0118164895,0.0001516443,0.00013506247,0.015672872,0.0003455874,0.031858057],"study_design_scores_gemma":[0.001155969,0.00052549836,0.8464656,0.0000420445,0.0000074085156,9.1392803e-7,0.0014252507,0.018204357,0.0034242298,0.124352515,0.00394817,0.00044804325],"about_ca_topic_score_codex":0.00032668715,"about_ca_topic_score_gemma":0.000041498617,"teacher_disagreement_score":0.108679645,"about_ca_system_score_codex":0.00012292423,"about_ca_system_score_gemma":0.0000046579567,"threshold_uncertainty_score":0.59424585},"labels":[],"label_agreement":null},{"id":"W2079797651","doi":"10.1016/j.ecolmodel.2013.06.017","title":"Modeling the habitat associations and spatial distribution of benthic macroinvertebrates: A hierarchical Bayesian model for zero-inflated biomass data","year":2013,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Biomass (ecology); Habitat; Ecology; Spatial distribution; Environmental science; Benthic zone; Spatial ecology; Bayesian probability; Stock assessment; Bayesian hierarchical modeling; Geography; Physical geography; Bayesian inference; Statistics; Mathematics; Biology","score_opus":0.1424922238068583,"score_gpt":0.24159248604740957,"score_spread":0.09910026224055127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079797651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41724077,0.00017337038,0.58111227,0.00059034216,0.000036047328,0.00032772272,0.00046330158,0.000011926081,0.000044276123],"genre_scores_gemma":[0.9934114,0.00014109864,0.005368549,0.00009358877,0.000032026233,0.00007815372,0.0008332737,0.000013110647,0.000028767907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986523,0.000024367919,0.00063351484,0.00040919436,0.000035242832,0.0002454143],"domain_scores_gemma":[0.99925417,0.00016136513,0.00021591701,0.00028130476,0.00002307781,0.00006419456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006814088,0.00012652349,0.0002847662,0.000037141905,0.00024430588,0.000062576175,0.00025288467,0.00016192542,0.000052489675],"category_scores_gemma":[0.00012329835,0.00011017109,0.00006816181,0.000057332287,0.00008636621,0.00030864438,0.00015762278,0.00013879198,0.000034799355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076235865,0.000087419845,0.026489288,0.000016221147,0.000041967603,6.1782515e-8,0.00012803888,0.95145214,0.00002582301,0.021265728,0.00007221682,0.00041346092],"study_design_scores_gemma":[0.00028873948,0.000037221092,0.0067044394,0.000004096358,0.000012527515,3.04143e-7,0.000021332224,0.8190145,0.000006975296,0.17379129,0.000008123547,0.000110450696],"about_ca_topic_score_codex":0.00039032171,"about_ca_topic_score_gemma":0.00006324737,"teacher_disagreement_score":0.5761707,"about_ca_system_score_codex":0.00010459651,"about_ca_system_score_gemma":0.000013203668,"threshold_uncertainty_score":0.44926468},"labels":[],"label_agreement":null},{"id":"W2080172215","doi":"10.5539/ijef.v1n2p238","title":"Water Pricing, Affordability and Public Choice: An Economic Assessment from a Large Indian Metropolis","year":2009,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bidding; Multinomial logistic regression; Sustainability; Discrete choice; Water supply; Preference; Choice modelling; Environmental economics; Willingness to pay; Resource (disambiguation); Water pricing; Business; Water resource management; Economics; Water resources; Water conservation; Environmental science; Microeconomics; Environmental engineering; Computer science; Marketing; Econometrics","score_opus":0.04050214719928758,"score_gpt":0.25530483048315306,"score_spread":0.21480268328386548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080172215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99441475,0.0005768255,0.0003209743,0.0028249666,0.00061299757,0.0000801541,0.00023996034,0.000003856542,0.0009254922],"genre_scores_gemma":[0.9932935,0.0041346927,0.0015373132,0.0005587586,0.00036834442,0.0000027490585,0.000047077858,0.00001254197,0.000044980898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998564,0.000015878919,0.000842371,0.00032680694,0.000024884666,0.00022606144],"domain_scores_gemma":[0.99904037,0.000035752342,0.0006268296,0.00016941609,0.000025137908,0.00010251415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066819676,0.00015551013,0.00037495507,0.00021336909,0.00008565597,0.00022724137,0.00028905476,0.00008952256,0.00023342783],"category_scores_gemma":[0.000021154345,0.00015743679,0.0000876684,0.000014694328,0.00006483506,0.0012046242,0.0000733441,0.0001625554,0.000030517353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004744335,0.00035772394,0.6928329,0.0000036753386,0.00022493528,0.0000074950563,0.0008684172,0.0013414688,0.000037850787,0.28262937,0.00012851207,0.02152025],"study_design_scores_gemma":[0.0018856928,0.00030869525,0.7999713,0.000011415394,0.000010940086,0.0000351896,0.00021172389,0.013978653,0.00016532585,0.14546347,0.037638266,0.0003193673],"about_ca_topic_score_codex":0.00027398844,"about_ca_topic_score_gemma":0.00016399552,"teacher_disagreement_score":0.13716589,"about_ca_system_score_codex":0.00044099125,"about_ca_system_score_gemma":0.000031816315,"threshold_uncertainty_score":0.6420086},"labels":[],"label_agreement":null},{"id":"W2081213237","doi":"10.1080/1028660021000018519","title":"Sensitivity analysis for multi-attribute project selection problems","year":2003,"lang":"en","type":"article","venue":"Civil Engineering and Environmental Systems","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Defense Science and Engineering Graduate; Fulbright New Zealand; McMaster University; U.S. Department of Defense","keywords":"Robustness (evolution); Sensitivity (control systems); Selection (genetic algorithm); Computer science; Portfolio; Operations research; Decision support system; Management science; Mathematical optimization; Risk analysis (engineering); Data mining; Machine learning; Engineering; Mathematics","score_opus":0.06112410204570043,"score_gpt":0.19083142152757862,"score_spread":0.1297073194818782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081213237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.664226,0.0013261588,0.3332846,0.000006740417,0.00022208515,0.00052211154,0.00021883751,0.00004320793,0.00015025001],"genre_scores_gemma":[0.9982126,0.00013707828,0.0007851497,0.000008159699,0.00003567947,0.00014470326,0.00010309989,0.000024988023,0.00054858206],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990221,0.000016798227,0.0003367976,0.00036937217,0.000025238951,0.00022966879],"domain_scores_gemma":[0.9996669,0.000028176448,0.00012616889,0.000119091805,0.0000013424813,0.000058285514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006023141,0.00015822446,0.00031869215,0.00015788164,0.00009626171,0.000045194363,0.000029262637,0.00008705802,0.000027940217],"category_scores_gemma":[0.000020579975,0.0001923741,0.00010554589,0.00011427001,0.000021647658,0.00014231828,0.000014165322,0.00006512459,0.000033243694],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001363546,0.000061158906,0.7267563,0.000061281455,0.00025928684,2.9895043e-7,0.0001425494,0.27003467,0.0006685511,0.0019549744,0.000039437564,0.000020126263],"study_design_scores_gemma":[0.0007479474,0.00006378897,0.3171031,0.000011995677,0.00008085612,0.00001647254,0.0001982927,0.67073077,0.0001246036,0.000020948773,0.010506443,0.00039480443],"about_ca_topic_score_codex":0.00017633663,"about_ca_topic_score_gemma":0.00003590225,"teacher_disagreement_score":0.40965322,"about_ca_system_score_codex":0.00022758363,"about_ca_system_score_gemma":0.0000023869059,"threshold_uncertainty_score":0.7844788},"labels":[],"label_agreement":null},{"id":"W2081377997","doi":"10.1111/j.1475-5890.2009.00102.x","title":"Experimental Tests of Survey Responses to Expenditure Questions","year":2009,"lang":"en","type":"article","venue":"Fiscal Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Irish Research Council; Irish Research Council for the Humanities and Social Sciences","keywords":"Respondent; Scale (ratio); Construct (python library); Test (biology); Quarter (Canadian coin); Rule of thumb; Point (geometry); Econometrics; Psychology; Economics; Actuarial science; Geography; Computer science; Mathematics; Political science","score_opus":0.2093277612790015,"score_gpt":0.3141035037509267,"score_spread":0.10477574247192523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081377997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913705,0.0046543535,0.00009852442,0.0006952046,0.00017349841,0.00012422235,0.00015373153,0.0000147826595,0.0027151832],"genre_scores_gemma":[0.99813074,0.00010013602,0.00040485745,0.0002554821,0.000044217726,0.000017326112,0.000013804253,0.0000057942148,0.0010276575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993046,0.000021221063,0.0003218413,0.00020488988,0.000022176087,0.00012529794],"domain_scores_gemma":[0.9996305,0.00007993108,0.000103181046,0.00013752563,0.0000067870674,0.00004206316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030515526,0.00009100321,0.00025717512,0.00007012983,0.00007547556,0.000009006067,0.0000841407,0.0000361445,0.00014121311],"category_scores_gemma":[0.00018771531,0.00009693136,0.000047148154,0.00006380057,0.00004447879,0.000089586916,0.00004542503,0.000039486433,0.00034682918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058243044,0.00021901833,0.9740673,0.0000043968225,0.000057439454,9.0703344e-7,0.0019269172,0.00010112634,0.00081859436,0.009102698,0.013183136,0.00046027085],"study_design_scores_gemma":[0.00016664327,0.00021051227,0.99369186,0.00000850171,0.0000017531248,5.9335247e-7,0.00031685058,0.0000088480365,0.0013441707,0.002258152,0.001882082,0.00011005382],"about_ca_topic_score_codex":0.000094986404,"about_ca_topic_score_gemma":0.00003829828,"teacher_disagreement_score":0.019624587,"about_ca_system_score_codex":0.000102551676,"about_ca_system_score_gemma":0.000002362078,"threshold_uncertainty_score":0.44579032},"labels":[],"label_agreement":null},{"id":"W2081775366","doi":"10.5430/jha.v1n1p30","title":"Quantification of the subjective labour load of a filmless radiology system by the contingent valuation method: a pilot study","year":2012,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Radiological weapon; Logistic regression; Medicine; Contingent valuation; Radiology; Valuation (finance); Medical physics; Willingness to pay; Finance; Internal medicine","score_opus":0.09210431764525415,"score_gpt":0.27178711450637993,"score_spread":0.1796827968611258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081775366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876203,0.00070903497,0.009862314,0.00028502432,0.0007375937,0.00045029525,0.000045936406,0.0000022348095,0.0002872593],"genre_scores_gemma":[0.99949664,0.000020840307,0.00027599436,0.000012680785,0.00009663268,0.00001431065,0.0000045322154,0.000007884372,0.00007045693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984701,0.00017844525,0.0010376844,0.00010860321,0.00010093879,0.000104183244],"domain_scores_gemma":[0.99700445,0.000114090675,0.0025720473,0.00018314051,0.00009643992,0.000029860936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033528022,0.000088814864,0.00029532344,0.000046679903,0.00007090597,0.000015467966,0.00018226175,0.00004015509,0.000024204444],"category_scores_gemma":[0.00018381058,0.00006409659,0.000094008006,0.00010006315,0.00005767769,0.0002806922,0.00002109883,0.0001079382,0.000008433145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012833018,0.0017880739,0.9571735,0.000036974732,0.00018303838,1.5687905e-7,0.003391837,0.00029816575,0.0019450783,0.03458732,0.00017681824,0.0002906535],"study_design_scores_gemma":[0.0006985737,0.0047504203,0.98238266,0.000018512743,0.000059211012,0.000015152214,0.0046646707,0.0005534731,0.005911738,0.00080608693,0.00005535348,0.00008415555],"about_ca_topic_score_codex":0.00009982406,"about_ca_topic_score_gemma":0.000012912911,"teacher_disagreement_score":0.03378123,"about_ca_system_score_codex":0.00023987406,"about_ca_system_score_gemma":0.00004886036,"threshold_uncertainty_score":0.2613783},"labels":[],"label_agreement":null},{"id":"W2081870257","doi":"10.1080/13657305.2011.549405","title":"PREFERENCES FOR HEALTH AND ENVIRONMENTAL ATTRIBUTES OF FARMED SALMON AMONGST SOUTHERN ONTARIO SALMON CONSUMERS","year":2011,"lang":"en","type":"article","venue":"Aquaculture Economics & Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"U.S. Food and Drug Administration; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Flesh; Agriculture; Fish farming; Sustainability; Business; Aquaculture; Fishery; Production (economics); Fish <Actinopterygii>; Biology; Ecology; Economics","score_opus":0.0802755392572414,"score_gpt":0.206568999360216,"score_spread":0.1262934601029746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081870257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99103147,0.0009896694,0.0004541505,0.00016004391,0.00017399337,0.00092019886,0.00061280583,0.000018163972,0.0056395],"genre_scores_gemma":[0.9918847,0.0013482767,0.0033814455,0.0003221152,0.000020086429,0.00011320026,0.0003889549,0.000029122317,0.0025121002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983023,0.00001413437,0.0007961743,0.00055198383,0.000021993925,0.0003134621],"domain_scores_gemma":[0.9988911,0.000023743894,0.00068944745,0.00026056162,0.000003218196,0.00013194267],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000421524,0.00024132329,0.0004891738,0.00010610588,0.00011518764,0.00003146787,0.00020037845,0.00009646771,0.0004179728],"category_scores_gemma":[0.000004664349,0.0002715367,0.00012354007,0.00002603095,0.0001370575,0.00021636928,0.00011052279,0.0000864918,0.00013442391],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012218983,0.00028436718,0.9439681,0.00013521138,0.00052683585,4.3385074e-7,0.013369716,0.000072914394,0.000008674426,0.033991598,0.00095221103,0.0065677203],"study_design_scores_gemma":[0.0032973592,0.0005584057,0.8984498,0.00004461346,0.00008548471,0.000003389144,0.012733516,0.00068752177,0.00021080746,0.043155104,0.039891202,0.00088278874],"about_ca_topic_score_codex":0.005346124,"about_ca_topic_score_gemma":0.00489583,"teacher_disagreement_score":0.04551832,"about_ca_system_score_codex":0.0004229071,"about_ca_system_score_gemma":0.000013684429,"threshold_uncertainty_score":0.99997365},"labels":[],"label_agreement":null},{"id":"W2082169938","doi":"10.1016/j.jenvman.2008.12.019","title":"Compensating aboriginal cultural losses: An alternative approach to assessing environmental damages","year":2009,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University; University of Victoria","funders":"","keywords":"Damages; Compensation (psychology); Neglect; Context (archaeology); Risk analysis (engineering); Environmental planning; Best practice; Environmental resource management; Management science; Business; Public economics; Engineering; Economics; Political science; Geography; Psychology; Social psychology; Law","score_opus":0.06157389606768262,"score_gpt":0.2618747161611104,"score_spread":0.20030082009342778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082169938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97097164,0.00035269978,0.008082402,0.0001791689,0.00024558397,0.00029160353,0.00004430287,0.000010114013,0.019822499],"genre_scores_gemma":[0.9762537,0.00030762015,0.022048635,0.0006474526,0.0002246493,0.0000060591688,0.000036975172,0.000023524914,0.00045139305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981352,0.0000401381,0.0009307473,0.00041277363,0.0001623586,0.00031879035],"domain_scores_gemma":[0.99872917,0.000012777612,0.00078028743,0.0002595754,0.0000020400253,0.00021614287],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006179866,0.00026175636,0.0004101612,0.0002344241,0.00016670815,0.00017459918,0.0004043038,0.00005551036,0.0003955822],"category_scores_gemma":[0.000003693711,0.00027756495,0.00015259947,0.00006466099,0.00008027479,0.0014396842,0.00007620971,0.00020641186,0.00029933994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037588962,0.012973932,0.63720435,0.00013134284,0.0013789133,0.00028949283,0.014526115,0.103406355,0.018866016,0.100208744,0.0020542662,0.108584575],"study_design_scores_gemma":[0.0013642793,0.0006267189,0.9800143,0.000027892489,0.000049464143,0.00005962771,0.005410534,0.0023530608,0.00030257617,0.0035046148,0.0058068978,0.00048002024],"about_ca_topic_score_codex":0.000008166052,"about_ca_topic_score_gemma":2.6756152e-7,"teacher_disagreement_score":0.34280995,"about_ca_system_score_codex":0.0008057083,"about_ca_system_score_gemma":0.0000031527331,"threshold_uncertainty_score":0.99996763},"labels":[],"label_agreement":null},{"id":"W2083257910","doi":"10.1080/07011784.2014.965037","title":"Economics of a pricing mechanism to compensate rural land owners for preserving wetlands","year":2014,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Manitoba","funders":"Manitoba Rural Adaptation Council","keywords":"Wetland; Business; Payment; Mechanism (biology); Agriculture; Natural resource economics; Ecosystem services; Market mechanism; Rural area; Environmental planning; Economics; Ecology; Environmental science; Finance; Market economy","score_opus":0.03943707943729263,"score_gpt":0.18449419560143898,"score_spread":0.14505711616414635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083257910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99476993,0.00018556869,0.0012361733,0.0008207942,0.0002659717,0.00034548118,0.00017006147,0.000015358793,0.0021906476],"genre_scores_gemma":[0.9969957,0.00015695632,0.0011695593,0.0003646196,0.00034570525,0.000030229414,0.000043571486,0.000066982684,0.0008266857],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776584,0.000051799885,0.0008986039,0.00037356105,0.00002388554,0.0008862867],"domain_scores_gemma":[0.9981921,0.0000719721,0.0004163021,0.0003323356,0.00005253189,0.0009347984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013213563,0.00026264324,0.0006154002,0.00070238987,0.00044799515,0.0002015786,0.0005390532,0.00013895804,0.00015859817],"category_scores_gemma":[0.00013197903,0.00025714244,0.00019341272,0.00008894595,0.000105797524,0.00028862187,0.000058099457,0.0001874545,0.000038494454],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019542385,0.000053700067,0.4770187,0.00054335024,0.00057374896,0.000026774109,0.45110884,0.056501422,0.0014062678,0.0035413322,0.0001153734,0.008915037],"study_design_scores_gemma":[0.0016126414,0.0009555573,0.029031955,0.00036830455,0.00005836264,0.00024181433,0.0013761957,0.026414545,0.0033410294,0.06128447,0.8741701,0.0011449786],"about_ca_topic_score_codex":0.080900125,"about_ca_topic_score_gemma":0.32491496,"teacher_disagreement_score":0.8740548,"about_ca_system_score_codex":0.000864456,"about_ca_system_score_gemma":0.0000046908817,"threshold_uncertainty_score":0.9999881},"labels":[],"label_agreement":null},{"id":"W2083637888","doi":"10.5367/000000008785633532","title":"Comparing Recreation Benefits from On-Site versus Household Surveys in Count Data Travel Cost Demand Models with Overdispersion","year":2008,"lang":"en","type":"article","venue":"Tourism Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Overdispersion; Count data; Negative binomial distribution; Econometrics; Tourism; Visitor pattern; Survey data collection; Estimator; Recreation; Truncation (statistics); Statistics; Poisson distribution; Sample (material); Economics; Geography; Mathematics; Computer science","score_opus":0.32446687748297726,"score_gpt":0.22708399753018643,"score_spread":0.09738287995279082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083637888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98503137,0.00037790893,0.004610647,0.00008738997,0.0002900278,0.00033225643,0.0013309063,0.000023373419,0.007916125],"genre_scores_gemma":[0.9944253,0.0026541676,0.0009250262,0.00010618783,0.00013613387,0.000019857944,0.001553229,0.00004977472,0.0001303276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982154,0.00004108807,0.0006462206,0.0007694513,0.000033478012,0.0002943949],"domain_scores_gemma":[0.9986347,0.00012483652,0.0003698591,0.0007646967,0.0000052165155,0.0001006744],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00090680894,0.0002397261,0.00051237515,0.00017026754,0.0001444609,0.00005523966,0.00033875665,0.0001438133,0.000116811185],"category_scores_gemma":[0.000011639376,0.00029625747,0.000047894307,0.00006600411,0.00006661127,0.00095187937,0.00012934154,0.00018735343,0.00034300698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018258943,0.00013971416,0.5596829,0.0000042745114,0.000062087776,0.000004839367,0.00043501714,0.4339795,0.0000020996433,0.004332362,0.00045289897,0.00072167144],"study_design_scores_gemma":[0.0031087908,0.000074677664,0.7303666,0.00002004538,0.000007912059,0.0000023281675,0.00006663765,0.26470417,0.000028973283,0.0009969027,0.0002904703,0.00033251938],"about_ca_topic_score_codex":0.0038857937,"about_ca_topic_score_gemma":0.0019882922,"teacher_disagreement_score":0.17068364,"about_ca_system_score_codex":0.00062911626,"about_ca_system_score_gemma":0.000025537172,"threshold_uncertainty_score":0.999949},"labels":[],"label_agreement":null},{"id":"W2083652136","doi":"10.1002/pam.20284","title":"Canada's voluntary ARET program: Limited success despite industry cosponsorship","year":2007,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Turnover; Credibility; Government (linguistics); Negotiation; Business; Confidentiality; Yield (engineering); Public economics; Economics; Political science; Management; Law","score_opus":0.050053644517904596,"score_gpt":0.2532905693212578,"score_spread":0.20323692480335323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083652136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98960584,0.00045445695,0.0025921194,0.00228399,0.000083311235,0.00012254217,0.000026429358,0.000004727517,0.0048265904],"genre_scores_gemma":[0.9963744,0.0006119785,0.0008598078,0.0010385327,0.00014756696,0.0000031243237,0.000011335911,0.000008939688,0.00094430643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986722,0.000016671103,0.0008028498,0.00017234853,0.00007191174,0.000264048],"domain_scores_gemma":[0.9989315,0.00003616388,0.00070212176,0.00015248942,0.000017002201,0.00016072526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014969176,0.000118261414,0.0003720238,0.0008493048,0.00008257284,0.000057006106,0.00015768135,0.00008138622,0.00016324241],"category_scores_gemma":[0.000030329842,0.00012366111,0.00014874003,0.0005691022,0.00003692313,0.00016850731,0.00006462181,0.00018377475,0.0000066727557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003381346,0.00011081725,0.9663361,0.000026375035,0.0017502876,0.000035809146,0.00008437596,0.00087748654,0.0000015058073,0.018581677,0.001882005,0.010279792],"study_design_scores_gemma":[0.00036475845,0.000060492213,0.9635759,0.000008677449,0.00026671344,0.0000049572777,0.00019410593,0.0005482242,0.000016201218,0.0009167847,0.033911068,0.00013212688],"about_ca_topic_score_codex":0.12223129,"about_ca_topic_score_gemma":0.10524272,"teacher_disagreement_score":0.032029063,"about_ca_system_score_codex":0.00043663385,"about_ca_system_score_gemma":0.00003199711,"threshold_uncertainty_score":0.9110843},"labels":[],"label_agreement":null},{"id":"W2083696559","doi":"10.1016/j.ijnurstu.2015.02.006","title":"Conducting a two-stage preference trial: Utility and challenges","year":2015,"lang":"en","type":"article","venue":"International Journal of Nursing Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Toronto Metropolitan University","funders":"National Institute of Nursing Research; Canadian Institutes of Health Research","keywords":"Preference; Selection (genetic algorithm); Protocol (science); Stage (stratigraphy); Intervention (counseling); Randomized controlled trial; Psychology; Clinical trial; Process (computing); Medicine; Alternative medicine; Computer science; Nursing; Artificial intelligence; Microeconomics; Economics; Surgery","score_opus":0.8340923462592781,"score_gpt":0.4051556381102072,"score_spread":0.42893670814907087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083696559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9502516,0.036604866,0.00024472323,0.0040346365,0.0022801023,0.000065650565,0.00000973385,0.000005364505,0.006503366],"genre_scores_gemma":[0.99409026,0.0047311517,0.00070589094,0.000048112586,0.00027623176,0.000001917183,7.4200926e-7,0.0000054475786,0.00014022394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992511,0.000020120362,0.0004707769,0.000121871104,0.000059589394,0.00007651677],"domain_scores_gemma":[0.99922955,0.00006243931,0.00052246393,0.00005516953,0.00008561427,0.00004476369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094428426,0.00006976368,0.00022904681,0.00009875665,0.000032555676,0.000030499856,0.000117249096,0.000022165697,0.000019869409],"category_scores_gemma":[0.000330366,0.00007013611,0.000053237607,0.000016356615,0.00010466313,0.00031576815,0.00003409131,0.000081291524,0.000013775181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00838527,0.0018334549,0.22848634,0.00008415801,0.0047622975,0.00005549492,0.09682391,0.0011436264,0.00008398511,0.33063614,0.0046121334,0.32309318],"study_design_scores_gemma":[0.093384385,0.002286107,0.21869944,0.0010046007,0.00014756426,0.0003630673,0.09147348,0.0028296309,0.00042035148,0.5500445,0.03830775,0.0010391463],"about_ca_topic_score_codex":0.000010112552,"about_ca_topic_score_gemma":0.000003069154,"teacher_disagreement_score":0.32205403,"about_ca_system_score_codex":0.0002273447,"about_ca_system_score_gemma":0.000011943548,"threshold_uncertainty_score":0.28600675},"labels":[],"label_agreement":null},{"id":"W2083725906","doi":"10.1093/qje/qjt018","title":"Fungibility and Consumer Choice: Evidence from Commodity Price Shocks*","year":2013,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":240,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Economics; Microdata (statistics); Econometrics; Fungibility; Microeconomics; Commodity; Salience (neuroscience); Gasoline; Consumer Expenditure Survey; Computer science; Macroeconomics","score_opus":0.1051238136878463,"score_gpt":0.23254885497378586,"score_spread":0.12742504128593957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083725906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99279016,0.003373212,0.0006660523,0.0019647197,0.00041886818,0.00019774064,0.000053927255,0.0000053122044,0.0005300103],"genre_scores_gemma":[0.997849,0.00087530393,0.00058218656,0.0003713713,0.00020351342,0.000007197244,0.000003422669,0.000014732498,0.00009328067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850494,0.000043248234,0.0010038884,0.00023472954,0.000019070383,0.00019412515],"domain_scores_gemma":[0.9979361,0.00052302,0.0010197421,0.00037441478,0.000025075029,0.000121594305],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010841893,0.00015074929,0.00041876407,0.000064744105,0.00011775169,0.00015518154,0.00035331718,0.00008106769,0.0012312185],"category_scores_gemma":[0.00006985783,0.00013393334,0.000121676065,0.00003195906,0.0001669947,0.0011388466,0.00003950989,0.0002383732,0.00068555924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033711825,0.000092923874,0.9821643,0.000013037671,0.00020232696,5.956543e-7,0.0031170433,0.00034869043,0.00007647941,0.0039302497,0.0016224838,0.0083981315],"study_design_scores_gemma":[0.000607594,0.00024014451,0.9219869,0.000022623179,0.000023702863,0.000017189965,0.00047354735,0.0050175716,0.000036657468,0.0688718,0.0024948174,0.00020747719],"about_ca_topic_score_codex":0.0008094662,"about_ca_topic_score_gemma":0.000059232578,"teacher_disagreement_score":0.064941555,"about_ca_system_score_codex":0.0001908627,"about_ca_system_score_gemma":0.000019730458,"threshold_uncertainty_score":0.9996818},"labels":[],"label_agreement":null},{"id":"W2083993884","doi":"10.1016/j.wre.2013.03.002","title":"Water use restrictions or wastewater recycling? A Canadian willingness to pay study for reclaimed wastewater","year":2013,"lang":"en","type":"article","venue":"Water Resources and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"Stockholm International Water Institute","keywords":"Reclaimed water; Willingness to pay; Contingent valuation; Wastewater; Water scarcity; Water use; Population; Water supply; Business; Natural resource economics; Environmental science; Water resource management; Water resources; Economics; Environmental engineering","score_opus":0.08247542307298997,"score_gpt":0.20959824093644866,"score_spread":0.1271228178634587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083993884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947761,0.000021996017,0.000046131452,0.0025659075,0.0004480566,0.0016059645,0.00013118847,0.00003177615,0.00037284745],"genre_scores_gemma":[0.9867097,0.00007405973,0.00065329956,0.0006684958,0.00021326699,0.00056911155,0.00009858047,0.00007653895,0.010936932],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99753386,0.000023331993,0.00087815896,0.0007668888,0.000020121846,0.00077766145],"domain_scores_gemma":[0.9989642,0.00004211864,0.00010174039,0.00044726656,0.000017378947,0.0004272807],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00053194247,0.00030099598,0.0004887879,0.00030739943,0.00044788833,0.00057630666,0.00022707558,0.00015519331,0.0011167367],"category_scores_gemma":[0.00001874063,0.00019570382,0.00010186753,0.000041312294,0.000050109327,0.0006778938,0.00014003097,0.00012687521,0.0019685074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027881967,0.00034116476,0.9479266,0.000069302565,0.00044586833,0.0000059383515,0.038129065,0.0064608664,0.0007291009,0.00049879483,0.0030932392,0.0020212592],"study_design_scores_gemma":[0.0037349525,0.0012323244,0.14450316,0.000031190077,0.00008019249,0.000024275105,0.0047059357,0.007021826,0.006225196,0.00821987,0.8223647,0.0018563616],"about_ca_topic_score_codex":0.064270034,"about_ca_topic_score_gemma":0.01932491,"teacher_disagreement_score":0.81927145,"about_ca_system_score_codex":0.0002766318,"about_ca_system_score_gemma":0.000008990099,"threshold_uncertainty_score":0.9997964},"labels":[],"label_agreement":null},{"id":"W2084177465","doi":"10.1007/s11273-015-9414-6","title":"Meta-analysis for the transfer of economic benefits of ecosystem services provided by wetlands within two watersheds in Quebec, Canada","year":2015,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Université du Québec à Montréal; Université de Sherbrooke","funders":"","keywords":"Wetland; Watershed; Ecosystem services; Geospatial analysis; Environmental science; Valuation (finance); Land cover; Land use; Ecosystem; Geography; Hydrology (agriculture); Water resource management; Environmental resource management; Remote sensing; Ecology; Business","score_opus":0.06517142696866007,"score_gpt":0.2132601095888735,"score_spread":0.14808868262021344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084177465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953616,0.0011193125,0.0004305304,0.0010154106,0.0001655716,0.00064203906,0.00037945807,0.000003782152,0.00088227366],"genre_scores_gemma":[0.99819225,0.00021358697,0.00006565509,0.00015684609,0.0000104201945,0.00019503395,0.00010239466,0.000008759716,0.0010550421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987772,0.000025113737,0.0007236175,0.00028438968,0.000025730003,0.00016395493],"domain_scores_gemma":[0.99943113,0.00007050065,0.00024254728,0.00020578792,0.0000074569643,0.0000425569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008891682,0.00013015633,0.0007064041,0.00015061337,0.00003733057,0.0000130008575,0.00017117908,0.000055097305,0.00009733674],"category_scores_gemma":[0.0000017884586,0.00010625032,0.00014788948,0.00006962612,0.000027175729,0.00010278783,0.00004506615,0.00003761027,0.000003809691],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089017194,0.000073467694,0.8643988,0.0002048107,0.023315052,5.527251e-7,0.00094523537,0.06640834,0.0000018513483,0.04384519,0.0006258066,0.00009187155],"study_design_scores_gemma":[0.008386077,0.00035150003,0.88734096,0.000012010226,0.02541496,0.0000015177509,0.0037148097,0.057317447,0.0005859221,0.0039001345,0.012223944,0.00075069565],"about_ca_topic_score_codex":0.2286834,"about_ca_topic_score_gemma":0.97557,"teacher_disagreement_score":0.7468866,"about_ca_system_score_codex":0.00015897398,"about_ca_system_score_gemma":0.0000203188,"threshold_uncertainty_score":0.77645284},"labels":[],"label_agreement":null},{"id":"W2084282730","doi":"10.1111/j.1744-7976.2006.00068.x","title":"Consumers' Food Choices with Voluntary Access to Genetic Modification Information","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Genome Canada","keywords":"Logit; Context (archaeology); Humanities; Product (mathematics); Welfare economics; Econometrics; Mathematics; Economics; Geography; Philosophy","score_opus":0.050816784458740646,"score_gpt":0.16041208937666257,"score_spread":0.10959530491792192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084282730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99096984,0.0003589503,0.0003387652,0.0025510304,0.0007836137,0.00043527395,0.00051464635,0.0000099737435,0.0040379325],"genre_scores_gemma":[0.9974806,0.00004465762,0.00085597154,0.00070045353,0.00038717513,0.000032287902,0.00017569635,0.000024750101,0.0002984331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754703,0.000014775324,0.0014522629,0.00035136894,0.000010263396,0.00062429556],"domain_scores_gemma":[0.9973974,0.000038875216,0.0013004171,0.00027329914,0.00008958899,0.0009004029],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030967974,0.00030674774,0.00057767617,0.000633188,0.00022363453,0.00044316336,0.0006254059,0.00013589076,0.0004855863],"category_scores_gemma":[0.00003087396,0.00031062687,0.0001635194,0.00016513164,0.000094745614,0.002671227,0.000027197446,0.00019371152,0.0004583771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000573441,0.000034517885,0.8100884,0.000052443593,0.00029704094,0.0000087993885,0.00096732524,0.12259217,0.000013805874,0.057809707,0.00631973,0.001758702],"study_design_scores_gemma":[0.0007758641,0.00037457742,0.9584186,0.000028252662,0.000030623785,0.00016021698,0.00038886906,0.0002612285,0.000050977946,0.0039036912,0.035105933,0.0005011577],"about_ca_topic_score_codex":0.07335705,"about_ca_topic_score_gemma":0.62274706,"teacher_disagreement_score":0.54939,"about_ca_system_score_codex":0.002417911,"about_ca_system_score_gemma":0.00024494634,"threshold_uncertainty_score":0.99993455},"labels":[],"label_agreement":null},{"id":"W2084583462","doi":"10.1002/atr.188","title":"Random regret minimization or random utility maximization: an exploratory analysis in the context of automobile fuel choice","year":2011,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Regret; Context (archaeology); Minification; Utility maximization; Maximization; Computer science; Exploratory analysis; Mathematical optimization; Operations research; Econometrics; Economics; Engineering; Mathematics; Mathematical economics; Machine learning; Data science","score_opus":0.08020964197159035,"score_gpt":0.2427933876032794,"score_spread":0.16258374563168904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084583462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96327263,0.00054909824,0.035405185,0.000048530666,0.0001632985,0.00025983833,0.000057084726,0.0000050948033,0.00023924411],"genre_scores_gemma":[0.9964114,0.0005718232,0.0027602974,0.00007848363,0.00003173442,0.00001583393,0.00010343542,0.000010091664,0.000016923059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982779,0.00007589216,0.0013016087,0.00017185467,0.00007156334,0.00010117629],"domain_scores_gemma":[0.9982633,0.00010211239,0.0013453605,0.00018965757,0.000059203347,0.000040395782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010710426,0.000108840526,0.00047358684,0.00029592108,0.0000366949,0.000010681041,0.00016665731,0.0000672659,0.0005411856],"category_scores_gemma":[0.00006730652,0.00009058614,0.00020369313,0.0004217353,0.00005364935,0.001059209,0.0000016163561,0.00010596168,0.000004077669],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025623988,0.00055686967,0.87914693,0.000054308883,0.00030518693,0.0000065959434,0.041951496,0.070928626,0.000040733612,0.0013754213,0.000020776397,0.0030506658],"study_design_scores_gemma":[0.006156862,0.00021009365,0.9827854,0.000014854993,0.0001558126,0.000001338725,0.0054853414,0.002976433,0.000116095136,0.0017377144,0.00024857174,0.00011149571],"about_ca_topic_score_codex":0.00005299209,"about_ca_topic_score_gemma":0.00082429894,"teacher_disagreement_score":0.10363846,"about_ca_system_score_codex":0.000056160137,"about_ca_system_score_gemma":0.000023249648,"threshold_uncertainty_score":0.5925603},"labels":[],"label_agreement":null},{"id":"W2085363364","doi":"10.5751/es-05267-180111","title":"Understanding Public Support for Indigenous Natural Resource Management in Northern Australia","year":2013,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Natural resource management; Indigenous; Environmental resource management; Natural resource; Geography; Resource management (computing); Environmental planning; Ecosystem management; Resource (disambiguation); Business; Agroforestry; Natural resource economics; Ecology; Ecosystem; Environmental science; Economics; Biology; Computer science","score_opus":0.15025964546416826,"score_gpt":0.23785295669546178,"score_spread":0.08759331123129352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085363364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448115,0.000072808805,0.0005233152,0.000570808,0.0001408239,0.0004155418,0.000008652446,0.0000095177475,0.0037774015],"genre_scores_gemma":[0.995807,0.00008099542,0.0006112665,0.0004469879,0.000024411465,0.00009806708,0.000040408708,0.000008161782,0.0028826888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928594,0.000006913162,0.0002360604,0.00022052824,0.000009508388,0.0002410554],"domain_scores_gemma":[0.9997638,0.000030372064,0.00009187918,0.00007714016,0.0000023412588,0.00003450235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035173906,0.00007378979,0.0001469627,0.00004083946,0.00013742397,0.000031122774,0.00006604197,0.00010406225,0.00030125672],"category_scores_gemma":[0.0000046573773,0.00008814368,0.00006176719,0.000038117396,0.00006498977,0.00016000954,0.000036997102,0.00008674367,0.00019674921],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015643625,0.0000313147,0.96739286,0.000014575196,0.000052427426,3.3330784e-7,0.0013649636,0.000025885985,0.0000011873958,0.0291951,0.0017607615,0.0001589987],"study_design_scores_gemma":[0.00062605663,0.000041924108,0.96527153,9.868756e-7,0.0000033357007,0.0000012387442,0.0020622886,0.00050876185,9.999516e-7,0.027852362,0.003518043,0.000112461705],"about_ca_topic_score_codex":0.00003793457,"about_ca_topic_score_gemma":0.0003682474,"teacher_disagreement_score":0.0021213472,"about_ca_system_score_codex":0.0003461459,"about_ca_system_score_gemma":0.0000040269406,"threshold_uncertainty_score":0.3594395},"labels":[],"label_agreement":null},{"id":"W2085514511","doi":"10.1002/hec.1656","title":"Using discrete choice experiments to value informal care tasks: exploring preference heterogeneity","year":2010,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Medical Research Council; Chief Scientist Office, Scottish Government Health and Social Care Directorate","keywords":"Contingent valuation; Complementarity (molecular biology); Valuation (finance); Revealed preference; Willingness to pay; Economics; Preference; Microeconomics; Value (mathematics); Value of time; Actuarial science; Preference elicitation; Discrete choice; Market value; Willingness to accept; Public economics; Opportunity cost; Compensation (psychology); Econometrics; Psychology; Social psychology; Computer science; Accounting","score_opus":0.4137531492140384,"score_gpt":0.3268568956353463,"score_spread":0.08689625357869207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085514511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99342465,0.00033828244,0.0011636703,0.00020268807,0.0015512034,0.00052507536,0.00021130125,0.0000407384,0.0025423625],"genre_scores_gemma":[0.99009067,0.0002561748,0.0077896286,0.0013135945,0.00026744744,0.00012839487,0.00006471595,0.000045754125,0.000043649277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997902,0.000013466959,0.00094381603,0.0005656183,0.000024223493,0.0005508833],"domain_scores_gemma":[0.99860793,0.000026557049,0.00045284713,0.0005314629,0.000009484403,0.00037172856],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039777506,0.00023921173,0.00043794815,0.00016711783,0.00029325514,0.00009841365,0.00029199471,0.00010980685,0.00018317095],"category_scores_gemma":[0.000034488992,0.0003235284,0.00009987405,0.000064960026,0.000043039247,0.00086496805,0.00018554223,0.00024407207,0.0007845737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027494638,0.0000659337,0.93909323,0.00012088324,0.000051434392,3.3878032e-7,0.00533472,0.018134462,0.00013906369,0.030871073,0.00006896711,0.006092385],"study_design_scores_gemma":[0.0014595577,0.00027229392,0.89527154,0.000042366933,0.000008000852,0.0000071134023,0.0012162526,0.021211624,0.0023887292,0.0009509891,0.07606079,0.0011107562],"about_ca_topic_score_codex":0.0013703211,"about_ca_topic_score_gemma":0.00074761856,"teacher_disagreement_score":0.075991824,"about_ca_system_score_codex":0.00057203695,"about_ca_system_score_gemma":0.000076236494,"threshold_uncertainty_score":0.99999344},"labels":[],"label_agreement":null},{"id":"W2085546022","doi":"10.1260/095830502320268232","title":"Environmental Impacts of Enhanced Private Property Rights","year":2002,"lang":"en","type":"article","venue":"Energy & Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Property rights; Developing country; Private property; Politics; Property (philosophy); Business; Economics; Political science; Economic growth; Market economy; Law","score_opus":0.03423576776515561,"score_gpt":0.16260179494466936,"score_spread":0.12836602717951376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085546022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733818,0.0016564847,0.0028767136,0.0001178164,0.00014477594,0.0001547827,0.0000771136,0.00001977309,0.021570725],"genre_scores_gemma":[0.9938488,0.0018546275,0.00082905416,0.00013586345,0.00006464211,0.000028527866,0.000039256793,0.000026058318,0.0031731674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839526,0.000021249132,0.00068951293,0.0004994703,0.00007425794,0.0003202408],"domain_scores_gemma":[0.99898994,0.000015501277,0.00039802957,0.00047188715,5.9438236e-7,0.00012402516],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016503983,0.00022968138,0.00036225014,0.000092553826,0.000092609924,0.000013222975,0.00020258706,0.00010712528,0.015813794],"category_scores_gemma":[0.0000040953314,0.00021031001,0.00014216886,0.000036572725,0.00015163141,0.00023458285,0.00007924359,0.000082570026,0.002481378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014447651,0.0061773374,0.61174285,0.000116816365,0.0012626107,0.00003214574,0.0043102643,0.025729211,0.10071168,0.16444293,0.0039664838,0.081363216],"study_design_scores_gemma":[0.0030027835,0.00066015776,0.60983026,0.00003406427,0.000043150532,0.000011494058,0.000075695825,0.008973338,0.12866953,0.020317595,0.22696707,0.0014148382],"about_ca_topic_score_codex":0.00019869002,"about_ca_topic_score_gemma":0.000007255938,"teacher_disagreement_score":0.22300059,"about_ca_system_score_codex":0.0002677407,"about_ca_system_score_gemma":0.0000012034072,"threshold_uncertainty_score":0.9982953},"labels":[],"label_agreement":null},{"id":"W2086384308","doi":"10.2135/cropsci2004.4900","title":"Efficiency of Spatial Analyses of Field Pea Variety Trials","year":2004,"lang":"en","type":"article","venue":"Crop Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Alberta Pulse Growers Commission","keywords":"Statistics; Replication (statistics); Smoothing; Field pea; Randomized block design; Block (permutation group theory); Field (mathematics); Mathematics; Biology; Sativum; Agronomy","score_opus":0.2623130356393994,"score_gpt":0.32392554240353916,"score_spread":0.06161250676413976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086384308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9298272,0.00021860717,0.06235878,0.00012419595,0.00020101303,0.00008567268,0.000019622721,0.000004098211,0.0071608075],"genre_scores_gemma":[0.9985272,0.000054315373,0.0012890388,0.00004653471,0.00002444212,0.0000022013567,0.0000012418001,0.0000028451138,0.00005216514],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894184,0.000008101133,0.0006410302,0.00023148066,0.00004975798,0.00012776333],"domain_scores_gemma":[0.9991857,0.000060684233,0.00048488364,0.00021624853,0.000015298516,0.000037205995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018486057,0.000058308815,0.0003093348,0.00013427169,0.000068846035,0.0000165294,0.00025453852,0.00003286528,0.00041009116],"category_scores_gemma":[0.0005837981,0.000058296544,0.000093613715,0.00023534932,0.0003550227,0.00019184736,0.00005383848,0.000035348578,0.00006681809],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006963676,0.00084685016,0.41070458,0.000100159115,0.000076287964,0.0000014235036,0.0032555857,0.05635948,0.16611463,0.3509394,0.000090487796,0.011441466],"study_design_scores_gemma":[0.0012609645,0.0004079503,0.47309935,0.00002519667,0.00002003559,0.0000016373868,0.00016350101,0.0037011756,0.49156636,0.029249666,0.00024821234,0.0002559534],"about_ca_topic_score_codex":0.0012107441,"about_ca_topic_score_gemma":0.000008687089,"teacher_disagreement_score":0.32545173,"about_ca_system_score_codex":0.00006789737,"about_ca_system_score_gemma":0.000051290037,"threshold_uncertainty_score":0.44902104},"labels":[],"label_agreement":null},{"id":"W2086498757","doi":"10.1890/080023","title":"Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales","year":2009,"lang":"en","type":"review","venue":"Frontiers in Ecology and the Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2328,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Nature Conservancy; World Wildlife Fund","keywords":"Ecosystem services; Biodiversity; Environmental resource management; Ecosystem valuation; Ecosystem; Ecosystem health; Ecosystem management; Valuation (finance); Business; Payment for ecosystem services; Environmental science; Ecology","score_opus":0.045792066349812366,"score_gpt":0.18893571917637714,"score_spread":0.14314365282656477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086498757","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062386878,0.93489975,0.00033189132,0.00057136395,0.00051772833,0.00092373404,0.00027884002,0.000011748149,0.00007806898],"genre_scores_gemma":[0.03731151,0.9616883,0.00033963873,0.0001433438,0.000044165863,0.000076631535,0.00025435304,0.000012363695,0.0001296983],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830663,0.00014260973,0.00070207054,0.0005937211,0.000028610082,0.00022636335],"domain_scores_gemma":[0.99919003,0.00006458792,0.00040239736,0.00028664057,0.0000016654511,0.000054665226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009817624,0.0002755678,0.0011490441,0.00013854663,0.00032022264,0.000022716104,0.00017513592,0.0003082601,0.000042479824],"category_scores_gemma":[0.000017357317,0.000249057,0.000111791436,0.00004435095,0.00021667893,0.00012869813,0.00016377811,0.00023448623,0.000102163496],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005610903,0.00015039052,0.9714191,0.0016309043,0.00029536916,0.000002611484,0.0005726631,0.0032925822,1.0901408e-8,0.0007202203,0.0020771306,0.019782908],"study_design_scores_gemma":[0.003488893,0.00009010674,0.0953877,0.0005485625,0.00038326858,0.000050151444,0.00044383216,0.074158765,2.0282624e-7,0.0072733113,0.81714636,0.0010288313],"about_ca_topic_score_codex":0.000047727655,"about_ca_topic_score_gemma":0.00037891458,"teacher_disagreement_score":0.8760314,"about_ca_system_score_codex":0.00040724775,"about_ca_system_score_gemma":0.0000063986618,"threshold_uncertainty_score":0.9999962},"labels":[],"label_agreement":null},{"id":"W2086647682","doi":"10.1186/1478-7954-6-6","title":"Rescaling quality of life values from discrete choice experiments for use as QALYs: a cautionary tale","year":2008,"lang":"en","type":"article","venue":"Population Health Metrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Quality-adjusted life year; Econometrics; Discrete choice; Multinomial distribution; Statistics; Bootstrapping (finance); Medicine; Biostatistics; Multinomial logistic regression; Valuation (finance); Ordinal data; Ranking (information retrieval); Quality of life (healthcare); Ordinal regression; Mathematics; Public health; Computer science; Cost effectiveness; Economics; Artificial intelligence","score_opus":0.448697625506472,"score_gpt":0.3800574347402931,"score_spread":0.06864019076617894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086647682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975863,0.0037037286,0.018817266,0.00028181655,0.00031068217,0.00046085165,0.0004454886,0.000024895684,0.00009227908],"genre_scores_gemma":[0.9855351,0.00078560796,0.011810921,0.00063654984,0.000120947385,0.00004836331,0.00087203307,0.000022489015,0.00016797475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99788404,0.000067224486,0.0013649184,0.00037929465,0.00008777006,0.00021672867],"domain_scores_gemma":[0.99803674,0.00044248026,0.0010730248,0.0002779698,0.000023965664,0.00014578756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009099586,0.0001263796,0.00047182592,0.00030158664,0.00025031136,0.000020436368,0.00010258724,0.00009667956,0.00012874452],"category_scores_gemma":[0.0012587089,0.00015927288,0.00012954335,0.0002919807,0.00003914755,0.0005544913,0.000034760506,0.000071448194,0.00006294298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003001358,0.00007956085,0.9931118,0.000033535263,0.00002792207,4.8144862e-8,0.0003850436,0.001015184,0.0000062887825,0.0046820734,0.00026964291,0.00035888978],"study_design_scores_gemma":[0.00076686835,0.000066482615,0.9806592,0.0000118571625,0.0000042376746,2.3578878e-7,0.00009061373,0.010618377,0.000036611527,0.006491662,0.0010979039,0.00015594994],"about_ca_topic_score_codex":0.021775072,"about_ca_topic_score_gemma":0.000043640623,"teacher_disagreement_score":0.021731433,"about_ca_system_score_codex":0.0004044335,"about_ca_system_score_gemma":0.000034962173,"threshold_uncertainty_score":0.984739},"labels":[],"label_agreement":null},{"id":"W2086669489","doi":"10.1111/j.1744-7976.2008.00122.x","title":"Using Flexible Taste Distributions to Value Collective Reputation for Environmentally Friendly Production Methods","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reputation; Taste; Production (economics); Welfare economics; Agricultural science; Mathematics; Forestry; Econometrics; Operations research; Geography; Economics; Microeconomics; Environmental science; Sociology; Chemistry; Food science","score_opus":0.14922132905141736,"score_gpt":0.2317597776814786,"score_spread":0.08253844863006124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086669489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801287,0.00031214004,0.013123756,0.001749024,0.0020482624,0.0007903742,0.000916363,0.000009678695,0.0009217072],"genre_scores_gemma":[0.96306145,0.00006685148,0.033945873,0.00022824932,0.0006613373,0.00006113932,0.00016135589,0.000042489854,0.0017712563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9972012,0.000042097774,0.0014441455,0.00060465455,0.000009046383,0.00069884874],"domain_scores_gemma":[0.9973358,0.000083118844,0.0011844522,0.0002629628,0.000073031486,0.0010606208],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088690093,0.0003187998,0.0007188502,0.00048211368,0.00068711856,0.000094432886,0.00033950605,0.0001593018,0.00026090723],"category_scores_gemma":[0.0002414191,0.00036774215,0.00034340893,0.00017673802,0.00014491176,0.0009672479,0.00002724724,0.00019638464,0.00010229334],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026686952,0.00019968946,0.09479692,0.000103730425,0.0013144036,0.000031218235,0.011669822,0.686399,0.002441467,0.18526976,0.014516833,0.0029903187],"study_design_scores_gemma":[0.0032951743,0.0022232267,0.8349552,0.00012538831,0.00023614644,0.0025971583,0.004819618,0.005322687,0.0050882977,0.049917575,0.088856064,0.0025634218],"about_ca_topic_score_codex":0.00876211,"about_ca_topic_score_gemma":0.037440076,"teacher_disagreement_score":0.7401583,"about_ca_system_score_codex":0.008251288,"about_ca_system_score_gemma":0.000480244,"threshold_uncertainty_score":0.99987745},"labels":[],"label_agreement":null},{"id":"W2087123027","doi":"10.1016/j.socscimed.2007.09.016","title":"Using qualitative methods to understand the determinants of patients’ willingness to pay for cataract surgery: A study in Tanzania","year":2007,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Sightsavers International","keywords":"Tanzania; Cataract surgery; Willingness to pay; Medicine; Qualitative research; Developing country; Eye care; Grounded theory; Optometry; Family medicine; Surgery; Socioeconomics; Economic growth; Sociology","score_opus":0.4096555767683761,"score_gpt":0.4546375370589915,"score_spread":0.04498196029061541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087123027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643861,0.000021780945,0.034113623,0.0002998847,0.00031890968,0.00067304727,0.000019780126,0.0000023415653,0.00016450668],"genre_scores_gemma":[0.9988227,0.0000017243372,0.0008184552,0.00024944296,0.00007271872,0.000010857375,0.0000016625288,0.000006792761,0.000015637557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987358,0.000049389022,0.00060472544,0.00027576665,0.00007267292,0.00026168482],"domain_scores_gemma":[0.99908453,0.00043148405,0.00027658563,0.00010726868,0.00003065702,0.00006948376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013050279,0.000080806196,0.00034948072,0.00019648047,0.00021072509,0.000010179567,0.00018360553,0.000027014647,0.000021668642],"category_scores_gemma":[0.00081414176,0.00006032682,0.000033787568,0.000610792,0.00023938378,0.0001451099,0.000036432364,0.00004644849,0.0000033451117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002893887,0.00007198066,0.85406214,0.000004417956,0.0000036388615,1.1913113e-7,0.13860103,0.000018475375,0.000047707716,0.0009522907,0.00001794857,0.0061912825],"study_design_scores_gemma":[0.00037696856,0.00015781973,0.9417309,0.000012589104,0.000005409528,5.916817e-8,0.053600553,0.00021767903,0.000088418514,0.0035983832,0.00011844069,0.00009273333],"about_ca_topic_score_codex":0.0010434804,"about_ca_topic_score_gemma":0.00041911996,"teacher_disagreement_score":0.087668784,"about_ca_system_score_codex":0.00041377792,"about_ca_system_score_gemma":0.000035084984,"threshold_uncertainty_score":0.4522992},"labels":[],"label_agreement":null},{"id":"W2087188690","doi":"10.1111/j.1744-7976.2010.01195.x","title":"Western Households’ Water Knowledge, Preferences, and Willingness to Pay","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Population; Willingness to pay; Business; Political science; Welfare economics; Geography; Sociology; Economics; Demography","score_opus":0.05724875325508369,"score_gpt":0.16761711295363568,"score_spread":0.110368359698552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087188690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912377,0.00039753737,0.000023899374,0.002386018,0.0031226412,0.00025906143,0.0002155971,0.000009203424,0.0023483192],"genre_scores_gemma":[0.9968261,0.00009076906,0.00031281618,0.0003723479,0.0010148154,0.000017500355,0.00004016237,0.00003983849,0.001285617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974073,0.000016408796,0.0012191739,0.00046557424,0.0000059989247,0.0008855532],"domain_scores_gemma":[0.99702597,0.000046975227,0.000519669,0.00028114356,0.000050948787,0.0020753113],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074475055,0.00034221166,0.0007244013,0.0002837592,0.00023336333,0.00023840762,0.00049370487,0.0002204893,0.0008101277],"category_scores_gemma":[0.00004666903,0.00027461312,0.00017540138,0.00007137375,0.00013401135,0.00091379,0.000054848744,0.0004542991,0.00070863654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018920922,0.000044004508,0.9551229,0.000044772565,0.00020129215,0.000009386326,0.006106666,0.001089557,0.00028633105,0.031952184,0.0013266224,0.003797359],"study_design_scores_gemma":[0.00057759235,0.00018731438,0.90136236,0.000024124485,0.00002852758,0.00031395486,0.00046212273,0.000028070832,0.00032804228,0.0045665368,0.09149478,0.0006265459],"about_ca_topic_score_codex":0.013161963,"about_ca_topic_score_gemma":0.5895908,"teacher_disagreement_score":0.57642883,"about_ca_system_score_codex":0.0008064522,"about_ca_system_score_gemma":0.00013340323,"threshold_uncertainty_score":0.9999706},"labels":[],"label_agreement":null},{"id":"W2088223223","doi":"10.3197/096327113x13528328798273","title":"Sovereign Citizens and Constrained Consumers: Why Sustainability Requires Limits on Choice","year":2013,"lang":"en","type":"article","venue":"Environmental Values","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sustainability; Sovereignty; Presumption; Context (archaeology); Business; Consumption (sociology); Action (physics); Resistance (ecology); Ecosystem services; Economics; Environmental resource management; Political science; Sociology; Ecology; Ecosystem; Law","score_opus":0.05279483237056125,"score_gpt":0.21327532394293325,"score_spread":0.16048049157237199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088223223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790087,0.00061914476,0.00010915474,0.00085902115,0.00012297557,0.0005533505,0.00012000379,0.00003883009,0.018568866],"genre_scores_gemma":[0.99669147,0.00034522705,0.00026594035,0.0011059371,0.00005781232,0.00007839224,0.000052299794,0.000030608328,0.0013723156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847984,0.00003691736,0.00048841734,0.00059642526,0.000055931578,0.00034248407],"domain_scores_gemma":[0.9991562,0.00015110605,0.00021384543,0.00032691334,0.0000026596665,0.00014931662],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002449803,0.000239859,0.00031894914,0.000085497835,0.0001800905,0.00008256263,0.00012991154,0.00011586734,0.005054399],"category_scores_gemma":[0.00009339322,0.00027736332,0.000087398155,0.000033448145,0.0005122186,0.00044492373,0.00007973736,0.000139428,0.0019352579],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013760367,0.00021696078,0.96331704,0.000025575551,0.00007313873,0.0000018877022,0.00037639955,0.000089799956,0.00040430707,0.030033248,0.0018146025,0.0036332796],"study_design_scores_gemma":[0.0009049747,0.00020325922,0.9072863,0.000009938878,0.000010484593,0.000005043342,0.000971407,0.00069672096,0.00051428337,0.08670009,0.0023193613,0.00037812235],"about_ca_topic_score_codex":0.00026243366,"about_ca_topic_score_gemma":0.0000030008189,"teacher_disagreement_score":0.056666844,"about_ca_system_score_codex":0.0004238348,"about_ca_system_score_gemma":0.0000061507058,"threshold_uncertainty_score":0.9999679},"labels":[],"label_agreement":null},{"id":"W2089304834","doi":"10.1002/hec.845","title":"Using stated preference and revealed preference modeling to evaluate prescribing decisions","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute on Alcohol Abuse and Alcoholism","keywords":"Preference; Revealed preference; Medical prescription; Perception; Estimation; Actuarial science; Time preference; Medicine; Econometrics; Psychology; Economics; Microeconomics; Nursing","score_opus":0.6093007403879975,"score_gpt":0.3239656517727161,"score_spread":0.28533508861528145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089304834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95661885,0.0010174159,0.038437534,0.00027676747,0.00031048467,0.0006624453,0.00010913207,0.000030669682,0.0025366917],"genre_scores_gemma":[0.97282,0.0023072031,0.02362624,0.00091620674,0.000029021348,0.000043820037,0.000019858488,0.000040618204,0.00019704328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997587,0.000061265084,0.0011013657,0.0007224147,0.000025820515,0.00050209864],"domain_scores_gemma":[0.9987633,0.00007523121,0.00038837112,0.00040802098,0.000017597018,0.00034746336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015544842,0.00021994355,0.000499664,0.00020269782,0.00029493403,0.00009472386,0.00015579964,0.000096043375,0.00021217755],"category_scores_gemma":[0.0002103566,0.00028777,0.00005063349,0.00009935501,0.000031026506,0.00040148798,0.00008916976,0.00015693926,0.00034443775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078549485,0.00018404852,0.1661767,0.00012478327,0.00010516518,0.0000011626107,0.004021882,0.63362795,0.00004972943,0.18459494,0.0003110833,0.010723998],"study_design_scores_gemma":[0.0012552676,0.00016949022,0.026261067,0.000101458056,0.000010889063,0.000013074012,0.0003547529,0.9155771,0.00003244813,0.051643565,0.0039391476,0.0006417491],"about_ca_topic_score_codex":0.00043045578,"about_ca_topic_score_gemma":0.00015285745,"teacher_disagreement_score":0.28194916,"about_ca_system_score_codex":0.0006432907,"about_ca_system_score_gemma":0.00012617264,"threshold_uncertainty_score":0.99995744},"labels":[],"label_agreement":null},{"id":"W2089373745","doi":"10.1007/s40547-014-0029-5","title":"An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research","year":2014,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Conjoint analysis; Key (lock); Management science; Data science; Engineering ethics; Sociology; Computer science; Engineering; Economics; Preference","score_opus":0.27954412464647427,"score_gpt":0.39828464411571873,"score_spread":0.11874051946924447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089373745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87327915,0.084733665,0.0023334543,0.009074642,0.0004081512,0.0014194329,0.00021974737,0.000025259193,0.028506491],"genre_scores_gemma":[0.94263756,0.056283142,0.00055100006,0.0000623982,0.000056712383,0.00014839134,0.000057164187,0.000008461095,0.00019518564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988987,0.00009869488,0.00044010268,0.00026508668,0.000046066863,0.0002513852],"domain_scores_gemma":[0.9994716,0.00010389053,0.000081808146,0.00019932247,0.000060389542,0.000082998886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004416874,0.00006932399,0.0002911621,0.001006467,0.00035948292,0.00002302507,0.000084386054,0.00006715979,0.000077094795],"category_scores_gemma":[0.000053595242,0.000075671975,0.000044298667,0.000946457,0.00019262463,0.00015431338,0.00013212425,0.0001662128,0.000023200582],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047459438,0.0006955069,0.45637512,0.0018099665,0.0004294372,4.3525432e-7,0.006721624,0.00011406763,0.00007690297,0.4660793,0.004645076,0.06300511],"study_design_scores_gemma":[0.0006455538,0.00020299731,0.8305241,0.0004498424,0.000048974383,0.000002357577,0.004362859,0.004951598,0.000012807406,0.02175921,0.13679928,0.00024043956],"about_ca_topic_score_codex":0.000077843266,"about_ca_topic_score_gemma":0.00012250747,"teacher_disagreement_score":0.44432008,"about_ca_system_score_codex":0.00013213017,"about_ca_system_score_gemma":0.000016863678,"threshold_uncertainty_score":0.30858135},"labels":[],"label_agreement":null},{"id":"W2089441538","doi":"10.1002/hec.1365","title":"Cost–benefit analysis involving addictive goods: contingent valuation to estimate willingness‐to‐pay for smoking cessation","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economic surplus; Contingent valuation; Willingness to pay; Economics; Consumption (sociology); Addiction; Rule of thumb; Valuation (finance); Microeconomics; Psychological intervention; Public economics; Actuarial science; Medicine; Welfare","score_opus":0.22525883119838924,"score_gpt":0.31829733554073714,"score_spread":0.0930385043423479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089441538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8492001,0.00034814992,0.14536802,0.001938275,0.0005866097,0.0015545595,0.0004305673,0.000051642306,0.00052206137],"genre_scores_gemma":[0.98386395,0.00052948284,0.011454604,0.0026611728,0.00020011823,0.0005526233,0.00044068176,0.00005295531,0.0002444337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973491,0.000021228505,0.001313797,0.0007661544,0.00003643944,0.00051329314],"domain_scores_gemma":[0.99828357,0.00012831176,0.0008813943,0.00036461,0.0000356472,0.00030647073],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014907226,0.00023820427,0.00070734584,0.0004783169,0.000506703,0.000073316995,0.0001901647,0.00011417943,0.0001404449],"category_scores_gemma":[0.000107483655,0.00030243606,0.00019921854,0.00031522388,0.000024886122,0.00041191804,0.000065968175,0.000108380555,0.0002726344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003091732,0.00006431021,0.69776,0.000028359447,0.00023171262,1.4758409e-7,0.0034352443,0.27108702,0.0000021619142,0.021177454,0.0002983342,0.005884335],"study_design_scores_gemma":[0.000861387,0.0001769022,0.8200511,0.000020468566,0.00005385002,0.0000014100734,0.00021216528,0.1616488,0.00005425787,0.0062345234,0.010269207,0.00041595148],"about_ca_topic_score_codex":0.0005426822,"about_ca_topic_score_gemma":0.000646369,"teacher_disagreement_score":0.13466382,"about_ca_system_score_codex":0.0018607969,"about_ca_system_score_gemma":0.000081075064,"threshold_uncertainty_score":0.9999428},"labels":[],"label_agreement":null},{"id":"W2089463486","doi":"10.1016/j.vaccine.2007.12.011","title":"The demand for a dengue vaccine: A contingent valuation survey in Metro Manila","year":2008,"lang":"en","type":"article","venue":"Vaccine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economy and Environment Program for Southeast Asia; International Development Research Centre","keywords":"Dengue vaccine; Willingness to pay; Contingent valuation; Dengue fever; Household income; Vaccination; Mass vaccination; Valuation (finance); Environmental health; Business; Economics; Dengue virus; Medicine; Virology; Finance; Geography; Microeconomics","score_opus":0.13825539844426427,"score_gpt":0.23981862274465074,"score_spread":0.10156322430038647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089463486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912232,0.0021548355,0.005042081,0.0004751046,0.00024274018,0.0005155887,0.000040872575,0.0000124308945,0.000293147],"genre_scores_gemma":[0.99775046,0.0007912585,0.000306183,0.00013537888,0.00008088452,0.00012878783,0.000073961084,0.000019677233,0.0007133823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988351,0.000036966736,0.00058952416,0.0002820158,0.000025960126,0.00023046765],"domain_scores_gemma":[0.9992126,0.0002611383,0.00025116536,0.000221316,0.00001593369,0.00003783053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021137048,0.00011403036,0.00025380478,0.000105788,0.00019588265,0.000025376961,0.00014122484,0.000059589336,0.00010616481],"category_scores_gemma":[0.000293978,0.00010690406,0.00006841951,0.00012525999,0.000005195882,0.00013463356,0.00003461494,0.000069510876,0.00019894257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038399827,0.000040369756,0.99433017,0.0000046077644,0.000022496679,4.2423355e-7,0.000111454785,0.00036333484,0.000010112276,0.003109763,0.0014943662,0.00047451162],"study_design_scores_gemma":[0.0018354466,0.000053110998,0.9822561,0.0000030804347,0.0000050116987,0.0000017020403,0.000034161523,0.0072715315,0.000082311904,0.004128774,0.004199459,0.00012929949],"about_ca_topic_score_codex":0.0004116447,"about_ca_topic_score_gemma":0.002547372,"teacher_disagreement_score":0.012074049,"about_ca_system_score_codex":0.0001804383,"about_ca_system_score_gemma":0.000010467844,"threshold_uncertainty_score":0.4359421},"labels":[],"label_agreement":null},{"id":"W2090532686","doi":"10.1080/13658810412331280185","title":"A method for examining the spatial dimension of multi-criteria weight sensitivity","year":2004,"lang":"en","type":"article","venue":"International Journal of Geographical Information Systems","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multiple-criteria decision analysis; Attractiveness; Dimension (graph theory); Stakeholder; Computer science; Robustness (evolution); Geographic information system; Spatial analysis; Sensitivity (control systems); Data mining; Management science; Operations research; Geography; Mathematics; Statistics; Cartography; Engineering","score_opus":0.07271125303533933,"score_gpt":0.27558894977391446,"score_spread":0.20287769673857514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090532686","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28416565,0.00014350604,0.71326077,0.0005562255,0.0013763723,0.00018368188,0.00010624352,0.0000044193384,0.00020310922],"genre_scores_gemma":[0.9912944,0.00005644919,0.008259136,0.00016040735,0.00018338086,0.000008767978,0.000025001846,0.00000526632,0.0000072104094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984739,0.00003629366,0.0012136835,0.00007273282,0.00011103499,0.00009236896],"domain_scores_gemma":[0.99812627,0.0001423802,0.0014153039,0.00008963012,0.00018572225,0.000040702493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021623767,0.00008351442,0.0002525734,0.0002884632,0.000051968087,0.00007190435,0.00016578911,0.0000715025,0.000020798452],"category_scores_gemma":[0.00012212555,0.0000685116,0.00016092202,0.000068260364,0.00004975665,0.00076361,0.00003574491,0.000102711485,0.00001989536],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009003985,0.0008078821,0.34302136,0.0002269199,0.0022171196,0.000009176889,0.009453771,0.19214733,0.0035494145,0.41187933,0.00077477354,0.03501254],"study_design_scores_gemma":[0.011172345,0.0007337766,0.6541576,0.00036682055,0.00007189664,0.00047192382,0.0019464848,0.28412706,0.002021772,0.010935708,0.03343407,0.0005605477],"about_ca_topic_score_codex":0.00039451607,"about_ca_topic_score_gemma":0.000009079226,"teacher_disagreement_score":0.7071287,"about_ca_system_score_codex":0.00009829293,"about_ca_system_score_gemma":0.00001665339,"threshold_uncertainty_score":0.2793822},"labels":[],"label_agreement":null},{"id":"W2091391180","doi":"10.1007/s00267-015-0458-4","title":"Recreational Trails Reduce the Density of Ground-Dwelling Birds in Protected Areas","year":2015,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lake Simcoe Region Conservation Authority","funders":"","keywords":"Recreation; Wildlife; Biodiversity; Geography; Habitat; Disturbance (geology); Forest management; Protected area; Environmental resource management; Wildlife conservation; Ecology; Agroforestry; Forestry; Environmental science; Biology","score_opus":0.09912560847472152,"score_gpt":0.20742041479531761,"score_spread":0.1082948063205961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091391180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864563,0.00031353536,0.001320203,0.000305949,0.00012255172,0.00056827115,0.000020806508,0.000010630836,0.010881774],"genre_scores_gemma":[0.9974139,0.00016641094,0.0010686953,0.00008887377,0.00003254613,0.0000815734,0.000042983866,0.000015364187,0.0010897081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989711,0.00002852443,0.00046993184,0.00029330628,0.00007177622,0.00016532907],"domain_scores_gemma":[0.99946356,0.000015880321,0.00021994785,0.00025043124,0.0000013421376,0.000048811427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006918791,0.00011772695,0.00018181688,0.00009877594,0.00005026927,0.00001683616,0.00017050435,0.00004440518,0.00034321603],"category_scores_gemma":[0.000010157303,0.00011952088,0.000049930804,0.000098317876,0.000099036864,0.00016291376,0.00010305855,0.00008694792,0.00044683885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007366374,0.0005172442,0.9399996,0.000030571588,0.00011830367,0.0000062060094,0.0015361587,0.010421533,0.00025403107,0.040784966,0.00035991872,0.0058978437],"study_design_scores_gemma":[0.00078948715,0.000050246956,0.98035264,0.000014170822,0.00000859026,0.0000021254882,0.0009584778,0.0021355664,0.00033492188,0.012783514,0.002417006,0.00015322478],"about_ca_topic_score_codex":0.0001882042,"about_ca_topic_score_gemma":0.000010641451,"teacher_disagreement_score":0.040353112,"about_ca_system_score_codex":0.00046228655,"about_ca_system_score_gemma":0.0000035919234,"threshold_uncertainty_score":0.5743359},"labels":[],"label_agreement":null},{"id":"W2091709530","doi":"10.1016/j.ecolind.2011.12.020","title":"Is a picture worth a thousand species? Evaluating human perception of biodiversity intactness using images of cumulative effects","year":2012,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Biodiversity Monitoring Institute","keywords":"Biodiversity; Perception; Cumulative effects; Geography; Ecology; Biology","score_opus":0.15779928265827461,"score_gpt":0.3010692896924764,"score_spread":0.1432700070342018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091709530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974013,0.0001171397,0.00037878103,0.000022382175,0.00012843171,0.00024346891,0.00007847974,0.000009942599,0.0016200568],"genre_scores_gemma":[0.9988142,0.000019820967,0.0009551818,0.000072826595,0.00004952162,0.0000053027497,0.000020046251,0.0000059174113,0.00005717929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990068,0.000053456657,0.00045422107,0.00022529646,0.000050304632,0.00020991673],"domain_scores_gemma":[0.9990018,0.00008682961,0.0006965303,0.00013772247,0.000008186459,0.00006893182],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007083426,0.0001228268,0.000375933,0.00018688444,0.00012851758,0.000008661735,0.00012120691,0.00015121495,0.0027409818],"category_scores_gemma":[0.00008000791,0.00012140999,0.000120746314,0.00014240122,0.00018813756,0.0002382492,0.00010533222,0.0001206121,0.000088715984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007837271,0.00019603304,0.99561745,0.00003130083,0.000040296563,1.8481435e-7,0.0014244866,0.00009192971,0.0014872906,0.0008823425,0.00006235553,0.00015848696],"study_design_scores_gemma":[0.00038409652,0.00016210304,0.99581385,0.000010418121,0.000025140855,5.2538115e-7,0.0004607472,0.00023820918,0.0019301851,0.0008063539,0.000038849495,0.00012949968],"about_ca_topic_score_codex":0.000044219192,"about_ca_topic_score_gemma":0.000001194204,"teacher_disagreement_score":0.0026522658,"about_ca_system_score_codex":0.00021874663,"about_ca_system_score_gemma":0.000006099793,"threshold_uncertainty_score":0.9981707},"labels":[],"label_agreement":null},{"id":"W2091831555","doi":"10.1016/j.jenvman.2003.09.001","title":"Valuing freshwater salmon habitat on the west coast of Canada","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Simon Fraser University","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta","keywords":"Habitat; Wildlife; Fishery; Ecosystem services; Recreation; Ecosystem; Geography; Population; Drainage basin; Habitat destruction; Ecosystem health; Environmental resource management; Environmental science; Ecology; Biology","score_opus":0.03081874557754732,"score_gpt":0.1633947011262282,"score_spread":0.13257595554868087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091831555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800995,0.00036976213,0.0002057022,0.00045053757,0.00035790593,0.00014478658,0.000045782137,0.0000012045303,0.01832481],"genre_scores_gemma":[0.99794,0.00023341371,0.0004303381,0.00040882695,0.00002813239,0.000003978178,0.0000023737143,0.000014689713,0.0009382393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891686,0.00002900998,0.00064861483,0.00013705945,0.00010216355,0.0001662696],"domain_scores_gemma":[0.9991266,0.00004052173,0.0005867066,0.00019146781,0.0000015671889,0.000053126583],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069526257,0.000116106115,0.0002195637,0.00007475902,0.00007410865,0.000014368509,0.00017738665,0.000025208263,0.0019860049],"category_scores_gemma":[0.0000123875725,0.00009677843,0.00009721286,0.000032704254,0.00005171226,0.00010951563,0.000044511813,0.00010830356,0.00009120675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080089114,0.0008439226,0.8251243,0.00006565083,0.0007268557,0.00005712077,0.0006245511,0.01523072,0.00090153376,0.1345198,0.020131359,0.0016940825],"study_design_scores_gemma":[0.0011520945,0.00030325522,0.925672,0.00004875017,0.000039779832,0.000018217763,0.0022849382,0.00017411973,0.0019525544,0.0075781434,0.060502168,0.00027399958],"about_ca_topic_score_codex":0.0007621906,"about_ca_topic_score_gemma":0.002955615,"teacher_disagreement_score":0.12694167,"about_ca_system_score_codex":0.0004685359,"about_ca_system_score_gemma":0.0000070076976,"threshold_uncertainty_score":0.99892634},"labels":[],"label_agreement":null},{"id":"W2091907113","doi":"10.1016/j.cropro.2013.05.019","title":"Bird damage to select fruit crops: The cost of damage and the benefits of control in five states","year":2013,"lang":"en","type":"article","venue":"Crop Protection","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity Western University; Western University","funders":"","keywords":"Hectare; Biology; Crop; Profitability index; Pruning; Yield (engineering); Agroforestry; Agricultural science; Toxicology; Agronomy; Agriculture; Business; Ecology","score_opus":0.03807926791243114,"score_gpt":0.1964455620031581,"score_spread":0.15836629409072697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091907113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99416554,0.0002599424,0.0024720768,0.0012412586,0.000055977347,0.0015194882,0.000028474504,0.000008856001,0.00024836723],"genre_scores_gemma":[0.99919254,0.0001033139,0.000051819003,0.00018022029,0.000017886781,0.0002862077,0.0000014714689,0.000014147481,0.00015241426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931955,0.000038084854,0.00036159402,0.00015500447,0.000020460919,0.000105279134],"domain_scores_gemma":[0.99950624,0.000056014902,0.00024063746,0.00016176446,0.000016162934,0.000019167639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006104938,0.000072991745,0.00020114536,0.00007890942,0.00006654164,0.000029022875,0.00009265951,0.000042830732,0.00012666333],"category_scores_gemma":[0.000068531845,0.00005388709,0.000032371907,0.000115361945,0.0001268253,0.00014945059,0.00003270199,0.00008925855,0.00012005075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000528949,0.00026231314,0.81688005,0.00018066175,0.00019618074,2.834952e-7,0.012932018,0.08809782,0.0042369515,0.038008593,0.0008447511,0.03783143],"study_design_scores_gemma":[0.0014969124,0.00011273606,0.9626498,0.000016769343,0.0000055441274,5.8283257e-7,0.00035176167,0.027457923,0.000843777,0.0066701774,0.00031002576,0.00008399561],"about_ca_topic_score_codex":0.0075862985,"about_ca_topic_score_gemma":0.0004945856,"teacher_disagreement_score":0.14576975,"about_ca_system_score_codex":0.0000557534,"about_ca_system_score_gemma":0.0000042577085,"threshold_uncertainty_score":0.99902225},"labels":[],"label_agreement":null},{"id":"W2092157682","doi":"10.1300/j073v10n02_01","title":"Cross-Cultural Tourist Behavior:","year":2001,"lang":"en","type":"article","venue":"Journal of Travel & Tourism Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tourism; Cross-cultural; Business; Consumer behaviour; Advertising; Marketing; Economic geography; Psychology; Sociology; Geography","score_opus":0.06673079810298406,"score_gpt":0.2622766993904669,"score_spread":0.19554590128748284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092157682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96302927,0.0010292091,0.00064463104,0.0003706537,0.0006461525,0.00007692461,0.000012840269,0.0000073846213,0.03418291],"genre_scores_gemma":[0.99272114,0.0006375006,0.0018048973,0.00013199738,0.00071206095,0.000003772661,0.000004110675,0.00002299722,0.003961552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829173,0.000036232443,0.0011270733,0.00019638531,0.0000747712,0.00027378314],"domain_scores_gemma":[0.99850434,0.00007955426,0.0010971976,0.00014792306,0.00004660717,0.00012436081],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026548528,0.00014886675,0.00036952822,0.00017167258,0.00014511902,0.00018292636,0.00025448375,0.00010536186,0.0022215927],"category_scores_gemma":[0.0002341903,0.00015610812,0.00025111172,0.00009311256,0.00007379864,0.0007171111,0.000043154025,0.0002799974,0.00017362894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074949174,0.0001145711,0.98924077,0.000010393606,0.000046985046,0.00008355947,0.00020393792,0.00015945673,0.00025225777,0.0004171547,0.002534449,0.0068615205],"study_design_scores_gemma":[0.00079724117,0.000063622836,0.98406357,0.00002511902,0.000017562968,0.00025493826,0.00021368254,0.0002523623,0.00009972157,0.0006989733,0.013319422,0.00019376175],"about_ca_topic_score_codex":0.000048372185,"about_ca_topic_score_gemma":0.0000027953656,"teacher_disagreement_score":0.030221358,"about_ca_system_score_codex":0.00022954904,"about_ca_system_score_gemma":0.000012733558,"threshold_uncertainty_score":0.9986905},"labels":[],"label_agreement":null},{"id":"W2092395892","doi":"10.1108/10610421211246711","title":"Perceived variance and preference for sequences of outcomes","year":2012,"lang":"en","type":"article","venue":"Journal of Product & Brand Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Brock University","funders":"","keywords":"Preference; Revealed preference; Variance (accounting); Sequence (biology); Receipt; Econometrics; Value (mathematics); Economics; Perception; Contrast (vision); Variable (mathematics); Affect (linguistics); Microeconomics; Psychology; Computer science; Statistics; Mathematics; Artificial intelligence","score_opus":0.14356513184777447,"score_gpt":0.241805564018229,"score_spread":0.09824043217045453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092395892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98943305,0.0029145484,0.0044139326,0.00064165634,0.0004125023,0.00025316986,0.000016460855,0.000002231072,0.0019124758],"genre_scores_gemma":[0.99018294,0.0010210478,0.007908552,0.00007021522,0.00008958193,0.000007959566,0.0000014310971,0.000005865654,0.0007124352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992768,0.00000768864,0.0004613477,0.00010864444,0.000028198405,0.00011730434],"domain_scores_gemma":[0.9993327,0.000020683428,0.0004933392,0.00010142979,0.000012150635,0.00003964777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000811923,0.000069135,0.00024933644,0.000080598234,0.000032547527,0.000013095529,0.00009083386,0.000016773092,0.000086753134],"category_scores_gemma":[0.000026794072,0.000062825806,0.000059786842,0.000025958185,0.000034762255,0.00036843738,0.000028418974,0.000036225865,0.0000092630935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072751034,0.00027964168,0.90172,0.0003444398,0.000335638,5.1594384e-7,0.0015422693,0.00027018093,0.0006495184,0.08071284,0.0010002886,0.013071907],"study_design_scores_gemma":[0.0007839964,0.000081752936,0.9834082,0.00001990822,0.000034337907,0.000003712276,0.00016646984,0.000034175893,0.00029571724,0.008307263,0.0067758393,0.00008861825],"about_ca_topic_score_codex":0.0000057150523,"about_ca_topic_score_gemma":6.589141e-7,"teacher_disagreement_score":0.0816882,"about_ca_system_score_codex":0.000037494938,"about_ca_system_score_gemma":0.0000030538538,"threshold_uncertainty_score":0.2561962},"labels":[],"label_agreement":null},{"id":"W2092794044","doi":"10.1006/jbin.2002.1032","title":"Use of an Interactive Tool to Assess Patients' Willingness-to-Pay","year":2001,"lang":"en","type":"article","venue":"Journal of Biomedical Informatics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Willingness to pay; Comprehension; Preference; Population; Reading (process); Computer science; Health care; Medicine; Actuarial science; Environmental health; Business; Statistics","score_opus":0.11372372657687993,"score_gpt":0.2681701761205187,"score_spread":0.15444644954363876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092794044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95201415,0.000005364276,0.046749808,0.00025740307,0.00048731017,0.0001111034,0.000054730142,0.0000032159294,0.0003169268],"genre_scores_gemma":[0.9763789,0.00005301837,0.022397822,0.00095997716,0.00011406487,0.0000020049652,0.000018369801,0.000009193905,0.00006662691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814194,0.0000097552365,0.0015387151,0.000061782855,0.000099918696,0.00014789069],"domain_scores_gemma":[0.9985472,0.000068205576,0.0009564301,0.00014219093,0.000059777412,0.00022619327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005982228,0.000091806316,0.00033545037,0.0002827229,0.000028905408,0.000048825015,0.00019523519,0.000073405216,0.00026899428],"category_scores_gemma":[0.00031863936,0.00007808261,0.000082671715,0.00017153184,0.000041350795,0.0012909921,0.000059543298,0.0001472673,0.00019234729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036117987,0.0017822467,0.8649299,0.00010772243,0.00028026913,0.000008339733,0.011076586,0.005511597,0.000103248785,0.002729902,0.0066958168,0.10641316],"study_design_scores_gemma":[0.0014415821,0.002065683,0.8077906,0.00011752122,0.000022202308,0.000027393704,0.000910639,0.015439113,0.00023646426,0.0015525561,0.1700454,0.00035087916],"about_ca_topic_score_codex":0.000014236817,"about_ca_topic_score_gemma":0.0000012475884,"teacher_disagreement_score":0.16334958,"about_ca_system_score_codex":0.0001634041,"about_ca_system_score_gemma":0.000019970215,"threshold_uncertainty_score":0.31841165},"labels":[],"label_agreement":null},{"id":"W2093036296","doi":"10.1007/s10640-006-9028-9","title":"The Production of Eco-Labels","year":2006,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy; University of Calgary","funders":"","keywords":"Production (economics); Scale (ratio); Economics; Business; Demand side; Consumer demand; Marketing; Industrial organization; Microeconomics; Environmental economics","score_opus":0.019473457110333235,"score_gpt":0.1497644056034518,"score_spread":0.13029094849311856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093036296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879903,0.0021927138,0.000019944255,0.00053521665,0.0001933052,0.00014953119,0.000041779138,0.000008709301,0.008868502],"genre_scores_gemma":[0.9927675,0.0012474325,0.00012060185,0.00005138345,0.00013470887,0.000013147154,0.000027023825,0.00001760137,0.0056205797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901736,0.000010690838,0.000497068,0.00029000695,0.000016143127,0.00016870939],"domain_scores_gemma":[0.99940115,0.000037547292,0.00030757228,0.00021901693,6.114326e-7,0.000034123208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003701906,0.00011535776,0.00018213491,0.00004003414,0.00021496564,0.000027528264,0.000106470536,0.00006681551,0.00013476486],"category_scores_gemma":[0.000006521005,0.00010882306,0.000060997987,0.000016539163,0.0002798023,0.00012630221,0.00007289965,0.00007740569,0.00023251554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004040943,0.00023425021,0.8760924,0.00001809551,0.00008069112,4.5871954e-7,0.00040072392,0.0032474513,0.0012711887,0.10757857,0.002506302,0.008529462],"study_design_scores_gemma":[0.00040644684,0.00006749326,0.72995627,0.0000050086182,0.000009200378,0.0000105778945,0.0003715411,0.00080128165,0.0016232785,0.022841843,0.2436414,0.00026563762],"about_ca_topic_score_codex":0.000060067716,"about_ca_topic_score_gemma":0.000011866864,"teacher_disagreement_score":0.2411351,"about_ca_system_score_codex":0.0001094707,"about_ca_system_score_gemma":0.000002217998,"threshold_uncertainty_score":0.44376755},"labels":[],"label_agreement":null},{"id":"W2093173085","doi":"10.1016/j.reseneeco.2007.09.002","title":"Playing monopoly in the creek: Imperfect competition, development, and in-stream flows","year":2007,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Incentive; Monopoly; Competition (biology); Public good; Economics; Frontier; Imperfect competition; Riparian zone; Wetland; Imperfect; Natural resource economics; Upstream (networking); Microeconomics; Business; Habitat; Ecology; Geography","score_opus":0.03572721097069846,"score_gpt":0.1900309996369984,"score_spread":0.15430378866629996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093173085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97483367,0.0010897535,0.0002298132,0.00012216263,0.000039171715,0.000049866667,0.000007477802,0.0000069587923,0.023621134],"genre_scores_gemma":[0.99796987,0.0008809063,0.0003869831,0.00046744064,0.000055614597,0.000013180348,0.000031742693,0.0000150108235,0.00017927663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988816,0.000013800692,0.00052801974,0.00031125676,0.000011323424,0.00025403462],"domain_scores_gemma":[0.9995715,0.00009614562,0.000132953,0.00014612914,0.0000014651931,0.000051833966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009685998,0.00012470398,0.00022780545,0.00017359415,0.00012719451,0.000076143726,0.000105548475,0.000092264265,0.000038018894],"category_scores_gemma":[0.000009718129,0.00014324341,0.000026435617,0.00006300655,0.00005145957,0.00015983831,0.000051362473,0.000099893405,0.000017924036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001841227,0.0000424716,0.95023715,0.000007953997,0.000013474714,0.000003062716,0.0011601306,0.0008670298,0.000005703381,0.034545075,0.000030401407,0.013069117],"study_design_scores_gemma":[0.0008329353,0.000027774922,0.8772397,0.000014367677,0.0000024943051,0.000015778533,0.0012357367,0.0066255275,0.000051728097,0.0031484568,0.11052244,0.00028306706],"about_ca_topic_score_codex":0.0008907586,"about_ca_topic_score_gemma":0.0069118124,"teacher_disagreement_score":0.110492036,"about_ca_system_score_codex":0.0001386333,"about_ca_system_score_gemma":0.0000070084075,"threshold_uncertainty_score":0.5841297},"labels":[],"label_agreement":null},{"id":"W2093750053","doi":"10.1016/s0160-7383(99)00064-x","title":"Tourism impact modeling for resource extraction regions","year":2000,"lang":"en","type":"article","venue":"Annals of Tourism Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tourism; Welfare economics; Geography; Political science; Environmental policy; Humanities; Economy; Forestry; Economics; Art; Environmental planning; Archaeology","score_opus":0.5112674655166953,"score_gpt":0.41709351256968197,"score_spread":0.09417395294701336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093750053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95518255,0.0014067662,0.0032453726,0.0035035992,0.000043660602,0.00038542997,0.00009925548,0.00001641767,0.036116946],"genre_scores_gemma":[0.9897198,0.0014528164,0.0007028205,0.00010469094,0.0002585913,0.000059846487,0.000043088952,0.00002869601,0.0076296297],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985481,0.000044044496,0.0005340777,0.00034855574,0.00008256921,0.00044267322],"domain_scores_gemma":[0.99919987,0.0001488364,0.0001275774,0.0003638406,0.000045871995,0.00011401364],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002503665,0.000106303196,0.00026125202,0.0002915244,0.00020984492,0.000043089094,0.00022266652,0.0001299351,0.0019486566],"category_scores_gemma":[0.00011325884,0.00012158903,0.00021944367,0.00014995369,0.00007287245,0.00031685844,0.00003304852,0.00022389869,0.00047135778],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011796004,0.0015368441,0.02318105,0.00021968264,0.00058411993,0.000019079049,0.0026289683,0.18537028,0.0006813383,0.0778549,0.60931927,0.09742485],"study_design_scores_gemma":[0.0015867015,0.000986026,0.043239184,0.00008035825,0.000010673111,0.0000106392645,0.00052554085,0.2885776,0.0013842483,0.50796014,0.15498896,0.0006499493],"about_ca_topic_score_codex":0.0009042877,"about_ca_topic_score_gemma":0.0000071842055,"teacher_disagreement_score":0.45433033,"about_ca_system_score_codex":0.00007965727,"about_ca_system_score_gemma":0.000020233227,"threshold_uncertainty_score":0.9989637},"labels":[],"label_agreement":null},{"id":"W2094037547","doi":"10.1111/j.0008-4085.2006.00343.x","title":"A test of the Hotelling rule using old‐growth timber data","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Stumpage; Economics; Common value auction; Scarcity; Resource (disambiguation); Microeconomics; Econometrics; Construct (python library); Renewable resource; Contrast (vision); Natural resource economics; Environmental economics; Renewable energy; Computer science; Ecology; Agricultural economics","score_opus":0.30324651322972757,"score_gpt":0.17959260046348546,"score_spread":0.1236539127662421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094037547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932024,0.0006247638,0.00027346582,0.0008085774,0.0010626805,0.00019156285,0.0011135127,0.0000028589416,0.002720216],"genre_scores_gemma":[0.9969093,0.000087617096,0.0014705514,0.00032970085,0.0005134116,0.0000026129544,0.00003716414,0.000053169915,0.0005964442],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997491,0.000024538198,0.0015385407,0.0004150232,0.000002286951,0.00052861305],"domain_scores_gemma":[0.99688816,0.000120858225,0.0016735904,0.0008104204,0.000065553744,0.00044141235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010663633,0.00023706352,0.00064232835,0.00040425113,0.00018296417,0.000087802786,0.0011283768,0.00016912821,0.0004608054],"category_scores_gemma":[0.00025463954,0.00027437462,0.00022559857,0.00013057442,0.00022932923,0.00065909256,0.00007862768,0.00026643238,0.000052262203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010127987,0.000034558136,0.6803874,0.000036331625,0.000103053935,0.000011092415,0.0002536071,0.03934248,0.000050057657,0.27879623,0.00083347334,0.00014159684],"study_design_scores_gemma":[0.0019611397,0.00021274148,0.1870583,0.00021248628,0.0001297113,0.00051150133,0.0004073023,0.07672116,0.00096255925,0.714435,0.016186984,0.0012011317],"about_ca_topic_score_codex":0.2577491,"about_ca_topic_score_gemma":0.7156932,"teacher_disagreement_score":0.4933291,"about_ca_system_score_codex":0.0016064829,"about_ca_system_score_gemma":0.0005530302,"threshold_uncertainty_score":0.99997085},"labels":[],"label_agreement":null},{"id":"W2094067471","doi":"10.1007/s11116-011-9326-0","title":"A dichotomous choice survey for quantifying option and non-use values of bus services in Korea","year":2011,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GRi Simulations (Canada)","funders":"Seoul National University","keywords":"Willingness to pay; Valuation (finance); TRIPS architecture; Contingent valuation; Econometrics; Value (mathematics); Actuarial science; Service (business); Economics; Consumption (sociology); Operations research; Business; Microeconomics; Marketing; Mathematics; Statistics; Transport engineering; Engineering","score_opus":0.23334230409261045,"score_gpt":0.2565670399717914,"score_spread":0.023224735879180974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094067471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947994,0.00013440811,0.0044304943,0.0000048959387,0.000060856848,0.00025984604,0.00020392523,0.0000065487598,0.000099630844],"genre_scores_gemma":[0.99795556,0.00018686311,0.0014541834,0.000017048498,0.000007619217,0.000030275964,0.0003122552,0.000011229626,0.000024962284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999304,0.0000071357895,0.0003989647,0.00018774491,0.000014016771,0.00008811463],"domain_scores_gemma":[0.9996289,0.00005028908,0.00021275214,0.00007862742,0.000009118994,0.000020320056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003931867,0.00006900421,0.00017056565,0.00009893715,0.000023792803,0.0000089444875,0.000041678384,0.00005501365,0.000027798013],"category_scores_gemma":[0.000008374722,0.00008661543,0.000028343557,0.000056880664,0.000021542259,0.00039691135,0.0000014594768,0.000028443992,0.0000076030638],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003782599,0.00004507831,0.99445015,0.000077313634,0.000009446168,1.1032128e-7,0.0030167666,0.00016986523,0.00010397362,0.001813679,8.546431e-7,0.0002749535],"study_design_scores_gemma":[0.0005995932,0.00005077482,0.9924988,0.000018027962,0.000006787212,7.7411514e-8,0.00012197022,0.0038700225,0.00036275614,0.0023712837,0.000012333705,0.00008757172],"about_ca_topic_score_codex":0.009397945,"about_ca_topic_score_gemma":0.006933782,"teacher_disagreement_score":0.0037001574,"about_ca_system_score_codex":0.000022811555,"about_ca_system_score_gemma":0.000002673193,"threshold_uncertainty_score":0.9971986},"labels":[],"label_agreement":null},{"id":"W2094757861","doi":"10.1177/1541931213571420","title":"A Framework for Modelling and Analysing Variability in Visual Occlusion Experiments","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Occlusion; Sampling (signal processing); Computer science; Statistics; Hierarchy; Artificial intelligence; Mathematics; Computer vision; Medicine","score_opus":0.06299425360250634,"score_gpt":0.2545247773646725,"score_spread":0.19153052376216617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094757861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976644,0.00015113942,0.0015558609,0.000057213012,0.00005468245,0.00031069358,0.000018725414,0.0000075470675,0.0001797516],"genre_scores_gemma":[0.99125427,0.000080850914,0.008523736,0.000045274166,0.00003765122,0.00001942683,0.0000029804673,0.000015736336,0.00002010111],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998941,0.0000041951494,0.0005019236,0.00033420985,0.000022910224,0.00019577619],"domain_scores_gemma":[0.9993866,0.00009380263,0.000397339,0.00005690423,0.000020969204,0.000044374043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008604631,0.00013855529,0.00029758742,0.000037423008,0.00028585273,0.00007545891,0.000110325615,0.00012214234,0.000012317626],"category_scores_gemma":[0.00007193846,0.0001306908,0.00012288519,0.000057695357,0.00009712324,0.00041700996,0.00018332868,0.0001247584,8.512227e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006924913,0.000049091497,0.97099197,0.00007238009,0.00003353764,2.3578253e-9,0.00921368,0.00067377463,0.00075919967,0.01810006,0.000021715621,0.000077660035],"study_design_scores_gemma":[0.00073288905,0.0000832135,0.56523985,0.0001509216,0.000026062105,4.755124e-7,0.016175631,0.21483614,0.0026781592,0.1995589,0.00005034689,0.0004674034],"about_ca_topic_score_codex":0.00035544846,"about_ca_topic_score_gemma":0.0000016423699,"teacher_disagreement_score":0.40575212,"about_ca_system_score_codex":0.00013044759,"about_ca_system_score_gemma":0.000003341916,"threshold_uncertainty_score":0.5329416},"labels":[],"label_agreement":null},{"id":"W2095089115","doi":"10.1162/rest.91.4.806","title":"Procedural Invariance Testing of the One-and-One-Half-Bound Dichotomous Choice Elicitation Method","year":2009,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Economic and Social Research Council","keywords":"Referendum; Misrepresentation; Valuation (finance); Contingent valuation; Economics; Public good; Willingness to pay; Econometrics; Test (biology); Willingness to accept; Preference; Actuarial science; Microeconomics; Law; Political science","score_opus":0.13386904614892417,"score_gpt":0.28065044248835397,"score_spread":0.1467813963394298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095089115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8595811,0.089543976,0.028507203,0.009074958,0.00030721922,0.0021155877,0.00097032345,0.00001640809,0.009883228],"genre_scores_gemma":[0.7944638,0.12669604,0.07611923,0.0024363403,0.00007205039,0.000024104882,0.000025412794,0.000022293714,0.00014071795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988095,0.00003717679,0.00080170954,0.0002088452,0.00001922429,0.00012355475],"domain_scores_gemma":[0.9984226,0.00035265583,0.00092121324,0.00024581063,0.000023387684,0.00003433397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010294251,0.00011556262,0.00044120374,0.000029314893,0.00010829155,0.000025107267,0.00016704582,0.000038554776,0.000027759184],"category_scores_gemma":[0.00045085658,0.0000978379,0.00004464138,0.00007184948,0.000112651476,0.00011470953,0.000049268332,0.00009076677,0.000007111076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063681696,0.00006621709,0.012347922,0.0013242891,0.00006536588,4.703769e-8,0.00029856426,0.0003211615,0.00005903554,0.92885375,0.00013335132,0.056523923],"study_design_scores_gemma":[0.0005988264,0.00019531258,0.5274622,0.0010542978,0.0001390095,0.000010348245,0.000052874995,0.030950105,0.00015294996,0.43512616,0.0039249314,0.000333011],"about_ca_topic_score_codex":0.00014132903,"about_ca_topic_score_gemma":0.000031275627,"teacher_disagreement_score":0.51511425,"about_ca_system_score_codex":0.000047403893,"about_ca_system_score_gemma":0.000026233263,"threshold_uncertainty_score":0.3989714},"labels":[],"label_agreement":null},{"id":"W2095221690","doi":"10.1016/s0380-1330(02)70591-1","title":"Spatial Structure and the Estimation of Zooplankton Biomass in Lake Erie","year":2002,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Transect; Zooplankton; Biomass (ecology); Environmental science; Spatial variability; Spatial ecology; Spatial analysis; Plankton; Physical geography; Oceanography; Common spatial pattern; Autocorrelation; Ecology; Geography; Geology; Statistics; Remote sensing; Biology; Mathematics","score_opus":0.11263024160330257,"score_gpt":0.27786789727516725,"score_spread":0.16523765567186469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095221690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99592054,0.0011674616,0.00023769362,0.0007798655,0.00006723154,0.000102239035,0.00007725524,8.0313845e-7,0.0016469241],"genre_scores_gemma":[0.99903524,0.0005271683,0.00016535747,0.000011356011,0.000053911845,0.000001574694,0.0000035485136,0.0000055610335,0.00019625621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991709,0.00005938907,0.00048283933,0.00008896399,0.00007656651,0.000121318364],"domain_scores_gemma":[0.9994528,0.00013320442,0.0002599593,0.000099893456,0.000020802281,0.000033307755],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001377435,0.00005243858,0.00022507086,0.00025599077,0.00005103843,0.000030281888,0.000118283206,0.000055859986,0.0013699733],"category_scores_gemma":[0.00015792336,0.000040055023,0.000041454743,0.00011917363,0.00020834629,0.00018028259,0.000032194934,0.00020111843,0.000020493397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021778094,0.000078193465,0.96502286,0.0000618409,0.000064129985,0.000010282124,0.00200221,0.0015590753,0.00016503628,0.011824704,0.000943548,0.018050315],"study_design_scores_gemma":[0.003184129,0.00024344986,0.91499686,0.00004150241,0.000006168809,0.00004536008,0.00012764605,0.052943416,0.00035086984,0.024241634,0.0037204067,0.00009858011],"about_ca_topic_score_codex":0.00008286499,"about_ca_topic_score_gemma":0.000805602,"teacher_disagreement_score":0.05138434,"about_ca_system_score_codex":0.000063150306,"about_ca_system_score_gemma":0.000006145393,"threshold_uncertainty_score":0.9995429},"labels":[],"label_agreement":null},{"id":"W2095551648","doi":"10.1111/j.1467-8489.2009.00469.x","title":"Complexity in choice experiments: choice of the status quo alternative and implications for welfare measurement*","year":2009,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":205,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Commonwealth Scientific and Industrial Research Organisation","keywords":"Respondent; Status quo; Choice set; Preference; Welfare; Set (abstract data type); Task (project management); Status quo bias; Function (biology); Economics; Order (exchange); Econometrics; Psychology; Public economics; Microeconomics; Computer science; Political science","score_opus":0.19932018305079774,"score_gpt":0.27271112891714094,"score_spread":0.0733909458663432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095551648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99143577,0.00060040504,0.000013427455,0.007218343,0.00008758412,0.00020605033,0.00008583875,0.0000015477738,0.00035101103],"genre_scores_gemma":[0.9991413,0.00026459582,0.00026889757,0.000106821,0.00009230393,0.0000039521055,0.0000058018018,0.0000044073954,0.00011194065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989705,0.000015878772,0.00064962835,0.00016124963,0.00002093139,0.0001818189],"domain_scores_gemma":[0.99902076,0.00002987959,0.00073967734,0.00009090723,0.000029596682,0.00008916588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027588574,0.00011276429,0.0002864694,0.0000563473,0.00010028272,0.000034734065,0.00014485692,0.000057021414,0.00001557336],"category_scores_gemma":[0.00004930124,0.00008203485,0.00009055617,0.000046628727,0.00008958662,0.00023945786,0.00002587686,0.00011410672,8.3761535e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037571357,0.0001728704,0.96234465,0.000027420469,0.00013246495,8.9019835e-8,0.0014843352,0.0025575983,0.0007676407,0.029024074,0.00084911555,0.0026021863],"study_design_scores_gemma":[0.00092310336,0.00012278237,0.987661,0.000021741045,0.000010871118,0.00000839783,0.000682253,0.000020782014,0.00032894206,0.0041701016,0.0059412713,0.00010877604],"about_ca_topic_score_codex":0.0001224343,"about_ca_topic_score_gemma":0.00007119388,"teacher_disagreement_score":0.025316345,"about_ca_system_score_codex":0.0002001127,"about_ca_system_score_gemma":0.0000071210548,"threshold_uncertainty_score":0.33452842},"labels":[],"label_agreement":null},{"id":"W2095981310","doi":"10.1139/z03-022","title":"Using patch and landscape variables to model bird abundance in a naturally heterogeneous landscape","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service; University of Minnesota Duluth","keywords":"Abundance (ecology); Habitat; Relative species abundance; Ecology; Landscape ecology; Regression analysis; Linear regression; Physical geography; Biology; Geography; Statistics; Mathematics","score_opus":0.06413777431387846,"score_gpt":0.21164688694898515,"score_spread":0.1475091126351067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095981310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99348325,0.0027566697,0.002089193,0.00020243092,0.00021543792,0.000055196368,0.000016801963,0.0000015720277,0.001179439],"genre_scores_gemma":[0.99547905,0.00009169547,0.0038515648,0.00047246937,0.000026558273,0.0000012444816,7.8522805e-7,0.000014449763,0.00006219449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921036,0.000018183406,0.00039044797,0.00014313593,0.000011665622,0.00022618216],"domain_scores_gemma":[0.9995002,0.000018886562,0.0001714794,0.00008002058,0.000010154184,0.00021921773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037504314,0.00008080853,0.00025243656,0.0003163816,0.000046711277,0.000025703677,0.00008703922,0.000086755266,0.00020396312],"category_scores_gemma":[0.00006343347,0.00009409589,0.000032336815,0.00007587612,0.000027879107,0.00011200524,0.0000070556166,0.00011384447,0.000027575863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005682304,0.0000058879355,0.9288285,0.0000037222676,0.000014000691,0.000023724046,0.00033846629,0.065642156,0.00002265639,0.004926843,0.000057767254,0.00013060922],"study_design_scores_gemma":[0.0033372254,0.0004594349,0.64295787,0.00008035857,0.000030637984,0.0016828866,0.00057202164,0.25963682,0.00010147402,0.08627816,0.0039541083,0.0009089724],"about_ca_topic_score_codex":0.0023104472,"about_ca_topic_score_gemma":0.03238604,"teacher_disagreement_score":0.28587058,"about_ca_system_score_codex":0.00013942171,"about_ca_system_score_gemma":0.00011540243,"threshold_uncertainty_score":0.9852704},"labels":[],"label_agreement":null},{"id":"W2096161461","doi":"10.1111/j.1467-8489.2004.00264.x","title":"Wildlife trade and endangered species protection","year":2004,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Poaching; Endangered species; Wildlife; Enforcement; Business; CITES; Incentive; Natural resource economics; Wildlife conservation; Wildlife trade; International trade; Fishery; Ecology; Economics; Microeconomics; Habitat; Biology","score_opus":0.06695802101182279,"score_gpt":0.18324763825187534,"score_spread":0.11628961724005256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096161461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989774,0.00041533075,0.00003972171,0.008829132,0.00014006527,0.000108846165,0.000022100672,0.000005841363,0.0006649807],"genre_scores_gemma":[0.9975666,0.0007713705,0.00039440332,0.00015762422,0.0002757943,0.0000020419152,0.000005404449,0.000008320525,0.0008184542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906033,0.000009056554,0.0005770712,0.00017812432,0.000018258563,0.00015716444],"domain_scores_gemma":[0.99926263,0.000009747292,0.0005287142,0.0000612165,0.000005658585,0.00013200467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025640248,0.0001355374,0.00029707345,0.00007875158,0.000104188846,0.0000848728,0.00008200103,0.00009892333,0.00004772437],"category_scores_gemma":[0.000012524806,0.00011089183,0.00008825103,0.000038374423,0.000101670055,0.00038037554,0.000024048577,0.00017994002,0.0000195467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000461878,0.00094218575,0.65214604,0.000409159,0.0019230626,0.000039790826,0.026048593,0.06196513,0.009176235,0.2079418,0.014637573,0.024308532],"study_design_scores_gemma":[0.00095842633,0.00020649827,0.9716264,0.000023533434,0.000014293861,0.0003140686,0.0013433784,0.0000053809076,0.00058291206,0.0038592839,0.020873299,0.00019250443],"about_ca_topic_score_codex":0.000029433784,"about_ca_topic_score_gemma":0.000008401152,"teacher_disagreement_score":0.31948036,"about_ca_system_score_codex":0.00014379332,"about_ca_system_score_gemma":0.000006194207,"threshold_uncertainty_score":0.45220375},"labels":[],"label_agreement":null},{"id":"W2096165662","doi":"10.1111/hex.12098","title":"Choosing vs. allocating: discrete choice experiments and constant‐sum paired comparisons for the elicitation of societal preferences","year":2013,"lang":"en","type":"article","venue":"Health Expectations","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Capital District Health Authority","funders":"Canadian Centre for Applied Research in Cancer Control","keywords":"Respondent; Preference; Consistency (knowledge bases); Preference elicitation; Psychology; Equity (law); Social preferences; Statistics; Social psychology; Demography; Econometrics; Economics; Mathematics","score_opus":0.21148407389346358,"score_gpt":0.3222247268412828,"score_spread":0.11074065294781921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096165662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9424784,0.009779622,0.036640648,0.0072684805,0.00028271126,0.0018346622,0.0001672883,0.000032670418,0.0015154701],"genre_scores_gemma":[0.99358153,0.00018253083,0.0053753424,0.0002707133,0.000031062318,0.00041176673,0.000059332528,0.000010466512,0.00007724236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907476,0.000019741063,0.00051822956,0.00019628745,0.000027297814,0.00016367037],"domain_scores_gemma":[0.99905777,0.0003135629,0.00043659916,0.00012022613,0.000017708553,0.000054158074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014164129,0.0000839913,0.00020281663,0.000044991968,0.00035756055,0.00004248304,0.00007272415,0.00003297085,0.00009331642],"category_scores_gemma":[0.00006806998,0.000080306716,0.00004650586,0.00005740253,0.000107132364,0.00023249719,0.00001800478,0.000048353253,0.00003110827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029066801,0.0003749583,0.73144484,0.000310435,0.00032486118,2.7212987e-8,0.08876728,0.0012570461,0.0006080389,0.14997004,0.016335497,0.0105779],"study_design_scores_gemma":[0.0012041676,0.00022890756,0.8651257,0.000039947412,0.000014457504,6.8392035e-7,0.04351336,0.079040244,0.00019448159,0.008828028,0.0015654666,0.00024453425],"about_ca_topic_score_codex":0.0008754117,"about_ca_topic_score_gemma":0.000057883983,"teacher_disagreement_score":0.14114201,"about_ca_system_score_codex":0.000077474644,"about_ca_system_score_gemma":0.000025113972,"threshold_uncertainty_score":0.3274813},"labels":[],"label_agreement":null},{"id":"W2096576489","doi":"10.1016/j.jval.2015.09.131","title":"Propensity Score Matching Does not Always Remove Confounding within an Economic Evaluation Based on a Non-Randomized Study","year":2015,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Propensity score matching; Medicine; Confounding; Population; Randomized controlled trial; Abdominal aortic aneurysm; Surgery; Internal medicine; Aneurysm","score_opus":0.3116162339286345,"score_gpt":0.31267160447487585,"score_spread":0.0010553705462413299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096576489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992497,0.000053397394,0.00096686766,0.0005148573,0.0010423138,0.0030934683,0.000036877016,0.000031149382,0.0017640315],"genre_scores_gemma":[0.9976535,0.00001538394,0.0011995891,0.0007084047,0.0001070014,0.00016936749,0.000050918814,0.000037629514,0.000058239384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99685806,0.0005408422,0.0014387049,0.00071094045,0.00011824919,0.0003332137],"domain_scores_gemma":[0.9981693,0.00018781118,0.00093460584,0.00048420115,0.000017330962,0.00020672893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020038899,0.00023020066,0.0008884249,0.00033299942,0.00014957828,0.000097436365,0.00019655227,0.00008874028,0.00011721533],"category_scores_gemma":[0.00026002777,0.0002226945,0.00008323401,0.00008197699,0.00007305525,0.00046636863,0.0000434629,0.00023256763,0.00038014655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002479632,0.00042750695,0.2720813,0.0000405457,0.000027059958,0.0000019288677,0.01062291,0.7061772,0.000004775016,0.00782674,0.000019013974,0.00029142044],"study_design_scores_gemma":[0.03873144,0.0004719801,0.09806483,0.000066919645,0.000010165965,0.0000011595033,0.0014248022,0.8450912,0.00002635996,0.015814112,0.0000113068845,0.00028572074],"about_ca_topic_score_codex":0.018650718,"about_ca_topic_score_gemma":0.00071574136,"teacher_disagreement_score":0.17401646,"about_ca_system_score_codex":0.0024791881,"about_ca_system_score_gemma":0.0002868713,"threshold_uncertainty_score":0.98788416},"labels":[],"label_agreement":null},{"id":"W2096605298","doi":"","title":"Hedonic Regressions. A Consumer Theory Approach","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hedonic index; Hedonic regression; Econometrics; Flexibility (engineering); Function (biology); Economics; Product (mathematics); Regression; Regression analysis; Mathematical economics; Mathematics; Price index; Statistics","score_opus":0.12522839380807624,"score_gpt":0.2909094149742838,"score_spread":0.16568102116620756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096605298","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.389726,0.0040172795,0.00012273675,0.00020332458,0.0008944328,0.0012249348,0.00027299425,0.000050538976,0.60348773],"genre_scores_gemma":[0.9526087,0.028018335,0.0025836595,0.00029649047,0.00018426948,0.0007533547,0.0002821695,0.00017099663,0.015101995],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99516636,0.0003528449,0.0015447175,0.0017989805,0.000090548994,0.001046545],"domain_scores_gemma":[0.9970042,0.0003707022,0.00066024315,0.0016770165,0.000025506626,0.000262321],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0059027714,0.0005014069,0.0010848186,0.0008098854,0.0002458507,0.00018874151,0.0008769911,0.00084844336,0.001475025],"category_scores_gemma":[0.0004674555,0.00061978446,0.0003546375,0.00014429414,0.00057093176,0.00020092465,0.0009807277,0.002095604,0.00063673325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026712267,0.0019759121,0.47905695,0.0007559892,0.0009781764,0.00004007291,0.001978945,0.032626726,0.000031732558,0.3788915,0.0021850883,0.10121177],"study_design_scores_gemma":[0.005173688,0.0002585585,0.1884261,0.00053958996,0.000050522514,0.000066441164,0.0027008476,0.035803393,0.000109352084,0.56554735,0.19713654,0.0041876226],"about_ca_topic_score_codex":0.00007931132,"about_ca_topic_score_gemma":0.000024008867,"teacher_disagreement_score":0.58838576,"about_ca_system_score_codex":0.0020248338,"about_ca_system_score_gemma":0.0002291885,"threshold_uncertainty_score":0.9996253},"labels":[],"label_agreement":null},{"id":"W2097321609","doi":"10.1287/mksc.22.4.442.24910","title":"Enriching Scanner Panel Models with Choice Experiments","year":2003,"lang":"en","type":"article","venue":"Marketing Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pooling; Scanner; Panel data; Computer science; Data set; Choice set; Data mining; Econometrics; Artificial intelligence; Economics","score_opus":0.13941038421311275,"score_gpt":0.22986832753284211,"score_spread":0.09045794331972937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097321609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8221236,0.00018420846,0.0042232685,0.00004399927,0.00014511555,0.00008609057,0.000002577705,0.000018965511,0.1731722],"genre_scores_gemma":[0.99228716,0.000016651262,0.00588403,0.00017212625,0.000019396599,0.00001533028,9.790123e-7,0.000012257791,0.0015920978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988933,0.000022982866,0.0002501122,0.0004593196,0.00006280024,0.0003114602],"domain_scores_gemma":[0.9994501,0.000057997167,0.00016665622,0.00023620036,0.00000849167,0.00008058132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026600885,0.00010181754,0.00013358459,0.000115313494,0.00030742335,0.00010956105,0.00022579342,0.000026079348,0.00030203696],"category_scores_gemma":[0.00021532692,0.00010493368,0.000024193,0.00023330118,0.00017947864,0.0007135672,0.00004260445,0.00007129241,0.0001700055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014050607,0.00009068545,0.86404985,0.00001265317,0.00001345423,0.0000012727324,0.00090783794,0.013142952,0.0011008256,0.119307496,0.00012233274,0.0012365954],"study_design_scores_gemma":[0.0011599612,0.000081713,0.90367806,0.000053604093,0.0000061542733,0.000015780395,0.00071686966,0.073029734,0.0020587593,0.011859271,0.006509605,0.00083050603],"about_ca_topic_score_codex":0.00008473248,"about_ca_topic_score_gemma":0.0000036010404,"teacher_disagreement_score":0.1715801,"about_ca_system_score_codex":0.00018959411,"about_ca_system_score_gemma":0.000023107837,"threshold_uncertainty_score":0.4279071},"labels":[],"label_agreement":null},{"id":"W2097512556","doi":"10.1111/j.1744-7976.2005.04004.x","title":"Labelling Genetically Modified Food: Heterogeneous Consumer Preferences and the Value of Information","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Genome Prairie; Genome Canada","keywords":"Labelling; Context (archaeology); Food labelling; Value (mathematics); Genetically modified organism; Business; Genetically modified food; Food products; Food labeling; Marketing; Economics; Public economics; Food science; Biology; Statistics; Mathematics","score_opus":0.044688187768407286,"score_gpt":0.1530639684966884,"score_spread":0.10837578072828112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097512556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99238527,0.0022856684,0.000102145284,0.0022081705,0.00044520432,0.0002648693,0.00022451056,0.000003304686,0.0020808722],"genre_scores_gemma":[0.9979615,0.0006860349,0.00060757017,0.00041554624,0.00021418824,0.000010067053,0.000025107485,0.000011965418,0.00006799703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99779254,0.000030247278,0.0015434991,0.00021466854,0.000008173751,0.00041083994],"domain_scores_gemma":[0.9977752,0.00011503427,0.0013294801,0.00019344619,0.000056413595,0.00053042837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074192503,0.00021917108,0.00062973745,0.00024200157,0.00016496041,0.0001622759,0.00038321753,0.00012900842,0.00021949263],"category_scores_gemma":[0.0000823431,0.00018307353,0.000195039,0.00005813313,0.0003166464,0.001022602,0.0000276583,0.00019196956,0.00006815929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010689918,0.000023730025,0.03184022,0.00006507398,0.0006638004,0.0000017593029,0.005034976,0.18892092,0.000011610099,0.7638213,0.0004048541,0.009104885],"study_design_scores_gemma":[0.014492367,0.0018869076,0.7116551,0.0002147885,0.00038650495,0.0013262129,0.005554923,0.036140706,0.0008536588,0.16195567,0.062905274,0.0026279292],"about_ca_topic_score_codex":0.008927944,"about_ca_topic_score_gemma":0.1298927,"teacher_disagreement_score":0.6798148,"about_ca_system_score_codex":0.0006657873,"about_ca_system_score_gemma":0.00014492369,"threshold_uncertainty_score":0.99767166},"labels":[],"label_agreement":null},{"id":"W2097820688","doi":"10.1177/0272989x14547915","title":"Societal Preferences for Distributive Justice in the Allocation of Health Care Resources","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Capital District Health Authority","funders":"Health Research Board","keywords":"Distributive justice; Equity (law); Life expectancy; Rationing; Economics; Quality-adjusted life year; Actuarial science; Health care; Maximization; Redistribution (election); Preference; Economic Justice; Public economics; Microeconomics; Medicine; Cost effectiveness; Operations management","score_opus":0.11115335346204629,"score_gpt":0.31420633945608395,"score_spread":0.20305298599403765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097820688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7289303,0.0010116978,0.2666625,0.00093595637,0.00019499379,0.00022557582,0.000040628405,0.0000046774735,0.0019936897],"genre_scores_gemma":[0.99772316,0.000063713276,0.0015838076,0.0005006287,0.00006421959,0.000025260484,0.000027818278,0.000004334863,0.000007032754],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99903566,0.00004753091,0.0005261335,0.00018558504,0.000083772866,0.000121323894],"domain_scores_gemma":[0.99892586,0.000642025,0.0002757467,0.00012447732,0.000008542273,0.000023342725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024727122,0.000056191377,0.00019315848,0.000041445634,0.000088308174,0.000015675287,0.00020705583,0.00006306077,0.000106621774],"category_scores_gemma":[0.0009340402,0.000045876808,0.000052311527,0.0000671211,0.000055830573,0.000058477024,0.000033240478,0.00007621904,0.000021376152],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004762305,0.0001321592,0.15569948,0.00018765214,0.000018499224,1.945266e-7,0.012989975,0.00074040995,0.0000014839078,0.13223648,0.0021785724,0.69576746],"study_design_scores_gemma":[0.0008482646,0.0002471029,0.8804101,0.00016641834,0.000008407838,9.485407e-7,0.0060359198,0.02198233,0.000005537389,0.0780104,0.012150053,0.0001345087],"about_ca_topic_score_codex":0.000030476587,"about_ca_topic_score_gemma":0.000040891842,"teacher_disagreement_score":0.72471064,"about_ca_system_score_codex":0.0000839662,"about_ca_system_score_gemma":0.0000141827795,"threshold_uncertainty_score":0.18708019},"labels":[],"label_agreement":null},{"id":"W2098361067","doi":"10.2193/2006-144","title":"True Metabolizable Energy for Seeds of Common Moist‐Soil Plant Species","year":2007,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ducks Unlimited Canada","funders":"","keywords":"Waterfowl; Perennial plant; Chenopodium; Biology; Nutrient; Bioenergetics; Botany; Agronomy; Weed; Ecology","score_opus":0.06143097224275824,"score_gpt":0.21145439788613585,"score_spread":0.15002342564337762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098361067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7365439,0.002840311,0.17200857,0.0015447543,0.0016351325,0.00033225495,0.00017545448,0.000011676183,0.08490797],"genre_scores_gemma":[0.98997164,0.0016781201,0.0037134825,0.00078571035,0.00023575273,0.000004465237,0.00001620525,0.000018331682,0.003576313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99856454,0.0000074448503,0.0010536897,0.0001271201,0.000059645845,0.00018758092],"domain_scores_gemma":[0.9987222,0.000044295568,0.000996226,0.00015933071,0.00001447816,0.00006348825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013258726,0.00010769215,0.00042493283,0.00030109394,0.00004634702,0.000020470692,0.00019722561,0.00004419851,0.00014239481],"category_scores_gemma":[0.000011032602,0.000113297174,0.00018936998,0.00007921114,0.00003640038,0.0001793401,0.000051379175,0.00005413566,0.000014530826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002540052,0.00060561695,0.15493073,0.0001740608,0.0009041184,0.000015619858,0.00036834783,0.009118659,0.00007645583,0.7805063,0.047413528,0.005632572],"study_design_scores_gemma":[0.002118679,0.000284125,0.25190017,0.00004181122,0.00009082151,0.000010215008,0.0006511506,0.0013472363,0.0011178965,0.021087095,0.7211067,0.00024407984],"about_ca_topic_score_codex":0.00004902056,"about_ca_topic_score_gemma":0.000019847981,"teacher_disagreement_score":0.7594192,"about_ca_system_score_codex":0.00014575449,"about_ca_system_score_gemma":0.0000045612023,"threshold_uncertainty_score":0.46201247},"labels":[],"label_agreement":null},{"id":"W2099061588","doi":"10.1111/caje.12038","title":"Renewable resource management with environmental prediction: the importance of structural specification","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Economics; Renewable resource; Natural resource economics; Resource (disambiguation); Econometrics; Renewable energy; Ecology; Computer science; Biology; Engineering","score_opus":0.11744448476245403,"score_gpt":0.14503483871045028,"score_spread":0.02759035394799625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099061588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98905134,0.0005721033,0.000104486615,0.0012808305,0.00032573182,0.000404407,0.00024883467,0.0000031467405,0.008009096],"genre_scores_gemma":[0.9973701,0.00014448023,0.000669689,0.00028165636,0.0002191937,0.000030839445,0.000042575914,0.00003575454,0.0012056889],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813634,0.000020811263,0.0011276001,0.000316905,0.0000028856239,0.00039544704],"domain_scores_gemma":[0.997762,0.000038784685,0.00124444,0.00047332665,0.000017470287,0.00046392495],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005069225,0.00020098596,0.000418585,0.00029622484,0.0001666785,0.0000777156,0.00045855495,0.00009407391,0.0017840115],"category_scores_gemma":[0.000012939761,0.00020019285,0.00013114825,0.000073683324,0.00024538653,0.000560876,0.00002192116,0.00017648743,0.00008665276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029787898,0.000013354511,0.7378254,0.00002544592,0.0002508173,0.000009016265,0.00083722785,0.020497954,0.000008657594,0.23811479,0.0015183106,0.0008692628],"study_design_scores_gemma":[0.0013880347,0.00045956587,0.7447464,0.000058228383,0.000055587225,0.00029465786,0.003136046,0.003377303,0.00012894647,0.20963755,0.036186535,0.00053116976],"about_ca_topic_score_codex":0.02507849,"about_ca_topic_score_gemma":0.28678635,"teacher_disagreement_score":0.26170787,"about_ca_system_score_codex":0.001483201,"about_ca_system_score_gemma":0.00010314178,"threshold_uncertainty_score":0.9991285},"labels":[],"label_agreement":null},{"id":"W2099115424","doi":"10.1109/aero.2002.1036878","title":"Discrete-space particle filters for reflecting diffusions","year":2003,"lang":"en","type":"article","venue":"Proceedings - IEEE Aerospace Conference","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Pacific Institute for the Mathematical Sciences","keywords":"Discretization; Markov chain; Conditional probability distribution; State space; Particle filter; Mathematics; Filter (signal processing); Filtering problem; Boundary (topology); Markov process; Nonlinear filter; Stochastic differential equation; Amplitude; Noise (video); Applied mathematics; Algorithm; Mathematical analysis; Computer science; Kalman filter; Physics; Artificial intelligence; Statistics; Extended Kalman filter","score_opus":0.1985286500346553,"score_gpt":0.27603218853786865,"score_spread":0.07750353850321334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099115424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9547666,0.00017478412,0.016298337,0.0012699828,0.00036940683,0.0004692181,0.000036294186,0.00007350021,0.026541878],"genre_scores_gemma":[0.989839,0.00011030537,0.0049723275,0.00019680326,0.00005726381,0.00018503987,0.000005644547,0.00003546297,0.0045981165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985351,0.000004866518,0.00041020976,0.0005552186,0.00004038438,0.00045423556],"domain_scores_gemma":[0.9992738,0.000060854793,0.00033403977,0.0001508136,0.000038656526,0.00014188494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000513272,0.00020211689,0.00030730417,0.00005391288,0.0002901566,0.00016667895,0.0001805609,0.000098333716,0.0003720451],"category_scores_gemma":[0.00032630595,0.0002375178,0.000104758066,0.00013775523,0.00008419646,0.00048061987,0.000031920637,0.00013106012,0.0003100265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025200123,0.00011107145,0.28279957,0.00006578594,0.00004545342,2.9554602e-7,0.003201786,0.00009793173,0.01750699,0.6932727,0.0026743074,0.00019888337],"study_design_scores_gemma":[0.01264133,0.0019905637,0.17893447,0.00042571774,0.00020094038,0.00005008681,0.02101503,0.091592826,0.2687204,0.30414942,0.11405054,0.006228698],"about_ca_topic_score_codex":0.00004257423,"about_ca_topic_score_gemma":0.0000141330975,"teacher_disagreement_score":0.38912332,"about_ca_system_score_codex":0.00015089462,"about_ca_system_score_gemma":0.000016819913,"threshold_uncertainty_score":0.9685695},"labels":[],"label_agreement":null},{"id":"W2099293613","doi":"10.2139/ssrn.1985757","title":"Firms' Emissions and Self-Reporting Under Competitive Audit Mechanisms","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Business; Audit; Accounting; Industrial organization","score_opus":0.0424485768980213,"score_gpt":0.22536644201575257,"score_spread":0.18291786511773128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099293613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94869334,0.004349319,0.03510857,0.00076890603,0.0003448456,0.00010647471,0.00000667452,0.000028247043,0.010593657],"genre_scores_gemma":[0.99469054,0.0029715132,0.0007862789,0.00016345212,0.00019121631,0.000004743873,0.000005098755,0.000019651243,0.0011674884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980434,0.000016540787,0.0006354965,0.000168974,0.00003077945,0.0011047944],"domain_scores_gemma":[0.99888647,0.00002772207,0.00085965823,0.00009723339,0.0000064223505,0.00012247748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024080847,0.00011378056,0.00021148133,0.00007800752,0.00024423096,0.000036126825,0.00007878518,0.000070244845,0.00034882364],"category_scores_gemma":[0.000059582675,0.000122231,0.00007218345,0.00004594944,0.000023192057,0.0003627846,0.00004383842,0.00055409124,0.00027428375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020798232,0.00006627542,0.07883697,0.0000021049302,0.00009479581,3.2591632e-7,0.00022161432,0.000023401186,0.000042921612,0.9200437,0.000027010105,0.0006387709],"study_design_scores_gemma":[0.00053354376,0.000108672604,0.13463463,0.000009748933,0.000024587229,0.0004341551,0.0026743351,0.00039904434,0.00007172754,0.85766095,0.0031845176,0.0002640968],"about_ca_topic_score_codex":0.000031952943,"about_ca_topic_score_gemma":0.000028575383,"teacher_disagreement_score":0.062382795,"about_ca_system_score_codex":0.0008605236,"about_ca_system_score_gemma":0.00009213187,"threshold_uncertainty_score":0.4984435},"labels":[],"label_agreement":null},{"id":"W2099657650","doi":"10.1007/s11069-009-9365-4","title":"Amateur decision-making in avalanche terrain with and without a decision aid: a stated choice survey","year":2009,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Amateur; Terrain; Recreation; Natural hazard; Hazard; Preference; Decision analysis; Computer science; Operations research; Geography; Engineering; Cartography; Mathematics; Meteorology; Political science; Statistics; Archaeology","score_opus":0.03436404328484605,"score_gpt":0.26256728668303164,"score_spread":0.2282032433981856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099657650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957935,0.0014650065,0.0012425843,0.000094834686,0.00013853883,0.00021076197,0.0000505145,0.000024454688,0.000979765],"genre_scores_gemma":[0.99517506,0.00013721533,0.004110625,0.00036844204,0.000029602501,0.000006196761,0.000033396653,0.000017656015,0.00012182958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987247,0.00002891138,0.00047108615,0.00045009734,0.00006168479,0.00026350108],"domain_scores_gemma":[0.9993432,0.00017878451,0.00019645263,0.00021059645,0.000012025717,0.00005894239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009107501,0.00017783862,0.00035224034,0.00021212426,0.000070033035,0.000078535435,0.00013421853,0.00010792929,0.000114266375],"category_scores_gemma":[0.0002456347,0.00016502739,0.000033253265,0.0002035539,0.000040602587,0.00036670343,0.000039903505,0.00023238648,0.00010386991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017611298,0.000037773305,0.9224698,0.0000031504496,0.000010228952,0.0000022851013,0.00023444572,0.00024736594,0.000010513243,0.00021563486,0.00017315823,0.07641956],"study_design_scores_gemma":[0.0015050005,0.000110285204,0.97689235,0.00007632377,0.0000026209127,0.000008617631,0.000032316137,0.015959155,0.00000683119,0.004496929,0.0006774333,0.00023211817],"about_ca_topic_score_codex":0.00034526005,"about_ca_topic_score_gemma":0.0012613354,"teacher_disagreement_score":0.07618744,"about_ca_system_score_codex":0.00020230253,"about_ca_system_score_gemma":0.0000137994775,"threshold_uncertainty_score":0.6729622},"labels":[],"label_agreement":null},{"id":"W2099720535","doi":"10.5751/es-02329-130140","title":"The Conservation Contributions of Conservation Easements: Analysis of the San Francisco Bay Area Protected Lands Spatial Database","year":2008,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Easement; Bay; Geography; Nature Conservation; Database; Protected area; Land use; Environmental resource management; Ecology; Archaeology; Environmental science; Political science; Computer science; Biology; Law","score_opus":0.042409065230868764,"score_gpt":0.21555429197171214,"score_spread":0.17314522674084337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099720535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99456626,0.00016381504,0.0032205347,0.0010175789,0.00009759366,0.00025381896,0.00047010375,0.0000044637363,0.00020582619],"genre_scores_gemma":[0.99880344,0.00034049366,0.000124933,0.00038111914,0.000012375056,0.000035047637,0.00018018055,0.0000030679357,0.00011934499],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928576,0.00003776556,0.0004112742,0.00014163488,0.000025225605,0.00009831996],"domain_scores_gemma":[0.99920255,0.00014258835,0.00042104127,0.00018515819,0.000030656935,0.000018007622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005373503,0.00006265781,0.00021998218,0.000027658467,0.00038293976,0.0000047311723,0.00008340172,0.00008624615,0.00016052717],"category_scores_gemma":[0.0001299657,0.000049931867,0.00011361785,0.00018814037,0.0003306878,0.000083541396,0.00004191199,0.00008015931,0.0000034004302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000927472,0.000044330594,0.99385464,0.0000048560764,0.00033923826,4.6033954e-8,0.00045771652,0.00011994903,0.00015261483,0.004074489,0.000924527,0.000018316208],"study_design_scores_gemma":[0.00052196224,0.000031069416,0.9761085,0.0000022248298,0.000076850294,4.6721317e-7,0.00013918664,0.021325795,0.0001995706,0.0007162865,0.0008276321,0.000050485378],"about_ca_topic_score_codex":0.0005359346,"about_ca_topic_score_gemma":0.001058064,"teacher_disagreement_score":0.021205846,"about_ca_system_score_codex":0.000056304692,"about_ca_system_score_gemma":0.00002570496,"threshold_uncertainty_score":0.29453018},"labels":[],"label_agreement":null},{"id":"W2100075638","doi":"10.1016/s1755-5345(13)70002-2","title":"A pilot study into the perception of unreliability of travel times using in-depth interviews","year":2009,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Reliability (semiconductor); Preference; Christian ministry; Ministry of Transport; Actuarial science; Perception; Travel time; Test (biology); Face (sociological concept); Computer science; Economics; Econometrics; Operations management; Operations research; Marketing; Psychology; Applied psychology; Business; Transport engineering; Engineering; Microeconomics; Sociology; Political science","score_opus":0.21517230796746342,"score_gpt":0.28988073848766266,"score_spread":0.07470843052019924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100075638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.951421,0.0005946366,0.047210082,0.00009805092,0.00009120751,0.00013843516,0.0000014429227,8.409919e-7,0.0004442813],"genre_scores_gemma":[0.99748045,0.00019450352,0.0022123235,0.00003318012,0.00005704478,6.716275e-7,3.8456764e-7,0.000006221902,0.000015230707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99850494,0.000043136824,0.0012039436,0.000115383285,0.000047835187,0.000084752275],"domain_scores_gemma":[0.99876946,0.000061625185,0.0009749244,0.00014685631,0.000024160585,0.000022952145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018519951,0.00008041305,0.00037783722,0.00015422619,0.000027732576,0.000010026931,0.0001661375,0.000022968661,0.0000602469],"category_scores_gemma":[0.000036044537,0.00006913436,0.00010074949,0.000088409026,0.00003566582,0.00026290133,0.000016073065,0.00015460349,0.0000039367487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000788751,0.001085914,0.34570187,0.000026906935,0.000039528455,3.3854948e-7,0.010637618,0.63776875,0.0015672271,0.00048780948,0.0000063464404,0.002598836],"study_design_scores_gemma":[0.00097023766,0.0013686651,0.5743281,0.00008068515,0.000027848862,0.000002556365,0.0026204356,0.40442652,0.00013659243,0.015913093,0.000016590038,0.00010867876],"about_ca_topic_score_codex":0.00063638156,"about_ca_topic_score_gemma":0.000046991645,"teacher_disagreement_score":0.2333422,"about_ca_system_score_codex":0.00017494452,"about_ca_system_score_gemma":0.000012994482,"threshold_uncertainty_score":0.2819217},"labels":[],"label_agreement":null},{"id":"W2100201719","doi":"","title":"Canadian consumers' perceptual and attitudinal responses toward green automobile technologies: an application of Hybrid Choice Models","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Discrete choice; Context (archaeology); Dimension (graph theory); Perception; Computer science; Latent variable; Variable (mathematics); Estimation; Operations research; Economics; Engineering; Machine learning; Mathematics","score_opus":0.09359350324735304,"score_gpt":0.2423510185730961,"score_spread":0.14875751532574305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100201719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882337,0.0004388441,0.0043277363,0.0011906471,0.000022027909,0.00022119023,0.00012537799,0.000055926892,0.0053845667],"genre_scores_gemma":[0.997932,0.00015729407,0.0012990948,0.00019643609,0.000009705994,0.000018696102,0.000030969146,0.000007275187,0.00034849506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918824,0.000007765278,0.0003103983,0.0003079146,0.000018355597,0.00016730675],"domain_scores_gemma":[0.99953735,0.000028691946,0.00011913802,0.00022805741,0.00000986624,0.00007691666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023261402,0.000097243035,0.00019973845,0.00018862865,0.00006599521,0.000017015882,0.00013370009,0.00006371143,0.00015685764],"category_scores_gemma":[0.000028905024,0.00011564292,0.000025726287,0.0000674977,0.000092431204,0.00034159745,0.00002031417,0.00006332858,0.000079753336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003094066,0.00013209101,0.7940138,0.000019717003,0.00004077621,0.0000014277297,0.00068069476,0.0006830874,0.00026812102,0.1423742,0.0003675444,0.06138759],"study_design_scores_gemma":[0.0006442211,0.0003542441,0.83640975,0.0000063495336,0.000013216362,0.000014098338,0.0011596632,0.10663828,0.00044708443,0.049602367,0.004305671,0.0004050712],"about_ca_topic_score_codex":0.09021455,"about_ca_topic_score_gemma":0.010648662,"teacher_disagreement_score":0.10595519,"about_ca_system_score_codex":0.00019645905,"about_ca_system_score_gemma":0.00002648196,"threshold_uncertainty_score":0.9158438},"labels":[],"label_agreement":null},{"id":"W2100471466","doi":"","title":"Impacts of wildlife viewing on moose use of a roadside salt lick.","year":2002,"lang":"en","type":"article","venue":"Alces","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nocturnal; Morning; Wildlife; Time of day; Geography; Salt lake; Ecology; Biology; Animal science","score_opus":0.2026870155751539,"score_gpt":0.22607382832457418,"score_spread":0.023386812749420283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100471466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941256,0.0009771417,0.000047066584,0.00027134593,0.00008511246,0.00008278942,0.000029992745,0.000006905296,0.004374054],"genre_scores_gemma":[0.9978125,0.00096514233,0.0004023575,0.0003840528,0.000029076427,0.0000040049367,0.0000050457256,0.000011560328,0.00038623894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923813,0.000008814843,0.00044598884,0.00016280987,0.000023386716,0.00012085395],"domain_scores_gemma":[0.999344,0.000065082444,0.00034724036,0.0002000139,0.0000040410537,0.00003961013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001731729,0.00008014356,0.00025273458,0.00010098684,0.00002373299,0.000011671822,0.00008058173,0.000045505178,0.0006450757],"category_scores_gemma":[0.0000725695,0.0000895435,0.00008072169,0.00006227884,0.000042284755,0.00026510656,0.000024514957,0.00004254108,0.00043056134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009691551,0.0001745255,0.9775345,0.000025436684,0.00006271093,5.701525e-7,0.00091820856,0.0032579093,0.00016429042,0.012574325,0.0029552057,0.002322649],"study_design_scores_gemma":[0.0007413892,0.00028839573,0.96468776,0.000075477554,0.000014431161,0.0000017417252,0.0000654718,0.009240388,0.002362593,0.0034091047,0.01883702,0.0002761999],"about_ca_topic_score_codex":0.00036326153,"about_ca_topic_score_gemma":0.000014658153,"teacher_disagreement_score":0.015881814,"about_ca_system_score_codex":0.000043224165,"about_ca_system_score_gemma":0.0000020150258,"threshold_uncertainty_score":0.7063126},"labels":[],"label_agreement":null},{"id":"W2101188633","doi":"10.3917/reco.625.0941","title":"Effets d'éviction ou de renforcement des politiques publiques à destination de l'économie sociale","year":2011,"lang":"fr","type":"article","venue":"Revue économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.18274200067824223,"score_gpt":0.24532415446156672,"score_spread":0.06258215378332449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101188633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9107691,0.004465545,0.022109024,0.00434309,0.0009834291,0.0006109008,0.00014694028,0.00010592879,0.05646601],"genre_scores_gemma":[0.9430637,0.00868167,0.022010377,0.001393429,0.0008735677,0.0002399598,0.00010388108,0.00009511873,0.023538318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99722195,0.00014328021,0.0011228712,0.00066617754,0.000015174959,0.0008305652],"domain_scores_gemma":[0.9983371,0.000115118346,0.00082352303,0.00040188766,0.00005891583,0.0002634776],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018014787,0.0003649222,0.0005652733,0.00027470803,0.00026972286,0.00017425214,0.0002956675,0.00053476536,0.0026132977],"category_scores_gemma":[0.0002796065,0.00058469886,0.00027909162,0.0000946057,0.0003226012,0.0014749588,0.00010581599,0.0002974788,0.0011882833],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029018696,0.00023021003,0.42779893,0.0002233421,0.00012004882,0.000004188649,0.0028498622,0.0005038381,0.000025665917,0.5454777,0.00084916124,0.02188806],"study_design_scores_gemma":[0.0009545181,0.00033299814,0.5510207,0.0002583216,0.00007209768,0.00006209339,0.00045237996,0.014528353,0.002289246,0.39682913,0.03240664,0.0007935483],"about_ca_topic_score_codex":0.011289368,"about_ca_topic_score_gemma":0.0012545551,"teacher_disagreement_score":0.14864855,"about_ca_system_score_codex":0.006548639,"about_ca_system_score_gemma":0.0002495846,"threshold_uncertainty_score":0.99966043},"labels":[],"label_agreement":null},{"id":"W2101351994","doi":"10.1017/s1074070800002479","title":"Land Preservation in British Columbia: An Empirical Analysis of the Factors Underlying Public Support and Willingness to Pay","year":2008,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Willingness to pay; Agriculture; Agricultural economics; Natural resource economics; Agricultural land; Business; Willingness to accept; Land use; Empirical research; Nature reserve; Economics; Environmental resource management; Geography; Ecology","score_opus":0.11821953284510389,"score_gpt":0.22306364986158975,"score_spread":0.10484411701648585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101351994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992792,0.00004487837,0.00003070557,0.0002835944,0.0000618936,0.00010581467,0.000034932822,0.0000018136714,0.00015714056],"genre_scores_gemma":[0.9993098,0.0003280932,0.00013328016,0.000093479735,0.00002566355,0.0000026635648,0.000016269485,0.0000046169444,0.000086161715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904513,0.000009193242,0.0006414739,0.00016657925,0.000021905484,0.00011573132],"domain_scores_gemma":[0.9993185,0.00002999074,0.00048085995,0.00007077938,0.000012942841,0.00008694657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027805133,0.000070269016,0.0003879639,0.00007295312,0.00009991703,0.000102720216,0.00011108726,0.00006584659,0.000038587154],"category_scores_gemma":[0.000012930669,0.00006189123,0.0000756901,0.00017880042,0.00004880467,0.00044847475,0.00004738545,0.000102556405,0.000001036603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026787773,0.00003817113,0.9934304,0.000003342033,0.000081748345,8.802285e-8,0.0004200204,0.00560359,0.000013980218,0.0001325527,0.00003945454,0.00023399293],"study_design_scores_gemma":[0.00030740965,0.00004939431,0.9982638,0.0000032231437,0.000028560971,0.0000139279055,0.00043710376,0.00015813473,0.000009448711,0.00048869714,0.00014124092,0.000099086814],"about_ca_topic_score_codex":0.00082075153,"about_ca_topic_score_gemma":0.00983629,"teacher_disagreement_score":0.009015539,"about_ca_system_score_codex":0.00008192419,"about_ca_system_score_gemma":0.000011226271,"threshold_uncertainty_score":0.5488881},"labels":[],"label_agreement":null},{"id":"W2101495086","doi":"10.1017/s1355770x0400186x","title":"Biodiversity and nature-based tourism at forest reserves in Uganda","year":2005,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biodiversity; Tourism; Revenue; Protected area; Nature reserve; Willingness to pay; Geography; Natural resource economics; Ecotourism; Agriculture; Value (mathematics); Environmental resource management; Business; Nature tourism; Agroforestry; Environmental protection; Ecology; Economics; Environmental science","score_opus":0.03911117301221007,"score_gpt":0.16878237325761894,"score_spread":0.12967120024540887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101495086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957769,0.0013950722,0.0000974047,0.0009813542,0.0000678458,0.00017911017,0.000029064162,0.000010873255,0.0014624051],"genre_scores_gemma":[0.9927772,0.0016555962,0.004368208,0.00046742265,0.00003400143,0.000018344248,0.00007789007,0.000012054653,0.00058926735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988108,0.000008398554,0.00044862155,0.00047322144,0.000019221741,0.00023969269],"domain_scores_gemma":[0.99954784,0.0000311588,0.00016223185,0.00015776815,8.1350606e-7,0.00010016266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037413838,0.0001768284,0.00025467656,0.00014528305,0.0001537131,0.000040035735,0.00009354422,0.00016079238,0.0005054745],"category_scores_gemma":[0.000005915767,0.00022450178,0.000028434237,0.00001841559,0.000094903065,0.00027731902,0.00018238176,0.00012940029,0.0006619085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019558343,0.00004708307,0.99554914,0.0000067787582,0.000017301207,9.190913e-7,0.00025871306,0.0013005028,0.0000036258953,0.0010001542,0.00018998522,0.00160623],"study_design_scores_gemma":[0.0011146995,0.000020723488,0.89519376,0.0000036442123,0.0000023285902,0.0000013068335,0.00005112045,0.0015367973,0.00028872755,0.00058121,0.100931175,0.00027452814],"about_ca_topic_score_codex":0.000031434065,"about_ca_topic_score_gemma":0.00023956911,"teacher_disagreement_score":0.10074119,"about_ca_system_score_codex":0.00058497564,"about_ca_system_score_gemma":0.000010028021,"threshold_uncertainty_score":0.9154917},"labels":[],"label_agreement":null},{"id":"W2101558289","doi":"10.1504/ijssoc.2009.028909","title":"Forest value orientations of interest groups in three regions varying in importance of commercial forestry","year":2009,"lang":"en","type":"article","venue":"International Journal of Sustainable Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Anthropocentrism; Forestry; Geography; Value (mathematics); Ecology; Agroforestry; Environmental science; Mathematics; Biology","score_opus":0.08026155674027496,"score_gpt":0.26530110143758334,"score_spread":0.18503954469730838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101558289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99204284,0.00029868487,0.0049667577,0.0011371407,0.000166294,0.000110150555,0.000015490687,0.0000017183472,0.0012609366],"genre_scores_gemma":[0.99831027,0.00020364823,0.0011994507,0.000144048,0.000070801274,0.0000030506892,0.0000108119675,0.0000071237682,0.000050772465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857223,0.000010727248,0.0010814625,0.00011813402,0.00006324361,0.0001542137],"domain_scores_gemma":[0.9987511,0.00006114701,0.0009675763,0.000096922886,0.00009110359,0.000032154265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065949914,0.00008261464,0.00028043322,0.00022052377,0.000024071012,0.0000151596205,0.00029157486,0.000072974195,0.00004816186],"category_scores_gemma":[0.00010303574,0.00009794001,0.00019543224,0.00016637525,0.00007215709,0.0005466806,0.000046178684,0.00019278732,0.0000016241956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030031091,0.00016165331,0.6811978,0.0000108666445,0.00003284482,0.000009455744,0.001047967,0.006071128,0.000014410554,0.3111977,0.00009731189,0.00012881482],"study_design_scores_gemma":[0.001010462,0.00008424434,0.75216854,0.000048630038,0.000004129266,0.000007887878,0.002757743,0.0016271109,0.00003816384,0.24210231,0.00008066195,0.00007013304],"about_ca_topic_score_codex":0.00023993039,"about_ca_topic_score_gemma":0.00020001984,"teacher_disagreement_score":0.07097072,"about_ca_system_score_codex":0.00055993785,"about_ca_system_score_gemma":0.000054939617,"threshold_uncertainty_score":0.39938775},"labels":[],"label_agreement":null},{"id":"W2101919029","doi":"10.1111/j.1523-1739.2010.01625.x","title":"Generation of Priority Research Questions to Inform Conservation Policy and Management at a National Level","year":2010,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Canadian Wildlife Federation; Agriculture and Agri-Food Canada; Fisheries and Oceans Canada; Environment and Climate Change Canada; University of Alberta; Council of Canadian Academies; Aboriginal Affairs Northern Dev Canada; Institut National de la Recherche Scientifique; Canadian Food Inspection Agency; University of Victoria; Ocean Networks Canada Society; Parks Canada; Memorial University of Newfoundland; Université du Québec à Rimouski; York University; Carleton University; University of Ottawa; Dalhousie University","funders":"University of Toronto; Memorial University of Newfoundland; Canada Research Chairs; Kresge Foundation; University of Ottawa","keywords":"Environmental resource management; Natural resource; Natural resource management; Resource management (computing); Ecosystem management; Political science; Diversity (politics); Credibility; Environmental planning; Geography; Ecology; Ecosystem; Economics","score_opus":0.4629373608236552,"score_gpt":0.3690088397818741,"score_spread":0.09392852104178112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101919029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782026,0.00003746604,0.002082896,0.011378173,0.00018341123,0.00036967735,0.0001528472,0.000011620531,0.007581317],"genre_scores_gemma":[0.9915128,0.000121142584,0.005038903,0.0014257093,0.00011436931,0.000088090346,0.00022903585,0.0000070183405,0.0014629479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999089,0.00002681027,0.00044994257,0.00024672825,0.000042653588,0.00014484228],"domain_scores_gemma":[0.9994269,0.00008891097,0.00017293904,0.00015129687,0.000106265696,0.00005370496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013073239,0.00007351195,0.00013957525,0.00039650736,0.00020002671,0.000018548044,0.00008495413,0.0001183588,0.00018263457],"category_scores_gemma":[0.00041401238,0.000090082285,0.00002207873,0.00025391747,0.00016890484,0.0001647102,0.00010998209,0.00009803277,0.00021527309],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068920504,0.00002090915,0.29411843,0.0000096717185,0.000011595376,3.5500705e-8,0.00011628628,0.000013430327,0.0051555284,0.6983463,0.0014771667,0.00072375085],"study_design_scores_gemma":[0.00034227292,0.00005503625,0.87137264,0.0000034368575,0.0000017840584,0.0000020675166,0.000017710949,0.0028341617,0.0005235448,0.037363965,0.08738728,0.00009612127],"about_ca_topic_score_codex":0.0007994415,"about_ca_topic_score_gemma":0.0010449733,"teacher_disagreement_score":0.6609824,"about_ca_system_score_codex":0.00021630374,"about_ca_system_score_gemma":0.000043484724,"threshold_uncertainty_score":0.36734492},"labels":[],"label_agreement":null},{"id":"W2101928545","doi":"10.1037/1082-989x.10.3.285","title":"Structural Equation Modeling of Paired-Comparison and Ranking Data.","year":2005,"lang":"en","type":"article","venue":"Psychological Methods","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Thurstone scale; Structural equation modeling; Covariance; Ranking (information retrieval); Statistical model; Factor analysis; Econometrics; Model selection; Statistics; Computer science; Factor (programming language); Mathematics; Artificial intelligence","score_opus":0.6611313861810452,"score_gpt":0.43620183126280326,"score_spread":0.2249295549182419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101928545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62179035,0.0012019753,0.3731237,0.00017458378,0.00010536307,0.00006837844,0.000013375619,0.000011983238,0.0035103022],"genre_scores_gemma":[0.7235739,0.00007729197,0.276156,0.00008881899,0.000059368504,0.000003378569,0.000019803472,0.000005265963,0.000016156078],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988627,0.000065333166,0.0005563676,0.00037257202,0.00002017892,0.0001228574],"domain_scores_gemma":[0.99933755,0.00009543962,0.00022806558,0.00029858304,0.000004022787,0.00003634385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017028105,0.000084202984,0.00027321515,0.00005354157,0.00004821011,0.000016931532,0.0001729606,0.000085045234,0.00035153495],"category_scores_gemma":[0.00015179139,0.000084167994,0.000032150776,0.00005011305,0.00004633862,0.0002530654,0.00008448076,0.000096481206,0.000039406033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044853827,0.00012383067,0.40236595,0.00001923858,0.000045004686,1.7025758e-7,0.0007534541,0.03620291,0.00040335025,0.056723587,0.00006427623,0.5032534],"study_design_scores_gemma":[0.00029643803,0.000037770325,0.10060914,0.0000032429361,0.0000048552097,0.000001427582,0.00004551791,0.8565396,0.00003693696,0.04197979,0.0003469187,0.00009837323],"about_ca_topic_score_codex":0.000019079387,"about_ca_topic_score_gemma":0.0000012366909,"teacher_disagreement_score":0.8203367,"about_ca_system_score_codex":0.000029506973,"about_ca_system_score_gemma":8.822103e-7,"threshold_uncertainty_score":0.3849061},"labels":[],"label_agreement":null},{"id":"W2102212534","doi":"10.1111/j.1467-8276.2006.00914.x","title":"Labeling Context and Reference Point Effects in Models of Food Attribute Demand","year":2006,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Context (archaeology); Set (abstract data type); Point (geometry); Product (mathematics); Econometrics; Observable; Food labeling; Computer science; Economics; Mathematics; Food science","score_opus":0.033920729302083744,"score_gpt":0.1816647422114418,"score_spread":0.14774401290935807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102212534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968481,0.0015307935,0.00053998455,0.00020994889,0.00008500634,0.00009939409,0.000036927362,0.0000027413644,0.00064708013],"genre_scores_gemma":[0.99790984,0.00081636914,0.001106886,0.000072367904,0.00005276748,0.000002661412,0.000008480005,0.0000086468835,0.000021965225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998631,0.000020836864,0.0009811476,0.00017969712,0.000017618633,0.0001697018],"domain_scores_gemma":[0.99846566,0.00009053148,0.0012800235,0.00008428762,0.00001984538,0.000059649537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039125947,0.00013453551,0.0006052983,0.00012223536,0.00002871405,0.000025341093,0.00012266848,0.000045540968,0.00001083447],"category_scores_gemma":[0.00001700439,0.00012151061,0.0000862023,0.00007872649,0.00011318575,0.00049794494,0.000037153713,0.0001342287,0.000008441828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009901244,0.00027615498,0.5397174,0.000072369956,0.00025285108,0.0000035281191,0.0010723396,0.21659003,0.00070359674,0.23101412,0.00021476978,0.009983851],"study_design_scores_gemma":[0.0016474448,0.0009138708,0.9623967,0.00006504437,0.00002077856,0.000057702404,0.001436076,0.0019603267,0.00090410025,0.030194849,0.00008189087,0.0003212335],"about_ca_topic_score_codex":0.00034707313,"about_ca_topic_score_gemma":0.00012704682,"teacher_disagreement_score":0.4226793,"about_ca_system_score_codex":0.00018539956,"about_ca_system_score_gemma":0.000010684353,"threshold_uncertainty_score":0.49550587},"labels":[],"label_agreement":null},{"id":"W2102222137","doi":"10.1111/j.1744-7976.2009.01163.x","title":"An Overview of Computational Modeling in Agricultural and Resource Economics","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Waterloo","funders":"","keywords":"Phone; Library science; Schools of economic thought; Management; Political science; Operations research; History; Engineering; Economics; Computer science; Philosophy","score_opus":0.11265158715831138,"score_gpt":0.1923352605119964,"score_spread":0.07968367335368502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102222137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99351674,0.0023166926,0.000030190207,0.0016787811,0.00030155183,0.0002133013,0.00022302916,0.0000049720716,0.0017147381],"genre_scores_gemma":[0.99794304,0.00049589935,0.0007548223,0.00036954717,0.00023990829,0.0000038814833,0.000103158585,0.000019321544,0.00007044508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99704,0.00003163695,0.0018790409,0.00047272805,0.000008379054,0.0005682563],"domain_scores_gemma":[0.99763983,0.00004933752,0.001147618,0.00022509924,0.00005605293,0.00088205363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007441623,0.00031823592,0.0009345369,0.00052582717,0.00012371113,0.00012313973,0.00043946144,0.00020362597,0.00015615662],"category_scores_gemma":[0.000038908318,0.00033685914,0.00021614794,0.000117559764,0.00010104275,0.0012343497,0.000017767275,0.00029191023,0.000022986189],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029432464,0.000054435135,0.035717964,0.000032499516,0.00009392596,0.0000065034587,0.0019243497,0.74381137,0.000016744554,0.21600516,0.00014784803,0.0021597717],"study_design_scores_gemma":[0.0014346186,0.0005648226,0.8964053,0.00008699756,0.000026834436,0.00029063615,0.0022585522,0.020393774,0.00001877271,0.07682815,0.0010089113,0.0006826487],"about_ca_topic_score_codex":0.010571261,"about_ca_topic_score_gemma":0.14552522,"teacher_disagreement_score":0.8606873,"about_ca_system_score_codex":0.0015635872,"about_ca_system_score_gemma":0.00018220524,"threshold_uncertainty_score":0.9999083},"labels":[],"label_agreement":null},{"id":"W2102583691","doi":"10.1111/j.1744-7976.2012.01252.x","title":"Identifying Priority Areas for Forest Landscape Restoration to Protect Ridgelines and Hillsides: A Cost‐Benefit Analysis","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reforestation; Liberian dollar; Payment; Easement; Business; Cost–benefit analysis; Equity (law); Afforestation; Direct Payments; Natural resource economics; Forestry; Geography; Environmental planning; Finance; Economics; Ecology; Political science","score_opus":0.08723329973104861,"score_gpt":0.20108832477371186,"score_spread":0.11385502504266325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102583691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937153,0.0012159918,0.00070367137,0.0016425819,0.0010102879,0.00077453244,0.0005996426,0.000007420492,0.00033056067],"genre_scores_gemma":[0.9969078,0.00010773503,0.0011636476,0.0002691994,0.0008883358,0.00008390228,0.0001457515,0.000028288227,0.000405383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975163,0.000016195112,0.0012747387,0.0004145647,0.000008329455,0.0007699076],"domain_scores_gemma":[0.9970151,0.00008867193,0.0010364896,0.00023756833,0.000081733044,0.0015404213],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010595274,0.00029835122,0.00081868726,0.00078862405,0.0002931636,0.0002374383,0.0002916164,0.00016191637,0.00018321846],"category_scores_gemma":[0.00016772487,0.00031461494,0.00034340622,0.00021571999,0.0000571169,0.0012342847,0.000029566849,0.00016884162,0.00007547123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034313438,0.000020101961,0.9336675,0.00004935127,0.00065777276,0.0000020207372,0.0026424911,0.017701058,0.000013440659,0.043119203,0.0011611903,0.0009315829],"study_design_scores_gemma":[0.0006698978,0.0001774442,0.9812778,0.00002727041,0.00018290529,0.00006727233,0.0011723228,0.0006910489,0.000027564363,0.0047779055,0.01042625,0.0005023209],"about_ca_topic_score_codex":0.014772153,"about_ca_topic_score_gemma":0.5356423,"teacher_disagreement_score":0.5208702,"about_ca_system_score_codex":0.001742977,"about_ca_system_score_gemma":0.00010646531,"threshold_uncertainty_score":0.9999306},"labels":[],"label_agreement":null},{"id":"W2103348887","doi":"10.1111/j.1744-7976.2010.01217.x","title":"The Economic Benefits of Wetland Retention and Restoration in Manitoba","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wetland; Forestry; Population; Geography; Willingness to pay; Welfare economics; Environmental science; Mathematics; Economics; Sociology; Demography; Ecology","score_opus":0.09241512420676772,"score_gpt":0.15315834487734262,"score_spread":0.0607432206705749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103348887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355066,0.001635061,0.000004662532,0.00054537365,0.0010457701,0.00021188661,0.00014021857,0.000002412897,0.002863956],"genre_scores_gemma":[0.9984988,0.00094516436,0.00012514497,0.00004677576,0.00019243182,0.000009496616,0.000019803949,0.00001768144,0.00014471568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978226,0.000024995083,0.0014586446,0.00026235243,0.0000050821372,0.0004263416],"domain_scores_gemma":[0.9979647,0.00006294956,0.0013025118,0.00021259626,0.00003036735,0.00042687662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088274037,0.0002022094,0.00050171156,0.00033075246,0.00016811585,0.00007932149,0.00033688024,0.00013426824,0.00015920372],"category_scores_gemma":[0.000049665454,0.0001887963,0.00014303441,0.00005814509,0.00017216157,0.00074521446,0.00002351998,0.00018531061,0.00005887149],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006187622,0.000016126805,0.6496444,0.000025212463,0.00014472364,0.000005007783,0.0032662947,0.0042339806,0.000017172122,0.33929387,0.0004836304,0.0028077187],"study_design_scores_gemma":[0.0006512586,0.00021889729,0.98017186,0.000037403075,0.000015950336,0.00009990715,0.002202673,0.00019148308,0.00007394667,0.014202818,0.0018711518,0.00026265273],"about_ca_topic_score_codex":0.07146854,"about_ca_topic_score_gemma":0.85014766,"teacher_disagreement_score":0.77867913,"about_ca_system_score_codex":0.0020611489,"about_ca_system_score_gemma":0.00015863689,"threshold_uncertainty_score":0.9347146},"labels":[],"label_agreement":null},{"id":"W2104004144","doi":"10.1139/x00-128","title":"Exploring the preferences of wildlife recreationists for features of boreal forest management: a choice experiment approach","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Woodland caribou; Wildlife; Geography; Forest management; Habitat; Preference; Taiga; Woodland; Wildlife management; Environmental resource management; Forestry; Ecology; Environmental science; Biology","score_opus":0.3197390008891351,"score_gpt":0.299599510011838,"score_spread":0.020139490877297106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104004144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619997,0.0010824354,0.00012680168,0.0003469807,0.00007326272,0.00035525492,0.000048094764,9.631361e-7,0.035966497],"genre_scores_gemma":[0.9973357,0.00061138807,0.0009950813,0.000015957141,0.00008545672,0.00007360362,0.000015967982,0.000012223337,0.00085465395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989007,0.000034510656,0.0005528429,0.00014526727,0.00009177839,0.00027490896],"domain_scores_gemma":[0.9992117,0.0001106318,0.0002518702,0.00020425013,0.000055667097,0.0001658455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014035787,0.00007917806,0.00022996296,0.0003324129,0.00017657357,0.00004931948,0.0003864806,0.000037690726,0.00014047771],"category_scores_gemma":[0.000073531024,0.000069018926,0.00010370854,0.00016406694,0.0002225632,0.0002633957,0.000014522213,0.00015094396,0.000007776199],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087101806,0.000083459054,0.88517463,0.00012774758,0.00018612466,0.0000018551202,0.0022707735,0.0057631615,0.0000026531852,0.085466206,0.0031834284,0.017652854],"study_design_scores_gemma":[0.00047268995,0.00021550759,0.9791214,0.000048823455,0.000007485024,0.000004493063,0.0007823985,0.00024300076,0.00006996756,0.0072710537,0.011692555,0.00007061763],"about_ca_topic_score_codex":0.0112378355,"about_ca_topic_score_gemma":0.010667189,"teacher_disagreement_score":0.09394677,"about_ca_system_score_codex":0.0002020869,"about_ca_system_score_gemma":0.000104589,"threshold_uncertainty_score":0.9953464},"labels":[],"label_agreement":null},{"id":"W2104329116","doi":"10.1017/s1074070800003941","title":"Are Consumers Willing to Pay More for Biodegradable Containers Than for Plastic Ones? Evidence from Hypothetical Conjoint Analysis and Nonhypothetical Experimental Auctions","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vineland Research and Innovation Centre","funders":"","keywords":"Conjoint analysis; Willingness to pay; Probit model; Common value auction; Ordered probit; Probit; Price premium; Economics; Business; Marketing; Microeconomics; Econometrics; Preference","score_opus":0.061158233294131836,"score_gpt":0.22601662041905055,"score_spread":0.1648583871249187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104329116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99207056,0.0002087022,0.0054138866,0.001362309,0.00031045306,0.0003300872,0.0002686533,0.0000056576832,0.00002970306],"genre_scores_gemma":[0.9885852,0.000120311284,0.01086296,0.00014336582,0.00017321506,0.00004669297,0.000017411698,0.0000121577295,0.000038708804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878454,0.0000039076317,0.0006630874,0.00032342286,0.000020958212,0.000204053],"domain_scores_gemma":[0.9987275,0.000345167,0.0006019097,0.000089281406,0.00002258269,0.00021354418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026634603,0.0001774644,0.00056390197,0.00012411072,0.00015414468,0.00011161189,0.00010202082,0.000105788116,0.00004308385],"category_scores_gemma":[0.000074745076,0.0001332781,0.00018882667,0.000058589834,0.00012680877,0.0002161772,0.000035768488,0.00014136283,0.000008617127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015507691,0.00072835997,0.78721184,0.00010526325,0.004095488,9.788926e-7,0.0038294995,0.04362589,0.0535725,0.10194015,0.001053596,0.0022856551],"study_design_scores_gemma":[0.0014502786,0.00019572634,0.9837378,0.000019873347,0.00027336855,0.000018942645,0.002729327,0.002081168,0.0058495263,0.0026604792,0.0006033979,0.00038009344],"about_ca_topic_score_codex":0.000036658497,"about_ca_topic_score_gemma":0.000086399996,"teacher_disagreement_score":0.19652596,"about_ca_system_score_codex":0.00009356433,"about_ca_system_score_gemma":0.000008700361,"threshold_uncertainty_score":0.5434923},"labels":[],"label_agreement":null},{"id":"W2104335476","doi":"10.2166/wqrj.2001.025","title":"Identifying and Assessing the Economic Benefits of Contaminated Aquatic Sediment Cleanup","year":2001,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Environmental remediation; Sediment; Environmental science; Valuation (finance); Aquatic ecosystem; Environmental planning; Contamination; Environmental resource management; Ecology; Business; Geology; Biology","score_opus":0.41499636113123056,"score_gpt":0.3931417148719476,"score_spread":0.02185464625928296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104335476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99467933,0.0011355105,0.00047228372,0.0014090033,0.00017637805,0.0001503057,0.0000094888865,0.0000045031074,0.0019631765],"genre_scores_gemma":[0.99802494,0.0010852478,0.00012782679,0.00005828713,0.00011911019,0.0000069254556,0.0000069895673,0.000013119174,0.00055754837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981901,0.0002475009,0.0008568884,0.00022918316,0.000099212266,0.00037712933],"domain_scores_gemma":[0.9992401,0.0001614149,0.00026771612,0.00020973607,0.0000205064,0.00010052491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010433939,0.00009548589,0.00026694813,0.00018890155,0.0004167983,0.00030938807,0.00022853927,0.00005900397,0.00066499406],"category_scores_gemma":[0.00006558537,0.00007223683,0.000086960186,0.000052842537,0.0002125602,0.0005273954,0.00014259687,0.00036803164,0.0003678388],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041939955,0.0001069513,0.9513928,0.000048959995,0.00021700983,0.0000054077314,0.0055637993,0.0007818046,0.0014072093,0.025270943,0.00038673225,0.014776418],"study_design_scores_gemma":[0.0013802847,0.00013599297,0.93249285,0.000070904585,0.0000120749555,0.000096050426,0.0039013878,0.003828617,0.0031019247,0.05248037,0.002253332,0.00024623596],"about_ca_topic_score_codex":0.00058283296,"about_ca_topic_score_gemma":0.000035585614,"teacher_disagreement_score":0.027209427,"about_ca_system_score_codex":0.00041264723,"about_ca_system_score_gemma":0.00002086884,"threshold_uncertainty_score":0.7281219},"labels":[],"label_agreement":null},{"id":"W2104572081","doi":"10.1086/679255","title":"Household Decision Making and Valuation of Environmental Health Risks to Parents and Their Children","year":2014,"lang":"en","type":"article","venue":"Journal of the Association of Environmental and Resource Economists","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Willingness to pay; Contingent valuation; Economics; Valuation (finance); Marginal utility; Preference; Actuarial science; Health risk; Resource allocation; Public economics; Microeconomics; Environmental health; Medicine","score_opus":0.03932503753919103,"score_gpt":0.212462904876132,"score_spread":0.17313786733694098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104572081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979394,0.00095915684,0.00017333562,0.00039434657,0.00008101675,0.00016732249,0.00018134333,0.0000014695411,0.00010259439],"genre_scores_gemma":[0.99860865,0.0007740928,0.0002717816,0.0002183759,0.00005513655,0.0000015542395,0.000004132796,0.000013514627,0.000052768555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987283,0.00006545583,0.0008241391,0.00018948787,0.000064326436,0.00012833618],"domain_scores_gemma":[0.9977517,0.00012644174,0.0019042832,0.00013354993,0.0000015726408,0.00008246481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014104744,0.00012457147,0.00039830056,0.00009709365,0.00011165859,0.00002056669,0.00011874845,0.00007608175,0.000034869237],"category_scores_gemma":[0.00005103431,0.000107474516,0.000091190996,0.000020563739,0.00007353349,0.00014171639,0.00014004608,0.00010502466,0.000004594918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023335706,0.00006836463,0.9842621,0.000007514853,0.000063363696,1.7253246e-8,0.00066499814,0.000596976,0.00031619592,0.00009813554,0.000041251995,0.013857754],"study_design_scores_gemma":[0.00083232915,0.00017574783,0.995357,0.000039645478,0.0000133739795,0.000008057372,0.0002133449,0.00032973758,0.00016212153,0.0021519766,0.0006196153,0.00009709927],"about_ca_topic_score_codex":0.00002055256,"about_ca_topic_score_gemma":0.0000050863882,"teacher_disagreement_score":0.013760655,"about_ca_system_score_codex":0.00032638267,"about_ca_system_score_gemma":0.000004394285,"threshold_uncertainty_score":0.43826836},"labels":[],"label_agreement":null},{"id":"W2104948517","doi":"10.2139/ssrn.2142085","title":"Public Procurement and the Private Supply of Green Buildings","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Procurement; Government procurement; Government (linguistics); Business; Public economics; Public administration; Natural resource economics; Economics; Political science; Marketing","score_opus":0.05598741449812117,"score_gpt":0.19732145123815842,"score_spread":0.14133403674003725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104948517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796964,0.013162125,0.0026022112,0.002802042,0.00009918524,0.00014665304,0.0000038951684,0.0000042290744,0.0014832948],"genre_scores_gemma":[0.9933648,0.0057395347,0.00011882552,0.00010058409,0.00012372214,0.000008024402,0.0000017696799,0.000010632938,0.00053210236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986669,0.000019633115,0.0003710751,0.0000995521,0.000032718006,0.0008101286],"domain_scores_gemma":[0.9994693,0.0000200222,0.00035283808,0.00010081018,0.0000064449246,0.00005057995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034200144,0.00007834224,0.00017762452,0.00006795025,0.00010586418,0.000025736275,0.000140617,0.00003513123,0.000102244034],"category_scores_gemma":[0.00003336932,0.000062885956,0.00006321598,0.000050783674,0.00009365911,0.00035615903,0.000045486024,0.00034877824,0.000049212158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009024389,0.000021148811,0.34400374,0.000002680707,0.00005395881,1.0551158e-8,0.00020104024,0.0000019401482,0.000011486833,0.65345854,0.000014394285,0.0022220756],"study_design_scores_gemma":[0.002127918,0.0001149864,0.216321,0.000006114951,0.00001985973,0.000076983895,0.00049556507,0.00015674798,0.000077976634,0.77094376,0.009494471,0.0001646233],"about_ca_topic_score_codex":0.00010735534,"about_ca_topic_score_gemma":0.000033636723,"teacher_disagreement_score":0.12768272,"about_ca_system_score_codex":0.0003558252,"about_ca_system_score_gemma":0.00004498676,"threshold_uncertainty_score":0.2564415},"labels":[],"label_agreement":null},{"id":"W2105634659","doi":"10.1890/08-0439.1","title":"Diversity has stronger top‐down than bottom‐up effects on decomposition","year":2009,"lang":"en","type":"review","venue":"Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":233,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Detritivore; Trophic level; Ecology; Detritus; Herbivore; Diversity (politics); Biodiversity; Resource consumption; Biology","score_opus":0.10299206569152092,"score_gpt":0.26461754229808215,"score_spread":0.16162547660656124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105634659","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019138439,0.96661913,0.00010800427,0.00022395901,0.002479694,0.0010054073,0.00013076485,0.000057212776,0.010237375],"genre_scores_gemma":[0.021269603,0.975342,0.00012650821,0.00035483888,0.00035047648,0.00007007858,0.0003480089,0.00003757878,0.002100922],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824786,0.000085445085,0.0006166978,0.00066387514,0.000027230155,0.0003588929],"domain_scores_gemma":[0.9987288,0.00018825766,0.00061530166,0.0003725455,0.0000040482873,0.000091038004],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00038888448,0.00034238806,0.0013981271,0.0002776449,0.0004658701,0.000035771893,0.00030308726,0.00052643253,0.0010653696],"category_scores_gemma":[0.000028171262,0.0003939553,0.00041537426,0.00007853763,0.00006103311,0.00012877712,0.00027920096,0.00038305845,0.007549623],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027907223,0.00047547548,0.042472843,0.0023209136,0.0006061822,0.000032685195,0.00037040078,0.0000485605,1.8433705e-7,0.026384357,0.014291019,0.91296947],"study_design_scores_gemma":[0.00059734914,0.00052286027,0.08206586,0.0003457556,0.00016667685,0.000011631172,0.0000048858938,0.000029431914,0.0000019318607,0.0047733677,0.91088855,0.0005916826],"about_ca_topic_score_codex":0.000049871778,"about_ca_topic_score_gemma":0.000027903841,"teacher_disagreement_score":0.9123778,"about_ca_system_score_codex":0.00086388487,"about_ca_system_score_gemma":0.000032318083,"threshold_uncertainty_score":0.9998512},"labels":[],"label_agreement":null},{"id":"W2105717803","doi":"10.1016/j.jenvman.2011.09.008","title":"Alternative approaches to dealing with respondent uncertainty in contingent valuation: A comparative analysis","year":2011,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Respondent; Contingent valuation; Willingness to pay; Certainty; Payment card; Econometrics; Valuation (finance); Payment; Actuarial science; Point estimation; Computer science; Economics; Statistics; Mathematics; Microeconomics","score_opus":0.33914673522030436,"score_gpt":0.24037698874268928,"score_spread":0.09876974647761508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105717803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97060084,0.00025220512,0.017235558,0.00009145616,0.00006680196,0.00032975647,0.000016980206,0.0000025473344,0.011403836],"genre_scores_gemma":[0.9927353,0.00008509354,0.006774892,0.000091456066,0.00002377157,0.000021683725,0.000005927024,0.00000867993,0.0002531853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867135,0.000034118108,0.00075846224,0.000264549,0.000104147,0.0001673698],"domain_scores_gemma":[0.9990779,0.000017482012,0.00065288704,0.00016262152,0.0000026647654,0.00008641774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009098966,0.00014361428,0.00040642906,0.0005628308,0.00004198359,0.000020824013,0.00018550032,0.000026492187,0.00067756977],"category_scores_gemma":[0.000002327644,0.00014078828,0.00012120851,0.0001799912,0.000046643698,0.00021129561,0.000080584134,0.00009747873,0.00011990652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047846156,0.000715523,0.6336819,0.000011393732,0.0021070144,0.000045848414,0.010188455,0.2940195,0.000015422329,0.05663443,0.000016179358,0.0020859076],"study_design_scores_gemma":[0.0012674754,0.00039936803,0.9823464,0.00002300238,0.00017756167,0.000006859285,0.0037151983,0.0054320344,0.00012052258,0.005914995,0.00037238584,0.00022419739],"about_ca_topic_score_codex":0.000067254376,"about_ca_topic_score_gemma":0.000046512407,"teacher_disagreement_score":0.34866452,"about_ca_system_score_codex":0.0005796758,"about_ca_system_score_gemma":0.0000024052767,"threshold_uncertainty_score":0.7418914},"labels":[],"label_agreement":null},{"id":"W2106200993","doi":"10.1080/14634988.2012.659142","title":"Environmental rejuvenation of the Gulf by compensation and restoration","year":2012,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Kuwait Institute for Scientific Research","keywords":"Interim; Ecosystem; Marine ecosystem; Ecosystem services; Environmental science; Environmental restoration; Environmental resource management; Resource (disambiguation); Environmental protection; Ecology; Geography","score_opus":0.051116395619130006,"score_gpt":0.21696409722386475,"score_spread":0.16584770160473475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106200993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881603,0.0021771856,0.0042901873,0.0016151306,0.00040378046,0.0008625606,0.00006279069,0.000010390115,0.0024176866],"genre_scores_gemma":[0.99857104,0.00036343827,0.00030372187,0.00031812588,0.000029079383,0.000044082102,0.00004942246,0.0000115280445,0.00030953987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887496,0.000062267936,0.0006682332,0.00015492915,0.00006049676,0.00017913539],"domain_scores_gemma":[0.9990172,0.000024014224,0.0006642105,0.00023658622,0.0000012292801,0.000056764802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011999388,0.000091343754,0.00019587272,0.00006174125,0.00013022653,0.000013474808,0.00008556036,0.00003529135,0.00008490429],"category_scores_gemma":[0.00000761477,0.00009075091,0.000034435554,0.000055123357,0.00002284992,0.0002453024,0.00005786211,0.000043160486,0.00019203762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007717092,0.0002472035,0.8633941,0.00039760614,0.00007880791,4.5986003e-8,0.0022584416,0.00019759682,0.000049428323,0.116780385,0.0053198636,0.011268799],"study_design_scores_gemma":[0.00068664947,0.00006055834,0.9684117,0.000057030782,0.0000141639175,0.0000016603381,0.0009651271,0.0063730525,0.00006792097,0.0031944057,0.01999698,0.00017074379],"about_ca_topic_score_codex":0.00011936882,"about_ca_topic_score_gemma":0.00003161702,"teacher_disagreement_score":0.11358598,"about_ca_system_score_codex":0.0004388196,"about_ca_system_score_gemma":0.0000034096777,"threshold_uncertainty_score":0.37007144},"labels":[],"label_agreement":null},{"id":"W2106360264","doi":"10.5751/es-00306-050211","title":"The Adaptive Decision-Making Process as a Tool for Integrated Natural Resource Management: Focus, Attitudes, and Approach","year":2002,"lang":"en","type":"article","venue":"Conservation Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Natural resource management; Process (computing); Natural resource; Management science; Focus (optics); Process management; Resource management (computing); Environmental resource management; Ecosystem management; Resource (disambiguation); Adaptive management; Computer science; Knowledge management; Business; Engineering; Environmental science; Ecology","score_opus":0.0552682853671002,"score_gpt":0.23817880298616376,"score_spread":0.18291051761906357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106360264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586755,0.0021361457,0.021316133,0.0019628094,0.00026207254,0.0012146014,0.000035093602,0.000041979783,0.0143556325],"genre_scores_gemma":[0.9932381,0.00016534406,0.0039467476,0.00091722276,0.000026650736,0.00025414876,0.000020819836,0.0000139593985,0.0014170316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99908507,0.000017878421,0.00037462544,0.00031900796,0.000019902092,0.00018350904],"domain_scores_gemma":[0.99922407,0.00035428812,0.00023349805,0.00014978423,0.0000179338,0.000020420814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044001252,0.000104771265,0.00016852269,0.00007570841,0.00031266155,0.000060258477,0.00013853433,0.000078653524,0.00012588347],"category_scores_gemma":[0.00016581267,0.00009896863,0.00003761561,0.00009270794,0.000102626516,0.00017965597,0.00004672224,0.00008729009,0.00010640681],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018299748,0.00015360076,0.4295345,0.000052269745,0.0002090792,0.0000015641015,0.00074184017,0.000537536,0.0000015024149,0.49445516,0.008870835,0.065259136],"study_design_scores_gemma":[0.0014657123,0.00015724011,0.65608585,0.00002360457,0.000019730547,0.000014535993,0.00081008393,0.20215903,0.0000043874684,0.095389776,0.04355454,0.00031548188],"about_ca_topic_score_codex":0.000009940844,"about_ca_topic_score_gemma":0.000043723474,"teacher_disagreement_score":0.39906538,"about_ca_system_score_codex":0.00011930716,"about_ca_system_score_gemma":0.000004766976,"threshold_uncertainty_score":0.40358236},"labels":[],"label_agreement":null},{"id":"W2106687504","doi":"10.1093/icesjms/fsp224","title":"Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from the Northwest Atlantic","year":2009,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Memorial University of Newfoundland","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Eli Lilly and Company","keywords":"Geographically Weighted Regression; Logistic regression; Shrimp; Spatial analysis; Geography; Spatial heterogeneity; Spatial ecology; Shore; Coastal zone; Spatial variability; Fishery; Oceanography; Environmental science; Ecology; Statistics; Geology; Mathematics; Biology","score_opus":0.36200917311594066,"score_gpt":0.27770846105286473,"score_spread":0.08430071206307593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106687504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99666476,0.00005422796,0.002664063,0.00012087636,0.00026111494,0.000056150642,0.00006358038,0.0000023788511,0.000112846865],"genre_scores_gemma":[0.99466175,0.00031143756,0.00479429,0.00004377378,0.00010250073,3.4221455e-7,0.00007930627,0.0000041287353,0.0000024456147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987919,0.00003515682,0.0006486467,0.00025715423,0.000124868,0.00014227912],"domain_scores_gemma":[0.99839544,0.00013291901,0.0009388996,0.00040698212,0.00005713804,0.000068595335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002658524,0.00008686664,0.00023425516,0.00012524231,0.00019745898,0.00009560427,0.00085563306,0.000023170895,0.00013208673],"category_scores_gemma":[0.000101236794,0.00006887649,0.000036478057,0.00026234388,0.0002381039,0.00238894,0.00023859029,0.000120386256,0.000002795185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031989293,0.00005764001,0.9930959,0.0000015745999,0.000008012053,0.0000010135603,0.0003260568,0.00028070775,0.00019949333,0.00009680159,0.000004881389,0.0058959355],"study_design_scores_gemma":[0.00027694093,0.00010304976,0.977717,0.000019256095,0.000007246138,0.000003914865,0.00011122369,0.019285126,0.000083265906,0.0022562316,0.000055659333,0.00008112087],"about_ca_topic_score_codex":0.05456122,"about_ca_topic_score_gemma":0.0047031557,"teacher_disagreement_score":0.049858063,"about_ca_system_score_codex":0.000045126482,"about_ca_system_score_gemma":0.0000481567,"threshold_uncertainty_score":0.95173454},"labels":[],"label_agreement":null},{"id":"W2106767165","doi":"10.1109/icsmc.1991.169972","title":"Coalition formation metrics for decision making","year":2002,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Metric (unit); Similarity (geometry); Computer science; Value (mathematics); Operations research; Metric system; Mathematical economics; Data mining; Theoretical computer science; Management science; Mathematics; Artificial intelligence; Machine learning; Marketing; Engineering","score_opus":0.22074485245868922,"score_gpt":0.24424255264126724,"score_spread":0.02349770018257802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106767165","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1127814,0.00048847037,0.84091294,0.00022504902,0.0002571624,0.0002718059,0.000051761534,0.00003353006,0.04497787],"genre_scores_gemma":[0.976977,0.00014933776,0.021467406,0.00033779835,0.000053250948,0.00003683741,0.000022223214,0.000010604702,0.0009455527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930304,0.0000030321535,0.00038091405,0.00016818593,0.000018284878,0.0001265281],"domain_scores_gemma":[0.9995887,0.00009839722,0.00016305316,0.000119929,0.0000064783744,0.000023434462],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033185998,0.00006494124,0.000121934296,0.00015684978,0.00008790936,0.000041182087,0.000064726264,0.000055505596,0.0026468716],"category_scores_gemma":[0.000108415414,0.00007682735,0.00006715861,0.00008937898,0.000009887231,0.00048231403,0.000016348527,0.000027817157,0.0017364499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002163485,0.00018736973,0.074617766,0.00005132365,0.00003214211,3.0028852e-7,0.00051474536,0.0015600756,0.000028433815,0.7608562,0.048840515,0.11328945],"study_design_scores_gemma":[0.0010943158,0.00013000422,0.050252028,0.0000235561,0.000009167455,0.0000049721634,0.0001618561,0.7080307,0.0001787683,0.16893956,0.07079135,0.0003837119],"about_ca_topic_score_codex":0.000005337478,"about_ca_topic_score_gemma":0.00000380508,"teacher_disagreement_score":0.8641956,"about_ca_system_score_codex":0.00016230904,"about_ca_system_score_gemma":5.4870037e-7,"threshold_uncertainty_score":0.99904084},"labels":[],"label_agreement":null},{"id":"W2107026786","doi":"10.5430/ijba.v5n6p1","title":"Modeling Different Scenarios for Forecasting Human Resources Requirements in Taiwan’s Recreational Farms","year":2014,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recreation; Business; Agriculture; Tourism; Rural area; Destinations; Human resources; Marketing; Environmental resource management; Environmental planning; Environmental economics; Geography; Economics","score_opus":0.18489987523627519,"score_gpt":0.28317065051466606,"score_spread":0.09827077527839087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107026786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88034844,0.000044846554,0.11710898,0.001203124,0.00052733877,0.00011410842,0.00001920584,0.0000040268887,0.00062992284],"genre_scores_gemma":[0.9976782,0.000020290861,0.001544038,0.00008140978,0.00047865044,0.000015204329,0.000089994515,0.000013765868,0.00007843013],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859625,0.000014658347,0.0010041007,0.00016952721,0.000101050486,0.00011441075],"domain_scores_gemma":[0.9990295,0.000031553805,0.00069179665,0.00007080742,0.00013825673,0.0000380739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007049247,0.000104508654,0.00021975901,0.00027120003,0.000063642685,0.00009959838,0.00020385669,0.00005937215,0.000086304055],"category_scores_gemma":[0.00022192825,0.000113599905,0.00007948927,0.0000508734,0.000020947928,0.00047621597,0.000023111304,0.000078825535,0.000006586441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004248744,0.0006974447,0.5954265,0.00006278675,0.00019803736,0.0000071722907,0.0010605339,0.3148773,0.0014264507,0.07551113,0.00011367946,0.010194058],"study_design_scores_gemma":[0.0031453606,0.00028587965,0.25427115,0.00023038231,0.000015149711,0.000037786333,0.00022711974,0.68214345,0.00018598238,0.058110338,0.0010537658,0.00029364732],"about_ca_topic_score_codex":0.00002602946,"about_ca_topic_score_gemma":0.0000695582,"teacher_disagreement_score":0.36726615,"about_ca_system_score_codex":0.00029093068,"about_ca_system_score_gemma":0.00002064963,"threshold_uncertainty_score":0.46324697},"labels":[],"label_agreement":null},{"id":"W2107072358","doi":"10.1111/j.1524-4733.2008.00371.x","title":"A Study on Indirect and Intangible Costs for Patients with Knee Osteoarthritis in Singapore","year":2008,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Indirect costs; Human capital; Earnings; Willingness to pay; Medicine; Business; Economics; Finance; Accounting","score_opus":0.10239179691380541,"score_gpt":0.23705208760399138,"score_spread":0.13466029069018598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107072358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997707,0.00029159072,0.000013612372,0.00011935987,0.0000757554,0.0011449471,0.000053226962,0.000007034985,0.0005874838],"genre_scores_gemma":[0.9992669,0.00009423961,0.0002888649,0.0001550764,0.000013726514,0.00010283111,0.000022095433,0.000015610738,0.00004062745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990609,0.000028154904,0.00040563574,0.00028577264,0.00002461904,0.0001949055],"domain_scores_gemma":[0.9996153,0.00006383909,0.00015727096,0.00011262594,0.000003039169,0.000047908045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042865006,0.000088779096,0.00026161267,0.00021270254,0.0000707518,0.000008881269,0.0000376973,0.000035782035,0.000010428188],"category_scores_gemma":[0.000030033654,0.000100275,0.000014561352,0.00010522695,0.000025765958,0.00011356553,0.000015301752,0.0000795901,0.000022877226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004514902,0.00034185412,0.99413055,0.000012132797,0.000003617388,0.0000016281041,0.001762572,0.0004925434,4.067241e-8,0.0007311974,0.00001946917,0.0024592257],"study_design_scores_gemma":[0.003511439,0.002597068,0.9922806,0.000044994842,5.3370525e-7,0.0000012270718,0.00027297542,0.0003386978,0.0000012989934,0.00066233944,0.00018242774,0.00010642147],"about_ca_topic_score_codex":0.0013302793,"about_ca_topic_score_gemma":0.0002651252,"teacher_disagreement_score":0.00346629,"about_ca_system_score_codex":0.00041886,"about_ca_system_score_gemma":0.00001932439,"threshold_uncertainty_score":0.40890956},"labels":[],"label_agreement":null},{"id":"W2107714127","doi":"10.1002/hec.1261","title":"Subject variation more than values clarification explains the reliability of willingness to pay estimates","year":2007,"lang":"en","type":"letter","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Contingent valuation; Willingness to pay; Reliability (semiconductor); Criticism; Valuation (finance); Variation (astronomy); Subject (documents); Economics; Value (mathematics); Actuarial science; Psychology; Econometrics; Positive economics; Microeconomics; Statistics; Computer science; Mathematics; Law; Political science; Accounting","score_opus":0.10300358483617769,"score_gpt":0.2721907122895278,"score_spread":0.1691871274533501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107714127","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29609177,0.0008449842,0.016414477,0.67896944,0.002326987,0.0023090637,0.0019731878,0.000078767844,0.0009913195],"genre_scores_gemma":[0.32803553,0.00393442,0.009248947,0.65011704,0.0033983767,0.00043059513,0.0030166958,0.00029450364,0.0015238662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99641234,0.00007310032,0.002031627,0.0008818218,0.000052531697,0.00054857903],"domain_scores_gemma":[0.99634665,0.00038431757,0.0020429464,0.0010815101,0.000034208493,0.00011037187],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003446972,0.0003728264,0.00091235724,0.0002492373,0.0002644821,0.000057083722,0.00050494703,0.00064187223,0.00014641599],"category_scores_gemma":[0.0001670673,0.00034901703,0.0002201223,0.0001433344,0.00014233512,0.00027296063,0.00008883349,0.0008113452,0.00044154393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011976556,0.00032833812,0.48640496,0.001648739,0.00029998305,0.000002413576,0.011941418,0.032575022,0.0000040806976,0.015965164,0.4457194,0.004990727],"study_design_scores_gemma":[0.0004232736,0.0001828359,0.60100853,0.000066646615,0.00002731449,0.000004406351,0.0001706204,0.011377386,0.000044383927,0.021702893,0.3643255,0.00066618493],"about_ca_topic_score_codex":0.0019533345,"about_ca_topic_score_gemma":0.00009224778,"teacher_disagreement_score":0.11460362,"about_ca_system_score_codex":0.001328965,"about_ca_system_score_gemma":0.0001428083,"threshold_uncertainty_score":0.99989617},"labels":[],"label_agreement":null},{"id":"W2107743255","doi":"10.3968/j.sss.1923018420100101.002","title":"The Paradox of Open Space Ballot Initiatives in the American West: A New West-Old West Phenomenon?","year":2010,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"American west; Ballot; Population; Geography; Voting; Political science; Sociology; Demography; Law; Ethnology; Politics","score_opus":0.1699463326126119,"score_gpt":0.3481216643145351,"score_spread":0.1781753317019232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107743255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985433,0.0011297044,0.000013767147,0.0035710954,0.0002779418,0.00023845976,0.000009782306,0.000001957341,0.009324322],"genre_scores_gemma":[0.9967298,0.0022195047,0.0005929761,0.0002945905,0.000029753006,0.000033091925,5.708337e-7,0.000004059243,0.00009563761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890006,0.00004759232,0.0004679255,0.00029707252,0.00004020127,0.00024713125],"domain_scores_gemma":[0.99863946,0.0005207335,0.0005374198,0.0002674443,0.000012627744,0.000022339613],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0031631454,0.000092715076,0.00037426932,0.00009131155,0.0002279458,0.000012715577,0.001096918,0.000030724757,0.000043396132],"category_scores_gemma":[0.0004336498,0.00006839889,0.00003308299,0.0003019316,0.022739097,0.0002808513,0.00038958978,0.00020135184,0.000037935708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011038248,0.00005537812,0.68589836,0.0000040528594,0.000018194321,3.175348e-7,0.05514993,0.00008353046,0.00012563316,0.2581577,0.00009327553,0.00040258907],"study_design_scores_gemma":[0.00026251975,0.000119080534,0.8933446,0.0000055081814,0.0000018255694,6.431446e-7,0.06293493,0.00006322074,0.000024228952,0.04287133,0.00029730742,0.00007481188],"about_ca_topic_score_codex":0.0008225272,"about_ca_topic_score_gemma":0.00076525885,"teacher_disagreement_score":0.21528636,"about_ca_system_score_codex":0.00008304824,"about_ca_system_score_gemma":0.00005020621,"threshold_uncertainty_score":0.97992045},"labels":[],"label_agreement":null},{"id":"W2108139719","doi":"10.1111/j.1744-7976.2009.01154.x","title":"Consumer Response to Information about a Functional Food Product: Apples Enriched with Antioxidants","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Washington State University","keywords":"Product (mathematics); Willingness to pay; Valuation (finance); Consumer information; Health benefits; Food products; Economics; Welfare economics; Business; Marketing; Advertising; Food science; Medicine; Traditional medicine; Biology; Microeconomics","score_opus":0.04089831844108086,"score_gpt":0.15044559824995182,"score_spread":0.10954727980887097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108139719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902735,0.00045926042,0.000184945,0.0059316275,0.000788937,0.00045884054,0.00041555922,0.000011968768,0.001475404],"genre_scores_gemma":[0.99699587,0.00005573217,0.00064662326,0.0013940362,0.000353751,0.000018907043,0.0000905998,0.00001987714,0.00042459532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99740285,0.00002845116,0.0014269442,0.00041066104,0.000013574444,0.0007175472],"domain_scores_gemma":[0.997083,0.000058057743,0.001146204,0.00030107042,0.00011562445,0.0012960302],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008422597,0.00035187506,0.00069731014,0.000711192,0.00025362064,0.00025880404,0.00039413697,0.0001271391,0.00051454554],"category_scores_gemma":[0.00015007438,0.0003433473,0.00019845141,0.00019478932,0.00009173564,0.0018250505,0.000015555679,0.00025732233,0.0005946031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028166457,0.00026864724,0.44159845,0.00013974828,0.001973748,0.00007423434,0.015196171,0.12485904,0.0011942352,0.36368462,0.033527207,0.014667224],"study_design_scores_gemma":[0.0012518932,0.0010082116,0.95217395,0.000035764995,0.000026670836,0.00035759673,0.0007533148,0.000042562835,0.00008533818,0.0025207524,0.041172165,0.000571774],"about_ca_topic_score_codex":0.0031287319,"about_ca_topic_score_gemma":0.091111295,"teacher_disagreement_score":0.5105755,"about_ca_system_score_codex":0.0023202512,"about_ca_system_score_gemma":0.00040869325,"threshold_uncertainty_score":0.99990183},"labels":[],"label_agreement":null},{"id":"W2108380666","doi":"10.22004/ag.econ.20761","title":"Decision Sequence in the Nested-Logit Model of Recreation Choice: An Application to Oregon Marine Sport Fishing (DRAFT)","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nested logit; Mixed logit; Recreation; Econometrics; Sequence (biology); Logistic regression; Fishing; Logit; Nested set model; Economics; Statistics; Computer science; Mathematics; Fishery; Ecology; Data mining","score_opus":0.1445182024757144,"score_gpt":0.25927944030067623,"score_spread":0.11476123782496184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108380666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97681046,0.000016220134,0.019309906,0.0006974048,0.000020206311,0.00034051776,0.000031904798,0.0000063680923,0.0027670437],"genre_scores_gemma":[0.9948352,0.00030433937,0.0042622136,0.00008060881,0.000015079552,0.0000023072116,0.00008906301,0.0000075973358,0.00040356367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999098,0.000022714892,0.00029097582,0.00033183684,0.00007889789,0.00017756563],"domain_scores_gemma":[0.99925643,0.00007212338,0.00020946984,0.0003713903,0.000026069185,0.00006449693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011401338,0.000089578294,0.00022713924,0.00025616554,0.00009227334,0.000015080656,0.00040774912,0.00008475995,0.00029261218],"category_scores_gemma":[0.0000313198,0.000109399036,0.000052150986,0.00029698125,0.00007354584,0.00074446975,0.00010301642,0.00010829442,0.0001250821],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078405385,0.00014997227,0.9166611,0.000017276578,0.000009463508,0.0000035348592,0.002418442,0.03829512,0.0007428097,0.008825752,0.00010036889,0.032697763],"study_design_scores_gemma":[0.00043148256,0.00009899064,0.8532671,0.0000127425365,0.0000050780022,0.0000025996728,0.0012069133,0.14120169,0.00006249409,0.002583019,0.0010088425,0.00011908454],"about_ca_topic_score_codex":0.0056544514,"about_ca_topic_score_gemma":0.0040017297,"teacher_disagreement_score":0.10290657,"about_ca_system_score_codex":0.00017835748,"about_ca_system_score_gemma":0.000018676805,"threshold_uncertainty_score":0.8547877},"labels":[],"label_agreement":null},{"id":"W2108440642","doi":"10.1016/j.tra.2012.01.007","title":"A behavioral housing search model: Two-stage hazard-based and multinomial logit approach to choice-set formation and location selection","year":2012,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; Fleming College; University of Toronto","funders":"","keywords":"Multinomial logistic regression; Choice set; Discrete choice; Set (abstract data type); Selection (genetic algorithm); Aggregate (composite); Logit; Mixed logit; Computer science; Process (computing); Econometrics; Hazard; Operations research; Economics; Logistic regression; Engineering; Machine learning","score_opus":0.4713466619603244,"score_gpt":0.4243994734643794,"score_spread":0.04694718849594498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108440642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94682956,0.00022099055,0.04975587,0.0010972529,0.000024167804,0.000602296,0.000114059425,0.000023629385,0.0013322029],"genre_scores_gemma":[0.99317384,0.00016547482,0.0057863262,0.0002850508,0.00013985265,0.00010661343,0.00016908236,0.00001936365,0.00015439579],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987374,0.00012570516,0.00036358723,0.00030238926,0.000101342244,0.0003695872],"domain_scores_gemma":[0.99921966,0.00025990943,0.00013299932,0.00010733017,0.00006617246,0.00021392721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025190113,0.00011882077,0.00015976398,0.00034969213,0.00034129704,0.0001306477,0.00004624191,0.00009219364,0.000020137993],"category_scores_gemma":[0.00024135823,0.00014466411,0.000017538296,0.0003073735,0.00009837521,0.001802746,0.0000119166925,0.00023027146,0.000033197888],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009788589,0.001062544,0.65458775,0.00056542485,0.00007454674,9.758631e-7,0.02998976,0.17555481,0.0009251678,0.124077775,0.00053579564,0.011646608],"study_design_scores_gemma":[0.0025257473,0.00029325922,0.4534919,0.000026942142,0.000038634233,0.000007031399,0.0021452047,0.52236915,0.00046658205,0.0004854834,0.017688815,0.00046125107],"about_ca_topic_score_codex":0.003996463,"about_ca_topic_score_gemma":0.00036908643,"teacher_disagreement_score":0.34681433,"about_ca_system_score_codex":0.00016332402,"about_ca_system_score_gemma":0.000047558,"threshold_uncertainty_score":0.6041483},"labels":[],"label_agreement":null},{"id":"W2108496580","doi":"10.1614/wt-d-10-00122.1","title":"An Environmental and Economic Perspective on Integrated Weed Management in Iran","year":2013,"lang":"en","type":"article","venue":"Weed Technology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Weed; Weed control; Multinomial logistic regression; Yield (engineering); Agronomy; Business; Mathematics; Biology","score_opus":0.026279530481462223,"score_gpt":0.19952094219489772,"score_spread":0.1732414117134355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108496580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830911,0.00019820982,0.00005899659,0.00088820053,0.00008571403,0.00056677335,0.000028566912,0.00005508609,0.015027343],"genre_scores_gemma":[0.9984638,0.00008299952,0.0005912513,0.00014726301,0.00001398857,0.00029369033,0.000021675838,0.000020187741,0.00036513954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989513,0.0000095196965,0.0003213071,0.00048711945,0.000011900714,0.00021880755],"domain_scores_gemma":[0.99955595,0.00000875689,0.00011406981,0.00027760875,8.3360493e-7,0.00004280859],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012371367,0.0001465213,0.0002352707,0.00051162794,0.000046990197,0.000026939038,0.00016316414,0.00015826272,0.0013502846],"category_scores_gemma":[0.0000032824114,0.0001768821,0.000026459315,0.000056836576,0.00014915738,0.00021496808,0.00006082578,0.00015776377,0.0037440918],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021474725,0.00031807637,0.3409098,0.0000054732045,0.00008654401,0.000005056798,0.00038359314,0.00022556863,0.0023334587,0.63646376,0.00016866687,0.019078493],"study_design_scores_gemma":[0.0012275921,0.000281084,0.875874,0.0000053494414,0.0000044434496,0.000004448128,0.0050385105,0.0041108197,0.00026789244,0.11074907,0.0021457702,0.0002910597],"about_ca_topic_score_codex":0.0017853962,"about_ca_topic_score_gemma":0.00010022424,"teacher_disagreement_score":0.53496414,"about_ca_system_score_codex":0.0007728485,"about_ca_system_score_gemma":0.0000017798319,"threshold_uncertainty_score":0.9995626},"labels":[],"label_agreement":null},{"id":"W2109688020","doi":"10.1111/j.1744-7976.2011.01231.x","title":"Restricted versus Unrestricted Choice in Labeled Choice Experiments: Exploring the Trade‐Offs of Expanding Choice Dimensions","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Great Barrier Reef Marine Park Authority","keywords":"Status quo; Multiple choice; Value (mathematics); Set (abstract data type); Welfare economics; Economics; Humanities; Computer science; Mathematics; Philosophy; Statistics; Significant difference","score_opus":0.21073917557685398,"score_gpt":0.21011093167953532,"score_spread":0.0006282438973186644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109688020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926116,0.0010566105,0.000003975563,0.00066460815,0.0031123871,0.00039478048,0.00018357983,0.0000094735615,0.0019629935],"genre_scores_gemma":[0.9985708,0.000330412,0.0001841569,0.00013534293,0.00048642806,0.000051585725,0.0000425333,0.000043284163,0.00015544097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963112,0.000062538296,0.002182685,0.0005285495,0.00001590397,0.00089915784],"domain_scores_gemma":[0.9964123,0.0004557763,0.0017535817,0.0004399253,0.000058905283,0.0008795625],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005293136,0.00040865343,0.00093768944,0.0007261239,0.0002584284,0.00008474851,0.00085157773,0.00018333101,0.00052203296],"category_scores_gemma":[0.00059928314,0.00038615565,0.0003191458,0.00039290515,0.00018671855,0.0013296787,0.00005251409,0.00048715892,0.000060270748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018074541,0.00019263038,0.9394941,0.000059250466,0.00082443946,0.00003664841,0.010242076,0.007149621,0.0003971632,0.038454033,0.0017905543,0.0011787617],"study_design_scores_gemma":[0.002553319,0.0003508825,0.9873771,0.0000730704,0.000047665628,0.000029741552,0.0023654785,0.0001371563,0.00040191476,0.00067747076,0.0054698526,0.00051636767],"about_ca_topic_score_codex":0.13310692,"about_ca_topic_score_gemma":0.53357655,"teacher_disagreement_score":0.40046963,"about_ca_system_score_codex":0.0029453903,"about_ca_system_score_gemma":0.0002526989,"threshold_uncertainty_score":0.99985904},"labels":[],"label_agreement":null},{"id":"W2110058119","doi":"10.1002/cjs.10056","title":"Two‐part regression models for longitudinal zero‐inflated count data","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unobservable; Count data; Econometrics; Probit; Negative binomial distribution; Mathematics; Discrete choice; Probit model; Poisson distribution; Parametric statistics; Random effects model; Statistics; Observable; Computer science","score_opus":0.22581122218330182,"score_gpt":0.2558393917854186,"score_spread":0.030028169602116767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110058119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35910985,0.0011528641,0.6099654,0.0007896325,0.0045829406,0.00034909372,0.019305687,0.0000069991183,0.00473754],"genre_scores_gemma":[0.96067405,0.00009452479,0.038151115,0.00012106758,0.00025182092,0.0000021066342,0.00031837524,0.000022378366,0.0003645463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896854,0.000005198659,0.0006018824,0.00018067761,0.000029243756,0.00021444788],"domain_scores_gemma":[0.9987415,0.000059366044,0.00052852277,0.0003075212,0.000051368643,0.00031172085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000709418,0.00009703096,0.00023715322,0.00014430644,0.00012736073,0.000068052716,0.00032462506,0.00006831304,0.0006175507],"category_scores_gemma":[0.0001769821,0.00010618067,0.00003452585,0.000038654573,0.00007646964,0.00038490843,0.000018877248,0.00019905325,0.000067220724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036734215,0.000041952633,0.1885997,0.000038356906,0.00014610958,0.00004619596,0.00032114095,0.0067937477,0.0000586672,0.62871003,0.16925779,0.0059495755],"study_design_scores_gemma":[0.002823188,0.0002617727,0.0827111,0.00007406555,0.000082132574,0.00013627578,0.00009574307,0.24521355,0.000047528418,0.45110935,0.2168323,0.0006129965],"about_ca_topic_score_codex":0.0016401804,"about_ca_topic_score_gemma":0.010580116,"teacher_disagreement_score":0.6015642,"about_ca_system_score_codex":0.00014080066,"about_ca_system_score_gemma":0.00021120935,"threshold_uncertainty_score":0.67617464},"labels":[],"label_agreement":null},{"id":"W2110514440","doi":"10.1139/x07-129","title":"On the budget for national environmental objectives and willingness to pay for protection of forest land","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Valuation (finance); Environmental resource management; Biodiversity; Environmental policy; Business; Economics; Natural resource economics; Accounting; Ecology; Microeconomics","score_opus":0.15728186581763984,"score_gpt":0.2673664051208083,"score_spread":0.11008453930316844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110514440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99506515,0.00018157647,0.0022173182,0.0011607093,0.00008861094,0.0005833143,0.00027221505,5.6313337e-7,0.00043052933],"genre_scores_gemma":[0.9990945,0.000048366353,0.0002324724,0.00006609588,0.00011964093,0.000071317554,0.000008002525,0.000011286797,0.00034834398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993063,0.000018868162,0.00029247988,0.0001230621,0.000067394736,0.00019190191],"domain_scores_gemma":[0.9993604,0.00022796796,0.0001459201,0.000069446294,0.000046677855,0.00014960168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462128,0.000058747115,0.0001366459,0.00026187408,0.00029305977,0.000021843081,0.00011950778,0.00004514569,0.00008046818],"category_scores_gemma":[0.00040802732,0.000046668218,0.000060131046,0.00006202715,0.00014054104,0.000107869964,0.000009354939,0.00012287154,0.000010670559],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093409646,0.00002903842,0.96814036,0.00003474052,0.000036034467,8.9989453e-7,0.0005734225,0.0013454566,0.000037968628,0.028244527,0.0011830512,0.00028111305],"study_design_scores_gemma":[0.0004923199,0.000612847,0.9439168,0.000027295144,0.0000013903242,0.0000144253745,0.00011258951,0.0005809584,0.0001449568,0.046748433,0.0072853547,0.00006262577],"about_ca_topic_score_codex":0.0005821591,"about_ca_topic_score_gemma":0.005346133,"teacher_disagreement_score":0.024223534,"about_ca_system_score_codex":0.00032779726,"about_ca_system_score_gemma":0.00014479153,"threshold_uncertainty_score":0.29832676},"labels":[],"label_agreement":null},{"id":"W2110558733","doi":"10.7202/016692ar","title":"Une méta-analyse de l’évaluation économique des dommages sanitaires attribués à la pollution atmosphérique","year":2007,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","score_opus":0.15212526084262784,"score_gpt":0.26903292832433756,"score_spread":0.11690766748170972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110558733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8947857,0.008022155,0.07505128,0.0056917095,0.0009066953,0.0007310475,0.00037956028,0.00010599344,0.014325859],"genre_scores_gemma":[0.9625866,0.005891564,0.013327091,0.0017711413,0.0008167686,0.000097957025,0.00024222121,0.00014387036,0.015122799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946023,0.0004602007,0.002401278,0.001210141,0.000045334673,0.0012807235],"domain_scores_gemma":[0.99633384,0.00092824403,0.0013955798,0.00084699644,0.00006363076,0.00043171327],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008809494,0.0007185605,0.0011932832,0.00033796765,0.00046280204,0.00036803997,0.0005205251,0.0011285802,0.0019796514],"category_scores_gemma":[0.000644847,0.0010098927,0.0006606669,0.00041777457,0.0008445158,0.0016158482,0.0001875736,0.0006674009,0.0016566368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021463416,0.00068743963,0.49973327,0.00025273778,0.0009558413,0.00003686661,0.0070331222,0.023413282,0.0005701199,0.37265858,0.002550955,0.09189314],"study_design_scores_gemma":[0.0018792031,0.0002727219,0.71221244,0.00014271495,0.00021512943,0.00009911649,0.0016402091,0.011170449,0.0035440025,0.20601092,0.061527878,0.0012852229],"about_ca_topic_score_codex":0.014966891,"about_ca_topic_score_gemma":0.0072418097,"teacher_disagreement_score":0.21247914,"about_ca_system_score_codex":0.003972834,"about_ca_system_score_gemma":0.00022670373,"threshold_uncertainty_score":0.99985075},"labels":[],"label_agreement":null},{"id":"W2110849178","doi":"10.7202/602329ar","title":"Économies d’échelle et de gamme dans les Caisses Desjardins","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada; Université de Moncton; Université de Sherbrooke","funders":"","keywords":"Humanities; Physics; Political science; Philosophy","score_opus":0.1357516175098265,"score_gpt":0.2515678410231095,"score_spread":0.11581622351328297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110849178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88722515,0.006104647,0.0072531668,0.013680093,0.00096001365,0.0004041852,0.00044048866,0.00008495207,0.08384732],"genre_scores_gemma":[0.9416104,0.0075734323,0.00475549,0.005887359,0.00055011065,0.000053718974,0.00012308439,0.00007719592,0.03936922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9967372,0.000120122655,0.0013205585,0.0009146475,0.000022033617,0.0008854839],"domain_scores_gemma":[0.99800456,0.0003319675,0.00069194654,0.00067152584,0.0000172303,0.00028275582],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001429779,0.00053788826,0.00089630246,0.00022701199,0.00026880897,0.00027037473,0.00047748667,0.0006082717,0.0029253375],"category_scores_gemma":[0.00020196548,0.00077279867,0.00041867382,0.000112693975,0.00027219916,0.0010053528,0.0001119039,0.00047362523,0.0021828765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003616555,0.00038895902,0.25994074,0.000059394668,0.0001768744,0.000009279153,0.006678111,0.0045354026,0.00026034782,0.7098014,0.0034908855,0.014622441],"study_design_scores_gemma":[0.0013218872,0.00039857865,0.47985417,0.00011501559,0.00006452737,0.00006172661,0.0015653354,0.0042644334,0.0027517085,0.1433736,0.36499283,0.0012362151],"about_ca_topic_score_codex":0.003883354,"about_ca_topic_score_gemma":0.00096189167,"teacher_disagreement_score":0.56642777,"about_ca_system_score_codex":0.0019620487,"about_ca_system_score_gemma":0.00016656205,"threshold_uncertainty_score":0.9994723},"labels":[],"label_agreement":null},{"id":"W2111058671","doi":"10.2308/accr.2004.79.2.329","title":"The Market Valuation of Environmental Capital Expenditures by Pulp and Paper Companies","year":2004,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":534,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"","keywords":"Valuation (finance); Capital expenditure; Business; Valuation effects; Environmental pollution; Capitalization; Natural resource economics; Economics; Finance; Environmental protection","score_opus":0.0403418328998393,"score_gpt":0.20846434802771024,"score_spread":0.16812251512787094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111058671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70681894,0.2888449,0.000052811098,0.0017241316,0.00009414852,0.00032703852,0.000048018315,0.000006378356,0.0020836615],"genre_scores_gemma":[0.89174014,0.10742098,0.000040276176,0.00056401204,0.000030651525,0.000022550743,0.00001478748,0.000009294161,0.00015733103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992564,0.000021079177,0.00041303944,0.00015322209,0.00004004029,0.000116258474],"domain_scores_gemma":[0.9993351,0.000073565054,0.00035595655,0.000218902,0.0000016490425,0.000014793822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011864246,0.000091697395,0.00020044415,0.0000118923,0.00018803112,0.00003563433,0.0001624055,0.000025161035,0.00050588767],"category_scores_gemma":[0.000037877926,0.000064044434,0.00005534416,0.000020477328,0.00013183737,0.00021347412,0.00006476419,0.00006547924,0.00016667001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008054048,0.0007578305,0.50399166,0.0027766123,0.00094094075,0.0000016470719,0.0071794074,0.0006028783,0.004127072,0.2540552,0.06510815,0.16037805],"study_design_scores_gemma":[0.00083800027,0.00006445175,0.8109853,0.00042204547,0.00008228432,0.000014746227,0.00079972093,0.00019403297,0.00026095717,0.0657299,0.12020947,0.00039906864],"about_ca_topic_score_codex":0.00007279215,"about_ca_topic_score_gemma":0.00000736366,"teacher_disagreement_score":0.30699366,"about_ca_system_score_codex":0.00006335329,"about_ca_system_score_gemma":0.0000032137225,"threshold_uncertainty_score":0.5539115},"labels":[],"label_agreement":null},{"id":"W2111248730","doi":"10.1111/j.1541-0064.2000.tb00719.x","title":"Post‐flood assessment of emergency evacuation policies in the Red River basin, Southern Manitoba","year":2000,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry; NOSM University; Simon Fraser University; Lakehead University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Flood myth; Flooding (psychology); Emergency evacuation; Dike; Floodplain; Geography; Drainage basin; Water resource management; Environmental science; Hydrology (agriculture); Engineering; Cartography; Archaeology; Psychology; Meteorology","score_opus":0.027447510891103505,"score_gpt":0.19912640769790352,"score_spread":0.1716788968068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111248730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841095,0.0009403967,0.0000031931352,0.0017319409,0.000282487,0.0003922737,0.00083715544,0.000015135921,0.011687922],"genre_scores_gemma":[0.996668,0.0020925882,0.00009611154,0.00049416116,0.000071170296,0.00007696368,0.00015699219,0.000028757786,0.00031528197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808574,0.00006029186,0.0007755213,0.00040443463,0.00007178252,0.0006022206],"domain_scores_gemma":[0.9989935,0.0000407275,0.00024688657,0.0004796199,0.00003231792,0.00020696141],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005949681,0.00024958665,0.00036757582,0.0019164449,0.00026595104,0.000041606363,0.00045180976,0.00012804584,0.0019447341],"category_scores_gemma":[0.000028650853,0.0002593934,0.00024899477,0.0013448034,0.00038543227,0.00026532976,0.000015678506,0.00015766422,0.0000688945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000495769,0.000038268816,0.972239,0.000016654632,0.00006997889,0.0000041259373,0.0029977718,0.00015375731,0.000005692725,0.021681635,0.00086914597,0.0019189892],"study_design_scores_gemma":[0.00030156443,0.00008806999,0.9700848,0.000012739108,0.00001889319,0.0000045608745,0.007886315,0.00010763913,0.0000020444509,0.013751126,0.007451216,0.0002910544],"about_ca_topic_score_codex":0.79475135,"about_ca_topic_score_gemma":0.9667039,"teacher_disagreement_score":0.17195256,"about_ca_system_score_codex":0.0001645599,"about_ca_system_score_gemma":0.000045251614,"threshold_uncertainty_score":0.9999858},"labels":[],"label_agreement":null},{"id":"W2111596461","doi":"10.1061/(asce)0733-947x(2002)128:3(259)","title":"Jointly Estimated Cross-Sectional Mode Choice Models: Specification and Forecast Performance","year":2002,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Econometrics; Logit; Variance (accounting); Scale (ratio); Mode (computer interface); Estimation; Aggregate (composite); Statistics; Computer science; Cross-sectional data; Economics; Mathematics; Geography","score_opus":0.14888950548772564,"score_gpt":0.2252545135319708,"score_spread":0.07636500804424515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111596461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94761515,0.0005660594,0.051194668,0.000035945533,0.00018572557,0.00004475462,0.0000264537,0.000010309675,0.0003209413],"genre_scores_gemma":[0.995123,0.00059711304,0.0040805233,0.000012026355,0.0000812263,0.0000028394581,0.000015523661,0.000013599891,0.00007412205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99916923,0.0000015543231,0.0005939196,0.00010727266,0.000038081882,0.00008995082],"domain_scores_gemma":[0.9995591,0.000015944452,0.00030218597,0.000053860647,0.000019904053,0.00004898596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017817352,0.000077645236,0.00014192078,0.0001383573,0.000041089348,0.000032825017,0.00005243101,0.00004800661,0.00017464299],"category_scores_gemma":[0.00000886385,0.00009348466,0.00005070315,0.000055925437,0.000014143622,0.00084392756,0.0000013062886,0.00010205161,0.00002102611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038766116,0.000016345637,0.43981943,0.000017436583,0.00001537354,3.8476267e-7,0.00016749364,0.5574775,0.00008601137,0.002063401,0.000011172779,0.00032160644],"study_design_scores_gemma":[0.00023424943,0.000020020238,0.5430948,0.0000082993765,0.0000026650819,0.000006211207,0.000003751209,0.45618004,0.000051409705,0.00020260584,0.00014262031,0.000053333755],"about_ca_topic_score_codex":0.000008725712,"about_ca_topic_score_gemma":0.0000019534066,"teacher_disagreement_score":0.10327536,"about_ca_system_score_codex":0.00008264311,"about_ca_system_score_gemma":0.0000020028724,"threshold_uncertainty_score":0.3812194},"labels":[],"label_agreement":null},{"id":"W2111689891","doi":"10.1111/cjag.12022","title":"Changes in Implicit Prices of Prairie Pothole Habitat","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pothole (geology); Habitat; Quantile regression; Wetland; Agricultural land; Acre; Land use; Agricultural economics; Geography; Value (mathematics); Environmental science; Occupancy; Agriculture; Economics; Ecology; Agroforestry; Econometrics; Mathematics; Statistics; Biology","score_opus":0.045976446404495996,"score_gpt":0.16105748438248882,"score_spread":0.11508103797799282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111689891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866255,0.00075531035,0.000008583342,0.0065431884,0.0008008174,0.0003803015,0.00023432028,0.000004459411,0.004647532],"genre_scores_gemma":[0.9980496,0.00011293797,0.00044800167,0.00033276592,0.0002722245,0.000030903546,0.00003744813,0.000029373126,0.0006867208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997211,0.000019142592,0.0016334441,0.00040125605,0.0000076032748,0.00072758226],"domain_scores_gemma":[0.9971288,0.000081913764,0.0016252666,0.0002705309,0.000066897774,0.0008266032],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000580008,0.0003005648,0.0009303797,0.00068476336,0.000092882445,0.000114306305,0.0005507074,0.0001854763,0.0013288099],"category_scores_gemma":[0.000090579015,0.00031444491,0.00023545987,0.00015330943,0.0001555231,0.0010647041,0.00003206859,0.00025876332,0.00036200412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014669963,0.00005047522,0.8838007,0.00007775637,0.00020357395,0.000012629041,0.0020347286,0.006112985,0.00019425122,0.10158005,0.004461025,0.0014571979],"study_design_scores_gemma":[0.00076608156,0.0002839398,0.97064614,0.000050965537,0.000013705123,0.000105183004,0.0015705803,0.00015311237,0.00016288713,0.018912563,0.0069042756,0.00043055302],"about_ca_topic_score_codex":0.06892031,"about_ca_topic_score_gemma":0.8017242,"teacher_disagreement_score":0.7328039,"about_ca_system_score_codex":0.00192927,"about_ca_system_score_gemma":0.00018900796,"threshold_uncertainty_score":0.99993074},"labels":[],"label_agreement":null},{"id":"W2111928685","doi":"10.1016/j.beproc.2011.08.017","title":"Context-dependent decisions among options varying in a single dimension","year":2011,"lang":"en","type":"article","venue":"Behavioural Processes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Choice set; Preference; Context (archaeology); Dimension (graph theory); Set (abstract data type); Economics; Microeconomics; Econometrics; Mathematics; Computer science; Biology; Combinatorics","score_opus":0.2885578487951364,"score_gpt":0.24150631486111257,"score_spread":0.04705153393402384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111928685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99241966,0.0014481155,0.0007402016,0.000034489298,0.00014417978,0.00020047423,0.000030725474,0.000032479475,0.004949655],"genre_scores_gemma":[0.99861354,0.00016674979,0.0006828664,0.000056010762,0.000013529311,0.000056607725,0.000021296348,0.000019360503,0.0003700148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989346,0.00000863772,0.00048324416,0.00032945033,0.00003273312,0.00021128802],"domain_scores_gemma":[0.9995306,0.000034051314,0.0001758119,0.00018119991,0.000013364241,0.00006497911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002157712,0.00012205953,0.00021825032,0.00015121323,0.00009632526,0.00003267283,0.0001384373,0.00007825891,0.00080439326],"category_scores_gemma":[0.000096310985,0.00013940492,0.00005556992,0.0001360374,0.00005582102,0.0005436225,0.00006449294,0.00010220859,0.00047835783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009520647,0.0002960684,0.99514496,0.0000070905344,0.000007844825,0.000004379187,0.0009588551,0.00008070835,0.00005067615,0.002272175,0.000025843021,0.0011418662],"study_design_scores_gemma":[0.00060751085,0.0000774965,0.98989594,0.000045118777,0.000011202539,0.000005032255,0.00040569346,0.00016580778,0.0011560811,0.0073021827,0.000080236474,0.00024769935],"about_ca_topic_score_codex":0.0014437581,"about_ca_topic_score_gemma":0.00057603576,"teacher_disagreement_score":0.0061938846,"about_ca_system_score_codex":0.00014743528,"about_ca_system_score_gemma":0.000011535563,"threshold_uncertainty_score":0.8807542},"labels":[],"label_agreement":null},{"id":"W2111971722","doi":"10.1017/s174413310999003x","title":"What needs to be done in contingent valuation: have Smith and Sach missed the boat?","year":2009,"lang":"en","type":"letter","venue":"Health Economics Policy and Law","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Valuation (finance); Contingent valuation; Economics; Financial economics; Microeconomics; Finance; Willingness to pay","score_opus":0.17247443194222106,"score_gpt":0.28173465611929677,"score_spread":0.1092602241770757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111971722","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064023286,0.007813257,0.000036842517,0.9205269,0.00040867564,0.0010285923,0.00019743263,0.000015615477,0.005949399],"genre_scores_gemma":[0.04569312,0.019979019,0.00016152803,0.9296212,0.0015451936,0.00010357757,0.00016736439,0.000056744546,0.0026722115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99734294,0.00007717764,0.0012232421,0.0006894587,0.00003261043,0.0006345465],"domain_scores_gemma":[0.9984752,0.00017655107,0.0006823199,0.00046468218,0.000008317037,0.0001929407],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015085716,0.00037546523,0.0008611695,0.00043490424,0.0002919167,0.00039359636,0.00022354264,0.00042464034,0.00006608675],"category_scores_gemma":[0.000033747427,0.00040717737,0.00008923085,0.000101701036,0.00015726242,0.00043251395,0.000105904546,0.000649171,0.00009599453],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007719082,0.00014015987,0.010138995,0.0005041899,0.00020188576,0.0000075276002,0.016988963,0.000838544,6.626639e-7,0.5574623,0.3973229,0.0163167],"study_design_scores_gemma":[0.0007985259,0.00015689658,0.012991299,0.00006632769,0.000008221509,0.0000125732895,0.00040264236,0.00081272406,0.0000022099603,0.026305139,0.95802456,0.00041887857],"about_ca_topic_score_codex":0.005725384,"about_ca_topic_score_gemma":0.0015129462,"teacher_disagreement_score":0.56070167,"about_ca_system_score_codex":0.0007996148,"about_ca_system_score_gemma":0.00012648445,"threshold_uncertainty_score":0.999838},"labels":[],"label_agreement":null},{"id":"W2112192429","doi":"10.1016/j.jval.2013.03.188","title":"Are canadians different from americans in stated preferences for health? valuing EQ-5D-5L health states using discrete choice experiments","year":2013,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"EQ-5D; Anxiety; Discrete choice; Demography; Depression (economics); Medicine; Logistic regression; Dimension (graph theory); Psychology; Gerontology; Statistics; Mathematics; Psychiatry; Economics","score_opus":0.26433970907792953,"score_gpt":0.30935213094279884,"score_spread":0.04501242186486931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112192429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866435,0.0032789845,0.0021984912,0.0047605867,0.00032950492,0.0015547001,0.0011772694,0.000022125872,0.00003484792],"genre_scores_gemma":[0.9925355,0.0014077247,0.0023251148,0.0030246614,0.00006497821,0.00024311186,0.00030549138,0.000045814188,0.000047641366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967103,0.00017007261,0.0015149208,0.00066609064,0.00006240786,0.00087623205],"domain_scores_gemma":[0.9978323,0.00017882447,0.0013396196,0.0002836618,0.000008488165,0.00035708977],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00069351617,0.0002563853,0.0008431971,0.00030738744,0.00019517877,0.00006997101,0.00019774807,0.000068240544,0.00019631325],"category_scores_gemma":[0.00004713271,0.0002950808,0.00006584867,0.00018304218,0.000054790507,0.00030813427,0.00004409764,0.00019595739,0.0000436627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010806533,0.0001259736,0.9621236,0.00014890768,0.000026547516,2.6699414e-7,0.005748574,0.029216474,0.0000049910705,0.0002639081,0.00038930305,0.0019406783],"study_design_scores_gemma":[0.0009975113,0.00022571895,0.8461544,0.00024327761,0.0000012297359,2.4484484e-7,0.002893415,0.14215517,0.000007601755,0.0065473267,0.00049165054,0.0002824886],"about_ca_topic_score_codex":0.8160482,"about_ca_topic_score_gemma":0.043798696,"teacher_disagreement_score":0.7722495,"about_ca_system_score_codex":0.0034551802,"about_ca_system_score_gemma":0.00020454008,"threshold_uncertainty_score":0.9999501},"labels":[],"label_agreement":null},{"id":"W2112368462","doi":"10.1017/s0266462304000923","title":"Eliciting women's preferences in health care: A review of the literature","year":2004,"lang":"en","type":"review","venue":"International Journal of Technology Assessment in Health Care","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Health care; MEDLINE; Inclusion (mineral); Medicine; Preference; Family medicine; Scale (ratio); Public health; Psychology; Gerontology; Nursing; Social psychology; Political science; Statistics","score_opus":0.06125929774048332,"score_gpt":0.3616256485405442,"score_spread":0.30036635080006086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112368462","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011354459,0.99200374,0.00001605904,0.0049802065,0.0008590211,0.0005894389,0.00019471347,0.000005489357,0.00021588278],"genre_scores_gemma":[0.02003241,0.97838116,0.0007041873,0.000660728,0.00006422044,0.000065540655,0.00006459558,0.000018943994,0.000008236377],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99593514,0.00012044328,0.003267933,0.00028019812,0.00013557012,0.00026069893],"domain_scores_gemma":[0.99403864,0.00005905056,0.0055163885,0.0002489684,0.000090345304,0.000046603076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014146292,0.000222224,0.0016097855,0.0010645075,0.000040700994,0.000021274875,0.000969255,0.000269905,0.000071990464],"category_scores_gemma":[0.00014413969,0.0001882743,0.00028416186,0.00045439342,0.0000642381,0.0001477695,0.00016690558,0.0011665435,0.0000052348155],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005513154,0.0001415006,0.015229299,0.1166627,0.00017291187,0.000013036992,0.002278247,0.000112702764,1.4900053e-8,0.022358008,0.00008706778,0.842939],"study_design_scores_gemma":[0.00089482474,0.0003858864,0.0034534896,0.47887126,0.000014553678,0.00013019555,0.0032984752,0.0000027751726,3.207664e-7,0.009262894,0.50337803,0.00030729096],"about_ca_topic_score_codex":0.00009349176,"about_ca_topic_score_gemma":0.00003692617,"teacher_disagreement_score":0.8426317,"about_ca_system_score_codex":0.007892174,"about_ca_system_score_gemma":0.001143211,"threshold_uncertainty_score":0.99591637},"labels":[],"label_agreement":null},{"id":"W2112538866","doi":"10.1080/02770900802126990","title":"An Evaluation of Patients' Willingness to Trade Symptom-Free Days for Asthma-Related Treatment Risks: A Discrete Choice Experiment","year":2008,"lang":"en","type":"article","venue":"Journal of Asthma","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care; Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Medicine; Asthma; Willingness to pay; Adverse effect; Mixed logit; Gee; Logistic regression; Discrete choice; Thrush; Wheeze; Demography; Generalized estimating equation; Internal medicine; Econometrics","score_opus":0.11462584068876716,"score_gpt":0.28917343833534853,"score_spread":0.17454759764658137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112538866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99507505,0.0006114709,0.0027524182,0.00023662331,0.00037174494,0.0005345979,0.00014004369,0.0000050212893,0.00027305153],"genre_scores_gemma":[0.99777675,0.00012774143,0.0017542858,0.000042643525,0.00014486295,0.000043192544,0.000040049683,0.000025392075,0.000045064146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830186,0.000044947887,0.0010998929,0.00023583203,0.00013367865,0.00018381012],"domain_scores_gemma":[0.9983966,0.000052463736,0.0010614634,0.00029146846,0.000059114216,0.00013892463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009029462,0.0001618469,0.00044745315,0.0001746494,0.00009641639,0.000017054885,0.00021507984,0.00008047749,0.00019948778],"category_scores_gemma":[0.00010204947,0.0001604673,0.00021208177,0.000086984655,0.00003810488,0.00042721716,0.000019424468,0.0000630803,0.000019827106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045382895,0.0029538227,0.8647598,0.000032817577,0.000629648,0.0000023705957,0.01288784,0.08702055,0.0010546517,0.0030686893,0.0009076663,0.026228316],"study_design_scores_gemma":[0.005970784,0.0034487064,0.9703353,0.000026574144,0.000040536746,0.0000073830547,0.00025948323,0.014428756,0.0020954078,0.001228627,0.001930723,0.00022770786],"about_ca_topic_score_codex":0.000058224057,"about_ca_topic_score_gemma":0.000007922262,"teacher_disagreement_score":0.10557552,"about_ca_system_score_codex":0.0006528537,"about_ca_system_score_gemma":0.000040270188,"threshold_uncertainty_score":0.6543667},"labels":[],"label_agreement":null},{"id":"W2112878670","doi":"","title":"Regional Population Size and the Cost of Municipal Environmental Protection Services: Empirical Evidence from Ontario","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Per capita; Metropolitan area; Megacity; Context (archaeology); Population; Government (linguistics); Local government; Public economics; Business; Economics; Economic growth; Public administration; Economy; Geography; Political science","score_opus":0.2140862848428973,"score_gpt":0.22569231944675108,"score_spread":0.011606034603853788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112878670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548614,0.0016587302,0.00010922179,0.0022481282,0.00012744476,0.0001378359,0.000014214436,8.8510285e-7,0.00021740243],"genre_scores_gemma":[0.99897385,0.00021459846,0.00024681658,0.000345944,0.000060909562,0.0000035603189,0.0000019093832,0.000004137669,0.00014827962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991036,0.000023473787,0.0004339553,0.00018154414,0.000101339894,0.00015609566],"domain_scores_gemma":[0.999045,0.00009826396,0.00050842506,0.00013190862,0.000011955746,0.00020443792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008053996,0.00007656947,0.00018217602,0.00011505735,0.00022996098,0.000048536083,0.00027884674,0.000044838915,0.0006615918],"category_scores_gemma":[0.00006041764,0.00006642401,0.00006467242,0.00010454452,0.0007324805,0.0006302924,0.000020576155,0.00014315815,0.00002508952],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003116574,0.000016244632,0.99151087,0.0000036580386,0.000015856482,0.0000020418963,0.005011241,0.0008742445,0.00006604118,0.001605715,0.000099735786,0.00076319283],"study_design_scores_gemma":[0.00048652964,0.000050169023,0.985611,0.00004729251,0.0000073349397,0.00004414153,0.00026228215,0.005613812,0.0000076872675,0.0044545704,0.0033356214,0.00007955096],"about_ca_topic_score_codex":0.18451779,"about_ca_topic_score_gemma":0.110863775,"teacher_disagreement_score":0.07365402,"about_ca_system_score_codex":0.0007219388,"about_ca_system_score_gemma":0.00007751027,"threshold_uncertainty_score":0.90536064},"labels":[],"label_agreement":null},{"id":"W2113123088","doi":"10.1016/j.eneco.2016.03.025","title":"Estimating the willingness to pay for reliable electricity supply: A choice experiment study","year":2016,"lang":"en","type":"article","venue":"Energy Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Willingness to pay; Lira; Electricity; Economics; Mains electricity; Agricultural economics; Investment (military); Mixed logit; Econometrics; Statistics; Logistic regression; Mathematics; Power (physics); Finance; Engineering; Microeconomics","score_opus":0.05562875797101901,"score_gpt":0.23070030624903626,"score_spread":0.17507154827801724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113123088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93236244,0.0001301756,0.06364911,0.0014522532,0.0007514493,0.000496255,0.000059551017,0.00003220972,0.0010665512],"genre_scores_gemma":[0.99309194,0.000046876787,0.0025627469,0.00058043655,0.00038675877,0.0006300151,0.000010179904,0.000046046745,0.0026450113],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998397,0.000013891349,0.0006500346,0.00055843074,0.000017105194,0.00036352806],"domain_scores_gemma":[0.9989372,0.00019094694,0.00030304387,0.00046462414,0.00001055689,0.00009361731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068393466,0.0001911528,0.00033062426,0.0000741249,0.00024475539,0.0000751013,0.0003316869,0.0000636256,0.00022161625],"category_scores_gemma":[0.00008879642,0.00013755939,0.00010276827,0.00006837539,0.000026402375,0.00025229665,0.00009426104,0.000048602575,0.00016816097],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000448428,0.00031212505,0.91601753,0.000005636999,0.00013125928,2.5241332e-7,0.0006739737,0.015473353,0.000094627365,0.056068175,0.0017334076,0.009444843],"study_design_scores_gemma":[0.0072211986,0.0017053764,0.28156102,0.00004937962,0.00006172871,0.000006102086,0.0007632943,0.20370778,0.0079498235,0.10797384,0.38680363,0.0021968351],"about_ca_topic_score_codex":0.0005792429,"about_ca_topic_score_gemma":0.00020101281,"teacher_disagreement_score":0.63445646,"about_ca_system_score_codex":0.0004948639,"about_ca_system_score_gemma":0.000016996299,"threshold_uncertainty_score":0.5609509},"labels":[],"label_agreement":null},{"id":"W2113722549","doi":"10.1016/j.trb.2007.09.003","title":"The estimation of generalized extreme value models from choice-based samples","year":2007,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Estimator; Multinomial logistic regression; Mathematics; Context (archaeology); Econometrics; Maximum likelihood; Multinomial distribution; Statistics","score_opus":0.8159614124106883,"score_gpt":0.43526313664672794,"score_spread":0.38069827576396037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113722549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5598116,0.0004145361,0.43847397,0.00033231548,0.0000791747,0.00021994376,0.000106732616,0.000015264428,0.00054648763],"genre_scores_gemma":[0.906177,0.0002167275,0.093033165,0.00007305344,0.00006609307,0.00005025604,0.00026899256,0.000012651237,0.00010208513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99790066,0.0003461422,0.00090243504,0.0003611263,0.00015129468,0.00033834018],"domain_scores_gemma":[0.9952306,0.0040947204,0.0002665764,0.0002782693,0.000039312145,0.00009052333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010844025,0.000109576955,0.00030107613,0.000121249446,0.00023265758,0.00002913573,0.00022862757,0.00013811233,0.0006011],"category_scores_gemma":[0.0005863328,0.000092430826,0.000122752,0.00018835973,0.0002773022,0.00016629936,0.000007760035,0.00021321229,0.000071941206],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027950163,0.0001612878,0.18111843,0.000020536918,0.000064393666,0.0000020145915,0.00043180428,0.21338746,0.00082335615,0.5947091,0.0003127502,0.0086893765],"study_design_scores_gemma":[0.00060872734,0.00007225192,0.6796184,0.0000080779955,0.0000063243046,5.0356405e-8,0.00008552841,0.0645226,0.0019829632,0.25057712,0.002408885,0.00010905189],"about_ca_topic_score_codex":0.001590055,"about_ca_topic_score_gemma":0.00031822303,"teacher_disagreement_score":0.49850002,"about_ca_system_score_codex":0.00009089072,"about_ca_system_score_gemma":0.000020590916,"threshold_uncertainty_score":0.6581623},"labels":[],"label_agreement":null},{"id":"W2113952510","doi":"10.1146/annurev-environ-042511-150526","title":"Payments for Environmental Services: Evolution Toward Efficient and Fair Incentives for Multifunctional Landscapes","year":2012,"lang":"en","type":"article","venue":"Annual Review of Environment and Resources","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"Consortium of International Agricultural Research Centers; World Agroforestry Centre","keywords":"Ecosystem services; Public economics; Incentive; Payment for ecosystem services; Business; Environmental stewardship; Stewardship (theology); Payment; Government (linguistics); Environmental resource management; Commodification; Economics; Natural resource economics; Finance; Politics; Microeconomics; Political science; Market economy","score_opus":0.028017876285477836,"score_gpt":0.2112600657274132,"score_spread":0.18324218944193538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113952510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8194772,0.1763287,0.0020648248,0.00019220596,0.00009729244,0.00080795126,0.0007617349,0.000005884372,0.00026422803],"genre_scores_gemma":[0.9616318,0.036766063,0.0007851538,0.00016497035,0.000092053655,0.00013416885,0.00015396312,0.0000142750105,0.00025760074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990536,0.000013740994,0.0004238676,0.00026308905,0.000045369492,0.0002003279],"domain_scores_gemma":[0.99946666,0.0000637235,0.00029417,0.0000962423,0.0000020130258,0.00007719039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005182221,0.00014163187,0.0002971208,0.000046018726,0.00010656549,0.000008573669,0.000060520633,0.00005608056,0.000121204364],"category_scores_gemma":[0.000010980739,0.00013340035,0.00009294215,0.000014622272,0.00008969833,0.00017459119,0.00007039791,0.00003311054,0.00002483908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010353157,0.00058567117,0.9714564,0.004803378,0.00020224236,6.154019e-8,0.003427482,0.00015811887,0.00021763616,0.0053800517,0.00031340562,0.013352036],"study_design_scores_gemma":[0.0013794522,0.000245849,0.7389086,0.0004125967,0.00008380782,0.0000022465292,0.001814387,0.00164126,0.00007515864,0.0005197865,0.25459027,0.00032660746],"about_ca_topic_score_codex":0.0000074326376,"about_ca_topic_score_gemma":3.1444864e-7,"teacher_disagreement_score":0.25427687,"about_ca_system_score_codex":0.00006605426,"about_ca_system_score_gemma":0.0000011592124,"threshold_uncertainty_score":0.54399085},"labels":[],"label_agreement":null},{"id":"W2113990703","doi":"10.1136/bmjopen-2012-001560","title":"Public perceptions of coronary events risk factors: a discrete choice experiment","year":2012,"lang":"en","type":"article","venue":"BMJ Open","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Multinomial logistic regression; Perception; Risk perception; Public health; Risk factor; Logistic regression; Demography; Promotion (chess); Coronary heart disease; Environmental health; Gerontology; Internal medicine; Psychology; Nursing","score_opus":0.3195816257358146,"score_gpt":0.3480718996477601,"score_spread":0.028490273911945474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113990703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808924,0.00017517051,0.000521369,0.00013207467,0.00022621213,0.0013454725,0.00019506247,0.000007646008,0.016504591],"genre_scores_gemma":[0.99761724,0.00006681278,0.000561111,0.000049767328,0.00007339281,0.00032701096,0.00008802911,0.000016470241,0.0012001463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990741,0.000031246156,0.0004570533,0.00019400753,0.000031155992,0.00021245585],"domain_scores_gemma":[0.99913406,0.000032425683,0.00039357462,0.0003336472,0.0000044298,0.00010184915],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00051796506,0.00010195948,0.00024695465,0.000060575225,0.00009641621,0.00003159908,0.00029672598,0.000053015556,0.0048667104],"category_scores_gemma":[0.000059603444,0.0001098635,0.000081016624,0.000049778435,0.000034583732,0.00091169105,0.00028726552,0.00005994679,0.0011092438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052411106,0.00013160762,0.9942602,0.0000049512673,0.000038181064,2.6344077e-8,0.0008772827,0.000031348056,0.000022247015,0.0040239794,0.00042341094,0.00018154303],"study_design_scores_gemma":[0.00040572218,0.000045032244,0.99451387,0.000007237679,0.000005783152,7.611539e-7,0.00067469716,0.00019111429,0.000046519675,0.0009694376,0.0029887564,0.00015106682],"about_ca_topic_score_codex":0.000906483,"about_ca_topic_score_gemma":0.000018480314,"teacher_disagreement_score":0.016724858,"about_ca_system_score_codex":0.00015957552,"about_ca_system_score_gemma":0.000009995689,"threshold_uncertainty_score":0.9996685},"labels":[],"label_agreement":null},{"id":"W2114044277","doi":"10.1111/j.1755-263x.2012.00309.x","title":"Payments for ecosystem services and the fatal attraction of win‐win solutions","year":2012,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":554,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche; Natural Environment Research Council; Sight Research UK","keywords":"Payment; Ecosystem services; Corporate governance; Face (sociological concept); Business; Public economics; Policy development; Environmental resource management; Economics; Environmental planning; Ecosystem; Ecology; Finance; Sociology; Economic policy; Geography","score_opus":0.1079685930779388,"score_gpt":0.21388098029655445,"score_spread":0.10591238721861565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114044277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98239416,0.00038055598,0.00949873,0.0067297053,0.00032592504,0.00032767546,0.00010568806,0.000008607346,0.0002289447],"genre_scores_gemma":[0.9972431,0.00004187638,0.0004070762,0.0020197653,0.00008398891,0.00006912096,0.000066036584,0.000007808107,0.00006123677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993876,0.00001684445,0.00033640026,0.000112592774,0.000017996652,0.00012853413],"domain_scores_gemma":[0.99945605,0.00009374532,0.00030628179,0.000112802976,0.0000065293443,0.00002461265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006577767,0.00006398907,0.00014079658,0.00004494507,0.00012026975,0.000018793276,0.00005610096,0.000034381697,0.00004651847],"category_scores_gemma":[0.000015844651,0.00006142147,0.000048840433,0.000035215893,0.000054313598,0.00043932232,0.000020422958,0.000032308584,0.000051902058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039313476,0.000041724677,0.92533547,0.00009453518,0.00007281525,1.8777904e-8,0.0009790785,0.00017435491,0.0010693654,0.0702899,0.0016248417,0.00027859776],"study_design_scores_gemma":[0.001952137,0.000016738086,0.9669319,0.000017541772,0.000026308382,0.0000025088439,0.00038280347,0.011963801,0.00032653584,0.0014953976,0.016736975,0.0001473544],"about_ca_topic_score_codex":0.00014703895,"about_ca_topic_score_gemma":0.00002329423,"teacher_disagreement_score":0.068794504,"about_ca_system_score_codex":0.00005906827,"about_ca_system_score_gemma":0.0000023025768,"threshold_uncertainty_score":0.2504695},"labels":[],"label_agreement":null},{"id":"W2114160863","doi":"10.1111/j.1744-7976.2001.tb00289.x","title":"U.S. Hog Production and the Influence of State Water Quality Regulation","year":2001,"lang":"fr","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.04551150664561126,"score_gpt":0.16832243541749678,"score_spread":0.12281092877188551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114160863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652231,0.0049036276,0.000013937704,0.025500288,0.0029015173,0.00046575116,0.00027395872,0.000003314099,0.00071452005],"genre_scores_gemma":[0.98724174,0.0043069487,0.00011342927,0.00028314517,0.00062557356,0.000011513026,0.000042732026,0.000029325633,0.007345605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99604857,0.00012179408,0.0025232483,0.0005083939,0.000012826146,0.00078516314],"domain_scores_gemma":[0.99635965,0.00012999045,0.0022674669,0.00037826347,0.00015177952,0.00071286346],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002519754,0.00036709497,0.0011011041,0.00034391132,0.0003113125,0.00017230828,0.00043793078,0.00022277332,0.0006567789],"category_scores_gemma":[0.00025656138,0.00030850974,0.00033939042,0.000118606986,0.0009503003,0.0016138726,0.000046095553,0.0003802267,0.000117269454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004311964,0.00007694927,0.41976857,0.0003092567,0.0010676978,0.000019772766,0.016284702,0.38157552,0.00020626083,0.17085476,0.002076415,0.007328896],"study_design_scores_gemma":[0.0015843654,0.00020107625,0.951633,0.0001490513,0.00009060889,0.0005854872,0.0013159513,0.00031314962,0.00017007602,0.025601333,0.017836317,0.0005195833],"about_ca_topic_score_codex":0.083344646,"about_ca_topic_score_gemma":0.5477543,"teacher_disagreement_score":0.5318644,"about_ca_system_score_codex":0.0022165498,"about_ca_system_score_gemma":0.00020366271,"threshold_uncertainty_score":0.9999367},"labels":[],"label_agreement":null},{"id":"W2114461748","doi":"10.1046/j.1523-1739.2000.98390.x","title":"Economic Science, Endangered Species, and Biodiversity Loss","year":2000,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biodiversity; Endangered species; Minke whale; Portfolio; Valuation (finance); Natural resource economics; Rainforest; Ecosystem services; Geography; Economics; Environmental resource management; Ecology; Habitat; Ecosystem; Balaenoptera; Biology; Financial economics; Whale; Finance","score_opus":0.08639160796420087,"score_gpt":0.20994854755141565,"score_spread":0.12355693958721478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114461748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978803,0.00021475823,0.000077215955,0.0018031594,0.0001774388,0.000083560066,0.00015527343,0.000017994007,0.018667594],"genre_scores_gemma":[0.9968602,0.0005357745,0.00021883083,0.00094553264,0.00003777677,0.0000043681557,0.00006305217,0.0000029551375,0.0013314913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927896,0.000008123954,0.0002341093,0.00031647756,0.000007698298,0.00015462482],"domain_scores_gemma":[0.9996863,0.000021360931,0.00009932489,0.00013820147,0.00000464142,0.000050141203],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003370184,0.000072644165,0.00014675768,0.00010877686,0.000171128,0.00003054074,0.000114162474,0.0000612239,0.0059143486],"category_scores_gemma":[0.000014194505,0.000089216395,0.000023468323,0.00006151643,0.00053840055,0.00024031833,0.000037407244,0.000040702747,0.0028830841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005795501,0.000008571001,0.9324143,0.000001360774,0.0000062904633,1.7313425e-7,0.00007730145,0.0000075295084,0.00010036008,0.06525121,0.00082105404,0.0013060834],"study_design_scores_gemma":[0.0003122059,0.00002762681,0.86888707,7.5009456e-7,0.0000016391479,0.0000028963934,0.000019920733,0.0004569957,0.00011643676,0.008887759,0.12118226,0.00010446158],"about_ca_topic_score_codex":0.0003425064,"about_ca_topic_score_gemma":0.000042536256,"teacher_disagreement_score":0.12036121,"about_ca_system_score_codex":0.00016523774,"about_ca_system_score_gemma":0.000019106286,"threshold_uncertainty_score":0.9978933},"labels":[],"label_agreement":null},{"id":"W2114945601","doi":"10.1111/j.1744-7976.2009.01150.x","title":"Consumers' Preferences for GM Food and Voluntary Information Access: A Simultaneous Choice Analysis","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Genome Canada","keywords":"Humanities; Psychology; Combinatorics; Mathematics; Philosophy","score_opus":0.0556990601743836,"score_gpt":0.18230211520160025,"score_spread":0.12660305502721664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114945601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937066,0.00093464606,0.00020791325,0.0021236998,0.0005688575,0.00039206241,0.001050084,0.000007983041,0.0010081837],"genre_scores_gemma":[0.9978513,0.00023724449,0.00042198895,0.0008598654,0.00023556034,0.000014502389,0.00022178974,0.000011356588,0.00014638968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976166,0.000014362076,0.0014210417,0.00035611805,0.000007305418,0.0005845556],"domain_scores_gemma":[0.9972246,0.00018961367,0.0013678969,0.00020472227,0.00008337564,0.00092973444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044237467,0.00029831802,0.00082947867,0.0007653114,0.0002465352,0.00040844284,0.00048028654,0.00017345569,0.0002972378],"category_scores_gemma":[0.00019337884,0.00031361313,0.0003367991,0.00018214108,0.00009785084,0.0024154708,0.000019623782,0.00018912643,0.000041258154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010159496,0.000064903536,0.8165723,0.00012176365,0.0034921302,0.000008248052,0.0042476254,0.070845306,0.000009397784,0.08323818,0.0033573678,0.017941175],"study_design_scores_gemma":[0.001210216,0.0008145999,0.9581251,0.000022863036,0.0002782317,0.00007492828,0.000849912,0.0025208795,0.000019789672,0.01672971,0.018717872,0.0006358725],"about_ca_topic_score_codex":0.018657042,"about_ca_topic_score_gemma":0.4459338,"teacher_disagreement_score":0.42727676,"about_ca_system_score_codex":0.0013151042,"about_ca_system_score_gemma":0.00017462736,"threshold_uncertainty_score":0.9999316},"labels":[],"label_agreement":null},{"id":"W2114998527","doi":"10.7202/011390ar","title":"Le problème des données longitudinales incomplètes : une nouvelle approche","year":2005,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; University of Ottawa","funders":"","keywords":"Humanities; Physics; Art","score_opus":0.15955274548586207,"score_gpt":0.2169533334804764,"score_spread":0.05740058799461434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114998527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9096977,0.017630706,0.008009137,0.021402992,0.000632092,0.00061345706,0.00025691462,0.00008279546,0.04167417],"genre_scores_gemma":[0.94136596,0.004914261,0.021717263,0.0010283017,0.00080097024,0.0001416394,0.00010963547,0.00009449703,0.029827468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968376,0.00007446982,0.0013620623,0.00095070194,0.000027632585,0.0007475055],"domain_scores_gemma":[0.9982734,0.00020832905,0.00070576963,0.00057174877,0.00002507115,0.00021567903],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008911046,0.0004843749,0.00082579796,0.0002120761,0.0004442016,0.00022028366,0.00046789236,0.0004301089,0.001494122],"category_scores_gemma":[0.00009858116,0.0006771867,0.00032340628,0.00019661007,0.00073425943,0.0013636884,0.00024052191,0.00034127574,0.0047524096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037883743,0.0008054542,0.10583659,0.00027110035,0.000303314,0.0000029261457,0.007915563,0.007529495,0.00006872681,0.8465145,0.003019088,0.027695347],"study_design_scores_gemma":[0.0023487962,0.00029782305,0.16454823,0.00022920854,0.00006961363,0.00005615325,0.0032581496,0.013967533,0.002339602,0.1509167,0.66017944,0.001788735],"about_ca_topic_score_codex":0.0032335606,"about_ca_topic_score_gemma":0.0032697266,"teacher_disagreement_score":0.6955978,"about_ca_system_score_codex":0.0008545907,"about_ca_system_score_gemma":0.00011334229,"threshold_uncertainty_score":0.9995679},"labels":[],"label_agreement":null},{"id":"W2115134399","doi":"10.1139/f04-007","title":"Short-term decisions of small-scale fishers selecting alternative target species: a choice model","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; Consejo Nacional de Ciencia y Tecnología; Pew Charitable Trusts","keywords":"Fishing; Fisheries management; Resource (disambiguation); Scale (ratio); Fishery; Selection (genetic algorithm); TRIPS architecture; Revenue; Environmental resource management; Business; Economics; Computer science; Geography; Biology","score_opus":0.12572121405607406,"score_gpt":0.22995882049573305,"score_spread":0.10423760643965899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115134399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827039,0.000493504,0.010872968,0.0007476102,0.00018735134,0.000056813504,0.000020761505,0.0000012308948,0.004915829],"genre_scores_gemma":[0.98954165,0.0001270793,0.010023015,0.000108703745,0.00004874181,0.0000012317079,0.0000010058628,0.0000055365863,0.00014301689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990794,0.0000072574753,0.000515282,0.00015747221,0.000042756423,0.00019785075],"domain_scores_gemma":[0.99930495,0.00007987477,0.0003259648,0.000068919304,0.000013089474,0.00020719429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005692885,0.00008561051,0.00024822113,0.00019394212,0.00021978577,0.00010043879,0.00021989929,0.000035528476,0.0001054776],"category_scores_gemma":[0.000205757,0.00008479496,0.000063578955,0.00014842197,0.00038148707,0.00041907514,0.0000130444105,0.000082607185,0.000003256294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023940577,0.000014516813,0.97598904,0.0000052936807,0.00002623953,0.0000026213993,0.0035432072,0.015571576,0.000033011263,0.0032671057,0.00012703495,0.0014179497],"study_design_scores_gemma":[0.0010226358,0.0006069518,0.7816433,0.00020756453,0.000028209515,0.000058369755,0.0061015636,0.064315066,0.00050122844,0.14368622,0.0013311722,0.0004977434],"about_ca_topic_score_codex":0.0032536385,"about_ca_topic_score_gemma":0.009263411,"teacher_disagreement_score":0.19434579,"about_ca_system_score_codex":0.00014591735,"about_ca_system_score_gemma":0.00019727132,"threshold_uncertainty_score":0.5169201},"labels":[],"label_agreement":null},{"id":"W2115850129","doi":"10.1146/annurev.resource.050708.144125","title":"Antibiotic Effectiveness: New Challenges in Natural Resource Management","year":2010,"lang":"en","type":"article","venue":"Annual Review of Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Natural resource; Context (archaeology); Parallels; Resource (disambiguation); Natural resource management; Resource management (computing); Economics; Environmental resource management; Natural resource economics; Computer science; Ecology; Operations management; Biology","score_opus":0.04322179191461534,"score_gpt":0.23377140794672085,"score_spread":0.19054961603210552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115850129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7048754,0.17434974,0.000025357658,0.0016872274,0.0004377165,0.00091651396,0.00007805778,0.000030016254,0.11759997],"genre_scores_gemma":[0.82794887,0.16954301,0.0008086838,0.0006797205,0.00014045958,0.000018050816,0.000053738717,0.00004757996,0.0007598833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981519,0.00004441816,0.0009287718,0.0005520671,0.00003077942,0.00029208348],"domain_scores_gemma":[0.99871033,0.0001114649,0.00051384827,0.0005584718,0.000007695097,0.00009819441],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018427235,0.00022159083,0.0007236206,0.00020872154,0.000036225003,0.000016107604,0.00037984797,0.00012432032,0.00019268389],"category_scores_gemma":[0.000084584935,0.00026307063,0.0001926581,0.00010374758,0.00008108436,0.00024500696,0.0001461497,0.00031154286,0.00042830888],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010416351,0.0004527181,0.1201008,0.011176048,0.00033192025,0.000011282167,0.0012882999,0.0005517209,0.000031086332,0.5302825,0.0051870802,0.3304824],"study_design_scores_gemma":[0.0010868155,0.000092577575,0.3258321,0.001573439,0.000024002735,0.000011520789,0.00045715863,0.00018017316,0.00009462768,0.005302192,0.6648507,0.00049469667],"about_ca_topic_score_codex":0.00006119438,"about_ca_topic_score_gemma":0.00004927117,"teacher_disagreement_score":0.6596636,"about_ca_system_score_codex":0.0001284908,"about_ca_system_score_gemma":0.000014201491,"threshold_uncertainty_score":0.9999822},"labels":[],"label_agreement":null},{"id":"W2116894141","doi":"10.1080/14927713.2007.9651392","title":"Visitor management policy of national parks, national wildlife areas and refuges in Canada and the united states: A policy analysis of public documents","year":2007,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Visitor pattern; Agency (philosophy); National park; Business; Wildlife; Service (business); Public administration; Environmental resource management; Political science; Geography; Marketing; Economics; Ecology; Sociology; Computer science","score_opus":0.034563910306671525,"score_gpt":0.24513458364191212,"score_spread":0.2105706733352406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116894141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99396837,0.00020832078,0.00015089544,0.0018858202,0.000026148822,0.00016485537,0.00019980704,0.000002518884,0.0033932542],"genre_scores_gemma":[0.99831724,0.0006257838,0.00009828882,0.0005907921,0.000036703,0.000011388872,0.00016561733,0.0000070333217,0.00014717165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883294,0.000029713643,0.0006237795,0.00021345705,0.00012833005,0.00017176112],"domain_scores_gemma":[0.9992702,0.0001467443,0.00038161318,0.000109861954,0.000033451342,0.00005811409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013855647,0.000100236604,0.00031500196,0.0010874697,0.000043463435,0.000022463717,0.00011076602,0.00003734556,0.00003882517],"category_scores_gemma":[0.00009388095,0.00009641448,0.000044198794,0.00085227226,0.00010628016,0.00014837823,0.00006527642,0.000056235152,0.0000017718874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019740977,0.000031575437,0.7894294,0.000016023889,0.00035703942,2.9341308e-7,0.00017243948,0.0022102215,7.000387e-7,0.20727557,0.00012379649,0.0003631791],"study_design_scores_gemma":[0.0010463216,0.00001042127,0.9777417,0.000006303442,0.000019769499,5.283849e-7,0.00023027205,0.0050941478,0.000005776353,0.010844333,0.0049113897,0.00008903658],"about_ca_topic_score_codex":0.5410742,"about_ca_topic_score_gemma":0.2826233,"teacher_disagreement_score":0.25845093,"about_ca_system_score_codex":0.0007732633,"about_ca_system_score_gemma":0.00012009866,"threshold_uncertainty_score":0.73046696},"labels":[],"label_agreement":null},{"id":"W2117377844","doi":"10.1111/cjag.12081","title":"Consumers’ Valuation for a Reduced Salt Product: A Nonhypothetical Choice Experiment","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Research Foundation of Korea","keywords":"Valuation (finance); Humanities; Welfare economics; Food science; Mathematics; Economics; Chemistry; Philosophy","score_opus":0.1697561121995455,"score_gpt":0.20614884037712067,"score_spread":0.03639272817757516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117377844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98711824,0.0013706542,0.00016904013,0.005153035,0.0027187467,0.0007082918,0.0003365067,0.0000104942765,0.0024150098],"genre_scores_gemma":[0.9958325,0.00004888601,0.0014677555,0.00038919784,0.00092712155,0.00007874436,0.00010961048,0.000046749796,0.0010994257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99691844,0.00003079131,0.0016431776,0.00059058645,0.000012306097,0.00080467266],"domain_scores_gemma":[0.99629176,0.00010677312,0.0012839995,0.0003307398,0.00015707314,0.0018296872],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012420006,0.0003550361,0.0008403835,0.00039319272,0.00019969039,0.00018959996,0.00049390877,0.00016517041,0.00033546484],"category_scores_gemma":[0.00045203243,0.00038056067,0.0003486098,0.00009997375,0.00016269113,0.00082129275,0.000025100928,0.00022162577,0.0002917798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042634452,0.0003787453,0.18051107,0.00020971692,0.0020231204,0.000039351267,0.021814175,0.036267836,0.0009918347,0.6961731,0.053937495,0.007227216],"study_design_scores_gemma":[0.014045326,0.0032640963,0.48871017,0.00019414656,0.0003401634,0.0013042734,0.008346941,0.0040786415,0.0030761727,0.124351546,0.34832898,0.0039595617],"about_ca_topic_score_codex":0.015538392,"about_ca_topic_score_gemma":0.12830542,"teacher_disagreement_score":0.5718216,"about_ca_system_score_codex":0.004440176,"about_ca_system_score_gemma":0.00066377,"threshold_uncertainty_score":0.99986464},"labels":[],"label_agreement":null},{"id":"W2117691204","doi":"10.1016/s0928-7655(01)00048-3","title":"The private provision of public goods: tests of a provision point mechanism for funding green power programs","year":2002,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":144,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"U.S. Department of Agriculture; National Science Foundation","keywords":"Mechanism (biology); Public good; Point (geometry); Renewable energy; Economics; Power point; Field (mathematics); Power (physics); Test (biology); Public economics; Environmental economics; Business; Microeconomics; Engineering; Physics","score_opus":0.08278480676540266,"score_gpt":0.203120784420314,"score_spread":0.12033597765491134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117691204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99067557,0.0010301372,0.001649997,0.0009824411,0.000089453235,0.0002811916,0.000041830746,0.000016324073,0.0052330554],"genre_scores_gemma":[0.9968491,0.0012121391,0.00074133393,0.00007695423,0.000041650317,0.00006147213,0.000023314016,0.000032231274,0.00096176984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985621,0.000016693597,0.0007655255,0.00034406493,0.000022349761,0.0002892948],"domain_scores_gemma":[0.99880534,0.00009701946,0.00068477093,0.00031624225,0.000013638222,0.000083000035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006790857,0.00015443134,0.0003413899,0.000113342714,0.00016142611,0.000060308066,0.00020181437,0.00011355551,0.00003596066],"category_scores_gemma":[0.000052932955,0.00014470222,0.00012656883,0.000060747414,0.00010869873,0.00023241699,0.00011321826,0.000055908167,0.000008056546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002613532,0.00015024656,0.03679944,0.000055485492,0.000088094836,1.286781e-7,0.0005091706,0.00010489285,0.00010748355,0.898292,0.00011154698,0.063755386],"study_design_scores_gemma":[0.004538865,0.0025110268,0.023500295,0.00014144026,0.000058749458,0.000019774921,0.0021563773,0.1950121,0.0024906278,0.3224789,0.44578025,0.0013116085],"about_ca_topic_score_codex":0.00011405598,"about_ca_topic_score_gemma":0.00006669065,"teacher_disagreement_score":0.5758131,"about_ca_system_score_codex":0.00009745325,"about_ca_system_score_gemma":0.0000057928173,"threshold_uncertainty_score":0.59007853},"labels":[],"label_agreement":null},{"id":"W2117739202","doi":"10.3868/s060-003-014-0011-4","title":"Estimating the Economic Value of Statistical Life in China: A Study of the Willingness to Pay for Cancer Prevention","year":2014,"lang":"en","type":"article","venue":"Frontiers of Economics in China","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Willingness to pay; Contingent valuation; China; Value (mathematics); Valuation (finance); Economics; Value of life; Demography; Actuarial science; Statistics; Mathematics; Geography; Microeconomics; Finance; Sociology","score_opus":0.03527451349673439,"score_gpt":0.25177210545718764,"score_spread":0.21649759196045326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117739202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778234,0.00011569433,0.019352514,0.0002987693,0.0009857871,0.0009888201,0.00019141809,0.000002298473,0.00024130108],"genre_scores_gemma":[0.9933065,0.000035475696,0.006342632,0.000034218163,0.00006439786,0.00013739012,0.000007361614,0.000022873133,0.00004915779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813014,0.000054687906,0.0012736021,0.00033642774,0.000017695782,0.0001874147],"domain_scores_gemma":[0.99858236,0.000104338396,0.00089786464,0.00037279548,0.000005372602,0.00003725863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015085008,0.00014124751,0.0006165211,0.00012435771,0.000050925293,0.000012562545,0.00039459785,0.000067908535,0.00002780268],"category_scores_gemma":[0.0001829267,0.000119156015,0.00010146785,0.00006096051,0.00007806507,0.00013935477,0.00010021563,0.000117063675,0.0000031358038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003390779,0.000113132926,0.57302946,0.000026483718,0.000033551973,8.8392005e-9,0.0011446676,0.40152657,0.0000011823694,0.023198038,0.00009404002,0.0007989662],"study_design_scores_gemma":[0.00089491863,0.00014426888,0.635382,0.000021125992,0.000010771895,8.170927e-8,0.00021691043,0.3071612,0.000027835338,0.055984654,0.00005853145,0.000097729804],"about_ca_topic_score_codex":0.0026496146,"about_ca_topic_score_gemma":0.001525162,"teacher_disagreement_score":0.09436536,"about_ca_system_score_codex":0.00037327083,"about_ca_system_score_gemma":0.000053123447,"threshold_uncertainty_score":0.48590413},"labels":[],"label_agreement":null},{"id":"W2117835647","doi":"10.1111/j.0021-8901.2004.00902.x","title":"Removing GPS collar bias in habitat selection studies","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":352,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Foothills Medical Centre; University of Alberta","funders":"National Science Foundation","keywords":"Global Positioning System; Statistics; Sampling (signal processing); Terrain; Weighting; Sampling bias; Environmental science; Collar; Range (aeronautics); Sample size determination; Mathematics; Computer science; Geography; Cartography; Physics","score_opus":0.1257415600662107,"score_gpt":0.24996828029395537,"score_spread":0.12422672022774467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117835647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99337035,0.00046268856,0.00031335745,0.00063689594,0.00039704074,0.00010058701,0.0000016387031,0.000004368298,0.004713077],"genre_scores_gemma":[0.99643314,0.0006471312,0.002422572,0.00032976666,0.00010663784,0.000006451516,9.032649e-7,0.000010764326,0.000042627253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998875,0.000008472658,0.000786536,0.00014266705,0.000020889716,0.00016643204],"domain_scores_gemma":[0.9991647,0.000061601546,0.0006652207,0.000060454862,0.000013076371,0.000034921864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094764173,0.00008484664,0.000389364,0.00027529497,0.0000533444,0.000011575876,0.00008608702,0.00009168417,0.0000923655],"category_scores_gemma":[0.000079270074,0.000095873074,0.00006182047,0.000120762365,0.000045913384,0.00014213737,0.000027539598,0.00016262443,0.00021695656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008687812,0.00020234588,0.82387364,0.000022417405,0.0001462831,0.000012103819,0.0013226382,0.07455306,0.00041552924,0.09825826,0.00042611727,0.000680722],"study_design_scores_gemma":[0.0023938764,0.00031408132,0.7832152,0.000012987627,0.0000115937355,0.000053579544,0.001001034,0.00017942712,0.0005410858,0.21020304,0.0019011119,0.00017295011],"about_ca_topic_score_codex":0.000010747921,"about_ca_topic_score_gemma":0.00026442306,"teacher_disagreement_score":0.11194477,"about_ca_system_score_codex":0.00088440056,"about_ca_system_score_gemma":0.000027890437,"threshold_uncertainty_score":0.39095905},"labels":[],"label_agreement":null},{"id":"W2117965982","doi":"10.1111/j.1744-7976.2008.00125.x","title":"Predicting the Effect of Land‐Use Policies on Wildlife Habitat Abundance","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Habitat conservation; Geography; Habitat; Wildlife; Forestry; Ecology; Biology","score_opus":0.052087796550672985,"score_gpt":0.16235401588189136,"score_spread":0.11026621933121837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117965982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931496,0.00052651373,0.000004903916,0.0023467566,0.00142636,0.00030688394,0.00039201684,0.0000069481334,0.0018400477],"genre_scores_gemma":[0.9978097,0.00026020673,0.000053250307,0.0005223662,0.00055060926,0.000013597294,0.000030006377,0.000031992175,0.00072823843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997482,0.000049212314,0.0014536766,0.00036165252,0.000011770626,0.00064170995],"domain_scores_gemma":[0.996982,0.00032044845,0.0015983594,0.0003538538,0.000043421718,0.00070190924],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007425918,0.00033681528,0.000881368,0.00033036628,0.0003951317,0.00009478987,0.0005996643,0.00014856744,0.00019294427],"category_scores_gemma":[0.00026027596,0.00026852248,0.00040804982,0.00011702299,0.00032629078,0.00079162256,0.00002770309,0.00035035488,0.00015353937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003949991,0.000009617331,0.9701097,0.000021103515,0.00017533242,0.000011269225,0.0012357726,0.0159975,0.0000061694545,0.009658765,0.0026038964,0.00013138121],"study_design_scores_gemma":[0.00096539414,0.0009462657,0.98769546,0.000059487375,0.000031729207,0.00040064886,0.00031012893,0.0002307225,0.00013196461,0.00075299025,0.008112903,0.0003623159],"about_ca_topic_score_codex":0.042996667,"about_ca_topic_score_gemma":0.24014051,"teacher_disagreement_score":0.19714384,"about_ca_system_score_codex":0.0015823998,"about_ca_system_score_gemma":0.00016277608,"threshold_uncertainty_score":0.9999767},"labels":[],"label_agreement":null},{"id":"W2118491868","doi":"10.3389/fmars.2015.00071","title":"Recovering Pacific rockfish at risk: the economic valuation of management actions","year":2015,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Fisheries and Oceans Canada","funders":"","keywords":"Welfare; Rockfish; Willingness to pay; Payment; Economics; Contingent valuation; Baseline (sea); Valuation (finance); Population; Sample (material); Public economics; Business; Fishery; Finance; Microeconomics; Demography; Biology","score_opus":0.08008521921204088,"score_gpt":0.22096510796999622,"score_spread":0.14087988875795532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118491868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9148977,0.000057056022,0.0061684,0.00014944178,0.0014919372,0.0002223764,0.000019469098,0.000008757986,0.07698488],"genre_scores_gemma":[0.9854,0.00032041775,0.01231796,0.0000184726,0.000027261087,0.000025608053,0.000007358234,0.000007034233,0.0018758822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904734,0.00001597845,0.0003875597,0.00031305035,0.000052727813,0.00018332979],"domain_scores_gemma":[0.9993105,0.000013099401,0.00030795918,0.0003113428,0.0000067977253,0.000050329523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002053744,0.000077113495,0.00015228256,0.0002367836,0.00013970243,0.00003284693,0.00030931484,0.000025851932,0.000121634155],"category_scores_gemma":[0.000048376045,0.00007960709,0.00003917751,0.00020920654,0.00020546722,0.0004149058,0.00030624054,0.00007034029,0.00019616737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000082375245,0.000012932061,0.9652485,0.0000032046319,0.000008806462,1.2158719e-7,0.00027003328,0.021151185,0.0000029185646,0.004399457,0.0013351984,0.007559358],"study_design_scores_gemma":[0.0003993018,0.000027378446,0.90760374,0.000003534405,0.000005564792,9.32687e-7,0.0009424244,0.032784313,0.000096002535,0.05246235,0.005558681,0.00011579816],"about_ca_topic_score_codex":0.00021887128,"about_ca_topic_score_gemma":0.000038324466,"teacher_disagreement_score":0.075109,"about_ca_system_score_codex":0.0015949644,"about_ca_system_score_gemma":0.000026763582,"threshold_uncertainty_score":0.41707763},"labels":[],"label_agreement":null},{"id":"W2119301377","doi":"10.1111/j.1744-7976.2010.01190.x","title":"Accounting for Respondent Uncertainty to Improve Willingness‐to‐Pay Estimates","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Respondent; Contingent valuation; Willingness to pay; Payment; Valuation (finance); Welfare economics; Actuarial science; Economics; Econometrics; Microeconomics; Accounting; Political science; Finance","score_opus":0.040280621094493894,"score_gpt":0.18303986342006734,"score_spread":0.14275924232557344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119301377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984707,0.00008402636,0.00029055303,0.00730892,0.0051325154,0.00074668514,0.00087553426,0.000011405352,0.0008433344],"genre_scores_gemma":[0.9920085,0.000013759372,0.004023756,0.0012509121,0.0014201382,0.000081259495,0.00006448042,0.000055509463,0.00108168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99663025,0.000009459234,0.0016538913,0.0006690972,0.00000936641,0.0010279506],"domain_scores_gemma":[0.99616385,0.0001690431,0.0010629699,0.0003857601,0.00012972885,0.0020886448],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012327202,0.0003975063,0.0008768548,0.0005370834,0.00035072668,0.00034305584,0.0007921507,0.000222545,0.00060639484],"category_scores_gemma":[0.00052693195,0.0003830686,0.000370966,0.000148765,0.0000805256,0.0007610296,0.00004775463,0.00040263715,0.00047474168],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003654574,0.000117013275,0.4527903,0.00018593979,0.0009386382,0.00003560787,0.007761166,0.16473834,0.004800459,0.33552977,0.02083416,0.011903157],"study_design_scores_gemma":[0.0019381283,0.0009981291,0.7657579,0.000078636454,0.000076430464,0.00023055922,0.0014793621,0.0018636729,0.00086175837,0.027939206,0.19706999,0.0017062074],"about_ca_topic_score_codex":0.019547807,"about_ca_topic_score_gemma":0.49100545,"teacher_disagreement_score":0.47145763,"about_ca_system_score_codex":0.0021506792,"about_ca_system_score_gemma":0.00034818842,"threshold_uncertainty_score":0.99986213},"labels":[],"label_agreement":null},{"id":"W2119403851","doi":"10.1111/0002-9092.00183","title":"Modeling Recreation Site Choice: Do Hypothetical Choices Reflect Actual Behavior?","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Canadian Forest Service","funders":"","keywords":"Recreation; Revealed preference; Aggregate (composite); Preference; Aggregate data; Econometrics; Sample (material); Test site; Statistics; Computer science; Economics; Mathematics; Ecology; Engineering; Chemistry; Biology","score_opus":0.06488143752056506,"score_gpt":0.24144307605307888,"score_spread":0.17656163853251383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119403851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99515337,0.00037313395,0.00060373003,0.00047794217,0.0003298449,0.00012586947,0.000026427886,0.000014312355,0.0028953562],"genre_scores_gemma":[0.9946772,0.0021863314,0.0021660996,0.00018711532,0.0004960796,0.000008696593,0.00002457618,0.000023418459,0.0002304861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981678,0.000027667595,0.0011521443,0.00031241204,0.000039469902,0.00030047682],"domain_scores_gemma":[0.99841696,0.00006943632,0.001110454,0.00017897037,0.000039805287,0.0001843539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044274266,0.00022189405,0.0005963155,0.00016443065,0.000116710406,0.0001295146,0.00026036875,0.000080780155,0.00032072607],"category_scores_gemma":[0.000055315777,0.00019971446,0.0002651323,0.0001418396,0.000116471776,0.0008811272,0.000042595304,0.00025242555,0.00031546314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018021268,0.00050004356,0.7754999,0.0000100077095,0.00038105884,0.000009660615,0.0016434097,0.16903324,0.0008709289,0.011079945,0.0003622399,0.04042935],"study_design_scores_gemma":[0.0014882067,0.0010593309,0.9745278,0.000034755005,0.00010468143,0.0004888235,0.0018351258,0.009872289,0.0001257382,0.0019172487,0.007723995,0.00082205905],"about_ca_topic_score_codex":0.00021376615,"about_ca_topic_score_gemma":0.00004683318,"teacher_disagreement_score":0.19902785,"about_ca_system_score_codex":0.0005063507,"about_ca_system_score_gemma":0.000019266234,"threshold_uncertainty_score":0.81441194},"labels":[],"label_agreement":null},{"id":"W2119454559","doi":"10.1016/j.jbusres.2006.11.010","title":"A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best–worst scaling","year":2007,"lang":"en","type":"article","venue":"Journal of Business Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":291,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Willingness to pay; Scaling; Constant (computer programming); Econometrics; Context (archaeology); Conjoint analysis; Mathematics; Computer science; Statistics; Economics; Microeconomics","score_opus":0.2420162740871008,"score_gpt":0.3466171255031557,"score_spread":0.10460085141605491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119454559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98181033,0.005478012,0.011538958,0.00058738544,0.00013271038,0.00015877992,0.00003621142,0.000002780307,0.0002548146],"genre_scores_gemma":[0.99660105,0.00059636036,0.0025909408,0.000035439974,0.0001358512,0.0000020472291,0.000005079998,0.0000169455,0.00001630933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981662,0.000039564937,0.0010998099,0.00024777857,0.00016901811,0.00027760243],"domain_scores_gemma":[0.99832237,0.00048200326,0.00063746836,0.00015535143,0.00022218502,0.00018061494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027032741,0.00012400704,0.0005810294,0.0004111307,0.000146683,0.00007558083,0.00015816532,0.000095999894,0.00007175447],"category_scores_gemma":[0.00041497368,0.000111291454,0.000051524505,0.00027106743,0.00034331743,0.00024649792,0.00006224904,0.00027958732,0.000011435298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014185018,0.00013951697,0.99317294,0.000044580087,0.00004073551,0.000005375504,0.00024031271,0.00036950948,0.0030118618,0.00043305522,0.00003436141,0.0023659116],"study_design_scores_gemma":[0.0010623155,0.000117942116,0.9895753,0.00017211302,0.0000096498425,0.000005228074,0.00037464072,0.0018754939,0.0037811552,0.002255498,0.0006340438,0.00013658716],"about_ca_topic_score_codex":0.00042653823,"about_ca_topic_score_gemma":0.00031052824,"teacher_disagreement_score":0.014790677,"about_ca_system_score_codex":0.00014018994,"about_ca_system_score_gemma":0.00005369762,"threshold_uncertainty_score":0.45383337},"labels":[],"label_agreement":null},{"id":"W2119487659","doi":"10.1111/j.1744-7976.2012.01254.x","title":"Assessing Consumers’ Willingness to Pay for Different Units of Organic Milk: Evidence from Multiunit Auctions","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Common value auction; Economics; Vickrey auction; Willingness to pay; Microeconomics; Agricultural science; Welfare economics; Humanities; Philosophy; Biology","score_opus":0.1785350896988442,"score_gpt":0.21004871567887043,"score_spread":0.031513625980026216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119487659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922192,0.0012627272,0.0006467933,0.001570562,0.002887875,0.0004389239,0.00083329,0.0000063736156,0.00013423257],"genre_scores_gemma":[0.9971921,0.00015625947,0.001249386,0.00020701783,0.0006960013,0.00002756964,0.00010401252,0.00004174314,0.00032594588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970912,0.00003226795,0.0016569326,0.0003934178,0.000009676715,0.0008165541],"domain_scores_gemma":[0.99614054,0.00033270987,0.0014838278,0.00030565058,0.00014026936,0.001597001],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067782466,0.00034279408,0.0009400256,0.0003652875,0.00025776046,0.0001568834,0.00051427266,0.00018136506,0.00079611194],"category_scores_gemma":[0.00038417437,0.00032103152,0.00027383183,0.0001710187,0.00009965618,0.0017624403,0.000035692334,0.00023971565,0.00011780967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003348654,0.00005207152,0.98016286,0.000056847566,0.0004468083,0.0000019678755,0.0047703222,0.003490618,0.000739551,0.0077753635,0.0011108082,0.001359305],"study_design_scores_gemma":[0.0008201288,0.00020443833,0.98381084,0.00016467697,0.000101338366,0.000051501414,0.003431556,0.00016997915,0.001245054,0.0016842063,0.0077016572,0.00061462546],"about_ca_topic_score_codex":0.024181629,"about_ca_topic_score_gemma":0.27438548,"teacher_disagreement_score":0.25020388,"about_ca_system_score_codex":0.0025767696,"about_ca_system_score_gemma":0.00028369238,"threshold_uncertainty_score":0.9999242},"labels":[],"label_agreement":null},{"id":"W2119959205","doi":"10.1111/soin.12097","title":"Urbanization and Land‐Use Change: A Human Ecology of Deforestation Across the United States, 2001–2006","year":2015,"lang":"en","type":"article","venue":"Sociological Inquiry","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Deforestation (computer science); Urbanization; Land cover; Geography; Locality; Ecology; Human ecology; Land use; Cover (algebra); Land use, land-use change and forestry; Natural (archaeology); Economic geography; Forest cover; Environmental resource management; Environmental science; Archaeology","score_opus":0.459164643218341,"score_gpt":0.32988910034409985,"score_spread":0.12927554287424114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119959205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980405,0.0002974144,0.00068266713,0.0004714747,0.00013549246,0.00017475794,0.000082743376,0.000015074171,0.00009985088],"genre_scores_gemma":[0.9981084,0.0002831404,0.00010256666,0.00073087384,0.00009521647,0.000030033469,0.0004941173,0.0000073890114,0.00014827496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928975,0.000054250002,0.00030191767,0.00017405802,0.00001802333,0.00016198725],"domain_scores_gemma":[0.99951816,0.00008471613,0.00022716071,0.000105136714,0.000018716353,0.00004610597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069957896,0.00007566157,0.00017052032,0.000035521927,0.0001012455,0.000019677746,0.00007528761,0.0001362323,0.000058858914],"category_scores_gemma":[0.00012640913,0.00006044831,0.000025936113,0.00007434777,0.0003904392,0.00012887052,0.000062933395,0.00008512889,0.000052770705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073920783,0.00003775329,0.97484875,0.0000039369565,0.000012316833,2.9976223e-7,0.004975544,0.0006078132,0.000003863847,0.018574566,0.0008399227,0.000087837965],"study_design_scores_gemma":[0.00040640243,0.00015269234,0.95307153,0.0000017488616,0.000003688611,0.0000010973442,0.0013123072,0.0021182639,0.000003841168,0.041428152,0.0014208596,0.000079386125],"about_ca_topic_score_codex":0.00074286177,"about_ca_topic_score_gemma":0.00008771394,"teacher_disagreement_score":0.022853587,"about_ca_system_score_codex":0.0000868434,"about_ca_system_score_gemma":0.0000039370993,"threshold_uncertainty_score":0.24650106},"labels":[],"label_agreement":null},{"id":"W2120050429","doi":"10.1016/j.jenvman.2012.10.029","title":"Optimization of wildlife management in a large game reserve through waterpoints manipulation: A bio-economic analysis","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kruger (Canada)","funders":"Royal Society; Baidu","keywords":"Subsidy; Wildlife; Revenue; Business; Land tenure; Biodiversity; Wildlife management; Natural resource economics; Population; Sustainable management; Control (management); Environmental resource management; Wildlife conservation; Environmental planning; Sustainability; Economics; Geography; Ecology; Agriculture; Finance","score_opus":0.052793469079113406,"score_gpt":0.22708770380103677,"score_spread":0.17429423472192335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120050429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95965916,0.00093184784,0.029686948,0.00023610574,0.00034283145,0.0003885479,0.00006422191,0.000005061375,0.00868527],"genre_scores_gemma":[0.98870885,0.001943562,0.008532718,0.00017760639,0.000066420784,0.000013791893,0.00004494925,0.00002135528,0.00049076474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979325,0.000035869605,0.0013865214,0.00023732138,0.00009789864,0.0003098852],"domain_scores_gemma":[0.9985454,0.00001307273,0.0010796364,0.00028501503,0.0000018538487,0.00007501788],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010204755,0.00017555358,0.00048750435,0.0005926104,0.000036018177,0.000021042011,0.00022728463,0.00006419409,0.0022298703],"category_scores_gemma":[0.0000024433593,0.00019823891,0.0002608608,0.0001746703,0.000045115998,0.0008762804,0.00018424685,0.00009439288,0.00021351672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052150484,0.0006125572,0.75719786,0.000040086037,0.0010549033,0.000006776163,0.00057445315,0.22924404,0.000004706243,0.010782984,0.00014542074,0.00028406785],"study_design_scores_gemma":[0.0018619179,0.000085079635,0.9763377,0.000024430405,0.00026851514,0.000004322394,0.0009275005,0.014838837,0.000031494434,0.0016808892,0.0037014713,0.00023788011],"about_ca_topic_score_codex":0.000031672214,"about_ca_topic_score_gemma":0.0000056925405,"teacher_disagreement_score":0.2191398,"about_ca_system_score_codex":0.0007759266,"about_ca_system_score_gemma":0.000001563668,"threshold_uncertainty_score":0.9986822},"labels":[],"label_agreement":null},{"id":"W2120196196","doi":"10.1111/j.1523-1739.2006.00304.x","title":"Modeling Opportunity Costs of Conservation in Transitional Landscapes","year":2006,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Opportunity cost; Land use; Habitat; Agricultural land; Agriculture; Environmental resource management; Geography; Ecology; Environmental science; Economics","score_opus":0.1250430332813978,"score_gpt":0.2320843306210316,"score_spread":0.1070412973396338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120196196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767223,0.0002122068,0.016885035,0.0017786295,0.000083653096,0.00011177825,0.00009952861,0.000010826611,0.0040960596],"genre_scores_gemma":[0.9981656,0.000052926414,0.0005236621,0.00057219964,0.00002765671,0.000017104561,0.0005805162,0.0000057573675,0.000054571792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911666,0.00002435968,0.00057035976,0.00017486142,0.000011964153,0.00010177473],"domain_scores_gemma":[0.9996607,0.000045770335,0.0001686016,0.000088511675,0.000017137008,0.000019325696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039606102,0.00006868207,0.00019021456,0.00013683773,0.00002885216,0.0000051377356,0.000055576682,0.00009768871,0.00034233573],"category_scores_gemma":[0.00003837945,0.00008676449,0.000035880246,0.000082207014,0.00004235459,0.00013490685,0.000009797963,0.000051978466,0.00004163722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009925891,0.00004208719,0.7107317,0.000004770683,0.0000041954067,1.4282115e-7,0.000025077994,0.0035189278,0.00037311122,0.2850943,0.000103642735,0.00009217548],"study_design_scores_gemma":[0.0007884704,0.000029308561,0.6291003,0.00000982907,0.0000023857936,0.0000014086371,0.000043977696,0.28324068,0.000094105,0.08565485,0.0009065246,0.0001281389],"about_ca_topic_score_codex":0.003228575,"about_ca_topic_score_gemma":0.0009274578,"teacher_disagreement_score":0.27972174,"about_ca_system_score_codex":0.00008770968,"about_ca_system_score_gemma":0.000021371783,"threshold_uncertainty_score":0.4880661},"labels":[],"label_agreement":null},{"id":"W2120474578","doi":"10.1007/s11002-008-9044-3","title":"How behavioral decision research can enhance consumer welfare: From freedom of choice to paternalistic intervention","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Paternalism; Scope (computer science); Psychological intervention; Intervention (counseling); Freedom of choice; Public economics; Welfare; Psychology; Behavioral economics; Economics; Social psychology; Microeconomics; Computer science","score_opus":0.1384517389363004,"score_gpt":0.2897856775105387,"score_spread":0.1513339385742383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120474578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99074644,0.00017752443,0.0033996778,0.0048766667,0.00029573217,0.00018223545,0.00014765491,0.00001304632,0.00016100545],"genre_scores_gemma":[0.9969352,0.000037319445,0.0024268702,0.0002646729,0.000096482254,0.000023988126,0.000041536317,0.00002181911,0.00015210245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987194,0.00009380756,0.00045826254,0.0004070869,0.00008649824,0.0002349339],"domain_scores_gemma":[0.9991735,0.00023245339,0.00023396482,0.0002553437,0.000016840177,0.00008787643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010594898,0.00011154011,0.0002481957,0.00015352447,0.00013530541,0.00004798436,0.00022854703,0.000054473803,0.000392884],"category_scores_gemma":[0.000452941,0.00013935281,0.00009132535,0.00013013353,0.00011192461,0.00013414487,0.00011432486,0.0001592509,0.00015677146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008474851,0.00007083001,0.9883043,0.000016633801,0.00002352086,0.000006540224,0.00042523415,0.00010945518,0.0033177664,0.00007744506,0.0032592714,0.0043042344],"study_design_scores_gemma":[0.00045444697,0.000056029963,0.9918285,0.000050097115,0.0000052305836,0.0000011875192,0.00009389124,0.00032733183,0.0007233429,0.0000984018,0.006191523,0.00017000406],"about_ca_topic_score_codex":0.004721991,"about_ca_topic_score_gemma":0.00022808505,"teacher_disagreement_score":0.0061887526,"about_ca_system_score_codex":0.00020360154,"about_ca_system_score_gemma":0.0000033580725,"threshold_uncertainty_score":0.7138269},"labels":[],"label_agreement":null},{"id":"W2120650628","doi":"10.1017/s1930297500003661","title":"Preference-driven biases in decision makers’ information search and evaluation","year":2013,"lang":"en","type":"article","venue":"Judgment and Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Preference; Psychology; Confirmation bias; Loyalty; Selection (genetic algorithm); Social psychology; Cognitive psychology; Computer science; Statistics; Marketing; Machine learning; Mathematics","score_opus":0.23016239616555575,"score_gpt":0.2888387794089135,"score_spread":0.05867638324335775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120650628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990657,0.00050170854,0.005685346,0.000085725755,0.00011318065,0.0004951382,0.000007918974,0.000009254646,0.0024447672],"genre_scores_gemma":[0.9932922,0.00043589782,0.0059942016,0.00016231259,0.000018187155,0.00005541215,0.000018242048,0.0000063218868,0.000017223929],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99894416,0.0000149330335,0.00053458643,0.00024054639,0.00009552685,0.00017024505],"domain_scores_gemma":[0.9994817,0.00018304407,0.00012762829,0.00013827634,0.000018315131,0.000051073905],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008717674,0.00010250062,0.00017516759,0.00032008076,0.00008662949,0.0001926281,0.00006479827,0.00007706097,0.00092927687],"category_scores_gemma":[0.00012756139,0.000106585656,0.000023661514,0.000098364995,0.000028168482,0.0011625333,0.00010734832,0.00007863753,0.0005999284],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025597295,0.000025526204,0.44183013,0.0000082394545,0.0000061032724,1.878e-7,0.00061150914,0.0055785673,0.000013004151,0.0026068082,0.00033083273,0.5489635],"study_design_scores_gemma":[0.00075089646,0.00003400761,0.69052017,0.00007475682,0.000002503629,0.0000013207022,0.00026024884,0.2757572,0.000007827115,0.032256637,0.00022758597,0.00010685805],"about_ca_topic_score_codex":0.00011117944,"about_ca_topic_score_gemma":0.000036661546,"teacher_disagreement_score":0.5488566,"about_ca_system_score_codex":0.00015866036,"about_ca_system_score_gemma":0.000007955793,"threshold_uncertainty_score":0.999984},"labels":[],"label_agreement":null},{"id":"W2121101027","doi":"10.1287/deca.1050.0035","title":"Acceptable Input: Using Decision Analysis to Guide Public Policy Deliberations","year":2005,"lang":"en","type":"article","venue":"Decision Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Carnegie Mellon University","keywords":"Legitimacy; Decision analysis; Construct (python library); Deliberative democracy; Management science; Strengths and weaknesses; Politics; Cognition; Computer science; Psychology; Public relations; Political science; Sociology; Social psychology; Economics; Law","score_opus":0.12355015991950226,"score_gpt":0.30941955349325856,"score_spread":0.18586939357375631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121101027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51459795,0.00020070272,0.48063958,0.00083540386,0.000047756268,0.00009121024,0.00007182011,0.00001715574,0.0034984592],"genre_scores_gemma":[0.9085064,0.00015416213,0.08827777,0.0010718337,0.00016720693,0.000015740095,0.0001298626,0.000023677927,0.0016533383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715424,0.00002866941,0.0014581765,0.00080377597,0.00014550268,0.0004096586],"domain_scores_gemma":[0.99814224,0.00015742761,0.0004006891,0.00092212803,0.00006110882,0.0003163776],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012129673,0.0002324199,0.00076834904,0.00494533,0.0003527571,0.0003713395,0.00043361387,0.00014172083,0.012419338],"category_scores_gemma":[0.0005184274,0.0002662417,0.0007899612,0.006818847,0.00003097629,0.0008083364,0.00021230921,0.00010230161,0.004790239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010442662,0.00013763366,0.32551113,6.4766203e-7,0.002092627,9.019871e-7,0.00017254612,0.6082026,0.00004404608,0.005334173,0.00188261,0.056610685],"study_design_scores_gemma":[0.00042526715,0.000021937009,0.39025223,0.0000026807256,0.0010509613,0.0000014547329,0.00007766848,0.54149306,0.000048673643,0.0044288635,0.061751857,0.000445356],"about_ca_topic_score_codex":0.0009712557,"about_ca_topic_score_gemma":0.0018576786,"teacher_disagreement_score":0.39390847,"about_ca_system_score_codex":0.0010426841,"about_ca_system_score_gemma":0.000044434684,"threshold_uncertainty_score":0.99997896},"labels":[],"label_agreement":null},{"id":"W2121377918","doi":"10.7202/800630ar","title":"L’efficacité économique du mode d’allocation des ressources naturelles","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Externality; Inefficiency; Subsidy; Economics; Microeconomics; Resource allocation; Welfare economics; Public economics; Market economy","score_opus":0.09350452617727409,"score_gpt":0.2220351878053697,"score_spread":0.12853066162809562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121377918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659301,0.00071836595,0.003326717,0.0020911791,0.00020266176,0.00033057193,0.000067824294,0.00012245294,0.027210137],"genre_scores_gemma":[0.9936035,0.0011308498,0.0016972533,0.0020224429,0.0003097319,0.000052081414,0.00009363077,0.000040133073,0.0010503473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979753,0.00004368869,0.000894435,0.0006737007,0.000015119972,0.0003977577],"domain_scores_gemma":[0.9987567,0.00011341287,0.00046605422,0.00048733957,0.000018122595,0.00015838133],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00062311575,0.00031162036,0.0005045913,0.00020426481,0.00025764306,0.00017377091,0.00035709696,0.00029998922,0.00054289325],"category_scores_gemma":[0.00013450095,0.00037585828,0.00019367987,0.000098431956,0.00015019558,0.0006882916,0.000040760693,0.00022684275,0.0011362287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070312504,0.0002992497,0.07658,0.000026957878,0.0000966997,0.0000025410948,0.0034913672,0.007128858,0.00054041855,0.89785373,0.000674605,0.013235279],"study_design_scores_gemma":[0.0015979178,0.00028964534,0.35366425,0.000047493657,0.000020967878,0.000022341232,0.00028554274,0.015188298,0.0039721164,0.5516356,0.0721311,0.001144701],"about_ca_topic_score_codex":0.00038104338,"about_ca_topic_score_gemma":0.00010653188,"teacher_disagreement_score":0.34621808,"about_ca_system_score_codex":0.0003984063,"about_ca_system_score_gemma":0.000015509377,"threshold_uncertainty_score":0.99986935},"labels":[],"label_agreement":null},{"id":"W2121619367","doi":"10.1016/j.jval.2010.11.013","title":"Conjoint Analysis Applications in Health—a Checklist: A Report of the ISPOR Good Research Practices for Conjoint Analysis Task Force","year":2011,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2033,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Conjoint analysis; Checklist; Task (project management); Preference; Preference elicitation; Pharmacoeconomics; Health care; Outcomes research; Research design; Management science; Computer science; Psychology; Applied psychology; Medical education; Medicine; Engineering; Political science; Statistics; Alternative medicine; Mathematics","score_opus":0.355792075055,"score_gpt":0.36722108065583964,"score_spread":0.011429005600839648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121619367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9656301,0.0029145747,0.01571451,0.006146597,0.00012712584,0.0033628915,0.00043497182,0.000016776,0.0056524375],"genre_scores_gemma":[0.9953163,0.0005446801,0.0025860008,0.00020841685,0.00002402708,0.00042392165,0.0001013896,0.000015912912,0.00077934406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99654496,0.00021345993,0.0021201426,0.0006035649,0.00009109757,0.00042678043],"domain_scores_gemma":[0.99585444,0.0003223162,0.0028986344,0.0007798287,0.000037653335,0.00010715055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010956845,0.00012667278,0.0007849789,0.0010259395,0.00017264616,0.000018568582,0.00029170196,0.00009163425,0.00013844021],"category_scores_gemma":[0.00043630067,0.00012592462,0.00029499547,0.002159534,0.000117912685,0.00016460304,0.00008003815,0.0002474808,0.000019091434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019297337,0.00029703716,0.9214508,0.00017550896,0.00030488614,5.270435e-7,0.0025452604,0.011474029,0.0000027707931,0.06349276,0.000059977414,0.00017713568],"study_design_scores_gemma":[0.0004858143,0.00013294384,0.9267434,0.000026168638,0.000065998065,0.0000018533389,0.0013522091,0.0496846,0.000038695332,0.015783662,0.0055362466,0.00014842216],"about_ca_topic_score_codex":0.085870594,"about_ca_topic_score_gemma":0.005360855,"teacher_disagreement_score":0.08050974,"about_ca_system_score_codex":0.00083981775,"about_ca_system_score_gemma":0.00020782933,"threshold_uncertainty_score":0.9202167},"labels":[],"label_agreement":null},{"id":"W2122255948","doi":"10.1161/circoutcomes.109.915421","title":"Willingness To Pay To Eliminate the Risk of Restenosis Following Percutaneous Coronary Intervention","year":2010,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Restenosis; Conventional PCI; Percutaneous coronary intervention; Medicine; Willingness to pay; Logistic regression; Odds ratio; Contingent valuation; Cardiology; Internal medicine; Emergency medicine; Stent; Myocardial infarction; Economics","score_opus":0.07458100012067524,"score_gpt":0.26384635913105076,"score_spread":0.1892653590103755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122255948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819332,0.0004868893,0.015789423,0.00061594706,0.000555666,0.00036310745,0.000046245994,0.000016055481,0.00019350542],"genre_scores_gemma":[0.99902475,0.00006291862,0.00052665826,0.00023188874,0.00004019389,0.000023601213,0.000015270425,0.000014794703,0.000059932176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987309,0.00009892677,0.0006145858,0.00033487953,0.000082771476,0.0001379325],"domain_scores_gemma":[0.999106,0.00012416065,0.00019328436,0.0004856424,0.000017505783,0.00007344542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028467125,0.00012141639,0.00044196637,0.00007713133,0.00016832801,0.00004003482,0.00012790962,0.00008245715,0.00004712358],"category_scores_gemma":[0.0003458722,0.00010091351,0.0006892541,0.000102867445,0.000038516817,0.00014279311,0.00006863818,0.00013258416,0.000084046645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006859814,0.000021441416,0.9786848,0.000020882033,0.00043103204,8.916203e-7,0.00077200285,0.005699533,0.00009200796,0.0038633281,0.0000043424475,0.01040291],"study_design_scores_gemma":[0.00028175654,0.000019534124,0.9946213,0.000008569129,0.00008578256,0.0000065512017,0.00025563565,0.0003830933,0.00003700984,0.0029212271,0.0012229908,0.00015657928],"about_ca_topic_score_codex":0.00063173444,"about_ca_topic_score_gemma":0.00005991116,"teacher_disagreement_score":0.017091583,"about_ca_system_score_codex":0.000050295424,"about_ca_system_score_gemma":0.0000039245533,"threshold_uncertainty_score":0.41151336},"labels":[],"label_agreement":null},{"id":"W2122275914","doi":"10.1016/j.forpol.2009.08.005","title":"A benefit–cost analysis of establishing protected natural areas in New Brunswick, Canada","year":2009,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Cost–benefit analysis; Present value; Net present value; Contingent valuation; Valuation (finance); Opportunity cost; Time horizon; Economics; Discounting; Value (mathematics); Social benefits; Total economic value; Bioeconomics; Total cost; Natural resource economics; Business; Agricultural economics; Willingness to pay; Microeconomics; Fishery; Finance; Ecology; Ecosystem services; Statistics; Mathematics","score_opus":0.03151384042823968,"score_gpt":0.2049190677095833,"score_spread":0.1734052272813436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122275914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947162,0.0003828199,0.00008403288,0.0010013097,0.00007691908,0.00021432822,0.000088826775,0.000007320137,0.0034282084],"genre_scores_gemma":[0.9981781,0.00025516216,0.00023669991,0.00055033964,0.000089243586,0.0000031506142,0.00009387817,0.000010533077,0.00058286556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987194,0.0000055943697,0.00065784075,0.00032214037,0.00001521777,0.00027981965],"domain_scores_gemma":[0.99927545,0.000043126704,0.0003440988,0.00021917393,0.000004963513,0.00011316209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021373652,0.00014902587,0.00048664847,0.0005358422,0.000048460624,0.000052916268,0.00014989564,0.00008313114,0.00006350877],"category_scores_gemma":[0.00008509758,0.0001905875,0.00008546336,0.00034628794,0.000030517422,0.0003722478,0.000036723,0.0001181498,0.000007663542],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016533195,0.000023761637,0.7302049,0.00000517269,0.00009733622,5.0656314e-7,0.00021028254,0.025700657,0.0000014654653,0.2415603,0.00006352959,0.002115606],"study_design_scores_gemma":[0.00046869175,0.000027018647,0.94233733,0.0000062956256,0.000022813845,0.0000013446986,0.000041654323,0.03650537,0.000012263083,0.018575022,0.0018145869,0.00018759305],"about_ca_topic_score_codex":0.77630574,"about_ca_topic_score_gemma":0.93646604,"teacher_disagreement_score":0.22298527,"about_ca_system_score_codex":0.0005140887,"about_ca_system_score_gemma":0.00036351246,"threshold_uncertainty_score":0.77719325},"labels":[],"label_agreement":null},{"id":"W2122346233","doi":"10.1093/cjres/rsr016","title":"Inferring regional well-being from individual revealed preferences: the 'voting with your feet' approach","year":2011,"lang":"en","type":"article","venue":"Cambridge Journal of Regions Economy and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Voting; Preference; Net migration rate; Per capita; Population; Demographic economics; Economics; Revealed preference; Geography; Econometrics; Demography; Political science; Population growth; Microeconomics; Sociology","score_opus":0.13993111209403375,"score_gpt":0.20738471591116606,"score_spread":0.06745360381713231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122346233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95894706,0.0012240475,0.012316753,0.00028060112,0.00009142809,0.0001378772,0.000012767359,0.000008589088,0.026980877],"genre_scores_gemma":[0.9932514,0.000725803,0.0049802526,0.0005371684,0.00022722171,0.0000095666455,0.000013531866,0.000017088267,0.0002379711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881315,0.00002961852,0.0006526671,0.00025885305,0.000038022554,0.00020767466],"domain_scores_gemma":[0.998685,0.00007767131,0.0009312686,0.00017820124,0.00002320996,0.00010463598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087465567,0.00016547288,0.00036658073,0.000056911915,0.00030729332,0.000088140805,0.00027220743,0.00010429875,0.000049485607],"category_scores_gemma":[0.000013083868,0.00013376668,0.00019504839,0.00006983086,0.00021660686,0.00059448875,0.00006847126,0.00033526152,0.000016777336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028724382,0.00009746002,0.8635482,0.000024804325,0.00058584195,0.000002297976,0.013038585,0.00016854952,0.000001920457,0.118897595,0.00312568,0.00048034405],"study_design_scores_gemma":[0.0016720307,0.00019137273,0.9613116,0.00009214389,0.000118712596,0.00015475508,0.012891313,0.0018087693,0.000027111106,0.013165915,0.008132866,0.00043342952],"about_ca_topic_score_codex":0.000089408015,"about_ca_topic_score_gemma":0.000004289825,"teacher_disagreement_score":0.10573168,"about_ca_system_score_codex":0.00009821251,"about_ca_system_score_gemma":0.000036892776,"threshold_uncertainty_score":0.54548466},"labels":[],"label_agreement":null},{"id":"W2122489217","doi":"10.5539/ijms.v4n2p45","title":"Theoretical and Perceptual Market Values for Fresh Squeezed Orange Juice","year":2012,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Orange juice; Willingness to pay; Orange (colour); Perception; Advertising; Business; Fruit juice; Food science; Economics; Chemistry; Microeconomics; Psychology","score_opus":0.08575949700052785,"score_gpt":0.2892420473258641,"score_spread":0.20348255032533627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122489217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97948843,0.008046398,0.00064421265,0.0018063091,0.00146712,0.00008577691,0.000046844085,0.000005403967,0.008409512],"genre_scores_gemma":[0.99307036,0.0022030713,0.0033672547,0.00025606964,0.00079288223,0.0000069094067,0.000002229848,0.000011729239,0.0002894777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991099,0.000058224774,0.0005192075,0.00010679818,0.000060278555,0.00014556784],"domain_scores_gemma":[0.9985599,0.0008655327,0.00040345168,0.00004887873,0.00007330643,0.000048939317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043383124,0.000091268856,0.00024661515,0.000105433464,0.00006753698,0.00003350303,0.00013597994,0.00003810806,0.0008416667],"category_scores_gemma":[0.0018076283,0.00008738692,0.00009895305,0.000017068025,0.00016074817,0.00029142664,0.000078562785,0.00007942201,0.00001581848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009029447,0.00017069386,0.85691893,0.00005019307,0.0011821642,0.0000024236394,0.0037648585,0.000017908618,0.00006603408,0.103066206,0.028505467,0.0053521637],"study_design_scores_gemma":[0.0016853961,0.00010958848,0.94524676,0.0000904395,0.000047101956,0.000049340877,0.0036272078,0.0006552321,0.000044933655,0.034459285,0.013754909,0.00022978381],"about_ca_topic_score_codex":0.0000024510691,"about_ca_topic_score_gemma":8.0884894e-7,"teacher_disagreement_score":0.08832784,"about_ca_system_score_codex":0.00012830368,"about_ca_system_score_gemma":0.000004466403,"threshold_uncertainty_score":0.921566},"labels":[],"label_agreement":null},{"id":"W2122822397","doi":"10.1023/a:1020254301302","title":"Hybrid Choice Models: Progress and Challenges","year":2002,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":775,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Université Laval","funders":"","keywords":"Computer science; Context (archaeology); Latent variable; Discrete choice; Process (computing); Perception; Segmentation; Econometrics; Artificial intelligence; Machine learning; Psychology; Economics","score_opus":0.14852579386048126,"score_gpt":0.19262072004864406,"score_spread":0.0440949261881628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122822397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540184,0.01651546,0.00015380153,0.011498931,0.000120914796,0.000105401574,0.000009479214,0.000036087407,0.017541485],"genre_scores_gemma":[0.9943382,0.0036349497,0.00072633545,0.00092482293,0.00009266428,0.000021803187,0.0000032589328,0.000018744846,0.00023921866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923974,0.000022995751,0.00023145582,0.00030413212,0.00001889573,0.00018276263],"domain_scores_gemma":[0.99961865,0.000069478265,0.00012341831,0.00014406416,0.0000015567418,0.000042836935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005929989,0.000096515876,0.00014764808,0.000061941166,0.000073620104,0.000039750208,0.00007962961,0.000026239255,0.00033452737],"category_scores_gemma":[0.000036066755,0.00012101309,0.00003361271,0.000017675626,0.000062619416,0.00021654398,0.00004432034,0.00006649991,0.0002178826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023730927,0.00017894471,0.77610403,0.00029770928,0.00014196496,0.000012318507,0.0014272437,0.0008359055,0.00005902291,0.013931141,0.014070679,0.1929173],"study_design_scores_gemma":[0.0009983695,0.000036775262,0.76787263,0.000051257743,0.000010634298,0.000017238808,0.00009313911,0.16193874,0.000020345204,0.0031732777,0.065161735,0.0006258634],"about_ca_topic_score_codex":0.00001372329,"about_ca_topic_score_gemma":0.0000011571765,"teacher_disagreement_score":0.19229144,"about_ca_system_score_codex":0.000052731266,"about_ca_system_score_gemma":3.3578075e-7,"threshold_uncertainty_score":0.49347705},"labels":[],"label_agreement":null},{"id":"W2122955485","doi":"10.1002/2013wr014546","title":"Valuing water quality in urban watersheds: A comparative analysis of Johnson Creek, Oregon, and Burnt Bridge Creek, Washington","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Hydrology (agriculture); Water quality; Bridge (graph theory); Environmental science; Civil engineering; Engineering; Geotechnical engineering","score_opus":0.23261994129002658,"score_gpt":0.3325185615325402,"score_spread":0.09989862024251364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122955485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99452645,0.0002314389,0.00016315706,0.00028221396,0.000029169089,0.00024842232,0.000032755903,0.000011513353,0.00447486],"genre_scores_gemma":[0.99842995,0.00007705832,0.000082486535,0.00003985218,0.0000493626,0.00003283886,0.00010338042,0.000017266675,0.0011677872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99729997,0.00038312073,0.00091765256,0.0006328388,0.00015745079,0.00060899666],"domain_scores_gemma":[0.9991367,0.0001479283,0.00012765246,0.0004381187,0.000033273707,0.00011636521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006685416,0.00015563655,0.0007583397,0.00086632464,0.00017206823,0.00021078228,0.00030035048,0.00012179223,0.00069274113],"category_scores_gemma":[0.000054012184,0.00013627074,0.00013219075,0.0002948594,0.0002870861,0.00025826806,0.0003125529,0.00030654043,0.00021711609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058042046,0.0000993362,0.967998,0.000054114287,0.00021592468,0.0000010339447,0.027601777,0.0010726987,0.0019357322,0.0006011496,0.00012614974,0.00023601521],"study_design_scores_gemma":[0.00071854034,0.00014975303,0.9612527,0.000020778323,0.000026042644,5.3997866e-7,0.00062483444,0.014436673,0.004263672,0.0019897993,0.016269779,0.00024687618],"about_ca_topic_score_codex":0.02128644,"about_ca_topic_score_gemma":0.0021592833,"teacher_disagreement_score":0.026976941,"about_ca_system_score_codex":0.00019864083,"about_ca_system_score_gemma":0.0000026264909,"threshold_uncertainty_score":0.9852309},"labels":[],"label_agreement":null},{"id":"W2123201955","doi":"10.1016/s0167-6296(02)00003-6","title":"Do ordering effects matter in willingness-to-pay studies of health care?","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University Medical Centre; McMaster University; University of Calgary; McMaster Children's Hospital","funders":"Economic Research Institute; Canadian Institutes of Health Research; Economic and Social Research Institute; European Commission","keywords":"Willingness to pay; Contingent valuation; Actuarial science; Health care; Willingness to accept; Order (exchange); Valuation (finance); Ranking (information retrieval); Public economics; Health economics; Economics; Microeconomics; Economic growth; Accounting; Finance","score_opus":0.13430206529101738,"score_gpt":0.288331309662018,"score_spread":0.1540292443710006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123201955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582873,0.034211606,0.0005039444,0.0053482307,0.00093927846,0.00026680971,0.000015511701,0.0000031472778,0.00042418993],"genre_scores_gemma":[0.9844239,0.011254889,0.0020434195,0.0020877733,0.000098302335,0.000007117181,0.0000015295216,0.000026987515,0.000056101217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969616,0.00005587752,0.0023916168,0.00023724526,0.000025115723,0.00032856988],"domain_scores_gemma":[0.99740267,0.00010236881,0.0021571778,0.00020173319,0.000019469513,0.0001165809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018759744,0.00015396814,0.00108144,0.00035079988,0.000081211736,0.000021016223,0.00017899004,0.00005782931,0.0001554846],"category_scores_gemma":[0.000056762055,0.00016085079,0.000120954144,0.00009537462,0.000038848368,0.00028606222,0.000050588056,0.00019315787,0.00024153692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016043989,0.00012575481,0.95513314,0.0006083443,0.00008519076,0.0000012650287,0.009630601,0.012458444,0.0000020031596,0.001525398,0.0016189864,0.018794801],"study_design_scores_gemma":[0.002569243,0.0010190237,0.96922755,0.00042097637,0.000007590666,0.00002650326,0.0029880768,0.00097321975,0.000052268497,0.005439162,0.016845303,0.00043108079],"about_ca_topic_score_codex":0.00011602762,"about_ca_topic_score_gemma":0.00003960249,"teacher_disagreement_score":0.0261366,"about_ca_system_score_codex":0.0012276643,"about_ca_system_score_gemma":0.000049702034,"threshold_uncertainty_score":0.65593046},"labels":[],"label_agreement":null},{"id":"W2123361803","doi":"10.1111/j.1744-7976.2007.00119.x","title":"An Analysis of Congestion Effects Across and Within Multiple Recreation Activities","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Humanities; Recreation; Geography; Political science; Art","score_opus":0.053970313817753524,"score_gpt":0.17726862255458614,"score_spread":0.12329830873683262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123361803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977199,0.0004697648,0.00006012,0.0002596958,0.00061886146,0.0001968088,0.00045176107,0.0000058229457,0.00021728982],"genre_scores_gemma":[0.99877393,0.00023459469,0.00043194133,0.00008571341,0.0001545316,0.000009723532,0.00013107693,0.00001986063,0.00015864319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790555,0.00003535281,0.0012340478,0.00038502694,0.00000777423,0.0004322211],"domain_scores_gemma":[0.9972569,0.00013529073,0.0015235323,0.00023883635,0.00005037036,0.00079512235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005893927,0.00024823355,0.0009457774,0.0005575829,0.00025382792,0.00007204748,0.000258313,0.00017065226,0.00012260729],"category_scores_gemma":[0.00009520727,0.00026759936,0.0002544769,0.00017392306,0.0002477212,0.0012087164,0.00001517523,0.0001779103,0.0000123709515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003272449,0.000029334535,0.9246097,0.000029620778,0.0007764604,0.00001117281,0.006298708,0.045768086,0.000120467375,0.02191935,0.0000432701,0.00036110912],"study_design_scores_gemma":[0.00069608196,0.00033656228,0.9915617,0.000017992403,0.00013631822,0.00013239069,0.002000341,0.0032550306,0.00026204836,0.000961762,0.0003077698,0.00033199214],"about_ca_topic_score_codex":0.02713669,"about_ca_topic_score_gemma":0.47914636,"teacher_disagreement_score":0.45200968,"about_ca_system_score_codex":0.0012824963,"about_ca_system_score_gemma":0.00012700401,"threshold_uncertainty_score":0.99997765},"labels":[],"label_agreement":null},{"id":"W2123458876","doi":"10.1016/s0277-9536(02)00343-x","title":"Deliberations about deliberative methods: issues in the design and evaluation of public participation processes","year":2003,"lang":"en","type":"review","venue":"Social Science & Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":991,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Health Sciences Centre; McMaster University Medical Centre","funders":"","keywords":"Deliberation; Deliberative democracy; Public sector; Public health; Public relations; Public participation; Sociology; Health care; Political science; Democracy; Management science; Medicine; Politics; Economics; Law","score_opus":0.5376585915125494,"score_gpt":0.4668430166389479,"score_spread":0.07081557487360146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123458876","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009916644,0.98451686,0.009406531,0.00044397978,0.00013366077,0.0011011747,0.0000093304225,0.000004706947,0.0033920947],"genre_scores_gemma":[0.008625789,0.9893921,0.0012303657,0.000116414856,0.00010923832,0.00044177473,0.000030865336,0.000011569844,0.000041899704],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977477,0.0005962247,0.00088468124,0.00038110715,0.0001778296,0.00021245136],"domain_scores_gemma":[0.9987105,0.0002866728,0.00070961803,0.00014547331,0.000107065185,0.000040660092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019122453,0.00015814467,0.00070881227,0.0002809043,0.00027094828,0.000056728208,0.00024084846,0.000104312494,0.00016692259],"category_scores_gemma":[0.0017108931,0.000118907825,0.000043255568,0.000991923,0.0007314088,0.00044674447,0.000019784247,0.000129596,0.00001157463],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.1895236e-7,0.0000608177,0.0005216916,0.00043472496,0.000021238677,8.3556564e-8,0.016393159,0.00003069176,7.616757e-7,0.036192577,0.00016762507,0.946176],"study_design_scores_gemma":[0.00199018,0.00044764765,0.01654657,0.0025221354,0.0011122962,0.000010509697,0.0056661665,0.0063977065,0.000013452774,0.16474897,0.7993002,0.0012442021],"about_ca_topic_score_codex":0.000056191584,"about_ca_topic_score_gemma":0.000020403328,"teacher_disagreement_score":0.9449318,"about_ca_system_score_codex":0.00030872732,"about_ca_system_score_gemma":0.00029691192,"threshold_uncertainty_score":0.6627499},"labels":[],"label_agreement":null},{"id":"W2123540412","doi":"10.1111/1467-8276.00407","title":"The Effect of Age on the Probability of Participation in Wildlife‐Related Activities: A Birth Year Cohort Study","year":2002,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wildlife; Waterfowl; Recreation; Logistic regression; Geography; Demography; Ecology; Habitat; Biology; Statistics; Mathematics; Sociology","score_opus":0.027209230048722482,"score_gpt":0.2033861145183524,"score_spread":0.17617688446962992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123540412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799013,0.000058750797,0.0000018967353,0.00038537482,0.00011140669,0.00043487683,0.000013109643,0.0000021197036,0.0010023366],"genre_scores_gemma":[0.9995424,0.00029617484,0.000020344281,0.000024081675,0.000025322743,0.000019183533,0.0000013067853,0.0000071044965,0.00006408042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985197,0.00012924698,0.0010297949,0.0001455173,0.000035497582,0.0001401987],"domain_scores_gemma":[0.99761856,0.00045953158,0.0016900838,0.00018572764,0.000010608529,0.00003551677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014174962,0.00011853873,0.000510401,0.000061340324,0.000055798646,0.000021067803,0.00021146856,0.00002855039,0.00007973591],"category_scores_gemma":[0.00011982046,0.00006762298,0.0001479127,0.00013435815,0.00022907603,0.00017996455,0.00002598197,0.00016860431,0.000020595195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053543663,0.00016427718,0.98888534,0.0000042075367,0.000137854,2.7296917e-7,0.0011192558,0.006949832,0.000010604974,0.0013891006,0.000060101018,0.0012256297],"study_design_scores_gemma":[0.00057548087,0.001767921,0.99502033,0.000011557216,0.000017397908,0.0000022259103,0.0016066796,0.0003495256,0.00010953118,0.00038621586,0.00006946108,0.00008368292],"about_ca_topic_score_codex":0.00010793557,"about_ca_topic_score_gemma":0.000051045692,"teacher_disagreement_score":0.006600307,"about_ca_system_score_codex":0.00022805286,"about_ca_system_score_gemma":0.0000048904735,"threshold_uncertainty_score":0.27575853},"labels":[],"label_agreement":null},{"id":"W2123882766","doi":"10.1111/fme.12003","title":"Estimating recreational harvest using interview‐based recall survey: implication of recalling in weight or numbers","year":2012,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Western Grains Research Foundation","keywords":"Recreation; Recall; Statistics; Recreational fishing; Psychology; Demography; Geography; Mathematics; Biology; Ecology; Cognitive psychology; Sociology","score_opus":0.1795224796000756,"score_gpt":0.25868256657857563,"score_spread":0.07916008697850002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123882766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98840165,0.00015530549,0.0073795808,0.00015603316,0.00029195397,0.00020705309,0.000024493913,0.000008089226,0.003375843],"genre_scores_gemma":[0.97594714,0.0001482255,0.023147097,0.0001236769,0.000038289905,0.000036165213,0.00010994899,0.000012076382,0.00043737152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907345,0.000044740627,0.0004882469,0.00019319006,0.000015882579,0.00018450907],"domain_scores_gemma":[0.9994926,0.00007920145,0.00027779164,0.00011235578,0.0000053715216,0.000032675474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010346986,0.00008875301,0.00022752162,0.00011896685,0.00005105441,0.000016347356,0.00007104547,0.00006458194,0.0008171735],"category_scores_gemma":[0.00004539434,0.00010111074,0.000025183195,0.00009611243,0.000056454643,0.00033386436,0.000061823004,0.00004912204,0.000028307491],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022211107,0.000051897736,0.9946802,0.00005625457,0.000021833015,2.1709654e-7,0.00011049545,0.0004752464,0.0000028691938,0.0031811458,0.00013314381,0.0012644541],"study_design_scores_gemma":[0.00037157504,0.000032789398,0.96748275,0.000018591705,0.0000068915115,7.8042603e-7,0.000043484364,0.028960997,0.000013944018,0.0010622175,0.0018997762,0.00010623662],"about_ca_topic_score_codex":0.00024419173,"about_ca_topic_score_gemma":0.00042594504,"teacher_disagreement_score":0.02848575,"about_ca_system_score_codex":0.00013436696,"about_ca_system_score_gemma":0.000004148121,"threshold_uncertainty_score":0.8947477},"labels":[],"label_agreement":null},{"id":"W2123909899","doi":"10.1017/s107407080000314x","title":"Best Management Practices to Enhance Water Quality: Who is Adopting Them?","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Lethbridge","funders":"","keywords":"Riparian buffer; Riparian zone; Agricultural science; Buffer strip; Business; Quality (philosophy); Manure management; Manure; Agricultural engineering; Club; Production (economics); Residence; Agricultural economics; Environmental science; Water quality; Agronomy; Economics; Engineering; Ecology; Biology; Demographic economics","score_opus":0.08045208084254525,"score_gpt":0.24936895742508391,"score_spread":0.16891687658253868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123909899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97390616,0.00015609665,0.000110304914,0.004130052,0.00012042686,0.00014458594,0.000010144174,0.0000049596792,0.021417297],"genre_scores_gemma":[0.99227107,0.0013594535,0.0032897235,0.0015282336,0.00023796571,0.0000040311393,0.0000046520945,0.0000071378436,0.0012977194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986547,0.0000058056517,0.00084636814,0.00025349754,0.000024834237,0.00021479372],"domain_scores_gemma":[0.99871,0.000019667521,0.0010354163,0.00010657158,0.000011734158,0.00011665732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054893264,0.00015520246,0.00038994942,0.00006148141,0.00010480709,0.00013245952,0.00016235655,0.000062311476,0.00015028215],"category_scores_gemma":[0.0000064450123,0.00011343883,0.00009068289,0.000037355996,0.000018000812,0.00044128133,0.00005561609,0.00012648848,0.00048749187],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063945306,0.0015518591,0.09304852,0.0003225968,0.0016893757,0.0000050517096,0.019612638,0.04055177,0.0074887937,0.5927276,0.014293313,0.22806905],"study_design_scores_gemma":[0.00074572675,0.00024041516,0.953937,0.00003941881,0.000042972573,0.000044383774,0.003043015,0.000016269203,0.008133832,0.015019265,0.018176416,0.0005612779],"about_ca_topic_score_codex":0.000008264976,"about_ca_topic_score_gemma":0.00000204761,"teacher_disagreement_score":0.8608885,"about_ca_system_score_codex":0.00012346898,"about_ca_system_score_gemma":0.0000022296672,"threshold_uncertainty_score":0.6265884},"labels":[],"label_agreement":null},{"id":"W2124116209","doi":"10.1111/0002-9092.00167","title":"Empirical Specification Requirements for Two‐Constraint Models of Recreation Choice","year":2001,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Constraint (computer-aided design); Economics; Recreation; Econometrics; Mathematical economics; Microeconomics; Marginal utility; Observable; Specification; Mathematics","score_opus":0.16570860398225257,"score_gpt":0.27854688411141415,"score_spread":0.11283828012916158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124116209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98604447,0.00016048735,0.009676538,0.0009948887,0.00023755689,0.00020435524,0.00005093807,0.000005322446,0.0026254435],"genre_scores_gemma":[0.9901497,0.0007818604,0.008475969,0.00012783242,0.00026966748,0.00000910503,0.000036827616,0.000013335846,0.00013571049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826187,0.00001852575,0.0012900769,0.00021875055,0.000027899996,0.00018284887],"domain_scores_gemma":[0.9972898,0.000098601464,0.002305585,0.00014358782,0.00006444834,0.00009797325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005240053,0.00014179952,0.0005142715,0.00012614859,0.000054405224,0.000030249867,0.00020275071,0.000042806118,0.000082071725],"category_scores_gemma":[0.00004956509,0.00013226466,0.0002310862,0.00010581143,0.00013603682,0.0007123836,0.000020057047,0.0000899872,0.00002369949],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044624158,0.000804636,0.6384225,0.00004165554,0.0008842977,0.0000011888361,0.0024054032,0.17059101,0.0022922452,0.11741989,0.0024724917,0.06421842],"study_design_scores_gemma":[0.0027551956,0.0012398204,0.9537107,0.00004133438,0.00006940426,0.00009947162,0.0025360128,0.0070002275,0.00091045,0.025182301,0.005917002,0.0005381239],"about_ca_topic_score_codex":0.000067990695,"about_ca_topic_score_gemma":0.000012236793,"teacher_disagreement_score":0.31528813,"about_ca_system_score_codex":0.00038584988,"about_ca_system_score_gemma":0.00002249558,"threshold_uncertainty_score":0.5393596},"labels":[],"label_agreement":null},{"id":"W2124225749","doi":"10.1093/jpe/rtr042","title":"Dealing with detection error in site occupancy surveys: what can we do with a single survey?","year":2012,"lang":"en","type":"article","venue":"Journal of Plant Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Occupancy; Replicate; Estimator; Independence (probability theory); Population; Statistics; Closure (psychology); Geography; Computer science; Ecology; Mathematics; Biology; Demography","score_opus":0.09693643996269223,"score_gpt":0.21799087408511922,"score_spread":0.12105443412242699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124225749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973221,0.0009966429,0.00088977773,0.000114875336,0.00040353157,0.00009257529,0.00006599804,0.0000029897005,0.0001115082],"genre_scores_gemma":[0.99905556,0.00042152894,0.0003133407,0.00006459501,0.00008123838,0.000003422576,0.000016400556,0.000014756931,0.000029169778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893343,0.00010553317,0.0005381973,0.00013337444,0.000029347784,0.00026009],"domain_scores_gemma":[0.9989549,0.00012237606,0.00073933083,0.00008697415,0.00001437084,0.00008202641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023493858,0.000110406145,0.00036188003,0.0002569537,0.00004470291,0.00003648687,0.0000744842,0.00009021068,0.00015466422],"category_scores_gemma":[0.00003591656,0.00009889414,0.000034284025,0.00008995957,0.000034676745,0.00049621466,0.000014623199,0.00017985681,0.000052836836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010996333,0.000111709276,0.9972351,0.000006410101,0.000040039136,0.000009106156,0.000501743,0.0010986594,0.000055330096,0.00010700948,0.000008659445,0.0007162626],"study_design_scores_gemma":[0.0008952246,0.0005219651,0.9971642,0.000032633623,0.000008549242,0.00021517805,0.0003217342,0.00021335842,0.000100225676,0.00014288146,0.00024933886,0.00013469238],"about_ca_topic_score_codex":0.0002830489,"about_ca_topic_score_gemma":0.015102321,"teacher_disagreement_score":0.014819272,"about_ca_system_score_codex":0.00031426578,"about_ca_system_score_gemma":0.000017848371,"threshold_uncertainty_score":0.84274495},"labels":[],"label_agreement":null},{"id":"W2124356239","doi":"10.1155/2013/192656","title":"Total Economic Value of Wetlands Products and Services in Uganda","year":2013,"lang":"en","type":"article","venue":"The Scientific World JOURNAL","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Makerere University; National Agricultural Research Organisation; International Development Research Centre","keywords":"Wetland; Food security; Agricultural economics; Groundwater recharge; Total economic value; Flood control; Hectare; Geography; Per capita; Agriculture; Environmental science; Ecosystem services; Flood myth; Economics; Ecology; Ecosystem; Population","score_opus":0.029571678383875644,"score_gpt":0.1920312417046486,"score_spread":0.16245956332077297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124356239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934375,0.00071583915,0.000007248679,0.0014355319,0.00081619766,0.0001324911,0.000011310468,0.0000028787597,0.0034409924],"genre_scores_gemma":[0.9955905,0.000066904984,0.00015463732,0.000039183815,0.00009591502,0.0000049641085,0.0000034260925,0.0000069380403,0.004037538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991039,0.000018695619,0.00047386263,0.00020776669,0.000028143706,0.00016761885],"domain_scores_gemma":[0.9994363,0.000022247452,0.0003050828,0.00018596298,0.000007902984,0.000042487492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013606034,0.00007525095,0.00017326821,0.00022766193,0.0001550176,0.00022285593,0.00018017332,0.000019657753,0.0008705615],"category_scores_gemma":[0.000007914264,0.00006248391,0.000035587258,0.000121638375,0.00015134219,0.00043289273,0.00006310588,0.00012048212,0.00048650693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009656451,0.00006402542,0.9688991,0.000034960052,0.000032339587,6.2505467e-7,0.0021443877,0.0029917618,0.00094204745,0.02078303,0.001716639,0.0023814468],"study_design_scores_gemma":[0.00047305506,0.000020225643,0.960388,0.000022201442,0.0000040823397,0.000026909218,0.00031018307,0.0076000863,0.00044842318,0.028712327,0.001877262,0.00011722462],"about_ca_topic_score_codex":0.00019395296,"about_ca_topic_score_gemma":0.00013604743,"teacher_disagreement_score":0.008511061,"about_ca_system_score_codex":0.00008455067,"about_ca_system_score_gemma":0.00001477715,"threshold_uncertainty_score":0.9532038},"labels":[],"label_agreement":null},{"id":"W2124438940","doi":"10.5539/ep.v1n2p14","title":"The Willingness to Pay for the Ecological Compensation of Min River Basin -- Based on the Survey of Chengdu 282 Households","year":2012,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Willingness to pay; Compensation (psychology); Structural basin; Upstream (networking); Downstream (manufacturing); Drainage basin; Valuation (finance); Upstream and downstream (DNA); Geography; Environmental science; Ecology; Economics; Engineering; Psychology; Operations management; Microeconomics; Geology","score_opus":0.11980460921674725,"score_gpt":0.21445373682262117,"score_spread":0.09464912760587392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124438940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893751,0.00029774423,0.007136538,0.0022849848,0.00015726812,0.00046131446,0.00015076855,0.0000025676106,0.00013367095],"genre_scores_gemma":[0.999143,0.00021690439,0.00010789224,0.00028692154,0.000040607607,0.000034169832,0.00002022254,0.0000073752267,0.00014287671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993648,0.00006060518,0.00028635707,0.00011806029,0.000036607424,0.00013359281],"domain_scores_gemma":[0.9991172,0.00045133696,0.0002172996,0.00018495074,0.0000023634188,0.000026878946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001975003,0.00007840973,0.00013014558,0.000016486561,0.00019183596,0.000009337706,0.00009587259,0.00005033625,0.00010441035],"category_scores_gemma":[0.00006897793,0.000042891243,0.000048427682,0.000034631033,0.00013808269,0.000055609693,0.000026290832,0.000048187085,0.000033635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000626201,0.000111853464,0.9778276,0.0000046108066,0.000021570744,5.7524487e-9,0.00034539815,0.006767628,0.000061585626,0.012000545,0.00034621725,0.0024503446],"study_design_scores_gemma":[0.00024127886,0.000097702636,0.98259157,0.0000026980003,0.000008791775,6.871108e-8,0.000048431073,0.008124877,0.0003196048,0.00040505675,0.008098118,0.00006180688],"about_ca_topic_score_codex":0.00013191887,"about_ca_topic_score_gemma":0.000013075648,"teacher_disagreement_score":0.0115954885,"about_ca_system_score_codex":0.00007224493,"about_ca_system_score_gemma":0.0000027599503,"threshold_uncertainty_score":0.17490542},"labels":[],"label_agreement":null},{"id":"W2124709009","doi":"10.1177/0739456x13513614","title":"Measuring and Reporting Intercoder Reliability in Plan Quality Evaluation Research","year":2014,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quality (philosophy); Plan (archaeology); Reliability (semiconductor); Criticism; Measure (data warehouse); Computer science; Subject (documents); Management science; Relation (database); Risk analysis (engineering); Data mining; Medicine; Engineering; Political science; Epistemology","score_opus":0.7623761767969867,"score_gpt":0.49777894613982293,"score_spread":0.26459723065716373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124709009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915243,0.0013173302,0.00013615351,0.0009407045,0.00019317337,0.0001346192,8.354561e-7,0.0000017286386,0.00575118],"genre_scores_gemma":[0.9989672,0.0001171234,0.00056046277,0.000023974239,0.00014276072,0.00000939791,0.0000027404367,0.0000062170584,0.0001701546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977338,0.00049853284,0.0011769917,0.00021221362,0.00019361159,0.0001848927],"domain_scores_gemma":[0.99847096,0.00043067342,0.00069712324,0.0001318217,0.00018255805,0.00008688124],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06755305,0.00005154194,0.00021562217,0.00058452913,0.00014932326,0.00008840125,0.00008481526,0.000067566885,0.00005174886],"category_scores_gemma":[0.0073187007,0.000051554132,0.000023521206,0.00015323963,0.00010294363,0.00027069,0.000053809887,0.0005322152,0.0000112518965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019705265,0.00008377381,0.98482823,0.00004128185,0.0000047299964,2.9718464e-7,0.0040747123,0.00022988372,0.00009942159,0.0021888462,0.00027833105,0.008150798],"study_design_scores_gemma":[0.0002944391,0.000071940056,0.9634073,0.00011155785,0.0000011989379,0.000014107337,0.0028141676,0.0033716795,0.000044189375,0.028303884,0.0015102997,0.000055271274],"about_ca_topic_score_codex":0.0002635851,"about_ca_topic_score_gemma":0.000012740295,"teacher_disagreement_score":0.060234353,"about_ca_system_score_codex":0.0003128284,"about_ca_system_score_gemma":0.000101791105,"threshold_uncertainty_score":0.96015036},"labels":[],"label_agreement":null},{"id":"W2125019239","doi":"10.1016/j.healthpol.2007.09.016","title":"Prevention versus cure: Measuring parental preferences for sealants and fillings as treatments for childhood caries in Southern Thailand","year":2007,"lang":"en","type":"article","venue":"Health Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Royal Golden Jubilee (RGJ) Ph.D. Programme","keywords":"Medicine; Willingness to pay; Bidding; Dentistry; Family medicine; Environmental health; Economics","score_opus":0.20258131047839928,"score_gpt":0.3306945508279315,"score_spread":0.1281132403495322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125019239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960357,0.0010540453,0.0004450922,0.0004957126,0.00012931351,0.00078732654,0.00032580856,0.000011004266,0.0007159738],"genre_scores_gemma":[0.9981711,0.0005221797,0.00044785888,0.00014545629,0.00013123795,0.00009584131,0.000111430556,0.0000144948335,0.0003603901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990699,0.0000077419045,0.00037570402,0.00023799443,0.000018862764,0.00028976874],"domain_scores_gemma":[0.9995641,0.000063027306,0.00022049068,0.00007251695,0.0000034552115,0.00007641307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052564684,0.00009697637,0.00020667643,0.00012567024,0.000123256,0.000021334527,0.00004345949,0.0000583188,0.000014216716],"category_scores_gemma":[0.000044685632,0.0001092832,0.00004238953,0.000041430496,0.0000215144,0.0001085649,0.000013702494,0.000038002676,0.000024138564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025954508,0.00018771189,0.9545669,0.00011614805,0.00007586276,1.2730276e-7,0.011520107,0.000054040007,0.0000019980207,0.010391218,0.000107592605,0.022718761],"study_design_scores_gemma":[0.0050327377,0.0006408935,0.9602404,0.000041370706,0.000008414729,0.0000013197077,0.0014052802,0.0003070551,0.000032681768,0.030019103,0.0020888662,0.00018183191],"about_ca_topic_score_codex":0.0038726598,"about_ca_topic_score_gemma":0.0019075416,"teacher_disagreement_score":0.022536928,"about_ca_system_score_codex":0.00027648636,"about_ca_system_score_gemma":0.000044089098,"threshold_uncertainty_score":0.5854329},"labels":[],"label_agreement":null},{"id":"W2125102844","doi":"","title":"Valuing a hypothetical cure for rheumatoid arthritis using the contingent valuation methodology: the patient perspective.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Medicine; Willingness to pay; Public health; Actuarial science; Socioeconomic status; Family medicine; Health economics; Payment; Valuation (finance); Health care; Household income; Environmental health; Nursing; Finance; Economics","score_opus":0.28471501940529104,"score_gpt":0.2633717057648664,"score_spread":0.021343313640424633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125102844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90392524,0.006943485,0.07194116,0.012453615,0.0005173938,0.0020097338,0.000046598758,0.000027316843,0.002135433],"genre_scores_gemma":[0.9926983,0.00047800766,0.0048330557,0.00057701947,0.00017090021,0.0011388299,0.000004664339,0.000020648391,0.000078569894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988453,0.00008689413,0.0004398803,0.00029450012,0.000039968254,0.00029349988],"domain_scores_gemma":[0.9991471,0.00028799326,0.00028045825,0.00022378875,0.0000201089,0.00004050598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002130893,0.00011008317,0.00020401142,0.0000472717,0.0002926249,0.00006371284,0.00014079829,0.000062727275,0.00007465444],"category_scores_gemma":[0.00039541017,0.00008612404,0.00013214396,0.000057576304,0.00010399592,0.00014686116,0.000047977817,0.00010355457,0.000047502166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005806333,0.00018630028,0.030991698,0.000008246128,0.00022902922,3.1985175e-7,0.008339607,0.009948111,0.000045188717,0.5823216,0.0010714247,0.3668004],"study_design_scores_gemma":[0.0031677927,0.00011239221,0.44628808,0.000021307545,0.00005917426,0.00006162806,0.0070404396,0.14003094,0.0011516945,0.29695138,0.10432191,0.0007932742],"about_ca_topic_score_codex":0.00007431204,"about_ca_topic_score_gemma":0.000024572542,"teacher_disagreement_score":0.41529638,"about_ca_system_score_codex":0.00037458426,"about_ca_system_score_gemma":0.00000788881,"threshold_uncertainty_score":0.35120362},"labels":[],"label_agreement":null},{"id":"W2125466498","doi":"10.1007/s11111-013-0199-3","title":"Environmental quality and fertility: the effects of plant density, species richness, and plant diversity on fertility limitation","year":2013,"lang":"en","type":"article","venue":"Population and Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Species richness; Fertility; Diversity (politics); Ecology; Geography; Biodiversity; Population; Socioeconomics; Demography; Biology; Sociology","score_opus":0.07765262970530097,"score_gpt":0.19581051340293743,"score_spread":0.11815788369763645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125466498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983992,0.00045091155,0.000112052636,0.0003936281,0.00005181241,0.00038078832,0.00010003284,0.000006663362,0.00010490179],"genre_scores_gemma":[0.99863344,0.0009248754,0.00006062769,0.00016272016,0.000010165858,0.000016627213,0.000099756755,0.0000062206755,0.000085554195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991355,0.000044473687,0.00033735402,0.00030445593,0.00006153895,0.00011671193],"domain_scores_gemma":[0.9994467,0.00011533511,0.00020930299,0.00016662171,8.0184697e-7,0.00006123269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030438835,0.00012734819,0.00021729832,0.0000395238,0.00023977969,0.00002677998,0.000047120004,0.000061311526,0.00011377253],"category_scores_gemma":[0.00002500953,0.00011427618,0.000030312676,0.000013636054,0.00015410814,0.00017567868,0.00019488581,0.000068826324,0.000050810748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020169431,0.000074465635,0.99559855,0.00003703705,0.000018824141,1.433971e-7,0.0004813382,0.000025565661,0.00020211627,0.002204337,0.000018948089,0.0013185233],"study_design_scores_gemma":[0.000377382,0.00006660023,0.9904605,0.0000067886303,0.0000122636175,7.56549e-7,0.0001667235,0.0008944927,0.000110614565,0.0076725227,0.00011118298,0.000120161756],"about_ca_topic_score_codex":0.0005077985,"about_ca_topic_score_gemma":0.000014158331,"teacher_disagreement_score":0.005468186,"about_ca_system_score_codex":0.00010135673,"about_ca_system_score_gemma":6.212341e-7,"threshold_uncertainty_score":0.46600473},"labels":[],"label_agreement":null},{"id":"W2125794917","doi":"10.1111/j.1466-8238.2011.00670.x","title":"Carrying capacity for species richness as a context for conservation: a case study of North American breeding birds","year":2011,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Montana; U.S. Department of the Interior","keywords":"Species richness; Geography; Ecology; Context (archaeology); Biodiversity; Arid; Productivity; Biology","score_opus":0.1273952353764071,"score_gpt":0.23470433351548273,"score_spread":0.10730909813907563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125794917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970633,0.000090832546,0.00071542955,0.00006556389,0.00019661595,0.0007364636,0.0006837689,0.00001375765,0.00043426247],"genre_scores_gemma":[0.99857736,0.000032786174,0.0009398425,0.0002429536,0.000027534958,0.0001510397,0.000016254067,0.0000061057135,0.0000061396477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990963,0.000012379564,0.000395092,0.0002971889,0.0000128369375,0.000186199],"domain_scores_gemma":[0.99939066,0.00006449635,0.00036297913,0.00010736808,0.00002483189,0.000049682665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026565706,0.00011599485,0.00034760783,0.000116138806,0.00018677946,0.000011069312,0.00007456255,0.00004984582,0.000024162217],"category_scores_gemma":[0.00003209449,0.00013139565,0.000099690136,0.00020334945,0.00027905894,0.00010428223,0.00003372829,0.000033556516,0.00000372443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006288899,0.00021108545,0.9832097,0.000018165792,0.0001417191,0.0000035928288,0.00063074,0.0000017597367,9.0339216e-7,0.014961583,0.0000621018,0.00069572066],"study_design_scores_gemma":[0.0011467854,0.0013690181,0.9875025,0.000001673303,0.000039735874,0.000045957382,0.0045062993,0.00010699017,0.0000074572613,0.0046068733,0.00052133773,0.00014538306],"about_ca_topic_score_codex":0.0060069524,"about_ca_topic_score_gemma":0.014122276,"teacher_disagreement_score":0.01035471,"about_ca_system_score_codex":0.00005053023,"about_ca_system_score_gemma":0.0000069955163,"threshold_uncertainty_score":0.9080755},"labels":[],"label_agreement":null},{"id":"W2125983281","doi":"10.1371/journal.pone.0023254","title":"Achieving Conservation when Opportunity Costs Are High: Optimizing Reserve Design in Alberta's Oil Sands Region","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Forest Resource Improvement Association of Alberta; University of Alberta","keywords":"Context (archaeology); Opportunity cost; Environmental resource management; Resource (disambiguation); Process (computing); Business; Environmental economics; Natural resource economics; Environmental science; Computer science; Economics; Geography","score_opus":0.41328353380408994,"score_gpt":0.21318843889307965,"score_spread":0.2000950949110103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125983281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98330283,0.00017841317,0.0013218233,0.0011214373,0.000056166256,0.00016973665,0.000011320003,0.000023217342,0.013815061],"genre_scores_gemma":[0.98610216,0.0005318098,0.011063641,0.0004503217,0.000041067564,0.000059668168,0.000046031393,0.00002821316,0.0016770557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987757,0.000057630416,0.00054887467,0.0003492539,0.00003957404,0.00022893242],"domain_scores_gemma":[0.9990606,0.00010030302,0.00043190626,0.000300129,0.000013267391,0.00009382284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006987057,0.00013783494,0.0003430636,0.00017144761,0.000085050204,0.000031227624,0.00016373757,0.00012277252,0.0006181363],"category_scores_gemma":[0.00024847814,0.00018215738,0.000041704367,0.000085893706,0.000041670155,0.00052669406,0.000064706786,0.00015654077,0.00026381557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006216745,0.00062198465,0.99069744,0.00004560342,0.00006940681,0.000005184697,0.001006536,0.00009546907,0.00009448088,0.0066307876,0.00028827408,0.0003826784],"study_design_scores_gemma":[0.0015493331,0.0001656162,0.9730333,0.00034749665,0.00003590514,0.0000020738341,0.00030635344,0.011709438,0.001564735,0.0106443325,0.000111621164,0.00052980694],"about_ca_topic_score_codex":0.0068051615,"about_ca_topic_score_gemma":0.0007595629,"teacher_disagreement_score":0.017664138,"about_ca_system_score_codex":0.00038115043,"about_ca_system_score_gemma":0.000015121876,"threshold_uncertainty_score":0.9998086},"labels":[],"label_agreement":null},{"id":"W2126161115","doi":"10.1177/0734242x14539720","title":"Municipal solid waste management in rural areas and small counties: An economic analysis using contingent valuation to estimate willingness to pay for Yunnan, China","year":2014,"lang":"en","type":"article","venue":"Waste Management & Research The Journal for a Sustainable Circular Economy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Contingent valuation; Willingness to pay; Solid waste management; China; Business; Valuation (finance); Municipal solid waste; Economics; Natural resource economics; Socioeconomics; Environmental planning; Geography; Waste management; Finance; Engineering; Microeconomics","score_opus":0.08985660636694227,"score_gpt":0.3307756915338176,"score_spread":0.24091908516687532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126161115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.839703,0.00020766903,0.1542473,0.00064157345,0.00014607936,0.003506119,0.00001864343,0.000010994382,0.0015186033],"genre_scores_gemma":[0.99354285,0.00015870485,0.0026405908,0.00019180433,0.00019469907,0.0006842719,0.00004903322,0.00006571396,0.0024723313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996739,0.00020304156,0.0011343516,0.0006519075,0.00010522729,0.0011665134],"domain_scores_gemma":[0.9983909,0.00013420601,0.00043136923,0.0006400921,0.00009863204,0.00030477325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.014850826,0.00030595384,0.00064739987,0.0015249974,0.0010057234,0.0007930855,0.00068542396,0.00007829462,0.00004571251],"category_scores_gemma":[0.00008755923,0.0002972196,0.0002215972,0.00043455846,0.00007363445,0.0007546704,0.00046003755,0.0002343358,0.000028146878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023437844,0.00011940738,0.020797404,0.00047830358,0.0010937083,0.00000567279,0.0025615662,0.89490265,0.0000064498486,0.07614405,0.00013557276,0.0035208263],"study_design_scores_gemma":[0.0023337016,0.00040956415,0.015637798,0.000060005535,0.00031665055,0.0000056518975,0.029655157,0.850105,0.000027309707,0.081768796,0.019171964,0.0005083913],"about_ca_topic_score_codex":0.00068852515,"about_ca_topic_score_gemma":0.0002099424,"teacher_disagreement_score":0.15383984,"about_ca_system_score_codex":0.0019319754,"about_ca_system_score_gemma":0.000026856831,"threshold_uncertainty_score":0.99994797},"labels":[],"label_agreement":null},{"id":"W2126566750","doi":"10.1007/s00267-010-9463-9","title":"Science-Seeking Behaviour of Conservation Authorities in Ontario","year":2010,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Environment and Climate Change Canada","funders":"Department for Environment, Food and Rural Affairs, UK Government","keywords":"Nature Conservation; Forest management; Conservation science; Wildlife conservation; Environmental protection; Environmental planning; Agroforestry; Geography; Forestry; Ecology; Environmental science; Biodiversity; Wildlife; Biology","score_opus":0.05058443925589399,"score_gpt":0.19228503847248887,"score_spread":0.1417005992165949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126566750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96554726,0.000028046876,0.00016078787,0.000077119905,0.00032868778,0.00020969144,0.000011341716,0.0000067443834,0.03363031],"genre_scores_gemma":[0.99515724,0.000023065286,0.0017894941,0.00006788083,0.000010973254,0.00002178299,0.000017919516,0.000009557983,0.0029021027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903554,0.000003910433,0.00042356443,0.00029696367,0.000059331174,0.00018068773],"domain_scores_gemma":[0.99955904,0.000006588522,0.00017566505,0.00022153767,7.0767805e-7,0.000036443715],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005823687,0.000093053495,0.00015099767,0.00030411765,0.0000676916,0.00002174904,0.00017758874,0.00003973157,0.0018889069],"category_scores_gemma":[0.0000033944746,0.00012322336,0.00003880941,0.00008681125,0.00023886783,0.00031340698,0.0001340695,0.00013607531,0.00023754596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028617644,0.00011622871,0.92741686,0.0000048055476,0.0000060496754,0.0000011603379,0.00037327583,0.000051084433,0.0014610782,0.070205115,0.00001684553,0.0003446447],"study_design_scores_gemma":[0.00037327196,0.00003202329,0.9917985,0.0000055685487,0.0000038525145,7.543229e-7,0.00040332988,0.00035889438,0.00034862326,0.004276351,0.0022754583,0.0001233451],"about_ca_topic_score_codex":0.0056274976,"about_ca_topic_score_gemma":0.005971969,"teacher_disagreement_score":0.06592876,"about_ca_system_score_codex":0.0004589547,"about_ca_system_score_gemma":0.000008284057,"threshold_uncertainty_score":0.9990235},"labels":[],"label_agreement":null},{"id":"W2126669503","doi":"10.1017/s0266462309990055","title":"A valuation of patients' willingness-to-pay for insulin delivery in diabetes","year":2009,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Willingness to pay; Insulin delivery; Diabetes mellitus; Valuation (finance); Contingent valuation; Medicine; Insulin; Business; Public economics; Intensive care medicine; Internal medicine; Economics; Endocrinology; Type 1 diabetes; Finance; Microeconomics","score_opus":0.04128426648376799,"score_gpt":0.2987657158640174,"score_spread":0.2574814493802494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126669503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98721987,0.0007385021,0.002665645,0.00850114,0.00045927233,0.00028384008,0.00006820972,0.000004356087,0.000059173955],"genre_scores_gemma":[0.9922741,0.00025802953,0.0068516927,0.00051568897,0.0000396207,0.000015268608,0.000036129924,0.000006146889,0.0000033057627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984723,0.000014719675,0.001166995,0.0001424995,0.00006786617,0.00013565378],"domain_scores_gemma":[0.9988085,0.00004422017,0.00091462873,0.00008065588,0.00012380477,0.000028187429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007032677,0.00007356241,0.00029351044,0.000872313,0.00001777157,0.000008106155,0.00025876053,0.00009199637,0.00002062487],"category_scores_gemma":[0.00012586785,0.00007919685,0.00006009785,0.00013789149,0.000016294605,0.00017920426,0.000026452897,0.00017024191,0.0000035748965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003095812,0.0001789501,0.95517254,0.000017784494,0.000015397229,4.5991402e-7,0.00027300336,0.0029111693,0.000013111367,0.014605995,0.00002770471,0.026752915],"study_design_scores_gemma":[0.0014885032,0.00063634646,0.96833974,0.00010158886,0.000001580581,4.7441594e-7,0.00039132382,0.0010239914,0.00009747202,0.02701992,0.0008267677,0.0000722771],"about_ca_topic_score_codex":0.00002129603,"about_ca_topic_score_gemma":0.000017860337,"teacher_disagreement_score":0.026680637,"about_ca_system_score_codex":0.0009876796,"about_ca_system_score_gemma":0.000072763425,"threshold_uncertainty_score":0.32295537},"labels":[],"label_agreement":null},{"id":"W2126895329","doi":"10.1002/atr.219","title":"Highway drivers' willingness to pay for speeding violations in Taiwan","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Transport engineering; Business; Forensic engineering; Engineering; Economics; Microeconomics","score_opus":0.053528315781289984,"score_gpt":0.24415675732420553,"score_spread":0.19062844154291553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126895329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9347469,0.00016791989,0.063642085,0.0004232853,0.0006859937,0.0001740271,0.000038935745,0.000003977444,0.00011683953],"genre_scores_gemma":[0.9826233,0.000058939986,0.016991334,0.00006590115,0.00016480158,0.000009475834,0.00002583277,0.00001184721,0.000048595022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991074,0.0000035162443,0.0006209597,0.000091953145,0.000027180826,0.00014895282],"domain_scores_gemma":[0.9994293,0.000024534906,0.00039752203,0.00005080401,0.000024340416,0.00007350314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040569727,0.000069280795,0.00019407299,0.00016153925,0.00003861875,0.000008626924,0.000058582962,0.000039257106,0.00005243046],"category_scores_gemma":[0.000029844432,0.00007215869,0.00006941323,0.000119161574,0.000007144829,0.00084903615,0.0000011357621,0.000072232375,0.00002257336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040834355,0.00006830172,0.9167396,0.000012447205,0.000013518537,3.495001e-7,0.003661637,0.06510882,0.00074576616,0.011850793,0.0000373314,0.001720616],"study_design_scores_gemma":[0.0008344549,0.00007589858,0.98835975,0.000022936669,0.000008111277,7.617634e-7,0.00059809716,0.00013095219,0.00028804934,0.003990866,0.0055896156,0.000100519035],"about_ca_topic_score_codex":0.00000448394,"about_ca_topic_score_gemma":0.000022792416,"teacher_disagreement_score":0.07162015,"about_ca_system_score_codex":0.00015985515,"about_ca_system_score_gemma":0.0000075362987,"threshold_uncertainty_score":0.2942546},"labels":[],"label_agreement":null},{"id":"W2127007924","doi":"10.1111/j.1747-6593.2007.00096.x","title":"Household willingness‐to‐engage in water quality projects in western Newfoundland and Labrador: a demand‐side management approach","year":2008,"lang":"en","type":"article","venue":"Water and Environment Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Willingness to pay; Dimension (graph theory); Demand side; Quality (philosophy); Consumption (sociology); Household income; Logit; Water quality; Business; Agricultural economics; Mixed logit; Water consumption; Environmental economics; Logistic regression; Economics; Geography; Water resource management; Environmental science; Sociology; Ecology; Social science","score_opus":0.10852855291313734,"score_gpt":0.21228395151443763,"score_spread":0.10375539860130029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127007924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648726,0.00032756806,0.0012670391,0.00030873306,0.0000588531,0.00028166053,0.000006066418,0.000005974276,0.0012568722],"genre_scores_gemma":[0.99493,0.0030043426,0.0010192759,0.00024247413,0.00004096358,0.000032988308,0.00001530051,0.000021590024,0.00069305184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850327,0.000053072636,0.0006163075,0.00039741947,0.00005595333,0.0003739614],"domain_scores_gemma":[0.9996459,0.000008854476,0.00007528031,0.00014911006,7.076079e-7,0.000120156445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175465,0.00017932603,0.00032733232,0.00019352882,0.00015262961,0.00006480512,0.0000921277,0.00007153454,0.000053697928],"category_scores_gemma":[0.0000018050557,0.0001427873,0.000036566293,0.00002589291,0.00006731372,0.00031088895,0.00013813972,0.00022304483,0.000085243904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030505857,0.00012895865,0.99015826,0.000030162459,0.000020764997,0.000029245615,0.0057500233,0.003203363,0.00009141764,0.00009337581,0.0000090132435,0.00045491772],"study_design_scores_gemma":[0.0016488614,0.000056109016,0.99403614,0.0000140998445,0.0000049728,0.00009029872,0.00028128602,0.00033865884,0.00008671834,0.001314356,0.0018776392,0.00025084335],"about_ca_topic_score_codex":0.00024739644,"about_ca_topic_score_gemma":0.0000643833,"teacher_disagreement_score":0.0054687373,"about_ca_system_score_codex":0.00023388611,"about_ca_system_score_gemma":0.0000014906028,"threshold_uncertainty_score":0.5822698},"labels":[],"label_agreement":null},{"id":"W2127219144","doi":"10.5539/jsd.v5n5p2","title":"Application of a Choice Experiment to Estimate Farmers Preferences for Different Land Use Options in Northern Tajikistan","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutscher Akademischer Austauschdienst","keywords":"Logit; Preference; Human settlement; Agriculture; Order (exchange); Land use; Choice modelling; Logistic regression; Mixed logit; Survey data collection; Geography; Econometrics; Environmental resource management; Agricultural economics; Statistics; Business; Economics; Marketing; Mathematics; Ecology","score_opus":0.06315624865371451,"score_gpt":0.266341483631989,"score_spread":0.2031852349782745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127219144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97936237,0.00038094184,0.019566663,0.000091654736,0.00007427528,0.00041698845,0.0000055461533,0.0000021760945,0.00009938773],"genre_scores_gemma":[0.992832,0.000034170662,0.006700388,0.00002253141,0.000028737137,0.00011360506,0.000008850635,0.0000098843175,0.00024979992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988829,0.000008295275,0.0007211875,0.00010919014,0.00004196749,0.00023644073],"domain_scores_gemma":[0.99925554,0.00004384283,0.0004829944,0.000083267274,0.000043871773,0.00009051197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005521848,0.00009255429,0.00025280137,0.0002301883,0.000048791895,0.000022862805,0.000100403115,0.000036113277,0.000020244734],"category_scores_gemma":[0.00005703855,0.00009180565,0.00004549222,0.00008007151,0.000013381748,0.00033776858,0.000036325357,0.000048664646,0.000009033871],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030035226,0.00021735381,0.9897958,0.00004172696,0.000031325508,2.533182e-7,0.0022171484,0.0027554294,0.00006836406,0.0038905703,0.000021287087,0.00093072903],"study_design_scores_gemma":[0.00054460554,0.00007415211,0.9867507,0.000017910645,0.0000050167855,0.0000010439417,0.0021567843,0.00015589205,0.00052049535,0.00071621186,0.008944339,0.00011283878],"about_ca_topic_score_codex":0.00010411601,"about_ca_topic_score_gemma":0.000088686895,"teacher_disagreement_score":0.013469664,"about_ca_system_score_codex":0.00078373024,"about_ca_system_score_gemma":0.00003488042,"threshold_uncertainty_score":0.37437257},"labels":[],"label_agreement":null},{"id":"W2127527304","doi":"10.1177/0042098009349023","title":"An Application of a Stated Preference Method to Value Urban Amenities","year":2009,"lang":"en","type":"article","venue":"Urban Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Amenity; Recreation; Preference; Value (mathematics); Wage; Revealed preference; Geography; Population; Hedonic pricing; Economics; Business; Labour economics; Sociology; Microeconomics; Demography; Political science; Econometrics; Statistics","score_opus":0.17682955881260545,"score_gpt":0.2942838135123718,"score_spread":0.11745425469976636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127527304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8975962,0.0038967396,0.08840715,0.0004931565,0.000102611186,0.00052219635,0.00013324995,0.000060084792,0.008788611],"genre_scores_gemma":[0.9872499,0.0001349524,0.0116214,0.00038112758,0.00004736783,0.00004718391,0.000019177676,0.000008859382,0.0004900429],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990863,0.000021206124,0.0004251095,0.00029448452,0.00002723861,0.0001456448],"domain_scores_gemma":[0.9994406,0.000035039775,0.0002153217,0.00024397811,0.000018923109,0.000046113037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003722295,0.00011224916,0.0003211593,0.00011146691,0.00006616698,0.000013525658,0.00012678621,0.000035231387,0.000031436524],"category_scores_gemma":[0.000025639225,0.00012630748,0.000040069255,0.00010366099,0.000040289764,0.00017756155,0.00002640368,0.000043798496,0.00015045743],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068858964,0.00041850487,0.39893344,0.000057874524,0.00027565387,4.6719046e-7,0.023761818,0.0046161916,0.0019731957,0.52650553,0.0066998266,0.03668864],"study_design_scores_gemma":[0.00069467357,0.0009968523,0.8561872,0.00002599791,0.000035622164,9.593086e-7,0.0030810833,0.007189201,0.0032706307,0.10884461,0.019114722,0.0005584318],"about_ca_topic_score_codex":0.00008829909,"about_ca_topic_score_gemma":0.000007423536,"teacher_disagreement_score":0.45725378,"about_ca_system_score_codex":0.00012599793,"about_ca_system_score_gemma":0.0000045577012,"threshold_uncertainty_score":0.515067},"labels":[],"label_agreement":null},{"id":"W2127840248","doi":"10.1016/j.jval.2015.12.020","title":"An Empirical Comparison of Discrete Choice Experiment and Best-Worst Scaling to Estimate Stakeholders’ Risk Tolerance for Hip Replacement Surgery","year":2016,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Logit; Mixed logit; Hip replacement; Medicine; Preference; Population; Logistic regression; Physical therapy; Statistics; Arthroplasty; Surgery; Mathematics; Environmental health","score_opus":0.36313376151044174,"score_gpt":0.38080480377763987,"score_spread":0.017671042267198123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127840248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97909904,0.0012172135,0.017663376,0.001106887,0.00018863931,0.00054662785,0.00013360567,0.000009952002,0.000034652756],"genre_scores_gemma":[0.99398,0.00026277328,0.0054245824,0.00014049189,0.00004652545,0.00008704043,0.000010675096,0.000019167845,0.00002873368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818385,0.0000565752,0.0009912654,0.00043949275,0.00003795431,0.00029087727],"domain_scores_gemma":[0.99876237,0.00034197327,0.0004758436,0.00025927424,0.0000058765277,0.00015464317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001549649,0.00012187673,0.00048209025,0.00013393152,0.000086301494,0.000017271706,0.000078503865,0.00005014091,0.00003385819],"category_scores_gemma":[0.0001206064,0.00011909598,0.000048687492,0.0000655793,0.00003998566,0.00015919395,0.00002817188,0.000051409723,0.000018781202],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005644282,0.00014718248,0.9790605,0.000064382475,0.00000688485,5.5993233e-8,0.0013858164,0.014047553,0.000032390963,0.00074081577,0.0001526199,0.004305401],"study_design_scores_gemma":[0.0016672707,0.0010027587,0.8633912,0.00034004982,0.0000058484493,6.9791867e-7,0.0006751302,0.1253019,0.0010860065,0.0025723649,0.0035536936,0.00040303066],"about_ca_topic_score_codex":0.0020278736,"about_ca_topic_score_gemma":0.0000624599,"teacher_disagreement_score":0.115669206,"about_ca_system_score_codex":0.00035795485,"about_ca_system_score_gemma":0.000025137797,"threshold_uncertainty_score":0.48565933},"labels":[],"label_agreement":null},{"id":"W2128042106","doi":"10.1007/s13280-010-0078-4","title":"Charging for Nature: Marine Park Fees and Management from a User Perspective","year":2010,"lang":"en","type":"article","venue":"AMBIO","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Fundación Caja Madrid; Natural Environment Research Council; Sight Research UK","keywords":"User fee; Marine protected area; Willingness to pay; Revenue; Sustainability; Business; Perspective (graphical); Value (mathematics); Perception; Environmental resource management; Environmental economics; Marketing; Finance; Economics; Computer science; Ecology; Microeconomics","score_opus":0.02768586760496457,"score_gpt":0.20932583596536777,"score_spread":0.1816399683604032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128042106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97911066,0.00032832203,0.00046703115,0.0008686004,0.0003585568,0.00023878705,0.00008145569,0.00001392448,0.018532673],"genre_scores_gemma":[0.992921,0.00024480274,0.004266853,0.0003846873,0.00011097643,0.000048485417,0.0000409557,0.000012948887,0.001969288],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994706,0.0000018248999,0.00013940055,0.00026846657,0.00000991198,0.000109789136],"domain_scores_gemma":[0.9997344,0.000020603266,0.000076077966,0.00013490401,0.000003460195,0.000030526047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014052862,0.00007249995,0.00012297332,0.00004455996,0.00006325897,0.00003418394,0.00006359869,0.00007041582,0.00046771514],"category_scores_gemma":[0.000012091213,0.00008585042,0.000035941655,0.000021045116,0.000029730156,0.000113394,0.00006337513,0.00009768717,0.00015736026],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011733569,0.00003552782,0.3954774,0.000008239923,0.000073365336,5.1764664e-7,0.0002539097,0.0000024396786,0.00009204322,0.60140586,0.0007917746,0.0018472094],"study_design_scores_gemma":[0.00058958895,0.000018934534,0.8543306,0.0000025120619,0.000008988018,5.1733645e-7,0.00021063599,0.0005139376,0.00019462233,0.10978128,0.03420993,0.00013846013],"about_ca_topic_score_codex":0.00030555087,"about_ca_topic_score_gemma":0.000120018405,"teacher_disagreement_score":0.49162456,"about_ca_system_score_codex":0.000048681468,"about_ca_system_score_gemma":0.0000010719923,"threshold_uncertainty_score":0.51211524},"labels":[],"label_agreement":null},{"id":"W2128325556","doi":"10.1016/s0022-0531(03)00028-0","title":"Conditional preferences and updating","year":2003,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bayes' theorem; Bayes' rule; Conditional probability; Class (philosophy); Mathematical economics; Expected utility hypothesis; Subjective expected utility; Chain rule (probability); Mathematics; Scoring rule; Computer science; Bayesian probability; Law of total probability; Artificial intelligence; Bayes factor; Statistics; Posterior probability","score_opus":0.07087750109997067,"score_gpt":0.2179378258772703,"score_spread":0.14706032477729963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128325556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94880533,0.001384993,0.0016217912,0.000079733116,0.00034593252,0.000039719176,0.000023720686,0.0000028848547,0.047695898],"genre_scores_gemma":[0.99818605,0.00023098096,0.001027888,0.00012678943,0.00008922966,0.0000014843531,0.0000028038035,0.000008558663,0.00032623316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99914014,0.00003337677,0.00059472315,0.00012028244,0.000011016141,0.00010047726],"domain_scores_gemma":[0.9991059,0.00010778575,0.0006485811,0.00007376042,0.0000048799234,0.000059102058],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014728898,0.00007549647,0.00022856327,0.00009991714,0.00005410777,0.000033764205,0.00007912135,0.000043445194,0.00275466],"category_scores_gemma":[0.000075614604,0.0000818856,0.0000647303,0.00001176864,0.00007071397,0.00036346653,0.000013553978,0.000091826674,0.00027310298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058352125,0.000014280214,0.11918619,0.0000031880704,0.000043155625,5.2365306e-7,0.000112223766,0.00025277602,0.000012681047,0.87976193,0.00022471446,0.0003824697],"study_design_scores_gemma":[0.00054563564,0.000061092906,0.07528512,0.0000067915803,0.0000074452387,0.00006491673,0.00045855084,0.000088488785,0.00013189208,0.9169874,0.006247296,0.00011533063],"about_ca_topic_score_codex":0.000002639542,"about_ca_topic_score_gemma":0.0000012391528,"teacher_disagreement_score":0.049380705,"about_ca_system_score_codex":0.00010989117,"about_ca_system_score_gemma":0.000020220516,"threshold_uncertainty_score":0.99815696},"labels":[],"label_agreement":null},{"id":"W2128545718","doi":"10.1093/rheumatology/39.11.1242","title":"Determinants of willingness to pay for hip and knee joint replacement surgery for osteoarthritis","year":2000,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; WOMAC; Osteoarthritis; Willingness to pay; Physical therapy; Joint replacement; Quality of life (healthcare); Arthroplasty; Knee replacement; Hip replacement; Hip surgery; Total hip replacement; Orthopedic surgery; Total knee replacement; Surgery; Alternative medicine","score_opus":0.06875812475795519,"score_gpt":0.2280697774383761,"score_spread":0.1593116526804209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128545718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99694204,0.0004304356,0.0010021958,0.00018479183,0.0001683086,0.0006315327,0.00031740512,0.000008097722,0.00031517784],"genre_scores_gemma":[0.9964567,0.000139818,0.0015248976,0.00021324902,0.00006768107,0.00024170161,0.000030445433,0.00002007003,0.0013054508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989991,0.0000052131363,0.0005113886,0.0002833432,0.000016715825,0.00018424308],"domain_scores_gemma":[0.99952346,0.00008305399,0.00015570072,0.00017389232,0.0000070537694,0.000056850367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005230027,0.000093315604,0.00033905197,0.000055501292,0.00006493322,0.000018247763,0.00004576445,0.000055479642,0.0002537245],"category_scores_gemma":[0.00004301778,0.000102995,0.00008982668,0.0000322106,0.00002234061,0.00008130464,0.00001760532,0.000023070152,0.000055741708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019055096,0.00007389058,0.8674455,0.00013040115,0.000024720923,4.5168565e-7,0.00043960597,0.00018137648,0.00007050443,0.0010432294,0.0009800474,0.12941967],"study_design_scores_gemma":[0.0025727344,0.00088328513,0.899625,0.00009174023,0.000021313384,0.0000057965967,0.00010250433,0.003917143,0.0024630046,0.010490745,0.07931857,0.0005081792],"about_ca_topic_score_codex":0.00004627649,"about_ca_topic_score_gemma":0.000020971047,"teacher_disagreement_score":0.12891148,"about_ca_system_score_codex":0.000046700534,"about_ca_system_score_gemma":0.000006475866,"threshold_uncertainty_score":0.42000142},"labels":[],"label_agreement":null},{"id":"W2129486461","doi":"","title":"Comparing the economic value of fire conditions and the effects of wildfire on hiking in New-Mexico recreation sites using contingent the valuation method and travel cost method.","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Willingness to pay; Recreation; Valuation (finance); Actuarial science; Economics; Value (mathematics); Econometrics; Environmental economics; Microeconomics; Statistics; Mathematics; Finance","score_opus":0.13545823646243996,"score_gpt":0.300099936658833,"score_spread":0.16464170019639304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129486461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578473,0.0012491492,0.03841717,0.00041861343,0.00011825721,0.0007185999,0.000009203699,0.0000034869015,0.0012182158],"genre_scores_gemma":[0.9961194,0.0002913342,0.003292415,0.00014778669,0.000047759313,0.000026218107,0.000013150603,0.000011069319,0.000050907296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989079,0.00021725558,0.00052742765,0.00017726961,0.000029864805,0.00014023745],"domain_scores_gemma":[0.9977165,0.0015827699,0.0004853235,0.00018141013,0.000003741912,0.000030248972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030438292,0.000113518676,0.00033279235,0.00006893962,0.00015720077,0.000028977205,0.0000887232,0.00005455687,0.00002638367],"category_scores_gemma":[0.00015394186,0.000076728735,0.00005774879,0.000057780817,0.00013120552,0.0002181851,0.000047637346,0.00009946229,0.0000052222454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036940688,0.000035182227,0.7148908,0.000028681601,0.00007995872,2.1697662e-8,0.0042795497,0.014913172,0.00057412614,0.26054952,0.000033534114,0.0045785382],"study_design_scores_gemma":[0.0010955024,0.000024890878,0.6440173,0.000032288346,0.00003715088,0.000002147671,0.0005559178,0.34127057,0.001990702,0.010860996,0.000035695048,0.00007686225],"about_ca_topic_score_codex":0.0021170403,"about_ca_topic_score_gemma":0.00008674063,"teacher_disagreement_score":0.3263574,"about_ca_system_score_codex":0.0001694051,"about_ca_system_score_gemma":0.000014431777,"threshold_uncertainty_score":0.3200346},"labels":[],"label_agreement":null},{"id":"W2131178959","doi":"10.1002/mar.20569","title":"Eliciting Consumer Preferences for Certified Animal‐Friendly Foods: Can Elements of the Theory of Planned Behavior Improve Choice Experiment Analysis?","year":2012,"lang":"en","type":"article","venue":"Psychology and Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Theory of planned behavior; Certification; Salient; Consumer behaviour; Psychology; Product (mathematics); Marketing; Social psychology; Economics; Computer science; Business","score_opus":0.10579374122000654,"score_gpt":0.30060570924548435,"score_spread":0.19481196802547782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131178959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99498373,0.001289935,0.00023192355,0.000052225078,0.00018542135,0.00028019247,0.000109754015,0.0000036278395,0.002863176],"genre_scores_gemma":[0.999124,0.000072724535,0.00053193764,0.00007722078,0.000028358872,0.000094470124,0.00001261525,0.0000072302105,0.000051450817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901843,0.000068787056,0.0005067061,0.00020246017,0.000017643253,0.00018600069],"domain_scores_gemma":[0.9990056,0.00023192553,0.0005632372,0.00016065469,0.000007952028,0.000030616888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016064699,0.00008588825,0.00024663407,0.00007246473,0.00008012324,0.000005147114,0.000100217905,0.00006604734,0.00016640929],"category_scores_gemma":[0.00013196617,0.00007827,0.000085414365,0.00006360742,0.00009655351,0.00006762798,0.000044619333,0.00005222417,0.0000014770578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010464407,0.00008836685,0.9904171,0.000019883712,0.00018942724,9.499655e-9,0.00037813786,0.0000011121057,0.0025715798,0.0016333098,0.00002182824,0.0045745927],"study_design_scores_gemma":[0.00048134732,0.00008473506,0.9953968,0.0000072969983,0.00011335655,3.6353674e-7,0.0005573861,0.000064896085,0.0021553626,0.00079095154,0.00025913547,0.00008837593],"about_ca_topic_score_codex":0.000033439374,"about_ca_topic_score_gemma":0.000013873211,"teacher_disagreement_score":0.0049796845,"about_ca_system_score_codex":0.000016377204,"about_ca_system_score_gemma":0.0000029129535,"threshold_uncertainty_score":0.3191758},"labels":[],"label_agreement":null},{"id":"W2131498234","doi":"10.5539/jfr.v4n3p46","title":"Valuing Preferences for Environmental Sustainability in Fruit Production by United Kingdom and Japanese Consumers","year":2015,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Context (archaeology); Business; Production (economics); Supply chain; Marketing; Economics; Geography","score_opus":0.359273388138888,"score_gpt":0.33832351293959606,"score_spread":0.020949875199291923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131498234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971086,0.001250264,0.000049526974,0.0009058327,0.00011646845,0.00032271366,0.000026900745,0.0000016832286,0.00021804923],"genre_scores_gemma":[0.99940807,0.00016494983,0.00012252187,0.000010594502,0.00004749321,0.000015692382,0.000009253388,0.000008428119,0.00021301667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989543,0.00007952916,0.00047656294,0.00018996879,0.00008818875,0.00021144093],"domain_scores_gemma":[0.99942005,0.00011322803,0.00022539031,0.00009529641,0.000041430314,0.00010462749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044637932,0.00006762206,0.00019796113,0.0003720757,0.000065251734,0.000040792303,0.00010934933,0.00006314891,0.000025055204],"category_scores_gemma":[0.0006641355,0.000069469614,0.000035098536,0.00012182835,0.00015929052,0.0003246294,0.000045037494,0.00022932903,0.0000065472404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026708207,0.00033473936,0.9883665,0.00007254552,0.00006988598,0.0000013713772,0.0030660112,0.0005402831,0.00066622486,0.0011758106,0.0018522859,0.0035872462],"study_design_scores_gemma":[0.007776292,0.0053149727,0.79857725,0.00009148136,0.000024241828,0.00006467546,0.027209803,0.0034060902,0.004125928,0.121411525,0.03136537,0.00063236343],"about_ca_topic_score_codex":0.00012836981,"about_ca_topic_score_gemma":0.000016068278,"teacher_disagreement_score":0.18978925,"about_ca_system_score_codex":0.0006553218,"about_ca_system_score_gemma":0.00003869965,"threshold_uncertainty_score":0.28328887},"labels":[],"label_agreement":null},{"id":"W2132095645","doi":"10.1086/586913","title":"Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price?","year":2008,"lang":"en","type":"article","venue":"Journal of Consumer Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":248,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Discrete choice; Econometrics; Computer science; Microeconomics; Management science; Mathematical economics","score_opus":0.4150813394674372,"score_gpt":0.36438715237877267,"score_spread":0.05069418708866452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132095645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98119605,0.0077555883,0.004945349,0.00023669592,0.00016747866,0.00018994085,0.0000111160025,0.00000586179,0.005491932],"genre_scores_gemma":[0.99174124,0.0017015258,0.0045059556,0.00005090559,0.00012219684,0.000014216509,0.000002612784,0.000027030852,0.0018343125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981981,0.000113786446,0.0008414715,0.00024177576,0.0001817135,0.0004231773],"domain_scores_gemma":[0.9987061,0.00030910113,0.0004742742,0.0002343991,0.00006816257,0.000207954],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002467765,0.00012683579,0.00037708145,0.00041236292,0.0003653361,0.00006454087,0.00034297782,0.000085779815,0.0019046364],"category_scores_gemma":[0.00025086722,0.00013146317,0.0001428368,0.00017768923,0.00026424363,0.0005199081,0.00014703853,0.000410816,0.0011609917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014453815,0.00018109306,0.98512554,0.00001714773,0.00020501793,0.00006297657,0.0017435772,0.00059784885,0.0033660845,0.0014384611,0.0068073105,0.0003103812],"study_design_scores_gemma":[0.0071694083,0.0014103,0.81884307,0.00015904156,0.000029898922,0.00086874433,0.0013588453,0.0018957991,0.016106859,0.0032327727,0.1479361,0.0009891737],"about_ca_topic_score_codex":0.00004820725,"about_ca_topic_score_gemma":0.0000015079594,"teacher_disagreement_score":0.16628252,"about_ca_system_score_codex":0.00064235984,"about_ca_system_score_gemma":0.000060374685,"threshold_uncertainty_score":0.99961674},"labels":[],"label_agreement":null},{"id":"W2132157629","doi":"10.1016/j.jhealeco.2013.03.005","title":"Health-related externalities: Evidence from a choice experiment","year":2013,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Externality; Respondent; Context (archaeology); Preference; Public economics; Health care; Set (abstract data type); Health economics; Choice set; Willingness to pay; Value (mathematics); Actuarial science; Economics; Public health; Psychology; Microeconomics; Medicine; Econometrics; Computer science; Political science; Geography","score_opus":0.17687511098934422,"score_gpt":0.28411742248646527,"score_spread":0.10724231149712105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132157629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94740635,0.034703817,0.0011112636,0.014769944,0.0012171391,0.00031350245,0.000037609007,0.000010781814,0.0004295623],"genre_scores_gemma":[0.9846253,0.008897773,0.003021472,0.0027209644,0.00027597684,0.000020137262,0.000009153815,0.000033508546,0.00039575927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99612904,0.00007345924,0.0030743952,0.00030233673,0.000035635912,0.00038515797],"domain_scores_gemma":[0.99538076,0.00020481997,0.003798504,0.00030286197,0.00002145084,0.00029158435],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001731708,0.00018514563,0.0009006799,0.000183887,0.0001411416,0.000102493395,0.00032370217,0.000088309964,0.0027311186],"category_scores_gemma":[0.000088399844,0.00021265652,0.00019602335,0.000049141294,0.000053934335,0.0011548836,0.000056885707,0.0002482724,0.0013949375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057148,0.0005309824,0.8940607,0.00017837582,0.00052822864,0.00000296011,0.012859397,0.006354644,0.00004855563,0.015188909,0.026376437,0.0438137],"study_design_scores_gemma":[0.002140389,0.00085897313,0.905427,0.00036318798,0.00000762132,0.000049885737,0.001397952,0.0051150313,0.00008088945,0.053375103,0.030645292,0.00053869566],"about_ca_topic_score_codex":0.009345578,"about_ca_topic_score_gemma":0.000060565384,"teacher_disagreement_score":0.043275006,"about_ca_system_score_codex":0.0015431849,"about_ca_system_score_gemma":0.00017496561,"threshold_uncertainty_score":0.9993826},"labels":[],"label_agreement":null},{"id":"W2132354672","doi":"10.2193/2006-401","title":"Energetic Carrying Capacity of Actively and Passively Managed Wetlands for Migrating Ducks in Ohio","year":2007,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada","keywords":"Waterfowl; Wetland; Habitat; Foraging; Carrying capacity; Limiting; Spring (device); Fishery; Ecology; Environmental science; Geography; Biology","score_opus":0.06627781510614601,"score_gpt":0.22450545332587632,"score_spread":0.1582276382197303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132354672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965888,0.00014449764,0.029652124,0.00041760824,0.00016835854,0.00017861593,0.0000081194585,0.0000020166945,0.0035406442],"genre_scores_gemma":[0.9933935,0.0002517579,0.005949784,0.00018745582,0.000064714455,0.0000046859864,0.000001550861,0.000010648291,0.00013594479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880314,0.000010709588,0.0008303984,0.00014706947,0.000042770265,0.00016592315],"domain_scores_gemma":[0.9989603,0.0000638141,0.0008353496,0.00008095973,0.000010528898,0.000049005263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016101076,0.00009437372,0.00030972104,0.00033939249,0.00004404013,0.000017278851,0.00009699142,0.00004302166,0.000015843741],"category_scores_gemma":[0.00003675151,0.00010354709,0.000085454594,0.000077153614,0.000033902255,0.0001952838,0.000039934886,0.00009016473,0.0000020971793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088618,0.00012789531,0.96065706,0.00016833562,0.00018613263,0.000009333859,0.0010063424,0.0016408684,0.000117759795,0.03129504,0.0005228626,0.004179768],"study_design_scores_gemma":[0.0014972806,0.00013161298,0.98526,0.00006452827,0.000025149777,0.000004301751,0.0012015892,0.0007420649,0.00018838809,0.008023875,0.0027271868,0.00013403778],"about_ca_topic_score_codex":0.000033275137,"about_ca_topic_score_gemma":0.000055092954,"teacher_disagreement_score":0.027505443,"about_ca_system_score_codex":0.0002309581,"about_ca_system_score_gemma":0.000003553099,"threshold_uncertainty_score":0.4222528},"labels":[],"label_agreement":null},{"id":"W2132526093","doi":"10.1037/0033-295x.111.2.430","title":"Predicting Risk Sensitivity in Humans and Lower Animals: Risk as Variance or Coefficient of Variation.","year":2004,"lang":"en","type":"article","venue":"Psychological Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Variance (accounting); Variation (astronomy); Preference; Statistics; Foraging; Econometrics; Sensitivity (control systems); Psychology; Mathematics; Economics; Biology; Ecology; Engineering","score_opus":0.10719988431355124,"score_gpt":0.29951351468869186,"score_spread":0.19231363037514063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132526093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9666431,0.02298451,0.006392736,0.00024239135,0.00010459433,0.00037035465,0.00007049224,0.0000122536785,0.003179552],"genre_scores_gemma":[0.89514196,0.10332228,0.0011193205,0.00034505082,0.000020072655,0.000018269107,0.0000029656344,0.0000064752053,0.000023628652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998702,0.00006696809,0.000653327,0.00040256872,0.000029453651,0.00014569299],"domain_scores_gemma":[0.99910146,0.00010534593,0.0005354586,0.00020490994,0.000006770066,0.00004605588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020595947,0.00010723444,0.00040954023,0.000040175993,0.00005208388,0.000010817369,0.000064936154,0.000074257354,0.0005513844],"category_scores_gemma":[0.0007265304,0.0000945813,0.00006228028,0.00013724569,0.00006457455,0.00007978735,0.00003625072,0.00015700028,0.00023370673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047175232,0.00059210917,0.9594552,0.00021810178,0.000029470702,0.000009119049,0.00025630815,0.0015228258,0.000016329202,0.031259138,0.000034772896,0.006559482],"study_design_scores_gemma":[0.0005680396,0.00022303991,0.9825473,0.0002648974,0.00001518311,0.0000055872947,0.000008954331,0.00036952988,0.0000022037877,0.015036587,0.00083963224,0.00011903929],"about_ca_topic_score_codex":0.00024360584,"about_ca_topic_score_gemma":0.000034502937,"teacher_disagreement_score":0.08033777,"about_ca_system_score_codex":0.0000803883,"about_ca_system_score_gemma":0.0000043333453,"threshold_uncertainty_score":0.6037273},"labels":[],"label_agreement":null},{"id":"W2132754062","doi":"10.1007/s10802-009-9338-9","title":"Providing Information to Parents of Children with Mental Health Problems: A Discrete Choice Conjoint Analysis of Professional Preferences","year":2009,"lang":"en","type":"article","venue":"Journal of Abnormal Child Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"","keywords":"Coaching; Preference; Conjoint analysis; Psychology; Mental health; Latent class model; Class (philosophy); Process (computing); Medical education; Applied psychology; Psychiatry; Medicine; Computer science; Psychotherapist","score_opus":0.04323369293345648,"score_gpt":0.2802468982639233,"score_spread":0.23701320533046683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132754062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941396,0.0003020036,0.0014417061,0.0022145063,0.00014065596,0.00030559374,0.00013827538,0.0000027978288,0.0013148476],"genre_scores_gemma":[0.9979584,0.00016122258,0.0008612092,0.0008952518,0.000035354926,0.000003298369,0.00007100637,0.000004089259,0.000010120506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982839,0.00003145421,0.0013033747,0.00013253588,0.00007810387,0.00017060693],"domain_scores_gemma":[0.9975331,0.00001256237,0.0022028435,0.00013065695,0.000030279596,0.00009057576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067584007,0.0001103208,0.00054913235,0.0005672384,0.00005751413,0.00001102011,0.00018401477,0.000055366396,0.00010341341],"category_scores_gemma":[0.000018173307,0.000093699,0.0001226896,0.00028190165,0.00004192588,0.0005687804,0.000020820447,0.00014824314,0.000007875352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015323235,0.00023164036,0.9902336,0.000017870816,0.00053267897,6.7619226e-8,0.0020769758,0.0029423295,0.000010011336,0.0010308205,0.00025296648,0.0025177894],"study_design_scores_gemma":[0.0010210426,0.0014326273,0.99646056,0.00007926582,0.00004343641,0.000016411295,0.00013365643,0.00015013343,0.000038468086,0.00024090655,0.00029102335,0.000092478105],"about_ca_topic_score_codex":0.00006084035,"about_ca_topic_score_gemma":0.000023378756,"teacher_disagreement_score":0.0062269336,"about_ca_system_score_codex":0.00007300952,"about_ca_system_score_gemma":0.000025545156,"threshold_uncertainty_score":0.38209343},"labels":[],"label_agreement":null},{"id":"W2133161457","doi":"10.1079/pavsnnr20105057","title":"Clean Development Mechanism Afforestation and Reforestation projects: implications for local agriculture.","year":2010,"lang":"en","type":"article","venue":"CABI Reviews","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Clean Development Mechanism; Afforestation; Reforestation; Sustainable development; Scrutiny; Environmental planning; Environmental resource management; Agriculture; Business; Documentation; Climate change; Natural resource economics; Forestry; Political science; Environmental science; Geography; Economics; Computer science; Ecology","score_opus":0.11843208003954138,"score_gpt":0.2532425119424626,"score_spread":0.13481043190292125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133161457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55270994,0.002437836,0.43694103,0.001423523,0.0004343141,0.0029726774,0.000095886135,0.000047786423,0.0029369905],"genre_scores_gemma":[0.9627252,0.0015663228,0.033190146,0.00032477328,0.00009758916,0.0009458825,0.00035280746,0.000020640766,0.000776592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991133,0.0000073345304,0.000476191,0.00026814625,0.00001080806,0.00012418332],"domain_scores_gemma":[0.99948645,0.000019553616,0.0002783717,0.00015215382,0.000011600671,0.000051866027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055311347,0.000099937686,0.00019533628,0.000049309125,0.00012688275,0.000031054944,0.00006840811,0.00006945386,0.000050111026],"category_scores_gemma":[0.00006608337,0.00009300744,0.000045241544,0.000050760813,0.000035777874,0.00018279435,0.00001447801,0.00006840599,0.00020975452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043383548,0.00005367802,0.026857173,0.0001278409,0.000014501809,5.089896e-8,0.0007255632,0.00001653152,0.0011140177,0.7578863,0.0017860198,0.211414],"study_design_scores_gemma":[0.0005143205,0.000060621893,0.49995124,0.000023200972,0.000013366913,0.0000066988005,0.00014569116,0.00091019017,0.0007378292,0.07425883,0.42305207,0.0003259463],"about_ca_topic_score_codex":0.000016982995,"about_ca_topic_score_gemma":0.00022517126,"teacher_disagreement_score":0.6836275,"about_ca_system_score_codex":0.00009866989,"about_ca_system_score_gemma":0.000013784387,"threshold_uncertainty_score":0.37927333},"labels":[],"label_agreement":null},{"id":"W2133208151","doi":"10.2166/wh.2011.097","title":"Defensive spending on tap water substitutes: the value of reducing perceived health risks","year":2011,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Ontario; Brock University","funders":"Brock University; University of Alberta; Canadian Water Network; Government of Ontario","keywords":"Tap water; Willingness to pay; Consumption (sociology); Health spending; Value (mathematics); Environmental health; Agricultural economics; Business; Socioeconomics; Demographic economics; Economics; Health services; Medicine; Statistics; Environmental engineering; Population; Environmental science","score_opus":0.3087384389315391,"score_gpt":0.2960836899246891,"score_spread":0.012654749006850041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133208151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956268,0.0006949739,0.00019775501,0.0019967854,0.0002825387,0.0001390802,0.000008688006,0.0000020941918,0.0010513033],"genre_scores_gemma":[0.9968824,0.0017070072,0.0004716718,0.00075888325,0.00010763478,0.0000014874092,0.0000039374413,0.000010561993,0.00005644983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987347,0.000038339236,0.000820516,0.0001330564,0.00003578863,0.00023756624],"domain_scores_gemma":[0.99926823,0.000014380011,0.00050338515,0.00010359112,0.000009831673,0.00010058828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017707049,0.000091354224,0.00037056854,0.00012169068,0.00016705961,0.000015121629,0.00009788596,0.00003459856,0.00020862029],"category_scores_gemma":[0.000006224263,0.000053612865,0.000082541555,0.000017098086,0.000054995955,0.00015638507,0.000026922811,0.00017047308,0.000053663975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020667187,0.00043352458,0.82045585,0.00030026777,0.00026951946,0.000009507582,0.13748088,0.0020330139,0.0006416616,0.032404203,0.0010416168,0.00472327],"study_design_scores_gemma":[0.0006412349,0.00071642053,0.9882758,0.00007838809,0.000008386076,0.000047230926,0.0011899923,0.00021584958,0.001608372,0.0064645344,0.0006496885,0.000104086845],"about_ca_topic_score_codex":0.0014643364,"about_ca_topic_score_gemma":0.000012249476,"teacher_disagreement_score":0.16781996,"about_ca_system_score_codex":0.00017753063,"about_ca_system_score_gemma":0.000017220287,"threshold_uncertainty_score":0.22842458},"labels":[],"label_agreement":null},{"id":"W2133406453","doi":"10.1089/fpd.2014.1844","title":"Systematic Review of Expert Elicitation Methods as a Tool for Source Attribution of Enteric Illness","year":2015,"lang":"en","type":"review","venue":"Foodborne Pathogens and Disease","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Expert elicitation; Attribution; Context (archaeology); Computer science; Data science; Variety (cybernetics); Management science; Knowledge management; Psychology; Artificial intelligence; Social psychology; Engineering; Statistics; Mathematics","score_opus":0.14403687412020735,"score_gpt":0.3428137724320626,"score_spread":0.19877689831185527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133406453","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008861636,0.965423,0.029860144,0.000018907609,0.00012372505,0.002381641,0.0020485837,0.000008511066,0.00004690501],"genre_scores_gemma":[0.00014466648,0.99601865,0.0017681359,0.00009148588,0.000040911742,0.0009389079,0.0008353424,0.000037807204,0.00012412017],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99750745,0.00016950637,0.00171549,0.00040290528,0.000049290153,0.00015533951],"domain_scores_gemma":[0.99737895,0.00015356556,0.0018526537,0.00039782698,0.000054726726,0.00016227976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019560943,0.00026880036,0.0023438872,0.0001477531,0.000043739507,0.0000139760305,0.00013677208,0.00011683938,0.00006050447],"category_scores_gemma":[0.0009000878,0.00023341663,0.0005664633,0.00013482258,0.000050368424,0.000100006575,0.00006046566,0.000048468668,0.000034162516],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011800563,0.00009961591,0.000036028792,0.9012439,0.00017304943,3.2672028e-7,0.000093144765,0.0000018142601,6.703864e-7,0.0042940853,0.000117752636,0.09392779],"study_design_scores_gemma":[0.0010303607,0.00042089005,0.00017804297,0.4671841,0.004037545,0.000012552904,0.00015501952,0.00056613615,0.0000040538102,0.0065403995,0.51866287,0.0012080111],"about_ca_topic_score_codex":0.000009788128,"about_ca_topic_score_gemma":1.2600539e-7,"teacher_disagreement_score":0.51854515,"about_ca_system_score_codex":0.00013654797,"about_ca_system_score_gemma":0.00007833004,"threshold_uncertainty_score":0.9518454},"labels":[],"label_agreement":null},{"id":"W2133566518","doi":"10.1139/f05-010","title":"Intergenerational valuation of fisheries resources can justify long-term conservation: a case study in Atlantic cod (<i>Gadus morhua</i>)","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Gadus; Overfishing; Discounting; Economics; Fishing; Valuation (finance); Fishery; Bioeconomics; Natural resource economics; Stock (firearms); Atlantic cod; Population; Geography; Biology","score_opus":0.11668384649515481,"score_gpt":0.23728929880449773,"score_spread":0.12060545230934291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133566518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99489206,0.0006866388,0.00013830308,0.0037256258,0.00018721072,0.00013565303,0.000012472714,0.0000013304577,0.00022069653],"genre_scores_gemma":[0.99899566,0.000058197522,0.0005855364,0.00018013582,0.000080231956,0.0000047870935,0.0000038559288,0.00000505727,0.00008655758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987892,0.000038544975,0.000776632,0.00016906763,0.00006680391,0.00015973611],"domain_scores_gemma":[0.999219,0.00007273719,0.0004807558,0.00007897549,0.000019956633,0.00012858002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010761777,0.00009653437,0.00026659394,0.00028229933,0.0001929461,0.00013301334,0.00013708942,0.0000389726,0.00027543964],"category_scores_gemma":[0.00013503569,0.00009846365,0.000038019833,0.00018462354,0.000357973,0.0004926277,0.00001263636,0.00007819402,0.0000039031156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005267467,0.000027671338,0.9923361,0.00000818999,0.000016102002,0.000038800987,0.005654755,0.00024507483,0.0000038800686,0.00043181932,0.00016086493,0.0010714694],"study_design_scores_gemma":[0.00057537394,0.00035164756,0.9848418,0.000037220656,0.000015725038,0.00029106942,0.0068307403,0.0055558565,0.000013545416,0.00096794503,0.00038331104,0.00013572839],"about_ca_topic_score_codex":0.019754065,"about_ca_topic_score_gemma":0.26884294,"teacher_disagreement_score":0.24908888,"about_ca_system_score_codex":0.00012895161,"about_ca_system_score_gemma":0.00019604649,"threshold_uncertainty_score":0.9867735},"labels":[],"label_agreement":null},{"id":"W2134041847","doi":"10.1177/0047287506292700","title":"A Behavioral Assessment of Tourism Transportation Options for Reducing Energy Consumption and Greenhouse Gases","year":2007,"lang":"en","type":"article","venue":"Journal of Travel Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Tourism; Greenhouse gas; Energy consumption; Environmental economics; Business; Consumption (sociology); Visitor pattern; Renting; Destinations; Mode choice; Sustainable tourism; Modal shift; Sustainable transport; Transport engineering; Modal; Public transport; Marketing; Sustainability; Economics; Computer science; Engineering; Civil engineering; Geography","score_opus":0.32075540664959334,"score_gpt":0.3960267391056483,"score_spread":0.07527133245605494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134041847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94163805,0.00063373055,0.05719023,0.0001161725,0.00007940846,0.000105642175,0.00005760887,0.0000013033675,0.00017783957],"genre_scores_gemma":[0.991174,0.001066104,0.007519791,0.000007126869,0.00007418543,0.0000057534644,0.000011661586,0.000010040078,0.00013136136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895364,0.000018030209,0.00067609583,0.000114492614,0.00007789892,0.0001598238],"domain_scores_gemma":[0.9992883,0.00013606089,0.0003644042,0.00007276785,0.00006441406,0.00007405708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002848757,0.00005360599,0.00019790746,0.0003706503,0.000078402096,0.000018138773,0.00007016474,0.000058734364,0.00008443372],"category_scores_gemma":[0.000026517462,0.0000598412,0.000077207435,0.00006049498,0.00008183178,0.00020898735,0.0000057899347,0.00012861242,0.0000013871381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000325138,0.0011636475,0.81286794,0.00020076819,0.00017158348,0.000018419969,0.0017801861,0.0019216746,0.016650695,0.12879194,0.00078094914,0.035327032],"study_design_scores_gemma":[0.000859801,0.00050154596,0.99059725,0.000032476746,0.000013103709,0.000009062789,0.00039294834,0.0012789398,0.0018455498,0.004143834,0.0002596766,0.00006583835],"about_ca_topic_score_codex":0.00025006023,"about_ca_topic_score_gemma":0.000069234586,"teacher_disagreement_score":0.17772926,"about_ca_system_score_codex":0.00014976053,"about_ca_system_score_gemma":0.000028685943,"threshold_uncertainty_score":0.24402533},"labels":[],"label_agreement":null},{"id":"W2134294358","doi":"10.1017/s0008423907070175","title":"Protecting Endangered Species in the US and Canada: The Role of Negative Lesson Drawing","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"","keywords":"Endangered species; Stewardship (theology); Political science; Opposition (politics); Geography; Sociology; Law; Demography","score_opus":0.05055267474366137,"score_gpt":0.2103764353170229,"score_spread":0.15982376057336153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134294358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920123,0.00019315878,0.00006527262,0.0013839182,0.00007267694,0.00005913979,0.000010065348,2.046471e-7,0.006203231],"genre_scores_gemma":[0.9996254,0.0000023741898,0.00006772077,0.00024284363,0.000046865134,4.7733863e-7,6.39363e-8,0.0000017795834,0.000012479194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992456,0.000014235379,0.00029798277,0.00007398799,0.000046596302,0.0003216177],"domain_scores_gemma":[0.9994447,0.00014189778,0.0001514358,0.000062186744,0.000013834371,0.00018593189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026090695,0.00003866244,0.00009719979,0.000100834244,0.00017661203,0.000037593778,0.00021543737,0.000015575919,0.000031159685],"category_scores_gemma":[0.00054850493,0.000027854756,0.000016990345,0.00012211017,0.00042552923,0.00013983573,0.000010393932,0.00014204609,0.0000010119544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011119157,0.0000025387549,0.5487748,0.0000015152436,0.0000020369982,0.0000039333418,0.0017832881,0.000028856388,0.00008814862,0.4487528,0.0000056406275,0.00055536965],"study_design_scores_gemma":[0.000065200475,0.000018744526,0.979734,0.000007882962,0.0000011055331,0.000017482273,0.0051492336,0.00012555365,0.0008747333,0.013481478,0.0004906498,0.000033929467],"about_ca_topic_score_codex":0.8683782,"about_ca_topic_score_gemma":0.926108,"teacher_disagreement_score":0.43527132,"about_ca_system_score_codex":0.0006347594,"about_ca_system_score_gemma":0.00041905613,"threshold_uncertainty_score":0.16598737},"labels":[],"label_agreement":null},{"id":"W2135085926","doi":"10.1007/s10530-005-0236-y","title":"Characterised and Projected Costs of Nonindigenous Species in Canada","year":2005,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":305,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nuisance; Ecosystem services; Economic impact analysis; Goods and services; Economic cost; Yield (engineering); Natural resource economics; Resource (disambiguation); Agriculture; Agricultural economics; Biology; Ecosystem; Economics; Ecology; Economy","score_opus":0.31455810781642224,"score_gpt":0.20662942210728982,"score_spread":0.10792868570913242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135085926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99615073,0.00028008287,0.000013980721,0.00027225266,0.000038027192,0.0001332816,0.000104649844,0.0000039810016,0.0030030252],"genre_scores_gemma":[0.9989509,0.00052756467,0.00020496907,0.0001566941,0.000020291538,0.000011220208,0.000028029259,0.000002931876,0.00009742809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994103,0.000009947437,0.00030022784,0.0001519829,0.000009770519,0.00011781223],"domain_scores_gemma":[0.99974066,0.0000399197,0.00010863271,0.00007404453,0.0000025466359,0.000034208977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011039512,0.00005739353,0.00017653879,0.00004157219,0.000029840368,0.000004437439,0.000057882895,0.000045222772,0.00046957997],"category_scores_gemma":[0.000039810915,0.000053088337,0.000016752354,0.000048896716,0.000042149746,0.000046455967,0.000034497454,0.00005130558,0.00003782278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004495767,0.000041197673,0.9921326,0.0000016042362,0.0000043593736,6.8211955e-7,0.00009559391,0.00001574034,0.0008596764,0.0057816515,0.000046413694,0.0010159754],"study_design_scores_gemma":[0.00019078623,0.00003253534,0.9966739,0.0000044854855,5.2501997e-7,0.0000010832385,0.0001258577,0.00015779136,0.00030872063,0.00018214388,0.0022517617,0.000070423404],"about_ca_topic_score_codex":0.17556272,"about_ca_topic_score_gemma":0.34374043,"teacher_disagreement_score":0.16817771,"about_ca_system_score_codex":0.0003224585,"about_ca_system_score_gemma":0.000038942686,"threshold_uncertainty_score":0.82992727},"labels":[],"label_agreement":null},{"id":"W2136069275","doi":"10.1111/j.1744-7976.2007.00082.x","title":"Are Agricultural Values a Reliable Guide in Determining Landowners' Decisions to Create Forest Carbon Sinks?","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Victoria; Canadian Sport Centre Pacific","funders":"BIOCAP Canada","keywords":"Forestry; Carbon stock; Afforestation; Tree planting; Willingness to accept; Carbon sequestration; Welfare economics; Economics; Agricultural science; Geography; Environmental science; Willingness to pay; Microeconomics; Chemistry; Climate change; Ecology; Nitrogen","score_opus":0.06439765839222296,"score_gpt":0.18846045908647713,"score_spread":0.12406280069425417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136069275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98613954,0.00046950165,0.000027091834,0.0016949087,0.001544924,0.0003976518,0.00016269264,0.000011243567,0.009552429],"genre_scores_gemma":[0.99580353,0.000099885336,0.00073821784,0.00061662367,0.00064144,0.000016795993,0.00004328677,0.00004231659,0.0019978853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995666,0.00002182764,0.0023756498,0.00065364555,0.000015247244,0.0012675889],"domain_scores_gemma":[0.9957922,0.0001961978,0.0017259875,0.00035054184,0.000085806045,0.0018492474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015439381,0.00044967624,0.0010972919,0.0009752679,0.00022861239,0.00021591205,0.00068418076,0.0002657063,0.00021186355],"category_scores_gemma":[0.00042929008,0.00043464592,0.00033741666,0.0002837387,0.00009345052,0.0007826314,0.000056547415,0.00040950192,0.0002307898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004942074,0.000035555808,0.9440778,0.000016694923,0.00013981412,0.00014292315,0.002030416,0.04271736,0.00004190339,0.00740904,0.002544312,0.0007947774],"study_design_scores_gemma":[0.0010931037,0.00022383373,0.9802314,0.00014865676,0.000024312896,0.00029038222,0.0038714742,0.00022329802,0.000058555786,0.0030959595,0.010071034,0.0006679761],"about_ca_topic_score_codex":0.05356714,"about_ca_topic_score_gemma":0.852179,"teacher_disagreement_score":0.7986118,"about_ca_system_score_codex":0.0052088033,"about_ca_system_score_gemma":0.00018755307,"threshold_uncertainty_score":0.9998105},"labels":[],"label_agreement":null},{"id":"W2136192055","doi":"10.1139/l09-046","title":"Evaluating road pricing with an engineering perspective: aggregate and disaggregate analysis","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Aggregate (composite); Perspective (graphical); Simple (philosophy); Computer science; Economic analysis; Aggregate behavior; Operations research; Econometrics; Management science; Industrial engineering; Economics; Engineering; Aggregate demand; Macroeconomics","score_opus":0.03226529197450724,"score_gpt":0.21392236089553215,"score_spread":0.1816570689210249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136192055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97442734,0.0030775531,0.021431183,0.00018791106,0.00009297355,0.00006451746,0.000009102078,0.000010393196,0.00069904537],"genre_scores_gemma":[0.99731433,0.000053447184,0.0024503097,0.000038760732,0.000092044116,0.00000116205,0.0000025360312,0.000018658453,0.000028768616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999085,0.0000063861016,0.00040892625,0.00019466494,0.000039362956,0.00026564728],"domain_scores_gemma":[0.99918413,0.000016425585,0.0002677362,0.00013705746,0.000027490647,0.0003671378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056421635,0.00014527874,0.00034784043,0.00068484526,0.0000693122,0.00009568292,0.00011410667,0.000047339905,0.00011402328],"category_scores_gemma":[0.00008912916,0.00016156839,0.00007842757,0.0002914703,0.000017434315,0.0005164076,0.0000049527785,0.00017110596,0.000004313406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069306366,0.000009738967,0.06329241,0.000010692011,0.00031340244,0.000026511087,0.0013585038,0.92614424,0.00013485979,0.0069878437,0.0000044177837,0.0017104248],"study_design_scores_gemma":[0.0005033916,0.00033506367,0.60698265,0.00007008878,0.0001184774,0.00006677792,0.00021020595,0.39057556,0.000040023715,0.0006565522,0.00013774297,0.00030344195],"about_ca_topic_score_codex":0.001115908,"about_ca_topic_score_gemma":0.006698569,"teacher_disagreement_score":0.54369026,"about_ca_system_score_codex":0.00041030374,"about_ca_system_score_gemma":0.000048218066,"threshold_uncertainty_score":0.6588568},"labels":[],"label_agreement":null},{"id":"W2136739838","doi":"10.3141/2168-05","title":"Shipper Willingness to Pay to Increase Environmental Performance in Freight Transportation","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Willingness to pay; Business; Environmental impact assessment; Transport engineering; Environmental economics; Quality (philosophy); Economics; Engineering; Microeconomics","score_opus":0.10973538280275248,"score_gpt":0.3028407947982598,"score_spread":0.19310541199550735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136739838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936272,0.000060857186,0.0007774753,0.0031192128,0.0007020882,0.0011536279,0.00025722408,0.000012939538,0.0002894107],"genre_scores_gemma":[0.99634326,0.000353674,0.0019735496,0.00016516112,0.00018418622,0.00015029572,0.000054988304,0.00006214839,0.00071275124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955886,0.00021625317,0.0019206231,0.0006019303,0.00084197405,0.00083061476],"domain_scores_gemma":[0.99804807,0.00028092167,0.00041422987,0.000504751,0.00019938883,0.0005526374],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0050439746,0.00026571398,0.00051756785,0.0011919502,0.00037695814,0.000100297,0.0009439233,0.00022098387,0.0014460796],"category_scores_gemma":[0.00010420165,0.00022884819,0.00025653085,0.0012554034,0.000270013,0.0008864261,0.0000076245005,0.0020480026,0.00046121175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004955399,0.00026387846,0.9828796,0.00005695639,0.00003423556,0.000018963841,0.0035865842,0.0031543155,0.003423582,0.0031174943,0.00051925407,0.002449614],"study_design_scores_gemma":[0.0011768808,0.00040598883,0.974923,0.00009735156,0.0000102802605,3.4109672e-7,0.00074096274,0.00016869527,0.0012099707,0.0023517606,0.01864757,0.0002672007],"about_ca_topic_score_codex":0.00647544,"about_ca_topic_score_gemma":0.044816192,"teacher_disagreement_score":0.03834075,"about_ca_system_score_codex":0.0004070146,"about_ca_system_score_gemma":0.00013582245,"threshold_uncertainty_score":0.9994667},"labels":[],"label_agreement":null},{"id":"W2136753269","doi":"10.1111/j.1539-6924.2012.01826.x","title":"Expert Elicitation of the Value per Statistical Life in an Air Pollution Context","year":2012,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Electronic Arts (Canada); Health Canada","funders":"Health Canada; Government of Canada; U.S. Environmental Protection Agency","keywords":"Expert elicitation; Context (archaeology); Probabilistic logic; Air quality index; Air pollution; Environmental science; Operations research; Risk analysis (engineering); Statistics; Engineering; Business; Mathematics; Geography; Meteorology","score_opus":0.05727347765791609,"score_gpt":0.2465015243083402,"score_spread":0.1892280466504241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136753269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98143494,0.0007886946,0.01689363,0.00019855809,0.00007549462,0.000072254945,0.00010963145,0.0000039504976,0.0004228512],"genre_scores_gemma":[0.998878,0.00014140151,0.00059052755,0.0002552526,0.000043350883,0.000010294679,0.000036889767,0.0000065484364,0.000037731774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991913,0.00006618723,0.00042894972,0.00014987544,0.00003127652,0.00013242928],"domain_scores_gemma":[0.99942535,0.000038193095,0.00027075666,0.00020468912,0.000005510623,0.000055504446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005842049,0.000066982895,0.00023792089,0.00016804937,0.00005347418,0.0000073679403,0.00008240551,0.000051795294,0.00062308833],"category_scores_gemma":[0.000091596245,0.00006233874,0.00011355684,0.00022406748,0.00004762143,0.00025293586,0.000019284258,0.000061141036,0.0001650701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046752707,0.000085606785,0.9566072,0.0000013339953,0.000089676796,1.469192e-8,0.0012753536,0.010134964,0.000020009085,0.030931626,0.000052094445,0.0007974128],"study_design_scores_gemma":[0.00017957987,0.000011728704,0.969174,0.0000011003377,0.00006551952,6.783409e-8,0.0006139213,0.027840836,0.000040940075,0.0017304586,0.00026814218,0.000073661264],"about_ca_topic_score_codex":0.0030414918,"about_ca_topic_score_gemma":0.00033392417,"teacher_disagreement_score":0.029201167,"about_ca_system_score_codex":0.0001301095,"about_ca_system_score_gemma":0.0000055082014,"threshold_uncertainty_score":0.682238},"labels":[],"label_agreement":null},{"id":"W2137048146","doi":"10.1016/s1755-5345(13)70052-6","title":"Conceptual Relations Between Expanded Rank Data and Models of the Unexpanded Rank Data","year":2012,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Victoria","funders":"University of Victoria","keywords":"Rank (graph theory); Ranking (information retrieval); Econometrics; Respondent; Logit; Computer science; Statistics; Mathematics; Information retrieval; Combinatorics","score_opus":0.3950151912127773,"score_gpt":0.2862860371419336,"score_spread":0.10872915407084366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137048146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75348586,0.0044175126,0.24045752,0.0002825611,0.0002165041,0.000095806034,0.0002700683,0.0000027379149,0.0007714364],"genre_scores_gemma":[0.9944101,0.00056058815,0.0045289756,0.000042261465,0.00028174045,7.304634e-7,0.00005123369,0.000015079947,0.000109294786],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986081,0.000035164787,0.00092891476,0.00018879633,0.000070287846,0.0001687024],"domain_scores_gemma":[0.99799216,0.00020251113,0.0010066342,0.00069725205,0.000017941386,0.000083511564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001719716,0.000103347535,0.0003589191,0.00008041058,0.000103506914,0.0000252837,0.0006839232,0.000081793296,0.00006192421],"category_scores_gemma":[0.00008229524,0.00009094371,0.000058977057,0.00006958081,0.0001051224,0.0019667668,0.00030435028,0.00021877035,0.000011039398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021011052,0.00008645265,0.7555451,0.000015043068,0.00020553534,1.2612003e-7,0.002184168,0.22872126,0.000037330345,0.0119984625,0.00059571804,0.0005897927],"study_design_scores_gemma":[0.0019548154,0.000033848948,0.05397243,0.00006270265,0.00014186914,0.0000087648605,0.0005050784,0.91971385,0.00006774148,0.018693661,0.0046162615,0.00022899434],"about_ca_topic_score_codex":0.000063667765,"about_ca_topic_score_gemma":0.0000038127077,"teacher_disagreement_score":0.70157266,"about_ca_system_score_codex":0.000055427245,"about_ca_system_score_gemma":0.000022827771,"threshold_uncertainty_score":0.37085766},"labels":[],"label_agreement":null},{"id":"W2137604301","doi":"10.1111/j.1442-9993.2012.02408.x","title":"Spatially explicit benefit–cost analysis of fire management for greenhouse gas abatement","year":2012,"lang":"en","type":"article","venue":"Austral Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Innovates","funders":"","keywords":"Greenhouse gas; Natural resource economics; Tonne; Environmental science; Livelihood; Environmental resource management; Carbon sequestration; Business; Geography; Ecology; Economics; Agriculture; Carbon dioxide","score_opus":0.10513787893401261,"score_gpt":0.25609626983622963,"score_spread":0.15095839090221702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137604301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943661,0.00010024041,0.0020057263,0.0002238778,0.00028676487,0.0004650053,0.00018050552,0.00001128262,0.0023604722],"genre_scores_gemma":[0.9964995,0.00018817719,0.0014449104,0.00014385635,0.00006046927,0.00018774833,0.00015242094,0.000014504917,0.0013084398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988177,0.0000064595088,0.00057671696,0.00024195675,0.000019261026,0.00033792492],"domain_scores_gemma":[0.99932534,0.000038825223,0.0003366519,0.00022207668,0.0000067133496,0.00007042559],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037370587,0.000114980554,0.00039044535,0.0002047645,0.000052585867,0.000007494262,0.00013032585,0.00009075483,0.0019497178],"category_scores_gemma":[0.0000078870935,0.00014076369,0.0001834662,0.00013095682,0.00003013194,0.00015975613,0.00005491598,0.000039718547,0.00026819957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016825401,0.00025336345,0.8934349,0.000024062974,0.00097555155,3.13798e-7,0.00017911656,0.005109935,0.000011051473,0.0957996,0.00039349037,0.003801835],"study_design_scores_gemma":[0.0005728302,0.00013802804,0.987991,0.0000016320674,0.00025025615,3.6231094e-7,0.00007955359,0.003795082,0.00008656096,0.0020663247,0.004862509,0.00015585845],"about_ca_topic_score_codex":0.00018323162,"about_ca_topic_score_gemma":0.00025305283,"teacher_disagreement_score":0.094556145,"about_ca_system_score_codex":0.0001792511,"about_ca_system_score_gemma":0.0000024173714,"threshold_uncertainty_score":0.99896264},"labels":[],"label_agreement":null},{"id":"W2137737248","doi":"10.4031/002533205787443944","title":"Understanding the Potential Economic Impacts of Sinking Ships for SCUBA Recreation","year":2005,"lang":"en","type":"article","venue":"Marine Technology Society Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Reef; Artificial reef; Recreation; Scuba diving; Fishery; Geography; Destinations; Tourism; Great barrier reef; Oceanography; Profit (economics); Ecology; Archaeology; Geology; Economics","score_opus":0.1194054611577316,"score_gpt":0.23501733848283424,"score_spread":0.11561187732510264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137737248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8640629,0.0004626626,0.122521155,0.010766741,0.0002905906,0.00022899939,0.000020384363,0.000032429238,0.0016141516],"genre_scores_gemma":[0.98993623,0.000715623,0.008808475,0.0001375871,0.00022012748,0.000009438963,0.000009678763,0.000016509277,0.00014635712],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990665,0.000007333658,0.00052824226,0.00016217954,0.000020426907,0.00021537516],"domain_scores_gemma":[0.99919903,0.00003689209,0.00056954083,0.00015643974,0.000008535423,0.000029579356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010040811,0.000098458615,0.00021378121,0.00010725358,0.0003121416,0.000041337527,0.00020772839,0.00016244814,0.0003414742],"category_scores_gemma":[0.00003179045,0.00009509759,0.00021725347,0.00006645978,0.00015149028,0.00022862409,0.00008485041,0.0002357898,0.000040810577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045708224,0.00010528573,0.6216106,0.000028502109,0.0004871105,4.917686e-7,0.00090498076,0.011189705,0.0006463485,0.34408438,0.0061229984,0.014773907],"study_design_scores_gemma":[0.002947701,0.00027681506,0.0876688,0.000027632215,0.000070075985,0.0001672853,0.0037623881,0.079657,0.001084668,0.8157314,0.008187494,0.00041875738],"about_ca_topic_score_codex":0.000014012831,"about_ca_topic_score_gemma":0.000020804307,"teacher_disagreement_score":0.5339418,"about_ca_system_score_codex":0.00089091726,"about_ca_system_score_gemma":0.000022263064,"threshold_uncertainty_score":0.3877967},"labels":[],"label_agreement":null},{"id":"W2138622613","doi":"10.1016/j.ijmedinf.2014.04.007","title":"Physician and patient willingness to pay for electronic cardiovascular disease management","year":2014,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Willingness to pay; Respondent; Conjoint analysis; Sustainability; Payment; Incentive; Medicine; Incentive program; Family medicine; Business; Preference; Actuarial science; Finance; Economics","score_opus":0.0232059527151551,"score_gpt":0.21869022536302204,"score_spread":0.19548427264786694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138622613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4774331,0.00051354634,0.516079,0.003433686,0.0009402485,0.00019788838,0.000026071199,0.000005129873,0.0013713157],"genre_scores_gemma":[0.9946941,0.00058970373,0.0019559273,0.002517611,0.00019605842,0.00000987025,0.0000074356167,0.000006667832,0.000022640652],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901223,0.000005853215,0.0006112111,0.000058240814,0.00019989861,0.000112575886],"domain_scores_gemma":[0.9994338,0.000030365638,0.00026626498,0.000083455736,0.000030627805,0.00015547826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008189948,0.00006300574,0.00017232944,0.000087044464,0.000025069296,0.0000399666,0.00022525895,0.000029602654,0.000035018635],"category_scores_gemma":[0.000082974824,0.0000547193,0.00012380815,0.000022963133,0.000018478646,0.00019090349,0.00006126932,0.000081387894,0.0000372049],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011195305,0.00018813336,0.012654872,0.00011451504,0.0016956034,0.0000053759227,0.0017210776,0.019280335,6.1732027e-7,0.34748003,0.002476141,0.61427134],"study_design_scores_gemma":[0.0023183378,0.00028399774,0.022947261,0.00013284256,0.00006173958,0.000015435531,0.00047102195,0.119811825,0.000019611418,0.047255356,0.80643564,0.0002469324],"about_ca_topic_score_codex":0.0000027858016,"about_ca_topic_score_gemma":3.468918e-7,"teacher_disagreement_score":0.8039595,"about_ca_system_score_codex":0.000115671624,"about_ca_system_score_gemma":0.000012550789,"threshold_uncertainty_score":0.22313884},"labels":[],"label_agreement":null},{"id":"W2138717423","doi":"10.1093/ajae/aau012","title":"Capitalized Costs of Habitat Conservation Easements","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Easement; Acre; Habitat; Habitat conservation; Agricultural land; Agriculture; Land use; Matching (statistics); Business; Natural resource economics; Agroforestry; Geography; Environmental science; Ecology; Economics; Biology; Mathematics","score_opus":0.02625508370673155,"score_gpt":0.1889658555521663,"score_spread":0.16271077184543475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138717423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99567723,0.0001387363,0.0006607205,0.00070690445,0.00030971886,0.000086326436,0.000032891196,0.0000045615943,0.0023828999],"genre_scores_gemma":[0.9970856,0.00037454694,0.0019749724,0.0003405888,0.00010964067,0.0000025875477,0.00001954272,0.00001124129,0.000081288075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985005,0.000031126387,0.0011204681,0.00016309437,0.00002681099,0.00015797773],"domain_scores_gemma":[0.99728143,0.00007799445,0.0023634674,0.00013260609,0.000045739598,0.00009878814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054607174,0.00013536107,0.0005658564,0.000108046464,0.000041078685,0.000026785501,0.00020242872,0.00003723181,0.00010375233],"category_scores_gemma":[0.000069617134,0.00012354854,0.00018803871,0.00008125547,0.00015193856,0.00042885015,0.00003020314,0.00009034655,0.00010104211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007084726,0.00016903479,0.9161312,0.00001632705,0.00027534954,3.9220097e-7,0.0004900857,0.00416234,0.00047185976,0.07007742,0.001585768,0.0065493863],"study_design_scores_gemma":[0.0011089819,0.00061043527,0.99133056,0.000021158789,0.000023167428,0.000022969049,0.00081730395,0.00057552743,0.00045899733,0.0031023414,0.0017022447,0.00022628813],"about_ca_topic_score_codex":0.00021442135,"about_ca_topic_score_gemma":0.000041325115,"teacher_disagreement_score":0.075199395,"about_ca_system_score_codex":0.0002912509,"about_ca_system_score_gemma":0.000013150884,"threshold_uncertainty_score":0.5038163},"labels":[],"label_agreement":null},{"id":"W2138844040","doi":"10.1016/j.jenvman.2008.01.004","title":"The role of cultural models in local perceptions of SFM – Differences and similarities of interest groups from three boreal regions","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Geography; Forest management; Sustainable forest management; Sustainability; Taiga; Perception; Metis; Forestry; Ecology; Psychology","score_opus":0.08419916441567217,"score_gpt":0.194978117220463,"score_spread":0.11077895280479082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138844040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492186,0.0019766917,0.0015830038,0.00008368788,0.000045592904,0.00009518621,0.00008144679,7.6001055e-7,0.0012117829],"genre_scores_gemma":[0.99072826,0.008751284,0.0004357325,0.000010288821,0.000015224994,0.0000034247137,0.0000052467894,0.0000058917444,0.000044632972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900115,0.000016228865,0.00073316344,0.000108106826,0.000050190836,0.0000911664],"domain_scores_gemma":[0.9992499,0.000041796768,0.0005564755,0.00011964109,0.0000023452767,0.000029844456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018431562,0.00008704192,0.0002785012,0.00008904803,0.000050520473,0.000005942133,0.00015777034,0.000036030622,0.000070545735],"category_scores_gemma":[0.0000027722594,0.00007310034,0.00009269217,0.000027471175,0.00042064665,0.00023691665,0.00010656663,0.00008442423,0.0000023924265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045309625,0.00022969356,0.96685064,0.000012127502,0.00011804115,0.00000185713,0.0014845313,0.001515035,0.00013003605,0.027077219,0.000024684405,0.0025108014],"study_design_scores_gemma":[0.00045263788,0.00012526658,0.9315491,0.00002831055,0.000016559634,0.0000039765555,0.00979135,0.0026428779,0.000055923738,0.05522318,0.00004781884,0.000063051455],"about_ca_topic_score_codex":0.00018911171,"about_ca_topic_score_gemma":0.00013043651,"teacher_disagreement_score":0.03530162,"about_ca_system_score_codex":0.000098017015,"about_ca_system_score_gemma":0.0000018850799,"threshold_uncertainty_score":0.29809454},"labels":[],"label_agreement":null},{"id":"W2138980794","doi":"10.1002/hec.1730","title":"Budget allocation and the revealed social rate of time preference for health","year":2011,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Time preference; Preference; Consumption (sociology); Economics; Discounting; Microeconomics; Social preferences; Public economics; Finance; Sociology","score_opus":0.22611733403157064,"score_gpt":0.25555013722471015,"score_spread":0.029432803193139512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138980794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687103,0.0019381635,0.004758619,0.016239882,0.00031232298,0.0019137574,0.00057899335,0.000025699615,0.0055222847],"genre_scores_gemma":[0.989449,0.0038555148,0.0020413634,0.0038203658,0.000082740604,0.0001260007,0.000083158986,0.000024595382,0.0005172418],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99860626,0.00004602849,0.0008509049,0.00026891445,0.000006490055,0.00022141202],"domain_scores_gemma":[0.99869,0.00007842087,0.000982798,0.00017433216,0.000008310399,0.00006611671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002167245,0.00010328457,0.0004597255,0.00005615994,0.00019340798,0.000013078685,0.000118898366,0.000056347748,0.0001224015],"category_scores_gemma":[0.000028399076,0.000106793,0.000066200424,0.000028289907,0.00013419364,0.0001430139,0.000034430745,0.000060839648,0.000121040284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003650554,0.00012502992,0.030802963,0.00032960952,0.00009230953,1.8984988e-8,0.00970048,0.00008383252,0.000001986049,0.94305146,0.004793207,0.010654054],"study_design_scores_gemma":[0.007839326,0.00060760876,0.67460054,0.000033393186,0.000014977617,0.0000033117901,0.00042353917,0.032903913,0.000042838357,0.26016656,0.022851052,0.0005129314],"about_ca_topic_score_codex":0.00066217803,"about_ca_topic_score_gemma":0.00008761983,"teacher_disagreement_score":0.6828849,"about_ca_system_score_codex":0.0001899595,"about_ca_system_score_gemma":0.00007048255,"threshold_uncertainty_score":0.4354892},"labels":[],"label_agreement":null},{"id":"W2138995940","doi":"10.1093/ajae/aas078","title":"Are Food Choices Really Habitual? Integrating Habits, Variety‐seeking, and Compensatory Choice in a Utility‐maximizing Framework","year":2012,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Technology Sydney; Göteborgs Universitet; University of Arizona","keywords":"Variety (cybernetics); Food choice; Selection (genetic algorithm); Consumer choice; Cognition; Economics; Management science; Computer science; Microeconomics; Marketing; Psychology; Business; Artificial intelligence","score_opus":0.045421486717174255,"score_gpt":0.21803744637150949,"score_spread":0.17261595965433524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138995940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99558985,0.0018439747,0.00043047938,0.0005047458,0.0004068487,0.0001262333,0.000028027162,0.000010425919,0.0010593944],"genre_scores_gemma":[0.9927188,0.00049441465,0.0058304146,0.0005146491,0.00038733977,0.0000059169356,0.0000056512504,0.000021129998,0.000021657946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979722,0.00005207135,0.001245231,0.0002853511,0.000034060784,0.00041110432],"domain_scores_gemma":[0.9964934,0.00027449738,0.0028225475,0.00016620924,0.000025953312,0.0002174102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095035275,0.00025250472,0.00079570874,0.00017471278,0.00011151673,0.00010018906,0.00025050092,0.00010365025,0.00006278611],"category_scores_gemma":[0.00024487553,0.00023198829,0.00016153393,0.00015047235,0.00019965839,0.0011568087,0.00009215772,0.00049061776,0.000031708973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013026051,0.00008296878,0.9870371,0.00001168958,0.00008521079,4.0910354e-7,0.0011421809,0.0002680252,0.000018582814,0.008758977,0.00005839874,0.0025234006],"study_design_scores_gemma":[0.00042042948,0.00021153268,0.991162,0.000075057265,0.000015222964,0.000049738945,0.0040267883,0.00026696917,0.000020311074,0.0013476297,0.0021020605,0.00030227026],"about_ca_topic_score_codex":0.0002608867,"about_ca_topic_score_gemma":0.0003014696,"teacher_disagreement_score":0.0074113472,"about_ca_system_score_codex":0.0003887006,"about_ca_system_score_gemma":0.000016164458,"threshold_uncertainty_score":0.9460208},"labels":[],"label_agreement":null},{"id":"W2139213716","doi":"10.1017/s1744133110000344","title":"A discrete choice experiment investigating preferences for funding drugs used to treat orphan diseases: an exploratory study","year":2010,"lang":"en","type":"article","venue":"Health Economics Policy and Law","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Orphan drug; Rare disease; Medicine; Disease; Government (linguistics); Alternative medicine; Family medicine; Actuarial science; Public economics; Business; Economics; Bioinformatics; Pathology","score_opus":0.21223768966016535,"score_gpt":0.3455714671506768,"score_spread":0.13333377749051148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139213716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99544513,0.00017325948,0.00009785844,0.0012677034,0.0002649386,0.001243208,0.00038336625,0.000038129743,0.0010864155],"genre_scores_gemma":[0.99510926,0.000060697355,0.00073210715,0.0027897027,0.0005126298,0.00057336065,0.00006954252,0.000043127693,0.00010957295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980693,0.00003642639,0.0007473478,0.00066658034,0.000019243931,0.00046109286],"domain_scores_gemma":[0.998499,0.00012633743,0.00037847823,0.000370007,0.0000059843123,0.0006202283],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073778466,0.00023038122,0.0004741347,0.00017248186,0.00047681917,0.00017934406,0.00018446676,0.00007487489,0.00006274907],"category_scores_gemma":[0.000060005266,0.00027442712,0.000059223454,0.000060731072,0.00009936791,0.0006506536,0.000088448825,0.000119432865,0.000055630953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044198576,0.00042891517,0.31074458,0.00013607644,0.000056438894,1.4208457e-7,0.04579095,0.00033392254,0.00008622004,0.6392661,0.00013483303,0.0029776213],"study_design_scores_gemma":[0.01664855,0.008441711,0.53538096,0.00013621831,0.00009473735,0.0000075196613,0.052663255,0.016934188,0.0011604339,0.24419214,0.119750746,0.004589561],"about_ca_topic_score_codex":0.0039306036,"about_ca_topic_score_gemma":0.0062247114,"teacher_disagreement_score":0.39507395,"about_ca_system_score_codex":0.0002894979,"about_ca_system_score_gemma":0.0000905373,"threshold_uncertainty_score":0.9999708},"labels":[],"label_agreement":null},{"id":"W2140611427","doi":"10.7202/1005680ar","title":"Le calcul de la valeur statistique d’une vie humaine","year":2011,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; HEC Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.1231589575609967,"score_gpt":0.22904398486071814,"score_spread":0.10588502729972143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140611427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7612084,0.0034501578,0.020664576,0.0020872846,0.0009057578,0.00040468486,0.0007996105,0.000060353235,0.21041913],"genre_scores_gemma":[0.9618268,0.0035572257,0.012007138,0.0017621025,0.00029955647,0.00010421249,0.00012224914,0.00010446398,0.02021626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9971423,0.00024374061,0.0011577884,0.00076511037,0.00001906375,0.00067199656],"domain_scores_gemma":[0.9981774,0.000310571,0.00064353674,0.000601598,0.000013942551,0.0002529578],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017911633,0.00039121776,0.00069879997,0.00016752661,0.00020958943,0.000113764625,0.0004004795,0.0005585476,0.005782046],"category_scores_gemma":[0.00014766876,0.0005911258,0.00024738474,0.000113630755,0.00053769775,0.0006912426,0.0001528457,0.00044135022,0.0025625818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033372526,0.00044753644,0.09372987,0.00009619125,0.00017856399,0.000019879217,0.006087077,0.00024791836,0.000034208326,0.8908365,0.002690304,0.005598619],"study_design_scores_gemma":[0.0017137433,0.00023141327,0.39581525,0.00007735178,0.000048596634,0.000055235578,0.0009576453,0.0031668756,0.0012585054,0.25544477,0.340209,0.0010216254],"about_ca_topic_score_codex":0.014836042,"about_ca_topic_score_gemma":0.00080297975,"teacher_disagreement_score":0.6353917,"about_ca_system_score_codex":0.0007114454,"about_ca_system_score_gemma":0.00017675127,"threshold_uncertainty_score":0.999654},"labels":[],"label_agreement":null},{"id":"W2140699495","doi":"10.1111/j.1541-0072.2000.tb02021.x","title":"Environmentalism in One Country: Canadian Environmental Policy in an Era of Globalization","year":2000,"lang":"en","type":"article","venue":"Policy Studies Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University","funders":"","keywords":"Environmentalism; Globalization; Middle power; Politics; Decentralization; Political science; Reputation; Environmental policy; Environmental movement; Free trade; International trade; Development economics; Environmental protection; Political economy; Economics; Geography; Natural resource economics; Foreign policy; Law","score_opus":0.07514611456689382,"score_gpt":0.25650524893942284,"score_spread":0.181359134372529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140699495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99097043,0.0022592987,0.0000063396046,0.0015903417,0.000059690803,0.0001329307,0.00021325299,0.0000028328157,0.0047648693],"genre_scores_gemma":[0.9861912,0.012489079,0.000109594745,0.0007552977,0.00023176958,0.000008679566,0.0000340668,0.000017612138,0.00016268612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854463,0.000038103804,0.0007622274,0.00022671382,0.00005375984,0.00037454738],"domain_scores_gemma":[0.9994531,0.000012954264,0.00022885781,0.0001528468,0.0000015710823,0.00015063473],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044839448,0.00014639269,0.000360319,0.0004470381,0.000104329476,0.00002460764,0.00015677376,0.00007869747,0.0011136043],"category_scores_gemma":[0.00003057105,0.00018678817,0.000047056612,0.00020383831,0.00013760735,0.0004152383,0.000027315049,0.00019713829,0.0001752833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016004391,0.00019758988,0.97413474,0.0000069735497,0.0000491343,0.000005217523,0.003365627,0.0045923996,0.000030662748,0.009205636,0.00008008966,0.008315927],"study_design_scores_gemma":[0.0010212001,0.00008430539,0.9806226,0.00002396062,0.00000406225,0.000016016325,0.00093585294,0.0005691039,0.000017549191,0.01195748,0.0045523257,0.00019555882],"about_ca_topic_score_codex":0.09033175,"about_ca_topic_score_gemma":0.0431584,"teacher_disagreement_score":0.04717335,"about_ca_system_score_codex":0.0030699316,"about_ca_system_score_gemma":0.00005182055,"threshold_uncertainty_score":0.9997995},"labels":[],"label_agreement":null},{"id":"W2141053791","doi":"10.1080/13606719.2013.849503","title":"Fiscal implications of moving to tourism finance for parks: Ontario Provincial Parks","year":2013,"lang":"en","type":"article","venue":"Managing Leisure","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Government (linguistics); Fiscal year; Business; Diversity (politics); Public finance; Agricultural economics; Economics; Finance; Economic growth; Geography; Political science","score_opus":0.0412149798170597,"score_gpt":0.20913540516618645,"score_spread":0.16792042534912674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141053791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9648648,0.00011836897,0.020097744,0.0027970602,0.00017366585,0.0007503096,0.00006463278,0.000019221457,0.011114182],"genre_scores_gemma":[0.99099666,0.00001083415,0.0046416842,0.00021971774,0.000087251494,0.00032440302,0.000030673888,0.000018859613,0.0036699113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990153,0.000004823098,0.00042003914,0.00031872097,0.000019254167,0.00022188904],"domain_scores_gemma":[0.99943286,0.000031839896,0.00020775707,0.00026939594,0.00001143566,0.000046702833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022526081,0.00010896702,0.00024961395,0.000089839705,0.00009765047,0.00003967657,0.00017785093,0.000065285276,0.00035854563],"category_scores_gemma":[0.000021852708,0.00013487184,0.00008676381,0.00006163417,0.000024397408,0.00021431055,0.00006477033,0.00007606893,0.00038049475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060871716,0.000056968533,0.9452717,0.000033293516,0.000027028193,1.3911121e-7,0.00068078743,0.0024265428,0.00005107025,0.033669088,0.010662365,0.0071149603],"study_design_scores_gemma":[0.0002621038,0.000049132235,0.94064575,0.000012498231,0.0000060948396,4.986719e-7,0.000050121525,0.0020974092,0.000054652726,0.032855522,0.023795292,0.00017089296],"about_ca_topic_score_codex":0.008366031,"about_ca_topic_score_gemma":0.0031601193,"teacher_disagreement_score":0.02613185,"about_ca_system_score_codex":0.00022470765,"about_ca_system_score_gemma":0.000014549063,"threshold_uncertainty_score":0.9982374},"labels":[],"label_agreement":null},{"id":"W2141209297","doi":"10.1111/j.1467-8276.2007.00995.x","title":"Wildlife Damage and Agriculture: A Dynamic Analysis of Compensation Schemes","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Wildlife; Damages; Compensation (psychology); Wildlife conservation; Stock (firearms); Natural resource economics; Welfare; Business; Economics; Geography; Ecology; Market economy; Political science","score_opus":0.019598873636491373,"score_gpt":0.20269500415317612,"score_spread":0.18309613051668475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141209297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970375,0.0003315458,0.0014660849,0.00045449735,0.0001144452,0.000072438335,0.000054001717,0.000004680939,0.00046482577],"genre_scores_gemma":[0.9963273,0.00071696466,0.0025894865,0.00021712139,0.000051796796,7.6086366e-7,0.000042789114,0.000007726757,0.00004605652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984194,0.000014370592,0.001159051,0.00019917334,0.000029792152,0.00017818522],"domain_scores_gemma":[0.9974381,0.00008516158,0.002202072,0.00011589954,0.000041452487,0.000117370946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071471743,0.00015034889,0.00074074283,0.00033633396,0.000051879753,0.00003273543,0.00015864808,0.000051244053,0.000055992226],"category_scores_gemma":[0.000028583261,0.00012638896,0.00025141303,0.0003713303,0.0001855537,0.0004127961,0.0000372866,0.00012579476,0.000011331645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009499222,0.00022177998,0.94246256,0.000019364034,0.0033623416,0.0000024877859,0.0017283098,0.013028129,0.0025597329,0.02761021,0.00025441463,0.008655663],"study_design_scores_gemma":[0.00033968486,0.00020025326,0.99537826,0.0000066268167,0.00017706012,0.00001837196,0.0018113364,0.00069959724,0.00022230786,0.0003538231,0.000614494,0.00017816029],"about_ca_topic_score_codex":0.00010879396,"about_ca_topic_score_gemma":0.0001192246,"teacher_disagreement_score":0.05291571,"about_ca_system_score_codex":0.0002179658,"about_ca_system_score_gemma":0.000008703909,"threshold_uncertainty_score":0.5153992},"labels":[],"label_agreement":null},{"id":"W2141551881","doi":"10.3968/j.css.1923669720070303.010","title":"Estimating the Value of Forestry Eco-tourism Products by Contingent Valuation Method","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Tourism; Forestry; Value (mathematics); Valuation (finance); Willingness to pay; Business; Geography; Economics; Mathematics; Microeconomics; Archaeology","score_opus":0.05069660529826012,"score_gpt":0.24934214503222799,"score_spread":0.19864553973396787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141551881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9627544,0.000066086126,0.0028057972,0.0021449297,0.00078496337,0.00022503351,0.000066173634,0.0000065944478,0.031146009],"genre_scores_gemma":[0.99110925,0.0000015536439,0.008241045,0.0002511024,0.00018432636,0.000013172028,0.000007678358,0.000006955794,0.00018493735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991231,0.0000143250745,0.00028137024,0.00026731388,0.000056520734,0.0002573532],"domain_scores_gemma":[0.9993709,0.000028233102,0.00026196617,0.00021209892,0.000024476965,0.00010232971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002506321,0.00006703665,0.00012390678,0.00007623548,0.0004700213,0.00005590995,0.0004139627,0.00005677626,0.00012408714],"category_scores_gemma":[0.00046451756,0.00006864066,0.000032751213,0.00022944098,0.00033033194,0.00022859976,0.000039831335,0.00012839118,0.00006009995],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018138211,0.00003648136,0.3909361,0.000019724737,0.000021304495,5.715454e-7,0.0039120615,0.00044357634,0.00832469,0.5689272,0.006157632,0.021218784],"study_design_scores_gemma":[0.0004924932,0.00004845583,0.7627805,0.000009667115,0.000019637813,0.00000401496,0.0009143847,0.09813547,0.006198613,0.108993165,0.021879226,0.00052435783],"about_ca_topic_score_codex":0.011722525,"about_ca_topic_score_gemma":0.0014585719,"teacher_disagreement_score":0.4599341,"about_ca_system_score_codex":0.00023195347,"about_ca_system_score_gemma":0.00015187339,"threshold_uncertainty_score":0.9948585},"labels":[],"label_agreement":null},{"id":"W2142564731","doi":"10.1111/j.2041-210x.2011.00154.x","title":"Cost‐effective variable selection in habitat surveys","year":2011,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Korea Electrotechnology Research Institute","keywords":"Protocol (science); Variable (mathematics); Survey data collection; Computer science; Variables; Data collection; Variable cost; Survey methodology; Cost efficiency; Cost effectiveness; Econometrics; Statistics; Operations research; Mathematics; Economics","score_opus":0.1356613002447551,"score_gpt":0.3009795652744768,"score_spread":0.1653182650297217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142564731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6588899,0.00025233612,0.3329661,0.000019505127,0.0002854581,0.0003867846,0.0000048610173,0.0000106271045,0.00718444],"genre_scores_gemma":[0.89922905,0.000058767586,0.10032005,0.00004136202,0.00001605769,0.00020098101,0.000004875786,0.0000075305325,0.00012130458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869245,0.00046097854,0.00034395664,0.00029414566,0.000007269505,0.0002011782],"domain_scores_gemma":[0.9996178,0.00016664926,0.00012167347,0.00006333343,0.0000046073355,0.000025942656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053059375,0.00008442807,0.00024151152,0.00024815107,0.00005353648,0.000005104552,0.00004551551,0.00017870418,0.00026032297],"category_scores_gemma":[0.0002019294,0.0001090142,0.000020094323,0.00017599635,0.000063228035,0.00023126681,0.000030269195,0.00015430273,0.000093622],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013141359,0.00007612396,0.95206845,0.0000057824186,0.000007597239,3.1626178e-7,0.00030846367,0.0003610923,0.00005281605,0.043871183,0.000009664879,0.0032253738],"study_design_scores_gemma":[0.00045103015,0.00007847159,0.8271294,0.000003052182,0.0000021349185,0.0000029283474,0.000056260465,0.009008679,0.00005727027,0.16301902,0.00009960758,0.00009211977],"about_ca_topic_score_codex":0.0009523882,"about_ca_topic_score_gemma":0.0016099208,"teacher_disagreement_score":0.24033916,"about_ca_system_score_codex":0.00047667883,"about_ca_system_score_gemma":0.000008181446,"threshold_uncertainty_score":0.44454703},"labels":[],"label_agreement":null},{"id":"W2142858195","doi":"10.5539/jas.v6n6p86","title":"The Value-Added Dog Food Market: Do Dog Owners Prefer Natural or Organic Dog Foods?","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"New Mexico State University","keywords":"Natural food; Respondent; Product (mathematics); Ingredient; Business; Natural (archaeology); Food science; Agricultural science; Marketing; Mathematics; Geography; Biology","score_opus":0.03174324613325212,"score_gpt":0.20659616019068278,"score_spread":0.17485291405743064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142858195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880022,0.000769433,0.00012780464,0.0018000756,0.0013588581,0.00014868761,0.000005958733,0.000009612036,0.007777375],"genre_scores_gemma":[0.996511,0.00034662595,0.00051875814,0.00020141547,0.0003259821,0.0000033800613,0.000001079703,0.00000825659,0.0020835127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827886,0.00004030574,0.0007824005,0.00030952782,0.00018340407,0.00040549814],"domain_scores_gemma":[0.9984487,0.00014909724,0.0009500107,0.00021679158,0.00006736408,0.00016798695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024323072,0.00017593296,0.0003000099,0.00009676486,0.0005301649,0.00036044524,0.00083736016,0.00006514427,0.0004346786],"category_scores_gemma":[0.00040408343,0.00008658934,0.00016023991,0.00043314445,0.00028637552,0.0011027682,0.00012952884,0.00027692885,0.0001741486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045973362,0.0010502061,0.57017475,0.00014169372,0.0011626676,0.000014703791,0.008407256,0.0064680856,0.0675432,0.20499092,0.09396911,0.045617655],"study_design_scores_gemma":[0.0006053681,0.00041010813,0.98455924,0.000020918207,0.000013841279,0.00008246484,0.0004930149,0.00040076615,0.0007595418,0.0031504566,0.00926717,0.00023712941],"about_ca_topic_score_codex":0.000011169589,"about_ca_topic_score_gemma":0.00001782908,"teacher_disagreement_score":0.41438445,"about_ca_system_score_codex":0.00042249882,"about_ca_system_score_gemma":0.0000421155,"threshold_uncertainty_score":0.47594258},"labels":[],"label_agreement":null},{"id":"W2143168208","doi":"","title":"Predicting future threats to biodiversity from habitat selection by humans","year":2002,"lang":"en","type":"article","venue":"Evolutionary ecology research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Biodiversity; Threatened species; Habitat; Ecology; Habitat destruction; Population; Per capita; Biology; Environmental resource management; Geography; Demography","score_opus":0.14217247540389422,"score_gpt":0.2686243000759896,"score_spread":0.12645182467209537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143168208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98460835,0.0020984088,0.000118060656,0.0052555236,0.00041366255,0.00030727813,0.00044236588,0.000041342173,0.00671503],"genre_scores_gemma":[0.9942374,0.00044767582,0.00045838187,0.00026140202,0.0003313158,0.000056614903,0.00016428197,0.000010547107,0.0040323613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859375,0.00008051286,0.00029805934,0.00053961005,0.00006737473,0.00042070643],"domain_scores_gemma":[0.9994626,0.000119233955,0.00007834494,0.0001877022,0.000028559492,0.0001235676],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00063037383,0.00010487393,0.00019203528,0.00025047673,0.0006549132,0.000026087198,0.0002139225,0.00019086763,0.008784255],"category_scores_gemma":[0.00006483752,0.00013813906,0.000057315734,0.00023714613,0.00012078129,0.00027770447,0.00014894245,0.00032477162,0.015226034],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000093398485,0.000106583604,0.8247844,0.000001957507,0.0000274706,9.8611e-7,0.00024039956,0.000098318385,0.000047715195,0.0009734128,0.17357044,0.00013900445],"study_design_scores_gemma":[0.00033297425,0.00019446244,0.97221416,0.000001971082,0.0000026857765,0.0000020377397,0.00022458924,0.0035863842,0.000017193326,0.006379686,0.01691088,0.00013294774],"about_ca_topic_score_codex":0.00032730307,"about_ca_topic_score_gemma":0.0004445019,"teacher_disagreement_score":0.15665956,"about_ca_system_score_codex":0.0008281254,"about_ca_system_score_gemma":0.000008938694,"threshold_uncertainty_score":0.9921219},"labels":[],"label_agreement":null},{"id":"W2143231663","doi":"","title":"Simulated and human metapopulations created by habitat selection","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Metapopulation; Habitat; Selection (genetic algorithm); Extinction (optical mineralogy); Ecology; Local extinction; Biology; Ideal free distribution; Population density; Population; Density dependence; Biological dispersal; Demography","score_opus":0.05153199900138156,"score_gpt":0.21046538337323634,"score_spread":0.15893338437185478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143231663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96698004,0.00021768747,0.0020972101,0.00013469654,0.000030825344,0.00010611586,0.00002548907,0.000046094694,0.03036182],"genre_scores_gemma":[0.99197614,0.000009912667,0.00033739823,0.00006371043,0.000022272605,0.0000048985753,0.0001931473,0.0000116575075,0.007380869],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993463,0.000006162899,0.0003168175,0.0002119577,0.000010816033,0.00010792911],"domain_scores_gemma":[0.9997859,0.000011417419,0.00010242539,0.000069697286,0.0000038808384,0.000026670888],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012446237,0.000076871496,0.00013340151,0.00007125166,0.00013839919,0.000038199585,0.000028352742,0.00005580023,0.0009755896],"category_scores_gemma":[0.0000051106767,0.0000921635,0.000029428385,0.00006995186,0.000026530559,0.00019447727,0.000011994059,0.000039109746,0.0002632991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.983033e-7,0.000039423336,0.914829,0.0000016163783,0.0000129164455,4.254737e-8,0.0000087470025,0.0016375037,0.000635612,0.08007582,0.002726973,0.00003134761],"study_design_scores_gemma":[0.00045374522,0.00003506166,0.9510827,0.0000010535177,0.0000076280166,9.956966e-7,0.000011865752,0.014919368,0.00041564938,0.028229874,0.004682229,0.00015982456],"about_ca_topic_score_codex":0.0022829524,"about_ca_topic_score_gemma":0.00020784438,"teacher_disagreement_score":0.05184595,"about_ca_system_score_codex":0.0000752193,"about_ca_system_score_gemma":0.0000010213472,"threshold_uncertainty_score":0.99993765},"labels":[],"label_agreement":null},{"id":"W2144159519","doi":"10.1016/j.culher.2008.09.003","title":"Comparing cultural heritage values in South East Asia – Possibilities and difficulties in cross-country transfers of economic values","year":2009,"lang":"en","type":"article","venue":"Journal of Cultural Heritage","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Purchasing power parity; Contingent valuation; Valuation (finance); Economics; Cultural heritage; Public economics; Income elasticity of demand; Willingness to pay; Geography; Demographic economics; Development economics; Econometrics; Macroeconomics; Exchange rate; Finance","score_opus":0.060536676849960835,"score_gpt":0.25343539302650303,"score_spread":0.1928987161765422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144159519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500394,0.002612183,0.00000781298,0.00010926259,0.00018623898,0.00013494064,0.000052525076,0.000006863027,0.0018862088],"genre_scores_gemma":[0.99876875,0.00039785064,0.00041811497,0.000036276335,0.00008875038,0.0000020596915,0.000008945453,0.000011406393,0.0002678203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807125,0.00004089882,0.0013440936,0.00023756796,0.00005398905,0.0002521714],"domain_scores_gemma":[0.9992326,0.00003414216,0.0005318207,0.00011048858,0.000018601919,0.000072357645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071368646,0.00020977495,0.0007212545,0.00016308899,0.000056548197,0.00012857594,0.0001896382,0.00012940989,0.00007660531],"category_scores_gemma":[0.000038348055,0.00019055656,0.00015533653,0.00007350848,0.0002037766,0.0013661346,0.000022490074,0.00027815602,0.000011191532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014560211,0.00012120692,0.95663697,0.000062837564,0.00004161192,0.000007908789,0.033783007,0.0047069807,0.0007656203,0.0034550969,0.000035364526,0.00023777936],"study_design_scores_gemma":[0.001751624,0.00025141868,0.9539382,0.000101233556,0.000007998973,0.000023510906,0.038215578,0.0011669861,0.00023618607,0.004043076,0.000021124377,0.00024310127],"about_ca_topic_score_codex":0.00012018943,"about_ca_topic_score_gemma":0.000111685746,"teacher_disagreement_score":0.0044325693,"about_ca_system_score_codex":0.00038131882,"about_ca_system_score_gemma":0.000014280739,"threshold_uncertainty_score":0.77706707},"labels":[],"label_agreement":null},{"id":"W2144439980","doi":"10.1287/trsc.1100.0321","title":"Estimating Nonparametric Random Utility Models with an Application to the Value of Time in Heterogeneous Populations","year":2010,"lang":"en","type":"article","venue":"Transportation Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Région de Bruxelles-Capitale","keywords":"Nonparametric statistics; Mixed logit; Randomness; Parametric statistics; Logit; Mathematical optimization; Population; Econometrics; A priori and a posteriori; Discrete choice; Computer science; Parametric model; Mathematics; Statistics; Logistic regression","score_opus":0.06947254412119379,"score_gpt":0.2583609363375154,"score_spread":0.1888883922163216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144439980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7410234,0.0000064568453,0.25825343,0.00007815283,0.000044129727,0.0002837071,0.000029939943,0.000007461326,0.0002733203],"genre_scores_gemma":[0.970179,9.609437e-7,0.029679468,0.000044659442,0.000009701589,0.000044882632,0.000025455893,0.000005608113,0.000010245753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999096,0.000007001204,0.00041171134,0.00029554468,0.000067643676,0.00012210211],"domain_scores_gemma":[0.9994367,0.000025063293,0.00019130352,0.00027458326,0.000019654764,0.000052705327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001090057,0.000064473556,0.00013346534,0.0001901583,0.0001147831,0.000023175802,0.00022205246,0.000027077673,0.000057811874],"category_scores_gemma":[0.00002543734,0.0000579506,0.000021496258,0.0006267191,0.00012591406,0.0005093179,0.00000368356,0.00006871695,0.000050771265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016474723,0.000046966292,0.1779488,0.000002846555,0.000001225118,6.377912e-8,0.00085146574,0.80039763,0.00048810957,0.01891417,4.960747e-7,0.0013317635],"study_design_scores_gemma":[0.00018481044,0.000020937992,0.4467186,0.000001471269,0.0000017155654,3.3563344e-7,0.000014412774,0.54597646,0.00017323327,0.006855757,0.000005228009,0.000047011927],"about_ca_topic_score_codex":0.00065631926,"about_ca_topic_score_gemma":0.0009237775,"teacher_disagreement_score":0.2687698,"about_ca_system_score_codex":0.00003178835,"about_ca_system_score_gemma":0.000020634969,"threshold_uncertainty_score":0.2363157},"labels":[],"label_agreement":null},{"id":"W2144976757","doi":"10.5558/tfc83490-4","title":"The influence of forested landscape attributes on hunter site choice and participation","year":2007,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"TRIPS architecture; Valuation (finance); Recreation; Geography; Multinomial logistic regression; Foothills; Discrete choice; Revealed preference; Environmental resource management; Forest management; Habitat; Ecosystem services; Forestry; Ecology; Computer science; Environmental science; Ecosystem; Business; Econometrics; Economics; Cartography","score_opus":0.050377484295113455,"score_gpt":0.2437103790706343,"score_spread":0.19333289477552085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144976757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997676,0.00059500284,0.00010121707,0.0004194522,0.000044867156,0.00013004256,0.000019999097,0.000008184684,0.0010052375],"genre_scores_gemma":[0.9995314,0.000097475444,0.00001212334,0.0001223339,0.00004610635,0.000009337433,0.0000082882125,0.0000074680256,0.00016548774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936885,0.000008623457,0.00029393632,0.0001270562,0.000025744603,0.00017580522],"domain_scores_gemma":[0.9993358,0.00022462988,0.00018612335,0.00021857787,0.000006002721,0.000028857716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062522443,0.00006615336,0.00009618546,0.000021341226,0.0001516036,0.000023328137,0.000109792,0.00003748071,0.000038601607],"category_scores_gemma":[0.000066199,0.00004721515,0.000029122975,0.000055435212,0.00011414959,0.00011998828,0.000041584037,0.00007007695,0.00012600161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017796543,0.00002060605,0.97749865,0.0000057027974,0.000013694434,9.391114e-8,0.00018407004,0.0052174614,0.000084867395,0.016227907,0.00013976592,0.0005893919],"study_design_scores_gemma":[0.0003462123,0.000081024744,0.9905151,0.0000072624484,0.000004075016,6.11185e-7,0.00003542395,0.0032708757,0.0005228154,0.0035510433,0.0016073757,0.000058162765],"about_ca_topic_score_codex":0.00010696691,"about_ca_topic_score_gemma":0.00020614252,"teacher_disagreement_score":0.013016475,"about_ca_system_score_codex":0.000049674305,"about_ca_system_score_gemma":0.000004468722,"threshold_uncertainty_score":0.1925378},"labels":[],"label_agreement":null},{"id":"W2145346510","doi":"10.1126/science.aaa1602","title":"Response to Comment on “Using ecological thresholds to evaluate the costs and benefits of set-asides in a biodiversity hotspot”","year":2015,"lang":"en","type":"letter","venue":"Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transaction cost; Payment; Set-aside; Biodiversity hotspot; Biodiversity; Business; Database transaction; Natural resource economics; Set (abstract data type); Environmental economics; Environmental resource management; Economics; Computer science; Ecology; Finance; Database","score_opus":0.23925460140660434,"score_gpt":0.28069028269973567,"score_spread":0.04143568129313133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145346510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7434155,0.0000747181,0.0000062020526,0.25542316,0.00016053458,0.0003282727,0.00017045866,0.0000030162953,0.0004181957],"genre_scores_gemma":[0.635523,0.000021611706,0.00028946024,0.36400816,0.000045621877,0.000014349514,0.000006603676,0.000005863036,0.00008531488],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9987141,0.00005604205,0.00032123888,0.00051629986,0.00011907867,0.00027327726],"domain_scores_gemma":[0.9992935,0.00014323794,0.00014073888,0.0003233062,0.000019497384,0.00007972951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004330805,0.0001377133,0.00028440863,0.00036914131,0.00013758501,0.000057356534,0.00044830758,0.0001274506,0.000092911716],"category_scores_gemma":[0.00026067195,0.00012073025,0.000031918386,0.00025339087,0.00028073342,0.00011810183,0.00035783995,0.00022578426,0.00031631064],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005705914,0.00016775094,0.3129948,0.000027866545,0.000028137423,0.000018002465,0.0067705275,0.013258018,0.00021407109,0.001074406,0.66359055,0.0012852412],"study_design_scores_gemma":[0.00052523665,0.0004879654,0.8625287,0.00005866022,0.0000072562298,0.000003696109,0.00023216978,0.00062791706,0.0001394278,0.0020871193,0.13296345,0.00033841305],"about_ca_topic_score_codex":0.00035181877,"about_ca_topic_score_gemma":0.00004469389,"teacher_disagreement_score":0.5495339,"about_ca_system_score_codex":0.0010172131,"about_ca_system_score_gemma":0.00004873248,"threshold_uncertainty_score":0.49232367},"labels":[],"label_agreement":null},{"id":"W2145483734","doi":"10.1007/s10203-011-0110-6","title":"Allocation of public funds to R&amp;D: a portfolio choice-styled decision model and a biotechnology case study","year":2011,"lang":"en","type":"article","venue":"Decisions in Economics and Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Planner; Resource allocation; Portfolio; Status quo; Portfolio allocation; Economics; Welfare; Public welfare; Distribution (mathematics); Optimal allocation; Social planner; Variety (cybernetics); Actuarial science; Business; Microeconomics; Public economics; Computer science; Finance; Management","score_opus":0.18900928754160978,"score_gpt":0.26866567724033785,"score_spread":0.07965638969872807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145483734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861092,0.0004913544,0.011931291,0.00010621764,0.00009662898,0.00042197327,0.000060352446,0.000009374845,0.0007736157],"genre_scores_gemma":[0.9754264,0.009201783,0.015095162,0.00007999625,0.000009363932,0.00007060074,0.000004979086,0.000020545178,0.00009117651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817353,0.000011113055,0.00094427203,0.0006168904,0.000017491722,0.00023666985],"domain_scores_gemma":[0.9989819,0.000102188955,0.00032887372,0.00049900677,0.000013442332,0.00007460791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085037574,0.00017078889,0.00045582867,0.00062203204,0.00009110545,0.000031212363,0.00018187809,0.00016009221,0.000023092707],"category_scores_gemma":[0.00017855865,0.00020936049,0.000042664236,0.00019366038,0.000090185815,0.00031528002,0.0002305449,0.000112157824,0.000042559044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005263849,0.0007568491,0.62514925,0.0000031859272,0.00004148987,0.000020729629,0.0026720434,0.0063554347,0.00001820363,0.15557829,0.00005098918,0.2093009],"study_design_scores_gemma":[0.0026689004,0.00047193342,0.76942474,0.000025155563,0.000014880364,0.00018918191,0.0013833379,0.1224666,0.000037752263,0.09502129,0.0076461486,0.0006500667],"about_ca_topic_score_codex":0.0005826198,"about_ca_topic_score_gemma":0.0018638605,"teacher_disagreement_score":0.20865083,"about_ca_system_score_codex":0.00010461614,"about_ca_system_score_gemma":0.00001916116,"threshold_uncertainty_score":0.8537473},"labels":[],"label_agreement":null},{"id":"W2146244808","doi":"10.1111/cobi.12299","title":"Defining the Impact of Non‐Native Species","year":2014,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":436,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Natural Environment Research Council; Akademie Věd České Republiky; DST-NRF Centre of Excellence for Invasion Biology; Austrian Science Fund; Agence Nationale de la Recherche; Deutscher Akademischer Austauschdienst; Grantová Agentura České Republiky; Leverhulme Trust; Department of Science and Technology, Ministry of Science and Technology, India; Deutsche Forschungsgemeinschaft; National Research Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Biodiversa+; Univerzita Karlova v Praze; National Science Foundation","keywords":"Biodiversity; Stakeholder; Legislature; Ecology; Environmental resource management; Introduced species; Ecosystem; Scale (ratio); Geography; Political science; Biology; Environmental science; Cartography; Public relations","score_opus":0.08990773722564598,"score_gpt":0.25468949287445297,"score_spread":0.16478175564880698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146244808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644211,0.00017901682,0.009137281,0.00067334593,0.000101584104,0.00007308432,0.000039546987,0.000005656879,0.02536937],"genre_scores_gemma":[0.99905765,0.00003822932,0.0002336661,0.0002912869,0.000028300848,0.000008841848,0.00004422153,0.0000044703966,0.00029332426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948794,0.000022021619,0.00027819775,0.00012179284,0.0000056966433,0.00008436049],"domain_scores_gemma":[0.9994303,0.0001413208,0.00027222955,0.00013324391,0.000010038222,0.00001286857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004260598,0.0000567469,0.00015357343,0.000047018286,0.00005007701,0.0000064169476,0.00009073548,0.000048631184,0.0005325422],"category_scores_gemma":[0.00013010674,0.000045235753,0.00006420628,0.00005383857,0.00012283267,0.00006075346,0.00002436704,0.000042369797,0.0002678246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025562156,0.000006944113,0.69914246,9.2807136e-7,0.00001560345,5.5584257e-9,0.00012340164,0.00013169482,0.00012402823,0.29969397,0.0004700968,0.0002883344],"study_design_scores_gemma":[0.00018877626,0.0000815611,0.9572106,0.0000015865822,0.0000014490264,3.8398494e-7,0.000039035567,0.008598828,0.00017146903,0.030619007,0.003034539,0.00005279214],"about_ca_topic_score_codex":0.00035601712,"about_ca_topic_score_gemma":0.000012298958,"teacher_disagreement_score":0.26907498,"about_ca_system_score_codex":0.000050559825,"about_ca_system_score_gemma":0.0000075656812,"threshold_uncertainty_score":0.5830963},"labels":[],"label_agreement":null},{"id":"W2146368207","doi":"","title":"State-of-the-Wilderness Reporting in Ontario: Models, Tools and Techniques","year":2000,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wilderness; Wilderness area; Geography; Harmony (color); Population; Environmental planning; Political science; Sociology; Ecology","score_opus":0.13739550602637146,"score_gpt":0.21726432866095685,"score_spread":0.07986882263458539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146368207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93101895,0.000083955136,0.0003759541,0.000070934635,0.000022486349,0.00012961858,0.000005861975,0.000008646177,0.0682836],"genre_scores_gemma":[0.9922879,0.00008054733,0.0011972327,0.000079297,0.0000034122754,0.000012339292,0.0000029101423,0.0000064590226,0.006329916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989557,0.000004304687,0.00076400157,0.00017071323,0.000012273553,0.00009300466],"domain_scores_gemma":[0.9994658,0.000010296164,0.000363047,0.00014370985,0.0000016904568,0.000015461752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042815745,0.000057171408,0.00016761787,0.0000354138,0.000024647163,0.000016934402,0.00006176217,0.00003145242,0.00077424507],"category_scores_gemma":[0.000013206871,0.000055484514,0.000032624463,0.00003468348,0.00003077857,0.000270058,0.000027687947,0.000067447785,0.00001686007],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028565062,0.000021973427,0.9661124,0.000004248485,0.0000040387063,3.105775e-7,0.00033920794,0.0010202844,0.000011012529,0.0067224246,0.000022187882,0.025739092],"study_design_scores_gemma":[0.000121633115,0.0000119700935,0.9227309,0.000010663182,9.276819e-7,0.000002329831,0.000020880438,0.0023500565,0.00052007707,0.07289998,0.0012409849,0.00008957789],"about_ca_topic_score_codex":0.02854857,"about_ca_topic_score_gemma":0.020109735,"teacher_disagreement_score":0.066177554,"about_ca_system_score_codex":0.00012225317,"about_ca_system_score_gemma":0.000009265148,"threshold_uncertainty_score":0.9977707},"labels":[],"label_agreement":null},{"id":"W2146385093","doi":"10.1007/978-3-540-71404-0_8","title":"The Value of Extent-of-Preference Information in Choice-Based Conjoint Analysis","year":2007,"lang":"fr","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Conjoint analysis; Preference; Value (mathematics); Psychology; Statistics; Econometrics; Mathematics","score_opus":0.1320628606894817,"score_gpt":0.23080714109844433,"score_spread":0.09874428040896263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146385093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4951812,0.0025610782,0.046650298,0.00041924312,0.0007737336,0.0008327742,0.0005128366,0.000010957918,0.45305786],"genre_scores_gemma":[0.9889104,0.0017167723,0.0015180744,0.00013527436,0.000026927532,0.000011740272,0.00023209742,0.00001544642,0.007433299],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970121,0.000019180348,0.0023663964,0.00027736224,0.00007948459,0.00024548202],"domain_scores_gemma":[0.9968883,0.00041222508,0.002095893,0.0005156431,0.000036386013,0.00005157008],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001524943,0.00025517406,0.00079939805,0.0008068332,0.00006917058,0.000030624833,0.0002995852,0.00032629797,0.0028431786],"category_scores_gemma":[0.00009028626,0.00026406627,0.00042577524,0.00017227368,0.00035541173,0.00036848115,0.00007448282,0.00022603455,0.00037135973],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022595608,0.000041809075,0.26359168,0.00006621996,0.000330851,1.7175053e-7,0.00009997182,0.034592204,0.0000024188494,0.689649,0.0000113713595,0.011591715],"study_design_scores_gemma":[0.00093279243,0.00013240932,0.8313855,0.000101077894,0.00022657178,3.2482828e-7,0.000119588636,0.13249286,0.00023781926,0.01019924,0.023750877,0.00042095775],"about_ca_topic_score_codex":0.0019013806,"about_ca_topic_score_gemma":0.00080711726,"teacher_disagreement_score":0.6794498,"about_ca_system_score_codex":0.00037482614,"about_ca_system_score_gemma":0.000034876677,"threshold_uncertainty_score":0.99998116},"labels":[],"label_agreement":null},{"id":"W2146643548","doi":"10.5430/bmr.v1n4p141","title":"The Recreational Value of Bama in China: One of the Five World’s Longevity Townships","year":2012,"lang":"en","type":"article","venue":"Business and Management Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Bama; Recreation; China; Tourism; Value (mathematics); Partition (number theory); Longevity; Geography; Statistics; Mathematics; Political science","score_opus":0.19149839605919425,"score_gpt":0.2858282057466411,"score_spread":0.09432980968744684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146643548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622353,0.0015789605,0.00011114841,0.0017706465,0.00008997057,0.00035988033,0.000010513019,0.0000014836655,0.033842146],"genre_scores_gemma":[0.99260885,0.0026290198,0.000119362616,0.000013952577,0.000030890376,0.00003806871,0.000004143184,0.000005102718,0.0045505865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928737,0.000049880757,0.00027934698,0.00012384969,0.00007499792,0.00018454004],"domain_scores_gemma":[0.99955463,0.00008151285,0.00011680226,0.00021000755,0.000015736963,0.00002132047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00247359,0.00004978433,0.00012459044,0.00014057003,0.000120944984,0.000018087094,0.00016808322,0.000022342776,0.00012913672],"category_scores_gemma":[0.000058034842,0.000037413112,0.000025208708,0.00035502142,0.00016794835,0.00013753388,0.0002488236,0.00008396124,0.000017111714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012574576,0.00008728365,0.5735367,0.000061447834,0.000018245273,5.0417093e-8,0.00013314848,0.00010441731,0.0000039101437,0.42233175,0.0002420119,0.0034684932],"study_design_scores_gemma":[0.00022296082,0.000006338712,0.9830903,0.0000310746,0.0000026885716,1.0605827e-7,0.0001161568,0.00028867964,0.0000313438,0.011790403,0.004380436,0.00003954635],"about_ca_topic_score_codex":0.0007728179,"about_ca_topic_score_gemma":0.00016956784,"teacher_disagreement_score":0.41054133,"about_ca_system_score_codex":0.00007139507,"about_ca_system_score_gemma":0.0000052792484,"threshold_uncertainty_score":0.15256624},"labels":[],"label_agreement":null},{"id":"W2146774271","doi":"10.1287/mnsc.49.9.1229.16574","title":"Virtual Progress: The Effect of Path Characteristics on Perceptions of Progress and Choice","year":2003,"lang":"en","type":"article","venue":"Management Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Path (computing); Computer science; Service (business); Idle; Perception; Cover (algebra); Econometrics; Marketing; Operations research; Economics; Microeconomics; Business; Mathematics; Engineering; Psychology","score_opus":0.026448690470680134,"score_gpt":0.22664325361889198,"score_spread":0.20019456314821185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146774271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99309224,0.00008945912,0.0002627858,0.00007563028,0.00010190826,0.000303127,0.000012127314,0.000004414677,0.006058303],"genre_scores_gemma":[0.9993856,0.00006938619,0.00028242433,0.000026328315,0.000007232175,0.00003257653,0.0000016239923,0.00000400219,0.00019085906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936837,0.000015606509,0.00023217362,0.00021371846,0.00005203087,0.0001181052],"domain_scores_gemma":[0.9995359,0.000030965817,0.00019801816,0.00020727403,0.000003829666,0.000024015655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010084489,0.00006583921,0.00013080453,0.000086708125,0.00010868311,0.000026311563,0.00016662906,0.0000144998485,0.00006953787],"category_scores_gemma":[0.000035456953,0.000052837666,0.00002451539,0.00014789058,0.0006163736,0.00012262525,0.000058348192,0.000034302444,0.000039406423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034075895,0.000035635636,0.8987159,0.000026828564,0.000008111047,1.2322768e-7,0.000120314195,0.000020978234,0.000014331816,0.092999436,0.000018041901,0.008036856],"study_design_scores_gemma":[0.00022950773,0.0002924566,0.9971322,0.000015246295,0.0000072294447,3.009087e-7,0.0001024305,0.0009854521,0.00015694226,0.00034095705,0.0006770579,0.000060211834],"about_ca_topic_score_codex":0.0000034199566,"about_ca_topic_score_gemma":3.0132492e-7,"teacher_disagreement_score":0.09841627,"about_ca_system_score_codex":0.00003690929,"about_ca_system_score_gemma":0.0000020842592,"threshold_uncertainty_score":0.22710542},"labels":[],"label_agreement":null},{"id":"W2147302155","doi":"10.1002/wsb.266","title":"Opportunities and challenges to implementing bird conservation on private lands","year":2013,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ducks Unlimited Canada","funders":"U.S. Department of Agriculture","keywords":"Wildlife; Bird conservation; Business; Conservation Reserve Program; Wildlife conservation; Service (business); Environmental resource management; Environmental planning; North American Model of Wildlife Conservation; Natural resource; Agriculture; Public land; Habitat; Conservation biology; Geography; Ecology; Economics; Marketing","score_opus":0.167615785123745,"score_gpt":0.22234739366720516,"score_spread":0.05473160854346015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147302155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.872293,0.00064031116,0.0001558295,0.12021661,0.00008436426,0.00029914326,0.000023694089,0.000060110757,0.0062269475],"genre_scores_gemma":[0.964332,0.00790672,0.0027133645,0.023126338,0.00014926404,0.00014116449,0.000027094806,0.00004508968,0.0015589545],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909884,0.0000109103075,0.0003344399,0.00029323762,0.000030061965,0.00023252617],"domain_scores_gemma":[0.9995559,0.00004420139,0.00015309936,0.00015295332,0.000006963266,0.00008690424],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00046935756,0.0001203004,0.00018495986,0.000036497233,0.00014226315,0.00006492198,0.00007683805,0.00006592239,0.0012897846],"category_scores_gemma":[0.00002417366,0.00014090534,0.0000662788,0.000026773161,0.00004013889,0.000089221176,0.000080262864,0.000067728615,0.0021590693],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010503152,0.00010644835,0.5632314,0.00011335975,0.00013991463,5.8954237e-7,0.004622165,0.000060593135,0.00004401096,0.19999774,0.2211719,0.0105013475],"study_design_scores_gemma":[0.00038675233,0.000072580544,0.3201476,0.000014993821,0.000002975143,7.6114793e-7,0.0017146482,0.00039374697,0.000009851197,0.0021298246,0.6749347,0.0001915974],"about_ca_topic_score_codex":0.00024239742,"about_ca_topic_score_gemma":0.000006401228,"teacher_disagreement_score":0.45376277,"about_ca_system_score_codex":0.00006629,"about_ca_system_score_gemma":0.0000032107905,"threshold_uncertainty_score":0.9996232},"labels":[],"label_agreement":null},{"id":"W2148099194","doi":"10.22004/ag.econ.45732","title":"The Building Block Simulation Approach to Program Assessment: The Case of Agriculture Canada's Meat Hygiene Program, 1970-1984","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality assurance; Agriculture; Grading (engineering); Food security; Food safety; Business; Block (permutation group theory); Quality (philosophy); Computer science; Risk analysis (engineering); Environmental economics; Marketing; Engineering; Economics; Mathematics; Geography","score_opus":0.05918715500798528,"score_gpt":0.24174751135842895,"score_spread":0.18256035635044368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148099194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98708403,0.00015938049,0.00082621095,0.00054818694,0.00008606508,0.0009705929,0.00006538085,0.000011576482,0.010248563],"genre_scores_gemma":[0.99368703,0.00006755216,0.005002655,0.00002623962,0.000016013615,0.0000068494064,0.000018062161,0.000009511695,0.0011660706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998948,0.00007873896,0.00027641392,0.00032091187,0.00008198231,0.00029398676],"domain_scores_gemma":[0.9991138,0.00014847486,0.00025260437,0.00033228353,0.00005161191,0.00010125026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082858006,0.00012822513,0.00024276634,0.0000784156,0.00049418083,0.000039266255,0.00031372238,0.000073783405,0.00008171159],"category_scores_gemma":[0.000041691113,0.00011377388,0.00009679361,0.00029867157,0.00014453511,0.00019395078,0.00009450792,0.0001590299,0.00001632468],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011582545,0.0022860079,0.26488593,0.00033961833,0.0010138119,0.00013597227,0.008499467,0.2870982,0.00055022974,0.2728323,0.009195248,0.15304741],"study_design_scores_gemma":[0.0026744609,0.00080562144,0.5439624,0.0000440672,0.00011897059,0.00012636899,0.029468505,0.13983078,0.00064534415,0.0011531552,0.28019226,0.000978063],"about_ca_topic_score_codex":0.06648774,"about_ca_topic_score_gemma":0.07928627,"teacher_disagreement_score":0.2790765,"about_ca_system_score_codex":0.0002518749,"about_ca_system_score_gemma":0.0000712133,"threshold_uncertainty_score":0.9397286},"labels":[],"label_agreement":null},{"id":"W2148113290","doi":"10.1093/rheumatology/kev113","title":"Societal preferences for rheumatoid arthritis treatments: evidence from a discrete choice experiment","year":2015,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Arthritis Research Centre of Canada; Centre for Advancing Health Outcomes; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Preference; Confidence interval; Mixed logit; Life expectancy; Population; Willingness to pay; Discrete choice; Expectancy theory; Quality of life (healthcare); Quality-adjusted life year; Logistic regression; Demography; Cost effectiveness; Environmental health; Social psychology; Econometrics; Statistics; Economics; Psychology; Internal medicine","score_opus":0.16205534769516405,"score_gpt":0.27700576568241386,"score_spread":0.11495041798724981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148113290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97830135,0.0153880585,0.002858766,0.00032465204,0.0003726112,0.00040900247,0.00036252014,0.000034601908,0.0019484165],"genre_scores_gemma":[0.99309105,0.0024559996,0.003035364,0.00011665195,0.0001321056,0.00032041472,0.00015672776,0.00002150177,0.00067020743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885505,0.000014549929,0.00042144133,0.00043721643,0.000042836815,0.00022888959],"domain_scores_gemma":[0.99929595,0.00009495309,0.0002252766,0.000258267,0.000009141369,0.00011642377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002632893,0.00015580081,0.00030837776,0.000032897588,0.00008371821,0.000081475475,0.00017644356,0.00008236114,0.0003601073],"category_scores_gemma":[0.000086137574,0.00017282393,0.000118701064,0.000037479716,0.000051778752,0.0005402614,0.000060283517,0.000052249674,0.00070506084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007840458,0.00025307504,0.9747428,0.0000135140335,0.0003376847,0.0000013452328,0.0058301566,0.00029408096,0.00027225984,0.0047191177,0.006776157,0.006681387],"study_design_scores_gemma":[0.01014176,0.0013730886,0.7950528,0.0003474175,0.000045397308,0.0000054554903,0.003228509,0.010833919,0.0037859178,0.10227538,0.07124173,0.0016685775],"about_ca_topic_score_codex":0.0012942776,"about_ca_topic_score_gemma":0.00008010779,"teacher_disagreement_score":0.17968996,"about_ca_system_score_codex":0.00026483572,"about_ca_system_score_gemma":0.000018903007,"threshold_uncertainty_score":0.9062366},"labels":[],"label_agreement":null},{"id":"W2148181870","doi":"10.1108/9781849507738-011","title":"On Estimation of Hybrid Choice Models","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Discrete choice; Multinomial probit; Mixed logit; Multinomial logistic regression; Computer science; Multinomial distribution; Gibbs sampling; Econometrics; Bayesian probability; Flexibility (engineering); Representation (politics); Machine learning; Mathematical optimization; Artificial intelligence; Mathematics; Statistics; Logistic regression","score_opus":0.10282531635007283,"score_gpt":0.20621718848230663,"score_spread":0.1033918721322338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148181870","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009464013,0.00014946851,0.013012972,0.000065461085,0.0002812655,0.00018641927,0.0001912864,0.000018565195,0.97663057],"genre_scores_gemma":[0.50279963,0.00019524213,0.0023295567,0.00021374474,0.00007594464,0.00000936962,0.00019578716,0.00005705871,0.49412364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989805,0.0000012295442,0.0005693171,0.00032271192,0.000028562597,0.00009767306],"domain_scores_gemma":[0.9990394,0.00004929688,0.00053090364,0.00033507412,0.000005598355,0.000039718183],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017781553,0.00017550736,0.00036980226,0.00015767173,0.000031611246,0.0000126006325,0.00012677313,0.00016164439,0.006735194],"category_scores_gemma":[0.000016128191,0.00021308594,0.00012852125,0.0000057527327,0.00005554317,0.00014995116,0.000033332788,0.00020949707,0.0030503585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028547151,0.000015764852,0.00006511729,0.000013577073,0.000025635662,2.0788718e-7,0.000010015294,0.007905792,0.0000021526487,0.9899635,0.0004400279,0.0015553648],"study_design_scores_gemma":[0.00022686842,0.00005865171,0.00036890924,0.000022796243,0.000009141015,0.0000011728405,6.5589296e-7,0.052085966,0.00015124309,0.93626213,0.0105631435,0.0002492951],"about_ca_topic_score_codex":0.00006191651,"about_ca_topic_score_gemma":0.000008494987,"teacher_disagreement_score":0.49333563,"about_ca_system_score_codex":0.00009686662,"about_ca_system_score_gemma":0.000006963377,"threshold_uncertainty_score":0.9977259},"labels":[],"label_agreement":null},{"id":"W2148518531","doi":"10.1007/s40271-014-0077-9","title":"Constant-Sum Paired Comparisons for Eliciting Stated Preferences: A Tutorial","year":2014,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency; University of British Columbia; Capital District Health Authority","funders":"","keywords":"Task (project management); Preference; Value (mathematics); Constant (computer programming); Relative value; Resource (disambiguation); Social preferences; Presentation (obstetrics); Function (biology); Interpretation (philosophy); Forcing (mathematics); Computer science; Microeconomics; Operations research; Economics; Mathematics","score_opus":0.1510931204251792,"score_gpt":0.22312783765278932,"score_spread":0.07203471722761012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148518531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95264256,0.00009083952,0.031211622,0.00009507566,0.00085643906,0.00039407072,0.00023510568,0.00003620715,0.014438064],"genre_scores_gemma":[0.9973073,0.000012916602,0.0021335555,0.00014326882,0.00011566047,0.000091202586,0.00011394789,0.000013496003,0.000068645626],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901587,0.000015842808,0.00048335243,0.00026040248,0.000022540244,0.00020196814],"domain_scores_gemma":[0.99940515,0.00009271505,0.00029319557,0.00014324306,0.000010222572,0.000055450586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002927784,0.00009891042,0.00023237466,0.000049710936,0.000105032166,0.000032881886,0.00007587919,0.000049776438,0.0002175626],"category_scores_gemma":[0.000092110466,0.000114373404,0.00006337892,0.000035387853,0.00003693927,0.00009100646,0.0000275359,0.00004750597,0.00028417347],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001304068,0.00043777344,0.6587847,0.000080395635,0.00014677068,2.5217025e-7,0.0032368437,0.0034803476,0.00015266114,0.28545526,0.012754471,0.035340145],"study_design_scores_gemma":[0.00666035,0.0018638215,0.117648564,0.00008104682,0.000043637614,0.000001847924,0.0015216016,0.28248382,0.0012343087,0.13351949,0.45352617,0.0014153621],"about_ca_topic_score_codex":0.00011008038,"about_ca_topic_score_gemma":0.000021113556,"teacher_disagreement_score":0.5411361,"about_ca_system_score_codex":0.000111457695,"about_ca_system_score_gemma":0.000007485468,"threshold_uncertainty_score":0.46640122},"labels":[],"label_agreement":null},{"id":"W2148549798","doi":"10.22004/ag.econ.36403","title":"JAPANESE MILLERS' PREFERENCES FOR WHEAT AND FLOUR: A STATED PREFERENCE ANALYSIS","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Manitoba","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Wheat flour; Multinomial logistic regression; Falling Number; Preference; Agricultural science; Mathematics; Food science; Business; Statistics; Biology","score_opus":0.11976129546966229,"score_gpt":0.21633502902998852,"score_spread":0.09657373356032624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148549798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917438,0.0002685164,0.00036914935,0.00024772497,0.000021594167,0.00025874123,0.0003722729,0.000010497633,0.006707696],"genre_scores_gemma":[0.9884066,0.0016348729,0.0010718601,0.000026554248,0.00001011725,0.0000017939163,0.00009966888,0.0000072367907,0.008741318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906766,0.00002724399,0.00022123003,0.00040845192,0.00004209051,0.00023329088],"domain_scores_gemma":[0.9994548,0.00008488827,0.00011589498,0.00021727913,0.000020331703,0.00010678702],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040200847,0.000115002025,0.00037114447,0.00026501596,0.00016086613,0.000023307839,0.00020556407,0.00008626095,0.008527672],"category_scores_gemma":[0.000010186934,0.00015393036,0.0001248536,0.00022601255,0.00016901319,0.00040353803,0.000048898946,0.00007408807,0.00030913285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043092656,0.00035222835,0.9235617,0.00019979695,0.0017607373,0.000006704185,0.02507617,0.003311182,0.00022884825,0.002963527,0.0020781814,0.040030003],"study_design_scores_gemma":[0.0015038179,0.00026057137,0.964924,0.000011945151,0.00012728419,0.0000013010817,0.0045673847,0.021624047,0.00005611784,0.0010712417,0.005536149,0.00031614173],"about_ca_topic_score_codex":0.002503028,"about_ca_topic_score_gemma":0.0011285271,"teacher_disagreement_score":0.041362304,"about_ca_system_score_codex":0.0000660502,"about_ca_system_score_gemma":0.000012132143,"threshold_uncertainty_score":0.99237865},"labels":[],"label_agreement":null},{"id":"W2149212721","doi":"10.5539/jsd.v3n3p212","title":"Factors Influencing the Willingness to Pay for Entrance Permit: The Evidence from Taman Negara National Park","year":2010,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Willingness to pay; National park; Nationality; Recreation; Marital status; Economics; Business; Actuarial science; Socioeconomics; Geography; Political science; Demography; Microeconomics; Sociology","score_opus":0.08059811754413447,"score_gpt":0.2397814884704481,"score_spread":0.15918337092631363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149212721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922792,0.00031178727,0.003990337,0.0024262664,0.00047085944,0.00033970835,0.000009254507,0.0000035413918,0.00016908451],"genre_scores_gemma":[0.9968623,0.000049547223,0.0016452214,0.0004938396,0.00021205084,0.000039905266,0.0000030976887,0.000012828986,0.0006812393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987507,0.000013255383,0.0007009539,0.00017366772,0.00010375759,0.00025768395],"domain_scores_gemma":[0.99880546,0.00029880507,0.00055527466,0.00013689812,0.00012823568,0.00007532264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018319637,0.00012414549,0.00020985655,0.00007706262,0.00038294517,0.00012664498,0.00041014104,0.0000531916,0.00012615349],"category_scores_gemma":[0.00047688192,0.00007433411,0.00008964833,0.00010514963,0.000037374313,0.00046456524,0.000060143168,0.0002344088,0.000028040718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005931936,0.000069287715,0.9475407,0.000036184967,0.00015691611,0.0000030982915,0.023004152,0.0059234016,0.0003701023,0.018335175,0.0026028587,0.0018988337],"study_design_scores_gemma":[0.00023015571,0.000029438164,0.88861054,0.000023234217,0.0000066907446,0.0000021797534,0.0046937163,0.00021352642,0.0007617549,0.0073939017,0.09790254,0.00013232211],"about_ca_topic_score_codex":0.000059042803,"about_ca_topic_score_gemma":0.000024845942,"teacher_disagreement_score":0.095299676,"about_ca_system_score_codex":0.00046677818,"about_ca_system_score_gemma":0.00019675192,"threshold_uncertainty_score":0.30312568},"labels":[],"label_agreement":null},{"id":"W2149259563","doi":"10.1002/agr.20006","title":"Consumer response to functional foods produced by conventional, organic, or genetic manipulation","year":2004,"lang":"en","type":"article","venue":"Agribusiness","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"","keywords":"EconLit; Functional food; Marketing; Logit; Business; Genetically modified food; Agribusiness; Health claims on food labels; Profit (economics); Food industry; Genetically modified organism; Agricultural science; Economics; Food science; MEDLINE; Microeconomics; Agriculture; Biology; Econometrics","score_opus":0.09375961594263174,"score_gpt":0.21854911565683197,"score_spread":0.12478949971420022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149259563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96298766,0.00025208655,0.033346474,0.0023641195,0.00047426176,0.0003168492,0.000080885424,0.000033315177,0.00014436811],"genre_scores_gemma":[0.99640834,0.00003226783,0.0010580916,0.00055662653,0.00009942678,0.000056573503,0.00014966,0.000025681918,0.0016133519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892217,0.000015168468,0.0004269315,0.00040392156,0.00004580922,0.00018598072],"domain_scores_gemma":[0.9994967,0.00003042652,0.00015849275,0.00021475034,0.000026764343,0.0000728739],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003270651,0.00013372202,0.0001877779,0.00008126579,0.00011406596,0.000044192166,0.00009509639,0.00007545255,0.0029449617],"category_scores_gemma":[0.000105725034,0.0001442653,0.000043416727,0.000205738,0.0000334927,0.00020985128,0.000042412725,0.000054251435,0.0035624148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030975584,0.0015434943,0.7720539,0.00012682818,0.0003956815,0.00001792931,0.0006005548,0.03133273,0.10969699,0.04546372,0.033714905,0.0019557318],"study_design_scores_gemma":[0.001307995,0.00007918574,0.9774323,0.00001066954,0.000008564343,0.000011515927,0.000021014288,0.0001050497,0.002155857,0.002646493,0.015958756,0.00026260872],"about_ca_topic_score_codex":0.00006283728,"about_ca_topic_score_gemma":0.000016737433,"teacher_disagreement_score":0.20537841,"about_ca_system_score_codex":0.0003137253,"about_ca_system_score_gemma":0.00003790895,"threshold_uncertainty_score":0.99796647},"labels":[],"label_agreement":null},{"id":"W2149688379","doi":"10.1525/bio.2013.63.9.8","title":"A Tale of Two Acts: Endangered Species Listing Practices in Canada and the United States","year":2013,"lang":"en","type":"article","venue":"BioScience","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Directorate for Biological Sciences","keywords":"Endangered species; Listing (finance); Transparency (behavior); Warrant; CLARITY; Biodiversity; Socioeconomic status; Environmental resource management; Business; Political science; Geography; Ecology; Law; Economics; Biology; Sociology; Population","score_opus":0.10474739651061657,"score_gpt":0.2252272105708166,"score_spread":0.12047981406020003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149688379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648046,0.00021649747,0.00003460826,0.0007535392,0.00006255854,0.00010520399,0.000019805186,0.0000016851112,0.0023256545],"genre_scores_gemma":[0.999158,0.0002330926,0.00018316323,0.00020844296,0.000007485393,0.00000859995,0.0000036428335,0.000002186298,0.00019535942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995136,0.000012382125,0.00022072492,0.00013170796,0.00002123837,0.00010030734],"domain_scores_gemma":[0.99937475,0.00014096613,0.00036943366,0.00008887441,0.000004808115,0.000021195461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003819642,0.000042343887,0.00010129718,0.00005217326,0.000043999753,0.000033491044,0.00010924106,0.000008662067,0.00014605914],"category_scores_gemma":[0.00021584364,0.000035058736,0.000008256449,0.00013458781,0.0001734043,0.00024602134,0.00004376464,0.000034950284,0.00001421787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002615698,0.000009370089,0.9848261,0.0000064044434,0.0000029079338,1.9378247e-7,0.00073152833,0.00026905228,0.00019650857,0.013706557,0.00006170161,0.00018705959],"study_design_scores_gemma":[0.00037173342,0.000008404833,0.96896935,0.00000581672,0.0000010531094,7.8689703e-7,0.0010372782,0.025488034,0.0002687524,0.0022936838,0.0014936994,0.000061438004],"about_ca_topic_score_codex":0.9218359,"about_ca_topic_score_gemma":0.4658069,"teacher_disagreement_score":0.456029,"about_ca_system_score_codex":0.000118872675,"about_ca_system_score_gemma":0.000029951814,"threshold_uncertainty_score":0.5439407},"labels":[],"label_agreement":null},{"id":"W2149939780","doi":"10.1093/forestry/cps049","title":"The social benefits of increasing protected natural areas: an Eastern Canadian case study using the contingent valuation method","year":2012,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick; University of Guelph","funders":"","keywords":"Contingent valuation; Willingness to pay; Scope (computer science); Valuation (finance); Context (archaeology); Cost–benefit analysis; Agricultural economics; Natural resource economics; Business; Geography; Economics; Ecology; Microeconomics","score_opus":0.3086724046380238,"score_gpt":0.40453796489251703,"score_spread":0.09586556025449322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149939780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979378,0.00029292286,0.0004968935,0.00022810901,0.00049777963,0.0003777523,0.00003135809,0.0000022654845,0.00013512906],"genre_scores_gemma":[0.99843925,0.000013634397,0.00066423346,0.000016853508,0.0008012431,0.000012769571,0.000011322101,0.000015734207,0.000024977318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980546,0.0004616294,0.00071923,0.00014233668,0.00029536098,0.00032680068],"domain_scores_gemma":[0.9984682,0.00021593468,0.0006382797,0.00017701929,0.00034677016,0.00015378956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009362197,0.00009987279,0.00017790872,0.00030783826,0.00062650285,0.00018561249,0.0005645703,0.00006519358,0.000039265204],"category_scores_gemma":[0.000398919,0.000075504504,0.0000865494,0.00013307837,0.0001270514,0.0009712326,0.00008291656,0.00043163475,0.0000070586643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100592,0.00017815444,0.9813393,0.0000025611926,0.00014148392,0.000016268032,0.004140213,0.0020882268,0.000010905759,0.008469528,0.0000046220325,0.0035081937],"study_design_scores_gemma":[0.0005521215,0.00021493906,0.964009,0.000017040686,0.000013852389,0.0006259281,0.009043051,0.022873648,0.00002938846,0.0024460035,0.000090282054,0.00008473381],"about_ca_topic_score_codex":0.064046405,"about_ca_topic_score_gemma":0.018679256,"teacher_disagreement_score":0.04536715,"about_ca_system_score_codex":0.00055450987,"about_ca_system_score_gemma":0.00013861839,"threshold_uncertainty_score":0.9992273},"labels":[],"label_agreement":null},{"id":"W2150234475","doi":"10.1111/1541-0064.t01-1-00001","title":"Questioning the credibility and capacity of community‐based resource management","year":2003,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Credibility; Devolution (biology); Natural resource management; Resource management (computing); Natural resource; Resource (disambiguation); Business; Environmental resource management; Local community; Ecosystem management; Environmental planning; Political science; Sociology; Geography; Economics; Computer science; Ecology; Law","score_opus":0.046992799901843525,"score_gpt":0.18296150244388443,"score_spread":0.1359687025420409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150234475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776256,0.001371321,0.00004479528,0.0006124287,0.00014279621,0.0002714642,0.00018333431,0.000017667091,0.01973056],"genre_scores_gemma":[0.99850035,0.00031334278,0.00033851294,0.00065508776,0.000011170225,0.000041801064,0.000033436852,0.000018248162,0.00008808144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871945,0.00012188594,0.0004516568,0.00025055025,0.000036121626,0.00042032744],"domain_scores_gemma":[0.99881,0.00011722802,0.00020895508,0.0005673448,0.000017915514,0.00027856033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012502192,0.00018397682,0.00027582588,0.0010215378,0.0007420697,0.000050474056,0.00025527956,0.000086270455,0.0000889097],"category_scores_gemma":[0.00007222645,0.00019368295,0.00012533108,0.00085750234,0.001278393,0.00012521223,0.000026808022,0.00021274998,0.0000059668637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029277262,0.000019241414,0.6905295,0.00005842446,0.000081379636,0.0000011098283,0.0008354803,0.00016368255,0.0000013239678,0.3070508,0.00075181713,0.00050428044],"study_design_scores_gemma":[0.0003353188,0.00006341547,0.89386797,0.00002294608,0.00002593188,0.000006103408,0.0070181685,0.00005727058,0.000018980014,0.033390034,0.064919226,0.00027462334],"about_ca_topic_score_codex":0.36727202,"about_ca_topic_score_gemma":0.7603672,"teacher_disagreement_score":0.3930952,"about_ca_system_score_codex":0.00010313292,"about_ca_system_score_gemma":0.000017385293,"threshold_uncertainty_score":0.78981614},"labels":[],"label_agreement":null},{"id":"W2150332422","doi":"10.22230/jem.2004v4n2a278","title":"Human Dimensions of Biodiversity Conservation in the Interior Forests of British Columbia","year":2004,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Northwest Territories; Canadian Forest Service","funders":"","keywords":"Biodiversity; Environmental resource management; Biodiversity conservation; Geography; Ecosystem; Forest management; Measurement of biodiversity; Perception; Ecosystem services; Environmental planning; Ecology; Environmental science; Forestry; Psychology; Biology","score_opus":0.05002234822932402,"score_gpt":0.1975522312917429,"score_spread":0.14752988306241888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150332422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986006,0.00029829366,0.00018267761,0.0001717168,0.00009757242,0.00014758628,0.000032457407,6.1989294e-7,0.00046845127],"genre_scores_gemma":[0.9993327,0.00040532087,0.00011840807,0.00006222614,0.000008746845,0.0000017765218,0.0000020414052,0.0000017634869,0.000066972105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993128,0.0000104081155,0.0005349509,0.0000639965,0.000026662106,0.000051193285],"domain_scores_gemma":[0.99931556,0.000007478245,0.00058533566,0.00006768659,0.000009712792,0.000014251803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006385794,0.000030002022,0.00018491349,0.00006693733,0.000030273952,0.000022385777,0.00007985884,0.000020562722,0.000027712327],"category_scores_gemma":[0.000004126342,0.000034791985,0.000047768357,0.000043929198,0.00002562838,0.00011744749,0.000032788186,0.00003456567,0.0000028005184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004561007,0.000116014424,0.9906038,0.00014432965,0.00006958415,0.000008122104,0.00036306094,0.00031097932,0.000032157644,0.0043746973,0.0037369472,0.00023574274],"study_design_scores_gemma":[0.0009501351,0.00013425265,0.9918348,0.0001251885,0.000012694705,0.000011118968,0.0006446051,0.000062693274,0.0000038216635,0.0035596346,0.0026182514,0.00004279926],"about_ca_topic_score_codex":0.01014496,"about_ca_topic_score_gemma":0.034096625,"teacher_disagreement_score":0.023951665,"about_ca_system_score_codex":0.000057735713,"about_ca_system_score_gemma":0.0000025552688,"threshold_uncertainty_score":0.99644655},"labels":[],"label_agreement":null},{"id":"W2151423604","doi":"10.1016/j.jue.2011.12.004","title":"Do city climate plans reduce emissions?","year":2011,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Greenhouse gas; Business; Climate change; Environmental planning; Natural resource economics; Climate change mitigation; Environmental resource management; Environmental science; Economics","score_opus":0.17463935632957886,"score_gpt":0.2276967664832074,"score_spread":0.053057410153628554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151423604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550449,0.0007205083,0.00039705206,0.0001505052,0.0008763218,0.00007448119,0.000097463475,0.000008394765,0.042630337],"genre_scores_gemma":[0.9941605,0.0019014919,0.0029884968,0.00020226755,0.00028320213,0.000002273371,0.000004859345,0.000026103431,0.0004308026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828744,0.000012920502,0.0012042787,0.00022268263,0.000017280718,0.0002553696],"domain_scores_gemma":[0.99819237,0.00002946369,0.0013337941,0.00026009115,0.000014274199,0.00016999699],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00095011125,0.00014907478,0.00043751506,0.00019483476,0.00008645841,0.000044219996,0.00030556924,0.000112535345,0.002015621],"category_scores_gemma":[0.000043854514,0.00016854866,0.00021438334,0.000043160304,0.0000610431,0.0005678935,0.00006231991,0.00020719033,0.0005343195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007219185,0.00015898429,0.9376337,0.000009659789,0.0000998371,0.0000048118927,0.0011163183,0.00015748186,0.000019586245,0.056114115,0.0036450932,0.00096822466],"study_design_scores_gemma":[0.0019432358,0.0003960039,0.8855258,0.000045012584,0.000041296327,0.00015887366,0.00067748176,0.0008113293,0.0009131254,0.062365286,0.046509728,0.0006128163],"about_ca_topic_score_codex":0.00001908937,"about_ca_topic_score_gemma":0.0000040068626,"teacher_disagreement_score":0.052107885,"about_ca_system_score_codex":0.00027616473,"about_ca_system_score_gemma":0.000026253458,"threshold_uncertainty_score":0.99889666},"labels":[],"label_agreement":null},{"id":"W2151763352","doi":"10.1111/j.1937-5956.2007.tb00294.x","title":"Compliance Strategies under Permits for Emissions","year":2007,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University; U.S. Environmental Protection Agency","keywords":"Cournot competition; Common value auction; Bidding; Microeconomics; Marginal value; Profit (economics); Economics; Industrial organization; Competition (biology); Market power; Function (biology); Value (mathematics); Business; Computer science; Monopoly","score_opus":0.17819056956057155,"score_gpt":0.2831094789180543,"score_spread":0.10491890935748277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151763352","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34216654,0.00086548465,0.59151775,0.006148047,0.0009947611,0.0012128253,0.000027173304,0.00006880832,0.056998596],"genre_scores_gemma":[0.9798455,0.00027191752,0.0081601525,0.00022867553,0.00009810394,0.00006455609,0.000028767097,0.000008426159,0.011293859],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993656,0.0000027798071,0.00024064246,0.0002637513,0.000014591456,0.00011260559],"domain_scores_gemma":[0.99978334,0.0000057166253,0.000041920586,0.00012521842,0.000009607428,0.00003418111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038833747,0.00006589025,0.00008225474,0.00008247888,0.00026984824,0.00006996359,0.000040490308,0.000022417984,0.0001393591],"category_scores_gemma":[0.000011197024,0.00007579116,0.000022839196,0.000055438923,0.00003293938,0.00027621462,0.000021940923,0.000029793153,0.00010032019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056169542,0.00007363,0.004427111,0.000036571513,0.00003265166,9.531226e-8,0.00024215967,0.0092106955,0.00008913881,0.98125386,0.0012623077,0.003366141],"study_design_scores_gemma":[0.0012848479,0.00013760688,0.7333883,0.000053919306,0.00004491146,0.000007885409,0.010364672,0.01503187,0.0005770463,0.08364882,0.15470226,0.000757843],"about_ca_topic_score_codex":0.000011777395,"about_ca_topic_score_gemma":0.000044874134,"teacher_disagreement_score":0.89760506,"about_ca_system_score_codex":0.000061655235,"about_ca_system_score_gemma":0.0000026610949,"threshold_uncertainty_score":0.3090674},"labels":[],"label_agreement":null},{"id":"W2151765473","doi":"10.1111/cjag.12013","title":"Including Management Policy Options in Discrete Choice Experiments: A Case Study of the Great Barrier Reef","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Queensland Government","keywords":"Great barrier reef; Scope (computer science); Certainty; Choice modelling; Environmental resource management; Greenhouse gas; Environmental economics; Quality (philosophy); Discrete choice; Reef; Business; Risk analysis (engineering); Computer science; Economics; Econometrics; Fishery; Mathematics; Marketing","score_opus":0.08420998928386507,"score_gpt":0.20942856831651968,"score_spread":0.1252185790326546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151765473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99394786,0.00028545794,0.0000033724264,0.0013668553,0.00074743887,0.000832537,0.000116690324,0.000003375301,0.0026964357],"genre_scores_gemma":[0.99806345,0.00006913537,0.00011465426,0.00019942588,0.00026002782,0.000075553464,0.000008161465,0.000027255857,0.001182334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99717396,0.000048595746,0.0017237748,0.00042366754,0.000010580634,0.00061942387],"domain_scores_gemma":[0.99755377,0.00005512631,0.0012298182,0.0004325718,0.000042074473,0.0006866657],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004635504,0.00029891872,0.0006770391,0.0006597906,0.0002690836,0.00013526833,0.00062388286,0.00010947107,0.0006934126],"category_scores_gemma":[0.00006559154,0.00026591646,0.0002559636,0.00024135222,0.000118425676,0.0010098036,0.000097092765,0.0002709162,0.00007731791],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000132518435,0.00016012492,0.90603983,0.000056626977,0.00064167794,0.00017865168,0.0114758015,0.023871608,0.000031650277,0.05533125,0.00093067955,0.0012688732],"study_design_scores_gemma":[0.0018304127,0.00026467408,0.96536964,0.00006002189,0.00003309768,0.0006866702,0.024852468,0.0003059427,0.000018855408,0.0037903595,0.002325822,0.00046204234],"about_ca_topic_score_codex":0.32738557,"about_ca_topic_score_gemma":0.7106916,"teacher_disagreement_score":0.383306,"about_ca_system_score_codex":0.0038395408,"about_ca_system_score_gemma":0.00014202304,"threshold_uncertainty_score":0.99998456},"labels":[],"label_agreement":null},{"id":"W2151768136","doi":"10.1111/cag.12138","title":"Economic value of Greater Montreal's non‐market ecosystem services in a land use management and planning perspective","year":2014,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"David Suzuki Foundation","keywords":"Ecosystem services; Recreation; Business; Woodland; Goods and services; Monetization; Land use; Environmental resource management; Biodiversity; Geography; Ecosystem; Environmental planning; Ecology; Economics; Economy","score_opus":0.012562157811352337,"score_gpt":0.16421071866371356,"score_spread":0.15164856085236122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151768136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842279,0.0010821122,0.0000077087825,0.00012906156,0.00025344064,0.00032931115,0.00041348228,0.000014155583,0.0135428365],"genre_scores_gemma":[0.9984911,0.0008829244,0.0001480218,0.00013829517,0.00004338039,0.000054652373,0.000031464075,0.000031953776,0.00017817048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982685,0.000030474259,0.00055594044,0.00057440787,0.000027427823,0.0005432556],"domain_scores_gemma":[0.999011,0.000056847206,0.00025034283,0.00034171363,0.000014213583,0.0003259163],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038633274,0.0002649695,0.0005036572,0.002837674,0.00014161486,0.00008916003,0.00021317333,0.00011853138,0.00007723997],"category_scores_gemma":[0.000010240441,0.0003249592,0.00011884904,0.00044582158,0.00021614874,0.000387651,0.00004839413,0.00009350357,0.000013608632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012789254,0.000007860276,0.97418225,0.000087641565,0.00013401735,0.000009456424,0.0017720918,0.0006888377,1.9063323e-7,0.022658177,0.00021024393,0.00023642965],"study_design_scores_gemma":[0.0006084308,0.000058386177,0.9824642,0.000085539505,0.00002080199,0.0000068976587,0.005723363,0.0025971197,0.0000016693925,0.0058600716,0.0022428494,0.00033066663],"about_ca_topic_score_codex":0.7610154,"about_ca_topic_score_gemma":0.9646264,"teacher_disagreement_score":0.20361091,"about_ca_system_score_codex":0.000268018,"about_ca_system_score_gemma":0.000012648166,"threshold_uncertainty_score":0.99992025},"labels":[],"label_agreement":null},{"id":"W2152014192","doi":"10.1016/j.fishres.2011.03.023","title":"The elasticity of fishing effort response and harvest outcomes to altered regulatory policies in eel (Anguilla anguilla) recreational angling","year":2011,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Bundesministerium für Bildung und Forschung","keywords":"Fishing; Recreational fishing; Fishery; Recreation; Welfare; Business; Fisheries management; Anguillidae; Economics; Ecology; Fish <Actinopterygii>; Biology","score_opus":0.2774364343678637,"score_gpt":0.3055597656923766,"score_spread":0.02812333132451289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152014192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918612,0.000252339,0.000020732348,0.0009951941,0.00009473099,0.00023698507,0.00005638523,0.0000073418037,0.0064750626],"genre_scores_gemma":[0.99822783,0.00013427273,0.00041506084,0.00006561437,0.000035813,0.000045359066,0.000006196923,0.000015329597,0.0010545339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988091,0.000084895684,0.0004642472,0.00025725085,0.00008641613,0.00029810896],"domain_scores_gemma":[0.9990469,0.0004508528,0.00010855928,0.00028652465,0.000030764564,0.00007635607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002441309,0.00009284783,0.00022192922,0.00022805584,0.00021134022,0.000070851114,0.00021820696,0.00006790701,0.00020919752],"category_scores_gemma":[0.00087587425,0.0000879149,0.000039643906,0.00015495387,0.00028781214,0.00022702277,0.00019989749,0.00015031904,0.000041220257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017901909,0.000023035538,0.98980725,0.000011483318,0.0000149891775,6.4023607e-7,0.0024673746,0.0000241506,0.000051511663,0.0064420877,0.0005494793,0.00042896753],"study_design_scores_gemma":[0.00022411208,0.0000984126,0.99442863,0.000016329053,9.343237e-7,8.824722e-7,0.0006923797,0.00020198485,0.0002440136,0.0024224105,0.0015782665,0.00009164969],"about_ca_topic_score_codex":0.0014155086,"about_ca_topic_score_gemma":0.0006798083,"teacher_disagreement_score":0.0063665905,"about_ca_system_score_codex":0.00017396266,"about_ca_system_score_gemma":0.000025500012,"threshold_uncertainty_score":0.35850656},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2152289132","doi":"10.1111/j.1744-7976.2012.01260.x","title":"U.S. Consumers’ Preference and Willingness to Pay for Country‐of‐Origin‐Labeled Beef Steak and Food Safety Enhancements","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Agricultural science; Willingness to pay; Welfare economics; Geography; Business; Agricultural economics; Economics; Biology; Microeconomics","score_opus":0.08763878820991296,"score_gpt":0.1801181835801511,"score_spread":0.09247939537023815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152289132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331987,0.002191805,0.00014707164,0.00079918344,0.0012008552,0.0005334893,0.0013248231,0.0000035370244,0.00047937033],"genre_scores_gemma":[0.99764556,0.00063103955,0.00077154447,0.00025896024,0.00027275967,0.00002806157,0.00006496127,0.00002648339,0.0003006177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759036,0.000016029959,0.0012972967,0.00037104852,0.000007779971,0.00071750785],"domain_scores_gemma":[0.99722904,0.00011557944,0.0010291149,0.00018129894,0.00006167404,0.001383307],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074273936,0.00029225493,0.00081542967,0.00023364082,0.00019914475,0.00008604679,0.00026554818,0.00014602013,0.00016997324],"category_scores_gemma":[0.000091974325,0.00028030292,0.000117097756,0.00007618241,0.00012126223,0.0008349752,0.000033678243,0.00015951258,0.000023694856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006921908,0.00003671811,0.8807108,0.00013408228,0.00045353535,7.726177e-7,0.003021783,0.00054078246,0.00008368046,0.11142458,0.0005616974,0.0029623748],"study_design_scores_gemma":[0.0016317494,0.0006435903,0.9381645,0.00007190525,0.0000700644,0.00008825941,0.0012134417,0.00008588047,0.00015199858,0.0033147528,0.053951763,0.0006121421],"about_ca_topic_score_codex":0.0053010923,"about_ca_topic_score_gemma":0.12949681,"teacher_disagreement_score":0.124195725,"about_ca_system_score_codex":0.0011331039,"about_ca_system_score_gemma":0.00014690822,"threshold_uncertainty_score":0.9999649},"labels":[],"label_agreement":null},{"id":"W2152600854","doi":"10.1016/j.beproc.2014.08.015","title":"Individual differences in decision making by foraging hummingbirds","year":2014,"lang":"en","type":"article","venue":"Behavioural Processes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Foraging; Preference; Context (archaeology); Choice set; Set (abstract data type); Optimal foraging theory; Consistency (knowledge bases); Psychology; Biology; Ecology; Economics; Computer science; Econometrics; Microeconomics; Artificial intelligence","score_opus":0.12794008456791023,"score_gpt":0.2514050041915118,"score_spread":0.12346491962360157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152600854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924619,0.0010358739,0.0047824644,0.00007729024,0.000121438636,0.000098848825,0.000036338453,0.000025917214,0.0013599213],"genre_scores_gemma":[0.9988202,0.00006189475,0.00079008966,0.00012091601,0.000028433065,0.000027952616,0.000027205688,0.000016380764,0.00010693834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899125,0.00000846248,0.000425964,0.00031368967,0.00004234495,0.00021827072],"domain_scores_gemma":[0.9995724,0.00007393541,0.00019958915,0.00011394843,0.0000060865023,0.00003405154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039184213,0.00012314583,0.00023001993,0.00011822237,0.00008525208,0.00009337205,0.00019984502,0.00006994876,0.00025164298],"category_scores_gemma":[0.0001184976,0.00013604823,0.000030354437,0.00012237564,0.00003696109,0.00037747287,0.00006099133,0.00009688731,0.00015954097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036230745,0.0000453086,0.9907488,0.000015551945,0.0000028057573,2.7801903e-7,0.00024437008,0.0000144797,0.0000042485076,0.0009982965,0.0002717193,0.0076505123],"study_design_scores_gemma":[0.00036343723,0.00004527438,0.9849442,0.000055084,0.000004737912,0.0000015322001,0.00013804901,0.00058304396,0.0000883785,0.013127243,0.000428376,0.00022063861],"about_ca_topic_score_codex":0.00012246276,"about_ca_topic_score_gemma":0.00006435641,"teacher_disagreement_score":0.012128947,"about_ca_system_score_codex":0.00007254875,"about_ca_system_score_gemma":0.0000069148036,"threshold_uncertainty_score":0.55478853},"labels":[],"label_agreement":null},{"id":"W2152748641","doi":"10.1002/atr.5670350103","title":"Value of travel time: An activity‐based analysis with combined RP and SP data","year":2001,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Council","keywords":"Value (mathematics); Value of time; Travel time; Econometrics; Statistics; Shadow (psychology); Mathematics; Economics; Transport engineering; Engineering; Psychology","score_opus":0.04910625383049762,"score_gpt":0.235421607162963,"score_spread":0.1863153533324654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152748641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95820636,0.000106185,0.04127046,0.000104103725,0.000029618914,0.00007086446,0.00011207813,0.0000025361041,0.000097768374],"genre_scores_gemma":[0.9914589,0.00017370397,0.008115561,0.00002557026,0.000016045142,9.447502e-7,0.00017279292,0.0000096759,0.000026800431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920404,0.000010785908,0.00048945076,0.00017086316,0.000046595294,0.00007827817],"domain_scores_gemma":[0.9989182,0.000026355532,0.0007840157,0.0001965052,0.000019559166,0.000055408338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033371552,0.00008204024,0.0003494262,0.00021440025,0.000028639855,0.000009673198,0.00011118536,0.000036330617,0.00010861897],"category_scores_gemma":[0.0000063645116,0.000083718674,0.000054366177,0.00018724975,0.000038612954,0.00090539304,0.0000017678335,0.00006838214,0.0000025745737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006186706,0.0003250139,0.7496611,0.000022519313,0.00037598124,0.0000066550797,0.00048375924,0.2417068,0.0021242155,0.0012036839,0.0000041694934,0.0034674276],"study_design_scores_gemma":[0.0015613938,0.00038932628,0.97831285,0.000010705799,0.00018075576,0.0000019248534,0.000109167115,0.018194087,0.0004162305,0.0006791494,0.00005021224,0.00009417788],"about_ca_topic_score_codex":0.000035140514,"about_ca_topic_score_gemma":0.00006483787,"teacher_disagreement_score":0.22865176,"about_ca_system_score_codex":0.00003304997,"about_ca_system_score_gemma":0.000013196063,"threshold_uncertainty_score":0.34139484},"labels":[],"label_agreement":null},{"id":"W2153001119","doi":"10.1111/j.1523-1739.2009.01207.x","title":"A Cross‐National Analysis of How Economic Inequality Predicts Biodiversity Loss","year":2009,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Biodiversity; Inequality; Geography; Ecology; Biology; Mathematics","score_opus":0.14297633785338024,"score_gpt":0.2657850289525283,"score_spread":0.12280869109914808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153001119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907196,0.00009083532,0.003010985,0.0032612858,0.00012625665,0.000088232635,0.0009980033,0.000016127802,0.0016886534],"genre_scores_gemma":[0.9977797,0.000058236597,0.0002660821,0.0010360181,0.000027030383,0.0000036250344,0.00069340057,0.000001933673,0.00013397259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912596,0.00002581706,0.0004253596,0.00028740076,0.000016678065,0.000118769094],"domain_scores_gemma":[0.9992521,0.000057984635,0.00046768622,0.0001594823,0.000027572292,0.000035188503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005905194,0.00008586834,0.00032400183,0.00028324075,0.00006012249,0.000018522967,0.00012895788,0.000119795266,0.00070298155],"category_scores_gemma":[0.00008477145,0.000106781335,0.00012655926,0.00016372967,0.00013303618,0.00021195342,0.000026265689,0.00004606309,0.00018805517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001201994,0.000032685675,0.9260057,0.000002081789,0.0001529031,7.564847e-8,0.000057329864,0.0006200464,0.000043742457,0.07250599,0.00042959087,0.00013781704],"study_design_scores_gemma":[0.00038582375,0.000052908363,0.9737131,7.077051e-7,0.000027435759,2.7213113e-7,0.0000105037225,0.009206128,0.000075600736,0.013930202,0.0024968463,0.00010044535],"about_ca_topic_score_codex":0.00020962553,"about_ca_topic_score_gemma":0.00004407383,"teacher_disagreement_score":0.058575783,"about_ca_system_score_codex":0.00019372108,"about_ca_system_score_gemma":0.000022079945,"threshold_uncertainty_score":0.7697155},"labels":[],"label_agreement":null},{"id":"W2153943598","doi":"10.3141/2082-08","title":"Hybrid Choice Modeling of New Technologies for Car Choice in Canada","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Structural equation modeling; Latent variable; Context (archaeology); Discrete choice; Choice set; Econometrics; Computer science; Representation (politics); Perception; Set (abstract data type); Process (computing); Mathematics; Machine learning; Psychology","score_opus":0.25229696775920163,"score_gpt":0.32527109953786104,"score_spread":0.07297413177865941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153943598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99262303,0.0008397549,0.0034806575,0.0018484152,0.00025838072,0.0006944001,0.00015366318,0.000007856235,0.000093819915],"genre_scores_gemma":[0.996387,0.0016312556,0.0014758228,0.000021192347,0.00006618116,0.000045999703,0.000016511252,0.00003019968,0.0003258616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99682176,0.00009746769,0.0016994271,0.00032165262,0.0005210504,0.0005386506],"domain_scores_gemma":[0.9980334,0.0005773155,0.0005584097,0.00031589993,0.00038079752,0.00013416975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019728069,0.00014981224,0.0004899674,0.0007148489,0.0002301658,0.000018126511,0.00072092493,0.00009498014,0.00011813489],"category_scores_gemma":[0.00031357372,0.00014346537,0.00021392651,0.00062141306,0.00020833377,0.000457521,0.0000061782607,0.0008617425,0.0000069833823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016691022,0.00006705046,0.96013224,0.000106591986,0.00005197421,0.0000092977525,0.00056859927,0.034370996,0.00015067657,0.0017002526,0.0016845132,0.0009909037],"study_design_scores_gemma":[0.0016675524,0.00018960077,0.9769813,0.00011550853,0.000008432914,3.5406373e-7,0.001021617,0.0066334154,0.0007405979,0.00798726,0.0045021498,0.0001522474],"about_ca_topic_score_codex":0.8618386,"about_ca_topic_score_gemma":0.913467,"teacher_disagreement_score":0.05162841,"about_ca_system_score_codex":0.0008520491,"about_ca_system_score_gemma":0.0010792379,"threshold_uncertainty_score":0.5850348},"labels":[],"label_agreement":null},{"id":"W2154361378","doi":"10.1017/s1355770x14000503","title":"Does payment type affect willingness-to-pay? Valuing new seed varieties in India","year":2014,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; First Nations Health and Social Secretariat of Manitoba; Assembly of First Nations; Health Canada","funders":"","keywords":"Payment; Cash; Valuation (finance); Incentive; Business; Affect (linguistics); Economics; Willingness to pay; Actuarial science; Finance; Microeconomics","score_opus":0.03085716216317141,"score_gpt":0.1806133804832923,"score_spread":0.1497562183201209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154361378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903621,0.0001745813,0.005389587,0.0004207992,0.0005680952,0.0003591029,0.0000065042173,0.000023164106,0.0026960836],"genre_scores_gemma":[0.98743147,0.00081000186,0.008453314,0.0005980591,0.00012644581,0.000037284004,0.000049171587,0.000039422044,0.0024548448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823093,0.000019327877,0.00072528544,0.00062806654,0.00003194516,0.00036445505],"domain_scores_gemma":[0.9992789,0.000055245,0.00022565521,0.0002474648,0.000001416878,0.00019132833],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007755831,0.0002663186,0.0004210577,0.0001692773,0.00011853858,0.00008613431,0.0001584993,0.000118417855,0.000543038],"category_scores_gemma":[0.000021245087,0.00023673358,0.00003927099,0.000049894315,0.000046444125,0.00025628248,0.00017236623,0.00012827906,0.0015149075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019607924,0.000048280104,0.98209584,0.000012716273,0.000033926503,3.831287e-7,0.0014228049,0.0026592773,0.000016516606,0.008665856,0.00009898601,0.0049257823],"study_design_scores_gemma":[0.00072967395,0.00006523538,0.89933,0.000010972735,0.0000037479374,6.7435354e-7,0.0001079444,0.0009355207,0.00025337542,0.0074262344,0.09071217,0.00042441284],"about_ca_topic_score_codex":0.00005219652,"about_ca_topic_score_gemma":0.000019819576,"teacher_disagreement_score":0.09061318,"about_ca_system_score_codex":0.00046755647,"about_ca_system_score_gemma":0.00002634981,"threshold_uncertainty_score":0.9992625},"labels":[],"label_agreement":null},{"id":"W2154742701","doi":"10.5555/2693848.2694063","title":"Discrete choice, agent based and system dynamics simulation of health profession career paths","year":2014,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Discrete choice; Certainty; System dynamics; Explanatory power; Heteroscedasticity; Scale (ratio); Econometrics; Artificial intelligence; Machine learning; Economics; Mathematics","score_opus":0.10649123111971395,"score_gpt":0.26943297207810024,"score_spread":0.1629417409583863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154742701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45425057,0.0000632972,0.5434869,0.00022689045,0.00021052253,0.00025443293,0.00005452015,0.000023876166,0.0014290026],"genre_scores_gemma":[0.99916476,0.000003912583,0.00038386224,0.00011306278,0.00003267487,0.000010658547,0.000115618794,0.000014782373,0.00016068485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877477,0.00006416647,0.0006734874,0.0003020169,0.000045704433,0.00013986646],"domain_scores_gemma":[0.9989786,0.00013162302,0.00057832577,0.00022628882,0.00002944522,0.000055731532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005755138,0.0001226177,0.00030461978,0.00010502494,0.00008346533,0.000031651784,0.000082067476,0.0000734526,0.00009790451],"category_scores_gemma":[0.000059644557,0.00013439733,0.000047925838,0.000050755145,0.000040674626,0.00020871803,0.000040200644,0.00006641983,0.000046982626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012482206,0.000026963833,0.35452908,0.00016174991,0.000012502342,4.532088e-8,0.00057896227,0.62094235,0.0000066235275,0.016767541,0.0000069607236,0.0069547286],"study_design_scores_gemma":[0.00037437378,0.00006240336,0.20900251,0.00008116021,0.000003266524,7.3076315e-8,0.00014398829,0.7894963,0.000007776791,0.0004260027,0.00029823752,0.000103905535],"about_ca_topic_score_codex":0.00012797318,"about_ca_topic_score_gemma":0.00003691085,"teacher_disagreement_score":0.5449142,"about_ca_system_score_codex":0.00021907035,"about_ca_system_score_gemma":0.00001395054,"threshold_uncertainty_score":0.5480564},"labels":[],"label_agreement":null},{"id":"W2155094271","doi":"10.1093/oxfordhb/9780195398649.013.0021","title":"Economic Value of Weather and Climate Forecasts","year":2012,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":302,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"National Oceanic and Atmospheric Administration","keywords":"Valuation (finance); Value (mathematics); Section (typography); Willingness to pay; Climate change; Contingent valuation; Economics; Revealed preference; Climatology; Environmental science; Meteorology; Econometrics; Geography; Computer science; Mathematics; Statistics; Microeconomics","score_opus":0.056622083084654426,"score_gpt":0.17774815829980803,"score_spread":0.1211260752151536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155094271","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02032518,0.0007381885,0.000077630844,0.000008360822,0.00015746521,0.00021236847,0.0006606025,0.000015889531,0.9778043],"genre_scores_gemma":[0.14668801,0.0053990297,0.0004492744,0.00003147762,0.00010934283,0.0000012022945,0.00006081794,0.00007013984,0.8471907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991301,0.000005528501,0.00031591996,0.00032706367,0.000018689305,0.00020272344],"domain_scores_gemma":[0.99909574,0.000022358892,0.0005210735,0.0002727551,0.000004150519,0.00008389638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017614792,0.00020977078,0.0004376916,0.00013182538,0.00006757419,0.000012951412,0.00016420012,0.0002517753,0.00037181875],"category_scores_gemma":[0.000001085427,0.00029258747,0.00013726446,0.0000015860289,0.00014438691,0.00014594354,0.0002203281,0.00012808434,0.000030679264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021776637,0.000006541675,0.0040708967,0.000046222052,0.00009844571,0.0000010893835,0.0001284975,0.00002593314,0.0000013055482,0.9928156,0.00010646147,0.0026772437],"study_design_scores_gemma":[0.00050875614,0.000045726963,0.0030273006,0.00003466856,0.0000614186,0.000003364472,0.000018437764,0.0003368777,0.000025046957,0.006593828,0.9890148,0.00032976622],"about_ca_topic_score_codex":0.00007922963,"about_ca_topic_score_gemma":0.000013455477,"teacher_disagreement_score":0.98890835,"about_ca_system_score_codex":0.00021780161,"about_ca_system_score_gemma":0.000008782502,"threshold_uncertainty_score":0.9999526},"labels":[],"label_agreement":null},{"id":"W2155115835","doi":"10.1111/j.1574-0862.2001.tb00202.x","title":"An economic evaluation of the environmental benefits from pesticide reduction","year":2001,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Pesticide; Contingent valuation; Valuation (finance); Agriculture; Damages; Cost–benefit analysis; Willingness to pay; Economics; Natural resource economics; Pesticide residue; Business; Agricultural economics; Geography; Microeconomics","score_opus":0.06507472808022119,"score_gpt":0.20047452175902086,"score_spread":0.13539979367879967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155115835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948382,0.00053677993,0.000015114204,0.00028011965,0.0008354147,0.0003537846,0.00032179418,0.000016081245,0.0028027613],"genre_scores_gemma":[0.9985939,0.0004941997,0.0001420521,0.000044923974,0.0002645013,0.000034213528,0.00027977777,0.000017967093,0.00012844901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985464,0.000041987223,0.00071225804,0.00046233472,0.000038440157,0.00019857427],"domain_scores_gemma":[0.99884975,0.000021776617,0.00062763283,0.00041963454,0.000007253718,0.000073942385],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049247296,0.0001849782,0.0002816447,0.000046447953,0.00013676283,0.0000446985,0.00031430722,0.000117862524,0.0015903924],"category_scores_gemma":[0.000011704276,0.00016183552,0.00015213237,0.000038082126,0.00009006333,0.000710441,0.000059910177,0.000098152355,0.000697985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022142274,0.00019641468,0.7384679,0.0000031524023,0.00012957834,8.7198465e-8,0.0006550343,0.22556183,0.001505763,0.024327617,0.0002418063,0.008888702],"study_design_scores_gemma":[0.0005817896,0.000039427137,0.97271925,0.0000054656825,0.00004306123,0.000010359471,0.00039276862,0.015676418,0.0011018448,0.008788647,0.00040523673,0.00023571652],"about_ca_topic_score_codex":0.0005892291,"about_ca_topic_score_gemma":0.00013323486,"teacher_disagreement_score":0.2342514,"about_ca_system_score_codex":0.0008934476,"about_ca_system_score_gemma":0.000017904875,"threshold_uncertainty_score":0.9993223},"labels":[],"label_agreement":null},{"id":"W2155624289","doi":"10.5539/jsd.v3n4p3","title":"Valuing Ecological Restoration and Recreational Benefits in a Mountain Protected Area: The Case of Los Nevados National Park, Colombia","year":2010,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Florida; Tinker Foundation","keywords":"Contingent valuation; Recreation; Bequest; National park; Willingness to pay; Economic surplus; Valuation (finance); Tourism; Geography; Restoration ecology; Total economic value; Opportunity cost; Nature Conservation; Environmental protection; Environmental resource management; Economics; Ecology; Ecosystem services; Political science; Welfare","score_opus":0.054511072839283366,"score_gpt":0.22541158078000612,"score_spread":0.17090050794072276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155624289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982138,0.00017891111,0.00017931851,0.0005112185,0.00006437189,0.00033181845,0.00000596848,0.0000019192566,0.00051264395],"genre_scores_gemma":[0.996849,0.000038023616,0.002778421,0.000051407143,0.00003215986,0.00003711251,0.000006063828,0.0000059071767,0.0002019098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886596,0.000026873251,0.000772504,0.00012669577,0.000062208586,0.00014574266],"domain_scores_gemma":[0.999022,0.00010462428,0.0006426245,0.000056380413,0.00013158332,0.000042810043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002355771,0.000082613435,0.00020066241,0.0002261507,0.00012703256,0.000036789992,0.00008339171,0.00008536751,0.00015624306],"category_scores_gemma":[0.0004246534,0.00007277169,0.000029041572,0.00013664013,0.000056103247,0.00029891814,0.000045948713,0.0002240339,0.0000036434442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019025563,0.000549046,0.6799888,0.00009557583,0.000116311676,0.0002705534,0.0036549212,0.00834405,0.0004076107,0.30257726,0.0006523031,0.00315334],"study_design_scores_gemma":[0.0008169409,0.00008783638,0.977372,0.000017891925,0.0000041675908,0.00027752758,0.0020856732,0.0024051827,0.00014075996,0.015273947,0.0014125679,0.000105539126],"about_ca_topic_score_codex":0.0000608054,"about_ca_topic_score_gemma":0.0001334915,"teacher_disagreement_score":0.2973832,"about_ca_system_score_codex":0.00051273487,"about_ca_system_score_gemma":0.00018395181,"threshold_uncertainty_score":0.29675433},"labels":[],"label_agreement":null},{"id":"W2156776528","doi":"10.1111/j.1524-4733.2008.00457.x","title":"The Willingness to Pay for Reducing Pain and Pain-Related Disability","year":2008,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"Willingness to pay; Medicine; Chronic pain; Physical therapy; Psychological intervention; Quality of life (healthcare); Nursing; Economics","score_opus":0.12095091136642114,"score_gpt":0.24863215887101756,"score_spread":0.12768124750459642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156776528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853688,0.0012687359,0.00488864,0.0075038606,0.00020831732,0.00062161795,0.000022083883,0.000012846095,0.00010511575],"genre_scores_gemma":[0.9974331,0.00081795984,0.0008294988,0.0006085128,0.000042110205,0.000073931114,0.0000076618335,0.000013100392,0.00017408874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987176,0.00012311057,0.0006038574,0.00029339944,0.000016615713,0.00024542262],"domain_scores_gemma":[0.99899024,0.000576572,0.00016032635,0.0001892564,0.0000030958831,0.000080484715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072910604,0.0000781329,0.00019788713,0.00002672792,0.00029961995,0.000014889583,0.00007746412,0.000045684137,0.000014309579],"category_scores_gemma":[0.00037807395,0.00006713067,0.00003511,0.00008296125,0.00006766782,0.00006680911,0.000017327973,0.00008176288,0.000023772243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012976976,0.000050536546,0.9500178,0.00005651631,0.000006573613,1.4719865e-7,0.0018708574,0.013507184,0.0000010704925,0.014131957,0.0003514884,0.019992866],"study_design_scores_gemma":[0.00044613142,0.0002460865,0.821394,0.000036355526,7.1719654e-7,0.0000017031207,0.00021815825,0.12454186,0.0000033229512,0.03693944,0.016008422,0.00016376407],"about_ca_topic_score_codex":0.0022415747,"about_ca_topic_score_gemma":0.00004780443,"teacher_disagreement_score":0.12862378,"about_ca_system_score_codex":0.00030551787,"about_ca_system_score_gemma":0.00001758948,"threshold_uncertainty_score":0.33886054},"labels":[],"label_agreement":null},{"id":"W2156906880","doi":"10.1257/pol.6.1.92","title":"Paging Inspector Sands: The Costs of Public Information","year":2014,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Countdown; Exploit; Paging; Welfare; Business; Computer science; Computer security; Economics; Engineering; Computer network; Market economy","score_opus":0.03748546763368386,"score_gpt":0.224091330792324,"score_spread":0.18660586315864014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156906880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93247837,0.00017823245,0.004448962,0.006242131,0.00074095116,0.00019199548,0.00015255621,0.000028911818,0.055537865],"genre_scores_gemma":[0.9962893,0.0007642612,0.00029435,0.0016473714,0.00082652783,0.000017403912,0.000019829302,0.000032148113,0.00010882167],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975047,0.00008191551,0.0016055274,0.00027276645,0.00002900259,0.00050610333],"domain_scores_gemma":[0.9966491,0.000170724,0.002457765,0.000490659,0.000011750554,0.00021998756],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020152146,0.0002461562,0.000638415,0.0005554576,0.00025674494,0.00024457712,0.00062951056,0.000062464496,0.0007615025],"category_scores_gemma":[0.00016269257,0.00024674574,0.00025756552,0.00009484375,0.0004628558,0.0015990246,0.000119954806,0.00027505666,0.0035182475],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018338173,0.000036929814,0.25407547,0.000008183388,0.00022700633,1.854477e-7,0.00087649905,0.005064536,0.000010947349,0.65724266,0.0026432753,0.079795964],"study_design_scores_gemma":[0.0031997764,0.0005098206,0.5549339,0.00003200412,0.000036485286,0.00020581925,0.0026692546,0.042681016,0.00013608873,0.063757926,0.33062398,0.0012139339],"about_ca_topic_score_codex":0.0032665038,"about_ca_topic_score_gemma":0.00012354137,"teacher_disagreement_score":0.5934847,"about_ca_system_score_codex":0.002375577,"about_ca_system_score_gemma":0.00018701323,"threshold_uncertainty_score":0.99999845},"labels":[],"label_agreement":null},{"id":"W2156949615","doi":"10.4102/sajems.v10i4.1058","title":"The economic value of flower tourism at the Namaqua National Park, South Africa","year":2014,"lang":"en","type":"article","venue":"South African Journal of Economic and Management Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Recreation; National park; Tourism; Revenue; Value (mathematics); Accommodation; Preference; Geography; Agricultural economics; Revealed preference; Economics; Business; Socioeconomics; Finance; Political science; Archaeology; Statistics","score_opus":0.04608372394756652,"score_gpt":0.20981675975161676,"score_spread":0.16373303580405024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156949615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86848146,0.0013450988,0.0008378418,0.0016270638,0.0009104434,0.00022152677,0.000054640215,0.0000051629336,0.12651677],"genre_scores_gemma":[0.9971303,0.0003664087,0.00031134754,0.0001195908,0.00016696415,0.000007917672,9.757157e-7,0.000009167623,0.0018873662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998452,0.00004740152,0.0008856639,0.00028276406,0.00007408487,0.00025807525],"domain_scores_gemma":[0.99825346,0.0001789031,0.0012896601,0.00018811064,0.000009858926,0.00008001186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038974152,0.00014167513,0.00030058375,0.00016294136,0.0004921407,0.00011915954,0.00054399396,0.00003568451,0.00021585239],"category_scores_gemma":[0.000036818088,0.000099675686,0.0001518234,0.000056763358,0.00067711837,0.0002644802,0.00017998679,0.00008712798,0.00023090006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050151826,0.000027258322,0.076284096,0.000019047016,0.0002796761,5.565803e-7,0.004230678,0.042020038,0.0000026968034,0.86832505,0.0072836173,0.0014771527],"study_design_scores_gemma":[0.0037294654,0.00080378517,0.21465893,0.000068380425,0.00016941251,0.000032143424,0.023956174,0.06461864,0.00007809121,0.3166466,0.37413615,0.0011022425],"about_ca_topic_score_codex":0.000015855685,"about_ca_topic_score_gemma":0.0000163876,"teacher_disagreement_score":0.5516784,"about_ca_system_score_codex":0.00029162003,"about_ca_system_score_gemma":0.000037905807,"threshold_uncertainty_score":0.40646565},"labels":[],"label_agreement":null},{"id":"W2157588624","doi":"","title":"An Empirical study of aggregation of alternatives and its influence on prediction: case study of car type choice in Sweden","year":2012,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Econometrics; Empirical research; Computer science; Economics; Statistics; Mathematics","score_opus":0.16389318888642557,"score_gpt":0.3703017745800405,"score_spread":0.20640858569361492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157588624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979636,0.00011958956,2.6688366e-7,0.000007634674,0.00006804467,0.00062327215,0.000025929234,0.000002940158,0.0011887387],"genre_scores_gemma":[0.9994902,0.00037272793,0.000016969423,0.0000057028824,0.000032037064,0.00003695215,0.000003588137,0.000013405357,0.00002839226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849576,0.00012741513,0.0007953425,0.00032082552,0.000055808297,0.0002048235],"domain_scores_gemma":[0.9990654,0.00021415978,0.00032026376,0.00030036335,0.000027350277,0.00007245391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00148079,0.00010141962,0.0003527065,0.00041274072,0.000039367435,0.000008818433,0.00013967462,0.00007189978,0.00003338006],"category_scores_gemma":[0.00019360862,0.0001205836,0.000020670359,0.00014910352,0.00007616676,0.00041703923,0.00007672426,0.0001831202,0.000003389957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006404369,0.0018612368,0.9775764,0.000020342119,0.000033141416,0.0000037560676,0.007894961,0.00986817,0.000060310915,0.00010180827,3.7435996e-7,0.0025154701],"study_design_scores_gemma":[0.0013481495,0.0020619617,0.9783386,0.000017052937,0.0000035052092,0.0000062166537,0.012343827,0.00557646,0.00014089617,0.000057550897,0.000018060296,0.0000877311],"about_ca_topic_score_codex":0.0010718097,"about_ca_topic_score_gemma":0.0008422414,"teacher_disagreement_score":0.0044488655,"about_ca_system_score_codex":0.00024064844,"about_ca_system_score_gemma":0.000017955286,"threshold_uncertainty_score":0.49172565},"labels":[],"label_agreement":null},{"id":"W2158062010","doi":"10.1177/0272989x02238301","title":"Willingness to Pay for What? A Note on Alternative Definitions of Health Care Program Benefits for Contingent Valuation Studies","year":2002,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; McMaster University; St. Joseph's Hospital; St. Joseph’s Healthcare Hamilton; University of Calgary","funders":"","keywords":"Contingent valuation; Willingness to pay; Actuarial science; Valuation (finance); Health care; Economics; Cost–benefit analysis; Value (mathematics); Health economics; Public economics; Microeconomics; Statistics; Accounting; Mathematics","score_opus":0.41473583205410913,"score_gpt":0.38604142505608113,"score_spread":0.028694406998028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158062010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39981043,0.011972925,0.5779106,0.0047199097,0.0018321144,0.003142155,0.00029072064,0.000040754978,0.00028038808],"genre_scores_gemma":[0.9655579,0.002441021,0.029988509,0.0011862767,0.00012249225,0.0006330821,0.00003495595,0.000020464708,0.000015348889],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984225,0.00001957968,0.0008498204,0.00036431782,0.00012679773,0.00021695714],"domain_scores_gemma":[0.99851453,0.0007481405,0.00043420892,0.00015635818,0.00006848714,0.00007828801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012556262,0.00011773537,0.00040777648,0.00012843598,0.00018097252,0.000038918864,0.00013370765,0.00007111972,0.00009794313],"category_scores_gemma":[0.001553856,0.000108144035,0.00012352123,0.00009175677,0.000032726515,0.00014419806,0.00004610551,0.00006494058,0.00006013379],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003147834,0.0001390283,0.001883414,0.000058454218,0.000035264762,1.3365917e-7,0.003084076,0.0028938667,3.2128628e-7,0.032994024,0.00045560344,0.9584243],"study_design_scores_gemma":[0.010397727,0.008104147,0.07976622,0.0062088203,0.00008717432,0.0000042834095,0.00937514,0.39374068,0.0002375717,0.43674082,0.053951953,0.0013854721],"about_ca_topic_score_codex":0.0000065493377,"about_ca_topic_score_gemma":0.000025866877,"teacher_disagreement_score":0.9570389,"about_ca_system_score_codex":0.00027765887,"about_ca_system_score_gemma":0.000012636105,"threshold_uncertainty_score":0.44099858},"labels":[],"label_agreement":null},{"id":"W2158121860","doi":"10.1287/trsc.1110.0357","title":"Risk Aversion, the Value of Information, and Traffic Equilibrium","year":2011,"lang":"en","type":"article","venue":"Transportation Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Private information retrieval; Value of information; Risk aversion (psychology); The Internet; Population; Business; Microeconomics; Actuarial science; Expected utility hypothesis; Economics; Risk analysis (engineering); Computer science; Computer security","score_opus":0.05149043970239357,"score_gpt":0.1950721062556506,"score_spread":0.14358166655325705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158121860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99361986,0.00006995407,0.003148704,0.000054862878,0.00008417546,0.00009279843,0.00004963574,0.0000075304747,0.0028724761],"genre_scores_gemma":[0.9988493,0.00009336449,0.0009505764,0.00006572963,0.000003864249,0.0000037069951,0.0000065623535,0.0000020116306,0.00002493742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999412,0.0000042294496,0.0003451727,0.000113511895,0.00003913672,0.000085944725],"domain_scores_gemma":[0.99955064,0.000014569329,0.00026912027,0.00011947389,0.00001404826,0.00003215141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007695132,0.000044366472,0.00007662446,0.000085015265,0.00009534336,0.000014086387,0.00014390453,0.000018960043,0.00020327466],"category_scores_gemma":[0.000021562426,0.000039525363,0.00002236972,0.0001707739,0.00032595935,0.0009524442,0.0000045490947,0.000035788624,0.00009754986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001044916,0.000024039959,0.8075548,0.000011376943,0.0000072342,6.4647104e-8,0.016530342,0.002863609,0.00007269476,0.17072998,0.000038354297,0.0021570765],"study_design_scores_gemma":[0.00015734948,0.00002348804,0.98940986,0.0000017983899,0.000004093324,2.6152162e-7,0.00045013844,0.0040415972,0.00046795237,0.005075121,0.00031649458,0.000051864597],"about_ca_topic_score_codex":0.0001776539,"about_ca_topic_score_gemma":0.00000952517,"teacher_disagreement_score":0.18185505,"about_ca_system_score_codex":0.000017764703,"about_ca_system_score_gemma":0.000014467574,"threshold_uncertainty_score":0.22257149},"labels":[],"label_agreement":null},{"id":"W2158692592","doi":"10.5539/enrr.v4n4p109","title":"Experts Valuating the Climate Change Policies in Greece: Self-Interested Versus Ethically Motivated Values","year":2014,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Climate change; Individualism; Positive economics; Public economics; Economics; Context (archaeology); Environmental ethics; Political science; Law; Accounting; Geography; Ecology; Philosophy","score_opus":0.21445516072126977,"score_gpt":0.3195719430961164,"score_spread":0.10511678237484665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158692592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905866,0.002760218,0.000006395165,0.002488751,0.0001322706,0.0003755783,0.000007473537,0.00002249719,0.003620234],"genre_scores_gemma":[0.99638134,0.0026664673,0.0001314442,0.00019426926,0.00017923558,0.00008356405,0.00001280492,0.000023490047,0.00032735575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981016,0.0002935873,0.0004274877,0.0004586096,0.0001736322,0.00054509303],"domain_scores_gemma":[0.9988202,0.00066681416,0.00012839271,0.00029719915,0.000005561107,0.00008184028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034862328,0.0001656048,0.00024377456,0.00022348137,0.00037360773,0.000108613815,0.00029201203,0.00013839586,0.00027101784],"category_scores_gemma":[0.0002725187,0.00013668899,0.000056303565,0.00014019613,0.00028564472,0.00020135436,0.00038543067,0.0005407544,0.00026088743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036798452,0.00024374443,0.9146776,0.00007217491,0.00010579644,0.000004438957,0.036861528,0.00026401464,0.00063262734,0.019333195,0.0005103332,0.026926568],"study_design_scores_gemma":[0.0013176,0.00024457317,0.95836926,0.000033824705,0.0000042373235,0.0000014377908,0.0015102702,0.024308344,0.00009091182,0.0025942815,0.011288351,0.0002369403],"about_ca_topic_score_codex":0.0003261297,"about_ca_topic_score_gemma":0.00004714687,"teacher_disagreement_score":0.04369163,"about_ca_system_score_codex":0.00025125302,"about_ca_system_score_gemma":0.0000027015126,"threshold_uncertainty_score":0.55740154},"labels":[],"label_agreement":null},{"id":"W2158829459","doi":"10.22004/ag.econ.19927","title":"THE LOCATIONAL DETERMINANTS OF LARGE LIVESTOCK OPERATIONS: EVIDENCE FROM THE U.S. HOG, DAIRY, AND FED-CATTLE SECTORS","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Livestock; Panel data; Production (economics); Business; Agricultural science; Natural resource economics; Agricultural economics; Economics; Geography; Econometrics; Microeconomics; Environmental science; Forestry","score_opus":0.1171841263867465,"score_gpt":0.25118128288070446,"score_spread":0.13399715649395796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158829459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99183357,0.0037939798,0.0014752751,0.0013717295,0.00016909651,0.00040588563,0.0007138894,0.0000050262643,0.00023157895],"genre_scores_gemma":[0.99192345,0.0064806812,0.0006238979,0.000038399292,0.000045764566,0.0000033399847,0.000074800584,0.000011920593,0.0007977635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883884,0.00007150347,0.00036311228,0.00043825642,0.000085684405,0.00020260114],"domain_scores_gemma":[0.99861056,0.00041139073,0.00035489164,0.00051542575,0.00004455823,0.00006317086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009696508,0.00015307363,0.00033906457,0.00008245211,0.00044138907,0.000051835777,0.0006195709,0.00015806139,0.00062729797],"category_scores_gemma":[0.000101533886,0.00015424323,0.000119249984,0.00007180332,0.00043723182,0.00034678343,0.0006643523,0.0002790407,0.00018772979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054022043,0.00012265965,0.97811276,0.00010279146,0.00017947664,0.0000025776303,0.007863461,0.00466282,0.00003511688,0.005821435,0.00068568083,0.002357198],"study_design_scores_gemma":[0.00041731566,0.00006641942,0.98719645,0.0001382648,0.00002389051,0.0000012881748,0.0020255423,0.00690136,0.000069094334,0.0022856966,0.00070621405,0.00016846058],"about_ca_topic_score_codex":0.009784643,"about_ca_topic_score_gemma":0.008890985,"teacher_disagreement_score":0.009083693,"about_ca_system_score_codex":0.00019621741,"about_ca_system_score_gemma":0.00012700961,"threshold_uncertainty_score":0.9968093},"labels":[],"label_agreement":null},{"id":"W2159562578","doi":"","title":"BUILDING FUTURE TOURISM ENVIRONMENTS: TOWARDS MORE ECO-EFFICIENT DESTINATION TRANSPORTATION SYSTEMS","year":2008,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Capilano University","funders":"","keywords":"Tourism; Business; Public transport; Transport engineering; Sustainable transport; Constraint (computer-aided design); Environmental economics; Sustainable tourism; Marketing; Sustainable development; Engineering; Sustainability; Geography; Economics","score_opus":0.02334407425230593,"score_gpt":0.1928159967641179,"score_spread":0.16947192251181198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159562578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832903,0.001536934,0.0033236705,0.00008110832,0.0018546912,0.0005860865,0.0005198257,0.00006748264,0.008739912],"genre_scores_gemma":[0.9746346,0.0021205994,0.00042102815,0.00004011549,0.00033873788,0.000011891772,0.0044746203,0.00008409654,0.01787434],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980373,0.000033798857,0.0006331196,0.0008177961,0.00012945464,0.00034854424],"domain_scores_gemma":[0.9986302,0.000020994443,0.0008339264,0.00035512476,0.00001931408,0.00014040396],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019980436,0.0004135392,0.0005418367,0.00067594857,0.00030906306,0.0000514345,0.00035539284,0.0006162693,0.00032270988],"category_scores_gemma":[0.000011148691,0.00058816647,0.00024709143,0.00028933625,0.00005658356,0.0004005821,0.000016132144,0.0003872079,0.0003267511],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004126359,0.0011964416,0.74417716,0.00081418664,0.0009289976,0.00042635816,0.002028229,0.1441024,0.000043620592,0.077407174,0.018905407,0.009557386],"study_design_scores_gemma":[0.0030845164,0.00018395096,0.4228639,0.00023286644,0.00026673666,8.4252974e-8,0.050070345,0.010118117,0.00062068546,0.00055874384,0.5097828,0.0022172828],"about_ca_topic_score_codex":0.00055115466,"about_ca_topic_score_gemma":0.0016981072,"teacher_disagreement_score":0.49087736,"about_ca_system_score_codex":0.0011357173,"about_ca_system_score_gemma":0.000043310305,"threshold_uncertainty_score":0.999657},"labels":[],"label_agreement":null},{"id":"W2159936838","doi":"10.1016/j.jval.2012.08.2223","title":"Constructing Experimental Designs for Discrete-Choice Experiments: Report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force","year":2013,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1809,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; University of Calgary","funders":"","keywords":"Conjoint analysis; Management science; Task (project management); Computer science; Preference; Checklist; Preference elicitation; Health care; Operations research; Engineering; Systems engineering; Psychology; Mathematics","score_opus":0.4394866308800806,"score_gpt":0.3964888750498891,"score_spread":0.0429977558301915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159936838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98292613,0.0028390633,0.008790081,0.0008826608,0.0003122472,0.0025148669,0.000057549947,0.000015313091,0.0016620945],"genre_scores_gemma":[0.98750144,0.000038770064,0.011142184,0.000120754645,0.00006329965,0.00067974516,0.00003143418,0.000031474417,0.00039092437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968117,0.00032124613,0.0015552326,0.000654264,0.00013500468,0.0005225453],"domain_scores_gemma":[0.9965353,0.00073786976,0.002005773,0.00056672166,0.000032421776,0.00012190224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004018093,0.00019024214,0.00058339466,0.00032923536,0.00028486867,0.000073341704,0.00032677696,0.00010143521,0.00041165057],"category_scores_gemma":[0.0005602387,0.00018563711,0.00020732026,0.00044627715,0.00022535527,0.00054004893,0.00013642793,0.00020755129,0.000041892967],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096414544,0.0010441408,0.90163624,0.0001455198,0.0005385486,0.0000031292993,0.008396854,0.017526885,0.009232139,0.06024713,0.00089031464,0.00024267455],"study_design_scores_gemma":[0.008386459,0.0030349414,0.2220009,0.00037209608,0.00011767252,0.00009594384,0.10995546,0.3523383,0.28024703,0.018905535,0.0025697642,0.0019759089],"about_ca_topic_score_codex":0.015099248,"about_ca_topic_score_gemma":0.000034153018,"teacher_disagreement_score":0.67963535,"about_ca_system_score_codex":0.0011857166,"about_ca_system_score_gemma":0.00010826799,"threshold_uncertainty_score":0.9914593},"labels":[],"label_agreement":null},{"id":"W2160130318","doi":"10.1287/mksc.1080.0474","title":"<b>Commentary</b>—Discussion of “Alleviating the Constant Stochastic Variance Assumption in Decision Research: Theory, Measurement, and Experimental Test”","year":2009,"lang":"en","type":"article","venue":"Marketing Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Variance (accounting); Test (biology); Constant (computer programming); Econometrics; Economics; Mathematical economics; Computer science; Accounting","score_opus":0.15745648459640624,"score_gpt":0.30204157493751393,"score_spread":0.1445850903411077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160130318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99021095,0.0007055159,0.003485856,0.0015951244,0.000094569026,0.00028816343,0.000005670603,0.0000072916623,0.003606872],"genre_scores_gemma":[0.9987062,0.000035913676,0.0010172884,0.0001885583,0.000018314404,0.000009644937,6.511192e-7,0.0000048224924,0.000018589795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985923,0.00012337722,0.00046222925,0.000372353,0.00018571962,0.0002640198],"domain_scores_gemma":[0.9989309,0.0005651889,0.00022108444,0.0002143393,0.000022328297,0.000046171368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023863776,0.000084712214,0.00014859512,0.00020594023,0.00035070835,0.00007078786,0.00026259804,0.000028769027,0.00007750827],"category_scores_gemma":[0.0022340268,0.000063483996,0.000022156757,0.00031777803,0.00043960364,0.00030774283,0.000116152674,0.00014072914,0.000014171246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004793667,0.0010879709,0.6667814,0.000048269052,0.000017213364,0.0000032280445,0.009822792,0.0040920856,0.109850116,0.098275796,0.00065213774,0.108889624],"study_design_scores_gemma":[0.0005976269,0.00014060763,0.9444369,0.00019158919,0.0000016941137,0.0000027246576,0.0018470048,0.01935305,0.0009487692,0.03229172,0.000047939135,0.0001403789],"about_ca_topic_score_codex":0.00004481236,"about_ca_topic_score_gemma":0.000007855258,"teacher_disagreement_score":0.27765548,"about_ca_system_score_codex":0.00035515538,"about_ca_system_score_gemma":0.00001894177,"threshold_uncertainty_score":0.8270756},"labels":[],"label_agreement":null},{"id":"W2160402372","doi":"","title":"View from a canoe: Modelling wilderness canoeists' perceptions and preferences for Northern Ontario's boreal landscape","year":2005,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beauty; Geography; Perception; Wilderness; Discrete choice; Class (philosophy); Mixed logit; Boreal; Taiga; Wilderness area; Environmental resource management; Ecology; Cartography; Logistic regression; Psychology; Computer science; Forestry; Environmental science; Artificial intelligence; Art; Biology; Machine learning; Archaeology","score_opus":0.040122686531334786,"score_gpt":0.1962336366066197,"score_spread":0.15611095007528492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160402372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97434235,0.0009820285,0.0009941143,0.000037423782,0.00027820296,0.00038294864,0.0010015027,0.000027337443,0.02195409],"genre_scores_gemma":[0.97496647,0.0011875731,0.00046161807,0.000030742132,0.00013132556,0.000012056947,0.005903305,0.000039335315,0.017267594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987347,0.000012839484,0.00033915145,0.000634904,0.000039345334,0.00023905985],"domain_scores_gemma":[0.9992625,0.00004069854,0.0003390403,0.00022351649,0.000024512281,0.00010971639],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008752206,0.0002769548,0.00046037193,0.00025092962,0.00022858565,0.00006558139,0.00022757196,0.0003099483,0.0008761277],"category_scores_gemma":[0.000004154656,0.00037236416,0.00013670907,0.000086967746,0.000037637106,0.0003300914,0.000029198767,0.00021047579,0.0000875575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008321608,0.000051991166,0.99347746,0.000042960368,0.00012053134,0.000001661523,0.00049949717,0.0021363401,1.2728974e-7,0.0010252808,0.0004643945,0.002096549],"study_design_scores_gemma":[0.0032596514,0.00021028092,0.7221203,0.00022032208,0.00043727746,1.4814517e-8,0.041471247,0.0105706435,0.000014547934,0.0073144366,0.21259479,0.0017865032],"about_ca_topic_score_codex":0.09766089,"about_ca_topic_score_gemma":0.9839252,"teacher_disagreement_score":0.8862643,"about_ca_system_score_codex":0.00055950735,"about_ca_system_score_gemma":0.00010365925,"threshold_uncertainty_score":0.9998728},"labels":[],"label_agreement":null},{"id":"W2160457197","doi":"10.1016/j.biocon.2007.02.018","title":"Heuristic algorithms vs. linear programs for designing efficient conservation reserve networks: Evaluation of solution optimality and processing time","year":2007,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Carleton University; Environment and Climate Change Canada","funders":"","keywords":"Heuristics; Heuristic; Computer science; Mathematical optimization; Algorithm; Null-move heuristic; Consistent heuristic; Search algorithm; Mathematics; Incremental heuristic search; Beam search","score_opus":0.29048324169723255,"score_gpt":0.2993051758238464,"score_spread":0.008821934126613862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160457197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6631719,0.00055077346,0.3350522,0.00023527861,0.00005899788,0.0007658932,0.000014795401,0.00002534887,0.00012481539],"genre_scores_gemma":[0.97612596,0.000029207973,0.023114074,0.00014938081,0.00007586387,0.000088530105,0.0003841199,0.0000106874995,0.000022207949],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998464,0.000072982286,0.00078376546,0.0003822601,0.00006914046,0.00022786825],"domain_scores_gemma":[0.9988555,0.00020818342,0.0006186134,0.0001180562,0.00014977896,0.000049873615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070551825,0.0001303221,0.0002713669,0.000079648315,0.00015834665,0.0000302936,0.00007216085,0.00018513369,0.000031967968],"category_scores_gemma":[0.000595479,0.0001349378,0.000056657474,0.00014831423,0.00014226882,0.00015605913,0.00003451475,0.00007162864,0.000010835672],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042315555,0.00034812072,0.93811226,0.00011034753,0.00005094413,2.8458797e-7,0.00024519692,0.01329251,0.0017531428,0.005588598,0.00016181523,0.039913617],"study_design_scores_gemma":[0.0005976604,0.00017428017,0.3423127,0.000021992191,0.000015716838,8.183055e-7,0.000028286393,0.65404665,0.00016185084,0.002408741,0.00011833799,0.00011297797],"about_ca_topic_score_codex":0.00013124153,"about_ca_topic_score_gemma":0.000011527672,"teacher_disagreement_score":0.64075416,"about_ca_system_score_codex":0.00018930904,"about_ca_system_score_gemma":0.000023059325,"threshold_uncertainty_score":0.55026037},"labels":[],"label_agreement":null},{"id":"W2160583019","doi":"","title":"USING A DISCRETE CHOICE EXPERIMENT TO ESTIMATE SOCIETAL HEALTH STATE UTILITY VALUES","year":2010,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Time-trade-off; Task (project management); Scale (ratio); Value (mathematics); Discrete choice; Population; EQ-5D; Econometrics; Actuarial science; Psychology; Statistics; Quality of life (healthcare); Mathematics; Economics; Medicine; MEDLINE; Environmental health; Geography; Political science; Health related quality of life","score_opus":0.09744224880514277,"score_gpt":0.283549918751301,"score_spread":0.1861076699461582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160583019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98352015,0.00023121346,0.006835436,0.0008283028,0.00018909655,0.00040598982,0.0006538626,0.0000413957,0.0072945557],"genre_scores_gemma":[0.95983446,0.00012859536,0.03819863,0.00017124142,0.00003741536,0.0000012304278,0.00008251138,0.000031975407,0.001513969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981974,0.000076672746,0.0004767872,0.0006616594,0.000109089575,0.00047842602],"domain_scores_gemma":[0.9984816,0.00008658807,0.00043762595,0.0006322149,0.00002253983,0.0003394874],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074747973,0.00025599136,0.0005379842,0.00017823452,0.0005196543,0.00002824916,0.00057955884,0.00008101064,0.0008846671],"category_scores_gemma":[0.00006549882,0.00035293144,0.00027780718,0.00012304884,0.0004243066,0.00031094364,0.0005219066,0.00037639466,0.00014560927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006828027,0.0016144121,0.7912543,0.00039863537,0.00093618094,0.00003536821,0.14052923,0.004683134,0.011763694,0.020264687,0.0037541192,0.02408344],"study_design_scores_gemma":[0.0024119206,0.00050648366,0.816992,0.00011013675,0.000040149695,0.0000177127,0.007993605,0.116661325,0.00031598943,0.008305966,0.045563605,0.0010811323],"about_ca_topic_score_codex":0.007883009,"about_ca_topic_score_gemma":0.002513962,"teacher_disagreement_score":0.13253562,"about_ca_system_score_codex":0.0003034179,"about_ca_system_score_gemma":0.00009341555,"threshold_uncertainty_score":0.9998923},"labels":[],"label_agreement":null},{"id":"W2160706434","doi":"10.1016/j.obhdp.2007.10.001","title":"Why more can be less: An inference-based explanation for hyper-subadditivity in bundle valuation","year":2007,"lang":"en","type":"article","venue":"Organizational Behavior and Human Decision Processes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Subadditivity; Superadditivity; Inference; Valuation (finance); Bundle; Econometrics; Economics; Value (mathematics); Computer science; Mathematical economics; Mathematics; Artificial intelligence; Machine learning","score_opus":0.1510030533674116,"score_gpt":0.30175940690107034,"score_spread":0.15075635353365874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160706434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93132323,0.00008066091,0.0676417,0.00019814243,0.00006386029,0.00033546519,0.00022076002,0.00002121693,0.00011498114],"genre_scores_gemma":[0.9963541,0.000020319812,0.0014935397,0.00048354515,0.000055761542,0.00007359708,0.0014331308,0.000025549998,0.0000604728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989159,0.000008178608,0.0004969852,0.0003395499,0.00008394843,0.00015542147],"domain_scores_gemma":[0.9993138,0.00017835438,0.00020968713,0.00012213139,0.00010704214,0.000069038244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006211986,0.00013128604,0.00018745854,0.0002740954,0.0002286145,0.00008899855,0.0001037331,0.000104462015,0.0005054391],"category_scores_gemma":[0.000284462,0.0001574386,0.000020653442,0.00022571323,0.000052283238,0.00047704848,0.000020702255,0.00005882577,0.000008556937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017146313,0.0003809067,0.97671837,0.000023043578,0.000002567635,3.2881698e-7,0.00045097285,0.00023468497,0.00020680577,0.019884432,0.000099782024,0.0019809383],"study_design_scores_gemma":[0.0010358978,0.00013846853,0.970919,0.00002009911,0.00001204555,0.0000015070997,0.00040513655,0.00048595146,0.0013026998,0.024758134,0.0006801417,0.00024089351],"about_ca_topic_score_codex":0.00012936679,"about_ca_topic_score_gemma":0.0014412367,"teacher_disagreement_score":0.06614816,"about_ca_system_score_codex":0.00016349475,"about_ca_system_score_gemma":0.000048218768,"threshold_uncertainty_score":0.642016},"labels":[],"label_agreement":null},{"id":"W2161690754","doi":"10.1017/s1355770x0300226","title":"Bioprospecting and biodiversity contracts","year":2003,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bioprospecting; Biodiversity; Property rights; Business; Natural resource economics; Host (biology); Observability; Production (economics); Economics; Industrial organization; Environmental resource management; Microeconomics; Ecology; Biology","score_opus":0.06159491350135774,"score_gpt":0.1586578721084239,"score_spread":0.09706295860706615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161690754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99020827,0.0010752324,0.00062989513,0.00012187686,0.00011164047,0.00015190331,0.000013846914,0.000015063106,0.007672288],"genre_scores_gemma":[0.99067634,0.0019625644,0.0064426116,0.0002338075,0.000013940175,0.000010733451,0.000017250462,0.000010703222,0.00063205714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989816,0.000005491175,0.00037222117,0.00041705475,0.000012254183,0.00021140433],"domain_scores_gemma":[0.9995686,0.000021573884,0.00018242566,0.00011836092,8.871658e-7,0.00010817915],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039200112,0.0001539241,0.0002280804,0.00007056001,0.00021950208,0.00005689606,0.000049036,0.00007355162,0.00055312744],"category_scores_gemma":[0.000009837328,0.00019784308,0.000022119792,0.000013150929,0.00008885783,0.00024049917,0.00006426192,0.000067881505,0.0008445928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033585618,0.000032737964,0.9500701,0.0000051441475,0.000036058915,5.936899e-7,0.00043679506,0.000044907043,0.000011850239,0.04793013,0.00003510254,0.0013932592],"study_design_scores_gemma":[0.001028566,0.000029898389,0.84139174,0.0000030460353,0.0000054059306,0.000009856384,0.0003159695,0.00012426799,0.00059534394,0.011799281,0.14425957,0.00043703738],"about_ca_topic_score_codex":0.000013715655,"about_ca_topic_score_gemma":0.0000040109962,"teacher_disagreement_score":0.14422448,"about_ca_system_score_codex":0.00017545927,"about_ca_system_score_gemma":0.0000068768622,"threshold_uncertainty_score":0.99993336},"labels":[],"label_agreement":null},{"id":"W2162236584","doi":"","title":"Choice modelling and environmental valuation: Where have we been, what’s up ahead?","year":2013,"lang":"en","type":"article","venue":"International Choice Modelling Conference 2013","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Valuation (finance); Economics; Actuarial science; Econometrics; Finance","score_opus":0.16183627324859476,"score_gpt":0.24328360060396942,"score_spread":0.08144732735537466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162236584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67096066,0.004522278,0.3132883,0.005366068,0.0018581459,0.00053026265,0.000091925,0.000052853415,0.0033295031],"genre_scores_gemma":[0.97528064,0.011602107,0.0022135372,0.00029160187,0.0003434914,0.00012496677,0.00018689023,0.00004234532,0.009914429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980216,0.000024137336,0.00076149683,0.00071662996,0.00014682498,0.00032933452],"domain_scores_gemma":[0.9989712,0.00013254126,0.0003979199,0.0002996155,0.00004215728,0.00015654389],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031681417,0.00029502524,0.00032801594,0.00017973509,0.0001687706,0.00059146277,0.00036948326,0.00017534476,0.004260498],"category_scores_gemma":[0.000015264923,0.00035871423,0.00010022706,0.000035410932,0.00011920015,0.0026296652,0.00012705839,0.00026129416,0.0023537194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015490157,0.00017957053,0.11837519,0.00003438717,0.00021555662,8.802082e-7,0.002008077,0.8439181,0.00012549019,0.026872322,0.0021211188,0.0061338563],"study_design_scores_gemma":[0.00058654125,0.000035282326,0.0046966565,0.0000667529,0.000010406232,0.0000036447511,0.0005060409,0.938958,0.000040937597,0.037448794,0.017265555,0.0003813876],"about_ca_topic_score_codex":0.0029451672,"about_ca_topic_score_gemma":0.00010713709,"teacher_disagreement_score":0.31107476,"about_ca_system_score_codex":0.0002802396,"about_ca_system_score_gemma":0.000017405264,"threshold_uncertainty_score":0.9998865},"labels":[],"label_agreement":null},{"id":"W2162528861","doi":"10.1093/wjaf/19.3.160","title":"Consumer Willingness to Pay for a Naturally Decay-Resistant Wood Product","year":2004,"lang":"en","type":"article","venue":"Western Journal of Applied Forestry","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Chromated copper arsenate; Willingness to pay; Contingent valuation; Business; Publicity; Product (mathematics); Agricultural economics; Pulp and paper industry; Preservative; Marketing; Economics; Engineering; Chemistry; Mathematics","score_opus":0.043591361196124376,"score_gpt":0.22222920407114466,"score_spread":0.17863784287502027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162528861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872651,0.00042840876,0.009809561,0.0007392096,0.0004143595,0.00035919383,0.00004555073,0.000008440064,0.00093019375],"genre_scores_gemma":[0.99380374,0.000051190334,0.005337207,0.00035836737,0.0002570462,0.000026565993,0.000007567197,0.000030177001,0.00012816221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868935,0.0000026279547,0.0007755046,0.00024705034,0.000049299622,0.00023617675],"domain_scores_gemma":[0.99904585,0.000025848798,0.0005835508,0.00018929556,0.000023564931,0.00013190527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045093647,0.00014959663,0.0003658529,0.00010837609,0.0000717134,0.000057112222,0.00023935555,0.00007367827,0.000033241042],"category_scores_gemma":[0.00001896493,0.00013413541,0.00012623087,0.0000673436,0.000035220626,0.00017502895,0.00003368535,0.00016589889,0.00015967898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028225214,0.0009964234,0.6351654,0.00038160634,0.0009067589,0.00003766383,0.004213649,0.061713483,0.0068541435,0.27310607,0.0013211141,0.0124811735],"study_design_scores_gemma":[0.009165425,0.00094137684,0.76477224,0.00019801965,0.00009513089,0.000108031934,0.0004678193,0.000056771765,0.014364185,0.15717292,0.051517144,0.0011409193],"about_ca_topic_score_codex":0.000007917425,"about_ca_topic_score_gemma":0.000012762934,"teacher_disagreement_score":0.12960684,"about_ca_system_score_codex":0.00019346633,"about_ca_system_score_gemma":0.000043168362,"threshold_uncertainty_score":0.5469883},"labels":[],"label_agreement":null},{"id":"W2162704335","doi":"10.1111/j.1530-9134.2011.00301.x","title":"Environmental Policy, Innovation and Performance: New Insights on the Porter Hypothesis","year":2011,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":962,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Porter hypothesis; Environmental policy; Incentive; Causality (physics); Test (biology); Environmental regulation; Industrial organization; Environmental compliance; Economics; Business; Public economics; Microeconomics; Environmental economics; Political science; Ecology; Biology","score_opus":0.13868791299967165,"score_gpt":0.19835664516883536,"score_spread":0.05966873216916371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162704335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948334,0.00012604463,0.0001020646,0.0003666219,0.00014555079,0.00014037802,0.0000064179626,0.0000032321668,0.050775696],"genre_scores_gemma":[0.9952171,0.0023442598,0.00038938186,0.0007473818,0.0001615241,0.0000040542322,0.0000025706715,0.000017994393,0.0011157346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988113,0.0000103677485,0.000812861,0.00018843016,0.000022283903,0.00015475128],"domain_scores_gemma":[0.998889,0.000022293809,0.00083589007,0.00019211083,0.000003450506,0.000057246027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043222515,0.00014644413,0.00023071328,0.0003792106,0.00008922492,0.000055652137,0.00019827887,0.000054775224,0.0007004506],"category_scores_gemma":[0.000006175826,0.00012993094,0.00006491762,0.00007444306,0.000060339906,0.0004615809,0.000052655723,0.00012407442,0.00023938551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000838774,0.00015188995,0.070368096,0.0000136775325,0.00029070838,0.000003624874,0.00065594283,0.0006156689,0.000012955217,0.8920728,0.0010210403,0.034709703],"study_design_scores_gemma":[0.0007058141,0.0003663613,0.82888085,0.00001167085,0.000021128257,0.000012986617,0.00059090817,0.00057252985,0.00019021469,0.16427054,0.00417771,0.00019931706],"about_ca_topic_score_codex":0.00002406132,"about_ca_topic_score_gemma":0.0000022418103,"teacher_disagreement_score":0.75851274,"about_ca_system_score_codex":0.00020458057,"about_ca_system_score_gemma":0.000014141717,"threshold_uncertainty_score":0.76694435},"labels":[],"label_agreement":null},{"id":"W2163047794","doi":"10.1111/cjag.12074","title":"The Long‐Term Impact of Positive and Negative Information on Food Demand","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Negative information; Common value auction; Term (time); Product (mathematics); Psychology; Economics; Social psychology; Microeconomics; Mathematics","score_opus":0.053123732099024115,"score_gpt":0.17426364967794516,"score_spread":0.12113991757892105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163047794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941981,0.0006728118,0.000017222485,0.0009905637,0.00060764415,0.0002472288,0.00053143955,0.0000024169412,0.0027325968],"genre_scores_gemma":[0.9992828,0.00019516867,0.000043552434,0.00012744754,0.00017792071,0.000006419573,0.000040109782,0.000012441923,0.000114172595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820644,0.000027172195,0.001133843,0.00019492378,0.000008256317,0.00042938464],"domain_scores_gemma":[0.99717075,0.00013597556,0.0014437927,0.00018147832,0.00009715302,0.00097082707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006963494,0.00023352422,0.00052363495,0.0002690374,0.0001924252,0.00017296191,0.0003033268,0.00011285564,0.000070627226],"category_scores_gemma":[0.00016357348,0.00018565817,0.00023403078,0.00007244037,0.00019195641,0.0011948829,0.000023035926,0.00020062484,0.00007282323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025270096,0.000040795607,0.7821737,0.00003559877,0.0013267846,0.00000904209,0.010326881,0.027307946,0.000005963692,0.16874968,0.0034947717,0.00627612],"study_design_scores_gemma":[0.0010599362,0.0013758441,0.9860872,0.00003214539,0.000021519207,0.00013434075,0.0010482259,0.00014838789,0.00004271437,0.009228236,0.00055801723,0.00026341467],"about_ca_topic_score_codex":0.014086737,"about_ca_topic_score_gemma":0.17151365,"teacher_disagreement_score":0.2039135,"about_ca_system_score_codex":0.0025433954,"about_ca_system_score_gemma":0.00030315883,"threshold_uncertainty_score":0.99247855},"labels":[],"label_agreement":null},{"id":"W2163071934","doi":"10.22004/ag.econ.24149","title":"Agri-environmental Policy in the European Union: Who's in Charge?","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Agriculture and Agri-Food Canada","keywords":"Externality; Subsidy; Economics; Agriculture; European union; Public economics; Argument (complex analysis); Commodity; Payment; Common Agricultural Policy; Economic interventionism; Agricultural policy; Politics; Economic policy; Market economy; Microeconomics; Geography; Finance; Political science","score_opus":0.07058137255134744,"score_gpt":0.26557700483728036,"score_spread":0.19499563228593292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163071934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6657052,0.0004580058,0.00000445367,0.001164018,0.00018956779,0.000734158,0.00020964956,0.000010988976,0.33152398],"genre_scores_gemma":[0.9850193,0.010717222,0.00007854539,0.00024411024,0.0004691727,0.00020702383,0.00035113038,0.000091656395,0.0028218238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953248,0.0007777071,0.0015778659,0.0012698973,0.00009989381,0.00094986375],"domain_scores_gemma":[0.99810266,0.00020931184,0.00043834327,0.0011458101,0.0000034164834,0.00010045435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009160921,0.00041113418,0.00073645066,0.0012915919,0.00012115864,0.00018353034,0.0011801214,0.00037622356,0.00031263643],"category_scores_gemma":[0.00011091007,0.00046980826,0.00020591731,0.00022039743,0.00032891205,0.00023196064,0.0009722731,0.0018940045,0.0005124139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017124888,0.00056528853,0.8940301,0.000069482085,0.000033133347,0.000052484993,0.0014626421,0.015745278,0.000010692806,0.005895398,0.0002481763,0.08187019],"study_design_scores_gemma":[0.0009740714,0.000045877594,0.96298915,0.00007850856,0.0000017130558,0.000006089427,0.0005546941,0.0041251276,0.0000051775733,0.008916897,0.021807933,0.0004947376],"about_ca_topic_score_codex":0.0024616935,"about_ca_topic_score_gemma":0.0017179355,"teacher_disagreement_score":0.32870215,"about_ca_system_score_codex":0.003398928,"about_ca_system_score_gemma":0.000085725405,"threshold_uncertainty_score":0.99977535},"labels":[],"label_agreement":null},{"id":"W2163496953","doi":"10.1080/01441640902829454","title":"Numerical Analysis of the Statistical Properties of Uniform Design in Stated Choice Modelling","year":2009,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Orthogonality; Estimator; Design of experiments; Variance (accounting); Orthogonal array; Fractional factorial design; Mathematical optimization; Monte Carlo method; Computer science; Optimal design; Econometrics; Scale (ratio); Covariance matrix; Measure (data warehouse); Covariance; Taguchi methods; Factorial; Mathematics; Factorial experiment; Statistics; Algorithm; Economics; Data mining","score_opus":0.2219103099088347,"score_gpt":0.251536241719039,"score_spread":0.029625931810204287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163496953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69446605,0.0050428226,0.29920048,0.00007958937,0.000023249448,0.00043860512,0.000049884577,0.0000038281096,0.0006954673],"genre_scores_gemma":[0.9945363,0.002603233,0.0027321193,0.000052776566,0.0000032712392,0.000008150063,0.000016703778,0.000004277269,0.000043208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987295,0.000026727876,0.0009606567,0.00015532567,0.000025707173,0.000102028636],"domain_scores_gemma":[0.9994631,0.000017284538,0.00030704087,0.00018686155,0.0000044544704,0.000021289985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006501687,0.00007973813,0.0005723538,0.00009878248,0.000014900401,0.0000020891587,0.00011741272,0.00003364902,0.0001855642],"category_scores_gemma":[0.0000138060595,0.00006157568,0.00013544918,0.00035359446,0.000038826962,0.00007889293,0.0000024112167,0.00006332305,0.000013822337],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021868924,0.00018216441,0.46612796,0.00007977328,0.000093585906,2.3277912e-7,0.0006898317,0.5215347,0.00007156188,0.008468922,0.000010826443,0.0027185862],"study_design_scores_gemma":[0.00022358487,0.000046480433,0.7716421,0.00005297067,0.00012254158,1.0909062e-7,0.000012822815,0.2250609,0.00022197653,0.0013676515,0.0011294751,0.00011938107],"about_ca_topic_score_codex":0.00039355396,"about_ca_topic_score_gemma":0.000031880187,"teacher_disagreement_score":0.30551416,"about_ca_system_score_codex":0.000049144328,"about_ca_system_score_gemma":0.000008139105,"threshold_uncertainty_score":0.25109833},"labels":[],"label_agreement":null},{"id":"W2163575929","doi":"10.1509/jmkr.46.5.584","title":"Learning from a Service Guarantee Quasi Experiment","year":2009,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive; Service (business); Odds; Regression discontinuity design; Computer science; Population; Argument (complex analysis); Service quality; Bayesian probability; Control (management); Quality (philosophy); Marketing; Operations research; Business; Microeconomics; Economics; Engineering; Machine learning; Artificial intelligence","score_opus":0.20279083824114766,"score_gpt":0.3167600851981298,"score_spread":0.11396924695698216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163575929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98529035,0.0019599881,0.00022600906,0.0023228384,0.00011909376,0.00006762393,0.0000022713123,0.000005161408,0.01000667],"genre_scores_gemma":[0.9975567,0.0007237162,0.0007354328,0.00016792178,0.00026568837,0.0000016701981,0.00000251318,0.000010974411,0.00053537433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984977,0.00025835907,0.000649327,0.00017865405,0.00012548054,0.0002904554],"domain_scores_gemma":[0.9988544,0.0004915559,0.00039402262,0.00013641537,0.000059963724,0.000063613945],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012312499,0.00007810106,0.0002495534,0.00023466804,0.00014328513,0.00007897919,0.00025121446,0.00006350544,0.0009787213],"category_scores_gemma":[0.00086532714,0.00008454733,0.00008708539,0.00014570594,0.000025071475,0.00022713242,0.000049547565,0.000550824,0.00039939597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002854582,0.0016379722,0.84883976,0.000068869456,0.00039451843,0.00009233531,0.013917185,0.006197741,0.00930671,0.010336724,0.011559839,0.09479378],"study_design_scores_gemma":[0.0015104653,0.0007916605,0.94088686,0.0001468709,0.0000055528867,0.000018856263,0.0037268917,0.008531587,0.00051568355,0.020521918,0.023099672,0.00024399259],"about_ca_topic_score_codex":0.00009732128,"about_ca_topic_score_gemma":0.0000032245082,"teacher_disagreement_score":0.09454979,"about_ca_system_score_codex":0.00029705808,"about_ca_system_score_gemma":0.000024437477,"threshold_uncertainty_score":0.9999345},"labels":[],"label_agreement":null},{"id":"W2163920168","doi":"10.1111/hex.12062","title":"Preferences for a third‐trimester ultrasound scan in a low‐risk obstetric population: a discrete choice experiment","year":2013,"lang":"en","type":"article","venue":"Health Expectations","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Medicine; Pregnancy; Population; Mixed logit; Preference; Logistic regression; Obstetrics; Family medicine; Demography; Environmental health; Economics","score_opus":0.08796857949832013,"score_gpt":0.2875577244001798,"score_spread":0.19958914490185967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163920168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887318,0.004527835,0.0018527696,0.00087610126,0.00029743274,0.0016268012,0.0001286713,0.000033083455,0.0019254945],"genre_scores_gemma":[0.99431753,0.0002155132,0.0028976623,0.00030771233,0.00007763647,0.0015636542,0.00018175476,0.000018772009,0.0004197701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984514,0.000038186954,0.00077793,0.0003858868,0.000036824797,0.00030975163],"domain_scores_gemma":[0.9988627,0.00034440076,0.00044566812,0.00022456725,0.000011481513,0.000111209374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016988038,0.00013658538,0.00028451544,0.0002583443,0.00021073477,0.00007871344,0.00010752612,0.000062425024,0.0003087804],"category_scores_gemma":[0.00020596084,0.00015607837,0.00007731645,0.00021174531,0.000026061045,0.00044900348,0.000016603699,0.00009248448,0.00044043065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064931546,0.00017002897,0.9786419,0.000056733068,0.000023234017,4.5452186e-8,0.010402919,0.0011111044,0.0000055146506,0.007069282,0.0016037242,0.00090896833],"study_design_scores_gemma":[0.0008735516,0.000112092064,0.978944,0.000024512141,0.0000025607333,6.783617e-7,0.003296294,0.0035318725,0.00001286404,0.012528917,0.00047515123,0.0001975281],"about_ca_topic_score_codex":0.005384858,"about_ca_topic_score_gemma":0.00042759714,"teacher_disagreement_score":0.007106625,"about_ca_system_score_codex":0.0004847648,"about_ca_system_score_gemma":0.000034384942,"threshold_uncertainty_score":0.8140331},"labels":[],"label_agreement":null},{"id":"W2164078287","doi":"10.1111/j.1744-7976.2009.01158.x","title":"Consumer Valuations of Beef Steak Food Safety Enhancement in Canada, Japan, Mexico, and the United States","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food safety; Welfare economics; Geography; Humanities; Agricultural science; Political science; Economics; Philosophy; Food science","score_opus":0.039918488103160184,"score_gpt":0.15757778153134627,"score_spread":0.1176592934281861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164078287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98772067,0.001995022,0.000023561455,0.0077162897,0.00049628975,0.0003714243,0.000476411,0.0000017430948,0.0011985652],"genre_scores_gemma":[0.99745,0.0010438092,0.00009500248,0.0010215708,0.000081785554,0.0000098981445,0.0001129542,0.000013530622,0.00017143693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720085,0.000051413026,0.0018623221,0.00032293313,0.000012300925,0.00055018294],"domain_scores_gemma":[0.9975799,0.00018188728,0.0013396572,0.00023947911,0.00006520945,0.0005938692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009835805,0.000267021,0.0008533438,0.0004007438,0.00016617023,0.00006480472,0.0003925114,0.000089643996,0.0003900503],"category_scores_gemma":[0.0000932307,0.00023709828,0.00015499142,0.00016287537,0.00019895178,0.00039118904,0.000020049218,0.00026211303,0.000015384709],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023717627,0.00007659579,0.43968612,0.00005717248,0.0008147917,0.000012187518,0.008060405,0.12279984,0.000016286098,0.42072228,0.0035818734,0.003935275],"study_design_scores_gemma":[0.003246509,0.00034372773,0.96161824,0.000056157758,0.000048561484,0.00008133433,0.004414532,0.0019729736,0.00005944164,0.017282628,0.010420592,0.0004552901],"about_ca_topic_score_codex":0.8544936,"about_ca_topic_score_gemma":0.99552923,"teacher_disagreement_score":0.5219321,"about_ca_system_score_codex":0.0041602827,"about_ca_system_score_gemma":0.0007903889,"threshold_uncertainty_score":0.9996626},"labels":[],"label_agreement":null},{"id":"W2164280988","doi":"10.21083/surg.v6i1.2019","title":"Tourism in Kenya's national parks: A cost-benefit analysis","year":2012,"lang":"en","type":"article","venue":"SURG Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Tourism; Popularity; Wildlife; Business; Cost–benefit analysis; Natural resource economics; Environmental planning; Environmental resource management; Biodiversity; Environmental protection; Geography; Economics; Political science; Ecology","score_opus":0.08723870909316309,"score_gpt":0.2405222172618167,"score_spread":0.1532835081686536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164280988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97082436,0.001683774,0.0015445945,0.00032271043,0.00041099652,0.00006829585,0.00003576214,0.0000056978092,0.025103837],"genre_scores_gemma":[0.9977645,0.0004057868,0.00038978577,0.00020317631,0.0003836987,0.000009197901,0.000020480938,0.000009645352,0.00081372086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989769,0.000015836697,0.0005413008,0.00013489432,0.000052350064,0.0002787437],"domain_scores_gemma":[0.9994529,0.000040676434,0.00029035955,0.000087945045,0.000010402564,0.000117712974],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016729735,0.000088135435,0.00024939544,0.00046069012,0.00007757157,0.00005183171,0.00010059129,0.00006570343,0.0036260088],"category_scores_gemma":[0.000035034893,0.000102495855,0.00016415762,0.0002462267,0.000020489442,0.0005053146,0.000024176563,0.00017762148,0.00072121905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045091406,0.000070933624,0.9851408,9.799065e-7,0.000118738295,0.0000015952369,0.00013007372,0.0026662415,0.0000018142268,0.009911602,0.0007339627,0.0012187602],"study_design_scores_gemma":[0.00040341367,0.000008520402,0.96703804,0.0000028621757,0.000016286223,0.000011898752,0.00005906921,0.0018825951,0.00000821441,0.011447806,0.018986918,0.00013438099],"about_ca_topic_score_codex":0.000059871858,"about_ca_topic_score_gemma":0.000033061096,"teacher_disagreement_score":0.026940176,"about_ca_system_score_codex":0.00042369543,"about_ca_system_score_gemma":0.000011525259,"threshold_uncertainty_score":0.9972848},"labels":[],"label_agreement":null},{"id":"W2165364063","doi":"","title":"A rational model of preference learning and choice prediction by children","year":2008,"lang":"en","type":"article","venue":"Max Planck Digital Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Air Force Office of Scientific Research; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Preference; Generalization; Preference learning; Revealed preference; Artificial intelligence; Computer science; Simple (philosophy); Machine learning; Discrete choice; Econometric model; Cognitive psychology; Psychology; Econometrics; Economics; Epistemology; Microeconomics","score_opus":0.05861580380668899,"score_gpt":0.15796038138594298,"score_spread":0.099344577579254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165364063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96635073,0.0004428766,0.00076786004,0.000045428704,0.000024303792,0.00008399297,0.002114555,0.000030508398,0.030139718],"genre_scores_gemma":[0.99513745,0.00019892954,0.00025622846,0.000043970213,0.000034147386,0.000007025614,0.0012572755,0.000012036504,0.003052949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943775,0.0000030361527,0.00025702373,0.0001928823,0.000022339063,0.00008695143],"domain_scores_gemma":[0.9997471,0.00002201235,0.00013140906,0.000059572583,0.0000013529793,0.00003858041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028619952,0.000074784635,0.00013129109,0.000045013057,0.0000558953,0.000034658613,0.000054953714,0.000049000282,0.0001400303],"category_scores_gemma":[0.000012760033,0.00009024331,0.000024986013,0.000031674655,0.000051469357,0.0013458864,0.000047592053,0.00006917018,0.00007959138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006921792,0.00003151289,0.9937259,0.000004741367,0.000012073054,7.0737244e-8,0.00004693919,0.0012075296,0.00002114639,0.0022638359,0.0024754822,0.00020386005],"study_design_scores_gemma":[0.00040143513,0.000060176037,0.9519936,0.0000064183228,0.000001752304,0.000006650631,0.000006283701,0.038184747,0.00010059296,0.006386376,0.002721978,0.00012998782],"about_ca_topic_score_codex":0.0000042964366,"about_ca_topic_score_gemma":7.801796e-8,"teacher_disagreement_score":0.041732285,"about_ca_system_score_codex":0.000011501407,"about_ca_system_score_gemma":0.00000794979,"threshold_uncertainty_score":0.36800155},"labels":[],"label_agreement":null},{"id":"W2165557792","doi":"10.5539/enrr.v3n1p62","title":"Estimation of the Tourism Benefits of Kakamega Forest, Kenya: A Travel Cost Approach","year":2012,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Katholischer Akademischer Ausländer-Dienst","keywords":"Recreation; Tourism; Business; Wildlife; Estimation; Cost–benefit analysis; Geography; Forest management; Natural resource economics; Environmental resource management; Forestry; Economics; Ecology","score_opus":0.1018540665794782,"score_gpt":0.25548091092767033,"score_spread":0.15362684434819213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165557792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98682237,0.008499376,0.00016522978,0.00012612603,0.000053974418,0.0003704827,0.000030779534,0.0000022897677,0.003929391],"genre_scores_gemma":[0.9973259,0.0006979785,0.00043486452,0.000013305946,0.000059883998,0.000028356362,0.000013872975,0.000012298082,0.001413571],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989561,0.00005147389,0.0003694412,0.00020126379,0.00013815826,0.00028355868],"domain_scores_gemma":[0.9993869,0.00010188954,0.0001986676,0.00024308919,0.0000036513586,0.00006577545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011879632,0.00009743089,0.00021181213,0.000121434496,0.00012707285,0.000013109518,0.00019429516,0.00008588564,0.00011397751],"category_scores_gemma":[0.000059921505,0.00007983499,0.000070857335,0.00010020946,0.00031226323,0.00018200428,0.00018324134,0.00023432286,0.000038034752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037686856,0.00020132547,0.9617137,0.000058635083,0.00004162854,5.40523e-8,0.0020915996,0.005351442,0.00021766791,0.014543026,0.00021728747,0.015526001],"study_design_scores_gemma":[0.0003364306,0.000042204032,0.9861791,0.000011663227,0.000004229547,0.0000013831674,0.00026695852,0.009574033,0.00086999795,0.000984689,0.0016405336,0.000088749715],"about_ca_topic_score_codex":0.00009253743,"about_ca_topic_score_gemma":0.0000017565826,"teacher_disagreement_score":0.02446548,"about_ca_system_score_codex":0.00009753575,"about_ca_system_score_gemma":0.0000027909723,"threshold_uncertainty_score":0.32555762},"labels":[],"label_agreement":null},{"id":"W2165801439","doi":"","title":"Preferences over the Fair Division of Goods: Information, Good, and Sample Effects in a Health Context","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Context (archaeology); Sample (material); Ranking (information retrieval); Maximization; Economics; Health care; Public economics; Psychology; Actuarial science; Microeconomics; Computer science","score_opus":0.0758746061575341,"score_gpt":0.2848229088828806,"score_spread":0.20894830272534648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165801439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98619497,0.0012717856,0.00007520369,0.000415484,0.00022212484,0.0012671984,0.00028427248,0.000009515965,0.010259457],"genre_scores_gemma":[0.9622032,0.03677432,0.00043623452,0.00019286142,0.000030225798,0.0001907893,0.000088874156,0.00002070021,0.0000627914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99732715,0.00014759741,0.0014760836,0.00052578346,0.00007195671,0.00045140806],"domain_scores_gemma":[0.99741083,0.0010924924,0.0008042562,0.0005799763,0.000014316502,0.00009813566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028808338,0.00023477526,0.000726036,0.00052415696,0.00012985001,0.000080409955,0.0004237987,0.00026405527,0.00006555077],"category_scores_gemma":[0.0006134202,0.00023695898,0.00010251364,0.00010713372,0.0003355152,0.00036045417,0.0006809965,0.0007818929,0.000022355569],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036021876,0.000120671364,0.82907623,0.000492769,0.00005630251,4.7739854e-7,0.0033573718,0.009660946,6.719214e-7,0.011621048,0.000075767144,0.1455017],"study_design_scores_gemma":[0.0011348063,0.00016292564,0.9419305,0.00024142672,0.000001403844,0.0000015241526,0.0007492837,0.017880311,0.000008232612,0.029375419,0.008236557,0.0002776535],"about_ca_topic_score_codex":0.003917228,"about_ca_topic_score_gemma":0.0010374384,"teacher_disagreement_score":0.14522405,"about_ca_system_score_codex":0.00082864665,"about_ca_system_score_gemma":0.00015755823,"threshold_uncertainty_score":0.96629065},"labels":[],"label_agreement":null},{"id":"W2166124611","doi":"10.1111/j.1468-0335.2007.00671.x","title":"Non‐Deteriorating Choice","year":2008,"lang":"en","type":"article","venue":"Economica","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University; Southern Methodist University; Pennsylvania State University; University of British Columbia; York University; Rice University; Princeton University","keywords":"Generalization; Set (abstract data type); Function (biology); Choice set; Computer science; Mathematical economics; Mathematical optimization; Economics; Econometrics; Mathematics","score_opus":0.11881714124137233,"score_gpt":0.20553010249975792,"score_spread":0.0867129612583856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166124611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9093238,0.00017052014,0.00028704037,0.00024544375,0.00033034608,0.000118071344,0.000024852116,0.000034773988,0.08946511],"genre_scores_gemma":[0.99483705,0.000098871824,0.0010839467,0.00046248132,0.00022761563,0.000027801174,0.000019106952,0.000027235443,0.0032159244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883753,0.000004312474,0.0005341392,0.0003783617,0.0000097874845,0.00023584852],"domain_scores_gemma":[0.9993471,0.000026635522,0.0002589039,0.0002843413,0.0000028149948,0.00008020089],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019925156,0.00013044103,0.00028011887,0.000084441526,0.00017512555,0.000027599272,0.00016966238,0.00007163936,0.0026249918],"category_scores_gemma":[0.000022153612,0.0001757974,0.000097902775,0.00003854674,0.000071771574,0.0003690444,0.000057367477,0.00009201228,0.012855091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033955414,0.000039554005,0.9890997,0.0000053092203,0.000027570286,0.0000017859215,0.00036523206,0.00033235355,0.00013084289,0.0065942844,0.0030356522,0.0003643089],"study_design_scores_gemma":[0.00060076854,0.000046690548,0.9414295,0.0000035609198,0.0000022144402,0.000013856727,0.00003253189,0.004260932,0.0002900268,0.0025258597,0.05047509,0.00031896067],"about_ca_topic_score_codex":0.00014835651,"about_ca_topic_score_gemma":0.000012044024,"teacher_disagreement_score":0.08624919,"about_ca_system_score_codex":0.0001849917,"about_ca_system_score_gemma":0.000010690108,"threshold_uncertainty_score":0.9982867},"labels":[],"label_agreement":null},{"id":"W2167075948","doi":"10.1111/j.1744-7976.2003.tb00163.x","title":"Producer Willingness to Pay for Precision Application Technology: Implications for Government and the Technology Industry","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Johns Hopkins University","keywords":"Subsidy; Willingness to pay; Contingent valuation; Government (linguistics); Agriculture; Valuation (finance); Environmental economics; Business; Quality (philosophy); Agricultural economics; Economics; Public economics; Natural resource economics; Marketing; Microeconomics; Finance; Market economy","score_opus":0.040354275331268195,"score_gpt":0.1799052258394414,"score_spread":0.1395509505081732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167075948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95018274,0.0005862798,0.0025622,0.043480113,0.00057543075,0.0016026248,0.00062133325,0.0000071904433,0.00038211403],"genre_scores_gemma":[0.9958015,0.00008628822,0.002276303,0.00042887652,0.00022081054,0.00056562235,0.000020498244,0.00002690528,0.00057316665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980075,0.000011215794,0.0010108845,0.0004734503,0.000005093354,0.0004918909],"domain_scores_gemma":[0.9981295,0.00012799226,0.0008743024,0.00032760648,0.0000824551,0.00045812846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009907134,0.00022350861,0.00054883776,0.00024971095,0.00036391028,0.000097132935,0.00041138707,0.000310375,0.000031708256],"category_scores_gemma":[0.0004106616,0.00017682851,0.00015391168,0.0001700259,0.00016175842,0.00028114408,0.000022647706,0.000252573,0.000019060108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003761258,0.000015698628,0.11016264,0.000019379984,0.00012285585,1.6588974e-7,0.00027579934,0.0023334196,0.000043031563,0.88075465,0.0012605148,0.004974225],"study_design_scores_gemma":[0.0037455678,0.00048945716,0.28944507,0.000044496057,0.00009248059,0.00022696606,0.0022387316,0.00034041505,0.00047472125,0.38080677,0.3213342,0.00076109904],"about_ca_topic_score_codex":0.0008323693,"about_ca_topic_score_gemma":0.047622383,"teacher_disagreement_score":0.49994788,"about_ca_system_score_codex":0.0017282285,"about_ca_system_score_gemma":0.00018050139,"threshold_uncertainty_score":0.969756},"labels":[],"label_agreement":null},{"id":"W2167930656","doi":"10.22004/ag.econ.24808","title":"THE FAST DECAY PROCESS IN RECREATIONAL DEMAND ACTIVITIES AND THE USE OF ALTERNATIVE COUNT DATA MODELS","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Count data; Recreation; Process (computing); Environmental science; Computer science; Statistics; Mathematics; Operating system; Ecology; Biology","score_opus":0.30042387178585866,"score_gpt":0.2539665007439418,"score_spread":0.046457371041916884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167930656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99167603,0.0010421705,0.0027589896,0.0007664404,0.00006334149,0.00044210488,0.0012507861,0.0000027372319,0.0019974024],"genre_scores_gemma":[0.9832951,0.014816878,0.00034240092,0.00001626652,0.000018086595,0.0000028028824,0.00011716131,0.000009651841,0.001381647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891657,0.00009060453,0.00031340975,0.0004270074,0.00008762225,0.0001648045],"domain_scores_gemma":[0.99840087,0.0005109178,0.0004871726,0.00053503545,0.000028422677,0.000037557642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012014661,0.00013425967,0.00039476957,0.00015033114,0.00017166878,0.00005079578,0.00067418977,0.00011325007,0.00022046761],"category_scores_gemma":[0.00003434066,0.00013052412,0.00006135405,0.00006549946,0.00074498693,0.0007850742,0.0008334921,0.00027646747,0.000014936826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012694176,0.0006126787,0.34069225,0.0008661665,0.0015565524,0.00001844909,0.06722508,0.34090093,0.000013480754,0.22129653,0.0024839803,0.023064477],"study_design_scores_gemma":[0.002237416,0.000046141744,0.10855354,0.00013697302,0.00003494133,0.0000027294293,0.006185678,0.8603153,0.000033633987,0.020408053,0.0017461347,0.0002994589],"about_ca_topic_score_codex":0.0035068511,"about_ca_topic_score_gemma":0.0015542206,"teacher_disagreement_score":0.51941437,"about_ca_system_score_codex":0.00012694145,"about_ca_system_score_gemma":0.000038317925,"threshold_uncertainty_score":0.5322619},"labels":[],"label_agreement":null},{"id":"W2168207491","doi":"10.1016/s0195-9255(02)00017-3","title":"Eliciting public preferences for municipal water supply options","year":2002,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Simon Fraser University","funders":"","keywords":"Thunder; Taste; Water supply; Preference; Multivariate statistics; Point (geometry); Compensation (psychology); Process (computing); Water pressure; Business; Environmental science; Environmental economics; Environmental engineering; Economics; Geography; Computer science; Mathematics; Statistics; Psychology; Microeconomics","score_opus":0.21065565379453402,"score_gpt":0.306989781755958,"score_spread":0.09633412796142396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168207491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92227364,0.0612134,0.0008999041,0.0019347809,0.00020373431,0.0015045464,0.00046589447,0.00004513495,0.011458951],"genre_scores_gemma":[0.9232818,0.072842605,0.0014916689,0.0007084731,0.000077396006,0.00035415633,0.0005251108,0.000034024728,0.0006847936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982149,0.000040021983,0.00076996913,0.00043431149,0.00006268902,0.00047808577],"domain_scores_gemma":[0.9991542,0.00004283576,0.00027594893,0.00037267726,0.0000019521744,0.00015237229],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006942754,0.0002568313,0.0004962657,0.00008374276,0.00021135919,0.00008834259,0.00024813268,0.00007070609,0.028412541],"category_scores_gemma":[0.000016441909,0.00022343866,0.00030828887,0.00004675376,0.00007426468,0.0006437789,0.000101213984,0.00013641603,0.0023904184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004564443,0.001266152,0.9313243,0.0006458819,0.00044178253,0.0000019534389,0.00064758427,0.00019378068,0.00081634644,0.009173039,0.008148303,0.04733633],"study_design_scores_gemma":[0.002567548,0.00095096324,0.70154035,0.00061709865,0.00019051527,0.00003733506,0.00032966628,0.014221143,0.00032232003,0.013259766,0.26408133,0.0018819597],"about_ca_topic_score_codex":0.000030685387,"about_ca_topic_score_gemma":0.0000028173008,"teacher_disagreement_score":0.25593302,"about_ca_system_score_codex":0.00059233623,"about_ca_system_score_gemma":0.0000034481984,"threshold_uncertainty_score":0.9983863},"labels":[],"label_agreement":null},{"id":"W2168408824","doi":"10.1111/j.1465-7287.2007.00072.x","title":"WILLINGNESS TO PAY FOR AMATEUR SPORT AND RECREATION PROGRAMS","year":2007,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Recreation; Willingness to pay; Contingent valuation; Economics; Estimation; League; Amateur; Nonmarket forces; Valuation (finance); Agricultural economics; Public economics; Geography; Microeconomics; Finance; Political science","score_opus":0.12069676339552585,"score_gpt":0.2677700860615567,"score_spread":0.14707332266603088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168408824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694917,0.00044289057,0.005137449,0.0014227423,0.00038217966,0.0010377843,0.000099955556,0.00006043571,0.021924833],"genre_scores_gemma":[0.9942486,0.00008947479,0.0014311194,0.0007818206,0.0004962962,0.00011465237,0.00015070566,0.00004235476,0.0026449594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837124,0.0000027321678,0.0007814103,0.0005007891,0.000013120342,0.00033069632],"domain_scores_gemma":[0.99917054,0.000027435019,0.00032620216,0.00025767615,0.000006720762,0.00021143003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010802712,0.00018395435,0.00038500558,0.00022643365,0.00010656357,0.00007231752,0.00014251281,0.00010747403,0.000048537222],"category_scores_gemma":[0.000021956566,0.00020678446,0.000086776294,0.00006345376,0.00004749425,0.00040856644,0.000053774325,0.00006172809,0.000515069],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006643717,0.00003964538,0.8483111,0.000023816865,0.0000355229,7.2028683e-7,0.00040631928,0.000038701797,0.000016986918,0.13959815,0.0010437025,0.0104189],"study_design_scores_gemma":[0.0012784945,0.00022141753,0.64651906,0.000019392457,0.000005252846,0.000006469381,0.00019898888,0.0009711396,0.00027333503,0.026445128,0.3235728,0.000488499],"about_ca_topic_score_codex":0.00095868786,"about_ca_topic_score_gemma":0.000065067856,"teacher_disagreement_score":0.3225291,"about_ca_system_score_codex":0.00037096732,"about_ca_system_score_gemma":0.000050818435,"threshold_uncertainty_score":0.8432426},"labels":[],"label_agreement":null},{"id":"W2168413301","doi":"10.1515/jbca-2013-0016","title":"The most appropriate discount rate","year":2013,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Social discount rate; Economics; Pareto principle; Rate of return; Discounting; Time preference; Preference; Government (linguistics); Microeconomics; Cost–benefit analysis; Actuarial science; Operations management; Finance","score_opus":0.03629818199424466,"score_gpt":0.2061210276010885,"score_spread":0.16982284560684385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168413301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907629,0.001382692,0.003246645,0.0017103062,0.0002597638,0.00011708747,0.000022527107,0.0000036951585,0.0024944048],"genre_scores_gemma":[0.9970759,0.0011103014,0.00024732374,0.00017029347,0.00013972938,0.000011715721,0.000010400906,0.000012581787,0.0012217178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985553,0.000018301296,0.0009998657,0.00016408434,0.00005472209,0.00020770138],"domain_scores_gemma":[0.99835455,0.000077298064,0.00115603,0.00027129677,0.00004583109,0.000094976065],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011857641,0.000119922785,0.0004156858,0.00024908374,0.00019020765,0.00021534912,0.00029608837,0.00005344648,0.0010775824],"category_scores_gemma":[0.00005719191,0.00008990502,0.00038743753,0.0003914964,0.00005260925,0.00048104834,0.000040404764,0.00014965108,0.0009135383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003265065,0.00016023201,0.90385926,0.0000073655306,0.0037762877,0.0000035752544,0.0004302288,0.04444526,0.0002727603,0.028500685,0.0024855642,0.016026113],"study_design_scores_gemma":[0.0004913447,0.000053033084,0.9376491,0.000005169723,0.00030512232,0.00000504319,0.0003349271,0.01962033,0.0001017886,0.033877257,0.0073480858,0.00020881354],"about_ca_topic_score_codex":0.0002723709,"about_ca_topic_score_gemma":0.0000681885,"teacher_disagreement_score":0.03378981,"about_ca_system_score_codex":0.00017302242,"about_ca_system_score_gemma":0.000009226473,"threshold_uncertainty_score":0.99986434},"labels":[],"label_agreement":null},{"id":"W2168461751","doi":"10.5539/jsd.v4n2p91","title":"Economic Valuation of Nature-Based Tourism Object in Rawapening, Indonesia: An Application of Travel Cost and Contingent Valuation Method","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Tourism; Valuation (finance); Willingness to pay; Economic surplus; Value (mathematics); Business; Total economic value; Natural resource; Economics; Natural heritage; Environmental economics; Natural resource economics; Marketing; Geography; Microeconomics; Welfare; Ecology; Ecosystem services; Statistics","score_opus":0.0502042156511619,"score_gpt":0.24876664036264765,"score_spread":0.19856242471148575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168461751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9035995,0.00037129587,0.09503679,0.000043350396,0.00007321815,0.00045077634,0.0000036134672,0.0000020064065,0.0004194696],"genre_scores_gemma":[0.9773778,0.000056766534,0.022414181,0.00003065506,0.000022439071,0.00003255771,0.000014390329,0.000014013412,0.00003723444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810195,0.00006455641,0.0013773052,0.00020732095,0.00007187084,0.00017698342],"domain_scores_gemma":[0.9978503,0.000054161254,0.0018164926,0.00012869477,0.00008967578,0.000060680843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004169674,0.00012472397,0.00044681717,0.00054480485,0.00004504122,0.000013569476,0.00013495461,0.00014131,0.000054791053],"category_scores_gemma":[0.00005650472,0.00014359002,0.000056484598,0.000104737206,0.00003623154,0.00043355563,0.00002941916,0.00015794298,0.0000031539037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001942193,0.00034649656,0.94674873,0.0001418254,0.000090046786,0.0000047403455,0.006244081,0.0050990423,0.0005412947,0.028982382,0.000011539489,0.011595604],"study_design_scores_gemma":[0.0017355437,0.0001707967,0.96282285,0.000024326377,0.000015842894,0.0000048945867,0.0028902136,0.009594641,0.013126938,0.009340348,0.00012885054,0.00014473776],"about_ca_topic_score_codex":0.00021003844,"about_ca_topic_score_gemma":0.000024456198,"teacher_disagreement_score":0.07377828,"about_ca_system_score_codex":0.0006857715,"about_ca_system_score_gemma":0.00020302765,"threshold_uncertainty_score":0.5855431},"labels":[],"label_agreement":null},{"id":"W2168490467","doi":"10.1002/aqc.990","title":"A multi‐attribute trade‐off approach for advancing the management of marine wildlife tourism: a quantitative assessment of heterogeneous visitor preferences","year":2008,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wildlife; Wildlife tourism; Visitor pattern; Tourism; Environmental resource management; Preference; Business; Marketing; Population; Wildlife management; Recreation; Geography; Wildlife conservation; Environmental planning; Ecology; Economics; Computer science","score_opus":0.09070868901483786,"score_gpt":0.2506582819684325,"score_spread":0.15994959295359462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168490467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9456526,0.00019335376,0.05217707,0.00035537867,0.00010567768,0.0010067831,0.0001422238,0.000009929327,0.00035698555],"genre_scores_gemma":[0.9503605,0.0004669868,0.048297826,0.00010302069,0.000026762616,0.00022766294,0.00024105674,0.000014963134,0.00026125455],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852365,0.000040180035,0.00091375277,0.00029441502,0.00005888386,0.00016912173],"domain_scores_gemma":[0.99895585,0.00012336345,0.0006343012,0.00022985047,0.000017310977,0.000039303297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067673373,0.00015100103,0.00043574796,0.00008813195,0.00011487852,0.000017990607,0.00013665036,0.00005128404,0.000083304665],"category_scores_gemma":[0.000014375072,0.00013027884,0.000088058565,0.00008152561,0.00007327715,0.00015549881,0.000104749546,0.00005283618,0.000003360518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021584203,0.00013502156,0.9940954,0.00035466618,0.00027293863,8.50944e-7,0.00043332847,0.0010531085,0.000034885416,0.002815592,0.00027028506,0.00051236746],"study_design_scores_gemma":[0.0013760962,0.00021648553,0.18323418,0.000033026176,0.00004387488,0.000007991531,0.0004596605,0.811247,0.000085385946,0.0008466319,0.0022745312,0.00017512262],"about_ca_topic_score_codex":0.0035615005,"about_ca_topic_score_gemma":0.002367947,"teacher_disagreement_score":0.8108612,"about_ca_system_score_codex":0.00006040044,"about_ca_system_score_gemma":0.000013079704,"threshold_uncertainty_score":0.5383947},"labels":[],"label_agreement":null},{"id":"W2169862095","doi":"10.1002/hec.724","title":"Revealed preference valuation compared to contingent valuation: radon‐induced lung cancer prevention","year":2002,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Contingent valuation; Valuation (finance); Revealed preference; Economics; Actuarial science; Confidence interval; Willingness to pay; Econometrics; Medicine; Microeconomics; Finance; Internal medicine","score_opus":0.40762566496764124,"score_gpt":0.3173594350995506,"score_spread":0.09026622986809063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169862095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782549,0.0025409092,0.006080076,0.0062116515,0.001144169,0.0017651807,0.00012335209,0.000068558766,0.0038111878],"genre_scores_gemma":[0.99085814,0.0023053847,0.0016696819,0.0022848635,0.00027337056,0.0004442424,0.00010684886,0.000046120764,0.00201137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720925,0.00007830215,0.0014413459,0.00073955994,0.000049878756,0.00048166484],"domain_scores_gemma":[0.99820125,0.000049531092,0.0009903443,0.0004577049,0.000030019522,0.00027117043],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014585593,0.00024881202,0.00060335477,0.00022097133,0.00027779402,0.00009016296,0.0002315187,0.00012382065,0.0025615266],"category_scores_gemma":[0.000061057486,0.0003445512,0.00012232852,0.00014120953,0.000023721654,0.00044525423,0.00006978608,0.00015697657,0.0017625983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011545385,0.00090677827,0.7295399,0.00047392034,0.00040064598,0.0000010426351,0.010592272,0.050900575,0.00007817103,0.08569424,0.024536468,0.09676057],"study_design_scores_gemma":[0.002653045,0.00027623496,0.57025987,0.00011369074,0.000028822953,0.000003348342,0.00017103662,0.39784765,0.000066514,0.011320442,0.016481914,0.0007774255],"about_ca_topic_score_codex":0.000517872,"about_ca_topic_score_gemma":0.0003599349,"teacher_disagreement_score":0.34694707,"about_ca_system_score_codex":0.0017464072,"about_ca_system_score_gemma":0.0000685824,"threshold_uncertainty_score":0.99990064},"labels":[],"label_agreement":null},{"id":"W2170223075","doi":"10.1093/heapol/czp016","title":"Determinants of health care demand in poor, rural China: the case of Gansu Province","year":2009,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"China; Multinomial logistic regression; Health care; Business; Income elasticity of demand; Rural area; Public health; Socioeconomics; Environmental health; Economic growth; Public economics; Economics; Medicine; Geography; Nursing; Labour economics","score_opus":0.07410363290852173,"score_gpt":0.32099123555611464,"score_spread":0.2468876026475929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170223075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98784065,0.009194856,0.000056866134,0.0019888917,0.00003488764,0.00021366792,0.00007402187,0.0000033325034,0.0005928442],"genre_scores_gemma":[0.99817884,0.00047597362,0.00010430256,0.0011667965,0.000038120732,0.0000028159288,0.000007090097,0.0000047978037,0.000021273938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989836,0.000040898678,0.0006262278,0.00012541737,0.000012744556,0.0002110879],"domain_scores_gemma":[0.9993181,0.00003731348,0.00048686698,0.00010676928,0.0000026170767,0.000048328075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007069044,0.00007551477,0.0003152421,0.000116893,0.00011575588,0.000006135694,0.00005366001,0.000038110255,0.000005363997],"category_scores_gemma":[0.000032944485,0.0000708319,0.000023912826,0.00007215137,0.000038662856,0.00008153062,0.000014798456,0.00008019557,0.0000022112326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022285189,0.000040684765,0.92509234,0.0003337027,0.0000046520154,0.000009695226,0.02344657,0.0007337914,0.0000016283146,0.013902254,0.00012435396,0.036288053],"study_design_scores_gemma":[0.00042960208,0.00023890405,0.9932339,0.00010282366,8.4555035e-7,0.000053596734,0.0020885812,0.0014705368,0.000015452173,0.0020490154,0.00024144111,0.000075311815],"about_ca_topic_score_codex":0.013546477,"about_ca_topic_score_gemma":0.00051829393,"teacher_disagreement_score":0.06814156,"about_ca_system_score_codex":0.000109770685,"about_ca_system_score_gemma":0.000076722456,"threshold_uncertainty_score":0.9930224},"labels":[],"label_agreement":null},{"id":"W2170266511","doi":"10.1017/s1074070800022124","title":"Is There an End to U.S.–Canadian Softwood Lumber Disputes?","year":2006,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tariff; Subsidy; Economics; International economics; International trade; Commercial policy; Business; Market economy","score_opus":0.026971912531611183,"score_gpt":0.17116486786935362,"score_spread":0.14419295533774243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170266511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837672,0.00028365024,0.000054058524,0.001768324,0.00017697594,0.00011546741,0.00008135493,0.000005278662,0.013747705],"genre_scores_gemma":[0.9967918,0.00017448569,0.0011538533,0.0008560846,0.00043372283,0.0000046148602,0.000022160695,0.000013173892,0.0005501255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886465,0.000003987963,0.0006445873,0.0002321547,0.000017649916,0.00023699716],"domain_scores_gemma":[0.9991997,0.000013013406,0.0004009795,0.00010453454,0.000012495691,0.00026926576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023903616,0.0001557135,0.00033394966,0.00010251648,0.000111576024,0.00012351114,0.00015680707,0.00009252654,0.00044449352],"category_scores_gemma":[0.0000029939395,0.00013413152,0.00009074095,0.000051090698,0.00003166293,0.0003898242,0.00002820769,0.0001164476,0.00029776004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053987704,0.0003358718,0.544043,0.00003360234,0.00027453527,0.0000018881616,0.0017455064,0.03536576,0.0004726651,0.3859269,0.02212401,0.009622274],"study_design_scores_gemma":[0.000404273,0.00007387723,0.9749267,0.0000043849577,0.000009637385,0.00002934171,0.000259618,0.000025651865,0.00022782313,0.013404367,0.010405566,0.00022873259],"about_ca_topic_score_codex":0.002106179,"about_ca_topic_score_gemma":0.0036402957,"teacher_disagreement_score":0.43088374,"about_ca_system_score_codex":0.00024533086,"about_ca_system_score_gemma":0.000015892267,"threshold_uncertainty_score":0.5469725},"labels":[],"label_agreement":null},{"id":"W2170600888","doi":"10.1016/j.biocon.2009.07.029","title":"Using a novel survey technique to predict fisheries stakeholders’ support for European eel (Anguilla anguilla L.) conservation programs","year":2009,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Escapement; Fishing; Fishery; Business; Stock (firearms); Fish stock; Environmental resource management; Preference; Stakeholder; Fisheries management; Geography; Economics; Biology","score_opus":0.5406014207082467,"score_gpt":0.2882287402309766,"score_spread":0.2523726804772701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170600888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8658069,0.00003977778,0.12933289,0.0012195134,0.00013063978,0.0013964557,0.00033692177,0.00009449645,0.001642423],"genre_scores_gemma":[0.9714133,0.000016777356,0.023620604,0.0034790214,0.00008568432,0.000094288414,0.0010927215,0.000020744279,0.00017684065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998363,0.000067803194,0.00071983377,0.0005161585,0.00003806212,0.00029512693],"domain_scores_gemma":[0.9991472,0.00008905466,0.00036344441,0.00024524916,0.000061031475,0.00009404407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017789353,0.00020090681,0.00032000715,0.000100155274,0.00015481889,0.00008898493,0.00018337468,0.00016038257,0.00011771371],"category_scores_gemma":[0.0005385118,0.00021027983,0.000094580326,0.00018982399,0.000077811375,0.0002631406,0.000042981617,0.00007922674,0.00006440406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008221412,0.00014917582,0.9836359,0.00001019444,0.000018687319,5.0710463e-7,0.00009930758,0.00004953826,0.0055414746,0.007376227,0.0014979594,0.0015387948],"study_design_scores_gemma":[0.00051208126,0.00065408,0.9783614,0.000013761976,0.0000049434952,0.0000037728917,0.000042398635,0.002132347,0.00017117303,0.0025187943,0.015300128,0.0002850877],"about_ca_topic_score_codex":0.00031867682,"about_ca_topic_score_gemma":0.000072901224,"teacher_disagreement_score":0.10571229,"about_ca_system_score_codex":0.00017785653,"about_ca_system_score_gemma":0.000022160568,"threshold_uncertainty_score":0.85749626},"labels":[],"label_agreement":null},{"id":"W2171105182","doi":"10.1016/j.forpol.2004.03.005","title":"A social choice approach to sustainable forest management: an analysis of multiple forest values in Northwestern Ontario","year":2004,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Forest management; Monetization; Sustainable forest management; Stakeholder; Context (archaeology); Social preferences; Preference; Market value; Environmental resource management; Economics; Environmental economics; Geography; Microeconomics; Forestry","score_opus":0.052166662776112066,"score_gpt":0.23338398673120395,"score_spread":0.18121732395509188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171105182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881043,0.000032922315,0.0010562252,0.00011826943,0.000033084623,0.000427267,0.00008792597,0.000013256927,0.010126771],"genre_scores_gemma":[0.99738276,0.000060554383,0.00089256087,0.00023379986,0.00010010786,0.00008062172,0.00024144683,0.000029285427,0.0009788662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998184,0.00000996191,0.0007525024,0.00055514195,0.000023040815,0.00047534803],"domain_scores_gemma":[0.9992061,0.00002758186,0.00030614182,0.00031093313,0.000008734534,0.00014048268],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039397474,0.0002206389,0.00059561676,0.0010189017,0.00014622409,0.0000873911,0.00024760293,0.00012920678,0.000019148249],"category_scores_gemma":[0.000015500525,0.00029043094,0.00015225018,0.00034177018,0.000091124,0.0006166055,0.00016258954,0.000101426514,0.000035961533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016613085,0.0001300745,0.5391983,0.000022556667,0.0001199761,4.63946e-7,0.0027365717,0.24084695,6.514656e-8,0.2168753,0.0000031562597,0.000050015027],"study_design_scores_gemma":[0.0012436622,0.00008102583,0.93433434,0.0000041679086,0.00006140729,8.4242924e-7,0.0009639248,0.015539615,0.0000011197651,0.046140254,0.0013499272,0.00027969864],"about_ca_topic_score_codex":0.24538663,"about_ca_topic_score_gemma":0.5717088,"teacher_disagreement_score":0.3951361,"about_ca_system_score_codex":0.0011026281,"about_ca_system_score_gemma":0.00004087413,"threshold_uncertainty_score":0.99995476},"labels":[],"label_agreement":null},{"id":"W2171530553","doi":"10.1073/pnas.0508036102","title":"Economic benefits of biodiversity exceed costs of conservation at an African rainforest reserve","year":2005,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biodiversity; Opportunity cost; Rainforest; Revenue; Nature reserve; Natural resource economics; Tourism; Agroforestry; Ecosystem services; Ecotourism; Cost–benefit analysis; Willingness to pay; Business; Geography; Ecosystem; Ecology; Economics; Environmental science; Biology; Finance","score_opus":0.13875105424952894,"score_gpt":0.25647072650574665,"score_spread":0.11771967225621771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171530553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98969644,0.00010356918,4.805387e-7,0.0017713013,0.000015128642,0.00012752379,0.00023012761,0.0000027822407,0.008052642],"genre_scores_gemma":[0.9991333,0.00007012658,0.00058430503,0.00010391754,0.000025016283,0.0000025843792,0.0000016746933,0.0000020649422,0.00007701097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903345,0.0000027858512,0.0005592832,0.0001916417,0.00011977706,0.00009304236],"domain_scores_gemma":[0.9986221,0.00005360452,0.0012354773,0.000014195042,0.000047496822,0.000027081765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013593885,0.00006639897,0.0002019505,0.00017826463,0.00009747471,0.00000732824,0.0004686933,0.00006576121,0.00010304801],"category_scores_gemma":[0.000113383874,0.00006354349,0.00006782244,0.00016844523,0.0005831784,0.0007540979,0.00012918397,0.000047736747,0.000013037211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021823573,0.00004481093,0.82620865,0.000019078005,0.000014442599,2.4997995e-10,0.00030723025,0.002843984,0.0030246486,0.16691928,0.0004230624,0.00017300446],"study_design_scores_gemma":[0.0002909382,0.00006268439,0.94448006,0.0000200906,0.000004903727,5.8727943e-7,0.00018207126,0.0049848435,0.03989741,0.0098210145,0.00018273422,0.00007263623],"about_ca_topic_score_codex":0.00019118436,"about_ca_topic_score_gemma":0.0000076740425,"teacher_disagreement_score":0.15709826,"about_ca_system_score_codex":0.00021386663,"about_ca_system_score_gemma":0.000012249657,"threshold_uncertainty_score":0.25912285},"labels":[],"label_agreement":null},{"id":"W2171607949","doi":"10.5950/0738-1360-28.3.307","title":"<i>Preference Data for Environmental Valuation: Combining revealed and stated approaches</i>. Edited by John Whitehead, Tim Haab, and Ju-Chin Huang. 2011. Routledge. 330 pp. ISBN: 978-0-415-77464-2 (hardback).","year":2013,"lang":"en","type":"article","venue":"Marine Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Chin; Valuation (finance); Download; Library science; Art history; Media studies; Sociology; History; Economics; Computer science; Medicine; World Wide Web","score_opus":0.12391328569880226,"score_gpt":0.20321478361368409,"score_spread":0.07930149791488182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171607949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809791,0.0022664843,0.0015724093,0.0020179376,0.00025455278,0.0016260784,0.0024647037,0.00006471561,0.0087540075],"genre_scores_gemma":[0.95580584,0.0054892995,0.0067071547,0.0011911591,0.00068547775,0.0004997519,0.016196337,0.00024454223,0.013180453],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99696136,0.000056197914,0.0011246762,0.0012832615,0.000051520765,0.0005229595],"domain_scores_gemma":[0.9978982,0.0001862731,0.00067061343,0.00097280636,0.000009074711,0.00026298835],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012214794,0.00043918495,0.0007338492,0.00013766359,0.00029242254,0.00029202751,0.00049723126,0.00026524934,0.0014067903],"category_scores_gemma":[0.000054401597,0.0005503901,0.00007951162,0.00005107112,0.00021966264,0.0009433538,0.00090857357,0.0002670119,0.00062198145],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018105918,0.00052809936,0.74378294,0.00019808409,0.00052196265,9.527773e-7,0.000928701,0.0011304045,0.00016791608,0.003910372,0.19973455,0.04891493],"study_design_scores_gemma":[0.005924482,0.00034219917,0.24516785,0.000024852112,0.00010013829,0.000022656595,0.0007674283,0.3097442,0.00008706185,0.009325526,0.42704454,0.0014490356],"about_ca_topic_score_codex":0.00034947658,"about_ca_topic_score_gemma":0.00004080038,"teacher_disagreement_score":0.49861512,"about_ca_system_score_codex":0.00029131345,"about_ca_system_score_gemma":0.000019822051,"threshold_uncertainty_score":0.99969476},"labels":[],"label_agreement":null},{"id":"W2171973322","doi":"10.1002/hec.2869","title":"TWO‐LEVEL RESAMPLING AS A NOVEL METHOD FOR THE CALCULATION OF THE EXPECTED VALUE OF SAMPLE INFORMATION IN ECONOMIC TRIALS","year":2012,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Resampling; Nonparametric statistics; Sample (material); Computer science; Value (mathematics); Randomized controlled trial; Econometrics; Range (aeronautics); Population; Value of information; Statistics; Mathematics; Algorithm; Artificial intelligence; Engineering; Medicine; Physics","score_opus":0.3705748915025587,"score_gpt":0.3717277638664587,"score_spread":0.0011528723639000482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171973322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81857514,0.0006566993,0.17523706,0.0012625076,0.0010070388,0.0016538807,0.001202645,0.000007564357,0.00039745375],"genre_scores_gemma":[0.9703387,0.0003131519,0.028257485,0.000692458,0.00013529591,0.00013838326,0.00008527653,0.000019290908,0.000019955738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9973016,0.00006193315,0.0021622512,0.00016954014,0.000018986366,0.0002857027],"domain_scores_gemma":[0.99599224,0.0013028745,0.0022750378,0.00036275957,0.0000109446455,0.000056162997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00634439,0.00013092822,0.00062379654,0.00016026973,0.00011531751,0.000018849552,0.00021382129,0.00008873627,0.00007633752],"category_scores_gemma":[0.000544178,0.00011643055,0.00020339958,0.00006968494,0.000046337453,0.00055892457,0.000061322404,0.00009404892,0.00003170591],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010205068,0.00011421657,0.17540269,0.00011181007,0.00008659617,1.1916024e-9,0.003979058,0.22716723,0.000021395179,0.5876112,0.00013076434,0.005272968],"study_design_scores_gemma":[0.0045020026,0.00012713856,0.57214075,0.000044472883,0.00003009802,0.0000036993167,0.0012626565,0.37804148,0.0008640125,0.029339446,0.013285305,0.00035894275],"about_ca_topic_score_codex":0.0069269496,"about_ca_topic_score_gemma":0.000310951,"teacher_disagreement_score":0.55827177,"about_ca_system_score_codex":0.00067898066,"about_ca_system_score_gemma":0.00012366263,"threshold_uncertainty_score":0.999686},"labels":[],"label_agreement":null},{"id":"W2172038251","doi":"10.3727/108354210x12724863327605","title":"The Scale-Adusted Latent Class Model: Application to Museum Visitation","year":2010,"lang":"en","type":"article","venue":"Tourism Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Preference; Context (archaeology); Latent class model; Scale (ratio); Incentive; Consistency (knowledge bases); Marketing; Class (philosophy); Sample (material); Service (business); Discrete choice; Donation; Psychology; Advertising; Sociology; Business; Economics; Geography; Computer science; Microeconomics; Economic growth","score_opus":0.02886648997785762,"score_gpt":0.2124745846818796,"score_spread":0.18360809470402198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172038251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8595762,0.00004084355,0.13341331,0.003618359,0.000101409576,0.00019248748,0.00003361575,0.000029493367,0.0029942363],"genre_scores_gemma":[0.99620783,0.000038130416,0.0017639248,0.0002288598,0.000078633064,0.00007702195,0.000077109005,0.000013688216,0.0015148076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990278,0.000009431589,0.0004233768,0.0003262076,0.000039995008,0.00017319551],"domain_scores_gemma":[0.9991989,0.000031705214,0.0002161784,0.0004558433,0.000014722389,0.00008264114],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057755056,0.00009844919,0.00020058085,0.00020551278,0.00020777126,0.000076374185,0.00019705822,0.000083191284,0.0001554417],"category_scores_gemma":[0.000022260128,0.00009491538,0.00015312331,0.00037845454,0.000030539355,0.00013993066,0.000043340853,0.00012107781,0.0013026329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003097509,0.00018618412,0.37956265,0.000007869586,0.00090449455,6.8853103e-7,0.0013075736,0.5155176,0.002576208,0.07989539,0.0060526673,0.013957681],"study_design_scores_gemma":[0.00013862328,0.0000112984235,0.24790561,4.8861455e-7,0.000103416474,2.254113e-7,0.000044692584,0.7377829,0.000098038116,0.008095586,0.005668346,0.00015077362],"about_ca_topic_score_codex":0.00023856522,"about_ca_topic_score_gemma":0.0004188749,"teacher_disagreement_score":0.22226527,"about_ca_system_score_codex":0.000078860445,"about_ca_system_score_gemma":0.00000467267,"threshold_uncertainty_score":0.99947494},"labels":[],"label_agreement":null},{"id":"W2175034187","doi":"10.3386/w16036","title":"How Can Behavioral Economics Inform Non-Market Valuation? An Example from the Preference Reversal Literature","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Valuation (finance); Behavioral economics; Preference; Economics; Revealed preference; Microeconomics; Financial economics; Accounting","score_opus":0.6164423664414422,"score_gpt":0.42853594704987996,"score_spread":0.18790641939156227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175034187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6085333,0.0016849603,0.00007485276,0.0028622346,0.0034404488,0.0026061172,0.00769219,0.000041355383,0.37306452],"genre_scores_gemma":[0.96974087,0.0033644869,0.00063856493,0.00009309851,0.0019433489,0.00030218382,0.008560988,0.000097571254,0.0152588645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961711,0.00010865307,0.0015180507,0.0012079697,0.00041360673,0.0005806094],"domain_scores_gemma":[0.995888,0.000739331,0.0014533283,0.0011569846,0.00054597354,0.0002163653],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008032509,0.00045424202,0.0009107374,0.00060117454,0.00036263594,0.0006776378,0.0013794048,0.0010388364,0.0024856096],"category_scores_gemma":[0.00040772467,0.00046846137,0.00031641027,0.00016617733,0.00045307484,0.0011565407,0.00035193708,0.0017576119,0.00025361383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033512435,0.0010007605,0.18362322,0.00025725435,0.0013538332,0.0000054033294,0.00747196,0.0018334159,0.000097310454,0.59397745,0.19795029,0.012093948],"study_design_scores_gemma":[0.0020153439,0.00038920413,0.14010659,0.00015405707,0.00006279471,0.000016884378,0.0008672824,0.00682904,0.00013706565,0.72431916,0.12388072,0.0012218667],"about_ca_topic_score_codex":0.024161097,"about_ca_topic_score_gemma":0.0073697087,"teacher_disagreement_score":0.36120754,"about_ca_system_score_codex":0.0030536286,"about_ca_system_score_gemma":0.0017404804,"threshold_uncertainty_score":0.9997767},"labels":[],"label_agreement":null},{"id":"W2175116918","doi":"10.1650/0010-5422(2006)108[0025:praorg]2.0.co;2","title":"Predicting Regional Abundance of Rare Grassland Birds with a Hierarchical Spatial Count Model","year":2006,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Forest Service; Natural Resources Canada; U.S. Forest Service","keywords":"Grassland; Abundance (ecology); Sparrow; Geography; Ecology; Breeding bird survey; Relative species abundance; Grasshopper; Biology","score_opus":0.0604153951722371,"score_gpt":0.21301613512729087,"score_spread":0.15260073995505377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175116918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.735388,0.00010806329,0.25587484,0.00050713704,0.000006346996,0.00026779334,0.00014242754,0.00003132432,0.0076740654],"genre_scores_gemma":[0.9853729,0.00003329476,0.013691037,0.00009448454,0.00006140356,0.0002511278,0.00012531086,0.000012478355,0.0003579371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909246,0.000007245645,0.00039247202,0.00032233118,0.00004319631,0.00014228474],"domain_scores_gemma":[0.99946904,0.00003430529,0.00023221204,0.00020530206,0.000015769736,0.000043384345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014956706,0.00010197717,0.00022636158,0.000055187054,0.00010513157,0.000014931414,0.00010565407,0.00009003988,0.000111665846],"category_scores_gemma":[0.000006670792,0.00009300863,0.00005760936,0.00009903761,0.00020341728,0.00006918376,0.000031034557,0.000120546305,0.00007776936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024465851,0.00020673628,0.94283366,0.000010346928,0.000009567517,5.738176e-7,0.000018350693,0.0058841505,0.000094237235,0.050469104,0.00012889375,0.00031989595],"study_design_scores_gemma":[0.0004743371,0.00008936142,0.92689073,0.0000062335425,0.000008558696,0.000020266572,0.000010546567,0.011932011,0.000050579638,0.05806244,0.00231569,0.00013922722],"about_ca_topic_score_codex":0.0000378054,"about_ca_topic_score_gemma":0.00004215204,"teacher_disagreement_score":0.24998492,"about_ca_system_score_codex":0.0000625015,"about_ca_system_score_gemma":0.0000139056365,"threshold_uncertainty_score":0.37927818},"labels":[],"label_agreement":null},{"id":"W2177557676","doi":"10.1086/321952","title":"The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching","year":2001,"lang":"en","type":"article","venue":"Journal of Consumer Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":528,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Task (project management); Context (archaeology); Aggregate (composite); Latent class model; Selection (genetic algorithm); Affect (linguistics); Class (philosophy); Interpretation (philosophy); Consumer choice; Computer science; Cognitive psychology; Psychology; Economics; Microeconomics; Artificial intelligence; Machine learning; Communication","score_opus":0.3663133884224562,"score_gpt":0.3660250847546243,"score_spread":0.00028830366783189065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177557676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955174,0.001676963,0.0007022381,0.00030131228,0.000055965702,0.00015582898,0.000022657858,0.0000016368123,0.0015660163],"genre_scores_gemma":[0.9956154,0.0038992267,0.00027696227,0.000030278261,0.00002138621,0.0000032881107,9.0304616e-7,0.00001193283,0.00014062563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980557,0.00008248289,0.0011953791,0.00016646132,0.00023020465,0.0002697551],"domain_scores_gemma":[0.9978034,0.00079052086,0.0008445949,0.00029231622,0.0001703415,0.000098856515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037200828,0.000100662204,0.00037683576,0.00028849536,0.00016712675,0.000044555287,0.00040764885,0.000078145895,0.0001190166],"category_scores_gemma":[0.00034932015,0.0000814269,0.0001321175,0.00016906933,0.0003352619,0.00025399026,0.00008554241,0.0004976799,0.000092242226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059078954,0.00038342288,0.8088684,0.00003966571,0.00022757615,0.000006870021,0.00032958342,0.12928934,0.0029025753,0.039082237,0.00077937316,0.017500166],"study_design_scores_gemma":[0.0019422993,0.0004909874,0.838216,0.00016652505,0.000015506175,0.000023344504,0.00018601553,0.065842934,0.0004980027,0.08831225,0.0041195992,0.00018654391],"about_ca_topic_score_codex":0.00020928988,"about_ca_topic_score_gemma":0.000046758483,"teacher_disagreement_score":0.06344641,"about_ca_system_score_codex":0.00016964298,"about_ca_system_score_gemma":0.00008870563,"threshold_uncertainty_score":0.33204925},"labels":[],"label_agreement":null},{"id":"W2178726263","doi":"","title":"The estimation of generalized extreme value models from choice-based samples","year":2006,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Estimator; Mathematics; Likelihood function; Statistics; Maximum likelihood; Marginal likelihood; Multinomial logistic regression; Restricted maximum likelihood; Estimation theory; Econometrics; Applied mathematics","score_opus":0.14999658857753714,"score_gpt":0.27436908553879263,"score_spread":0.12437249696125549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178726263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96475834,0.00062490045,0.0011379395,0.000352649,0.00014712708,0.00034596724,0.00016255298,0.000015450796,0.03245507],"genre_scores_gemma":[0.99448806,0.001122798,0.0033965819,0.000050068047,0.00009758143,0.000087333516,0.00013833278,0.000032288382,0.00058693474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980768,0.00007761482,0.0009273654,0.0004589949,0.000060667273,0.0003985845],"domain_scores_gemma":[0.99837863,0.00067465595,0.00033443037,0.0005420094,0.000014791186,0.000055496304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014707786,0.00014869658,0.0003368166,0.000201167,0.00019699693,0.000076586504,0.00034145406,0.00012332282,0.00016869005],"category_scores_gemma":[0.00014381208,0.00015623342,0.00012202125,0.000094735406,0.00024033699,0.00024868074,0.000076101176,0.00019413937,0.000047344936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003821104,0.00011347057,0.106236175,0.000010188442,0.000029893195,4.660057e-7,0.000060061564,0.7735083,0.00011770214,0.09572522,0.000065831715,0.02409445],"study_design_scores_gemma":[0.000930513,0.00003225015,0.1554659,0.000013470093,0.0000026902683,2.3807192e-7,0.000053542266,0.6990591,0.00034429025,0.13988598,0.0040385337,0.00017347306],"about_ca_topic_score_codex":0.0034101685,"about_ca_topic_score_gemma":0.0006607627,"teacher_disagreement_score":0.07444921,"about_ca_system_score_codex":0.00057366374,"about_ca_system_score_gemma":0.00005260003,"threshold_uncertainty_score":0.6371014},"labels":[],"label_agreement":null},{"id":"W2179807004","doi":"10.1890/1051-0761(2006)016[2411:damcfa]2.0.co;2","title":"DECONSTRUCTING ADAPTIVE MANAGEMENT: CRITERIA FOR APPLICATIONS TO ENVIRONMENTAL MANAGEMENT","year":2006,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":299,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ohio State University; National Science Foundation","keywords":"Adaptive management; Stakeholder; Environmental resource management; Computer science; Scale (ratio); Management science; Temporal scales; Ecosystem management; Risk analysis (engineering); Business; Ecology; Environmental planning; Environmental science; Geography; Economics; Ecosystem","score_opus":0.0691492816429312,"score_gpt":0.2385145938375123,"score_spread":0.16936531219458112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179807004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05950323,0.00020540555,0.80117154,0.00057625514,0.00008942206,0.005101002,0.0006405596,0.00011278707,0.13259979],"genre_scores_gemma":[0.8724662,0.000039364673,0.110854134,0.00037376085,0.00015217846,0.013291855,0.00024256449,0.000021715943,0.0025582314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985155,0.0000073854,0.000544468,0.000609407,0.000028498476,0.00029476357],"domain_scores_gemma":[0.9993737,0.00004897905,0.00018145039,0.00030897354,0.000003791327,0.000083116254],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023192848,0.00015667628,0.00021068745,0.00012189117,0.00033240605,0.00004700118,0.00024774414,0.00007578627,0.0010033789],"category_scores_gemma":[0.000001698433,0.00019119076,0.00010232132,0.0001288586,0.00006987046,0.00010228273,0.0001311559,0.000055899076,0.0029908544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074342433,0.00034502547,0.018626507,0.000017100858,0.0000455847,3.6185168e-7,0.0000152233215,0.00045069703,0.000037374553,0.9693961,0.0014833959,0.009575187],"study_design_scores_gemma":[0.00060060766,0.00006458327,0.43275222,0.0000029256437,0.000027256825,0.0000025712482,0.00024338982,0.00082764635,0.00005226899,0.29069585,0.27437344,0.0003572431],"about_ca_topic_score_codex":0.000008324405,"about_ca_topic_score_gemma":0.0000070602273,"teacher_disagreement_score":0.81296295,"about_ca_system_score_codex":0.00028475196,"about_ca_system_score_gemma":0.0000014933522,"threshold_uncertainty_score":0.9999098},"labels":[],"label_agreement":null},{"id":"W2180155153","doi":"10.19030/jber.v10i3.6855","title":"What Are Consumers Looking For In Dark Chocolate?","year":2012,"lang":"en","type":"article","venue":"Journal of Business & Economics Research (JBER)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Dark chocolate; Certification; Conjoint analysis; Advertising; Business; Measure (data warehouse); Marketing; Economics; Food science; Computer science; Microeconomics","score_opus":0.2641920751617073,"score_gpt":0.327359443075,"score_spread":0.0631673679132927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180155153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98943585,0.0043922532,0.0004856323,0.0019782297,0.0017130746,0.00047436584,0.00003856575,0.000004450021,0.0014775658],"genre_scores_gemma":[0.9884861,0.00974123,0.00071099884,0.00014983138,0.00046324177,0.000045948596,0.000011664766,0.00004910402,0.00034188305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975136,0.000052817988,0.001363116,0.00028350923,0.000061921055,0.0007250169],"domain_scores_gemma":[0.99798363,0.00032109892,0.0010675034,0.00027762962,0.00012971912,0.00022041988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006070436,0.00018047035,0.00064921443,0.0008978901,0.00014861795,0.00028979644,0.00039555866,0.0001675248,0.00030201496],"category_scores_gemma":[0.00035946476,0.00021327748,0.00016967439,0.0002639012,0.00015475495,0.003361043,0.00011635112,0.0004081082,0.00027199872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017653892,0.00033281886,0.9766919,0.00009801109,0.00012649255,0.000004024743,0.00075896067,0.002614352,0.000066565786,0.012759693,0.0016348573,0.0047357865],"study_design_scores_gemma":[0.0026863983,0.000084762236,0.9157766,0.0001692228,0.000011275463,0.000038749396,0.0018029399,0.0018537799,0.00016429255,0.017834092,0.059187878,0.00039000582],"about_ca_topic_score_codex":0.00008303427,"about_ca_topic_score_gemma":0.000082257895,"teacher_disagreement_score":0.060915295,"about_ca_system_score_codex":0.0011439886,"about_ca_system_score_gemma":0.00009211578,"threshold_uncertainty_score":0.86972034},"labels":[],"label_agreement":null},{"id":"W2180398075","doi":"10.1093/ajae/aav037","title":"The Demonstration and Capture of the Value of an Ecosystem Service: A Quasi‐Experimental Hedonic Property Analysis","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Water Research Institute","keywords":"Ecosystem services; Irrigation; Revenue; Service (business); Ecosystem; Agency (philosophy); Business; Environmental resource management; Environmental science; Offset (computer science); Property value; Environmental economics; Natural resource economics; Computer science; Economics; Ecology; Finance; Marketing","score_opus":0.029312855481903946,"score_gpt":0.19806834197059112,"score_spread":0.16875548648868716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180398075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99794334,0.0005686196,0.0000314715,0.00088361884,0.00014959153,0.00012684368,0.00004134424,0.0000018776731,0.00025331398],"genre_scores_gemma":[0.9993312,0.00015469636,0.0003672261,0.000054559016,0.000047131565,0.000002852482,0.000005529914,0.0000065683016,0.00003028007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987172,0.00006437989,0.0009143435,0.00014760357,0.00003753153,0.00011895597],"domain_scores_gemma":[0.9975522,0.00003835171,0.0020782691,0.000183173,0.00005405848,0.000093907154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006805337,0.00011902977,0.00047977248,0.000060070437,0.00008052618,0.00003991858,0.00028001485,0.000040098592,0.0000074867403],"category_scores_gemma":[0.000020154426,0.0000608857,0.00018145965,0.00020950528,0.00012892201,0.0003751919,0.000048921123,0.000104480365,0.000003520544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029016082,0.0008273317,0.75399125,0.000051395884,0.00309202,7.728507e-7,0.0118506085,0.18939447,0.0013366112,0.034925144,0.00019565651,0.0040445672],"study_design_scores_gemma":[0.001060838,0.0012988693,0.94507134,0.000024205245,0.00024779892,0.000099637335,0.028099298,0.020765936,0.0017441971,0.0008629902,0.00042274175,0.0003021206],"about_ca_topic_score_codex":0.0005430559,"about_ca_topic_score_gemma":0.0004727186,"teacher_disagreement_score":0.19108011,"about_ca_system_score_codex":0.00021384224,"about_ca_system_score_gemma":0.000041982486,"threshold_uncertainty_score":0.24828468},"labels":[],"label_agreement":null},{"id":"W2182394608","doi":"","title":"Do Public Lands Constrain Economic Development in the Adirondack Park","year":2003,"lang":"en","type":"article","venue":"Adirondack Journal of Environmental Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Land tenure; Metropolitan area; Poverty; Land Values; State (computer science); Quarter (Canadian coin); Geography; Unemployment; Agricultural economics; Per capita; Land use; Economic growth; Economics; Agriculture; Sociology; Demography; Archaeology; Population","score_opus":0.13388048985364548,"score_gpt":0.23548373203668668,"score_spread":0.1016032421830412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182394608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97191674,0.018328791,0.00007263679,0.00046449018,0.0003634685,0.00018241558,0.000034861838,0.0000036265953,0.008632988],"genre_scores_gemma":[0.99481106,0.0038979047,0.00066475343,0.00029556753,0.0000709488,0.000018818391,0.0000067193887,0.000021015625,0.00021320871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979435,0.000090979775,0.0012266132,0.00029174887,0.00008661639,0.0003605225],"domain_scores_gemma":[0.9988203,0.00013250129,0.0007329913,0.00022436274,0.0000030384854,0.00008682761],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020173492,0.00024140281,0.00053041975,0.00017839682,0.00018110873,0.000059123257,0.00032515818,0.000076875374,0.0014338382],"category_scores_gemma":[0.00006780399,0.00020737069,0.00015369951,0.00005828256,0.00029414694,0.0004102005,0.00006103689,0.0002544611,0.0007415445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016017288,0.0002941937,0.9545393,0.000014539867,0.00036330018,0.000021167765,0.005608706,0.00036734264,0.000058165275,0.03446177,0.001485302,0.0027701806],"study_design_scores_gemma":[0.0025576153,0.00024152371,0.77379006,0.000034019333,0.000028830626,0.00018359101,0.011817386,0.000021649525,0.00022549987,0.010148007,0.20041847,0.00053334056],"about_ca_topic_score_codex":0.000003791351,"about_ca_topic_score_gemma":0.000018715748,"teacher_disagreement_score":0.19893317,"about_ca_system_score_codex":0.00087282056,"about_ca_system_score_gemma":0.000031269967,"threshold_uncertainty_score":0.999479},"labels":[],"label_agreement":null},{"id":"W2182962673","doi":"10.1016/j.aap.2016.03.004","title":"Estimating the Value of Life, Injury, and Travel Time Saved Using a Stated Preference Framework","year":2016,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Willingness to pay; Mixed logit; Value of time; Value (mathematics); Transport engineering; Poison control; Statistics; Economics; Econometrics; Travel time; Logistic regression; Engineering; Environmental health; Mathematics; Medicine","score_opus":0.0849048031747537,"score_gpt":0.2571679194750256,"score_spread":0.1722631163002719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182962673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79484487,0.00019883814,0.20458482,0.00010284714,0.000035264035,0.00012602113,0.0000037826262,0.0000064859305,0.00009707304],"genre_scores_gemma":[0.9936138,0.00009183014,0.005902909,0.00002777425,0.000028990771,0.000009962129,0.0000175683,0.000009469322,0.00029769854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988683,0.00005105392,0.00063814403,0.00027171915,0.000043013642,0.00012778548],"domain_scores_gemma":[0.9989595,0.00008620788,0.0006553973,0.00024777072,0.000011806341,0.000039353905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007828433,0.00010141182,0.0003152665,0.00017179234,0.00008668955,0.000035154124,0.0001282782,0.000066677036,0.0008047553],"category_scores_gemma":[0.00014302916,0.00007965023,0.0001476616,0.00025169924,0.00005009041,0.00030082927,0.000065375694,0.0000528266,0.00010141414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011312641,0.00003410979,0.99000895,0.0000021889427,0.00046918017,4.5917474e-8,0.00019958627,0.0022100068,0.00066115014,0.0038646539,0.000011363771,0.0025274758],"study_design_scores_gemma":[0.00020163998,0.00003117541,0.82460386,0.00003573849,0.00024120344,2.2734731e-7,0.00003259553,0.13145682,0.00016815403,0.043113586,0.000004737378,0.000110249566],"about_ca_topic_score_codex":0.00018793953,"about_ca_topic_score_gemma":0.00003332486,"teacher_disagreement_score":0.19876893,"about_ca_system_score_codex":0.00008078006,"about_ca_system_score_gemma":0.000009899892,"threshold_uncertainty_score":0.88115066},"labels":[],"label_agreement":null},{"id":"W2183307587","doi":"","title":"Energy Savings in Industry: Canadian Industry Program for Energy Conservation","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy conservation; Efficient energy use; Business; Energy consumption; Electricity; Outreach; Consumption (sociology); Environmental economics; Operations management; Engineering; Economics; Economic growth","score_opus":0.14310302459560675,"score_gpt":0.21425313345725835,"score_spread":0.0711501088616516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183307587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.875236,0.00010252113,0.0011737202,0.00081833295,0.00021903835,0.00022905164,0.00006174457,0.00003587988,0.12212376],"genre_scores_gemma":[0.9909255,0.000023901463,0.0013412525,0.0020118677,0.00004558844,0.0002477202,0.00007827891,0.0000197905,0.0053061135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905026,0.0000065794998,0.00040304998,0.00024287609,0.000012455309,0.00028479614],"domain_scores_gemma":[0.99955827,0.000013686435,0.00013913399,0.00015063088,0.0000069619623,0.00013130734],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024075434,0.000108697444,0.00017678375,0.00023381514,0.00005316775,0.000024331232,0.000116410476,0.0005224537,0.0017507689],"category_scores_gemma":[0.000018908422,0.0001400353,0.000042108197,0.000116653384,0.000036371377,0.00023851235,0.000018370632,0.00015408659,0.000050629566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004449409,0.000058331574,0.67010003,0.0000026120583,0.000011054951,4.8928956e-7,0.00012863729,0.000011273808,0.0000021876108,0.32010302,0.0021874234,0.0073904586],"study_design_scores_gemma":[0.00087792584,0.00014574881,0.7533811,0.0000104154215,0.0000043776786,0.0000021219075,0.0003610278,0.0069739893,0.0003661556,0.04693444,0.19054015,0.00040258237],"about_ca_topic_score_codex":0.44601524,"about_ca_topic_score_gemma":0.22183955,"teacher_disagreement_score":0.2731686,"about_ca_system_score_codex":0.00035062863,"about_ca_system_score_gemma":0.000050254395,"threshold_uncertainty_score":0.9991618},"labels":[],"label_agreement":null},{"id":"W2187040119","doi":"","title":"Report Title : Predicting Socio-economic Impacts of Market and Policy Change on Forest- Dependant Communities: The Case of Petitcodiac, New Brunswick","year":2002,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural resource economics; Economics; Environmental resource management","score_opus":0.10744913731816838,"score_gpt":0.24606352313183102,"score_spread":0.13861438581366264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187040119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8522954,0.00036705635,0.000016466676,0.00045630033,0.000060696526,0.00010717577,0.000032689233,0.0000052876308,0.14665891],"genre_scores_gemma":[0.995242,0.00066529063,0.00007457105,0.00011633516,0.00008356315,0.0000026484024,0.000004522458,0.000009689428,0.0038013782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995039,0.000009223743,0.00030517703,0.00008377214,0.000009350242,0.0000885606],"domain_scores_gemma":[0.9994382,0.00006786071,0.00025143017,0.00020615144,0.0000021811381,0.000034169996],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028229947,0.00006133221,0.00014890268,0.000064912085,0.0000458318,0.000009001075,0.000059939503,0.00003690838,0.003919891],"category_scores_gemma":[0.000022391376,0.000055777207,0.000042111868,0.000019853293,0.000053601143,0.00008071127,0.000039614686,0.000051059662,0.00015796207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046244995,0.000032646294,0.9457977,0.000026522324,0.00004091645,0.0000080966365,0.0017592418,0.00003135095,6.9074287e-7,0.044996005,0.0043505114,0.0029516863],"study_design_scores_gemma":[0.0009820026,0.00024166239,0.94557244,0.00004660925,0.000022466522,0.00053929,0.002792609,0.0297947,0.00006814665,0.008766899,0.010867262,0.0003059104],"about_ca_topic_score_codex":0.029305534,"about_ca_topic_score_gemma":0.0026480202,"teacher_disagreement_score":0.14294659,"about_ca_system_score_codex":0.00007186975,"about_ca_system_score_gemma":0.000014897429,"threshold_uncertainty_score":0.9969907},"labels":[],"label_agreement":null},{"id":"W2187496652","doi":"","title":"Evaluating Management Performance and Effectiveness for Protected Areas","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental resource management; Adaptive management; Ecosystem management; Business; Management by objectives; Natural resource management; Management system; Environmental planning; Natural resource; Geography; Ecosystem; Engineering; Operations management; Political science; Ecology; Environmental science","score_opus":0.11495331008079641,"score_gpt":0.26098371058500064,"score_spread":0.14603040050420424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187496652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97082776,0.000087870714,0.013129373,0.000095336065,0.000046930294,0.00080623874,0.0000052154205,0.000023132083,0.014978172],"genre_scores_gemma":[0.9906913,0.00005128848,0.008336994,0.00011469327,0.000019335614,0.00013463828,0.000009446246,0.000006542584,0.0006357548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942636,0.0000065952404,0.00019680173,0.00023502608,0.000012731281,0.00012245169],"domain_scores_gemma":[0.99976957,0.000021455837,0.00007935573,0.00010017576,0.0000039922115,0.00002545727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061931694,0.000073034724,0.00013100858,0.00005422216,0.000084712134,0.000023078002,0.00004520387,0.00002958261,0.00007852949],"category_scores_gemma":[0.000012554693,0.000081415856,0.000026117918,0.000035125853,0.000012766979,0.00014311836,0.000014955821,0.000026711607,0.00007517737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016987589,0.00019301113,0.48537818,0.00034848778,0.000107697895,4.501034e-7,0.0002712918,0.0025420191,0.00040164156,0.27555126,0.0002693195,0.23476678],"study_design_scores_gemma":[0.0008660952,0.0002524011,0.9426068,0.000013853722,0.000004975423,9.418884e-7,0.000020119223,0.034940217,0.00022443045,0.020522956,0.00042484436,0.00012235776],"about_ca_topic_score_codex":0.000004476742,"about_ca_topic_score_gemma":2.8265325e-7,"teacher_disagreement_score":0.45722863,"about_ca_system_score_codex":0.00006970665,"about_ca_system_score_gemma":0.0000013112408,"threshold_uncertainty_score":0.33200422},"labels":[],"label_agreement":null},{"id":"W2188331500","doi":"10.5539/jsd.v9n1p1","title":"Environmental Role of National Parks","year":2015,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wilderness; Endangered species; Wetland; National park; Ecosystem services; Natural resource; Environmental resource management; Ecosystem; Environmental protection; Ecotourism; Geography; Biodiversity; Wilderness area; Environmental planning; Ecology; Tourism; Environmental science; Habitat","score_opus":0.04307604727467612,"score_gpt":0.19554139959786043,"score_spread":0.1524653523231843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188331500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872442,0.0021453807,0.00044328003,0.00011059026,0.00010260157,0.00007895301,0.0000052358073,0.000002056051,0.009867726],"genre_scores_gemma":[0.9959665,0.00008126567,0.0024699357,0.000045979505,0.00005023455,0.000003884008,0.000004535003,0.00000896202,0.0013687299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885595,0.000008994771,0.00077750825,0.00009695576,0.00010288756,0.00015773253],"domain_scores_gemma":[0.9990885,0.000013725675,0.00070035347,0.00005877494,0.000041638275,0.00009695415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012150999,0.00007870685,0.0002268739,0.00019680297,0.000036651192,0.0000139254635,0.00012963664,0.000046507903,0.00027473507],"category_scores_gemma":[0.000054751505,0.000086835695,0.000057636207,0.000054850207,0.00003477457,0.00032377482,0.00005639753,0.000077560006,0.00010898132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009494316,0.0005622557,0.90031487,0.000037992617,0.0002454094,0.000026787555,0.0082360795,0.003962327,0.00020564743,0.07899954,0.0037483014,0.003565849],"study_design_scores_gemma":[0.001721402,0.00018957064,0.6652694,0.00001517246,0.000006462469,0.000043055174,0.021743903,0.00025994156,0.0023416143,0.07727706,0.23086788,0.0002645631],"about_ca_topic_score_codex":0.000007743677,"about_ca_topic_score_gemma":2.601789e-7,"teacher_disagreement_score":0.23504548,"about_ca_system_score_codex":0.0009822717,"about_ca_system_score_gemma":0.0001519719,"threshold_uncertainty_score":0.35410568},"labels":[],"label_agreement":null},{"id":"W2188942644","doi":"10.1139/cjce-2014-0281","title":"Enhanced benefit–cost analysis for infrastructure fund allocation","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Liberian dollar; Set (abstract data type); Public infrastructure; Heuristic; Asset (computer security); Cost–benefit analysis; Computer science; Operations research; Economics; Environmental economics; Business; Finance; Engineering; Computer security","score_opus":0.05487146366355553,"score_gpt":0.19593165958213515,"score_spread":0.14106019591857963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188942644","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44414148,0.0014432176,0.54997045,0.0002295938,0.00076491927,0.00013724617,0.00008711069,0.0000055653363,0.003220417],"genre_scores_gemma":[0.9985805,0.000021238508,0.0010333259,0.00004511006,0.00015687813,0.0000057861266,0.000020192774,0.000014053967,0.00012288759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99930614,0.0000018172501,0.00039704976,0.00010110991,0.000020378757,0.00017350484],"domain_scores_gemma":[0.99928796,0.00001622703,0.0002312304,0.00009905748,0.000034654906,0.0003308466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035528908,0.00008224358,0.00023679766,0.0004609111,0.000031698928,0.000041372725,0.00011515756,0.00005984504,0.00023532842],"category_scores_gemma":[0.00008907709,0.000102878665,0.000115848154,0.0001691206,0.000010518497,0.0002327424,0.0000041207,0.00007772452,0.000017755852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029104021,0.0000027119697,0.04482347,0.000007712867,0.00020053856,7.9904146e-7,0.00035538606,0.9446674,0.000033636807,0.009014217,0.00049750943,0.00039369502],"study_design_scores_gemma":[0.0018414992,0.00018327712,0.7326507,0.000036566595,0.000208786,0.00001904609,0.00041803095,0.1824818,0.00040550387,0.012039192,0.069103934,0.00061169046],"about_ca_topic_score_codex":0.0003566717,"about_ca_topic_score_gemma":0.019303791,"teacher_disagreement_score":0.76218563,"about_ca_system_score_codex":0.00047828106,"about_ca_system_score_gemma":0.00007462162,"threshold_uncertainty_score":0.99859136},"labels":[],"label_agreement":null},{"id":"W2189003395","doi":"","title":"Revealed Meta-Preferences: Axiomatic Foundations of Normative Assessments in the Capability Approach","year":2011,"lang":"en","type":"preprint","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Australian Agency for International Development; Georg-August-Universität Göttingen; University of Oxford; International Development Research Centre; Economic and Social Research Council; International Fine Particle Research Institute; United Nations Development Programme; Robertson Foundation; UNICEF","keywords":"Normative; Axiom; Construct (python library); Revealed preference; Ranking (information retrieval); Set (abstract data type); Mathematical economics; Preference; Preference relation; Relation (database); Welfare; Economics; Positive economics; Epistemology; Computer science; Microeconomics; Mathematics; Artificial intelligence; Philosophy","score_opus":0.25208293533566883,"score_gpt":0.2897918002473467,"score_spread":0.03770886491167785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189003395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72963417,0.000116292504,0.032584094,0.00023694207,0.000066612636,0.0014869468,0.0017655235,0.000016214151,0.23409323],"genre_scores_gemma":[0.98292994,0.0014442594,0.014177413,0.000010650675,0.000010836179,0.00000377517,0.0005295428,0.000014753647,0.000878846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971803,0.0007934742,0.000550176,0.00075663725,0.0002565883,0.00046285675],"domain_scores_gemma":[0.9973319,0.00046352934,0.0009413303,0.0010277184,0.00011213454,0.00012336407],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003434065,0.00028462568,0.0010221147,0.0011079393,0.00040416402,0.00003193103,0.0021920486,0.0002379535,0.00092216703],"category_scores_gemma":[0.0000977036,0.0003264078,0.000508892,0.00055482495,0.001199817,0.0006251439,0.0017093485,0.0010434523,0.000029407964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008115154,0.0035975974,0.5196452,0.002500492,0.0049864473,0.0000344052,0.067765884,0.0035309303,0.000031856656,0.39344075,0.0015789194,0.002075944],"study_design_scores_gemma":[0.0018219119,0.00044545112,0.64489114,0.00011757277,0.00041890013,0.0000026887794,0.04866453,0.012158113,0.000007193544,0.28531918,0.005532697,0.0006206092],"about_ca_topic_score_codex":0.007317417,"about_ca_topic_score_gemma":0.0017749226,"teacher_disagreement_score":0.25329578,"about_ca_system_score_codex":0.0005713389,"about_ca_system_score_gemma":0.00021692026,"threshold_uncertainty_score":0.9999911},"labels":[],"label_agreement":null},{"id":"W2189393853","doi":"10.1002/cjs.5550340308","title":"<i>Case study in data analysis</i>: Variables related to codling moth abundance and the efficacy of the Okanagan Sterile Insect Release Program","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Codling moth; Orchard; Context (archaeology); Sterile insect technique; Abundance (ecology); Geography; Forestry; Biology; Horticulture; Ecology; Larva; PEST analysis; Archaeology","score_opus":0.07096353026989126,"score_gpt":0.2310236407006905,"score_spread":0.16006011043079926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189393853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955547,0.00036877516,0.002623103,0.00014293107,0.00010908423,0.00034482352,0.0006642668,0.0000011517956,0.00019120464],"genre_scores_gemma":[0.99708676,0.000023411481,0.002726274,0.00005588153,0.000019096971,0.0000027530216,0.000017419803,0.000008976636,0.000059431608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988458,0.000053936685,0.000772032,0.00015631205,0.000032532298,0.00013937872],"domain_scores_gemma":[0.998891,0.00014178886,0.0005140016,0.00033524362,0.00001808636,0.00009986619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00111756,0.00007886712,0.00030635178,0.0002076468,0.00010282657,0.00006107525,0.00027394228,0.000028496945,0.00004421063],"category_scores_gemma":[0.00021119668,0.000063484214,0.000033616634,0.00034932746,0.00012294522,0.00010432673,0.000040066352,0.00013544464,0.0000026900684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002718771,0.00010869652,0.95788306,0.000010213877,0.00020564295,0.00015899632,0.0015707858,0.026261797,9.2329617e-7,0.011187432,0.00034479078,0.0022404564],"study_design_scores_gemma":[0.0021060517,0.00011061266,0.9666573,0.000019753099,0.00018630183,0.00009664652,0.00092880055,0.024663761,0.0000013395934,0.004340361,0.00076436286,0.00012473456],"about_ca_topic_score_codex":0.03181323,"about_ca_topic_score_gemma":0.09757641,"teacher_disagreement_score":0.06576318,"about_ca_system_score_codex":0.00010954464,"about_ca_system_score_gemma":0.00009094672,"threshold_uncertainty_score":0.974634},"labels":[],"label_agreement":null},{"id":"W2193034424","doi":"10.1002/met.1539","title":"Assessment of the benefits of the Chinese Public Weather Service","year":2015,"lang":"en","type":"article","venue":"Meteorological Applications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; Nanjing University; China Meteorological Administration; National Natural Science Foundation of China","keywords":"China; Receipt; Service (business); Business; Gross domestic product; Product (mathematics); Public opinion; Agricultural economics; Geography; Marketing; Economic growth; Economics; Political science","score_opus":0.12574693504165219,"score_gpt":0.2538451467950771,"score_spread":0.1280982117534249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2193034424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96652496,0.00030201167,0.002378788,0.004149632,0.000068873735,0.0003913352,0.000088921275,0.0000081831695,0.026087282],"genre_scores_gemma":[0.99819964,0.000017165847,0.0009088861,0.00047367773,0.000026160467,0.00017233749,0.0000063733646,0.000005854545,0.00018989814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929285,0.00002721846,0.00037009706,0.00017155654,0.000042498526,0.00009577615],"domain_scores_gemma":[0.9990878,0.000043249198,0.00034240008,0.00046461629,0.000024530975,0.000037416936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048415991,0.00007130406,0.00017629983,0.00002211673,0.000064774336,0.000008001651,0.00043164965,0.000062468025,0.00022664705],"category_scores_gemma":[0.000045144912,0.00004203907,0.00008947976,0.00030104458,0.000092827984,0.000057279038,0.00017420009,0.00008072056,0.00007178561],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.3326434e-7,0.000101497666,0.7033264,0.0000032576015,0.000012493952,1.8309184e-9,0.000036621477,0.0009459951,0.00006138446,0.2951316,0.000043184227,0.00033695035],"study_design_scores_gemma":[0.00017046792,0.000016643107,0.9445414,0.0000010502642,0.0000053985245,4.3408247e-7,0.00002380048,0.0010406226,0.000042730535,0.049329575,0.0047812457,0.000046622194],"about_ca_topic_score_codex":0.000055221713,"about_ca_topic_score_gemma":0.000030408275,"teacher_disagreement_score":0.24580202,"about_ca_system_score_codex":0.000057405825,"about_ca_system_score_gemma":0.000014483431,"threshold_uncertainty_score":0.24816264},"labels":[],"label_agreement":null},{"id":"W2201761680","doi":"10.2193/0022-541x(2005)069<0014:wcwdmb>2.0.co;2","title":"RESEARCH AND MANAGEMENT VIEWPOINT: WHY COMPENSATING WILDLIFE DAMAGES MAY BE BAD FOR CONSERVATION","year":2005,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":236,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Wildlife; Damages; Subsidy; Natural resource economics; Wildlife conservation; Human–wildlife conflict; Incentive; Business; Population; Agriculture; Wildlife management; Livestock; Environmental resource management; Geography; Ecology; Economics","score_opus":0.17908882477229876,"score_gpt":0.3040580216224322,"score_spread":0.12496919685013341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201761680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6819283,0.0024360674,0.033495963,0.234018,0.00093815086,0.0021384757,0.000068398556,0.000034145745,0.044942506],"genre_scores_gemma":[0.87542135,0.010036135,0.073211394,0.03501375,0.0007826272,0.000110359295,0.000036262758,0.000074422634,0.005313679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981825,0.000039346953,0.0010452046,0.0002954286,0.00013550234,0.00030205934],"domain_scores_gemma":[0.99882424,0.00013455476,0.00066489435,0.00022541422,0.000046726556,0.00010415169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034792952,0.00015043563,0.00035371687,0.00047736889,0.00022270337,0.0001290096,0.00024226861,0.000054997578,0.0001515423],"category_scores_gemma":[0.00003688119,0.00016724825,0.00009974701,0.000140515,0.00009852178,0.0004936542,0.00017196697,0.00016570445,0.00007230376],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012326645,0.00040623278,0.09436663,0.0004631261,0.000624424,0.000013393061,0.00059035915,0.0026980992,0.0000073217143,0.49544737,0.38885325,0.016406503],"study_design_scores_gemma":[0.0019714627,0.00025064783,0.13152379,0.00011268072,0.000038572223,0.000009660954,0.0009829524,0.0038123608,0.000011832884,0.010952183,0.8501199,0.00021400438],"about_ca_topic_score_codex":0.000019196557,"about_ca_topic_score_gemma":0.000012083135,"teacher_disagreement_score":0.4844952,"about_ca_system_score_codex":0.00031267875,"about_ca_system_score_gemma":0.0000052764935,"threshold_uncertainty_score":0.6820185},"labels":[],"label_agreement":null},{"id":"W2201821491","doi":"10.1139/cjce-2014-0493","title":"Effects of accessibility to the transit stations on intercity travel mode choices in contexts of high speed rail in the Windsor–Quebec corridor in Canada","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sample (material); Mode choice; Transport engineering; Travel behavior; Population; Revealed preference; Data collection; Geography; Mode (computer interface); Computer science; Transit (satellite); Discrete choice; Geocoding; Windsor; Public transport; Engineering; Statistics; Econometrics; Economics; Mathematics; Environmental science","score_opus":0.03350973097196742,"score_gpt":0.1939179589311888,"score_spread":0.16040822795922138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201821491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979842,0.00024302123,0.00076916703,0.00038249278,0.00020311422,0.00016280724,0.00005233099,3.1980588e-7,0.00020255297],"genre_scores_gemma":[0.9998409,0.000007105588,0.000017753106,0.000095771036,0.000017735054,0.000003284329,0.0000016773043,0.0000060602465,0.000009723101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99917567,0.000023719247,0.0005421678,0.000083025225,0.00003868646,0.00013671031],"domain_scores_gemma":[0.99949116,0.00012685063,0.00016745554,0.00009880653,0.000011249589,0.00010445766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006485497,0.00007212089,0.00025960873,0.00025107458,0.000009290658,0.000010990911,0.00022143497,0.000026692544,0.000023998085],"category_scores_gemma":[0.0001583648,0.000063219166,0.000031111274,0.00015396437,0.000015889518,0.00013352993,0.0000041285684,0.00015937076,0.0000010354262],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016731688,0.000020384367,0.24146163,0.000032719232,0.000011419756,0.000007661244,0.0042703925,0.75304526,0.00002621864,0.0006784396,0.00007940597,0.0003497381],"study_design_scores_gemma":[0.00065209036,0.000039057697,0.98791647,0.00007952619,0.0000025660543,0.0000012462529,0.00044882006,0.0103215035,0.00017588357,0.00024365008,0.000058270907,0.000060930724],"about_ca_topic_score_codex":0.9325334,"about_ca_topic_score_gemma":0.9993205,"teacher_disagreement_score":0.74645483,"about_ca_system_score_codex":0.0010446085,"about_ca_system_score_gemma":0.00041334226,"threshold_uncertainty_score":0.2731615},"labels":[],"label_agreement":null},{"id":"W2211344971","doi":"10.4236/tel.2015.56087","title":"Hypothetical Bias for Private Goods: Does Cheap Talk Make a Difference?","year":2015,"lang":"en","type":"article","venue":"Theoretical Economics Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Egg Marketing Agency; Université Laval","funders":"Canadian Dairy Commission","keywords":"Cheap talk; Economics; Respondent; Willingness to pay; Preference; Microeconomics; Experimental economics; Gauge (firearms); Vickrey auction; Private information retrieval; Common value auction; Auction theory; Computer science","score_opus":0.10302886598670198,"score_gpt":0.21973579503551346,"score_spread":0.11670692904881148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2211344971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96400744,0.0000713812,0.016945533,0.010015839,0.0006736175,0.0004908435,0.0002472342,0.0000580836,0.007490039],"genre_scores_gemma":[0.9910345,0.000061489845,0.0037066955,0.0044194506,0.0002913776,0.00012319705,0.00006197327,0.0000670263,0.0002342746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99790204,0.00003153696,0.0008414305,0.00065813615,0.00002939979,0.00053744443],"domain_scores_gemma":[0.99871594,0.00021399646,0.00027555047,0.00047250203,0.0000075572707,0.00031448543],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011018639,0.00028681612,0.0005704787,0.000119861834,0.00008583671,0.00012322686,0.00036768208,0.00016368851,0.000569537],"category_scores_gemma":[0.0002200684,0.00027854723,0.0002255296,0.000045831574,0.0006774429,0.00014160572,0.00012376595,0.00016667736,0.00083669595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000718598,0.00007712633,0.01309409,0.000012446245,0.000053026335,9.3615614e-7,0.00019380543,0.000217451,0.00009579373,0.9852272,0.00022801892,0.00072819047],"study_design_scores_gemma":[0.0020196126,0.00016184562,0.012125174,0.000010241266,0.000023786572,0.000009476523,0.000106015505,0.012420608,0.0005682357,0.9589479,0.012982917,0.00062416436],"about_ca_topic_score_codex":0.000017663975,"about_ca_topic_score_gemma":0.0000083099885,"teacher_disagreement_score":0.027027085,"about_ca_system_score_codex":0.00037949067,"about_ca_system_score_gemma":0.00001750349,"threshold_uncertainty_score":0.9999667},"labels":[],"label_agreement":null},{"id":"W2213762862","doi":"10.1111/cjag.12097","title":"A Variable Cost Function for Corn Ethanol Plants in the Midwest","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agricultural Research Service","keywords":"Variable cost; Economics; Variable (mathematics); Production (economics); Ethanol fuel; Gallon (US); Agricultural science; Product (mathematics); Microeconomics; Welfare economics; Econometrics; Agricultural economics; Mathematics; Biofuel; Environmental science; Biotechnology; Biology; Physics","score_opus":0.13261302509930067,"score_gpt":0.17805068837583693,"score_spread":0.045437663276536255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213762862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875004,0.0006007334,0.00023688345,0.002993083,0.0022562104,0.00065135205,0.0006021159,0.000004635171,0.005154586],"genre_scores_gemma":[0.9969614,0.00004476002,0.00040693118,0.0010285611,0.0006775639,0.00007441359,0.00015123517,0.000025930081,0.0006291837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976191,0.000033688135,0.0012717202,0.00037208237,0.0000074294408,0.00069596415],"domain_scores_gemma":[0.9977808,0.00013856792,0.00095532316,0.0002561282,0.00005760801,0.0008115488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016797732,0.0002645995,0.000610112,0.00035507508,0.00016683381,0.00018574396,0.00058436964,0.00018422322,0.0002219184],"category_scores_gemma":[0.00015394906,0.00024019492,0.00019987815,0.000114888215,0.00008785041,0.00079513295,0.00001540892,0.00028177674,0.00019877387],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031539385,0.00014424992,0.22397827,0.00008123657,0.0005004896,0.000035332712,0.010051692,0.0604653,0.000029747704,0.6579988,0.04420056,0.0021989506],"study_design_scores_gemma":[0.0054466636,0.001257016,0.5928075,0.00008719439,0.00007578632,0.0007737289,0.01070359,0.0017004188,0.000031117284,0.12380069,0.26213256,0.0011837849],"about_ca_topic_score_codex":0.022825455,"about_ca_topic_score_gemma":0.37441927,"teacher_disagreement_score":0.5341981,"about_ca_system_score_codex":0.0027058981,"about_ca_system_score_gemma":0.0003941354,"threshold_uncertainty_score":0.9836816},"labels":[],"label_agreement":null},{"id":"W2215577483","doi":"10.5539/ass.v12n1p75","title":"Choice Experiment Attributes Selection: Problems and Approaches in a Modal Shift Study in Klang Valley, Malaysia","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Putra Malaysia","keywords":"Likert scale; Preference; Context (archaeology); Attendance; Selection (genetic algorithm); Diversity (politics); Modal; Qualitative research; Scale (ratio); Psychology; Focus group; Computer science; Marketing; Statistics; Mathematics; Geography; Sociology; Artificial intelligence; Economics; Business; Social science","score_opus":0.21335039066670897,"score_gpt":0.2670845979779874,"score_spread":0.053734207311278426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215577483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709991,0.00015093404,0.00009117868,0.00048549223,0.00006317562,0.00033155907,0.0000027886508,0.000009133539,0.027866632],"genre_scores_gemma":[0.9996339,0.000003970449,0.00014316247,0.000025669951,0.00005405997,0.000074798074,0.0000016603395,0.0000056728622,0.000057127225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904275,0.000019773519,0.0002746013,0.00037555472,0.000055507455,0.00023183973],"domain_scores_gemma":[0.9997597,0.00000884776,0.00009580147,0.00006680407,0.0000035873854,0.00006526666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011741449,0.00008255515,0.000171993,0.00013908773,0.00010460684,0.000074497555,0.00014240583,0.000041969135,0.000023346245],"category_scores_gemma":[0.000030188856,0.00009922163,0.000015612906,0.00036818426,0.00014337429,0.00044314013,0.000083619445,0.000083528794,0.000039457496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025578931,0.00015500472,0.9771318,0.0000020859752,0.0000024422434,3.8199394e-7,0.013747621,0.00013419687,0.000008323625,0.007303432,0.000009605511,0.0015025468],"study_design_scores_gemma":[0.0006084541,0.0000767251,0.9879957,0.0000024399899,8.491275e-7,5.3379546e-7,0.0045221965,0.0018808281,0.000013389467,0.0046758824,0.00010511092,0.00011788923],"about_ca_topic_score_codex":0.0007958649,"about_ca_topic_score_gemma":0.00037385547,"teacher_disagreement_score":0.028634772,"about_ca_system_score_codex":0.00047465644,"about_ca_system_score_gemma":0.000026712903,"threshold_uncertainty_score":0.4046141},"labels":[],"label_agreement":null},{"id":"W2219230371","doi":"10.1139/cjfr-2015-0217","title":"Public preferences for planting genetically improved poplars on public land for biofuel production in western Canada","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Genome British Columbia; Genome Canada","keywords":"Population; Production (economics); Public opinion; Biofuel; Agricultural economics; Biotechnology; Geography; Agroforestry; Biology; Economics; Demography; Political science; Sociology","score_opus":0.3816459587883377,"score_gpt":0.2880061757866013,"score_spread":0.09363978300173637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219230371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931552,0.0003831191,0.00015659128,0.0046984316,0.0004117784,0.00040623196,0.00012255089,0.0000011109222,0.000665017],"genre_scores_gemma":[0.9990293,0.000027132055,0.00032407042,0.00006333357,0.00021578553,0.000037618585,0.000029252513,0.000014236728,0.00025929871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987513,0.000029796347,0.000470009,0.00019943756,0.00006754482,0.00048192547],"domain_scores_gemma":[0.99897295,0.00009835181,0.0001932384,0.000119776436,0.00014051254,0.00047519495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028201593,0.00007722081,0.00019681959,0.0005615267,0.00011875979,0.00014687194,0.00024385488,0.00006896329,0.000020574967],"category_scores_gemma":[0.0012610662,0.000080871185,0.00003793899,0.00013313496,0.00006178225,0.0002487194,0.000011434185,0.00019329652,0.000007738281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024225528,0.000014745363,0.9945761,0.000016863756,0.000014916538,0.0000017758333,0.000080683356,0.00019021615,0.000002984964,0.0020209004,0.0012575089,0.0017990734],"study_design_scores_gemma":[0.001131628,0.0005274653,0.95168173,0.000027309641,0.0000020111333,0.00001391658,0.00022438954,0.0007605929,0.000040387367,0.019066155,0.026378851,0.00014553251],"about_ca_topic_score_codex":0.22386831,"about_ca_topic_score_gemma":0.9863296,"teacher_disagreement_score":0.7624613,"about_ca_system_score_codex":0.00096943363,"about_ca_system_score_gemma":0.0020600944,"threshold_uncertainty_score":0.7813},"labels":[],"label_agreement":null},{"id":"W2220188809","doi":"10.2139/ssrn.2403982","title":"An Empirical Study of Road-Noise Barriers Deployment","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Software deployment; Empirical research; Business; Transport engineering; Computer science; Telecommunications; Engineering; Mathematics; Statistics","score_opus":0.03523140390336131,"score_gpt":0.24619664377966569,"score_spread":0.2109652398763044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2220188809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925936,0.00041403013,0.00543901,0.00013408392,0.00014654573,0.00013133534,0.0000028246598,0.0000106992375,0.0011278576],"genre_scores_gemma":[0.9991554,0.00033666694,0.00004772992,0.00009727501,0.00011960835,0.0000072286784,0.0000027342317,0.000021775337,0.00021159684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982996,0.000060593124,0.0005730109,0.0002447311,0.000049028702,0.00077303994],"domain_scores_gemma":[0.999267,0.000013456035,0.00034929928,0.00023535328,0.000008360171,0.00012656559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002375051,0.00011520938,0.00027189363,0.0001244062,0.000122971,0.0000265105,0.00022788803,0.000054668264,0.00023266839],"category_scores_gemma":[0.000038974904,0.0001250563,0.000078815356,0.000065630295,0.00003016534,0.00023866241,0.00002359386,0.0004625429,0.00012782589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022216267,0.00033015196,0.9647408,0.0000016310719,0.00010053643,2.1666852e-7,0.0007915448,0.0012245597,0.000031475065,0.02844105,0.000030479992,0.004285332],"study_design_scores_gemma":[0.002828423,0.0036789312,0.78055847,0.00000433335,0.0000325222,0.00003299731,0.0074098967,0.0069355597,0.000043544027,0.19679604,0.0013309604,0.00034829782],"about_ca_topic_score_codex":0.00017569576,"about_ca_topic_score_gemma":0.00026897615,"teacher_disagreement_score":0.18418232,"about_ca_system_score_codex":0.0006765801,"about_ca_system_score_gemma":0.00010048158,"threshold_uncertainty_score":0.50996476},"labels":[],"label_agreement":null},{"id":"W2223077505","doi":"10.22004/ag.econ.144944","title":"Economics of Prioritising Environmental Research: An Expected Value of Partial Perfect Information (EVPPI) Framework","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Value of information; Delphi method; Value (mathematics); Management science; Ex-ante; Process (computing); Quality (philosophy); Delphi; Computer science; Environmental economics; Operations research; Business; Economics; Engineering","score_opus":0.10682076600100351,"score_gpt":0.3008013562418271,"score_spread":0.19398059024082356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2223077505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98153627,0.00056077645,0.00005909281,0.00008893565,0.0005491499,0.0013308966,0.0006586135,0.000021208494,0.0151950745],"genre_scores_gemma":[0.9774254,0.01880197,0.0025546197,0.00003164285,0.00023279327,0.00026939966,0.00045764926,0.00008694153,0.0001395935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946393,0.0003849523,0.0027369775,0.0010829681,0.00017500346,0.0009808],"domain_scores_gemma":[0.9961809,0.00060193235,0.0013267165,0.0015646337,0.000053647458,0.00027215364],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0051317085,0.00043398762,0.0012429676,0.0014511462,0.00020503569,0.00019236261,0.0010293889,0.0009674936,0.0009774094],"category_scores_gemma":[0.0005587856,0.0006015591,0.0003126337,0.00016094204,0.00091618515,0.0011671105,0.0012371371,0.0019827064,0.0002120027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044775696,0.002098617,0.5537045,0.001082412,0.00067646767,0.000006093262,0.014160669,0.11698002,0.00042366624,0.1391586,0.000098145334,0.17116304],"study_design_scores_gemma":[0.0032204476,0.0015665579,0.5591781,0.0009099026,0.000038708637,0.000016968359,0.009749936,0.18410163,0.003573326,0.22238047,0.012658421,0.0026054883],"about_ca_topic_score_codex":0.0007353242,"about_ca_topic_score_gemma":0.000036998073,"teacher_disagreement_score":0.16855754,"about_ca_system_score_codex":0.002295329,"about_ca_system_score_gemma":0.00023979617,"threshold_uncertainty_score":0.9999358},"labels":[],"label_agreement":null},{"id":"W2225423600","doi":"10.5555/arwg.13.2.920227818qlj433j","title":"Willingness to Pay in Kinabalu Park, Malasia: A Portrayal of the Meanings of Kinabalu","year":2010,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visitor pattern; Willingness to pay; Nexus (standard); Tourism; Revenue; Perception; Marketing; Business; Willingness to accept; Order (exchange); Advertising; Geography; Psychology; Economics; Engineering; Finance","score_opus":0.023368362089935313,"score_gpt":0.1986244679346187,"score_spread":0.17525610584468337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225423600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817733,0.0001034099,0.000059284383,0.00056418375,0.0004333068,0.0002538045,0.000026091686,0.000006786314,0.016779788],"genre_scores_gemma":[0.99803686,0.000022040174,0.0005837912,0.00017594837,0.000032479904,0.000028675237,0.000003864765,0.000017696664,0.0010986705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987744,0.000013836339,0.0006446012,0.00029664725,0.000046960544,0.0002235467],"domain_scores_gemma":[0.99914616,0.00003099309,0.0003683362,0.00039185924,0.000012064371,0.000050587467],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059250486,0.00012888804,0.00031456174,0.00020878071,0.000037348513,0.000010857717,0.0002751825,0.00006607514,0.0009966044],"category_scores_gemma":[0.000037003487,0.00010969721,0.00016390129,0.00052171794,0.00012703185,0.0001189471,0.000082397826,0.00020555271,0.00007812919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009372044,0.00008428448,0.97561485,0.000012591494,0.00001845185,4.6990112e-7,0.00028029762,0.00023830126,0.0002362926,0.02261606,0.00013167018,0.0007573366],"study_design_scores_gemma":[0.00035136598,0.00002660725,0.98489034,0.00002052479,0.0000065241375,0.0000010383827,0.000061904524,0.00011695971,0.0006920054,0.009155709,0.004542214,0.0001347932],"about_ca_topic_score_codex":0.0007758266,"about_ca_topic_score_gemma":0.0012796439,"teacher_disagreement_score":0.016263489,"about_ca_system_score_codex":0.000023371851,"about_ca_system_score_gemma":0.000008306955,"threshold_uncertainty_score":0.9999166},"labels":[],"label_agreement":null},{"id":"W2227902858","doi":"10.1111/jeb.12823","title":"A multigenerational effect of parental age on offspring size but not fitness in common duckweed (<i><scp>L</scp>emna minor</i>)","year":2016,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Offspring; Minor (academic); Demography; Zoology; Genetics; Humanities; Pregnancy","score_opus":0.04037817687568712,"score_gpt":0.23090201268045613,"score_spread":0.190523835804769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2227902858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99760514,0.000610663,0.00020499536,0.00020251333,0.0005186799,0.0001132059,0.0001681282,0.0000029939936,0.00057368993],"genre_scores_gemma":[0.99888724,0.00015630558,0.00038870386,0.00007816776,0.0001796263,0.000007917529,0.00001883951,0.00001016708,0.0002730139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985594,0.00008722621,0.00092869956,0.00019829586,0.000039539656,0.00018680461],"domain_scores_gemma":[0.99818426,0.00086653786,0.0007567926,0.00012296454,0.000014476112,0.000054972814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067164376,0.00013317814,0.00048596217,0.00021432515,0.000043773493,0.0000048188394,0.0001650431,0.00013245974,0.00012951663],"category_scores_gemma":[0.0003584899,0.0001090468,0.00015676812,0.000060092672,0.00013018411,0.0001732278,0.00004570636,0.00012524166,0.00010620216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009920785,0.00014429707,0.9723138,0.000010322775,0.000050026167,0.000006377132,0.000060899085,0.00064456795,0.022420248,0.0033135572,0.0003725103,0.00056414015],"study_design_scores_gemma":[0.0021318684,0.0007023249,0.98824984,0.000038919785,0.00000635378,0.00002471778,0.000024338107,0.00033970753,0.004465099,0.0028690237,0.0010788112,0.000068994064],"about_ca_topic_score_codex":0.0000607009,"about_ca_topic_score_gemma":0.000017693681,"teacher_disagreement_score":0.017955149,"about_ca_system_score_codex":0.00031681595,"about_ca_system_score_gemma":0.000020877394,"threshold_uncertainty_score":0.44467995},"labels":[],"label_agreement":null},{"id":"W2228902687","doi":"","title":"Sensitivity of community values to economic valuation technique: Evidence and explanations","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Willingness to pay; Contingent valuation; Valuation (finance); Population; Econometrics; Welfare; Discrete choice; Economics; Statistics; Actuarial science; Mathematics; Demography; Microeconomics","score_opus":0.07307339516789249,"score_gpt":0.25175828514971765,"score_spread":0.17868488998182516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228902687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9186544,0.00093627983,0.078726426,0.0005910599,0.0000638264,0.00018181113,0.000018535038,0.000010075313,0.00081761583],"genre_scores_gemma":[0.99817544,0.0009380589,0.00050569954,0.000043953693,0.00006832877,0.000013502702,0.000008430977,0.000011216543,0.00023538506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988306,0.00012197646,0.0004538541,0.00012380027,0.000028981229,0.00044076398],"domain_scores_gemma":[0.99934405,0.00013507447,0.00031345763,0.0001580326,0.00001334078,0.000036058642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006256028,0.00009210928,0.00019967965,0.00017077324,0.00020748643,0.000028593295,0.000095109404,0.000053189142,0.000034790737],"category_scores_gemma":[0.00008759893,0.00011268437,0.000053148655,0.00005380908,0.00004828887,0.00036642628,0.000043229356,0.00044460635,0.00007478883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019699537,0.00011432226,0.2699483,0.000011533288,0.00006126072,2.1598683e-7,0.00042789546,0.004449293,0.001955883,0.7185617,0.00016773642,0.004282153],"study_design_scores_gemma":[0.00019470783,0.00015152665,0.32323056,0.000015027974,0.00001006873,0.0000513605,0.00046365848,0.00086382224,0.00067595043,0.67410177,0.00011284878,0.00012869929],"about_ca_topic_score_codex":0.002441072,"about_ca_topic_score_gemma":0.001963721,"teacher_disagreement_score":0.07952105,"about_ca_system_score_codex":0.0010550643,"about_ca_system_score_gemma":0.000104222054,"threshold_uncertainty_score":0.45951352},"labels":[],"label_agreement":null},{"id":"W2234596899","doi":"10.1007/s40271-015-0155-7","title":"A Comparison of Methods for Capturing Patient Preferences for Delivery of Mental Health Services to Low-Income Hispanics Engaged in Primary Care","year":2015,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Patient-Centered Outcomes Research Institute","keywords":"Primary care; Mental health; Low income; Health care delivery; Psychology; Medicine; Nursing; Psychiatry; Family medicine; Health care; Sociology; Socioeconomics; Economics; Economic growth","score_opus":0.16667484197584873,"score_gpt":0.31877368767121694,"score_spread":0.15209884569536822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234596899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912374,0.0032959955,0.0034263511,0.000026233298,0.0002643741,0.0011425974,0.00044125775,0.0000047692824,0.00016100286],"genre_scores_gemma":[0.96384406,0.000035950772,0.035739455,0.00007364417,0.000008063607,0.00014670553,0.00013701284,0.000011896115,0.0000031863647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986879,0.000059703252,0.00083095755,0.00023049228,0.00002961539,0.00016132712],"domain_scores_gemma":[0.9991049,0.00010227433,0.0005593255,0.00013470538,0.000026028316,0.00007276341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006588907,0.00009925797,0.00044486963,0.00012435457,0.000049894814,0.000005979178,0.00010087747,0.00004269813,0.0000060871575],"category_scores_gemma":[0.000023328936,0.00011386892,0.00006879468,0.000051261737,0.000013636686,0.000089930596,0.00006993541,0.000061313316,0.0000033910108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026150473,0.00042145076,0.7663634,0.0013926929,0.00004443919,1.9100318e-8,0.13723142,0.0099805165,0.0001358328,0.00059999287,0.000053908298,0.083514825],"study_design_scores_gemma":[0.007505018,0.00965681,0.74298835,0.0010277356,0.000031880987,5.233209e-7,0.13199101,0.08123736,0.013802137,0.0033567927,0.0073249894,0.0010773637],"about_ca_topic_score_codex":0.0004544778,"about_ca_topic_score_gemma":0.0001415361,"teacher_disagreement_score":0.08243746,"about_ca_system_score_codex":0.00058359525,"about_ca_system_score_gemma":0.000031918662,"threshold_uncertainty_score":0.464344},"labels":[],"label_agreement":null},{"id":"W2235406228","doi":"10.1017/cbo9780511551079.006","title":"Estimating spatial interactions in deforestation decisions","year":2001,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Deforestation (computer science); Biodiversity; Habitat; Geography; Stock (firearms); Ecology; Ecosystem services; Habitat destruction; Extinction (optical mineralogy); Carbon stock; Spatial ecology; Ecosystem; Agroforestry; Environmental science; Biology; Climate change","score_opus":0.10068384758959276,"score_gpt":0.21573623445838572,"score_spread":0.11505238686879296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235406228","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006920562,0.00006303055,0.020461239,0.000017138871,0.00041354523,0.00025690004,0.0002795926,0.000030764568,0.9715572],"genre_scores_gemma":[0.088980086,0.000114737144,0.000786019,0.000034532284,0.000110001914,0.000002027552,0.0001951195,0.00003678182,0.9097407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998951,0.0000087885965,0.0004094007,0.000423382,0.000033908374,0.00017349584],"domain_scores_gemma":[0.9991605,0.0000726101,0.00040922358,0.00027306264,0.000012579027,0.00007197023],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001393643,0.00019924455,0.00032003142,0.00033534283,0.00011538961,0.00003340349,0.00018712603,0.00014195414,0.00008553926],"category_scores_gemma":[0.000025746878,0.00030120343,0.00012749429,0.000008220575,0.0000712549,0.00018450791,0.00012610985,0.0002937639,0.00027401577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020402784,0.000017376738,0.0018360063,0.000009971944,0.00003917266,0.000034125052,0.00007520603,0.0014335725,0.0000011905976,0.99115497,0.001965919,0.0034120984],"study_design_scores_gemma":[0.0013722852,0.00005305389,0.018542757,0.00026188852,0.00005674396,0.0000205365,0.0000686893,0.043369364,0.000008218451,0.002499767,0.9328979,0.00084877555],"about_ca_topic_score_codex":0.0013893496,"about_ca_topic_score_gemma":0.00013945204,"teacher_disagreement_score":0.9886552,"about_ca_system_score_codex":0.0006856504,"about_ca_system_score_gemma":0.000018524303,"threshold_uncertainty_score":0.99994403},"labels":[],"label_agreement":null},{"id":"W2236115992","doi":"10.1071/mf15374","title":"Exploring non-stationary and scale-dependent relationships between walleye (Sander vitreus) distribution and habitat variables in Lake Erie","year":2016,"lang":"en","type":"article","venue":"Marine and Freshwater Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Ocean University of China; Great Lakes Fishery Commission","keywords":"Habitat; Linear regression; Spatial ecology; Spatial distribution; Regression analysis; Scale (ratio); Regression; Spatial analysis; Variables; Ecology; Generalized linear model; Environmental science; Statistics; Geography; Mathematics; Biology; Cartography","score_opus":0.31194466357273065,"score_gpt":0.2730974044762818,"score_spread":0.03884725909644887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236115992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99541825,0.00014797985,0.00096459757,0.0013997803,0.00003006898,0.0001958135,0.00050689984,0.00000822897,0.0013284064],"genre_scores_gemma":[0.9968103,0.0015027424,0.00030704125,0.000009749058,0.000053875545,0.00008128798,0.0002045565,0.000013497851,0.0010169267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894196,0.000057533216,0.00032249113,0.0003638036,0.00005648198,0.00025771436],"domain_scores_gemma":[0.999511,0.0002018894,0.000047095218,0.0001333482,0.000012611505,0.000094033465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015705792,0.00009671374,0.00017843195,0.00018358378,0.00018956355,0.00006988304,0.000058245038,0.00007030608,0.00028749232],"category_scores_gemma":[0.00006515946,0.00008560501,0.000014153158,0.00007867472,0.0001466162,0.00056710077,0.00027033765,0.00017771128,0.00007022792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017872784,0.000020480344,0.99194837,0.000020067346,0.000012370623,0.0000019959054,0.00027575568,0.000004103815,0.000039213406,0.0024214927,0.00011470548,0.0051235682],"study_design_scores_gemma":[0.00080099626,0.000049419104,0.9661489,0.000020253328,0.0000024827414,0.0000022960162,0.0001435349,0.0005016745,0.00006969368,0.025097463,0.0070418273,0.000121439865],"about_ca_topic_score_codex":0.0003386809,"about_ca_topic_score_gemma":0.008784564,"teacher_disagreement_score":0.025799455,"about_ca_system_score_codex":0.0000923836,"about_ca_system_score_gemma":0.000006189892,"threshold_uncertainty_score":0.49019933},"labels":[],"label_agreement":null},{"id":"W2238342614","doi":"10.1287/opre.2015.1458","title":"The Empirical Implications of Privacy-Aware Choice","year":2016,"lang":"en","type":"article","venue":"Operations Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Conceptualization; Computer science; Consumer choice; Information privacy; Internet privacy; Microeconomics; Economics; Artificial intelligence","score_opus":0.569019847385555,"score_gpt":0.4100003937164621,"score_spread":0.15901945366909293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238342614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94301254,0.0003507494,0.0072437623,0.032599103,0.00007561683,0.00033842842,0.00012809459,0.000010882266,0.016240813],"genre_scores_gemma":[0.99122405,0.00041202197,0.00021353339,0.000044911078,0.000055475775,0.00012626349,0.00000853036,0.0000089746245,0.007906242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991789,0.00004347103,0.0003422391,0.00019921821,0.000043256732,0.00019290179],"domain_scores_gemma":[0.99909365,0.0003266737,0.00003340901,0.00044840737,0.000050127113,0.000047703576],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010446524,0.00004656389,0.00009065731,0.000086833825,0.00046994069,0.000051486597,0.00029031606,0.000042485754,0.00074979645],"category_scores_gemma":[0.00039479346,0.00003163941,0.000039734514,0.00016491822,0.00020814256,0.00018166075,0.00010594667,0.0000818083,0.0015967585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004396395,0.00010649439,0.6475123,0.000004073188,0.000028794959,6.461718e-8,0.00033984406,0.00018950108,0.0011505879,0.33147457,0.010439992,0.008749375],"study_design_scores_gemma":[0.0002713187,0.00004912942,0.88878703,0.0000058261953,0.0000010457478,7.8168074e-7,0.00008943484,0.0011167456,0.0004869066,0.01222012,0.09689437,0.00007730825],"about_ca_topic_score_codex":0.00013879982,"about_ca_topic_score_gemma":0.0001715532,"teacher_disagreement_score":0.31925443,"about_ca_system_score_codex":0.00015562182,"about_ca_system_score_gemma":0.000034863548,"threshold_uncertainty_score":0.9991806},"labels":[],"label_agreement":null},{"id":"W2240143828","doi":"","title":"Value of E-Banking to Small and Medium-Sized Enterprises","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Value (mathematics); Small and medium-sized enterprises; Commerce; Industrial organization; Finance","score_opus":0.12024337198585107,"score_gpt":0.29368153605879677,"score_spread":0.1734381640729457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240143828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9262629,0.0007234247,0.000043317777,0.0004737539,0.0004909315,0.00075780426,0.0002119452,0.000016831154,0.07101905],"genre_scores_gemma":[0.9899497,0.006532689,0.002118992,0.00012696418,0.00015169568,0.00017566857,0.00006387876,0.000068885915,0.00081151695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99690056,0.0000966886,0.0013185744,0.0010479124,0.000071213544,0.0005650523],"domain_scores_gemma":[0.99813503,0.0002636419,0.00049997,0.0007973832,0.000036967096,0.00026702628],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003805983,0.0003049114,0.0009608688,0.00078493555,0.000070700116,0.00009620849,0.00059596315,0.0003940627,0.00025196336],"category_scores_gemma":[0.0004923316,0.00040073693,0.00014602423,0.00009289882,0.00024849703,0.00011607764,0.0014656505,0.0007330329,0.000079845166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026721673,0.00040546732,0.8947335,0.0005293627,0.0003477331,0.000011959895,0.0038254221,0.03746103,0.00015289149,0.013229947,0.0002598587,0.048775643],"study_design_scores_gemma":[0.0043355967,0.0006275539,0.7356729,0.000803511,0.000033558896,0.000015787713,0.0019496597,0.021987433,0.0008398183,0.20483674,0.026782418,0.00211505],"about_ca_topic_score_codex":0.00040911435,"about_ca_topic_score_gemma":0.00019113485,"teacher_disagreement_score":0.19160679,"about_ca_system_score_codex":0.0011600426,"about_ca_system_score_gemma":0.00020368028,"threshold_uncertainty_score":0.99984443},"labels":[],"label_agreement":null},{"id":"W2241616371","doi":"","title":"Natural Capital: Theory and Practice of Mapping Ecosystem Services","year":2011,"lang":"en","type":"book","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":708,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural capital; Ecosystem services; Natural (archaeology); Environmental resource management; Geography; Ecosystem; Environmental science; Ecology; Biology; Archaeology","score_opus":0.06407710252332975,"score_gpt":0.2597836038880723,"score_spread":0.19570650136474255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241616371","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106406465,0.0048154807,0.000003922303,0.000052108553,0.00039998777,0.00060041697,0.00023706701,0.000017648968,0.8874669],"genre_scores_gemma":[0.7485762,0.034107868,0.0007036346,0.00017889892,0.00027113856,0.000106229956,0.00019356405,0.0001752267,0.2156872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971431,0.00018150045,0.0012657583,0.0008580072,0.000061103354,0.0004905166],"domain_scores_gemma":[0.99711466,0.0011042032,0.000982083,0.00064630696,0.000034832297,0.0001179139],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005647201,0.00031751054,0.0008557951,0.00063988153,0.00010307946,0.00006333926,0.00045690069,0.00042957097,0.00042896095],"category_scores_gemma":[0.00026394508,0.0004007677,0.0001500062,0.000048384933,0.00026408507,0.00048072278,0.00036961085,0.0007359878,0.00022891426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005534357,0.00038527467,0.026144173,0.002678847,0.0012015708,0.000039886178,0.010939087,0.0003048369,0.000053251963,0.8840614,0.0003021058,0.07333614],"study_design_scores_gemma":[0.0028593044,0.00046840805,0.040628098,0.0012062392,0.000060160317,0.00014181365,0.010391654,0.002847655,0.00006306876,0.27633515,0.6626869,0.002311588],"about_ca_topic_score_codex":0.00008166628,"about_ca_topic_score_gemma":0.000112575006,"teacher_disagreement_score":0.6717797,"about_ca_system_score_codex":0.0010430764,"about_ca_system_score_gemma":0.00009951576,"threshold_uncertainty_score":0.99984443},"labels":[],"label_agreement":null},{"id":"W2248426687","doi":"","title":"Quantifying Equity with Messrs. Markov, Lorenz and Gini: Retaining and Distributing Benefits in Natural Resource-dependent Communities","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Gini coefficient; Equity (law); Markov chain; Liberian dollar; Natural resource; Lorenz curve; Resource (disambiguation); Econometrics; Economics; Environmental economics; Computer science; Statistics; Finance; Inequality; Mathematics; Economic inequality","score_opus":0.12961690364683018,"score_gpt":0.2399130537197314,"score_spread":0.11029615007290122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248426687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850029,0.0012758555,0.00043683653,0.00022230008,0.00003276905,0.00009292886,0.000018417537,0.000018400244,0.012899638],"genre_scores_gemma":[0.998883,0.00019210599,0.0005945008,0.00014045887,0.000020163485,0.000007155921,0.00003921917,0.000014204182,0.00010919234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999141,0.00002898876,0.0003447976,0.0002309224,0.000027716407,0.00022660746],"domain_scores_gemma":[0.99949354,0.00012840854,0.00016339167,0.00016442807,0.0000036264632,0.00004658406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00115703,0.00012531756,0.0002653643,0.000090137204,0.00015616776,0.00010096828,0.000091703914,0.000055308545,0.00006415179],"category_scores_gemma":[0.000034542987,0.00012767053,0.00001700196,0.000045672314,0.00009539872,0.00024113034,0.00023044636,0.00017705798,0.000010236665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001593673,0.000010890147,0.9453348,0.000020665606,0.0000117787185,3.2292849e-7,0.0007154778,0.00022797403,0.000003121531,0.044527806,0.000008197016,0.009123024],"study_design_scores_gemma":[0.0009140154,0.00006960169,0.96268404,0.00005708837,0.00000524296,0.000008703055,0.0031135122,0.030704342,0.000047656675,0.0016794592,0.00045053122,0.00026583893],"about_ca_topic_score_codex":0.00072574895,"about_ca_topic_score_gemma":0.0012566496,"teacher_disagreement_score":0.04284835,"about_ca_system_score_codex":0.00008563279,"about_ca_system_score_gemma":0.000002772106,"threshold_uncertainty_score":0.5206253},"labels":[],"label_agreement":null},{"id":"W2248764469","doi":"10.11575/prism/10148","title":"Progress and Problems in Canada’s Protected Areas: Overview of Progress, Chronic Issues and Emerging Challenges in the Early 21st Century","year":2008,"lang":"en","type":"article","venue":"Open MIND","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Parks Canada; Ministry of Natural Resources","keywords":"Pace; Visitor pattern; Environmental planning; Accountability; Environmental resource management; Corporate governance; Scale (ratio); Protected area; Business; Political science; Geography; Computer science; Environmental science","score_opus":0.1614192577725299,"score_gpt":0.26290169864009183,"score_spread":0.10148244086756192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248764469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88286,0.11419304,1.4644279e-7,0.0008954591,0.000018352157,0.0008449788,0.000017190585,3.8460405e-7,0.0011704206],"genre_scores_gemma":[0.96710515,0.03254202,0.00018756014,0.000007785102,0.0000115150915,0.00010636947,0.0000065145737,0.000007525405,0.000025579537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917436,0.000027464877,0.0003508652,0.00026329374,0.000030157396,0.00015388725],"domain_scores_gemma":[0.9996343,0.000012051998,0.00018674677,0.00013977448,0.0000035547812,0.000023573235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018424,0.00009196115,0.0002385944,0.000055726337,0.000042057607,0.000028087023,0.00016210056,0.00003137474,0.00011186181],"category_scores_gemma":[0.0000071096792,0.000085444175,0.000010585022,0.00006827977,0.00008717585,0.00022374239,0.000086815904,0.00008161164,0.0000068986797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004533749,0.00005294847,0.9208802,0.000068044516,0.000010880988,0.000003606719,0.0033580794,0.000013505397,0.0000014224117,0.00045317042,0.00000570778,0.075147875],"study_design_scores_gemma":[0.00049791625,0.00006408826,0.99044806,0.000106315165,0.0000019365668,0.000007535637,0.0008940556,0.0002734174,0.00001835599,0.00024104609,0.0073335073,0.000113766306],"about_ca_topic_score_codex":0.1358576,"about_ca_topic_score_gemma":0.34990677,"teacher_disagreement_score":0.21404919,"about_ca_system_score_codex":0.00016197182,"about_ca_system_score_gemma":0.00007473297,"threshold_uncertainty_score":0.86989677},"labels":[],"label_agreement":null},{"id":"W2249301682","doi":"","title":"Respondent uncertainty in contingent valuation: the case of whale conservation in Newfoundland and Labrador","year":2009,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Contingent valuation; Respondent; Willingness to pay; Whale; Subsidy; Sample (material); Phone; Valuation (finance); Payment; Economics; Actuarial science; Geography; Public economics; Business; Political science; Microeconomics; Accounting; Fishery","score_opus":0.07249942335483943,"score_gpt":0.21976489077230166,"score_spread":0.14726546741746221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2249301682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99145687,0.0015253376,0.00022941691,0.0016127167,0.000072375566,0.0005706712,0.00036535953,0.0000073336905,0.0041599334],"genre_scores_gemma":[0.9955938,0.002422588,0.0011657774,0.00010318507,0.00001792743,0.0000024919937,0.00014490321,0.00001379166,0.0005355736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982147,0.00026637592,0.0006858903,0.0005360356,0.00007553042,0.0002214335],"domain_scores_gemma":[0.9982634,0.00031864826,0.0007914139,0.00052744785,0.00003353706,0.00006554543],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001740052,0.00022529773,0.00063474535,0.00038892627,0.00012926127,0.000021105921,0.000409452,0.00018256769,0.00017280316],"category_scores_gemma":[0.00013724064,0.00027472986,0.0001596887,0.00013682147,0.0004117804,0.00014844596,0.000546635,0.0004968209,0.000008266618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011095632,0.00082342915,0.8185654,0.00053225463,0.00033222526,0.000430783,0.08401747,0.022386972,0.00009764064,0.05150418,0.00041452114,0.019785501],"study_design_scores_gemma":[0.0021813803,0.00014907685,0.8630723,0.00028222607,0.000041863266,0.00004396941,0.010886944,0.092967175,0.0000036966976,0.02844869,0.0015744509,0.0003482405],"about_ca_topic_score_codex":0.08026302,"about_ca_topic_score_gemma":0.11015931,"teacher_disagreement_score":0.07313053,"about_ca_system_score_codex":0.00055857125,"about_ca_system_score_gemma":0.00009950193,"threshold_uncertainty_score":0.9999705},"labels":[],"label_agreement":null},{"id":"W2252354617","doi":"10.22004/ag.econ.134293","title":"The Impact of Agriculture on Waterfowl Abundance: Evidence from Panel Data","year":2012,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Waterfowl; Wetland; Productivity; Externality; Agriculture; Panel data; Abundance (ecology); Habitat; Range (aeronautics); Geography; Natural resource economics; Environmental resource management; Ecology; Environmental science; Economics; Econometrics; Biology","score_opus":0.2763801325137116,"score_gpt":0.2665049983023967,"score_spread":0.009875134211314862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252354617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995398,0.0012686441,0.00020968827,0.00037694868,0.00010344588,0.00014330946,0.0006238764,0.000005140727,0.001870944],"genre_scores_gemma":[0.99596363,0.0021778117,0.0002444541,0.000011648216,0.00006163046,3.0340777e-7,0.000107774154,0.000007343735,0.0014254263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910355,0.0000450914,0.00022326068,0.00028760146,0.0000646695,0.00027583467],"domain_scores_gemma":[0.9987099,0.00024345466,0.00026363813,0.0006666122,0.000017558525,0.000098809025],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009033887,0.000111256704,0.00025713857,0.000065519875,0.00018689502,0.000017166778,0.0007462204,0.00008372435,0.0015140938],"category_scores_gemma":[0.00004794357,0.00009881904,0.00011419263,0.00009868343,0.00019173985,0.0009566408,0.0002873507,0.00014255613,0.0010861097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009845936,0.00018163297,0.97807884,0.000019151694,0.0002095974,0.0000016496697,0.003379626,0.00044777265,0.0012247638,0.0016023901,0.01004356,0.0047125476],"study_design_scores_gemma":[0.00032195152,0.00011391014,0.9936869,0.000027676702,0.00001083865,8.348943e-7,0.0011688696,0.0013858193,0.0003186481,0.00024099964,0.0025995506,0.00012399463],"about_ca_topic_score_codex":0.007762236,"about_ca_topic_score_gemma":0.00022868568,"teacher_disagreement_score":0.015608057,"about_ca_system_score_codex":0.00015554085,"about_ca_system_score_gemma":0.000016578557,"threshold_uncertainty_score":0.99969167},"labels":[],"label_agreement":null},{"id":"W2253760496","doi":"10.1515/2152-2812.1084","title":"Gain and Loss Domains and the Choice of Welfare Measure of Positive and Negative Changes","year":2012,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Measure (data warehouse); Equivalence (formal languages); Compensation (psychology); Willingness to accept; Economics; Welfare; Willingness to pay; Econometrics; Value (mathematics); Microeconomics; Public economics; Mathematics; Computer science; Statistics; Psychology; Social psychology","score_opus":0.04145325732786882,"score_gpt":0.22494917932136946,"score_spread":0.18349592199350062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253760496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99005216,0.007726661,0.00030397793,0.0013022027,0.000031157288,0.00008151748,0.00010450627,6.39684e-7,0.00039719872],"genre_scores_gemma":[0.99752474,0.0021438901,0.00019448252,0.00005105707,0.000050961036,0.0000019577494,0.000003358113,0.0000059993636,0.000023583767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922985,0.000032102358,0.00047864375,0.000102615275,0.000048396956,0.000108387256],"domain_scores_gemma":[0.99862176,0.00016648904,0.0010097286,0.000095759744,0.000036498233,0.000069783404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010746488,0.00009259434,0.0005528919,0.00024736923,0.00006975399,0.000016095451,0.000065564745,0.00005174321,0.000060234986],"category_scores_gemma":[0.00006932553,0.00007316926,0.0001223771,0.00017652544,0.00019223434,0.00023306742,0.00003965428,0.0000848214,8.338012e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007566446,0.00004449411,0.98260653,0.000015568608,0.0012448316,3.0176366e-7,0.0021241386,0.00024648098,0.000053382846,0.011447804,0.000006173075,0.002134653],"study_design_scores_gemma":[0.0011702864,0.000061389685,0.9946144,0.00001557757,0.00053338025,0.000007600652,0.0009775055,0.00063077733,0.00030598172,0.0015249491,0.00007826646,0.000079835336],"about_ca_topic_score_codex":0.0002746465,"about_ca_topic_score_gemma":0.00015701566,"teacher_disagreement_score":0.012007943,"about_ca_system_score_codex":0.000039294177,"about_ca_system_score_gemma":0.0000025563036,"threshold_uncertainty_score":0.29837558},"labels":[],"label_agreement":null},{"id":"W2254003573","doi":"","title":"La valeur économique pour l’amélioration de la qualité de l’eau: le cas de la rivière Magog et du lac Magog (Québec, Canada)","year":2015,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Forestry; Humanities; Physics; Political science; Geography; Philosophy","score_opus":0.07523576925573472,"score_gpt":0.2971792682334225,"score_spread":0.22194349897768778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254003573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81177527,0.00093535194,0.00027761504,0.007100775,0.00035189642,0.0006512833,0.00055159006,0.00003462729,0.17832161],"genre_scores_gemma":[0.9549192,0.026745692,0.0029234155,0.00070699427,0.00047808717,0.00041522365,0.00025686395,0.0002167332,0.013337758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99219954,0.0028227593,0.001791581,0.0015650999,0.00011495301,0.0015060653],"domain_scores_gemma":[0.99395716,0.0032151435,0.00092247955,0.0011956956,0.00006534023,0.00064415706],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.020894023,0.00068517466,0.0011906727,0.0005657072,0.0003383698,0.00055539934,0.0010841457,0.0015203421,0.000506085],"category_scores_gemma":[0.001851229,0.0010319848,0.0003286013,0.00014541553,0.00090232125,0.00051694695,0.0009240313,0.002785357,0.00015941236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00012385898,0.0004588456,0.75889087,0.00021849507,0.00024083287,0.00011938831,0.0025638952,0.15503986,0.00005887332,0.06023822,0.0039175865,0.018129246],"study_design_scores_gemma":[0.0020604564,0.00009318676,0.5063793,0.00015770971,0.000027375136,0.00018088098,0.0027678208,0.0925458,0.00011211645,0.024397893,0.37014753,0.0011299062],"about_ca_topic_score_codex":0.64246476,"about_ca_topic_score_gemma":0.70677036,"teacher_disagreement_score":0.36622995,"about_ca_system_score_codex":0.023778975,"about_ca_system_score_gemma":0.010768674,"threshold_uncertainty_score":0.9997759},"labels":[],"label_agreement":null},{"id":"W2259816205","doi":"10.12735/jotr.v2i2p01","title":"Cautionary Note on Computing Site-Specific Recreational Demand Elasticities and Welfare Estimates","year":2015,"lang":"en","type":"article","venue":"Journal of Tourism and Recreation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recreation; Economics; Welfare; Econometrics; Natural resource economics; Microeconomics; Public economics; Market economy; Ecology","score_opus":0.07016916089669942,"score_gpt":0.22930087048384795,"score_spread":0.15913170958714853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259816205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835979,0.0037440183,0.0079646,0.0011302042,0.00025706514,0.00006433747,0.00001861992,0.0000056522317,0.003217606],"genre_scores_gemma":[0.9931198,0.0011836768,0.00516173,0.000051891595,0.00025654558,8.8024785e-7,0.000024463232,0.000008058427,0.00019296557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932283,0.000015505224,0.00041231405,0.0001234838,0.00004554799,0.00008032371],"domain_scores_gemma":[0.99935675,0.000083714825,0.0003960911,0.000047575468,0.000027398639,0.000088469766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005141722,0.000084604304,0.00019732755,0.00014028985,0.00011884887,0.000049586168,0.000032624775,0.000064036474,0.00006860951],"category_scores_gemma":[0.00006738878,0.00008178836,0.00003215366,0.00002908766,0.000051444455,0.00022212908,0.000018743784,0.000091228496,0.000021638107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004570394,0.0002727723,0.81222636,0.00007656296,0.00015365363,0.000030967007,0.0050926693,0.027714528,0.0001966901,0.11821618,0.011579226,0.023983344],"study_design_scores_gemma":[0.0015579371,0.00045446987,0.9357281,0.00010362778,0.000027150078,0.00013469293,0.0005834245,0.017202433,0.00011037836,0.03197295,0.011901586,0.00022330621],"about_ca_topic_score_codex":0.000019727815,"about_ca_topic_score_gemma":9.417561e-7,"teacher_disagreement_score":0.12350167,"about_ca_system_score_codex":0.00010152803,"about_ca_system_score_gemma":0.0000090445765,"threshold_uncertainty_score":0.33352327},"labels":[],"label_agreement":null},{"id":"W2262165990","doi":"10.1509/jmr.12.0518","title":"Capturing Context-Sensitive Information Usage in Choice Models via Mixtures of Information Archetypes","year":2016,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Saskatchewan","funders":"","keywords":"Bounded rationality; Context (archaeology); Computer science; Archetype; Conceptualization; Rationality; Perspective (graphical); Ecological rationality; Information integration; Data science; Artificial intelligence; Data mining; Epistemology","score_opus":0.11782452697989294,"score_gpt":0.27348790566527814,"score_spread":0.1556633786853852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262165990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983624,0.00017705643,0.008333936,0.0005134648,0.00009068637,0.00012433741,0.000017742093,0.0000022176418,0.007116575],"genre_scores_gemma":[0.9991172,0.0003630376,0.00036516588,0.000040597795,0.0000481816,0.0000027758626,0.0000023155765,0.0000046961727,0.000056016015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984406,0.00017035415,0.0009789695,0.00006642858,0.00012734214,0.00021628564],"domain_scores_gemma":[0.99806273,0.00096833083,0.00071046414,0.00009758099,0.000112715235,0.000048203237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012472961,0.000065852255,0.00022166777,0.0006629684,0.000043959204,0.000034182296,0.00014901422,0.00007032775,0.000089422465],"category_scores_gemma":[0.0020530666,0.000056437155,0.00006353539,0.00012296534,0.00007431811,0.0024438223,0.00006509037,0.00023604142,0.00006986099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016662764,0.00015992098,0.68781805,0.0003289844,0.0001564218,0.00000396239,0.009486066,0.005099379,0.0016303158,0.013322879,0.001301872,0.27902588],"study_design_scores_gemma":[0.0018730861,0.00013802291,0.96202064,0.00035617486,0.0000031854443,0.000013673916,0.0011906087,0.010335452,0.0015655172,0.019843757,0.0025012144,0.00015865758],"about_ca_topic_score_codex":0.00025289448,"about_ca_topic_score_gemma":0.000022502245,"teacher_disagreement_score":0.27886721,"about_ca_system_score_codex":0.0003442117,"about_ca_system_score_gemma":0.000031599502,"threshold_uncertainty_score":0.4322904},"labels":[],"label_agreement":null},{"id":"W2263562626","doi":"10.1111/cjag.12113","title":"Consumer Preferences for Improved Hen Housing: Is a Cage a Cage?","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; Université Laval","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Cage; Humanities; Agricultural science; Welfare economics; Business; Political science; Economics; Mathematics; Art; Combinatorics; Biology","score_opus":0.08533354808500239,"score_gpt":0.17180512192316924,"score_spread":0.08647157383816685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263562626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866623,0.00095947966,0.000193041,0.0064046388,0.0017206032,0.000517693,0.0021134303,0.000010798364,0.0014180158],"genre_scores_gemma":[0.99490094,0.00035973088,0.0006634358,0.00084334076,0.00063164695,0.000044066597,0.000043146323,0.000048867438,0.0024648046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99675,0.000020177362,0.0016474008,0.00062132574,0.000006487155,0.0009545999],"domain_scores_gemma":[0.9965555,0.00015797533,0.0015647549,0.0003441729,0.000093318784,0.0012842534],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067239313,0.0004048265,0.0009480118,0.00040604296,0.00027167186,0.0001912839,0.000621676,0.00023894831,0.0015023324],"category_scores_gemma":[0.00013395313,0.00034085923,0.00047707986,0.000079378675,0.00020495143,0.0010622339,0.00002990048,0.00017829121,0.00029556346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034053443,0.00019306767,0.6706033,0.00027742743,0.003324169,0.00004352101,0.009407222,0.001492543,0.0015295506,0.2083781,0.077819504,0.026591098],"study_design_scores_gemma":[0.008210618,0.0016426463,0.5207056,0.00027486344,0.00022828286,0.00047929067,0.0030554144,0.00048313875,0.0011749075,0.080279805,0.38044932,0.0030161296],"about_ca_topic_score_codex":0.019355986,"about_ca_topic_score_gemma":0.3324344,"teacher_disagreement_score":0.31307837,"about_ca_system_score_codex":0.0028524564,"about_ca_system_score_gemma":0.00040551613,"threshold_uncertainty_score":0.99990433},"labels":[],"label_agreement":null},{"id":"W2263842836","doi":"","title":"Heterogeneous D-Error Designs for Discrete Choice Experiments Using Prior Beliefs","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematical optimization; Computer science; Design of experiments; Prior probability; Discrete choice; Optimal design; Orthogonality; Mathematics; Statistics; Machine learning; Artificial intelligence; Bayesian probability","score_opus":0.1342786802430331,"score_gpt":0.29648883229022743,"score_spread":0.16221015204719433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263842836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7367033,0.0036863433,0.25858718,0.00007398043,0.00028514225,0.00024064655,0.0000126840105,0.0000120616705,0.00039872449],"genre_scores_gemma":[0.99582136,0.00045072203,0.00221751,0.00013603328,0.00038721706,0.000010703109,0.000009806752,0.000045193483,0.0009214658],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974288,0.000011648819,0.0006209844,0.00029857364,0.000040514635,0.001599497],"domain_scores_gemma":[0.99926627,0.000044815948,0.00041735734,0.00015964101,0.000010508473,0.00010143702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020505895,0.00016668798,0.00025225908,0.00013826098,0.00031499725,0.00005358006,0.00020221646,0.00009364885,0.000107998116],"category_scores_gemma":[0.000040926585,0.00019277324,0.00017601805,0.000059398877,0.000035405665,0.0002804172,0.00003090768,0.00037448504,0.00010127261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005537178,0.0008369615,0.4833437,0.000060507235,0.0019190052,0.000010580677,0.0027308967,0.014328501,0.011878453,0.450685,0.00017647438,0.033476207],"study_design_scores_gemma":[0.0135309845,0.0031921526,0.09268205,0.00008768479,0.00017795773,0.0011476892,0.0037268945,0.026810616,0.015556198,0.8148122,0.025145786,0.0031297887],"about_ca_topic_score_codex":0.00008544173,"about_ca_topic_score_gemma":0.00015338235,"teacher_disagreement_score":0.39066166,"about_ca_system_score_codex":0.002036815,"about_ca_system_score_gemma":0.00011602314,"threshold_uncertainty_score":0.78610647},"labels":[],"label_agreement":null},{"id":"W2264405863","doi":"10.1016/j.vaccine.2013.05.089","title":"The marginal willingness-to-pay for attributes of a hypothetical HIV vaccine","year":2013,"lang":"en","type":"article","venue":"Vaccine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Medical Research Council; Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Willingness to pay; Mixed logit; Logistic regression; HIV vaccine; Medicine; Vaccine efficacy; Vaccination; Conjoint analysis; Logit; Human immunodeficiency virus (HIV); Actuarial science; Family medicine; Statistics; Immunology; Mathematics; Vaccine trial; Business; Economics; Preference; Internal medicine","score_opus":0.05428911951335439,"score_gpt":0.21249567594521046,"score_spread":0.15820655643185608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264405863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669922,0.00061733765,0.016603012,0.013794552,0.00025836893,0.0007086842,0.00011863311,0.000017291844,0.0008899],"genre_scores_gemma":[0.9950058,0.00013046691,0.0018644073,0.00023417511,0.00012785659,0.00014945732,0.00002356004,0.000020821333,0.0024434943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990041,0.0000064092674,0.00050940696,0.0002297777,0.000020452077,0.0002298479],"domain_scores_gemma":[0.9993151,0.00015610203,0.00017967785,0.0002602118,0.000020453092,0.00006846162],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039034412,0.000106879255,0.00025902907,0.00005030712,0.000103095066,0.000031484036,0.00018728682,0.00004879688,0.00090276735],"category_scores_gemma":[0.00010799703,0.00007928793,0.00008677279,0.00007971783,0.0000068147833,0.00011422709,0.00004948607,0.000055196153,0.0012977154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069042304,0.00010681642,0.89076227,0.000027493255,0.00006479312,1.2478299e-7,0.000098969394,0.00039463397,0.00031620354,0.07832359,0.0254523,0.0043837484],"study_design_scores_gemma":[0.0011593417,0.00016652154,0.8896966,0.000007472136,0.000009790235,0.0000017394729,0.000043870896,0.005908367,0.0005808552,0.03252543,0.06973696,0.00016304775],"about_ca_topic_score_codex":0.00004372382,"about_ca_topic_score_gemma":0.0000076642345,"teacher_disagreement_score":0.045798156,"about_ca_system_score_codex":0.0000542317,"about_ca_system_score_gemma":0.0000052127843,"threshold_uncertainty_score":0.9994799},"labels":[],"label_agreement":null},{"id":"W2268043887","doi":"","title":"Proper - and Improper - Deductions for Conservation Easement Donations, Including Developer Donations","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Easement; Enforcement; Donation; Business; Tax deduction; Finance; Real estate; Economics; Law and economics; Public economics; Law; Tax reform; Political science","score_opus":0.09415438003785925,"score_gpt":0.2374195809663547,"score_spread":0.14326520092849546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268043887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7993059,0.0026373744,0.18348859,0.012784728,0.0002726609,0.0004951395,0.000032874254,0.00002148657,0.0009612272],"genre_scores_gemma":[0.99189746,0.0023247155,0.0034123152,0.00033870398,0.00014113827,0.000092372735,0.00003766938,0.00002158691,0.0017340147],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986934,0.000009237069,0.00043637527,0.00022596207,0.00003441097,0.0006005886],"domain_scores_gemma":[0.9995984,0.000015607737,0.00021261918,0.00008511654,0.000036703725,0.00005157735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011880639,0.000108979984,0.0001404441,0.00015638724,0.00053828175,0.00006962856,0.00008576883,0.000056609693,0.000065983426],"category_scores_gemma":[0.00006886486,0.00011443864,0.000055862085,0.000086038286,0.000045494737,0.0005118508,0.000028825629,0.00028784096,0.00007392935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000923402,0.00007403482,0.02654552,0.000005685351,0.000100217825,7.863851e-8,0.00027091487,0.0010251929,0.00013289443,0.9690744,0.00008816251,0.0026736653],"study_design_scores_gemma":[0.00240367,0.00020644414,0.0651552,0.00001689312,0.000032136628,0.00011198292,0.0011866852,0.0013686719,0.000128686,0.91185313,0.017180571,0.000355947],"about_ca_topic_score_codex":0.00016448418,"about_ca_topic_score_gemma":0.000396411,"teacher_disagreement_score":0.19259156,"about_ca_system_score_codex":0.0017024094,"about_ca_system_score_gemma":0.00034974967,"threshold_uncertainty_score":0.46666723},"labels":[],"label_agreement":null},{"id":"W2269149943","doi":"10.7287/peerj.preprints.1033v1","title":"Efficient routes to land conservation given risk of covenant failure","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Covenant; Business; Enforcement; Investment (military); Natural resource economics; Biodiversity; Environmental resource management; Biodiversity conservation; Environmental planning; Economics; Geography; Ecology; Law","score_opus":0.07775769335639184,"score_gpt":0.21791069298578727,"score_spread":0.14015299962939542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269149943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730526,0.00033548623,0.015670514,0.001291532,0.00037475716,0.0004938763,0.0010032817,0.000022342558,0.007755574],"genre_scores_gemma":[0.99497604,0.000077239325,0.0035980525,0.00017341696,0.00006237462,0.00004224133,0.00016536612,0.000021426946,0.0008838322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862164,0.000021263115,0.00071152573,0.00044595185,0.000040169383,0.00015942381],"domain_scores_gemma":[0.9987305,0.00003984221,0.00070158235,0.00040459976,0.000028354447,0.000095149946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000893053,0.00017743494,0.0004885894,0.00016050473,0.000033056018,0.00003327247,0.00019605187,0.00019502903,0.00046651464],"category_scores_gemma":[0.000120692646,0.00019086608,0.00011768599,0.000057327692,0.000036259586,0.0000319889,0.00032099226,0.00017114214,0.0009864066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014230226,0.00008148483,0.7821258,0.000047863243,0.00008825276,2.5849877e-7,0.00051662955,0.20083836,0.00000728283,0.008450927,0.0076760445,0.00015288952],"study_design_scores_gemma":[0.001080368,0.00016139666,0.7639757,0.000087654626,0.000052649055,0.0000011484728,0.00025548722,0.17319657,0.00022150028,0.040861793,0.019396285,0.00070947094],"about_ca_topic_score_codex":0.0026310305,"about_ca_topic_score_gemma":0.00017034182,"teacher_disagreement_score":0.032410868,"about_ca_system_score_codex":0.00027364082,"about_ca_system_score_gemma":0.00003302415,"threshold_uncertainty_score":0.99979144},"labels":[],"label_agreement":null},{"id":"W2269800366","doi":"10.1002/atr.1367","title":"Assessing carbon reduction effects toward the mode shift of green transportation system","year":2016,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Reduction (mathematics); Carbon fibers; Service (business); Transport engineering; Preference; Gasoline; Environmental science; Environmental economics; Business; Computer science; Economics; Engineering; Microeconomics; Marketing; Mathematics; Waste management","score_opus":0.03796986685595305,"score_gpt":0.2335541560044811,"score_spread":0.19558428914852805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269800366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767897,0.00035601578,0.021455979,0.0004781675,0.00060303457,0.00016908807,0.000028755352,0.000009324505,0.00010990571],"genre_scores_gemma":[0.99856025,0.00016341859,0.0011008203,0.000009116624,0.000109053275,0.000007880092,0.000013528511,0.000016929796,0.00001897339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986472,0.000021638409,0.0009912391,0.00014956153,0.00007682949,0.00011351665],"domain_scores_gemma":[0.99837166,0.00005727012,0.0013817373,0.00011529543,0.000034681005,0.00003936912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036438182,0.00010789021,0.00030368305,0.00012473455,0.000039591265,0.000011486591,0.00010284856,0.00006597972,0.000011605528],"category_scores_gemma":[0.000010726926,0.00008006702,0.00014315796,0.00009341887,0.000046203688,0.0009175348,7.017238e-7,0.0000836579,0.000004332999],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081976043,0.0004276914,0.54146373,0.0016087147,0.0006284285,0.000025938174,0.04191855,0.1459603,0.11556161,0.0836788,0.000023185112,0.06788332],"study_design_scores_gemma":[0.0012593637,0.00014690928,0.98170567,0.00022769834,0.000059264887,0.0000042099277,0.0013914028,0.00014580906,0.008727398,0.006164775,0.000045530647,0.00012199649],"about_ca_topic_score_codex":0.00012154511,"about_ca_topic_score_gemma":0.000032200245,"teacher_disagreement_score":0.44024193,"about_ca_system_score_codex":0.00018351825,"about_ca_system_score_gemma":0.000017242523,"threshold_uncertainty_score":0.32650384},"labels":[],"label_agreement":null},{"id":"W2270708013","doi":"","title":"Experimental Determination of Canadian Consumers’ Willingness-to-pay for Meat Packaging","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Food safety; Willingness to pay; Business; Shelf life; Food packaging; Food spoilage; Modified atmosphere; Product (mathematics); Quality (philosophy); Marketing; Agricultural science; Food science; Economics; Environmental science","score_opus":0.09473877442489763,"score_gpt":0.2400203171571082,"score_spread":0.14528154273221056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270708013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9441218,0.00018039047,0.027130842,0.0011754952,0.00022461836,0.0004182393,0.000080905185,0.000013678487,0.026654067],"genre_scores_gemma":[0.99156225,0.000011886368,0.007018037,0.00055558875,0.000020793983,0.000014591824,0.000024304765,0.000008312725,0.0007842274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999332,0.000002681425,0.00030263932,0.00018912241,0.000012986254,0.00016058829],"domain_scores_gemma":[0.99967307,0.000014948839,0.00009811194,0.00011040114,0.0000066005473,0.00009684316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016497512,0.00007382758,0.00015838452,0.00026468572,0.00005885899,0.00001592577,0.00007279425,0.000041182113,0.000392667],"category_scores_gemma":[0.000017382044,0.000081702216,0.00005172086,0.00008528355,0.000013443188,0.00014573777,0.000006015948,0.000022509712,0.00013680058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028835866,0.00016995447,0.6856668,0.000021017162,0.000033037788,7.131333e-7,0.0026249648,0.00025594435,0.0075610722,0.27924648,0.0017095543,0.022681635],"study_design_scores_gemma":[0.001631905,0.0004414125,0.8422762,0.000021326885,0.000011914519,0.0000031773927,0.00086570444,0.013076625,0.096417025,0.015963774,0.028649477,0.00064144057],"about_ca_topic_score_codex":0.006365597,"about_ca_topic_score_gemma":0.0022871618,"teacher_disagreement_score":0.2632827,"about_ca_system_score_codex":0.00014508994,"about_ca_system_score_gemma":0.000011196665,"threshold_uncertainty_score":0.9622921},"labels":[],"label_agreement":null},{"id":"W2270876487","doi":"","title":"Accounting for Preference Heterogeneity in Discrete Choice Experiments Using Hierarchical Bayes","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discrete choice; Mixed logit; Frequentist inference; Mathematics; Econometrics; Estimator; Likelihood function; Bayes' theorem; Bayesian probability; Population; Statistics; Estimation theory; Bayesian inference; Logistic regression","score_opus":0.12076274080513649,"score_gpt":0.291495123455245,"score_spread":0.17073238265010848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270876487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8991248,0.0014745203,0.098611064,0.000064973334,0.00015752597,0.00015899219,0.00000781144,0.0000065103072,0.00039381263],"genre_scores_gemma":[0.99804384,0.00035948868,0.0011774182,0.000065375934,0.00020214632,0.000007751399,0.0000068891195,0.000021267277,0.00011582251],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977832,0.000013109351,0.00058023987,0.00027235202,0.000035617566,0.0013154675],"domain_scores_gemma":[0.99947447,0.000058022313,0.00029200985,0.000112130285,0.0000065673235,0.00005679296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002659864,0.0001238019,0.00021579688,0.0001570965,0.00015191459,0.00005524661,0.00017882952,0.000080302496,0.000032329757],"category_scores_gemma":[0.00006725867,0.00014315218,0.00009527266,0.00007148602,0.00003135074,0.0004120906,0.000039402974,0.00058382197,0.0000245764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043144424,0.00006128035,0.9202416,0.000005859437,0.000051784755,3.7248e-7,0.00012686453,0.00046481105,0.00054178777,0.07594024,0.0000027221133,0.0025195482],"study_design_scores_gemma":[0.0026706865,0.00027204523,0.63119924,0.000033823442,0.000013023462,0.000059254762,0.0006630015,0.012134826,0.0014057478,0.3498482,0.001148641,0.0005515217],"about_ca_topic_score_codex":0.00019874946,"about_ca_topic_score_gemma":0.0009085612,"teacher_disagreement_score":0.28904235,"about_ca_system_score_codex":0.0015310587,"about_ca_system_score_gemma":0.00009673222,"threshold_uncertainty_score":0.58375764},"labels":[],"label_agreement":null},{"id":"W2274943355","doi":"10.1016/j.ecoser.2016.01.006","title":"Towards a more structured selection process for attributes and levels in choice experiments: A study in a Belgian protected area","year":2016,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Selection (genetic algorithm); Variety (cybernetics); Process (computing); Focus group; Qualitative research; Rigour; Computer science; Choice modelling; Protocol (science); Environmental resource management; Management science; Marketing; Business; Engineering; Sociology; Artificial intelligence; Medicine","score_opus":0.09262591907133408,"score_gpt":0.27187906498628156,"score_spread":0.17925314591494748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274943355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99699086,0.0002925714,0.00020937112,0.00020445886,0.00008451551,0.0019254257,0.00021494209,0.000023566352,0.000054277647],"genre_scores_gemma":[0.9987544,0.000008076622,0.000102721984,0.0000323334,0.000039903018,0.0009952167,0.000012077127,0.000019867557,0.000035415786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870896,0.000023752753,0.00055161153,0.00046235093,0.00003066058,0.00022266163],"domain_scores_gemma":[0.99951345,0.000033034063,0.0002716342,0.0001264994,0.000014171677,0.000041199175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039419916,0.00015662434,0.00034542283,0.00020990967,0.000055976994,0.000042534597,0.00012537745,0.000088203036,0.00008429721],"category_scores_gemma":[0.000022715707,0.0001421531,0.000026221955,0.0001665314,0.000007700679,0.00046070616,0.00003468595,0.00004700064,0.000014799062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003114544,0.00011455022,0.9959436,0.0001899936,0.000026806782,3.6839552e-7,0.0027720407,0.00007859578,0.0002694138,0.000096756645,0.0000015539159,0.00047514477],"study_design_scores_gemma":[0.0027638557,0.00018411444,0.98811895,0.00012109498,0.0000037039854,0.0000016750504,0.0017090426,0.0050334544,0.00061020814,0.0011563089,0.00009416909,0.00020345119],"about_ca_topic_score_codex":0.00073685567,"about_ca_topic_score_gemma":0.0112446165,"teacher_disagreement_score":0.010507761,"about_ca_system_score_codex":0.00031156707,"about_ca_system_score_gemma":0.0000118985745,"threshold_uncertainty_score":0.627476},"labels":[],"label_agreement":null},{"id":"W2275182712","doi":"10.1111/cjag.12098","title":"Economic Analysis and Species at Risk: Lessons Learned and Future Challenges","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Endangered species; Political science; Economic analysis; Sociology; Economics; Population; Agricultural economics","score_opus":0.07610656014866732,"score_gpt":0.17618509886278264,"score_spread":0.10007853871411532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275182712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665635,0.005235066,0.000014170256,0.023304453,0.00087340263,0.00014898917,0.0010889588,0.000007624593,0.002763817],"genre_scores_gemma":[0.97128373,0.025575664,0.00015462363,0.000113684764,0.00092937326,0.000008674427,0.000024730258,0.00002995235,0.0018795507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974023,0.000038156155,0.001193285,0.00068676326,0.000006687999,0.0006727905],"domain_scores_gemma":[0.9968215,0.00013809212,0.0014083023,0.00031049273,0.000027594846,0.0012939972],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007360104,0.00037260537,0.0010242874,0.0006846265,0.00033504423,0.0001424939,0.00032967745,0.00022092139,0.0014484435],"category_scores_gemma":[0.00004883721,0.0003190638,0.0003337523,0.00007818762,0.00028147516,0.00084420695,0.000064591644,0.00019256963,0.00021127997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004151627,0.0000137437755,0.7404739,0.000027392185,0.0017189246,0.0000147271885,0.0019503075,0.000699817,0.000032902077,0.2388267,0.0007236041,0.01547642],"study_design_scores_gemma":[0.00088445895,0.0001583841,0.9273229,0.000015571297,0.00017462208,0.0001519869,0.001053824,0.00005815357,0.00003093278,0.010309042,0.059330426,0.0005096829],"about_ca_topic_score_codex":0.011028782,"about_ca_topic_score_gemma":0.6651258,"teacher_disagreement_score":0.65409696,"about_ca_system_score_codex":0.0028764757,"about_ca_system_score_gemma":0.00010937923,"threshold_uncertainty_score":0.99992615},"labels":[],"label_agreement":null},{"id":"W2275779567","doi":"","title":"Is There a Race to the Bottom in Environmental Policies? The Effects of NAFTA","year":2002,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ratification; Race to the bottom; Negotiation; Race to the Top; Environmental quality; Political science; International trade; Commission; Economic growth; Business; Economics; Politics; Law; Globalization","score_opus":0.04034186463241492,"score_gpt":0.19267085173610413,"score_spread":0.1523289871036892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275779567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97771716,0.0019965805,0.00010291579,0.0051158653,0.00010134154,0.00033845362,0.000023946024,0.0000046738,0.01459905],"genre_scores_gemma":[0.99104,0.0006865313,0.00006194588,0.002229658,0.00003233315,0.000037307494,0.0000014718665,0.0000110215715,0.0058997436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931705,0.000017546537,0.00029825864,0.00018259896,0.000026158634,0.00015840157],"domain_scores_gemma":[0.99945265,0.00009295785,0.00011058157,0.00031548657,5.314101e-7,0.000027775463],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002600643,0.00008881348,0.00015549622,0.00004877682,0.00005759862,0.000016519165,0.00022835538,0.000042365027,0.0029357262],"category_scores_gemma":[0.00002149521,0.00006203572,0.00006410984,0.000077197285,0.00005486227,0.000079965466,0.00007515052,0.000087088185,0.0024512564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004570711,0.0001578406,0.96777934,0.0000133420535,0.000034771634,5.375768e-7,0.0059062536,0.00020892212,0.00014163276,0.013053113,0.010272442,0.002427232],"study_design_scores_gemma":[0.0003819863,0.00007060113,0.9690184,0.0000069949006,0.0000034674113,0.0000011531064,0.00043511466,0.0023922925,0.0005391805,0.0012663052,0.02576696,0.000117547235],"about_ca_topic_score_codex":0.0004142149,"about_ca_topic_score_gemma":0.000045045166,"teacher_disagreement_score":0.015494516,"about_ca_system_score_codex":0.00010047,"about_ca_system_score_gemma":9.991502e-7,"threshold_uncertainty_score":0.99832547},"labels":[],"label_agreement":null},{"id":"W2275954653","doi":"","title":"A comment on Non-Parametric Bounds for Non-Convex Preferences","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Revealed preference; Parametric statistics; Construct (python library); Regular polygon; Mathematical economics; Bundle; Preference; Convex analysis; Mathematics; Economics; Econometrics; Mathematical optimization; Convex optimization; Computer science; Microeconomics; Statistics; Geometry","score_opus":0.13499784620050723,"score_gpt":0.3091503140734125,"score_spread":0.17415246787290525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275954653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7387234,0.00026754395,0.00043093457,0.0041366494,0.0018722817,0.0034890089,0.0013136391,0.00004251471,0.24972406],"genre_scores_gemma":[0.986606,0.0061628693,0.0008221018,0.00079191243,0.00037485283,0.0018531948,0.00021388769,0.000112667156,0.0030625241],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99560624,0.000070206115,0.0014968793,0.0016833902,0.00009815343,0.0010451277],"domain_scores_gemma":[0.9968212,0.0008871142,0.00072605204,0.0012904715,0.000036335674,0.00023880137],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003409137,0.000499622,0.0011489632,0.0012860746,0.00024121015,0.00025254913,0.0010039066,0.0006674818,0.00047325442],"category_scores_gemma":[0.00035271395,0.00055037905,0.00038560512,0.000136422,0.00030748433,0.00019605114,0.0007689393,0.0009866816,0.0005308116],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010938649,0.0029006565,0.5850352,0.0015106995,0.0014824214,0.000015837537,0.0020226128,0.014713096,0.00005280866,0.080334924,0.013136689,0.29770115],"study_design_scores_gemma":[0.007653565,0.001918784,0.2320908,0.00090937334,0.00003329291,0.0000045707175,0.000718485,0.078793034,0.0005606737,0.37981355,0.2943122,0.0031916606],"about_ca_topic_score_codex":0.00012302,"about_ca_topic_score_gemma":0.000048974216,"teacher_disagreement_score":0.35294443,"about_ca_system_score_codex":0.0027859574,"about_ca_system_score_gemma":0.00018155559,"threshold_uncertainty_score":0.99969476},"labels":[],"label_agreement":null},{"id":"W2276122769","doi":"10.1093/ajae/aav022","title":"Measuring Price Elasticities of Demand and Supply of Water Entitlements Based on Stated and Revealed Preference Data","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Australian Research Council; ACT Government","keywords":"Endogeneity; Price elasticity of demand; Economics; Entitlement (fair division); Revealed preference; Price elasticity of supply; Water supply; Elasticity (physics); Water use; Microeconomics; Econometrics; Agricultural economics; Environmental science; Ecology","score_opus":0.14915253151360647,"score_gpt":0.20618192328086843,"score_spread":0.05702939176726196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276122769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99869335,0.00015886361,0.00019469271,0.00016716677,0.000073252995,0.00007801385,0.00016351804,0.0000016129175,0.00046953678],"genre_scores_gemma":[0.9980383,0.0004091766,0.0014104424,0.00003676538,0.000030645482,9.5074444e-7,0.00003191726,0.0000065648915,0.000035223813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989518,0.000022111926,0.0007077056,0.0001683026,0.000030557192,0.0001195378],"domain_scores_gemma":[0.99875975,0.00005084306,0.0009215449,0.00013928229,0.00003597108,0.00009263134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057261967,0.00010435528,0.00042089476,0.00009297952,0.0000218626,0.000021179043,0.00017027857,0.000023430628,0.000035681882],"category_scores_gemma":[0.000043244996,0.000078169905,0.00003116874,0.00003347106,0.0001406881,0.00036616065,0.000081710314,0.00006956733,0.000005807716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035249098,0.00024913767,0.9676486,0.0001201202,0.00041788752,0.0000016314802,0.0030124164,0.022069566,0.0011571016,0.0015453771,0.00054446456,0.0028811875],"study_design_scores_gemma":[0.0015701564,0.0009858314,0.98885083,0.00006826203,0.000041045394,0.000015717815,0.0020471902,0.0032126335,0.0019011338,0.0007720191,0.00032038993,0.00021481107],"about_ca_topic_score_codex":0.00008291428,"about_ca_topic_score_gemma":0.000008970606,"teacher_disagreement_score":0.021202192,"about_ca_system_score_codex":0.00007850351,"about_ca_system_score_gemma":0.000015837157,"threshold_uncertainty_score":0.3187676},"labels":[],"label_agreement":null},{"id":"W2278882141","doi":"10.1093/ajae/aav046","title":"The Impact of Perceptions in Averting‐decision Models: An Application of the Special Regressor Method to Drinking Water Choices","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Valuation (finance); Revealed preference; Econometrics; Ordered probit; Probit model; Discrete choice; Contingent valuation; Multivariate probit model; Willingness to pay; Actuarial science; Perception; Risk perception; Empirical research; Bivariate analysis; Economics; Microeconomics; Statistics; Psychology; Mathematics","score_opus":0.0568962452854907,"score_gpt":0.27281115984220305,"score_spread":0.21591491455671236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278882141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961957,0.00004134938,0.0023923656,0.00038032528,0.00014530674,0.00015004628,0.000012420031,0.0000014935896,0.00068102055],"genre_scores_gemma":[0.9962757,0.00009293505,0.003295548,0.000028692299,0.00025926498,0.0000048634865,0.0000036534368,0.000008395244,0.0000309495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985749,0.00005224618,0.0010195025,0.00015631113,0.000037840306,0.00015918456],"domain_scores_gemma":[0.9983409,0.00007472236,0.0012405602,0.00020240595,0.00005110073,0.00009032413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011902808,0.000112133435,0.00038733048,0.00009295827,0.00006697702,0.000034546454,0.00040938726,0.000035544672,0.00001817541],"category_scores_gemma":[0.000036094858,0.000058307876,0.00020939864,0.00012110749,0.000096068026,0.00047767715,0.000075717966,0.00012648066,0.000015668582],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011099419,0.0001012973,0.20622513,0.0000015515216,0.00007036695,6.9340174e-8,0.0043856767,0.7593072,0.0006706807,0.0035820957,0.00013717914,0.025407778],"study_design_scores_gemma":[0.00046248207,0.0004279833,0.9678501,0.00001642525,0.000011024717,0.000014893097,0.0035644153,0.012271603,0.00042222743,0.014511503,0.00030319174,0.00014415145],"about_ca_topic_score_codex":0.0007160111,"about_ca_topic_score_gemma":0.000273113,"teacher_disagreement_score":0.761625,"about_ca_system_score_codex":0.00045724836,"about_ca_system_score_gemma":0.000021867061,"threshold_uncertainty_score":0.23777261},"labels":[],"label_agreement":null},{"id":"W2281918999","doi":"10.1080/08941920.2015.1089611","title":"Making Space for Community Use Rights: Insights From “Community Economies” in Newfoundland and Labrador","year":2015,"lang":"en","type":"article","venue":"Society & Natural Resources","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Fishing; Space (punctuation); Fisheries management; Economy; Geography; Political science; Economics; Law","score_opus":0.15284778830490237,"score_gpt":0.25952915729499076,"score_spread":0.1066813689900884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281918999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950219,0.002747817,0.000072398965,0.00036423892,0.00019496054,0.00025416343,0.00012748703,0.000026554704,0.0011904908],"genre_scores_gemma":[0.99644893,0.000096848344,0.0022299732,0.00051961676,0.00008890356,0.000021038144,0.000103835206,0.000018941031,0.0004719369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990092,0.00011076054,0.0004017698,0.00023260439,0.000028155764,0.00021750304],"domain_scores_gemma":[0.99878085,0.000546811,0.000251598,0.00032854156,0.000011894144,0.000080282225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071199087,0.00017574351,0.00035687495,0.000055983048,0.00045731678,0.00017672653,0.00024120363,0.00016214154,0.00002148337],"category_scores_gemma":[0.00012625958,0.00018551586,0.00012331983,0.00007525057,0.00015885514,0.00064527785,0.00018350847,0.0005988161,0.000035591187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094308154,0.000168188,0.91861546,0.00003903926,0.00014933571,4.994093e-7,0.06476964,0.0003196868,0.00003296905,0.012833418,0.0022049872,0.00077249523],"study_design_scores_gemma":[0.002048676,0.00009059389,0.8321285,0.00003434424,0.000012007351,0.0000010776874,0.008383468,0.0063160365,0.000016686014,0.091738775,0.058863036,0.0003668052],"about_ca_topic_score_codex":0.039891575,"about_ca_topic_score_gemma":0.016098378,"teacher_disagreement_score":0.086486936,"about_ca_system_score_codex":0.00057138386,"about_ca_system_score_gemma":0.0000090143685,"threshold_uncertainty_score":0.9665019},"labels":[],"label_agreement":null},{"id":"W2283084584","doi":"10.3917/reco.684.0623","title":"L’impact des dépenses publiques consacrées au sport sur les médailles olympiques","year":2017,"lang":"fr","type":"article","venue":"Revue économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.20556131175846806,"score_gpt":0.2636752598224927,"score_spread":0.05811394806402462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283084584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93785584,0.025525149,0.00047257348,0.007155852,0.0015905794,0.0004869476,0.00055745675,0.00006785464,0.026287733],"genre_scores_gemma":[0.9399024,0.032713957,0.0017799895,0.00028829885,0.0010157282,0.000076782955,0.00009233487,0.000107986576,0.024022514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967676,0.000052093474,0.0013205358,0.0009782674,0.00002278746,0.00085875206],"domain_scores_gemma":[0.9963768,0.00015801855,0.0017349579,0.0013575589,0.0000677623,0.0003049061],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012891996,0.00057246,0.0012018122,0.00025138844,0.0010738148,0.00091447844,0.00082117575,0.0005934558,0.0029234455],"category_scores_gemma":[0.0005093165,0.000757745,0.0006026848,0.000047306905,0.0013533889,0.0028895803,0.00029620875,0.0003417627,0.0014135367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003319804,0.00020990649,0.8572064,0.00022693361,0.00027655397,0.000017328273,0.0005000952,0.0002668181,0.000008182122,0.09472588,0.0015135827,0.045015093],"study_design_scores_gemma":[0.00070365064,0.000218748,0.8956647,0.00037352112,0.00004718146,0.00006598234,0.00012972417,0.0014523397,0.00024018442,0.021805927,0.078497574,0.0008004954],"about_ca_topic_score_codex":0.029630708,"about_ca_topic_score_gemma":0.0067340652,"teacher_disagreement_score":0.07698399,"about_ca_system_score_codex":0.002078053,"about_ca_system_score_gemma":0.00023678562,"threshold_uncertainty_score":0.99948734},"labels":[],"label_agreement":null},{"id":"W2283168711","doi":"10.2139/ssrn.2655266","title":"Loss Aversion, Reference Dependence and Diminishing Sensitivity in Choice Experiments","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Loss aversion; Sensitivity (control systems); Econometrics; Economics; Statistics; Mathematics; Microeconomics; Engineering","score_opus":0.10030043000097331,"score_gpt":0.24912623860420394,"score_spread":0.14882580860323064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283168711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931246,0.0021620411,0.0020026516,0.00023260376,0.00013479959,0.000059956954,0.0000033424394,0.000006315095,0.0022736797],"genre_scores_gemma":[0.9975112,0.0018359745,0.000117527525,0.000084538784,0.00006276495,0.00000257085,0.0000032665705,0.000010124312,0.00037203374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867094,0.000029633838,0.00030591778,0.00023646333,0.000041167885,0.00071588537],"domain_scores_gemma":[0.9995802,0.00002912804,0.00018970446,0.00010148957,0.000008106234,0.000091342736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023011565,0.000097678836,0.00017473505,0.00009242549,0.00007630578,0.00004958881,0.00008956084,0.000066287335,0.000027314523],"category_scores_gemma":[0.000083059436,0.00011523602,0.000024326038,0.000055110828,0.000036690497,0.0005405644,0.00005811396,0.0005905172,0.00014460797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015106178,0.000039722323,0.93721366,0.0000016950723,0.000017485305,0.000004103179,0.0004224358,0.00016830015,0.000034436598,0.060858626,0.000023580009,0.0012008463],"study_design_scores_gemma":[0.0024408707,0.00024856444,0.6217913,0.000025107589,0.0000069895564,0.0003503548,0.0036658563,0.0024114156,0.00015344385,0.3669436,0.0015224555,0.00044004273],"about_ca_topic_score_codex":0.00057012786,"about_ca_topic_score_gemma":0.0009851035,"teacher_disagreement_score":0.31542236,"about_ca_system_score_codex":0.001200306,"about_ca_system_score_gemma":0.00011888452,"threshold_uncertainty_score":0.46991885},"labels":[],"label_agreement":null},{"id":"W2284622711","doi":"10.1080/13657305.2016.1124935","title":"A contingent valuation of the biomitigation benefits of integrated multi-trophic aquaculture in Canada","year":2016,"lang":"en","type":"article","venue":"Aquaculture Economics & Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Simon Fraser University; University of New Brunswick; Memorial University of Newfoundland","funders":"Atlantic Canada Opportunities Agency","keywords":"Aquaculture; Contingent valuation; Fishery; Trophic level; Agriculture; Valuation (finance); Payment; Business; Ecosystem; Natural resource economics; Ecology; Economics; Biology; Willingness to pay; Fish <Actinopterygii>","score_opus":0.05102989374454479,"score_gpt":0.18907509427415245,"score_spread":0.13804520052960767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284622711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960758,0.00035809868,0.00044574254,0.00091335556,0.00030996685,0.000569223,0.00031071276,0.000005714671,0.0010113572],"genre_scores_gemma":[0.99792206,0.0005097325,0.00068187754,0.00014228914,0.000017368844,0.00004635219,0.000042286814,0.000017000737,0.0006210273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834174,0.000030237536,0.0010068361,0.00037268226,0.000043164695,0.00020534225],"domain_scores_gemma":[0.99867743,0.000022867707,0.00088967197,0.00034853886,0.00002286445,0.00003861556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044401313,0.00018248295,0.00037337118,0.00011299414,0.000041902797,0.000012137291,0.00030142805,0.000081885664,0.00014209806],"category_scores_gemma":[0.00003161,0.00013491874,0.00011050552,0.00015689201,0.000051994382,0.0001913744,0.00010104032,0.00007258649,0.000038753962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027846321,0.00012811596,0.7758497,0.000053771313,0.00020868196,3.847014e-7,0.0006100875,0.008259147,0.0003457238,0.20590533,0.00033523078,0.008276003],"study_design_scores_gemma":[0.0018257789,0.0000216015,0.98455423,0.000097204895,0.000023673763,6.065276e-7,0.0005508091,0.0028402559,0.0019790349,0.005762184,0.0021165044,0.00022809228],"about_ca_topic_score_codex":0.10792878,"about_ca_topic_score_gemma":0.25081256,"teacher_disagreement_score":0.20870459,"about_ca_system_score_codex":0.0012872822,"about_ca_system_score_gemma":0.00005741582,"threshold_uncertainty_score":0.89801157},"labels":[],"label_agreement":null},{"id":"W2286744451","doi":"10.3386/w21998","title":"Income-comparison Attitudes in the US and the UK: Evidence from Discrete-choice Experiments","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"License; Welfare; Economics; Externality; Public economics; Psychological intervention; Discrete choice; Actuarial science; Demographic economics; Microeconomics; Psychology; Econometrics; Political science","score_opus":0.6175004276109884,"score_gpt":0.5090993705094513,"score_spread":0.10840105710153713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286744451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8004346,0.023825279,0.000025894118,0.0024074328,0.00065474986,0.0013289272,0.0004561836,0.00000729437,0.17085968],"genre_scores_gemma":[0.98963994,0.0076611238,0.00006238852,0.000043341504,0.0005272456,0.00030021445,0.00011999425,0.000027445849,0.0016182946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968876,0.0002463624,0.0014257203,0.00071078073,0.00038608478,0.00034340163],"domain_scores_gemma":[0.9941628,0.004346677,0.00080841326,0.00054136553,0.00008507198,0.000055655946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01104069,0.00023646881,0.000737612,0.00040600201,0.00018205796,0.00014678169,0.000932067,0.00026960677,0.0012512106],"category_scores_gemma":[0.0016183859,0.00016495823,0.0001646533,0.00009772461,0.00072998804,0.0003439262,0.00033290402,0.0005742746,0.00048237087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006546605,0.000045809917,0.9377711,0.00003193488,0.00012686319,4.5086784e-7,0.00042813094,0.0001572145,0.0000069622415,0.05804225,0.0030835895,0.00024023377],"study_design_scores_gemma":[0.0012690405,0.000050089766,0.81881666,0.00022940207,0.000008755572,0.0000024543058,0.00009299972,0.0005327125,0.000032137494,0.1745996,0.004135136,0.00023101797],"about_ca_topic_score_codex":0.01957326,"about_ca_topic_score_gemma":0.0013831045,"teacher_disagreement_score":0.1892054,"about_ca_system_score_codex":0.0017766483,"about_ca_system_score_gemma":0.00029308032,"threshold_uncertainty_score":0.9996618},"labels":[],"label_agreement":null},{"id":"W2288189624","doi":"","title":"Generalized entropy models","year":2015,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Strategic Research Council; Université de Montréal; Northwestern University","keywords":"Mathematics; Statistical physics; Econometrics; Mathematical economics; Applied mathematics; Physics","score_opus":0.12524902386104636,"score_gpt":0.20832903210381357,"score_spread":0.0830800082427672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288189624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86966604,0.0039273635,0.0055106445,0.00094934076,0.0005715112,0.00080331677,0.003876388,0.000107972366,0.11458744],"genre_scores_gemma":[0.9605249,0.0061104097,0.018756196,0.00017992123,0.0001486147,0.0000045486463,0.0014938294,0.000096410644,0.012685133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99735206,0.00015268492,0.00073496636,0.0010897882,0.00016517137,0.00050534157],"domain_scores_gemma":[0.99726206,0.00007581342,0.001029843,0.0012362255,0.00006544908,0.00033060045],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008314141,0.0004897581,0.0011277532,0.00041948172,0.00025158798,0.000039838775,0.001391241,0.00040260932,0.0015573654],"category_scores_gemma":[0.00005571123,0.00071711425,0.0006452576,0.00010228699,0.0005452117,0.00031530845,0.0021369462,0.00081243267,0.00045244416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020673575,0.00278417,0.0878774,0.0014073909,0.0045000766,0.00022863949,0.105166346,0.1450822,0.0005056221,0.573917,0.067797415,0.008666379],"study_design_scores_gemma":[0.005197494,0.00032353064,0.03165571,0.00029416537,0.0002294338,0.000020671461,0.006076108,0.4172296,0.000026754724,0.4544121,0.08246261,0.002071828],"about_ca_topic_score_codex":0.0062636663,"about_ca_topic_score_gemma":0.0005876047,"teacher_disagreement_score":0.2721474,"about_ca_system_score_codex":0.00077246403,"about_ca_system_score_gemma":0.00018645842,"threshold_uncertainty_score":0.999528},"labels":[],"label_agreement":null},{"id":"W2291409634","doi":"10.1186/s13561-016-0121-7","title":"Heterogeneity in general practitioners’ preferences for quality improvement programs: a choice experiment and policy simulation in France","year":2016,"lang":"en","type":"article","venue":"Health Economics Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Public finance; Health economics; Health services research; Quality (philosophy); Social policy; Economics; Public economics; Public health; Public choice; Health care management; Medicine; Political science; Macroeconomics; Nursing","score_opus":0.2755963779647132,"score_gpt":0.3967014052254885,"score_spread":0.12110502726077532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291409634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582686,0.033432107,0.0009015728,0.004991073,0.00009646805,0.0020586983,0.00009595665,0.0000096786225,0.00014584113],"genre_scores_gemma":[0.8771831,0.118193634,0.0009443965,0.0025715495,0.000075779586,0.0009060168,0.000038714985,0.000015744612,0.000071094124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997896,0.000045540666,0.001262031,0.00048803497,0.000015191648,0.00029321146],"domain_scores_gemma":[0.9988736,0.00009777357,0.0007166569,0.00021544662,0.0000066419957,0.00008986281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00145397,0.00014575603,0.0005386048,0.000116364805,0.000048378886,0.000022770657,0.00008292306,0.000058810798,0.000042185256],"category_scores_gemma":[0.00009036076,0.00014501948,0.00006244047,0.00006299089,0.000034772536,0.000360027,0.000036616624,0.000050971124,0.000033150092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014689209,0.00025310458,0.6970132,0.0016927309,0.000021303784,6.11239e-8,0.00023992508,0.00066816737,0.000012707801,0.020799588,0.000034302768,0.27925023],"study_design_scores_gemma":[0.0028041236,0.00035248816,0.89742565,0.0009189888,0.0000034634952,7.9021083e-7,0.00003369157,0.004200603,0.000041771906,0.011429605,0.08230774,0.00048110637],"about_ca_topic_score_codex":0.001386874,"about_ca_topic_score_gemma":0.00085559336,"teacher_disagreement_score":0.27876914,"about_ca_system_score_codex":0.0008966709,"about_ca_system_score_gemma":0.00006444654,"threshold_uncertainty_score":0.59137225},"labels":[],"label_agreement":null},{"id":"W2292214643","doi":"10.1177/1527002515626221","title":"Estimating the Value of Medal Success in the Olympic Games","year":2016,"lang":"en","type":"article","venue":"Journal of Sports Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Medal; Contingent valuation; Willingness to pay; Pride; Government (linguistics); Value (mathematics); Valuation (finance); Economics; Marketing; Advertising; Geography; Political science; Business; Statistics; Mathematics; Microeconomics; Accounting","score_opus":0.042035327053912795,"score_gpt":0.21520219684583428,"score_spread":0.17316686979192147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292214643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99367785,0.00051264756,0.00075736747,0.002116193,0.000509938,0.00009351139,0.000014155161,0.0000015588414,0.0023167555],"genre_scores_gemma":[0.9981909,0.0005729832,0.00071730063,0.00022314113,0.00019531176,0.0000029746916,7.357514e-7,0.00001206322,0.00008462138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984453,0.000017138167,0.0012260744,0.00012994277,0.00003172707,0.00014987083],"domain_scores_gemma":[0.99798137,0.00014777316,0.0015958209,0.00023447449,0.000009858909,0.00003067535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022819003,0.0000994184,0.00033694456,0.00012378744,0.00004281558,0.000026859814,0.000396592,0.00005389151,0.00023438355],"category_scores_gemma":[0.00006235434,0.000058932957,0.00014124636,0.00004991054,0.00010545311,0.0003383433,0.000034397737,0.00010540248,0.000023897615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016425764,0.000048374604,0.93901926,0.000008199118,0.000032319156,0.0000029545654,0.00065491535,0.008674994,0.000010479673,0.042724837,0.00014330485,0.008663916],"study_design_scores_gemma":[0.0006766347,0.000053210235,0.9406848,0.00004959926,0.000011091909,0.000050441133,0.00025981385,0.0027538477,0.00009779377,0.054039415,0.001211946,0.00011139907],"about_ca_topic_score_codex":0.000035642195,"about_ca_topic_score_gemma":0.000009419474,"teacher_disagreement_score":0.01131458,"about_ca_system_score_codex":0.00015593552,"about_ca_system_score_gemma":0.000029467012,"threshold_uncertainty_score":0.25663355},"labels":[],"label_agreement":null},{"id":"W2292801681","doi":"","title":"Creating Environmentalists: Environmental Law, Identity and Commitment","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Identity (music); Value (mathematics); Environmental law; Environmental policy; Affect (linguistics); Work (physics); Connection (principal bundle); Sociology; Law and economics; Positive economics; Law; Environmental ethics; Political science; Social psychology; Economics; Psychology; Environmental resource management; Mathematics; Engineering","score_opus":0.02986192225861965,"score_gpt":0.21085182143506015,"score_spread":0.1809898991764405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292801681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97758156,0.0074842004,0.0035363121,0.00054004823,0.00010326161,0.00014545297,0.000023434506,0.000015153833,0.010570599],"genre_scores_gemma":[0.9904447,0.0077449474,0.00021531172,0.0005779871,0.00012322217,0.000004172456,0.000018653935,0.000016017328,0.00085494085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981888,0.00002237693,0.0004788165,0.00029473336,0.0000573497,0.0009579334],"domain_scores_gemma":[0.99944335,0.000013903701,0.0002898584,0.00015800574,8.5350416e-7,0.00009400913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011946714,0.00016443276,0.00023412422,0.00006465404,0.00035454088,0.000096273725,0.00016010806,0.00006882064,0.00033644887],"category_scores_gemma":[0.0000069681646,0.00019436871,0.00008915208,0.000027702235,0.000092192306,0.0007524436,0.000046350975,0.00054490345,0.00034374392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000911972,0.00012549445,0.108873606,0.0000013477821,0.00006154756,0.0000013681736,0.0002024021,0.000035973204,0.00017972368,0.886933,0.00001740613,0.003558988],"study_design_scores_gemma":[0.0010114642,0.00035825226,0.2252217,0.000006153737,0.000017104838,0.00017945784,0.0012766004,0.00022731384,0.000063670006,0.7689338,0.00240963,0.00029490638],"about_ca_topic_score_codex":0.0000921133,"about_ca_topic_score_gemma":0.00007793838,"teacher_disagreement_score":0.11799927,"about_ca_system_score_codex":0.0017892156,"about_ca_system_score_gemma":0.000018776062,"threshold_uncertainty_score":0.7926126},"labels":[],"label_agreement":null},{"id":"W2293195511","doi":"","title":"On Estimating the Option Value of Preserving a Wilderness Area","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wilderness; Amenity; Value (mathematics); Wilderness area; Volatility (finance); Geometric Brownian motion; Economics; Econometrics; Geography; Terrain; Mathematics; Natural resource economics; Statistics; Economy; Cartography; Finance; Diffusion process","score_opus":0.03493379772832362,"score_gpt":0.20882902364860595,"score_spread":0.17389522592028234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293195511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9762012,0.00095496874,0.015864056,0.00045440067,0.000104345614,0.00008949387,0.0000037741124,0.000006619762,0.0063211382],"genre_scores_gemma":[0.9973395,0.0008329103,0.0002847638,0.000064043255,0.00010147231,0.0000055426995,0.000002981375,0.000013457445,0.0013553667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988363,0.00002267057,0.00039341056,0.00014478543,0.000037848928,0.0005650235],"domain_scores_gemma":[0.99949163,0.000043607015,0.00027814275,0.00015820804,0.0000046321456,0.00002378129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014999349,0.000084794134,0.00015055058,0.000051928735,0.0001769031,0.000029986146,0.00020902418,0.00004135006,0.00061765604],"category_scores_gemma":[0.00003602735,0.00007460892,0.00008258862,0.00005826592,0.000031659154,0.00019225606,0.000014952373,0.00046473992,0.00018225826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024024592,0.00006115631,0.011866925,0.0000047372705,0.00007217526,1.929344e-7,0.00025099266,0.11793938,0.000015465304,0.8505005,0.00004439078,0.019220052],"study_design_scores_gemma":[0.00042163595,0.00015999905,0.023625484,0.000022424447,0.000008388252,0.000036550882,0.00018673977,0.13603312,0.000025260162,0.83911973,0.0002517705,0.00010893298],"about_ca_topic_score_codex":0.00009969938,"about_ca_topic_score_gemma":0.000022885422,"teacher_disagreement_score":0.021138258,"about_ca_system_score_codex":0.00045692135,"about_ca_system_score_gemma":0.000057727164,"threshold_uncertainty_score":0.6762901},"labels":[],"label_agreement":null},{"id":"W2296337659","doi":"10.1111/coep.12148","title":"WILLINGNESS‐TO‐PAY FOR SPORTING SUCCESS OF FOOTBALL BUNDESLIGA TEAMS","year":2015,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Football; Willingness to pay; Payment; Contingent valuation; Outcome (game theory); Promotion (chess); Business; Marketing; Public good; Valuation (finance); Economics; Advertising; Actuarial science; Microeconomics; Finance; Political science","score_opus":0.18723084497128073,"score_gpt":0.28533652032218926,"score_spread":0.09810567535090853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296337659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.927393,0.0006553399,0.0045895446,0.00194616,0.00075781683,0.00080506114,0.00051088625,0.00005026447,0.0632919],"genre_scores_gemma":[0.9953728,0.000030194939,0.0010023912,0.00070569373,0.0005598279,0.00011330149,0.000090964466,0.000057663125,0.0020672062],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99765617,0.00001339565,0.0013884201,0.000546547,0.000025696254,0.00036978765],"domain_scores_gemma":[0.99821496,0.00006888593,0.0009432813,0.00044891646,0.000019241792,0.0003046921],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012259795,0.00023591788,0.00069289916,0.0002965158,0.00006710645,0.000047134014,0.00039406322,0.0001266247,0.00009031362],"category_scores_gemma":[0.00017225179,0.00027040532,0.00019677416,0.000094123374,0.00007189695,0.0005388365,0.00011453868,0.00008663217,0.0007073626],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000791348,0.00008034158,0.81589776,0.000046790294,0.000087019645,6.277681e-7,0.0006894561,0.0021715846,0.000035609977,0.1721255,0.0074949157,0.0012912442],"study_design_scores_gemma":[0.008446663,0.0010633399,0.35387796,0.00010828576,0.000029955963,0.000013169015,0.0011689385,0.015002098,0.0030156237,0.2044018,0.41077426,0.0020978902],"about_ca_topic_score_codex":0.002681894,"about_ca_topic_score_gemma":0.000044348926,"teacher_disagreement_score":0.4620198,"about_ca_system_score_codex":0.0007052415,"about_ca_system_score_gemma":0.00029731804,"threshold_uncertainty_score":0.9999748},"labels":[],"label_agreement":null},{"id":"W2296378600","doi":"","title":"Snow Removal Auctions in Montreal: Costs, Informational Rents, and Procurement Management","year":2004,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Procurement; Economic rent; Snow; Common value auction; Business; Snow removal; Operations management; Industrial organization; Economics; Marketing; Meteorology; Microeconomics; Geography","score_opus":0.03297884354882456,"score_gpt":0.20114220423654855,"score_spread":0.16816336068772397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296378600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5340404,0.003393268,0.06567092,0.009250716,0.00045695333,0.0016448711,0.00032520146,0.00012545646,0.3850922],"genre_scores_gemma":[0.96867096,0.0040920605,0.018193627,0.0001208528,0.000019272638,0.00020589013,0.000978768,0.000031635125,0.0076869405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980251,0.000234211,0.0008189102,0.0005855137,0.000093283124,0.0002429865],"domain_scores_gemma":[0.9983976,0.00010409087,0.00056854234,0.0007455033,0.0000871403,0.000097150725],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027271966,0.00023317005,0.0003142243,0.00039812498,0.00016426857,0.0001969103,0.00036955977,0.00018121116,0.00024828268],"category_scores_gemma":[0.0001472209,0.00030876757,0.00009393537,0.00017240304,0.0001110695,0.0002501108,0.0006722174,0.00032789292,0.00018629975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001255885,0.00072749995,0.061425384,0.00028744774,0.00015790701,0.000005978914,0.0055648643,0.0036218385,0.0000074653476,0.8901828,0.0007678398,0.037238438],"study_design_scores_gemma":[0.0026682073,0.0000011877004,0.8008039,0.0019566345,0.000040189665,0.0000219387,0.0004696097,0.03240362,0.0003478858,0.1343265,0.026012369,0.00094795396],"about_ca_topic_score_codex":0.0025772392,"about_ca_topic_score_gemma":0.0021568509,"teacher_disagreement_score":0.7558563,"about_ca_system_score_codex":0.0008495921,"about_ca_system_score_gemma":0.00004187561,"threshold_uncertainty_score":0.99993646},"labels":[],"label_agreement":null},{"id":"W2297222779","doi":"10.14288/1.0302580","title":"Benefit-cost analysis as a thought process applied to alternative uses of recreational resources in national parks, with special reference to Banff National Park, Canada, and the Peak District National Park, England.","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"National park; Recreation; Geography; National standard; Process (computing); Environmental resource management; Environmental protection; Political science; Archaeology; Engineering; Law; Environmental science; Computer science","score_opus":0.03515233931754449,"score_gpt":0.17612916313340443,"score_spread":0.14097682381585994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297222779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96044856,0.000028698392,0.00018086283,0.0001195957,0.000021117838,0.00030604744,0.001547383,0.00000331947,0.03734439],"genre_scores_gemma":[0.99898916,0.000042368312,0.00034176945,0.00010790717,0.00004878904,0.000012566359,0.00014149169,0.0000061039177,0.00030982407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998978,0.000022419823,0.00026590785,0.0003640075,0.00024181952,0.00012779856],"domain_scores_gemma":[0.9992883,0.00011556673,0.00028685216,0.00007873631,0.0001538476,0.000076676035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005189784,0.00005845632,0.0002919849,0.00015977035,0.00012538672,0.00003565201,0.00022072697,0.000045568853,0.00037796673],"category_scores_gemma":[0.0000897376,0.00012367907,0.000041856158,0.0004430679,0.00015088086,0.00018580559,0.00006174521,0.00007517833,0.000009688992],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043329175,0.00017114333,0.97027403,0.00002366513,0.00043422342,0.0000047159497,0.0031186286,0.006620692,0.0000018980292,0.011137134,0.00075801456,0.00702258],"study_design_scores_gemma":[0.0013284711,0.000033926226,0.99069756,0.000019752015,0.000022920309,0.000002986777,0.00070878875,0.000479262,0.0000011817145,0.005911756,0.0006500467,0.00014333868],"about_ca_topic_score_codex":0.54167694,"about_ca_topic_score_gemma":0.9486014,"teacher_disagreement_score":0.40692452,"about_ca_system_score_codex":0.0003473989,"about_ca_system_score_gemma":0.00015353417,"threshold_uncertainty_score":0.50434864},"labels":[],"label_agreement":null},{"id":"W2310464437","doi":"10.1177/1467358416634157","title":"Visitors’ perceived impacts of interpretation on knowledge, attitudes, and behavioral intentions at Miquelon Lake Provincial Park, Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"Tourism and Hospitality Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpretation (philosophy); National park; Psychology; Public relations; Political science; Geography; Archaeology","score_opus":0.07017831995860593,"score_gpt":0.30830227067963667,"score_spread":0.23812395072103074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310464437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994592,0.00030397947,0.00001717262,0.0005187339,0.00011186443,0.00024686844,0.00018652802,0.0000042170022,0.004018618],"genre_scores_gemma":[0.9971086,0.0002427291,0.000019163746,0.000015175902,0.000055298395,0.000023371376,0.0000199682,0.00001106726,0.0025046547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989973,0.000050669547,0.00033358298,0.00031452463,0.00007532826,0.00022865312],"domain_scores_gemma":[0.9994428,0.00012099758,0.00010551529,0.00017398434,0.000034635385,0.00012206129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006310738,0.00009943905,0.00020787759,0.000103452076,0.00014769599,0.000029948733,0.000089744004,0.000077194214,0.0002636868],"category_scores_gemma":[0.0000848397,0.000088928435,0.000035682686,0.00004774136,0.00019346546,0.0001854689,0.0001293044,0.00010335905,0.000041522213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050348306,0.00015444019,0.98969036,0.000047330304,0.000022093825,0.0000011920249,0.00073966396,4.909632e-7,0.00023405746,0.0026208472,0.001357284,0.0050818822],"study_design_scores_gemma":[0.00043125483,0.00028828398,0.9969267,0.00005021043,0.000004074182,9.755886e-7,0.00010785902,0.00006181351,0.00016447487,0.0012825567,0.0005671261,0.00011463144],"about_ca_topic_score_codex":0.22759786,"about_ca_topic_score_gemma":0.6837562,"teacher_disagreement_score":0.45615834,"about_ca_system_score_codex":0.00036338437,"about_ca_system_score_gemma":0.000068593225,"threshold_uncertainty_score":0.77754563},"labels":[],"label_agreement":null},{"id":"W2313139726","doi":"10.2202/1547-7355.1543","title":"Enhancing Border Security: Local Values and Preferences at the Blue Water Bridge (Point Edward, Canada)","year":2010,"lang":"en","type":"article","venue":"Journal of Homeland Security and Emergency Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Bridge (graph theory); Border Security; Border crossing; Gateway (web page); Water security; Stakeholder; Point (geometry); Political science; Public administration; Geography; Computer security; Public relations; Computer science; Law; Water resources; Medicine","score_opus":0.018315095273030036,"score_gpt":0.20761288808988934,"score_spread":0.1892977928168593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313139726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921581,0.002212503,0.00032410224,0.0012199072,0.000956453,0.00012237307,0.000021462989,0.000002912762,0.0029821855],"genre_scores_gemma":[0.99345005,0.005768348,0.00003254172,0.000096398646,0.00012615937,0.0000046159425,0.0000062904082,0.000008562456,0.00050704076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988823,0.000020276864,0.0006037203,0.00020211832,0.00008190256,0.00020967264],"domain_scores_gemma":[0.99949557,0.000016564443,0.00023835078,0.00014204184,0.000014541159,0.0000929256],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009114792,0.00013339354,0.00026037713,0.00007190117,0.0002223728,0.000037234247,0.00013131947,0.000054313565,0.0016848929],"category_scores_gemma":[0.000009077388,0.00009373505,0.000058347978,0.00003447031,0.00007725448,0.0002045591,0.0001575465,0.00022458755,0.000019907087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021814372,0.00040830098,0.90305865,0.00069153483,0.0014076463,0.0000660454,0.030439766,0.00048094458,0.00021748133,0.02163454,0.027541604,0.01383535],"study_design_scores_gemma":[0.0017617923,0.0003279866,0.714368,0.000046978508,0.000156812,0.00009347412,0.0059175235,0.0020195397,0.0012793402,0.12038242,0.15290266,0.000743471],"about_ca_topic_score_codex":0.0072511393,"about_ca_topic_score_gemma":0.08997979,"teacher_disagreement_score":0.18869066,"about_ca_system_score_codex":0.00006562182,"about_ca_system_score_gemma":0.000009380767,"threshold_uncertainty_score":0.99935967},"labels":[],"label_agreement":null},{"id":"W2314594602","doi":"","title":"Estimating Willingness to Pay to Protect Acequia Irrigation and Culture Lessons from San Miguel County, New Mexico","year":2014,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Willingness to pay; Valuation (finance); Negotiation; Scarcity; Irrigation; Business; Environmental planning; Geography; Socioeconomics; Economic growth; Environmental resource management; Economics; Sociology; Finance; Social science","score_opus":0.07382513330977883,"score_gpt":0.24639337421812776,"score_spread":0.17256824090834894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314594602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641033,0.00016450897,0.03260199,0.0025811673,0.00014530978,0.0001278792,0.000009058665,0.0000049999276,0.00026180982],"genre_scores_gemma":[0.9464176,0.000028327415,0.052798938,0.00049303053,0.0000715583,0.0000048593442,0.000011120879,0.000007743919,0.00016681003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924326,0.000049552666,0.0004719104,0.000076650686,0.00004339357,0.00011523943],"domain_scores_gemma":[0.99935675,0.00004872845,0.00030643138,0.000104817314,0.000017927621,0.00016536567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091147213,0.00010940736,0.00025600678,0.00006164427,0.0003193466,0.00008583394,0.00014512522,0.000051192193,0.00003624157],"category_scores_gemma":[0.000079215235,0.000092389135,0.000025268137,0.000052618503,0.000018256847,0.00020706104,0.00011901189,0.00027045963,0.000026571335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012602641,0.00023776111,0.54395753,0.00008697274,0.00022607982,0.0000012443858,0.080453165,0.003384607,0.0014027627,0.0036051816,0.002856266,0.36366242],"study_design_scores_gemma":[0.0005784391,0.00019366997,0.951556,0.00017860948,0.000008775802,0.000012433597,0.001588977,0.0012973275,0.00037341478,0.032841504,0.011141767,0.00022905275],"about_ca_topic_score_codex":0.00048785607,"about_ca_topic_score_gemma":0.00015325489,"teacher_disagreement_score":0.40759853,"about_ca_system_score_codex":0.00012789835,"about_ca_system_score_gemma":0.000020480784,"threshold_uncertainty_score":0.37675196},"labels":[],"label_agreement":null},{"id":"W2317302876","doi":"10.5849/forsci.11-075","title":"Understanding Landowner Preferences for Woody Biomass Harvesting: A Choice Experiment-Based Approach","year":2013,"lang":"en","type":"article","venue":"Forest Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Parks and Wilderness Society","funders":"","keywords":"Bioenergy; Biomass (ecology); Agroforestry; Business; Sustainability; Revenue; Woody plant; Forest management; Agricultural economics; Environmental science; Economics; Biofuel; Ecology; Waste management; Engineering","score_opus":0.3645597944377529,"score_gpt":0.26161142213280425,"score_spread":0.10294837230494863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317302876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73074645,0.00008568031,0.25528088,0.00015437193,0.00020448884,0.00052962796,0.00002137096,0.000032778928,0.01294437],"genre_scores_gemma":[0.99245477,0.0000021520316,0.0066333446,0.000094195406,0.000046884863,0.00025805747,0.000019630079,0.000010611639,0.00048032863],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888206,0.0000052015785,0.00028613588,0.00044949626,0.000051836094,0.00032528726],"domain_scores_gemma":[0.9994278,0.00006853907,0.00018789899,0.00020634844,0.000010999549,0.00009841409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054270664,0.00011029191,0.00015706294,0.00016212933,0.00029242857,0.00023231137,0.00031449468,0.00004268508,0.00018367874],"category_scores_gemma":[0.000110044304,0.00010616435,0.000048807186,0.00019533306,0.00029365515,0.0007446392,0.000046361063,0.000042162974,0.00025797705],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049603445,0.000118850745,0.74505657,0.000028779023,0.000010390684,5.8864828e-8,0.00029881782,0.0074184425,0.0008554791,0.24549624,0.00060084445,0.00011058361],"study_design_scores_gemma":[0.0016823842,0.00023109974,0.36566576,0.000023798817,0.0000067044393,0.0000012616898,0.00067148067,0.49943125,0.0013585335,0.12853472,0.0017984388,0.00059457344],"about_ca_topic_score_codex":0.0005060376,"about_ca_topic_score_gemma":0.000023495502,"teacher_disagreement_score":0.4920128,"about_ca_system_score_codex":0.0002846734,"about_ca_system_score_gemma":0.00003105791,"threshold_uncertainty_score":0.43292564},"labels":[],"label_agreement":null},{"id":"W2317458009","doi":"10.5751/es-05496-180219","title":"Preferences of Local People for the Use of Peatlands: the Case of the Richest Peatland Region in Finland","year":2013,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Oulun Yliopisto","keywords":"Peat; Geography; Ecology; Landscape ecology; Physical geography; Forestry; Environmental science; Biology; Archaeology; Habitat","score_opus":0.09703329316917875,"score_gpt":0.2109261603807247,"score_spread":0.11389286721154596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317458009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978952,0.0002738827,0.00050357846,0.00084329816,0.00005988047,0.000303251,0.00001848988,6.5940753e-7,0.00010177096],"genre_scores_gemma":[0.99911654,0.00051152485,0.00006633338,0.00008032111,0.000010792974,0.00004190949,0.0000035123007,0.000002673261,0.00016636903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954724,0.000023143139,0.0002545166,0.000094355295,0.000007335336,0.000073420466],"domain_scores_gemma":[0.9991099,0.00052614155,0.00022254625,0.0001255135,0.000007918843,0.000007942272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030825686,0.00004672982,0.00015844243,0.000008906528,0.00008206774,0.0000052312116,0.00007778835,0.00007188004,0.000037454156],"category_scores_gemma":[0.000032084754,0.000026453883,0.00007438682,0.00003966563,0.00023899523,0.00006640875,0.000038975664,0.00005888287,0.0000014422486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005158885,0.000028901084,0.9923782,0.000020727859,0.000029408087,5.1881088e-8,0.0026610629,0.00061765546,0.000002021107,0.0026295157,0.0013268173,0.00030050194],"study_design_scores_gemma":[0.00037037162,0.000049029073,0.98332506,0.0000032527785,0.0000101868645,0.0000062582794,0.0020142447,0.009809344,0.000016059512,0.004073258,0.0002907895,0.000032143325],"about_ca_topic_score_codex":0.0009454922,"about_ca_topic_score_gemma":0.0014420787,"teacher_disagreement_score":0.009191688,"about_ca_system_score_codex":0.00001554912,"about_ca_system_score_gemma":0.0000072979783,"threshold_uncertainty_score":0.14293076},"labels":[],"label_agreement":null},{"id":"W2318137547","doi":"10.1139/cjfas-2015-0598","title":"Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Joint Institute for the Study of the Atmosphere and Ocean","keywords":"Fishing; Abundance (ecology); Fishery; Stock (firearms); Stock assessment; Spatial variability; Relative species abundance; Spatial ecology; Fish stock; Environmental science; Ecology; Geography; Statistics; Biology; Mathematics","score_opus":0.11527961954023207,"score_gpt":0.22120817525448977,"score_spread":0.1059285557142577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318137547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94642353,0.001356041,0.046144716,0.004965415,0.0005411795,0.00009258349,0.0001349311,0.0000027217625,0.0003388668],"genre_scores_gemma":[0.9034278,0.00005708999,0.09601619,0.00017567218,0.00022020133,0.0000020005098,0.0000068515233,0.0000068296345,0.00008740169],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990882,0.000010422184,0.00046210593,0.00022519538,0.000043875043,0.00017018047],"domain_scores_gemma":[0.99904066,0.00023399405,0.0005072312,0.000095547286,0.000013668073,0.00010890529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014276665,0.00007940634,0.00019077222,0.00008388303,0.00031352983,0.00031207857,0.0002270963,0.000037944323,0.0002142795],"category_scores_gemma":[0.00094671256,0.000066764755,0.000020507752,0.000040007475,0.00024604693,0.0015673514,0.00002991391,0.00003701041,0.00000343114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028952122,0.000003180242,0.9728373,0.000009118259,0.00001827304,7.089539e-7,0.001706447,0.000014479557,0.00003652912,0.0009747442,0.0026455023,0.021750808],"study_design_scores_gemma":[0.0007495356,0.00012445629,0.8019794,0.00014714853,0.000017296257,0.000007317072,0.0011124257,0.08413977,0.000020471784,0.09097026,0.020442782,0.00028913413],"about_ca_topic_score_codex":0.008662822,"about_ca_topic_score_gemma":0.0053130835,"teacher_disagreement_score":0.17085792,"about_ca_system_score_codex":0.00007280693,"about_ca_system_score_gemma":0.000091072594,"threshold_uncertainty_score":0.9979386},"labels":[],"label_agreement":null},{"id":"W2320686758","doi":"10.5558/tfc2015-024","title":"Understanding First Nations rights and perspectives on the use of herbicides in forestry: A case study from northeastern Ontario","year":2015,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry","funders":"","keywords":"Opposition (politics); Treaty; First nation; Political science; Human rights; Environmentalism; Public administration; Environmental protection; Environmental ethics; Law; Geography; Ecology","score_opus":0.35126436719236787,"score_gpt":0.2469213942151324,"score_spread":0.10434297297723547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320686758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981647,0.00024045394,0.00010535183,0.00029447905,0.000040539493,0.00033025182,0.00003175324,0.0000053807344,0.0007870635],"genre_scores_gemma":[0.9997717,0.000011050259,0.000031199852,0.000018164268,0.000022975108,0.000021188911,0.000003231242,0.000008293199,0.00011217414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939066,0.00002362098,0.0002474901,0.00019141087,0.000032399963,0.00011442433],"domain_scores_gemma":[0.9993397,0.00023643448,0.0001372029,0.0002497451,0.000004333791,0.000032584114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026831633,0.00008687838,0.00013776388,0.000055351502,0.00018434967,0.00004562459,0.00009708821,0.00003175087,0.00008957788],"category_scores_gemma":[0.00003543046,0.00006314658,0.000028338332,0.000069320406,0.00011367582,0.00019733988,0.000054738175,0.00010772421,0.000024464214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002008095,0.0001559516,0.940579,0.0000018978417,0.000038579972,0.000011685411,0.03202069,0.007925063,2.132626e-7,0.019182196,0.000056901452,0.000007710788],"study_design_scores_gemma":[0.0017089132,0.00033699552,0.8889144,0.00003395288,0.000017832463,0.000026617101,0.047064137,0.016171055,0.000008367017,0.045145575,0.00038941944,0.00018272208],"about_ca_topic_score_codex":0.1790675,"about_ca_topic_score_gemma":0.5887157,"teacher_disagreement_score":0.40964815,"about_ca_system_score_codex":0.00075632404,"about_ca_system_score_gemma":0.000023396362,"threshold_uncertainty_score":0.82639915},"labels":[],"label_agreement":null},{"id":"W232087663","doi":"","title":"Valoración de las vías pecuarias como activos ambientales: una apliación a la cañada del reino de Valencia","year":2011,"lang":"es","type":"article","venue":"Agrónomos: Organo Profesional de los Ingenieros Agrónomos","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valencia; Humanities; Political science; Philosophy; Biology","score_opus":0.06623961975233869,"score_gpt":0.24961256453708805,"score_spread":0.18337294478474936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W232087663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97319585,0.0038495734,0.0037578952,0.00028866032,0.00096832437,0.0015548685,0.001267268,0.0001959656,0.014921568],"genre_scores_gemma":[0.97923625,0.0021934127,0.009147093,0.0014250359,0.00069518405,0.00035928396,0.00030032394,0.00033840624,0.006305025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9928278,0.0005366123,0.0021925962,0.0019513756,0.00032387694,0.0021677953],"domain_scores_gemma":[0.9956158,0.0004011665,0.0016112286,0.0013431128,0.00010325706,0.00092545385],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0027289058,0.0012303068,0.0014190612,0.0005507676,0.00093256833,0.00033066468,0.0014631224,0.0014088114,0.0041719507],"category_scores_gemma":[0.00036810592,0.0015374805,0.0006938147,0.00059761334,0.00067045086,0.0011775406,0.0008064326,0.001500098,0.0036984321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045521426,0.002014778,0.9261924,0.00069756526,0.00081426604,0.00021047008,0.012870236,0.00018581365,0.007983106,0.043798674,0.0031049973,0.00167249],"study_design_scores_gemma":[0.003536698,0.0007756002,0.928752,0.00077060115,0.00040983467,0.00038267954,0.002005448,0.003079965,0.025697764,0.02534494,0.006695713,0.0025487423],"about_ca_topic_score_codex":0.0018525264,"about_ca_topic_score_gemma":0.00013002216,"teacher_disagreement_score":0.018453734,"about_ca_system_score_codex":0.0036687218,"about_ca_system_score_gemma":0.00081994804,"threshold_uncertainty_score":0.9998876},"labels":[],"label_agreement":null},{"id":"W2321412547","doi":"10.1503/cjs.011915","title":"Are patients willing to pay for total shoulder arthroplasty? Evidence from a discrete choice experiment","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"St. Paul's Hospital; Centre for Advancing Health Outcomes; University of British Columbia; Memorial University of Newfoundland; St. Michael's Hospital","funders":"","keywords":"Medicine; Willingness to pay; Arthroplasty; Logistic regression; Preference; Physical therapy; Patient satisfaction; Mixed logit; Surgery; Internal medicine; Statistics","score_opus":0.15812682961873026,"score_gpt":0.24080047821150058,"score_spread":0.08267364859277032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321412547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884916,0.00093863107,0.0070895534,0.0016861442,0.001339602,0.00012262916,0.00030243662,0.0000021132362,0.000027304148],"genre_scores_gemma":[0.99879295,0.00006749776,0.00027236712,0.0003300502,0.00029693698,0.000013864785,0.000004459535,0.000019618716,0.00020227474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889016,0.000011093693,0.000612762,0.00019565278,0.000033111086,0.00025721564],"domain_scores_gemma":[0.99848354,0.00034235616,0.0005864365,0.00013156231,0.000030173409,0.0004259291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036560415,0.0001070249,0.00031067783,0.00021164138,0.00008337687,0.00004529973,0.00008683699,0.000052407097,0.00063994183],"category_scores_gemma":[0.0005748568,0.00008624525,0.0001596238,0.000046170673,0.00002857502,0.0004734053,0.000010650474,0.00005131969,0.00008763022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011859871,0.00000807125,0.9921253,0.0000030377785,0.000031271553,0.0000025302252,0.00017104378,0.00012843749,0.000026799004,0.00003092474,0.004483962,0.0029768127],"study_design_scores_gemma":[0.00029703297,0.000041319894,0.980801,0.00023968046,0.000006197972,0.0000015272639,0.000070395814,0.000031986227,0.00020039901,0.00054696755,0.017586019,0.00017750611],"about_ca_topic_score_codex":0.0013295194,"about_ca_topic_score_gemma":0.0016608322,"teacher_disagreement_score":0.013102057,"about_ca_system_score_codex":0.00045467104,"about_ca_system_score_gemma":0.00008585471,"threshold_uncertainty_score":0.70069146},"labels":[],"label_agreement":null},{"id":"W2321691243","doi":"10.2316/p.2012.788-034","title":"Using Discrete Choice Modelling to Estimate DSM Program Direct Impact and Spillover","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spillover effect; Ceiling (cloud); Electricity; Computer science; Efficient energy use; Installation; Engineering; Environmental economics; Economics; Operating system","score_opus":0.19750519823668913,"score_gpt":0.32899273106817806,"score_spread":0.13148753283148892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321691243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94963336,0.0006047017,0.028721897,0.000046668814,0.00011822521,0.00026442486,0.000021283025,0.000036146088,0.02055329],"genre_scores_gemma":[0.9731491,0.00003461747,0.026104601,0.00008230464,0.00009212602,0.000015064942,0.000007939729,0.000021700906,0.00049254135],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991803,0.0000049867735,0.00026211227,0.00022784938,0.000016908281,0.00030782295],"domain_scores_gemma":[0.9995794,0.000018041153,0.00009126323,0.000143798,0.0000024387007,0.00016503331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030185716,0.00012384934,0.00020556162,0.000072767034,0.000072614646,0.000060519993,0.000052100524,0.000047230707,0.0003455529],"category_scores_gemma":[0.000013965142,0.00012454708,0.000056066063,0.000058631253,0.00002102076,0.0005201159,0.00005703918,0.000046992052,0.00035587035],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037750517,0.00004317196,0.9422306,0.0000068686845,0.000026468542,7.558711e-8,0.0001787198,0.053416032,0.000028527882,0.0024962926,0.000050187995,0.0015192723],"study_design_scores_gemma":[0.00024187962,0.000061901046,0.48454487,0.000008447191,0.00001036012,0.0000027673889,0.000018100429,0.509167,0.000076531935,0.0007957534,0.004778406,0.00029392663],"about_ca_topic_score_codex":0.00056185265,"about_ca_topic_score_gemma":0.000007122323,"teacher_disagreement_score":0.4576857,"about_ca_system_score_codex":0.00015236999,"about_ca_system_score_gemma":0.0000026101266,"threshold_uncertainty_score":0.50788826},"labels":[],"label_agreement":null},{"id":"W2323927274","doi":"10.1061/40503(277)6","title":"Valuing Accidents Using Stated Preference Methods","year":2000,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Preference; Context (archaeology); Consistency (knowledge bases); Interurban; Toll; Accident (philosophy); Risk perception; Work (physics); Willingness to pay; Perception; Computer science; Statistics; Operations research; Psychology; Econometrics; Transport engineering; Geography; Mathematics; Engineering; Economics; Medicine","score_opus":0.4008395174591048,"score_gpt":0.31773032387937233,"score_spread":0.08310919357973245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323927274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8811158,0.00021957258,0.032208893,0.000036173387,0.00010652164,0.00009912468,0.00000934083,0.000031550753,0.08617306],"genre_scores_gemma":[0.9494021,0.00022748906,0.04586385,0.00019605605,0.000028513625,0.000005978072,0.000011626936,0.000015489684,0.0042489246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991065,0.00002219059,0.00039303192,0.00027823736,0.000015970998,0.00018403576],"domain_scores_gemma":[0.99962854,0.000022358405,0.00010328965,0.00019108843,0.000003209678,0.00005152328],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005354099,0.00009298142,0.00017938134,0.00006293482,0.00007516608,0.00004538013,0.00011933729,0.00005282593,0.030606495],"category_scores_gemma":[0.000016196509,0.00011059659,0.00004821879,0.00007601697,0.000021611324,0.00035080928,0.000026812588,0.000061255516,0.0027517558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022746864,0.00014471514,0.8041662,0.0000132171745,0.00011192056,0.0000013869461,0.00081614056,0.015764292,0.0009900806,0.033022664,0.00036788758,0.14457877],"study_design_scores_gemma":[0.00081192213,0.000046770045,0.7803258,0.000012357159,0.00000906885,0.00000574559,0.00010501995,0.14362006,0.001518984,0.05986432,0.013180931,0.0004990336],"about_ca_topic_score_codex":0.00038910142,"about_ca_topic_score_gemma":0.0000055699293,"teacher_disagreement_score":0.14407973,"about_ca_system_score_codex":0.00013901164,"about_ca_system_score_gemma":0.0000048689626,"threshold_uncertainty_score":0.9980247},"labels":[],"label_agreement":null},{"id":"W2326630290","doi":"10.2307/40035886","title":"Detection Functions for Archaeological Survey","year":2006,"lang":"en","type":"article","venue":"American Antiquity","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; University of Toronto","funders":"","keywords":"Artifact (error); Visibility; Transect; Range (aeronautics); Prospecting; Aerial survey; Geography; Computer science; Survey methodology; Distribution (mathematics); Statistics; Archaeology; Geology; Remote sensing; Artificial intelligence; Mathematics; Engineering; Meteorology; Mining engineering","score_opus":0.09653664670009983,"score_gpt":0.23978974933565875,"score_spread":0.1432531026355589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326630290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85919964,0.000051684037,0.13718042,0.0001527577,0.00014755489,0.0001415177,0.00019468051,0.000032244563,0.0028994828],"genre_scores_gemma":[0.99761856,0.000024989342,0.0007358258,0.00013275511,0.00009640394,0.000038680304,0.00016010796,0.000010538944,0.0011821256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925566,0.000019094463,0.00027166225,0.00026560845,0.00001328807,0.00017467664],"domain_scores_gemma":[0.9995593,0.000072826035,0.00019691579,0.0001342121,0.0000074108143,0.000029378523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048573114,0.00007756375,0.00019357594,0.000057778376,0.00011046446,0.000013950882,0.0000661332,0.000033175336,0.00023415017],"category_scores_gemma":[0.000053062864,0.00009110612,0.00007789907,0.00010040866,0.00020900051,0.00007749454,0.000027391774,0.0000526901,0.00072608585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019135048,0.00006687875,0.9859102,0.0000023538178,0.000010441193,1.0319342e-7,0.00001282125,0.00016934898,0.00010012888,0.009149687,0.0007578704,0.0038010522],"study_design_scores_gemma":[0.00018647648,0.00012655668,0.9820981,4.7378572e-7,0.0000025091433,0.0000010191935,0.000025618001,0.0014655043,0.00013058788,0.0069233277,0.008921496,0.000118347976],"about_ca_topic_score_codex":0.004269723,"about_ca_topic_score_gemma":0.0013858683,"teacher_disagreement_score":0.13841891,"about_ca_system_score_codex":0.00008808465,"about_ca_system_score_gemma":0.0000037249488,"threshold_uncertainty_score":0.9332607},"labels":[],"label_agreement":null},{"id":"W2327407726","doi":"","title":"Can We Improve Choice Model Parameter Estimates by Jointly Modelling SP Choices with Corresponding Elicited Confidence Ratings","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Econometrics; Extant taxon; Econometric model; Univariate; Preference; Revealed preference; Statistics; Confidence interval; Economics; Mathematics; Multivariate statistics","score_opus":0.13094792677892433,"score_gpt":0.32083204991883196,"score_spread":0.18988412313990763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327407726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.924627,0.00042867722,0.0661297,0.0040258127,0.000113399146,0.0015867794,0.0021836392,0.0001641107,0.00074088434],"genre_scores_gemma":[0.9860296,0.00091640075,0.008037842,0.00014944146,0.00010539644,0.00067711866,0.000416073,0.00015035213,0.0035177271],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9932737,0.0002504107,0.0017975628,0.00174817,0.0011162385,0.0018139221],"domain_scores_gemma":[0.9947691,0.002474376,0.00062767096,0.0006737992,0.0007850344,0.0006700061],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004823939,0.0005475148,0.00078869855,0.0011667632,0.00091082207,0.00030895617,0.0007396913,0.00035095846,0.00058244093],"category_scores_gemma":[0.00062842184,0.0004953822,0.00019955786,0.0010485214,0.0009413749,0.0017602594,0.000021833861,0.0010669586,0.00031597578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018156655,0.0005861909,0.8259654,0.00063395296,0.00032796458,0.000048498034,0.012038136,0.081760645,0.02548193,0.04482776,0.0036402124,0.0028736477],"study_design_scores_gemma":[0.014037926,0.0036599415,0.4198318,0.002030159,0.00014694595,0.0000025380125,0.009600098,0.41441265,0.033879843,0.08658564,0.011591918,0.00422052],"about_ca_topic_score_codex":0.012433638,"about_ca_topic_score_gemma":0.0041113887,"teacher_disagreement_score":0.40613356,"about_ca_system_score_codex":0.00053539337,"about_ca_system_score_gemma":0.0002311235,"threshold_uncertainty_score":0.9997498},"labels":[],"label_agreement":null},{"id":"W2328517986","doi":"10.5558/tfc2016-022","title":"Reducing the Impact of Forest Harvesting on the Vancouver Island Tourism Industry","year":2016,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Tourism; Forest industry; Business; Resource (disambiguation); Logging; Ecotourism; Forestry; Geography; Environmental resource management; Environmental planning; Economics; Archaeology","score_opus":0.06267372236600022,"score_gpt":0.23227353237156398,"score_spread":0.16959981000556376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328517986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864988,0.00019147494,0.00016839715,0.0014332712,0.00016264549,0.00019013515,0.00005335254,0.000009580526,0.011292383],"genre_scores_gemma":[0.9970864,0.00003502463,0.000009399848,0.000100796424,0.00020382366,0.000019109368,0.0000013151234,0.000017663891,0.00252644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991912,0.000027848353,0.00033150453,0.00018085461,0.000035742018,0.00023283673],"domain_scores_gemma":[0.99885875,0.0002731029,0.00032103527,0.0005121383,0.000005111379,0.000029871615],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007205451,0.00011529189,0.00014517992,0.00002294125,0.00021272231,0.000028061771,0.0003485683,0.00009137945,0.0009267952],"category_scores_gemma":[0.00010545265,0.000049521794,0.0001236518,0.00006900973,0.00019777488,0.0001587944,0.000081292776,0.000219937,0.00024074632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004235189,0.0000978298,0.8726869,0.000009517993,0.00016399026,0.0000011143594,0.00075997604,0.032436404,0.0002784994,0.038800526,0.05108874,0.0036341196],"study_design_scores_gemma":[0.00063051877,0.000165556,0.9556675,0.00005696321,0.000008525345,0.000003826701,0.0001709242,0.004664992,0.00064737856,0.036540512,0.001291732,0.00015158173],"about_ca_topic_score_codex":0.0011532558,"about_ca_topic_score_gemma":0.00022879544,"teacher_disagreement_score":0.082980566,"about_ca_system_score_codex":0.0002560401,"about_ca_system_score_gemma":0.000029604977,"threshold_uncertainty_score":0.99998647},"labels":[],"label_agreement":null},{"id":"W2334115192","doi":"10.1002/bdm.1794","title":"True Context‐dependent Preferences? The Causes of Market‐dependent Valuations","year":2013,"lang":"en","type":"article","venue":"Journal of Behavioral Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Context (archaeology); Product (mathematics); Value (mathematics); Reservation; Microeconomics; Distribution (mathematics); Market price; Econometrics","score_opus":0.17888837313145575,"score_gpt":0.3073040042169438,"score_spread":0.12841563108548806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334115192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894498,0.0012959401,0.0067410367,0.00012048645,0.0006338022,0.00024209604,0.000027666903,0.0000036664137,0.001485493],"genre_scores_gemma":[0.99772495,0.00020986896,0.0015544113,0.00007475797,0.000071320785,0.000013068315,0.0000011468034,0.000014283369,0.0003361722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980368,0.00004846044,0.0013947787,0.00017898332,0.00017951155,0.00016147338],"domain_scores_gemma":[0.9978807,0.0002056512,0.0014742152,0.0002932471,0.000087883425,0.00005832539],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014800711,0.00012791099,0.00039925528,0.00020924257,0.000108781285,0.000098484896,0.00037654547,0.000082013394,0.0062180227],"category_scores_gemma":[0.00010068354,0.00010054391,0.00023224062,0.00008992277,0.0000639747,0.00057448633,0.000090759924,0.00020829921,0.00023695771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008737928,0.000584198,0.7426188,0.000013747173,0.00015039314,0.0000070271594,0.0014984137,0.003909398,0.00037056487,0.005190278,0.0039635915,0.24160619],"study_design_scores_gemma":[0.0008076888,0.00026648218,0.9521082,0.000099913195,0.00006641269,0.00003351819,0.0015220041,0.0012847692,0.00018115126,0.042758048,0.0006928015,0.00017899784],"about_ca_topic_score_codex":0.000160697,"about_ca_topic_score_gemma":0.00004830944,"teacher_disagreement_score":0.24142718,"about_ca_system_score_codex":0.00017866277,"about_ca_system_score_gemma":0.000026525702,"threshold_uncertainty_score":0.9946904},"labels":[],"label_agreement":null},{"id":"W2334756302","doi":"10.1139/x11-147","title":"A mixed-modes approach for estimating hiking on trails through diverse forest landscapes: the case of the Appalachian Trail","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Estimation; Sample (material); Traverse; Geography; Sampling design; Sample size determination; Appalachian Region; Sampling (signal processing); Survey methodology; Small area estimation; Environmental resource management; Statistics; Environmental science; Computer science; Cartography; Physical geography; Mathematics; Engineering","score_opus":0.33340093947262633,"score_gpt":0.28962007429263553,"score_spread":0.0437808651799908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334756302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791296,0.00027093594,0.005427436,0.00026091226,0.00019055154,0.00039096634,0.000112128524,0.0000014847059,0.014215943],"genre_scores_gemma":[0.9940107,0.000011547193,0.00561534,0.000045108012,0.00015522749,0.000022250395,0.0000039973197,0.000019110874,0.00011675917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879,0.00006460643,0.00052491354,0.00017166312,0.00006141991,0.00038736293],"domain_scores_gemma":[0.99898,0.00017656483,0.00035998187,0.00026927906,0.000049661532,0.00016451394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023329374,0.00010477311,0.00023562193,0.00020806835,0.0005119659,0.000057268266,0.0004909309,0.000074550604,0.00010052707],"category_scores_gemma":[0.00029356842,0.000074469106,0.00019028345,0.00015806577,0.00027156022,0.00021611848,0.000027887883,0.00034783018,0.000010991797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006131526,0.000099514575,0.727777,0.000094041716,0.00014247886,0.000051882238,0.0122563895,0.017164782,0.0000037300924,0.23559023,0.0018222145,0.0049364446],"study_design_scores_gemma":[0.0027130924,0.0010381674,0.760649,0.0002048231,0.000055767086,0.0007165771,0.02215521,0.0770992,0.00014729236,0.1317036,0.0030636997,0.00045354295],"about_ca_topic_score_codex":0.012172611,"about_ca_topic_score_gemma":0.06729556,"teacher_disagreement_score":0.10388663,"about_ca_system_score_codex":0.00024202574,"about_ca_system_score_gemma":0.00017059254,"threshold_uncertainty_score":0.9944054},"labels":[],"label_agreement":null},{"id":"W2336736822","doi":"10.1080/08974438.2015.1054542","title":"Consumer Willingness to Pay for Dairy Products With the<i>100% Canadian Milk</i>Label: A Discrete Choice Experiment","year":2016,"lang":"en","type":"article","venue":"Journal of International Food & Agribusiness Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Willingness to pay; Ice cream; Business; Milk products; Marketing; Agricultural science; Agricultural economics; Food science; Economics; Environmental science","score_opus":0.05116563930694767,"score_gpt":0.23232869308721027,"score_spread":0.1811630537802626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336736822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95182705,0.00056265946,0.008025392,0.03705851,0.0012687257,0.00035648636,0.00016938978,0.000006263713,0.000725526],"genre_scores_gemma":[0.99624574,0.00008685102,0.0018339683,0.0005439094,0.00059630844,0.00004300588,0.000010063657,0.00002702843,0.00061309966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987706,0.000025476444,0.0006119882,0.00025082025,0.00009416249,0.00024693413],"domain_scores_gemma":[0.9985943,0.0002577965,0.0006692441,0.00014972681,0.0002060744,0.00012289481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014194138,0.00015175971,0.00024662178,0.00016701294,0.00013477288,0.000084905136,0.00035181938,0.000042494812,0.00014964175],"category_scores_gemma":[0.00058963307,0.000087637,0.00006907641,0.00011213154,0.000041476655,0.0004085318,0.000045293265,0.000086622946,0.000030261172],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011683041,0.00021745937,0.9574173,0.00008033228,0.0010560615,0.000008559209,0.0009035077,0.0010184753,0.0034990062,0.0052308603,0.015315321,0.014084793],"study_design_scores_gemma":[0.0023398132,0.00028978978,0.64944345,0.00032299935,0.000029229499,0.00004934246,0.0002118754,0.00020929777,0.0013005182,0.00037815122,0.34504,0.00038551094],"about_ca_topic_score_codex":0.0006259875,"about_ca_topic_score_gemma":0.0012409249,"teacher_disagreement_score":0.3297247,"about_ca_system_score_codex":0.00047636984,"about_ca_system_score_gemma":0.000076247394,"threshold_uncertainty_score":0.35737333},"labels":[],"label_agreement":null},{"id":"W2336956948","doi":"10.2139/ssrn.2769192","title":"Canary in a Coal Mine: Infant Mortality, Property Values, and Tradeoffs Associated with Mid-20th Century Air Pollution","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Property value; Coal mining; Air pollution; Pollution; Environmental science; Property (philosophy); Coal; Geography; Political science; Archaeology; Law; Biology; Ecology","score_opus":0.026555150214236805,"score_gpt":0.19842174385447026,"score_spread":0.17186659364023346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336956948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940331,0.0027454963,0.00036478598,0.0018154037,0.00009737331,0.00017003583,0.000039593724,0.000011417386,0.0007227749],"genre_scores_gemma":[0.9931894,0.0053477725,0.000015683938,0.00015885137,0.00006617007,0.000009014537,0.0000110833935,0.00002098258,0.0011810544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821067,0.000041907573,0.0004502167,0.00027768957,0.000052519874,0.0009670251],"domain_scores_gemma":[0.99947256,0.000019059315,0.0003076426,0.000115061746,0.000006944221,0.00007873207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014522326,0.00014912155,0.00026746924,0.00014535087,0.00009855932,0.000021965501,0.00011138729,0.00009187228,0.000054549477],"category_scores_gemma":[0.000042392796,0.00010131505,0.00004939232,0.000087562985,0.00008019901,0.00036765522,0.000026738078,0.00040474944,0.00002366818],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048211747,0.000110489644,0.9863206,0.0000037489915,0.00016031822,0.0000038528924,0.0001821475,0.0001268379,0.000072653726,0.010887838,0.000084579464,0.0019987242],"study_design_scores_gemma":[0.0021591291,0.00032884622,0.9490317,0.000046592064,0.000016793683,0.00008486513,0.0002993864,0.0002185022,0.000024117106,0.046991315,0.0005561719,0.00024259636],"about_ca_topic_score_codex":0.0016283875,"about_ca_topic_score_gemma":0.008158539,"teacher_disagreement_score":0.037288915,"about_ca_system_score_codex":0.002282659,"about_ca_system_score_gemma":0.00026820428,"threshold_uncertainty_score":0.5969074},"labels":[],"label_agreement":null},{"id":"W2337322818","doi":"10.1068/c3001rvw","title":"Review: Fish: Water Resources Planning and Management, Handbook on Multi-Level Governance, Climate Change Policies: Global Challenges and Future Prospects, Polluted and Dangerous: America's Worst Abandoned Properties and What Can Be Done about Them, the International Handbook on Non-Market Environmental Valuation","year":2012,"lang":"en","type":"article","venue":"Environment and Planning C Government and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Corporate governance; Climate change; Fish <Actinopterygii>; Environmental planning; Business; Environmental resource management; Natural resource economics; Environmental science; Fishery; Economics; Ecology","score_opus":0.10132304754542387,"score_gpt":0.2317512601176395,"score_spread":0.13042821257221562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337322818","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7779063,0.21395116,0.000011654142,0.0053785965,0.00014824505,0.00079063285,0.00049047684,0.000011838598,0.0013111306],"genre_scores_gemma":[0.4518903,0.5449282,0.00008363526,0.0021849533,0.0004030879,0.00009695419,0.00003652901,0.000018766304,0.0003575887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986149,0.00003898889,0.00032787654,0.00048218798,0.00015546821,0.00038056835],"domain_scores_gemma":[0.999386,0.000042609976,0.00026687016,0.0001683536,0.0000010617879,0.00013509225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042647618,0.00034017186,0.00033541536,0.00004202616,0.00036016488,0.00019846956,0.00008871605,0.00008967919,0.000039856874],"category_scores_gemma":[0.000007008384,0.00025980442,0.000029939249,0.000019866584,0.00025264244,0.0005301006,0.0002708225,0.00012875363,0.0000069137986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006033009,0.0003327398,0.7823294,0.0007342947,0.00052980304,0.000005580976,0.05974585,0.000015917401,0.00017423047,0.0020503062,0.002288997,0.15118958],"study_design_scores_gemma":[0.0015954279,0.00016653712,0.9134129,0.00088390865,0.00006150468,0.000015285557,0.0030980627,0.00031680393,0.000061470404,0.0000814798,0.07990867,0.00039793138],"about_ca_topic_score_codex":0.00005615496,"about_ca_topic_score_gemma":0.0000071161226,"teacher_disagreement_score":0.33097705,"about_ca_system_score_codex":0.00022073256,"about_ca_system_score_gemma":0.0000012354224,"threshold_uncertainty_score":0.9999854},"labels":[],"label_agreement":null},{"id":"W2337324867","doi":"10.1016/j.jocm.2016.03.002","title":"A formal and empirical comparison of two score measures for best–worst scaling","year":2016,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Victoria","funders":"","keywords":"Aggregate (composite); Scaling; Set (abstract data type); Econometrics; Computer science; Best practice; Data set; Statistics; Mathematics; Economics; Management","score_opus":0.34600149292892074,"score_gpt":0.32455674484749514,"score_spread":0.021444748081425602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337324867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57670575,0.0011791509,0.4216883,0.000158271,0.00008348262,0.000047708454,0.000008618009,0.0000012411487,0.00012747354],"genre_scores_gemma":[0.9904862,0.0002565921,0.008976544,0.00003500027,0.00018646294,0.000002116569,6.4480327e-7,0.000012348949,0.00004408176],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988338,0.000007773124,0.0008460924,0.00011922656,0.000042383308,0.00015073002],"domain_scores_gemma":[0.9988949,0.00016356356,0.00076898054,0.00007558273,0.00003145629,0.00006555075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007885441,0.00008277221,0.00037168618,0.000121354184,0.00006112537,0.000018953242,0.00009327699,0.000051723604,0.000020123414],"category_scores_gemma":[0.000055575823,0.00006884379,0.000116570714,0.000029698449,0.00004321002,0.00044587144,0.000021149479,0.00007471624,0.0000062426175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072635514,0.00010610324,0.87184596,0.000037671536,0.00007113774,2.0789066e-7,0.00063161016,0.11144526,0.00031682476,0.0033963004,0.000080870515,0.011995427],"study_design_scores_gemma":[0.0069239605,0.000740873,0.038972795,0.00047105365,0.00010957615,0.000023466659,0.0003385677,0.89109963,0.0035197455,0.05080708,0.006496921,0.0004963257],"about_ca_topic_score_codex":0.000017511175,"about_ca_topic_score_gemma":0.000005494104,"teacher_disagreement_score":0.83287317,"about_ca_system_score_codex":0.00007730675,"about_ca_system_score_gemma":0.000012144439,"threshold_uncertainty_score":0.28073683},"labels":[],"label_agreement":null},{"id":"W2337465909","doi":"10.1061/9780784412688.034","title":"Evidence-Based Analyses of Hospital Site Selection for the Aging Population in Dallas, Texas","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Geographic information system; Population; Plan (archaeology); Decision support system; Health care; Process (computing); Knowledge management; Site selection; Selection (genetic algorithm); Computer science; Population ageing; Process management; Business; Geography; Medicine; Data mining; Environmental health","score_opus":0.23565470022476784,"score_gpt":0.2927733930962601,"score_spread":0.057118692871492266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337465909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782614,0.0014749734,0.019180343,0.0003435598,0.00015861007,0.00022270228,0.0000075990356,0.0000065642103,0.0003442313],"genre_scores_gemma":[0.99850327,0.00009755093,0.0010612655,0.00007809176,0.00006859297,0.000019841009,0.00001819694,0.000006956853,0.00014623607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994208,0.000008388173,0.00031952644,0.000114862305,0.000015679963,0.00012073553],"domain_scores_gemma":[0.99956393,0.00013137668,0.00019412463,0.000088899484,0.0000049862765,0.000016681342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006024402,0.00005625758,0.00012412482,0.000095368036,0.00003760417,0.000012564133,0.000049256367,0.000033514792,0.00025233012],"category_scores_gemma":[0.00006730924,0.000050944258,0.000060768576,0.000096137686,0.0000137206425,0.00042813373,0.0000098918645,0.00003077473,0.000055433986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041662843,0.00003675925,0.98792243,0.00000790253,0.000009631305,2.5583895e-9,0.00006432481,0.0075278385,0.000052708816,0.0037674948,0.000047049503,0.0005596705],"study_design_scores_gemma":[0.00018372708,0.000036925114,0.9326873,0.000010414444,0.0000074561876,5.0915094e-8,0.000030711257,0.065570466,0.00070220337,0.0005774845,0.00012752243,0.00006572832],"about_ca_topic_score_codex":0.002068672,"about_ca_topic_score_gemma":0.00014539689,"teacher_disagreement_score":0.058042627,"about_ca_system_score_codex":0.00013181378,"about_ca_system_score_gemma":0.0000031426036,"threshold_uncertainty_score":0.3127227},"labels":[],"label_agreement":null},{"id":"W2337527145","doi":"10.2139/ssrn.2766865","title":"The Cost of Endangered Species Protection: Evidence from Auctions for Natural Resources","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Endangered species; Common value auction; Natural resource economics; Business; Umbrella species; Environmental science; Economics; Ecology; Biology; Habitat; Microeconomics","score_opus":0.07868688023942527,"score_gpt":0.22231301737464362,"score_spread":0.14362613713521835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337527145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86358976,0.01805675,0.10983766,0.0067363083,0.0008186575,0.0004744133,0.00008276188,0.00001345966,0.0003902362],"genre_scores_gemma":[0.9851493,0.00875074,0.000117886775,0.000013540502,0.0003436996,0.00004205626,0.0000014189307,0.000010440446,0.005570897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888736,0.000018636056,0.00037985988,0.00015386246,0.000030932748,0.0005293214],"domain_scores_gemma":[0.9992487,0.0001745054,0.00039523278,0.00013961864,0.000017478718,0.000024453746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011615339,0.0000754316,0.00014255705,0.000048738482,0.00030430776,0.000036286514,0.00018631137,0.000038483653,0.000098705976],"category_scores_gemma":[0.00018875457,0.0000514884,0.000114729824,0.000045386274,0.00009475972,0.000269628,0.000020653899,0.00023948278,0.00006253281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059661333,0.00012891379,0.1718946,0.000015464477,0.0009564565,3.118589e-7,0.0014842193,0.00019877328,0.009641372,0.5813167,0.0012617783,0.23250477],"study_design_scores_gemma":[0.0012716542,0.00036753356,0.1977227,0.00006904573,0.000025179897,0.00003300639,0.0014698028,0.0005171991,0.0018100169,0.73510665,0.06135092,0.0002562892],"about_ca_topic_score_codex":0.00010794213,"about_ca_topic_score_gemma":0.0005457176,"teacher_disagreement_score":0.23224849,"about_ca_system_score_codex":0.000826403,"about_ca_system_score_gemma":0.00007192142,"threshold_uncertainty_score":0.234052},"labels":[],"label_agreement":null},{"id":"W2338068280","doi":"10.5296/jpmr.v2i1.8562","title":"The Commons: Three Case Studies of Community Forested Land","year":2016,"lang":"en","type":"article","venue":"Journal of Public Management Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Commons; Recreation; Work (physics); Natural (archaeology); Land use; Geography; Common-pool resource; Environmental resource management; Environmental planning; Business; Political science; Ecology; Economics; Engineering; Law; Civil engineering","score_opus":0.5822270859316324,"score_gpt":0.3815964227474094,"score_spread":0.200630663184223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338068280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97783786,0.0020802668,0.0009836123,0.006620561,0.0001348333,0.0001768547,0.000010516342,0.0000025894692,0.0121529065],"genre_scores_gemma":[0.9960957,0.0025626177,0.00012054906,0.000019738953,0.00004168632,0.000009862141,5.443396e-7,0.0000070705987,0.0011422335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869996,0.00021714989,0.0006712467,0.000067923516,0.000111366266,0.00023237203],"domain_scores_gemma":[0.9982618,0.00076743815,0.00045650662,0.00035046157,0.00010491594,0.000058848258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013533584,0.00006187066,0.00021851154,0.0003041887,0.00038911018,0.000061786326,0.00044737087,0.00002837841,0.00012191556],"category_scores_gemma":[0.00045238514,0.00003716475,0.00007896103,0.00016285737,0.00032235432,0.00031119282,0.00034618474,0.00023176102,0.000056465284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032035387,0.00020511737,0.59515655,0.00007503846,0.0006817125,0.000058018784,0.0003841861,0.000009649269,0.0000055191417,0.3323988,0.011894684,0.059098694],"study_design_scores_gemma":[0.0022488176,0.0005536596,0.597989,0.00007302249,0.000017492632,0.00015259485,0.006622466,0.00013076962,0.000022366987,0.34057847,0.051466286,0.0001450629],"about_ca_topic_score_codex":0.000097944816,"about_ca_topic_score_gemma":0.00056472514,"teacher_disagreement_score":0.05895363,"about_ca_system_score_codex":0.00022687633,"about_ca_system_score_gemma":0.000009869515,"threshold_uncertainty_score":0.46904972},"labels":[],"label_agreement":null},{"id":"W2342924510","doi":"10.1111/cjag.12102","title":"Valuing the Willingness‐to‐Pay for Sustainable Seafood: Integrated Multitrophic versus Closed Containment Aquaculture","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aquaculture; Fishery; Fish farming; Willingness to pay; Agricultural science; Biology; Ecology; Fish <Actinopterygii>; Economics","score_opus":0.058022956042663866,"score_gpt":0.1761152340452535,"score_spread":0.11809227800258965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342924510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97989166,0.00039801036,0.00048546487,0.014805025,0.0020072726,0.0009901482,0.00053990923,0.000011359095,0.00087114377],"genre_scores_gemma":[0.99375606,0.00010128787,0.00045689775,0.00062578527,0.00078725285,0.000102668084,0.00005436061,0.000050493658,0.0040651974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967029,0.00003628942,0.0014980583,0.00058579916,0.000012404781,0.001164545],"domain_scores_gemma":[0.99676174,0.0002716616,0.0011537509,0.0003787144,0.00018822287,0.0012458826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011450312,0.00042505958,0.00081649004,0.00028942025,0.00049885095,0.00026630636,0.00081453513,0.00021019707,0.0004968927],"category_scores_gemma":[0.0004204529,0.00026750207,0.00045081365,0.00015072589,0.00013546263,0.000925867,0.000043477816,0.00026573823,0.00024961002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010800598,0.00012440157,0.0987268,0.00016278222,0.0022411102,0.00008329571,0.0075062197,0.023521503,0.0005726216,0.8266132,0.029655067,0.009712927],"study_design_scores_gemma":[0.010147818,0.0024012513,0.36863747,0.00019071673,0.00019329213,0.00020133413,0.013560012,0.0005410716,0.00050459895,0.028972533,0.57261086,0.0020390598],"about_ca_topic_score_codex":0.016516177,"about_ca_topic_score_gemma":0.21920201,"teacher_disagreement_score":0.7976407,"about_ca_system_score_codex":0.0061304807,"about_ca_system_score_gemma":0.00039395413,"threshold_uncertainty_score":0.9999777},"labels":[],"label_agreement":null},{"id":"W2343817833","doi":"","title":"Exploiting the Elicited Confidence Ratings of SP Surveys for Better Estimates of Choice Model Parameters: the Case of Commuting Mode Choices in a Multimodal Transportation System","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Econometrics; Mode choice; Context (archaeology); Preference; Statistics; Discrete choice; Revealed preference; Mode (computer interface); Goodness of fit; Choice set; Economics; Heteroscedasticity; Mathematics; Computer science; Engineering; Geography","score_opus":0.18364459414016882,"score_gpt":0.36085317955013435,"score_spread":0.17720858540996554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343817833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96009094,0.00014333075,0.034302205,0.00083379407,0.000051016683,0.0020631314,0.0023943225,0.000027155693,0.000094137664],"genre_scores_gemma":[0.9936889,0.00011219733,0.0052171736,0.00002000399,0.000031614643,0.00064316904,0.00019135421,0.00005584382,0.000039778428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99469584,0.00062615826,0.002650743,0.00069217756,0.0005408668,0.0007942115],"domain_scores_gemma":[0.9914456,0.005811385,0.0011583571,0.0005442853,0.00091102056,0.00012932831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013761904,0.0002825517,0.0007355838,0.0006934575,0.00041125045,0.000042888863,0.000638235,0.00020277535,0.000037659698],"category_scores_gemma":[0.0008842435,0.0001999646,0.00025671668,0.00084967137,0.0010100807,0.0007795289,0.0000103081975,0.00051129155,0.0000064624287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052273175,0.0002563831,0.8670588,0.0014996738,0.00015067874,0.00001501146,0.02064344,0.06317746,0.0073244255,0.036900744,0.000042945758,0.002407677],"study_design_scores_gemma":[0.0031128423,0.00047813842,0.8262339,0.00091852446,0.000043497577,9.725961e-7,0.021932835,0.12833484,0.012166178,0.0063847634,0.000031908003,0.0003615732],"about_ca_topic_score_codex":0.041480046,"about_ca_topic_score_gemma":0.026637804,"teacher_disagreement_score":0.06515738,"about_ca_system_score_codex":0.00017987097,"about_ca_system_score_gemma":0.000120731616,"threshold_uncertainty_score":0.9911235},"labels":[],"label_agreement":null},{"id":"W2344097477","doi":"","title":"Value of country of origin labeling information for beef and pork in the United States","year":2011,"lang":"en","type":"article","venue":"SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Business; Mathematics; Statistics","score_opus":0.047781254282992215,"score_gpt":0.15779972249301064,"score_spread":0.11001846821001843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344097477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871813,0.0000881898,0.004607177,0.00011779567,0.000097334785,0.00057971495,0.0022452415,0.000025413563,0.0050578564],"genre_scores_gemma":[0.9951489,0.0010998298,0.0025162871,0.000040777904,0.000008426039,1.15584825e-7,0.0005778928,0.000015379863,0.00059239595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985182,0.00007963757,0.0004631418,0.00038214502,0.00011843027,0.00043841853],"domain_scores_gemma":[0.9983347,0.00016028364,0.0009255096,0.00034037983,0.000106742285,0.00013236968],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043268496,0.00025548832,0.000580305,0.0011958993,0.00023606955,0.000015290683,0.0006906254,0.00016737657,0.00025894537],"category_scores_gemma":[0.000025154635,0.0003437434,0.00019771997,0.0009908789,0.0004609402,0.0013936055,0.00021718205,0.00018573868,0.000012898317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020026907,0.0007111969,0.6364343,0.000637578,0.00051882444,0.0000853183,0.04075892,0.0030448518,0.00012199005,0.3131171,0.00074236427,0.0018248516],"study_design_scores_gemma":[0.008555981,0.0007457168,0.82641524,0.00019514111,0.0002442804,0.000011376022,0.077414244,0.011209866,0.00021107508,0.0044183643,0.06973797,0.0008407398],"about_ca_topic_score_codex":0.008009232,"about_ca_topic_score_gemma":0.00076864596,"teacher_disagreement_score":0.3086987,"about_ca_system_score_codex":0.00038024882,"about_ca_system_score_gemma":0.00008422501,"threshold_uncertainty_score":0.9999015},"labels":[],"label_agreement":null},{"id":"W2344331325","doi":"10.1016/j.jval.2015.03.096","title":"Should decision makers embrace non-constant discounting?","year":2015,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Discounting; Constant (computer programming); Economics; Econometrics; Mathematical economics; Microeconomics; Computer science","score_opus":0.23457006303464598,"score_gpt":0.28773263669557353,"score_spread":0.05316257366092755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344331325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97048414,0.0018463328,0.0055482388,0.0020382747,0.00077833596,0.0003452269,0.0000399981,0.000021091691,0.018898355],"genre_scores_gemma":[0.9950174,0.00034100586,0.0033382007,0.0008510985,0.000071636896,0.00001632266,0.000013762187,0.00002205953,0.0003285103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843293,0.000024880934,0.00079450547,0.00037423332,0.0000512299,0.00032222643],"domain_scores_gemma":[0.9991814,0.00006894045,0.00031222566,0.00027081964,0.0000050044,0.00016159068],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021769993,0.000120607205,0.00031985054,0.00017280082,0.000059936116,0.000036582303,0.00014019733,0.00007719061,0.00012568154],"category_scores_gemma":[0.00011410942,0.00014074135,0.00005004414,0.00014564885,0.000041902436,0.00024874762,0.00005534619,0.00014879828,0.0012098221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034971054,0.00012893946,0.8836919,0.0000426678,0.000009920407,0.000003396457,0.0014601588,0.042430084,0.0000027447502,0.06481529,0.003765391,0.0036145188],"study_design_scores_gemma":[0.004561189,0.0004214102,0.512009,0.00024260483,0.0000040125838,0.000016161672,0.0020414607,0.23617665,0.000031628635,0.19244766,0.05120976,0.00083845446],"about_ca_topic_score_codex":0.003996611,"about_ca_topic_score_gemma":0.00007739357,"teacher_disagreement_score":0.3716829,"about_ca_system_score_codex":0.00078878563,"about_ca_system_score_gemma":0.00007584851,"threshold_uncertainty_score":0.99956787},"labels":[],"label_agreement":null},{"id":"W2345298043","doi":"10.1146/annurev-resource-100815-095243","title":"Early Pioneers in Natural Resource Economics","year":2016,"lang":"en","type":"article","venue":"Annual Review of Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Nonmarket forces; Natural resource; Salience (neuroscience); Bequest; Valuation (finance); Natural capital; Managerial economics; Microeconomics; Context (archaeology); Public economics; Positive economics; Neoclassical economics; Applied economics; Ecosystem services; Computer science; Political science; Ecology; Law","score_opus":0.028370126674566454,"score_gpt":0.20916494780392145,"score_spread":0.180794821129355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345298043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93739015,0.033300277,0.000067287765,0.0027043826,0.00024566407,0.00049190095,0.00042392508,0.000026712394,0.025349695],"genre_scores_gemma":[0.91026604,0.08405439,0.0003724904,0.0022479051,0.0001572158,0.000049712355,0.000057415946,0.00007423927,0.0027206102],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99710083,0.000048330876,0.0017101936,0.00066521636,0.000032245705,0.00044318137],"domain_scores_gemma":[0.99804515,0.00017543891,0.00097633863,0.00065308856,0.000017987359,0.00013198516],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016293577,0.0002961926,0.00094396673,0.00026883592,0.000051495957,0.000022366301,0.0004981946,0.00018048365,0.00045704408],"category_scores_gemma":[0.00019363863,0.0002949719,0.00030900064,0.00012037921,0.00017335004,0.0005689024,0.00016137064,0.00020632727,0.0010170186],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023411034,0.00048956595,0.4974832,0.0024142142,0.00044020975,0.000008035133,0.0024573102,0.0010242406,0.000042038577,0.30702287,0.021161329,0.16722287],"study_design_scores_gemma":[0.0016665208,0.000155377,0.1307186,0.0014653995,0.00002015939,0.000010573703,0.00029025838,0.00021505718,0.00009935045,0.006283826,0.858303,0.00077187544],"about_ca_topic_score_codex":0.000115313356,"about_ca_topic_score_gemma":0.00002918259,"teacher_disagreement_score":0.8371417,"about_ca_system_score_codex":0.0005129542,"about_ca_system_score_gemma":0.00003331313,"threshold_uncertainty_score":0.99995023},"labels":[],"label_agreement":null},{"id":"W236477431","doi":"","title":"The Efficient Land Trust: Considering Privately Accruing NonMarket Values of Conservation Easements","year":2012,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Easement; Nonmarket forces; Nature Conservation; Business; Natural resource economics; Environmental resource management; Economics; Microeconomics; Ecology; Political science; Law","score_opus":0.07367136038357192,"score_gpt":0.20693296854388218,"score_spread":0.13326160816031027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W236477431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98917454,0.0007135179,0.0048918906,0.00014556843,0.00025474105,0.00017294173,0.000048238762,0.000012602387,0.004585941],"genre_scores_gemma":[0.9988057,0.000103692066,0.0005395403,0.00003420093,0.000030103414,5.959732e-7,0.000017886525,0.000009547256,0.00045875492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992157,0.000030133066,0.00030082557,0.00016985308,0.00005774479,0.0002257475],"domain_scores_gemma":[0.9990767,0.00012590199,0.0004905248,0.00022556153,0.000019414643,0.00006187749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009087287,0.00010036896,0.00022874835,0.00008967265,0.0003031211,0.000022399016,0.0001803909,0.00006379684,0.00031195136],"category_scores_gemma":[0.00007605545,0.000118891076,0.00010120495,0.000088742665,0.00020981223,0.0003123422,0.000109590255,0.00006963571,0.00012873433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002278472,0.000053127973,0.83078396,0.000018678216,0.00006915102,1.8982847e-7,0.0011273606,0.00047088647,0.000010066906,0.16726044,0.00015844416,0.00002488798],"study_design_scores_gemma":[0.0005554913,0.000025147003,0.5361598,0.00001144832,0.00001947363,0.0000011850008,0.0017908956,0.0029985702,0.000010595078,0.45749372,0.000812976,0.00012068632],"about_ca_topic_score_codex":0.00046673635,"about_ca_topic_score_gemma":0.000050194863,"teacher_disagreement_score":0.29462418,"about_ca_system_score_codex":0.00014465782,"about_ca_system_score_gemma":0.000011492525,"threshold_uncertainty_score":0.48482373},"labels":[],"label_agreement":null},{"id":"W2367707061","doi":"10.1016/j.jval.2016.04.004","title":"Statistical Methods for the Analysis of Discrete Choice Experiments: A Report of the ISPOR Conjoint Analysis Good Research Practices Task Force","year":2016,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1312,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Calgary","funders":"","keywords":"Conjoint analysis; Task force; Task (project management); Management science; Computer science; Econometrics; Economics; Microeconomics; Management; Preference; Political science","score_opus":0.3878825092848187,"score_gpt":0.4728920069229144,"score_spread":0.08500949763809568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367707061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5784411,0.002936676,0.4080064,0.007369265,0.00021519965,0.0013251865,0.0008293185,0.0000061615942,0.0008707147],"genre_scores_gemma":[0.9864957,0.00042888292,0.012372564,0.00007329229,0.000022175209,0.00011623037,0.00002018685,0.000010610533,0.00046036535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975178,0.00040790034,0.0013364648,0.00038835948,0.00008570486,0.00026374703],"domain_scores_gemma":[0.99334186,0.0039576646,0.0019474393,0.00066705333,0.000033020424,0.000052984295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011650541,0.000088602974,0.000588841,0.00040118457,0.000116323456,0.000013704422,0.00027129412,0.000053706965,0.0002122544],"category_scores_gemma":[0.002644614,0.000054620963,0.00024223955,0.0009801174,0.0001952671,0.00013252675,0.00008939776,0.00010183573,0.0000043973764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004892892,0.00014767078,0.89251894,0.000071183196,0.0020934623,3.1423988e-7,0.0011173233,0.009120056,0.00017045256,0.09167774,0.0001012953,0.0029326638],"study_design_scores_gemma":[0.00046155415,0.00011507136,0.89676553,0.000023063665,0.00031402108,7.0664015e-7,0.0005370755,0.08938865,0.00030998027,0.008151196,0.003835399,0.00009774934],"about_ca_topic_score_codex":0.013433859,"about_ca_topic_score_gemma":0.00029160618,"teacher_disagreement_score":0.40805462,"about_ca_system_score_codex":0.00032984128,"about_ca_system_score_gemma":0.00007248799,"threshold_uncertainty_score":0.99313575},"labels":[],"label_agreement":null},{"id":"W2396021487","doi":"10.1080/21606544.2019.1581094","title":"Valuing malaria morbidity: results from a global meta-analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"FP7 Environment","keywords":"Willingness to pay; Meta-analysis; Malaria; Meta-regression; Replicate; Random effects model; Welfare; Econometrics; Economics; Order (exchange); Public economics; Actuarial science; Environmental health; Medicine; Statistics; Microeconomics; Mathematics","score_opus":0.09195392238064207,"score_gpt":0.23786079428937162,"score_spread":0.14590687190872956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396021487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868179,0.0023585064,0.00010807275,0.0016680118,0.00019205027,0.00011342858,0.002439512,0.0000033274812,0.006299172],"genre_scores_gemma":[0.99483,0.002849821,0.0009093567,0.00061796996,0.0002144641,0.0000020940479,0.000050936767,0.000016869692,0.00050847617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980979,0.000025836167,0.0012451095,0.00037384412,0.000036482965,0.00022083856],"domain_scores_gemma":[0.99815017,0.000067631736,0.0013012347,0.00031531282,0.000002417823,0.00016322375],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007022537,0.00020864932,0.0010553788,0.0002348775,0.000055450226,0.00008562024,0.0002069042,0.00011558207,0.0019177108],"category_scores_gemma":[0.000020062771,0.00022067023,0.0008246303,0.00008940868,0.0000669232,0.00045797092,0.00011632069,0.00013617935,0.00052755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030392592,0.00046313464,0.7186534,0.000012518185,0.10872988,0.000010294202,0.0010235892,0.042625763,0.00020127048,0.12580211,0.00038028855,0.0017938495],"study_design_scores_gemma":[0.002066288,0.00017664001,0.94017994,0.0000017983579,0.007780035,0.00002306543,0.00018722452,0.004448188,0.000043946995,0.03131623,0.013364927,0.00041171076],"about_ca_topic_score_codex":0.0007972248,"about_ca_topic_score_gemma":0.00002993916,"teacher_disagreement_score":0.22152658,"about_ca_system_score_codex":0.00046119076,"about_ca_system_score_gemma":0.000018500605,"threshold_uncertainty_score":0.99899465},"labels":[],"label_agreement":null},{"id":"W2396962607","doi":"10.5539/enrr.v6n2p128","title":"Valuing Urban Tropical River Recreation Attributes Using Choice Experiments","year":2016,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recreation; Crowds; CLARITY; Valuation (finance); Enforcement; Business; Environmental planning; Contingent valuation; Willingness to pay; Quality (philosophy); Recreational use; Water quality; Environmental economics; Environmental resource management; Natural resource economics; Water resource management; Environmental science; Economics; Computer science; Ecology","score_opus":0.20020044433335893,"score_gpt":0.3058500060890178,"score_spread":0.10564956175565887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396962607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924127,0.005810464,0.00038447254,0.00043423078,0.000077911194,0.0002137454,0.000018149356,0.00001293446,0.00063539285],"genre_scores_gemma":[0.99362814,0.0012381459,0.00064757984,0.00003198581,0.00019919856,0.000020115767,0.000008975452,0.000019954212,0.0042058714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985775,0.00007875486,0.00032978752,0.00048363674,0.0001375031,0.00039282144],"domain_scores_gemma":[0.9993495,0.00020876096,0.00010474562,0.00021603469,0.0000049647774,0.00011600271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059173506,0.0001350886,0.00020116648,0.0001779959,0.000288425,0.000055368237,0.0001537551,0.000101165126,0.00086867507],"category_scores_gemma":[0.00011505711,0.00011239442,0.000056705816,0.000070057955,0.0003194012,0.00033370472,0.00019805269,0.00018115237,0.0005520904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003165151,0.00004481989,0.9852203,0.0000059217105,0.000031011525,0.0000012032447,0.0005360522,0.0000151408585,0.0077759684,0.0017007819,0.00027657204,0.004360546],"study_design_scores_gemma":[0.00080751395,0.00008763677,0.94471246,0.000025745556,0.000003844488,0.0000017337852,0.00009131568,0.0013443071,0.0017164306,0.0015107265,0.049500033,0.00019825505],"about_ca_topic_score_codex":0.00010384545,"about_ca_topic_score_gemma":0.000001377386,"teacher_disagreement_score":0.04922346,"about_ca_system_score_codex":0.00047622627,"about_ca_system_score_gemma":0.0000032235334,"threshold_uncertainty_score":0.95113826},"labels":[],"label_agreement":null},{"id":"W2402518329","doi":"10.1142/s0217590816400142","title":"REFERENCE DEPENDENCE AND OTHER BEHAVIORAL FINDINGS: THE LIKELIHOOD OF SERIOUS EVALUATION AND POLICY BIASES","year":2016,"lang":"en","type":"article","venue":"The Singapore Economic Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Presumption; Economics; Equivalence (formal languages); Public economics; Welfare; Econometrics; Actuarial science; Political science","score_opus":0.1923492681251566,"score_gpt":0.3194413345909119,"score_spread":0.1270920664657553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402518329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94588554,0.04769901,0.000026423451,0.0032004833,0.00007533864,0.00055997365,0.0001047907,0.000007832145,0.002440612],"genre_scores_gemma":[0.95849895,0.040511396,0.000047131296,0.00069395103,0.00005159022,0.00004880996,0.0000041444478,0.000015186836,0.00012882706],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988816,0.000060375227,0.0005799865,0.0002889553,0.000028472257,0.00016061161],"domain_scores_gemma":[0.9990133,0.0001344664,0.0004404515,0.00036330603,0.000008153359,0.000040328432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019981172,0.00013314036,0.0003230421,0.000049876613,0.00011336632,0.000029970499,0.0001945405,0.000046380683,0.0005809222],"category_scores_gemma":[0.00012116942,0.00007989356,0.000054164666,0.00004106102,0.00022767324,0.0002044361,0.00009063764,0.00006193113,0.00019842287],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026568838,0.000096186246,0.35227716,0.0004199459,0.00015162127,5.410053e-7,0.00095821073,0.000027024134,0.00036174478,0.12479518,0.0017075868,0.5191782],"study_design_scores_gemma":[0.0023717377,0.00041878005,0.8047608,0.0031030779,0.00036182752,0.00012992938,0.0003282914,0.0013061189,0.0005758703,0.113989495,0.071585834,0.0010682484],"about_ca_topic_score_codex":0.0005152827,"about_ca_topic_score_gemma":0.00008351269,"teacher_disagreement_score":0.51811,"about_ca_system_score_codex":0.00015301724,"about_ca_system_score_gemma":0.00003569804,"threshold_uncertainty_score":0.63606906},"labels":[],"label_agreement":null},{"id":"W2408418438","doi":"10.1016/j.jval.2016.03.1872","title":"INVESTIGATING STRUCTURAL INDEPENDENCE IN PREFERENCE-BASED UTILITY INSTRUMENTS USING GRAPHICAL MODELS","year":2016,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Public Health; University Health Network; University of Toronto","funders":"","keywords":"Conditional independence; Independence (probability theory); Graphical model; Computer science; Multivariate statistics; Function (biology); Data mining; Preference; Bayesian probability; Bayesian network; Bayesian information criterion; Econometrics; Artificial intelligence; Machine learning; Statistics; Mathematics","score_opus":0.3769133944637185,"score_gpt":0.27740152763244696,"score_spread":0.09951186683127156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408418438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963318,0.00017897307,0.0023065142,0.00046178582,0.00014513888,0.00026290864,0.00004102372,0.000012239266,0.0002596254],"genre_scores_gemma":[0.9971054,0.00004874427,0.002545789,0.000248869,0.000016821856,0.000013012919,0.0000044157864,0.000011687582,0.000005259267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982362,0.00008671532,0.0008589418,0.00042314464,0.000054546952,0.00034046057],"domain_scores_gemma":[0.99931353,0.000048036643,0.00032043867,0.00021093144,0.000004136416,0.00010293638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012278578,0.00012257742,0.00028661595,0.00023229183,0.0000623039,0.000016748407,0.00014723904,0.0001106271,0.00008632957],"category_scores_gemma":[0.00007648793,0.000121045756,0.00003621609,0.00017496292,0.000085616164,0.00041870287,0.000036289955,0.00017547526,0.000024284544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004490616,0.000020122485,0.95449924,0.000030117244,0.0000018580521,2.0674749e-7,0.00017009785,0.02333712,0.000012265821,0.020151438,6.1316246e-7,0.0017724249],"study_design_scores_gemma":[0.00053376966,0.000022086144,0.49953845,0.00010050666,2.4405668e-7,4.6980898e-7,0.000015312711,0.37393385,0.000018845622,0.12574789,0.0000028780698,0.0000856795],"about_ca_topic_score_codex":0.010642532,"about_ca_topic_score_gemma":0.00022157608,"teacher_disagreement_score":0.4549608,"about_ca_system_score_codex":0.00069912197,"about_ca_system_score_gemma":0.00010267287,"threshold_uncertainty_score":0.9959457},"labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"grok","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"opus","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W2412618274","doi":"10.1007/s10640-016-0039-x","title":"As Time Goes By: Examination of Temporal Stability Across Stated Preference Question Formats","year":2016,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Brock University","funders":"Canadian Water Network","keywords":"Willingness to pay; Respondent; Nonmarket forces; Context (archaeology); Preference; Econometrics; Stability (learning theory); Quality (philosophy); Contingent valuation; Revealed preference; Economics; Preference elicitation; Value (mathematics); Consumption (sociology); Statistics; Computer science; Microeconomics; Mathematics; Geography","score_opus":0.03670738647177645,"score_gpt":0.18729221384501468,"score_spread":0.15058482737323822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412618274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99509877,0.00031235,0.00019120492,0.00016055339,0.000045624172,0.00021930372,0.001036662,0.000017956596,0.0029175715],"genre_scores_gemma":[0.99691266,0.0007624434,0.000105838255,0.000060531573,0.000022419013,0.000017003274,0.00018224269,0.000021088032,0.0019157522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986774,0.000035535468,0.000621148,0.00041002972,0.00002828917,0.0002276458],"domain_scores_gemma":[0.9991924,0.00005212211,0.0004354131,0.00022579676,0.0000016634147,0.00009258262],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00068374694,0.00017085568,0.000290741,0.00004204245,0.00010009194,0.000024742487,0.00011932305,0.00012997202,0.0011808777],"category_scores_gemma":[0.0000147975325,0.00016008446,0.000057084635,0.000017950884,0.00028189726,0.00047148144,0.000117428324,0.000065642394,0.0007454241],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121214776,0.00043505017,0.9296916,0.000045773842,0.00009940346,4.9649555e-7,0.0027008639,0.00006806459,0.012674898,0.0038251507,0.00032909177,0.05000841],"study_design_scores_gemma":[0.0017375004,0.00033604103,0.95868194,0.000024477822,0.000009595723,0.0000068893614,0.0009090783,0.0012619295,0.014290403,0.0054482794,0.016780784,0.00051310164],"about_ca_topic_score_codex":0.00006363304,"about_ca_topic_score_gemma":0.000005950996,"teacher_disagreement_score":0.049495306,"about_ca_system_score_codex":0.00029725977,"about_ca_system_score_gemma":0.000004024383,"threshold_uncertainty_score":0.9997322},"labels":[],"label_agreement":null},{"id":"W2412858206","doi":"10.1177/135581960000500104","title":"Who Answers ‘Willingness to Pay’ Questions?","year":2000,"lang":"en","type":"article","venue":"Journal of Health Services Research & Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Health and Health Services Research Fund","keywords":"Willingness to pay; Confidence interval; Logistic regression; Medicine; Demography; Economics; Internal medicine","score_opus":0.14563431887682124,"score_gpt":0.3870787442823983,"score_spread":0.24144442540557706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412858206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9608748,0.0026316186,0.00018050628,0.029001502,0.00014741748,0.00025999208,0.000040452313,0.0000083405275,0.0068553668],"genre_scores_gemma":[0.9857813,0.006315922,0.0005973186,0.0043054107,0.00060922815,0.000009140308,0.0000047179,0.000022480479,0.0023544456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978567,0.00012523135,0.0011131384,0.00021330659,0.00014334363,0.0005482769],"domain_scores_gemma":[0.9988193,0.00007077274,0.00039071921,0.0002448651,0.00007376832,0.0004005856],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0043014274,0.00010488985,0.00040416987,0.00062152557,0.00028726703,0.00009600883,0.00040171493,0.00006716433,0.0014578435],"category_scores_gemma":[0.000037492904,0.00009923683,0.00009126441,0.0005009073,0.00004934415,0.000457029,0.00004550195,0.00037843658,0.0015037674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003180865,0.00074163463,0.5656058,0.00071477256,0.00018795824,0.00001690212,0.026859412,0.012575592,0.000036418056,0.047692038,0.011464767,0.3337866],"study_design_scores_gemma":[0.0006430413,0.0006495463,0.6770589,0.00020915808,0.0000016192098,0.000022246712,0.00092200923,0.0010187512,0.000017247266,0.021688806,0.29759726,0.00017146821],"about_ca_topic_score_codex":0.006563224,"about_ca_topic_score_gemma":0.00012379023,"teacher_disagreement_score":0.33361515,"about_ca_system_score_codex":0.0008747371,"about_ca_system_score_gemma":0.00022359032,"threshold_uncertainty_score":0.999455},"labels":[],"label_agreement":null},{"id":"W2412873720","doi":"10.1017/bca.2015.4","title":"The Curiously Continuing Saga of Choosing the Measure of Welfare Changes","year":2015,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Willingness to accept; Compensation (psychology); Value (mathematics); Valuation (finance); Welfare; Contingent valuation; Willingness to pay; Measure (data warehouse); Estimation; Public economics; Microeconomics; Econometrics; Actuarial science; Statistics; Psychology; Social psychology; Computer science; Mathematics; Accounting","score_opus":0.08825541393482839,"score_gpt":0.22803332309506436,"score_spread":0.13977790916023597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412873720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870808,0.008293465,0.0006771649,0.002569687,0.00018779385,0.00008210934,0.000034921537,0.0000018494713,0.0010722012],"genre_scores_gemma":[0.99886644,0.00075358315,0.00013877227,0.000034948047,0.00009241634,0.000002186851,0.0000037006596,0.000009917098,0.000098014876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986778,0.000029377103,0.0009248306,0.00011422436,0.000110209476,0.00014354227],"domain_scores_gemma":[0.99740976,0.00007986951,0.0020752985,0.00026279982,0.0001080055,0.000064239815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023732337,0.00010118098,0.0005275341,0.00024414342,0.00009825107,0.000041102754,0.00032160417,0.00005541216,0.000074145806],"category_scores_gemma":[0.00015103965,0.000069874615,0.00037369423,0.00036643018,0.00007978576,0.00015822604,0.000041713247,0.00013423075,0.0000091567135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009564517,0.0001082731,0.9284526,0.000016048087,0.0027919973,0.0000017865665,0.0037885339,0.027933437,0.00022960706,0.010938714,0.00038499138,0.025258379],"study_design_scores_gemma":[0.0017811834,0.0002797099,0.9544761,0.0000823732,0.0015127168,0.00001790983,0.0067784144,0.008099078,0.0016297727,0.0072135804,0.017789135,0.00033998358],"about_ca_topic_score_codex":0.00016661255,"about_ca_topic_score_gemma":0.00031260087,"teacher_disagreement_score":0.026023557,"about_ca_system_score_codex":0.00011845918,"about_ca_system_score_gemma":0.000010288967,"threshold_uncertainty_score":0.28494042},"labels":[],"label_agreement":null},{"id":"W2418388587","doi":"10.1007/s00267-016-0716-0","title":"Non-use Economic Values for Little-Known Aquatic Species at Risk: Comparing Choice Experiment Results from Surveys Focused on Species, Guilds, and Ecosystems","year":2016,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Government of Canada","keywords":"Guild; Willingness to pay; Wetland; Ecosystem; Aquatic ecosystem; Ecosystem services; Ecology; Biodiversity; Listing (finance); Geography; Environmental resource management; Biology; Environmental science; Business; Habitat; Economics","score_opus":0.07947981712796064,"score_gpt":0.2091371048176997,"score_spread":0.12965728768973905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418388587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806514,0.00031108598,0.0022501322,0.00031650232,0.00056350493,0.0011617773,0.0024439062,0.000032802764,0.012268896],"genre_scores_gemma":[0.96991104,0.0014138861,0.0008170695,0.0000552442,0.0002477797,0.0001819957,0.00042528697,0.00005969562,0.026887996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99736893,0.00006695859,0.00100296,0.0010537165,0.000094578034,0.00041286062],"domain_scores_gemma":[0.9981454,0.00036859137,0.00063841173,0.0007074654,0.0000011006381,0.00013900682],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001136792,0.00037007456,0.0005413366,0.0001437435,0.00028049405,0.00012906498,0.00027350863,0.000090202804,0.0008235107],"category_scores_gemma":[0.000033699704,0.00036249874,0.00014612419,0.000021186926,0.00012205205,0.00037708593,0.0003799612,0.00006909949,0.002445566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017138496,0.00027332877,0.9820213,0.000021940548,0.0004088424,0.000002128427,0.00049596693,0.00072439417,0.00035174537,0.0032287426,0.009732651,0.0025676198],"study_design_scores_gemma":[0.0049927733,0.00019118669,0.9195488,0.00004993276,0.00003686347,3.5127763e-7,0.00022571781,0.0050408556,0.0014355286,0.0011846272,0.06677068,0.00052266713],"about_ca_topic_score_codex":0.0008732798,"about_ca_topic_score_gemma":0.00022878428,"teacher_disagreement_score":0.062472444,"about_ca_system_score_codex":0.0021135707,"about_ca_system_score_gemma":0.00000220356,"threshold_uncertainty_score":0.9998827},"labels":[],"label_agreement":null},{"id":"W2418704167","doi":"10.5539/jsd.v9n3p23","title":"Farm Bill 2014: An Experimental Investigation of Conservation Compliance","year":2016,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subsidy; Incentive; Legislature; Crowding out; Public economics; Economics; Business; Compliance (psychology); Microeconomics; Environmental economics; Political science; Monetary economics; Psychology; Social psychology; Market economy","score_opus":0.10807404887848109,"score_gpt":0.236382283914076,"score_spread":0.1283082350355949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418704167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578017,0.00039735032,0.0023981743,0.0007466928,0.00013174863,0.00012295126,0.0000036030733,0.000004167342,0.00041513098],"genre_scores_gemma":[0.9944277,0.000072842195,0.004082163,0.00014319818,0.00003633371,0.0000071808595,0.000004404957,0.0000107462665,0.0012154375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987453,0.000017027372,0.00088236865,0.00013661504,0.000056165452,0.00016252002],"domain_scores_gemma":[0.9987203,0.000024289384,0.0009857267,0.00010834855,0.00008280073,0.000078536665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008576438,0.00009131468,0.00024075409,0.00018959864,0.000063602536,0.000017340793,0.0001332622,0.00004819581,0.0002547899],"category_scores_gemma":[0.000034480123,0.0000715051,0.00004386306,0.000064893655,0.00006721986,0.0006205522,0.00003474602,0.000044053522,0.00006645117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008293363,0.00021013664,0.93825954,0.00006544837,0.00007981252,0.000010822438,0.004314015,0.0001225697,0.008363153,0.044448763,0.0015131854,0.0025296248],"study_design_scores_gemma":[0.0013586219,0.0002470843,0.928216,0.000058647656,0.000004172368,0.000012801616,0.004273001,0.00008673717,0.03972602,0.012442757,0.013372422,0.0002017302],"about_ca_topic_score_codex":0.000046263627,"about_ca_topic_score_gemma":0.000002160556,"teacher_disagreement_score":0.032006007,"about_ca_system_score_codex":0.00063395815,"about_ca_system_score_gemma":0.000092157374,"threshold_uncertainty_score":0.29158935},"labels":[],"label_agreement":null},{"id":"W2432609838","doi":"10.18438/b8rh0r","title":"Patron Time-Use May Be an Effective Metric for Presenting Library Value to Policy Makers","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metric (unit); Loan; Computer science; Statistics; Operations management; Mathematics; Business; Engineering; Finance","score_opus":0.040823840289476734,"score_gpt":0.24905077755510285,"score_spread":0.20822693726562613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2432609838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.588053,0.00087835285,0.0708876,0.31086397,0.00054496276,0.0048381034,0.0012076845,0.00044178337,0.022284582],"genre_scores_gemma":[0.8934707,0.0010995091,0.028026998,0.073045075,0.00031318297,0.00035910174,0.00023506927,0.00005031004,0.0034000261],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987929,0.00009600683,0.00055276224,0.0002746086,0.00005034478,0.00023337992],"domain_scores_gemma":[0.9969083,0.0021467078,0.0004986776,0.00026644152,0.000009358915,0.00017053576],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006652233,0.00015227932,0.00019487666,0.0006432072,0.00015690952,0.00044316717,0.00016786727,0.00008878528,0.00047995092],"category_scores_gemma":[0.002147772,0.00014279505,0.00006217296,0.0004115777,0.00003734569,0.23580989,0.000104980754,0.00007305931,0.0005345317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081269635,0.0001154273,0.10252962,0.0001398864,0.00007687006,8.507566e-7,0.00052056194,0.0015321111,0.00010328245,0.84051526,0.009287839,0.044365574],"study_design_scores_gemma":[0.0011265012,0.0005461213,0.22124922,0.00011305798,0.000024755698,0.0000048126954,0.00015502899,0.012356526,0.0021138785,0.0023926143,0.7594899,0.00042757211],"about_ca_topic_score_codex":0.00002278531,"about_ca_topic_score_gemma":2.0369203e-8,"teacher_disagreement_score":0.83812267,"about_ca_system_score_codex":0.00005197175,"about_ca_system_score_gemma":0.000045846667,"threshold_uncertainty_score":0.77487844},"labels":[],"label_agreement":null},{"id":"W2444102461","doi":"10.1080/00048402.2016.1182196","title":"The Relatively Infinite Value of the Environment","year":2016,"lang":"en","type":"article","venue":"Australasian Journal of Philosophy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Infinity; Value (mathematics); Obligation; Skepticism; Mathematical economics; Absolute (philosophy); Intrinsic value (animal ethics); Expected value; Expected utility hypothesis; Outcome (game theory); Value of life; Relative value; Epistemology; Economics; Computer science; Microeconomics; Mathematics; Philosophy; Law; Environmental ethics; Political science; Statistics","score_opus":0.06397755741865334,"score_gpt":0.2065247715214642,"score_spread":0.14254721410281085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2444102461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96629554,0.0005448174,0.00084048946,0.017253397,0.0004938039,0.00012998919,0.000040536746,0.0000022640322,0.014399176],"genre_scores_gemma":[0.9986051,0.00032119837,0.00020283241,0.0000650388,0.00012589304,0.0000016643738,1.9438156e-7,0.00001065994,0.00066745235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99891293,0.00003521621,0.00075834244,0.00010450071,0.000057955236,0.00013103725],"domain_scores_gemma":[0.9984785,0.00009981082,0.0011299583,0.00023391466,0.000007652698,0.00005018178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006333629,0.000091802525,0.00019248697,0.000051144947,0.00009829746,0.000011334187,0.0003286043,0.00005085375,0.00022813794],"category_scores_gemma":[0.000059760867,0.000049289454,0.0002031879,0.000046956557,0.00024434205,0.00021480079,0.00004738859,0.00012622874,0.0002071645],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021300186,0.000060877308,0.44293362,0.0000054248735,0.00013688195,0.0000011791068,0.0002846386,0.00039329779,0.00045516033,0.55327857,0.00037955944,0.0020495155],"study_design_scores_gemma":[0.00061748526,0.00014545626,0.6152939,0.00004421774,0.000013046986,0.0000112868265,0.000037773978,0.000013319521,0.0007946297,0.37292066,0.010022348,0.00008583454],"about_ca_topic_score_codex":0.0000023388739,"about_ca_topic_score_gemma":2.2766969e-7,"teacher_disagreement_score":0.18035786,"about_ca_system_score_codex":0.000117421296,"about_ca_system_score_gemma":0.0000116404235,"threshold_uncertainty_score":0.26627496},"labels":[],"label_agreement":null},{"id":"W2461904862","doi":"","title":"Engaging the public in healthcare decision making: Should the Emergency Department Treat Everyone who Presents for Treatment?:Citizens' Jury on Emergency Care Services","year":2012,"lang":"en","type":"book","venue":"UEA Digital Repository (University of East Anglia)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Jury; Health care; Excellence; Public relations; Population; Public health; Commission; Political science; Medicine; Nursing; Law","score_opus":0.08667025359055004,"score_gpt":0.2345747645981719,"score_spread":0.14790451100762186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461904862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69853085,0.028224954,0.00023969395,0.00094805635,0.0021376715,0.0028504673,0.0033117898,0.00006280843,0.26369372],"genre_scores_gemma":[0.8822011,0.00088656094,0.000021861133,0.000025131545,0.00019396169,0.000013611647,0.00040603385,0.000043442225,0.1162083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984107,0.00003258397,0.000523074,0.0005487095,0.00012199052,0.0003629369],"domain_scores_gemma":[0.9984488,0.00008181249,0.00074059766,0.0005846139,0.00004473825,0.000099460805],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014829604,0.00033258184,0.00050025975,0.00018788553,0.0005150175,0.000059123908,0.00049128116,0.00023522753,0.00011844635],"category_scores_gemma":[0.000009883286,0.00031236492,0.0004194902,0.00009283195,0.00008075062,0.0005956629,0.00017217024,0.00015629762,0.000107995525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004935687,0.00062415586,0.9133998,0.0006532351,0.0006114231,0.000027319444,0.009162842,0.0002369895,0.0000024143683,0.010807538,0.019809803,0.044170897],"study_design_scores_gemma":[0.003990575,0.0016250229,0.6016795,0.0008668551,0.00034786665,0.00002462477,0.017229905,0.0014062386,0.000013542992,0.01783545,0.35298526,0.0019951365],"about_ca_topic_score_codex":0.00017008885,"about_ca_topic_score_gemma":0.00041460132,"teacher_disagreement_score":0.33317548,"about_ca_system_score_codex":0.0011996255,"about_ca_system_score_gemma":0.000052086554,"threshold_uncertainty_score":0.9999328},"labels":[],"label_agreement":null},{"id":"W2465076690","doi":"","title":"Modeling and estimation methods for household size in the presence of nonignorable nonresponse applied to the Norwegian consumer expenditure survey","year":2005,"lang":"en","type":"preprint","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Norwegian; Consumer Expenditure Survey; Permission; Official statistics; Government (linguistics); Estimation; Zhàng; Reproduction; Econometrics; Statistics; Economics; Public economics; Political science; Law; Mathematics; China","score_opus":0.1607358152318321,"score_gpt":0.3058147051698868,"score_spread":0.14507888993805468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465076690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6404218,0.0020303465,0.34894043,0.0011829529,0.00047973718,0.0035849072,0.0021851582,0.000022723838,0.0011519211],"genre_scores_gemma":[0.96058095,0.0006919465,0.03647589,0.0004995031,0.00012918019,0.0009350127,0.00022309847,0.00007095113,0.00039348978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967304,0.00040902008,0.0013239603,0.0009810963,0.00010112383,0.00045442564],"domain_scores_gemma":[0.99590325,0.0021743013,0.0006749299,0.0011220755,0.000027977723,0.00009745437],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008882889,0.00044229132,0.00086370273,0.00038809722,0.0002422906,0.00022000508,0.00090113253,0.0004133792,0.00013021659],"category_scores_gemma":[0.0008562415,0.00038504653,0.00016739775,0.00028725818,0.0001116869,0.000211691,0.00046099976,0.00053084554,0.00008941857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035693357,0.00022265744,0.008427635,0.0002774524,0.00012689327,0.0000010386317,0.005904065,0.9678199,0.00022454745,0.00354333,0.001439713,0.011655783],"study_design_scores_gemma":[0.0020050162,0.00012604514,0.23659836,0.00016884482,0.00008184831,0.000008835141,0.00094216375,0.74186355,0.00020585039,0.013165411,0.0036045536,0.0012295366],"about_ca_topic_score_codex":0.0012172743,"about_ca_topic_score_gemma":0.00067711313,"teacher_disagreement_score":0.3201591,"about_ca_system_score_codex":0.00024165829,"about_ca_system_score_gemma":0.000059365113,"threshold_uncertainty_score":0.99986017},"labels":[],"label_agreement":null},{"id":"W2466225881","doi":"10.1111/cjag.12105","title":"Radio Messaging Frequency, Information Framing, and Consumer Willingness to Pay for Biofortified Iron Beans: Evidence from Revealed Preference Elicitation in Rural Rwanda","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Variety (cybernetics); Biofortification; Framing (construction); Preference; Preference elicitation; Price premium; Marketing; Business; Economics; Agricultural economics; Geography; Medicine; Micronutrient; Microeconomics","score_opus":0.06745436009364794,"score_gpt":0.18157584000703278,"score_spread":0.11412147991338484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466225881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99258316,0.00081664993,0.0008853134,0.0034311838,0.00079734914,0.0005711994,0.00074885954,0.0000063241514,0.00015996401],"genre_scores_gemma":[0.99747294,0.0006610274,0.0010557846,0.0003016412,0.0001925403,0.000056492823,0.00007213142,0.000019674797,0.00016778866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974089,0.000025070873,0.0015991174,0.00036915005,0.000010070991,0.0005876491],"domain_scores_gemma":[0.99758005,0.00027333875,0.0011094034,0.00020847996,0.00007365024,0.0007550862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006577065,0.0002846378,0.0006667454,0.00041509626,0.0001721168,0.0001847532,0.0003416582,0.00017117978,0.0001854285],"category_scores_gemma":[0.00036386613,0.00023525048,0.00013258797,0.000093855815,0.00008888678,0.0026497792,0.000022643893,0.00015965318,0.00007917893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000922474,0.000013010293,0.9593658,0.00007027894,0.00012701696,0.00000437982,0.0048010997,0.00209005,0.00039324432,0.019688057,0.00060964527,0.012745201],"study_design_scores_gemma":[0.0013387158,0.00021204389,0.98111194,0.0003759111,0.000026674663,0.000027210875,0.0012892555,0.00027881187,0.00011082969,0.011642127,0.00307563,0.00051086134],"about_ca_topic_score_codex":0.04309817,"about_ca_topic_score_gemma":0.3153307,"teacher_disagreement_score":0.27223253,"about_ca_system_score_codex":0.0025202185,"about_ca_system_score_gemma":0.00018845646,"threshold_uncertainty_score":0.96327394},"labels":[],"label_agreement":null},{"id":"W2466243444","doi":"10.1016/j.jenvman.2016.06.020","title":"Spatially explicit integrated modeling and economic valuation of climate driven land use change and its indirect effects","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Natural Environment Research Council; European Commission","keywords":"Climate change; Recreation; Environmental science; Land use, land-use change and forestry; Land use; Agriculture; Agricultural land; Environmental resource management; Natural resource economics; Ecosystem services; Ecosystem; Water resource management; Geography; Ecology; Economics","score_opus":0.08862969708091348,"score_gpt":0.20567913843720143,"score_spread":0.11704944135628795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466243444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642897,0.0008750817,0.0019558247,0.000104656494,0.00013417251,0.0002821992,0.00006518791,0.0000031629224,0.00015076408],"genre_scores_gemma":[0.9847192,0.01446899,0.0006359915,0.000047726408,0.000042434396,0.000012173786,0.000005103541,0.000016257685,0.000052089563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901915,0.000024141256,0.00058080774,0.00019674345,0.000043026615,0.00013615338],"domain_scores_gemma":[0.9992396,0.000040807397,0.0005607036,0.0000948191,0.0000020111374,0.00006205569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004379741,0.00012716156,0.00030109592,0.0001871428,0.00003934318,0.00002325941,0.00007346499,0.00004706643,0.0001073026],"category_scores_gemma":[0.000008591518,0.00011142999,0.000054258253,0.000016969607,0.00002771533,0.00064174726,0.00010814421,0.000048355505,0.000044165667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008940685,0.0001316799,0.96523225,0.00010116961,0.0002618384,0.000006567511,0.00042150676,0.0016849687,0.0016761125,0.0046966593,0.000008693913,0.025689157],"study_design_scores_gemma":[0.0023284422,0.00034505836,0.9580652,0.00015601922,0.00007464026,0.0000106191765,0.00008778692,0.03631814,0.00059530593,0.0015596031,0.00023320642,0.00022594897],"about_ca_topic_score_codex":0.000021816113,"about_ca_topic_score_gemma":0.000007222742,"teacher_disagreement_score":0.03463317,"about_ca_system_score_codex":0.00024232976,"about_ca_system_score_gemma":0.0000017134818,"threshold_uncertainty_score":0.4543983},"labels":[],"label_agreement":null},{"id":"W2467413059","doi":"10.5539/sar.v5n3p124","title":"Understanding the Trade-Offs Between Environmental Service Provision through Improved Fallows and Private Welfare Using Stated Preference Approach: A Case Study in Chongwe - Zambia","year":2016,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Pretoria","keywords":"Willingness to pay; Welfare; Business; Productivity; Agricultural science; Contingent valuation; Per capita; Agricultural economics; Farm income; Soil fertility; Economics; Production (economics); Environmental science; Economic growth; Soil water; Population","score_opus":0.3249235849409548,"score_gpt":0.2957501678156795,"score_spread":0.029173417125275325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467413059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99409163,0.00026919125,0.001455467,0.001135992,0.000019301566,0.0023997521,0.00006038572,0.000018307788,0.0005499546],"genre_scores_gemma":[0.9990167,0.00012705695,0.00014520975,0.000019914278,0.00004962966,0.00013198331,0.000025089408,0.00002611313,0.00045831947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976353,0.00021732683,0.0005265649,0.00073334115,0.0001356367,0.0007518492],"domain_scores_gemma":[0.9992455,0.000121255,0.00018236104,0.00033680975,0.0000138495125,0.000100211575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019109922,0.00022952969,0.00032744158,0.00015680245,0.0007629554,0.00018431945,0.0002792964,0.00015413514,0.000057133762],"category_scores_gemma":[0.00004834389,0.00014414985,0.00004147795,0.000492316,0.00015015561,0.0008395597,0.00040962634,0.00040982498,0.0000134809725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007709023,0.00069357903,0.96564734,0.00022715994,0.00014618438,0.00024093971,0.020127494,0.00032749755,0.0011236084,0.010392599,0.000078984594,0.0009175038],"study_design_scores_gemma":[0.0037713947,0.00051408325,0.6391064,0.00004823086,0.000026882333,0.00012036109,0.340478,0.0029785438,0.0000921839,0.010664085,0.0015622369,0.00063764164],"about_ca_topic_score_codex":0.0041834796,"about_ca_topic_score_gemma":0.00029070934,"teacher_disagreement_score":0.326541,"about_ca_system_score_codex":0.0018999325,"about_ca_system_score_gemma":0.000024311581,"threshold_uncertainty_score":0.63241976},"labels":[],"label_agreement":null},{"id":"W2469725557","doi":"10.1007/s00267-016-0720-4","title":"Farmers’ Preferences for Future Agricultural Land Use Under the Consideration of Climate Change","year":2016,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Klima- und Energiefonds","keywords":"Climate change; Incentive; Agriculture; Natural resource economics; Cash crop; Ecosystem services; Land use, land-use change and forestry; Business; Land use; Tourism; Environmental resource management; Agroforestry; Geography; Economics; Ecosystem; Ecology; Environmental science","score_opus":0.0932347708029075,"score_gpt":0.19980013516728845,"score_spread":0.10656536436438095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469725557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99432164,0.00031879757,0.0010300522,0.0013958539,0.00025882522,0.0007226145,0.0002944599,0.000009132487,0.0016486273],"genre_scores_gemma":[0.9956079,0.0028544292,0.00037266692,0.00025555652,0.00010051937,0.00018201122,0.000048644222,0.000009832477,0.0005684389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992805,0.000011502371,0.00028689584,0.0002314494,0.000032667493,0.00015697895],"domain_scores_gemma":[0.9995714,0.00003665281,0.00020810725,0.00015945098,8.8870416e-7,0.000023521177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017016052,0.00010647672,0.0001335878,0.000032088832,0.00009654191,0.000024571233,0.00009136538,0.000037396436,0.0004089863],"category_scores_gemma":[0.0000015271465,0.000067057896,0.00006873208,0.00001877556,0.00007139526,0.00031194303,0.00007320878,0.000023089657,0.00019518436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033672673,0.00014987869,0.84815115,0.000038573773,0.00016267125,3.1361301e-7,0.00049207674,0.000094186056,0.00022077744,0.1322588,0.00048111714,0.017916808],"study_design_scores_gemma":[0.0005990851,0.00005626783,0.9886147,0.000010152412,0.000016633432,5.5700633e-7,0.001183206,0.000029892279,0.0001126129,0.0038811064,0.0053749806,0.000120846074],"about_ca_topic_score_codex":0.000013623583,"about_ca_topic_score_gemma":0.000008439602,"teacher_disagreement_score":0.14046355,"about_ca_system_score_codex":0.000107216445,"about_ca_system_score_gemma":4.2362015e-7,"threshold_uncertainty_score":0.4478113},"labels":[],"label_agreement":null},{"id":"W2471141117","doi":"10.1016/j.jenvman.2016.06.038","title":"Accounting for substitution and spatial heterogeneity in a labelled choice experiment","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fonds Wetenschappelijk Onderzoek; Vrije Universiteit Amsterdam","keywords":"Transferability; Substitution (logic); Econometrics; Spatial heterogeneity; Valuation (finance); Spatial variability; Cluster analysis; Economics; Computer science; Statistics; Mathematics; Ecology; Accounting; Logit","score_opus":0.04967154384679741,"score_gpt":0.22155787764417842,"score_spread":0.171886333797381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471141117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98765343,0.0008128397,0.010517923,0.0002342866,0.00018237202,0.00025210317,0.000020086252,0.0000021246394,0.00032481708],"genre_scores_gemma":[0.9978616,0.00077782164,0.0010279348,0.00007410574,0.000069001064,0.000020963893,0.0000018626002,0.00001016156,0.00015655362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990901,0.00000889531,0.00054162653,0.00017869903,0.000038402082,0.00014231232],"domain_scores_gemma":[0.9994552,0.000029288325,0.00038368235,0.00008982103,0.0000010837704,0.000040902018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004622216,0.000094404764,0.0001953118,0.00012460456,0.000041834977,0.000016907436,0.00008210488,0.000034098804,0.0001627623],"category_scores_gemma":[0.000009740609,0.00008488984,0.00006440422,0.000017829194,0.000043620155,0.0002707736,0.00006563683,0.000033849745,0.000037602746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008279472,0.00031190953,0.96652514,0.00002945636,0.0001066419,0.000004788471,0.00013095264,0.00014541349,0.005022328,0.0050281873,0.000058066107,0.02255431],"study_design_scores_gemma":[0.003110277,0.00014171947,0.9857279,0.000034667006,0.000012801533,0.0000046734726,0.000086167,0.00024853964,0.001146438,0.0018846453,0.0074587916,0.00014337535],"about_ca_topic_score_codex":0.000016822607,"about_ca_topic_score_gemma":0.00001135851,"teacher_disagreement_score":0.022410935,"about_ca_system_score_codex":0.00040304704,"about_ca_system_score_gemma":0.000001299061,"threshold_uncertainty_score":0.34617072},"labels":[],"label_agreement":null},{"id":"W2472774279","doi":"10.1016/j.ocecoaman.2016.07.001","title":"Angler and non-angler preferences for non-consumptive value-added products and services associated with charter boat trips","year":2016,"lang":"en","type":"article","venue":"Ocean & Coastal Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Becton Dickinson (Canada)","funders":"National Oceanic and Atmospheric Administration; South Carolina Sea Grant Consortium; Department of Natural Resources","keywords":"Charter; TRIPS architecture; Value (mathematics); Fishery; Business; Agricultural economics; Geography; Economics; Mathematics; Statistics; Engineering; Transport engineering; Biology; Archaeology","score_opus":0.03953699406665484,"score_gpt":0.18851747251196022,"score_spread":0.14898047844530538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472774279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920886,0.00011779065,0.0009648692,0.00047549186,0.000097069,0.00089314743,0.00024325647,0.000020200165,0.005099587],"genre_scores_gemma":[0.99479085,0.00025678377,0.00052414206,0.00017815683,0.000039542185,0.00006175595,0.000052747997,0.000024817713,0.004071216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998866,0.000010294503,0.0002874001,0.00054295064,0.000040239753,0.00025310312],"domain_scores_gemma":[0.9994601,0.000038215363,0.00024521767,0.00017793788,0.000015248009,0.000063297186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003343189,0.00018846698,0.00027389653,0.00010060891,0.00010456383,0.0000725635,0.00009603338,0.000049987335,0.00006953393],"category_scores_gemma":[0.000007445556,0.00015056609,0.000029340987,0.00005877739,0.000112288886,0.0003828836,0.00012592196,0.000036683854,0.000058005167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023331432,0.0003052351,0.96757716,0.00039110077,0.00081564457,0.0000039995534,0.0021147486,0.000014558756,0.00009946682,0.012131524,0.0023948937,0.013918378],"study_design_scores_gemma":[0.0027824363,0.00032142023,0.98899657,0.00012515798,0.000055739227,8.301161e-7,0.00048549307,0.00047774275,0.00016408983,0.0041336967,0.002121974,0.00033486442],"about_ca_topic_score_codex":0.000028290931,"about_ca_topic_score_gemma":0.00004498904,"teacher_disagreement_score":0.021419419,"about_ca_system_score_codex":0.00006307184,"about_ca_system_score_gemma":0.0000037717377,"threshold_uncertainty_score":0.61399066},"labels":[],"label_agreement":null},{"id":"W2473353267","doi":"","title":"Charitable Gifts of Conservation Easements: Lessons from the US Experience in Enhancing the Tax Incentive","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Easement; Incentive; Public economics; Tax deduction; Tax credit; Business; Tax incentive; Economics; Tax reform; Natural resource economics; Finance; State income tax; Political science; Market economy; Gross income; Law","score_opus":0.09692229535901797,"score_gpt":0.23741949659208,"score_spread":0.14049720123306203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473353267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99153954,0.0022443847,0.004073823,0.0007141402,0.00014219375,0.00012438501,0.000019005445,0.0000024410544,0.0011400727],"genre_scores_gemma":[0.99691534,0.0024989953,0.000060337894,0.00025092886,0.000042706688,0.000016776476,0.0000050668827,0.00000781535,0.00020203904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987632,0.00003741292,0.00047887798,0.00015505216,0.00003562603,0.0005298242],"domain_scores_gemma":[0.99932814,0.000048529506,0.00043590082,0.00015951943,0.000009469456,0.000018427843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014500581,0.00008022546,0.00014688763,0.000040877152,0.00014639439,0.000019532563,0.00026824043,0.000037381542,0.00030266892],"category_scores_gemma":[0.00005348047,0.00006278676,0.000051940602,0.00009079798,0.00007678854,0.00031176634,0.000041845895,0.00040580845,0.000059286762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017591117,0.000060492297,0.8212055,9.519573e-7,0.000050773335,2.1582589e-7,0.0048448863,0.000033414126,0.00017010118,0.17278261,0.000022341948,0.00081111304],"study_design_scores_gemma":[0.0005038062,0.000061021812,0.71643925,0.000019310233,0.0000070526903,0.0000033706206,0.008029917,0.0004812257,0.00083049777,0.27312207,0.00040057272,0.00010186766],"about_ca_topic_score_codex":0.0074947057,"about_ca_topic_score_gemma":0.0064957747,"teacher_disagreement_score":0.104766235,"about_ca_system_score_codex":0.00054403715,"about_ca_system_score_gemma":0.00010963586,"threshold_uncertainty_score":0.99911445},"labels":[],"label_agreement":null},{"id":"W2478934190","doi":"10.1007/s11356-016-7267-z","title":"Socioeconomic constraints on the technological choices in rural sewage treatment","year":2016,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Socioeconomic status; Business; Government (linguistics); Socioeconomic development; Natural resource economics; Environmental economics; Work (physics); Environmental planning; Economics; Economic growth; Engineering; Environmental science; Environmental health","score_opus":0.13432953099633893,"score_gpt":0.2915034089515221,"score_spread":0.15717387795518317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478934190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98395944,0.00015700412,0.000012541859,0.006688894,0.000040790685,0.00027059898,0.00005842202,0.000008069586,0.008804237],"genre_scores_gemma":[0.9980333,0.0009014456,0.000013611352,0.0001803187,0.000021890044,0.000059224632,0.0000013285696,0.0000047433628,0.0007841405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988987,0.00004330211,0.00022635212,0.00035789542,0.00009562618,0.00037813777],"domain_scores_gemma":[0.99956965,0.00010223153,0.00006027072,0.00019452123,0.0000013750647,0.00007191975],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024782172,0.00009189746,0.0001166624,0.00020692707,0.00038566018,0.000050731578,0.00022026121,0.00006219964,0.0027183192],"category_scores_gemma":[0.000058509806,0.000057124435,0.000027487778,0.00010730006,0.0037888335,0.0002618002,0.00010697527,0.00010625711,0.002673636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023492143,0.00026163086,0.6523107,0.000001529168,0.000011636226,0.0000024354713,0.00037173292,0.000015434573,0.020739757,0.18502282,0.00016658888,0.14107223],"study_design_scores_gemma":[0.0005256831,0.00019581305,0.9833188,0.000008292266,5.418418e-7,0.0000029307123,0.0008705647,0.00014331125,0.0025026032,0.007573951,0.0047427504,0.0001147433],"about_ca_topic_score_codex":0.00007519584,"about_ca_topic_score_gemma":0.000012544246,"teacher_disagreement_score":0.33100808,"about_ca_system_score_codex":0.0014006019,"about_ca_system_score_gemma":0.000018246761,"threshold_uncertainty_score":0.9989223},"labels":[],"label_agreement":null},{"id":"W2482686130","doi":"","title":"A Poisson mixture model of discrete choice","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Poisson distribution; Econometrics; Discrete choice; Mathematics; Count data; Econometric model; Mathematical optimization; Computer science; Statistics","score_opus":0.1759315663169461,"score_gpt":0.2096757138622188,"score_spread":0.03374414754527272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2482686130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72767955,0.0001625335,0.018934608,0.000080052734,0.00006378046,0.00007817744,0.000045106117,0.000013413829,0.25294277],"genre_scores_gemma":[0.9899697,0.000046682453,0.005422688,0.00013360711,0.000015415511,0.000006452583,0.0000073868546,0.0000100692705,0.004388044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994216,0.0000025775946,0.0002930959,0.00016918223,0.000010810374,0.00010273852],"domain_scores_gemma":[0.99963176,0.000007110044,0.0001501937,0.0001739564,0.0000027846907,0.000034220717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013758388,0.00006651515,0.00015740586,0.000049034563,0.000019793555,0.0000040198,0.00009863912,0.000053319905,0.0019929698],"category_scores_gemma":[0.00001196663,0.000071437215,0.000061097824,0.00003058626,0.000029530414,0.00016411865,0.00002996463,0.000040664618,0.00043977072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000892706,0.00008152945,0.575808,0.000014203481,0.000033754335,1.1179478e-7,0.0010137076,0.00072286424,0.0002184768,0.42111418,0.00064333837,0.00034093735],"study_design_scores_gemma":[0.000791113,0.00010655163,0.67918825,0.000008488867,0.00001194352,9.1566324e-7,0.00013456335,0.13405754,0.0035870727,0.18020336,0.0015227385,0.0003874625],"about_ca_topic_score_codex":0.000364863,"about_ca_topic_score_gemma":0.000021952963,"teacher_disagreement_score":0.2622901,"about_ca_system_score_codex":0.0000315999,"about_ca_system_score_gemma":0.000002786136,"threshold_uncertainty_score":0.99891937},"labels":[],"label_agreement":null},{"id":"W2484674533","doi":"10.1002/ldr.2590","title":"Valuing Ecosystem Services in Semi‐arid Rangelands through Stochastic Simulation","year":2016,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Ecosystem services; Rangeland; Land degradation; Sustainable land management; Land management; Environmental resource management; Land use; Business; Total economic value; Wildlife; Natural resource economics; Agroforestry; Ecosystem; Geography; Economics; Environmental science; Ecology","score_opus":0.06824220847347355,"score_gpt":0.22040910502476757,"score_spread":0.152166896551294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2484674533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.917343,0.00028755554,0.08085017,0.00013835503,0.00013141743,0.00014628789,0.000017108248,0.000019480834,0.0010665972],"genre_scores_gemma":[0.9983367,0.00007004544,0.0010602191,0.00008269835,0.000026658772,0.000022589065,0.000047558107,0.000008920847,0.0003446546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991747,0.000010590209,0.0004082428,0.00024408144,0.000031156098,0.0001311942],"domain_scores_gemma":[0.9996793,0.000054344287,0.00014448904,0.00008241103,0.0000054528673,0.000033978384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029532917,0.00009632977,0.00016621963,0.00008648478,0.00006696576,0.00003214281,0.000044113738,0.00005533026,0.00017137617],"category_scores_gemma":[0.000009823737,0.00008058271,0.000014451312,0.00004823186,0.000008329721,0.00032581136,0.000026261587,0.000028289234,0.0002747843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016529448,0.000028183791,0.98407537,0.00003237397,0.000016171876,4.882641e-7,0.0011243727,0.004425371,0.000018638313,0.00238774,0.000011199041,0.00786357],"study_design_scores_gemma":[0.0018339895,0.000019683692,0.9667053,0.00008918142,0.0000026221956,0.0000020980233,0.00013529601,0.01954771,0.00009266273,0.0032927063,0.008024298,0.000254428],"about_ca_topic_score_codex":0.00004500896,"about_ca_topic_score_gemma":0.00019898942,"teacher_disagreement_score":0.08099362,"about_ca_system_score_codex":0.00014243246,"about_ca_system_score_gemma":0.000009030388,"threshold_uncertainty_score":0.3531888},"labels":[],"label_agreement":null},{"id":"W2489721913","doi":"10.1007/s10754-016-9193-5","title":"Willingness to pay and the sensitivity of willingness to pay for interdisciplinary musculoskeletal clinics: a contingent valuation study in Quebec, Canada","year":2016,"lang":"en","type":"article","venue":"International Journal of Health Economics and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Contingent valuation; Willingness to pay; Population; Health care; Medicine; Payment; Reimbursement; Actuarial science; Rehabilitation; Family medicine; Business; Physical therapy; Economics; Finance; Environmental health","score_opus":0.046056476591988006,"score_gpt":0.2973460876219935,"score_spread":0.25128961103000547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2489721913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94908774,0.00015396175,0.021739967,0.027144162,0.00090922276,0.00087392464,0.000051746752,0.0000011961873,0.000038053615],"genre_scores_gemma":[0.9973303,0.0012257937,0.00043948655,0.0007250803,0.00009254603,0.0000422115,0.000002925433,0.000010253812,0.00013137549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826795,0.00006402297,0.0012458789,0.00023026153,0.000050190818,0.00014171882],"domain_scores_gemma":[0.99869895,0.00022411316,0.00084640866,0.00010691038,0.00004632977,0.000077262666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004093598,0.00010461325,0.0004043004,0.00014536874,0.000057279754,0.000035478664,0.00014297897,0.000021062446,0.000006895418],"category_scores_gemma":[0.000060796643,0.00006924872,0.000061773295,0.000029564204,0.000031149902,0.00016297537,0.0002015568,0.000051239018,0.000001809062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084491476,0.0003534563,0.642948,0.00011504246,0.0005600721,0.0000056932927,0.003958565,0.006722423,0.0000034523096,0.040078316,0.00044674872,0.30396333],"study_design_scores_gemma":[0.004629401,0.0002893036,0.9713866,0.00011234023,0.000017408496,0.0000033225847,0.0017996536,0.0031039787,0.000004717212,0.008377424,0.010119066,0.00015674996],"about_ca_topic_score_codex":0.035113096,"about_ca_topic_score_gemma":0.27152032,"teacher_disagreement_score":0.32843864,"about_ca_system_score_codex":0.0005616477,"about_ca_system_score_gemma":0.000068357214,"threshold_uncertainty_score":0.97131217},"labels":[],"label_agreement":null},{"id":"W2490010249","doi":"10.1016/j.landusepol.2016.07.007","title":"The effect of communication on individual preferences for common property resources: A case study of two Canadian First Nations","year":2016,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Deliberation; Indigenous; Tourism; Promotion (chess); Context (archaeology); Compensation (psychology); Public economics; Public relations; Focus group; Marketing; Business; Political science; Environmental resource management; Economics; Social psychology; Psychology; Geography; Law; Ecology","score_opus":0.13604905373351112,"score_gpt":0.2774470851398999,"score_spread":0.1413980314063888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2490010249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99766695,0.00005299542,0.000008587051,0.00040936805,0.00001970483,0.00056050555,0.00037223834,0.0000033230106,0.0009063428],"genre_scores_gemma":[0.99951816,0.00007190792,0.000021518717,0.000022818234,0.000018364583,0.00011168495,0.000010183248,0.0000068494974,0.0002185087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994659,0.00004398977,0.0002732047,0.00009990153,0.00001743505,0.00009959229],"domain_scores_gemma":[0.9988716,0.00061129156,0.0002032625,0.00027066874,0.0000065156446,0.000036649297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004316501,0.00006029645,0.00014488616,0.00013769855,0.00025869816,0.000022397173,0.00015067444,0.000027423805,0.000011102045],"category_scores_gemma":[0.00015953586,0.00003230236,0.000030445706,0.00006336397,0.000047316506,0.0000843283,0.000026886139,0.00002823465,0.0000092814125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020137888,0.000056094355,0.99318814,0.000008238047,0.00004158127,2.1218942e-7,0.0017118766,0.000098781755,3.7502457e-7,0.0031836526,0.00006726542,0.0016236142],"study_design_scores_gemma":[0.0041031498,0.001624933,0.9828196,0.00005905832,0.000030990304,0.0000068572363,0.00052846136,0.0004884689,0.000097972734,0.001692845,0.008384124,0.00016351257],"about_ca_topic_score_codex":0.39057553,"about_ca_topic_score_gemma":0.7363804,"teacher_disagreement_score":0.3458049,"about_ca_system_score_codex":0.00008678665,"about_ca_system_score_gemma":0.000013484011,"threshold_uncertainty_score":0.61348265},"labels":[],"label_agreement":null},{"id":"W2491700952","doi":"10.1136/bmjopen-2016-011985","title":"Simulation study to determine the impact of different design features on design efficiency in discrete choice experiments","year":2016,"lang":"en","type":"article","venue":"BMJ Open","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; St. Joseph’s Healthcare Hamilton; Population Health Research Institute; McMaster University","funders":"","keywords":"Efficiency; Fractional factorial design; Computer science; Design of experiments; Compromise; Factorial experiment; Statistics; Mathematics; Machine learning","score_opus":0.3184309510261618,"score_gpt":0.395930681958122,"score_spread":0.07749973093196016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2491700952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742078,0.000015528683,0.019533144,0.00009932068,0.00005451868,0.0054906434,0.000014133331,0.000003452699,0.0005814329],"genre_scores_gemma":[0.9988947,0.0000022966808,0.00019286055,0.000041861877,0.000021222486,0.00042399188,0.0000014903678,0.00001302594,0.00040855148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990253,0.000096735625,0.0004175907,0.0002723835,0.00003860431,0.00014939616],"domain_scores_gemma":[0.99899966,0.00037809755,0.00022500967,0.00035411605,0.0000039961783,0.000039122122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009491237,0.0001204872,0.0002548507,0.00009078327,0.00004824454,0.000044219047,0.00036050536,0.000026056889,0.00023011696],"category_scores_gemma":[0.00018465769,0.00007128551,0.000049525213,0.00007079452,0.000017929358,0.00017428977,0.00014712759,0.00003363741,0.00014336097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037199634,0.00073341234,0.6568024,0.0000023732568,0.00004111856,6.863273e-7,0.0018442863,0.33721635,0.00040865043,0.00025206993,0.00013274509,0.002193887],"study_design_scores_gemma":[0.001211557,0.0010948464,0.983285,0.000028087512,0.0000024556437,1.3213037e-7,0.000094578754,0.012777826,0.00072753936,0.0006444366,0.0000043506575,0.00012917731],"about_ca_topic_score_codex":0.0004791306,"about_ca_topic_score_gemma":0.000024657604,"teacher_disagreement_score":0.3264826,"about_ca_system_score_codex":0.00025308412,"about_ca_system_score_gemma":0.000009331528,"threshold_uncertainty_score":0.29069388},"labels":[],"label_agreement":null},{"id":"W2494744987","doi":"10.1111/1477-9552.12187","title":"German and British Consumer Willingness to Pay for Beef Labeled with Food Safety Attributes","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"German; Willingness to pay; Food safety; Quality (philosophy); Business; Consumption (sociology); Agricultural economics; European union; Consumer demand; Mixed logit; Agricultural science; Marketing; Economics; Logistic regression; Food science; Geography; International trade","score_opus":0.03508315563165727,"score_gpt":0.19054089939071325,"score_spread":0.15545774375905597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494744987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941221,0.0004544803,0.0019681926,0.002445018,0.00023583088,0.00025117464,0.00037765177,0.0000064002866,0.00013915308],"genre_scores_gemma":[0.9952701,0.0013907577,0.0023818105,0.00023248521,0.00020943649,0.000011454205,0.000011134495,0.000016576478,0.0004762424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876845,0.0000074164723,0.00075664034,0.00023221625,0.000017300767,0.00021796796],"domain_scores_gemma":[0.9989382,0.00010373516,0.0006665721,0.00008827364,0.00004742056,0.00015581015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036716167,0.00014180166,0.00044821698,0.000050446157,0.00009958714,0.00009195468,0.00013555388,0.0000742608,0.000079230755],"category_scores_gemma":[0.000040616225,0.00009190572,0.00010260801,0.00003933909,0.00004505619,0.0005615327,0.000034652207,0.00006882536,0.000041346633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004122943,0.0002262224,0.9276818,0.000073664865,0.0010007233,0.0000036398123,0.00063723995,0.0014898136,0.0009073555,0.038809028,0.006802919,0.021955324],"study_design_scores_gemma":[0.0025338188,0.0006741927,0.9662707,0.000063630054,0.000028887627,0.00015682334,0.000097746706,0.000022646413,0.0003677161,0.0029326337,0.026523842,0.00032739504],"about_ca_topic_score_codex":0.000014591986,"about_ca_topic_score_gemma":0.00008707198,"teacher_disagreement_score":0.038588893,"about_ca_system_score_codex":0.00023795768,"about_ca_system_score_gemma":0.000014546546,"threshold_uncertainty_score":0.37478065},"labels":[],"label_agreement":null},{"id":"W2499011740","doi":"10.1007/s11116-016-9727-1","title":"Nudging for responsible carsharing: using behavioral economics to change transportation behavior","year":2016,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs; National Science Foundation","keywords":"Behavioral economics; Salience (neuroscience); Report card; Travel behavior; Behavioral analysis; Behavioral modeling; Motivational interviewing; Behavior change; Behavioural sciences; Smart card; Psychology; Applied psychology; Transport engineering; Engineering; Computer science; Computer security; Social psychology; Cognitive psychology; Economics; Microeconomics; Artificial intelligence","score_opus":0.32750877724476907,"score_gpt":0.29589947762294505,"score_spread":0.031609299621824016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2499011740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96972525,0.00006124645,0.027221277,0.0003723945,0.000321136,0.0008874656,0.0013154403,0.000041940028,0.00005383383],"genre_scores_gemma":[0.992667,0.00004670459,0.0060078,0.00014082441,0.0001012677,0.00045508836,0.00029615927,0.00004796563,0.00023715531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864995,0.000005411637,0.00061554374,0.00044075618,0.000024746176,0.00026357896],"domain_scores_gemma":[0.9994395,0.000023806906,0.00023692718,0.00018414896,0.00001640794,0.00009922966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807877,0.0001588033,0.0002499369,0.00020288596,0.00010494258,0.000024255358,0.00010356569,0.000101207515,0.00023442671],"category_scores_gemma":[0.0000049327405,0.00017985227,0.00012398236,0.000064428204,0.000023627665,0.0006531276,0.0000016932755,0.00003658189,0.00012332105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014403478,0.0001653905,0.9429137,0.000032657765,0.000026643625,0.0000018645417,0.0037388727,0.00087210996,0.006072884,0.034613505,0.000039740004,0.011378593],"study_design_scores_gemma":[0.001124655,0.00013596831,0.98882157,0.000026908776,0.000052581072,5.216708e-7,0.00011890348,0.00036854172,0.003277087,0.0027459064,0.0029742185,0.00035315382],"about_ca_topic_score_codex":0.00035822985,"about_ca_topic_score_gemma":0.0008996802,"teacher_disagreement_score":0.04590785,"about_ca_system_score_codex":0.00028073462,"about_ca_system_score_gemma":0.000016714455,"threshold_uncertainty_score":0.73341626},"labels":[],"label_agreement":null},{"id":"W2501122965","doi":"10.2166/wcc.2016.119","title":"Welfare values of sustained urban water flows for recreational and cultural amenities under climate change","year":2016,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Recreation; Welfare; Valuation (finance); Contingent valuation; Climate change; Willingness to pay; Natural resource economics; Geography; Revealed preference; Economics; Environmental science; Environmental resource management; Ecology; Econometrics; Microeconomics","score_opus":0.12902757488028557,"score_gpt":0.2446309637405757,"score_spread":0.11560338886029012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501122965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938697,0.0011442129,0.00005219708,0.0039413017,0.00018896977,0.00020010993,0.00028985835,0.0000042698703,0.00030934118],"genre_scores_gemma":[0.99154073,0.007622202,0.00016493622,0.00015577357,0.00031482798,0.000030461166,0.000039468698,0.000015563972,0.000116008916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990551,0.000012482733,0.00050009857,0.00014194616,0.00003308542,0.0002573191],"domain_scores_gemma":[0.9995873,0.000021540292,0.00022741283,0.00006514491,0.000038043647,0.000060568662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004757238,0.00012097848,0.00031683705,0.00011791215,0.00011277011,0.000036163594,0.00005828185,0.00006293901,0.00027311468],"category_scores_gemma":[0.000005662846,0.000068365625,0.00008529138,0.000011743439,0.00007079775,0.0006706268,0.000058063666,0.00003692141,0.000011175048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012247193,0.0003347891,0.8285161,0.0012264488,0.00050095766,0.000008608388,0.049047936,0.000008874523,0.008362454,0.093348555,0.00054610445,0.016874444],"study_design_scores_gemma":[0.016071655,0.0032638886,0.81218046,0.0008962109,0.00034617173,0.00019161722,0.025518678,0.0010761445,0.021992577,0.08898506,0.027717358,0.0017602021],"about_ca_topic_score_codex":0.000012871882,"about_ca_topic_score_gemma":0.0000049499877,"teacher_disagreement_score":0.027171252,"about_ca_system_score_codex":0.00006571489,"about_ca_system_score_gemma":0.0000010821631,"threshold_uncertainty_score":0.29904145},"labels":[],"label_agreement":null},{"id":"W2501592750","doi":"10.5848/csp.3259.00011","title":"Managing Ecotourism Impacts in Gros Morne National Park, Canada","year":2015,"lang":"en","type":"book-chapter","venue":"Cambridge Scholars Publishing eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"National park; Geography; Ecotourism; Archaeology; Tourism","score_opus":0.10539668299371292,"score_gpt":0.21777695016050655,"score_spread":0.11238026716679363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501592750","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01703562,0.0020711115,0.000030110243,0.00079215737,0.0010941655,0.00041143253,0.00097075745,0.00004153585,0.9775531],"genre_scores_gemma":[0.44615063,0.00011736968,0.00015370527,0.0017215983,0.0006529634,0.000047169488,0.00080063427,0.0001722547,0.55018365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972089,0.000019845791,0.0011365877,0.00085989677,0.00025393037,0.0005208293],"domain_scores_gemma":[0.99821115,0.00006108662,0.0008634975,0.00046959508,0.00007666045,0.00031798528],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00246134,0.00045164058,0.0006924809,0.00058986514,0.00013022486,0.0010793485,0.0006033775,0.00047580188,0.00029640924],"category_scores_gemma":[0.00036878968,0.00061979814,0.00014551723,0.000035025445,0.000071792056,0.0019156042,0.00025599042,0.0013287615,0.0003598421],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001956441,0.00002283318,0.01289439,0.000082407205,0.00016850917,0.00008727761,0.00014019114,0.0006189816,0.0000044970525,0.6494086,0.3339984,0.002554336],"study_design_scores_gemma":[0.001606988,0.000037271435,0.04356004,0.00021936305,0.00002086234,0.00003089862,0.00004609583,0.0010169125,0.000010987491,0.13964948,0.8124312,0.001369911],"about_ca_topic_score_codex":0.06524938,"about_ca_topic_score_gemma":0.05612544,"teacher_disagreement_score":0.5097591,"about_ca_system_score_codex":0.004666716,"about_ca_system_score_gemma":0.00066542986,"threshold_uncertainty_score":0.9999576},"labels":[],"label_agreement":null},{"id":"W2506914974","doi":"10.1108/9781786359551-031","title":"From Respondent Burden to Respondent Delight","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Respondent; Psychology; Political science; Law","score_opus":0.09875041153844953,"score_gpt":0.21642359856783255,"score_spread":0.11767318702938302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506914974","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010554075,0.0018774314,0.0015305735,0.0021728445,0.0009797652,0.0005042367,0.0006166079,0.000047776717,0.9817167],"genre_scores_gemma":[0.0065279333,0.00053858303,0.0016904715,0.0021124214,0.00050503755,0.00003337011,0.00019887398,0.00011230111,0.988281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976653,0.000010258504,0.0010061922,0.00095600565,0.0000719209,0.0002903116],"domain_scores_gemma":[0.9985428,0.00005423807,0.00040449816,0.00077339594,0.000011810234,0.00021328329],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00048137546,0.00039010897,0.0006489223,0.0003811172,0.0000779912,0.00008296082,0.0003356496,0.00041822495,0.042430054],"category_scores_gemma":[0.000030578394,0.00047956797,0.00024053924,0.000026446123,0.00003819037,0.00012378073,0.0001510934,0.00023683092,0.05630267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008022365,0.000026339998,0.00061335735,0.000008853518,0.0002254516,0.000014892251,0.00057277706,0.00026476607,0.000037945687,0.88532805,0.1114589,0.0013684186],"study_design_scores_gemma":[0.00031572045,0.0000665672,0.0009312927,0.000025949452,0.000016103313,0.0000016120163,0.000038468603,0.000040142997,0.000052554158,0.15298899,0.8449792,0.00054334593],"about_ca_topic_score_codex":0.0003775835,"about_ca_topic_score_gemma":0.000048682414,"teacher_disagreement_score":0.7335203,"about_ca_system_score_codex":0.0007660948,"about_ca_system_score_gemma":0.000017223596,"threshold_uncertainty_score":0.9997656},"labels":[],"label_agreement":null},{"id":"W2507209890","doi":"10.1111/cjag.12168","title":"Consumers’ Valuation of Rice‐Grade Labeling","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Research Foundation of Korea","keywords":"Grading (engineering); Valuation (finance); Willingness to pay; Business; Contingent valuation; Economics; Microeconomics; Engineering; Finance","score_opus":0.11418680380935102,"score_gpt":0.18132402384906707,"score_spread":0.06713722003971605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507209890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899042,0.0009433339,0.00009613221,0.0013404576,0.0020840955,0.00022562413,0.00029941177,0.0000064995697,0.005100209],"genre_scores_gemma":[0.9973858,0.00013645463,0.0008931818,0.00026774209,0.0006572994,0.0000067977758,0.000051151757,0.000031449836,0.00057014177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99701697,0.000030116817,0.0018801161,0.00041777745,0.0000101779715,0.00064483006],"domain_scores_gemma":[0.9965538,0.00008316917,0.0020322462,0.00030282958,0.00014426639,0.000883711],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010196149,0.00029342342,0.0008244325,0.00053369335,0.00022044593,0.000091329784,0.00052405434,0.00019161982,0.0012518105],"category_scores_gemma":[0.00015005162,0.00032014668,0.00031680794,0.00015767755,0.00032236936,0.0008133902,0.000026822494,0.000229959,0.0004692665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101263344,0.00014344581,0.5425307,0.00019846961,0.0015180781,0.000026831982,0.011165314,0.0067015765,0.0016194553,0.4261305,0.0065996284,0.0032647373],"study_design_scores_gemma":[0.0022247327,0.0009455652,0.92633486,0.00010581197,0.000115133764,0.00033411314,0.0026026892,0.00089495355,0.0014901599,0.04173619,0.02217712,0.0010386787],"about_ca_topic_score_codex":0.031205071,"about_ca_topic_score_gemma":0.2078908,"teacher_disagreement_score":0.3843943,"about_ca_system_score_codex":0.0018761004,"about_ca_system_score_gemma":0.0003092577,"threshold_uncertainty_score":0.9999251},"labels":[],"label_agreement":null},{"id":"W2508283586","doi":"10.5539/ass.v12n9p149","title":"Willingness to Pay for Maintenance of a Nature Conservation Area: A Case of Mount Wilhelm, Papua New Guinea","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Helsingin Yliopisto","keywords":"Mount; Willingness to pay; Recreation; New guinea; Socioeconomics; Descriptive statistics; Ecotourism; Geography; Economics; Agricultural economics; Business; Economic growth; Tourism; Sociology; Political science; Ethnology; Engineering; Statistics; Law","score_opus":0.049932696859366514,"score_gpt":0.24921018783724969,"score_spread":0.19927749097788316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508283586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94685876,0.000057213918,0.03649306,0.0073084277,0.0003199408,0.00043121475,0.00031978328,0.000009789246,0.008201782],"genre_scores_gemma":[0.9973138,0.000010429414,0.0017489039,0.00029909433,0.00006921278,0.000017298657,0.000002078517,0.0000069626326,0.00053222734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991037,0.000004551608,0.000376807,0.00028105153,0.00003972789,0.00019415907],"domain_scores_gemma":[0.9993742,0.00003617646,0.00034264586,0.00013869903,0.00004000474,0.00006823928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006140104,0.00007541603,0.0002081409,0.00006827448,0.00011396407,0.000013348654,0.00018950383,0.000076862976,0.00006068337],"category_scores_gemma":[0.00023823757,0.000060860177,0.00006205934,0.00024650822,0.00020748503,0.00028672873,0.000040962856,0.00003859683,0.000015952977],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054764365,0.00007733213,0.16344741,0.000035861267,0.000020643887,0.0000028461777,0.0031996923,0.000009684466,0.005521172,0.7481221,0.0026844256,0.076824084],"study_design_scores_gemma":[0.0015262674,0.0002483043,0.87701374,0.00007358852,0.000011561745,0.000014642052,0.0010137743,0.00037991512,0.004653453,0.0916245,0.023058647,0.00038161053],"about_ca_topic_score_codex":0.0002941365,"about_ca_topic_score_gemma":0.00007979028,"teacher_disagreement_score":0.7135663,"about_ca_system_score_codex":0.0002499248,"about_ca_system_score_gemma":0.000060445826,"threshold_uncertainty_score":0.2481806},"labels":[],"label_agreement":null},{"id":"W2508704520","doi":"10.1080/10871209.2016.1214886","title":"Exploring Reasons for Varying Support for the Status Quo among Ontario’s Moose Hunters","year":2016,"lang":"en","type":"article","venue":"Human Dimensions of Wildlife","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Ontario Ministry of Natural Resources and Forestry","keywords":"Status quo; Context (archaeology); Status quo bias; Public support; Wildlife; Business; Political science; Public economics; Geography; Ecology; Economics; Law; Biology","score_opus":0.23643802538327188,"score_gpt":0.25183045418776623,"score_spread":0.015392428804494346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508704520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935733,0.00009470851,0.0033863953,0.0005287408,0.00033921647,0.00064441876,0.00021866715,0.000019963121,0.0011945739],"genre_scores_gemma":[0.9949776,0.00019485208,0.0012857692,0.00021567261,0.000064353844,0.00036546745,0.000033732813,0.000032875,0.0028297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876034,0.0000064852024,0.00053550734,0.00031364497,0.000030211857,0.0003538089],"domain_scores_gemma":[0.9989047,0.0002718514,0.00033355446,0.00038099964,0.000015654212,0.00009325449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044143054,0.00013188635,0.0002717056,0.00010039205,0.00029364694,0.00001840126,0.00015962264,0.000045429217,0.0003434965],"category_scores_gemma":[0.00010211182,0.00009624034,0.00018669871,0.00003121037,0.00011305143,0.0004122554,0.000066191526,0.000049576174,0.000059790378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007377541,0.00017164547,0.928368,0.000035357603,0.0002542195,3.7447907e-7,0.0027668732,0.00087838183,0.0004913595,0.050134107,0.014860898,0.0019650632],"study_design_scores_gemma":[0.002948883,0.00034036196,0.8906018,0.00008943545,0.000069211106,0.0000010454964,0.0006058394,0.0005993925,0.00042968296,0.007060274,0.09680618,0.00044788432],"about_ca_topic_score_codex":0.0019545222,"about_ca_topic_score_gemma":0.0014125489,"teacher_disagreement_score":0.081945285,"about_ca_system_score_codex":0.00030473174,"about_ca_system_score_gemma":0.000026502852,"threshold_uncertainty_score":0.3924567},"labels":[],"label_agreement":null},{"id":"W2513877962","doi":"10.1111/cjag.12114","title":"Understanding Strategic Behavior and Its Contribution to Hypothetical Bias When Eliciting Values for a Private Good","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Welfare economics; Marketing; Economics; Humanities; Business; Philosophy","score_opus":0.25852307551364756,"score_gpt":0.2018968926360354,"score_spread":0.05662618287761215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513877962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99122596,0.00029467145,0.00067969406,0.004963962,0.0007672424,0.0006345167,0.0008280226,0.000008463836,0.00059745694],"genre_scores_gemma":[0.998251,0.00009800993,0.00046439192,0.00029385797,0.00043876018,0.000050400227,0.000025684396,0.000034146662,0.00034370486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974495,0.000022628488,0.0012617345,0.0004839496,0.000007960457,0.00077423814],"domain_scores_gemma":[0.997406,0.00018417292,0.00086745206,0.00016130839,0.000062570645,0.0013185139],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008543678,0.00029905664,0.0006858952,0.00037436807,0.00027813544,0.00019173557,0.0003040002,0.00017146017,0.00029795658],"category_scores_gemma":[0.00020446163,0.00026421863,0.0002262698,0.000057859215,0.00008841853,0.0007142549,0.000028275976,0.00013067306,0.000105436025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038249516,0.00001892347,0.047953047,0.000022635173,0.00015960849,0.000008020797,0.0005698498,0.0004418468,0.00030326872,0.9495801,0.00030192747,0.00060254405],"study_design_scores_gemma":[0.006618959,0.0021500152,0.4318051,0.00036030787,0.00023264767,0.0008201907,0.0030113983,0.0008061725,0.0011393201,0.536849,0.013922396,0.0022844428],"about_ca_topic_score_codex":0.0013107178,"about_ca_topic_score_gemma":0.053097125,"teacher_disagreement_score":0.41273105,"about_ca_system_score_codex":0.0039882218,"about_ca_system_score_gemma":0.00013895845,"threshold_uncertainty_score":0.999981},"labels":[],"label_agreement":null},{"id":"W2517028597","doi":"10.1111/cjag.12099","title":"Chamberlin Meets Ciriacy‐Wantrup: Using Insights from Experimental Economics to Inform Stated Preference Research","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preference; Revealed preference; Public good; Economics; Mechanism (biology); Public economics; Data science; Positive economics; Management science; Microeconomics; Environmental economics; Computer science; Epistemology","score_opus":0.24546919164184855,"score_gpt":0.2276372192078999,"score_spread":0.017831972433948656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517028597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98987716,0.00080045615,0.000043104992,0.0032414573,0.0020935123,0.00053098757,0.0011314151,0.000012383079,0.002269536],"genre_scores_gemma":[0.9969052,0.00023104268,0.0007527204,0.0003698504,0.0008169886,0.000027898612,0.00007124775,0.000064356274,0.00076068763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99555075,0.000060985592,0.002240451,0.00085946504,0.00001941949,0.0012689101],"domain_scores_gemma":[0.9954419,0.00020729446,0.0012684126,0.0005500778,0.00014995337,0.0023823655],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00087744877,0.00049996196,0.0010915201,0.0010015389,0.00049990945,0.00031341048,0.0009836735,0.00030216592,0.0018287526],"category_scores_gemma":[0.00016458362,0.0004554538,0.00031779395,0.00023655166,0.00026122737,0.0019032108,0.00011906783,0.00037226814,0.0011656501],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008018238,0.00041620983,0.21706313,0.000099162324,0.0030110613,0.00019807609,0.03962662,0.05064797,0.009821219,0.65393174,0.012845185,0.011537794],"study_design_scores_gemma":[0.007444836,0.0021659536,0.68163335,0.0005075892,0.000094069546,0.00045757214,0.0091887405,0.0016289762,0.007200436,0.06563572,0.22003561,0.00400713],"about_ca_topic_score_codex":0.05024569,"about_ca_topic_score_gemma":0.3112492,"teacher_disagreement_score":0.588296,"about_ca_system_score_codex":0.009167441,"about_ca_system_score_gemma":0.0006235098,"threshold_uncertainty_score":0.9997897},"labels":[],"label_agreement":null},{"id":"W2517679670","doi":"10.1371/journal.pone.0158901","title":"The Economic Value of the Greater Montreal Blue Network (Quebec, Canada): A Contingent Choice Study Using Real Projects to Estimate Non-Market Aquatic Ecosystem Services Benefits","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"David Suzuki Foundation","keywords":"Recreation; Unit (ring theory); Ecosystem services; Biodiversity; Aquatic ecosystem; Ecosystem; Carbon sequestration; Total economic value; Willingness to pay; Value (mathematics); Environmental resource management; Freshwater ecosystem; Natural resource economics; Business; Environmental science; Ecology; Economics; Biology","score_opus":0.050684282511456756,"score_gpt":0.20382213021507029,"score_spread":0.15313784770361352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517679670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99695474,0.000115640025,0.000016752516,0.0004037616,0.00022324688,0.0012891536,0.000106554166,0.000010098498,0.0008800478],"genre_scores_gemma":[0.998683,0.000043323074,0.00010376922,0.000070350055,0.00016318655,0.00010448823,0.0000021796538,0.000032908054,0.0007968047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834365,0.000058925227,0.00075577956,0.0004031727,0.00007083808,0.0003676249],"domain_scores_gemma":[0.9985844,0.00018456939,0.0006015178,0.0005353013,0.000012259237,0.00008194929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067052286,0.00019633351,0.00044903974,0.00004032771,0.00025686517,0.000060212053,0.00039102772,0.00005130592,0.000058674093],"category_scores_gemma":[0.000028959617,0.0001327719,0.00006464121,0.00006869317,0.000026327427,0.00014861475,0.00017507072,0.000059875314,0.00006175207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033158212,0.00013861485,0.9834733,0.000047664736,0.00037190336,4.7422876e-7,0.0006649908,0.014518604,0.000026940234,0.00023402789,0.00011586438,0.00037444162],"study_design_scores_gemma":[0.0006826048,0.0000702762,0.92792726,0.00023591222,0.00008388947,4.3053532e-7,0.00021053538,0.070165165,0.00020950037,0.00013910477,0.00006485922,0.00021046506],"about_ca_topic_score_codex":0.60319465,"about_ca_topic_score_gemma":0.9497725,"teacher_disagreement_score":0.3465778,"about_ca_system_score_codex":0.0011318792,"about_ca_system_score_gemma":0.00010653075,"threshold_uncertainty_score":0.5414281},"labels":[],"label_agreement":null},{"id":"W2519457259","doi":"10.1111/nrm.12105","title":"FAUSTMANN'S FORMULAS FOR FORESTS","year":2016,"lang":"en","type":"article","venue":"Natural Resource Modeling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Asset (computer security); Investment (military); Natural capital; Capital (architecture); Conjunction (astronomy); Natural resource economics; Resource (disambiguation); Business; Economics; Environmental resource management; Ecology; Ecosystem services; Computer science; Ecosystem; Geography","score_opus":0.10972159048041412,"score_gpt":0.23337743927470708,"score_spread":0.12365584879429296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519457259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.824842,0.001025951,0.17032331,0.00084436545,0.00017804792,0.00023798623,0.00004461396,0.00003877041,0.002464946],"genre_scores_gemma":[0.99404615,0.000031066033,0.0021604123,0.0002390567,0.00016092385,0.00003976519,0.000018180841,0.000026882934,0.0032775342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900585,0.0000038264293,0.00036548206,0.00032330313,0.000027002243,0.00027454726],"domain_scores_gemma":[0.99955964,0.000060816714,0.000124672,0.00019057923,0.000009601215,0.000054661406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000330615,0.00011534722,0.0001871715,0.000086921485,0.000107098625,0.000025326659,0.00014676964,0.00008837487,0.00009211226],"category_scores_gemma":[0.00010933192,0.00009666536,0.00012628257,0.000033705233,0.00002060489,0.00023539632,0.000043982607,0.000064740016,0.00033965457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042837707,0.00017474256,0.20140351,0.0001258188,0.0002672821,0.000002637259,0.0012811448,0.10796202,0.0024294243,0.53047085,0.009111122,0.1463431],"study_design_scores_gemma":[0.001737949,0.000068885856,0.007231291,0.000036572546,0.000008025755,0.0000026806795,0.000057405865,0.85953355,0.00029588814,0.08834755,0.042269878,0.00041035796],"about_ca_topic_score_codex":0.000017797278,"about_ca_topic_score_gemma":0.000013400997,"teacher_disagreement_score":0.7515715,"about_ca_system_score_codex":0.0001917285,"about_ca_system_score_gemma":0.000003990441,"threshold_uncertainty_score":0.43656853},"labels":[],"label_agreement":null},{"id":"W2521588538","doi":"10.1108/9781786359513-020","title":"Valuation of Environmental Externalities","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Valuation (finance); Externality; Economics; Environmental economics; Business; Actuarial science; Microeconomics; Accounting","score_opus":0.129325507029274,"score_gpt":0.19206868228933097,"score_spread":0.06274317526005696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521588538","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050504464,0.0029190348,0.0010985774,0.000047458103,0.00026172266,0.00018859394,0.00039027075,0.0000103893235,0.9900335],"genre_scores_gemma":[0.16512719,0.0014590669,0.00050516747,0.00020744486,0.000056425084,0.000007241051,0.00011614457,0.000046241843,0.83247507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987737,0.000004231971,0.00073370466,0.00031783734,0.000042787025,0.00012771884],"domain_scores_gemma":[0.9990516,0.000018055787,0.0006140832,0.00027266602,0.000002058056,0.000041588482],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033102307,0.00019238846,0.000400212,0.00012688189,0.000029418952,0.000011050241,0.00010502753,0.00019749935,0.03171997],"category_scores_gemma":[0.000005092229,0.00024411325,0.00017274288,0.00000483902,0.00009666875,0.00011554128,0.00003461712,0.00009778162,0.0030277786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025502568,0.000021420505,0.005315792,0.000016711183,0.00006897887,3.3048835e-7,0.000071187955,0.000027761254,0.000014228479,0.99284345,0.0007821513,0.00083546137],"study_design_scores_gemma":[0.0004408784,0.00008748911,0.014205152,0.00002752204,0.000028721826,0.000004003724,0.000036775324,0.00012329643,0.0001417169,0.7731117,0.21130833,0.0004844404],"about_ca_topic_score_codex":0.00001671287,"about_ca_topic_score_gemma":0.000001980856,"teacher_disagreement_score":0.21973175,"about_ca_system_score_codex":0.00023873705,"about_ca_system_score_gemma":0.000005214797,"threshold_uncertainty_score":0.9977485},"labels":[],"label_agreement":null},{"id":"W2524881510","doi":"10.2139/ssrn.2818041","title":"Revealed Preference Analysis of Characteristics in Discrete Choice","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Preference; Discrete choice; Econometrics; Revealed preference; Statistics; Economics; Mathematics; Mathematical economics","score_opus":0.054546914631182865,"score_gpt":0.22006051348365774,"score_spread":0.16551359885247488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524881510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98844117,0.0005595517,0.009619277,0.00028761078,0.00006497506,0.000055378343,0.000044690143,0.0000035111282,0.00092381175],"genre_scores_gemma":[0.99344766,0.004792846,0.00004210443,0.000023902976,0.000041699444,0.000004037277,0.000007331769,0.000009018748,0.0016313919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984565,0.00002105949,0.0006538609,0.00018584267,0.000028777715,0.0006540004],"domain_scores_gemma":[0.99922335,0.00005113093,0.0005230887,0.00015835653,0.000007923097,0.000036178593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013202737,0.0000864565,0.0003621568,0.00032994704,0.000030404184,0.000010881035,0.00016984595,0.00005286784,0.0003133681],"category_scores_gemma":[0.0000959438,0.00007476325,0.00012146281,0.00022201816,0.000034697576,0.00021304814,0.000024031759,0.00025614817,0.00008621805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009821995,0.000025245028,0.89453864,0.0000018278274,0.0002342726,2.0242739e-7,0.000040804396,0.000021518083,0.00009596011,0.10201033,0.0000030353822,0.0030183124],"study_design_scores_gemma":[0.00044373702,0.000064889326,0.93306017,0.000011158746,0.000044671826,0.0000024028807,0.000043218657,0.00031768763,0.000013850008,0.06565704,0.00023844851,0.000102727725],"about_ca_topic_score_codex":0.00012496188,"about_ca_topic_score_gemma":0.0005854934,"teacher_disagreement_score":0.038521502,"about_ca_system_score_codex":0.00080899656,"about_ca_system_score_gemma":0.00007600774,"threshold_uncertainty_score":0.34311607},"labels":[],"label_agreement":null},{"id":"W25260004","doi":"10.1103/physrevlett.113.117204","title":"Attitudes and perspectives toward water and water management in the Town of Gibsons, British Columbia","year":2008,"lang":"en","type":"dissertation","venue":"Physical Review Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.04779034902804374,"score_gpt":0.24137628536803035,"score_spread":0.1935859363399866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W25260004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707379,0.025804253,0.000002142827,0.0012755945,0.000042663192,0.00044684188,0.0000195794,0.000003270143,0.001667753],"genre_scores_gemma":[0.8912506,0.10692025,0.000032578744,0.0011233127,0.00003407139,0.00008835907,0.00018153008,0.000013543143,0.00035574744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991178,0.00002226828,0.00034021883,0.00033106643,0.000038468148,0.00015017518],"domain_scores_gemma":[0.99972266,0.000015306363,0.00010195273,0.00013636956,0.000003310914,0.000020374926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022254384,0.000113810725,0.00045044633,0.000028989067,0.000048125243,0.000061501705,0.00010837313,0.000020439169,0.00015371904],"category_scores_gemma":[0.000004423926,0.00010820734,0.000087898916,0.000025373625,0.00007335079,0.0001048431,0.0000330335,0.00011624998,0.000032289186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104102335,0.0036151079,0.5965291,0.0590307,0.0027165203,0.00020458375,0.14643642,0.00011278354,0.002174079,0.010242788,0.08136615,0.09746762],"study_design_scores_gemma":[0.00038421384,0.00004219431,0.98877317,0.00087036815,0.00006992411,0.000007155921,0.0007197818,0.000032395743,0.00003391024,0.0019128823,0.0067931446,0.0003608486],"about_ca_topic_score_codex":0.0008973051,"about_ca_topic_score_gemma":0.00030034097,"teacher_disagreement_score":0.39224404,"about_ca_system_score_codex":0.000046153724,"about_ca_system_score_gemma":0.0000010251435,"threshold_uncertainty_score":0.44125676},"labels":[],"label_agreement":null},{"id":"W2527644924","doi":"","title":"Willingness to pay and preferences for healthy home attributes in Canada","year":2005,"lang":"en","type":"article","venue":"Forest Products Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Indoor air quality; Preference; Business; Marketing; Quality (philosophy); Logistic regression; Mixed logit; Choice modelling; Environmental health; Economics; Engineering; Medicine; Environmental engineering","score_opus":0.08366871232734466,"score_gpt":0.21853658545750518,"score_spread":0.13486787313016052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527644924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869703,0.0012956673,0.0004971785,0.010488118,0.00037360127,0.00023490432,0.000057665948,0.0000027202002,0.00007984533],"genre_scores_gemma":[0.99663615,0.00031932807,0.002048068,0.00038838515,0.00036488706,0.00002023919,0.000009765741,0.000009881134,0.00020327253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990867,0.0000070008373,0.0004223814,0.00022589693,0.000024359004,0.00023369958],"domain_scores_gemma":[0.9996014,0.000025049418,0.00017024341,0.00008882345,0.000013110973,0.00010133603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005209068,0.000082692015,0.00019445259,0.00007365407,0.00008827,0.00004524689,0.00009618273,0.000024224682,0.000059888756],"category_scores_gemma":[0.00007901405,0.00007667903,0.000015185039,0.00006695789,0.000013648218,0.00024811988,0.000022048747,0.00010324015,0.000025643969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019222078,0.000018684408,0.98924303,0.000015528296,0.000006557186,3.7748836e-7,0.00013744926,0.0034295944,0.0000023708635,0.0012765027,0.0021524143,0.003698239],"study_design_scores_gemma":[0.00044058482,0.00009608256,0.9572376,0.000010808697,0.0000015777633,0.000012089694,0.000062777406,0.00066340494,0.000031967335,0.007743157,0.033571403,0.00012852806],"about_ca_topic_score_codex":0.04846879,"about_ca_topic_score_gemma":0.42580834,"teacher_disagreement_score":0.37733954,"about_ca_system_score_codex":0.00049004995,"about_ca_system_score_gemma":0.00015240912,"threshold_uncertainty_score":0.95786756},"labels":[],"label_agreement":null},{"id":"W2528018954","doi":"10.1111/cjag.12118","title":"The Impact of Brand and Attention on Consumers’ Willingness to Pay: Evidence from an Eye Tracking Experiment","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Product (mathematics); Advertising; Business; Economics; Marketing; Psychology; Microeconomics; Mathematics","score_opus":0.07888014335550445,"score_gpt":0.22206504937116447,"score_spread":0.14318490601566003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528018954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946139,0.00074461673,0.00003918658,0.0031573926,0.00072571595,0.000248667,0.00035469653,0.0000033593697,0.00011249841],"genre_scores_gemma":[0.99886256,0.00047409022,0.00007883005,0.00008264102,0.00024730203,0.00001131601,0.000011809663,0.000022112205,0.00020931712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789375,0.000035889665,0.0011518323,0.00041932426,0.000009054187,0.0004901321],"domain_scores_gemma":[0.9973535,0.00023436289,0.0010384662,0.00029347534,0.000056173627,0.0010240129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006594741,0.00024838545,0.0005762472,0.00015754082,0.00025619875,0.00020472471,0.0003989781,0.00010639407,0.00028731825],"category_scores_gemma":[0.00013531203,0.0001651534,0.000245051,0.000057325466,0.00016247646,0.00096277066,0.000022362357,0.00013195554,0.00006452977],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009543841,0.000027808104,0.98123956,0.000007337029,0.0003155434,0.0000052354208,0.0020707925,0.0019497938,0.0013477256,0.0044890004,0.00040167663,0.008050107],"study_design_scores_gemma":[0.0006480137,0.0007069828,0.9937356,0.00013879561,0.000018100545,0.000022336679,0.0006617305,0.00008404371,0.00021904994,0.0027598161,0.00070051115,0.0003050264],"about_ca_topic_score_codex":0.08979965,"about_ca_topic_score_gemma":0.37542683,"teacher_disagreement_score":0.2856272,"about_ca_system_score_codex":0.0021402605,"about_ca_system_score_gemma":0.0001713663,"threshold_uncertainty_score":0.91626143},"labels":[],"label_agreement":null},{"id":"W2528238904","doi":"10.5751/es-00179-040106","title":"Differences and Congruencies between PVA Packages: the Importance of Sex Ratio for Predictions of Extinction Risk","year":2000,"lang":"en","type":"article","venue":"Conservation Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Extinction (optical mineralogy); Psychology; Biology; Paleontology","score_opus":0.07965049854043427,"score_gpt":0.2241657301891656,"score_spread":0.14451523164873134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528238904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943568,0.00018220047,0.0030820076,0.0009176898,0.000081366125,0.00030448413,0.0002676517,0.0000075095113,0.00080028764],"genre_scores_gemma":[0.9985452,0.00046380074,0.00020685971,0.00012797744,0.0000346275,0.000066941015,0.000039129573,0.000005236353,0.000510221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920726,0.000026222302,0.00051356235,0.0001561157,0.000013494252,0.00008336661],"domain_scores_gemma":[0.99903107,0.0003456848,0.00046424774,0.0001258922,0.000016789669,0.000016301867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004324601,0.000062811785,0.00021859654,0.000043613894,0.00011348756,0.000007226248,0.00006443361,0.000070075956,0.000640918],"category_scores_gemma":[0.00010712395,0.000060244674,0.00003791974,0.000050162602,0.00020300483,0.00013170073,0.000010563046,0.000044026885,0.000011222521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006510162,0.000016156515,0.99434566,0.000010556974,0.000035538007,9.389231e-9,0.00032793256,0.00009099404,0.0000136391045,0.0041657304,0.00019008706,0.00079718657],"study_design_scores_gemma":[0.00034861357,0.000114492184,0.9796912,0.0000021203123,0.000018613962,4.7180876e-7,0.0002941062,0.00519023,0.00008843541,0.012774326,0.001424188,0.00005319563],"about_ca_topic_score_codex":0.00011088112,"about_ca_topic_score_gemma":0.00021326165,"teacher_disagreement_score":0.014654453,"about_ca_system_score_codex":0.000030609768,"about_ca_system_score_gemma":0.00001268602,"threshold_uncertainty_score":0.70176023},"labels":[],"label_agreement":null},{"id":"W2530041152","doi":"10.12735/jfe.v4n4p01","title":"Individual Risk Preferences and Better Car Replacement","year":2016,"lang":"en","type":"article","venue":"Journal of Finance & Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lottery; Risk aversion (psychology); Actuarial science; Group insurance; Auto insurance risk selection; Business; Task (project management); Expected utility hypothesis; Insurance policy; Key person insurance; Economics; Microeconomics; General insurance; Income protection insurance; Financial economics","score_opus":0.06446363184756594,"score_gpt":0.20237761749342306,"score_spread":0.1379139856458571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530041152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950151,0.0012466839,0.0009075084,0.00089502934,0.00042950656,0.00008099128,0.00015030862,0.000003818022,0.0012710537],"genre_scores_gemma":[0.98646706,0.010880877,0.0019926871,0.00021061815,0.00019337484,0.0000047510275,0.0000017521944,0.000014934352,0.000233923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986026,0.000016075006,0.0009211009,0.00024739557,0.000021741713,0.00019103302],"domain_scores_gemma":[0.99820364,0.0000685526,0.0014622521,0.00018817549,0.00001220075,0.00006516908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093712664,0.00013298074,0.0003814217,0.00013108521,0.00007023372,0.000048548092,0.00019496435,0.0000844251,0.00024445273],"category_scores_gemma":[0.000054104436,0.00011748327,0.000099079625,0.000025954201,0.000092311275,0.0006185499,0.00006246686,0.000118181066,0.00016112448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000367067,0.000036221754,0.9534382,0.0000046366276,0.00008392926,9.121832e-7,0.00023470614,0.0001125073,0.000012111205,0.009432447,0.0009182952,0.035689313],"study_design_scores_gemma":[0.001529298,0.0003525935,0.8843572,0.000033029144,0.000022866701,0.000026648011,0.000064859574,0.00011218285,0.00021284845,0.07742622,0.03561563,0.0002466182],"about_ca_topic_score_codex":0.000024850795,"about_ca_topic_score_gemma":0.000016689542,"teacher_disagreement_score":0.06908101,"about_ca_system_score_codex":0.00018386975,"about_ca_system_score_gemma":0.000022139477,"threshold_uncertainty_score":0.47908288},"labels":[],"label_agreement":null},{"id":"W2531621321","doi":"10.2166/wpt.2015.094","title":"Water user survey on expectations of service in Guelph, ON, Canada","year":2015,"lang":"en","type":"article","venue":"Water Practice & Technology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Openness to experience; Water conservation; Water utility; Environmental economics; Service (business); Scarcity; Water quality; Marketing; Quality (philosophy); Environmental resource management; Environmental planning; Water resources; Water supply; Environmental science; Environmental engineering; Psychology; Economics","score_opus":0.09620298428974614,"score_gpt":0.23916964765590695,"score_spread":0.14296666336616082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531621321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97736067,0.000057463156,0.00004056785,0.01589768,0.00023380986,0.00014161722,0.000047863905,0.00001845783,0.006201895],"genre_scores_gemma":[0.9981998,0.000014685424,0.0001704255,0.0011062502,0.000012651848,0.00003081404,0.00008927056,0.000016740552,0.00035936513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989498,0.000039132003,0.00044733522,0.0002889244,0.00003756913,0.00023724216],"domain_scores_gemma":[0.99937004,0.00007205716,0.00014496595,0.00034366242,0.00003206478,0.000037237227],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006432112,0.00010808698,0.0002305239,0.00026323137,0.000029244415,0.000010285872,0.00018429068,0.00013029834,0.00016676103],"category_scores_gemma":[0.00020992917,0.000094065144,0.00001565121,0.000122060825,0.000032990345,0.00022752113,0.00006900922,0.0001769397,0.0013980882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030936304,0.0008866542,0.931317,0.00002404773,0.00014728121,0.000030374826,0.0045864927,0.009391314,0.0008334506,0.043634284,0.008250665,0.0005890872],"study_design_scores_gemma":[0.0053933994,0.0011392965,0.5335617,0.0000403327,0.000032887103,0.00003438783,0.010550285,0.0011829063,0.10652607,0.035678804,0.3045143,0.0013456215],"about_ca_topic_score_codex":0.26688576,"about_ca_topic_score_gemma":0.27917686,"teacher_disagreement_score":0.39775527,"about_ca_system_score_codex":0.00038090243,"about_ca_system_score_gemma":0.000029699868,"threshold_uncertainty_score":0.99937946},"labels":[],"label_agreement":null},{"id":"W2534478401","doi":"10.1002/hec.3444","title":"Transforming Latent Utilities to Health Utilities: East Does Not Meet West","year":2016,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; St. Joseph’s Healthcare Hamilton; Hospital for Sick Children; SickKids Foundation; University of Toronto; McMaster University; Centre for Advancing Health Outcomes","funders":"Canadian Institutes of Health Research","keywords":"Pairwise comparison; Time-trade-off; Preference elicitation; Transformation (genetics); Valuation (finance); Function (biology); Econometrics; Scale (ratio); Computer science; Economics; Preference; Quality of life (healthcare); Microeconomics; Medicine; Geography; Artificial intelligence","score_opus":0.14373127903694585,"score_gpt":0.25420800695427226,"score_spread":0.1104767279173264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534478401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9221563,0.0009907143,0.0033970468,0.06344972,0.0014789462,0.0010465805,0.0023076842,0.00010240943,0.0050706263],"genre_scores_gemma":[0.98153305,0.003930085,0.0008464467,0.009909374,0.00022355476,0.000119301156,0.00003344051,0.000062900115,0.003341849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.996726,0.000034990884,0.0016141915,0.0007475825,0.000030558498,0.0008466739],"domain_scores_gemma":[0.99834776,0.00008660873,0.0005536101,0.00049638527,0.000009079516,0.000506539],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00141905,0.00029495888,0.00077673886,0.00024129794,0.00030562398,0.00006517379,0.00026778269,0.0001094948,0.0014433139],"category_scores_gemma":[0.000032160195,0.00026667555,0.00016446663,0.00005887543,0.000098290846,0.0005335101,0.00007001349,0.000097457814,0.0023040944],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017277214,0.0002870354,0.22318827,0.0005141957,0.00015259672,0.0000010301443,0.014817212,0.0005146373,0.000020063768,0.650398,0.004892836,0.10504136],"study_design_scores_gemma":[0.004411882,0.0012813215,0.23820919,0.0003429253,0.000009740578,0.000020318077,0.0050145285,0.0019966837,0.0004730682,0.04639128,0.69984305,0.002006004],"about_ca_topic_score_codex":0.0013838956,"about_ca_topic_score_gemma":0.0017719,"teacher_disagreement_score":0.6949502,"about_ca_system_score_codex":0.0017628662,"about_ca_system_score_gemma":0.00017280427,"threshold_uncertainty_score":0.99997854},"labels":[],"label_agreement":null},{"id":"W2541843619","doi":"","title":"The Regional Integration of Protected Areas: A Study of Canada's National Parks","year":2008,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Department of Environment and Conservation, Government of Newfoundland and Labrador; Nature Conservancy of Canada; University of Waterloo; Strong; Department of Natural Resources, Government of Newfoundland and Labrador; United Nations Educational, Scientific and Cultural Organization","keywords":"Regional science; Geography; Environmental planning; Environmental protection; Political science; Environmental resource management; Environmental science","score_opus":0.038116484829905775,"score_gpt":0.1817364132944422,"score_spread":0.14361992846453642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541843619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99800843,0.00014253453,0.000008547259,0.00019348586,0.000118469194,0.00041485412,0.000104046616,0.00000380062,0.0010058152],"genre_scores_gemma":[0.94085276,0.0001771305,0.00010216556,0.000004128999,0.0000128575475,0.000002453914,0.00032582605,0.000010035723,0.058512617],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99921113,0.000025669664,0.00032644396,0.00021413215,0.000117981224,0.00010463408],"domain_scores_gemma":[0.9986849,0.000038909762,0.0009827063,0.00016803673,0.000097501856,0.000027978193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021955177,0.000117106036,0.00032201712,0.00013898434,0.00016629932,0.0000042726756,0.00022450095,0.000110907255,0.00010070499],"category_scores_gemma":[0.000030662588,0.00012976243,0.000081457016,0.00009720985,0.00006832204,0.00009912425,0.000021633017,0.00011920201,0.0000052566816],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026605218,0.003458003,0.20599104,0.0008080466,0.0032307021,0.000018924946,0.69726086,0.0053210002,0.0023913851,0.036947794,0.035648745,0.0062629804],"study_design_scores_gemma":[0.0012276327,0.00029353748,0.82136506,0.00007560957,0.000036953632,0.000001312076,0.17270371,0.0013136256,0.00034117122,0.0017087669,0.00066826213,0.00026436252],"about_ca_topic_score_codex":0.6516261,"about_ca_topic_score_gemma":0.8646059,"teacher_disagreement_score":0.615374,"about_ca_system_score_codex":0.0002598426,"about_ca_system_score_gemma":0.00016556456,"threshold_uncertainty_score":0.5291558},"labels":[],"label_agreement":null},{"id":"W2542638586","doi":"10.3390/econometrics4040042","title":"Social Networks and Choice Set Formation in Discrete Choice Models","year":2016,"lang":"en","type":"article","venue":"Econometrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"","keywords":"Choice set; Discrete choice; Set (abstract data type); Consumer choice; Social choice theory; Choice modelling; Econometrics; Computer science; Economics; Microeconomics; Mathematics","score_opus":0.15340921464175142,"score_gpt":0.23850560542046864,"score_spread":0.08509639077871722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542638586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93360955,0.0012806614,0.05166745,0.0010595496,0.00021778348,0.0002492782,0.000109718596,0.000029466348,0.01177656],"genre_scores_gemma":[0.99785465,0.0008181971,0.00016775102,0.00019974771,0.00016774336,0.000034864475,0.000029602554,0.000022655202,0.00070478796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986473,0.000015477879,0.000631772,0.0003789557,0.000022781882,0.0003037421],"domain_scores_gemma":[0.9992482,0.00018265874,0.00032723346,0.00016146412,0.0000055314654,0.00007488529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005232406,0.00015048917,0.00030825823,0.0005487405,0.000096868214,0.00006366831,0.00013873239,0.00013884508,0.00024662193],"category_scores_gemma":[0.000105732994,0.00015465256,0.00006109066,0.00033843194,0.000058610894,0.0014809046,0.000085224245,0.00009512057,0.00025746797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008618131,0.00004392865,0.8980618,0.000020489877,0.000025748242,6.7840836e-7,0.00029621067,0.0032564348,0.000004883903,0.08368063,0.0009507669,0.013649801],"study_design_scores_gemma":[0.0016198612,0.000046807098,0.84167856,0.000012025871,0.000005145118,0.0000025904355,0.0000528403,0.11126034,0.00001092056,0.03487672,0.010025828,0.0004083564],"about_ca_topic_score_codex":0.0001459138,"about_ca_topic_score_gemma":0.00009107063,"teacher_disagreement_score":0.10800391,"about_ca_system_score_codex":0.00039012497,"about_ca_system_score_gemma":0.00000374116,"threshold_uncertainty_score":0.6306549},"labels":[],"label_agreement":null},{"id":"W2544103630","doi":"10.1111/cjag.12122","title":"An Experimental Approach to the Investment Timing of Conventional and Organic Hog Farmers","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Organic farming; Investment (military); Agricultural science; Production (economics); European union; Organic production; Economics; Agriculture; Welfare economics; Business; Agricultural economics; Microeconomics; Political science; Environmental science; Geography; Economic policy","score_opus":0.06847786707503267,"score_gpt":0.17189434639626738,"score_spread":0.10341647932123471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544103630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935234,0.0005958376,0.00013798336,0.0022912987,0.00060910586,0.00026426706,0.00026127024,0.0000032252933,0.0023136185],"genre_scores_gemma":[0.99813634,0.000064079926,0.0005344505,0.0005687911,0.00027520192,0.00001592355,0.000021708534,0.00002221866,0.00036128095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981232,0.00002603966,0.0010292926,0.00037242493,0.000008518543,0.00044047588],"domain_scores_gemma":[0.9979013,0.00004610898,0.00079483056,0.00024260762,0.000035572783,0.0009795546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058672816,0.00022547597,0.0004999566,0.0002523848,0.00017124221,0.00007714837,0.00044329904,0.00009315748,0.00066563935],"category_scores_gemma":[0.000037843183,0.00016711833,0.00015771817,0.0000689647,0.00018019098,0.00063418085,0.000030409603,0.00010806136,0.000085987485],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011182387,0.0002559918,0.22965543,0.00007234587,0.00093612715,0.000011003346,0.011725019,0.0074614584,0.0051279026,0.73373634,0.0077834628,0.0031230927],"study_design_scores_gemma":[0.0030235401,0.0013884989,0.94344944,0.000100929195,0.000074042284,0.0005871991,0.011351143,0.0005126399,0.001983018,0.008789069,0.027526088,0.0012143678],"about_ca_topic_score_codex":0.0049576447,"about_ca_topic_score_gemma":0.039925188,"teacher_disagreement_score":0.7249473,"about_ca_system_score_codex":0.0015256944,"about_ca_system_score_gemma":0.00014752493,"threshold_uncertainty_score":0.97759366},"labels":[],"label_agreement":null},{"id":"W2546256960","doi":"10.1016/j.jval.2016.09.778","title":"Good Enough For Policy Work? Study-Design Challenges In Implementing Stated-Preference Methods For Complex Health-Care Technologies","year":2016,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Alberta Bone and Joint Health Institute","funders":"","keywords":"Respondent; Watchful waiting; Preference; Health care; Medicine; Valuation (finance); Actuarial science; Psychological intervention; Population; Sample (material); Contingent valuation; Willingness to pay; Family medicine; Nursing; Economics; Environmental health; Microeconomics","score_opus":0.6192934447782598,"score_gpt":0.4108913785004863,"score_spread":0.20840206627777347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546256960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2048528,0.060505576,0.578344,0.13373579,0.0006792657,0.01924385,0.0011867698,0.00040507296,0.0010468623],"genre_scores_gemma":[0.8729281,0.0059145074,0.11997577,0.0001773542,0.000041934803,0.0008751207,0.000020081117,0.000034251203,0.000032874228],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972218,0.00018607352,0.0012243966,0.00061052694,0.000026566764,0.0007306207],"domain_scores_gemma":[0.9983592,0.0006307175,0.00061051705,0.000331617,0.000011732125,0.00005622548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046393755,0.00018310998,0.000596019,0.00045388736,0.0001457322,0.00002077746,0.0002560988,0.00008821599,0.000015558082],"category_scores_gemma":[0.00028361363,0.00018225111,0.00006032866,0.00019624569,0.000040279752,0.00016067375,0.00009816602,0.00009396654,0.0000161986],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008044718,0.00029541625,0.09677422,0.00041922153,0.0000293573,1.6025271e-7,0.008855773,0.0013457058,0.000009798553,0.14177655,0.00014028169,0.75027305],"study_design_scores_gemma":[0.012017428,0.004834818,0.51582456,0.00051812286,0.0000066894095,0.0000015134932,0.03226673,0.009233531,0.00013109295,0.34004727,0.083932325,0.0011859576],"about_ca_topic_score_codex":0.0020198722,"about_ca_topic_score_gemma":0.00029789627,"teacher_disagreement_score":0.7490871,"about_ca_system_score_codex":0.0015881008,"about_ca_system_score_gemma":0.0001296537,"threshold_uncertainty_score":0.7431985},"labels":[],"label_agreement":null},{"id":"W2546792435","doi":"10.1016/j.biocon.2016.10.039","title":"Optimizing land use decision-making to sustain Brazilian agricultural profits, biodiversity and ecosystem services","year":2016,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nature Conservancy of Canada; 3M Foundation; Nature Conservancy; Dow Chemical Company","keywords":"Ecosystem services; Sustainability; Biodiversity; Business; Agriculture; Land use; Environmental resource management; Landscape planning; Profit (economics); Habitat; Agricultural productivity; Natural resource economics; Ecosystem; Ecology; Environmental science; Economics","score_opus":0.0854526160154626,"score_gpt":0.21777752187927588,"score_spread":0.1323249058638133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546792435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99583244,0.00008840401,0.0020446945,0.0013915006,0.00008622911,0.0002551681,0.00015385538,0.000031521544,0.00011619438],"genre_scores_gemma":[0.9965344,0.0000802693,0.0026174125,0.000649311,0.00002767248,0.000009011014,0.000023373626,0.0000029051823,0.000055666067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999195,0.000021805072,0.00028282538,0.00032763422,0.000019501284,0.00015326924],"domain_scores_gemma":[0.9994775,0.00019485418,0.00015182326,0.000099072386,0.000016545024,0.000060228704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003086979,0.000100388024,0.00017185937,0.000057948917,0.00012800065,0.000073423456,0.0000888613,0.000100297766,0.00011384391],"category_scores_gemma":[0.00012571676,0.0000689009,0.000033069755,0.000067648536,0.00002361739,0.00040039426,0.000100747224,0.0000306566,0.000320457],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024263038,0.000010422587,0.99572283,0.00000723495,0.000008498568,5.51151e-7,0.0000979851,0.000017593251,0.00020383956,0.0022472613,0.00014261017,0.0015168813],"study_design_scores_gemma":[0.00027104327,0.000063006264,0.9950983,0.000039250463,0.0000021944156,0.000001704015,0.00015744477,0.00019686476,0.000032063963,0.0012465117,0.0027484754,0.00014315177],"about_ca_topic_score_codex":0.00009122815,"about_ca_topic_score_gemma":0.00012269977,"teacher_disagreement_score":0.0026058652,"about_ca_system_score_codex":0.00014000185,"about_ca_system_score_gemma":0.0000030679125,"threshold_uncertainty_score":0.41189334},"labels":[],"label_agreement":null},{"id":"W2547132872","doi":"10.1142/s2382624x16500326","title":"Valuing a Logging Externality: Loss of the Water Purification Service of Temperate Coastal Rainforests","year":2016,"lang":"en","type":"article","venue":"Water Economics and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Mitacs","keywords":"Logging; Environmental science; Ecosystem services; Turbidity; Externality; Watershed; Sedimentation; Business; Environmental resource management; Natural resource economics; Ecosystem; Ecology; Economics; Computer science; Forestry; Sediment; Geography","score_opus":0.04551774959994418,"score_gpt":0.21485741331979133,"score_spread":0.16933966371984716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547132872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99326175,0.000031850974,0.00017956374,0.0051094773,0.00011368123,0.00013049107,0.00014388909,0.000004405941,0.0010248828],"genre_scores_gemma":[0.9983675,0.00035942122,0.000046392248,0.0003210953,0.00008863984,0.000009314484,0.000011629118,0.00001583841,0.00078017433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989423,0.000014640537,0.00060415344,0.00021533054,0.000013674051,0.00020987896],"domain_scores_gemma":[0.9994163,0.000015954747,0.00023407296,0.00028003627,0.000010939376,0.00004268969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046066276,0.00011312938,0.00024822756,0.00009954501,0.00006371753,0.000024772047,0.00016685828,0.000063112326,0.00012181517],"category_scores_gemma":[0.0000072827806,0.00006117124,0.000073282456,0.000023495799,0.000109059554,0.00024805896,0.0001470613,0.0000366078,0.00011347827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051663435,0.00006524347,0.8410192,0.00013579326,0.00013190879,2.0044688e-7,0.005130038,0.0011495709,0.016644524,0.13166939,0.000025840845,0.003976621],"study_design_scores_gemma":[0.0028255493,0.00010485288,0.6217221,0.00009519354,0.000027494856,0.000022273285,0.00016081311,0.0043632337,0.19370697,0.15459193,0.021752957,0.0006266413],"about_ca_topic_score_codex":0.0009820904,"about_ca_topic_score_gemma":0.000082097555,"teacher_disagreement_score":0.21929713,"about_ca_system_score_codex":0.0000665394,"about_ca_system_score_gemma":0.0000114318245,"threshold_uncertainty_score":0.24944907},"labels":[],"label_agreement":null},{"id":"W2548657668","doi":"10.3138/cpp.2015-021","title":"Helping Markets Get Prices Right: Natural Capital, Ecosystem Services, and Sustainability","year":2016,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Alberta","funders":"","keywords":"Natural capital; Ecosystem services; Ecosystem valuation; Natural resource economics; Natural resource; Sustainability; Business; Greenhouse gas; Environmental resource management; Goods and services; Scarcity; Water scarcity; Ecosystem; Environmental planning; Water resources; Environmental science; Economics; Ecosystem health; Ecology; Economy","score_opus":0.01978571369559323,"score_gpt":0.19193252265795838,"score_spread":0.17214680896236514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548657668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97119784,0.0013360785,0.000045009183,0.016529165,0.00021373866,0.00023559459,0.0003994114,0.000025605234,0.010017542],"genre_scores_gemma":[0.9969949,0.00015662776,0.00003325679,0.000940673,0.00020010429,0.000027624164,0.000024806319,0.00001993747,0.0016020868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986098,0.000020103098,0.00036947388,0.00041600078,0.000024173893,0.0005604492],"domain_scores_gemma":[0.9989697,0.000035301895,0.0001769829,0.00030589115,0.000020750958,0.00049137254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005080008,0.00015286163,0.00023091794,0.00048077627,0.00020204767,0.00015050788,0.00021832585,0.00010361201,0.000566238],"category_scores_gemma":[0.00010915747,0.00014465355,0.000050568146,0.0001360265,0.000070949354,0.000787718,0.000059736612,0.00006837948,0.0003436935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025545553,0.000013239118,0.5227753,0.000109892586,0.00004545759,0.0000041997296,0.0003374729,9.4314726e-7,0.0000033923438,0.46775517,0.0008041902,0.0081482],"study_design_scores_gemma":[0.0004531976,0.000015921463,0.73873675,0.000015485482,0.0000026512696,0.000014991623,0.00018050356,0.00040652012,0.000006200678,0.036361143,0.22349724,0.00030936496],"about_ca_topic_score_codex":0.076067604,"about_ca_topic_score_gemma":0.15364257,"teacher_disagreement_score":0.431394,"about_ca_system_score_codex":0.0024162955,"about_ca_system_score_gemma":0.0003599321,"threshold_uncertainty_score":0.93008494},"labels":[],"label_agreement":null},{"id":"W2550134544","doi":"10.3389/fpsyg.2017.00045","title":"Cultural Differences in Opportunity Cost Consideration","year":2017,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology","score_opus":0.24188438078348612,"score_gpt":0.3104730641503362,"score_spread":0.06858868336685009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550134544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428597,0.00045582556,0.004098741,0.0021592036,0.0022047358,0.0001957649,0.000022996266,0.0000072579905,0.04799579],"genre_scores_gemma":[0.996765,0.0006505981,0.0016101653,0.00061248423,0.00003632225,0.000033745382,0.000018635057,0.0000060081757,0.0002670293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991408,0.000021177504,0.0003624941,0.0002846158,0.000011402474,0.00017948974],"domain_scores_gemma":[0.99940205,0.000008832187,0.0002483441,0.00029573773,0.0000026823675,0.000042356456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003729363,0.00008203251,0.00025485904,0.00013109749,0.00009641129,0.000049880113,0.00019383906,0.00011145443,0.00036870196],"category_scores_gemma":[0.00010254737,0.00009647261,0.000028925027,0.000022172859,0.00015940279,0.0003185444,0.000030135663,0.00012842438,0.00014116113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009450487,0.00004557996,0.9831955,0.0000019189931,0.0000057598427,0.0000030037763,0.00015540073,0.000003572312,0.0000028501815,0.005207673,0.0056800423,0.005689291],"study_design_scores_gemma":[0.0007540117,0.000020954387,0.9214492,0.0000046359214,7.5099746e-7,0.0000017996363,0.00014013282,0.0008747273,0.0000033234671,0.07373787,0.0029079353,0.000104679886],"about_ca_topic_score_codex":0.00018654033,"about_ca_topic_score_gemma":0.00016433658,"teacher_disagreement_score":0.068530194,"about_ca_system_score_codex":0.00009777918,"about_ca_system_score_gemma":0.000005851527,"threshold_uncertainty_score":0.4037028},"labels":[],"label_agreement":null},{"id":"W2551482732","doi":"10.1016/j.wre.2016.11.003","title":"Analysis of the impact of water quality changes on residential property prices","year":2016,"lang":"en","type":"article","venue":"Water Resources and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Water Research Institute","keywords":"Heteroscedasticity; Quality (philosophy); Water quality; Revealed preference; Econometrics; Preference; Function (biology); Environmental economics; Linkage (software); Economics; Property value; Microeconomics; Real estate","score_opus":0.07810235816012397,"score_gpt":0.232586663797209,"score_spread":0.15448430563708504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551482732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973735,0.000059104732,0.000016679378,0.0005769171,0.000056916862,0.00011668571,0.00016495261,0.000004048585,0.0016311521],"genre_scores_gemma":[0.99859864,0.00023696966,0.0000110205565,0.0000405436,0.000035122768,0.0000068890995,0.00000947161,0.000010760283,0.001050612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989839,0.00002125745,0.00051969045,0.00027295027,0.000017375372,0.00018482475],"domain_scores_gemma":[0.9993294,0.000024967741,0.00028057746,0.0003212365,0.0000060549537,0.00003777234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005563237,0.00011748794,0.00041828945,0.00016304379,0.00006107512,0.000023557863,0.00017153112,0.00006557134,0.00051408936],"category_scores_gemma":[0.000008506648,0.000047106172,0.00023083988,0.00003761703,0.00013026723,0.00009333601,0.00012306945,0.000034283978,0.00004546805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007957659,0.000058474798,0.98948824,0.000017384233,0.0007240202,5.4759212e-8,0.0031095955,0.001992056,0.0021882693,0.0008539999,0.00001971999,0.0014686086],"study_design_scores_gemma":[0.00047509233,0.00013897063,0.97730863,0.000010710987,0.00006448106,3.7214036e-7,0.000091137386,0.0007115263,0.016901687,0.0020482023,0.0020790843,0.00017012395],"about_ca_topic_score_codex":0.0017449646,"about_ca_topic_score_gemma":0.00025463433,"teacher_disagreement_score":0.014713417,"about_ca_system_score_codex":0.00008358991,"about_ca_system_score_gemma":0.0000021491269,"threshold_uncertainty_score":0.56289184},"labels":[],"label_agreement":null},{"id":"W2551557769","doi":"10.32920/ryerson.14656083.v1","title":"Valuing protected areas through contingent valuation : a case study of Chitwan National Park, Nepal","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"European Environment Agency; United Nations Educational, Scientific and Cultural Organization; World Wildlife Fund","keywords":"National park; Contingent valuation; World heritage; Willingness to pay; Tourism; Valuation (finance); Protected area; Geography; Socioeconomics; Value (mathematics); Business; Environmental resource management; Economic growth; Economics; Finance","score_opus":0.24456639642079092,"score_gpt":0.2779697626799596,"score_spread":0.033403366259168676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551557769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98149776,0.00042053004,0.007894087,0.00008538393,0.00048329905,0.0017244421,0.000089098074,0.000038045837,0.0077673243],"genre_scores_gemma":[0.99491084,0.00004883289,0.0039206143,0.000070006055,0.0001325749,0.000374247,0.0002325384,0.00003614884,0.00027422252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973573,0.00009204175,0.0013732825,0.0008289896,0.00013633989,0.00021201048],"domain_scores_gemma":[0.99819,0.000056762266,0.0011825337,0.0004269777,0.00009268047,0.000051077343],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012518108,0.00028537324,0.00067508884,0.00017172635,0.00012141841,0.00010485267,0.00018056498,0.00023129839,0.0011086138],"category_scores_gemma":[0.00018339409,0.0003567195,0.0001935214,0.00011966101,0.0000391047,0.00023326775,0.00041288705,0.00034048618,0.00006045925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059692986,0.004801035,0.82904106,0.00043038052,0.001882629,0.00017823934,0.042503674,0.10225148,0.00010844361,0.015653381,0.00028928986,0.0028007035],"study_design_scores_gemma":[0.0069370447,0.00073689164,0.69024384,0.00024150957,0.00026043458,0.00033681036,0.04579185,0.19653198,0.0005063181,0.056004908,0.0003336891,0.00207475],"about_ca_topic_score_codex":0.0049570957,"about_ca_topic_score_gemma":0.0006200026,"teacher_disagreement_score":0.13879724,"about_ca_system_score_codex":0.00044216536,"about_ca_system_score_gemma":0.000093854316,"threshold_uncertainty_score":0.9998885},"labels":[],"label_agreement":null},{"id":"W2552369576","doi":"10.3141/2542-08","title":"Development of an Employer-Based Transportation Demand Management Strategy Evaluation Tool with an Advanced Discrete Choice Model in Its Core","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Software deployment; Operations research; Discrete choice; Computer science; Population; Core (optical fiber); Engineering; Machine learning; Telecommunications","score_opus":0.2740318321939529,"score_gpt":0.3741755956431732,"score_spread":0.10014376344922032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552369576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98418814,0.00011407253,0.0135164615,0.00031638466,0.00008500932,0.0014695888,0.00017423018,0.000011946538,0.00012419408],"genre_scores_gemma":[0.9859339,0.00026607534,0.013230536,0.000017101991,0.00002810128,0.00021534662,0.000110629924,0.000052955806,0.00014534814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99521804,0.0003053771,0.002115599,0.0005828136,0.0011898467,0.0005883364],"domain_scores_gemma":[0.9975329,0.00020290108,0.0008866796,0.00044999862,0.00069951557,0.00022802847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061252024,0.00025327323,0.00049341534,0.0009863351,0.00026055603,0.000050248334,0.00065105327,0.00015021123,0.00033833616],"category_scores_gemma":[0.000041525105,0.00019240356,0.00014927401,0.0007940871,0.00024907966,0.0017229427,0.0000029744072,0.0005275424,0.000016272075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003248102,0.0009447739,0.6884313,0.0003896115,0.00019280615,0.000021780912,0.0037799494,0.24766903,0.004496411,0.011354034,0.000048057787,0.0394241],"study_design_scores_gemma":[0.004818674,0.0008020291,0.972065,0.00034802034,0.000033234006,9.826902e-8,0.001072839,0.012246733,0.0018647334,0.0063024056,0.00018707833,0.00025915302],"about_ca_topic_score_codex":0.0007857936,"about_ca_topic_score_gemma":0.042697467,"teacher_disagreement_score":0.28363365,"about_ca_system_score_codex":0.00063870166,"about_ca_system_score_gemma":0.00039805795,"threshold_uncertainty_score":0.9747708},"labels":[],"label_agreement":null},{"id":"W2555891983","doi":"","title":"FROM FREE TO PRICED INFRASTRUCTURE: U.S. ROADS AND THE INVESTMENT PUBLIC-PRIVATE PARTNERSHIP","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lease; Finance; Business; Revenue; Toll; Investment (military); Sovereign wealth fund; Dividend; Economics; Alternative investment; Microeconomics; Market liquidity; Incentive","score_opus":0.058399741291995357,"score_gpt":0.19739003138637115,"score_spread":0.1389902900943758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555891983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8929795,0.00017872943,0.0071626226,0.009811231,0.00016804104,0.00027306797,0.000020060981,0.00002681958,0.089379944],"genre_scores_gemma":[0.98853797,0.000041192932,0.0025870753,0.007853277,0.0001453139,0.000042580872,0.000019613974,0.0000131296465,0.0007598405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991026,0.0000284101,0.00034485201,0.00031520476,0.00002644908,0.00018246919],"domain_scores_gemma":[0.9992054,0.00008099244,0.0001362192,0.00045716052,0.0000031672753,0.00011707249],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006580055,0.000116131756,0.00022450509,0.000057308804,0.00008983327,0.000114733724,0.0002544226,0.000058905276,0.0010606329],"category_scores_gemma":[0.00017520184,0.000093308336,0.000042938897,0.00006358235,0.000092661154,0.00017227457,0.00019941214,0.0000724382,0.0006611961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010809854,0.00000970834,0.111971036,0.0000017235583,0.000029798193,4.0558575e-8,0.00053138594,0.000107117696,0.000010523629,0.88066137,0.0054972647,0.0011692083],"study_design_scores_gemma":[0.0014302265,0.00002757998,0.43689275,0.0000015539666,0.0000046513846,3.5867316e-7,0.00006959281,0.004293174,0.00006990613,0.44747114,0.10958253,0.00015655211],"about_ca_topic_score_codex":0.00028157074,"about_ca_topic_score_gemma":0.00004565658,"teacher_disagreement_score":0.43319026,"about_ca_system_score_codex":0.00007761987,"about_ca_system_score_gemma":0.0000037069167,"threshold_uncertainty_score":0.99985254},"labels":[],"label_agreement":null},{"id":"W2556874617","doi":"10.1111/cjag.12128","title":"Heterogeneous Consumer Preferences for Turfgrass Attributes in the United States and Canada","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; United States Golf Association; U.S. Department of Agriculture","keywords":"Preference; Promotion (chess); Marketing; Business; Geography; Advertising; Welfare economics; Economics; Political science","score_opus":0.0668288608285453,"score_gpt":0.16418495799492985,"score_spread":0.09735609716638455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556874617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890948,0.00083837815,0.000024083227,0.007734158,0.0006069113,0.00032020514,0.0012361563,0.0000023251287,0.00014297964],"genre_scores_gemma":[0.9979215,0.00069992687,0.00007058291,0.0008150741,0.00017245409,0.000030663832,0.00009282337,0.000016421714,0.00018051978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979982,0.000029922909,0.0010349005,0.00033393854,0.000006874485,0.0005961711],"domain_scores_gemma":[0.99819237,0.00034600968,0.0007124582,0.00018042242,0.000046429017,0.0005222924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006296776,0.00024273561,0.0005213954,0.0002640711,0.00016301243,0.00011879593,0.00044085656,0.00009951794,0.00016622423],"category_scores_gemma":[0.00011431359,0.00016923311,0.000118588534,0.0000690448,0.00013954713,0.00037845923,0.00001566943,0.00012762395,0.000014865734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047668957,0.000024541063,0.9374587,0.000050097373,0.0003195811,0.000027177348,0.0017489351,0.0069366666,0.00001435703,0.041216422,0.010599516,0.0015563683],"study_design_scores_gemma":[0.0017855308,0.0003315862,0.8850074,0.000067579924,0.00003470489,0.00033995623,0.0024483327,0.00022999127,0.0000599745,0.02209708,0.08694902,0.00064884813],"about_ca_topic_score_codex":0.81195486,"about_ca_topic_score_gemma":0.9972015,"teacher_disagreement_score":0.18524665,"about_ca_system_score_codex":0.0018743869,"about_ca_system_score_gemma":0.00032455358,"threshold_uncertainty_score":0.6901126},"labels":[],"label_agreement":null},{"id":"W2556918191","doi":"10.5751/es-00462-070101","title":"Hof, J. G., and M. Bevers. 2002. Spatial Optimization in Ecological Applications. Columbia University Press, New York, New York, USA","year":2003,"lang":"en","type":"article","venue":"Conservation Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Columbia university; Ecology; Geography; Environmental ethics; Biology; Sociology; Media studies; Philosophy","score_opus":0.08092569313174851,"score_gpt":0.1906590965052696,"score_spread":0.1097334033735211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556918191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8327114,0.0010463219,0.12532604,0.0030411067,0.0005428108,0.0016570197,0.00007766361,0.000066724206,0.035530917],"genre_scores_gemma":[0.9450278,0.0005701564,0.013483345,0.0015528797,0.00008916813,0.000037282178,0.00012685683,0.000023086779,0.039089426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988886,0.00005571819,0.00040983027,0.00041713717,0.000020650185,0.00020804247],"domain_scores_gemma":[0.9993224,0.00009976759,0.0002872507,0.00017141862,0.000010340638,0.000108779794],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002992164,0.00011198894,0.0002598172,0.00009983843,0.000111576075,0.00004335742,0.00011304455,0.00023114496,0.0036132336],"category_scores_gemma":[0.0000893625,0.00017903806,0.000034445082,0.00014378427,0.000091445305,0.00022804504,0.000036314894,0.000117251984,0.00024013656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012645235,0.00008869202,0.9339277,0.000005385318,0.000015097898,9.370547e-7,0.000072898656,0.0077224365,0.000002413791,0.033221904,0.024267614,0.00066224096],"study_design_scores_gemma":[0.0013840655,0.00006254339,0.782674,0.0000019417366,0.000008798403,0.000004210193,0.000055460092,0.01007513,0.000004651964,0.0026701468,0.20287757,0.00018147346],"about_ca_topic_score_codex":0.006015413,"about_ca_topic_score_gemma":0.009237227,"teacher_disagreement_score":0.17860995,"about_ca_system_score_codex":0.0002906691,"about_ca_system_score_gemma":0.00008907307,"threshold_uncertainty_score":0.9972976},"labels":[],"label_agreement":null},{"id":"W2557838896","doi":"10.1016/j.wre.2016.11.004","title":"The effect of risk communication on choice behavior, welfare estimates and choice certainty","year":2016,"lang":"en","type":"article","venue":"Water Resources and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Certainty; Preference; Willingness to pay; Preference elicitation; Welfare; Economics; Discrete choice; Quality (philosophy); Sample (material); Contingent valuation; Actuarial science; Public economics; Econometrics; Psychology; Microeconomics; Mathematics","score_opus":0.024684057464917607,"score_gpt":0.20391202746549744,"score_spread":0.17922797000057983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557838896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971043,0.0008491829,0.000011017186,0.0008666412,0.000060628754,0.00018219321,0.00008870543,0.000010463469,0.00082685665],"genre_scores_gemma":[0.99715364,0.0025242888,0.00004296375,0.000030933905,0.00003011571,0.000036432848,0.000012378828,0.000017798773,0.00015141966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913853,0.000031572297,0.0003823854,0.0002574838,0.000011136954,0.0001788861],"domain_scores_gemma":[0.9989143,0.00044999318,0.00024321875,0.00033631473,0.0000031398897,0.000053012325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058796455,0.00013697562,0.00024915728,0.000048497735,0.00032622844,0.000069325935,0.00015412197,0.00007119212,0.00006776839],"category_scores_gemma":[0.000058207825,0.000081873804,0.000050793245,0.000011437497,0.00018935032,0.00014853294,0.00011655571,0.000069793125,0.00006439724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031139913,0.000011341256,0.9817646,0.000009679871,0.00003072347,4.6383757e-8,0.00035999474,0.000087881555,0.0000212832,0.002423423,0.000018548042,0.015241334],"study_design_scores_gemma":[0.0011373652,0.00023395706,0.93567264,0.00001752046,0.000027393678,0.0000019999597,0.00006962146,0.0010285098,0.0012191241,0.002739091,0.057653077,0.00019969119],"about_ca_topic_score_codex":0.0007100678,"about_ca_topic_score_gemma":0.00014154287,"teacher_disagreement_score":0.05763453,"about_ca_system_score_codex":0.000057331843,"about_ca_system_score_gemma":5.938697e-7,"threshold_uncertainty_score":0.3338717},"labels":[],"label_agreement":null},{"id":"W2559814717","doi":"10.1111/cjag.12129","title":"Sustainable Urban Landscaping: Consumer Preferences and Willingness to Pay for Turfgrass Fertilizers","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Landscaping; Lawn; Willingness to pay; Business; Fertilizer; Ecosystem services; Agricultural science; Economics; Environmental science; Ecosystem; Ecology","score_opus":0.055443043296679956,"score_gpt":0.16800999545892104,"score_spread":0.11256695216224108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559814717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99057984,0.0007195877,0.00018306593,0.0059826802,0.00089367066,0.00048701945,0.00041850956,0.0000075742496,0.0007280295],"genre_scores_gemma":[0.9952626,0.00021812794,0.00034636902,0.0003743464,0.0003725158,0.00004676314,0.000022356484,0.000031807318,0.003325065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748576,0.000016123902,0.0011166274,0.0005112348,0.000006419642,0.00086384977],"domain_scores_gemma":[0.9973837,0.00014644304,0.00075438735,0.00021577132,0.00009238669,0.001407301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065861095,0.0003060957,0.0007206079,0.00033257387,0.0002551599,0.00018535326,0.00039781828,0.00015494555,0.00030849176],"category_scores_gemma":[0.00019080291,0.00022795175,0.00020408501,0.00007868766,0.00010744143,0.000842847,0.000032228232,0.00012258472,0.00009041803],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009955845,0.000022739687,0.8109966,0.00009269697,0.00035598152,0.000012011525,0.002314404,0.0007938944,0.000068113164,0.17244714,0.009931487,0.0028654037],"study_design_scores_gemma":[0.002197438,0.00063834386,0.8110325,0.00010632482,0.000054375592,0.00013392683,0.0032554683,0.000063841275,0.00013935122,0.029941272,0.15149206,0.00094513164],"about_ca_topic_score_codex":0.009807713,"about_ca_topic_score_gemma":0.14637499,"teacher_disagreement_score":0.14250587,"about_ca_system_score_codex":0.0017260457,"about_ca_system_score_gemma":0.00022422074,"threshold_uncertainty_score":0.99678606},"labels":[],"label_agreement":null},{"id":"W2562333591","doi":"10.1080/02755947.2016.1245224","title":"Do Fish Drive Recreational Fishing License Sales?","year":2017,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hatch (Canada); University of Toronto; Ministry of Energy, Northern Development and Mines; Ministry of Natural Resources and Forestry","funders":"Ministry of Natural Resources","keywords":"Fishing; License; Recreational fishing; Fishery; Recreation; Geography; Population; Proxy (statistics); Business; Socioeconomics; Ecology; Demography; Biology; Economics","score_opus":0.05550123730132792,"score_gpt":0.22021414397572459,"score_spread":0.16471290667439667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562333591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96114296,0.00006839632,0.0012738953,0.002718562,0.00040404408,0.000110231296,0.000044430566,0.0000076241763,0.034229875],"genre_scores_gemma":[0.99328995,0.0009484538,0.003930006,0.0006061579,0.0001988587,0.000007656467,0.000015922124,0.000019007695,0.0009840154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988112,0.000016303487,0.0006660629,0.00022436473,0.000078604106,0.0002034713],"domain_scores_gemma":[0.997412,0.000025287198,0.0020316772,0.00039923587,0.000025207111,0.000106572676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044729502,0.00013740998,0.0003704695,0.00012900682,0.00029490038,0.00029369086,0.00047001106,0.00002115151,0.0005019238],"category_scores_gemma":[0.00006295876,0.00015651665,0.00014271897,0.00005048486,0.00024456074,0.0008065711,0.00012776563,0.00014184426,0.00014722279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039044895,0.000049388895,0.9530338,0.000010683572,0.00016901859,0.000018165863,0.00030831675,0.0002422252,2.4947133e-7,0.0027266233,0.005844798,0.037557673],"study_design_scores_gemma":[0.00041721298,0.00017563903,0.93770784,0.00001979071,0.00001930105,0.000008349482,0.00040333736,0.000078184705,0.0000019473023,0.0011234639,0.059885107,0.00015983447],"about_ca_topic_score_codex":0.00007869764,"about_ca_topic_score_gemma":0.00009229156,"teacher_disagreement_score":0.05404031,"about_ca_system_score_codex":0.00019558168,"about_ca_system_score_gemma":0.000009348139,"threshold_uncertainty_score":0.6382564},"labels":[],"label_agreement":null},{"id":"W2564085931","doi":"","title":"A Generic Form for Capturing Unobserved Heterogeneity in Discrete Choice Modelling: Application to Neighborhood Location Choice","year":2016,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Mixed logit; Discrete choice; Latent class model; Econometrics; Context (archaeology); Class (philosophy); Choice modelling; Multinomial distribution; Population; Logit; Random effects model; Computer science; Logistic regression; Statistics; Mathematics; Artificial intelligence; Machine learning; Geography","score_opus":0.10406431911040438,"score_gpt":0.272342465943603,"score_spread":0.16827814683319864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564085931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9501526,0.00033539883,0.030761946,0.0002945078,0.00047511794,0.001858269,0.00009705316,0.00004471139,0.01598042],"genre_scores_gemma":[0.98426414,0.00017272135,0.000112129,0.000015587491,0.00037971156,0.00014184705,0.00040358282,0.00007599864,0.0144342985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99725497,0.000077942525,0.00065423077,0.0011754478,0.00013570524,0.00070168765],"domain_scores_gemma":[0.9983567,0.00020119839,0.00045920443,0.0006542606,0.000083491126,0.0002451471],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007286597,0.00031849687,0.0005196806,0.0011832839,0.0004270551,0.00010853221,0.00062974216,0.00037257237,0.000022257558],"category_scores_gemma":[0.0000830885,0.0004062031,0.00020058508,0.00065876136,0.000057846984,0.00055886444,0.000106378815,0.00038469932,0.00016327137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006577906,0.00028324864,0.9398461,0.00060856435,0.0002816566,0.000012033638,0.0009630856,0.0190261,0.0031879572,0.03309706,0.00016263509,0.0018737529],"study_design_scores_gemma":[0.0025038666,0.00043069522,0.9120988,0.00021976598,0.00004787034,0.0000020694235,0.000584591,0.04184477,0.008515943,0.0092967115,0.0232113,0.0012436031],"about_ca_topic_score_codex":0.019826116,"about_ca_topic_score_gemma":0.024938226,"teacher_disagreement_score":0.03411155,"about_ca_system_score_codex":0.00278201,"about_ca_system_score_gemma":0.00016745602,"threshold_uncertainty_score":0.999839},"labels":[],"label_agreement":null},{"id":"W2565498677","doi":"10.1111/rec.12478","title":"Reclamation and habitat‐disturbance effects on landbird abundance and productivity indices in the oil sands region of northeastern Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cumulative Environmental Management Association","funders":"Syncrude; Canadian Natural Resources Limited; Cenovus Energy; Devon Energy Corporation","keywords":"Habitat; Ecology; Land reclamation; Productivity; Abundance (ecology); Ecological succession; Geography; Environmental science; Biology","score_opus":0.025383985115918987,"score_gpt":0.18598557561312387,"score_spread":0.16060159049720488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565498677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949323,0.00020435438,0.00006324315,0.003725157,0.00012937495,0.000114775336,0.0000064126307,0.0000021120966,0.00082229904],"genre_scores_gemma":[0.9993187,0.00015007869,0.000016250988,0.00015524456,0.000035506353,0.000032747274,0.0000053986187,0.000004635373,0.00028143547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994105,0.000055679997,0.00022605128,0.00020115805,0.000021244856,0.000085369655],"domain_scores_gemma":[0.9993517,0.00025866184,0.0002477969,0.0001208244,0.000005011515,0.000016001979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030387632,0.000064847096,0.0001481983,0.000053748907,0.000047878762,0.0000082759225,0.000047099413,0.000047600683,0.0000052114656],"category_scores_gemma":[0.00012426727,0.000050311293,0.000008517123,0.000043049262,0.000054990072,0.00017505052,0.000008991284,0.000041759376,0.000007377342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020880221,0.000019629273,0.98992366,0.000028323007,0.000004500673,6.293956e-7,0.0003804248,0.000028634679,0.0000255325,0.004087389,0.00010146125,0.0053789173],"study_design_scores_gemma":[0.00041837074,0.000106889056,0.996845,0.000017852595,0.0000018679177,0.0000036806157,0.000029642215,0.00013365707,0.0000772668,0.0012305127,0.0010733035,0.00006197285],"about_ca_topic_score_codex":0.02413599,"about_ca_topic_score_gemma":0.55317694,"teacher_disagreement_score":0.52904093,"about_ca_system_score_codex":0.00012915028,"about_ca_system_score_gemma":0.000019727378,"threshold_uncertainty_score":0.9823624},"labels":[],"label_agreement":null},{"id":"W2568836879","doi":"10.1007/s10683-016-9506-z","title":"External and internal consistency of choices made in convex time budgets","year":2017,"lang":"en","type":"article","venue":"Experimental Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Monotonic function; Consistency (knowledge bases); Preference; Pairwise comparison; Axiom; Regular polygon; Mathematics; Econometrics; Mathematical economics; Economics; Statistics; Discrete mathematics","score_opus":0.05784369073497475,"score_gpt":0.24075311172378572,"score_spread":0.18290942098881097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568836879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95619386,0.0018894873,0.000022958307,0.00009518456,0.00027956246,0.00013562702,0.000052544132,0.000005912494,0.041324865],"genre_scores_gemma":[0.9976369,0.00032209433,0.00056920643,0.00010010673,0.00005775795,0.000016094613,0.0000064464075,0.000018409117,0.0012729791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884206,0.000007545011,0.0006166719,0.00034442864,0.000012558044,0.00017674007],"domain_scores_gemma":[0.99898994,0.000017864397,0.0005959204,0.00032600464,0.0000026101857,0.00006766357],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002621104,0.0001426603,0.00039448554,0.00009540298,0.000102800426,0.000087393826,0.00026546433,0.00007613549,0.000915862],"category_scores_gemma":[0.000018820325,0.00018796214,0.0000682311,0.0000078032845,0.00027060817,0.0005284413,0.00018615018,0.00007958647,0.0003516993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003896437,0.00017749802,0.9438749,0.000015267427,0.000046013858,0.0000026157013,0.0007050655,0.00005521028,0.0044948948,0.049527828,0.000056145018,0.0010055789],"study_design_scores_gemma":[0.0019057731,0.00012156442,0.9668823,0.000031831816,0.0000033407837,0.000012293639,0.0002423735,0.005229885,0.01706939,0.0072506876,0.0009300519,0.00032053818],"about_ca_topic_score_codex":0.00056675746,"about_ca_topic_score_gemma":0.000024816638,"teacher_disagreement_score":0.042277142,"about_ca_system_score_codex":0.00016440902,"about_ca_system_score_gemma":0.000008777207,"threshold_uncertainty_score":0.99999744},"labels":[],"label_agreement":null},{"id":"W2570866044","doi":"10.1017/s0030605316001058","title":"Social preferences for adaptation measures to conserve Australian birds threatened by climate change","year":2017,"lang":"en","type":"article","venue":"Oryx","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"Charles Darwin University","keywords":"Mandate; Threatened species; Adaptation (eye); Extinction (optical mineralogy); Biodiversity; Climate change; Colonization; Environmental resource management; Geography; Political science; Ecology; Environmental planning; Biology; Habitat; Economics","score_opus":0.45848520485477523,"score_gpt":0.3059084137027719,"score_spread":0.15257679115200334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570866044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869725,0.00012662656,0.00064199895,0.0039047166,0.00029252065,0.00052464637,0.000601544,0.000024480472,0.006910961],"genre_scores_gemma":[0.9978757,0.00010009777,0.00040056484,0.00021584741,0.0001469292,0.00021756296,0.00005758828,0.000015303587,0.00097043515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993056,0.000006283804,0.00022717925,0.00024593264,0.00002043855,0.00019457248],"domain_scores_gemma":[0.9995177,0.0000110280425,0.00024972207,0.0001642776,0.000008774751,0.00004854537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033341322,0.00009211222,0.00017845027,0.000039336905,0.0003955452,0.000117152114,0.00016744866,0.00007347761,0.00015919571],"category_scores_gemma":[0.000031870608,0.00010782126,0.000058037887,0.000013341842,0.000042925174,0.00030126044,0.000032473632,0.00003173797,0.0004761717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012062613,0.00011720563,0.87825197,0.000060691986,0.00009397645,4.0978603e-7,0.004708599,0.000041088617,0.00028153558,0.061197102,0.018179597,0.036947202],"study_design_scores_gemma":[0.0008169349,0.00014641783,0.94943005,0.000011818505,0.000012860212,2.69403e-7,0.00033195296,0.00044966984,0.0005076097,0.019311702,0.028685445,0.00029526383],"about_ca_topic_score_codex":0.0004274467,"about_ca_topic_score_gemma":0.00026750387,"teacher_disagreement_score":0.07117809,"about_ca_system_score_codex":0.00007233744,"about_ca_system_score_gemma":0.000004066303,"threshold_uncertainty_score":0.61203825},"labels":[],"label_agreement":null},{"id":"W2572210990","doi":"10.1177/1937586716686350","title":"Using a Discrete Choice Conjoint Experiment to Engage Stakeholders in the Design of an Outpatient Children’s Health Center","year":2017,"lang":"en","type":"article","venue":"HERD Health Environments Research & Design Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"","keywords":"Conjoint analysis; Resource (disambiguation); Interactive kiosk; Process (computing); Psychology; Computer science; World Wide Web; Preference","score_opus":0.7336623054671956,"score_gpt":0.43957542807775807,"score_spread":0.2940868773894375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572210990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8648364,0.0021956898,0.12451024,0.004518917,0.00022507411,0.003492772,0.00009193134,0.000005116653,0.00012386264],"genre_scores_gemma":[0.9822981,0.0019348543,0.014509629,0.0009551481,0.0000966513,0.00009476083,0.000011561616,0.000043987136,0.000055341203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99500716,0.0018218782,0.0013157174,0.00053143426,0.00034926622,0.0009745504],"domain_scores_gemma":[0.9974119,0.0001548462,0.0010590797,0.00084244955,0.000008034277,0.0005237101],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.016724175,0.00022193343,0.0005187821,0.00033618708,0.001474977,0.00023444819,0.000854229,0.00007896511,0.00028465278],"category_scores_gemma":[0.00017979,0.00020449495,0.00008519697,0.0000736161,0.00021875833,0.0005853407,0.00017498611,0.00084123464,0.000103856866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009879116,0.005764066,0.70701736,0.00018783097,0.0003467683,0.000044621393,0.07205506,0.16174635,0.0010649436,0.0023407866,0.0046313372,0.043812927],"study_design_scores_gemma":[0.003014201,0.0029937518,0.9787123,0.00017760566,0.0000029509097,0.000037240334,0.002743767,0.008304789,0.0001884394,0.0011662246,0.0023160966,0.00034262144],"about_ca_topic_score_codex":0.0014558007,"about_ca_topic_score_gemma":0.00003165444,"teacher_disagreement_score":0.27169493,"about_ca_system_score_codex":0.0021932516,"about_ca_system_score_gemma":0.00015646327,"threshold_uncertainty_score":0.99982494},"labels":[],"label_agreement":null},{"id":"W2572416586","doi":"10.3727/154427316x693199","title":"Examining the Designation Effect of Marine Protected Areas: The Case of Akaroa, New Zealand","year":2016,"lang":"en","type":"article","venue":"Tourism in Marine Environments","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Arctic Institute of North America","keywords":"Tourism; Visitor pattern; Marine protected area; Nature tourism; Geography; Marine conservation; Environmental resource management; Fishery; Marketing; Ecotourism; Business; Ecology; Archaeology; Biology; Habitat","score_opus":0.036080183892628376,"score_gpt":0.19813362964089512,"score_spread":0.16205344574826674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572416586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970255,0.000045180124,0.0006239585,0.00030165038,0.000064447326,0.0005437429,0.000011928535,0.0000043504588,0.0013792424],"genre_scores_gemma":[0.9950736,0.00011986435,0.00026158703,0.000020895572,0.000046126515,0.000056143614,0.00000908219,0.000017375884,0.004395307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989333,0.00008160408,0.00054942694,0.00023600951,0.000040135466,0.00015952776],"domain_scores_gemma":[0.9989153,0.00024195405,0.00044919326,0.0003600587,0.0000012300353,0.000032266256],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010158785,0.00013462172,0.00026001735,0.00008271939,0.00004244246,0.0000071346844,0.0001845789,0.00006625982,0.0011705216],"category_scores_gemma":[0.00009267634,0.000081957296,0.000050116465,0.000072437564,0.000104601226,0.00012834584,0.00019989425,0.00009018641,0.00008501293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004663392,0.00004651669,0.95445514,0.000009463954,0.00003649721,0.000010845147,0.00015679133,0.0002840465,0.00075805566,0.00020484917,0.00016188089,0.04382927],"study_design_scores_gemma":[0.0015341481,0.0001987657,0.98936635,0.000015494972,0.000013617425,0.000016846876,0.000026238362,0.0003803049,0.0031586771,0.004714481,0.00046379512,0.00011129797],"about_ca_topic_score_codex":0.001738912,"about_ca_topic_score_gemma":0.0000516679,"teacher_disagreement_score":0.043717973,"about_ca_system_score_codex":0.00013127316,"about_ca_system_score_gemma":0.000004449282,"threshold_uncertainty_score":0.99974257},"labels":[],"label_agreement":null},{"id":"W2573420433","doi":"10.3141/2566-02","title":"Longitudinal Vehicle Transaction Model: Assessment of Lead and Lagged Effects of Longer-Term Changes and Life-Cycle Events","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Nova Scotia Department of Energy","keywords":"Econometrics; Parametric statistics; Database transaction; Term (time); Logistic regression; Logit; Sample (material); Event (particle physics); Computer science; Economics; Statistics; Mathematics","score_opus":0.14825503866467807,"score_gpt":0.3426269052727791,"score_spread":0.19437186660810105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573420433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889891,0.00051650056,0.008407146,0.0013114188,0.00013233225,0.0005052133,0.00008965571,0.0000047205754,0.000043874195],"genre_scores_gemma":[0.9942364,0.004657549,0.00086788094,0.000011081101,0.000033944125,0.00003102709,0.0000040049,0.000022036667,0.00013606474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976714,0.0002092027,0.0010151151,0.0003008639,0.00047323722,0.000330182],"domain_scores_gemma":[0.99824125,0.00048096234,0.00062400085,0.00021637067,0.0002722099,0.00016518745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002490529,0.0001403744,0.0004503311,0.00052233954,0.00015769679,0.000019163403,0.00025515477,0.0001175268,0.0000928815],"category_scores_gemma":[0.000068848836,0.00010946,0.00014038723,0.00029747863,0.00041118433,0.00049169076,0.0000057038114,0.00041100767,0.0000031376176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030903195,0.00019203738,0.97332954,0.00046382405,0.00013626774,0.0000035445096,0.0012670642,0.0005225904,0.011169829,0.0031052968,0.000039804712,0.009461171],"study_design_scores_gemma":[0.001981581,0.0005655276,0.9860116,0.00028304022,0.00002939912,2.1202048e-7,0.00022724016,0.0015158191,0.0032023275,0.006044687,0.000031727934,0.00010679808],"about_ca_topic_score_codex":0.00094490644,"about_ca_topic_score_gemma":0.0026939444,"teacher_disagreement_score":0.012682103,"about_ca_system_score_codex":0.00013312642,"about_ca_system_score_gemma":0.00008976727,"threshold_uncertainty_score":0.44636494},"labels":[],"label_agreement":null},{"id":"W2577097684","doi":"10.1177/002070200405900434","title":"Review: Capacity for Choice","year":2004,"lang":"en","type":"article","venue":"International Journal Canada s Journal of Global Policy Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics","score_opus":0.06635099788679902,"score_gpt":0.2794854925889039,"score_spread":0.2131344947021049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577097684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6466794,0.04139985,0.07553542,0.22813387,0.0033399607,0.00025360024,0.0018372951,0.000008286805,0.0028123397],"genre_scores_gemma":[0.9847528,0.003296885,0.0017959495,0.008988663,0.0011003001,0.0000019185272,0.000011786638,0.000008011184,0.000043738506],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982112,0.000017598475,0.0012435195,0.00013976498,0.00017855791,0.00020936983],"domain_scores_gemma":[0.99770194,0.000039975363,0.001685818,0.00011232594,0.00024658328,0.00021334933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008025467,0.00013144044,0.0004930644,0.00026774814,0.00008953366,0.0000786059,0.0005526273,0.000045606972,0.00026994423],"category_scores_gemma":[0.00063396204,0.00013650708,0.0005879399,0.00036065048,0.000035114117,0.0003764987,0.000028601942,0.00017125717,0.000011490934],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019887344,0.0004967042,0.3820477,0.00013049613,0.02409103,0.00015627802,0.000119138254,0.16799463,0.00004315005,0.13278691,0.28617114,0.005763915],"study_design_scores_gemma":[0.0029549564,0.00016392917,0.20382059,0.00024096489,0.000802359,0.00099002,0.000040277362,0.0002717215,0.00004063071,0.1014862,0.6887376,0.00045076798],"about_ca_topic_score_codex":0.25657868,"about_ca_topic_score_gemma":0.20835431,"teacher_disagreement_score":0.40256643,"about_ca_system_score_codex":0.0045722993,"about_ca_system_score_gemma":0.0005188688,"threshold_uncertainty_score":0.999249},"labels":[],"label_agreement":null},{"id":"W2580067715","doi":"10.1016/j.worlddev.2017.01.003","title":"The Impact of Payments for Environmental Services on Communal Lands: An Analysis of the Factors Driving Household Land-Use Behavior in Ecuador","year":2017,"lang":"en","type":"article","venue":"World Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Science Foundation","keywords":"Context (archaeology); Corporate governance; Common-pool resource; Payment; Land use; Business; Environmental resource management; Environmental governance; Resource (disambiguation); Ecosystem services; Public economics; Empirical research; Land tenure; Communal land; Survey data collection; Land management; Natural resource economics; Economics; Geography; Ecology; Ecosystem; Agriculture; Microeconomics","score_opus":0.09825851849672726,"score_gpt":0.2612530776336071,"score_spread":0.16299455913687985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580067715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992505,0.00002913569,0.000006452945,0.000015673486,0.00007160659,0.00025711898,0.0002195629,0.0000024487153,0.00014753433],"genre_scores_gemma":[0.99944067,0.000031587046,0.00009809684,0.000011753046,0.00000512885,0.00004047758,0.00007592174,0.000010998706,0.000285392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912894,0.000015765896,0.00048306168,0.00017628829,0.000045273264,0.00015068743],"domain_scores_gemma":[0.99880034,0.00007189535,0.0006007016,0.0004937247,0.0000020259968,0.00003129285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003798179,0.00011361766,0.00026754703,0.00014857021,0.00029126476,0.00005691119,0.0004159994,0.00003114468,0.000056676618],"category_scores_gemma":[0.000008767021,0.00007784279,0.00015826944,0.000054517193,0.000057683657,0.00017683579,0.000114261326,0.00006067341,0.000003972659],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001535565,0.00015808857,0.9971762,0.0000026988148,0.00017084094,7.865757e-8,0.0003811844,0.0013091337,0.000020344834,0.000034264092,0.000003619081,0.00072822307],"study_design_scores_gemma":[0.00036293632,0.00003351217,0.9978045,0.000011092673,0.000030175173,3.9968246e-8,0.00011755172,0.00083409576,0.0005521262,0.00003444291,0.0001253673,0.00009412519],"about_ca_topic_score_codex":0.000904892,"about_ca_topic_score_gemma":0.0045389375,"teacher_disagreement_score":0.0036340454,"about_ca_system_score_codex":0.00028724084,"about_ca_system_score_gemma":0.000009568944,"threshold_uncertainty_score":0.31743369},"labels":[],"label_agreement":null},{"id":"W2583020189","doi":"10.1007/s11111-016-0267-6","title":"Natural resource collection and desired family size: a longitudinal test of environment-population theories","year":2017,"lang":"en","type":"article","venue":"Population and Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Firewood; Fertility; Natural resource; Virtuous circle and vicious circle; Economics; Population; Agriculture; Empirical research; Natural experiment; Demographic economics; Geography; Demography; Sociology; Ecology; Statistics; Biology; Mathematics","score_opus":0.0596213105421366,"score_gpt":0.21094662156133087,"score_spread":0.15132531101919428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583020189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698913,0.0008405624,0.000500914,0.00029920696,0.00008347655,0.0002240754,0.000033949145,0.000010379571,0.0010183058],"genre_scores_gemma":[0.9972558,0.0009564527,0.0008763699,0.00003776043,0.00004006104,0.00001845633,0.00006046784,0.000016467084,0.00073816977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897593,0.000017054623,0.00044365023,0.00036417294,0.00005508227,0.00014411678],"domain_scores_gemma":[0.9990549,0.000059509304,0.0005309675,0.00029543162,0.0000013356832,0.00005781849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032389295,0.0001485714,0.0002567244,0.00005862033,0.00043394315,0.00006637476,0.000076806245,0.00008060457,0.00016410799],"category_scores_gemma":[0.000079121695,0.00017036272,0.00004445598,0.000014469732,0.00015208949,0.00033852455,0.000096736716,0.000071922645,0.000034823275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020887777,0.000045962555,0.990544,0.000013958511,0.00001736646,2.5063653e-7,0.00014216622,0.00028043214,0.00023484151,0.005888014,0.000017980487,0.0027941219],"study_design_scores_gemma":[0.00059476215,0.00006562804,0.98391855,0.000009027164,0.000015338414,0.000002789326,0.000072043855,0.0035230762,0.00005546653,0.010986881,0.00058334065,0.00017311277],"about_ca_topic_score_codex":0.0005748599,"about_ca_topic_score_gemma":0.00001555399,"teacher_disagreement_score":0.0066254847,"about_ca_system_score_codex":0.00014648998,"about_ca_system_score_gemma":0.0000011839587,"threshold_uncertainty_score":0.694719},"labels":[],"label_agreement":null},{"id":"W2583624423","doi":"10.1016/j.wasman.2012.05.029","title":"A Glance at the world","year":2012,"lang":"en","type":"article","venue":"Waste Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Engineering; Environmental science; Political science","score_opus":0.07410090998739814,"score_gpt":0.2037674624898469,"score_spread":0.12966655250244874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583624423","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4641541,0.0016770995,0.00076417613,0.0011207314,0.0005396289,0.00023863575,0.000012488443,0.000017700202,0.5314754],"genre_scores_gemma":[0.8843361,0.00010208068,0.00028965893,0.00077296473,0.00012935937,0.00004616874,0.00000923882,0.000010172465,0.11430426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940085,0.000006575608,0.0002079864,0.00014808496,0.000020705498,0.00021582078],"domain_scores_gemma":[0.9995763,0.000010468123,0.00010535389,0.00027032918,7.532103e-7,0.000036848574],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004048334,0.00007249842,0.00009368676,0.00005280465,0.00010107523,0.000019650166,0.00012398139,0.000013149534,0.0023603742],"category_scores_gemma":[0.0000016862585,0.000065385146,0.000046487232,0.000071020746,0.000029665627,0.00012806982,0.00017046517,0.000036325524,0.0088266],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046589216,0.000062151186,0.43471882,0.000018164592,0.000069101254,4.9358187e-7,0.00024801807,0.0004996007,0.0000035277164,0.5263214,0.034988508,0.0030655153],"study_design_scores_gemma":[0.0003150035,0.000007810896,0.31104812,0.0000045399142,0.000008932452,7.804958e-7,0.00017681876,0.00047966876,0.0000668601,0.0036229223,0.6841189,0.00014959507],"about_ca_topic_score_codex":0.000013882085,"about_ca_topic_score_gemma":0.000025915602,"teacher_disagreement_score":0.64913046,"about_ca_system_score_codex":0.00018599923,"about_ca_system_score_gemma":3.2598615e-7,"threshold_uncertainty_score":0.9985516},"labels":[],"label_agreement":null},{"id":"W2587119238","doi":"10.1007/s11625-017-0423-7","title":"Sustainability beyond city limits: can “greener” beef lighten a city’s Ecological Footprint?","year":2017,"lang":"en","type":"article","venue":"Sustainability Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Solar Energy Technologies Office; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Ecological footprint; Sustainability; Metric (unit); Footprint; Business; Unintended consequences; Ecosystem services; Environmental resource management; Sustainable development; Environmental economics; Environmental planning; Economics; Ecology; Geography; Ecosystem; Marketing; Political science","score_opus":0.07239916821623552,"score_gpt":0.26847392288616584,"score_spread":0.19607475466993032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587119238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96152914,0.0000744834,0.00052796025,0.016588666,0.00042093178,0.0009854096,0.000053581494,0.00006719863,0.01975264],"genre_scores_gemma":[0.9971391,0.000024124764,0.00044205773,0.00027064537,0.00009983181,0.00012086564,0.0000062800154,0.000015934294,0.0018811675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962179,0.00005097918,0.00087015267,0.0016079898,0.00016860734,0.0010843405],"domain_scores_gemma":[0.9962945,0.00011293744,0.00068879523,0.0022041702,0.00030176362,0.0003978105],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005456201,0.00031423575,0.0005709044,0.00023406775,0.0022950293,0.0006186704,0.0019630152,0.00020338355,0.0004345536],"category_scores_gemma":[0.007061268,0.0003398058,0.00021205036,0.00031615977,0.0035934148,0.0010966122,0.0009705422,0.00034571873,0.00007199223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015574911,0.0002578994,0.8899347,0.00004170888,0.000008896379,0.0000055436713,0.00046140418,0.000119784636,0.000009823088,0.104493394,0.000053683932,0.0045975675],"study_design_scores_gemma":[0.00030044027,0.00012184871,0.6680549,0.0000019195215,0.000004523934,0.0000022177258,0.00077713805,0.00058995606,0.00013093255,0.32743594,0.0022942133,0.00028598963],"about_ca_topic_score_codex":0.0025069017,"about_ca_topic_score_gemma":0.0006130863,"teacher_disagreement_score":0.22294256,"about_ca_system_score_codex":0.0052595623,"about_ca_system_score_gemma":0.0006043364,"threshold_uncertainty_score":0.9999054},"labels":[],"label_agreement":null},{"id":"W2587159251","doi":"10.1146/annurev-resource-121416-125602","title":"Asking Willingness-to-Accept Questions in Stated Preference Surveys: A Review and Research Agenda","year":2017,"lang":"en","type":"review","venue":"Annual Review of Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Willingness to accept; Respondent; Contingent valuation; Warrant; Willingness to pay; Public economics; Economics; Incentive; Confusion; Public good; Status quo bias; Valuation (finance); Incentive compatibility; Actuarial science; Status quo; Positive economics; Psychology; Microeconomics; Political science","score_opus":0.46705696239986616,"score_gpt":0.40927121404564143,"score_spread":0.05778574835422473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587159251","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011725926,0.98900926,0.00003098565,0.0002861177,0.00010857606,0.0025056417,0.0015950123,0.000014415153,0.0063327025],"genre_scores_gemma":[0.00006317731,0.99732,0.00022713005,0.00047558072,0.00007113987,0.0004007314,0.00040041286,0.000092050075,0.0009497778],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943967,0.0006645918,0.0031157925,0.001168587,0.00007095516,0.0005833688],"domain_scores_gemma":[0.9956864,0.00041582793,0.0022683505,0.0013436972,0.000073268864,0.00021242142],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01448506,0.0005225569,0.0042695794,0.0005177007,0.00018865036,0.00009505251,0.0010325492,0.00033053188,0.0003474263],"category_scores_gemma":[0.0016522213,0.0005832281,0.0004152272,0.00034794566,0.00024286249,0.00042295325,0.00057197566,0.00078864995,0.0006861152],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016944349,0.000053885058,0.0008711906,0.15059143,0.00011733951,0.0000023181967,0.0001792715,0.000011618064,4.477038e-9,0.0019464074,0.003063794,0.84316105],"study_design_scores_gemma":[0.000112984075,0.00006478475,0.0013021076,0.11873368,0.000116089366,0.000008725889,0.000024121386,0.000009659308,4.0053898e-8,0.00032212972,0.87884974,0.00045590836],"about_ca_topic_score_codex":0.00044967025,"about_ca_topic_score_gemma":0.00009988643,"teacher_disagreement_score":0.87578595,"about_ca_system_score_codex":0.0007165849,"about_ca_system_score_gemma":0.00022632889,"threshold_uncertainty_score":0.9996619},"labels":[],"label_agreement":null},{"id":"W2587282158","doi":"","title":"The Impact of Mature Trees on House Values and on Residential Location Choices in Quebec City","year":2002,"lang":"en","type":"article","venue":"ScholarsArchive  (Brigham Young University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Valuation (finance); Landscaping; Neighbourhood (mathematics); Socioeconomic status; Discrete choice; Geography; Environmental economics; Marketing; Business; Economics; Econometrics; Population; Sociology; Mathematics","score_opus":0.038302063100365144,"score_gpt":0.2068823723557465,"score_spread":0.16858030925538137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587282158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827373,0.0002538923,0.000042994143,0.000111620735,0.000069689726,0.00014221753,0.00004336696,0.00001420014,0.016584687],"genre_scores_gemma":[0.993538,0.0006340157,0.000031164578,0.00001413216,0.000027038333,5.945781e-7,0.000006284593,0.0000108284,0.0057379394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929637,0.000055259676,0.00019434311,0.00026632377,0.00003689685,0.0001508164],"domain_scores_gemma":[0.9994423,0.000098574776,0.00019672749,0.00021043708,0.000007802503,0.000044189557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000214186,0.000111028115,0.00016509816,0.00030888928,0.00018368635,0.000073380375,0.0001769699,0.00006117615,0.0000813926],"category_scores_gemma":[0.000049936338,0.00010498916,0.00007279279,0.00016525589,0.0001358497,0.0004537892,0.000044964323,0.00020630955,0.00008596275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015832677,0.00016997081,0.9574159,0.000007999936,0.00007520688,0.0000058616224,0.0011931964,0.002927979,0.00010368245,0.03610108,0.00039116901,0.0014496292],"study_design_scores_gemma":[0.000608881,0.00013989818,0.9928619,0.000024267532,0.000005065138,7.5069596e-7,0.00016158255,0.0012465272,0.000065361215,0.004302105,0.00047196413,0.00011166335],"about_ca_topic_score_codex":0.008219902,"about_ca_topic_score_gemma":0.004087078,"teacher_disagreement_score":0.035446037,"about_ca_system_score_codex":0.00028876268,"about_ca_system_score_gemma":0.000009742235,"threshold_uncertainty_score":0.9983845},"labels":[],"label_agreement":null},{"id":"W2587585134","doi":"","title":"Taxation and other Economic Strategies that Affect the Sustainable Management of Forests (Indicator 7.47): An Assessment of Taxation Provisions and Financial Assistance Programs in the United States through the Montreal Process Framework","year":2015,"lang":"en","type":"article","venue":"NCSU Libraries Repository (North Carolina State University Libraries)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Business; Process (computing); Sustainable forest management; Finance; Public economics; Environmental resource management; Economics; Forest management; Forestry","score_opus":0.03888437425537679,"score_gpt":0.22959145262914035,"score_spread":0.19070707837376355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587585134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912288,0.00042108676,0.004782488,0.00025909956,0.00006473095,0.00097586133,0.00010484269,0.000020782001,0.0021422605],"genre_scores_gemma":[0.9986508,0.00021458206,0.00071625225,0.00005962548,0.00002280339,0.000023647563,0.00011052132,0.000015772177,0.0001859929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878645,0.00015603141,0.00038761974,0.0003426151,0.00009544237,0.00023182148],"domain_scores_gemma":[0.99827325,0.0001295185,0.001164599,0.00035925422,0.000019051016,0.000054315933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038241906,0.00018187684,0.0002706984,0.00011690214,0.00036921384,0.00024943115,0.00037433393,0.00008797445,0.0000055386013],"category_scores_gemma":[0.000015321406,0.00013809516,0.000044130487,0.00024231055,0.0005951461,0.002229583,0.00013250543,0.0001807903,5.8200783e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011848228,0.0001001521,0.724347,0.00010998714,0.000050175506,0.0000060661264,0.02074471,0.0065086307,9.8026504e-8,0.24775542,0.00005939749,0.00019988556],"study_design_scores_gemma":[0.0005934754,0.00027484354,0.89119846,0.000028636072,0.00003424923,0.0000023199789,0.041114453,0.0055013853,0.000013794028,0.05861086,0.002469314,0.00015823421],"about_ca_topic_score_codex":0.002740913,"about_ca_topic_score_gemma":0.0005523954,"teacher_disagreement_score":0.18914455,"about_ca_system_score_codex":0.00011291649,"about_ca_system_score_gemma":0.00016331283,"threshold_uncertainty_score":0.5631357},"labels":[],"label_agreement":null},{"id":"W2588260987","doi":"10.29173/cais330","title":"Just-in-Case or Just-in-Time Library Services: The Option and Usage Valuation of Libraries and Information Services","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Valuation (finance); Library science; Humanities; Value (mathematics); Political science; Business; Computer science; Art; Accounting","score_opus":0.04471479776408817,"score_gpt":0.2092424807052721,"score_spread":0.16452768294118392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588260987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911791,0.0016487776,0.000007746674,0.0038472,0.00011733808,0.000683698,0.0002733177,0.000008218728,0.0022345888],"genre_scores_gemma":[0.99511933,0.003237059,0.00047295314,0.00036615672,0.000038587437,0.000043210406,0.000022967977,0.000016113943,0.0006835901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832296,0.000028900951,0.0010358219,0.00025247168,0.00010104498,0.00025879027],"domain_scores_gemma":[0.9973046,0.00016229268,0.0014030223,0.0001467155,0.000921516,0.000061822444],"candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0008077209,0.0002252123,0.00048753948,0.00025549106,0.00009272926,0.001832632,0.00053986633,0.00021926076,0.00022127008],"category_scores_gemma":[0.0005030008,0.00018942218,0.000064501204,0.0002917826,0.00039192266,0.04300821,0.00047986745,0.00019045423,0.000018219513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010911117,0.00010844684,0.9042326,0.0021101115,0.000053228916,6.060932e-7,0.05930349,0.00008482889,0.00016923559,0.02549327,0.00010820031,0.008226853],"study_design_scores_gemma":[0.0009587427,0.00022227017,0.92868626,0.00063278596,0.000057808953,0.00004434321,0.01543052,0.03578923,0.00093878957,0.012791751,0.00419451,0.00025297393],"about_ca_topic_score_codex":0.0014983993,"about_ca_topic_score_gemma":0.000058805883,"teacher_disagreement_score":0.043872967,"about_ca_system_score_codex":0.000053365748,"about_ca_system_score_gemma":0.00005505505,"threshold_uncertainty_score":0.99920356},"labels":[],"label_agreement":null},{"id":"W2588398051","doi":"10.1016/j.jval.2016.08.737","title":"Estimating Preferences for Complex Health Technologies: Lessons Learned and Implications for Personalized Medicine","year":2017,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Human Genome Research Institute; National Institutes of Health; Canada Research Chairs","keywords":"Respondent; Value of information; Value (mathematics); Preference; Valuation (finance); Key (lock); Personalized medicine; Data science; Computer science; Risk analysis (engineering); Medicine; Artificial intelligence; Machine learning; Bioinformatics; Biology; Business; Economics; Microeconomics","score_opus":0.5955930544206002,"score_gpt":0.4086307409876269,"score_spread":0.18696231343297326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588398051","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24028672,0.011365156,0.16397308,0.577673,0.00045539113,0.0037966587,0.0011204769,0.00013325042,0.0011962531],"genre_scores_gemma":[0.95576614,0.0016348441,0.04162167,0.0004138702,0.000042554388,0.00032180245,0.000069304544,0.0000145840995,0.00011525151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879485,0.000014667795,0.00056392094,0.0003548963,0.000013347518,0.00025832054],"domain_scores_gemma":[0.99871975,0.00018594161,0.0007440706,0.00029836522,0.0000070647056,0.00004482859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014916132,0.00009315571,0.00038631502,0.00010143089,0.0006345597,0.00003657474,0.00019063281,0.000055387598,0.000015665655],"category_scores_gemma":[0.00048616919,0.000101060665,0.00003159008,0.000027526741,0.00017636323,0.000120675824,0.000042194442,0.00006690728,0.0000050074664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017106762,0.000054465076,0.18176012,0.0004778259,0.000017863442,1.76408e-8,0.0014372577,0.0011564326,0.0000094461975,0.72230715,0.0010203962,0.09174193],"study_design_scores_gemma":[0.0015779037,0.00031049424,0.39886373,0.00011206016,0.0000020355005,0.0000010922005,0.0006047306,0.10211305,0.0000011253176,0.48498198,0.011295692,0.0001360996],"about_ca_topic_score_codex":0.0027096057,"about_ca_topic_score_gemma":0.00008890991,"teacher_disagreement_score":0.7154794,"about_ca_system_score_codex":0.00021791858,"about_ca_system_score_gemma":0.000045804118,"threshold_uncertainty_score":0.48805848},"labels":[],"label_agreement":null},{"id":"W2589787807","doi":"10.3390/recycling2010005","title":"Using Pro-Environmental Information to Modify Conservation Behavior: Paper Recycling and Reuse","year":2017,"lang":"en","type":"article","venue":"Recycling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Reuse; Signage; Environmental economics; Environmental policy; Business; Computer science; Engineering; Economics; Advertising; Waste management","score_opus":0.21863041001134792,"score_gpt":0.27446732179544436,"score_spread":0.055836911784096444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589787807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939098,0.00011345042,0.0024903598,0.0005664984,0.00026721257,0.0003587981,0.00004318485,0.000019446496,0.0022312652],"genre_scores_gemma":[0.99030286,0.00020412118,0.008750936,0.0004691979,0.00007457122,0.000032492087,0.000033803182,0.000017023967,0.000114997405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989819,0.000009161307,0.00053336215,0.00025386031,0.000035476813,0.00018626917],"domain_scores_gemma":[0.99893093,0.000018683582,0.00046392187,0.0004989822,0.000003762076,0.00008371714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000520297,0.00012439389,0.00020010334,0.00010122379,0.0004935981,0.00023398332,0.0001913513,0.000102595775,0.00012053513],"category_scores_gemma":[0.0001591477,0.00016036446,0.00004319585,0.000019559895,0.000049741575,0.0019292987,0.00018489252,0.00010517694,0.00035749533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011870131,0.000028695174,0.98770106,0.000012368473,0.000013697982,5.721044e-7,0.0006727377,0.00067412516,0.0015383507,0.0017365521,0.00005004389,0.0075599523],"study_design_scores_gemma":[0.0005896238,0.000035365236,0.9690355,0.00003442979,0.000016243968,0.0000060590473,0.00021064165,0.019835407,0.00034089733,0.0029868118,0.0066012633,0.00030773933],"about_ca_topic_score_codex":0.0003336919,"about_ca_topic_score_gemma":0.000009975192,"teacher_disagreement_score":0.019161282,"about_ca_system_score_codex":0.0002190311,"about_ca_system_score_gemma":0.0000054238094,"threshold_uncertainty_score":0.6539473},"labels":[],"label_agreement":null},{"id":"W2590263363","doi":"10.1037/dec0000077","title":"Not just noise: A goal pursuit interpretation of stochastic choice.","year":2017,"lang":"en","type":"article","venue":"Decision","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Multinomial logistic regression; Interpretation (philosophy); Probabilistic logic; Computer science; Weighting; Econometrics; Mathematical economics; Mathematics; Artificial intelligence; Machine learning","score_opus":0.10240976297406526,"score_gpt":0.2790901684785651,"score_spread":0.17668040550449984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590263363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.920194,0.0001163451,0.07306433,0.0001570326,0.0005539601,0.0001331013,0.000054515498,0.0000079045385,0.005718856],"genre_scores_gemma":[0.9985749,0.000025046429,0.0007708618,0.000070772,0.00006789322,0.000010622544,0.000014030341,0.0000129131495,0.00045297612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912614,0.000004578658,0.0004548772,0.00025403732,0.00004409067,0.00011627325],"domain_scores_gemma":[0.9988559,0.000085086045,0.0005308448,0.00047532233,0.000009833996,0.00004304408],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003922937,0.000087251334,0.0002280543,0.00009685176,0.00013583699,0.00007842917,0.000324767,0.000070685724,0.0004891519],"category_scores_gemma":[0.00041216772,0.00010067842,0.00008344935,0.000020527794,0.0000642584,0.00037754065,0.00011057928,0.00006370357,0.0012596891],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004411024,0.0004338121,0.5199726,0.000065601074,0.00014179433,0.000003004327,0.0023546915,0.015849672,0.0020845924,0.07008313,0.0031500694,0.3854199],"study_design_scores_gemma":[0.00070772954,0.000066810564,0.9301651,0.00003254353,0.0000072432827,8.4939035e-7,0.000032719923,0.05390457,0.00014685567,0.014144597,0.0006577471,0.00013324482],"about_ca_topic_score_codex":0.00010241266,"about_ca_topic_score_gemma":0.000023217106,"teacher_disagreement_score":0.41019246,"about_ca_system_score_codex":0.00008904825,"about_ca_system_score_gemma":0.0000051579173,"threshold_uncertainty_score":0.9995179},"labels":[],"label_agreement":null},{"id":"W2590967549","doi":"10.1155/2017/8652053","title":"Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Mixed logit; Tourism; Travel behavior; Logit; Preference; Public transport; Logistic regression; Ordered logit; Computer science; Transport engineering; Marketing; Operations research; Advertising; Econometrics; Geography; Business; Statistics; Engineering; Economics; Mathematics; Machine learning","score_opus":0.1765706331775326,"score_gpt":0.263888892184642,"score_spread":0.0873182590071094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590967549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7743852,0.000059613143,0.22472407,0.00020260441,0.0002097227,0.00019628371,0.00005618462,0.000007015567,0.00015927655],"genre_scores_gemma":[0.9929804,0.000079243575,0.006775652,0.000027717884,0.000043515072,0.000012007792,0.00001844238,0.000018970884,0.000044002965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985981,0.000011802751,0.00092993764,0.00022006393,0.00007925812,0.00016080972],"domain_scores_gemma":[0.99856114,0.00003089434,0.0011010742,0.00018778858,0.000029341609,0.00008974757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591772,0.00013726653,0.00037442474,0.00026568974,0.00014563551,0.000055003427,0.00017041214,0.0000663883,0.000015888158],"category_scores_gemma":[0.000023228187,0.00014395922,0.00009494414,0.00006927211,0.00003731169,0.000849085,0.0000015154548,0.00013556442,0.00000820121],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001440224,0.00009143595,0.41297895,0.00006145444,0.0000627396,0.000033075652,0.004165108,0.56690294,0.0002979246,0.013561222,0.000014197027,0.00039071977],"study_design_scores_gemma":[0.0018391979,0.00025059952,0.9880343,0.00018485777,0.00002434266,0.0000031760837,0.0022741924,0.0027730216,0.00043684902,0.0039214683,0.000061726605,0.00019626165],"about_ca_topic_score_codex":0.00006667709,"about_ca_topic_score_gemma":0.00078735186,"teacher_disagreement_score":0.57505536,"about_ca_system_score_codex":0.0006350043,"about_ca_system_score_gemma":0.000027991753,"threshold_uncertainty_score":0.58704865},"labels":[],"label_agreement":null},{"id":"W2591841034","doi":"","title":"The Sustainability of Commercial Tour Operations in Protected Natural Areas: Defining Categories of Environmental Supply","year":2016,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Visitor pattern; Sustainability; Environmental resource management; Business; Tourism; National park; Environmental planning; Natural resource; Environmental quality; Environmental impact assessment; Ecosystem services; Zoning; Protected area; Geography; Environmental protection; Engineering; Ecosystem; Environmental science; Political science; Ecology; Computer science; Civil engineering","score_opus":0.024098640524067936,"score_gpt":0.2152391179248387,"score_spread":0.19114047740077078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591841034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885003,0.0006225979,0.0008758842,0.0056045414,0.00024223198,0.00046378304,0.00017745217,0.000021700507,0.0034914862],"genre_scores_gemma":[0.99903864,0.00014974001,0.00041745635,0.000021427357,0.000048906975,0.00014042588,0.000047364818,0.000016104499,0.000119926306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982999,0.0001088408,0.0008590592,0.00033395807,0.00010062983,0.0002976334],"domain_scores_gemma":[0.9990148,0.00018928281,0.00035040217,0.0003266226,0.00004447236,0.000074399286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007007554,0.0001704004,0.00032090707,0.00017156774,0.0002633688,0.000035318277,0.00029193383,0.00015053296,0.000059031197],"category_scores_gemma":[0.00048668258,0.00013725793,0.00011251391,0.00016708992,0.000069135815,0.00034664804,0.00012123952,0.00018038563,0.000008458721],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091638074,0.00023002374,0.1420431,0.000022652472,0.000040841125,0.0000022772324,0.00088625605,0.00013678515,0.0009066507,0.85353863,0.000027149956,0.0020739678],"study_design_scores_gemma":[0.001309224,0.00007608994,0.94473875,0.00004689191,0.00001135827,0.000034806875,0.00088466273,0.000493598,0.0013021965,0.005805366,0.045030955,0.0002660964],"about_ca_topic_score_codex":0.000012385601,"about_ca_topic_score_gemma":0.0004910538,"teacher_disagreement_score":0.84773326,"about_ca_system_score_codex":0.00083367195,"about_ca_system_score_gemma":0.00012190995,"threshold_uncertainty_score":0.5597216},"labels":[],"label_agreement":null},{"id":"W2591894216","doi":"10.1158/1538-7445.sabcs16-p3-08-08","title":"Abstract P3-08-08: Preferences for breast cancer risk reduction among <i>BRCA1</i> and <i>BRCA2</i> mutation carriers: A discrete choice experiment","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Amgen (Canada); University of Toronto","funders":"","keywords":"Breast cancer; Cancer; Medicine; Oncology; Mutation; Reduction (mathematics); Internal medicine; Genetics; Biology; Mathematics; Gene","score_opus":0.16560260357528683,"score_gpt":0.3569536558425063,"score_spread":0.1913510522672195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591894216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911492,0.0035929724,0.00012131499,0.0008213052,0.0005072712,0.0007877616,0.0012236104,0.000016964288,0.0017796038],"genre_scores_gemma":[0.99250793,0.004808504,0.00010270807,0.000020300171,0.00050727866,0.0013086866,0.000032824468,0.000033326458,0.0006784507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998357,0.000031223575,0.00040505923,0.0006708991,0.00010080984,0.00043501257],"domain_scores_gemma":[0.9988088,0.00006712163,0.00046423063,0.00044833432,0.000052999603,0.00015854031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011235111,0.00016684577,0.00028101614,0.0001270208,0.001004476,0.0003756012,0.00030075875,0.00012338326,0.0007295811],"category_scores_gemma":[0.00008848663,0.00018192825,0.00007410155,0.000055421973,0.00042356557,0.0009371894,0.00011045903,0.0002637498,0.0000647612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022644493,0.0000804988,0.9458783,0.00017011339,0.00025163658,0.0000010480567,0.002755419,0.0008842625,0.0023710353,0.0012977353,0.0027139068,0.043369543],"study_design_scores_gemma":[0.0011430169,0.00008003531,0.9872336,0.000070941045,0.000014248121,0.0000016792679,0.00075178046,0.0008477219,0.0027219104,0.0044116634,0.0024579223,0.00026547792],"about_ca_topic_score_codex":0.016185524,"about_ca_topic_score_gemma":0.0010692247,"teacher_disagreement_score":0.043104067,"about_ca_system_score_codex":0.00061619584,"about_ca_system_score_gemma":0.000059821912,"threshold_uncertainty_score":0.9903658},"labels":[],"label_agreement":null},{"id":"W2593137067","doi":"10.1086/691697","title":"Contemporary Guidance for Stated Preference Studies","year":2017,"lang":"en","type":"article","venue":"Journal of the Association of Environmental and Resource Economists","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1387,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Valuation (finance); Preference; Contingent valuation; Context (archaeology); Willingness to pay; Set (abstract data type); Business; Public relations; Public economics; Marketing; Economics; Political science; Computer science; Microeconomics; Geography","score_opus":0.1369058288583302,"score_gpt":0.24117230674823345,"score_spread":0.10426647788990326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593137067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937268,0.0026129275,0.000021794895,0.001132769,0.00026546489,0.00015363608,0.00015835497,0.0000014155562,0.0019268681],"genre_scores_gemma":[0.99572253,0.00055007514,0.00015049889,0.00009935022,0.0000813959,0.0000047916155,0.000002221496,0.000009118909,0.003379997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899745,0.000021022968,0.0007134806,0.00013089553,0.000035974255,0.00010116525],"domain_scores_gemma":[0.99597055,0.00009678958,0.0036809158,0.00020594244,0.000007810353,0.000037999645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010200668,0.00009047636,0.00034618998,0.00003416908,0.00023920399,0.000040247978,0.00027328386,0.000062344894,0.000035246496],"category_scores_gemma":[0.00021131564,0.00007703816,0.00014889076,0.000006221685,0.0001120981,0.0002724897,0.00010944208,0.00007956214,0.000010600322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042263855,0.00006622175,0.99375904,0.000026703749,0.00027511248,1.720734e-7,0.00063256663,0.0001149562,0.00037348637,0.00064899854,0.0034764698,0.0005840024],"study_design_scores_gemma":[0.0012855317,0.00009391153,0.97359353,0.00003142342,0.00001649677,0.0000021869396,0.0004413754,0.00009805494,0.0006400404,0.0046152035,0.01908449,0.000097746],"about_ca_topic_score_codex":0.0000052520822,"about_ca_topic_score_gemma":0.0000029002479,"teacher_disagreement_score":0.020165507,"about_ca_system_score_codex":0.00032804155,"about_ca_system_score_gemma":0.000008617299,"threshold_uncertainty_score":0.31415248},"labels":[],"label_agreement":null},{"id":"W2594192496","doi":"10.1139/facets-2016-0054","title":"Assessing public commitment to endangered species protection: A Canadian case study","year":2017,"lang":"en","type":"article","venue":"FACETS","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Manitoba; York University; University of British Columbia, Okanagan Campus; Okanagan University College; Carleton University; University of British Columbia; Fisheries and Oceans Canada; University of Waterloo; Memorial University of Newfoundland; University of Calgary; Trent University; Ministry of Natural Resources and Forestry; University of Guelph","funders":"Liber Ero Foundation; University of British Columbia","keywords":"Endangered species; Limiting; Stewardship (theology); Property rights; Business; Extinction (optical mineralogy); Environmental resource management; Threatened species; Private property; Public economics; Public support; Environmental planning; Natural resource economics; Geography; Economics; Ecology; Political science; Law; Habitat; Biology; Engineering","score_opus":0.404557288564033,"score_gpt":0.2932112233530297,"score_spread":0.11134606521100332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594192496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97265214,0.000039441617,0.00035164176,0.0024679913,0.0004402742,0.00068554096,0.000052304546,0.000015248228,0.023295417],"genre_scores_gemma":[0.9977031,0.0000029744597,0.00019990839,0.00015588746,0.00008849866,0.00011966247,0.00000555147,0.000013441631,0.0017109802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991859,0.000013442447,0.0002520168,0.00029311073,0.000022642367,0.00023284387],"domain_scores_gemma":[0.99912256,0.000005247027,0.0001754891,0.0004940137,0.000007242495,0.00019544011],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004326319,0.00010028317,0.00017598832,0.00014299212,0.0008338635,0.00070105586,0.00018252207,0.00003580728,0.0008612724],"category_scores_gemma":[0.0000489655,0.00012375489,0.00003642042,0.000031355637,0.000028344,0.0005601021,0.00007773415,0.00007773908,0.0013659439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013960032,0.00012632496,0.99005497,0.0000043957393,0.000047993515,0.00015322639,0.0019201107,0.000048673675,0.0000131687775,0.0017543026,0.00068444805,0.005191018],"study_design_scores_gemma":[0.00040573033,0.00008281672,0.9545988,0.0000033137778,0.0000033607255,0.00006727031,0.0029852402,0.00027205155,0.000021218644,0.00028215544,0.041097455,0.00018059586],"about_ca_topic_score_codex":0.12496397,"about_ca_topic_score_gemma":0.18481506,"teacher_disagreement_score":0.059851095,"about_ca_system_score_codex":0.0006049046,"about_ca_system_score_gemma":0.000028158716,"threshold_uncertainty_score":0.9994116},"labels":[],"label_agreement":null},{"id":"W2594732338","doi":"10.1093/jeea/jvaa037","title":"Predictive Power in Behavioral Welfare Economics","year":2020,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Predictive power; Ambiguity; Welfare; Economics; Set (abstract data type); Field (mathematics); Power (physics); Behavioral economics; Behavioral modeling; Microeconomics; Econometrics; Computer science; Artificial intelligence","score_opus":0.0487341586142607,"score_gpt":0.19793437862378135,"score_spread":0.14920022000952066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594732338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655592,0.00011605587,0.00013342936,0.0072079445,0.0009465161,0.00012301332,0.000079590536,0.0000070765313,0.025827207],"genre_scores_gemma":[0.9987505,0.000091807495,0.00010084462,0.00046819198,0.00031184478,0.0000011095951,0.0000034423,0.000028691984,0.00024353249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998435,0.00011055868,0.0010650472,0.00019188097,0.00002562317,0.00017185458],"domain_scores_gemma":[0.9977036,0.000027584796,0.002043706,0.00013775528,0.000010688012,0.000076625314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014818867,0.00011888675,0.0003268319,0.000078950136,0.00006686067,0.000053436805,0.00035787438,0.00006167106,0.00032042168],"category_scores_gemma":[0.0000997655,0.00012229546,0.00021931212,0.000047304864,0.000021699989,0.0004941814,0.00009600842,0.00026575997,0.00063912955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023581959,0.000054393673,0.98165894,0.0000025446866,0.00006316587,0.0000016988226,0.0012927132,0.011047215,0.000008007202,0.0035996377,0.0018611389,0.000386992],"study_design_scores_gemma":[0.0010697562,0.00012430853,0.98086834,0.0000077032155,0.000014404377,0.0000039189426,0.00033543335,0.001318136,0.000024103492,0.001568296,0.014513621,0.00015199218],"about_ca_topic_score_codex":0.000020282501,"about_ca_topic_score_gemma":0.000012430472,"teacher_disagreement_score":0.033191368,"about_ca_system_score_codex":0.0018235495,"about_ca_system_score_gemma":0.00002170505,"threshold_uncertainty_score":0.8214931},"labels":[],"label_agreement":null},{"id":"W2598462323","doi":"10.5539/jsd.v10n2p135","title":"Determinants of Smallholder Farmers’ Willingness to Pay for Irrigation Water in Kerio Valley Basin, Kenya","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Consortium pour la recherche économique en Afrique","keywords":"Irrigation; Irrigation management; Willingness to pay; Business; Water conservation; Agricultural economics; Water resources; Water resource management; Economics; Environmental science","score_opus":0.058653178727483865,"score_gpt":0.23966413013261334,"score_spread":0.18101095140512946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598462323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959216,0.00005225772,0.002518549,0.00045814874,0.0002604088,0.0003374644,0.000003313001,0.0000014974025,0.0004467621],"genre_scores_gemma":[0.99330866,0.00003653826,0.004383521,0.00008328187,0.00004217372,0.000026333559,0.0000033875172,0.000016277769,0.0020997971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844056,0.000008138806,0.0010326771,0.0001699251,0.000049117203,0.00029960557],"domain_scores_gemma":[0.99884015,0.000018010665,0.0008112006,0.00017256581,0.00008459925,0.00007346767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016069943,0.00011375329,0.0003946533,0.00022411783,0.00017200706,0.00006815881,0.00026547062,0.00006757189,0.00008653873],"category_scores_gemma":[0.00011153365,0.0000955744,0.00007693882,0.00003119079,0.000025888061,0.00047956643,0.00008752799,0.00007539991,0.000026381547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007095863,0.00009078338,0.9921367,0.00010625099,0.00002976814,0.000014048627,0.0030811823,0.0006080091,0.00008630222,0.0010853087,0.00009042278,0.0026002722],"study_design_scores_gemma":[0.0011048001,0.000101380945,0.97330403,0.00005095548,0.000005156787,0.0000043527393,0.0016723506,0.0001564481,0.0056368615,0.004100084,0.0136960605,0.00016752862],"about_ca_topic_score_codex":0.000075814285,"about_ca_topic_score_gemma":0.000016117385,"teacher_disagreement_score":0.018832672,"about_ca_system_score_codex":0.0005284001,"about_ca_system_score_gemma":0.00007551479,"threshold_uncertainty_score":0.3897411},"labels":[],"label_agreement":null},{"id":"W2598689210","doi":"10.2202/2152-2812.1065","title":"Appropriate Discounting for Benefit-Cost Analysis","year":2011,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"John D. and Catherine T. MacArthur Foundation","keywords":"Discounting; Generality; Hyperbolic discounting; Cost–benefit analysis; Economics; Order (exchange); Range (aeronautics); Microeconomics; Actuarial science; Econometrics; Computer science; Engineering; Finance","score_opus":0.10371656375519336,"score_gpt":0.2368113089852115,"score_spread":0.13309474523001813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598689210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9145123,0.0009048414,0.08073528,0.00014406447,0.0002732085,0.0002581458,0.00028354733,0.000011300215,0.0028773623],"genre_scores_gemma":[0.9925009,0.00035291564,0.006084241,0.00011601262,0.00021686223,0.000030809915,0.00011470421,0.00003425299,0.00054929114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707806,0.000014272675,0.0019165204,0.0004628006,0.00011063749,0.00041768124],"domain_scores_gemma":[0.9966599,0.00007631814,0.002515452,0.00045629256,0.000101867765,0.00019020282],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001745761,0.00027471618,0.0013091812,0.0017911962,0.00019817529,0.000117441516,0.00045843795,0.00015151927,0.0015384433],"category_scores_gemma":[0.000079696074,0.0002832796,0.0019434849,0.0014854693,0.000054714634,0.0007020467,0.00006336902,0.0001965143,0.00013905976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000832412,0.00023155325,0.9417708,0.000014854407,0.01152094,0.000003291153,0.00077628717,0.030823398,0.00004211529,0.010771192,0.0000673266,0.0038950276],"study_design_scores_gemma":[0.0012517275,0.00013733961,0.9258904,0.000012337346,0.008467744,0.000005626599,0.00051061186,0.040397324,0.00033456544,0.020815788,0.0016168334,0.0005596998],"about_ca_topic_score_codex":0.00035591426,"about_ca_topic_score_gemma":0.0003139584,"teacher_disagreement_score":0.07798866,"about_ca_system_score_codex":0.00029699615,"about_ca_system_score_gemma":0.000014095001,"threshold_uncertainty_score":0.9999619},"labels":[],"label_agreement":null},{"id":"W2599379636","doi":"10.1007/s00267-017-0849-9","title":"Which Factors Contribute to Environmental Behaviour of Landowners in Southwestern Ontario, Canada?","year":2017,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of New Brunswick; Mitel (Canada); Toronto and Region Conservation Authority","funders":"Social Sciences and Humanities Research Council of Canada; Stichting Nederlands Oogheelkundig Onderzoek; Ontario Ministry of Natural Resources and Forestry","keywords":"Outreach; Stewardship (theology); Environmental stewardship; Incentive; Set-aside; Incentive program; Context (archaeology); Government (linguistics); Environmental resource management; Business; Population; Wetland; Geography; Socioeconomics; Economic growth; Environmental health; Ecology; Political science; Economics","score_opus":0.02973236307072311,"score_gpt":0.18194632448565076,"score_spread":0.15221396141492766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599379636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99124825,0.000054147094,0.00006983922,0.00020280265,0.00028328225,0.0005170596,0.0005003265,0.0000053952594,0.0071189106],"genre_scores_gemma":[0.9953372,0.000053051357,0.00013178163,0.00011118244,0.000015924563,0.000047340574,0.00015580415,0.000025635423,0.004122081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983959,0.0000115558205,0.0006218526,0.0005099812,0.000105000865,0.00035568557],"domain_scores_gemma":[0.99880755,0.000010822739,0.000408733,0.00063791155,5.039629e-7,0.00013450473],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026003574,0.0002308549,0.00038273525,0.000115596595,0.00015621298,0.000043430093,0.00044015478,0.000063246254,0.0023560796],"category_scores_gemma":[0.0000055812798,0.0002763117,0.00007213583,0.00002188719,0.00006376953,0.00022637895,0.00037926674,0.00011777353,0.0003239171],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015847603,0.00014693955,0.9980055,0.0000068151353,0.0000515446,0.0000071343493,0.00041093773,0.00049482024,0.000048487585,0.00044018845,0.00014766377,0.00022411424],"study_design_scores_gemma":[0.0011243157,0.000054159464,0.99387586,0.000012944551,0.000014109954,5.951919e-7,0.00060368364,0.000039735904,0.00020631382,0.00016350819,0.003616874,0.00028792088],"about_ca_topic_score_codex":0.5359338,"about_ca_topic_score_gemma":0.7546848,"teacher_disagreement_score":0.21875101,"about_ca_system_score_codex":0.0019846985,"about_ca_system_score_gemma":0.000011050824,"threshold_uncertainty_score":0.9999689},"labels":[],"label_agreement":null},{"id":"W2600621182","doi":"","title":"ECONOMIC ANALYSIS OF BENEFICIAL MANAGEMENT PRACTICES IN SOUTHERN MANITOBA","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic analysis; Geography; Environmental planning; Economics; Agricultural economics","score_opus":0.09303017588363717,"score_gpt":0.2693937882976271,"score_spread":0.17636361241398996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600621182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7034966,0.00033933722,0.000013610835,0.000019262821,0.00035131353,0.00017945806,0.00021743371,0.0000059761464,0.29537705],"genre_scores_gemma":[0.968994,0.00078349444,0.00016403492,0.000016080443,0.000055269687,0.00004142846,0.0013975413,0.000028505548,0.028519608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983469,0.000009633885,0.00093048176,0.00051449984,0.00002852191,0.00016996042],"domain_scores_gemma":[0.9962968,0.000024170064,0.0031442854,0.0005009213,0.000004290572,0.000029495113],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005060773,0.00019603781,0.0007337949,0.0009360229,0.000057989248,0.00006288541,0.0003534238,0.00020629591,0.0037233992],"category_scores_gemma":[0.000016827282,0.00025373892,0.00026416624,0.000075449876,0.000021047405,0.00022256435,0.000028617898,0.00011430063,0.0013973888],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070564485,0.00017460754,0.92590976,0.0001651817,0.0028500543,0.0000031718298,0.001427393,0.005746134,0.0000030137187,0.054681927,0.000115896335,0.00885232],"study_design_scores_gemma":[0.0003982075,0.000022716016,0.98153996,0.000023501152,0.0004988308,1.0032964e-7,0.0058626435,0.0050261016,0.000015934413,0.0047615827,0.0014849841,0.00036540456],"about_ca_topic_score_codex":0.013211564,"about_ca_topic_score_gemma":0.086978495,"teacher_disagreement_score":0.26685745,"about_ca_system_score_codex":0.00032046856,"about_ca_system_score_gemma":0.000011888953,"threshold_uncertainty_score":0.9999915},"labels":[],"label_agreement":null},{"id":"W2603512512","doi":"10.1007/s10640-017-0120-0","title":"Modelling the Effect of Chronic Wasting Disease on Recreational Hunting Site Choice Preferences and Choice Set Formation over Time","year":2017,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Prion Research Institute","keywords":"Recreation; Chronic wasting disease; Set (abstract data type); Choice set; Wasting; Economics; Microeconomics; Natural resource economics; Econometrics; Computer science; Ecology; Disease; Chemistry; Biology; Medicine","score_opus":0.039197003414829935,"score_gpt":0.19870897296298662,"score_spread":0.1595119695481567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603512512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963031,0.0011969624,0.00007516083,0.00014752429,0.000045452347,0.00023800299,0.00017172693,0.0000063277184,0.0018157526],"genre_scores_gemma":[0.99830186,0.0009732767,0.000039047267,0.000040938485,0.0001444562,0.000018114955,0.00009685192,0.000016700062,0.00036876078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910414,0.000023731869,0.0003661322,0.0003178261,0.000028282493,0.00015990545],"domain_scores_gemma":[0.998904,0.0001940758,0.00055789005,0.00027061687,6.2410976e-7,0.00007279928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004355843,0.000159537,0.00022893865,0.00004508806,0.0005394117,0.00010940203,0.00014310573,0.00005633695,0.00016286079],"category_scores_gemma":[0.000029899766,0.00014282989,0.000057736062,0.0000067514898,0.00020336143,0.00043588912,0.000150787,0.00011662364,0.00010571526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003075521,0.00001908659,0.9316617,0.000060213075,0.00003263213,1.428116e-7,0.00020061828,0.06469189,0.00006755189,0.00040382653,0.000021406928,0.0028101553],"study_design_scores_gemma":[0.00064227724,0.000116264535,0.5344637,0.000050936,0.000018395454,0.0000013005721,0.000021705753,0.4613042,0.00013392263,0.0003238359,0.0027591875,0.00016430026],"about_ca_topic_score_codex":0.00007614833,"about_ca_topic_score_gemma":0.0000067603837,"teacher_disagreement_score":0.39719805,"about_ca_system_score_codex":0.00014168996,"about_ca_system_score_gemma":0.0000028585143,"threshold_uncertainty_score":0.58244336},"labels":[],"label_agreement":null},{"id":"W260381438","doi":"10.1007/978-3-319-07167-1_28","title":"Decision Making Behavior of Earthquake Evacuees: An Application of Discrete Choice Models","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Discrete choice; Computer science; Operations research; Economics; Econometrics; Engineering","score_opus":0.09507142361296533,"score_gpt":0.2558892474737773,"score_spread":0.16081782386081195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W260381438","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1125561,0.0005821664,0.37548223,0.000014846842,0.00019796293,0.00079559104,0.00041252302,0.000027909744,0.5099307],"genre_scores_gemma":[0.9697654,0.00018083003,0.0046212478,0.00003680385,0.00007059475,0.00003294395,0.00015186142,0.000056949008,0.02508335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99822295,0.000004858423,0.0011024371,0.00048502252,0.000058042522,0.00012671803],"domain_scores_gemma":[0.99807537,0.00006447947,0.0011739195,0.00061747007,0.00001924806,0.000049508064],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039949155,0.000218012,0.0006053711,0.00020757089,0.000034631368,0.00001288647,0.00024396922,0.00028671246,0.0011374521],"category_scores_gemma":[0.000010077711,0.00025587113,0.00018212145,0.000017422723,0.00007670016,0.00021956024,0.00007378589,0.000112988026,0.00029247327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015252416,0.000042016585,0.013541258,0.0000463265,0.0000364875,9.240647e-8,0.0000682111,0.0028996987,0.000017915536,0.91407776,0.000043020136,0.06921198],"study_design_scores_gemma":[0.0012360904,0.00048566147,0.13094783,0.00027343488,0.00016688685,0.0000033229514,0.00003497967,0.14370498,0.000108220025,0.6980129,0.023751754,0.001273947],"about_ca_topic_score_codex":0.00013125643,"about_ca_topic_score_gemma":0.00009270984,"teacher_disagreement_score":0.8572093,"about_ca_system_score_codex":0.00009305037,"about_ca_system_score_gemma":0.0000074549107,"threshold_uncertainty_score":0.99998933},"labels":[],"label_agreement":null},{"id":"W2604335931","doi":"10.1016/j.jenvman.2017.03.050","title":"Risk aversion and willingness to pay for water quality: The case of non-farm rural residents","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Willingness to pay; Contingent valuation; Valuation (finance); Risk aversion (psychology); Water quality; Economics; Public economics; Rural area; Business; Actuarial science; Agricultural economics; Microeconomics; Expected utility hypothesis; Finance","score_opus":0.04402740017737978,"score_gpt":0.24548742848377517,"score_spread":0.2014600283063954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604335931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956253,0.00012094395,0.0025749945,0.000570182,0.00027014373,0.00031853677,0.00006756512,8.596644e-7,0.00045147323],"genre_scores_gemma":[0.9974674,0.00077861163,0.0008308697,0.00009867553,0.00006153052,0.000008552579,0.0000028103402,0.000011624496,0.00073991856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907744,0.000014997193,0.0005874724,0.00013998096,0.00004227616,0.00013785946],"domain_scores_gemma":[0.99883395,0.000025024625,0.00079151586,0.00028837382,0.0000023548907,0.00005877248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011764889,0.00009778472,0.00023159065,0.000061107334,0.000302322,0.00005571509,0.00022357624,0.000031420648,0.000096446354],"category_scores_gemma":[0.000013075728,0.000065902634,0.00010624583,0.000007360738,0.00007274921,0.00021139934,0.0002313763,0.000070428214,0.00004507151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002574247,0.0002633507,0.95379204,0.00010230632,0.00042920525,0.000054931777,0.0017420743,0.001395052,0.0009548619,0.0022004955,0.0004095795,0.038398687],"study_design_scores_gemma":[0.0012699512,0.0001895714,0.9894935,0.000020124398,0.00005354831,0.000027199798,0.0014092495,0.000287773,0.00078698545,0.004257395,0.002085433,0.00011925609],"about_ca_topic_score_codex":0.0001604831,"about_ca_topic_score_gemma":0.0000140663,"teacher_disagreement_score":0.03827943,"about_ca_system_score_codex":0.00012463238,"about_ca_system_score_gemma":7.896522e-7,"threshold_uncertainty_score":0.26874316},"labels":[],"label_agreement":null},{"id":"W2606189801","doi":"10.1016/j.energy.2017.04.107","title":"Willingness to pay for a cleaner car: The case of car pollution in Quebec and France","year":2017,"lang":"en","type":"article","venue":"Energy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Central University of Finance and Economics","keywords":"Willingness to pay; Contingent valuation; Incentive; Valuation (finance); Greenhouse gas; Limiting; Econometric model; Air pollution; Argument (complex analysis); Economics; Econometric analysis; Public economics; Estimation; Value (mathematics); Alternative fuel vehicle; Pollution; Business; Natural resource economics; Environmental economics; Engineering; Microeconomics; Econometrics; Finance; Mathematics","score_opus":0.04282895406939051,"score_gpt":0.2180174639905347,"score_spread":0.1751885099211442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606189801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99497527,0.00028807085,0.002749144,0.0009925383,0.00014793732,0.000077279554,0.000058271115,0.0000020497027,0.00070942123],"genre_scores_gemma":[0.9979371,0.00006001599,0.000131845,0.0002079887,0.00004841594,0.000033340988,0.0000030955414,0.0000059164377,0.0015723057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956983,0.0000048513716,0.00018495566,0.00014788957,0.0000060608627,0.0000864305],"domain_scores_gemma":[0.99961114,0.00001413168,0.00014029308,0.0002095063,0.0000030476253,0.000021909427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018577783,0.000050288236,0.00012417755,0.00002128013,0.00011563429,0.00002328442,0.000079779784,0.00003608987,0.000016565968],"category_scores_gemma":[0.000027574939,0.000042590495,0.000026601703,0.000016894071,0.000042367854,0.000107496366,0.000030361014,0.000020019834,0.00000623671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026206751,0.000042876472,0.65955216,0.000022069002,0.000022524247,0.000007315648,0.0012880774,0.006303333,0.00006231924,0.28526634,0.00034683026,0.047059927],"study_design_scores_gemma":[0.0005974424,0.000041990017,0.9495521,0.00000993862,0.0000039749034,0.0000071371055,0.00022097275,0.005650756,0.00023836346,0.011027931,0.0325109,0.00013844893],"about_ca_topic_score_codex":0.074562475,"about_ca_topic_score_gemma":0.039199315,"teacher_disagreement_score":0.29,"about_ca_system_score_codex":0.00005727586,"about_ca_system_score_gemma":0.000004596268,"threshold_uncertainty_score":0.9783328},"labels":[],"label_agreement":null},{"id":"W2610220905","doi":"10.1007/s40271-017-0244-x","title":"Individual Preferences for Child and Adolescent Vaccine Attributes: A Systematic Review of the Stated Preference Literature","year":2017,"lang":"en","type":"review","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Medicine; Diphtheria; Preference; Hepatitis B vaccine; Conjoint analysis; Vaccination; Environmental health; Family medicine; Actuarial science; Hepatitis B virus; Immunology; Statistics","score_opus":0.2632936579603044,"score_gpt":0.28253043162908126,"score_spread":0.019236773668776852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610220905","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000048762326,0.99188477,0.000023731129,0.000047119764,0.00020449098,0.004334206,0.0031792712,0.000005515597,0.00027211703],"genre_scores_gemma":[0.00091811083,0.9976472,0.00004103832,0.000125805,0.000023503082,0.0006472653,0.00048913626,0.00002036862,0.00008757294],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99793994,0.00006752579,0.0013908097,0.0003896501,0.00005119303,0.00016089823],"domain_scores_gemma":[0.9964087,0.00006660682,0.0028410233,0.00061460026,0.000024391999,0.000044698903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005796432,0.00027466423,0.0019334478,0.000072641415,0.0001264502,0.00006476909,0.00043061105,0.00014145172,0.000031397776],"category_scores_gemma":[0.00032149354,0.00018422643,0.00031263588,0.000068982205,0.000032417214,0.000102928214,0.00018024263,0.00017974222,0.00002164563],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012993221,0.00005336458,0.00038821332,0.9794706,0.00016289442,4.953224e-8,0.00013511664,3.5338596e-7,1.3099707e-9,0.00044065728,0.00053588004,0.018811546],"study_design_scores_gemma":[0.00018191006,0.000101086014,0.0010123268,0.83821124,0.00056356925,0.000004699103,0.000009217907,0.000009555119,2.9016928e-7,0.00038199738,0.1592762,0.00024791702],"about_ca_topic_score_codex":0.0000035057285,"about_ca_topic_score_gemma":0.0000017849918,"teacher_disagreement_score":0.15874031,"about_ca_system_score_codex":0.00009590651,"about_ca_system_score_gemma":0.000024831936,"threshold_uncertainty_score":0.7512536},"labels":[],"label_agreement":null},{"id":"W2610437239","doi":"","title":"Many Are Called But Few Are Chosen: Modeling the Selection Process for the Innovations in American Government Awards","year":2012,"lang":"en","type":"book","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Selection (genetic algorithm); Government (linguistics); Process (computing); Computer science; Political science; Artificial intelligence; Programming language; Philosophy; Linguistics","score_opus":0.1198218537987868,"score_gpt":0.24524498497238514,"score_spread":0.12542313117359832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610437239","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.246579,0.0061521046,0.2861502,0.015891248,0.0024601808,0.010386965,0.002918904,0.00020156952,0.42925984],"genre_scores_gemma":[0.8372079,0.00052058976,0.00013724023,0.00079902716,0.00042434584,0.0007470147,0.000097507116,0.00006507725,0.16000131],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998498,0.000010145929,0.00072903134,0.0003993386,0.00007465718,0.00028882708],"domain_scores_gemma":[0.998586,0.000091365175,0.00097499444,0.00029158025,0.00002259911,0.000033432465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007131246,0.0002477594,0.00043601546,0.00008453185,0.0002481692,0.00006050137,0.00027158798,0.0001476794,0.00022171938],"category_scores_gemma":[0.0000441412,0.00019546392,0.00012809607,0.00013029641,0.00007801884,0.0001693734,0.000057375102,0.00031272738,0.00013714294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016495792,0.0007060681,0.39805654,0.00054609485,0.0012133531,7.3702813e-7,0.0024427285,0.32262704,0.00001025988,0.22928092,0.029496303,0.015455007],"study_design_scores_gemma":[0.0013838324,0.00009444656,0.1303517,0.000102622216,0.000107646934,0.0000046198497,0.00417704,0.7380901,0.000024810504,0.023003442,0.10154513,0.0011146107],"about_ca_topic_score_codex":0.00030861737,"about_ca_topic_score_gemma":0.00050993887,"teacher_disagreement_score":0.59062886,"about_ca_system_score_codex":0.0015218245,"about_ca_system_score_gemma":0.000050445717,"threshold_uncertainty_score":0.7970787},"labels":[],"label_agreement":null},{"id":"W2611301414","doi":"10.1093/biosci/bix043","title":"Expanding the Portfolio: Conserving Nature's Masterpieces in a Changing World","year":2017,"lang":"en","type":"article","venue":"BioScience","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"ACT Government; Pacific Institute for Climate Solutions; University of Victoria; Centre of Excellence for Environmental Decisions, Australian Research Council","keywords":"Portfolio; Suite; Ecosystem services; Value (mathematics); Set (abstract data type); Environmental resource management; Selection (genetic algorithm); Ecosystem; Computer science; Business; Geography; Environmental science; Ecology; Archaeology; Finance","score_opus":0.10110374096975665,"score_gpt":0.26115335837461334,"score_spread":0.16004961740485668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611301414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413025,0.00045276375,0.0001757872,0.0014823219,0.00054538046,0.00009705841,0.0000064289984,0.00000797942,0.055929795],"genre_scores_gemma":[0.9957428,0.00006374056,0.00016557693,0.0004906024,0.00005033184,0.00001211091,7.334874e-7,0.000005233994,0.003468888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926454,0.000005422123,0.00021355685,0.00026072015,0.000025503594,0.00023026769],"domain_scores_gemma":[0.99933416,0.000025909118,0.00025782085,0.00035240647,0.0000018869224,0.000027814347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088355516,0.00006917095,0.000111697394,0.0003243546,0.00046532872,0.00021393332,0.00049592933,0.000036845042,0.00019593451],"category_scores_gemma":[0.000088507244,0.000062366016,0.00003141619,0.0001853355,0.00015145919,0.00045764114,0.00017949632,0.00010935915,0.00016774176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011621079,0.0000088674,0.9380843,0.000002584611,0.0000015710692,0.0000013805966,0.0002596248,0.000017660688,0.00013791664,0.06078493,0.000044239096,0.000655781],"study_design_scores_gemma":[0.00015106115,0.000006850293,0.98810923,0.000023209006,7.7681824e-7,0.0000019060435,0.0002425972,0.0026526835,0.00042344927,0.0040493263,0.004222342,0.00011655027],"about_ca_topic_score_codex":0.00012678995,"about_ca_topic_score_gemma":0.00013665567,"teacher_disagreement_score":0.0567356,"about_ca_system_score_codex":0.00007896737,"about_ca_system_score_gemma":0.000006212703,"threshold_uncertainty_score":0.35789794},"labels":[],"label_agreement":null},{"id":"W2611606101","doi":"10.1139/cjfas-2016-0294","title":"Evaluation of alternative modelling approaches to account for spatial effects due to age-based movement","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Population; Econometrics; Stock assessment; Stock (firearms); Process (computing); Mathematics; Geography; Ecology","score_opus":0.30507364105800455,"score_gpt":0.2516873360544675,"score_spread":0.05338630500353703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611606101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89818454,0.00016663261,0.09793253,0.0021847428,0.00031219173,0.00030511088,0.000016923406,4.278323e-7,0.00089688244],"genre_scores_gemma":[0.992848,0.000004373903,0.006828155,0.0002153287,0.00006285269,0.000017594035,8.536426e-7,0.0000040993227,0.000018759692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993015,0.000013818591,0.00032151342,0.00014325623,0.00008375006,0.00013616144],"domain_scores_gemma":[0.99924225,0.00005307026,0.0004155255,0.000099304096,0.000022460667,0.00016737526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002483248,0.00006606651,0.00020544654,0.00015863321,0.00028801194,0.00018264272,0.00021906568,0.000021679636,0.000033985478],"category_scores_gemma":[0.00032997428,0.00006509184,0.000041596533,0.000032648455,0.00013991422,0.0002620713,0.00001096594,0.000025992018,0.0000028977852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005398807,0.00007185752,0.31054956,0.00010593647,0.00017251616,0.000006346309,0.009657883,0.50014746,0.0000618509,0.027392445,0.0006099239,0.15117022],"study_design_scores_gemma":[0.0008117836,0.0006871931,0.1351649,0.00008941706,0.0000376117,0.0000011924293,0.0005072769,0.78781426,0.0006934781,0.0734507,0.0005622684,0.0001799243],"about_ca_topic_score_codex":0.00981974,"about_ca_topic_score_gemma":0.008460739,"teacher_disagreement_score":0.28766677,"about_ca_system_score_codex":0.0001487193,"about_ca_system_score_gemma":0.00017762966,"threshold_uncertainty_score":0.99677396},"labels":[],"label_agreement":null},{"id":"W2612034846","doi":"10.1787/95c2b371-en","title":"Possibilities and challenges in transfer and generalisation of monetary estimates for environmental and health benefits of regulating chemicals","year":2017,"lang":"en","type":"paratext","venue":"OECD environment working papers","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"European Commission; American Chemistry Council","keywords":"Valuation (finance); Ecosystem services; Value (mathematics); Business; Environmental resource management; Risk analysis (engineering); Environmental economics; Economics; Computer science; Ecosystem; Ecology","score_opus":0.1976345777040728,"score_gpt":0.24023115326863362,"score_spread":0.04259657556456081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612034846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8301502,0.16469812,0.000020890546,0.0004357206,0.00009524874,0.00056744245,0.00037379848,0.000002902315,0.003655667],"genre_scores_gemma":[0.82782096,0.16977839,0.0012661292,0.000024275409,0.000039903578,0.000044631037,0.00022074454,0.000033288536,0.0007716538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840647,0.000014867162,0.0007416685,0.0005787947,0.000043901724,0.00021427248],"domain_scores_gemma":[0.9991021,0.00008013482,0.0005137022,0.00024456406,4.5004427e-7,0.00005902701],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053109764,0.00025535523,0.00072978734,0.00011031554,0.00009199126,0.00001839864,0.00008336109,0.00020653942,0.00021243174],"category_scores_gemma":[0.000005002724,0.00031017937,0.00006023907,0.000005344018,0.00029643628,0.00009162743,0.0000699084,0.00009865174,0.0000091464535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013040172,0.00031391255,0.65862113,0.0034842235,0.00044647296,3.289494e-7,0.010608288,0.010984103,0.004137616,0.0038965766,0.000119987904,0.30725697],"study_design_scores_gemma":[0.0018748338,0.00029721772,0.9865926,0.0004946108,0.000047933725,0.0000036402691,0.00074019254,0.0016726851,0.0010774616,0.0013853635,0.0051613906,0.000652064],"about_ca_topic_score_codex":0.00009830679,"about_ca_topic_score_gemma":0.000013149768,"teacher_disagreement_score":0.3279715,"about_ca_system_score_codex":0.00014685685,"about_ca_system_score_gemma":0.0000048027646,"threshold_uncertainty_score":0.99993503},"labels":[],"label_agreement":null},{"id":"W2612304138","doi":"10.1007/s40547-017-0071-1","title":"Individuals’ Decisions in the Presence of Multiple Goals","year":2017,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Alberta","funders":"Australian Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Network for Studies on Pensions, Aging and Retirement","keywords":"Management science; Computer science; Decision maker; Key (lock); Conceptual framework; Identification (biology); Economics; Sociology","score_opus":0.17779309187171674,"score_gpt":0.2655253398614897,"score_spread":0.08773224798977294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612304138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805263,0.00081060984,0.00046332658,0.0007636377,0.000112097136,0.00014162702,0.00009995816,0.0000033803035,0.017079035],"genre_scores_gemma":[0.9987036,0.00069785205,0.00019442465,0.000064190135,0.000021637557,0.000025636902,0.000005906561,0.000004553056,0.00028219807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942434,0.00001272615,0.0002778645,0.00012393751,0.000023056211,0.00013808633],"domain_scores_gemma":[0.99928874,0.0001310028,0.00019035123,0.00035758852,0.000004388559,0.000027932094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006128457,0.00005878465,0.00014316279,0.00011964266,0.00036275314,0.000053725376,0.00025474068,0.000047504913,0.00006892591],"category_scores_gemma":[0.00023207974,0.000053099127,0.000041020354,0.00005661408,0.00018696582,0.00023676746,0.00009983723,0.00007472058,0.00013728668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.642807e-7,0.000047779435,0.8933168,0.0000017406892,0.000007747566,1.4600626e-7,0.0011535182,0.000089260604,0.0000144658525,0.10376162,0.000622807,0.0009831223],"study_design_scores_gemma":[0.0002954126,0.000011485486,0.97815937,0.000008441126,0.000003716866,0.0000012191682,0.0005938743,0.0012098107,0.0000067749447,0.009720023,0.009923449,0.000066435365],"about_ca_topic_score_codex":0.0003760143,"about_ca_topic_score_gemma":0.000087810105,"teacher_disagreement_score":0.09404159,"about_ca_system_score_codex":0.000019294666,"about_ca_system_score_gemma":0.0000053856274,"threshold_uncertainty_score":0.27900404},"labels":[],"label_agreement":null},{"id":"W2613312448","doi":"10.1111/cjag.12138","title":"Trust and Consumer Preferences for Pig Production Attributes in Canada","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"Ministry of Advanced Education, Government of Alberta","keywords":"Credence; Credence good; Production (economics); Business; Certification; Preference; Taste; Government (linguistics); Marketing; Psychology; Agricultural science; Economics; Information asymmetry; Microeconomics; Mathematics","score_opus":0.0971482345085657,"score_gpt":0.17156686606837146,"score_spread":0.07441863155980576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613312448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99092966,0.0009754083,0.0000053461995,0.0043255077,0.001963249,0.0003570511,0.00053522625,0.0000019874158,0.0009065887],"genre_scores_gemma":[0.99837554,0.00035420232,0.0001842575,0.0001353812,0.00035326433,0.000026788595,0.00003852856,0.000018469664,0.00051357393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978855,0.000011695912,0.0010932236,0.00042934954,0.0000055319933,0.0005746562],"domain_scores_gemma":[0.9975252,0.000062741296,0.00139795,0.00029040058,0.000048667072,0.00067499845],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005688933,0.00024163668,0.00067180087,0.00021440894,0.00039031345,0.00022988925,0.00047092844,0.00010326099,0.00017679279],"category_scores_gemma":[0.00027222765,0.00025576702,0.00011415896,0.000028348928,0.00014621513,0.0009822784,0.000026554817,0.00018635027,0.000017994076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001813042,0.0000073652836,0.98126394,0.000032638414,0.000092865645,0.000005512009,0.00033574342,0.001528695,0.0000059016425,0.013521123,0.001778967,0.0014091347],"study_design_scores_gemma":[0.00076878595,0.000095969095,0.9782539,0.000039414077,0.000017139182,0.00008806503,0.0009559599,0.00018744821,0.000046338293,0.008991329,0.0101902,0.00036546582],"about_ca_topic_score_codex":0.91787624,"about_ca_topic_score_gemma":0.9992327,"teacher_disagreement_score":0.08135645,"about_ca_system_score_codex":0.0037545252,"about_ca_system_score_gemma":0.00084448635,"threshold_uncertainty_score":0.99998945},"labels":[],"label_agreement":null},{"id":"W2613699079","doi":"","title":"Including social influence in choice models for electric vehicle purchase preferences: comparison of different model formulations","year":2017,"lang":"en","type":"article","venue":"International Choice Modelling Conference 2017","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Active listening; Phenomenon; Context (archaeology); Psychology; Social psychology; Face (sociological concept); Social influence; Cognition; Order (exchange); Economics; Sociology; Epistemology; Communication","score_opus":0.42622326558607,"score_gpt":0.359609441033031,"score_spread":0.06661382455303899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613699079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7073105,0.000056769153,0.28814346,0.0002238008,0.00013370243,0.00025802694,0.00012914254,0.00001121584,0.0037333786],"genre_scores_gemma":[0.99799603,0.00008322679,0.0013949198,0.000029734909,0.00010063638,0.00012100971,0.00006433137,0.000018947296,0.00019116368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834114,0.000009325374,0.0008398057,0.00043834542,0.00009970707,0.00027164695],"domain_scores_gemma":[0.9983897,0.000120257326,0.0010078979,0.00032399458,0.00010403953,0.000054104148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031263573,0.00018899053,0.00042353157,0.0002307955,0.00038730502,0.00018918184,0.0008128891,0.00013834014,0.00002841291],"category_scores_gemma":[0.00016680468,0.00022653354,0.00011566713,0.00003169768,0.000078298755,0.0012816925,0.00013977512,0.0001881562,0.000016233016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023434668,0.00015022323,0.22614637,0.000020405949,0.00003258393,6.347029e-8,0.00075371366,0.64541197,0.00030448544,0.12639377,0.000012723774,0.0007502791],"study_design_scores_gemma":[0.0006983846,0.000026287746,0.062202856,0.00003387545,0.000006654856,8.6875446e-8,0.000018562112,0.74333566,0.00020006587,0.19327466,0.000030304145,0.00017257547],"about_ca_topic_score_codex":0.00090229424,"about_ca_topic_score_gemma":0.00030077682,"teacher_disagreement_score":0.2906855,"about_ca_system_score_codex":0.00026225732,"about_ca_system_score_gemma":0.000037320013,"threshold_uncertainty_score":0.9237769},"labels":[],"label_agreement":null},{"id":"W2613928787","doi":"10.7939/r3rv0dc3n","title":"Matching goals and outcomes of park interpretation using the Theory of Planned Behaviour: A case study of Alberta's Provincial Parks","year":2016,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Theory of planned behavior; Matching (statistics); Geography; Environmental planning; Environmental resource management; Regional science; Computer science; Statistics; Environmental science; Mathematics; Control (management); Artificial intelligence","score_opus":0.02669311297851932,"score_gpt":0.19207459289584983,"score_spread":0.16538147991733052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613928787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982048,0.00003625333,0.0003259055,0.000074287935,0.00003154858,0.00020826478,0.00003374624,0.00000184968,0.001083289],"genre_scores_gemma":[0.99933356,0.000017290926,0.00018341429,0.000009729573,0.0000037133725,2.2602235e-7,0.000003943831,0.000007097157,0.00044104777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941695,0.000045999124,0.00031027696,0.0001399263,0.000021599632,0.00006524381],"domain_scores_gemma":[0.9989246,0.00036448002,0.0005282607,0.00015711681,0.000004216535,0.000021310741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015656745,0.000070953385,0.0002750241,0.000089672874,0.000044821285,0.000003611483,0.000120017845,0.00004392501,0.00018912184],"category_scores_gemma":[0.000017007545,0.00006118615,0.000059680304,0.000036548,0.00012354113,0.00047809447,0.000114039096,0.0000313112,0.0000016592256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011525865,0.00014706461,0.97333735,0.000017961609,0.00009050279,0.0000023677906,0.021679608,0.00006369161,0.000035626952,0.004159644,0.0000071599816,0.000343787],"study_design_scores_gemma":[0.0017582014,0.0003786072,0.94643825,0.00006257021,0.00009774462,0.0000112344005,0.04524182,0.0006769716,0.00037264673,0.0047868458,0.000015162435,0.00015991354],"about_ca_topic_score_codex":0.012345338,"about_ca_topic_score_gemma":0.0012438814,"teacher_disagreement_score":0.026899045,"about_ca_system_score_codex":0.00001659084,"about_ca_system_score_gemma":0.00001177004,"threshold_uncertainty_score":0.9942315},"labels":[],"label_agreement":null},{"id":"W2614645891","doi":"","title":"Valuing Seafood Attributes by a Stated Choice Model","year":2012,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geography; Computer science","score_opus":0.11650417308168536,"score_gpt":0.23439603470748446,"score_spread":0.11789186162579911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614645891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658293,0.00072118104,0.0032323874,0.00018623538,0.000044649758,0.00036328583,0.0044062403,0.000028076423,0.025188603],"genre_scores_gemma":[0.9760418,0.00020415183,0.0010448706,0.000014033025,0.000031995954,2.0270667e-7,0.00014919428,0.000037252066,0.022476528],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99791616,0.00013250185,0.0003621782,0.00053010817,0.0002954014,0.0007636573],"domain_scores_gemma":[0.99829924,0.0001692892,0.0005597718,0.00049289264,0.000119870245,0.00035891333],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020491178,0.00023979382,0.0005553926,0.00046079076,0.0004934657,0.00002136463,0.000790376,0.0002665529,0.0119496975],"category_scores_gemma":[0.000084463456,0.00035905893,0.00028332527,0.00042167018,0.00072136964,0.0005422129,0.0004488013,0.00042504256,0.0049050464],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029752174,0.00078496983,0.95503414,0.00015849853,0.00057579344,0.000017689645,0.025466088,0.0009102166,0.0014181888,0.002301291,0.012177887,0.0008576938],"study_design_scores_gemma":[0.013337704,0.0008355144,0.13506386,0.00037028262,0.00039919408,0.000022760909,0.73945016,0.05882484,0.0005964919,0.009032358,0.038766675,0.0033001534],"about_ca_topic_score_codex":0.0043056593,"about_ca_topic_score_gemma":0.0003849145,"teacher_disagreement_score":0.8199703,"about_ca_system_score_codex":0.00022553717,"about_ca_system_score_gemma":0.00006942845,"threshold_uncertainty_score":0.99988616},"labels":[],"label_agreement":null},{"id":"W2614668660","doi":"10.1177/1087724x17709482","title":"Risk in Public Sector Project Appraisal: It Mostly Does Not Matter!","year":2017,"lang":"en","type":"article","venue":"Public Works Management & Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Social discount rate; Cost–benefit analysis; Discounting; Risk premium; Actuarial science; Net present value; Economics; Expected utility hypothesis; Business; Systematic risk; Consumption (sociology); Risk management; Risk analysis (engineering); Finance; Microeconomics; Econometrics; Production (economics); Financial economics","score_opus":0.10821354542265486,"score_gpt":0.27623791360806743,"score_spread":0.16802436818541255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614668660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5253986,0.00011036856,0.0016078249,0.07167704,0.00093949673,0.0010581265,0.00015429009,0.00009486174,0.39895937],"genre_scores_gemma":[0.98833996,0.0006844397,0.0006401389,0.0016389912,0.00031970913,0.00028344023,0.000054170083,0.000057080113,0.007982081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766195,0.000042846557,0.0007594582,0.0007388023,0.00007625732,0.00072069344],"domain_scores_gemma":[0.9977565,0.00004772228,0.0008536304,0.0012101795,0.000009015581,0.00012298192],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012691907,0.00027801367,0.0004032941,0.0009163995,0.0003925921,0.0013938466,0.0009750513,0.00013490053,0.0014127615],"category_scores_gemma":[0.00021709266,0.00029027087,0.000142973,0.00023497823,0.00013680893,0.0018159972,0.0005906597,0.00025442877,0.0021216443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000079949605,0.0001570584,0.7088287,0.000035148092,0.00010684611,0.000002479376,0.00025531132,0.000038334096,5.4077873e-7,0.27282888,0.005189505,0.012549247],"study_design_scores_gemma":[0.0009723419,0.000017157428,0.8369005,0.000014061167,0.00000818869,7.2621856e-7,0.00025265478,0.001029118,0.0000030148394,0.010822497,0.14962317,0.0003566118],"about_ca_topic_score_codex":0.0022017881,"about_ca_topic_score_gemma":0.00046167488,"teacher_disagreement_score":0.46294132,"about_ca_system_score_codex":0.00045621413,"about_ca_system_score_gemma":0.000024609752,"threshold_uncertainty_score":0.99995494},"labels":[],"label_agreement":null},{"id":"W2615023107","doi":"10.2139/ssrn.2968909","title":"Stochastic Revealed Preferences with Measurement Error: Testing for Exponential Discounting in Survey Data","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Econometrics; Statistics; Discounting; Exponential function; Survey data collection; Observational error; Mathematics; Computer science; Actuarial science; Economics","score_opus":0.38042909704908534,"score_gpt":0.286228935525606,"score_spread":0.09420016152347932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615023107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94573677,0.00091678754,0.052127514,0.00015378797,0.00018350147,0.0002808714,0.00007098701,0.0000060397415,0.00052373006],"genre_scores_gemma":[0.99902517,0.00010387453,0.0005184537,0.000010531723,0.00014303948,0.000018109207,0.000038104045,0.000020470668,0.00012223715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809724,0.000026932914,0.000490316,0.00036777827,0.000067759014,0.0009499728],"domain_scores_gemma":[0.998631,0.00006141591,0.0007889956,0.0004532921,0.00002580202,0.000039493145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008274682,0.00012887169,0.000258822,0.000083592466,0.0004343464,0.00019220647,0.00065612636,0.00004407266,0.000019214354],"category_scores_gemma":[0.00075905677,0.00012726035,0.000029289737,0.000033345663,0.00005089793,0.0007367069,0.00010382581,0.00043185387,0.000023765608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006758067,0.00005688496,0.98981106,0.0000082837305,0.00008200832,2.7298344e-7,0.00007343291,0.0010574113,0.000016849923,0.0051596644,0.000014865602,0.0036516562],"study_design_scores_gemma":[0.0015565195,0.0002477839,0.91816324,0.000057141126,0.000015033417,0.000017099748,0.00030753942,0.010182364,0.000002509427,0.06918703,0.000025768923,0.00023796462],"about_ca_topic_score_codex":0.0012336206,"about_ca_topic_score_gemma":0.018882513,"teacher_disagreement_score":0.071647845,"about_ca_system_score_codex":0.0008238718,"about_ca_system_score_gemma":0.00029570903,"threshold_uncertainty_score":0.99902034},"labels":[],"label_agreement":null},{"id":"W2615025248","doi":"","title":"Valuing ecosystem goods and services in the Columbia River basin","year":2015,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ecosystem services; Ecosystem; Goods and services; Environmental resource management; Geography; Environmental science; Business; Water resource management; Ecology; Economics; Economy","score_opus":0.04476376525628275,"score_gpt":0.18306334310381006,"score_spread":0.1382995778475273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615025248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768852,0.00020663877,0.00007624269,0.00019924904,0.00011293324,0.00014554258,0.000051326704,0.000013021614,0.02230982],"genre_scores_gemma":[0.99854064,0.000086955595,0.000103292594,0.00019540146,0.000028166043,9.2945226e-7,0.000016014274,0.00000814186,0.0010204875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993418,0.000044940076,0.00017585263,0.00025513972,0.000030185427,0.00015208947],"domain_scores_gemma":[0.9996012,0.000032630865,0.00011661369,0.0001811606,0.000005280844,0.00006310236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005118195,0.00008304397,0.00016992673,0.00012942604,0.000081684964,0.000064596294,0.00021812903,0.00007121838,0.00009415427],"category_scores_gemma":[0.000006732796,0.00010579128,0.00003654597,0.00018045105,0.00004120382,0.00040674588,0.00007238688,0.00008848313,0.00023895103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063015286,0.000026095542,0.99423516,0.000012208948,0.0000111910995,0.000008520243,0.00025343033,0.00013331303,9.1810755e-8,0.00400481,0.0011301967,0.00017870597],"study_design_scores_gemma":[0.0017779197,0.00007461342,0.69436556,0.000025410916,0.000017204553,3.536811e-8,0.038077578,0.0036898584,0.000007147596,0.004613952,0.25706103,0.0002897103],"about_ca_topic_score_codex":0.003173832,"about_ca_topic_score_gemma":0.08608568,"teacher_disagreement_score":0.2998696,"about_ca_system_score_codex":0.00020240022,"about_ca_system_score_gemma":0.000008563878,"threshold_uncertainty_score":0.93059087},"labels":[],"label_agreement":null},{"id":"W2615813500","doi":"10.1016/j.jval.2017.04.007","title":"Testing the External Validity of a Discrete Choice Experiment Method: An Application to Latent Tuberculosis Infection Treatment","year":2017,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health; St. Paul's Hospital; Centre for Advancing Health Outcomes; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"","keywords":"Latent tuberculosis; Tuberculosis; Medicine; Computer science; Mycobacterium tuberculosis; Pathology","score_opus":0.3093331670386622,"score_gpt":0.3579243593893773,"score_spread":0.04859119235071507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615813500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97866255,0.00014852581,0.019040631,0.0010172934,0.00014081558,0.0006051547,0.000023110646,0.00000906457,0.00035286698],"genre_scores_gemma":[0.9921594,0.00013407593,0.0073002093,0.00009589133,0.00008384313,0.00018442248,0.000006177688,0.000011424628,0.000024551406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989008,0.00008242568,0.00052317785,0.00029770072,0.00003132383,0.00016459188],"domain_scores_gemma":[0.9988039,0.00008798294,0.0005317631,0.0004957125,0.000005854906,0.0000747592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013782824,0.00009632089,0.00022699816,0.00006769325,0.00023910051,0.000040451647,0.00013727405,0.00003638717,0.00001964323],"category_scores_gemma":[0.00008574265,0.00008750319,0.00004715027,0.00004637403,0.000023637936,0.00018405859,0.00004548355,0.00005272481,0.000042938078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053230406,0.00011244059,0.94664234,0.000016919019,0.0000074069553,5.5974503e-8,0.00079913164,0.034190163,0.00027249006,0.0037094909,0.0000029402627,0.014241288],"study_design_scores_gemma":[0.0002609301,0.0002927019,0.9243901,0.00002264389,0.0000026708701,8.068074e-7,0.000022932712,0.07137781,0.0005892335,0.0025659378,0.0003959871,0.000078280544],"about_ca_topic_score_codex":0.10772618,"about_ca_topic_score_gemma":0.00032686882,"teacher_disagreement_score":0.107399315,"about_ca_system_score_codex":0.0006741013,"about_ca_system_score_gemma":0.00001693859,"threshold_uncertainty_score":0.89821553},"labels":[],"label_agreement":null},{"id":"W2616708772","doi":"10.1136/bmjopen-2016-014719","title":"Do patients and health care providers have discordant preferences about which aspects of treatments matter most? Evidence from a systematic review of discrete choice experiments","year":2017,"lang":"en","type":"review","venue":"BMJ Open","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; Centre for Advancing Health Outcomes; St. Paul's Hospital; McGill University; University of British Columbia","funders":"Canadian Rheumatology Association","keywords":"Medicine; Health care; Alternative medicine; Health services research; Family medicine; Health economics; MEDLINE; Public health; Nursing; Pathology","score_opus":0.4012251840373999,"score_gpt":0.4343920025951058,"score_spread":0.033166818557705924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616708772","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005147377,0.97645307,0.0000052885957,0.000056992878,0.000132803,0.019009467,0.0011781628,0.0000027869712,0.0026467047],"genre_scores_gemma":[0.005959247,0.9896859,0.00017666502,0.000087173314,0.000019233354,0.003284704,0.000513439,0.00004128644,0.00023235942],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9963424,0.00017107837,0.0024052118,0.00075119664,0.000108765074,0.00022134403],"domain_scores_gemma":[0.99244297,0.0001090113,0.0061993105,0.0011175019,0.00003166371,0.00009956808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008084605,0.00040905896,0.0039818105,0.00009469885,0.00010563141,0.0001671502,0.00090598804,0.00009618863,0.00021422864],"category_scores_gemma":[0.00024039135,0.00033520916,0.00020856346,0.000057652825,0.00006865707,0.0006895116,0.0005714168,0.00010988981,0.00012908272],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072773314,0.000089655674,0.06484606,0.92363346,0.00055493467,3.8027378e-7,0.00093138864,2.8516732e-7,1.397592e-8,0.000079031095,0.000240859,0.009616675],"study_design_scores_gemma":[0.0005705617,0.0002463913,0.025087355,0.9707775,0.0005644222,0.0000012103446,0.00018874322,0.0000040405016,0.0000011211455,0.00016145123,0.0019292504,0.00046794408],"about_ca_topic_score_codex":0.0053572473,"about_ca_topic_score_gemma":0.00022772024,"teacher_disagreement_score":0.047144074,"about_ca_system_score_codex":0.00042643488,"about_ca_system_score_gemma":0.00019237689,"threshold_uncertainty_score":0.99991},"labels":[],"label_agreement":null},{"id":"W2621615157","doi":"10.1016/j.mod.2017.04.035","title":"Expanding the ciliopathy spectrum","year":2017,"lang":"en","type":"article","venue":"Mechanisms of Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ciliopathy; Biology; Evolutionary biology; Computational biology; Genetics","score_opus":0.08396759986484494,"score_gpt":0.2172679474799712,"score_spread":0.13330034761512627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621615157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.922251,0.00016674565,0.045975123,0.0011786313,0.0006592255,0.00020784573,0.000010990037,0.00001412525,0.02953634],"genre_scores_gemma":[0.994936,0.000032376527,0.0037867534,0.00008067363,0.000024193932,0.000020886337,0.0000034422956,0.000009754438,0.0011059411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99928445,0.00000396789,0.00035267806,0.0001838349,0.000030502864,0.0001445842],"domain_scores_gemma":[0.9991831,0.00000934675,0.00040046833,0.00037685817,0.0000027356643,0.000027495957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006327441,0.000081294726,0.00016329483,0.000045532302,0.00037755418,0.00005081328,0.00034407602,0.000034999226,0.0005407235],"category_scores_gemma":[0.000025827985,0.00007429149,0.000044378885,0.000014383702,0.000039944844,0.00013779289,0.000103538616,0.000047572306,0.0006064687],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010787872,0.00008986889,0.13805567,0.000023727207,0.0000905667,0.0000019945821,0.0019462708,0.000059747912,0.0016543125,0.8520876,0.0002387075,0.005740758],"study_design_scores_gemma":[0.00044763155,0.000045755198,0.6358158,0.000017423617,0.0000036225115,0.0000022050647,0.0002412689,0.0001395314,0.09227649,0.26692712,0.003861919,0.00022123646],"about_ca_topic_score_codex":0.000038958933,"about_ca_topic_score_gemma":0.000013136793,"teacher_disagreement_score":0.5851605,"about_ca_system_score_codex":0.00009634732,"about_ca_system_score_gemma":0.000013047649,"threshold_uncertainty_score":0.77951306},"labels":[],"label_agreement":null},{"id":"W2622124186","doi":"10.1016/j.jocm.2017.11.003","title":"Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling","year":2017,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Toronto Metropolitan University","funders":"Fonds de recherche du Québec – Nature et technologies; Ryerson University","keywords":"Latent variable; Latent class model; Latent variable model; Discriminative model; Graphical model; Probabilistic latent semantic analysis; Boltzmann machine; Robustness (evolution); Generative model","score_opus":0.16022692900406607,"score_gpt":0.26893096574908915,"score_spread":0.10870403674502307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622124186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2878859,0.0009893595,0.709157,0.00043661392,0.00022720662,0.00014239126,0.00015708615,0.0000042874767,0.0010001678],"genre_scores_gemma":[0.9773312,0.0005910855,0.021075552,0.000074115545,0.00035044603,0.000009855089,0.000036718196,0.000026142707,0.000504836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998703,0.00001158626,0.00076183875,0.00024790835,0.000060295384,0.00021539695],"domain_scores_gemma":[0.998054,0.0001809544,0.0013949848,0.0002059736,0.000054144843,0.00010991177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005935154,0.00015421322,0.00039527367,0.00013711731,0.0004576642,0.00018801317,0.00024235398,0.00008653549,0.000048897473],"category_scores_gemma":[0.00011716449,0.00016049348,0.00012216634,0.000024483626,0.00007385943,0.0010491131,0.00005536724,0.0002088177,0.000008601709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035932044,0.00005673594,0.054434605,0.000036341087,0.00011147023,8.8415567e-7,0.00018609478,0.9064599,0.00003400546,0.038423073,0.000100151,0.00012075982],"study_design_scores_gemma":[0.0012349297,0.00009456874,0.025626969,0.000046005895,0.000041816893,0.0000062232075,0.000016810724,0.86843723,0.00002945044,0.10195987,0.0023298797,0.0001762312],"about_ca_topic_score_codex":0.0003081856,"about_ca_topic_score_gemma":0.00000801228,"teacher_disagreement_score":0.6894453,"about_ca_system_score_codex":0.00013387739,"about_ca_system_score_gemma":0.0000182885,"threshold_uncertainty_score":0.6544734},"labels":[],"label_agreement":null},{"id":"W2622261492","doi":"10.1016/j.trpro.2017.05.188","title":"Type Choice Behavior of Alternative Fuel Vehicles: A Latent Class Model Approach","year":2017,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Pittsburgh","keywords":"Alternative fuel vehicle; Latent class model; Econometrics; Latent variable; Sample (material); Electric vehicle; Diesel fuel; Travel survey; Class (philosophy); Economics; Computer science; Travel behavior; Engineering; Alternative fuels; Microeconomics; Mathematics; Automotive engineering; Statistics; Power (physics)","score_opus":0.36378365935360885,"score_gpt":0.3539604081375545,"score_spread":0.009823251216054318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622261492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99119914,0.00016749545,0.0011958629,0.0001313851,0.000068333946,0.00047585598,0.00017092013,0.000017331857,0.0065736957],"genre_scores_gemma":[0.99719703,0.00029816828,0.0013306051,0.0000189143,0.000045242483,0.00014684208,0.000090757734,0.000026434944,0.00084600545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887055,0.000010069542,0.00043200454,0.00033968056,0.00011039602,0.00023730793],"domain_scores_gemma":[0.9991651,0.000024683353,0.00031161684,0.00033488485,0.00008241774,0.00008125519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071109587,0.00009561924,0.00021133762,0.00013835084,0.00017591483,0.000046801197,0.00034203494,0.0000875922,0.00008999363],"category_scores_gemma":[0.00007523478,0.00011066902,0.00006024409,0.00006734138,0.00019749267,0.00042402983,0.000014880168,0.00020256273,0.00018554882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039447703,0.00027171153,0.9205619,0.00013109374,0.00003526705,0.0000011299704,0.0019347416,0.0043886327,0.00024094395,0.071825325,0.00016130984,0.0004085051],"study_design_scores_gemma":[0.0006013956,0.00009037257,0.9511619,0.000011000266,0.000007363921,1.2200123e-7,0.00010567635,0.039718773,0.00025703554,0.007744187,0.00018342567,0.00011873972],"about_ca_topic_score_codex":0.0006866922,"about_ca_topic_score_gemma":0.000114475006,"teacher_disagreement_score":0.06408114,"about_ca_system_score_codex":0.00009173027,"about_ca_system_score_gemma":0.00003633467,"threshold_uncertainty_score":0.45129514},"labels":[],"label_agreement":null},{"id":"W2636408194","doi":"10.1016/j.jsr.2017.06.006","title":"Estimating the value of life and injury for pedestrians using a stated preference framework","year":2017,"lang":"en","type":"article","venue":"Journal of Safety Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pedestrian; Willingness to pay; Mixed logit; Value of time; Poison control; Value (mathematics); Revealed preference; Transport engineering; Injury prevention; Occupational safety and health; Statistics; Logistic regression; Environmental health; Economics; Engineering; Medicine; Econometrics; Mathematics; Travel time","score_opus":0.45335688861263346,"score_gpt":0.3911845760505592,"score_spread":0.06217231256207428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2636408194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716326,0.00042682377,0.026176592,0.001011608,0.0001378331,0.00017964028,0.000050767667,8.8329205e-7,0.00038323356],"genre_scores_gemma":[0.9813282,0.0003210561,0.01813567,0.000019198958,0.00013930316,0.0000024371157,6.459431e-7,0.000008983203,0.000044505665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990247,0.000038577447,0.0006005105,0.000107431755,0.00006712344,0.00016166475],"domain_scores_gemma":[0.9984337,0.00035977468,0.0008519031,0.00022895973,0.00006141291,0.0000642627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004213922,0.000053853197,0.00023430177,0.000093287956,0.00045092645,0.00009276737,0.00030805325,0.0000605552,0.000048877584],"category_scores_gemma":[0.0020455692,0.000045033426,0.000056972993,0.000039039216,0.00020175928,0.0002855147,0.000081332655,0.0002817167,0.000004756175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000697104,0.00015866927,0.91008043,0.00013747359,0.00021307539,0.0000011625567,0.0019276766,0.012204962,0.00053132675,0.062172756,0.00026077378,0.011614613],"study_design_scores_gemma":[0.0010308577,0.00054281205,0.69051766,0.00018096899,0.000011687989,0.0000073144597,0.00045631416,0.17469469,0.00015988339,0.13178702,0.00048610318,0.00012469244],"about_ca_topic_score_codex":0.000113954105,"about_ca_topic_score_gemma":0.0000020975774,"teacher_disagreement_score":0.21956274,"about_ca_system_score_codex":0.00009308411,"about_ca_system_score_gemma":0.00007078214,"threshold_uncertainty_score":0.34682074},"labels":[],"label_agreement":null},{"id":"W2707150550","doi":"10.1016/j.jenvman.2017.05.055","title":"Landowner preferences for wetlands conservation programs in two Southern Ontario watersheds","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Kementerian Sumber Asli dan Alam Sekitar; Ministry of Natural Resources","keywords":"Wetland; Incentive; Ecosystem services; Business; Wetland conservation; Land tenure; Natural resource economics; Easement; Environmental resource management; Natural resource; Environmental planning; Willingness to accept; Willingness to pay; Agriculture; Environmental protection; Ecosystem; Environmental science; Geography; Economics; Ecology","score_opus":0.12253227506429792,"score_gpt":0.22786207967146008,"score_spread":0.10532980460716215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2707150550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99440646,0.00007084422,0.00038991138,0.00038958492,0.00024480757,0.00033835217,0.000025073288,0.0000023014566,0.004132642],"genre_scores_gemma":[0.99409413,0.00010723463,0.0014625401,0.000105896506,0.000058963007,0.00003061716,0.000024217838,0.000011517129,0.0041048783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904174,0.000007641082,0.00057057163,0.00017132393,0.00004773732,0.0001610178],"domain_scores_gemma":[0.99900496,0.000008646206,0.00074239424,0.00020013501,0.0000016816342,0.000042189204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000583101,0.000108534034,0.00023705226,0.000098216005,0.00010578778,0.00009552882,0.00025153378,0.000030918487,0.00035607736],"category_scores_gemma":[0.0000041043927,0.00010214035,0.000100198544,0.0000089944715,0.000057797824,0.0003541418,0.00007511896,0.00008194089,0.00010784994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053455566,0.00016787456,0.99392384,0.0000123422615,0.000068482266,0.0000033327747,0.00061440514,0.00012377341,0.000019131277,0.0009399388,0.00007160223,0.004001816],"study_design_scores_gemma":[0.0025809503,0.00014945373,0.9755896,0.00002636697,0.000018123323,0.0000026194568,0.0005794001,0.00018819317,0.000018816509,0.010024185,0.010691284,0.00013102053],"about_ca_topic_score_codex":0.0013684506,"about_ca_topic_score_gemma":0.0045166076,"teacher_disagreement_score":0.01833426,"about_ca_system_score_codex":0.0003219579,"about_ca_system_score_gemma":0.0000036461756,"threshold_uncertainty_score":0.41651627},"labels":[],"label_agreement":null},{"id":"W272410741","doi":"10.7202/1085731ar","title":"La méthode de conversion de la cote de rendement au collégial (cotes R) en moyenne cumulative exprimée en pourcentage","year":2007,"lang":"fr","type":"article","venue":"Mesure et évaluation en éducation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","score_opus":0.09441844726250422,"score_gpt":0.3197603024351916,"score_spread":0.2253418551726874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W272410741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8068461,0.0006307827,0.17945041,0.00420275,0.0009844945,0.00050722295,0.000087097236,0.000033791282,0.007257394],"genre_scores_gemma":[0.973401,0.0013611066,0.017989114,0.00058690325,0.00051485014,0.000049555907,0.00035557902,0.000060990275,0.005680884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99372727,0.0039135213,0.0009902524,0.0005926937,0.00016124127,0.0006150531],"domain_scores_gemma":[0.9957691,0.002948099,0.0007485526,0.00031724275,0.00004167487,0.00017533092],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.048970997,0.00031171596,0.00039044474,0.00029274938,0.00022698012,0.000109184955,0.00022044082,0.00064772007,0.0013222094],"category_scores_gemma":[0.0013861263,0.00044817833,0.00016211244,0.0001852733,0.00015269946,0.00045968278,0.00008384188,0.00046217215,0.00039073525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012729969,0.000652223,0.746678,0.00011968719,0.00018935758,0.0000048619745,0.17438844,0.032817896,0.001852708,0.026441412,0.0026523003,0.014075831],"study_design_scores_gemma":[0.0016363007,0.00011744487,0.9207559,0.00008542306,0.00011219251,0.000021078378,0.0047054742,0.043085363,0.0024304905,0.010721742,0.015906328,0.00042223016],"about_ca_topic_score_codex":0.0017567708,"about_ca_topic_score_gemma":0.00028946146,"teacher_disagreement_score":0.17407794,"about_ca_system_score_codex":0.011739536,"about_ca_system_score_gemma":0.0006883115,"threshold_uncertainty_score":0.999797},"labels":[],"label_agreement":null},{"id":"W2725692714","doi":"10.1016/j.jclepro.2017.07.001","title":"Increasing the influence of CO2 emissions information on car purchase","year":2017,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université Laval","funders":"Research Executive Agency; Institute for the Social Sciences, Cornell University; National Science Foundation","keywords":"Contextualization; Greenhouse gas; Willingness to pay; Affect (linguistics); Test (biology); Environmental economics; Climate change; Economics; Marketing; Advertising; Business; Psychology; Computer science; Microeconomics; Interpretation (philosophy)","score_opus":0.06955975952507978,"score_gpt":0.22993496685407824,"score_spread":0.16037520732899846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725692714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94567156,0.00001645394,0.00018577426,0.00062781083,0.000055396722,0.00009601779,0.000027949472,0.0000057986963,0.053313263],"genre_scores_gemma":[0.9992581,0.000049403483,0.00014357537,0.00028167365,0.000014776059,0.000006847623,0.0000071934687,0.0000031917264,0.00023523491],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952644,0.000005838317,0.00029570368,0.000076643446,0.00001828053,0.00007707699],"domain_scores_gemma":[0.9991594,0.000033080672,0.0003879035,0.00038525058,0.0000060927728,0.000028305785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044645398,0.000052241056,0.00010014856,0.00003978044,0.00027282062,0.000054421405,0.00020279264,0.000034822333,0.00022271737],"category_scores_gemma":[0.0002473292,0.00004329711,0.000035036723,0.00001374315,0.00007916798,0.00061115075,0.000056743913,0.00005296534,0.0005993324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019403617,0.000035079847,0.779997,0.000010559037,0.000019125051,1.2207622e-7,0.00067661586,0.0075169043,0.00015473909,0.20878837,0.00032162567,0.0024604634],"study_design_scores_gemma":[0.00022354924,0.000025645248,0.9876696,0.000009031849,0.0000019195522,9.428741e-7,0.00009876211,0.0017483158,0.00026383108,0.0046033063,0.0052900296,0.0000650531],"about_ca_topic_score_codex":0.00078719197,"about_ca_topic_score_gemma":0.000005650956,"teacher_disagreement_score":0.20767261,"about_ca_system_score_codex":0.000045444023,"about_ca_system_score_gemma":0.0000055837722,"threshold_uncertainty_score":0.7703405},"labels":[],"label_agreement":null},{"id":"W2730149356","doi":"10.2139/ssrn.2963863","title":"Pairwise Normalization: A Neuroeconomic Theory of Multi-Attribute Choice","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pairwise comparison; Normalization (sociology); Mathematical economics; Econometrics; Mathematics; Economics; Statistics; Sociology","score_opus":0.07509344027599228,"score_gpt":0.23598077164640752,"score_spread":0.16088733137041522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730149356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587961,0.00291788,0.03493251,0.0005165821,0.00045439362,0.0001389547,0.000035216915,0.000012568272,0.0021958344],"genre_scores_gemma":[0.9931466,0.0036227314,0.00010287071,0.00009060254,0.00016378789,0.0000057594343,0.000008468582,0.000024609371,0.002834559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982759,0.000029524088,0.00060008245,0.00023574868,0.000025574418,0.00083321787],"domain_scores_gemma":[0.9983791,0.00003493449,0.0010999725,0.00040884613,0.00001418558,0.00006293785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021124133,0.00013318984,0.00028909612,0.00010521438,0.0003900748,0.000086159525,0.0004762341,0.000070901726,0.00032230435],"category_scores_gemma":[0.00016665307,0.00015548649,0.00015181478,0.000023619692,0.000102979546,0.00062812265,0.000075451695,0.0004741604,0.00035997626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010895421,0.0000630981,0.6505582,0.0000051404427,0.00009532127,4.3145448e-7,0.000074516414,0.000366805,0.000018868095,0.34650037,0.00003411346,0.0022722622],"study_design_scores_gemma":[0.0018865219,0.00016965486,0.79622185,0.000010217526,0.000021267073,0.000054063363,0.00024071262,0.0015364802,0.000092109934,0.19688538,0.002613911,0.00026780608],"about_ca_topic_score_codex":0.00011389681,"about_ca_topic_score_gemma":0.00020758063,"teacher_disagreement_score":0.14961499,"about_ca_system_score_codex":0.0005517662,"about_ca_system_score_gemma":0.00014048227,"threshold_uncertainty_score":0.6340555},"labels":[],"label_agreement":null},{"id":"W2731995087","doi":"","title":"Estimation of the Mixed Logit Likelihood Function by Randomized Quasi-Monte Carlo","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sobol sequence; Monte Carlo method; Mathematics; Logit; Statistics; Variance (accounting); Quasi-Monte Carlo method; Econometrics; Hybrid Monte Carlo; Markov chain Monte Carlo; Economics","score_opus":0.035129493063315725,"score_gpt":0.24522548157998883,"score_spread":0.2100959885166731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2731995087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97008085,0.00014872616,0.00012469593,0.00040470355,0.00072646077,0.0006579107,0.00006592476,0.000013507122,0.02777724],"genre_scores_gemma":[0.99750954,0.0007558729,0.00026369406,0.000070300186,0.000057625304,0.0001350046,0.000020589665,0.00002951813,0.0011578399],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801666,0.00012082359,0.00095244293,0.0004606227,0.00006217765,0.00038726063],"domain_scores_gemma":[0.9984983,0.00036938,0.00043906356,0.00059405057,0.000017997596,0.000081197075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036068917,0.00015935481,0.00054024026,0.00020271179,0.0001423851,0.00005018887,0.0003530985,0.00020543787,0.0003249719],"category_scores_gemma":[0.0006366747,0.00015430717,0.00021567523,0.00012329128,0.0004075973,0.0002608944,0.00013214618,0.000518993,0.00009244292],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056461166,0.0014861681,0.36400878,0.00015882104,0.0005083261,0.0000015677165,0.0014926046,0.034756903,0.0027826459,0.076748155,0.0013587733,0.5110511],"study_design_scores_gemma":[0.06735924,0.00039834372,0.26883492,0.00007345429,0.000046605797,0.000010263844,0.0009118176,0.5671924,0.0028288185,0.06986708,0.021340372,0.0011366999],"about_ca_topic_score_codex":0.00028152825,"about_ca_topic_score_gemma":0.0003084939,"teacher_disagreement_score":0.5324355,"about_ca_system_score_codex":0.00029172073,"about_ca_system_score_gemma":0.000046104706,"threshold_uncertainty_score":0.6292464},"labels":[],"label_agreement":null},{"id":"W2735175973","doi":"10.1139/cjfr-2017-0014","title":"Assessing economic impacts of internet adoption through reduced pulp and paper demand","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computable general equilibrium; Gross domestic product; Newsprint; Per capita; The Internet; Agricultural economics; Economics; Consumption (sociology); Economic impact analysis; Natural resource economics; Engineering; Economic growth; Computer science; Pulp and paper industry; Macroeconomics; Microeconomics","score_opus":0.2263400826010769,"score_gpt":0.33931548940653183,"score_spread":0.11297540680545493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735175973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98692477,0.0012446247,0.00009381727,0.00066244695,0.00021790781,0.000078196375,0.000018431185,6.524319e-7,0.0107591385],"genre_scores_gemma":[0.9989603,0.00041229068,0.0002785397,0.000020649199,0.00012491806,0.0000015112257,0.0000030587973,0.0000123564405,0.00018633377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990289,0.000028327966,0.0004926818,0.00014482258,0.00003579664,0.0002694503],"domain_scores_gemma":[0.9988912,0.00004422634,0.00053642906,0.00023256382,0.000032996246,0.000262598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018600747,0.000072277646,0.00024209573,0.00025666106,0.00023387391,0.00035217457,0.0002823461,0.00007925295,0.00042828833],"category_scores_gemma":[0.00023335061,0.0000789764,0.00005906418,0.000021709675,0.00030426678,0.0015229384,0.000036768855,0.00022421539,0.00006128094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000885059,0.0000067747883,0.9790331,0.000018609639,0.00003339133,0.0000073283786,0.0004285526,0.00009874791,0.00007935584,0.018663725,0.00064604264,0.00097553746],"study_design_scores_gemma":[0.0004131056,0.00011160121,0.9767405,0.00006288605,0.000003317444,0.000027603935,0.00020976977,0.0002470721,0.00021626335,0.019975662,0.0019167286,0.00007550697],"about_ca_topic_score_codex":0.0214229,"about_ca_topic_score_gemma":0.029524244,"teacher_disagreement_score":0.012035557,"about_ca_system_score_codex":0.00044034616,"about_ca_system_score_gemma":0.00023786079,"threshold_uncertainty_score":0.9881844},"labels":[],"label_agreement":null},{"id":"W2736376566","doi":"10.1017/age.2017.16","title":"Heterogeneous Preferences for Oysters: Evidence from Field Experiments","year":2017,"lang":"en","type":"article","venue":"Agricultural and Resource Economics Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of Alberta","funders":"Office of Experimental Program to Stimulate Competitive Research; U.S. Department of Agriculture; National Science Foundation","keywords":"Preference; Oyster; Logit; Mixed logit; Economics; Econometrics; Consumer choice; Logistic regression; Fishery; Microeconomics; Statistics; Biology; Mathematics","score_opus":0.19557497690984496,"score_gpt":0.26724498973938643,"score_spread":0.07167001282954147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736376566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8841705,0.11055644,0.00004517558,0.0021513754,0.00021580623,0.0005094458,0.00008853681,0.000011738161,0.0022509955],"genre_scores_gemma":[0.8909511,0.10640764,0.00040292417,0.0010252364,0.00019333545,0.00014137065,0.000057154793,0.000010892717,0.0008103597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988412,0.000010854189,0.00050038553,0.00045369292,0.000013759582,0.0001801077],"domain_scores_gemma":[0.9988849,0.00010448258,0.0005680726,0.00035039076,0.000007224434,0.00008493556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002472455,0.00016911262,0.00043958,0.000015857559,0.00032108725,0.00019378804,0.0003356085,0.00008611823,0.0002812046],"category_scores_gemma":[0.0001015819,0.00013544124,0.00014067144,0.00000841586,0.000052327727,0.0004154376,0.00013237377,0.000065137385,0.00017970159],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016004955,0.00031842504,0.71586674,0.0031939088,0.0012804564,0.0000035909993,0.00261005,0.00044342238,0.00050226937,0.012704607,0.038563494,0.224353],"study_design_scores_gemma":[0.0014433485,0.000451101,0.74269676,0.0036393097,0.0001319699,0.000022324639,0.0003092472,0.0006408565,0.0018312797,0.010260376,0.23709199,0.0014814556],"about_ca_topic_score_codex":0.0002524998,"about_ca_topic_score_gemma":0.000032926575,"teacher_disagreement_score":0.22287154,"about_ca_system_score_codex":0.000058860875,"about_ca_system_score_gemma":0.0000033536717,"threshold_uncertainty_score":0.5523133},"labels":[],"label_agreement":null},{"id":"W2736778087","doi":"10.1017/age.2017.21","title":"Consumer Preferences for Oyster Attributes: Field Experiments on Brand, Locality, and Growing Method","year":2017,"lang":"en","type":"article","venue":"Agricultural and Resource Economics Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Office of Experimental Program to Stimulate Competitive Research; U.S. Department of Agriculture; National Science Foundation","keywords":"Oyster; Aquaculture; Fishery; Preference; Business; Production (economics); Marketing; Fish <Actinopterygii>; Biology; Economics; Microeconomics","score_opus":0.17305865607857993,"score_gpt":0.29283984894195686,"score_spread":0.11978119286337693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736778087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92118853,0.062396824,0.00030159997,0.0064122668,0.00023978563,0.0009601796,0.00013757026,0.0000163732,0.008346877],"genre_scores_gemma":[0.90766823,0.083920576,0.0012169069,0.0049115936,0.00019560453,0.00019040062,0.00009080173,0.000020602165,0.0017852578],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988449,0.0000198859,0.00048665938,0.00044518238,0.000014523684,0.00018881004],"domain_scores_gemma":[0.99909115,0.00014298494,0.0004230884,0.00024466545,0.0000074496324,0.000090643865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054686546,0.00018299794,0.000510598,0.00002316691,0.00037261058,0.00017629817,0.00017941174,0.00009842509,0.000103174236],"category_scores_gemma":[0.000078999976,0.00013968622,0.000108987944,0.0000104573555,0.00006322915,0.0003520125,0.0001190057,0.00008802991,0.00006821256],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016749061,0.00031993113,0.4546964,0.004854981,0.001091623,0.0000018815495,0.0011703824,0.00017511635,0.00014380194,0.14681908,0.033502348,0.35705698],"study_design_scores_gemma":[0.002575393,0.00042684795,0.43850964,0.0015526281,0.00012187151,0.000031892167,0.00039611713,0.00057038025,0.00080091343,0.009821895,0.5440027,0.0011896889],"about_ca_topic_score_codex":0.00007352858,"about_ca_topic_score_gemma":0.000010141613,"teacher_disagreement_score":0.5105004,"about_ca_system_score_codex":0.00004290576,"about_ca_system_score_gemma":0.000002770304,"threshold_uncertainty_score":0.5696239},"labels":[],"label_agreement":null},{"id":"W273725987","doi":"","title":"A Valuation Of Ecological Services In The Great Lakes Basin Ecosystem to Sustain Healthy Communities and a Dynamic Economy","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Fishing; Water quality; Valuation (finance); Fishery; Tourism; Business; Geography; Commercial fishing; Ecosystem services; Fishing industry; Natural resource economics; Agricultural economics; Environmental protection; Ecosystem; Ecology; Economics; Economic growth","score_opus":0.05629011928145528,"score_gpt":0.22203270477324802,"score_spread":0.16574258549179274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W273725987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98413265,0.0002223247,0.00049602607,0.001760226,0.000028302256,0.00040817272,0.00004267782,0.000008347535,0.012901289],"genre_scores_gemma":[0.9986483,0.00005143847,0.00024454182,0.0007946688,0.000013586444,0.00006641488,0.000044436525,0.0000065495356,0.00013007004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908733,0.00007231826,0.00052171573,0.0001538501,0.000017053204,0.000147719],"domain_scores_gemma":[0.99949604,0.00012860243,0.00017248132,0.00017474314,0.000006525736,0.000021619911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011464611,0.00009240519,0.00024931724,0.0001462181,0.00007088929,0.000042042848,0.0001418279,0.0000578036,0.00020322257],"category_scores_gemma":[0.000004635912,0.000082349026,0.000033123993,0.000077134806,0.000030401972,0.00017417948,0.000044624765,0.000055971694,0.00006564455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016305976,0.00010581954,0.879152,0.0000842781,0.000007987974,3.620001e-7,0.0015667233,0.0016607387,0.0000023854186,0.11702903,0.000055149012,0.0003192253],"study_design_scores_gemma":[0.00046353435,0.0001504058,0.9339002,0.000009931101,0.0000031954753,0.0000028483037,0.0058271824,0.02122411,0.000004576314,0.03702613,0.00127671,0.000111193294],"about_ca_topic_score_codex":0.0029382007,"about_ca_topic_score_gemma":0.01977137,"teacher_disagreement_score":0.080002904,"about_ca_system_score_codex":0.00016472848,"about_ca_system_score_gemma":0.000007185814,"threshold_uncertainty_score":0.99811524},"labels":[],"label_agreement":null},{"id":"W2737453841","doi":"10.3390/resources6030030","title":"Households’ Willingness-to-Pay for Fish Product Attributes and Implications for Market Feasibility of Wastewater-Based Aquaculture Businesses in Hanoi, Vietnam","year":2017,"lang":"en","type":"article","venue":"Resources","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Alberta; Ministry of Health","funders":"Direktion für Entwicklung und Zusammenarbeit","keywords":"Willingness to pay; Certification; Business; Purchasing; Product (mathematics); Fish stock; Agricultural economics; Aquaculture; Fishery; Agricultural science; Fishing; Economics; Fish <Actinopterygii>; Marketing; Environmental science; Biology","score_opus":0.12451636772581796,"score_gpt":0.27010922926530895,"score_spread":0.14559286153949097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737453841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99078053,0.00028080848,0.0009709063,0.005451726,0.000060161034,0.00095595955,0.0013047964,0.000010114032,0.00018496985],"genre_scores_gemma":[0.99742883,0.000049551814,0.0017531415,0.00008065511,0.00006141888,0.00022352244,0.00006133676,0.000016942096,0.000324593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904454,0.0000072223706,0.00038066946,0.00038695434,0.000014476136,0.00016611224],"domain_scores_gemma":[0.9991003,0.00007849664,0.00034173785,0.00041509033,0.000022058368,0.000042291573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054378813,0.00011022013,0.00029602586,0.000051613002,0.00020874749,0.00007993779,0.00019721127,0.000060788054,0.000018835195],"category_scores_gemma":[0.0003361186,0.00010294634,0.00006235219,0.000040501145,0.00007291882,0.00017064529,0.000044552446,0.000034229226,0.0000025716706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050383536,0.00007785736,0.9974354,0.00014573487,0.000010305621,2.0655069e-8,0.00015549532,0.00027611834,0.00033364812,0.00031268937,0.000754331,0.00044804852],"study_design_scores_gemma":[0.00075832376,0.000060086128,0.98054665,0.00002895299,0.0000074066593,2.6439827e-7,0.000035114866,0.0006371973,0.0010611346,0.003242852,0.0134840505,0.00013794698],"about_ca_topic_score_codex":0.0000756139,"about_ca_topic_score_gemma":0.00012727415,"teacher_disagreement_score":0.016888697,"about_ca_system_score_codex":0.000055590233,"about_ca_system_score_gemma":0.000008289398,"threshold_uncertainty_score":0.41980296},"labels":[],"label_agreement":null},{"id":"W2738215731","doi":"","title":"Designer's Corner - Willingness-To-Pay (WTP): The New-Old Kid on the Economic Evaluation Block","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Nursing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Enthusiasm; Economics; Health economics; Public economics; Valuation (finance); Economic evaluation; Goods and services; Cost–benefit analysis; Actuarial science; Health care; Microeconomics; Economy; Economic growth; Psychology; Political science; Finance","score_opus":0.32097479214043934,"score_gpt":0.335468491927159,"score_spread":0.01449369978671966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738215731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91524035,0.0004998241,0.00042970112,0.07213439,0.0011702226,0.00042300345,0.000032982996,0.000002769031,0.010066748],"genre_scores_gemma":[0.99615216,0.000059250568,0.00005586094,0.0004454687,0.0006132067,0.000009986261,0.0000011376486,0.000024845967,0.0026381025],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9984988,0.00016699362,0.0005163493,0.0002323432,0.00012614536,0.0004593424],"domain_scores_gemma":[0.9984124,0.0004403544,0.00024798987,0.0003707819,0.00006622618,0.00046226202],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006355753,0.00011099327,0.00018791012,0.00035788337,0.00045747982,0.00016814066,0.00054663146,0.00007563298,0.0016323212],"category_scores_gemma":[0.00054419256,0.00006258875,0.00009557632,0.000146129,0.00025428046,0.00020444489,0.0000124470735,0.00031843223,0.0017164045],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000138561,0.00006983608,0.11959845,0.0000047999383,0.00014358519,0.000011150227,0.0063168486,0.013012284,0.00036486125,0.13750078,0.49490082,0.22793801],"study_design_scores_gemma":[0.0021614868,0.0010455354,0.60128105,0.00077170803,0.000042851392,0.0000961011,0.0017176324,0.0053463946,0.0008748986,0.29992315,0.08616163,0.00057759613],"about_ca_topic_score_codex":0.0016729853,"about_ca_topic_score_gemma":0.0010363358,"teacher_disagreement_score":0.48168257,"about_ca_system_score_codex":0.004107404,"about_ca_system_score_gemma":0.0007865118,"threshold_uncertainty_score":0.9997156},"labels":[],"label_agreement":null},{"id":"W2739054206","doi":"10.3390/resources6030031","title":"Market Feasibility of Faecal Sludge and Municipal Solid Waste-Based Compost as Measured by Farmers’ Willingness-to-Pay for Product Attributes: Evidence from Kampala, Uganda","year":2017,"lang":"en","type":"article","venue":"Resources","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Alberta; Ministry of Health","funders":"Direktion für Entwicklung und Zusammenarbeit","keywords":"Compost; Willingness to pay; Agricultural science; Certification; Business; Circular economy; Municipal solid waste; Product (mathematics); Biodegradable waste; Market price; Agriculture; Accounts payable; Agricultural economics; Commercialization; Fertilizer; Waste management; Environmental science; Economics; Payment; Marketing; Mathematics; Agronomy; Engineering; Finance","score_opus":0.16085480686943343,"score_gpt":0.28862835872645215,"score_spread":0.12777355185701872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739054206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938676,0.0015940024,0.0011489409,0.0010745109,0.00013693802,0.00063451065,0.0011322632,0.00001285183,0.00039838938],"genre_scores_gemma":[0.9985266,0.00011140097,0.0005831677,0.000098847915,0.00009465983,0.000043217115,0.00005376735,0.000022738026,0.0004656121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984531,0.000037493508,0.0005677706,0.0006186508,0.00006476405,0.00025824536],"domain_scores_gemma":[0.9984098,0.00024955257,0.0005673126,0.00061953673,0.000025769017,0.00012801161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010978163,0.00018612755,0.0005131048,0.00005314726,0.00031917208,0.00012144651,0.0004044436,0.000089117675,0.00018678425],"category_scores_gemma":[0.00075316697,0.0001717718,0.00010786639,0.000034058005,0.00020104184,0.0002438277,0.00011281682,0.00009455332,0.000036543614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002562102,0.00008405928,0.9956826,0.000059738235,0.00004315659,2.1842214e-7,0.000730201,0.00026204332,0.0013925561,0.000030004046,0.00087224727,0.0005869521],"study_design_scores_gemma":[0.0015369091,0.00026534146,0.971624,0.00013157223,0.00003206158,5.143906e-7,0.00028876457,0.008173843,0.0063130497,0.0011709689,0.010097417,0.00036556646],"about_ca_topic_score_codex":0.001651521,"about_ca_topic_score_gemma":0.00010101779,"teacher_disagreement_score":0.024058621,"about_ca_system_score_codex":0.00011136977,"about_ca_system_score_gemma":0.000015563895,"threshold_uncertainty_score":0.7004651},"labels":[],"label_agreement":null},{"id":"W2739144495","doi":"10.1111/conl.12377","title":"Tax Shifting and Incentives for Biodiversity Conservation on Private Lands","year":2017,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nature Conservancy of Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Liber Ero Foundation; Centre of Excellence for Environmental Decisions, Australian Research Council; National Science Foundation","keywords":"Easement; Incentive; Business; Natural resource economics; Convention on Biological Diversity; Biodiversity; Tax incentive; Revenue; Property tax; Ecosystem services; Environmental resource management; Economics; Ecosystem; Finance; Ecology; Microeconomics","score_opus":0.12832646296989544,"score_gpt":0.2251833796237535,"score_spread":0.09685691665385807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739144495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680289,0.000027855995,0.005451348,0.025476752,0.00019948733,0.00024139123,0.000120210454,0.000022332657,0.00043172715],"genre_scores_gemma":[0.9897548,0.000036235975,0.0010524351,0.008870589,0.00004716038,0.00002069047,0.00007556799,0.0000066545126,0.00013585947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937004,0.0000099758745,0.00022455395,0.00025651453,0.000018548575,0.000120340126],"domain_scores_gemma":[0.9992923,0.00007470103,0.00038442205,0.00021031298,0.000006970188,0.00003125741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004110568,0.00008765197,0.00014045204,0.000061763465,0.000595864,0.00011530951,0.00010647046,0.000046948564,0.000040557145],"category_scores_gemma":[0.00017633314,0.000110096335,0.000046426492,0.000015977483,0.00011010007,0.0004419897,0.000045525867,0.00005630707,0.00010524818],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020599071,0.000012119057,0.9760688,0.000014275182,0.000020858379,2.2441917e-7,0.00016516162,0.000017797327,0.00025178195,0.019366326,0.003914731,0.00014733017],"study_design_scores_gemma":[0.00085377187,0.000028497314,0.97747934,0.00001117747,0.000005670078,2.3861995e-7,0.000034847693,0.0026905774,0.00017372373,0.001851939,0.016736837,0.00013338617],"about_ca_topic_score_codex":0.00016001888,"about_ca_topic_score_gemma":0.00002423989,"teacher_disagreement_score":0.021725912,"about_ca_system_score_codex":0.000069793066,"about_ca_system_score_gemma":0.0000028641552,"threshold_uncertainty_score":0.45829648},"labels":[],"label_agreement":null},{"id":"W2741163753","doi":"10.1016/j.ecoser.2017.07.016","title":"Optimizing provision of ecosystem services using modern portfolio theory","year":2017,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Portfolio; Ecosystem services; Provisioning; Modern portfolio theory; Environmental resource management; Natural resource management; Sustainability; Payment for ecosystem services; Resource (disambiguation); Natural resource; Business; Computer science; Environmental economics; Ecosystem; Economics; Ecology; Finance","score_opus":0.059747018625640254,"score_gpt":0.22903144109308754,"score_spread":0.1692844224674473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741163753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836632,0.0019250723,0.0011804274,0.000033806933,0.0006093035,0.0004022295,0.00027715723,0.000039928545,0.011868844],"genre_scores_gemma":[0.9983203,0.00010821329,0.0010969733,0.000045209457,0.00015081705,0.000019676341,0.00003314968,0.000048977327,0.00017670201],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797624,0.000041135132,0.00105085,0.0005542822,0.00006866275,0.00030881222],"domain_scores_gemma":[0.99668,0.00003257578,0.002179519,0.00099009,0.000025899406,0.000091910406],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012912428,0.0002482507,0.0006470991,0.00017250092,0.0004397022,0.00023471926,0.0007776121,0.00016317231,0.00035404612],"category_scores_gemma":[0.0000060081293,0.00027519022,0.00016284945,0.000042361422,0.000020429943,0.0012511071,0.00027095183,0.000090051246,0.00041090214],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109005494,0.00027600722,0.9134833,0.006636203,0.0005039003,0.000011543336,0.006227331,0.021295156,0.0018955285,0.047099963,0.000013566058,0.0024484613],"study_design_scores_gemma":[0.0017329933,0.00012670836,0.11087766,0.0012323611,0.000080875485,0.000025051788,0.0025406224,0.85736674,0.0022485948,0.020918755,0.0018701663,0.0009794693],"about_ca_topic_score_codex":0.0006075686,"about_ca_topic_score_gemma":0.0006263852,"teacher_disagreement_score":0.83607155,"about_ca_system_score_codex":0.00017694967,"about_ca_system_score_gemma":0.000013966033,"threshold_uncertainty_score":0.99997},"labels":[],"label_agreement":null},{"id":"W2746494780","doi":"10.1016/j.jtrangeo.2011.11.016","title":"Book review","year":2011,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Willingness to pay; Proxy (statistics); Value (mathematics); Government (linguistics); Economics; Travel behavior; Public economics; Advertising; Business; Microeconomics","score_opus":0.06869872154150201,"score_gpt":0.1964263052657675,"score_spread":0.12772758372426546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746494780","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09028241,0.8718993,0.0024854492,0.00081938977,0.0005802835,0.00017524349,0.0000344159,0.000011278272,0.033712223],"genre_scores_gemma":[0.6661326,0.31648615,0.002313585,0.014290072,0.00013419126,0.0000064990168,0.000010001483,0.000027705953,0.0005991413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895847,0.000004972307,0.00079187297,0.00010277382,0.00002902709,0.000112874586],"domain_scores_gemma":[0.9992082,0.000004561843,0.0005790941,0.00012428907,0.000011901618,0.000071934715],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005131007,0.00008076852,0.00031863528,0.0001690025,0.000025591387,0.000002866196,0.00015068214,0.000038414222,0.0092372615],"category_scores_gemma":[0.000003423763,0.00008273223,0.0003639865,0.000083968305,0.0000394601,0.00031782588,0.0000034778002,0.000106323554,0.0001645853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000119281285,0.00010575068,0.9745394,0.00009471958,0.00010285168,0.000010464625,0.00012759594,0.000003908401,0.000001942436,0.0013644721,0.023235843,0.00040110364],"study_design_scores_gemma":[0.0002295557,0.00008549967,0.67920953,0.00009799729,0.000029640061,0.000015325828,0.0000059852996,0.0000013454492,0.000022488113,0.0018895593,0.31832546,0.000087599554],"about_ca_topic_score_codex":0.00001666557,"about_ca_topic_score_gemma":6.9839797e-7,"teacher_disagreement_score":0.57585025,"about_ca_system_score_codex":0.000016736958,"about_ca_system_score_gemma":0.000005288281,"threshold_uncertainty_score":0.9916684},"labels":[],"label_agreement":null},{"id":"W2747989362","doi":"10.1002/2016wr020154","title":"Informing water harvesting technology contract design using choice experiments","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Seventh Framework Programme; European Commission","keywords":"Vulnerability (computing); Context (archaeology); Sample (material); Order (exchange); Business; Environmental economics; Economics; Public economics; Marketing; Environmental resource management; Computer science; Geography; Computer security; Finance","score_opus":0.4464459332995424,"score_gpt":0.3617141428194695,"score_spread":0.0847317904800729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747989362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892777,0.00021327524,0.0008440948,0.0005352819,0.0001124494,0.00031794273,0.0000054111765,0.000029371553,0.008664448],"genre_scores_gemma":[0.9953782,0.000020584337,0.0012120897,0.000035792476,0.00013239139,0.000049304526,0.000007907252,0.00003303001,0.003130694],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820364,0.00004267066,0.00046875674,0.000421887,0.00008829842,0.00077472255],"domain_scores_gemma":[0.99904734,0.000046133213,0.00013513645,0.00065766246,0.000023337845,0.00009038816],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023136889,0.00014213107,0.0002654691,0.00041291793,0.0013253,0.00052843604,0.00066578866,0.00016056317,0.0007032527],"category_scores_gemma":[0.00018490665,0.00011539745,0.00005251062,0.00003646127,0.00032742985,0.0007458988,0.0005782871,0.0003200078,0.002176929],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005959984,0.00012497469,0.9015241,0.000046852263,0.00012584464,0.000025045683,0.009057347,0.0019675428,0.0785634,0.0012898836,0.00008828305,0.007127088],"study_design_scores_gemma":[0.0030352208,0.00032854744,0.1052544,0.00011837673,0.000011151256,0.000035170524,0.0010071292,0.047378726,0.63138694,0.013703078,0.19667986,0.001061392],"about_ca_topic_score_codex":0.001835351,"about_ca_topic_score_gemma":0.000012442209,"teacher_disagreement_score":0.7962698,"about_ca_system_score_codex":0.00025514758,"about_ca_system_score_gemma":0.0000052263804,"threshold_uncertainty_score":0.99997485},"labels":[],"label_agreement":null},{"id":"W2752647198","doi":"10.1017/bca.2017.16","title":"Building a Set of Internationally Comparable Value of Statistical Life Studies: Estimates of Chinese Willingness to Pay to Reduce Mortality Risk","year":2017,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic Research Service; Fudan University; World Bank Group; U.S. Department of Agriculture","keywords":"China; Willingness to pay; Preference; Economics; Payment; Demographic economics; Estimation; Household income; Geography; Demography; Socioeconomics; Finance","score_opus":0.10858005907581163,"score_gpt":0.35370489164326496,"score_spread":0.24512483256745332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752647198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9462666,0.00031844372,0.052239932,0.00019099699,0.00015278238,0.00009653618,0.0006476912,0.0000013527776,0.00008570001],"genre_scores_gemma":[0.9818779,0.00026068115,0.017738953,0.000023461687,0.000060815528,0.0000036669776,0.000010368018,0.0000097307,0.000014375926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978678,0.00001935267,0.0016444258,0.00020866228,0.00012742785,0.00013230332],"domain_scores_gemma":[0.9960093,0.00021355189,0.003109356,0.0003630564,0.00016823897,0.00013648925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016216029,0.00013550374,0.0011605296,0.00040606293,0.00008817713,0.000031777246,0.00042537795,0.00004317986,0.00011901189],"category_scores_gemma":[0.0014287807,0.000119077755,0.0003098602,0.00022394405,0.000082960614,0.0002548038,0.00011508502,0.00010304384,0.000008790438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051788396,0.000080051235,0.7700137,0.000028176386,0.0020917235,6.950753e-7,0.00043663412,0.22366695,0.00019593321,0.0030688213,0.000029856155,0.00033569417],"study_design_scores_gemma":[0.0003970506,0.00011294684,0.95803565,0.00005113944,0.0004427383,8.9315205e-7,0.0001361386,0.026530413,0.00063788204,0.013520751,0.000021636235,0.0001127767],"about_ca_topic_score_codex":0.0009833089,"about_ca_topic_score_gemma":0.000121325065,"teacher_disagreement_score":0.19713654,"about_ca_system_score_codex":0.00013039548,"about_ca_system_score_gemma":0.000023038478,"threshold_uncertainty_score":0.48558497},"labels":[],"label_agreement":null},{"id":"W2752678671","doi":"10.1111/cjag.12147","title":"Eliciting Willingness‐to‐Pay through Multiple Experimental Procedures: Evidence from Lab‐in‐the‐Field in Rural Ghana","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contrast (vision); Common value auction; Economics; Product (mathematics); Econometrics; Microeconomics; Mathematics; Computer science","score_opus":0.08596582611086344,"score_gpt":0.2155049338185221,"score_spread":0.12953910770765864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752678671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98621774,0.0011127591,0.000017265873,0.009641942,0.0012720529,0.00044886465,0.00015906384,0.000004087388,0.0011262407],"genre_scores_gemma":[0.99704784,0.00017407982,0.00033915706,0.0015169783,0.00071228226,0.00004724962,0.000023976438,0.000028788618,0.000109660396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970323,0.000036792837,0.001572554,0.00052147894,0.000013447404,0.0008234245],"domain_scores_gemma":[0.99719876,0.00032109252,0.0013513931,0.0005182853,0.00003088,0.0005795999],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087339117,0.00035266127,0.00078023016,0.0002587457,0.00042834805,0.00049019774,0.0014403502,0.0001823112,0.00034789977],"category_scores_gemma":[0.00082510005,0.00031036045,0.00023789937,0.00008831387,0.00011320606,0.0020533856,0.000065937704,0.0004372057,0.0002038713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058178066,0.000043809127,0.97233456,0.000022418008,0.00008092796,0.000060088794,0.013163776,0.0057936576,0.000107826505,0.006266291,0.0012636747,0.0008047791],"study_design_scores_gemma":[0.00118266,0.00026646137,0.9787744,0.00033114728,0.000012770607,0.00007599711,0.0105961105,0.000458583,0.00030364317,0.00551046,0.0018717513,0.0006159697],"about_ca_topic_score_codex":0.27420467,"about_ca_topic_score_gemma":0.87372005,"teacher_disagreement_score":0.5995154,"about_ca_system_score_codex":0.002494375,"about_ca_system_score_gemma":0.00024259847,"threshold_uncertainty_score":0.99993485},"labels":[],"label_agreement":null},{"id":"W2756250574","doi":"10.1007/s10488-017-0824-z","title":"Modeling the Decision of Mental Health Providers to Implement Evidence-Based Children’s Mental Health Services: A Discrete Choice Conjoint Experiment","year":2017,"lang":"en","type":"article","venue":"Administration and Policy in Mental Health and Mental Health Services Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; McMaster University; Hospital for Sick Children; Hamilton Health Sciences","funders":"Canadian Institutes of Health Research; York University; McMaster University","keywords":"Mental health; Health administration; Health informatics; Supervisor; Service provider; Class (philosophy); Latent class model; Conjoint analysis; Evidence-based practice; Service (business); Psychology; Process (computing); Public health; Applied psychology; Nursing; Medical education; Medicine; Computer science; Preference; Machine learning; Psychiatry; Business; Artificial intelligence; Marketing; Statistics","score_opus":0.19651891635501606,"score_gpt":0.4598421887499637,"score_spread":0.2633232723949476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756250574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8414709,0.011045565,0.000051221043,0.14079908,0.00024553936,0.0049599237,0.0013263868,0.000016170528,0.00008523105],"genre_scores_gemma":[0.959605,0.020930473,0.000647961,0.017504856,0.00012145749,0.0002398237,0.00085843366,0.000037367157,0.000054679407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949539,0.00034868333,0.0020433343,0.00096488494,0.00043751308,0.0012516876],"domain_scores_gemma":[0.99693036,0.00008668303,0.001050844,0.0006517311,0.000024378567,0.0012560165],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0045800535,0.00038032728,0.0007701445,0.00046604968,0.0032145784,0.0003308873,0.0005293474,0.00009426779,0.00007318942],"category_scores_gemma":[0.000013825842,0.00036414593,0.000090967165,0.00021143365,0.00019424815,0.0008019173,0.0004248332,0.00035379222,0.000028603085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048340783,0.0026876526,0.538075,0.011184005,0.00020829124,0.0000015100511,0.2861859,0.00037100742,0.00017108278,0.018784555,0.0036048286,0.13389212],"study_design_scores_gemma":[0.022543428,0.025353922,0.5901482,0.012972105,0.0000071294608,0.00008080797,0.17032258,0.13780224,0.000748568,0.0021618372,0.035838097,0.0020210417],"about_ca_topic_score_codex":0.110374376,"about_ca_topic_score_gemma":0.022527846,"teacher_disagreement_score":0.13743123,"about_ca_system_score_codex":0.002574521,"about_ca_system_score_gemma":0.0010778684,"threshold_uncertainty_score":0.999881},"labels":[],"label_agreement":null},{"id":"W2758214715","doi":"10.1080/02755947.2017.1383325","title":"Understanding How Angler Characteristics and Context Influence Angler Preferences for Fishing Sites","year":2017,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Energy, Northern Development and Mines; Ministry of Natural Resources and Forestry; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fishing; TRIPS architecture; Context (archaeology); Fishery; Recreational fishing; Catch and release; Preference; Geography; Recreation; Fisheries management; Fish <Actinopterygii>; Ecology; Transport engineering; Statistics; Biology; Engineering","score_opus":0.17428368373804726,"score_gpt":0.2281508163666917,"score_spread":0.053867132628644454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758214715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99082893,0.000097498356,0.0059873248,0.0015129113,0.00016586616,0.00015564686,0.000054569464,0.0000047684716,0.0011924927],"genre_scores_gemma":[0.99696124,0.0007210821,0.0017466253,0.0002725814,0.00007451112,0.000009508901,0.0000073919573,0.000012920759,0.00019416562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920243,0.000008802181,0.00039008382,0.00018220552,0.000042786312,0.00017369963],"domain_scores_gemma":[0.99819225,0.00003991698,0.0014806294,0.00019487529,0.000019955363,0.00007237411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031641586,0.0001204473,0.00034614815,0.0000895622,0.00028203553,0.00042628922,0.00024795375,0.000018832432,0.000037798618],"category_scores_gemma":[0.000079070385,0.00012691748,0.000065302396,0.000027749387,0.00027424473,0.0008827643,0.000083757346,0.00008057685,0.00000419538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033342407,0.000016990563,0.97588086,0.000032830263,0.0001038332,0.000002682834,0.00039718527,0.00001762235,0.0000010947365,0.0018153162,0.00057223404,0.02112603],"study_design_scores_gemma":[0.0003885061,0.0002591774,0.98841447,0.000023177723,0.00002295069,0.0000028671395,0.0013784929,0.00015623232,0.0000027340955,0.002191631,0.0070102154,0.00014954882],"about_ca_topic_score_codex":0.00003026316,"about_ca_topic_score_gemma":0.00008681142,"teacher_disagreement_score":0.02097648,"about_ca_system_score_codex":0.00012992985,"about_ca_system_score_gemma":0.000004969147,"threshold_uncertainty_score":0.51755446},"labels":[],"label_agreement":null},{"id":"W2765353073","doi":"10.1111/cobi.12985","title":"Adaptive social impact management for conservation and environmental management","year":2017,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Adaptive management; Environmental planning; Environmental resource management; Business; Geography; Environmental science","score_opus":0.13726968382868285,"score_gpt":0.2737392691959073,"score_spread":0.13646958536722445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765353073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736505,0.00020315453,0.014383875,0.0027538268,0.00022989657,0.0006971066,0.00038202017,0.00001844488,0.0076811346],"genre_scores_gemma":[0.99538964,0.00025505418,0.002042491,0.0007758243,0.000057760128,0.00014480166,0.00031266242,0.000012654779,0.0010091007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991628,0.00001163146,0.00031177653,0.0003310615,0.000012908268,0.00016983174],"domain_scores_gemma":[0.99933815,0.00002493099,0.00039512716,0.00020581686,0.000003792809,0.000032171905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000312891,0.00011974903,0.00019335488,0.000073542826,0.0004760688,0.000054960485,0.00013358817,0.00008818381,0.00016185135],"category_scores_gemma":[0.000009581526,0.00014010585,0.000065751425,0.000012651913,0.00018302478,0.00022161816,0.0000998072,0.000037589245,0.000094099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050793686,0.000038371654,0.6707557,0.00001636493,0.00014738142,4.4990847e-7,0.00009502756,0.000004992302,0.000044926568,0.3206962,0.0019186296,0.00623116],"study_design_scores_gemma":[0.0011602279,0.00008327683,0.9300943,0.0000033508431,0.000015441834,9.4439105e-7,0.00015761131,0.004011278,0.00001613469,0.049867395,0.014432029,0.00015798555],"about_ca_topic_score_codex":0.00009434096,"about_ca_topic_score_gemma":0.000011371695,"teacher_disagreement_score":0.2708288,"about_ca_system_score_codex":0.00014819179,"about_ca_system_score_gemma":0.0000025018378,"threshold_uncertainty_score":0.5713351},"labels":[],"label_agreement":null},{"id":"W2765675748","doi":"10.3141/2651-12","title":"Stated Preference Survey Pivoted on Revealed Preference Survey for Evaluating Employer-Based Travel Demand Management Strategies","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Preference; Revealed preference; Mode choice; Mode (computer interface); Survey data collection; Business; Quality (philosophy); Marketing; Confidence interval; Travel behavior; Opinion survey; Questionnaire; Transport engineering; Economics; Econometrics; Computer science; Statistics; Microeconomics; Engineering; Public transport; Mathematics; Opinion leadership","score_opus":0.6277720854230658,"score_gpt":0.4234747297202052,"score_spread":0.20429735570286062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765675748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98097944,0.00010107899,0.014416286,0.00063303177,0.00038801713,0.0019174223,0.0011059757,0.000013403579,0.0004453515],"genre_scores_gemma":[0.99596184,0.00066456344,0.0019356868,0.00003268863,0.00005143843,0.00020382549,0.00023236532,0.000058973168,0.0008585897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945597,0.0010935428,0.0019112843,0.00068151904,0.00094947015,0.00080449163],"domain_scores_gemma":[0.9947208,0.0014935406,0.0014822711,0.00088484783,0.0011581714,0.0002603457],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.018907057,0.00029360913,0.0006408571,0.0006957101,0.0013362407,0.00047295736,0.001524842,0.000190728,0.00037596104],"category_scores_gemma":[0.0006394058,0.0002653443,0.00028156143,0.00045508586,0.00049016636,0.0008891666,0.0000122128,0.0010581325,0.00006210151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026448332,0.00033915663,0.9801238,0.00026137292,0.00020876285,0.000009236575,0.00070710754,0.0076004174,0.00018467741,0.0047661075,0.0013414288,0.0018130521],"study_design_scores_gemma":[0.0034148481,0.0011120472,0.9818261,0.00026003193,0.000024999226,6.01819e-8,0.0004962013,0.0021152736,0.00027529313,0.009997505,0.00021935158,0.00025828753],"about_ca_topic_score_codex":0.015431259,"about_ca_topic_score_gemma":0.05405575,"teacher_disagreement_score":0.038624495,"about_ca_system_score_codex":0.00037733602,"about_ca_system_score_gemma":0.00030621668,"threshold_uncertainty_score":0.99997985},"labels":[],"label_agreement":null},{"id":"W2765835583","doi":"10.2196/ijmr.7461","title":"Willingness to Pay for Elderly Telecare Service Using the Internet and Digital Terrestrial Broadcasting","year":2017,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Telecare; Broadcasting (networking); Context (archaeology); Service (business); The Internet; Test (biology); Business; Advertising; Psychology; Economics; Geography; Marketing; Health care; Economic growth; Telemedicine; Computer science; Computer security","score_opus":0.3203313803144392,"score_gpt":0.4133172122839702,"score_spread":0.09298583196953103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765835583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764438,0.00013690481,0.012033917,0.01019249,0.0005421527,0.00018094176,0.000020398611,0.0000012469935,0.00044810463],"genre_scores_gemma":[0.9987674,0.00004670607,0.00023270896,0.00016627002,0.0006597612,0.000006013179,0.000001232419,0.000011978255,0.00010795027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888,0.00003726106,0.00049369386,0.00016921382,0.00019950018,0.0002202908],"domain_scores_gemma":[0.9983647,0.00077240047,0.00042870874,0.00015944758,0.00009082438,0.00018391394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032980412,0.00007457615,0.00022528709,0.00010824809,0.0002555784,0.0005148092,0.0006271343,0.00007572337,0.00014962541],"category_scores_gemma":[0.00539553,0.000051632334,0.00006720186,0.000040323688,0.000109864544,0.0006069619,0.00027741512,0.0005342194,0.000027372329],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015687448,0.00028936553,0.501539,0.0000925408,0.0004652859,0.000054160806,0.00873277,0.00021634245,0.00028362908,0.0024352258,0.0044755754,0.47984737],"study_design_scores_gemma":[0.0102959145,0.0041847783,0.5051027,0.002400704,0.00004916619,0.0005341617,0.012011313,0.19092928,0.001397076,0.036597736,0.23560522,0.0008919456],"about_ca_topic_score_codex":0.00037716998,"about_ca_topic_score_gemma":0.000045716817,"teacher_disagreement_score":0.47895542,"about_ca_system_score_codex":0.00017910112,"about_ca_system_score_gemma":0.00006176937,"threshold_uncertainty_score":0.6459343},"labels":[],"label_agreement":null},{"id":"W2766063405","doi":"10.1007/s11116-017-9833-8","title":"My way or the highway? Framing transportation planners’ attitudes in negotiating professional expertise and public insight","year":2017,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec-Société et Culture; McGill University","keywords":"Negotiation; Framing (construction); Planner; Transportation planning; Scope (computer science); Public relations; Political science; Sociology; Transport engineering; Engineering; Computer science; Social science","score_opus":0.11614070736831755,"score_gpt":0.2577571194334819,"score_spread":0.14161641206516434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766063405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965851,0.00038319454,0.00094839075,0.0010185202,0.00035549834,0.00026452824,0.00006980116,0.0000176978,0.00035730907],"genre_scores_gemma":[0.9987747,0.00025712536,0.00023470767,0.000103233935,0.000053294974,0.00007585023,0.0002093215,0.000016161508,0.00027560227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900347,0.000012338946,0.00048237055,0.00028383892,0.00004404176,0.00017396906],"domain_scores_gemma":[0.9993604,0.00004126364,0.000353898,0.00019354168,0.000007243163,0.00004368002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029142832,0.00011762105,0.00017957477,0.000077884346,0.0003876305,0.0001180485,0.00014329469,0.000090301735,0.00017713118],"category_scores_gemma":[0.000025831609,0.00009080197,0.000033426666,0.00003946013,0.0000856737,0.0009172603,0.000002436233,0.00012484405,0.000029179288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002479907,0.000053957105,0.9739937,0.000025210711,0.000013253756,0.0000029062312,0.0061613745,0.000457353,0.000064192296,0.017052408,0.000025920834,0.0021248874],"study_design_scores_gemma":[0.00068168034,0.000024460416,0.9947003,0.000028602715,0.0000051454736,2.8927502e-7,0.0006229272,0.0020720693,0.000041421645,0.00084684865,0.00083477347,0.00014144338],"about_ca_topic_score_codex":0.00081235176,"about_ca_topic_score_gemma":0.003155507,"teacher_disagreement_score":0.020706601,"about_ca_system_score_codex":0.00006480038,"about_ca_system_score_gemma":0.0000136110975,"threshold_uncertainty_score":0.37027967},"labels":[],"label_agreement":null},{"id":"W2766316242","doi":"10.1038/nature24295","title":"Reductions in global biodiversity loss predicted from conservation spending","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":370,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Yukon University; Yukon Department of Environment; Simon Fraser University","funders":"Medical Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Convention on Biological Diversity; Biodiversity; Sustainable development; Natural resource economics; Business; Biodiversity conservation; Environmental resource management; Convention; Economics; Measurement of biodiversity; Environmental planning; Public economics; Geography; Ecology; Political science; Biology","score_opus":0.06610942169022485,"score_gpt":0.2353131824231201,"score_spread":0.16920376073289525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766316242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870478,0.00025431812,0.000053843643,0.002671871,0.00073077803,0.00008632524,0.0014504489,0.0000139774775,0.007690647],"genre_scores_gemma":[0.999007,0.000083129205,0.00026204565,0.00021599248,0.000069287424,0.0000024042392,0.00024311773,0.0000019990096,0.00011502131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999474,0.0000052842506,0.00017085759,0.00023153072,0.000018179238,0.000100157486],"domain_scores_gemma":[0.9995036,0.000008311427,0.00020708353,0.00024838885,0.000003851335,0.000028742714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013510579,0.000063377025,0.00012046348,0.000038433005,0.00019581306,0.00006216167,0.00017530608,0.00040272716,0.0005412539],"category_scores_gemma":[0.00007901343,0.00008347492,0.00003534813,0.00003462474,0.000057875626,0.000396731,0.000059145226,0.00034343763,0.0004981072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066112057,0.000020973192,0.99115086,0.0000013220085,0.000011496359,0.0000015478531,0.000050300503,0.000024983397,0.0000060977573,0.0061741592,0.0024318139,0.00011986639],"study_design_scores_gemma":[0.00043951732,0.000005997682,0.9800589,0.0000052959253,0.000003137836,7.7175605e-7,0.00004150244,0.00038613737,0.000028558647,0.014853293,0.0040939827,0.00008288901],"about_ca_topic_score_codex":0.0017071711,"about_ca_topic_score_gemma":0.00031567816,"teacher_disagreement_score":0.011959213,"about_ca_system_score_codex":0.0002768318,"about_ca_system_score_gemma":0.0000053054373,"threshold_uncertainty_score":0.64023274},"labels":[],"label_agreement":null},{"id":"W2767831657","doi":"10.1002/soej.12453","title":"Validity and reliability of contingent valuation and life satisfaction measures of welfare: An application to the value of national Olympic success","year":2020,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Nonmarket forces; Contingent valuation; Willingness to pay; Valuation (finance); Welfare; Reliability (semiconductor); Economics; Value (mathematics); Econometrics; Actuarial science; Statistics; Mathematics; Microeconomics","score_opus":0.0906307244733149,"score_gpt":0.24056018970028864,"score_spread":0.14992946522697376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767831657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879962,0.00013894874,0.008456948,0.002771905,0.0000843229,0.00026323332,0.00016797926,0.0000034172324,0.00011701973],"genre_scores_gemma":[0.99935865,0.000077535704,0.00033902138,0.00010672589,0.00008790679,0.000010268667,0.000006852899,0.000010046704,0.0000029590567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998796,0.00006382307,0.00079163833,0.00021177737,0.00005385712,0.00008291308],"domain_scores_gemma":[0.9988048,0.00004719376,0.0008898223,0.0001161714,0.000042880154,0.00009913558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016564163,0.00008658726,0.0002715763,0.000061702405,0.00008384708,0.000024805538,0.00010557239,0.00005292461,0.00011610285],"category_scores_gemma":[0.00015382982,0.00008457728,0.000054525295,0.000035824425,0.000081470724,0.00024286362,0.000037312726,0.000080702004,0.00002025125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032206302,0.00002213524,0.97459716,0.000022937596,0.000026284959,9.293768e-9,0.0022598365,0.015320723,0.0002524553,0.0052907094,0.00001537457,0.0021601557],"study_design_scores_gemma":[0.00045543854,0.00011816721,0.966452,0.000004409432,0.000014101647,0.0000022407564,0.0009583876,0.019098435,0.00023803936,0.012433557,0.0001379834,0.000087251676],"about_ca_topic_score_codex":0.00056363834,"about_ca_topic_score_gemma":0.000046526362,"teacher_disagreement_score":0.011362457,"about_ca_system_score_codex":0.00010616808,"about_ca_system_score_gemma":0.000033597833,"threshold_uncertainty_score":0.34489614},"labels":[],"label_agreement":null},{"id":"W2769284167","doi":"10.1007/s10640-017-0192-x","title":"A Cautionary Note on the Use of Benefit Metrics for Cost-Effective Conservation","year":2017,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Flexibility (engineering); Risk analysis (engineering); Portfolio; Environmental economics; Computer science; Environmental resource management; Greenhouse gas; Business; Economics; Ecology","score_opus":0.12142878158568987,"score_gpt":0.21879946207742237,"score_spread":0.0973706804917325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769284167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99431574,0.00017869589,0.0005862013,0.0017006688,0.00012935756,0.0011676541,0.0007942417,0.0000056882914,0.0011217515],"genre_scores_gemma":[0.9968052,0.00050473755,0.00047092192,0.00080816605,0.000065891014,0.00021650222,0.00008119662,0.000023169874,0.0010242338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990852,0.000011114966,0.0003897639,0.00033368048,0.00002048603,0.00015977357],"domain_scores_gemma":[0.99858695,0.0003392477,0.0006043433,0.0004148562,0.0000018851032,0.000052718333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039395675,0.0001472449,0.00025329975,0.000071646435,0.0004906183,0.000082127895,0.00017758946,0.000107358705,0.00011216892],"category_scores_gemma":[0.0000777246,0.00014033838,0.00010746143,0.000010952346,0.0003039829,0.00027164354,0.000117400414,0.000096885524,0.000085596665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002598746,0.0003225828,0.7234801,0.000033579345,0.00021736037,6.500825e-7,0.0006746708,0.0071361535,0.00020808334,0.23097424,0.0018022008,0.03489052],"study_design_scores_gemma":[0.00083658507,0.00016327991,0.7444861,0.000008266734,0.000017648623,0.0000023660225,0.00009436795,0.022876063,0.00046490514,0.00843535,0.22239375,0.0002213563],"about_ca_topic_score_codex":0.0000861714,"about_ca_topic_score_gemma":0.0000113201495,"teacher_disagreement_score":0.22253889,"about_ca_system_score_codex":0.00020476792,"about_ca_system_score_gemma":0.0000031881214,"threshold_uncertainty_score":0.5722833},"labels":[],"label_agreement":null},{"id":"W277015030","doi":"10.22004/ag.econ.168255","title":"Wetlands Retention and Optimal Management of Waterfowl Habitat under Climate Change","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wetland; Waterfowl; Climate change; Environmental science; Pothole (geology); Land use, land-use change and forestry; Habitat; Externality; Land use; Ecology; Geography; Environmental resource management; Biology","score_opus":0.10768616581126467,"score_gpt":0.20784475898068197,"score_spread":0.1001585931694173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W277015030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98960215,0.00010000694,0.0021432652,0.0003609096,0.00005621084,0.00015672219,0.0000518979,0.000006192431,0.007522636],"genre_scores_gemma":[0.99561596,0.0016975392,0.001819055,0.000023732766,0.000014910295,7.877033e-7,0.000033341286,0.000008049885,0.00078660605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930525,0.00002306113,0.00018691442,0.0002577795,0.000039918355,0.00018710381],"domain_scores_gemma":[0.99957657,0.00002058559,0.00015830967,0.00017627432,0.000010649582,0.00005758429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061800785,0.00008255202,0.00022843429,0.00014977167,0.00009060642,0.000009238941,0.00012676821,0.000060612078,0.00054581655],"category_scores_gemma":[0.0000017421479,0.00011201145,0.00006409893,0.000061745974,0.00013354146,0.0003524413,0.00015768899,0.000056372824,0.0002365008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010368697,0.0001623748,0.82958716,0.0004978014,0.00019089339,0.0000060545235,0.0027321219,0.00031984103,0.00025178114,0.1476085,0.00022183948,0.018317943],"study_design_scores_gemma":[0.0010474753,0.00017444543,0.98726654,0.00003435196,0.000019740013,0.0000015047784,0.0019570722,0.007380606,0.00009145916,0.0010822504,0.00080402015,0.00014053799],"about_ca_topic_score_codex":0.00016478417,"about_ca_topic_score_gemma":0.00006303726,"teacher_disagreement_score":0.15767938,"about_ca_system_score_codex":0.00004872926,"about_ca_system_score_gemma":0.0000014845538,"threshold_uncertainty_score":0.59763086},"labels":[],"label_agreement":null},{"id":"W2770794764","doi":"10.1111/cjag.12157","title":"The Effects of Pricing Canadian Livestock Emissions","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"U.S. Environmental Protection Agency","keywords":"Tonne; Subsidy; Greenhouse gas; Carbon tax; Economics; Welfare economics; Unit (ring theory); Economy; Agricultural economics; Mathematics; Engineering; Waste management; Market economy","score_opus":0.043581374074092454,"score_gpt":0.16684422622028958,"score_spread":0.12326285214619712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770794764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813561,0.0016467924,0.0000082989045,0.0041341977,0.0030626378,0.00031957455,0.00017109551,0.0000033955025,0.009297921],"genre_scores_gemma":[0.9966059,0.00051520125,0.00013189003,0.00017562702,0.0004664427,0.000012964568,0.000015136733,0.000030713065,0.0020461527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99730957,0.00002315503,0.0014188804,0.00036332026,0.000008597322,0.0008764899],"domain_scores_gemma":[0.99480456,0.00019592885,0.0024056311,0.00066402927,0.00007615706,0.0018537091],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00074632204,0.0002987748,0.00072525133,0.00033503334,0.0015151048,0.00037820239,0.0013341176,0.0001872232,0.00022909151],"category_scores_gemma":[0.0006691176,0.00026335873,0.00036612284,0.000051227194,0.00033664503,0.0008659287,0.000047232614,0.00033313132,0.00014935608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031910768,0.000037841444,0.5980496,0.00015590944,0.0008830382,0.000076063436,0.00391979,0.0031572734,0.00012249075,0.37704372,0.010484671,0.0060377014],"study_design_scores_gemma":[0.00072499015,0.0002620238,0.94895005,0.00010918228,0.000041512263,0.0001349651,0.0007526434,0.00012196093,0.00014586108,0.011460116,0.036846176,0.0004505264],"about_ca_topic_score_codex":0.48193777,"about_ca_topic_score_gemma":0.9593813,"teacher_disagreement_score":0.47744352,"about_ca_system_score_codex":0.0027233413,"about_ca_system_score_gemma":0.0007204916,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W2770821338","doi":"10.7202/1042012ar","title":"Les valeurs socioculturelles et monétaires des services écologiques rendus par les parcs nationaux du Québec","year":2017,"lang":"fr","type":"article","venue":"Le Naturaliste canadien","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Université du Québec en Outaouais","keywords":"Political science; Geography; Humanities; Art","score_opus":0.08816564175128186,"score_gpt":0.24700969967408964,"score_spread":0.15884405792280779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770821338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89708996,0.04776661,0.000015525127,0.03946479,0.00097504887,0.00022201853,0.000698733,0.000034472952,0.013732829],"genre_scores_gemma":[0.9741372,0.00896203,0.00072353944,0.00084757403,0.0002934148,0.000040462295,0.00021162513,0.00004271582,0.014741479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982142,0.00009144322,0.0005737767,0.0005867706,0.000058565158,0.000475251],"domain_scores_gemma":[0.9983099,0.00013001951,0.0008451137,0.0005021046,0.000054203207,0.00015863866],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00055585185,0.00031754668,0.00044003036,0.00009593349,0.0019342303,0.00039213608,0.0007034222,0.00046773808,0.00055455876],"category_scores_gemma":[0.00022534789,0.00037779915,0.0001951753,0.000040715408,0.00087748235,0.0010861887,0.00018645758,0.0003972912,0.00016369738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009794807,0.000054415934,0.87465644,0.00012978211,0.00014055101,0.000012848891,0.002572939,0.00045268552,0.000007967284,0.10384828,0.004755708,0.013358575],"study_design_scores_gemma":[0.00042683596,0.000059254307,0.7941676,0.00008283752,0.000029621038,0.000013308566,0.0011555896,0.0012243391,0.000074645475,0.006156955,0.19620103,0.00040803192],"about_ca_topic_score_codex":0.87357414,"about_ca_topic_score_gemma":0.90651035,"teacher_disagreement_score":0.19144532,"about_ca_system_score_codex":0.0016627923,"about_ca_system_score_gemma":0.00015557802,"threshold_uncertainty_score":0.9998674},"labels":[],"label_agreement":null},{"id":"W2771482963","doi":"10.1007/s13280-017-0996-5","title":"Should biodiversity and nature have to earn their keep? What it really means to bring environmental goods into the marketplace","year":2017,"lang":"en","type":"review","venue":"AMBIO","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Simon Fraser University; University of Oxford","keywords":"Natural capital; Value (mathematics); Economics; Goods and services; Biodiversity; Ecosystem services; Natural resource; Business; Law and economics; Economy; Political science; Law; Ecosystem; Ecology","score_opus":0.17667129358181488,"score_gpt":0.2857990813894802,"score_spread":0.1091277878076653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771482963","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055951574,0.9854336,0.00004843286,0.001888249,0.000556662,0.0010077371,0.00044295564,0.000015913674,0.005011341],"genre_scores_gemma":[0.0032359671,0.9914829,0.00015446026,0.0014425487,0.00012285556,0.000030136418,0.00013727955,0.000036019035,0.0033578065],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828756,0.00004805695,0.00050657755,0.00079672923,0.00005153463,0.0003095337],"domain_scores_gemma":[0.998542,0.00008600666,0.00042403842,0.00077335094,0.000002147891,0.00017241834],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00089766714,0.00039018682,0.00095896045,0.00014697637,0.00037221573,0.0003856158,0.00066811044,0.00044143162,0.0003046748],"category_scores_gemma":[0.000042716776,0.0003486395,0.00027048134,0.00004383009,0.00011279881,0.00041306563,0.00069411023,0.0004965788,0.0025632042],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012521025,0.00004216459,0.0084669795,0.00033803133,0.00027596002,0.0000038573426,0.0021887599,0.0000072446737,5.4825966e-7,0.00033159694,0.0053884373,0.9829439],"study_design_scores_gemma":[0.00012452815,0.000050573788,0.00885964,0.00042418047,0.000069949296,0.0000068041923,0.00052006426,0.000013452154,0.000001833169,0.00017709109,0.98933107,0.00042083548],"about_ca_topic_score_codex":0.00039151558,"about_ca_topic_score_gemma":0.00033909327,"teacher_disagreement_score":0.9839426,"about_ca_system_score_codex":0.00051331235,"about_ca_system_score_gemma":0.000014103145,"threshold_uncertainty_score":0.9998966},"labels":[],"label_agreement":null},{"id":"W2771670543","doi":"10.1108/jsocm-10-2016-0061","title":"Using previous social marketing efforts to assess a new program","year":2017,"lang":"en","type":"article","venue":"Journal of Social Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Brandon University","funders":"","keywords":"Social marketing; Marketing research; Process (computing); Marketing; Computer science; Management science; Set (abstract data type); Variety (cybernetics); Key (lock); Process management; Conceptual framework; Data science; Business; Sociology; Engineering","score_opus":0.21676238667725364,"score_gpt":0.32592298995432256,"score_spread":0.10916060327706892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771670543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787821,0.00017115522,0.00084046833,0.0010007581,0.00065273076,0.00024137068,0.000007173011,0.000012713562,0.018291488],"genre_scores_gemma":[0.9859878,0.000035844772,0.011351061,0.00011474275,0.001993976,0.00000437942,0.0000012157336,0.000034313725,0.0004766848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834067,0.00008703205,0.00094317796,0.0002190636,0.00008498629,0.0003250743],"domain_scores_gemma":[0.99728215,0.000099954144,0.0023270985,0.00013016656,0.00003314654,0.00012751209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005732665,0.00015266199,0.00048480718,0.00012612065,0.0009798148,0.0003981275,0.000356395,0.00012604876,0.00031209734],"category_scores_gemma":[0.0010825724,0.00018524125,0.0002628246,0.000055107885,0.00005330808,0.00054114923,0.00015952272,0.00024153417,0.000038762613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003860833,0.00019275499,0.802728,0.00012233424,0.00025406148,0.000021810018,0.0021694794,0.0001245547,0.00030947017,0.0018243978,0.004741603,0.18712543],"study_design_scores_gemma":[0.0007181674,0.00005252295,0.9834077,0.00008733168,0.000030957,0.000016937454,0.0002880156,0.00057029404,0.000014948461,0.0010353043,0.013525585,0.0002522734],"about_ca_topic_score_codex":0.00005844476,"about_ca_topic_score_gemma":0.0000075526646,"teacher_disagreement_score":0.18687315,"about_ca_system_score_codex":0.00041279104,"about_ca_system_score_gemma":0.00005432177,"threshold_uncertainty_score":0.7553919},"labels":[],"label_agreement":null},{"id":"W2771697361","doi":"10.1016/j.ecolecon.2017.10.019","title":"Visualisations in Choice Experiments: Comparing 3D Film-sequences and Still-images to Analyse Housing Development Alternatives","year":2017,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Presentation (obstetrics); Set (abstract data type); Comprehension; Choice set; Citizen journalism; Computer science; Task (project management); Marketing; Management science; Economics; Business; Econometrics; World Wide Web; Management","score_opus":0.2368130272734687,"score_gpt":0.32031809695956814,"score_spread":0.08350506968609944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771697361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99153024,0.00013706682,0.00051340484,0.0002987693,0.0002207668,0.00022537334,0.000020184181,0.000016508853,0.007037685],"genre_scores_gemma":[0.9930104,0.00017008772,0.006200172,0.00030396262,0.00006218809,0.00006664256,0.000013643319,0.000012752266,0.00016014613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985553,0.000016500733,0.00063474494,0.000512823,0.000015013244,0.0002656002],"domain_scores_gemma":[0.9991356,0.00008161972,0.00040896633,0.00025540165,0.0000053656117,0.00011302001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004813138,0.00016490786,0.00040818955,0.00015596538,0.00032944782,0.00028123884,0.00029889893,0.000079435646,0.00035195064],"category_scores_gemma":[0.00018802029,0.00019243549,0.000038877173,0.000027245238,0.00013233574,0.0005906992,0.0002753806,0.00009770681,0.00026473083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053972453,0.000084772095,0.9878287,0.000003845953,0.00002903786,0.0000011971167,0.0006909372,0.0067232624,0.000020133342,0.00344657,0.000016325383,0.0011498414],"study_design_scores_gemma":[0.0004641525,0.000042001207,0.9849638,0.000009234722,0.000002695192,6.495977e-7,0.00028310128,0.010084616,0.00026924524,0.001896782,0.0017309244,0.0002528257],"about_ca_topic_score_codex":0.00029847265,"about_ca_topic_score_gemma":0.00073986733,"teacher_disagreement_score":0.0068775387,"about_ca_system_score_codex":0.0004627433,"about_ca_system_score_gemma":0.00001587687,"threshold_uncertainty_score":0.7847292},"labels":[],"label_agreement":null},{"id":"W2774290186","doi":"10.3390/en10122031","title":"South Korean Household’s Willingness to Pay for Replacing Coal with Natural Gas? A View from CO2 Emissions Reduction","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National University of Science and Technology; Seoul National University of Science and Technology; Seoul National University","keywords":"Willingness to pay; Contingent valuation; Coal; Agricultural economics; Electricity; Electricity generation; Quarter (Canadian coin); Natural gas; Coal fired; Economics; Electricity demand; Natural resource economics; Environmental science; Waste management; Power (physics); Engineering; Geography; Microeconomics","score_opus":0.08330784685957675,"score_gpt":0.2276098943119054,"score_spread":0.14430204745232866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774290186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951581,0.00032368908,0.0018882882,0.00065791927,0.00064543076,0.00020053133,0.00018873856,0.000038923044,0.0008983798],"genre_scores_gemma":[0.99513596,0.000095258445,0.0029005993,0.0000838848,0.0002772238,0.00006935149,0.0000775606,0.000030232177,0.0013299242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910784,0.0000060643456,0.00028394072,0.00039052285,0.000025646163,0.00018597444],"domain_scores_gemma":[0.99912256,0.000023895253,0.00032307373,0.00045466446,0.000007517203,0.00006830059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020359851,0.00013304527,0.00025489612,0.00004738878,0.00046546897,0.00015225199,0.00018635333,0.000056617693,0.000057673475],"category_scores_gemma":[0.00005891805,0.00011590005,0.000062777784,0.000021012464,0.000051889667,0.000335736,0.000058530157,0.00007611577,0.000052093703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004195655,0.0001471094,0.86860085,0.00007552897,0.00029897367,0.0000040814693,0.007987042,0.08275808,0.0016140556,0.022622053,0.0060497113,0.009422967],"study_design_scores_gemma":[0.002640886,0.0002837833,0.9292709,0.00024258396,0.00006520062,0.000009994888,0.0027131927,0.0060251723,0.010073826,0.012490827,0.035051204,0.0011323998],"about_ca_topic_score_codex":0.00049392896,"about_ca_topic_score_gemma":0.000051108367,"teacher_disagreement_score":0.0767329,"about_ca_system_score_codex":0.00009923766,"about_ca_system_score_gemma":0.0000108625745,"threshold_uncertainty_score":0.47262672},"labels":[],"label_agreement":null},{"id":"W2775007035","doi":"10.1509/jmr.14.0102","title":"Modeling Simultaneous Multiple Goal Pursuit and Adaptation in Consumer Choice","year":2017,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Identification (biology); A priori and a posteriori; Adaptation (eye); Context (archaeology); Discrete choice; Consumer choice; Valuation (finance); Decision maker; Key (lock); Machine learning; Management science; Economics; Microeconomics; Psychology","score_opus":0.2758548728248057,"score_gpt":0.3327602167891594,"score_spread":0.056905343964353705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775007035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958927,0.001102337,0.00048458984,0.00044569277,0.000105456245,0.00009215938,0.0000045292027,0.0000015851454,0.0018709236],"genre_scores_gemma":[0.99770683,0.0010139003,0.00090759865,0.000013513397,0.00009759582,0.0000024387907,7.8455724e-7,0.0000109798,0.00024635624],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988446,0.00011160739,0.00056495017,0.0001574802,0.00008880652,0.00023251372],"domain_scores_gemma":[0.9981739,0.0011924263,0.0003616872,0.00016047257,0.000046859695,0.000064679705],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.014141436,0.000060658735,0.0001948613,0.00023489397,0.00024112557,0.00018200828,0.0002404878,0.00006237499,0.00008067421],"category_scores_gemma":[0.010975299,0.000068042325,0.000036672176,0.000031264743,0.000083586085,0.00037097288,0.00010579056,0.0003732221,0.000036847112],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017509937,0.00004255011,0.96146685,0.000022072569,0.00001754734,0.00001061907,0.0002957887,0.023410764,0.00007197876,0.00017276895,0.00004433902,0.014269632],"study_design_scores_gemma":[0.0007415057,0.000036186248,0.3867393,0.00004575152,0.0000013144587,0.000007660448,0.00029516756,0.6101982,0.0000033956621,0.0011848666,0.00068670494,0.000059943945],"about_ca_topic_score_codex":0.00044741834,"about_ca_topic_score_gemma":0.00019796858,"teacher_disagreement_score":0.5867874,"about_ca_system_score_codex":0.00018800449,"about_ca_system_score_gemma":0.000022462798,"threshold_uncertainty_score":0.9973557},"labels":[],"label_agreement":null},{"id":"W2775626274","doi":"10.1561/102.00000073","title":"The Effect of Information on Discriminatory-Price and Uniform-Price Reverse Auction Efficiency: An Experimental Economics Study of the Purchase of Ecosystem Services","year":2017,"lang":"en","type":"article","venue":"Strategic Behavior and the Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Reverse auction; Microeconomics; Economics; Ecosystem services; Industrial organization; Ecosystem; Common value auction; Ecology","score_opus":0.03601295078874969,"score_gpt":0.2248676561865649,"score_spread":0.1888547053978152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775626274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980003,0.00012957807,0.000006843153,0.000033625867,0.00014219074,0.000799286,0.000054389355,0.0000019352478,0.0008318483],"genre_scores_gemma":[0.9997248,0.00016427472,0.000004631057,0.0000045486318,0.0000087476865,0.00006396759,0.000004484709,0.000006268687,0.000018254357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999133,0.00006157341,0.0004922005,0.00016211366,0.00004956613,0.0001015677],"domain_scores_gemma":[0.9984403,0.000041436688,0.0009335661,0.0005513022,0.0000023660336,0.00003099099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091515225,0.00012631396,0.00024248501,0.000030078301,0.0004067236,0.000050970597,0.00028312346,0.000046078458,0.000017713564],"category_scores_gemma":[0.0000040697596,0.00007626043,0.000053997683,0.000013382383,0.00029023492,0.00033510017,0.00013054331,0.00007499545,0.0000049965274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010697407,0.0017672734,0.84168243,0.0003223432,0.00021836255,7.405428e-7,0.023853017,0.00929749,0.0009136611,0.116533875,0.0000024479168,0.004338614],"study_design_scores_gemma":[0.005039456,0.0021333816,0.95981085,0.000026894593,0.00012032844,0.0000040835407,0.021141794,0.0050309324,0.0050873165,0.0013214911,0.00006955703,0.00021390629],"about_ca_topic_score_codex":0.00034019054,"about_ca_topic_score_gemma":0.0000226953,"teacher_disagreement_score":0.11812843,"about_ca_system_score_codex":0.0000729104,"about_ca_system_score_gemma":0.0000037377515,"threshold_uncertainty_score":0.312823},"labels":[],"label_agreement":null},{"id":"W2775632528","doi":"10.1007/s11166-017-9267-x","title":"Baseline risk and marginal willingness to pay for health risk reduction","year":2017,"lang":"en","type":"article","venue":"Journal of Risk and Uncertainty","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Universiteit van Tilburg; Royal Society; Universiteit van Amsterdam; University of Central Florida; Yale University; University of Alberta; European Association of Environmental and Resource Economists; U.S. Environmental Protection Agency","keywords":"Baseline (sea); Willingness to pay; Actuarial science; Economics; Preference; Marginal value; Marginal utility; Contingent valuation; Heart disease; Econometric model; Medicine; Econometrics; Microeconomics; Internal medicine","score_opus":0.05143877736211261,"score_gpt":0.26383605666761606,"score_spread":0.21239727930550345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775632528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586924,0.0015240968,0.037120007,0.0015722011,0.0005046511,0.00016147751,0.000362843,0.0000029963628,0.00005935743],"genre_scores_gemma":[0.9756486,0.019388773,0.004316444,0.00007992098,0.0004224996,0.0000045036772,0.0000052558785,0.0000113400665,0.00012266067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899507,0.00003778924,0.0005696871,0.00020620142,0.000029623217,0.00016162904],"domain_scores_gemma":[0.9977911,0.00007670991,0.0017716727,0.0001730555,0.000025748008,0.0001617316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028010106,0.00010572322,0.00034861526,0.00008663079,0.0005966338,0.000099549005,0.00010247279,0.000053260803,0.000031449752],"category_scores_gemma":[0.00040685956,0.00009013247,0.00008219765,0.000019947225,0.000053844768,0.0002768673,0.000032091448,0.00018811328,0.000008259131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002061335,0.00004344727,0.87083745,0.000018115561,0.00004629948,3.9835632e-7,0.00062315224,0.0034117978,0.0000031679563,0.00092122843,0.0011981768,0.12269062],"study_design_scores_gemma":[0.0015268796,0.0004300595,0.9287771,0.000029609424,0.00003590756,0.000019708676,0.00025909962,0.008627479,0.000011354764,0.022939816,0.03718716,0.00015582964],"about_ca_topic_score_codex":0.0010804903,"about_ca_topic_score_gemma":0.000093988085,"teacher_disagreement_score":0.12253479,"about_ca_system_score_codex":0.00011377528,"about_ca_system_score_gemma":0.000019928273,"threshold_uncertainty_score":0.45888853},"labels":[],"label_agreement":null},{"id":"W2776065208","doi":"10.1142/s2382624x18500066","title":"Temporal Reliability of Willingness to Pay for Payments for Environmental Services: Lessons from Lombok, Indonesia","year":2017,"lang":"en","type":"article","venue":"Water Economics and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Universitas Mataram","keywords":"Willingness to pay; Contingent valuation; Payment; Reliability (semiconductor); Econometrics; Actuarial science; Population; Environmental economics; Yield (engineering); Economics; Business; Environmental resource management; Statistics; Mathematics; Microeconomics; Finance; Environmental health","score_opus":0.0640223602537068,"score_gpt":0.2586918176311497,"score_spread":0.19466945737744287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776065208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99117213,0.00004002514,0.0010252583,0.00293093,0.00023069952,0.00062290527,0.0036895745,0.0000054431807,0.00028301863],"genre_scores_gemma":[0.9969515,0.00026154766,0.0011742255,0.00038685833,0.0002409251,0.00014094319,0.00036874803,0.000032262884,0.00044298012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986547,0.0000052855667,0.00057874824,0.0004770625,0.000010674129,0.0002734854],"domain_scores_gemma":[0.9989793,0.00003151681,0.0003676776,0.0005029661,0.0000042940287,0.0001142734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034857335,0.00017193313,0.00042042646,0.000069205045,0.00026054846,0.00010495872,0.0002821393,0.000109030625,0.000043389824],"category_scores_gemma":[0.000008425398,0.00015754053,0.000117868854,0.000006412964,0.00007416095,0.00031441028,0.00015673629,0.00004017572,0.0000636021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095230665,0.0000917598,0.9848315,0.00006257403,0.00006324709,6.3280496e-8,0.000961956,0.00028427347,0.00020897444,0.010198056,0.000033485216,0.003168866],"study_design_scores_gemma":[0.0022726639,0.0001987552,0.84983045,0.000015458907,0.00002241076,6.0168037e-7,0.000114988405,0.0074640317,0.0027291644,0.085013054,0.051894333,0.0004440935],"about_ca_topic_score_codex":0.0016380692,"about_ca_topic_score_gemma":0.00010432184,"teacher_disagreement_score":0.13500106,"about_ca_system_score_codex":0.0001407263,"about_ca_system_score_gemma":0.0000099434665,"threshold_uncertainty_score":0.6424317},"labels":[],"label_agreement":null},{"id":"W2780067409","doi":"10.26481/umamer.2004023","title":"Snow removal auctions in Montreal: costs, informational rents, and procurement management","year":2004,"lang":"en","type":"article","venue":"Meteor Research Memorandum","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Procurement; Common value auction; Economics; Competition (biology); Microeconomics; Sample (material); Economies of scale; Snow; Monetary economics; Business","score_opus":0.1949868586152865,"score_gpt":0.30697340682304636,"score_spread":0.11198654820775986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780067409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91659015,0.0009639798,0.0009111445,0.0020022253,0.000187003,0.0010085083,0.00005364628,0.000022104083,0.07826122],"genre_scores_gemma":[0.99354035,0.0012860892,0.0020918644,0.00007572806,0.000053679905,0.00019192856,0.00006346199,0.000014580335,0.0026823182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99869597,0.0000325347,0.00048408165,0.00031524233,0.00012585169,0.0003463296],"domain_scores_gemma":[0.99955034,0.000030751322,0.0000891869,0.00021501794,0.000017175482,0.000097551085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002103484,0.000106642605,0.00019554055,0.0006384591,0.00016865753,0.000081451995,0.00014154197,0.00005802872,0.00030851155],"category_scores_gemma":[0.000076347475,0.000121218174,0.000038661543,0.0003270349,0.00010447256,0.00042235217,0.0001226619,0.00020854447,0.0007206512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027524756,0.0011494869,0.13614899,0.00031097923,0.00029275517,0.00008575528,0.00307351,0.006033975,0.00011827378,0.7758492,0.005863883,0.070797905],"study_design_scores_gemma":[0.0073116017,0.00022782327,0.8103952,0.00012455067,0.00000939039,0.000025912424,0.0014300229,0.0022387796,0.00035333948,0.12740289,0.0500297,0.00045080468],"about_ca_topic_score_codex":0.00090911175,"about_ca_topic_score_gemma":0.00037626445,"teacher_disagreement_score":0.6742462,"about_ca_system_score_codex":0.00080981734,"about_ca_system_score_gemma":0.000014313232,"threshold_uncertainty_score":0.9262754},"labels":[],"label_agreement":null},{"id":"W2782939767","doi":"10.1186/s40100-018-0096-2","title":"Gender differences in willingness to pay for capital-intensive agricultural technologies: the case of fish solar tent dryers in Malawi","year":2018,"lang":"en","type":"article","venue":"Agricultural and Food Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; International Development Research Centre","keywords":"Willingness to pay; Contingent valuation; Fish <Actinopterygii>; Agriculture; Bidding; Valuation (finance); Economics; Endowment; Agricultural economics; Agricultural science; Business; Microeconomics; Fishery; Ecology; Biology","score_opus":0.06913951875593162,"score_gpt":0.19818483016335306,"score_spread":0.12904531140742143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782939767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961292,0.00019887922,0.00004783753,0.002328698,0.00022339776,0.000589763,0.00028109207,0.000013831089,0.00018731007],"genre_scores_gemma":[0.99900377,0.0002884761,0.00018218369,0.00024975534,0.00006399488,0.0001109293,0.00002280707,0.0000078816,0.000070225164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871176,0.000009012827,0.00058953,0.00039956524,0.000010223516,0.00027989698],"domain_scores_gemma":[0.9994737,0.00006840676,0.00024353623,0.0001423795,0.000029584982,0.000042395903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022134226,0.00018353375,0.00038686124,0.00007689261,0.00009916502,0.00003788118,0.00017842937,0.00012441612,0.000015944617],"category_scores_gemma":[0.000050147744,0.000109474815,0.00008153972,0.00010898658,0.00012685901,0.00024101675,0.000104455874,0.000107332504,0.000021445421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059338563,0.00015965913,0.9367928,0.000078391175,0.00019156431,0.0000039846923,0.010670316,0.0007895938,0.0001966018,0.046255786,0.00087779365,0.0039242106],"study_design_scores_gemma":[0.00059013197,0.0003519943,0.9594575,0.000014935314,0.00000849531,0.00004385664,0.029735701,0.00052143604,0.0003774871,0.008325972,0.00028781645,0.00028462886],"about_ca_topic_score_codex":0.0003331898,"about_ca_topic_score_gemma":0.0027435021,"teacher_disagreement_score":0.03792981,"about_ca_system_score_codex":0.00014714949,"about_ca_system_score_gemma":0.0000052793603,"threshold_uncertainty_score":0.44642535},"labels":[],"label_agreement":null},{"id":"W2783036519","doi":"10.1016/j.conctc.2018.01.002","title":"Investigating the impact of design characteristics on statistical efficiency within discrete choice experiments: A systematic survey","year":2018,"lang":"en","type":"article","venue":"Contemporary Clinical Trials Communications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; Population Health Research Institute; McMaster University; St. Joseph’s Healthcare Hamilton; Impact","funders":"","keywords":"Computer science; Sample size determination; Design of experiments; Quality (philosophy); Efficiency; Covariate; Bayesian probability; Data mining; Statistics; Machine learning; Artificial intelligence; Mathematics","score_opus":0.7778997210242233,"score_gpt":0.48529008038264904,"score_spread":0.2926096406415743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783036519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87494105,0.0025461295,0.10547259,0.00088504853,0.0010260559,0.004874553,0.0022371572,0.00007603482,0.0079413885],"genre_scores_gemma":[0.99673873,0.000113048685,0.00242096,0.00020524237,0.00011372311,0.0001327345,0.00017787598,0.000025632558,0.000072030154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9900341,0.004857843,0.0045143836,0.00034914663,0.0000684087,0.00017608548],"domain_scores_gemma":[0.97166497,0.022889817,0.003352537,0.0019042558,0.000055403896,0.00013302485],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.031631097,0.00019978744,0.0013228421,0.000081236816,0.00030745467,0.00007831141,0.0010382746,0.00013073636,0.00013765863],"category_scores_gemma":[0.0390533,0.00014708853,0.00029645546,0.00018531553,0.001039362,0.00017477474,0.00023638352,0.00030895576,0.00035071358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014860446,0.0010460542,0.9444245,0.00018979397,0.0006700168,2.530916e-7,0.0014876794,0.00014996933,0.0000703422,0.049155913,0.0024734044,0.00018345445],"study_design_scores_gemma":[0.0018032565,0.0013835323,0.92955154,0.0006454632,0.000047052734,8.5434516e-7,0.00023686649,0.058391776,0.000051219216,0.00747112,0.00006136191,0.0003559547],"about_ca_topic_score_codex":0.00065056514,"about_ca_topic_score_gemma":0.000011403819,"teacher_disagreement_score":0.1217977,"about_ca_system_score_codex":0.00011013565,"about_ca_system_score_gemma":0.00012596227,"threshold_uncertainty_score":0.9971396},"labels":[],"label_agreement":null},{"id":"W2783076493","doi":"10.5604/01.3001.0010.7921","title":"ANIMAL WELFARE AS A PUBLIC GOOD IN POLISH OPINION","year":2018,"lang":"en","type":"article","venue":"Annals of the Polish Association of Agricultural and Agribusiness Economists","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Animal welfare; Welfare; Public economics; Agriculture; Public opinion; Public good; Quarter (Canadian coin); Economics; Sample (material); Public interest; Business; Demographic economics; Political science; Market economy; Geography; Politics; Biology; Microeconomics; Law; Ecology","score_opus":0.06769480856461951,"score_gpt":0.2351385972130216,"score_spread":0.1674437886484021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783076493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9570824,0.00024383007,6.4732063e-7,0.03273729,0.00032717022,0.00016219051,0.00019722703,0.000008027356,0.009241215],"genre_scores_gemma":[0.9984172,0.00031792684,0.000012742543,0.00029170938,0.00022817547,0.000009740852,0.000048506587,0.0000070400383,0.00066694064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998736,0.000028549279,0.00068349316,0.00025204752,0.000043228778,0.00025667093],"domain_scores_gemma":[0.99859184,0.000034736488,0.0010839916,0.0001400731,0.00009299554,0.000056356766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047452073,0.00013893747,0.0003694378,0.00008455909,0.0001087952,0.000053539,0.00021845744,0.00013531184,0.00019919485],"category_scores_gemma":[0.00019286545,0.00010991328,0.00012050891,0.0001990486,0.000083486404,0.0005725612,0.000119503304,0.00007922083,0.00004608371],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001167163,0.00011563172,0.89995515,0.00003459797,0.000067890294,2.9713199e-8,0.00039229394,0.000030482039,0.00011986933,0.09607407,0.0029440632,0.0002542444],"study_design_scores_gemma":[0.00043216784,0.000054745142,0.9900507,0.000024006948,0.0000034711954,0.000001598847,0.00019419803,0.000024813913,0.00075012306,0.0027460472,0.0055679884,0.00015016076],"about_ca_topic_score_codex":0.0011027001,"about_ca_topic_score_gemma":0.00029234358,"teacher_disagreement_score":0.09332802,"about_ca_system_score_codex":0.00013850335,"about_ca_system_score_gemma":0.000013741739,"threshold_uncertainty_score":0.44821334},"labels":[],"label_agreement":null},{"id":"W2783294498","doi":"10.1111/ddi.12706","title":"At the landscape level, birds respond strongly to habitat amount but weakly to fragmentation","year":2018,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Bird Studies Canada; Association of Field Ornithologists; Ministry of Natural Resources","keywords":"Fragmentation (computing); Species richness; Habitat fragmentation; Habitat; Ecology; Habitat destruction; Biodiversity; Forest fragmentation; Biology; Geography","score_opus":0.0942796270506572,"score_gpt":0.2286198232314749,"score_spread":0.1343401961808177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783294498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98354274,0.00005304817,0.008105775,0.002378681,0.0001811438,0.00019220772,0.0029642715,0.000014657237,0.002567474],"genre_scores_gemma":[0.99699533,0.000017816972,0.00018505137,0.00043332935,0.00006460229,0.000010403724,0.00018452259,0.0000041170647,0.0021048503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938136,0.00001211923,0.00015941488,0.00024821766,0.00003360892,0.00016525153],"domain_scores_gemma":[0.99961954,0.000030488141,0.00006208665,0.00016170972,0.000015604173,0.00011057645],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025111806,0.00008083863,0.00010488999,0.0000629045,0.0014417558,0.000044747077,0.000116198324,0.000043036966,0.00087454583],"category_scores_gemma":[0.00004543782,0.00008295967,0.00003845651,0.000116448384,0.00008905396,0.00015791476,0.0005386675,0.000044041775,0.002538269],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005369983,0.000041816646,0.9500162,0.000002691804,0.000026417321,4.475488e-7,0.0014501489,0.00012694033,0.00009573353,0.030366967,0.017549084,0.00026986827],"study_design_scores_gemma":[0.00026401054,0.00013914834,0.9786255,0.0000027811254,0.0000103302755,0.0000010239328,0.00069238985,0.00015556075,0.00016741265,0.0012257873,0.018594548,0.000121505116],"about_ca_topic_score_codex":0.00043282539,"about_ca_topic_score_gemma":0.0006439301,"teacher_disagreement_score":0.029141178,"about_ca_system_score_codex":0.00024036861,"about_ca_system_score_gemma":0.0000053089198,"threshold_uncertainty_score":0.99985826},"labels":[],"label_agreement":null},{"id":"W2784269193","doi":"10.1016/j.jenvman.2017.12.058","title":"Implicit individual discount rate in China: A contingent valuation study","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Contingent valuation; China; Valuation (finance); Economics; Actuarial science; Business; Econometrics; Financial economics; Willingness to pay; Microeconomics; Finance; Geography","score_opus":0.05470444435562105,"score_gpt":0.2278760591277715,"score_spread":0.17317161477215046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784269193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429864,0.0002600471,0.0009034361,0.0001738068,0.0003715928,0.00047070577,0.000021676358,0.000003603436,0.0034965058],"genre_scores_gemma":[0.99875224,0.00018741212,0.00033096247,0.0001484701,0.00014944685,0.00001801519,0.0000068432037,0.000018508554,0.00038812892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983588,0.000047261517,0.0010150946,0.0002615187,0.00010555931,0.000211803],"domain_scores_gemma":[0.9989833,0.000012441871,0.00074830494,0.00019462322,0.000002166945,0.00005915975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002000889,0.00015095387,0.00031077847,0.00028561705,0.000073437426,0.000051338036,0.00023466692,0.000036622252,0.0008590179],"category_scores_gemma":[0.000008887726,0.00016084066,0.00009033367,0.00007999654,0.000067874,0.00037241346,0.0001609119,0.00012153104,0.00044722567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053534408,0.0013649687,0.9863833,0.000008890554,0.00025193213,0.00002072533,0.002321903,0.0005170751,0.00013474195,0.003053523,0.00021662684,0.005672758],"study_design_scores_gemma":[0.0020364777,0.0006532826,0.98840773,0.00001393333,0.00003728028,0.0000040015047,0.0017794215,0.00033430185,0.000042370986,0.005400003,0.0011317398,0.00015947387],"about_ca_topic_score_codex":0.000026862352,"about_ca_topic_score_gemma":0.000016550011,"teacher_disagreement_score":0.005513284,"about_ca_system_score_codex":0.0005197411,"about_ca_system_score_gemma":0.0000028779539,"threshold_uncertainty_score":0.94056433},"labels":[],"label_agreement":null},{"id":"W2785877412","doi":"10.1139/cjce-2017-0442","title":"Subway user behaviour when affected by incidents in Toronto (SUBWAIT) survey — A joint revealed preference and stated preference survey with a trip planner tool","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Respondent; Preference; Mode choice; Revealed preference; TRIPS architecture; Transport engineering; Transit (satellite); Service (business); Choice set; Planner; Public transport; Operations research; Computer science; Level of service; Mode (computer interface); Engineering; Econometrics; Business; Statistics; Marketing; Economics; Mathematics","score_opus":0.0721342374381145,"score_gpt":0.19046452975106934,"score_spread":0.11833029231295483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785877412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963488,0.00076732575,0.0019431283,0.000013266666,0.0001577835,0.00016860878,0.0003530764,0.000005351311,0.00024268575],"genre_scores_gemma":[0.9994429,0.00008574447,0.00015535043,0.000026661959,0.000028469054,0.0000070540636,0.000056838366,0.000027677102,0.00016932792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987461,0.000054371103,0.00060898555,0.00022969484,0.00004172384,0.00031915586],"domain_scores_gemma":[0.9991514,0.00005155449,0.00030182776,0.00015292832,0.000049556256,0.00029270118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013774061,0.0001715441,0.00038543,0.00019969515,0.00004427295,0.00008124088,0.0001621442,0.000093058174,0.00058456376],"category_scores_gemma":[0.00022584981,0.0001853656,0.000025425841,0.000104158884,0.00005041482,0.00051380455,0.000016590593,0.00017899447,0.000012893654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031454965,0.000016626596,0.9976258,0.000012101865,0.00003305496,0.000010628052,0.000724604,0.00039486043,0.00004005792,0.00005471535,0.0009805987,0.00007546245],"study_design_scores_gemma":[0.00092875416,0.00020859877,0.9968779,0.0000952827,0.000005777719,0.000014360147,0.000039437837,0.0013926086,0.00002574051,0.00004512328,0.00013768257,0.00022869995],"about_ca_topic_score_codex":0.101187065,"about_ca_topic_score_gemma":0.86549646,"teacher_disagreement_score":0.76430935,"about_ca_system_score_codex":0.00083511666,"about_ca_system_score_gemma":0.000113412694,"threshold_uncertainty_score":0.9047982},"labels":[],"label_agreement":null},{"id":"W2786206137","doi":"10.5539/jsd.v11n1p32","title":"Defining Sustainability in the Greater Yellowstone Ecosystem","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Amenity; Normative; Gateway (web page); Environmental resource management; Sustainability organizations; Ecosystem; Perception; Ecosystem services; Environmental planning; Environmental ethics; Business; Political science; Geography; Ecology; Psychology; Economics; Computer science","score_opus":0.03489683212096255,"score_gpt":0.2135763247236772,"score_spread":0.17867949260271465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786206137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913767,0.0003631022,0.0008405616,0.00092493225,0.00014429935,0.00020732843,0.0000012850776,0.0000033772062,0.006138402],"genre_scores_gemma":[0.99766845,0.000017163009,0.0008006512,0.00019981223,0.00008172134,0.000014410682,0.0000015493083,0.000010371277,0.0012058953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843806,0.000039564555,0.0009675336,0.00016407894,0.000062736966,0.0003280146],"domain_scores_gemma":[0.99912846,0.00004101332,0.00052219274,0.00016458891,0.00009793345,0.00004578637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036939573,0.000110517496,0.00027664757,0.00026736653,0.00014516735,0.000055999863,0.00026768266,0.000057661357,0.00023230317],"category_scores_gemma":[0.00013807825,0.00009190647,0.000064864354,0.00018809718,0.00007437859,0.00034676766,0.00006198245,0.0001476663,0.00018255744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007287922,0.00020338714,0.84515244,0.00013331175,0.00007599265,0.00016957185,0.035384335,0.00035709806,0.0000025636982,0.115191475,0.0020221234,0.0012347915],"study_design_scores_gemma":[0.00080382783,0.00015880988,0.846782,0.000021228823,0.000005036396,0.00005734434,0.04992675,0.00012431608,0.0001151531,0.016796503,0.08502088,0.00018809717],"about_ca_topic_score_codex":0.00003356444,"about_ca_topic_score_gemma":0.00001636539,"teacher_disagreement_score":0.098394975,"about_ca_system_score_codex":0.0014470663,"about_ca_system_score_gemma":0.00014224465,"threshold_uncertainty_score":0.37840283},"labels":[],"label_agreement":null},{"id":"W2786765411","doi":"10.3390/su10020514","title":"Perceptions, Preferences, and Behavior Regarding Energy and Environmental Costs: The Case of Montreal Transport Users","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Business; Preference; Perception; Air pollution; Energy consumption; Environmental economics; Consumption (sociology); Fuel efficiency; Social cost; Marketing; Public economics; Environmental health; Psychology; Economics; Engineering; Medicine; Microeconomics","score_opus":0.0245476095356157,"score_gpt":0.2132190358803573,"score_spread":0.1886714263447416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786765411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99816877,0.00035385217,0.0002930753,0.00013486354,0.00003527334,0.00019691493,0.00012645448,0.000006188315,0.00068460905],"genre_scores_gemma":[0.9992968,0.00024290266,0.000058304915,0.000027981681,0.00002623226,0.000038665865,0.000018042174,0.0000071895684,0.00028388854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926037,0.000023253468,0.00029498874,0.00027607332,0.000014881525,0.00013044517],"domain_scores_gemma":[0.9995946,0.000028728824,0.00011215134,0.00020793467,0.000008638923,0.00004794404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038489557,0.00008867761,0.00015753502,0.00003759588,0.00016075931,0.000016248376,0.00005400439,0.000056252284,0.00017241172],"category_scores_gemma":[0.000022227632,0.00008258692,0.000035923116,0.000028874772,0.00046757265,0.00022478547,0.00003904956,0.00004555776,0.0000018161702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012682143,0.000068311456,0.9799267,0.00001487432,0.000011208201,0.000004719211,0.0010439332,0.0000035684848,0.000008584554,0.007871393,0.00001609733,0.011017952],"study_design_scores_gemma":[0.00029188278,0.00009773075,0.9831818,0.0000018425627,0.000021871336,0.000038860104,0.0066966577,0.00033691456,0.000025613603,0.008846049,0.00036213262,0.00009865312],"about_ca_topic_score_codex":0.006377324,"about_ca_topic_score_gemma":0.0018215033,"teacher_disagreement_score":0.010919299,"about_ca_system_score_codex":0.00046545433,"about_ca_system_score_gemma":0.000010414145,"threshold_uncertainty_score":0.9640649},"labels":[],"label_agreement":null},{"id":"W2786901642","doi":"10.1016/j.foodpol.2018.09.005","title":"Fresh foods irrigated with recycled water: A framed field experiment on consumer responses","year":2018,"lang":"en","type":"article","venue":"Food Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of Alberta","funders":"Economic Research Service; National Institute of Food and Agriculture; California Strawberry Commission; University of Delaware; Department of Agriculture and Water Resources, Australian Government; Department of Water Resources; U.S. Environmental Protection Agency","keywords":"Willingness to pay; Irrigation; Water conservation; Purchasing; Water use; Business; Agriculture; Agricultural economics; Environmental science; Economics; Marketing; Geography; Agronomy","score_opus":0.08860102401764608,"score_gpt":0.260960038649167,"score_spread":0.17235901463152092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786901642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604386,0.00016382072,0.00022379914,0.002247709,0.00015738032,0.0001700813,0.00006681501,0.00004490363,0.036486868],"genre_scores_gemma":[0.9947149,0.000033858512,0.0002857765,0.0029093768,0.0002667524,0.000064206426,0.000022013046,0.000029312263,0.001673794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989603,0.000024507492,0.00032974183,0.00034298882,0.00003269099,0.00030976892],"domain_scores_gemma":[0.9993659,0.000049506358,0.00011782872,0.00036427125,0.000008432635,0.00009401539],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001738826,0.000158847,0.00023640056,0.00019794573,0.00012607737,0.000042304488,0.00013809632,0.00010946807,0.0018782078],"category_scores_gemma":[0.000047329657,0.00013911763,0.000054298933,0.00008299458,0.000108042586,0.000102881924,0.000046811998,0.000086452135,0.0022014559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004788295,0.0015733899,0.27432117,0.00006674764,0.0017557946,0.00002013536,0.020453088,0.00007502022,0.006640143,0.631702,0.048320655,0.010283541],"study_design_scores_gemma":[0.007029032,0.016833747,0.1033404,0.00010310052,0.0000411658,0.000029413302,0.00061928655,0.00060129986,0.49334103,0.0723158,0.3039954,0.0017503189],"about_ca_topic_score_codex":0.00066154427,"about_ca_topic_score_gemma":0.00007495139,"teacher_disagreement_score":0.5593862,"about_ca_system_score_codex":0.00015445227,"about_ca_system_score_gemma":0.000018224215,"threshold_uncertainty_score":0.9990342},"labels":[],"label_agreement":null},{"id":"W2787055726","doi":"10.1007/s11518-018-5359-7","title":"Analysis of the Impact of Sample Size, Attribute Variance and Within-Sample Choice Distribution on the Estimation Accuracy of Multinomial Logit Models Using Simulated Data","year":2018,"lang":"en","type":"article","venue":"Journal of Systems Science and Systems Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Waterloo","funders":"Wuhan University","keywords":"Sample size determination; Multinomial logistic regression; Sample (material); Statistics; Econometrics; Variance (accounting); Mixed logit; Mathematics; Multinomial distribution; Set (abstract data type); A priori and a posteriori; Sample variance; Logit; Computer science; Logistic regression; Economics","score_opus":0.18973763996887882,"score_gpt":0.2898517625294079,"score_spread":0.1001141225605291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787055726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89020014,0.00021901372,0.10865577,0.00000981394,0.00023486823,0.00016035803,0.0005142609,0.0000015274837,0.000004235727],"genre_scores_gemma":[0.99965096,0.000022108137,0.00026613934,0.0000013964142,0.000048138518,4.939318e-7,0.0000049768196,0.0000045359707,0.000001265039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986316,0.000025837238,0.00094332,0.00016183073,0.00012070036,0.00011672049],"domain_scores_gemma":[0.9970689,0.0007698472,0.0016710799,0.00032526164,0.0001245349,0.000040395807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029761156,0.000091193084,0.00043062872,0.00015166093,0.00010445769,0.00005928137,0.0003196541,0.000043583892,0.0000023273233],"category_scores_gemma":[0.0020423506,0.000061117156,0.000064479405,0.00052372616,0.00015521403,0.000671068,0.00008171293,0.00007195706,1.6347101e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056699323,0.00001124551,0.1071175,0.000035460696,0.00012148891,3.2502836e-8,0.00020828,0.89021516,0.001268658,0.0010002501,0.000002697922,0.000013590954],"study_design_scores_gemma":[0.00016994105,0.000058882895,0.13990976,0.00011711373,0.000050614923,0.0000035497098,0.00009470505,0.8593739,0.00012486256,0.000043000953,0.000002585488,0.000051078572],"about_ca_topic_score_codex":0.0029752553,"about_ca_topic_score_gemma":0.0000042873703,"teacher_disagreement_score":0.109450795,"about_ca_system_score_codex":0.0001844613,"about_ca_system_score_gemma":0.00004740063,"threshold_uncertainty_score":0.44977158},"labels":[],"label_agreement":null},{"id":"W2787251298","doi":"10.24266/0738-2898.32.2.64","title":"The Effects of Consideration of Future and Immediate Consequences on Willingness to Pay for Eco-Friendly Plant Attributes","year":2014,"lang":"en","type":"article","venue":"Journal of Environmental Horticulture","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Production (economics); Product (mathematics); Price premium; Business; Willingness to accept; Position (finance); Marketing; Economics; Natural resource economics; Microeconomics","score_opus":0.015705884860864244,"score_gpt":0.18874551732266545,"score_spread":0.1730396324618012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787251298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965666,0.0009386467,0.00048051108,0.0011861218,0.0003928459,0.00023952748,0.00015685616,0.0000011236361,0.000037758175],"genre_scores_gemma":[0.99809617,0.0011306521,0.0004619355,0.00009784146,0.00014684533,0.000008472994,0.000011091666,0.0000072026755,0.000039806288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991128,0.000021389083,0.00058551686,0.0001218203,0.000050724982,0.00010777934],"domain_scores_gemma":[0.9988482,0.00026206535,0.00073542394,0.000087151544,0.000006294657,0.00006086146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035648793,0.00010051162,0.00028834815,0.000032503965,0.000087262146,0.000016603766,0.0000827445,0.00006586041,0.000012194384],"category_scores_gemma":[0.00010949272,0.00006368088,0.000098159806,0.000020857931,0.0000990414,0.00011045341,0.000018316692,0.000082138715,0.0000047702442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092926226,0.0008339268,0.788776,0.00046127048,0.00084137515,0.000006467227,0.0052456795,0.0042874776,0.0981339,0.07789615,0.0049219634,0.017666548],"study_design_scores_gemma":[0.001961057,0.0031008623,0.9114718,0.00010848519,0.00007991256,0.000032899203,0.0011190736,0.000358786,0.061735902,0.008348832,0.011416933,0.0002654716],"about_ca_topic_score_codex":0.0000025077984,"about_ca_topic_score_gemma":0.000004504458,"teacher_disagreement_score":0.1226958,"about_ca_system_score_codex":0.000056066743,"about_ca_system_score_gemma":0.0000043871296,"threshold_uncertainty_score":0.2596831},"labels":[],"label_agreement":null},{"id":"W2788207092","doi":"10.1017/s1474747214000523","title":"Evidence on individual preferences for longevity risk","year":2015,"lang":"en","type":"article","venue":"Journal of Pensions Economics and Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Longevity; Risk aversion (psychology); Economics; Econometrics; Empirical evidence; Life expectancy; Expected utility hypothesis; Longevity risk; Neutrality; Actuarial science; Population; Demography; Financial economics; Biology","score_opus":0.3379233653620882,"score_gpt":0.26522722490212175,"score_spread":0.07269614045996647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788207092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99291754,0.0040721195,0.0010131731,0.0005590855,0.00053963455,0.0001523092,0.00014830331,0.0000027897493,0.0005950236],"genre_scores_gemma":[0.9750355,0.020803794,0.003663189,0.00018000667,0.00015893958,0.000007899511,0.0000035422663,0.0000121807025,0.0001349616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885,0.000016898379,0.0007124846,0.00023857097,0.000023647102,0.00015843606],"domain_scores_gemma":[0.9983623,0.00019277498,0.0011461221,0.00017263237,0.000034882152,0.000091302776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016295805,0.0001242018,0.00039013012,0.00013029684,0.00010357847,0.00006347115,0.00018605632,0.00008163782,0.000019926913],"category_scores_gemma":[0.00037171823,0.00012761635,0.00010869815,0.000036091362,0.000073813986,0.00047446057,0.000051399235,0.00015349305,0.00006126326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045590496,0.0003605236,0.6922058,0.000027830964,0.00021054178,0.0000039479387,0.001624385,0.022863194,0.000007647295,0.23095706,0.009377954,0.04190524],"study_design_scores_gemma":[0.0022199256,0.0016888976,0.73867434,0.00011473577,0.000052483145,0.000039533665,0.00028657352,0.006964972,0.000106498854,0.20721191,0.042201247,0.00043885922],"about_ca_topic_score_codex":0.000029572308,"about_ca_topic_score_gemma":0.000022087073,"teacher_disagreement_score":0.04646858,"about_ca_system_score_codex":0.000111794085,"about_ca_system_score_gemma":0.00004826965,"threshold_uncertainty_score":0.5204044},"labels":[],"label_agreement":null},{"id":"W2789536649","doi":"10.1017/s1355770x17000432","title":"Public preferences for improved urban waste management: a choice experiment","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Willingness to pay; Mixed logit; Preference; Socioeconomic status; Investment (military); Business; Economics; Discrete choice; Waste collection; Municipal solid waste; Public economics; Logistic regression; Population; Microeconomics; Engineering; Waste management; Environmental health","score_opus":0.11240260322711838,"score_gpt":0.20147502574946252,"score_spread":0.08907242252234414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789536649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96948826,0.0008604274,0.010371551,0.0004794205,0.0004439529,0.00093841134,0.000057027504,0.000039999213,0.017320974],"genre_scores_gemma":[0.97124225,0.0011048367,0.022727875,0.00038124446,0.00034227333,0.00042448015,0.00013575482,0.000044617376,0.003596674],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821377,0.000007356375,0.0006737481,0.0006861038,0.000018823102,0.00040017374],"domain_scores_gemma":[0.9992472,0.000029629842,0.00030516414,0.00027270688,0.000003421202,0.0001418918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039606795,0.0002520838,0.00031166684,0.00013765394,0.00029659682,0.00011852855,0.00020051455,0.00009391077,0.0007662529],"category_scores_gemma":[0.000006570742,0.00030510096,0.000056202894,0.000024931442,0.0001493212,0.00037123944,0.00018738574,0.00005353129,0.0007152833],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015234864,0.0006427832,0.65017384,0.00016813724,0.0012763857,6.68307e-7,0.005898697,0.00012233136,0.00022976201,0.19757113,0.0048919376,0.13887197],"study_design_scores_gemma":[0.002366451,0.00022500192,0.09708797,0.000010190093,0.00001399626,0.0000012922707,0.0005441455,0.0028176147,0.0017275772,0.009640152,0.88472795,0.00083767367],"about_ca_topic_score_codex":0.0000072656744,"about_ca_topic_score_gemma":0.000009777979,"teacher_disagreement_score":0.879836,"about_ca_system_score_codex":0.00032790474,"about_ca_system_score_gemma":0.00001184024,"threshold_uncertainty_score":0.9999401},"labels":[],"label_agreement":null},{"id":"W2789705238","doi":"10.1111/1365-2664.13132","title":"When to monitor and when to act: Value of information theory for multiple management units and limited budgets","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Value of information; Computer science; Threatened species; Risk analysis (engineering); Value (mathematics); Expected utility hypothesis; Environmental resource management; Ecology; Habitat; Business; Economics; Artificial intelligence","score_opus":0.032555591141425776,"score_gpt":0.20686846684442456,"score_spread":0.17431287570299878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789705238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859653,0.00003373907,0.009999932,0.00049441605,0.00020535522,0.00041240043,0.00002653867,0.0000025786876,0.0028597002],"genre_scores_gemma":[0.9821617,0.0000587325,0.016793925,0.0007951626,0.00007999019,0.000022880558,0.000004294279,0.0000072432517,0.000076064214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992132,0.0000066481343,0.0005435043,0.00009691384,0.000018822726,0.000120868215],"domain_scores_gemma":[0.9993009,0.00009127686,0.0004204052,0.00008000485,0.00002976913,0.00007762438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073771505,0.00007285273,0.00025724192,0.00026146456,0.000051321455,0.00001776439,0.00008548239,0.000062558465,0.00006272286],"category_scores_gemma":[0.000060646475,0.00007869359,0.000022490125,0.000040644347,0.000039222283,0.00017264247,0.00007194803,0.00004247985,0.00005230519],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029120198,0.00029296416,0.2481684,0.0003046182,0.00091422297,0.0000013440684,0.029367877,0.003394378,0.0009966064,0.57122123,0.013544914,0.12888141],"study_design_scores_gemma":[0.0025457188,0.0011001879,0.8550171,0.000015033358,0.00004320273,0.0000058266096,0.0013558546,0.0014593137,0.0010212626,0.108437665,0.028801497,0.00019729075],"about_ca_topic_score_codex":0.000004838714,"about_ca_topic_score_gemma":0.000008844887,"teacher_disagreement_score":0.6068488,"about_ca_system_score_codex":0.000077334276,"about_ca_system_score_gemma":0.0000048403126,"threshold_uncertainty_score":0.32090315},"labels":[],"label_agreement":null},{"id":"W2790455749","doi":"10.1111/ele.12928","title":"Quantifying effects of biodiversity on ecosystem functioning across times and places","year":2018,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":251,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"H2020 European Research Council; Agence Nationale de la Recherche; National Science Foundation","keywords":"Biodiversity; Ecosystem; Ecosystem services; Ecology; Ecosystem health; Ecosystem diversity; Beta diversity; Global biodiversity; Geography; Environmental resource management; Environmental science; Biology","score_opus":0.05301025492571401,"score_gpt":0.21353855027702257,"score_spread":0.16052829535130855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790455749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978193,0.00005872044,0.0001584839,0.00060312496,0.00063493295,0.000101520105,0.000025226442,0.000012488097,0.0005862206],"genre_scores_gemma":[0.9989671,0.000020086109,0.00011214907,0.0007871439,0.00005079487,0.0000038025512,0.000005434533,0.0000042695174,0.000049201324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994235,0.000015886351,0.0001872472,0.00021949944,0.000010595628,0.00014329699],"domain_scores_gemma":[0.99958956,0.00010604893,0.00018289869,0.00009517657,0.000002856158,0.000023472383],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024618718,0.00007097518,0.00018172481,0.00006348799,0.00015726627,0.00001272777,0.000056629204,0.000059389247,0.00017871115],"category_scores_gemma":[0.000027999255,0.00008510298,0.00003281412,0.000031370713,0.00011527347,0.00010356279,0.00004391607,0.00004980552,0.00091094355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013256162,0.000018326136,0.99707013,0.000026417525,0.000045984518,9.520619e-7,0.00041844972,0.000050402676,0.00028708263,0.0008947654,0.0010749699,0.00009928285],"study_design_scores_gemma":[0.00051013246,0.00018579622,0.99656016,0.000009263336,0.0000062766785,0.0000016862664,0.00010090686,0.00041147374,0.0013478327,0.000089536756,0.00068125397,0.00009571387],"about_ca_topic_score_codex":0.000042079668,"about_ca_topic_score_gemma":0.000090959315,"teacher_disagreement_score":0.0011478356,"about_ca_system_score_codex":0.00007752108,"about_ca_system_score_gemma":0.000001532351,"threshold_uncertainty_score":0.99986696},"labels":[],"label_agreement":null},{"id":"W2790718372","doi":"10.1080/02508060.2018.1429882","title":"The social discourses on market-based instruments to manage non-point-source water pollution in the Oldman River basin, southern Alberta","year":2018,"lang":"en","type":"article","venue":"Water International","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Context (archaeology); Nonpoint source pollution; Incentive; Water source; Point (geometry); Environmental planning; Business; Pollution; Structural basin; Geography; Environmental resource management; Water resource management; Economics; Environmental science; Ecology","score_opus":0.02631841219934183,"score_gpt":0.21930131581918916,"score_spread":0.19298290361984732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790718372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9455701,0.0000014862661,0.00055489695,0.022222603,0.0005596575,0.00020266532,0.00005519979,0.000005917283,0.030827485],"genre_scores_gemma":[0.98253524,0.0000017986963,0.00003356256,0.004144889,0.00032405072,0.00004503616,0.00007277453,0.000016529215,0.01282609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990692,0.000032104137,0.00031486046,0.00026457108,0.00007581198,0.00024346726],"domain_scores_gemma":[0.9996977,0.00002302664,0.00007000191,0.00017673221,0.000008039749,0.00002450861],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006102237,0.000120634715,0.000103678816,0.00011189991,0.00025997567,0.00012596298,0.00039745055,0.000047195295,0.001590144],"category_scores_gemma":[0.000011677688,0.000071214534,0.00007278972,0.000029368604,0.00012109159,0.00014339843,0.00008520476,0.00008416832,0.00543902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018722123,0.0014567228,0.69657284,0.000032666252,0.0006764057,0.000008704078,0.16434878,0.0025277867,0.0007125985,0.047908008,0.055346847,0.028536402],"study_design_scores_gemma":[0.0020598175,0.00019111314,0.69038564,0.0000328121,0.000011966892,0.0000025414952,0.0020586038,0.01047272,0.0032195405,0.010244784,0.28083754,0.00048295615],"about_ca_topic_score_codex":0.001133805,"about_ca_topic_score_gemma":0.00042981075,"teacher_disagreement_score":0.22549069,"about_ca_system_score_codex":0.00020926804,"about_ca_system_score_gemma":0.000002237203,"threshold_uncertainty_score":0.99932253},"labels":[],"label_agreement":null},{"id":"W2790744630","doi":"10.1080/21606544.2018.1450789","title":"Accounting for implicit and explicit payment vehicles in a discrete choice experiment","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Higher Education Commission, Pakistan","keywords":"Willingness to pay; Mixed logit; Payment; Discrete choice; Sample (material); Preference; Economics; Econometrics; Scale (ratio); Quality (philosophy); Welfare; Logistic regression; Microeconomics; Statistics; Mathematics; Geography; Finance","score_opus":0.040138525309725136,"score_gpt":0.24975835053745699,"score_spread":0.20961982522773184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790744630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671304,0.0012624237,0.00011936424,0.00089478487,0.000107359,0.00018165531,0.000089814755,0.0000017366215,0.0006298434],"genre_scores_gemma":[0.9948597,0.0033159186,0.00068229693,0.00050466583,0.0004816104,0.000015515716,0.00000418518,0.000022109842,0.00011399774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876815,0.0000073403135,0.0007452853,0.00023790415,0.000016098016,0.00022523619],"domain_scores_gemma":[0.9991899,0.00005282441,0.00054217846,0.000110786,0.0000019309332,0.0001023705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042782916,0.00014654074,0.0003399774,0.00020232853,0.00008965007,0.00006153513,0.000098808676,0.00006753047,0.00007184847],"category_scores_gemma":[0.000017449376,0.00016347322,0.0000738512,0.000023676472,0.000103562365,0.00037256384,0.00008926358,0.00007502757,0.000018150626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015459905,0.00027188746,0.87811345,0.000037493784,0.00017319145,0.0000012727872,0.0030414576,0.00025447187,0.004475648,0.09327244,0.00019305098,0.02001104],"study_design_scores_gemma":[0.002916519,0.0006120208,0.9347832,0.000024826732,0.000013484461,0.000034935038,0.00075508887,0.0032283943,0.0012669641,0.017926345,0.038069498,0.00036870467],"about_ca_topic_score_codex":0.00014704558,"about_ca_topic_score_gemma":0.000021189599,"teacher_disagreement_score":0.0753461,"about_ca_system_score_codex":0.0003306528,"about_ca_system_score_gemma":0.0000105207155,"threshold_uncertainty_score":0.6666244},"labels":[],"label_agreement":null},{"id":"W2791081959","doi":"10.2478/environ-2018-0001","title":"Valuation approaches to ecosystem goods and services for the National Botanical Garden, Bangladesh","year":2018,"lang":"en","type":"article","venue":"Environmental & Socio-economic Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Contingent valuation; Willingness to pay; Revenue; Valuation (finance); Total economic value; National park; Demographics; Business; Wildlife; Agricultural economics; Marketing; Economics; Geography; Ecosystem services; Finance; Ecosystem","score_opus":0.26212664850297357,"score_gpt":0.2706394961943289,"score_spread":0.008512847691355352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791081959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98769045,0.0037518046,0.00073253363,0.0035192845,0.0006089507,0.00092988374,0.00053287676,0.00002576873,0.0022084352],"genre_scores_gemma":[0.9959346,0.0006652944,0.000779955,0.00079582323,0.0007051185,0.00038438538,0.000036675287,0.000033437704,0.00066470716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984934,0.000025122881,0.00057642855,0.00058487384,0.00005219002,0.00026798298],"domain_scores_gemma":[0.99923223,0.00024296062,0.0002715883,0.00017896114,0.000003232496,0.00007104988],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010667727,0.00022231325,0.00035970355,0.00005191134,0.0005578083,0.000066100554,0.00020115805,0.000089502515,0.0003086585],"category_scores_gemma":[0.000022183083,0.00021484378,0.00011709864,0.000021547132,0.0002601283,0.00023121208,0.00021072381,0.00007093645,0.0015462108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015336875,0.00028070668,0.86567336,0.00016474813,0.0023597428,3.4451745e-7,0.024210101,0.002827916,0.00017145307,0.0868223,0.009903874,0.007432113],"study_design_scores_gemma":[0.0022283632,0.00044207665,0.8371317,0.00003039886,0.00009689131,0.0000102648755,0.022932049,0.02439448,0.00022739738,0.035405,0.07617599,0.00092543353],"about_ca_topic_score_codex":0.000015132493,"about_ca_topic_score_gemma":0.00006311605,"teacher_disagreement_score":0.06627211,"about_ca_system_score_codex":0.0009896718,"about_ca_system_score_gemma":0.000007236857,"threshold_uncertainty_score":0.9992312},"labels":[],"label_agreement":null},{"id":"W2791283330","doi":"10.3390/ijerph15020282","title":"Testing Cessation Messages for Cigarette Package Inserts: Findings from a Best/Worst Discrete Choice Experiment","year":2018,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Cancer Institute; National Institutes of Health","keywords":"Smoking cessation; Computer science; Medicine; Psychology","score_opus":0.2569541627227398,"score_gpt":0.3667808905249185,"score_spread":0.10982672780217873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791283330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874438,0.0013525849,0.0029525773,0.0066305078,0.00033377318,0.00021406799,0.00038425374,0.000003971627,0.000684461],"genre_scores_gemma":[0.9964726,0.0007837164,0.0012766575,0.0004820793,0.00067510037,0.000020976919,0.000088521,0.000018753908,0.00018159545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983481,0.000058296966,0.000713265,0.00027631485,0.00023102453,0.00037298075],"domain_scores_gemma":[0.99877316,0.00034046435,0.0004414037,0.000119397235,0.000041428193,0.00028417344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020217404,0.000110771674,0.000222957,0.00028884225,0.00024458297,0.0001947421,0.00031065298,0.0000614087,0.0006623348],"category_scores_gemma":[0.00045263598,0.00011600376,0.00005669528,0.000065350454,0.00024563438,0.00070012995,0.00012794764,0.000205863,0.00004815658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111243135,0.00065595546,0.9500767,0.000016081514,0.00027765657,0.000004034488,0.0029495235,0.000006852686,0.0019431973,0.004436637,0.0024282078,0.03709391],"study_design_scores_gemma":[0.0017104244,0.0014694997,0.9372263,0.00006514549,0.0000029122705,0.000012387133,0.0016695947,0.0006840239,0.0007138447,0.011717384,0.04454124,0.00018725003],"about_ca_topic_score_codex":0.00045253328,"about_ca_topic_score_gemma":0.000033533568,"teacher_disagreement_score":0.04211303,"about_ca_system_score_codex":0.0008785239,"about_ca_system_score_gemma":0.00006888342,"threshold_uncertainty_score":0.72521013},"labels":[],"label_agreement":null},{"id":"W2791710379","doi":"10.1016/j.cosust.2018.01.007","title":"Investments to reverse biodiversity loss are economically beneficial","year":2017,"lang":"en","type":"article","venue":"Current Opinion in Environmental Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Governo Brasil; Government of the United Kingdom","keywords":"Convention on Biological Diversity; Biodiversity; Context (archaeology); Business; Diversity (politics); Biodiversity conservation; Natural resource economics; Environmental resource management; Sustainable development; Environmental planning; Economics; Geography; Ecology; Political science; Biology","score_opus":0.10246545728744923,"score_gpt":0.2731992481918144,"score_spread":0.1707337909043652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791710379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933184,0.00029529285,0.00015590907,0.002802778,0.0019175332,0.0007406507,0.0004573788,0.000016085933,0.00029596972],"genre_scores_gemma":[0.9989997,0.00034177987,0.00009138926,0.00014972186,0.00012871913,0.00006215369,0.00008850891,0.000013188576,0.00012483686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980499,0.00003237645,0.0006359605,0.00081271486,0.00005485264,0.00041416247],"domain_scores_gemma":[0.99842995,0.000018920317,0.00050632225,0.000828926,0.000004287462,0.00021161091],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005973499,0.00023677791,0.00037841458,0.00013540752,0.00039613154,0.00012656375,0.00052604877,0.000113329115,0.0006040389],"category_scores_gemma":[0.00015163737,0.00031724173,0.00013560706,0.000033928995,0.0002480998,0.0008483673,0.0005949267,0.00019594535,0.0013626135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003539133,0.00040262582,0.99360496,0.000058770456,0.00000944852,8.0261503e-7,0.0002095861,0.00039306612,0.0000017404175,0.0026536784,0.00091162836,0.0017183331],"study_design_scores_gemma":[0.0008222248,0.00004522341,0.9426212,0.000015724387,0.0000024985331,5.89227e-7,0.00032073032,0.00011646029,0.000012566188,0.014031637,0.04169293,0.00031825123],"about_ca_topic_score_codex":0.00047148956,"about_ca_topic_score_gemma":0.000024604939,"teacher_disagreement_score":0.050983764,"about_ca_system_score_codex":0.0038319167,"about_ca_system_score_gemma":0.000017846281,"threshold_uncertainty_score":0.9999922},"labels":[],"label_agreement":null},{"id":"W2791814319","doi":"10.1016/j.ecolind.2018.01.041","title":"Economic valuation of groundwater protection using a groundwater quality ladder based on chemical threshold levels","year":2018,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Groundwater; Contingent valuation; Willingness to pay; Aquifer; Valuation (finance); Environmental science; Water resource management; Natural resource economics; Environmental resource management; Business; Economics; Geology","score_opus":0.25394944567994765,"score_gpt":0.2924649053898766,"score_spread":0.03851545970992892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791814319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98828995,0.000010226287,0.006457412,0.0002094149,0.0003546641,0.00042789715,0.000032210966,0.000033167482,0.0041850447],"genre_scores_gemma":[0.9984496,0.0000019368051,0.00076826825,0.00037010657,0.00020467413,0.000060023896,0.000026966094,0.000021260372,0.00009715389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818695,0.000059446298,0.0008623238,0.00054033904,0.00006154581,0.0002893756],"domain_scores_gemma":[0.9989929,0.000054985565,0.00056505157,0.00029527783,0.000010443958,0.000081350394],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001309519,0.00018879921,0.00039658506,0.00024729877,0.00013249538,0.00003811103,0.00018415478,0.0002787878,0.005814068],"category_scores_gemma":[0.000061578474,0.00018381534,0.00014684942,0.00010944432,0.00028975634,0.00022322766,0.000063477244,0.0001639679,0.0013313234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018732331,0.0014229879,0.9440022,0.000043672066,0.000120763994,0.0000010721606,0.00039896567,0.0028878879,0.0034266338,0.046083264,0.00016498953,0.0012602566],"study_design_scores_gemma":[0.0010445542,0.00069064816,0.9241669,0.000011274164,0.000014553545,0.0000014527717,0.000036545578,0.039290592,0.011857398,0.022036385,0.0004702533,0.000379404],"about_ca_topic_score_codex":0.00015447759,"about_ca_topic_score_gemma":0.000019141904,"teacher_disagreement_score":0.036402706,"about_ca_system_score_codex":0.0006905479,"about_ca_system_score_gemma":0.000025029503,"threshold_uncertainty_score":0.9994463},"labels":[],"label_agreement":null},{"id":"W2792019920","doi":"","title":"Re-estimating UK Appraisal Values for Non-work Travel Time Savings Using Random Coefficient Logit Model","year":2014,"lang":"en","type":"article","venue":"European Transport Conference 2014Association for European Transport (AET)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Multinomial logistic regression; Discrete choice; Value of time; Journey to work; Economics; Mixed logit; Logit; Statistics; Mathematics; Travel time; Engineering; Logistic regression; Transport engineering; Public transport","score_opus":0.07850894337374552,"score_gpt":0.23893719189186322,"score_spread":0.1604282485181177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792019920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23250839,0.000036669313,0.7332403,0.00014763534,0.0005069195,0.0010464255,0.0007748413,0.00012381187,0.03161502],"genre_scores_gemma":[0.97005194,0.000029987532,0.024378173,0.0003001234,0.0004302623,0.000042574797,0.0017276221,0.00023405497,0.0028052323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958474,0.00012411183,0.0019357429,0.0011516248,0.00016547105,0.00077567104],"domain_scores_gemma":[0.99757445,0.00024080243,0.0013272787,0.00050238625,0.00011917868,0.00023590428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00425717,0.0005651277,0.00096386444,0.00021585323,0.0005444551,0.00010836311,0.00058242516,0.00013870363,0.00029962006],"category_scores_gemma":[0.00016060693,0.00068374607,0.0005886647,0.00016350052,0.00015745554,0.0004161722,0.00002067636,0.00025400348,0.000552515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010185236,0.0009960892,0.33470523,0.00060543633,0.0007323349,0.00001305051,0.01624716,0.6160281,0.0021420408,0.01763207,0.0045256913,0.0053542783],"study_design_scores_gemma":[0.006439802,0.0002454524,0.24306382,0.00015394931,0.00022668528,0.0000012932071,0.00016081588,0.7434792,0.00011928262,0.0015250902,0.0033951302,0.0011894634],"about_ca_topic_score_codex":0.000031977266,"about_ca_topic_score_gemma":0.000012013256,"teacher_disagreement_score":0.7375436,"about_ca_system_score_codex":0.00023403022,"about_ca_system_score_gemma":0.00005067764,"threshold_uncertainty_score":0.99956137},"labels":[],"label_agreement":null},{"id":"W2793184339","doi":"10.1038/s41893-018-0036-x","title":"From principles to practice in paying for nature’s services","year":2018,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":338,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Conditionality; Ecosystem services; Payment; Incentive; Equity (law); Public economics; Payment for ecosystem services; Environmental economics; Business; Context (archaeology); Social Welfare; Risk analysis (engineering); Environmental resource management; Economics; Microeconomics; Ecosystem; Political science; Ecology; Finance","score_opus":0.026814834930791096,"score_gpt":0.28387835848762133,"score_spread":0.2570635235568302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793184339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98508924,0.0012941317,0.0011059886,0.007211408,0.00069467665,0.0009067452,0.00013592208,0.000027866694,0.0035340071],"genre_scores_gemma":[0.9903552,0.00001643164,0.005694698,0.002848617,0.00037260406,0.00010428932,0.000048431102,0.000018532473,0.0005411825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985827,0.000026971133,0.00044741758,0.0006155058,0.000030428262,0.00029695084],"domain_scores_gemma":[0.9989607,0.00026849948,0.00020457646,0.00040179348,0.00009215294,0.00007228687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012389194,0.00013933513,0.00025405706,0.00011594481,0.00009995701,0.00007373546,0.00023623412,0.00044933253,0.000111886126],"category_scores_gemma":[0.0017214665,0.00016063494,0.00006824715,0.00016311806,0.00004163492,0.0006470085,0.00011086357,0.00041215555,0.000087503846],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036014523,0.00035783678,0.78623444,0.00019533286,0.000055624423,0.0000027177953,0.0072564664,0.0004568147,0.000016453547,0.19837056,0.00078723155,0.005906389],"study_design_scores_gemma":[0.00047279938,0.00008155703,0.42342553,0.000007979175,0.000005420834,3.6460938e-7,0.00259456,0.00070413406,0.00011731639,0.16235898,0.41001624,0.00021510149],"about_ca_topic_score_codex":0.00089532125,"about_ca_topic_score_gemma":0.00064360787,"teacher_disagreement_score":0.409229,"about_ca_system_score_codex":0.0011379585,"about_ca_system_score_gemma":0.00003336503,"threshold_uncertainty_score":0.6550503},"labels":[],"label_agreement":null},{"id":"W2793899541","doi":"10.4236/tel.2018.83034","title":"A Behavioral Economic Study of Tax Rate Selection by the Median Voter: Can the Tax Rate Be Influenced by the Name of the Publicly Provided Private Good?","year":2018,"lang":"en","type":"article","venue":"Theoretical Economics Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public good; Private good; Framing effect; Public economics; Economics; Context (archaeology); Tax rate; Health care; Actuarial science; Microeconomics; Monetary economics; Psychology; Social psychology","score_opus":0.02332955592081986,"score_gpt":0.21492338082266882,"score_spread":0.19159382490184895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793899541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9538361,0.000030323623,0.000118288925,0.043246828,0.00044502236,0.0013168462,0.0005065359,0.000015484242,0.00048457022],"genre_scores_gemma":[0.995399,0.000043357544,0.000019772056,0.0040128953,0.00013434135,0.00015942048,0.000025168314,0.000050622697,0.00015541911],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9973192,0.00032897576,0.001252544,0.0005837313,0.00005045703,0.00046508881],"domain_scores_gemma":[0.9974382,0.00031642953,0.0011733382,0.00097508804,0.00001912891,0.00007783148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002548707,0.00032383692,0.000509763,0.00006896049,0.00042347712,0.00015799924,0.0012599871,0.00012625472,0.0003772063],"category_scores_gemma":[0.00007916128,0.00020408028,0.00020205759,0.00013052594,0.0021230543,0.00028313964,0.00028294706,0.00037782712,0.000085397915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003542256,0.0007763064,0.25249323,0.000027594382,0.0007599698,3.9583546e-7,0.010119987,0.0023208123,0.008490041,0.70601237,0.017105967,0.0015391245],"study_design_scores_gemma":[0.017048549,0.005174278,0.46814066,0.00009080011,0.0010189716,0.000054116666,0.0119874105,0.08222621,0.07581906,0.29952955,0.03457041,0.0043400046],"about_ca_topic_score_codex":0.002257811,"about_ca_topic_score_gemma":0.0013641164,"teacher_disagreement_score":0.40648282,"about_ca_system_score_codex":0.0004364195,"about_ca_system_score_gemma":0.000047336693,"threshold_uncertainty_score":0.8322152},"labels":[],"label_agreement":null},{"id":"W2793951978","doi":"10.1016/j.jenvman.2018.02.042","title":"Estimating water user demand for certification of forest watershed services","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"U.S. Forest Service; Universitas Mataram; United Nations Environment Programme; University of British Columbia; Global Environment Facility","keywords":"Certification; Ecosystem services; Certified wood; Business; Watershed; Stewardship (theology); Environmental resource management; Watershed management; Forest management; Upstream (networking); Payment; Environmental economics; Ecosystem; Environmental science; Finance; Computer science; Agroforestry; Economics; Telecommunications; Ecology","score_opus":0.04221836039883937,"score_gpt":0.20675556410364174,"score_spread":0.16453720370480238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793951978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758982,0.00008782242,0.022021249,0.00014972554,0.00027909141,0.00022905681,0.000019566593,0.000002639118,0.0013126554],"genre_scores_gemma":[0.9860691,0.000051970987,0.013107428,0.00007322162,0.00014196565,0.0000103929115,0.000018295808,0.000015938758,0.000511709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998892,0.000007622158,0.00074002385,0.00015585929,0.000056209836,0.00014827038],"domain_scores_gemma":[0.9992514,0.000009740299,0.0005452435,0.00014882762,0.0000057876696,0.000038970647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065180846,0.000096751224,0.00021347981,0.000115418785,0.00006634898,0.000020763886,0.00016459715,0.000035989906,0.0004716261],"category_scores_gemma":[0.0000025196903,0.000085164844,0.000102957216,0.000017330467,0.000067364985,0.00029901872,0.0000669586,0.0000344244,0.0001675621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021697726,0.00061345036,0.96367925,0.00039890502,0.00057305896,0.0000021392707,0.0023347829,0.009330143,0.010228988,0.0055168294,0.0004976248,0.0066078566],"study_design_scores_gemma":[0.0015369252,0.00046230742,0.95887077,0.000042828415,0.00007279671,0.000005756804,0.00051917695,0.007880294,0.010281557,0.012014967,0.008106545,0.00020605634],"about_ca_topic_score_codex":0.000007588461,"about_ca_topic_score_gemma":0.000002558399,"teacher_disagreement_score":0.010170883,"about_ca_system_score_codex":0.00016685594,"about_ca_system_score_gemma":9.082046e-7,"threshold_uncertainty_score":0.5163975},"labels":[],"label_agreement":null},{"id":"W2794363584","doi":"10.1136/bmjopen-2017-016662","title":"Disentangling the determinants of interest and willingness-to-pay for breast cancer susceptibility testing in the general population: a cross-sectional Web-based survey among women of Québec (Canada)","year":2018,"lang":"en","type":"article","venue":"BMJ Open","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hôpital du Saint-Sacrement; Université Laval","funders":"Canadian Institutes of Health Research; Government of Canada; Genome Canada","keywords":"Medicine; Cross-sectional study; Breast cancer; Willingness to pay; Epidemiology; Family medicine; Population; Cancer; Environmental health; Pathology; Internal medicine","score_opus":0.25932832089275376,"score_gpt":0.35831895657731244,"score_spread":0.09899063568455868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794363584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792206,0.0000074250993,0.0000291457,0.00013743805,0.00011059234,0.0011524736,0.0005812755,0.0000011478954,0.00005844941],"genre_scores_gemma":[0.99936014,6.325673e-7,0.00011650297,0.00012148326,0.000067683955,0.00027566784,0.000010969942,0.00000777819,0.00003913259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991001,0.000038934053,0.0005074422,0.00020376766,0.000029257444,0.00012051488],"domain_scores_gemma":[0.99921304,0.00020537457,0.00034356583,0.00018527298,0.00002780141,0.00002495656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022683311,0.000068479385,0.00019041108,0.000025792691,0.00010930349,0.00004876342,0.00024578042,0.000026630474,0.000095118856],"category_scores_gemma":[0.00018328818,0.0000501357,0.000020097325,0.00008843994,0.00009746127,0.00012641712,0.00008372217,0.000037436912,8.506856e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008128465,0.00001905763,0.9984217,0.000020344458,0.000005800939,6.0372926e-8,0.00017404823,0.00072600733,0.000004571952,0.00005102228,0.00001448069,0.00048162058],"study_design_scores_gemma":[0.0004192924,0.000041575157,0.96161306,0.000020583435,0.000001299765,6.710883e-7,0.00007315533,0.0374897,0.00001690973,0.00023978991,0.000012996283,0.00007094187],"about_ca_topic_score_codex":0.5426308,"about_ca_topic_score_gemma":0.9376119,"teacher_disagreement_score":0.3949811,"about_ca_system_score_codex":0.00024638197,"about_ca_system_score_gemma":0.0001235728,"threshold_uncertainty_score":0.46041486},"labels":[],"label_agreement":null},{"id":"W2795283092","doi":"10.1139/cjfr-2017-0407","title":"Efficiency of early selection in <i>Calycophyllum spruceanum</i> and <i>Guazuma crinita</i>, two fast-growing timber species of the Peruvian Amazon","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria; Department for International Development; United States Agency for International Development","keywords":"Selection (genetic algorithm); Amazon rainforest; Revenue; Net present value; Agroforestry; Economics; Biology; Computer science; Production (economics); Ecology; Microeconomics","score_opus":0.08489349288284914,"score_gpt":0.2616551648598694,"score_spread":0.17676167197702025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795283092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99008554,0.0003685176,0.00006494963,0.00023326356,0.00014353533,0.00011735967,0.0000162776,5.99487e-7,0.008969978],"genre_scores_gemma":[0.9992611,0.000044785254,0.00010215553,0.000023718163,0.00011635332,0.0000013666555,4.752346e-7,0.000010350002,0.00043974392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988665,0.000056241475,0.00056258624,0.00013935982,0.000085325046,0.0002900104],"domain_scores_gemma":[0.9993214,0.00006165519,0.0002606593,0.000120920886,0.00008486084,0.00015052428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015915709,0.00007209699,0.00022409126,0.00054206257,0.00012831947,0.00003715553,0.0002446135,0.000053486958,0.00027945894],"category_scores_gemma":[0.00016354506,0.00006755045,0.00007048821,0.00036541832,0.00050706585,0.000262315,0.000033438828,0.0002809977,0.00002705089],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001308588,0.0000131643055,0.99232507,0.000012901044,0.000010748285,0.00000175574,0.0011054063,0.00024309024,0.0003573194,0.0055731684,0.00011061989,0.00023368128],"study_design_scores_gemma":[0.00043714084,0.0003269688,0.9930058,0.000052064777,0.0000025617273,0.000011471755,0.00041151667,0.00042034022,0.001208507,0.0032488122,0.0008107203,0.000064096894],"about_ca_topic_score_codex":0.011684222,"about_ca_topic_score_gemma":0.04507413,"teacher_disagreement_score":0.03338991,"about_ca_system_score_codex":0.00027302833,"about_ca_system_score_gemma":0.00019137471,"threshold_uncertainty_score":0.99489707},"labels":[],"label_agreement":null},{"id":"W2795629208","doi":"10.1111/cjag.12169","title":"Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Regional Development Fund; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Bivariate analysis; Context (archaeology); Logit; Willingness to accept; Incentive; Willingness to pay; Multivariate probit model; Attendance; Ordered probit; Econometrics; Economics; Microeconomics; Geography; Statistics; Mathematics","score_opus":0.049016288437829465,"score_gpt":0.18665789700989752,"score_spread":0.13764160857206806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795629208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99590456,0.00022658567,0.000054181197,0.0010666989,0.0012897932,0.000474267,0.0007061674,0.0000056909316,0.0002720576],"genre_scores_gemma":[0.99768966,0.000091273236,0.00051208615,0.0008726764,0.00048415078,0.000016734883,0.000039658138,0.000040365794,0.00025337617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99710745,0.0000252263,0.0014769604,0.0005964171,0.000014389042,0.0007795325],"domain_scores_gemma":[0.9969857,0.000095101626,0.0010169437,0.00028112155,0.000049356207,0.0015718059],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053953246,0.00039448822,0.0009791935,0.00051668135,0.00023412997,0.000112866655,0.00045568653,0.0001674329,0.00034023356],"category_scores_gemma":[0.00012408248,0.0004174294,0.00018911727,0.00014707125,0.00016088948,0.00053445593,0.00006584425,0.00021869277,0.00030693648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014047333,0.000058960683,0.97264683,0.00009730416,0.0003650304,0.000030611853,0.0049808514,0.0040529277,0.0010744275,0.0041111032,0.0012415693,0.0111998925],"study_design_scores_gemma":[0.0010470505,0.0012392857,0.98590964,0.00014395878,0.000031345153,0.00008585212,0.001126013,0.000197929,0.0031468861,0.0005997018,0.005836472,0.0006358809],"about_ca_topic_score_codex":0.006293741,"about_ca_topic_score_gemma":0.09781314,"teacher_disagreement_score":0.0915194,"about_ca_system_score_codex":0.0019803115,"about_ca_system_score_gemma":0.00013099023,"threshold_uncertainty_score":0.99982774},"labels":[],"label_agreement":null},{"id":"W2795826358","doi":"10.11575/prism/2792","title":"The enforceability of conservation easement agreements in Alberta","year":2009,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Easement; Business; Political science; Law","score_opus":0.028152057560600123,"score_gpt":0.18709516797173822,"score_spread":0.1589431104111381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795826358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95196265,0.0003765226,0.0009289511,0.00022394725,0.00014082101,0.0003406825,0.0000033268495,0.0000030610029,0.046020016],"genre_scores_gemma":[0.9786415,0.0009619311,0.00089761,0.000034663673,0.0000052708388,0.0000014298155,0.00045523111,0.000009926665,0.018992424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991513,0.000019850422,0.00043058174,0.00022909127,0.00004864685,0.000120519406],"domain_scores_gemma":[0.9989109,0.000058245576,0.00074226357,0.00024694455,0.000013299358,0.000028319027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003817929,0.00010835714,0.00030668042,0.00011861348,0.00007886597,0.000005535062,0.00023235814,0.00014223899,0.00026106916],"category_scores_gemma":[0.000033582917,0.0001374,0.00011339366,0.00006824779,0.00006125381,0.00013491532,0.000026962558,0.00010916717,0.000059516915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043076565,0.00054521183,0.78272575,0.00030225312,0.00025687812,0.0000022881045,0.007601299,0.00003255196,0.00006645492,0.07511936,0.0017925639,0.13112462],"study_design_scores_gemma":[0.0005969053,0.00006036224,0.9778474,0.000035104036,0.00001655369,6.1246844e-8,0.0003153572,0.0056978893,0.000050344373,0.010746959,0.004500744,0.00013233977],"about_ca_topic_score_codex":0.01823564,"about_ca_topic_score_gemma":0.0041152267,"teacher_disagreement_score":0.19512163,"about_ca_system_score_codex":0.00019938125,"about_ca_system_score_gemma":0.000027568803,"threshold_uncertainty_score":0.988302},"labels":[],"label_agreement":null},{"id":"W2795997825","doi":"10.35609/gjbssr.2017.5.2(8)","title":"Are Tourists Willing to Pay for Mitigation of Abrasion? A study on Coastal Areas in Yogyakarta, Indonesia","year":2017,"lang":"en","type":"article","venue":"GATR Global Journal of Business Social Sciences Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; Willingness to pay; Abrasion (mechanical); Geography; Archipelago; Vulnerability (computing); Socioeconomics; Engineering; Economics","score_opus":0.1489248493916233,"score_gpt":0.33558665289481443,"score_spread":0.18666180350319114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795997825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935335,0.002052261,0.00051910494,0.0025931357,0.00035023075,0.00046743697,0.00005277841,0.0000014364034,0.00043011858],"genre_scores_gemma":[0.9981688,0.0011469324,0.00017614273,0.0003470662,0.00013814268,0.000011122991,0.0000012791797,0.000004012257,0.0000064964975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987171,0.000027273903,0.0008150794,0.000188502,0.000100482925,0.00015152838],"domain_scores_gemma":[0.9975168,0.000023988076,0.002235002,0.000107649656,0.00007156484,0.000044963264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016351185,0.00009770338,0.0005338213,0.00007568666,0.00026034983,0.000066527544,0.00036829116,0.000038297025,0.0000212254],"category_scores_gemma":[0.00031331307,0.000083692124,0.000115165196,0.00022091897,0.00009734183,0.00039592275,0.00004979949,0.000055225304,0.000012609603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016374592,0.00014169312,0.9931701,0.00010876138,0.000011001695,0.0000019010297,0.00008469313,0.0001809966,0.00000251899,0.00078039634,0.00017809018,0.005323484],"study_design_scores_gemma":[0.0004960551,0.0001261311,0.9957259,0.0006762197,0.000014066838,0.0000026983885,0.00020155078,0.000025786943,0.0000024131145,0.0021738529,0.0004605201,0.000094766176],"about_ca_topic_score_codex":0.00010232365,"about_ca_topic_score_gemma":0.00013660536,"teacher_disagreement_score":0.005228718,"about_ca_system_score_codex":0.00015652885,"about_ca_system_score_gemma":0.000043337885,"threshold_uncertainty_score":0.34128657},"labels":[],"label_agreement":null},{"id":"W2796428861","doi":"10.1016/j.juro.2018.02.2580","title":"MP76-12 DETERMINING PARENTAL PREFERENCES FOR TREATMENT OF VESICOURETERAL REFLUX: PROFILE CASE BEST-WORST SCALING","year":2018,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Care Foundation","funders":"Winship Cancer Institute","keywords":"Vesicoureteral reflux; Medicine; Value (mathematics); Logistic regression; Statistics; Reflux; Internal medicine; Mathematics","score_opus":0.1700853604108129,"score_gpt":0.27808832724024557,"score_spread":0.10800296682943267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796428861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970369,0.0006121863,0.0009909377,0.00011661559,0.00035838602,0.00013368994,0.00004019334,0.0000018940301,0.0007092234],"genre_scores_gemma":[0.9985413,0.00016387449,0.00083285413,0.00005532555,0.00029843723,0.000006418236,0.0000029738146,0.000009400363,0.00008941587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913675,0.0000314162,0.000573798,0.00009651355,0.000017373377,0.00014417301],"domain_scores_gemma":[0.99899083,0.00011910498,0.0007262645,0.000112899696,0.000015925543,0.000034989138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048658988,0.000084982144,0.0002863603,0.00007675472,0.000094018884,0.000008689757,0.000113157024,0.000056153858,0.0002153288],"category_scores_gemma":[0.000025657777,0.00006491259,0.00009008586,0.000022052818,0.00013731228,0.000110392866,0.000018410017,0.00004041683,0.000033500983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014552239,0.00087446795,0.9178455,0.000045919925,0.00067069236,0.00005407081,0.016594952,0.0012257106,0.0014524295,0.0032645876,0.00046059393,0.05605588],"study_design_scores_gemma":[0.024437135,0.094794124,0.6408507,0.00013249909,0.001438737,0.014961653,0.009220949,0.06417923,0.021266174,0.10184694,0.025083592,0.0017882586],"about_ca_topic_score_codex":0.000044480566,"about_ca_topic_score_gemma":0.00003263738,"teacher_disagreement_score":0.27699476,"about_ca_system_score_codex":0.000070570626,"about_ca_system_score_gemma":0.000013101664,"threshold_uncertainty_score":0.26470584},"labels":[],"label_agreement":null},{"id":"W2796574492","doi":"10.2147/ppa.s152872","title":"Inflammatory bowel disease patients prioritize mucosal healing, symptom control, and pain when choosing therapies: results of a prospective cross-sectional willingness-to-pay study","year":2018,"lang":"en","type":"article","venue":"Patient Preference and Adherence","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Western University","funders":"","keywords":"Medicine; Inflammatory bowel disease; Disease; Cross-sectional study; Prospective cohort study; Pain control; Internal medicine; Intensive care medicine; Pain management; Physical therapy; Surgery; Pathology","score_opus":0.05097327020071817,"score_gpt":0.24047153357835266,"score_spread":0.18949826337763448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796574492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731284,0.00023692031,0.0006060536,0.00002873062,0.00018071022,0.0010098851,0.0003257168,0.000020458414,0.00027868288],"genre_scores_gemma":[0.9993442,0.0000618651,0.00018220463,0.00012432251,0.00006406876,0.00011697347,0.000023454011,0.000015325695,0.000067531866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982258,0.000064607564,0.0007657981,0.00062447577,0.00008968029,0.000229623],"domain_scores_gemma":[0.9989832,0.00009716543,0.00045065707,0.00022690288,0.00007925021,0.00016281947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006620705,0.00019378771,0.00027148862,0.00008520434,0.000207949,0.000098676326,0.00012326596,0.000060562612,0.000050673385],"category_scores_gemma":[0.00023171458,0.00018526935,0.000034997556,0.00005843692,0.00020295373,0.00039221512,0.00009075656,0.00010636029,0.00003385948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034477425,0.0002573967,0.9927208,0.000031280917,0.000038217215,2.6456414e-7,0.004415892,0.000023510285,0.000014621038,0.00042934006,0.000015430098,0.0017085036],"study_design_scores_gemma":[0.002517378,0.0014927452,0.9899557,0.00005968209,0.000007661521,1.4690823e-7,0.00021672876,0.0008732116,0.000021776816,0.004536352,0.00009010912,0.00022846562],"about_ca_topic_score_codex":0.00018790559,"about_ca_topic_score_gemma":0.0000347311,"teacher_disagreement_score":0.004199163,"about_ca_system_score_codex":0.000085468186,"about_ca_system_score_gemma":0.000027648191,"threshold_uncertainty_score":0.7555065},"labels":[],"label_agreement":null},{"id":"W2797063833","doi":"10.7939/r3ct42","title":"Valuation of irrigation water in southern Alberta: a stated preference approach","year":2010,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Irrigation; Economics; Environmental science; Accounting; Ecology","score_opus":0.05108124739413003,"score_gpt":0.15645897065386163,"score_spread":0.1053777232597316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797063833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9362969,0.000009271014,0.00028617654,0.00015989177,0.000042172647,0.0001276091,0.000014994337,0.0000043503933,0.06305866],"genre_scores_gemma":[0.99112904,0.000010543661,0.0013377335,0.000015594678,0.000007135164,3.9457245e-7,0.00022479324,0.0000081741355,0.007266607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944246,0.000015118608,0.0002348241,0.00018828489,0.000021886919,0.000097435965],"domain_scores_gemma":[0.9995953,0.000038650844,0.00017475398,0.00015872363,0.000004197854,0.000028413804],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001266759,0.00006733185,0.00017039683,0.00013634576,0.000025752814,0.000006030671,0.00014653003,0.00008628917,0.0019664718],"category_scores_gemma":[0.000010715715,0.000077803634,0.000044215823,0.000067298286,0.00007066881,0.0006251069,0.000057306428,0.00008640045,0.00022190863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008783003,0.00025357844,0.9048114,0.000048764952,0.00004038168,2.5161748e-7,0.034716133,0.0011740791,0.0011943333,0.057200707,0.00011061314,0.0003619649],"study_design_scores_gemma":[0.0029721833,0.00013989549,0.8803482,0.000032849333,0.000024674291,0.0000014061982,0.0055817654,0.046338648,0.0052971346,0.05581574,0.002940589,0.00050690415],"about_ca_topic_score_codex":0.0093498835,"about_ca_topic_score_gemma":0.0010018483,"teacher_disagreement_score":0.055792052,"about_ca_system_score_codex":0.000016625412,"about_ca_system_score_gemma":0.000011334927,"threshold_uncertainty_score":0.9989459},"labels":[],"label_agreement":null},{"id":"W2797651295","doi":"10.38140/as.v15i1.188","title":"An assessment of the feasible application of environmental valuation methods on Rand Water open-space","year":2008,"lang":"en","type":"article","venue":"Acta Structilia","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kruger (Canada)","funders":"","keywords":"Valuation (finance); Space (punctuation); Economic shortage; Water resources; Sustainable development; Business; Water scarcity; Environmental economics; Environmental resource management; Economics; Computer science; Political science; Accounting; Law; Ecology","score_opus":0.10752191808016304,"score_gpt":0.32366113986445255,"score_spread":0.21613922178428951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797651295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98940355,0.000026673011,0.005846878,0.00013426405,0.0001403177,0.00045178703,0.00005890334,0.0000041271232,0.0039334903],"genre_scores_gemma":[0.9893596,0.000057485788,0.010258386,0.00004068169,0.000019610558,0.00003373313,0.00003705663,0.000013810621,0.00017961563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906844,0.00006815742,0.0004288032,0.00027240024,0.00005201881,0.000110161054],"domain_scores_gemma":[0.99908715,0.000026948579,0.0003619338,0.00048990274,0.000004170209,0.000029877832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067220675,0.00009796827,0.00023762074,0.00005310988,0.00010866501,0.000010786613,0.000319421,0.00006152643,0.0004430603],"category_scores_gemma":[0.000008206857,0.00008055965,0.000063650536,0.00004747542,0.000105319465,0.00030116225,0.000088322275,0.00007258533,0.000025034977],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038625185,0.00030893896,0.8800897,0.00001360913,0.00005337623,6.166768e-8,0.0007363062,0.0015629629,0.0890265,0.022615949,0.000048032292,0.0055059134],"study_design_scores_gemma":[0.0006883272,0.00009933306,0.93877006,0.0000027516326,0.000008656469,0.0000020361574,0.00009001033,0.006872225,0.043976855,0.008790916,0.0006023907,0.0000964666],"about_ca_topic_score_codex":0.0001177429,"about_ca_topic_score_gemma":0.00000406369,"teacher_disagreement_score":0.05868031,"about_ca_system_score_codex":0.00014414002,"about_ca_system_score_gemma":0.000009189511,"threshold_uncertainty_score":0.48511997},"labels":[],"label_agreement":null},{"id":"W2799756193","doi":"10.1016/j.jenvman.2018.03.039","title":"Economic analysis of threatened species conservation: The case of woodland caribou and oilsands development in Alberta, Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Woodland caribou; Threatened species; Opportunity cost; Habitat; Population; Ecology; Geography; Environmental science; Biology; Economics","score_opus":0.028176709937734554,"score_gpt":0.18356997356683938,"score_spread":0.15539326362910483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799756193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969424,0.00030527756,0.00006337508,0.00029162396,0.00012096715,0.00009949127,0.00005058852,3.5782483e-7,0.002125893],"genre_scores_gemma":[0.9988768,0.00035235952,0.00027106816,0.00008796841,0.000024259012,0.0000022085187,0.000008682211,0.00000587645,0.0003707753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988263,0.000014560017,0.00087796233,0.00013796616,0.000038301227,0.00010488014],"domain_scores_gemma":[0.99904275,0.000046151265,0.00072567846,0.00014640855,0.0000027547842,0.0000362654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043670766,0.000096944284,0.0003538861,0.00021339915,0.000050315513,0.000010425657,0.00011198135,0.000025718833,0.0005430772],"category_scores_gemma":[0.000003937162,0.0000876253,0.000063540116,0.00008064989,0.00013903735,0.000111463334,0.00007779799,0.00004658459,0.0000045913575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000290983,0.00006320404,0.9924504,0.000015109416,0.0008321499,0.00002238115,0.0006038639,0.0016027667,0.000014194694,0.003461182,0.00012975071,0.00077591185],"study_design_scores_gemma":[0.00061661936,0.00006635528,0.99358684,0.000009676489,0.00012992116,0.000020325255,0.00095439196,0.0010799819,0.00021781234,0.00028723618,0.0029400294,0.00009080863],"about_ca_topic_score_codex":0.07414166,"about_ca_topic_score_gemma":0.30560857,"teacher_disagreement_score":0.23146693,"about_ca_system_score_codex":0.00044074806,"about_ca_system_score_gemma":0.00001697043,"threshold_uncertainty_score":0.9320237},"labels":[],"label_agreement":null},{"id":"W2800865825","doi":"10.1139/cjfas-2017-0306","title":"A spatial kernel density method to estimate the diet composition of fish","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Estimator; Monte Carlo method; Statistics; Spatial correlation; Kernel (algebra); Spatial analysis; Mathematics; Mean squared error; Ratio estimator; Correlation; Bias of an estimator","score_opus":0.06512900328070313,"score_gpt":0.2556078191495244,"score_spread":0.19047881586882126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800865825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778906,0.00008169421,0.015392679,0.0047871377,0.00022202675,0.000053053245,0.000011866214,7.02394e-7,0.0015602376],"genre_scores_gemma":[0.99294513,0.000008544055,0.00632218,0.0006162647,0.00006742431,7.3199107e-7,5.0603336e-7,0.0000023932373,0.000036810045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943924,0.000017463275,0.00030555835,0.00009318375,0.0000294895,0.00011508334],"domain_scores_gemma":[0.99950296,0.0000491692,0.00025331386,0.00005832365,0.000011891214,0.00012433832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009860751,0.00004896596,0.00015348192,0.000081912214,0.00023248258,0.000075197575,0.00014266474,0.00001993067,0.00017279983],"category_scores_gemma":[0.00006970206,0.000039562317,0.000031342177,0.00008929898,0.00039813347,0.00016910885,0.000012168731,0.000036654532,0.000010769471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015818012,0.000010401221,0.9757888,0.000007633162,0.000027072965,0.0000016562466,0.003526221,0.00012137104,0.000071680806,0.0077944994,0.002447739,0.010187147],"study_design_scores_gemma":[0.0001752522,0.0007179501,0.96644646,0.000028346347,0.000010849269,0.000023582694,0.0005962588,0.009775154,0.00035819763,0.017533967,0.0042303433,0.00010363201],"about_ca_topic_score_codex":0.009737071,"about_ca_topic_score_gemma":0.014698506,"teacher_disagreement_score":0.015054543,"about_ca_system_score_codex":0.0000392716,"about_ca_system_score_gemma":0.00006315447,"threshold_uncertainty_score":0.99685717},"labels":[],"label_agreement":null},{"id":"W2803907955","doi":"10.5539/jms.v8n2p1","title":"Influences on the Diffusion of Environmental Programmes in Small Businesses in the Greening of an Industry for Sustainability: The Case of Golf","year":2018,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Greening; Business; Government (linguistics); Empirical research; Environmental resource management; Environmental economics; Marketing; Economics; Political science; Ecology","score_opus":0.04714200533714064,"score_gpt":0.24673165277195017,"score_spread":0.19958964743480953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803907955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973603,0.00019832353,0.00010781763,0.0014564403,0.000027464812,0.0007480554,0.000008686091,6.4599544e-7,0.00009225131],"genre_scores_gemma":[0.9997224,0.00007228223,0.000083575076,0.00004633942,0.000023046638,0.000021338892,8.601918e-7,0.000004250172,0.000025873975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881005,0.00010294962,0.0007685979,0.00014209996,0.000041547653,0.00013473185],"domain_scores_gemma":[0.99879676,0.0002480416,0.0006640712,0.00023529367,0.00003952699,0.000016293156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038299963,0.00008906966,0.0002469512,0.0001358216,0.000073104624,0.000021093467,0.00022799503,0.000064493,0.000016354657],"category_scores_gemma":[0.00024087807,0.000053398577,0.00006818617,0.0001411731,0.00038554674,0.00020621897,0.000082046034,0.0001550836,7.644909e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017105843,0.00048074746,0.96198064,0.00025835077,0.000025839694,0.000008340415,0.003201219,0.00041778325,0.0000015907585,0.017205952,0.00000444013,0.016244046],"study_design_scores_gemma":[0.0005734848,0.0005159569,0.86465794,0.000019778694,0.000016185493,0.000007470422,0.059990197,0.0008550583,0.000027278418,0.07311739,0.00016462625,0.0000546472],"about_ca_topic_score_codex":0.00046433395,"about_ca_topic_score_gemma":0.00022476706,"teacher_disagreement_score":0.09732271,"about_ca_system_score_codex":0.00019592489,"about_ca_system_score_gemma":0.000022246557,"threshold_uncertainty_score":0.21775307},"labels":[],"label_agreement":null},{"id":"W2805784521","doi":"10.5539/jsd.v11n3p135","title":"Valuing Environmental Public Goods: Deliberative Citizen Juries as a Non-Rational Persuasion Method","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Thompson Rivers University","funders":"","keywords":"Deliberation; Preference; Persuasion; Jury; Matching (statistics); Sample (material); Population; Control (management); Public good; Social psychology; Psychology; Economics; Microeconomics; Political science; Demography; Statistics; Law; Mathematics; Sociology; Politics","score_opus":0.04980248889232976,"score_gpt":0.24053620199286538,"score_spread":0.1907337131005356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805784521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.952198,0.00043871772,0.035604414,0.00087492104,0.00026281193,0.00022094553,0.0000060811713,0.0000075992357,0.010386459],"genre_scores_gemma":[0.9580747,0.0001125767,0.036314767,0.00036236184,0.0002421318,0.000016922686,0.000016193386,0.00002322613,0.0048371446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982387,0.000034508863,0.0009811979,0.0002586066,0.00012414207,0.0003628688],"domain_scores_gemma":[0.99885094,0.000049003516,0.00077762833,0.000120214376,0.000060093535,0.0001421222],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018068444,0.00017694938,0.00034505775,0.00034776327,0.00038642983,0.00013664711,0.00020318668,0.000089970796,0.0017850284],"category_scores_gemma":[0.00008351675,0.0001886602,0.00010682909,0.0001192668,0.00010009663,0.0009541185,0.00010255075,0.00016317777,0.00047594678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055053976,0.0017013322,0.4893438,0.0001950371,0.0019762146,0.00028956073,0.10792128,0.0011486446,0.0025556274,0.35350892,0.013934802,0.026874239],"study_design_scores_gemma":[0.003379137,0.0010090857,0.6415501,0.000058158348,0.000036739766,0.00022199914,0.04935485,0.002095471,0.006587916,0.052963387,0.24178782,0.00095530064],"about_ca_topic_score_codex":0.000014012101,"about_ca_topic_score_gemma":0.0000017376367,"teacher_disagreement_score":0.30054554,"about_ca_system_score_codex":0.0014233842,"about_ca_system_score_gemma":0.00024831766,"threshold_uncertainty_score":0.99912745},"labels":[],"label_agreement":null},{"id":"W2807746098","doi":"10.7202/1047156ar","title":"Estimation de la valeur non marchande des services rendus par les écosystèmes du parc marin du Saguenay–Saint-Laurent","year":2018,"lang":"fr","type":"article","venue":"Le Naturaliste canadien","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Mathematics; Art","score_opus":0.027397111224084898,"score_gpt":0.2060117520988515,"score_spread":0.1786146408747666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807746098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820583,0.0064505152,0.0006098995,0.0037018645,0.0015038913,0.0002866994,0.00032859537,0.000029388773,0.005030846],"genre_scores_gemma":[0.9894866,0.0021754606,0.0016451266,0.0004827447,0.00062372367,0.000038415805,0.00028457475,0.000050252755,0.005213097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979996,0.00013725877,0.00061850157,0.00056125945,0.000058647478,0.00062472257],"domain_scores_gemma":[0.998819,0.00012456025,0.00043948856,0.00034900615,0.000035141667,0.00023282017],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008589401,0.00030036623,0.00040151444,0.00018211821,0.00054885336,0.00018714147,0.00035511935,0.00037228945,0.00072397065],"category_scores_gemma":[0.00009305857,0.00038711278,0.00013850008,0.00015194739,0.0005461011,0.00055186066,0.00013983142,0.00029167603,0.0003497217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033141027,0.000075832664,0.93709135,0.00027793698,0.00012153772,0.000022934593,0.0027188945,0.0012719542,0.000036380065,0.014523888,0.0036159463,0.040210206],"study_design_scores_gemma":[0.0008094186,0.00013932813,0.83167446,0.00017256752,0.000045243,0.00007764027,0.0004559241,0.11035578,0.00024813775,0.010268835,0.045289334,0.0004633455],"about_ca_topic_score_codex":0.40625745,"about_ca_topic_score_gemma":0.29389793,"teacher_disagreement_score":0.11235951,"about_ca_system_score_codex":0.0025116242,"about_ca_system_score_gemma":0.00006011595,"threshold_uncertainty_score":0.9998581},"labels":[],"label_agreement":null},{"id":"W2808149277","doi":"10.22004/ag.econ.273477","title":"Assessing farmers’ preferences for the future of the Common Agricultural Policy: insights from of a discrete choice experiment in Germany","year":2018,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Direct Payments; Common Agricultural Policy; Payment; Discrete choice; Public economics; Intervention (counseling); Agricultural policy; Mixed logit; German; Quarter (Canadian coin); Welfare; Economics; Agriculture; Latent class model; Preference; Actuarial science; Business; Agricultural economics; European union; Logistic regression; Econometrics; Economic policy; Geography; Microeconomics; Statistics; Finance","score_opus":0.10681356396392336,"score_gpt":0.2695473742319264,"score_spread":0.16273381026800302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808149277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99479026,0.0013327262,0.00018725604,0.0009807249,0.00025992523,0.00057700166,0.00043735278,0.0000028921947,0.001431879],"genre_scores_gemma":[0.99851346,0.0006692861,0.00037061528,0.000021093794,0.00012418431,0.0000042193387,0.00006541344,0.00000865438,0.00022306862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989085,0.00007593245,0.0003998526,0.00035979837,0.00007981711,0.00017609978],"domain_scores_gemma":[0.9984901,0.00021224051,0.0007888973,0.00043809012,0.00003239688,0.00003827419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031976795,0.00016304951,0.0004967817,0.00014938774,0.00014492238,0.00002697087,0.0007665974,0.0001935962,0.00021482172],"category_scores_gemma":[0.000014726242,0.0001340375,0.0002353938,0.00012432957,0.00039367692,0.00029630517,0.00063417444,0.00024352275,0.000011638248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017686374,0.00054240384,0.89531076,0.00064423925,0.0010680747,0.0000015023031,0.06601259,0.0030766262,0.003795848,0.018739518,0.001119474,0.009512086],"study_design_scores_gemma":[0.0005410285,0.0000514682,0.98045003,0.000092463,0.00002445688,1.6395448e-7,0.012858491,0.0014670469,0.00065552496,0.0027473683,0.00096069014,0.00015126416],"about_ca_topic_score_codex":0.014902958,"about_ca_topic_score_gemma":0.003639869,"teacher_disagreement_score":0.08513926,"about_ca_system_score_codex":0.0002150525,"about_ca_system_score_gemma":0.000059173282,"threshold_uncertainty_score":0.9916569},"labels":[],"label_agreement":null},{"id":"W2810467399","doi":"10.1007/s10603-018-9380-5","title":"Do Consumers Understand PCP Car Finance? An Experimental Investigation","year":2018,"lang":"en","type":"article","venue":"Journal of Consumer Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Comprehension; Scope (computer science); Product (mathematics); Consistency (knowledge bases); Sample (material); Advice (programming); Marketing; Business; Quarter (Canadian coin); Commercial law; Psychological intervention; Psychology; Actuarial science; Computer science","score_opus":0.13971728339659104,"score_gpt":0.2829186000627022,"score_spread":0.14320131666611116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810467399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910164,0.0021631608,0.0003527181,0.0004923313,0.0004220486,0.0000859901,0.00002863167,0.0000071017175,0.0054316],"genre_scores_gemma":[0.99755806,0.00038758008,0.0008664203,0.0005563093,0.0003861203,0.0000020652353,0.000004390696,0.000019947154,0.00021912875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988159,0.000029544,0.00071313576,0.00018526005,0.000051554154,0.00020463043],"domain_scores_gemma":[0.9988622,0.000025363806,0.00074626046,0.00019494005,0.00003217647,0.00013907872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049218256,0.00013183075,0.0002986323,0.00029792186,0.000117048345,0.00006626407,0.00017033522,0.00008589357,0.0005219601],"category_scores_gemma":[0.000055547076,0.00014774849,0.00009558256,0.000118601674,0.00036236254,0.00064436527,0.000026579703,0.00012145528,0.0004202381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016199732,0.00033420898,0.69192934,0.000022211685,0.00031731618,0.00001137492,0.011990524,0.00013392816,0.005100051,0.2774641,0.00812536,0.0044095824],"study_design_scores_gemma":[0.010273412,0.0030233413,0.608554,0.0001442196,0.00008831589,0.00042286617,0.0079018,0.0019543713,0.038142454,0.1908717,0.13684392,0.0017796126],"about_ca_topic_score_codex":0.0001995428,"about_ca_topic_score_gemma":0.000014697604,"teacher_disagreement_score":0.12871855,"about_ca_system_score_codex":0.00039253422,"about_ca_system_score_gemma":0.000095891846,"threshold_uncertainty_score":0.60250086},"labels":[],"label_agreement":null},{"id":"W2818442588","doi":"10.5539/sar.v7n3p93","title":"Stakeholders’ Perception and Preferences of Post-harvest Quality Traits of Tomato in Ghana","year":2018,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kwame Nkrumah University of Science and Technology","keywords":"Ranking (information retrieval); Population; Focus group; Descriptive statistics; Agricultural science; Consumption (sociology); Production (economics); Quality (philosophy); Geography; Biotechnology; Business; Marketing; Biology; Statistics; Mathematics; Economics; Demography","score_opus":0.23269690766835915,"score_gpt":0.3188670447826233,"score_spread":0.08617013711426413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2818442588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877153,0.00044165304,0.000026066316,0.00024040634,0.000015002615,0.00033479856,0.00004003019,0.0000046315777,0.011182125],"genre_scores_gemma":[0.9975946,0.00011098372,0.00015361486,0.000008931572,0.000034293087,0.000020565505,0.000019497667,0.000005561584,0.0020519611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987364,0.00011152068,0.00047941742,0.00028300632,0.00008160058,0.00030808264],"domain_scores_gemma":[0.9994213,0.000078851146,0.00016555827,0.00012535586,0.00015514997,0.000053793265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002449398,0.00008265198,0.0002639213,0.00022939524,0.000092956914,0.000027299306,0.00013935957,0.0001072878,0.0003300538],"category_scores_gemma":[0.00022521676,0.000073203235,0.000035298952,0.0003349776,0.00026797666,0.0003418462,0.00008795432,0.00016528144,0.00003170964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013566835,0.0005626806,0.72652084,0.0010886554,0.00006269458,0.000003138839,0.02311804,0.000040878713,0.0081837615,0.23499316,0.0012261837,0.004064322],"study_design_scores_gemma":[0.0003203627,0.00026002573,0.9265952,0.00001749634,0.0000013067693,7.5987646e-7,0.06447303,0.00003658367,0.0007110778,0.007231923,0.0002638813,0.00008833499],"about_ca_topic_score_codex":0.004516337,"about_ca_topic_score_gemma":0.0006428332,"teacher_disagreement_score":0.22776124,"about_ca_system_score_codex":0.00018322964,"about_ca_system_score_gemma":0.000028938453,"threshold_uncertainty_score":0.68273807},"labels":[],"label_agreement":null},{"id":"W282903840","doi":"","title":"THE INSURANCE VALUE OF FREEWAY SERVICE PATROLS : A STATED PREFERENCE ANALYSIS","year":2003,"lang":"en","type":"article","venue":"Transportation Research Board 82nd Annual MeetingTransportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Preference; Service (business); Actuarial science; Statistics; Revealed preference; Business; Transport engineering; Mathematics; Engineering; Econometrics; Marketing","score_opus":0.15660420323587587,"score_gpt":0.32104437506215666,"score_spread":0.1644401718262808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W282903840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98859525,0.0008629789,0.0020054402,0.0011222409,0.00012869695,0.0012008646,0.0014938948,0.000057931775,0.0045326976],"genre_scores_gemma":[0.995447,0.0013420151,0.0011474665,0.0000634802,0.00003799106,0.00038806998,0.00035331177,0.000057808833,0.0011628948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99381274,0.00084594684,0.0020317428,0.0010445085,0.0010315423,0.0012335416],"domain_scores_gemma":[0.99576974,0.001275632,0.0005995822,0.00082644867,0.0011819405,0.00034664082],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010720119,0.00032346157,0.0007080547,0.0011034396,0.0010052422,0.0001560177,0.00078690314,0.0002507472,0.00064864696],"category_scores_gemma":[0.0005116657,0.00031668055,0.00033072388,0.0040017036,0.0006975475,0.0007039447,0.00001384165,0.0010222195,0.00030993661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023275756,0.00024237801,0.83684397,0.00015579292,0.0004914007,0.0000069037583,0.005596706,0.0107757365,0.00047969265,0.1443201,0.00042900312,0.00042555048],"study_design_scores_gemma":[0.0010709983,0.0002481575,0.966859,0.000048583577,0.000046702848,1.0693869e-7,0.00450294,0.0009034033,0.0012227737,0.014789754,0.0099801505,0.00032745424],"about_ca_topic_score_codex":0.012421517,"about_ca_topic_score_gemma":0.015902983,"teacher_disagreement_score":0.130015,"about_ca_system_score_codex":0.00024114952,"about_ca_system_score_gemma":0.00020971426,"threshold_uncertainty_score":0.99992853},"labels":[],"label_agreement":null},{"id":"W2883393252","doi":"10.1186/s40066-018-0203-3","title":"Consumer demand heterogeneity and valuation of value-added pulse products: a case of precooked beans in Uganda","year":2018,"lang":"en","type":"article","venue":"Agriculture & Food Security","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; International Development Research Centre","keywords":"Willingness to pay; Valuation (finance); Product (mathematics); Agricultural economics; Consumption (sociology); Economics; Business; Homogeneous; Preference; Latent class model; Agricultural science; Microeconomics; Environmental science; Mathematics","score_opus":0.05045898715007147,"score_gpt":0.22079179825468145,"score_spread":0.17033281110461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883393252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965001,0.0018087775,0.00006193212,0.00007683877,0.00010281439,0.0004371169,0.00019357452,0.0000075919147,0.00081125426],"genre_scores_gemma":[0.99940515,0.00017655283,0.00025249564,0.000031027197,0.0000533813,0.000019181618,0.000041603234,0.000007644628,0.000012962057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987986,0.000047341386,0.0006038095,0.000362854,0.000034132823,0.0001532361],"domain_scores_gemma":[0.99928474,0.000029203518,0.0003983178,0.00019753256,0.000043733995,0.00004646384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006372212,0.00013697025,0.0003538343,0.000077392426,0.000053183972,0.000011816459,0.00007281405,0.00012289538,0.00005696489],"category_scores_gemma":[0.00008998871,0.00012848213,0.000052474752,0.00015458936,0.00014106337,0.00021879391,0.000049021717,0.000087302295,0.000015420426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012350123,0.000837417,0.95273525,0.00031898764,0.00027360162,0.0000071942773,0.013785615,0.00011489785,0.0040395116,0.026391272,0.00036990448,0.0010028804],"study_design_scores_gemma":[0.0022344806,0.0009409796,0.92798054,0.000049661096,0.000061326165,0.00010435397,0.0006719187,0.0011393584,0.04261869,0.023309704,0.00047852105,0.0004104831],"about_ca_topic_score_codex":0.0005179149,"about_ca_topic_score_gemma":0.0017302863,"teacher_disagreement_score":0.038579177,"about_ca_system_score_codex":0.00006479005,"about_ca_system_score_gemma":0.000009978974,"threshold_uncertainty_score":0.52393496},"labels":[],"label_agreement":null},{"id":"W2883552881","doi":"10.1111/cjag.12182","title":"Strategic response: A key to understand how cheap talk works","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Cheap talk; Key (lock); Perception; Interpretation (philosophy); Strategic communication; Psychology; Social psychology; Marketing; Business; Economics; Public relations; Microeconomics; Political science; Computer science; Computer security","score_opus":0.10692868237515661,"score_gpt":0.1760603469719943,"score_spread":0.06913166459683769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883552881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774112,0.0005753738,0.00010654216,0.013155021,0.0021433148,0.0003408472,0.00032075727,0.000011752512,0.0059351735],"genre_scores_gemma":[0.9940123,0.000070296424,0.0006491998,0.0009981351,0.0012525896,0.000009944073,0.0000328782,0.00005007969,0.002924575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9969458,0.000045626715,0.0012975738,0.0006393109,0.000011055518,0.0010606545],"domain_scores_gemma":[0.9960939,0.000093481445,0.0010845046,0.00041362474,0.000103694794,0.002210795],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012083334,0.0004251837,0.0008815747,0.00068052387,0.00036704392,0.00053818105,0.00073364744,0.0002636866,0.0017863981],"category_scores_gemma":[0.00013875554,0.0004580704,0.00033551932,0.00022790821,0.00025735213,0.0011181132,0.000042032443,0.00034764293,0.00087810005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019637726,0.00023092606,0.0967248,0.00016225911,0.0026064906,0.00038256915,0.039726727,0.022786614,0.0010391724,0.7637412,0.0656456,0.004989848],"study_design_scores_gemma":[0.004466629,0.0042533204,0.72826076,0.0003166847,0.00012307178,0.0015923006,0.033691037,0.00077293767,0.0004625894,0.06964329,0.15311831,0.003299094],"about_ca_topic_score_codex":0.009885157,"about_ca_topic_score_gemma":0.44700527,"teacher_disagreement_score":0.69409794,"about_ca_system_score_codex":0.0049286475,"about_ca_system_score_gemma":0.00044465897,"threshold_uncertainty_score":0.9998998},"labels":[],"label_agreement":null},{"id":"W2883559385","doi":"10.1111/cjag.12183","title":"Consumer preference for infant milk‐based formula with select food safety information attributes: Evidence from a choice experiment in China","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Latent class model; Traceability; Business; Certification; Food safety; Quality (philosophy); China; Product (mathematics); Marketing; Preference; Price premium; Consumption (sociology); Country of origin; Agricultural economics; Conjoint analysis; Agricultural science; Economics; Geography; Food science; Microeconomics","score_opus":0.08856398587699825,"score_gpt":0.18344812996767548,"score_spread":0.09488414409067723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883559385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937618,0.0007794859,0.0007849959,0.0013996401,0.00066649116,0.000731231,0.0014017299,0.000007776516,0.00046688542],"genre_scores_gemma":[0.997151,0.00010012528,0.0015799775,0.00039951646,0.00037181829,0.00007814307,0.00023428843,0.000024655019,0.000060456343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970608,0.000024579907,0.0016869352,0.00044791968,0.000012187175,0.00076757313],"domain_scores_gemma":[0.99715424,0.00021255891,0.0014397149,0.00030618598,0.00011583983,0.0007714596],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062798325,0.00036862912,0.00079954974,0.000458603,0.00023675185,0.00020378274,0.00052220334,0.00018408464,0.0005159389],"category_scores_gemma":[0.00021088797,0.00035580233,0.00020067015,0.00015238766,0.00015928014,0.00228041,0.000022624647,0.00024065698,0.0001080111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006888816,0.00010007966,0.933231,0.00012898393,0.0007434121,0.000006591765,0.010616947,0.030618265,0.00008319843,0.017895719,0.0031229507,0.0027639787],"study_design_scores_gemma":[0.00328485,0.0017920119,0.9663645,0.0002696531,0.00004329787,0.000042878582,0.00075152295,0.0032762447,0.0006435964,0.001993964,0.02074461,0.0007928538],"about_ca_topic_score_codex":0.05837563,"about_ca_topic_score_gemma":0.7083036,"teacher_disagreement_score":0.6499279,"about_ca_system_score_codex":0.003928818,"about_ca_system_score_gemma":0.00054219586,"threshold_uncertainty_score":0.9998949},"labels":[],"label_agreement":null},{"id":"W2884312308","doi":"10.1142/s2382624x18500200","title":"Reliability of Drinking Water: Risk Perceptions and Economic Value","year":2018,"lang":"en","type":"article","venue":"Water Economics and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; Brock University; University of Saskatchewan; University of Alberta","funders":"","keywords":"Willingness to pay; Endogeneity; Risk perception; Contingent valuation; Investment (military); Actuarial science; Reliability (semiconductor); Economics; Business; Econometrics; Perception; Psychology","score_opus":0.028908922251097292,"score_gpt":0.21988215282147566,"score_spread":0.19097323057037838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884312308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917534,0.000071643044,0.00015824173,0.00067980407,0.00019176111,0.000143213,0.00015482992,0.000013194276,0.0068339],"genre_scores_gemma":[0.9961018,0.0025039958,0.00041022676,0.00016997753,0.00035932587,0.000011396197,0.00003125653,0.00002476263,0.00038727903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859005,0.00001931646,0.000634248,0.00044715154,0.000007775741,0.0003014564],"domain_scores_gemma":[0.9993899,0.00002037975,0.00016857704,0.0003115095,0.0000063645534,0.00010329223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062305003,0.00016523198,0.00035613877,0.00018336349,0.00019721189,0.00006227377,0.000112867245,0.00010764804,0.0005035708],"category_scores_gemma":[0.000009737531,0.00014874547,0.00007419879,0.00001394083,0.00033696255,0.00030858684,0.00017622291,0.00008208866,0.000748989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029578458,0.000051591374,0.8142277,0.000029410245,0.000079936646,1.3338868e-7,0.0057813367,0.0009707733,0.0003922298,0.17600562,0.00007654847,0.0023551318],"study_design_scores_gemma":[0.0012413985,0.00032252193,0.6554719,0.000009894306,0.00003063604,0.000015014872,0.00021457058,0.022727327,0.0042005186,0.2783258,0.03682367,0.00061670475],"about_ca_topic_score_codex":0.0032767968,"about_ca_topic_score_gemma":0.00016005029,"teacher_disagreement_score":0.15875578,"about_ca_system_score_codex":0.00017233886,"about_ca_system_score_gemma":0.0000105427425,"threshold_uncertainty_score":0.9626988},"labels":[],"label_agreement":null},{"id":"W2884657733","doi":"10.1142/s2382624x18500212","title":"Floods and Water Service Disruptions: Eliciting Willingness-to-Pay for Public Utility Pricing and Infrastructure Decisions","year":2018,"lang":"en","type":"article","venue":"Water Economics and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; University of Alberta; Brock University","funders":"University of Alberta","keywords":"Willingness to pay; Business; Water infrastructure; Flood myth; Ecosystem services; Service provider; Preference; Water industry; Service (business); Public economics; Environmental resource management; Environmental planning; Natural resource economics; Environmental economics; Economics; Water resources; Water supply; Marketing; Geography","score_opus":0.07528736185907443,"score_gpt":0.2573402909100394,"score_spread":0.18205292905096498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884657733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98865795,0.00008915396,0.0027615349,0.0071288384,0.0001560714,0.00031588587,0.00019155219,0.000015729483,0.0006832956],"genre_scores_gemma":[0.9948985,0.0005693144,0.001704858,0.0020924618,0.00045412368,0.000040494735,0.00006728023,0.000029654253,0.00014330844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985671,0.000009325251,0.0005065271,0.00050413597,0.0000104120245,0.0004025032],"domain_scores_gemma":[0.99943304,0.00004589897,0.00009194084,0.00021763818,0.000019498739,0.00019200222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049667293,0.00018668419,0.0003061817,0.0001844999,0.00040380226,0.00024883178,0.00010120739,0.00011313087,0.0000941858],"category_scores_gemma":[0.00003981364,0.0001471026,0.00003725897,0.000043876913,0.00008906302,0.00039584443,0.00022916682,0.00007551607,0.00009337586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095922296,0.00007955904,0.73962545,0.00014995228,0.00020856933,4.0001177e-7,0.017837323,0.00035103306,0.0008099217,0.14881481,0.00025988685,0.09176716],"study_design_scores_gemma":[0.0017212908,0.00023906166,0.47645473,0.000028171082,0.000026889844,0.000030364285,0.00048348156,0.05693166,0.0011687708,0.27262878,0.18946318,0.0008236063],"about_ca_topic_score_codex":0.00034836837,"about_ca_topic_score_gemma":0.00016440738,"teacher_disagreement_score":0.26317075,"about_ca_system_score_codex":0.00007698559,"about_ca_system_score_gemma":0.000010515944,"threshold_uncertainty_score":0.59986705},"labels":[],"label_agreement":null},{"id":"W2885118438","doi":"10.1007/s10683-018-9586-z","title":"Why choice lists increase risk taking","year":2018,"lang":"en","type":"article","venue":"Experimental Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Canadian Institute for Advanced Research","keywords":"Lottery; Interim; Incentive; Preference; Economics; Certainty; Choice set; Microeconomics; Actuarial science; Econometrics; Mathematics","score_opus":0.07377816147763598,"score_gpt":0.24586947145513724,"score_spread":0.17209130997750127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885118438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93028694,0.00087114546,0.00039934524,0.00015933492,0.0008785516,0.0001964672,0.00012700049,0.00005748771,0.06702372],"genre_scores_gemma":[0.99485767,0.00015111813,0.0013958274,0.002142133,0.000733374,0.000043362335,0.000047262365,0.00005393296,0.00057533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983474,0.000020373336,0.0006535625,0.00060928694,0.00001761072,0.0003517639],"domain_scores_gemma":[0.9984242,0.000043817196,0.00093320693,0.0004354963,0.000006488411,0.00015683315],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00036776194,0.00023304106,0.0003383869,0.00012787642,0.00027556575,0.00011031503,0.00027641217,0.00011711238,0.005916748],"category_scores_gemma":[0.00007839048,0.00031747652,0.00013650648,0.000060029288,0.00020692166,0.00056973175,0.00015845292,0.00012765397,0.005628368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006821689,0.00045345043,0.8889462,0.000009255612,0.0001751278,0.0000018831698,0.0019004,0.00031892658,0.00058420614,0.095191054,0.010620813,0.0017304947],"study_design_scores_gemma":[0.0039013773,0.00068651617,0.49953178,0.000022032778,0.000024449946,0.00002353548,0.0009821166,0.02217734,0.027695108,0.016654521,0.42645577,0.0018454428],"about_ca_topic_score_codex":0.0022566388,"about_ca_topic_score_gemma":0.00015236385,"teacher_disagreement_score":0.41583496,"about_ca_system_score_codex":0.00056209695,"about_ca_system_score_gemma":0.000011431443,"threshold_uncertainty_score":0.99992776},"labels":[],"label_agreement":null},{"id":"W2885607651","doi":"10.1177/0958305x18790954","title":"Measuring willingness to pay for electricity: The case of New Brunswick in Atlantic Canada","year":2018,"lang":"en","type":"article","venue":"Energy & Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"Mitacs","keywords":"Willingness to pay; Electricity; Electricity market; Business; Electricity retailing; Competition (biology); Willingness to accept; Empirical research; Mains electricity; Electricity generation; Environmental economics; Economics; Marketing; Public economics; Microeconomics; Power (physics); Engineering","score_opus":0.055361171784665576,"score_gpt":0.18526903941858597,"score_spread":0.1299078676339204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885607651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982178,0.00026459256,0.016096013,0.00058521284,0.00015724426,0.00017265542,0.000012727696,0.0000029869443,0.0005305768],"genre_scores_gemma":[0.9981207,0.00010112132,0.00046705076,0.000387744,0.0001293522,0.000015474663,0.0000067260394,0.000014750335,0.0007570493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905413,0.000010991025,0.00040786425,0.00027472773,0.000028123497,0.00022414015],"domain_scores_gemma":[0.99948573,0.000042612042,0.00015457775,0.00024616966,0.000001905231,0.0000689923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003019814,0.00010692066,0.0002026429,0.000048578127,0.00007331524,0.000008893763,0.00013089339,0.000037863843,0.0002529105],"category_scores_gemma":[0.000016997825,0.000094896626,0.000042847696,0.00006520204,0.000027743226,0.000047500576,0.000035155645,0.000043715394,0.000034221783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006313126,0.00012520203,0.87508774,0.000020648997,0.00010367369,0.000024102987,0.00092387974,0.037888158,0.00020478174,0.05367193,0.0013549417,0.030531786],"study_design_scores_gemma":[0.0011377487,0.0002648676,0.8506499,0.000018583989,0.000018838671,0.000029901297,0.00021256367,0.01275787,0.0051776036,0.0066288845,0.12263031,0.00047295535],"about_ca_topic_score_codex":0.70947,"about_ca_topic_score_gemma":0.6766501,"teacher_disagreement_score":0.12127537,"about_ca_system_score_codex":0.0003904454,"about_ca_system_score_gemma":0.00006360441,"threshold_uncertainty_score":0.3869772},"labels":[],"label_agreement":null},{"id":"W2886386925","doi":"10.7203/metode.9.10633","title":"Repensando la conservación: Hacia un cambio de paradigma","year":2018,"lang":"es","type":"article","venue":"Mètode Revista de difusió de la investigació","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidade da Coruña; Xunta de Galicia; Universitat de Barcelona; Acadia University","keywords":"Political science","score_opus":0.0464425903986526,"score_gpt":0.2394018005530752,"score_spread":0.19295921015442258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886386925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9449375,0.005502948,0.0027617496,0.0010889298,0.00021792752,0.000418401,0.00023202223,0.00009224511,0.044748235],"genre_scores_gemma":[0.98325944,0.0047428687,0.005156076,0.0046864212,0.0005377111,0.00008272531,0.00007768015,0.00012894023,0.001328142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960797,0.0005262351,0.001263442,0.000995477,0.000090085494,0.0010450857],"domain_scores_gemma":[0.9970881,0.00046355271,0.0008238183,0.0009850272,0.00003032257,0.00060922815],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0035856734,0.0005639722,0.0009495002,0.00023843576,0.0004230729,0.00090235175,0.0005947105,0.00072011136,0.0011760949],"category_scores_gemma":[0.00069668336,0.00073849567,0.00034245427,0.00028659054,0.0014756441,0.00033810546,0.00021689165,0.00058933976,0.002073085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003968842,0.00014343625,0.8067295,0.00018843196,0.00016952696,0.00005037815,0.0008315566,0.000109296045,0.00037958406,0.18544318,0.004723764,0.0011916483],"study_design_scores_gemma":[0.0014623745,0.00016406011,0.70405555,0.00025389154,0.00013420677,0.00018992633,0.000093131646,0.009772562,0.0009985672,0.02459368,0.2573705,0.00091153424],"about_ca_topic_score_codex":0.0008102368,"about_ca_topic_score_gemma":0.0000237072,"teacher_disagreement_score":0.25264674,"about_ca_system_score_codex":0.0010682377,"about_ca_system_score_gemma":0.0002825358,"threshold_uncertainty_score":0.99973696},"labels":[],"label_agreement":null},{"id":"W2886662084","doi":"10.1016/j.scitotenv.2018.07.410","title":"Modelling farmer choices for water security measures in the Litani river basin in Lebanon","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"European Commission; European Regional Development Fund; Ministerio de Ciencia, Innovación y Universidades","keywords":"Cropping; Water conservation; Willingness to pay; Business; Water resources; Water use; Irrigation; Water security; Water supply; Farm water; Irrigation management; Water resource management; Agricultural economics; Agriculture; Economics; Environmental science; Geography; Environmental engineering","score_opus":0.07210293389957873,"score_gpt":0.21151972706996655,"score_spread":0.13941679317038783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886662084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954598,0.00013081348,0.00047341792,0.0012155421,0.00014046067,0.00040476193,0.000014450992,0.000001755466,0.0021590164],"genre_scores_gemma":[0.99935746,0.000055145047,0.00016925953,0.00007978992,0.000042520398,0.000029616822,8.5231045e-7,0.0000062326717,0.00025914618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990184,0.00003274394,0.00032847445,0.00026754063,0.00009531813,0.00025754338],"domain_scores_gemma":[0.9994307,0.000039158524,0.0001248435,0.00038540736,0.0000024511176,0.000017440725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027982516,0.00009197498,0.00013658871,0.000060343078,0.00020324507,0.000027564336,0.0006021847,0.00003125726,0.00012324346],"category_scores_gemma":[0.000017283945,0.000049666076,0.0000681724,0.00009281475,0.0009753063,0.00022772043,0.00014670711,0.00008598776,0.0001324604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007011842,0.00041669185,0.021007827,0.00002020569,0.000025598636,2.1787712e-7,0.03481423,0.90560704,0.005790053,0.03135297,0.00008265635,0.00081238354],"study_design_scores_gemma":[0.0012241178,0.00024098382,0.32470566,0.000034115164,0.000018959496,0.000003966692,0.0017621847,0.48922604,0.032336958,0.1476127,0.0023973966,0.0004368842],"about_ca_topic_score_codex":0.0005359354,"about_ca_topic_score_gemma":0.000014075501,"teacher_disagreement_score":0.416381,"about_ca_system_score_codex":0.00020320356,"about_ca_system_score_gemma":0.000007418148,"threshold_uncertainty_score":0.35935566},"labels":[],"label_agreement":null},{"id":"W2886922639","doi":"10.1016/j.jeem.2018.07.003","title":"Can stated measures of willingness-to-accept be valid? Evidence from laboratory experiments","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Alberta; University of Saskatchewan","funders":"University of Alberta; National Science Foundation","keywords":"Willingness to accept; Framing (construction); Willingness to pay; Incentive compatibility; Framing effect; Incentive; Public good; Economics; Voting; Contingent valuation; Microeconomics; Experimental economics; Private good; Public economics; Prospect theory; Empirical research; Social psychology; Psychology; Political science","score_opus":0.10870558063273289,"score_gpt":0.23785055878409445,"score_spread":0.12914497815136156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886922639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960382,0.0013319185,0.000632766,0.00044996588,0.00039619344,0.00020842304,0.00027836757,0.0000032368655,0.00066094357],"genre_scores_gemma":[0.9854669,0.010960108,0.0027989412,0.0004956248,0.00011450122,0.000008133144,0.000008246903,0.00002431491,0.00012323605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984959,0.00001530233,0.00094711763,0.00030643409,0.000051683637,0.00018361043],"domain_scores_gemma":[0.99875546,0.000025912363,0.00082370813,0.00023765734,0.0000070921797,0.0001501565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053746963,0.00017214453,0.00040762866,0.0001503324,0.00007254849,0.00003918835,0.00023108737,0.000054299777,0.0006023441],"category_scores_gemma":[0.0000103477305,0.00019972029,0.00008660654,0.000043722408,0.00014749497,0.00034628643,0.00016935746,0.00006723371,0.0000622028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069478975,0.0012644005,0.9187218,0.00011722904,0.0025037555,0.000024113162,0.0105059305,0.005924091,0.014768262,0.018271118,0.0034669903,0.023737554],"study_design_scores_gemma":[0.0022875196,0.0010295049,0.92864627,0.00012667896,0.000105980005,0.0000048288366,0.002255691,0.0008813275,0.013883598,0.0067490144,0.04336709,0.0006624687],"about_ca_topic_score_codex":0.00008779304,"about_ca_topic_score_gemma":0.000018258552,"teacher_disagreement_score":0.0399001,"about_ca_system_score_codex":0.00032240569,"about_ca_system_score_gemma":0.000008178258,"threshold_uncertainty_score":0.8144357},"labels":[],"label_agreement":null},{"id":"W2888435947","doi":"10.1016/j.forpol.2018.08.004","title":"A spatial hedonic stumpage analysis of standing timber auctions in Jiangxi Province of China","year":2018,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Fundamental Research Funds for the Central Universities; Ministry of Education of the People's Republic of China","keywords":"Stumpage; Context (archaeology); Economics; China; Common value auction; Hedonic pricing; Econometrics; Geography; Natural resource economics; Agricultural economics; Microeconomics","score_opus":0.04641016141318832,"score_gpt":0.23488306701168757,"score_spread":0.18847290559849925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888435947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891586,0.00009746417,0.0012239862,0.00012214931,0.000075819094,0.00012983262,0.0002913524,0.00000485178,0.008895946],"genre_scores_gemma":[0.99893266,0.00033117153,0.0002545582,0.000033573408,0.00010357707,0.000007729639,0.00003091951,0.0000119645165,0.00029385273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988777,0.000008868346,0.0006630082,0.00025379352,0.000011302276,0.00018532279],"domain_scores_gemma":[0.9992863,0.000027956181,0.00041873677,0.00021379025,0.000005070184,0.000048162332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032868996,0.000105828745,0.00043740054,0.0006424604,0.00005077588,0.000015476637,0.00009911869,0.000075067255,0.00024457293],"category_scores_gemma":[0.000036309946,0.0001327902,0.000101871796,0.00022081516,0.00019506867,0.0002202114,0.000065016335,0.000056948327,0.000033860033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020746053,0.0000723,0.84212226,0.000017018483,0.00017326497,1.4179678e-7,0.00061087945,0.008204911,0.000004745651,0.14840814,0.000018733808,0.00034684382],"study_design_scores_gemma":[0.00043687611,0.0001294069,0.92027193,0.0000075127937,0.00004070247,7.7737724e-7,0.000060526076,0.062158816,0.000051968294,0.016025633,0.00068276044,0.0001330963],"about_ca_topic_score_codex":0.0058834995,"about_ca_topic_score_gemma":0.0107475305,"teacher_disagreement_score":0.13238251,"about_ca_system_score_codex":0.00020782872,"about_ca_system_score_gemma":0.000033659508,"threshold_uncertainty_score":0.889413},"labels":[],"label_agreement":null},{"id":"W2889389738","doi":"10.1007/s41412-018-0076-5","title":"Explaining Hypothetical Bias Variations Using Income Elasticity of Demand","year":2018,"lang":"en","type":"article","venue":"Homo Oeconomicus","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Economics; Econometrics; Elasticity (physics); Valuation (finance); Income elasticity of demand; Price elasticity of demand; Microeconomics","score_opus":0.17302789949454286,"score_gpt":0.2450918799767265,"score_spread":0.07206398048218363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889389738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9572316,0.000114496404,0.02773929,0.00005662083,0.0004245474,0.00012722985,0.00009243882,0.000019886635,0.014193881],"genre_scores_gemma":[0.9946116,0.000025174066,0.004894855,0.000077400306,0.00021503559,0.000008829188,0.000008918341,0.000025259613,0.00013290645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985829,0.000020611165,0.0007866048,0.00034892524,0.000018218103,0.0002427208],"domain_scores_gemma":[0.9990667,0.00010324188,0.0004544344,0.00028033598,0.000012297451,0.00008296809],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00056044286,0.0001416754,0.00037784665,0.00016892402,0.00013872686,0.00003512533,0.00016084309,0.00010313368,0.0021131388],"category_scores_gemma":[0.00008404802,0.0001781691,0.00010222544,0.00006737082,0.00020671978,0.0002759325,0.00008502178,0.00008010111,0.0015309643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023982519,0.00012096199,0.7728558,0.000018247094,0.00010206196,7.3156264e-7,0.00075043703,0.002127245,0.0003676676,0.22294642,0.00008557783,0.0006008261],"study_design_scores_gemma":[0.0013369102,0.0002238613,0.83450246,0.000028571483,0.00003388104,0.000016511032,0.00016913532,0.11317905,0.002502844,0.045778163,0.001701099,0.00052750285],"about_ca_topic_score_codex":0.00014708392,"about_ca_topic_score_gemma":0.000025485628,"teacher_disagreement_score":0.17716826,"about_ca_system_score_codex":0.00020824694,"about_ca_system_score_gemma":0.000020286829,"threshold_uncertainty_score":0.9992465},"labels":[],"label_agreement":null},{"id":"W2889801446","doi":"10.1080/21606544.2018.1515118","title":"Choice certainty, consistency, and monotonicity in discrete choice experiments","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Core Research for Evolutional Science and Technology; Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz","keywords":"Certainty; Monotonic function; Consistency (knowledge bases); Mathematical economics; Econometrics; Mathematics; Economics; Statistics; Applied mathematics; Discrete mathematics; Mathematical analysis","score_opus":0.047426236173265066,"score_gpt":0.25451750562159464,"score_spread":0.20709126944832956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889801446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99319416,0.0015065247,0.00001931641,0.0007805846,0.0001544557,0.000119518445,0.00007291184,0.000002094973,0.0041504535],"genre_scores_gemma":[0.9931869,0.0053313663,0.0002996586,0.00058565923,0.00033623006,0.000004156567,0.0000038145465,0.0000203424,0.00023186867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863017,0.00001806288,0.00082647125,0.00026948456,0.000020562422,0.00023525902],"domain_scores_gemma":[0.9990299,0.00006130982,0.0005967421,0.00015175561,0.0000021039746,0.00015819613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003797418,0.0001714933,0.0004089864,0.00023901553,0.00009486463,0.000056164794,0.00012849843,0.00009331955,0.0002393022],"category_scores_gemma":[0.000036242305,0.00019617443,0.00007494582,0.000034741694,0.00031679627,0.0004496992,0.0001269441,0.00013593578,0.000060746945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040129024,0.00013444088,0.97450227,0.000009014095,0.000077220924,0.000001683064,0.0008004048,0.000105116414,0.00032173836,0.020522505,0.000060075385,0.0034253835],"study_design_scores_gemma":[0.0017263269,0.00028229004,0.96776295,0.000012819862,0.000008455351,0.000039054234,0.00022866158,0.001482142,0.00024496237,0.00776451,0.02020323,0.0002445916],"about_ca_topic_score_codex":0.0006469039,"about_ca_topic_score_gemma":0.0000947652,"teacher_disagreement_score":0.020143155,"about_ca_system_score_codex":0.0003848007,"about_ca_system_score_gemma":0.000018115994,"threshold_uncertainty_score":0.79997605},"labels":[],"label_agreement":null},{"id":"W2890618575","doi":"10.1177/0361198118796731","title":"Transferring Time-Series Discrete Choice to Link-Based Route Choice in Space: Estimating Vehicle Type Preference using Recursive Logit Model","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Discrete choice; Multinomial logistic regression; Mixed logit; Computer science; Mathematical optimization; Context (archaeology); Logit; Preference; Multinomial distribution; Series (stratigraphy); Econometrics; Logistic regression; Mathematics; Statistics; Machine learning","score_opus":0.3037815130903522,"score_gpt":0.3687111763789211,"score_spread":0.06492966328856892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890618575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707883,0.00009393362,0.024781927,0.0028113443,0.00031798438,0.00079055154,0.00011441681,0.000015067891,0.00028645303],"genre_scores_gemma":[0.97476274,0.00007695811,0.024267115,0.00007643517,0.00023545996,0.000034297103,0.000019640584,0.000053040272,0.00047430702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99645114,0.0002705452,0.0014342216,0.0005135723,0.000594925,0.00073559047],"domain_scores_gemma":[0.9978726,0.00042977225,0.00042511962,0.0003899925,0.00060543115,0.00027711896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034291556,0.00022495109,0.0004800147,0.0008722372,0.0004485069,0.00012683903,0.0007298385,0.00017327047,0.0003801862],"category_scores_gemma":[0.00036512103,0.00021867042,0.00018453335,0.0013219315,0.0003882,0.0009933197,0.000009953149,0.0011214681,0.00013269766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069120416,0.000105274325,0.7505824,0.00010496885,0.00005441771,0.00000795543,0.0026891697,0.23932266,0.0026535273,0.0026684746,0.00022903437,0.00089089584],"study_design_scores_gemma":[0.0012688295,0.000682197,0.87412184,0.00037490405,0.000017144459,1.7695349e-7,0.0002635465,0.11287546,0.0014123772,0.007808416,0.00091061904,0.00026450853],"about_ca_topic_score_codex":0.009187964,"about_ca_topic_score_gemma":0.021431938,"teacher_disagreement_score":0.1264472,"about_ca_system_score_codex":0.0006297099,"about_ca_system_score_gemma":0.00029207516,"threshold_uncertainty_score":0.99740994},"labels":[],"label_agreement":null},{"id":"W2891789217","doi":"10.18122/td/1424/boisestate","title":"Feasibility of Aerial Tramway at Boise State University","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Boise State University","keywords":"Downtown; State (computer science); Transport engineering; Public transport; Civil engineering; Geography; Environmental planning; Engineering; Computer science; Archaeology","score_opus":0.08445185495394116,"score_gpt":0.21961608779999642,"score_spread":0.13516423284605528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891789217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8729101,0.00010495679,0.00006006552,0.0000107081405,0.0006618375,0.00021808031,0.00043753165,0.000014004895,0.12558272],"genre_scores_gemma":[0.8813603,0.00025282087,0.00030875602,0.000013586545,0.000056089877,0.0000014804957,0.00088346977,0.00002043794,0.11710306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989111,0.00001239295,0.00048536662,0.0004162834,0.000025902722,0.00014897234],"domain_scores_gemma":[0.9990461,0.000014451959,0.00057559204,0.00029366754,0.0000138323685,0.00005639283],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028997494,0.00015546713,0.00040426146,0.00011277613,0.00007008756,0.000009055061,0.00016534633,0.00018586907,0.007957076],"category_scores_gemma":[0.000016803691,0.00020353284,0.00015965266,0.000055748063,0.00006346325,0.00013536337,0.000033825974,0.00007366763,0.0014477761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017889199,0.0006990997,0.929128,0.0005141087,0.0004354789,0.0000040471996,0.0050564473,0.000105954154,0.0005505108,0.043656424,0.015287552,0.0027734472],"study_design_scores_gemma":[0.0013590249,0.00014055628,0.9681304,0.00001963655,0.000028567812,4.815861e-7,0.0005057383,0.0002135133,0.0017910346,0.00973635,0.017587887,0.0004868057],"about_ca_topic_score_codex":0.0005341245,"about_ca_topic_score_gemma":0.0013345649,"teacher_disagreement_score":0.039002396,"about_ca_system_score_codex":0.00050906447,"about_ca_system_score_gemma":0.000021786744,"threshold_uncertainty_score":0.9993297},"labels":[],"label_agreement":null},{"id":"W2892341868","doi":"10.1111/conl.12604","title":"Prioritizing recovery funding to maximize conservation of endangered species","year":2018,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Environment; Environment and Climate Change Canada; Global Institute for Water Security; University of Alberta; University of Saskatchewan; University of Victoria; University of British Columbia","funders":"Mitacs; Marine Environmental Observation Prediction and Response Network; Wilburforce Foundation","keywords":"Endangered species; Liberian dollar; Business; Environmental resource management; Natural resource economics; Ecology; Biology; Economics; Finance; Habitat","score_opus":0.1546035412661004,"score_gpt":0.22615833929162657,"score_spread":0.07155479802552617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892341868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9491625,0.000047020276,0.031022407,0.015317118,0.000559076,0.00022338668,0.000055363173,0.00002805365,0.003585099],"genre_scores_gemma":[0.9763522,0.000030428107,0.009670146,0.012953839,0.00020412305,0.000020699059,0.00004751711,0.000019747475,0.00070127804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988875,0.00001700798,0.0005912794,0.00028332,0.000038564747,0.00018237678],"domain_scores_gemma":[0.99926007,0.00007806025,0.0003605479,0.00022394006,0.00002662659,0.000050772545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004868286,0.00010996559,0.00023498753,0.00020716611,0.00009993906,0.0000412287,0.00011808278,0.000054246353,0.00049298373],"category_scores_gemma":[0.00016614662,0.00014995856,0.000064989974,0.00017976383,0.000104370534,0.00037461348,0.000043144868,0.00005030249,0.0006462738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005211183,0.000031250143,0.89086294,0.00003209897,0.00005192621,7.3967044e-7,0.0010560645,0.00006682165,0.058450237,0.027487222,0.021165363,0.00074324047],"study_design_scores_gemma":[0.00046516443,0.00007650842,0.95730686,0.000032198037,0.000006411299,0.000001625845,0.00014013587,0.0011171129,0.0039942088,0.001841336,0.034798674,0.00021974913],"about_ca_topic_score_codex":0.00024666672,"about_ca_topic_score_gemma":0.000044440003,"teacher_disagreement_score":0.06644395,"about_ca_system_score_codex":0.00021831281,"about_ca_system_score_gemma":0.000010787544,"threshold_uncertainty_score":0.8306757},"labels":[],"label_agreement":null},{"id":"W2892441265","doi":"10.1139/cjfas-2017-0444","title":"Improved approximations for estimation of size-transition probabilities within size-structured models","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Sample size determination; Statistics; Range (aeronautics); Applied mathematics; Econometrics; Statistical physics","score_opus":0.058552769245832186,"score_gpt":0.20747928679339123,"score_spread":0.14892651754755903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892441265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630398,0.0001928555,0.03456064,0.0010613443,0.00023429247,0.00017497397,0.00005021219,0.000001654514,0.000684183],"genre_scores_gemma":[0.9639064,0.000009982663,0.035868008,0.00008944619,0.000044454377,0.0000055576547,0.0000015935165,0.0000039012516,0.00007066543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924845,0.000008286031,0.0004891688,0.000111100686,0.000026034782,0.00011699441],"domain_scores_gemma":[0.99930966,0.000100800506,0.00042046455,0.000056476933,0.000022933782,0.00008964145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006728764,0.00006283658,0.00018139607,0.00008490284,0.00021240243,0.00007435312,0.00009568859,0.000037108955,0.00011265202],"category_scores_gemma":[0.00032724542,0.00006054363,0.000042054846,0.000084805346,0.0005880087,0.00060805085,0.0000032772296,0.000030849842,8.42451e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020062075,0.00014866119,0.13147315,0.00082833564,0.0003738511,0.00000163953,0.14937255,0.06353061,0.0013647876,0.6165208,0.002241807,0.033943176],"study_design_scores_gemma":[0.00037566843,0.00049399445,0.010301326,0.000030948977,0.000011981287,0.00000812141,0.0024815793,0.5003488,0.00038679852,0.4853366,0.00010808704,0.00011606893],"about_ca_topic_score_codex":0.001051309,"about_ca_topic_score_gemma":0.0023924208,"teacher_disagreement_score":0.4368182,"about_ca_system_score_codex":0.000053936816,"about_ca_system_score_gemma":0.00014416633,"threshold_uncertainty_score":0.24688976},"labels":[],"label_agreement":null},{"id":"W2893814094","doi":"10.7939/r3319sf4t","title":"Analysis and Economic Valuation of Off Highway Vehicle Use in Southwestern Alberta, Canada","year":2017,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Economic analysis; Transport engineering; Economics; Geography; Natural resource economics; Agricultural economics; Engineering; Finance","score_opus":0.03260996701476416,"score_gpt":0.16212128765196537,"score_spread":0.12951132063720122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893814094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99280864,0.000042350912,0.000017095548,0.00037546034,0.000045698103,0.00006519341,0.0000529087,0.0000015570369,0.0065910844],"genre_scores_gemma":[0.9950205,0.000114179704,0.00010492297,0.00002661354,0.0000062580707,1.2373164e-7,0.000049736173,0.000006117908,0.0046715676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944127,0.000011948195,0.0002301256,0.0002111977,0.000016534012,0.00008895131],"domain_scores_gemma":[0.99914193,0.00009722712,0.00042227894,0.00029390556,0.000002086285,0.000042558284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007584101,0.00007017871,0.00027179142,0.00015570331,0.00007212146,0.000023787137,0.00019124754,0.000050633327,0.00074072997],"category_scores_gemma":[0.000015570144,0.000101390935,0.00005906995,0.000035000245,0.00008257242,0.0011310136,0.00011232218,0.000037470145,0.000025492667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015220289,0.000016037571,0.9950058,0.0000066451335,0.00009823169,5.439458e-7,0.0005546584,0.0006419467,0.0000027694102,0.0033557254,0.00008725642,0.00021515129],"study_design_scores_gemma":[0.0004817421,0.000014319913,0.9868588,0.0000056879953,0.0000331835,1.1606629e-7,0.00014244353,0.010820756,0.00005342221,0.00034235185,0.0011514548,0.00009571923],"about_ca_topic_score_codex":0.92504346,"about_ca_topic_score_gemma":0.915406,"teacher_disagreement_score":0.010178809,"about_ca_system_score_codex":0.000074073,"about_ca_system_score_gemma":0.00004624527,"threshold_uncertainty_score":0.8110474},"labels":[],"label_agreement":null},{"id":"W2894895249","doi":"10.1016/j.jcjd.2018.08.026","title":"Patient Preferences Among Individuals with Type 2 Diabetes for Attributes of Diabetes Medications: A Discrete Choice Experiment","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Type 2 diabetes; Diabetes mellitus; Endocrinology","score_opus":0.05002402424432238,"score_gpt":0.2188192598387569,"score_spread":0.16879523559443455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894895249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99435174,0.003966988,0.000037067493,0.00030601316,0.00032360214,0.00026547522,0.00032812043,0.00000381568,0.0004171726],"genre_scores_gemma":[0.99854916,0.000020216201,0.0009825573,0.00014097148,0.00016425995,0.000042787342,0.000043577304,0.000021491813,0.000034954755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854773,0.000022453367,0.00075588224,0.00020768083,0.000060448077,0.00040581345],"domain_scores_gemma":[0.99823403,0.00017480591,0.00096223614,0.00019291209,0.000108204134,0.00032780552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054526026,0.0001561493,0.00043995207,0.0002965203,0.00013747433,0.00005569278,0.00025214703,0.00008061211,0.00045781577],"category_scores_gemma":[0.00027112948,0.00014413886,0.00009063341,0.00015066886,0.0003778942,0.00037318506,0.000018322075,0.00008602788,0.000022781778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.1468335e-7,0.000022369948,0.99708223,0.000023252842,0.00021645031,3.7970626e-8,0.00063826295,0.000034559245,0.0000703096,0.00049987045,0.00072686555,0.0006849899],"study_design_scores_gemma":[0.0005416348,0.0013926312,0.980234,0.00016270005,0.000053856576,8.1099756e-8,0.00033195526,0.00026870918,0.007694083,0.0036196385,0.005466891,0.00023381172],"about_ca_topic_score_codex":0.00015693104,"about_ca_topic_score_gemma":0.0008480034,"teacher_disagreement_score":0.016848208,"about_ca_system_score_codex":0.00016296831,"about_ca_system_score_gemma":0.00015348746,"threshold_uncertainty_score":0.58778125},"labels":[],"label_agreement":null},{"id":"W2896303491","doi":"10.1371/journal.pone.0208309","title":"Accommodating exogenous variable and decision rule heterogeneity in discrete choice models: Application to bicyclist route choice","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Regret; Discrete choice; Probabilistic logic; Preference; Econometrics; Population; Variable (mathematics); Computer science; Decision rule; Operations research; Statistics; Economics; Mathematics; Machine learning; Artificial intelligence","score_opus":0.13872576722338673,"score_gpt":0.2460591399565465,"score_spread":0.10733337273315977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896303491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96112895,0.00019978188,0.034532607,0.00011122426,0.000033934444,0.00038065566,0.00008056543,0.000022559518,0.0035097185],"genre_scores_gemma":[0.9714064,0.000071353956,0.027830807,0.00029546843,0.00014182487,0.00010176676,0.000042245207,0.000024404106,0.00008574997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877894,0.000011009946,0.00045964913,0.00047737546,0.000043329295,0.00022968628],"domain_scores_gemma":[0.9993032,0.00008213899,0.00017185898,0.00034058606,0.0000112975,0.000090906964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004280504,0.00012586142,0.00027851033,0.00012410434,0.00013205122,0.00006508401,0.00016630255,0.00008081542,0.00007617504],"category_scores_gemma":[0.0000882353,0.00015981332,0.000022572818,0.0001495947,0.000035436704,0.0004432632,0.00015118995,0.000083833314,0.00042658712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023683997,0.0004370858,0.98193306,0.000031152063,0.000052097726,1.4908065e-7,0.00027403835,0.00197975,0.0030405647,0.0056350473,0.000018551815,0.006574845],"study_design_scores_gemma":[0.0007973021,0.000111236724,0.6984884,0.00007019407,0.000018128814,7.10272e-7,0.000026541073,0.2601318,0.0016248671,0.03776985,0.00058909017,0.00037186473],"about_ca_topic_score_codex":0.0021676973,"about_ca_topic_score_gemma":0.0008167174,"teacher_disagreement_score":0.2834446,"about_ca_system_score_codex":0.00021837809,"about_ca_system_score_gemma":0.000005494783,"threshold_uncertainty_score":0.6516998},"labels":[],"label_agreement":null},{"id":"W2897134282","doi":"10.1093/beheco/ary130","title":"Systematic reviews and maps as tools for applying behavioral ecology to management and policy","year":2018,"lang":"en","type":"article","venue":"Behavioral Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Jacob Blaustein Center for Scientific Cooperation; Ben-Gurion University of the Negev; Stockholm Environment Institute; Monash University; Stiftelsen för Miljöstrategisk Forskning","keywords":"Systematic review; Management science; Workflow; Process (computing); Transparency (behavior); Field (mathematics); Empirical evidence; Knowledge base; Ecology; Engineering ethics; Knowledge management; Biology; MEDLINE; Computer science; Economics; Engineering; Management","score_opus":0.21501754502200152,"score_gpt":0.3326608606568405,"score_spread":0.11764331563483896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897134282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99327826,0.00037605452,0.00041400836,0.0004126501,0.00037153054,0.0038748186,0.00006911138,0.000020477162,0.0011831088],"genre_scores_gemma":[0.9902663,0.0002726061,0.0038333356,0.0009500604,0.00013416342,0.0029385411,0.000037297905,0.000027193473,0.0015404677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983349,0.00003749699,0.0007609003,0.0004964436,0.000017254226,0.00035304978],"domain_scores_gemma":[0.9992567,0.000061437735,0.00030070098,0.00024569462,0.000010315612,0.00012515658],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007047911,0.00018342471,0.00065764034,0.00024145299,0.00017321554,0.000070689035,0.00013183127,0.00014484822,0.0002227642],"category_scores_gemma":[0.000061905856,0.00020762703,0.00006800062,0.000077785146,0.00011992159,0.00020644923,0.00017208263,0.00005934266,0.0009797148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011706977,0.00091262505,0.5745961,0.0036506397,0.0001372729,0.000016899992,0.0023442074,0.0000070921965,0.000362962,0.3611452,0.004416019,0.052293915],"study_design_scores_gemma":[0.0032617094,0.004334719,0.91644853,0.0002940812,0.00033717434,0.000077481294,0.0012167997,0.0002138265,0.00015409487,0.027296906,0.045168865,0.001195814],"about_ca_topic_score_codex":0.00010723689,"about_ca_topic_score_gemma":0.0002588618,"teacher_disagreement_score":0.34185243,"about_ca_system_score_codex":0.00023982851,"about_ca_system_score_gemma":0.000007831811,"threshold_uncertainty_score":0.9997981},"labels":[],"label_agreement":null},{"id":"W2897892658","doi":"10.1093/restud/rdaa067","title":"Stochastic Revealed Preferences with Measurement Error","year":2020,"lang":"en","type":"preprint","venue":"The Review of Economic Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"University of California, Davis; University of Toronto; Arizona State University; Compute Canada; International Association for Applied Econometrics; California Institute of Technology","keywords":"Axiom; Nonparametric statistics; Set (abstract data type); Observational error; Computer science; Revealed preference; Consumption (sociology); Order (exchange); Econometrics; Mathematics; Economics","score_opus":0.4114928958659925,"score_gpt":0.3067004930801298,"score_spread":0.10479240278586271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897892658","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046092007,0.93229425,0.0005120959,0.00888164,0.00086950196,0.0022009634,0.00032079086,0.000036001908,0.008792763],"genre_scores_gemma":[0.73208374,0.2660953,0.00033062111,0.0007011472,0.00018015817,0.00040594605,0.000025319747,0.000036962894,0.00014080462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99766576,0.000057408597,0.0013795628,0.0006286482,0.00006021441,0.0002083743],"domain_scores_gemma":[0.9972768,0.000097521246,0.0018704864,0.000668965,0.000034392964,0.00005184356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017416883,0.0003571289,0.0016661485,0.000056303008,0.000088932466,0.0000193984,0.000546562,0.000072917064,0.0003484809],"category_scores_gemma":[0.0001800656,0.0002657426,0.00025891286,0.000040429575,0.00025629275,0.00007378031,0.00053950207,0.00027019734,0.0007421639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005436444,0.0008929039,0.09951663,0.25124,0.0444442,0.000009314627,0.01787208,0.077435195,0.000017175653,0.31764534,0.16258684,0.027796673],"study_design_scores_gemma":[0.004892633,0.0018364703,0.17514484,0.11528203,0.0040998296,0.000031555635,0.0044304417,0.005991833,0.00008947986,0.64442956,0.037465923,0.006305403],"about_ca_topic_score_codex":0.00007604885,"about_ca_topic_score_gemma":0.000042069583,"teacher_disagreement_score":0.6859917,"about_ca_system_score_codex":0.0005546886,"about_ca_system_score_gemma":0.000077286146,"threshold_uncertainty_score":0.9999795},"labels":[],"label_agreement":null},{"id":"W2898810732","doi":"10.1093/biosci/biy135","title":"The Natural Capital Accounting Opportunity: Let's Really Do the Numbers","year":2018,"lang":"en","type":"article","venue":"BioScience","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"National Science Foundation","keywords":"Natural capital; Accounting; Capital (architecture); Natural (archaeology); Business; Economics; Geography; Ecology; Biology; Archaeology","score_opus":0.06851983563127119,"score_gpt":0.22396781548976183,"score_spread":0.15544797985849063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898810732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94734895,0.0004152775,0.00012236973,0.002160421,0.0012219009,0.00011105372,0.000011121782,0.000016000522,0.048592903],"genre_scores_gemma":[0.9966063,0.00014614536,0.00010245813,0.00089407206,0.00019489664,0.00000744518,0.0000018600908,0.000006547608,0.0020403091],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991912,0.0000109410785,0.0002500324,0.00025779885,0.00004504372,0.00024496816],"domain_scores_gemma":[0.9993801,0.000060272643,0.00020107404,0.00030091932,0.000010553938,0.000047053956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001151624,0.00007851904,0.000080546975,0.000026898995,0.0008021419,0.00022901891,0.0004749933,0.000031221545,0.00019179136],"category_scores_gemma":[0.00016567194,0.000053835785,0.000044936714,0.00012239246,0.00061206403,0.00033817743,0.00011572132,0.000091672955,0.0010737401],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010630402,0.0000424321,0.3922376,0.000004207001,0.000024217068,0.0000012633939,0.0026400043,0.000013574032,0.000590079,0.5829525,0.005349804,0.016133659],"study_design_scores_gemma":[0.00021510824,0.00006488498,0.831319,0.000006645633,0.0000040827626,0.000010650885,0.0016353927,0.004710003,0.00026311487,0.015934391,0.14554912,0.00028762297],"about_ca_topic_score_codex":0.00024212354,"about_ca_topic_score_gemma":0.00008785824,"teacher_disagreement_score":0.56701815,"about_ca_system_score_codex":0.00009395637,"about_ca_system_score_gemma":0.0000246005,"threshold_uncertainty_score":0.99970406},"labels":[],"label_agreement":null},{"id":"W2899034035","doi":"10.5296/emsd.v7i4.13681","title":"Factors Affecting the Willingness to Pay for the Protection of the Di River: an Approach Using the Box-Cox Double Hurdle Model","year":2018,"lang":"en","type":"article","venue":"Environmental Management and Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Willingness to pay; Respondent; Investment (military); Variables; Variable (mathematics); Econometric model; Population; Economics; Business; Actuarial science; Microeconomics; Econometrics; Statistics; Demography; Mathematics","score_opus":0.0838447191996697,"score_gpt":0.21099495051697822,"score_spread":0.12715023131730852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899034035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8490324,0.00010696971,0.1478059,0.00020155539,0.000113699,0.0022436224,0.000006344061,0.000007751489,0.00048175952],"genre_scores_gemma":[0.9944381,0.000027806014,0.0016805899,0.00011642264,0.00004574882,0.00025808343,0.000008553273,0.000022838467,0.0034018508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885505,0.000028694612,0.00034558453,0.00035145963,0.00008027501,0.000338914],"domain_scores_gemma":[0.99935544,0.00002980332,0.0002263882,0.00034839197,0.0000046793275,0.00003532414],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012588025,0.00017947181,0.00015724491,0.000044370296,0.0015832941,0.000084663785,0.00034565298,0.000042466436,0.000021964002],"category_scores_gemma":[0.0000062028826,0.0000912647,0.0000645117,0.00010732485,0.00020384266,0.00022148395,0.0004354121,0.000089594025,0.00000557117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027567853,0.0007594482,0.62616587,0.00042772666,0.000800863,6.880798e-7,0.079396434,0.21278365,0.0002549118,0.06144657,0.0002472881,0.017440865],"study_design_scores_gemma":[0.0009593123,0.00009575796,0.76594025,0.000014506538,0.000065767876,0.0000011041026,0.05591936,0.16285604,0.0019813597,0.0036344028,0.008143766,0.00038835843],"about_ca_topic_score_codex":0.00012378639,"about_ca_topic_score_gemma":0.0000075140447,"teacher_disagreement_score":0.14612532,"about_ca_system_score_codex":0.00038085226,"about_ca_system_score_gemma":0.000008576873,"threshold_uncertainty_score":0.9997165},"labels":[],"label_agreement":null},{"id":"W2899608228","doi":"10.11575/prism/10186","title":"'Identifying “Appropriate Use” In Canada’s Parks: Collaborative Decision-Making'","year":2008,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Environmental resource management; Geography; Computer science; Environmental science","score_opus":0.04549361653486095,"score_gpt":0.18658706209425796,"score_spread":0.141093445559397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899608228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9467775,0.00026300084,0.04845759,0.00006536537,0.00012073207,0.00013245294,0.0000056934814,0.0000059622257,0.0041716825],"genre_scores_gemma":[0.9775005,0.00041145907,0.021516684,0.00004473475,0.000004103585,4.1807175e-7,0.000007547575,0.00000767859,0.00050684717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929315,0.000015000102,0.00024385372,0.0002503058,0.00004425444,0.00015343718],"domain_scores_gemma":[0.99950105,0.000067064866,0.00021274568,0.00016261973,0.000009733389,0.000046799323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015572752,0.000083714316,0.00025788252,0.0001435085,0.000112621114,0.000007192112,0.00016186404,0.000055741853,0.00044635992],"category_scores_gemma":[0.00003866663,0.00012640782,0.000045663117,0.00012868714,0.00006465184,0.00039417346,0.00007984429,0.00009293731,0.00009855568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004469183,0.000045237513,0.9814827,0.00000899766,0.0000337756,0.000049459843,0.0023235707,0.00016845365,0.0000063895473,0.0036794615,0.00096255826,0.0111946985],"study_design_scores_gemma":[0.0005745114,0.0000143934985,0.9743811,0.000022088121,0.000003691623,0.0000020581892,0.00036574586,0.018474158,0.000008119331,0.0035202617,0.002479042,0.00015481433],"about_ca_topic_score_codex":0.5638283,"about_ca_topic_score_gemma":0.3124086,"teacher_disagreement_score":0.25141966,"about_ca_system_score_codex":0.00065082003,"about_ca_system_score_gemma":0.00017302166,"threshold_uncertainty_score":0.70013815},"labels":[],"label_agreement":null},{"id":"W2899987738","doi":"10.1093/heapro/day084","title":"Individual-level determinants of waterpipe smoking demand in four Eastern-Mediterranean countries","year":2018,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Al Jalila Foundation","keywords":"Multinomial logistic regression; Tobacco control; Environmental health; Nicotine; Medicine; Smoke; Logistic regression; Demography; Public health; Geography","score_opus":0.2632270901704321,"score_gpt":0.3187450114567194,"score_spread":0.0555179212862873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899987738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925542,0.00007307421,0.0032762068,0.0010177915,0.0011616846,0.00020667996,0.00021192356,0.000010362703,0.0014881175],"genre_scores_gemma":[0.9983961,0.00008601206,0.00051131967,0.00030433692,0.00023425245,0.00002526466,0.000058631507,0.0000125473025,0.00037155897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860066,0.000027757284,0.0008443401,0.0002540004,0.00007803339,0.00019517739],"domain_scores_gemma":[0.9992417,0.000020211017,0.00054693525,0.00011615732,0.000025269977,0.00004974555],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010901351,0.00009568604,0.00022816751,0.00025738077,0.00006414927,0.000026712007,0.00017345998,0.00006697885,0.0013062919],"category_scores_gemma":[0.000037921276,0.00011275248,0.00003711354,0.00005403989,0.00008511417,0.00031956795,0.000058928184,0.00007710651,0.00030698278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011728199,0.00007159063,0.9931279,0.000038501494,0.00001474267,6.7297293e-7,0.0014451116,0.000017440077,0.0000029150858,0.0021958596,0.00014761375,0.002925966],"study_design_scores_gemma":[0.0007985195,0.0001934357,0.9843791,0.000097858174,0.0000014118733,0.0000072736275,0.00005076396,0.007900426,0.00019116049,0.0048140693,0.0014564695,0.000109473236],"about_ca_topic_score_codex":0.00025068797,"about_ca_topic_score_gemma":0.00021293716,"teacher_disagreement_score":0.00874872,"about_ca_system_score_codex":0.0002382722,"about_ca_system_score_gemma":0.000025949283,"threshold_uncertainty_score":0.99960667},"labels":[],"label_agreement":null},{"id":"W2900166746","doi":"10.7939/r3m96t","title":"Two Papers on the Cost Effectiveness of Conservation Programs","year":2014,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","score_opus":0.037790196777045024,"score_gpt":0.1670514017051046,"score_spread":0.1292612049280596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900166746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8516031,0.000011246422,0.000091850874,0.0005477078,0.000035779893,0.00016423913,0.0000044882886,0.000004906789,0.14753668],"genre_scores_gemma":[0.99859875,0.000021644024,0.00012567229,0.00011921589,0.000006927593,4.8350495e-7,0.000040681538,0.000005577464,0.0010810677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996573,0.000040859613,0.00010769323,0.000119535776,0.000014277565,0.00006035652],"domain_scores_gemma":[0.9993781,0.00029393224,0.00016067846,0.00014592161,0.0000021646842,0.000019212135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001893943,0.00004993691,0.00013175308,0.000038739985,0.000045443274,0.00000527865,0.00012957059,0.000030129106,0.0005737143],"category_scores_gemma":[0.000017183265,0.000052365314,0.00005500853,0.000053535394,0.00010073921,0.00020797376,0.000036415713,0.00003695388,0.00010790852],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004682971,0.000055459644,0.5672769,0.00002012829,0.000025677353,6.66893e-8,0.00030587142,0.00015778655,0.000034425153,0.4312566,0.000170705,0.0006495622],"study_design_scores_gemma":[0.0009239701,0.00016412638,0.96226525,0.00004789686,0.000008309144,2.3865493e-7,0.00033418517,0.001879222,0.0007324503,0.007628613,0.02589969,0.00011603671],"about_ca_topic_score_codex":0.0008009571,"about_ca_topic_score_gemma":0.00003689073,"teacher_disagreement_score":0.42362797,"about_ca_system_score_codex":0.000018214212,"about_ca_system_score_gemma":0.000005400247,"threshold_uncertainty_score":0.6281769},"labels":[],"label_agreement":null},{"id":"W2900438999","doi":"10.1561/101.00000098","title":"Identifying the Causes of Low Participation Rates in Conservation Tenders","year":2018,"lang":"en","type":"article","venue":"International Review of Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Call for bids; Business; Natural resource economics; Economics; Procurement; Marketing","score_opus":0.07790443953926925,"score_gpt":0.2613164101157325,"score_spread":0.18341197057646325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900438999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876319,0.008034791,0.000058914782,0.0010438988,0.000117572454,0.00018231229,0.00007083628,0.000001975749,0.0028578024],"genre_scores_gemma":[0.9698342,0.029116591,0.00008738603,0.0007532927,0.000041540414,0.000015139634,0.000037353097,0.000007615655,0.00010685033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901134,0.000017750395,0.0006828112,0.00017798835,0.000027973925,0.00008211313],"domain_scores_gemma":[0.9993017,0.000054023578,0.000495288,0.00012442055,0.000003836068,0.000020756857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004999123,0.00008028322,0.00020925314,0.00006635422,0.000033914795,0.000010698352,0.0001328501,0.000036165093,0.0005909512],"category_scores_gemma":[0.000034188593,0.0000751472,0.000055208988,0.000025791758,0.00026336944,0.00017260373,0.000068724774,0.000051016093,0.0000620778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021520937,0.00012985332,0.9740013,0.00031209755,0.00007415799,2.1544996e-7,0.0005046264,0.00009703532,0.0003912511,0.01820134,0.00027066638,0.0059959525],"study_design_scores_gemma":[0.00034662936,0.000044066874,0.98270637,0.00036913372,0.000008532549,0.0000023207133,0.00026468944,0.0017205,0.00096020417,0.0041997316,0.009268777,0.000109047316],"about_ca_topic_score_codex":0.00005013447,"about_ca_topic_score_gemma":0.000022439177,"teacher_disagreement_score":0.0210818,"about_ca_system_score_codex":0.000091749185,"about_ca_system_score_gemma":0.0000041172902,"threshold_uncertainty_score":0.64705014},"labels":[],"label_agreement":null},{"id":"W2900666964","doi":"10.1016/j.jfe.2018.10.004","title":"Economic impacts of conservation area strategies in Alberta, Canada: A CGE model analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Natural resource economics; Economic impact analysis; Rationalization (economics); Economics; Natural resource; Land use; Environmental resource management; Ecology","score_opus":0.04722418757773488,"score_gpt":0.21181620351946442,"score_spread":0.16459201594172954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900666964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937542,0.00010981303,0.0016469285,0.00041295544,0.00023811669,0.00008471283,0.00008110446,0.0000015031692,0.0036706473],"genre_scores_gemma":[0.9986901,0.00025985573,0.0006814102,0.00016234608,0.00008584719,0.0000023297146,0.000015858117,0.000015953963,0.00008627383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794155,0.000011204673,0.0016015065,0.00020678421,0.000022100883,0.00021686494],"domain_scores_gemma":[0.997748,0.00007819018,0.0018198545,0.00023068424,0.000027718339,0.00009553758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062879425,0.00015284096,0.0006887823,0.00048418375,0.000036131936,0.00004220969,0.00023603912,0.00009350169,0.00022508376],"category_scores_gemma":[0.00003358628,0.00018204146,0.00019536757,0.00011234152,0.00009837987,0.0007528498,0.00003220202,0.00011246076,0.000028278393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034801422,0.00002861693,0.7241624,0.000007215943,0.00017551583,5.4390995e-7,0.0002336945,0.23531884,0.0000031686004,0.0397829,0.00022968755,0.000022632366],"study_design_scores_gemma":[0.00064584595,0.00010153965,0.6699209,0.000009828942,0.000052540934,0.0000051828833,0.00019646877,0.3020852,0.000065953645,0.02644533,0.00030581703,0.00016542182],"about_ca_topic_score_codex":0.4382286,"about_ca_topic_score_gemma":0.9427796,"teacher_disagreement_score":0.504551,"about_ca_system_score_codex":0.0011071704,"about_ca_system_score_gemma":0.00052829727,"threshold_uncertainty_score":0.7423435},"labels":[],"label_agreement":null},{"id":"W2901329611","doi":"10.1002/cjs.11469","title":"Robust design for the estimation of a threshold probability","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Covariance; Statistics; Neighbourhood (mathematics); Mathematics; Threshold limit value; Computer science; Econometrics","score_opus":0.23469850636283057,"score_gpt":0.22519905805287738,"score_spread":0.009499448309953196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901329611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050495047,0.00026913703,0.94780344,0.0002489033,0.00029059607,0.00017966579,0.00038879,6.612854e-7,0.00032374728],"genre_scores_gemma":[0.89499646,0.000017688266,0.10477997,0.000060254733,0.00007322318,0.0000034341435,0.00000436652,0.0000066244434,0.00005796713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993704,0.0000064044357,0.00043904647,0.00006427423,0.00001595604,0.000103928054],"domain_scores_gemma":[0.999224,0.00012794432,0.00041425307,0.00009852494,0.00005165841,0.000083612096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008008608,0.000046744397,0.00013554544,0.0000657428,0.000091231545,0.000020293694,0.000115384435,0.000029572788,0.00026442404],"category_scores_gemma":[0.0002709297,0.00004268523,0.0000335985,0.000038145703,0.00015909695,0.00008487913,0.0000033215833,0.000045960143,0.000020502155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005277497,0.00004389676,0.09544715,0.00007091813,0.00016004137,0.000002122585,0.0019281728,0.22381671,0.000011023911,0.63555986,0.031220922,0.011686396],"study_design_scores_gemma":[0.0006413827,0.00054759503,0.14385591,0.000022761375,0.000040882907,0.0000119630295,0.00012522298,0.38080236,0.00013924712,0.47050774,0.0031604106,0.00014451968],"about_ca_topic_score_codex":0.00047924704,"about_ca_topic_score_gemma":0.0014690567,"teacher_disagreement_score":0.84450144,"about_ca_system_score_codex":0.00015149372,"about_ca_system_score_gemma":0.00013619696,"threshold_uncertainty_score":0.28952578},"labels":[],"label_agreement":null},{"id":"W2901539652","doi":"10.1111/gean.12180","title":"Using Spatial Filters and Exploratory Data Analysis to Enhance Regression Models of Spatial Data","year":2018,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Health Canada; Canadian Blood Services","keywords":"Spatial analysis; Exploratory data analysis; Regression analysis; Econometrics; Autocorrelation; Statistics; Regression; Computer science; Residual; Linear regression; Data mining; Mathematics; Algorithm","score_opus":0.20474879392716142,"score_gpt":0.3008403162003047,"score_spread":0.0960915222731433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901539652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63112736,0.0002531267,0.3674562,0.0000968031,0.000042488984,0.00006262079,0.00082808966,0.0000075965963,0.00012570509],"genre_scores_gemma":[0.99171877,0.00025627867,0.0070523345,0.00008768124,0.00008991173,0.0000036953277,0.0007637272,0.000010690731,0.00001691056],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793535,0.000039945262,0.0006903367,0.0010368428,0.00008168602,0.00021582692],"domain_scores_gemma":[0.997549,0.000037668375,0.00037984908,0.001869857,0.0000228937,0.00014074013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008542109,0.00015855268,0.0006356408,0.0010046473,0.00013364546,0.000045491925,0.00069931307,0.00009795634,0.0004694604],"category_scores_gemma":[0.000050726856,0.00016611347,0.00016299184,0.0015363469,0.00021958606,0.0005529306,0.0009341251,0.0000807915,0.000027377897],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005305482,0.00012159031,0.97582924,0.000013032851,0.004248948,0.0000013934956,0.00026557458,0.014253604,0.00018150407,0.0004750418,0.00008810568,0.004468909],"study_design_scores_gemma":[0.00011869475,0.000040334122,0.17580983,0.000005562277,0.0016034378,2.6146387e-7,0.000050049402,0.8204978,0.00012877268,0.0014272087,0.00011494659,0.00020310868],"about_ca_topic_score_codex":0.0075968807,"about_ca_topic_score_gemma":0.0026213406,"teacher_disagreement_score":0.8062442,"about_ca_system_score_codex":0.000025691612,"about_ca_system_score_gemma":0.0000077124,"threshold_uncertainty_score":0.99901164},"labels":[],"label_agreement":null},{"id":"W2901945993","doi":"10.1111/cjag.12191","title":"Transfers of landowner willingness to accept: A convergent validity and reliability test using choice experiments in two Canadian watersheds","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of New Brunswick; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Willingness to pay; Contingent valuation; Willingness to accept; Econometrics; Equivalence (formal languages); Economics; Reliability (semiconductor); Convergent validity; Marginal utility; Mixed logit; Incentive; Actuarial science; Statistics; Microeconomics; Mathematics; Logistic regression; Psychometrics","score_opus":0.10317306121431169,"score_gpt":0.21738594074856737,"score_spread":0.11421287953425568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901945993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99581593,0.00011458516,0.000019735595,0.0011578124,0.0011203106,0.0003727895,0.0005568077,0.0000029620326,0.00083907956],"genre_scores_gemma":[0.99872047,0.000049328577,0.0003678283,0.0003394902,0.00034863377,0.000010175032,0.000025039,0.000026927357,0.00011212694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972012,0.000030966206,0.0014795557,0.0005049691,0.000009753692,0.0007735548],"domain_scores_gemma":[0.99728245,0.00008374523,0.0005573386,0.00026125676,0.000078862846,0.0017363795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00082044094,0.00030669477,0.0008219139,0.00055055605,0.00017284717,0.000090990434,0.00040465224,0.00013233566,0.0007339684],"category_scores_gemma":[0.00014314559,0.00031897007,0.0001673297,0.00015735737,0.00021425955,0.0006623038,0.000025798388,0.00019993373,0.00005715099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002504427,0.000023651553,0.99042183,0.000024643028,0.000049948863,0.0000068569925,0.0029467572,0.0046475283,0.00010470975,0.001412283,0.00014827569,0.00018848358],"study_design_scores_gemma":[0.001450423,0.00045242242,0.9895349,0.00006469261,0.000026588461,0.000075269345,0.001124519,0.00087988854,0.0007178348,0.0012087799,0.0039177984,0.00054689014],"about_ca_topic_score_codex":0.69923025,"about_ca_topic_score_gemma":0.9713591,"teacher_disagreement_score":0.27212885,"about_ca_system_score_codex":0.003966811,"about_ca_system_score_gemma":0.00040548661,"threshold_uncertainty_score":0.9999262},"labels":[],"label_agreement":null},{"id":"W2901949751","doi":"10.1111/cjag.12189","title":"Evaluating willingness to pay for the temporal distribution of different air quality improvements: Is China's clean air target adequate to ensure welfare maximization?","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Air quality index; Air pollution; Renminbi; Distribution (mathematics); Environmental science; China; Mixed logit; Contingent valuation; Agricultural economics; Economics; Environmental economics; Environmental engineering; Statistics; Logistic regression; Geography; Meteorology; Mathematics; Microeconomics","score_opus":0.07190736412554455,"score_gpt":0.22779495959834006,"score_spread":0.15588759547279551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901949751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97282743,0.00010722212,0.0023718015,0.018531818,0.00202956,0.0009949729,0.0029901648,0.000006621064,0.00014041176],"genre_scores_gemma":[0.99661624,0.000016134938,0.00069073564,0.00096692576,0.00080079417,0.00007535061,0.0002736801,0.000037618644,0.00052253896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966291,0.000039550792,0.0020051221,0.00056953693,0.000019120162,0.0007375508],"domain_scores_gemma":[0.99691266,0.00008130735,0.001371472,0.0004151078,0.00021164816,0.0010078219],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013397187,0.0003707715,0.00084238715,0.00019944161,0.0005364358,0.0000949391,0.0006762999,0.00015096454,0.0005811646],"category_scores_gemma":[0.00022232364,0.00029385297,0.00037488295,0.00016269626,0.00011083357,0.00048501918,0.000057292164,0.00020045637,0.00007152223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005274965,0.00019932327,0.6437727,0.00024286746,0.0017546267,0.000004323929,0.015626976,0.110642955,0.00013053864,0.1928032,0.012658753,0.021636236],"study_design_scores_gemma":[0.000935159,0.0010143671,0.97851306,0.000043258944,0.00005162468,0.000014001443,0.0020634031,0.0013909861,0.0003377825,0.004540901,0.010580414,0.0005150581],"about_ca_topic_score_codex":0.02757666,"about_ca_topic_score_gemma":0.1900521,"teacher_disagreement_score":0.33474034,"about_ca_system_score_codex":0.0025349788,"about_ca_system_score_gemma":0.00016691118,"threshold_uncertainty_score":0.99995136},"labels":[],"label_agreement":null},{"id":"W2902225070","doi":"10.1093/erae/jby043","title":"A global meta-analysis of groundwater quality valuation studies","year":2018,"lang":"en","type":"article","venue":"European Review of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Valuation (finance); Groundwater; Explanatory power; Econometrics; Regression analysis; Willingness to pay; Meta-regression; Confidence interval; Environmental science; Meta-analysis; Agriculture; Environmental economics; Statistics; Environmental resource management; Water resource management; Economics; Mathematics; Geography; Accounting; Engineering","score_opus":0.3775356651584437,"score_gpt":0.3229556039525679,"score_spread":0.05458006120587583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902225070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88844454,0.08137813,0.00026601244,0.00063933793,0.00021871917,0.0003721589,0.00035771236,0.00001618345,0.02830718],"genre_scores_gemma":[0.9695504,0.028285528,0.00081149366,0.0006720999,0.000082758655,0.000011604519,0.00015136818,0.000010445218,0.00042430556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99741644,0.00015644616,0.0018407737,0.0003999106,0.000034207493,0.00015221279],"domain_scores_gemma":[0.9977479,0.000047798916,0.0016872577,0.00037965347,0.00009000505,0.000047381403],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024680486,0.00019635812,0.0016909557,0.000080176076,0.0000519135,0.00001530497,0.0002548481,0.00003113366,0.00095372234],"category_scores_gemma":[0.000101987265,0.00014988918,0.0011629357,0.00030948495,0.00017046153,0.0002839603,0.000118653865,0.000039106588,0.0004905734],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039702383,0.00072794023,0.16460422,0.00451185,0.3887458,7.927747e-7,0.0022198881,0.0035400235,0.000077833,0.4232069,0.008662878,0.0036621545],"study_design_scores_gemma":[0.0002117695,0.00013171401,0.97365594,0.000055478973,0.020039778,0.0000014523584,0.00015998217,0.000070863025,0.000053041927,0.0018748816,0.0034426015,0.00030249465],"about_ca_topic_score_codex":0.00007520194,"about_ca_topic_score_gemma":0.000078772886,"teacher_disagreement_score":0.80905175,"about_ca_system_score_codex":0.00018639087,"about_ca_system_score_gemma":0.000005473438,"threshold_uncertainty_score":0.9999595},"labels":[],"label_agreement":null},{"id":"W2904234999","doi":"10.1093/restud/rdy070","title":"Deforestation in the Amazon: A Unified Framework for Estimation and Policy Analysis","year":2018,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Amazon rainforest; Deforestation (computer science); Incentive; Economics; Counterfactual thinking; Natural resource economics; Land use; Payment; Hectare; Estimation; Agriculture; Agricultural land; Agricultural economics; Public economics; Microeconomics; Finance; Geography","score_opus":0.1524947956154622,"score_gpt":0.3480656760928066,"score_spread":0.1955708804773444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904234999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7700777,0.19000421,0.01435874,0.019978436,0.00023187317,0.0017058427,0.00011870283,0.000011146282,0.003513329],"genre_scores_gemma":[0.91719323,0.07989673,0.0017346728,0.0009160648,0.00009441367,0.000117468335,0.000011956438,0.000005703525,0.00002975489],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991516,0.000029210636,0.00054362207,0.00016500906,0.000011379139,0.00009921245],"domain_scores_gemma":[0.99898386,0.0003504653,0.00041707238,0.0002300126,0.000009057595,0.000009518349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015413275,0.00008239324,0.00039401068,0.000113298964,0.00009257861,0.000012437448,0.00013006252,0.000025023706,0.00003521574],"category_scores_gemma":[0.0003118429,0.000058114234,0.00009478485,0.00015596094,0.0001764206,0.00009155004,0.000033372467,0.000036868863,0.00005310367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008777691,0.00001728531,0.035404388,0.0005488367,0.00043357638,2.694693e-8,0.0026201967,0.00040311457,1.9305574e-7,0.95102996,0.0004482207,0.009085437],"study_design_scores_gemma":[0.00032514503,0.00011947937,0.3070009,0.00041518378,0.00025616944,0.0000012507768,0.001099638,0.01457378,0.0000074285217,0.6733788,0.0026562398,0.00016597046],"about_ca_topic_score_codex":0.000116049094,"about_ca_topic_score_gemma":0.00012061761,"teacher_disagreement_score":0.27765113,"about_ca_system_score_codex":0.0001126671,"about_ca_system_score_gemma":0.000008630528,"threshold_uncertainty_score":0.23698297},"labels":[],"label_agreement":null},{"id":"W2906835765","doi":"10.1016/j.jenvman.2018.11.098","title":"Do the societal benefits of river restoration outweigh their costs? A cost-benefit analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz","keywords":"Cost–benefit analysis; Willingness to pay; Environmental restoration; Investment (military); Government (linguistics); Residence; Business; Natural resource economics; Economics; Environmental resource management; Political science","score_opus":0.052804768920153004,"score_gpt":0.2133809227596451,"score_spread":0.1605761538394921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906835765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990072,0.001211641,0.0022578263,0.00029898566,0.00025698476,0.0002538378,0.00010704576,0.0000030220053,0.005538668],"genre_scores_gemma":[0.99699444,0.0012587082,0.00076286995,0.00018551158,0.00014090161,0.000008134707,0.000013437998,0.000014070205,0.00062195916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986618,0.000020689316,0.00083495904,0.00020995477,0.000107120824,0.00016545459],"domain_scores_gemma":[0.9984879,0.000028441598,0.0011168557,0.0003042473,0.0000072116063,0.000055329358],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079523993,0.0001444786,0.00034124003,0.00021709234,0.00012059463,0.000035087516,0.00029892937,0.000054534477,0.0011847242],"category_scores_gemma":[0.0000050946855,0.00011997459,0.00032417258,0.00016397232,0.00024032604,0.00030133902,0.00013232215,0.00010124323,0.00023220514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015189336,0.00084266823,0.874082,0.000026180765,0.004677139,0.00000414683,0.0038795052,0.0146488175,0.00025862627,0.05794127,0.0018493837,0.04163834],"study_design_scores_gemma":[0.0006854453,0.00023606567,0.98730993,0.00001234963,0.0002516961,0.0000034214968,0.0011818731,0.00095117325,0.00023306614,0.0032953203,0.0056884727,0.00015116602],"about_ca_topic_score_codex":0.00001796922,"about_ca_topic_score_gemma":0.000008578226,"teacher_disagreement_score":0.113227926,"about_ca_system_score_codex":0.00048242242,"about_ca_system_score_gemma":0.000002228209,"threshold_uncertainty_score":0.9997283},"labels":[],"label_agreement":null},{"id":"W2907186477","doi":"10.1177/0022243718817004","title":"Attention, Information Processing, and Choice in Incentive-Aligned Choice Experiments","year":2018,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"Labex Ecodec; Agence Nationale de la Recherche","keywords":"Novelty; Bounded rationality; Preference; Incentive; Consumer choice; Task (project management); Information processing; Computer science; Process (computing); Econometrics; Economics; Microeconomics; Psychology; Cognitive psychology; Social psychology","score_opus":0.14755352749042666,"score_gpt":0.3382531741478377,"score_spread":0.19069964665741101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907186477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99177194,0.0006101721,0.00019419327,0.00032293686,0.00010707532,0.00010310322,0.0000022454426,0.000002486455,0.006885871],"genre_scores_gemma":[0.99894994,0.00018899239,0.00037218185,0.00005194824,0.00016419278,0.000004726021,0.0000020120901,0.000006570371,0.0002594416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987671,0.00013159806,0.0006588296,0.00011467799,0.00010088947,0.00022693124],"domain_scores_gemma":[0.99910897,0.00020939762,0.00044534888,0.00007847894,0.000099919045,0.000057874615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009772183,0.00006137085,0.00015790036,0.00043634535,0.00013354952,0.00011386324,0.0001384256,0.000055133078,0.00023936172],"category_scores_gemma":[0.0014953667,0.00006689521,0.000027673545,0.00018206569,0.00011602153,0.0011243882,0.00008109784,0.00016907098,0.0001058824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075965676,0.000043995962,0.9920108,0.00003052276,0.000009290209,3.8239506e-7,0.000544584,0.0000032147059,0.00013131421,0.00014534485,0.00060892344,0.006395679],"study_design_scores_gemma":[0.0007792314,0.000096711505,0.9848902,0.00008615957,0.0000010621393,0.0000033628912,0.00045870745,0.0012414865,0.00005956847,0.00058765186,0.011729137,0.00006668776],"about_ca_topic_score_codex":0.00011110959,"about_ca_topic_score_gemma":0.00001888807,"teacher_disagreement_score":0.011120213,"about_ca_system_score_codex":0.00027291878,"about_ca_system_score_gemma":0.000025774207,"threshold_uncertainty_score":0.33868635},"labels":[],"label_agreement":null},{"id":"W2907769543","doi":"10.1111/cobi.12886","title":"Assessing the shelf life of cost‐efficient conservation plans for species at risk across gradients of agricultural land use","year":2016,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Network for Innovation in Education; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Ottawa","keywords":"Land use; Agriculture; Agricultural land; Business; Plan (archaeology); Prioritization; Environmental resource management; Natural resource economics; Environmental science; Geography; Economics; Ecology","score_opus":0.16894897815385862,"score_gpt":0.2722552252117246,"score_spread":0.10330624705786601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907769543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98729026,0.00008737613,0.008828917,0.0015817147,0.00026434512,0.00035353593,0.0014916639,0.0000076355045,0.00009455267],"genre_scores_gemma":[0.9988385,0.00013361762,0.00022690563,0.0002446875,0.000033076183,0.000038878243,0.0001809159,0.0000062808667,0.00029713716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901754,0.000038690516,0.00057468424,0.00020241537,0.000017594999,0.0001490624],"domain_scores_gemma":[0.99840045,0.0005490913,0.0008201237,0.00015958173,0.00004453319,0.000026217402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055051775,0.000088213106,0.00023305885,0.000036800822,0.00013546959,0.000018294772,0.000104428866,0.00008753366,0.00006705489],"category_scores_gemma":[0.00047277028,0.000057837202,0.000073262345,0.00006080588,0.00023578193,0.00017780268,0.000046124704,0.000030502699,0.000024819483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019817673,0.000029805242,0.9853924,0.000008333906,0.00003275392,1.0967422e-8,0.00021147613,0.00018278869,0.0022414636,0.011287231,0.0004323255,0.0001616132],"study_design_scores_gemma":[0.00085024844,0.000049473987,0.99104255,0.000009972105,0.000007959839,6.223999e-7,0.0001529072,0.0011330348,0.0012098965,0.0008429611,0.0046168356,0.00008350516],"about_ca_topic_score_codex":0.00029617597,"about_ca_topic_score_gemma":0.00016786974,"teacher_disagreement_score":0.011548241,"about_ca_system_score_codex":0.000099994024,"about_ca_system_score_gemma":0.000010601401,"threshold_uncertainty_score":0.23585325},"labels":[],"label_agreement":null},{"id":"W2908259334","doi":"10.1002/bdm.2115","title":"Less willing to pay but more willing to buy: How the elicitation method impacts the valuation of a promotion","year":2019,"lang":"en","type":"article","venue":"Journal of Behavioral Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Valuation (finance); Willingness to pay; Product (mathematics); Contingent valuation; Promotion (chess); Business; Value (mathematics); Economics; Microeconomics; Marketing; Mathematics; Statistics","score_opus":0.24953057628420264,"score_gpt":0.35777278047272504,"score_spread":0.1082422041885224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908259334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7437873,0.0001031814,0.2537996,0.0014346829,0.00046206548,0.00037137928,0.000010125845,0.000003145869,0.000028539547],"genre_scores_gemma":[0.97370034,0.00003279069,0.025840688,0.00020736357,0.00012311507,0.000008552125,0.000002495943,0.000021733626,0.00006292605],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983852,0.00007335466,0.00094107765,0.00021452823,0.00020493908,0.00018088879],"domain_scores_gemma":[0.99804556,0.00023428153,0.0012767,0.00027124817,0.000106034284,0.00006620141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037678129,0.00013584862,0.00035004865,0.0002969125,0.00013026896,0.00013286075,0.00030443398,0.0000770948,0.000067868576],"category_scores_gemma":[0.00018460647,0.00008774097,0.00018031157,0.00026664825,0.000017926446,0.00053802255,0.00007100114,0.00021110552,0.000058566904],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025878265,0.00022246911,0.31848738,0.000025072717,0.00006129437,0.0000026332355,0.008618061,0.21077813,0.013441869,0.0023234272,0.00027392717,0.44550696],"study_design_scores_gemma":[0.00077894627,0.00080795074,0.9534994,0.0004083836,0.00007527808,0.00003861366,0.004896427,0.025274565,0.001527387,0.011953211,0.0004692133,0.00027065372],"about_ca_topic_score_codex":0.000043321426,"about_ca_topic_score_gemma":0.000013204837,"teacher_disagreement_score":0.635012,"about_ca_system_score_codex":0.00028179996,"about_ca_system_score_gemma":0.000023206285,"threshold_uncertainty_score":0.3577973},"labels":[],"label_agreement":null},{"id":"W2911503379","doi":"10.52324/001c.7989","title":"Economic Impact of a Heritage Policy on Residential Property Values in a Historic District Context: The Case of the Old City of Quebec","year":2018,"lang":"en","type":"article","venue":"Review of Regional Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Landscaping; Context (archaeology); Property value; Estimation; Value (mathematics); Geography; World heritage; Residential property; Regional science; Political science; Archaeology; Economics; Law; Real estate","score_opus":0.13369749904451292,"score_gpt":0.3104232149286111,"score_spread":0.17672571588409816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911503379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9182733,0.0795688,0.000002065476,0.00074952753,0.00007730568,0.0003563308,0.00010037014,0.0000012840911,0.0008710027],"genre_scores_gemma":[0.9506614,0.048785415,0.000009784697,0.0000899226,0.0000636064,0.00001672014,0.0000016841972,0.0000062893073,0.0003651592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988166,0.00005955069,0.0008272262,0.0001668433,0.00003278583,0.000096999735],"domain_scores_gemma":[0.9985154,0.000113449765,0.0010252552,0.00030235236,0.000028675287,0.000014821818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006655665,0.00011139247,0.00063396874,0.000070502814,0.000051507475,0.0000020111581,0.00018733412,0.000029039586,0.000058867856],"category_scores_gemma":[0.00020907172,0.000061903826,0.00030715353,0.00012635795,0.0005222809,0.00006948649,0.000090994115,0.00005509708,0.000009220728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021069132,0.0005126728,0.8433858,0.0052727736,0.0012606008,0.000004883794,0.005507127,0.00017512063,0.000054939897,0.1085258,0.019741198,0.015348377],"study_design_scores_gemma":[0.00074363366,0.00048856536,0.9863638,0.0025416692,0.000055362107,0.000022716793,0.00064372114,0.00009417662,0.00015367065,0.00475367,0.0039401096,0.0001988843],"about_ca_topic_score_codex":0.059205487,"about_ca_topic_score_gemma":0.0062284353,"teacher_disagreement_score":0.142978,"about_ca_system_score_codex":0.00076642755,"about_ca_system_score_gemma":0.00008629255,"threshold_uncertainty_score":0.94705933},"labels":[],"label_agreement":null},{"id":"W2911758368","doi":"10.1002/agr.21604","title":"Chinese consumers’ preferences for quality signals on fresh milk: Brand versus certification","year":2019,"lang":"en","type":"article","venue":"Agribusiness","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Certification; EconLit; Business; Marketing; Advertising; Quality (philosophy); Affect (linguistics); Consumption (sociology); Psychology; Economics; Biology; Sociology; Management","score_opus":0.19380358392133742,"score_gpt":0.2888778020096211,"score_spread":0.09507421808828367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911758368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902675,0.0002512689,0.00091671554,0.0004293038,0.0009835444,0.0005020705,0.0002492714,0.000023256698,0.0063770353],"genre_scores_gemma":[0.99855155,0.00006467852,0.00013613109,0.00013850955,0.00007257022,0.00006918912,0.00028363016,0.00001491304,0.0006688069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989343,0.000015736397,0.0004472617,0.0003921008,0.00003340173,0.00017719921],"domain_scores_gemma":[0.99913293,0.00022668876,0.00030216595,0.0002770853,0.000021012174,0.000040130908],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00045566066,0.00013841748,0.00029129433,0.000069037924,0.0000750959,0.00004894143,0.00014642278,0.000091562164,0.001194618],"category_scores_gemma":[0.00010125629,0.00013674518,0.00007990873,0.00009437462,0.000037408972,0.00024507637,0.000021644053,0.00005464406,0.0018101872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033551196,0.00014314603,0.9767502,0.00007131431,0.00007152861,7.189514e-8,0.00019145886,0.00092309766,0.00070872926,0.018544072,0.0007194423,0.0015414435],"study_design_scores_gemma":[0.0018432545,0.000077166376,0.9856205,0.000009645184,0.000006008401,1.4587621e-7,0.000060639028,0.0006526387,0.00037021952,0.00822901,0.0029052556,0.00022549812],"about_ca_topic_score_codex":0.0002037619,"about_ca_topic_score_gemma":0.000052895306,"teacher_disagreement_score":0.0103150625,"about_ca_system_score_codex":0.00009104689,"about_ca_system_score_gemma":0.000009929522,"threshold_uncertainty_score":0.9997184},"labels":[],"label_agreement":null},{"id":"W2911933693","doi":"10.1086/706548","title":"<i>But What Does It Mean?</i> Competition between Products Carrying Alternative Green Labels When Consumers Are Active Acquirers of Information","year":2019,"lang":"en","type":"article","venue":"Journal of the Association of Environmental and Resource Economists","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Statistics Canada; University of Ottawa","funders":"","keywords":"Presumption; Competition (biology); Business; Microeconomics; Marketing; Willingness to pay; Damages; Public good; Economics; Industrial organization; Ecology","score_opus":0.017967945037938225,"score_gpt":0.175607119618118,"score_spread":0.1576391745801798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911933693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99627036,0.00026036854,0.000009575221,0.0017682513,0.00031004328,0.00022825836,0.00029380748,0.0000017770473,0.00085758965],"genre_scores_gemma":[0.9984344,0.00050674746,0.00006271957,0.00018191512,0.00007087126,0.0000020063253,0.000019933277,0.000009472878,0.0007119247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986628,0.000055841454,0.0009174117,0.00014306491,0.000093317096,0.00012751731],"domain_scores_gemma":[0.9954558,0.00011375782,0.0042216717,0.00014686781,0.00001508356,0.00004682751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075150246,0.00012472447,0.0004424153,0.00010780413,0.00006592732,0.000036545094,0.00018854102,0.000094904535,0.00018474963],"category_scores_gemma":[0.000038274567,0.0001052637,0.00013773813,0.000029227616,0.0000945023,0.0012804256,0.000092243645,0.00013885176,0.000044473123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048823014,0.000057559242,0.9908689,0.00006277111,0.00036512918,1.2991681e-7,0.0052205515,0.0005091119,0.0008988355,0.00032718523,0.000075947246,0.0015650011],"study_design_scores_gemma":[0.0018320542,0.000116703486,0.9706113,0.00013057303,0.0000627643,0.0000038723924,0.008846949,0.000108236076,0.00800625,0.0020928266,0.007989964,0.00019854428],"about_ca_topic_score_codex":0.00005631643,"about_ca_topic_score_gemma":0.000009414614,"teacher_disagreement_score":0.020257693,"about_ca_system_score_codex":0.0006233166,"about_ca_system_score_gemma":0.000010573801,"threshold_uncertainty_score":0.4292529},"labels":[],"label_agreement":null},{"id":"W2912474019","doi":"10.5539/jsd.v12n1p27","title":"Evaluation of Forest Preservation in Cambodian Rural Villages","year":2019,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Socioeconomic status; Socioeconomics; Forest management; Geography; Logging; Household income; Tree planting; Agroforestry; Forestry; Business; Economics; Sociology; Demography; Biology; Archaeology","score_opus":0.054481214979128556,"score_gpt":0.22305049965233026,"score_spread":0.1685692846732017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912474019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355876,0.00060951133,0.00016409183,0.00015213703,0.00013674406,0.0002952964,0.0000010435757,0.0000013857617,0.005081008],"genre_scores_gemma":[0.9984345,0.00006395775,0.0005473835,0.00002408289,0.00002087265,0.000009164631,0.0000057492416,0.00000806999,0.00088622567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987059,0.000027103848,0.00087920116,0.00009173562,0.00013186684,0.00016414041],"domain_scores_gemma":[0.99894094,0.000020621523,0.00075775967,0.00009499774,0.00015297998,0.00003270618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041261967,0.00007336278,0.00024841458,0.00035571711,0.000022994564,0.000017241768,0.00011484098,0.000051516832,0.0004190481],"category_scores_gemma":[0.0001213693,0.000080465376,0.000045019737,0.00012709199,0.000012938889,0.0006446498,0.000035643454,0.00007360976,0.00006039348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015234513,0.00006181311,0.97272915,0.000043584525,0.00003293156,0.000001746983,0.001409456,0.01569732,0.000027740802,0.008895002,0.00007059562,0.0010154204],"study_design_scores_gemma":[0.0011647851,0.000063813706,0.9778224,0.000029647892,0.0000067431943,0.0000025398765,0.0047028065,0.0020428705,0.00021700095,0.012074473,0.0017819323,0.00009095107],"about_ca_topic_score_codex":0.00008688773,"about_ca_topic_score_gemma":0.000025639647,"teacher_disagreement_score":0.013654451,"about_ca_system_score_codex":0.0011423485,"about_ca_system_score_gemma":0.00017513477,"threshold_uncertainty_score":0.4588283},"labels":[],"label_agreement":null},{"id":"W2913920443","doi":"10.1111/cjag.12193","title":"A dynamic analysis of cost‐share agri‐environmental programs","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inefficiency; Payment; Investment (military); Transfer payment; Production (economics); Business; Natural resource economics; Capital (architecture); Economics; Agriculture; Consumption (sociology); Agricultural economics; Microeconomics; Finance; Market economy","score_opus":0.039709829689111305,"score_gpt":0.1574752353277799,"score_spread":0.11776540563866861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913920443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931314,0.0008566234,0.000018270412,0.0005371724,0.0010736325,0.0005256915,0.0013672506,0.000006513572,0.0024834294],"genre_scores_gemma":[0.9974096,0.0001810794,0.00023109945,0.00016194077,0.0000983039,0.000018043003,0.0005448325,0.000036226127,0.001318875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966735,0.000024151537,0.001956411,0.0005663666,0.000012985567,0.00076657714],"domain_scores_gemma":[0.9963405,0.00005639464,0.0021082528,0.00043419437,0.000035544475,0.0010251004],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005739831,0.00037594797,0.0013956631,0.0010036129,0.000110840796,0.00011072543,0.0006693232,0.0002204538,0.0043227826],"category_scores_gemma":[0.000028103308,0.00040080393,0.0008212944,0.0003045508,0.00015123337,0.0008102693,0.00004102484,0.0002876133,0.00059472444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003245851,0.00007738259,0.94679224,0.000048531376,0.0026854062,0.000012490332,0.0015739923,0.029960971,0.0001290753,0.0165626,0.00024767747,0.001877176],"study_design_scores_gemma":[0.0009380709,0.0003691058,0.98426867,0.000037938622,0.00028575063,0.00007622423,0.0017868237,0.0024030686,0.000034300007,0.0014219302,0.007784453,0.0005936689],"about_ca_topic_score_codex":0.010859638,"about_ca_topic_score_gemma":0.25173303,"teacher_disagreement_score":0.24087341,"about_ca_system_score_codex":0.0033658445,"about_ca_system_score_gemma":0.00017320285,"threshold_uncertainty_score":0.9998444},"labels":[],"label_agreement":null},{"id":"W2914842256","doi":"10.1016/j.jmateco.2019.01.003","title":"Adaptive stochastic search","year":2019,"lang":"en","type":"article","venue":"Journal of Mathematical Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Satisficing; Preference; Maximization; Mathematical optimization; Set (abstract data type); Mathematics; Simple (philosophy); Computer science; Mathematical economics; Econometrics; Statistics; Artificial intelligence","score_opus":0.1082013021968553,"score_gpt":0.2259863795796958,"score_spread":0.11778507738284051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914842256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9488072,0.0001857616,0.02892387,0.00030155212,0.00031378787,0.00014281856,0.000015506044,0.0000049306004,0.021304592],"genre_scores_gemma":[0.99490184,0.000053198288,0.003943838,0.00014013083,0.00011245727,0.0000017781604,0.0000011840673,0.000021970709,0.0008235849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986289,0.00000943566,0.0009865314,0.00016035729,0.000027349335,0.00018738717],"domain_scores_gemma":[0.9989595,0.00013591156,0.00058395276,0.00019366041,0.00001654289,0.00011046528],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001000812,0.00011283617,0.00049942767,0.00014358759,0.00002595274,0.0000384957,0.00022051422,0.000079111865,0.0033926854],"category_scores_gemma":[0.000052476524,0.000118553515,0.00018561367,0.000036388188,0.000048744852,0.00035162247,0.00005113977,0.00019160779,0.0070650387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065505235,0.00024994728,0.0117450105,0.000047567362,0.00019419147,0.0000022050642,0.00064810464,0.03839898,0.000026481592,0.9473357,0.00029268084,0.0009936055],"study_design_scores_gemma":[0.0024245877,0.0007388163,0.019155705,0.00007862705,0.000029735509,0.00015893094,0.0010055054,0.12530199,0.00015345532,0.84936213,0.0010752464,0.0005152589],"about_ca_topic_score_codex":0.0000023699756,"about_ca_topic_score_gemma":3.5661813e-7,"teacher_disagreement_score":0.097973585,"about_ca_system_score_codex":0.00025186912,"about_ca_system_score_gemma":0.000025801359,"threshold_uncertainty_score":0.99751836},"labels":[],"label_agreement":null},{"id":"W2915055405","doi":"10.1016/j.prevetmed.2019.02.006","title":"A modified TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) applied to choosing appropriate selection methods in ongoing surveillance for Avian Influenza in Canada","year":2019,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"TOPSIS; Selection (genetic algorithm); Ideal solution; Similarity (geometry); Preference; Sample (material); Computer science; Multiple-criteria decision analysis; Operations research; Data mining; Mathematics; Statistics; Machine learning; Artificial intelligence","score_opus":0.13641813495638708,"score_gpt":0.3157501100789173,"score_spread":0.1793319751225302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915055405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65284204,0.000060435064,0.34465685,0.0001756439,0.00009631024,0.0018807893,0.00006528516,0.000004123368,0.00021850066],"genre_scores_gemma":[0.9534694,0.000011352303,0.045266856,0.0002233735,0.000018673292,0.0009019624,0.000034785604,0.000016208101,0.000057388614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861854,0.000051520845,0.00065603276,0.0004023261,0.000033076783,0.00023848253],"domain_scores_gemma":[0.99937946,0.00016295454,0.00023946565,0.0001407513,0.00002150496,0.00005585317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016215361,0.00013175391,0.0004606358,0.00018835092,0.00002917428,0.0000043093382,0.000118780474,0.000061235485,0.000052306703],"category_scores_gemma":[0.00016572306,0.0001568693,0.000028499464,0.00024457896,0.000014100023,0.00009034015,0.000055280358,0.00008367602,0.0000026797727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017931467,0.0002740453,0.7094535,0.0009407975,0.000111229354,5.2488514e-7,0.0027002767,0.032926727,0.22191024,0.0029155966,0.00036245692,0.02661142],"study_design_scores_gemma":[0.003863457,0.0012456956,0.9538137,0.0002532367,0.000009177904,0.000001970502,0.00027168434,0.021407036,0.007109802,0.00916942,0.0023190284,0.000535796],"about_ca_topic_score_codex":0.0977398,"about_ca_topic_score_gemma":0.037334487,"teacher_disagreement_score":0.30062735,"about_ca_system_score_codex":0.0008419385,"about_ca_system_score_gemma":0.0000587588,"threshold_uncertainty_score":0.98023164},"labels":[],"label_agreement":null},{"id":"W2918686556","doi":"10.1111/risa.13290","title":"Farmers’ Risk‐Based Decision Making Under Pervasive Uncertainty: Cognitive Thresholds and Hazy Hedging","year":2019,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; International Development Research Centre","keywords":"Rationality; Climate change; Bounded rationality; Risk management; Scenario planning; Conjoint analysis; Environmental resource management; Risk analysis (engineering); Business; Economics; Marketing; Preference; Microeconomics; Ecology","score_opus":0.040701814026726756,"score_gpt":0.23802697543901677,"score_spread":0.19732516141229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918686556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9338308,0.0010936493,0.062141586,0.000051270395,0.000077976045,0.00016152704,0.00019381424,0.000016925465,0.0024324576],"genre_scores_gemma":[0.9978372,0.0007621101,0.0009478068,0.00019790033,0.000027978123,0.000011516213,0.000065246495,0.000019911293,0.00013036834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986516,0.000038243455,0.00044541672,0.0005818339,0.000050979565,0.00023189452],"domain_scores_gemma":[0.9988272,0.00030989095,0.00051944784,0.00026383306,0.00001555932,0.00006407796],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006942716,0.00017304366,0.00047371612,0.00043895442,0.00019708599,0.00008566028,0.0001010152,0.000100331636,0.001820452],"category_scores_gemma":[0.0000844485,0.00019255209,0.00027247888,0.00037724007,0.00006159797,0.0002045461,0.00006203718,0.00016170669,0.0009434731],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021110061,0.00002458147,0.8936058,0.0000037693299,0.00054711604,6.3632314e-7,0.00023921013,0.100703895,0.0000021900419,0.00083263696,0.000011655134,0.0040073623],"study_design_scores_gemma":[0.00061893935,0.00002933757,0.7184097,0.00001584737,0.00044776354,4.4076828e-7,0.0010814245,0.27161646,0.000006753159,0.0074781496,0.000077843724,0.00021734649],"about_ca_topic_score_codex":0.0007632361,"about_ca_topic_score_gemma":0.0002140939,"teacher_disagreement_score":0.17519614,"about_ca_system_score_codex":0.00018884659,"about_ca_system_score_gemma":0.000009505075,"threshold_uncertainty_score":0.9998344},"labels":[],"label_agreement":null},{"id":"W2922290311","doi":"10.1108/ijhma-11-2018-0087","title":"The application of multi-attribute utility theory for a market share-based design evaluation","year":2019,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Profit (economics); Market share; Corporation; Marketing; Unit (ring theory); Business; Operations research; Industrial organization; Microeconomics; Economics; Environmental economics; Computer science; Mathematics; Finance","score_opus":0.08247625611135086,"score_gpt":0.27453734021053233,"score_spread":0.1920610840991815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922290311","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37321228,0.00096943695,0.6248742,0.0002916888,0.00016095319,0.0002093402,0.00006867645,0.0000020082325,0.00021146222],"genre_scores_gemma":[0.9964994,0.00015038763,0.0031436374,0.000040359308,0.00003278642,0.000009828052,0.0000189854,0.000006552635,0.00009804231],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989973,0.000079312966,0.0006088341,0.00014266581,0.00009559431,0.00007630258],"domain_scores_gemma":[0.9982892,0.00042107943,0.0009801066,0.000121809,0.00016217252,0.000025604837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049669943,0.00007067922,0.00022944777,0.00027165943,0.00005877205,0.00005620866,0.0001804606,0.000037358164,0.00038328432],"category_scores_gemma":[0.00020815006,0.00005988158,0.00021103765,0.00011673007,0.000041801035,0.00014873694,0.000019951049,0.000047640144,0.0000042336214],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043799434,0.00018733145,0.92134047,0.000017535373,0.0021928358,3.3404075e-7,0.00011716443,0.017340759,0.00016366754,0.002761263,0.0002211471,0.05521952],"study_design_scores_gemma":[0.0008156434,0.00003054551,0.31476113,0.000008629987,0.00017138656,9.005306e-7,0.000049250822,0.6801648,0.00008107132,0.0031146223,0.0007433327,0.00005867857],"about_ca_topic_score_codex":0.000011063256,"about_ca_topic_score_gemma":0.0000034194156,"teacher_disagreement_score":0.66282403,"about_ca_system_score_codex":0.00010505972,"about_ca_system_score_gemma":0.000016826181,"threshold_uncertainty_score":0.41966945},"labels":[],"label_agreement":null},{"id":"W2922340934","doi":"","title":"Park Staff Members’ Perceptions of Governance: A Comparison between Private Sector and Parastatal Management","year":2011,"lang":"en","type":"article","venue":"Journal of Park and Recreation Administration","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Accountability; Corporate governance; Visitor pattern; Recreation; Equity (law); Business; Transparency (behavior); Public relations; Agency (philosophy); Finance; Public administration; Political science; Sociology","score_opus":0.10085031165514845,"score_gpt":0.26104742283985743,"score_spread":0.16019711118470897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922340934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990579,0.00030778276,0.004682124,0.00007844575,0.00008452422,0.0001226973,0.000043834225,0.000003112312,0.0040984545],"genre_scores_gemma":[0.99311745,0.0015250053,0.0051114676,0.000009063249,0.000052497802,0.0000034607729,0.000022100096,0.0000066503812,0.00015228221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990158,0.000019818826,0.0007162609,0.00012518303,0.00004593267,0.00007701355],"domain_scores_gemma":[0.9988929,0.00002073281,0.0009300868,0.00007229061,0.000015016205,0.00006894295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037209346,0.00008334778,0.00025264578,0.00007359909,0.000057483277,0.000022112688,0.00004712094,0.000052453677,0.00030235082],"category_scores_gemma":[0.000010619493,0.000085896114,0.000045697292,0.00004678913,0.000062747866,0.00030595134,0.000014866175,0.00007001677,0.000008252747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074397496,0.00013705193,0.976624,0.00004583621,0.00010756073,0.0000012794246,0.0015238714,0.000019711204,0.000065574786,0.0169119,0.00015211516,0.0043366957],"study_design_scores_gemma":[0.0005743684,0.00043278758,0.9936313,0.000032275057,0.000048277652,0.000009879524,0.0008985141,0.00027942343,0.00029923738,0.0026649446,0.0010366323,0.000092328046],"about_ca_topic_score_codex":0.000017249042,"about_ca_topic_score_gemma":0.00001021973,"teacher_disagreement_score":0.017007327,"about_ca_system_score_codex":0.000052107393,"about_ca_system_score_gemma":0.000009362134,"threshold_uncertainty_score":0.3502742},"labels":[],"label_agreement":null},{"id":"W2925315688","doi":"10.22004/ag.econ.274015","title":"Is there really a difference between “contingent valuation” and “choice experiments”? Evidence from an induced-value experiment","year":2018,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta; National Science Foundation","keywords":"Economics; Valuation (finance); Contingent valuation; Value (mathematics); Econometrics; Actuarial science; Microeconomics; Willingness to pay; Statistics; Mathematics; Accounting","score_opus":0.2607720632947939,"score_gpt":0.3013133059931871,"score_spread":0.04054124269839321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2925315688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950004,0.0006211608,0.0016107269,0.00078894076,0.000072707444,0.00032036364,0.00009338914,0.000014350736,0.0014779591],"genre_scores_gemma":[0.9967933,0.00037448856,0.0019048963,0.00012095529,0.00010152299,0.000002943599,0.000028302793,0.000015093224,0.00065845984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986063,0.00008317179,0.00031374113,0.00062148,0.000107477164,0.00026782305],"domain_scores_gemma":[0.998922,0.00015096462,0.00027397895,0.00042824235,0.000043949716,0.0001808452],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005559313,0.00016636895,0.00034961588,0.00013858061,0.00024991634,0.000052680418,0.0003720562,0.000124141,0.0034792377],"category_scores_gemma":[0.000036688936,0.0002243066,0.00006990047,0.000095222334,0.00024560557,0.00085475587,0.00023450122,0.00012070046,0.0006283836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002088077,0.00009528106,0.9700093,0.0000130616145,0.00010473451,0.0000013380069,0.0147099905,0.0000029758035,0.005807814,0.0006324182,0.00021684871,0.008385302],"study_design_scores_gemma":[0.0006274621,0.00035608845,0.98777527,0.000046584086,0.000016856613,3.203974e-7,0.003049154,0.0021302067,0.0042905426,0.0010993333,0.0003774045,0.00023079896],"about_ca_topic_score_codex":0.018949965,"about_ca_topic_score_gemma":0.00033286327,"teacher_disagreement_score":0.018617103,"about_ca_system_score_codex":0.00018256695,"about_ca_system_score_gemma":0.000027336111,"threshold_uncertainty_score":0.9974317},"labels":[],"label_agreement":null},{"id":"W2932534886","doi":"10.1016/j.jenvman.2019.03.078","title":"Public preferences for co-benefits of riparian buffer strips in Denmark: An economic valuation study","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Region Sjælland; Strategic Innovation Fund; Innovationsfonden","keywords":"Buffer strip; Riparian buffer; Riparian zone; Valuation (finance); Recreation; Buffer zone; Welfare; Buffer (optical fiber); Business; STRIPS; Cost–benefit analysis; Natural resource economics; Environmental resource management; Environmental science; Water quality; Ecology; Computer science; Economics; Biology","score_opus":0.1581001575587311,"score_gpt":0.2429863266673046,"score_spread":0.0848861691085735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2932534886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99475306,0.00028140485,0.0002479603,0.00005383215,0.00031255098,0.00093510345,0.00007907508,0.0000019564493,0.0033350696],"genre_scores_gemma":[0.9986169,0.0003012513,0.0005788907,0.000033172404,0.000050129285,0.00003077164,0.000024292422,0.00001813654,0.00034647866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982795,0.000050131486,0.0011190284,0.0002827927,0.00007937841,0.00018914812],"domain_scores_gemma":[0.9986786,0.00003952512,0.0009755798,0.00023834531,0.0000029892758,0.00006491204],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017379138,0.00014469131,0.000404441,0.0003455943,0.000037909773,0.00003828697,0.00027485372,0.00005412781,0.0014840662],"category_scores_gemma":[0.0000069446933,0.00016194889,0.00010618609,0.00003682619,0.000030754363,0.0007244103,0.00006190904,0.00009798419,0.00025662137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067403205,0.00097179046,0.97997856,0.000023835277,0.00014842057,5.178755e-7,0.00039973768,0.008168137,0.00004623936,0.0058729746,0.000045611807,0.004276778],"study_design_scores_gemma":[0.0028751115,0.0010153941,0.9875208,0.00001300961,0.00002646708,0.0000013767391,0.0021861985,0.0013141235,0.00006011496,0.004236316,0.0005891113,0.0001619392],"about_ca_topic_score_codex":0.000020402993,"about_ca_topic_score_gemma":0.000028539234,"teacher_disagreement_score":0.0075422833,"about_ca_system_score_codex":0.00055803003,"about_ca_system_score_gemma":0.0000074226427,"threshold_uncertainty_score":0.9994287},"labels":[],"label_agreement":null},{"id":"W2934485101","doi":"10.1007/s40881-019-00062-4","title":"Estimating the dynamic role of attention via random utility","year":2019,"lang":"en","type":"article","venue":"Journal of the Economic Science Association","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Econometrics; Sampling (signal processing); Computation; Fraction (chemistry); Process (computing); Discrete choice; Estimation; Regression; Unbiased Estimation; Machine learning; Statistics; Mathematics; Algorithm; Economics","score_opus":0.020398679356594528,"score_gpt":0.21730948212018017,"score_spread":0.19691080276358564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2934485101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99432176,0.00012140763,0.0007089463,0.00066861196,0.0017294501,0.00015599963,0.000009420411,0.000002172578,0.002282253],"genre_scores_gemma":[0.99926686,0.000014283982,0.0002916753,0.000048138583,0.000066359156,0.0000014677124,6.2420037e-7,0.000005048162,0.00030553655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988001,0.00003443533,0.0007949771,0.00014497853,0.00007758651,0.00014792311],"domain_scores_gemma":[0.9967585,0.000110114706,0.002852412,0.00022485666,0.000028877026,0.000025236724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056956005,0.000066612105,0.00024060922,0.00008952273,0.00015206065,0.000053604716,0.000493375,0.000044482404,0.00020866601],"category_scores_gemma":[0.00022197567,0.000050026993,0.00018327024,0.00010526695,0.0000887139,0.00069370674,0.00007068611,0.00012744246,0.0002439243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010251749,0.000017330389,0.9785821,0.0000032017285,0.00003032624,1.0919437e-8,0.000268336,0.016948657,0.0017320464,0.0011160589,0.000042211508,0.0012495093],"study_design_scores_gemma":[0.00046309008,0.000020606973,0.72212595,0.000008517479,0.000008913643,0.0000023494172,0.00012262395,0.25925836,0.00025303048,0.017602563,0.00008609066,0.0000478995],"about_ca_topic_score_codex":0.000061553794,"about_ca_topic_score_gemma":0.0000098292685,"teacher_disagreement_score":0.2564561,"about_ca_system_score_codex":0.0016017132,"about_ca_system_score_gemma":0.000069181646,"threshold_uncertainty_score":0.41884243},"labels":[],"label_agreement":null},{"id":"W2935956843","doi":"10.1177/0272989x19841592","title":"Latent Class Models Reveal Poor Agreement between Discrete-Choice and Time Tradeoff Preferences","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Impact; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Hospital for Sick Children; Public Health Ontario","funders":"Canadian Institutes of Health Research; EuroQol Research Foundation","keywords":"Latent class model; Anxiety; Time-trade-off; Psychology; Correlation; Multivariate statistics; Econometrics; Discrete choice; EQ-5D; Statistics; Medicine; Mathematics; Quality of life (healthcare); Psychiatry; Health related quality of life","score_opus":0.11032512056057094,"score_gpt":0.2653933828694856,"score_spread":0.15506826230891468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935956843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736552,0.00049254985,0.0117487395,0.00071118266,0.00021765062,0.00024035577,0.00004129268,0.000017904695,0.012875127],"genre_scores_gemma":[0.99695003,0.00012812058,0.0013639122,0.00040017188,0.00011615082,0.000010026125,0.000021067917,0.000015297033,0.0009952048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984008,0.000024466784,0.0006735934,0.00048545914,0.00016759505,0.00024808632],"domain_scores_gemma":[0.99906176,0.00034376653,0.00021795099,0.00021710426,0.000004882015,0.00015456046],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000995403,0.00014607032,0.00038281688,0.000098874334,0.00007236114,0.00005942095,0.0002310318,0.00016387411,0.0043337373],"category_scores_gemma":[0.00012996826,0.00013871124,0.00007132074,0.000063502834,0.0000560172,0.00028216085,0.00017238889,0.00018299841,0.0023031905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017325177,0.000049374234,0.8858201,0.000026056125,0.00005576171,0.0000019534089,0.0002027954,0.0007304655,0.0000108747745,0.011187401,0.0011936761,0.1007042],"study_design_scores_gemma":[0.0009489048,0.00014909961,0.77229315,0.00017933708,0.000012746923,0.0000028209308,0.00003143816,0.10895226,0.0000060531474,0.11267495,0.004442326,0.00030692227],"about_ca_topic_score_codex":0.00003141708,"about_ca_topic_score_gemma":0.0000050950207,"teacher_disagreement_score":0.11352698,"about_ca_system_score_codex":0.0001075402,"about_ca_system_score_gemma":0.0000110819565,"threshold_uncertainty_score":0.99847364},"labels":[],"label_agreement":null},{"id":"W2937132135","doi":"10.26686/wgtn.17135945.v1","title":"Perception of tools for assessing on-farm nutrient losses and mitigation options","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Greater Wellington Regional Council; University of Victoria; Callaghan Innovation","keywords":"Sustainability; Stakeholder; Environmental planning; Agriculture; Business; Water quality; Environmental resource management; Quality (philosophy); Perception; Incentive; Environmental economics; Environmental science; Political science; Geography; Psychology; Economics; Public relations; Ecology","score_opus":0.09824443526047606,"score_gpt":0.2780149967945374,"score_spread":0.17977056153406135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937132135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97121495,0.00023530156,0.0043130587,0.000055167537,0.00047095236,0.0004918278,0.0001968449,0.000014580738,0.023007318],"genre_scores_gemma":[0.9860352,0.0006427564,0.005860172,0.00006394952,0.00016212692,0.00012147212,0.0027247188,0.000032727454,0.004356857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99889416,0.000006907136,0.00057917,0.00036915744,0.000028780723,0.00012185754],"domain_scores_gemma":[0.9991569,0.00007566645,0.0005442599,0.00015806271,0.000029363866,0.00003574622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029861627,0.00015549858,0.00031260744,0.00018189166,0.00011702001,0.0001104119,0.00006523254,0.0002029243,0.00040216141],"category_scores_gemma":[0.000079388425,0.00018581517,0.000103003746,0.000044963017,0.000045872766,0.0002681085,0.000008866069,0.00006550195,0.00010786688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016906137,0.0006047732,0.045793638,0.0010160138,0.00025683193,2.0610777e-7,0.0031000555,0.0001851056,0.0020272047,0.85719085,0.0014546413,0.0882016],"study_design_scores_gemma":[0.0015255223,0.00051392853,0.8920696,0.0002758712,0.00008500375,0.0000014301484,0.009490439,0.004313272,0.0024646902,0.0806808,0.007803511,0.00077593926],"about_ca_topic_score_codex":0.00004383112,"about_ca_topic_score_gemma":0.000036663077,"teacher_disagreement_score":0.846276,"about_ca_system_score_codex":0.00014835819,"about_ca_system_score_gemma":0.000014765823,"threshold_uncertainty_score":0.7577323},"labels":[],"label_agreement":null},{"id":"W2937787896","doi":"10.1016/j.jenvman.2019.04.007","title":"Willingness to pay for protection from storm surge damages under climate change in Halifax Regional Municipality","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick; St. Francis Xavier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Willingness to pay; Damages; Climate change; Contingent valuation; Storm surge; Tobit model; Payment card; Flooding (psychology); Geography; Storm; Economics; Payment; Political science; Meteorology","score_opus":0.12489200674579205,"score_gpt":0.23922898940637957,"score_spread":0.11433698266058752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937787896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99522096,0.00030003474,0.0016936477,0.0008784308,0.00046427024,0.0008766294,0.00015194497,0.00000398492,0.000410123],"genre_scores_gemma":[0.99714017,0.0007758542,0.0010132198,0.00055332616,0.00012256492,0.00008048126,0.000031332864,0.0000223004,0.00026076075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873096,0.000021394102,0.0006855829,0.00027013698,0.00007165508,0.00022024734],"domain_scores_gemma":[0.99919945,0.00002458169,0.00050066586,0.00020480603,0.0000019985525,0.000068505484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081194274,0.00013709538,0.0003099696,0.00016635499,0.000046254303,0.000026604619,0.0001687991,0.00005844674,0.0005835464],"category_scores_gemma":[0.0000032007504,0.000138469,0.0001244083,0.00005654419,0.000019449617,0.00038182587,0.00010265627,0.00011015901,0.00030521688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019370843,0.00042701053,0.97954285,0.00005503831,0.00011632286,0.000003843969,0.0006866353,0.003938451,0.00022781934,0.007914707,0.00011143952,0.0067821788],"study_design_scores_gemma":[0.0012305208,0.00017099305,0.98151267,0.000047675087,0.0000135449445,0.0000014052957,0.0006185338,0.0008305698,0.00003893154,0.004218467,0.011136631,0.00018007771],"about_ca_topic_score_codex":0.00027127282,"about_ca_topic_score_gemma":0.00006280527,"teacher_disagreement_score":0.011025191,"about_ca_system_score_codex":0.0006510959,"about_ca_system_score_gemma":0.0000016585649,"threshold_uncertainty_score":0.6389424},"labels":[],"label_agreement":null},{"id":"W2943660488","doi":"10.1080/23308249.2019.1583166","title":"Catch and Non-catch-related Determinants of Where Anglers Fish: A Review of Three Decades of Site Choice Research in Recreational Fisheries","year":2019,"lang":"en","type":"review","venue":"Reviews in Fisheries Science & Aquaculture","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Environment; Ministry of Natural Resources and Forestry","funders":"","keywords":"Fishing; Recreational fishing; Recreation; Comparability; Fishery; TRIPS architecture; Quality (philosophy); Preference; Scope (computer science); Scale (ratio); Catch and release; Geography; Revealed preference; Business; Environmental resource management; Transport engineering; Economics; Ecology; Computer science; Econometrics; Engineering","score_opus":0.3085824919152714,"score_gpt":0.3608409313087389,"score_spread":0.052258439393467526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943660488","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013480793,0.9814408,0.0000016049684,0.00013112155,0.000117167256,0.002015571,0.00025762542,0.0000030143174,0.0025523333],"genre_scores_gemma":[0.0007433219,0.99819916,0.0004524068,0.000034243763,0.00001742087,0.00017344857,0.00006718772,0.000026179625,0.00028662934],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99517745,0.00017548435,0.0031386272,0.0008705797,0.00021663649,0.00042121962],"domain_scores_gemma":[0.99653214,0.00026106293,0.0023511504,0.0006908207,0.00008429383,0.00008051941],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005962628,0.00038901548,0.0035793171,0.0005208641,0.00007328188,0.000038319504,0.0008249181,0.00036937743,0.0003170228],"category_scores_gemma":[0.0008152172,0.00033966283,0.0003284744,0.0020883682,0.0012706856,0.00079541694,0.00024527562,0.0005293881,0.00004901312],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072781245,0.0001423858,0.5060191,0.19052735,0.000034613146,0.0000013519347,0.001170901,0.0000023166867,0.000007563867,0.00048213254,0.0013618959,0.3002431],"study_design_scores_gemma":[0.00030736724,0.00013357423,0.055665497,0.17643838,0.00007365047,0.0000091023585,0.00010375205,0.00003160478,0.000008220954,0.0004500026,0.7662992,0.0004796492],"about_ca_topic_score_codex":0.0008797037,"about_ca_topic_score_gemma":0.0016949448,"teacher_disagreement_score":0.7649373,"about_ca_system_score_codex":0.00039214766,"about_ca_system_score_gemma":0.00023425322,"threshold_uncertainty_score":0.9999055},"labels":[],"label_agreement":null},{"id":"W2944116748","doi":"10.1016/j.jcjd.2019.04.014","title":"Capturing Adult Patient Preferences Toward Benefits and Risks of Second-Line Antihyperglycemic Medications Used in Type 2 Diabetes: A Discrete Choice Experiment","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo; Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research; Newfoundland and Labrador Centre for Applied Health Research; Diabetes Canada","keywords":"Medicine; Multinomial logistic regression; Glycated hemoglobin; Willingness to pay; Diabetes mellitus; Hypoglycemia; Logistic regression; Type 2 diabetes; Relative risk; Demography; Internal medicine; Confidence interval; Statistics","score_opus":0.08407385901344025,"score_gpt":0.23314034697445588,"score_spread":0.14906648796101563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944116748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98995143,0.008972813,0.0000012300821,0.00019672664,0.00028971562,0.00012732593,0.00010159403,0.000001478376,0.0003576613],"genre_scores_gemma":[0.9995445,0.00019120486,0.000095425465,0.00009378436,0.000031359436,0.000004999717,0.000011615029,0.0000114246195,0.00001569401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989547,0.0000149227135,0.00062308245,0.00015896774,0.0000341457,0.00021415687],"domain_scores_gemma":[0.9991358,0.000057773057,0.000464662,0.000121336896,0.000026690546,0.00019371978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021369188,0.000102587415,0.00034055082,0.000278996,0.00002800166,0.000022838367,0.00013134067,0.00006555565,0.00055804703],"category_scores_gemma":[0.000066788154,0.00010815493,0.00004740361,0.00008750053,0.00005953995,0.00022938906,0.000016292894,0.00011832712,0.00002324593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001253263,0.000012243054,0.99683505,0.000026121625,0.000043083422,1.3474028e-7,0.0012588509,0.0004315754,0.0001449094,0.0003609354,0.000018122688,0.00086770335],"study_design_scores_gemma":[0.00065300387,0.0003319436,0.99495727,0.00015910523,0.000011457164,3.119092e-7,0.0006286203,0.0007008548,0.0014453825,0.00068635034,0.00026902623,0.00015667012],"about_ca_topic_score_codex":0.0010451588,"about_ca_topic_score_gemma":0.0035026476,"teacher_disagreement_score":0.009593038,"about_ca_system_score_codex":0.00014589053,"about_ca_system_score_gemma":0.000078168065,"threshold_uncertainty_score":0.61102235},"labels":[],"label_agreement":null},{"id":"W2944260410","doi":"10.1177/2380084419849870","title":"Willingness to Pay for Mandibular Overdentures: A Societal Perspective","year":2019,"lang":"en","type":"article","venue":"JDR Clinical & Translational Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Université de Montréal; McGill University","funders":"National Oceanic and Atmospheric Administration; Réseau de Recherche en Santé Buccodentaire et Osseuse; Faculty of Dentistry, McGill University","keywords":"Willingness to pay; Payment; Contingent valuation; Telephone interview; Business; Reimbursement; Dentures; Dental insurance; Valuation (finance); Actuarial science; Dental care; Medicine; Dentistry; Health care; Economics; Finance","score_opus":0.43321095825635797,"score_gpt":0.45728209805183473,"score_spread":0.02407113979547676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944260410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95015925,0.00057834794,0.018025005,0.012348346,0.00063766114,0.0017335257,0.0004056089,0.000023376528,0.016088868],"genre_scores_gemma":[0.9914031,0.00011138342,0.0025382896,0.00044717046,0.00037944235,0.00011271355,0.000067731926,0.000026840287,0.004913311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981206,0.000054248238,0.00068443705,0.0006286679,0.00015081014,0.00036123002],"domain_scores_gemma":[0.99845153,0.0009873207,0.000090925605,0.00023661435,0.000080987986,0.00015259221],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0037298596,0.0001084418,0.00031489893,0.000105794075,0.00015231711,0.0000608357,0.00023557506,0.00016888011,0.0018407422],"category_scores_gemma":[0.00032749103,0.00010698888,0.00028907295,0.00015195568,0.00008974775,0.0001834076,0.000040620947,0.00035817586,0.0041375277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018840985,0.00022977506,0.6202495,0.000025538902,0.00009761118,4.171342e-7,0.0006417432,0.000979001,0.000026570568,0.37455994,0.0019538968,0.0010475658],"study_design_scores_gemma":[0.001530148,0.00034656818,0.7219744,0.000012629872,0.0000045455818,4.3498164e-7,0.00023588956,0.006088701,0.000010326253,0.20685141,0.06275377,0.00019120677],"about_ca_topic_score_codex":0.000066947345,"about_ca_topic_score_gemma":0.000018209503,"teacher_disagreement_score":0.16770853,"about_ca_system_score_codex":0.0001938746,"about_ca_system_score_gemma":0.00006192803,"threshold_uncertainty_score":0.9990717},"labels":[],"label_agreement":null},{"id":"W2944888277","doi":"10.5539/ijms.v11n2p1","title":"Dynamic Attribute-Level Best Worst Discrete Choice Experiments","year":2019,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Decision maker; Discrete choice; Function (biology); Operations research; Markov decision process; Mathematical optimization; Management science; Econometrics; Markov process; Economics; Mathematics; Machine learning; Statistics","score_opus":0.14722324413137056,"score_gpt":0.3145584795567004,"score_spread":0.16733523542532985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944888277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877092,0.004822187,0.00037466505,0.0011213047,0.0025498527,0.000071537856,0.000054549426,0.0000049086466,0.0032917948],"genre_scores_gemma":[0.99396616,0.0015986053,0.0011173708,0.00014918706,0.0001668267,0.0000035891624,0.000007021452,0.000014248431,0.002976974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883306,0.00003572158,0.00072331284,0.00017293773,0.0000975748,0.00013741503],"domain_scores_gemma":[0.99865264,0.0003116177,0.0008276502,0.00009725466,0.00007578891,0.00003503506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015623564,0.00011547343,0.00030383273,0.00015830396,0.000049244885,0.000046143796,0.00030513635,0.00003632541,0.00046741197],"category_scores_gemma":[0.00057393167,0.00011840536,0.00013597173,0.000037908645,0.00004370523,0.0003360313,0.00013657387,0.00012210124,0.00048614736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089057896,0.00007079019,0.99543077,0.000013182355,0.00072699937,0.000004848111,0.0004216086,0.00046127092,0.00010298608,0.00046043567,0.0008959996,0.0013220278],"study_design_scores_gemma":[0.0012602133,0.00008678147,0.9821646,0.00017957407,0.000013917323,0.000021571188,0.0014518313,0.00048908225,0.00006296984,0.0007834065,0.013280084,0.00020591955],"about_ca_topic_score_codex":0.000019467872,"about_ca_topic_score_gemma":0.000006038972,"teacher_disagreement_score":0.013266144,"about_ca_system_score_codex":0.00042685147,"about_ca_system_score_gemma":0.000008575829,"threshold_uncertainty_score":0.6248603},"labels":[],"label_agreement":null},{"id":"W2945212258","doi":"10.1016/j.trf.2019.05.009","title":"Frequent versus occasional drivers: A hybrid route choice model","year":2019,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Toronto Metropolitan University","funders":"Polytechnique Montréal","keywords":"Latent variable; Latent class model; Population; Sample (material); Discrete choice; Logistic regression; Econometrics; Market segmentation; Computer science; Perception; Mixed logit; Travel behavior; Logit; Psychology; Artificial intelligence; Machine learning; Mathematics; Demography; Economics; Microeconomics","score_opus":0.27483628326502135,"score_gpt":0.3595903211856287,"score_spread":0.08475403792060737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945212258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99523604,0.00030329643,0.00028009465,0.0006702003,0.00044936195,0.00034615802,0.0003362964,0.00003297546,0.002345607],"genre_scores_gemma":[0.9973422,0.00048480585,0.00027743692,0.00015105864,0.000046827718,0.00006062631,0.00034831115,0.000018461898,0.0012702545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849784,0.00003374144,0.00043675036,0.0005834596,0.00008680281,0.00036142793],"domain_scores_gemma":[0.99942154,0.000072951465,0.00010950206,0.00024450658,0.000021797097,0.00012970441],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006821555,0.00013479896,0.00023256402,0.00019067668,0.00014308505,0.00002598894,0.0001571347,0.0001292408,0.0016390882],"category_scores_gemma":[0.0000092437385,0.00016122138,0.000077078665,0.00009531804,0.0001581701,0.00026872847,0.000007589062,0.0003363717,0.001290821],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001790129,0.0003407446,0.9715175,0.000017530709,0.000054620235,0.0000090069925,0.0004715037,0.0071426504,0.00007553523,0.015255428,0.003339891,0.0015965886],"study_design_scores_gemma":[0.0029335846,0.00022022527,0.98173153,0.000010949501,0.000011559059,0.0000017576082,0.000101782556,0.007346552,0.000014850575,0.0012978382,0.0061112037,0.00021815351],"about_ca_topic_score_codex":0.00007512876,"about_ca_topic_score_gemma":0.00013450117,"teacher_disagreement_score":0.01395759,"about_ca_system_score_codex":0.00007156211,"about_ca_system_score_gemma":0.000021022799,"threshold_uncertainty_score":0.9994868},"labels":[],"label_agreement":null},{"id":"W2946935023","doi":"","title":"Failing to See the Wood for The Trees? A Critical Analysis of Australia’s Tax Provisions for Land and Forest Conservation","year":2018,"lang":"en","type":"article","venue":"ePublications@SCU (Southern Cross University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Natural resource economics; Easement; Economics; Tax reform; Tax incentive; Business; Public economics; Political science; Market economy","score_opus":0.12702162324919933,"score_gpt":0.28050910607937557,"score_spread":0.15348748283017624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946935023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8840878,0.000027407004,0.10648849,0.006880203,0.000050318977,0.00061252137,0.0014807594,0.000010908727,0.00036159932],"genre_scores_gemma":[0.99445784,0.0000058276155,0.0012098951,0.00015316533,0.00004717137,0.00002802015,0.00006063491,0.000008409422,0.004029019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993296,0.00001214651,0.00024283025,0.00025082752,0.000023779552,0.00014079697],"domain_scores_gemma":[0.9989902,0.00041961,0.00016558546,0.000288809,0.000091261994,0.000044568278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045774993,0.000076255,0.00015661755,0.00023613668,0.0004807165,0.000100213,0.00022171084,0.00005614334,0.00010016358],"category_scores_gemma":[0.0002915541,0.000065319146,0.00011168366,0.00043265417,0.00027428748,0.00019554816,0.000051926447,0.000039212187,0.00003629274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043242828,0.00004966707,0.76808953,0.0000093757935,0.00026756327,2.5332476e-8,0.0014682384,0.0007424377,0.000019812032,0.22858216,0.0004414097,0.0002865152],"study_design_scores_gemma":[0.0005952707,0.00010319895,0.86951,0.0000044095914,0.00024288757,2.7721094e-7,0.0015799213,0.03524119,0.00002049175,0.0033740725,0.08919122,0.00013704499],"about_ca_topic_score_codex":0.00051559607,"about_ca_topic_score_gemma":0.0022629905,"teacher_disagreement_score":0.22520807,"about_ca_system_score_codex":0.00006330291,"about_ca_system_score_gemma":0.000016578735,"threshold_uncertainty_score":0.36973312},"labels":[],"label_agreement":null},{"id":"W2947001235","doi":"10.1016/j.landurbplan.2019.05.016","title":"Assessing preferences for growth on the rural-urban fringe using a stated choice analysis","year":2019,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Recreation; Metropolitan area; Stakeholder; Geography; Environmental planning; Urbanization; Scale (ratio); Unemployment; Environmental resource management; Typology; Business; Socioeconomics; Economic growth; Economics; Political science","score_opus":0.115576631404128,"score_gpt":0.25578822458847916,"score_spread":0.14021159318435117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947001235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928832,0.0006811194,0.0009814146,0.00007700155,0.00009212185,0.00018700973,0.000043284414,0.000016346648,0.0050385073],"genre_scores_gemma":[0.9990872,0.000024097513,0.00019247536,0.00018246156,0.00007759073,0.000013026406,0.00006657219,0.000012518573,0.00034402782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924755,0.000013546902,0.00026657368,0.0002555557,0.00002615819,0.00019064106],"domain_scores_gemma":[0.99939275,0.00020629357,0.00021773226,0.0001407288,0.0000062368977,0.00003624238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034259213,0.000117927,0.0002576921,0.0001430052,0.00016404557,0.00018608244,0.00009257093,0.00005505808,0.00018123175],"category_scores_gemma":[0.000027912256,0.00009796579,0.000074493284,0.0001416034,0.000016461956,0.00029899544,0.000025949355,0.00008404279,0.000036488076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008373147,0.000011271273,0.9952897,0.000012312291,0.00014230973,1.3620719e-7,0.0005000944,0.0011295162,0.000034435427,0.0024374372,0.00040771978,0.000026699265],"study_design_scores_gemma":[0.00041553122,0.00005842246,0.9220781,0.000030369298,0.00006583025,4.639239e-7,0.0007346681,0.074405886,0.000036360085,0.0011019455,0.00088463794,0.00018779481],"about_ca_topic_score_codex":0.0000460137,"about_ca_topic_score_gemma":0.0000019220386,"teacher_disagreement_score":0.07327637,"about_ca_system_score_codex":0.000033354463,"about_ca_system_score_gemma":0.000004674966,"threshold_uncertainty_score":0.39949292},"labels":[],"label_agreement":null},{"id":"W2947408429","doi":"","title":"Indigenous community preferences for food and ceremonial fishery outcomes: Quantifying the importance of harvestable biomass and spatial distribution via a discrete choice experiment","year":2018,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Biomass (ecology); Distribution (mathematics); Indigenous; Spatial distribution; Fishery; Environmental science; Geography; Natural resource economics; Ecology; Economics; Environmental resource management; Mathematics; Biology","score_opus":0.08661390170784153,"score_gpt":0.2366842450223484,"score_spread":0.15007034331450686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947408429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98874557,0.00020848335,0.009704484,0.000078174446,0.00009585917,0.0003115159,0.0005749076,0.000010107938,0.00027092258],"genre_scores_gemma":[0.9995819,0.00006494966,0.00010651081,0.000024345674,0.000026468833,0.0000034392856,0.00009393276,0.000007613979,0.00009086038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993526,0.00003621154,0.00022640733,0.00020295085,0.000024805495,0.00015703074],"domain_scores_gemma":[0.9993735,0.00010563637,0.00026053228,0.00020109938,0.000013755457,0.000045473516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027300318,0.000111290705,0.00021275795,0.00006037176,0.00041688423,0.00003609332,0.00015834258,0.00006893776,0.00003075986],"category_scores_gemma":[0.000027218042,0.000109880755,0.00004612182,0.00007960827,0.00022734642,0.00030538513,0.00011097055,0.00007970238,0.0000034845887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031062456,0.000042214448,0.9983719,0.000024843368,0.000052566043,1.2966574e-7,0.00024250489,0.0000023906634,0.00001228303,0.0006721685,0.000054040636,0.0004939255],"study_design_scores_gemma":[0.0010543212,0.0004441329,0.9823777,0.000012346821,0.000027867442,1.1421046e-8,0.00536984,0.00078389357,0.0014048087,0.001741607,0.006586018,0.00019747329],"about_ca_topic_score_codex":0.0034564456,"about_ca_topic_score_gemma":0.07308905,"teacher_disagreement_score":0.0696326,"about_ca_system_score_codex":0.00010715104,"about_ca_system_score_gemma":0.000010261138,"threshold_uncertainty_score":0.94382465},"labels":[],"label_agreement":null},{"id":"W2954222820","doi":"10.1016/j.jval.2019.04.1552","title":"PNS195 MODELLING HETEROGENEOUS PUBLIC PREFERENCES IN DISCRETE CHOICE EXPERIMENTS: AN APPLICATION TO PRENATAL SCREENING AND DIAGNOSTIC STRATEGIES FOR CHROMOSOMAL ABNORMALITIES","year":2019,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Centre for Advancing Health Outcomes","funders":"","keywords":"Population; Miscarriage; Prenatal screening; Medicine; Bayes' theorem; Prenatal diagnosis; Sample (material); Pregnancy; Psychology; Environmental health; Statistics; Bayesian probability; Biology; Genetics","score_opus":0.149757639033529,"score_gpt":0.28136582638758395,"score_spread":0.13160818735405494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954222820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639123,0.0013626302,0.033277515,0.00018505333,0.00007141045,0.000986104,0.0000813651,0.000014049155,0.00010955285],"genre_scores_gemma":[0.99601686,0.000222683,0.003131094,0.000118120064,0.00004308483,0.000349627,0.000083063496,0.00001717267,0.000018265824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867046,0.000034002165,0.0005523408,0.00041905194,0.000029792196,0.00029432986],"domain_scores_gemma":[0.99939865,0.00015524079,0.00017872883,0.00017068937,0.0000044085027,0.00009226489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005532622,0.00011414454,0.00025007557,0.00016705332,0.000060632472,0.00009297023,0.00011563424,0.00005605184,0.000022268867],"category_scores_gemma":[0.000022380016,0.00014488627,0.00002204893,0.000071007285,0.000020935468,0.00073182484,0.00003942279,0.00006857475,0.0000210684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012747553,0.000046530982,0.3309379,0.00012618555,0.0000057118873,1.05407025e-7,0.0019511045,0.63877755,0.000006296779,0.026770331,9.501768e-7,0.0013645631],"study_design_scores_gemma":[0.00083331595,0.00041391153,0.09191914,0.00009748334,0.0000010603671,0.0000017084474,0.0015325051,0.8891784,0.000054087697,0.015394792,0.00030631502,0.00026728612],"about_ca_topic_score_codex":0.0070677707,"about_ca_topic_score_gemma":0.00033907685,"teacher_disagreement_score":0.2504008,"about_ca_system_score_codex":0.00018526957,"about_ca_system_score_gemma":0.000029077526,"threshold_uncertainty_score":0.99954426},"labels":[],"label_agreement":null},{"id":"W2954542212","doi":"10.1515/bis-2018-0026","title":"Universal Basic Income and the Natural Environment: Theory and Policy","year":2019,"lang":"en","type":"article","venue":"Basic Income Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Basic income; Government (linguistics); Work (physics); Public economics; Natural (archaeology); Income Support; Economics; Management science; Business; Engineering; Macroeconomics","score_opus":0.02457300606607232,"score_gpt":0.20742530090070901,"score_spread":0.1828522948346367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954542212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782115,0.012906174,0.000023518149,0.0011240705,0.00023096966,0.00026974618,0.00002568843,0.000013526005,0.007194766],"genre_scores_gemma":[0.991601,0.0046314197,0.000053160107,0.00034283637,0.0000876492,0.000015353204,0.0000034478871,0.000015145254,0.003249994],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99911356,0.000055378892,0.00028650762,0.00031973128,0.000030095889,0.00019475607],"domain_scores_gemma":[0.9992893,0.0002792623,0.00016725803,0.00022743952,0.0000032942733,0.0000334537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092197506,0.00015805464,0.0003636533,0.000111362264,0.00019283444,0.000029424753,0.000109843575,0.00004487295,0.00014746009],"category_scores_gemma":[0.00006492853,0.00012815469,0.000055145,0.000056261088,0.0005256044,0.00022126331,0.00030697277,0.0001239616,0.00049936806],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052294876,0.000009641907,0.35800362,0.000024670757,0.00014206165,5.1230694e-7,0.0016509716,0.000019101826,0.000003622125,0.63910604,0.000021830458,0.0009656505],"study_design_scores_gemma":[0.0024348747,0.00005402943,0.86138225,0.000016522532,0.000019686291,0.0000059615327,0.002026744,0.00031002125,0.000008555554,0.1303512,0.0031620353,0.00022813496],"about_ca_topic_score_codex":0.00008727809,"about_ca_topic_score_gemma":0.0000075704534,"teacher_disagreement_score":0.5087548,"about_ca_system_score_codex":0.00017863346,"about_ca_system_score_gemma":0.000005809676,"threshold_uncertainty_score":0.6418532},"labels":[],"label_agreement":null},{"id":"W2955407230","doi":"10.1139/cjfr-2018-0309","title":"Climate change, increasing forest fire incidence, and the value of visibility: evidence from British Columbia, Canada","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"BC Hydro (Canada); Capital Regional District; Simon Fraser University","funders":"","keywords":"Visibility; Haze; Climate change; Homogeneous; Geography; Damages; Human health; Value (mathematics); Environmental science; Environmental health; Meteorology; Ecology; Medicine; Statistics; Mathematics","score_opus":0.09345124719513932,"score_gpt":0.2527851671180816,"score_spread":0.15933391992294227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955407230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910043,0.0069004907,0.000004615758,0.0007145671,0.00020430182,0.0003079891,0.00017630855,7.4806815e-7,0.0006867158],"genre_scores_gemma":[0.9982103,0.0013356131,0.00008063946,0.00012611637,0.000107562475,0.0000070543506,0.000004944205,0.000012682638,0.000115060866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856347,0.00012787803,0.0006109308,0.0002064301,0.00012349921,0.000367772],"domain_scores_gemma":[0.99838895,0.00062828657,0.0003536472,0.00024927722,0.00008240903,0.00029742206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043776804,0.00006578237,0.0003461445,0.00010151838,0.00021548584,0.00023756057,0.00036177752,0.000064821645,0.0005183621],"category_scores_gemma":[0.00081955426,0.00008247982,0.000062421364,0.00015922193,0.00034824066,0.00043699334,0.00006740891,0.0003107909,0.00002135695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021021471,0.000004171227,0.9967109,0.000023902337,0.00001904293,0.0000148416875,0.00022516135,0.00007777773,0.0000010020623,0.0010680796,0.00047877114,0.001355356],"study_design_scores_gemma":[0.0005477298,0.00007389301,0.9864964,0.00026681268,0.0000051347356,0.00003222863,0.00024044354,0.0014655191,0.0000015369707,0.010188375,0.00060204766,0.000079887715],"about_ca_topic_score_codex":0.9975949,"about_ca_topic_score_gemma":0.9991291,"teacher_disagreement_score":0.0102144815,"about_ca_system_score_codex":0.0006177074,"about_ca_system_score_gemma":0.00065814616,"threshold_uncertainty_score":0.56757015},"labels":[],"label_agreement":null},{"id":"W2956055660","doi":"10.1111/nrm.12224","title":"A point‐input, point‐output forest as a microprototype for capital accounting","year":2019,"lang":"en","type":"article","venue":"Natural Resource Modeling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Point (geometry); Capital (architecture); Salient; Simple (philosophy); Investment (military); Capital investment; Microeconomics; Natural resource economics; Finance; Mathematics; Computer science; Geography","score_opus":0.04075595261243803,"score_gpt":0.2160862598980973,"score_spread":0.17533030728565926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956055660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848987,0.0015315755,0.007882338,0.00041154664,0.00029965033,0.00097122445,0.000033442706,0.00004906741,0.0039224653],"genre_scores_gemma":[0.99301,0.000018839193,0.003018165,0.0007172665,0.00020363108,0.000071716815,0.00008574615,0.000057901732,0.0028167588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983922,0.0000080298005,0.0005721114,0.0005591009,0.000052178682,0.00041634144],"domain_scores_gemma":[0.999298,0.000059987306,0.0002541676,0.00029899846,0.000021909787,0.000066946464],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059015217,0.00020794505,0.00034382008,0.00015029387,0.0001419118,0.00010771147,0.00023633189,0.00015639169,0.00022305448],"category_scores_gemma":[0.00009508531,0.00023672992,0.00021590365,0.000074338415,0.000023106384,0.00039181855,0.00009729593,0.00025221938,0.001794885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095497177,0.0003271863,0.34583086,0.00054315804,0.0004843001,0.000006978973,0.008107208,0.49838942,0.0037242263,0.123922214,0.002414057,0.01529541],"study_design_scores_gemma":[0.0013514806,0.00010877884,0.0024684158,0.000041279156,0.000010746093,0.000010263617,0.000619918,0.9684734,0.00008644901,0.01757201,0.008804044,0.00045322292],"about_ca_topic_score_codex":0.00026084448,"about_ca_topic_score_gemma":0.00001542471,"teacher_disagreement_score":0.47008395,"about_ca_system_score_codex":0.00025908262,"about_ca_system_score_gemma":0.000015949052,"threshold_uncertainty_score":0.9989823},"labels":[],"label_agreement":null},{"id":"W2963319759","doi":"10.1108/ijdrbe-10-2018-0044","title":"Choice of emergency shelter: valuing key attributes of emergency shelters","year":2019,"lang":"en","type":"article","venue":"International Journal of Disaster Resilience in the Built Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Sample (material); Population; Originality; Business; Emergency management; Geography; Marketing; Transport engineering; Operations management; Psychology; Engineering; Medicine; Environmental health; Social psychology; Economics; Economic growth","score_opus":0.07940698616466585,"score_gpt":0.27607545146786844,"score_spread":0.1966684653032026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963319759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948596,0.00070036674,0.0013947685,0.00051590474,0.0011775197,0.00015007028,0.000045136767,0.0000010855084,0.0011555695],"genre_scores_gemma":[0.9980025,0.0012967414,0.00025390118,0.000044022272,0.00009306188,0.000004966242,0.0000054222655,0.000010567043,0.0002887682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789375,0.000044812412,0.0014715906,0.0001994926,0.00023343565,0.00015694472],"domain_scores_gemma":[0.9983108,0.000070568734,0.0012977953,0.0002681611,0.000017274777,0.000035420242],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090311625,0.00012938972,0.00030448937,0.00019317756,0.000016413933,0.0000102363,0.00090770563,0.000046745125,0.0028974079],"category_scores_gemma":[0.00006763626,0.0001145233,0.00020698544,0.00006405545,0.00004842376,0.00041248716,0.00012092558,0.00013750701,0.00019449528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032804986,0.00023066434,0.97790986,0.000016452426,0.00007061924,0.0000015288839,0.0019649353,0.015574448,0.0018458848,0.0016283161,0.0001081861,0.0006163084],"study_design_scores_gemma":[0.0007057458,0.00021384348,0.9876917,0.00006427102,0.00001290832,0.000007306859,0.0013098156,0.0008423056,0.00094331935,0.0055655017,0.0024874618,0.00015579302],"about_ca_topic_score_codex":0.00008875735,"about_ca_topic_score_gemma":0.000007203766,"teacher_disagreement_score":0.014732142,"about_ca_system_score_codex":0.00016667419,"about_ca_system_score_gemma":0.0000076005554,"threshold_uncertainty_score":0.9980141},"labels":[],"label_agreement":null},{"id":"W2963498380","doi":"10.1093/ej/uez039","title":"Testing the Random Utility Hypothesis Directly","year":2019,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Université de Montréal","funders":"","keywords":"Expected utility hypothesis; Bayes' theorem; Econometrics; Set (abstract data type); Mathematics; Statistics; Computer science; Bayesian probability","score_opus":0.1249183775535526,"score_gpt":0.20492444451470754,"score_spread":0.08000606696115493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963498380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9220601,0.0007420491,0.00016769642,0.001537123,0.0010022824,0.00022265867,0.000020574136,0.000014583444,0.07423296],"genre_scores_gemma":[0.9971151,0.00013495523,0.00019045088,0.0004664492,0.0003899321,0.000009688581,0.0000010921563,0.000021927834,0.0016704245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998738,0.000060099945,0.00066332857,0.00023788752,0.000022620194,0.00027807197],"domain_scores_gemma":[0.9984253,0.0005379323,0.0005575834,0.00041543797,0.000005389116,0.000058339196],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0029061167,0.0001395084,0.00029790102,0.000049900293,0.00036174303,0.00016926312,0.00048918853,0.000051040894,0.0050211307],"category_scores_gemma":[0.000114929986,0.000096566895,0.00017302143,0.000040795734,0.000095736505,0.00028099064,0.00007496388,0.0002904909,0.011551437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008416104,0.00004317736,0.9485633,0.000008748447,0.00025721043,0.0000011826006,0.0009527327,0.0068257027,0.00013306693,0.016815906,0.005202167,0.021112643],"study_design_scores_gemma":[0.0015779232,0.000049090395,0.8695587,0.000010301367,0.000018943538,0.00010888724,0.0003450764,0.021553868,0.000087239736,0.07865692,0.027766893,0.000266138],"about_ca_topic_score_codex":0.00011419463,"about_ca_topic_score_gemma":0.000008707885,"teacher_disagreement_score":0.079004586,"about_ca_system_score_codex":0.00035292679,"about_ca_system_score_gemma":0.000033647873,"threshold_uncertainty_score":0.9958884},"labels":[],"label_agreement":null},{"id":"W2964022095","doi":"10.1111/rssc.12321","title":"Careful Prior Specification Avoids Incautious Inference for Log-Gaussian Cox Point Processes","year":2018,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series C (Applied Statistics)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Division of Environmental Biology; Office of International Science and Engineering; Smithsonian Tropical Research Institute; Smithsonian Institution; National Science Foundation","keywords":"Hyperparameter; Point process; Hyperparameter optimization; Inference; Gaussian process; Mathematics; Computer science; Covariate; Gaussian; Algorithm; Statistics; Artificial intelligence","score_opus":0.04243172141445356,"score_gpt":0.24027272705967606,"score_spread":0.1978410056452225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964022095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019209307,0.00012336737,0.973444,0.00090687565,0.00061982055,0.00044489093,0.0027452735,0.0000149258,0.002491536],"genre_scores_gemma":[0.8888543,0.00011083783,0.10945605,0.00035873588,0.00041646304,0.000028932076,0.00005623081,0.00003205789,0.0006863851],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982158,0.000022154358,0.0010483004,0.00028396197,0.00011648493,0.00031332532],"domain_scores_gemma":[0.9981053,0.00036098843,0.0010303698,0.00022991502,0.00014355314,0.0001298798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067090936,0.00020277002,0.000437596,0.000029621924,0.00043735598,0.00011815748,0.0003511999,0.000121991194,0.0006829457],"category_scores_gemma":[0.00061142107,0.00017413347,0.000118963435,0.00010882071,0.000548923,0.00015334135,0.00008645271,0.00024615068,0.00012110695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026632246,0.00021906028,0.008967022,0.00024613805,0.00022732833,0.0000011907495,0.0026253243,0.0005915201,0.000073870615,0.94562495,0.03705164,0.0041056373],"study_design_scores_gemma":[0.0024145336,0.0011833349,0.2375947,0.000060047045,0.00015779062,0.000016802504,0.0016142089,0.010406714,0.0006942474,0.6922303,0.052871518,0.0007558359],"about_ca_topic_score_codex":0.000029195928,"about_ca_topic_score_gemma":0.00002996853,"teacher_disagreement_score":0.869645,"about_ca_system_score_codex":0.00039924745,"about_ca_system_score_gemma":0.00011374982,"threshold_uncertainty_score":0.74777764},"labels":[],"label_agreement":null},{"id":"W2964098307","doi":"10.5539/jas.v11n13p29","title":"Effects of Consumer Preferences on Environmentally Friendly Tomatoes in Myanmar","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan International Cooperation Agency","keywords":"Business; Certification; Environmentally friendly; Agriculture; Willingness to pay; Marketing; Product (mathematics); Environmental degradation; Environmental pollution; Food safety; Production (economics); Natural resource; Sustainability; Agricultural economics; Environmental protection; Geography; Economics; Food science","score_opus":0.019020012955615295,"score_gpt":0.18597930121677858,"score_spread":0.1669592882611633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964098307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964572,0.0003975676,0.000011827409,0.00008392638,0.00028640125,0.000121295845,0.000003632825,0.0000014618374,0.0026366583],"genre_scores_gemma":[0.9991385,0.00020650367,0.00047536995,0.000032646276,0.000017950204,0.0000013934674,4.3325974e-7,0.0000021846208,0.00012502028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911,0.000010610801,0.00048446507,0.00015959052,0.00009223798,0.00014310796],"domain_scores_gemma":[0.9992163,0.000074578384,0.0005754978,0.000071802664,0.000008176027,0.000053605778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004783872,0.000078933816,0.00023979571,0.00012469993,0.00002906177,0.000022839356,0.00026507518,0.000033114986,0.00018989628],"category_scores_gemma":[0.00005115471,0.00005482244,0.0000618035,0.00013991518,0.0001261444,0.0005692553,0.000038162103,0.000093308045,0.00023412902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001953565,0.00022651289,0.94012403,0.000033934837,0.00001840448,0.0000017129599,0.00063724356,0.0013200393,0.044576515,0.012006964,0.00012547047,0.0009096332],"study_design_scores_gemma":[0.0003437175,0.000303965,0.9863965,0.000051442108,0.0000024062067,0.000006279387,0.00022882492,0.000031884152,0.0112917675,0.0011228466,0.00013812167,0.00008225018],"about_ca_topic_score_codex":0.00002293797,"about_ca_topic_score_gemma":0.0000022826423,"teacher_disagreement_score":0.04627246,"about_ca_system_score_codex":0.00018081868,"about_ca_system_score_gemma":0.000011822371,"threshold_uncertainty_score":0.3009333},"labels":[],"label_agreement":null},{"id":"W2964107535","doi":"","title":"Local utility elicitation in GAI models","year":2005,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inference; Preference elicitation; Computer science; Representation (politics); Perspective (graphical); Independence (probability theory); Machine learning; Data mining; Artificial intelligence; Theoretical computer science; Preference; Mathematics; Statistics","score_opus":0.14914140639490558,"score_gpt":0.22298465792659858,"score_spread":0.073843251531693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964107535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7101772,0.00020633986,0.13250574,0.0006306383,0.000044335662,0.000087640925,0.000008166316,0.000015343958,0.1563246],"genre_scores_gemma":[0.9967286,0.000061913684,0.0017659935,0.00045075308,0.000023613677,0.000011376145,0.000012745333,0.000006384833,0.0009386165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932694,0.000005264048,0.00033977005,0.00019679923,0.000011706824,0.0001195059],"domain_scores_gemma":[0.9997788,0.00001258715,0.00006276949,0.0001160362,0.0000018960518,0.000027909857],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00032405046,0.000057607398,0.0001171211,0.00007392429,0.000020742924,0.000011361188,0.00005542377,0.000048379392,0.0018024187],"category_scores_gemma":[0.000006363048,0.000071661416,0.000031461434,0.00004701224,0.000029298928,0.000407215,0.00001652141,0.000049249928,0.0021020407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011363203,0.00018606754,0.28626576,0.000006510046,0.000009326468,2.8772126e-7,0.0006760893,0.092149325,0.0000084962585,0.57705843,0.00087770267,0.04275063],"study_design_scores_gemma":[0.00032398914,0.000009837916,0.28709966,0.0000013269329,5.0518173e-7,3.068776e-7,0.00009594511,0.62492776,0.00005700985,0.084435664,0.0029543317,0.00009364934],"about_ca_topic_score_codex":0.0002821072,"about_ca_topic_score_gemma":0.00021765125,"teacher_disagreement_score":0.53277844,"about_ca_system_score_codex":0.00017570138,"about_ca_system_score_gemma":0.0000031444254,"threshold_uncertainty_score":0.99911004},"labels":[],"label_agreement":null},{"id":"W2965695285","doi":"10.1007/s11116-019-10041-7","title":"Heterogeneity in marginal value of urban mobility: evidence from a large-scale household travel survey in the Greater Toronto and Hamilton Area","year":2019,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Context (archaeology); Value (mathematics); Econometrics; Economics; Travel behavior; Population; Marginal value; Car ownership; Scale (ratio); Econometric model; Microeconomics; Public transport; Transport engineering; Geography; Mathematics; Engineering; Statistics; Sociology","score_opus":0.1085926438826023,"score_gpt":0.2249517535171821,"score_spread":0.11635910963457981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965695285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979308,0.0006920911,0.00044377116,0.000025309662,0.000047935217,0.0002897223,0.00047205054,0.0000030147887,0.0000952779],"genre_scores_gemma":[0.99941665,0.00023268769,0.000093692164,0.000048941783,0.0000061843593,0.000020448846,0.000154394,0.000007985212,0.00001904281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991022,0.000041707826,0.00043078276,0.00027611232,0.000033571476,0.00011562684],"domain_scores_gemma":[0.99959934,0.000066840796,0.00012944196,0.00018380424,0.0000031108957,0.00001744408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009341026,0.000086588734,0.00022015185,0.00003642264,0.000015122716,0.000010231253,0.000085901884,0.00006282511,0.00012709462],"category_scores_gemma":[0.000004701607,0.00008633148,0.00003551127,0.00004850193,0.000025634494,0.00032021393,0.000002307252,0.000058357873,0.000010554661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044983986,0.000066184344,0.99322087,0.000016640102,0.000005252289,3.4659027e-7,0.0055753933,0.00068328093,0.00010712521,0.00023850455,0.0000026014663,0.00003880977],"study_design_scores_gemma":[0.0005904388,0.000045560937,0.9960116,0.000026062142,0.000004169135,1.1288035e-7,0.00034641824,0.0023586808,0.00015819441,0.00036322442,0.0000062032304,0.000089316105],"about_ca_topic_score_codex":0.022318179,"about_ca_topic_score_gemma":0.044409484,"teacher_disagreement_score":0.022091303,"about_ca_system_score_codex":0.000093453076,"about_ca_system_score_gemma":0.0000043130053,"threshold_uncertainty_score":0.9841923},"labels":[],"label_agreement":null},{"id":"W2965988925","doi":"10.1093/aepp/ppz017","title":"Consumer Preferences for Country‐of‐Origin Labeling in Protected Markets: Evidence from the Canadian Dairy Market","year":2019,"lang":"en","type":"article","venue":"Applied Economic Perspectives and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Traceability; Business; Valuation (finance); Product (mathematics); Dairy industry; Country of origin; Commerce; Marketing; Economics; Food science; Accounting","score_opus":0.05659871614324314,"score_gpt":0.2445187392274705,"score_spread":0.18792002308422737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965988925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779463,0.0023952597,0.000020700765,0.0006727388,0.0000909222,0.00089933746,0.0006113053,0.0000072846565,0.017356163],"genre_scores_gemma":[0.99758,0.0013396605,0.00037595796,0.00018287942,0.00011027132,0.00013999087,0.000021755477,0.000016693923,0.00023280329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886864,0.0000124217195,0.00041303952,0.00043247684,0.00001487031,0.0002585532],"domain_scores_gemma":[0.99915045,0.00029445364,0.00023781079,0.00024375794,0.00000573111,0.000067780886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056476303,0.00014593508,0.0003213539,0.00014520413,0.00009879145,0.00006134628,0.0001925953,0.000099533674,0.0008691053],"category_scores_gemma":[0.000048137885,0.00014676878,0.00004226464,0.00006475215,0.00012347172,0.00018126554,0.000038451955,0.00011206794,0.00013517779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105745414,0.000019639618,0.82872903,0.000027287926,0.00009170279,7.697953e-8,0.0040734713,0.00020638834,0.00007058481,0.165024,0.0005548508,0.0010972376],"study_design_scores_gemma":[0.0009639785,0.00003360653,0.9504397,0.000039976367,0.000008437521,7.4587615e-7,0.0025609054,0.0032510068,0.00003274504,0.036156554,0.006245089,0.00026727087],"about_ca_topic_score_codex":0.22984606,"about_ca_topic_score_gemma":0.07944872,"teacher_disagreement_score":0.15039733,"about_ca_system_score_codex":0.00064242457,"about_ca_system_score_gemma":0.00015613035,"threshold_uncertainty_score":0.9516093},"labels":[],"label_agreement":null},{"id":"W2966834493","doi":"10.1016/j.jenvman.2019.109271","title":"Understanding the preferences of water users in a context of cyanobacterial blooms in Quebec","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal; Institut Universitaire en Santé Mentale de Québec; HEC Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université du Québec en Outaouais","funders":"Social Sciences and Humanities Research Council of Canada; Genome Canada","keywords":"Recreation; Context (archaeology); Algal bloom; Ecosystem services; Logit; Willingness to pay; Environmental science; Ecology; Ecosystem; Environmental resource management; Geography; Nutrient; Biology; Phytoplankton; Economics","score_opus":0.08245752303870237,"score_gpt":0.18937958390626947,"score_spread":0.1069220608675671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966834493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972145,0.0001418019,0.00009571453,0.000118683165,0.00020673484,0.00021566587,0.000010024382,5.0772275e-7,0.0019963556],"genre_scores_gemma":[0.9992135,0.0003563826,0.000048162387,0.00003491571,0.000012488215,0.000002779776,0.0000026555183,0.0000070833025,0.00032202827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998853,0.000023601979,0.0008257131,0.0001163658,0.00005776713,0.00012349787],"domain_scores_gemma":[0.99933934,0.000021781827,0.0004962866,0.00012422274,6.916995e-7,0.000017652317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006093123,0.00008303212,0.00028912647,0.0001866107,0.000010618012,0.000010472706,0.00017525593,0.000034938617,0.0008360928],"category_scores_gemma":[0.0000019179183,0.00006397975,0.0000796231,0.000035534435,0.00007275387,0.00023441631,0.00007981952,0.00008068545,0.000051706636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112752256,0.0002742179,0.9845901,0.00005362437,0.00010120849,0.0000028795778,0.0025587585,0.0027277726,0.0026680655,0.0063734674,0.000011639116,0.00052547245],"study_design_scores_gemma":[0.002205084,0.00019601884,0.97921604,0.0000763775,0.000013660545,0.0000014672031,0.01061392,0.0001759512,0.0019246268,0.0050698062,0.00039264408,0.00011442836],"about_ca_topic_score_codex":0.00038423136,"about_ca_topic_score_gemma":0.00032424123,"teacher_disagreement_score":0.008055162,"about_ca_system_score_codex":0.00046459615,"about_ca_system_score_gemma":0.0000023483542,"threshold_uncertainty_score":0.915463},"labels":[],"label_agreement":null},{"id":"W2968865019","doi":"10.1111/1467-8489.12331","title":"Canadian beef and dairy farmers’ attitudes towards animal vaccines","year":2019,"lang":"en","type":"article","venue":"Australian Journal of Agricultural and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Genome Prairie; Genome British Columbia; Ministry of Agriculture - Saskatchewan; Genome Canada","keywords":"Willingness to pay; Paratuberculosis; Herd; Vaccination; Agricultural science; Business; Livestock; Veterinary medicine; Environmental health; Biotechnology; Economics; Medicine; Tuberculosis; Geography; Biology; Immunology","score_opus":0.03773348611111196,"score_gpt":0.19614975332978848,"score_spread":0.15841626721867652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968865019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928999,0.0007516616,7.839985e-7,0.0036613252,0.00020706102,0.00010451289,0.000042811625,0.0000039400725,0.0023279989],"genre_scores_gemma":[0.99586153,0.0006932317,0.00019062975,0.00018911154,0.00018932344,0.0000010052573,0.000011856812,0.000010732833,0.0028525717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998908,0.000010844065,0.0005853483,0.00023030443,0.000018775747,0.0002467692],"domain_scores_gemma":[0.9991805,0.000016236523,0.00042246614,0.00008634568,0.000014497347,0.00027995434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003173157,0.00016549526,0.00038235693,0.00012902716,0.00009224633,0.000110879,0.00013982528,0.00012334499,0.0003555753],"category_scores_gemma":[0.000008664237,0.00013650404,0.00009727213,0.000041630046,0.00004507898,0.00041645678,0.00003967285,0.00018804049,0.00011027406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001805691,0.00001877794,0.9932095,0.000023472188,0.0001180841,0.0000020234122,0.00048224037,0.00046962383,0.000108369706,0.0030127,0.001515613,0.0010215341],"study_design_scores_gemma":[0.00056099513,0.0001946301,0.9802333,0.000017916096,0.0000140367165,0.00016225883,0.0012010531,0.000016094735,0.000062106206,0.00036545153,0.016957495,0.00021465198],"about_ca_topic_score_codex":0.0025637986,"about_ca_topic_score_gemma":0.00084670034,"teacher_disagreement_score":0.015441883,"about_ca_system_score_codex":0.00019399627,"about_ca_system_score_gemma":0.000021446645,"threshold_uncertainty_score":0.5566473},"labels":[],"label_agreement":null},{"id":"W2969058297","doi":"10.3390/f10080691","title":"Farmers’ Willingness to Accept Compensation to Maintain the Benefits of Urban Forests","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Willingness to accept; Livelihood; Afforestation; Hectare; Arable land; Business; Agroforestry; Agricultural economics; Willingness to pay; Forestry; Geography; Agriculture; Economics; Environmental science","score_opus":0.053187738301129946,"score_gpt":0.218903078152741,"score_spread":0.16571533985161105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969058297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929791,0.00009603546,0.0024640195,0.000678378,0.00034005768,0.0006016889,0.000065780965,0.000011401508,0.002763546],"genre_scores_gemma":[0.99838555,0.0000075814924,0.00031755742,0.00046316112,0.00006678296,0.000036520756,0.000032609485,0.000020356041,0.00066990004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907506,0.000009969734,0.0003943176,0.0002740012,0.000040899846,0.00020577415],"domain_scores_gemma":[0.999357,0.00004332373,0.00018167958,0.00033473983,0.000011092632,0.00007219188],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039126832,0.00010949066,0.00022096962,0.00009273046,0.00005526359,0.00002680027,0.00024799764,0.00005412376,0.00060447183],"category_scores_gemma":[0.000033314423,0.00010586272,0.00006682355,0.0001368497,0.000022476634,0.00013826892,0.000089144145,0.000055986373,0.0031731003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013288124,0.000019758565,0.8804731,0.0000072570883,0.000011714876,5.728872e-8,0.00064378546,0.019713828,0.000013992785,0.09780116,0.00050439074,0.0007976673],"study_design_scores_gemma":[0.00026461657,0.00011649785,0.98853064,0.000013577397,0.0000030748472,5.5977137e-7,0.00013036269,0.0015428634,0.00018261209,0.005027912,0.0040508057,0.00013647626],"about_ca_topic_score_codex":0.00018373855,"about_ca_topic_score_gemma":0.000865067,"teacher_disagreement_score":0.108057536,"about_ca_system_score_codex":0.00012368012,"about_ca_system_score_gemma":0.0000063101456,"threshold_uncertainty_score":0.99760306},"labels":[],"label_agreement":null},{"id":"W2969260955","doi":"10.1007/s10640-019-00368-1","title":"Substitution Effects in Spatial Discrete Choice Experiments","year":2019,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Substitution (logic); Mixed logit; Discrete choice; Comparability; Econometrics; Flexibility (engineering); Logit; Economics; Imperfect; Computer science; Logistic regression; Microeconomics; Mathematics","score_opus":0.019693103758691013,"score_gpt":0.17894044489951164,"score_spread":0.15924734114082062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969260955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907425,0.0009791428,0.0001146253,0.00008236435,0.0002466203,0.0003625604,0.000037458325,0.000012375447,0.0074223205],"genre_scores_gemma":[0.9978925,0.00031383065,0.00011213012,0.00022845826,0.00007643315,0.00002918689,0.00007582891,0.000025759136,0.001245885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877155,0.000016486298,0.00042983668,0.0005069837,0.000020415198,0.00025472368],"domain_scores_gemma":[0.9994744,0.000038466394,0.00017842559,0.00022322658,2.4399554e-7,0.00008520402],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020523713,0.00018327885,0.00029813166,0.00010301761,0.00006471669,0.00003605564,0.000111598485,0.00012374729,0.0007253437],"category_scores_gemma":[0.0000049615924,0.00022180364,0.000062494466,0.000019413576,0.0000958161,0.00026920054,0.00011460993,0.00013624298,0.0020552995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016749724,0.000072065035,0.99195313,0.000015569476,0.000014569744,8.9772465e-7,0.0002766124,0.0010777526,0.0003691494,0.0051448084,0.00001357714,0.0010451275],"study_design_scores_gemma":[0.0015507672,0.00008449417,0.9736502,0.000010880276,0.000003524188,0.0000035109404,0.00014561035,0.003988124,0.00048045954,0.0016403174,0.018123824,0.00031826462],"about_ca_topic_score_codex":0.00019556498,"about_ca_topic_score_gemma":0.00001967951,"teacher_disagreement_score":0.018302897,"about_ca_system_score_codex":0.0003393312,"about_ca_system_score_gemma":0.0000027358165,"threshold_uncertainty_score":0.9987217},"labels":[],"label_agreement":null},{"id":"W2971331661","doi":"10.1016/j.landurbplan.2019.103644","title":"Shared landscapes increase condominium unit selling price in a high-density city","year":2019,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ecosystem services; Unit (ring theory); Real estate; Business; Vegetation (pathology); Sustainability; Land use; Unit price; Scale (ratio); Value (mathematics); Environmental resource management; Natural resource economics; Ecosystem; Environmental economics; Geography; Economics; Ecology; Finance; Computer science","score_opus":0.045237412609605565,"score_gpt":0.20112806064923516,"score_spread":0.1558906480396296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971331661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866211,0.0012406057,0.000119513934,0.00006918799,0.00013101626,0.00017158034,0.0000491024,0.0000255012,0.011572393],"genre_scores_gemma":[0.99852645,0.00007221921,0.00018587598,0.0001918278,0.00007110398,0.000008827953,0.00011101017,0.000015257624,0.0008174292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989909,0.000017001728,0.00036489274,0.00036898768,0.000027569433,0.000230681],"domain_scores_gemma":[0.9994861,0.0000913338,0.00017618376,0.00016489143,0.000004813005,0.00007666048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045575868,0.00014181867,0.0003538774,0.00015313616,0.000062370236,0.00006287674,0.00009163763,0.00010090381,0.0006732145],"category_scores_gemma":[0.00002242857,0.0001600079,0.000036708614,0.00009668408,0.000013412266,0.0002780576,0.000058536338,0.00015636862,0.00034202798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053173168,0.000026959937,0.99583864,0.000021544083,0.000018093317,0.0000054605302,0.0005716796,0.00038549805,0.000031061038,0.002675595,0.0003542994,0.000018019304],"study_design_scores_gemma":[0.0020012597,0.000045026438,0.9839482,0.00003740088,0.0000055283995,0.000005602874,0.00023488516,0.010360846,0.000040514326,0.0012135546,0.001868527,0.00023865697],"about_ca_topic_score_codex":0.00014805989,"about_ca_topic_score_gemma":0.000014085671,"teacher_disagreement_score":0.011905348,"about_ca_system_score_codex":0.000031982014,"about_ca_system_score_gemma":0.00000701041,"threshold_uncertainty_score":0.73712265},"labels":[],"label_agreement":null},{"id":"W2971521315","doi":"10.1093/ajae/aaz044","title":"Productivity Spillovers From Pollution Reduction: Reducing Coal Use Increases Crop Yields","year":2019,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Environmental science; Crop; Economics; Productivity; Yield (engineering); Agricultural economics; Coal; Range (aeronautics); Shock (circulatory); Pollution; Agronomy; Chemistry; Biology; Ecology","score_opus":0.03178401909374369,"score_gpt":0.1864191163624197,"score_spread":0.15463509726867603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971521315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966372,0.00019358937,0.000059510352,0.0009425786,0.0010896651,0.00015271567,0.00010460142,0.000012215644,0.00080788],"genre_scores_gemma":[0.9968642,0.00044714485,0.0014409898,0.00012618679,0.0006321846,0.0000022391332,0.0000341489,0.000017396194,0.00043550832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984355,0.000033697866,0.0008948992,0.00037145277,0.000034542663,0.00022988724],"domain_scores_gemma":[0.997765,0.000048815255,0.0017916015,0.00023115371,0.000032743737,0.00013070181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035665324,0.00019763898,0.0005955382,0.00012058105,0.00008014857,0.00011442571,0.00019883038,0.000066863155,0.00038922712],"category_scores_gemma":[0.000058122452,0.00018522091,0.00023165633,0.000110302164,0.00014582489,0.0016534919,0.000051326235,0.00022924821,0.00035900902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032539424,0.00047055536,0.8455803,0.000015617543,0.00078367046,0.0000031618997,0.0013175035,0.12519756,0.006694681,0.0072302055,0.0032236539,0.009157693],"study_design_scores_gemma":[0.0005145499,0.00042768347,0.9924661,0.000024580107,0.000029284989,0.00010866923,0.0014108984,0.00015189788,0.0013228416,0.00071418856,0.002485756,0.0003435722],"about_ca_topic_score_codex":0.0024262893,"about_ca_topic_score_gemma":0.000020842519,"teacher_disagreement_score":0.14688577,"about_ca_system_score_codex":0.0006470178,"about_ca_system_score_gemma":0.000032097956,"threshold_uncertainty_score":0.7553089},"labels":[],"label_agreement":null},{"id":"W2971726618","doi":"10.1111/cjag.12205","title":"Heterogeneity in male and female farmers’ preference for a profit‐enhancing and labor‐saving technology: The case of Direct‐Seeded Rice (DSR) in India","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Indian Council of Agricultural Research","keywords":"Profit (economics); Economics; Cash; Empowerment; Agriculture; Willingness to pay; Seeder; Business; Labour economics; Economic growth; Geography; Microeconomics","score_opus":0.045643229130656715,"score_gpt":0.17745189319794588,"score_spread":0.13180866406728917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971726618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99599385,0.0015101995,0.0000014887997,0.00078155054,0.00029414165,0.00060246815,0.00025217634,0.0000022466925,0.000561861],"genre_scores_gemma":[0.99924374,0.0002212902,0.00017911532,0.00010307256,0.000050659502,0.000032868586,0.000008409464,0.000016453887,0.00014439154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980242,0.000019017223,0.0010782426,0.00039618716,0.0000038686935,0.0004784457],"domain_scores_gemma":[0.99851,0.00012852099,0.00085589604,0.00018704661,0.0000301013,0.0002884598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081943837,0.00021357615,0.00067203183,0.00051763013,0.000097761374,0.00006518738,0.00024284703,0.00016399488,0.00006700223],"category_scores_gemma":[0.00008862538,0.00020041745,0.00008603515,0.00015240198,0.00013705171,0.0004832654,0.000039938866,0.00023533385,0.000008949729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016543321,0.0000069659036,0.9859125,0.00007952548,0.000054419575,0.000022989003,0.0015950465,0.0009423073,0.00014447878,0.010776411,0.000011205334,0.00043759888],"study_design_scores_gemma":[0.0010794358,0.00018670029,0.9886322,0.00007971853,0.00001461509,0.0007206157,0.0061861766,0.0003626983,0.0002370846,0.0020358441,0.00017286258,0.00029204646],"about_ca_topic_score_codex":0.0237906,"about_ca_topic_score_gemma":0.59925425,"teacher_disagreement_score":0.57546365,"about_ca_system_score_codex":0.0010302812,"about_ca_system_score_gemma":0.00012738239,"threshold_uncertainty_score":0.98271006},"labels":[],"label_agreement":null},{"id":"W2974186742","doi":"10.5539/mas.v13n10p46","title":"The True Valuation of Land Use Project in China Considering Ecosystem Services","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Ecosystem services; Environmental economics; Provisioning; Environmental resource management; Biosphere; Computer science; Business; Environmental science; Ecosystem; Economics","score_opus":0.08046594624759143,"score_gpt":0.21649436675231767,"score_spread":0.13602842050472624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974186742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991963,0.00007376489,0.0014826868,0.00003443015,0.000108125016,0.00039671818,0.0000121888925,0.000007334269,0.0059217187],"genre_scores_gemma":[0.99955314,0.000032484055,0.00026005047,0.000023857863,0.000007687155,0.00002532405,0.000002578117,0.000006257064,0.0000886268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991212,0.0000071227146,0.00035302783,0.00029221366,0.000056571535,0.00016984914],"domain_scores_gemma":[0.99944395,0.000044782246,0.00023233709,0.00025560448,0.0000051369907,0.000018195751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013886766,0.00006886374,0.00015358739,0.0001135034,0.00009714805,0.00008317522,0.0002234369,0.000028865243,0.000018275965],"category_scores_gemma":[0.000011516896,0.000062167266,0.000020633126,0.00016184295,0.00007017452,0.00034353667,0.00006867445,0.000052936215,0.00013874355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000119306205,0.000024901816,0.9412017,0.000035815647,0.000004990031,8.344857e-8,0.002064825,0.012935561,0.0057645766,0.036770523,0.0000018086963,0.0011833204],"study_design_scores_gemma":[0.00031598343,0.000012890487,0.52533674,0.00001042213,9.658895e-7,5.641881e-7,0.00014313745,0.45856625,0.0006514123,0.014733368,0.00014011493,0.00008812898],"about_ca_topic_score_codex":0.00027826967,"about_ca_topic_score_gemma":0.0002499779,"teacher_disagreement_score":0.44563067,"about_ca_system_score_codex":0.00012892905,"about_ca_system_score_gemma":0.00002547424,"threshold_uncertainty_score":0.25351077},"labels":[],"label_agreement":null},{"id":"W2974303932","doi":"10.2737/pnw-gtr-957","title":"Recreation economic values for estimating outdoor recreation economic benefits from the National Forest System","year":2017,"lang":"en","type":"report","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Forest Service; U.S. Department of Agriculture","keywords":"Recreation; Ecosystem services; Economic surplus; Environmental resource management; Economic impact analysis; Value (mathematics); Resource (disambiguation); Natural resource; Natural resource economics; Business; Geography; Economic evaluation; Service (business); Ecosystem; Environmental planning; Economics; Marketing; Ecology; Computer science","score_opus":0.23970111221652873,"score_gpt":0.2952799740219026,"score_spread":0.05557886180537386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974303932","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17848516,0.0069049364,0.027767684,0.0023074348,0.023363775,0.007038313,0.028770966,0.00044931064,0.7249124],"genre_scores_gemma":[0.85914963,0.0045754686,0.049310856,0.0003270302,0.018065853,0.0027606257,0.023135146,0.00051079865,0.042164586],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964411,0.000034137352,0.0018528933,0.0011692451,0.00011411024,0.00038847688],"domain_scores_gemma":[0.99523294,0.0005610572,0.003272472,0.0007555698,0.00007697877,0.00010099088],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031596457,0.00051284523,0.0009864788,0.00019370728,0.00081897416,0.0005359298,0.0006808779,0.0005636794,0.0006998928],"category_scores_gemma":[0.00046269823,0.00052109634,0.0004669441,0.000017693566,0.000105584404,0.0007340709,0.00014015366,0.00023295119,0.0026368918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013617057,0.00013029322,0.30823055,0.0005031209,0.0020590336,8.9025224e-7,0.0006378003,0.18166462,0.0000042284782,0.2038219,0.259598,0.0432134],"study_design_scores_gemma":[0.0018472915,0.0001387548,0.23266467,0.00059552205,0.00024110291,0.000019789637,0.00027314402,0.5754572,0.000034137847,0.032497633,0.15464315,0.0015875712],"about_ca_topic_score_codex":0.009626275,"about_ca_topic_score_gemma":0.0013156354,"teacher_disagreement_score":0.68274784,"about_ca_system_score_codex":0.006615438,"about_ca_system_score_gemma":0.0005125159,"threshold_uncertainty_score":0.9997241},"labels":[],"label_agreement":null},{"id":"W2977845926","doi":"10.1017/cbo9780511551079.011","title":"International trade and its impact on biological diversity","year":2001,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Externality; Welfare; Natural resource; International trade; Scope (computer science); Free trade; Biodiversity; International economics; Economics; Natural resource economics; Trade barrier; Trade volume; Production (economics); Business; Market economy; Ecology","score_opus":0.10809142609770431,"score_gpt":0.20688631927795637,"score_spread":0.09879489318025206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977845926","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033359554,0.00018683354,0.000042857046,0.000059217255,0.0002018525,0.0001771913,0.0010445828,0.000029952087,0.96489793],"genre_scores_gemma":[0.3851357,0.0019015544,0.00001030324,0.000090223926,0.00009609749,2.9081625e-7,0.00010648634,0.000016546464,0.6126428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916303,0.0000075773933,0.00017957225,0.0004599899,0.000035974837,0.00015383548],"domain_scores_gemma":[0.9994532,0.000029705865,0.00023934383,0.00016547766,0.0000037202724,0.00010855199],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010547974,0.00022971527,0.00032154156,0.0001463996,0.00016275984,0.00002395353,0.00026249536,0.0002772048,0.00013934018],"category_scores_gemma":[0.000004974084,0.0002730748,0.00017232879,0.0000032695968,0.000093712435,0.00009752943,0.00041505435,0.00023057268,0.00010655497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067187764,0.00001632043,0.0026792672,0.0000049669525,0.00015949215,0.00003311926,0.00003224687,0.000016811513,0.0000022350239,0.99242544,0.0041251886,0.00043773113],"study_design_scores_gemma":[0.00081231806,0.0001441065,0.033110715,0.00002549557,0.000024137218,0.000011990349,0.000014385737,0.00039006944,0.000011973448,0.00021018728,0.96478516,0.0004594767],"about_ca_topic_score_codex":0.00006884665,"about_ca_topic_score_gemma":3.120854e-7,"teacher_disagreement_score":0.9922152,"about_ca_system_score_codex":0.00044033397,"about_ca_system_score_gemma":0.0000056232498,"threshold_uncertainty_score":0.99997216},"labels":[],"label_agreement":null},{"id":"W2978792748","doi":"","title":"Economic approaches to balancing use and preservation in parks and protected areas","year":2000,"lang":"en","type":"book","venue":"The Atrium (University of Guelph)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural resource economics; Environmental planning; Geography; Environmental science; Business; Environmental resource management; Economics","score_opus":0.10438993234594726,"score_gpt":0.17532115926828845,"score_spread":0.07093122692234119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978792748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794872,0.000488035,0.00013240348,0.0006382973,0.000036497095,0.0006274305,0.00014223099,0.0000106399575,0.018437263],"genre_scores_gemma":[0.93533206,0.00072414294,0.00039477416,0.000034528126,0.000037475274,0.0000018542183,0.00008289698,0.000018723711,0.06337353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927586,0.000019674952,0.00022270608,0.00033510447,0.000019171614,0.00012745931],"domain_scores_gemma":[0.9993957,0.000057428988,0.00026119602,0.00023467367,0.0000029098512,0.00004805171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003398198,0.00013473927,0.00033140572,0.00020145046,0.00008296756,0.000028260436,0.0001651051,0.00015878395,0.0002040777],"category_scores_gemma":[0.000010886913,0.00017027202,0.00004582284,0.000038380735,0.00009953454,0.0003871115,0.00013604343,0.00014840066,0.00009556155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069611234,0.00014440744,0.8684913,0.0005788236,0.000522671,0.000009167909,0.01532414,0.010279802,0.0001859291,0.08147553,0.011263989,0.0110281445],"study_design_scores_gemma":[0.00045468946,0.000040130988,0.97407085,0.000037695852,0.000019499574,0.0000019157685,0.00017683982,0.0036386666,0.0000013629916,0.008355369,0.013001355,0.0002016118],"about_ca_topic_score_codex":0.0012951284,"about_ca_topic_score_gemma":0.00038539528,"teacher_disagreement_score":0.10557958,"about_ca_system_score_codex":0.00027080913,"about_ca_system_score_gemma":0.00002442498,"threshold_uncertainty_score":0.6943491},"labels":[],"label_agreement":null},{"id":"W2979561356","doi":"10.4103/cs.cs_18_90","title":"Motivational Crowding in Payments for Ecosystem Service Schemes: a Global Systematic Review","year":2019,"lang":"en","type":"article","venue":"Conservation and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Crowding; Crowding out; Payment; Incentive; Ecosystem services; Feeling; Autonomy; Perspective (graphical); Social psychology; Intrinsic motivation; Psychology; Public economics; Economics; Environmental resource management; Ecology; Ecosystem; Microeconomics; Political science; Computer science; Cognitive psychology; Biology","score_opus":0.07737214967004269,"score_gpt":0.23976672032730126,"score_spread":0.16239457065725857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979561356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98952717,0.00409907,0.0019020342,0.0018377682,0.0001232568,0.0014568504,0.000109604945,0.000015222529,0.0009290511],"genre_scores_gemma":[0.98830324,0.001037952,0.0008776768,0.009173011,0.000015234262,0.00018912797,0.00010615875,0.000008702969,0.0002888889],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991202,0.00001219958,0.0005207566,0.00021689916,0.00002426003,0.00010571722],"domain_scores_gemma":[0.9995287,0.000054245604,0.00025873128,0.00011450418,0.000018017561,0.00002578394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006960946,0.00008292935,0.000318399,0.000014213705,0.000047712703,0.00002776018,0.00006105889,0.00005830478,0.00009825114],"category_scores_gemma":[0.00005176326,0.00009411625,0.00007429614,0.000104163504,0.0000061400306,0.00021787387,0.000022166836,0.000033991677,0.00013639391],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026576258,0.000033138393,0.8579195,0.064321704,0.000057694764,3.8835726e-8,0.000302727,0.000035888403,0.000010146604,0.07646362,0.0008424068,0.000010441488],"study_design_scores_gemma":[0.0046516997,0.00007330827,0.7817548,0.025627993,0.00007428053,0.0000063843295,0.001777911,0.16643353,0.000016237802,0.013425582,0.005353165,0.00080512033],"about_ca_topic_score_codex":0.000025694262,"about_ca_topic_score_gemma":0.00002276355,"teacher_disagreement_score":0.16639765,"about_ca_system_score_codex":0.00022439274,"about_ca_system_score_gemma":0.000012857593,"threshold_uncertainty_score":0.38379493},"labels":[],"label_agreement":null},{"id":"W2980752308","doi":"10.1515/jbca-2012-0008","title":"More appropriate discounting: the rate of social time preference and the value of the social discount rate","year":2013,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Discounting; Time preference; Social discount rate; Economics; Shadow price; Stochastic discount factor; Contrast (vision); Value (mathematics); Investment (military); Preference; Econometrics; Shadow (psychology); Microeconomics; Present value; Range (aeronautics); Cost–benefit analysis; Statistics; Mathematics; Finance; Computer science; Capital asset pricing model","score_opus":0.03481651152743741,"score_gpt":0.21386165985612648,"score_spread":0.17904514832868906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980752308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99431944,0.0002867733,0.0002746636,0.004249151,0.000073997326,0.00019581753,0.000059161193,0.0000011690428,0.00053983013],"genre_scores_gemma":[0.9991781,0.00015856033,0.00003275919,0.00013129898,0.00011513978,0.000009240846,0.000004874334,0.000009818857,0.00036021037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985485,0.00009100784,0.0009859783,0.00014742024,0.00007983691,0.0001472203],"domain_scores_gemma":[0.997347,0.00012429192,0.0022524518,0.00019585156,0.000055401903,0.000024992481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020034008,0.000128265,0.00060512975,0.00011047108,0.00027208863,0.00007926319,0.00040334556,0.000062423824,0.00032176587],"category_scores_gemma":[0.00006391848,0.00006871914,0.0005117033,0.0003133863,0.00038751325,0.00028239822,0.00010944582,0.00018298413,0.000022156699],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044974586,0.0004611433,0.72106427,0.000114819704,0.010297171,7.343223e-7,0.03263008,0.039242994,0.0033245946,0.18652649,0.0013187602,0.004569184],"study_design_scores_gemma":[0.00082729216,0.000017753371,0.9593586,0.000008016834,0.00060603005,0.000001048976,0.0010159425,0.019133488,0.00019488769,0.018630346,0.000104272134,0.00010233796],"about_ca_topic_score_codex":0.00036858523,"about_ca_topic_score_gemma":0.00001826932,"teacher_disagreement_score":0.2382943,"about_ca_system_score_codex":0.000066911845,"about_ca_system_score_gemma":0.000016486933,"threshold_uncertainty_score":0.35231104},"labels":[],"label_agreement":null},{"id":"W2984010609","doi":"10.1007/s13253-019-00380-4","title":"Efficient Modelling of Presence-Only Species Data via Local Background Sampling","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Biological and Environmental Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sampling (signal processing); Statistics; Point process; Logistic regression; Sampling design; Sample (material); Sample size determination; Covariate; Mathematics; Computer science; Econometrics; Population; Physics","score_opus":0.19466057214919974,"score_gpt":0.22130984368958095,"score_spread":0.026649271540381214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984010609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86941016,0.0008305721,0.12862745,0.00003328967,0.0001543431,0.00008080995,0.0006669943,0.0000013563629,0.00019504366],"genre_scores_gemma":[0.9880986,0.0010893889,0.010417582,0.00001907362,0.00006001339,3.5051696e-7,0.0001707816,0.0000040728423,0.00014009073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988775,0.000015964708,0.000681642,0.00021741838,0.000060002516,0.00014743529],"domain_scores_gemma":[0.99913454,0.00011760815,0.00054988364,0.00011957134,0.0000046259947,0.00007379917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028738184,0.00012306713,0.00034346938,0.000028118391,0.00004668849,0.000019375204,0.00020019662,0.00007478288,0.0007091675],"category_scores_gemma":[0.00001128921,0.00008281087,0.000050973493,0.000029252691,0.00017199297,0.000114637405,0.00017490133,0.00012836995,0.00008908609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010664942,0.0005185912,0.6700701,0.000052830826,0.00019279135,0.0000047822823,0.00033756832,0.30346286,0.007937889,0.011200499,0.00038576985,0.005729642],"study_design_scores_gemma":[0.00049903535,0.00043244677,0.9477821,0.000020389529,0.000016469952,0.00006260882,0.0012339691,0.046633836,0.00008288174,0.0021698833,0.00085914443,0.00020726513],"about_ca_topic_score_codex":0.000013823385,"about_ca_topic_score_gemma":8.164832e-7,"teacher_disagreement_score":0.27771193,"about_ca_system_score_codex":0.00008783304,"about_ca_system_score_gemma":0.0000026888815,"threshold_uncertainty_score":0.7764887},"labels":[],"label_agreement":null},{"id":"W2986405203","doi":"10.1038/s41598-019-52241-2","title":"Tradeoffs in the value of biodiversity feature and cost data in conservation prioritization","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Carleton University; University of Northern British Columbia","funders":"Leon Levy Foundation; National Aeronautics and Space Administration; Wolf Creek Charitable Foundation; National Science Foundation","keywords":"Biodiversity; Environmental resource management; Prioritization; Variance (accounting); Spatial analysis; Spatial ecology; Habitat; Land use; Measurement of biodiversity; Computer science; Biodiversity conservation; Geography; Ecology; Environmental science; Business; Remote sensing","score_opus":0.08505888457778876,"score_gpt":0.21873382581583617,"score_spread":0.1336749412380474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986405203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962938,0.00028130988,0.00004496852,0.0009222632,0.00060404796,0.00032438873,0.000033519198,0.000002154978,0.0014935875],"genre_scores_gemma":[0.99922085,0.000035516085,0.00017541372,0.0001042785,0.0000048120683,0.0000021088129,0.00027575274,0.0000016555081,0.00017960095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923193,0.000017755025,0.00029649003,0.00034177882,0.000038537768,0.00007349079],"domain_scores_gemma":[0.9992783,0.000026338152,0.00023357803,0.00044565304,0.0000053368017,0.000010783222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023159587,0.000041571657,0.00010742472,0.00010775041,0.000034323675,0.000046465975,0.00011063043,0.000040998482,0.000038788567],"category_scores_gemma":[0.00007042902,0.000041576306,0.00001127828,0.00017677664,0.00006976613,0.00038116195,0.0000546646,0.000050263752,0.000026025158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018704806,0.000027739276,0.99543476,0.000009169353,0.000001689105,0.0000024602095,0.00050402357,0.000103540064,0.000051730243,0.002198034,0.0014848788,0.00018010967],"study_design_scores_gemma":[0.00018370007,0.000007454237,0.9785002,0.000008744712,0.0000017078207,0.0000080862455,0.0003421239,0.0029638975,0.00003764613,0.0050964775,0.012797364,0.00005258537],"about_ca_topic_score_codex":0.00028732457,"about_ca_topic_score_gemma":0.00008763269,"teacher_disagreement_score":0.016934542,"about_ca_system_score_codex":0.000045819765,"about_ca_system_score_gemma":0.000011774069,"threshold_uncertainty_score":0.16954325},"labels":[],"label_agreement":null},{"id":"W2987894272","doi":"10.1007/s00267-019-01219-x","title":"Measuring Recreation Benefit Loss under Climate Change with Revealed and Stated Behavior Data: The Case of Lac Saint-Pierre World Biosphere Reserve (Québec, Canada)","year":2019,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais; Université de Montréal; Université de Sherbrooke","funders":"Ouranos","keywords":"Recreation; Biosphere; Climate change; Revenue; Ecosystem services; Economic surplus; Geography; Forest management; Economics; Natural resource economics; Environmental resource management; Environmental science; Environmental protection; Ecology; Ecosystem; Welfare; Forestry","score_opus":0.0910571849090313,"score_gpt":0.20331974380644172,"score_spread":0.11226255889741042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987894272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99496853,0.0013781042,0.000025304847,0.00068775995,0.00007809733,0.0009188284,0.00041131215,0.000007967112,0.0015240731],"genre_scores_gemma":[0.99658155,0.0009152668,0.0002529458,0.00018778689,0.000019009618,0.000086114655,0.00019349542,0.000028264405,0.0017355909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988467,0.000018030796,0.0003846906,0.0004605878,0.000066643726,0.00022332318],"domain_scores_gemma":[0.998989,0.00002302415,0.00030290487,0.00062900176,0.000001464772,0.000054616663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003719957,0.00016351874,0.00022191404,0.000053065713,0.000121209094,0.000026703989,0.00020021314,0.000029689354,0.000786445],"category_scores_gemma":[0.0000013309295,0.00015044244,0.000023023655,0.00006995145,0.00007638803,0.00030909263,0.0003587761,0.00008525887,0.00007392284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048237554,0.000101684265,0.9880314,0.000076986544,0.0001306668,0.000060124068,0.00013505755,0.00096474634,0.000011592867,0.0050861402,0.0001437043,0.0052096928],"study_design_scores_gemma":[0.0008555836,0.00006128327,0.9923384,0.000038887738,0.0000627722,0.000025337618,0.0012443947,0.001734116,0.00002903185,0.00014651315,0.003234361,0.0002292846],"about_ca_topic_score_codex":0.22687761,"about_ca_topic_score_gemma":0.48551574,"teacher_disagreement_score":0.25863814,"about_ca_system_score_codex":0.00066794537,"about_ca_system_score_gemma":0.000004950678,"threshold_uncertainty_score":0.8611021},"labels":[],"label_agreement":null},{"id":"W2990880201","doi":"10.2196/13355","title":"Web Comparison of Three Contingent Valuation Techniques in Women of Childbearing Age: The Case of Ovulation Induction in Quebec","year":2019,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut universitaire en santé mentale de Montréal; Institut Universitaire en Santé Mentale de Québec; Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Contingent valuation; Respondent; Willingness to pay; Gynecology; Ovulation induction; Medicine; Ovulation; Bid price; Demography; Infertility; Economics; Pregnancy; Internal medicine; Political science; Microeconomics","score_opus":0.20830045980254977,"score_gpt":0.40143878165268226,"score_spread":0.1931383218501325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990880201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978642,0.00022736158,0.0004464464,0.0004678266,0.00010523053,0.00023176403,0.0000028366499,6.861421e-7,0.00065366534],"genre_scores_gemma":[0.999711,0.00012510292,0.00008685208,0.0000071293402,0.000036328413,0.000007132922,0.0000011731003,0.0000054863667,0.00001984322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982243,0.00016958072,0.0011633552,0.000105733285,0.00021017838,0.00012686072],"domain_scores_gemma":[0.99834687,0.00052028394,0.00089721335,0.00011097919,0.00008679701,0.000037860565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0089194,0.00005210631,0.00036186565,0.00057502184,0.000014987083,0.000009990523,0.00018396667,0.00009662425,0.00038914304],"category_scores_gemma":[0.0011559351,0.000044823882,0.00005284835,0.00020888667,0.000119708864,0.00029178362,0.00007483371,0.0006052306,0.000006229523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003076709,0.00046565375,0.90549976,0.000060821418,0.000058853606,0.000012469124,0.008387577,0.00083869643,0.0029556341,0.003769914,0.000030735224,0.077612236],"study_design_scores_gemma":[0.0011547114,0.00047563604,0.9545298,0.00044505944,0.0000028744787,0.000020345651,0.0069349967,0.021516329,0.006616789,0.008119654,0.0001237565,0.00006000806],"about_ca_topic_score_codex":0.00914191,"about_ca_topic_score_gemma":0.0043884316,"teacher_disagreement_score":0.07755222,"about_ca_system_score_codex":0.00061052013,"about_ca_system_score_gemma":0.00008441503,"threshold_uncertainty_score":0.9974563},"labels":[],"label_agreement":null},{"id":"W2991150825","doi":"10.1093/inthealth/ihz079","title":"Association among ecological and behavioural attributes, dengue vector and disease control: a cross-sectional study of the city of Dhaka, Bangladesh","year":2019,"lang":"en","type":"article","venue":"International Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"North South University; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; University of Manitoba","keywords":"Dengue fever; Cross-sectional study; Environmental health; Association (psychology); Vector (molecular biology); Geography; Socioeconomics; Demography; Medicine; Biology; Virology; Psychology; Sociology; Pathology","score_opus":0.07630578157241445,"score_gpt":0.2702212211225567,"score_spread":0.19391543955014223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991150825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978986,0.00011220246,0.00002684802,0.0006335506,0.00037066994,0.0003496928,0.0005048937,0.0000036916033,0.000099896475],"genre_scores_gemma":[0.99949485,0.000024230236,0.000012190503,0.00011150839,0.000029825012,0.00001367801,0.00002292297,0.0000042537104,0.00028654357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991784,0.00003148516,0.000453488,0.0001830359,0.00006622791,0.00008735883],"domain_scores_gemma":[0.9992007,0.00009217328,0.0005462752,0.00007956274,0.000023190092,0.000058084934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005987716,0.000058472306,0.00017361397,0.000042034473,0.000051967076,0.000019163703,0.0000851235,0.000043614244,0.00025974077],"category_scores_gemma":[0.000110460154,0.000055131644,0.000040633375,0.000027378559,0.000042611755,0.00012476984,0.0000531736,0.00007997217,0.000007684143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001972875,0.00019684432,0.99696153,0.000008127767,0.00003789008,7.481664e-8,0.00008876617,0.00008830075,0.0000016867135,0.0025508355,0.00002658392,0.000019599545],"study_design_scores_gemma":[0.0012094371,0.00010293824,0.99593025,0.000004642038,0.0000039802994,4.4023437e-7,0.000027535523,0.0016407344,0.0000017018227,0.0010021362,0.00003007565,0.000046141766],"about_ca_topic_score_codex":0.0011485646,"about_ca_topic_score_gemma":0.00020574346,"teacher_disagreement_score":0.0015962933,"about_ca_system_score_codex":0.0003111908,"about_ca_system_score_gemma":0.000019677906,"threshold_uncertainty_score":0.28439793},"labels":[],"label_agreement":null},{"id":"W2991204790","doi":"10.5539/jsd.v12n6p62","title":"Application of the Theory of Planned Behavior in Predicting US Residents’ Willingness to Pay to Restore Degraded Tropical Rainforest Watersheds","year":2019,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Missouri; U.S. Department of Agriculture","keywords":"Willingness to pay; Rainforest; Theory of planned behavior; Tropical rainforest; Logistic regression; Socioeconomics; Sample (material); Psychology; Economics; Geography; Control (management); Ecology; Mathematics; Statistics; Biology","score_opus":0.027021373493473708,"score_gpt":0.20793884794379655,"score_spread":0.18091747445032286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991204790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749553,0.000041140152,0.0013938778,0.00023862495,0.00013054814,0.0005331718,0.0000032003838,0.0000017426231,0.00016215396],"genre_scores_gemma":[0.9980268,0.000009082336,0.0009469708,0.000066697314,0.000020928182,0.000029499704,0.0000021974677,0.000010640751,0.00088717317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985587,0.000023642924,0.0010052057,0.00013564102,0.00008317794,0.00019363523],"domain_scores_gemma":[0.99906814,0.00004030896,0.00061742176,0.00016486146,0.00004841511,0.000060862207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034552,0.00008812757,0.0002953214,0.0002387019,0.000039681705,0.000012423869,0.0002578172,0.0000592583,0.000034141776],"category_scores_gemma":[0.00008457286,0.00006829171,0.000059302747,0.00018752184,0.000021215023,0.00015748158,0.00008249361,0.00011399063,0.000016677612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014013483,0.0000666445,0.9906042,0.00004978158,0.000017024351,0.0000022133013,0.0026795776,0.0022881895,0.000118318814,0.003687315,0.000022898044,0.0003236517],"study_design_scores_gemma":[0.0005341169,0.00013342577,0.99287844,0.00004694212,0.0000053864514,0.000003043802,0.0029409472,0.00007540914,0.0016269669,0.0009097948,0.0007617398,0.00008376625],"about_ca_topic_score_codex":0.00006819661,"about_ca_topic_score_gemma":0.000014496801,"teacher_disagreement_score":0.00277752,"about_ca_system_score_codex":0.0005770466,"about_ca_system_score_gemma":0.00007380834,"threshold_uncertainty_score":0.2784855},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2994382771","doi":"10.1177/1091142119890369","title":"Social Discount Rates for Seventeen Latin American Countries: Theory and Parameter Estimation","year":2019,"lang":"en","type":"article","venue":"Public Finance Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Latin Americans; Estimation; Economics; Social discount rate; Econometrics; Development economics; Cost–benefit analysis; Political science","score_opus":0.06876530386791381,"score_gpt":0.2826520086393483,"score_spread":0.2138867047714345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994382771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8564897,0.10261305,0.023766464,0.011649272,0.0002480177,0.002351862,0.0003164793,0.00004222978,0.0025228793],"genre_scores_gemma":[0.9333591,0.060342196,0.0021559373,0.002229731,0.000051542214,0.00033211242,0.00012088149,0.000026020709,0.0013825137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902177,0.000025598723,0.0004325675,0.00030038302,0.000023827235,0.00019583381],"domain_scores_gemma":[0.99921596,0.00015223026,0.0004406101,0.00015728018,0.000010599661,0.00002330605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001169386,0.00011971892,0.00043242038,0.000041268235,0.00008217007,0.000057208432,0.000096305856,0.00003303638,0.00027633118],"category_scores_gemma":[0.00015584972,0.0001243802,0.000081997496,0.000086052394,0.00008958676,0.00036208282,0.000031431773,0.000052647498,0.00048055264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011069951,0.00003668488,0.126863,0.0012058413,0.000039135663,6.5995465e-8,0.00017029255,0.00001364373,6.8340813e-7,0.8205215,0.002117263,0.04902082],"study_design_scores_gemma":[0.0007817572,0.00012752826,0.34173167,0.0003977629,0.000032582575,0.000001853604,0.000064662345,0.0060855057,0.0000059963395,0.08786932,0.5623712,0.0005301727],"about_ca_topic_score_codex":0.000016306063,"about_ca_topic_score_gemma":0.0000022011359,"teacher_disagreement_score":0.7326522,"about_ca_system_score_codex":0.00010255596,"about_ca_system_score_gemma":0.00001356308,"threshold_uncertainty_score":0.6176692},"labels":[],"label_agreement":null},{"id":"W2994459335","doi":"","title":"Tourist and Maine Resident Drive Time to the Proposed Katahdin Woods & Waters National Park","year":2015,"lang":"en","type":"article","venue":"Digital Commons - Colby (Colby College)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; National park; Geography; Archaeology; Fishery; Environmental science; Environmental protection; Biology","score_opus":0.06666414067769937,"score_gpt":0.2131154528628489,"score_spread":0.1464513121851495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994459335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8290795,0.00023411862,0.00022868311,0.00905806,0.00024499418,0.0013836379,0.0021894355,0.000059294813,0.15752225],"genre_scores_gemma":[0.97745067,0.000007258867,0.00019376517,0.000644378,0.00011734717,0.0001070054,0.00015988099,0.000033526077,0.021286165],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984726,0.000032148793,0.00058070035,0.00046040653,0.00012704087,0.00032715127],"domain_scores_gemma":[0.9990578,0.00010636661,0.0002023105,0.0003324208,0.000042491967,0.00025858037],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00075962784,0.0002224609,0.0003416589,0.0001555326,0.00024407227,0.0003173606,0.0003260554,0.00008686308,0.0003021627],"category_scores_gemma":[0.00015624988,0.00021198714,0.00008058729,0.00022782835,0.00014213151,0.0005399403,0.00028360076,0.00013430887,0.004043268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003580422,0.00051505247,0.21980245,0.000027541415,0.0003081085,0.000024365445,0.0022955914,0.0028810103,0.00003238149,0.08086368,0.6917794,0.0011124081],"study_design_scores_gemma":[0.0031815036,0.00074010063,0.18677272,0.000038533548,0.000025460897,0.00003536219,0.0011461062,0.0065604267,0.00014281101,0.03155138,0.7687535,0.0010520833],"about_ca_topic_score_codex":0.0000908766,"about_ca_topic_score_gemma":0.00008275989,"teacher_disagreement_score":0.14837115,"about_ca_system_score_codex":0.0005832641,"about_ca_system_score_gemma":0.00006871443,"threshold_uncertainty_score":0.9967322},"labels":[],"label_agreement":null},{"id":"W2994779145","doi":"10.1111/cag.12590","title":"Spatial‐temporal trends in complementary and alternative medicine (CAM) offices in Ontario, Canada","year":2019,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Metropolitan area; Census; Restructuring; Geography; Per capita; Health care; Socioeconomics; Medicine; Business; Economic growth; Environmental health; Population; Economics; Finance","score_opus":0.028548087848068306,"score_gpt":0.1815325616115683,"score_spread":0.1529844737635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994779145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857862,0.0015604834,7.073445e-7,0.0015340184,0.0006859297,0.0002713596,0.00028542907,0.000007847075,0.009868011],"genre_scores_gemma":[0.9977643,0.00037000654,0.000031486597,0.0007678223,0.00003834024,0.000033401753,0.00037956875,0.000025280746,0.000589777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786764,0.000025130417,0.0007136048,0.00062280963,0.000058168647,0.00071262184],"domain_scores_gemma":[0.9990222,0.00005088666,0.00022085724,0.00028736732,0.000011016695,0.00040766833],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033754605,0.00029178915,0.00057129224,0.0039094505,0.00010534864,0.00003170408,0.0002567573,0.00008826571,0.0031275968],"category_scores_gemma":[0.000010782479,0.00035650062,0.00006482333,0.0011271004,0.00035789248,0.0002621141,0.00004153079,0.0002367787,0.000011089795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009427329,0.000009989916,0.98982435,0.000011518898,0.000045909477,0.000022476479,0.0012325016,0.00009319985,8.0233417e-7,0.0060743885,0.0014671417,0.0012082933],"study_design_scores_gemma":[0.0009880539,0.00009663371,0.95828557,0.0000367433,0.000005377606,0.000005197993,0.0033341167,0.0001997606,8.2457024e-7,0.0022765778,0.03439496,0.00037620688],"about_ca_topic_score_codex":0.9999876,"about_ca_topic_score_gemma":0.9999999,"teacher_disagreement_score":0.03292782,"about_ca_system_score_codex":0.0010514841,"about_ca_system_score_gemma":0.00014167884,"threshold_uncertainty_score":0.9998887},"labels":[],"label_agreement":null},{"id":"W2995010809","doi":"10.1155/2019/7219047","title":"Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Crash; Tobit model; Productivity; Willingness to pay; Transport engineering; Engineering; Econometrics; Economics; Computer science; Economic growth","score_opus":0.0306280194560617,"score_gpt":0.24062075934064228,"score_spread":0.2099927398845806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995010809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99121386,0.00004204259,0.007619604,0.00017072419,0.00055483246,0.0002139785,0.000041109288,0.000004366925,0.00013951007],"genre_scores_gemma":[0.98640996,0.000017040376,0.01340892,0.000038657297,0.00006591385,0.0000033979022,0.000007895259,0.000011421102,0.00003680433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899447,0.000007437212,0.00069790153,0.00015021567,0.000046948117,0.00010302233],"domain_scores_gemma":[0.9989772,0.000022559636,0.0008094024,0.00010905184,0.00003429993,0.000047504403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004630598,0.00007662665,0.00028861134,0.00011219327,0.000026623993,0.0000084665,0.00008522104,0.00003511896,0.000072314215],"category_scores_gemma":[0.000038033006,0.00009097812,0.00007970809,0.00010799695,0.000015503503,0.0007481924,0.0000034995087,0.000101007434,0.000041873962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000717181,0.000059627506,0.82082707,0.000043169097,0.000019318846,7.8657337e-7,0.0006752267,0.16625792,0.0046924343,0.00045768652,0.0000071516424,0.006887909],"study_design_scores_gemma":[0.00051307405,0.00015275562,0.991741,0.00004525824,0.000007719935,0.0000015052241,0.00035673002,0.00065235776,0.003877439,0.0023445021,0.00020445886,0.00010322399],"about_ca_topic_score_codex":0.000011427322,"about_ca_topic_score_gemma":0.0000064767523,"teacher_disagreement_score":0.17091392,"about_ca_system_score_codex":0.0001114851,"about_ca_system_score_gemma":0.000012404904,"threshold_uncertainty_score":0.370998},"labels":[],"label_agreement":null},{"id":"W2995261008","doi":"","title":"Estimating Marine Cumulative Effects Using Spatial Data: An Aquaculture Case Study","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Marine spatial planning; Geography; Cumulative effects; Spatial analysis; Marine ecosystem; Cartography; Environmental resource management; Ecosystem; Fishery; Environmental science; Ecology; Remote sensing; Biology","score_opus":0.13605365684788204,"score_gpt":0.28683032121795216,"score_spread":0.15077666437007012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995261008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893453,0.000025224392,0.007717766,0.000016666365,0.00035033893,0.00069429027,0.00005101348,0.000028250823,0.0017711609],"genre_scores_gemma":[0.9827246,7.3598574e-7,0.016799815,0.00005213656,0.00011186418,0.000010369368,0.00012615968,0.000022433018,0.0001518622],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988062,0.00003423619,0.0004520913,0.00047836322,0.00003488399,0.00019427516],"domain_scores_gemma":[0.99890786,0.00005950357,0.00027065483,0.0006908229,0.000005485676,0.000065686276],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005504642,0.00014699885,0.00032100888,0.00006157982,0.000117165655,0.00007139855,0.00019700767,0.00005786105,0.0008356189],"category_scores_gemma":[0.00006124372,0.00015977441,0.000030375722,0.000060860973,0.000021266376,0.0006431942,0.00027911286,0.000098734075,0.0010799009],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007734708,0.00041169106,0.97852176,0.00007912861,0.00011031382,0.00010958988,0.0032486804,0.012493546,0.00002965397,0.0010162679,0.000029043546,0.003942613],"study_design_scores_gemma":[0.0008495936,0.00018360172,0.13529697,0.000011134446,0.000025225263,0.00009399507,0.0010254326,0.85994184,0.0000070124406,0.0023045668,0.000037506674,0.00022314517],"about_ca_topic_score_codex":0.0039109355,"about_ca_topic_score_gemma":0.00021983575,"teacher_disagreement_score":0.8474483,"about_ca_system_score_codex":0.00010356199,"about_ca_system_score_gemma":0.00000691258,"threshold_uncertainty_score":0.99969786},"labels":[],"label_agreement":null},{"id":"W2995817908","doi":"10.4236/gep.2019.712010","title":"Enhancing the Social and Natural Capital of Canadian Agro-Ecosystems through Incentive-Based “Alternative Land Use Services” (ALUS) Programs: Recurring Themes and Emerging Lessons","year":2019,"lang":"en","type":"article","venue":"Journal of Geoscience and Environment Protection","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Agriculture and Agri-Food Canada","keywords":"Incentive; Receipt; Incentive program; Business; Land use; Ecosystem services; Economics; Accounting; Ecosystem; Ecology","score_opus":0.0573542867272369,"score_gpt":0.22193605064457464,"score_spread":0.16458176391733775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995817908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971717,0.0007169551,0.0009760558,0.0006634813,0.00016270502,0.00026371735,0.000009731491,0.0000015249908,0.000034116263],"genre_scores_gemma":[0.9988639,0.00075024005,0.00024423524,0.00004588164,0.000038508893,0.00000645995,0.0000015066695,0.0000054399957,0.000043861917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992754,0.000023672603,0.0003278157,0.00017337772,0.00005858828,0.00014114798],"domain_scores_gemma":[0.9993814,0.000017205914,0.00049709977,0.000056855606,0.0000063316033,0.000041092113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053558446,0.00008608093,0.00017183583,0.00013870907,0.0002252001,0.00007791727,0.00006957569,0.000039312246,0.000015676153],"category_scores_gemma":[0.0000075695243,0.000071193295,0.00003289573,0.00007089899,0.00010183293,0.0007637053,0.000034763365,0.00012903097,0.0000030787917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004224936,0.000060717182,0.96657616,0.00012262323,0.000066583154,0.0000014428817,0.013159711,0.0005643589,0.0044922936,0.001728236,0.0000013412725,0.013184271],"study_design_scores_gemma":[0.0009341071,0.00033252133,0.9714309,0.00014833294,0.000020538264,0.000024223946,0.0062259207,0.0149350185,0.0015228982,0.0019351797,0.0022617448,0.00022863354],"about_ca_topic_score_codex":0.023384973,"about_ca_topic_score_gemma":0.003736426,"teacher_disagreement_score":0.019648548,"about_ca_system_score_codex":0.00012862748,"about_ca_system_score_gemma":0.000010828611,"threshold_uncertainty_score":0.9831184},"labels":[],"label_agreement":null},{"id":"W2997313791","doi":"","title":"The Economics of Invasive Species Management: Uncertainty, Economics, and the Spread of an Invasive Plant Species","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Invasive species; Economics; Ecology; Natural resource economics; Biology","score_opus":0.028691890672604983,"score_gpt":0.17939846684521632,"score_spread":0.15070657617261135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997313791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97672164,0.0045248573,0.00019393936,0.000575802,0.0002281287,0.00028159472,0.00007164728,0.0000032559394,0.017399129],"genre_scores_gemma":[0.8284884,0.16989145,0.000058771177,0.000059075126,0.00005831041,0.0000080055215,0.000009493182,0.000016162581,0.0014103515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981319,0.00007145589,0.00083136914,0.00024452983,0.000026681371,0.0006940635],"domain_scores_gemma":[0.9984053,0.00026464392,0.00095798215,0.00030775229,0.000014015591,0.000050314167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027726672,0.00016907888,0.0004029997,0.00010830207,0.00026624277,0.00007476252,0.0003718875,0.000059890688,0.00006883737],"category_scores_gemma":[0.00008224824,0.00013131088,0.00014140026,0.000049610233,0.0005015979,0.0002840873,0.00006998072,0.0003537647,0.000020934223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007466652,0.000030964587,0.010305262,0.0000088468605,0.0003081126,2.441073e-7,0.00039268678,0.0024436407,0.000006117045,0.9857567,0.000022541059,0.00065021036],"study_design_scores_gemma":[0.00242551,0.00024665098,0.013346701,0.000014104643,0.00004493247,0.00007442353,0.0117129525,0.0004662919,0.0005606105,0.9637981,0.007086707,0.00022298667],"about_ca_topic_score_codex":0.00012116404,"about_ca_topic_score_gemma":0.0024960628,"teacher_disagreement_score":0.16536659,"about_ca_system_score_codex":0.00053699146,"about_ca_system_score_gemma":0.00018753557,"threshold_uncertainty_score":0.53547025},"labels":[],"label_agreement":null},{"id":"W2998067924","doi":"10.1016/j.socscimed.2019.112775","title":"Measuring public preferences in France for potential consequences stemming from re-allocation of healthcare resources","year":2019,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Institut National de la Santé et de la Recherche Médicale","keywords":"Valuation (finance); Health care; Population; Public health; Actuarial science; Public economics; Marginal utility; Population health; Economics; Business; Environmental health; Medicine; Microeconomics; Economic growth; Finance","score_opus":0.1722157464423806,"score_gpt":0.2702231746168092,"score_spread":0.09800742817442862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998067924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909935,0.0010277141,0.00039996486,0.0040617855,0.0004112372,0.0002926758,0.00002721975,0.0000075379985,0.002778354],"genre_scores_gemma":[0.99946445,0.00007160614,0.000089648725,0.00012162121,0.00014076185,0.000021013926,0.000011681593,0.0000048210404,0.00007436448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883944,0.000018265448,0.00048781524,0.00033759224,0.00010347683,0.00021342789],"domain_scores_gemma":[0.9993792,0.00005143804,0.00038751788,0.000106189684,0.000030146368,0.000045480552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00159722,0.00007327168,0.00027943167,0.00016426323,0.00013873694,0.000020457239,0.0002494024,0.00005661959,0.00018931997],"category_scores_gemma":[0.0001205915,0.00007512063,0.000030481695,0.00025864478,0.0005396346,0.0003730226,0.000023954557,0.00006654163,0.000017339924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070245596,0.000017463686,0.96758616,0.000033452357,0.000005294429,7.904472e-8,0.00842789,0.00004528234,0.0025805547,0.018094499,0.000013671033,0.0031886243],"study_design_scores_gemma":[0.0009326056,0.0001385264,0.9516548,0.00009956036,0.0000039161105,1.819556e-7,0.006750539,0.0013113024,0.0005109483,0.03766352,0.0007725066,0.00016158498],"about_ca_topic_score_codex":0.0036068505,"about_ca_topic_score_gemma":0.00018736288,"teacher_disagreement_score":0.019569023,"about_ca_system_score_codex":0.0001666239,"about_ca_system_score_gemma":0.000050594987,"threshold_uncertainty_score":0.5452503},"labels":[],"label_agreement":null},{"id":"W3000567350","doi":"10.1007/s12076-020-00242-5","title":"Payment and provision consequentiality in voluntary contribution mechanism: separate or joint effects?","year":2020,"lang":"en","type":"article","venue":"Letters in Spatial and Resource Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université de Montréal; Université de Sherbrooke","funders":"David Suzuki Foundation","keywords":"Payment; Respondent; Economics; Actuarial science; Political science; Finance","score_opus":0.062262682419361025,"score_gpt":0.2176668640575347,"score_spread":0.15540418163817366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000567350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888732,0.00023588515,0.0020672234,0.008349925,0.00007724884,0.00027769821,0.000011727836,0.0000072926055,0.00009979724],"genre_scores_gemma":[0.9960046,0.000067069486,0.00016365181,0.0036933008,0.00003890574,0.000013782716,0.000004886816,0.0000032783976,0.0000105540885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990728,0.000043632197,0.00031585828,0.00036565837,0.000036706304,0.00016537597],"domain_scores_gemma":[0.9997275,0.00004985831,0.0001198728,0.000047603877,0.0000012579118,0.000053921256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006330478,0.00008751313,0.00020674101,0.000074138,0.000091871436,0.000052099087,0.00006193523,0.000042900178,0.000052332365],"category_scores_gemma":[0.000058502126,0.00007629664,0.000018040737,0.00009946684,0.00021043513,0.00013657566,0.00007301499,0.00008325463,0.000014124766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010594024,0.000053332606,0.9806375,0.000083571664,0.000007904457,0.000020093345,0.002212118,0.0006625065,0.006727072,0.005974631,0.00017975063,0.0033356133],"study_design_scores_gemma":[0.0020391543,0.00047632703,0.9302352,0.000065123684,0.0000057409034,0.000005987898,0.00033315262,0.055249393,0.0034764246,0.0065347925,0.0012351588,0.00034356586],"about_ca_topic_score_codex":0.0011888256,"about_ca_topic_score_gemma":0.00018590428,"teacher_disagreement_score":0.054586887,"about_ca_system_score_codex":0.000057464425,"about_ca_system_score_gemma":0.000005772491,"threshold_uncertainty_score":0.31112868},"labels":[],"label_agreement":null},{"id":"W3005062818","doi":"10.1111/1365-2664.13589","title":"Organic farming benefits birds most in regions with more intensive agriculture","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Organic farming; Agriculture; Intensive farming; Abundance (ecology); Biodiversity; Environmental science; Ecological farming; Intensity (physics); Agroforestry; Mixed farming; Geography; Ecology; Biology","score_opus":0.045078758633881326,"score_gpt":0.1880467663184096,"score_spread":0.14296800768452828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005062818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99104357,0.00021630635,0.00035675341,0.0059028114,0.000100944104,0.00011953986,0.000009190891,0.0000057120906,0.0022451477],"genre_scores_gemma":[0.9958607,0.00019953883,0.0006220089,0.0031369114,0.00012275318,0.0000051650563,0.0000055858354,0.000015377791,0.000031964682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990926,0.0000047173608,0.000540618,0.00017695797,0.000022245127,0.00016290056],"domain_scores_gemma":[0.9992064,0.00003060527,0.00058339647,0.00006976706,0.000025770622,0.00008404309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015623726,0.00010437464,0.00037975737,0.00010852925,0.000038645176,0.000012884097,0.00013781842,0.0001064135,0.00025962808],"category_scores_gemma":[0.000038873026,0.0000944362,0.00004289885,0.00018151953,0.0000425896,0.00011194441,0.00003933658,0.00025655972,0.00015526943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043130916,0.00028064428,0.8163414,0.000047454985,0.00036359823,0.00009434813,0.012203365,0.05575466,0.0030243925,0.10117982,0.00871769,0.0015613242],"study_design_scores_gemma":[0.0036142068,0.0008013754,0.97044814,0.000024534653,0.000038125283,0.00015780012,0.008972681,0.0010459301,0.0008745758,0.0060128313,0.0075681703,0.00044164795],"about_ca_topic_score_codex":0.0000078976245,"about_ca_topic_score_gemma":0.00008615703,"teacher_disagreement_score":0.15410674,"about_ca_system_score_codex":0.00017310125,"about_ca_system_score_gemma":0.000020871197,"threshold_uncertainty_score":0.38509962},"labels":[],"label_agreement":null},{"id":"W3005643187","doi":"10.1002/jwmg.21832","title":"Variation in True Metabolizable Energy Among Aquatic Vegetation and Ducks","year":2020,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Nature Conservancy","keywords":"Ceratophyllum demersum; Waterfowl; Anas; Myriophyllum; Biology; Generalist and specialist species; Aquatic plant; Ecology; Omnivore; Anatidae; Animal science; Botany; Habitat; Macrophyte","score_opus":0.04098873939760392,"score_gpt":0.18545563869038287,"score_spread":0.14446689929277895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005643187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94205797,0.0012685346,0.04775151,0.0028476056,0.00022208744,0.000116732685,0.0000016309651,0.000004994772,0.0057289354],"genre_scores_gemma":[0.99527854,0.0010390268,0.0019221843,0.0015715298,0.00008947953,0.000004376806,0.0000019618467,0.00000904617,0.00008384087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990981,0.00001847535,0.00061374594,0.00013676017,0.000039921142,0.00009296524],"domain_scores_gemma":[0.99936366,0.0000140521715,0.00049634994,0.00006248493,0.0000039095935,0.0000595364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045843545,0.00007309835,0.00022580773,0.00016705328,0.000023836432,0.000036590245,0.00007572903,0.000030391047,0.000057685338],"category_scores_gemma":[0.000024112493,0.00008319964,0.000043584954,0.00010178899,0.000015230692,0.00039110536,0.000032275315,0.000060499846,0.000029313456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042557145,0.0001531194,0.85680556,0.000113358714,0.0002361989,0.00001866622,0.0025911722,0.027637694,0.000027475362,0.10224032,0.001274092,0.008859808],"study_design_scores_gemma":[0.00094047596,0.000067343135,0.95356303,0.000018129102,0.000022733624,0.0000013849727,0.00014804912,0.02513831,0.0000060811562,0.011297482,0.00870136,0.000095616815],"about_ca_topic_score_codex":0.000054993096,"about_ca_topic_score_gemma":0.0000098448545,"teacher_disagreement_score":0.096757494,"about_ca_system_score_codex":0.0000846642,"about_ca_system_score_gemma":0.0000032409284,"threshold_uncertainty_score":0.33927828},"labels":[],"label_agreement":null},{"id":"W3005844365","doi":"10.1111/caje.12431","title":"Stated preferences over job characteristics: A panel study","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Salary; Valuation (finance); Preference; Econometrics; Computer science; Economics; Business; Microeconomics","score_opus":0.39578729517979594,"score_gpt":0.18709077191275378,"score_spread":0.20869652326704216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005844365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944347,0.00025316174,0.000084712876,0.0014164535,0.0009856997,0.0004091019,0.0006759122,0.00000969963,0.0017305674],"genre_scores_gemma":[0.99756,0.00012994048,0.00015320949,0.0012229757,0.0005799503,0.00001861421,0.000032615666,0.00006120948,0.00024143496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970487,0.00004480212,0.0017318323,0.00053713244,0.0000022186252,0.0006353641],"domain_scores_gemma":[0.9964317,0.00006600326,0.0013493192,0.00033071396,0.000047493068,0.0017747771],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074703083,0.0003251722,0.0009631292,0.00044016307,0.00015730134,0.00019959059,0.000625903,0.00015909456,0.0024802142],"category_scores_gemma":[0.00021665664,0.0004309791,0.0002211324,0.000119923076,0.000120421886,0.0007023139,0.000036073798,0.0003715406,0.00039762762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063362895,0.000041441126,0.92109066,0.00002752589,0.00029919425,0.00007440041,0.0055488944,0.0012412809,0.0000053612057,0.069813155,0.0006310113,0.0011636899],"study_design_scores_gemma":[0.0029493207,0.0020437695,0.86260194,0.000049854527,0.000081789876,0.00009545373,0.0031722907,0.0058426647,0.000023840841,0.09945978,0.022469116,0.0012101971],"about_ca_topic_score_codex":0.06351514,"about_ca_topic_score_gemma":0.57810456,"teacher_disagreement_score":0.5145894,"about_ca_system_score_codex":0.0013655866,"about_ca_system_score_gemma":0.0005065888,"threshold_uncertainty_score":0.9998142},"labels":[],"label_agreement":null},{"id":"W3007393097","doi":"10.1016/j.resourpol.2020.101614","title":"Mining conflict in the Dominican Republic: The case of Loma Miranda","year":2020,"lang":"en","type":"article","venue":"Resources Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estimation; Quarter (Canadian coin); Metropolitan area; Geography; Willingness to pay; Dilemma; Socioeconomics; Economics; Archaeology; Mathematics","score_opus":0.1465502776952495,"score_gpt":0.2675095220422223,"score_spread":0.12095924434697278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007393097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9649458,0.00055404846,0.000013958527,0.0134862345,0.00001987292,0.00015709036,0.000041982374,0.0000064782453,0.02077455],"genre_scores_gemma":[0.9961244,0.000082057966,0.000043628814,0.0034015302,0.00019342684,0.000014984032,0.000004317212,0.00001061546,0.00012507044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909586,0.00004779955,0.00047967862,0.00019598537,0.000020713036,0.0001599427],"domain_scores_gemma":[0.9992447,0.00016847727,0.0002739866,0.0002676455,0.0000022903282,0.00004290229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006959463,0.00008435013,0.0002090307,0.000079291785,0.00007509374,0.000041170915,0.00027518123,0.000046018748,0.00016046701],"category_scores_gemma":[0.00018660622,0.000062551604,0.00008243536,0.00022174785,0.00012196829,0.0000752643,0.000060682294,0.00010085157,0.00006977847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001556516,0.00022984833,0.37216535,0.00011095271,0.00018733041,0.0001435709,0.2727868,0.0018213169,0.00007213741,0.3087316,0.010450264,0.033145197],"study_design_scores_gemma":[0.00199952,0.00023365917,0.53638273,0.000015399693,0.000014202309,0.00017475135,0.014368436,0.008173364,0.00007320834,0.002557213,0.43568966,0.000317853],"about_ca_topic_score_codex":0.0027194847,"about_ca_topic_score_gemma":0.00010800598,"teacher_disagreement_score":0.42523938,"about_ca_system_score_codex":0.000041562496,"about_ca_system_score_gemma":0.000009207931,"threshold_uncertainty_score":0.41110656},"labels":[],"label_agreement":null},{"id":"W3007823588","doi":"10.1007/s00199-023-01513-0","title":"Revealed statistical consumer theory","year":2023,"lang":"en","type":"article","venue":"Economic Theory","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Statistic; Statistical theory; Econometrics; Variance (accounting); Preference; Distribution (mathematics); Mathematics; Economics; Statistics","score_opus":0.06764607436158165,"score_gpt":0.22899508178617922,"score_spread":0.16134900742459757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007823588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8627145,0.0007903481,0.0073431544,0.00034050667,0.0013609959,0.00031876072,0.00078711286,0.0002442634,0.12610032],"genre_scores_gemma":[0.98248106,0.00030553553,0.00034190543,0.0004291654,0.00016870303,0.000054469278,0.0001534948,0.000051412244,0.016014235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983906,0.00008123801,0.0006404531,0.00050221453,0.000016192329,0.00036930759],"domain_scores_gemma":[0.99879223,0.000457823,0.00022520985,0.00041004224,0.0000025460142,0.000112177484],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026179103,0.00017668013,0.0003669024,0.00018981066,0.00012543036,0.000046930338,0.00022780779,0.00010628572,0.016154118],"category_scores_gemma":[0.00011363868,0.00021850562,0.00010561108,0.00006009725,0.00019253316,0.00021764028,0.00009905428,0.00013150483,0.10372681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029757666,0.000017301307,0.04204795,0.000008024865,0.00006624559,0.0000030480726,0.00020970496,0.00021739042,0.000009018568,0.9460831,0.008924078,0.0023843374],"study_design_scores_gemma":[0.0005679844,0.000027270307,0.15888605,0.000004578849,0.000009068519,0.000004446089,0.00022877257,0.0010669815,0.000028666424,0.80887026,0.030014182,0.00029172027],"about_ca_topic_score_codex":0.000023294573,"about_ca_topic_score_gemma":0.0000045727734,"teacher_disagreement_score":0.13721286,"about_ca_system_score_codex":0.0002653979,"about_ca_system_score_gemma":0.000020038935,"threshold_uncertainty_score":0.98474526},"labels":[],"label_agreement":null},{"id":"W3008047404","doi":"10.1017/sus.2020.2","title":"Use your power for good: plural valuation of nature – the Oaxaca statement","year":2020,"lang":"en","type":"article","venue":"Global Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; Vlaamse regering; United Nations Educational, Scientific and Cultural Organization; Styrelsen för Internationellt Utvecklingssamarbete; Gordon and Betty Moore Foundation","keywords":"Plural; Normative; Valuation (finance); Sustainability; Legislation; Environmental ethics; Sociology; Epistemology; Political science; Positive economics; Law and economics; Business; Economics; Law; Accounting","score_opus":0.102083564013866,"score_gpt":0.27383098040589887,"score_spread":0.1717474163920329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008047404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773945,0.00029623957,0.008621071,0.011102939,0.00015602076,0.0010076263,0.0007421112,0.000015750407,0.0006637135],"genre_scores_gemma":[0.9986316,0.000012716724,0.00030176196,0.00073114084,0.0000366291,0.000050557697,0.000053782824,0.0000069552975,0.00017486255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998869,0.000029078477,0.0005319782,0.00032184235,0.00004033619,0.00020779255],"domain_scores_gemma":[0.9992782,0.000050190538,0.00030659468,0.00024027334,0.00006341666,0.000061348896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007491071,0.00011057862,0.00021315081,0.000012507001,0.00008373967,0.00004675371,0.00016748316,0.00010236195,0.00013815497],"category_scores_gemma":[0.00060169504,0.00010133248,0.00013373671,0.000107554115,0.000066167435,0.00038355385,0.00007568113,0.00009465721,0.000018986646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008591072,0.00007911195,0.6467347,0.000063523046,0.00004419707,1.7494295e-7,0.0004841694,0.0021056954,0.0000040610585,0.34845534,0.0012666404,0.0006764846],"study_design_scores_gemma":[0.00057213294,0.00019060868,0.77568823,0.0000016447578,0.000013584578,2.721881e-7,0.0012161471,0.0033717365,0.000049506114,0.1898502,0.028898867,0.00014707631],"about_ca_topic_score_codex":0.00026077105,"about_ca_topic_score_gemma":0.000014725337,"teacher_disagreement_score":0.15860514,"about_ca_system_score_codex":0.00094088336,"about_ca_system_score_gemma":0.000043246215,"threshold_uncertainty_score":0.41322187},"labels":[],"label_agreement":null},{"id":"W3008635429","doi":"10.1139/cjz-2019-0178","title":"Evaluating policy-relevant surrogate taxa for biodiversity conservation: a case study from British Columbia, Canada","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Canada Research Chairs","keywords":"Taxon; Habitat; Biology; Pairwise comparison; Biodiversity; Ecology; Umbrella species; Environmental resource management; Endangered species; Economics","score_opus":0.14295929049870454,"score_gpt":0.23412306320834508,"score_spread":0.09116377270964054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008635429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926837,0.000383809,0.00021354818,0.0046145148,0.0003983192,0.00023695544,0.0013935227,0.000002055665,0.00007356979],"genre_scores_gemma":[0.9956375,0.000009538725,0.00037338922,0.0036850355,0.00018505748,0.000004171567,0.000022533724,0.000007710313,0.00007510261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989539,0.00004652132,0.0005611712,0.00019676864,0.000025120356,0.00021656642],"domain_scores_gemma":[0.998846,0.0001126956,0.0005175008,0.00008505298,0.000049024566,0.0003897571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004865092,0.000067773115,0.00032318305,0.000056907844,0.0002665829,0.00009097448,0.00014837807,0.0000566208,0.00088686595],"category_scores_gemma":[0.00050450925,0.00012423364,0.000065170025,0.000080102494,0.000054782642,0.00012558448,0.000015977052,0.00013433924,0.000023334354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000580935,0.000012370965,0.98762894,0.00000393175,0.000088437984,0.00078930473,0.00066322036,0.00023456245,0.0000012602169,0.000030492707,0.009969304,0.00057235966],"study_design_scores_gemma":[0.0028214192,0.00073634164,0.9762465,0.0000073141528,0.000055796947,0.00072855916,0.005084956,0.0017702593,0.0000018203199,0.0016350582,0.0106555065,0.00025651773],"about_ca_topic_score_codex":0.9977016,"about_ca_topic_score_gemma":0.9995673,"teacher_disagreement_score":0.011382494,"about_ca_system_score_codex":0.0006831822,"about_ca_system_score_gemma":0.001239351,"threshold_uncertainty_score":0.971056},"labels":[],"label_agreement":null},{"id":"W3010771737","doi":"10.2147/ceor.s234298","title":"&lt;p&gt;Stated Preferences for Attributes of a &lt;em&gt;CYP2C19&lt;/em&gt; Pharmacogenetic Test Among the General Population Presented with a Hypothetical Acute Coronary Syndrome Scenario&lt;/p&gt;","year":2020,"lang":"en","type":"article","venue":"ClinicoEconomics and Outcomes Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Eli Lilly (Canada); University of Ottawa; University of Toronto","funders":"","keywords":"Medicine; Acute coronary syndrome; Turnaround time; Test (biology); Point of care; CYP2C19; Pharmacogenetics; Willingness to pay; Population; Preference; Family medicine; Emergency medicine; Internal medicine; Statistics; Computer science; Nursing; Environmental health","score_opus":0.15448870244248053,"score_gpt":0.3364111831194406,"score_spread":0.1819224806769601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010771737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923788,0.0010993228,0.00023567869,0.002448681,0.00019888094,0.0017754318,0.0013829097,0.000035740548,0.00044456273],"genre_scores_gemma":[0.99457246,0.0022694,0.0007736027,0.00035341547,0.00011457654,0.00026246335,0.00040911068,0.00008599183,0.0011589704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960512,0.00014761086,0.0017168619,0.001100776,0.0001774708,0.00080606865],"domain_scores_gemma":[0.99682796,0.001415793,0.0007139496,0.0005605507,0.00010304203,0.00037868234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020938555,0.0004263525,0.0011169025,0.00026940755,0.00040866167,0.00026224597,0.00068809337,0.00026912193,0.00043312876],"category_scores_gemma":[0.00042594929,0.00036967796,0.00028907755,0.00025995812,0.0005827512,0.0004116896,0.0004038517,0.00041886023,0.00015795781],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035331523,0.00027849223,0.98859066,0.00010909245,0.0005440072,0.000008274011,0.00053933315,0.0014190678,0.00037704446,0.0039978637,0.0011274104,0.0026554386],"study_design_scores_gemma":[0.002998973,0.0010412426,0.90091145,0.000028587961,0.00008705287,0.00001608915,0.000117936266,0.08790139,0.000110692796,0.0033929907,0.0029488606,0.00044476226],"about_ca_topic_score_codex":0.00005380983,"about_ca_topic_score_gemma":0.00024554192,"teacher_disagreement_score":0.08767924,"about_ca_system_score_codex":0.00022704822,"about_ca_system_score_gemma":0.00009783144,"threshold_uncertainty_score":0.99987555},"labels":[],"label_agreement":null},{"id":"W3012340604","doi":"10.18280/ijdne.150101","title":"Economic Valuation of Ecosystem Services by Using the Analytic Hierarchy Process and the Analytic Network Process. Comparative Analysis Between Both Methods in the Albufera Natural Park of València (Spain)","year":2020,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Natural park; Valuation (finance); Analytic network process; Process (computing); Ecosystem services; Environmental science; Environmental resource management; Ecosystem; Engineering; Operations research; Computer science; Ecology; Business; Biology","score_opus":0.06579697048454985,"score_gpt":0.3173241293774418,"score_spread":0.25152715889289196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012340604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556,0.0055020275,0.036947187,0.0013943213,0.00012330082,0.00028181967,0.00007479345,0.0000017939672,0.000074746604],"genre_scores_gemma":[0.9975505,0.00050746364,0.0014585516,0.00030276523,0.00013872767,0.00000427898,0.000026714537,0.000007964919,0.000003044229],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980985,0.00029886092,0.0011315629,0.0002118377,0.00012894775,0.0001303061],"domain_scores_gemma":[0.9972112,0.0007463067,0.0018114151,0.00011318661,0.00007950973,0.000038352176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033091751,0.00015614707,0.00067694613,0.00021129867,0.0000777879,0.0000849929,0.00049419154,0.00010322958,0.000011532467],"category_scores_gemma":[0.000058874113,0.000101014906,0.00017638138,0.00033286036,0.000121479155,0.00036058598,0.000042194282,0.00040219087,5.887871e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035620376,0.000044425353,0.4982173,0.000084969455,0.0028274055,0.0000014194379,0.008721892,0.48389742,0.000025041321,0.00492851,0.00002361532,0.0008717968],"study_design_scores_gemma":[0.00094233,0.00007332239,0.071170285,0.000040636525,0.00042777046,0.000010083159,0.0023728271,0.9121901,0.000030891526,0.012596902,0.00002996283,0.000114902294],"about_ca_topic_score_codex":0.00004881788,"about_ca_topic_score_gemma":0.00010374788,"teacher_disagreement_score":0.42829266,"about_ca_system_score_codex":0.00012475059,"about_ca_system_score_gemma":0.000045001492,"threshold_uncertainty_score":0.41192684},"labels":[],"label_agreement":null},{"id":"W3013833742","doi":"10.7717/peerj.9258","title":"Exact integer linear programming solvers outperform simulated annealing for solving conservation planning problems","year":2020,"lang":"en","type":"article","venue":"PeerJ","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Northern British Columbia","funders":"Cornell Lab of Ornithology","keywords":"Solver; Integer programming; Computer science; Linear programming; Mathematical optimization; Simulated annealing; Stakeholder; Algorithm; Mathematics","score_opus":0.20089557883633083,"score_gpt":0.26008278577610244,"score_spread":0.059187206939771614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013833742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9310776,0.0005000268,0.063500606,0.0023126632,0.0002878498,0.00088266295,0.00012488423,0.0001356613,0.0011780417],"genre_scores_gemma":[0.9942313,0.000013534798,0.0041596647,0.000808784,0.0001733178,0.000044490793,0.00036559842,0.000034213674,0.00016908978],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988568,0.000003892356,0.00050299807,0.00034854055,0.000028433795,0.0002593417],"domain_scores_gemma":[0.9994504,0.00006306136,0.00028046698,0.0001048172,0.000017779492,0.00008347162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003900556,0.00013540787,0.00025778092,0.000060152186,0.00014946255,0.00006648488,0.000105713836,0.000088291235,0.00024068597],"category_scores_gemma":[0.00020546546,0.00016694545,0.0000972581,0.000083206716,0.000021996204,0.00035029222,0.00003774021,0.000118185635,0.00024235259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007464533,0.00006715146,0.664846,0.0003136529,0.00014553028,0.0000015415436,0.008568409,0.315525,0.00043975067,0.0030306024,0.0027219935,0.004265747],"study_design_scores_gemma":[0.00086065603,0.00012902272,0.010409037,0.00004064886,0.000010624014,6.3512897e-7,0.00041317247,0.9522216,0.0002707531,0.000609478,0.03476698,0.0002674415],"about_ca_topic_score_codex":0.00007799133,"about_ca_topic_score_gemma":0.000002926872,"teacher_disagreement_score":0.65443695,"about_ca_system_score_codex":0.000119210956,"about_ca_system_score_gemma":0.000011214287,"threshold_uncertainty_score":0.68078375},"labels":[],"label_agreement":null},{"id":"W3013887788","doi":"10.1111/cjag.12224","title":"Testing hypothetical bias in a framed field experiment","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Respondent; Willingness to pay; Economics; Preference; Econometrics; Field experiment; Revealed preference; Experimental economics; Choice set; Contrast (vision); Statistics; Microeconomics; Mathematics; Computer science","score_opus":0.19341806477326315,"score_gpt":0.18400097568785517,"score_spread":0.009417089085407976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013887788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823164,0.00064650667,0.00003426483,0.010591693,0.0007255065,0.0002292409,0.00009429162,0.000007877206,0.0053542424],"genre_scores_gemma":[0.9962189,0.000041448882,0.0008686653,0.002151974,0.0005476763,0.000013656646,0.000015231506,0.000029726363,0.00011270114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971679,0.000025655716,0.0016229126,0.0004700168,0.0000074212594,0.0007061183],"domain_scores_gemma":[0.9972621,0.00016996221,0.0008762552,0.0001891841,0.0000337427,0.0014687624],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048318104,0.0002957526,0.000795604,0.00029464593,0.00010996038,0.0001418594,0.00049480185,0.00018791665,0.0011569026],"category_scores_gemma":[0.0005122389,0.00032092643,0.00024133996,0.00016481892,0.00008453824,0.00057913736,0.000033567056,0.00039397323,0.0003919584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009597043,0.00008436252,0.82596344,0.0000799631,0.00030100677,0.0001723847,0.010449315,0.024010763,0.00024186488,0.12902948,0.005338979,0.0042324685],"study_design_scores_gemma":[0.002882942,0.0014732777,0.94243735,0.000116412106,0.000034459365,0.00035684873,0.004662051,0.003069818,0.0005609667,0.01508997,0.027884806,0.0014311095],"about_ca_topic_score_codex":0.019825293,"about_ca_topic_score_gemma":0.11788324,"teacher_disagreement_score":0.116473906,"about_ca_system_score_codex":0.001830128,"about_ca_system_score_gemma":0.00022741067,"threshold_uncertainty_score":0.9999243},"labels":[],"label_agreement":null},{"id":"W3014001166","doi":"10.1002/aqc.3320","title":"Characterizing tourism benefits associated with top‐predator conservation in coastal British Columbia","year":2020,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Forests; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tourism; Otter; Revenue; Wildlife; Ecotourism; Business; Fishery; Environmental resource management; Ecosystem services; Recreation; Marine ecosystem; Geography; Environmental planning; Natural resource economics; Ecosystem; Ecology; Economics","score_opus":0.04568266093142017,"score_gpt":0.17680419673796333,"score_spread":0.13112153580654315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014001166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955677,0.000077476296,0.0002231793,0.0026998946,0.00009958129,0.0004491842,0.00026018242,0.000041470706,0.0005813507],"genre_scores_gemma":[0.99560267,0.00007136846,0.00020026458,0.0022978005,0.00006775844,0.000070094,0.0011135495,0.000027236907,0.00054924365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847436,0.000039451024,0.00078163587,0.00042211293,0.00005497223,0.00022749472],"domain_scores_gemma":[0.99926704,0.000072772986,0.00040753378,0.00013317306,0.000018292267,0.000101186306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004406672,0.00013652061,0.00040831792,0.00005592874,0.000101346544,0.000334701,0.00009096985,0.00010426903,0.0008320557],"category_scores_gemma":[0.00010927002,0.00020805724,0.00003503287,0.00015909025,0.00003864828,0.0004932831,0.00007834627,0.00011721739,0.00010678796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011716483,0.000037846647,0.99729943,0.000038167425,0.000039453902,0.000007336369,0.00030874528,0.000015667934,0.00003514191,0.00025762466,0.0014327433,0.0005161106],"study_design_scores_gemma":[0.0017799465,0.00012687231,0.792654,0.00008761785,0.000011330328,0.000008302288,0.00014305748,0.19824106,0.000016838463,0.0006091943,0.0060251104,0.00029671213],"about_ca_topic_score_codex":0.20483229,"about_ca_topic_score_gemma":0.79320824,"teacher_disagreement_score":0.588376,"about_ca_system_score_codex":0.0000835681,"about_ca_system_score_gemma":0.000018806128,"threshold_uncertainty_score":0.91104263},"labels":[],"label_agreement":null},{"id":"W3015160970","doi":"10.1016/j.reseneeco.2020.101164","title":"Does attribute order influence attribute-information processing in discrete choice experiments?","year":2020,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz","keywords":"Sample (material); Order (exchange); Econometrics; Attendance; Valuation (finance); Discrete choice; Welfare; Information processing; Computer science; Statistics; Mathematics; Economics; Psychology; Cognitive psychology","score_opus":0.04197933247948922,"score_gpt":0.20935331348384115,"score_spread":0.1673739810043519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015160970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926966,0.00057225546,0.0019580266,0.0019728676,0.000060688024,0.00007744114,0.00008341865,0.000031733816,0.0025469603],"genre_scores_gemma":[0.99626607,0.0006507813,0.00023884575,0.0023132563,0.00010215238,0.00003440081,0.00014148443,0.000020140678,0.00023286293],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986265,0.0000121732955,0.0006872839,0.00037090515,0.000019129724,0.00028405475],"domain_scores_gemma":[0.9993413,0.000023127144,0.00032852948,0.00016018929,0.000008042066,0.00013883154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001949296,0.00018623381,0.00033572843,0.00010283683,0.00011068361,0.00014756502,0.00015967617,0.00011898207,0.00009654825],"category_scores_gemma":[0.00005183028,0.00018379976,0.00004627601,0.00011653702,0.00006151661,0.0012835629,0.00011714492,0.000108073305,0.00010382996],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003234319,0.000030875894,0.94680345,0.00005292814,0.000026457024,8.5287905e-7,0.0017892024,0.033981916,0.00002314483,0.0109108295,0.0002065993,0.006141372],"study_design_scores_gemma":[0.0020391615,0.00010190978,0.2767604,0.000036004556,0.000010273561,0.0000028313013,0.0015767784,0.09491263,0.00041015784,0.0014142144,0.6219114,0.0008242257],"about_ca_topic_score_codex":0.0004248719,"about_ca_topic_score_gemma":0.000058028974,"teacher_disagreement_score":0.67004305,"about_ca_system_score_codex":0.0001690702,"about_ca_system_score_gemma":0.0000128653755,"threshold_uncertainty_score":0.7495137},"labels":[],"label_agreement":null},{"id":"W3015569507","doi":"10.3386/w26956","title":"The Value of Urgency: Evidence from Real-Time Congestion Pricing","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Value of time; Toll; Economics; Value (mathematics); Microeconomics; Econometrics; Transaction cost; Discrete choice; Time value of money; Willingness to pay; Constant (computer programming); Travel time; Computer science","score_opus":0.5583963604412987,"score_gpt":0.449228599664057,"score_spread":0.10916776077724172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015569507","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18846023,0.011397221,0.00007355359,0.0037376962,0.0017001549,0.0017146782,0.0014609647,0.00003397407,0.79142153],"genre_scores_gemma":[0.9600258,0.03299872,0.00042356705,0.000013374878,0.0008193387,0.0001008721,0.0005661893,0.00006309578,0.0049890596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963788,0.00014526234,0.0019300163,0.0007497119,0.0004488715,0.0003473585],"domain_scores_gemma":[0.99475414,0.002684732,0.0016395802,0.00048589762,0.00032382063,0.00011185395],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008355561,0.00023446871,0.0008050484,0.00037509197,0.00020044678,0.00006410456,0.0007543587,0.00036225287,0.0015136399],"category_scores_gemma":[0.0030244715,0.00024548935,0.0002747489,0.00016245687,0.00039297336,0.00031241882,0.00027328412,0.0005287095,0.0017182031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021667604,0.00016270549,0.13910986,0.00036082848,0.0011480357,0.000002082736,0.00066033273,0.009051528,0.0014048112,0.7655404,0.07926867,0.0030740395],"study_design_scores_gemma":[0.00064033933,0.00029042515,0.23537675,0.00049219874,0.000044719884,0.0000042289225,0.000114601426,0.019223258,0.00084993045,0.72506356,0.017291503,0.00060847023],"about_ca_topic_score_codex":0.009074299,"about_ca_topic_score_gemma":0.00009768887,"teacher_disagreement_score":0.78643245,"about_ca_system_score_codex":0.0025824977,"about_ca_system_score_gemma":0.0011880585,"threshold_uncertainty_score":0.99999976},"labels":[],"label_agreement":null},{"id":"W3016573805","doi":"10.1139/cjfr-2019-0291","title":"Evaluation of non-market environmental services in smallholder forest plantations with choice experiments in Dormaa forest district, Ghana","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"International Tropical Timber Organization","keywords":"Forest management; Ranking (information retrieval); Ecosystem services; Business; Socioeconomic status; Estimation; Conjoint analysis; Environmental resource management; Agroforestry; Geography; Forestry; Preference; Economics; Environmental science; Ecology; Mathematics; Statistics","score_opus":0.15435137548218528,"score_gpt":0.29038617800596256,"score_spread":0.13603480252377728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016573805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947163,0.0008280382,0.000068341506,0.00031450202,0.000051713516,0.0003815571,0.000117046904,8.7048085e-7,0.003521631],"genre_scores_gemma":[0.99956816,0.00007981066,0.00011008892,0.00004915514,0.00006137483,0.000029826799,0.000049747465,0.000019176814,0.00003262617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831694,0.0000899825,0.0007397139,0.00023065726,0.0002443203,0.00037836007],"domain_scores_gemma":[0.99902576,0.000092213966,0.00033454175,0.000152039,0.000042141462,0.0003533226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022527492,0.00012158601,0.0002903547,0.000691872,0.000081091915,0.00005162526,0.0003271339,0.0000799293,0.0006812145],"category_scores_gemma":[0.00010553313,0.0001307513,0.000052761636,0.00033210954,0.00013466296,0.00050124666,0.000029115155,0.00031617327,0.00004667286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036734604,0.00005453864,0.98323286,0.00002568505,0.000030045609,0.000016691354,0.0015702692,0.014299385,0.000015371046,0.00018417084,0.00012268491,0.00041158983],"study_design_scores_gemma":[0.0018626619,0.00025811975,0.97485435,0.000070212234,0.000009153995,0.0000067211167,0.0018034778,0.02009252,0.00004102546,0.0006591745,0.0002247716,0.00011779232],"about_ca_topic_score_codex":0.017429361,"about_ca_topic_score_gemma":0.22803608,"teacher_disagreement_score":0.21060671,"about_ca_system_score_codex":0.0009976265,"about_ca_system_score_gemma":0.00032771312,"threshold_uncertainty_score":0.9891137},"labels":[],"label_agreement":null},{"id":"W3016741976","doi":"10.2139/ssrn.3577507","title":"Stated Benefits from Urban Afforestation in an Arid City: A Contingent Valuation in Mexicali, Baja California, Mexico","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Contingent valuation; Afforestation; Arid; Valuation (finance); Geography; Environmental science; Forestry; Economics; Willingness to pay; Geology; Finance","score_opus":0.07716607314550719,"score_gpt":0.22361670766169364,"score_spread":0.14645063451618645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016741976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862683,0.001789848,0.009790109,0.0015090154,0.00008669674,0.00021575391,0.00010004568,0.000014653256,0.00022562104],"genre_scores_gemma":[0.9974347,0.0015409688,0.00016839843,0.00043778785,0.00012590432,0.000015003658,0.00022512286,0.000024719544,0.000027395108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776715,0.00006919962,0.0008408735,0.0003764131,0.000071497714,0.0008748716],"domain_scores_gemma":[0.99931407,0.00003309231,0.00040613548,0.00011597752,0.000013001146,0.000117703385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001667632,0.00015509207,0.00031389893,0.00018035955,0.00006954153,0.0000693771,0.0001702186,0.000103596765,0.00026225342],"category_scores_gemma":[0.00009527959,0.00018961885,0.00006642598,0.0001877961,0.000022919481,0.0004857893,0.000027009712,0.0007330323,0.0002109041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007047396,0.00010658108,0.9396602,0.0000022914273,0.0000353763,0.0000014977186,0.0013478439,0.009841846,0.000059082664,0.044413496,0.000019537816,0.0044417675],"study_design_scores_gemma":[0.0023535509,0.0003322191,0.6221614,0.000016080843,0.000011463454,0.0000036315648,0.0012463721,0.08892591,0.0000784846,0.28419635,0.00037358457,0.00030097674],"about_ca_topic_score_codex":0.0010102347,"about_ca_topic_score_gemma":0.005872608,"teacher_disagreement_score":0.3174988,"about_ca_system_score_codex":0.0015723875,"about_ca_system_score_gemma":0.0001673678,"threshold_uncertainty_score":0.77324325},"labels":[],"label_agreement":null},{"id":"W3016893566","doi":"10.1111/geb.13080","title":"Improved β‐diversity estimators based on multiple‐site dissimilarity: Distinguishing the sample from the population","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Works and Government Services Canada; Natural Resources Canada; Canadian Forest Service","funders":"AgroParisTech","keywords":"Estimator; Statistics; Nestedness; Sample (material); Diversity (politics); Sample size determination; Population; Diversity index; Mathematics; Econometrics; Ecology; Biology; Biodiversity; Demography; Species richness; Sociology","score_opus":0.04456418420825236,"score_gpt":0.198522805509489,"score_spread":0.15395862130123664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016893566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893911,0.00014694396,0.0009795293,0.0067799482,0.00021223984,0.00020187625,0.002013582,0.000027039481,0.0002477673],"genre_scores_gemma":[0.9934432,0.000023581833,0.00041433665,0.005735583,0.00007175808,0.0000069657326,0.0002998123,0.000004077035,6.878651e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924815,0.00003424906,0.00021408539,0.00032208135,0.000022290984,0.00015912304],"domain_scores_gemma":[0.9992854,0.00032756827,0.00017195694,0.00014949156,0.000004271183,0.00006129893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023529808,0.00011412093,0.00016492937,0.000018695138,0.0006342379,0.000052034196,0.00016587236,0.00009539258,0.000097505086],"category_scores_gemma":[0.00031328332,0.000087003464,0.00009933895,0.00013171675,0.0001283725,0.00007986422,0.00015684777,0.00011044133,0.000028625414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003113282,0.000022266297,0.99684316,0.0000020677023,0.000028509403,3.5818667e-7,0.00008551525,0.00020526719,6.9555705e-7,0.0021749267,0.00019226606,0.00041383007],"study_design_scores_gemma":[0.00039671102,0.000063409076,0.9450889,0.0000020304456,0.000017712848,1.6801529e-7,0.000048352013,0.046628203,0.0000011639669,0.0068962653,0.00075550773,0.000101554586],"about_ca_topic_score_codex":0.005736727,"about_ca_topic_score_gemma":0.0009210859,"teacher_disagreement_score":0.051754244,"about_ca_system_score_codex":0.00004095927,"about_ca_system_score_gemma":0.0000030510473,"threshold_uncertainty_score":0.86722535},"labels":[],"label_agreement":null},{"id":"W3017368587","doi":"10.1002/eap.2132","title":"The economics of conservation debt: a natural capital approach to revealed valuation of ecological dynamics","year":2020,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Natural capital; Natural resource economics; Sustainability; Valuation (finance); Ecological economics; Ecosystem services; Threatened species; Economics; Debt; Natural resource; Asset (computer security); Business; Ecology; Environmental resource management; Ecosystem; Finance; Habitat","score_opus":0.09573407828485295,"score_gpt":0.21856078795211348,"score_spread":0.12282670966726053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017368587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95645845,0.00015465346,0.029634481,0.0050159907,0.000064146036,0.0011370294,0.00015386469,0.000024167091,0.007357237],"genre_scores_gemma":[0.9928872,0.00009224198,0.005506389,0.0007465429,0.00005017439,0.0004516819,0.00014547305,0.000010096667,0.000110178706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99852574,0.000032204247,0.00086914917,0.00036501067,0.000033061355,0.00017482825],"domain_scores_gemma":[0.99886584,0.00023966492,0.0005342857,0.00023476554,0.000034929435,0.00009048328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053151674,0.00012070488,0.00033470828,0.00004200112,0.00015107133,0.000020421754,0.00032217414,0.00011796316,0.00008982927],"category_scores_gemma":[0.00021521526,0.000107305386,0.00011657039,0.00017118058,0.00015687625,0.000095505915,0.00011013431,0.00012416278,0.00021224703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024586245,0.0002940062,0.06836518,0.000017700124,0.00003831793,3.4144584e-8,0.00021707187,0.003453228,0.00009816971,0.92614734,0.00029573805,0.0010486513],"study_design_scores_gemma":[0.00045519488,0.00024993136,0.799498,0.0000016698863,0.00001607194,0.000001144791,0.00030573425,0.1107629,0.00008847692,0.08606495,0.0023586908,0.00019721674],"about_ca_topic_score_codex":0.000019436984,"about_ca_topic_score_gemma":0.00003263322,"teacher_disagreement_score":0.84008235,"about_ca_system_score_codex":0.00020116789,"about_ca_system_score_gemma":0.000021144207,"threshold_uncertainty_score":0.43757868},"labels":[],"label_agreement":null},{"id":"W3017510515","doi":"10.1109/epec47565.2019.9074797","title":"Assessing the Rate Impact of Conservation and Demand Management: A New Mathematical Model","year":2019,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Variable cost; Variable (mathematics); Energy conservation; Casual; Fixed cost; Economics; Electricity; Environmental economics; Consumption (sociology); Metric (unit); Econometrics; Natural resource economics; Environmental science; Mathematics; Operations management; Microeconomics; Engineering","score_opus":0.12025188312449998,"score_gpt":0.26875552043169665,"score_spread":0.14850363730719668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017510515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90766627,0.000080756254,0.043111887,0.00024654498,0.000013375102,0.00015798122,0.0000029849086,0.0000047875938,0.04871543],"genre_scores_gemma":[0.99352217,0.00006510708,0.0024682349,0.00013419395,0.000005803764,0.0000026953019,0.000003305861,0.0000062137256,0.0037922864],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995297,0.0000061214964,0.00025319585,0.00012477976,0.000011314465,0.000074853175],"domain_scores_gemma":[0.999671,0.000034947927,0.00013564019,0.00013310059,0.0000019985769,0.000023300669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004146245,0.00005680994,0.00013504487,0.000035148547,0.00002541694,0.000046453955,0.000050867187,0.000025941017,0.00067777466],"category_scores_gemma":[0.000006597123,0.000044054894,0.00004237283,0.000031125837,0.000023703871,0.0002910938,0.000033576034,0.00002812221,0.00022452927],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047664453,0.000027743832,0.51152843,0.00003946944,0.00007763967,7.041511e-8,0.0002613271,0.013042847,0.00011248608,0.47381392,0.0005259736,0.00056532223],"study_design_scores_gemma":[0.00026263352,0.000012151468,0.3934125,0.0000056101994,0.0000047320937,5.690073e-7,0.00006343596,0.4819296,0.000014837385,0.12422996,0.000018127224,0.0000458511],"about_ca_topic_score_codex":0.000070364345,"about_ca_topic_score_gemma":0.0000010957025,"teacher_disagreement_score":0.46888673,"about_ca_system_score_codex":0.000037566333,"about_ca_system_score_gemma":0.0000053361587,"threshold_uncertainty_score":0.74211574},"labels":[],"label_agreement":null},{"id":"W3020963918","doi":"10.1002/0470013192.bsa586","title":"Scaling of Preferential Choice","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Behavioral Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Scaling; Thurstone scale; Representation (politics); Computer science; Dual (grammatical number); Econometrics; Mathematics; Statistics","score_opus":0.07484015484821041,"score_gpt":0.2835015682479016,"score_spread":0.20866141339969121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020963918","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11400997,0.00089202035,0.0041700006,0.000009748559,0.001082171,0.00041395865,0.0029034885,0.000020254765,0.8764984],"genre_scores_gemma":[0.7157221,0.0045901826,0.0830169,0.000017595774,0.0003533292,0.000038866565,0.00017703096,0.00024785087,0.19583616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855244,0.000007137198,0.00072446064,0.00038807318,0.00010041979,0.00022745511],"domain_scores_gemma":[0.99886703,0.00003334957,0.0007695062,0.00026222641,0.000010822634,0.000057073194],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040261925,0.00014789989,0.00041109606,0.00043582884,0.00002291724,0.000010794235,0.0003928482,0.00012353268,0.0054946574],"category_scores_gemma":[0.00007421017,0.0001837951,0.00003641384,0.00021011835,0.0004893184,0.00011737434,0.00010102973,0.00013127115,0.00011766627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071566087,0.0007453104,0.85561293,0.0001610883,0.000013546408,0.0000020078876,0.00073628605,0.00028439966,0.00008817347,0.08446553,0.016455278,0.041428313],"study_design_scores_gemma":[0.0009679287,0.00016883101,0.84044564,0.00023237705,0.00003812455,9.055513e-7,0.00008601071,0.0007488421,0.00014251743,0.0044011907,0.15198132,0.00078628864],"about_ca_topic_score_codex":0.0025795924,"about_ca_topic_score_gemma":0.0005569135,"teacher_disagreement_score":0.6806622,"about_ca_system_score_codex":0.00015593851,"about_ca_system_score_gemma":0.000050585655,"threshold_uncertainty_score":0.99541444},"labels":[],"label_agreement":null},{"id":"W3021607288","doi":"","title":"Accommodating Exogenous Variable and Decision Rule Heterogeneity in Discrete Choice Models: Application to Bicyclist Route Choice","year":2018,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Regret; Discrete choice; Econometrics; Preference; Population; Probabilistic logic; Variable (mathematics); Decision rule; Computer science; Operations research; Economics; Statistics; Mathematics; Machine learning; Artificial intelligence","score_opus":0.15047734820816455,"score_gpt":0.366085877042213,"score_spread":0.21560852883404846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021607288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695432,0.001542678,0.025994401,0.001002566,0.000073600546,0.00016550561,0.000043392756,0.0000034440573,0.0016311808],"genre_scores_gemma":[0.97444177,0.0068864594,0.01835618,0.00011089608,0.00012317582,0.000019833742,0.000014420054,0.000012652021,0.000034645094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985972,0.00010775323,0.00076182256,0.00023214683,0.00013888872,0.00016216542],"domain_scores_gemma":[0.9984826,0.0004293615,0.00046241283,0.00033898273,0.00018208225,0.00010456037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036941057,0.00008920653,0.00021584425,0.00045639768,0.00028390237,0.00016777586,0.0005074682,0.00007247281,0.000056517372],"category_scores_gemma":[0.0004008947,0.00009050144,0.000038047994,0.00019781546,0.00009188019,0.00064185535,0.000379682,0.00033986813,0.0000328416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007278939,0.00012531958,0.9650469,0.0000067061474,0.00005900773,2.3082487e-7,0.00061186485,0.0023808705,0.00014542723,0.012570296,0.00038725664,0.018593319],"study_design_scores_gemma":[0.00075240224,0.00013053365,0.84674597,0.000056534303,0.0000061452106,0.000009316224,0.0004184393,0.074337676,0.000105156294,0.066471495,0.010832029,0.00013430596],"about_ca_topic_score_codex":0.004963487,"about_ca_topic_score_gemma":0.0010472414,"teacher_disagreement_score":0.118300945,"about_ca_system_score_codex":0.00026950365,"about_ca_system_score_gemma":0.000016653854,"threshold_uncertainty_score":0.7503341},"labels":[],"label_agreement":null},{"id":"W3022570901","doi":"10.3390/su12093638","title":"Exploring the Non-Use Value of Important Agricultural Heritage System: Case of Lingnan Litchi Cultivation System (Zengcheng) in Guangdong, China","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council","keywords":"Contingent valuation; Agriculture; China; Willingness to pay; Context (archaeology); Geography; Valuation (finance); Value (mathematics); Socioeconomics; Agricultural economics; Business; Economics; Mathematics; Statistics","score_opus":0.08690107130256479,"score_gpt":0.21433935946961366,"score_spread":0.12743828816704889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022570901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979308,0.00015175273,0.0004198144,0.0003291492,0.00012934837,0.00074606587,0.000062861174,0.000022877446,0.00020731888],"genre_scores_gemma":[0.9996668,0.000017686807,0.00012292802,0.000008733025,0.000054449956,0.00007745091,0.000014884975,0.000013635371,0.000023419623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981415,0.00006771765,0.0011848581,0.00035911953,0.000040595754,0.00020618281],"domain_scores_gemma":[0.99887234,0.00007253649,0.00061714725,0.00032667688,0.000051476276,0.0000598378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010940428,0.00015148876,0.00043917363,0.000060036506,0.0000765755,0.000029481886,0.00015316941,0.00006156018,0.0000072212124],"category_scores_gemma":[0.00041584598,0.00012845379,0.00013614866,0.00024757188,0.0000643938,0.00067210733,0.000087429195,0.00014900533,0.0000047701483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037185782,0.00009497273,0.89944434,0.0019324939,0.00003682143,0.000028300734,0.0137862,0.0060952273,0.00010163303,0.078264736,0.000007463374,0.00017062791],"study_design_scores_gemma":[0.0004362407,0.00008100069,0.9481343,0.000053220407,0.00001162342,0.000013426366,0.035812806,0.014530442,0.00041558445,0.00033423828,0.000022661452,0.000154482],"about_ca_topic_score_codex":0.005537317,"about_ca_topic_score_gemma":0.00006370075,"teacher_disagreement_score":0.077930495,"about_ca_system_score_codex":0.001356478,"about_ca_system_score_gemma":0.000031649688,"threshold_uncertainty_score":0.83708036},"labels":[],"label_agreement":null},{"id":"W3022586065","doi":"10.3982/qe1023","title":"Inference in nonparametric/semiparametric moment equality models with shape restrictions","year":2020,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Inference; Moment (physics); Mathematics; Monte Carlo method; Nonparametric statistics; Regular polygon; Applied mathematics; Mathematical optimization; Econometrics; Computer science; Statistics; Geometry; Artificial intelligence","score_opus":0.30908569567086625,"score_gpt":0.288425140463524,"score_spread":0.020660555207342224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022586065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91357756,0.0005236778,0.07025737,0.0011238831,0.00011187752,0.00042379517,0.00019064164,0.000039657225,0.013751526],"genre_scores_gemma":[0.9862306,0.0008341516,0.011984793,0.0006704689,0.00003381915,0.00008239481,0.0000444324,0.000035101526,0.00008424718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784374,0.00003880426,0.00097165816,0.00074931723,0.000034073742,0.00036240031],"domain_scores_gemma":[0.9986412,0.00035041,0.0005248166,0.00028415074,0.000017794073,0.00018164564],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051321316,0.0002521103,0.000576689,0.00045621654,0.00008925539,0.00008896938,0.00027276998,0.00011524991,0.00039452864],"category_scores_gemma":[0.00020064421,0.00030258094,0.00009265833,0.0007801425,0.00011497108,0.0008857823,0.000088665656,0.00026564504,0.0011684636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053600805,0.00012265072,0.2292074,0.000015839927,0.000048857473,0.0000012967123,0.0009694851,0.18090016,0.0000030140877,0.58813316,0.000057985497,0.00048653927],"study_design_scores_gemma":[0.0014857246,0.00057533185,0.16642132,0.000013587777,0.000010955375,0.0000010103654,0.0008032054,0.7780544,0.000038290706,0.050224252,0.00176843,0.0006034932],"about_ca_topic_score_codex":0.0004187333,"about_ca_topic_score_gemma":0.0000894723,"teacher_disagreement_score":0.59715426,"about_ca_system_score_codex":0.00052703434,"about_ca_system_score_gemma":0.00004552976,"threshold_uncertainty_score":0.9999426},"labels":[],"label_agreement":null},{"id":"W3024132172","doi":"10.1016/j.ejor.2020.03.082","title":"Incorporating patient preferences in the design and operation of cancer screening facility networks","year":2020,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Psychological intervention; Computer science; Population; Queueing theory; Medicine; Nursing; Environmental health","score_opus":0.42203619982616064,"score_gpt":0.3186894712101401,"score_spread":0.10334672861602057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024132172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.936145,0.0012684339,0.059564237,0.0019655677,0.000027646445,0.00017004885,0.0000132712075,8.05707e-7,0.000844959],"genre_scores_gemma":[0.9967983,0.00025518166,0.002682331,0.00017468727,0.000071553244,0.0000034209077,0.000004812158,0.000004000784,0.000005715822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985955,0.00051209226,0.0005853576,0.00011701317,0.00010420159,0.00008585367],"domain_scores_gemma":[0.9994873,0.00015152154,0.00021621048,0.00004965019,0.000053846157,0.000041502382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005108168,0.000048466587,0.00012405263,0.00006921965,0.00009777017,0.00007302406,0.00015145827,0.000013246933,0.00013115624],"category_scores_gemma":[0.00022680973,0.00003881113,0.000021989239,0.00010385113,0.00007335087,0.00027139176,0.000047728587,0.00024215473,0.000011552835],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095663294,0.000052323157,0.33873734,0.000011849894,0.00002742152,0.0000066589078,0.0050526503,0.63475406,0.00023768129,0.0042298804,0.00040048998,0.016393943],"study_design_scores_gemma":[0.00069967576,0.0007561395,0.75999486,0.000041483498,0.0000027969197,0.0000048153815,0.0015910183,0.23530416,0.00016837262,0.00067142525,0.0006615853,0.000103668586],"about_ca_topic_score_codex":0.00003443591,"about_ca_topic_score_gemma":0.000004607765,"teacher_disagreement_score":0.4212575,"about_ca_system_score_codex":0.000033241897,"about_ca_system_score_gemma":0.000029008821,"threshold_uncertainty_score":0.17703992},"labels":[],"label_agreement":null},{"id":"W3024591454","doi":"","title":"Context Specific Factors Affecting Consumer Preferences for Antibiotic and Hormone Use During the Production of Beef in Canada","year":2020,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Production (economics); Antibiotics; Business; Biotechnology; Marketing; Food science; Agricultural science; Biology; Economics; Microbiology; Microeconomics","score_opus":0.058892855534549565,"score_gpt":0.18559153086350683,"score_spread":0.12669867532895726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024591454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974202,0.0015737481,0.000007674548,0.00013203533,0.00022190319,0.0004218019,0.00010265398,0.0000027131427,0.00011729128],"genre_scores_gemma":[0.99801207,0.0013644664,0.000024212997,0.0000034302275,0.000015915552,2.4153096e-7,0.00008155881,0.000008698381,0.00048939534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943256,0.00001838669,0.00020996593,0.00021562469,0.000029212748,0.00009425152],"domain_scores_gemma":[0.99919987,0.0001253716,0.00051031046,0.00013198002,0.0000136897725,0.000018783301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016820524,0.00009902411,0.0002867961,0.00006542242,0.00013258707,0.0000094913985,0.00014624643,0.0000551065,0.000025685129],"category_scores_gemma":[0.00004921574,0.00009610128,0.0000550898,0.0000767945,0.00006672932,0.00014868457,0.000028069086,0.0001091169,0.000002495822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003218869,0.000036029764,0.97514796,0.00043774815,0.00021060773,8.1959206e-7,0.013649609,0.00022440686,0.007500432,0.0011014518,0.000393115,0.0009759201],"study_design_scores_gemma":[0.00024446705,0.000026967466,0.9708248,0.000028178463,0.000024451729,2.8012266e-7,0.027945034,0.00008688389,0.00043153475,0.000095569994,0.00019790023,0.00009394061],"about_ca_topic_score_codex":0.31228554,"about_ca_topic_score_gemma":0.40053323,"teacher_disagreement_score":0.088247694,"about_ca_system_score_codex":0.00016668644,"about_ca_system_score_gemma":0.000050781255,"threshold_uncertainty_score":0.692294},"labels":[],"label_agreement":null},{"id":"W3025195953","doi":"10.7939/r3-v1gm-5587","title":"Estimating the Willingness-to-Pay for Agri-Environmental BMP Adoption in Alberta's South Saskatchewan Region","year":2019,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Business; Environmental planning; Environmental resource management; Natural resource economics; Agricultural economics; Geography; Economics","score_opus":0.020795509419910506,"score_gpt":0.1551489676413507,"score_spread":0.13435345822144018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025195953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99081856,0.000024758752,0.0020216338,0.0014466863,0.00015213042,0.00042708562,0.00001687418,0.0000065974173,0.005085647],"genre_scores_gemma":[0.9827222,0.000011265885,0.0027462514,0.00017960655,0.000033194057,0.0000012869775,0.000085129934,0.00001672795,0.014204339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992894,0.000012998186,0.00022880493,0.000290445,0.000021989128,0.00015634502],"domain_scores_gemma":[0.9993844,0.00012285793,0.00022423474,0.00022317872,0.0000010209509,0.000044305456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010260603,0.00010252129,0.00020168004,0.00008253918,0.00007753863,0.0000157307,0.00022280861,0.000074913965,0.0005002322],"category_scores_gemma":[0.000009141543,0.00010663491,0.00009199382,0.000072092575,0.000041125768,0.0005985823,0.0000947848,0.00007768481,0.00047682825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053931522,0.00004789295,0.97858906,0.000020998243,0.000018494648,3.1247953e-7,0.009997662,0.0075013195,0.000014131451,0.0030733617,0.00025804105,0.0004247826],"study_design_scores_gemma":[0.0013455019,0.000140703,0.94346046,0.000049573166,0.000012627597,0.0000015278281,0.00645506,0.03550127,0.00005901877,0.0031227379,0.0095394105,0.00031212592],"about_ca_topic_score_codex":0.0016197301,"about_ca_topic_score_gemma":0.0002980827,"teacher_disagreement_score":0.03512863,"about_ca_system_score_codex":0.00007363157,"about_ca_system_score_gemma":0.000012582704,"threshold_uncertainty_score":0.6128822},"labels":[],"label_agreement":null},{"id":"W3025633665","doi":"","title":"A Comment on Watersheds: Runoff from the Tax Code","year":2010,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Code (set theory); Incentive; Public economics; Economics; Watershed; Surface runoff; Law and economics; Computer science; Microeconomics","score_opus":0.0440931142700954,"score_gpt":0.21386546405033538,"score_spread":0.16977234978023997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025633665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94579726,0.000183089,0.00015632305,0.016916966,0.0011501295,0.00025925718,0.00047768667,0.000037578917,0.035021704],"genre_scores_gemma":[0.97998047,0.000056321114,0.00057968183,0.017706057,0.00034055056,0.000049839728,0.000097312804,0.000026140113,0.0011635997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894065,0.000019902513,0.0003911587,0.0003673225,0.000039933675,0.00024106419],"domain_scores_gemma":[0.99903643,0.000096380056,0.0001722563,0.00058522704,0.000004237612,0.00010546931],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00048272967,0.00015314127,0.00021719676,0.000025532812,0.0002188094,0.00011229467,0.00033521795,0.00010470763,0.0051831044],"category_scores_gemma":[0.000036173737,0.00013392509,0.000098954966,0.00003824805,0.00009840777,0.00018569008,0.00008055312,0.0003460493,0.013213044],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029649349,0.00017767007,0.2961096,0.0000042247307,0.000085670355,0.0000023911334,0.00040862773,0.00015837146,0.00032465113,0.65778184,0.044375923,0.0005414307],"study_design_scores_gemma":[0.00080065755,0.00006121775,0.15809812,0.000009651512,0.00000810924,0.0000012677449,0.00009198155,0.00058480114,0.0007781629,0.0407335,0.79856485,0.00026766653],"about_ca_topic_score_codex":0.003251368,"about_ca_topic_score_gemma":0.0010480649,"teacher_disagreement_score":0.75418895,"about_ca_system_score_codex":0.00010396999,"about_ca_system_score_gemma":0.0000058702776,"threshold_uncertainty_score":0.9957263},"labels":[],"label_agreement":null},{"id":"W3025645786","doi":"10.1071/wr19100","title":"Sources and dynamics of international funding for waterfowl conservation in the Prairie Pothole Region of North America","year":2020,"lang":"en","type":"article","venue":"Wildlife Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ducks Unlimited Canada","funders":"U.S. Fish and Wildlife Service; Nature Conservancy; National Science Foundation","keywords":"Waterfowl; Geography; Habitat; Range (aeronautics); Wildlife management; Government (linguistics); Wildlife; Population; Ecology; Biology; Demography","score_opus":0.2698227841606925,"score_gpt":0.3074252366812406,"score_spread":0.03760245252054811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025645786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97686785,0.00009149183,0.0025362729,0.019662907,0.000022104448,0.00022229717,0.00006148572,0.0000019615877,0.00053360104],"genre_scores_gemma":[0.9989703,0.00020016884,0.0003020965,0.00034124107,0.000032726806,0.000022462013,0.000071186594,0.0000057294014,0.00005404955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993853,0.000029297737,0.00029107503,0.00014277012,0.000048008365,0.00010356955],"domain_scores_gemma":[0.999583,0.0001600103,0.00014119282,0.000076888246,0.000017880715,0.000020992467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006607992,0.00003934573,0.00012243378,0.000101582744,0.00003949365,0.000016230466,0.00014360104,0.000024303836,0.000010067218],"category_scores_gemma":[0.00018310531,0.000037576632,0.000024675648,0.00011729866,0.00013480512,0.00011395805,0.000049937178,0.0000774878,0.000007498875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031859076,0.00002531087,0.98839414,0.00003762926,0.00001063751,2.0441838e-7,0.0013244285,0.00025658854,0.000006212921,0.00795221,0.00070491916,0.0012558455],"study_design_scores_gemma":[0.00039430332,0.0001418881,0.90951806,0.0000109684715,0.0000014977986,6.989755e-7,0.0011090529,0.07549891,0.00001154391,0.0026551282,0.010605241,0.000052676038],"about_ca_topic_score_codex":0.000217175,"about_ca_topic_score_gemma":0.00009038739,"teacher_disagreement_score":0.07887606,"about_ca_system_score_codex":0.000051919647,"about_ca_system_score_gemma":0.000009056301,"threshold_uncertainty_score":0.15323307},"labels":[],"label_agreement":null},{"id":"W3029016199","doi":"10.1186/s40100-020-00157-1","title":"Consumers’ preference and willingness to pay for enriched snack product traits in Shashamane and Hawassa cities, Ethiopia","year":2020,"lang":"en","type":"article","venue":"Agricultural and Food Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Product (mathematics); Willingness to pay; Sorghum; Preference; Multinomial logistic regression; Marketing; Taste; Ingredient; Trait; Business; Food science; Mathematics; Economics; Biology; Statistics; Agronomy","score_opus":0.12600673163511583,"score_gpt":0.19684845252623462,"score_spread":0.07084172089111879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029016199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294156,0.001196611,0.00009504626,0.004528144,0.000084506755,0.0005865246,0.0002118211,0.000015642358,0.0003401171],"genre_scores_gemma":[0.9970705,0.0011931049,0.0006630982,0.00070505525,0.000081512015,0.00007652198,0.000055535,0.000012670658,0.00014203232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872386,0.0000080762175,0.00044106218,0.0005878141,0.000010397919,0.00022881026],"domain_scores_gemma":[0.9995578,0.000054026215,0.00014832482,0.00006755454,0.00000773151,0.00016455598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001806042,0.00018851394,0.00038453256,0.000036799567,0.00008544631,0.00009130051,0.00008240946,0.00008857711,0.000021156175],"category_scores_gemma":[0.00004157287,0.00016129368,0.00003220563,0.000054524364,0.000053794498,0.00031209126,0.000078275545,0.000108193235,0.000017877015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009460886,0.000070702925,0.90879536,0.00027765337,0.00014677254,3.803357e-7,0.00903422,0.00049064273,0.00052297866,0.067737564,0.0005448868,0.012284263],"study_design_scores_gemma":[0.0009660167,0.00027513123,0.9891268,0.000009636656,0.000009692272,0.000004902085,0.00067753956,0.00075987907,0.00008072525,0.0040659094,0.0036776268,0.00034613532],"about_ca_topic_score_codex":0.00005258536,"about_ca_topic_score_gemma":0.0001808417,"teacher_disagreement_score":0.080331475,"about_ca_system_score_codex":0.000053755975,"about_ca_system_score_gemma":0.0000067415413,"threshold_uncertainty_score":0.65773654},"labels":[],"label_agreement":null},{"id":"W3032949946","doi":"10.1093/trstmh/traa039","title":"Odour reduction interventions for simple pit latrines in rural Ethiopia: a randomized study","year":2020,"lang":"en","type":"article","venue":"Transactions of the Royal Society of Tropical Medicine and Hygiene","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Eye Institute; National Institutes of Health; Bill and Melinda Gates Foundation; United States Agency for International Development","keywords":"Latrine; Pit latrine; Confidence interval; Randomized controlled trial; Significant difference; Environmental health; Toxicology; Medicine; Environmental science; Environmental engineering; Sanitation; Surgery; Biology","score_opus":0.11695406003848624,"score_gpt":0.27755620620191346,"score_spread":0.16060214616342722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032949946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9320544,0.00069387996,0.058055304,0.008323299,0.000115313625,0.0006569742,0.000025289986,0.0000066768566,0.00006885204],"genre_scores_gemma":[0.99875504,0.00020408296,0.0007221238,0.00007632889,0.000059022277,0.00004733466,0.0000031449074,0.0000063024686,0.00012663472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909294,0.000028395225,0.00062454917,0.00013889074,0.000031479278,0.000083719475],"domain_scores_gemma":[0.99955827,0.00009239301,0.0002077159,0.00009477234,0.000011847999,0.000035027962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029103766,0.000075143726,0.00049932627,0.00002924901,0.00006492818,0.0000031206669,0.00008841126,0.000050437917,0.00016411881],"category_scores_gemma":[0.00006577296,0.000059714836,0.000360319,0.00008931406,0.00020061302,0.000051764295,0.000011232071,0.00010618639,0.0000012813991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015196757,0.004773092,0.789829,0.003787831,0.0030189904,4.1761905e-7,0.077883154,0.04532511,0.0009075637,0.030886162,0.004815145,0.02357675],"study_design_scores_gemma":[0.16661486,0.0026655642,0.6878088,0.00032166252,0.00059446774,0.0000018760718,0.023305107,0.097694345,0.00037210295,0.019644778,0.0005717892,0.0004046396],"about_ca_topic_score_codex":0.0004993852,"about_ca_topic_score_gemma":0.000022850985,"teacher_disagreement_score":0.1514181,"about_ca_system_score_codex":0.000026433412,"about_ca_system_score_gemma":0.0000043670066,"threshold_uncertainty_score":0.24351004},"labels":[],"label_agreement":null},{"id":"W3034046895","doi":"10.1111/cjag.12252","title":"Western Canadian producers’ attitudes towards wheat breeding funding","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"Genome Prairie; Genome Canada","keywords":"Revenue; Government (linguistics); Crop; Business; Probit model; Agricultural science; Agricultural economics; Marketing; Economics; Finance; Agronomy; Biology","score_opus":0.13798385804925042,"score_gpt":0.18435184780382635,"score_spread":0.04636798975457593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034046895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97052693,0.001390144,0.000022864124,0.01840317,0.0021223354,0.00031882603,0.0004790916,0.000014304827,0.006722302],"genre_scores_gemma":[0.9943962,0.00015158443,0.0002923939,0.002388827,0.002047589,0.000012319111,0.0000831959,0.000060150353,0.00056773605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962913,0.000024349842,0.0016421593,0.0006338138,0.000012003737,0.0013964183],"domain_scores_gemma":[0.9938863,0.000036567475,0.0010642519,0.00026464998,0.00006554555,0.004682695],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00072603987,0.0004566807,0.0010041798,0.00053439895,0.00037842587,0.00033907965,0.0007795008,0.00024075298,0.0017933353],"category_scores_gemma":[0.00013552433,0.0005102479,0.00039103054,0.00018652124,0.00013377513,0.0016025874,0.000042811775,0.00046258877,0.0010029736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021905656,0.000020380994,0.94763803,0.00008604213,0.0004500947,0.0000466146,0.005916237,0.0052016554,0.00005872651,0.03331802,0.0056232763,0.0016190183],"study_design_scores_gemma":[0.0008876603,0.00037402968,0.92320895,0.000058667883,0.000058058347,0.00034316958,0.001630062,0.00020986072,0.00007798891,0.0010149449,0.07114008,0.0009965316],"about_ca_topic_score_codex":0.38117334,"about_ca_topic_score_gemma":0.9042186,"teacher_disagreement_score":0.5230453,"about_ca_system_score_codex":0.0056710513,"about_ca_system_score_gemma":0.0007136529,"threshold_uncertainty_score":0.9997749},"labels":[],"label_agreement":null},{"id":"W3034346801","doi":"","title":"Nonparametric vs parametric binary choice models","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nonparametric statistics; Estimator; Econometrics; Parametric statistics; Population; Probit; Parametric model; Discrete choice; Computer science; Probit model; Statistics; Mathematics; Environmental health","score_opus":0.1383629504909747,"score_gpt":0.2972759872136918,"score_spread":0.15891303672271712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034346801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8107487,0.010176246,0.00014182374,0.001060173,0.0035643983,0.0019442583,0.0005728022,0.0000594831,0.17173214],"genre_scores_gemma":[0.87966114,0.09199974,0.00397255,0.00026212435,0.0010314953,0.0007016808,0.00038814172,0.00027427214,0.021708855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99000454,0.00048686855,0.0033472127,0.0029201866,0.00025036716,0.002990853],"domain_scores_gemma":[0.99293005,0.0021654055,0.0015156171,0.0025452925,0.000076308024,0.0007673029],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0076685753,0.0010766217,0.0022764616,0.0038374683,0.0004909475,0.0004128347,0.0019045623,0.0019161951,0.0026717994],"category_scores_gemma":[0.00109235,0.0015867492,0.00079946517,0.0013116698,0.0009671301,0.0013710156,0.0023305023,0.0037992506,0.0030950801],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012588601,0.001586387,0.539223,0.0003554389,0.00039456226,0.000017254324,0.00058075855,0.29781067,0.000009462004,0.025039485,0.0003484756,0.1345086],"study_design_scores_gemma":[0.002065757,0.00033207246,0.55454165,0.00026068013,0.000047442158,0.00002255634,0.00041935657,0.32906002,0.000032226606,0.018086076,0.09312159,0.0020105727],"about_ca_topic_score_codex":0.0015726264,"about_ca_topic_score_gemma":0.00023336563,"teacher_disagreement_score":0.15002328,"about_ca_system_score_codex":0.008173143,"about_ca_system_score_gemma":0.00029643136,"threshold_uncertainty_score":0.9993795},"labels":[],"label_agreement":null},{"id":"W3035391010","doi":"10.1371/journal.pone.0234494","title":"A cost efficient spatially balanced hierarchical sampling design for monitoring boreal birds incorporating access costs and habitat stratification","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Biome; Boreal; Sampling (signal processing); Sampling design; Habitat; Population; Representativeness heuristic; Ecology; Environmental science; Stratification (seeds); Computer science; Statistics; Ecosystem; Biology; Mathematics","score_opus":0.33117674442718753,"score_gpt":0.2816894185306268,"score_spread":0.04948732589656074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035391010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77518344,0.00011534568,0.2227285,0.00084255135,0.00004328936,0.00074860104,0.00007076,0.0000325573,0.00023495361],"genre_scores_gemma":[0.9498332,0.00005304703,0.049534194,0.00013096482,0.00018466602,0.0001749686,0.000059286227,0.000023903465,0.0000057415587],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896,0.00001620318,0.00043520448,0.00037553185,0.000043729204,0.00016928752],"domain_scores_gemma":[0.9993497,0.000142248,0.0002664647,0.00011162172,0.000019748757,0.00011021999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003589252,0.000114383976,0.00025802274,0.00005241504,0.00013769929,0.00013789702,0.0001237083,0.00006311766,0.0000129217615],"category_scores_gemma":[0.0002311314,0.00014495687,0.000029969511,0.00007679382,0.000041178377,0.00019597454,0.00005386228,0.000100169695,0.000028995728],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013553714,0.00043648272,0.95711917,0.00016917106,0.00012611914,5.073264e-7,0.0007928357,0.016003104,0.010094574,0.009647318,0.000020735908,0.005454443],"study_design_scores_gemma":[0.0012079963,0.00025588865,0.4387936,0.000078352205,0.000030790638,3.2478619e-7,0.00009343879,0.5439098,0.011033932,0.004256011,0.000010409489,0.00032948982],"about_ca_topic_score_codex":0.00003309991,"about_ca_topic_score_gemma":0.0000051382053,"teacher_disagreement_score":0.52790666,"about_ca_system_score_codex":0.00015255163,"about_ca_system_score_gemma":0.000015964612,"threshold_uncertainty_score":0.59111696},"labels":[],"label_agreement":null},{"id":"W3036026981","doi":"","title":"The impact of perceptions in averting-decision models: An application of the special regressor method to drinking water choices","year":2014,"lang":"en","type":"preprint","venue":"Toulouse Capitole Publications (University Toulouse 1 Capitole)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Multivariate probit model; Bivariate analysis; Probit model; Ordered probit; Discrete choice; Econometrics; Perception; Probit; Instrumental variable; Risk perception; Affect (linguistics); Set (abstract data type); Actuarial science; Variables; Contrast (vision); Economics; Statistics; Psychology; Computer science; Mathematics","score_opus":0.05252365130396757,"score_gpt":0.26045599897670413,"score_spread":0.20793234767273655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036026981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92708766,0.00011705258,0.06675098,0.0013090463,0.00033070502,0.0012412474,0.0002649778,0.00005251764,0.002845828],"genre_scores_gemma":[0.9941176,0.00023676766,0.003997126,0.000041885385,0.0003611206,0.000059790407,0.00018793473,0.000056631332,0.00094110076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99707156,0.00022514323,0.0011128852,0.00094983587,0.00017854145,0.00046203742],"domain_scores_gemma":[0.9961371,0.00020179644,0.001192392,0.0021277585,0.00016456752,0.00017642691],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017107714,0.0003750899,0.0007222178,0.0007944192,0.00053607207,0.00013943916,0.001955089,0.00042498505,0.00023233503],"category_scores_gemma":[0.000100401085,0.0003171497,0.0005132681,0.00048847677,0.00022516337,0.0006670194,0.001144511,0.00056944037,0.00015043022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001624663,0.00091928156,0.14095375,0.00008609446,0.00030904223,5.3491283e-7,0.018731516,0.71278936,0.00074310997,0.10908423,0.0030912976,0.013129308],"study_design_scores_gemma":[0.0013327709,0.00015529398,0.5611862,0.00013036547,0.00010730067,0.000005243485,0.0028978898,0.329263,0.00039388824,0.09417744,0.009350871,0.000999727],"about_ca_topic_score_codex":0.006326879,"about_ca_topic_score_gemma":0.0027159464,"teacher_disagreement_score":0.42023245,"about_ca_system_score_codex":0.0011360946,"about_ca_system_score_gemma":0.00011304931,"threshold_uncertainty_score":0.99992806},"labels":[],"label_agreement":null},{"id":"W3036488616","doi":"10.1016/j.ijdrr.2020.101708","title":"Analysing the socioeconomic and motivational factors affecting the willingness to pay for climate change adaptation in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Socioeconomic status; Contingent valuation; Willingness to pay; Agriculture; Climate change; Adaptation (eye); Environmental resource management; Business; Socioeconomics; Climate change adaptation; Public economics; Natural resource economics; Environmental economics; Economics; Geography; Environmental health; Psychology; Population","score_opus":0.10900364448717871,"score_gpt":0.26015068102669325,"score_spread":0.15114703653951456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036488616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98042244,0.00011849241,0.011125167,0.007441113,0.0006175079,0.00020299107,0.000045397304,0.000002673666,0.00002424779],"genre_scores_gemma":[0.9985005,0.0001805484,0.0003564212,0.00022476813,0.0006985852,0.0000117841155,0.000012058451,0.000010239358,0.000005083888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918175,0.000029904888,0.0005035067,0.00014582113,0.00004672975,0.000092294256],"domain_scores_gemma":[0.9991323,0.000093868046,0.0006618847,0.000047327878,0.000030132096,0.00003449764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065045524,0.00007935695,0.00014353488,0.00008928406,0.00009262677,0.000088491506,0.00014516234,0.000029749035,0.00003164647],"category_scores_gemma":[0.00009156459,0.00005494664,0.000086585154,0.00005137675,0.00002728822,0.00047866258,0.000032618136,0.00012658283,0.000012574698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009859747,0.000030837182,0.9145415,0.000008018014,0.00011984463,2.2888335e-7,0.02776105,0.04530814,0.00011633141,0.0019873895,0.000039739407,0.009988324],"study_design_scores_gemma":[0.000553065,0.00008347924,0.9429199,0.000020337504,0.000021138692,0.000008529866,0.01020203,0.042008404,0.000090412505,0.003670841,0.00032260775,0.00009926367],"about_ca_topic_score_codex":0.0000488273,"about_ca_topic_score_gemma":0.0000082580855,"teacher_disagreement_score":0.028378388,"about_ca_system_score_codex":0.00015467001,"about_ca_system_score_gemma":0.0000058863193,"threshold_uncertainty_score":0.22406588},"labels":[],"label_agreement":null},{"id":"W3036683571","doi":"10.5539/sar.v9n3p98","title":"Welfare Impact of Moringa Market Participation in Southern Ethiopia","year":2020,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education, Ethiopia","keywords":"Moringa; Welfare; Per capita; Business; Agricultural economics; Consumption (sociology); Household income; Economics; Selection bias; Transaction cost; Economic growth; Geography; Population","score_opus":0.12098904780848486,"score_gpt":0.3170931090858964,"score_spread":0.19610406127741153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036683571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976261,0.0004788602,0.000049737657,0.0020384777,0.000014189075,0.00038297768,0.000040470768,0.000011513605,0.020722777],"genre_scores_gemma":[0.99616116,0.00006627604,0.00004027705,0.000021016798,0.000062413055,0.00005527229,0.000026685859,0.000012007717,0.0035548867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864835,0.00008137042,0.00041161827,0.00030976135,0.00008051146,0.00046837723],"domain_scores_gemma":[0.999521,0.000042547836,0.00010692133,0.00014917605,0.00006505957,0.0001152853],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013166179,0.00010251252,0.0002502937,0.00014401233,0.00009803334,0.00003897638,0.00018338047,0.00011899027,0.0016142905],"category_scores_gemma":[0.00032007386,0.00008947746,0.00009626229,0.0005595001,0.000055733486,0.00022921324,0.0001158032,0.00031839564,0.00023663107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008737157,0.00019516995,0.9271923,0.00021952891,0.000053655986,0.000015209062,0.008086616,0.00781456,0.000208567,0.05188139,0.003926305,0.00031932743],"study_design_scores_gemma":[0.0005605923,0.00024178361,0.97491014,0.00000947903,0.0000022485474,4.825992e-7,0.01414291,0.0022530009,0.00010395272,0.0041948357,0.0034227571,0.00015781388],"about_ca_topic_score_codex":0.003637602,"about_ca_topic_score_gemma":0.00005122962,"teacher_disagreement_score":0.047717847,"about_ca_system_score_codex":0.000516813,"about_ca_system_score_gemma":0.000028818868,"threshold_uncertainty_score":0.9992984},"labels":[],"label_agreement":null},{"id":"W3037505908","doi":"10.1017/bpp.2020.14","title":"Prospect theory and the potential for lottery-based subsidies","year":2020,"lang":"en","type":"article","venue":"Behavioural Public Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lottery; Subsidy; Economics; Public economics; Government (linguistics); Microeconomics; Market economy","score_opus":0.11479772242968946,"score_gpt":0.23666525302776864,"score_spread":0.12186753059807919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037505908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90919864,0.0006616519,0.0101301465,0.07771812,0.0001062711,0.0006333545,0.00024684105,0.000047495985,0.0012574765],"genre_scores_gemma":[0.9938222,0.000027955459,0.00028086462,0.005128523,0.00022915166,0.000110792476,0.00004147975,0.000019184912,0.00033985847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917394,0.000028372762,0.0002996223,0.0002498123,0.000021778356,0.00022645923],"domain_scores_gemma":[0.99954236,0.000059760576,0.00016200758,0.00013695988,0.0000069690595,0.000091937254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006187656,0.00011277985,0.00021393187,0.000065604916,0.00015908181,0.00013041464,0.00015560116,0.00005100956,0.00020642304],"category_scores_gemma":[0.00018982378,0.00009530355,0.00011306685,0.000059506117,0.00021671626,0.00020851332,0.000053354353,0.00007166264,0.00009916373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009314397,0.000026481634,0.13851948,0.000010809469,0.000022708982,2.88856e-7,0.00039036872,0.000021799364,0.000014089694,0.8587555,0.0009842128,0.0011611042],"study_design_scores_gemma":[0.006753735,0.00016994316,0.72259367,0.000003791733,0.000036293255,0.000005305805,0.00022329582,0.00931615,0.00011461994,0.25336522,0.0069952523,0.00042274068],"about_ca_topic_score_codex":0.0002631686,"about_ca_topic_score_gemma":0.000007611238,"teacher_disagreement_score":0.6053903,"about_ca_system_score_codex":0.00006749218,"about_ca_system_score_gemma":0.000024661982,"threshold_uncertainty_score":0.3886366},"labels":[],"label_agreement":null},{"id":"W3037567003","doi":"10.1257/aer.20210877","title":"Revealing Choice Bracketing","year":2024,"lang":"en","type":"preprint","venue":"American Economic Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; London School of Economics and Political Science","keywords":"Bracketing (phenomenology); Interdependence; Portfolio; Preference; Psychology; Computer science; Mathematics; Statistics; Economics; Epistemology; Sociology","score_opus":0.11680108581258748,"score_gpt":0.2872583741294658,"score_spread":0.17045728831687834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037567003","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20749737,0.6435264,0.00029110088,0.008436579,0.003720526,0.0016818094,0.0007713764,0.00027044627,0.13380444],"genre_scores_gemma":[0.5282724,0.45593935,0.0021818916,0.007206652,0.0013824394,0.00047976777,0.00043950923,0.00025763465,0.0038403682],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961707,0.000052791238,0.001934062,0.0013755142,0.000029179464,0.00043777347],"domain_scores_gemma":[0.9968483,0.00011766466,0.0018685785,0.0010112898,0.000006274652,0.00014793602],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015491347,0.00048783107,0.0017342713,0.00018872829,0.00007302136,0.00015308475,0.00058132847,0.0001388019,0.0019302784],"category_scores_gemma":[0.00012240905,0.0006153865,0.0005966182,0.00009506241,0.00019253163,0.00012441148,0.0010489955,0.00077627995,0.029110434],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013650009,0.00022013646,0.20811883,0.037536107,0.0025113004,0.000027577184,0.00073847617,0.007958032,0.000009787513,0.13897452,0.23355325,0.37033835],"study_design_scores_gemma":[0.00036061293,0.000106293504,0.03635962,0.010941809,0.00035923684,0.00002925175,0.00008620409,0.008202052,0.000014280977,0.072194256,0.8684605,0.002885908],"about_ca_topic_score_codex":0.0014119244,"about_ca_topic_score_gemma":0.00004867118,"teacher_disagreement_score":0.63490725,"about_ca_system_score_codex":0.0011144633,"about_ca_system_score_gemma":0.00007540099,"threshold_uncertainty_score":0.99962974},"labels":[],"label_agreement":null},{"id":"W3037711771","doi":"10.3390/su12125173","title":"Tendencies of Residents in Sanjiangyuan National Park to the Optimization of Livelihoods and Conservation of the Natural Reserves","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China","keywords":"Livelihood; Government (linguistics); National park; Business; China; Perception; Economic growth; Socioeconomics; Environmental planning; Environmental resource management; Public economics; Natural resource economics; Geography; Economics; Agriculture; Psychology","score_opus":0.05638165471392543,"score_gpt":0.2373632845065768,"score_spread":0.18098162979265137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037711771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98591524,0.000233444,0.0003675458,0.012977655,0.000029410832,0.00030888396,0.000035447258,0.0000015945227,0.0001307862],"genre_scores_gemma":[0.99947655,0.000024605495,0.00030013573,0.00013270568,0.000008615735,0.00000877689,0.000004494293,0.000002986824,0.000041116935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929893,0.00004299806,0.0004155501,0.00013378618,0.000047060144,0.00006167768],"domain_scores_gemma":[0.9994766,0.00006176244,0.00024500748,0.000114341965,0.00008744,0.0000148214185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007015569,0.000045348996,0.00013618362,0.000039788327,0.000028797203,0.0000064753854,0.00012120783,0.00002942486,0.000021501515],"category_scores_gemma":[0.0016227838,0.000036719208,0.000033271604,0.00018186864,0.00010221109,0.00015937544,0.00009076201,0.000050080675,6.0656765e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002569068,0.000021975584,0.9551527,0.000078894576,0.0000060648604,1.6759806e-8,0.0014182946,0.023207242,0.000015645473,0.019928964,0.00007947376,0.00006503283],"study_design_scores_gemma":[0.00016345011,0.00002920745,0.97318745,0.000006594722,0.0000017455106,7.10171e-8,0.001079978,0.01062439,0.0001784187,0.014662463,0.00003259799,0.000033636636],"about_ca_topic_score_codex":0.00082346,"about_ca_topic_score_gemma":0.00012623779,"teacher_disagreement_score":0.018034741,"about_ca_system_score_codex":0.00018276153,"about_ca_system_score_gemma":0.00004907474,"threshold_uncertainty_score":0.19427411},"labels":[],"label_agreement":null},{"id":"W3040479255","doi":"10.1016/j.jval.2019.11.009","title":"Health Preference Research in Europe: A Review of Its Use in Marketing Authorization, Reimbursement, and Pricing Decisions—Report of the ISPOR Stated Preference Research Special Interest Group","year":2020,"lang":"en","type":"review","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke","funders":"Agency for Healthcare Research and Quality","keywords":"Reimbursement; Preference; Authorization; Marketing; Health economics; Business; Actuarial science; Economics; Health care; Microeconomics; Computer science","score_opus":0.780389263494015,"score_gpt":0.4427709155179167,"score_spread":0.33761834797609835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040479255","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010120579,0.98431766,0.000032631226,0.00087312545,0.0002029607,0.003869979,0.00017709829,0.00000456376,0.00040138184],"genre_scores_gemma":[0.009070078,0.9901517,0.00032168112,0.00005234474,0.00006871459,0.00011432935,0.00010105646,0.00004111202,0.0000789662],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98945236,0.0038945675,0.004744052,0.0010199065,0.00026681347,0.00062231516],"domain_scores_gemma":[0.9951559,0.0017277815,0.0022582007,0.0006077704,0.00010874196,0.00014160841],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.036443178,0.0002470515,0.0019443926,0.0010571402,0.00011047209,0.000038654216,0.0005562755,0.00014973636,0.000064543485],"category_scores_gemma":[0.008486649,0.0002327154,0.000080726604,0.0031138265,0.00013982053,0.00024048156,0.0005826222,0.0013341663,0.000020684447],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008650093,0.0005296003,0.1519188,0.20471299,0.00004515814,0.000028260096,0.001581527,0.00019439211,3.1597025e-7,0.03304801,0.0014050403,0.6064494],"study_design_scores_gemma":[0.000651864,0.0003727953,0.19197115,0.3856425,0.000008599175,0.000020036021,0.00013973341,0.0011707162,3.492705e-7,0.0014449636,0.41819444,0.00038284904],"about_ca_topic_score_codex":0.004457262,"about_ca_topic_score_gemma":0.0008686732,"teacher_disagreement_score":0.6060666,"about_ca_system_score_codex":0.0015521863,"about_ca_system_score_gemma":0.0010589845,"threshold_uncertainty_score":0.9998653},"labels":[],"label_agreement":null},{"id":"W3040885656","doi":"10.1590/s1677-5538.ibju.2020.05.04","title":"Editorial Comment: An Effective Evidence-Based Cleaning Method for the Safe Reuse of Intermittent Urinary Catheters: In Vitro Testing","year":2020,"lang":"en","type":"editorial","venue":"International braz j urol","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Biofilms Innovation Centre","keywords":"Medicine; Urinary system; Intensive care medicine; Urinary catheter; Reuse; Internal medicine","score_opus":0.10525007913967782,"score_gpt":0.30061097100380146,"score_spread":0.19536089186412364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040885656","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020199677,0.00036740696,0.012600324,0.003033017,0.9793112,0.0010738868,0.0013474103,0.000022497172,0.00022423286],"genre_scores_gemma":[0.088124365,0.00006411135,0.009582805,0.0007949251,0.90012985,0.00056219986,0.0006159482,0.00007937179,0.000046408957],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979717,0.00009622208,0.00094644004,0.0006143193,0.00016950685,0.00020180158],"domain_scores_gemma":[0.99243087,0.00602661,0.0009976727,0.00040694524,0.00008151556,0.000056415443],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017444214,0.00025960902,0.00050526793,0.00021148096,0.000074122814,0.000083367246,0.0010553235,0.00030086152,0.00005801355],"category_scores_gemma":[0.0052202926,0.0002699369,0.00023026761,0.0000848985,0.00006249686,0.00049266283,0.00024794808,0.0005309235,0.000044034325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024234944,0.00061629,0.0038186093,0.00019749116,0.0004980394,0.000004777159,0.0010111978,0.006955427,0.000957362,0.00070932676,0.9675859,0.015222055],"study_design_scores_gemma":[0.0028305566,0.001096146,0.0040273713,0.00036008982,0.00007250449,0.0000010344713,0.000109691064,0.10224506,0.0010342652,0.002911488,0.88479054,0.0005212267],"about_ca_topic_score_codex":0.00049708463,"about_ca_topic_score_gemma":0.0000058333344,"teacher_disagreement_score":0.09528963,"about_ca_system_score_codex":0.0007112255,"about_ca_system_score_gemma":0.000057304518,"threshold_uncertainty_score":0.99997526},"labels":[],"label_agreement":null},{"id":"W3042209942","doi":"10.1111/agec.12587","title":"Eliciting farmers’ subjective probabilities, risk, and uncertainty preferences using contextualized field experiments","year":2020,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University Belfast; Queen's University; James Hutton Institute","keywords":"Incentive; Context (archaeology); Certainty; Economics; Estimation; Econometrics; Field (mathematics); Risk aversion (psychology); Actuarial science; Field experiment; Microeconomics; Expected utility hypothesis; Statistics; Mathematics; Financial economics","score_opus":0.13102869100858286,"score_gpt":0.22876671138110427,"score_spread":0.09773802037252141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042209942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99449354,0.0006063167,0.00024088331,0.00040091164,0.0001387169,0.00035539793,0.0001236239,0.000032379572,0.003608207],"genre_scores_gemma":[0.9979987,0.00048501012,0.00075043866,0.000521055,0.000113493916,0.000027389928,0.000040723156,0.000012785036,0.000050376944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986459,0.000028814595,0.00056186365,0.00050667085,0.000015316711,0.0002414605],"domain_scores_gemma":[0.9992203,0.00009693978,0.0004405601,0.00010348255,0.000010741589,0.000127959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017669807,0.00020312711,0.0003858023,0.00002897638,0.00018188047,0.00009766014,0.00013076594,0.00010259206,0.00026838784],"category_scores_gemma":[0.000102444275,0.00019344181,0.00008872992,0.000051467716,0.00006794908,0.00043766535,0.00009548618,0.00014475796,0.00009497925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012222271,0.00009367844,0.92490613,0.00007394759,0.00035459487,8.573318e-7,0.015725704,0.009839493,0.000687512,0.04005128,0.00034920394,0.0077953963],"study_design_scores_gemma":[0.007718213,0.0013862604,0.737011,0.00009312727,0.00014040631,0.000030139374,0.06892054,0.09676373,0.0056593693,0.07091664,0.007806234,0.0035543116],"about_ca_topic_score_codex":0.0014051462,"about_ca_topic_score_gemma":0.000050657083,"teacher_disagreement_score":0.18789507,"about_ca_system_score_codex":0.00022035657,"about_ca_system_score_gemma":0.000010768279,"threshold_uncertainty_score":0.7888328},"labels":[],"label_agreement":null},{"id":"W3042764504","doi":"10.1088/1748-9326/ab8ec2","title":"Are biodiversity losses valued differently when they are caused by human activities? A meta-analysis of the non-use valuation literature","year":2020,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Biodiversity; Measurement of biodiversity; Climate change; Valuation (finance); Per capita; Environmental resource management; Geography; Context (archaeology); Natural resource economics; Biodiversity conservation; Environmental science; Ecology; Economics; Population; Accounting; Biology","score_opus":0.28462127392286685,"score_gpt":0.27592473888382785,"score_spread":0.008696535039039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042764504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99008787,0.0004657066,0.00025686953,0.0058784233,0.00003476892,0.00045886243,0.002758152,0.000009393299,0.00004997922],"genre_scores_gemma":[0.99702644,0.000073433876,0.000040782914,0.0021391585,0.00002632797,0.000040960575,0.00029381274,0.000018022562,0.00034108685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805045,0.00025055543,0.00045511537,0.00061318517,0.00029632784,0.00033438735],"domain_scores_gemma":[0.99858266,0.00012611125,0.00065096957,0.0005089426,0.000005009583,0.0001262944],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069514813,0.00022160525,0.0006949691,0.00022923975,0.00035186266,0.00014227798,0.00046393034,0.000104634535,0.0015177018],"category_scores_gemma":[0.000078802856,0.00019502938,0.0007054114,0.00026927865,0.00030649366,0.0005117006,0.00032275054,0.0003821872,0.00017829472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025701189,0.00021222002,0.96222144,0.000024399835,0.011768239,0.0000031899813,0.0029837228,0.00085871265,0.014576998,0.00008914357,0.0072255423,0.000010703866],"study_design_scores_gemma":[0.0005004306,0.000050965802,0.991816,0.0000049236055,0.0026947593,1.3943534e-7,0.0007107544,0.0008946425,0.002354082,0.0003044089,0.00043083113,0.00023806168],"about_ca_topic_score_codex":0.00021629341,"about_ca_topic_score_gemma":0.000041713065,"teacher_disagreement_score":0.029594572,"about_ca_system_score_codex":0.0004229918,"about_ca_system_score_gemma":0.0000036155009,"threshold_uncertainty_score":0.9993951},"labels":[],"label_agreement":null},{"id":"W3043807864","doi":"10.1016/j.jval.2020.03.007","title":"Heterogeneous Patient Preferences for Modern Antiretroviral Therapy: Results of a Discrete Choice Experiment","year":2020,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Center for AIDS Research, Duke University; University of South Carolina; Center for AIDS Research, University of Washington; Robert Wood Johnson Foundation","keywords":"Interquartile range; Medicine; Pill; Latent class model; Dosing; Mixed logit; Logistic regression; Internal medicine","score_opus":0.20786424438569817,"score_gpt":0.27657637800375756,"score_spread":0.06871213361805939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043807864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929107,0.0036897855,0.0010351407,0.0010105438,0.00011389953,0.0005941618,0.0003191533,0.000010580022,0.00031604647],"genre_scores_gemma":[0.9975901,0.00067612785,0.0009676809,0.000602206,0.000043303568,0.00005804197,0.00003589008,0.000014221368,0.0000124090775],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860185,0.000030086834,0.0008105668,0.00033045255,0.000030029001,0.00019702785],"domain_scores_gemma":[0.99928606,0.000055502045,0.0004364679,0.00014340518,0.0000038180265,0.000074767486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002827612,0.00009906754,0.00030497272,0.000050786577,0.000036493755,0.000010611183,0.00010471524,0.00004210591,0.000021842527],"category_scores_gemma":[0.000045023204,0.000107774154,0.00006845038,0.00005398512,0.000025646488,0.000085117375,0.000027795768,0.000051758572,0.000015495438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012613416,0.00077317347,0.54414725,0.0005638213,0.00014426101,0.0000012629133,0.047108386,0.3320517,0.0005837509,0.011428595,0.0007545109,0.06118199],"study_design_scores_gemma":[0.010212824,0.012385949,0.10352028,0.00015360917,0.0000048794273,0.0000014925955,0.00084942224,0.82302594,0.007663185,0.02461526,0.016638894,0.00092825905],"about_ca_topic_score_codex":0.002100312,"about_ca_topic_score_gemma":0.000008822449,"teacher_disagreement_score":0.49097425,"about_ca_system_score_codex":0.00013135294,"about_ca_system_score_gemma":0.000022524273,"threshold_uncertainty_score":0.43949026},"labels":[],"label_agreement":null},{"id":"W3045421363","doi":"10.5539/ibr.v13n8p18","title":"The Dual Pricing of Destinations: Tourist Perception on Sri Lanka","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visitor pattern; Tourism; Sri lanka; Dual (grammatical number); Destinations; Context (archaeology); Perception; Business; Willingness to pay; Marketing; Economics; Geography; Socioeconomics; Psychology; Microeconomics","score_opus":0.273132577732338,"score_gpt":0.333046094382421,"score_spread":0.05991351665008299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045421363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93058676,0.00010633261,0.0010516727,0.01719872,0.0002494029,0.00016696287,0.000047798756,0.0000119910355,0.050580386],"genre_scores_gemma":[0.9986567,0.00025267855,0.00019632021,0.00015427475,0.00023751399,0.00002414857,0.000036211986,0.0000080288255,0.00043413148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991928,0.000025513371,0.0003226077,0.00019880646,0.00012987478,0.0001304241],"domain_scores_gemma":[0.99941367,0.00020123456,0.00012110688,0.00011395414,0.00011557824,0.000034442608],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007411225,0.00005590028,0.00009242467,0.00011651878,0.00016027174,0.00006898262,0.00023700924,0.000034625857,0.0005545798],"category_scores_gemma":[0.00073984364,0.0000519952,0.000033260556,0.00020535111,0.000107591026,0.00015644592,0.0000869349,0.0001400002,0.0010288974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026068123,0.00035792257,0.6980893,0.000067091685,0.00014778279,0.000007496979,0.0046261507,0.010295496,0.0024216908,0.26060912,0.00830298,0.014814282],"study_design_scores_gemma":[0.0003160444,0.000053279517,0.96953,0.000016504238,9.954097e-7,0.0000014866469,0.00049685355,0.006668816,0.00008845327,0.006116149,0.016635273,0.00007618241],"about_ca_topic_score_codex":0.00014771216,"about_ca_topic_score_gemma":0.000007532287,"teacher_disagreement_score":0.27144065,"about_ca_system_score_codex":0.00018235036,"about_ca_system_score_gemma":0.000016949232,"threshold_uncertainty_score":0.99974895},"labels":[],"label_agreement":null},{"id":"W3046320074","doi":"10.1155/2020/5135026","title":"Did Attitudes Interpret and Predict “Better” Choice Behaviour towards Innovative and Greener Automotive Technologies? A Hybrid Choice Modelling Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Università degli Studi di Salerno","keywords":"Automotive industry; Perception; Affect (linguistics); GRASP; Logit; Computer science; Marketing; Engineering; Psychology; Business; Machine learning","score_opus":0.05634034466018207,"score_gpt":0.2330783358239556,"score_spread":0.17673799116377353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046320074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88125974,0.0007173022,0.11699316,0.00063761673,0.000067035005,0.00014162307,0.00008633804,0.000022592527,0.00007456396],"genre_scores_gemma":[0.9844926,0.00052848243,0.014690695,0.00016683174,0.00005314935,0.000008993263,0.00003636919,0.000016834014,0.0000060163584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988992,0.000008145298,0.00065659237,0.0002643736,0.000049124497,0.00012253465],"domain_scores_gemma":[0.9992845,0.0000298075,0.0005132006,0.00006728749,0.0000482949,0.00005690641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018351413,0.00014078582,0.00033158527,0.00012493438,0.000050869356,0.000028154187,0.00009656358,0.000063463776,0.000010660441],"category_scores_gemma":[0.000049722086,0.00014969846,0.000048042293,0.00012634974,0.00007728033,0.0008245385,0.000010116719,0.00024093759,0.0000016680966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006637214,0.00007759809,0.9391227,0.0000732439,0.00010453949,0.000003836588,0.0024759276,0.048477285,0.00017374258,0.0008668151,0.00001792584,0.0085400315],"study_design_scores_gemma":[0.0011003328,0.00027718692,0.9832825,0.000041568313,0.000029076667,0.0000067147453,0.00052240986,0.012409867,0.00052169984,0.0014627923,0.00016832052,0.00017751263],"about_ca_topic_score_codex":0.00002738958,"about_ca_topic_score_gemma":0.0000047201147,"teacher_disagreement_score":0.10323286,"about_ca_system_score_codex":0.00006779828,"about_ca_system_score_gemma":0.000010472817,"threshold_uncertainty_score":0.61045265},"labels":[],"label_agreement":null},{"id":"W3047265813","doi":"","title":"Commute Mode and Residential Location Choice","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Discrete choice; Mode choice; Business; Geographic information system; Public transport; Mode (computer interface); Location model; Transport engineering; Household income; Neighbourhood (mathematics); Public use; Public economics; Environmental economics; Geography; Economics; Econometrics; Microeconomics; Computer science; Engineering","score_opus":0.09963670218638979,"score_gpt":0.303805084711247,"score_spread":0.20416838252485722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047265813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9130661,0.0011619395,0.00008366379,0.00056013936,0.0007262525,0.0008915228,0.0001838469,0.000027673568,0.08329886],"genre_scores_gemma":[0.98235977,0.012695775,0.00039883348,0.00012234852,0.00023108325,0.00015955535,0.00021236301,0.000074281794,0.0037460104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970573,0.000101374244,0.0010468813,0.0011536522,0.000064790045,0.000575969],"domain_scores_gemma":[0.99802476,0.0002804653,0.00045893597,0.0010692544,0.000026709591,0.00013984661],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019448829,0.00030286005,0.0006864304,0.0005834306,0.0001466296,0.00022056613,0.0005380025,0.0005173447,0.00025480968],"category_scores_gemma":[0.0002407119,0.00042708122,0.000116792275,0.000083889965,0.0002503192,0.00028248096,0.0011422597,0.0011859472,0.00036309223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069797774,0.00023066718,0.8253374,0.00046604994,0.0001974119,0.000004419978,0.00090230553,0.12651433,0.000028187227,0.0156258,0.00040655155,0.030217085],"study_design_scores_gemma":[0.0016843255,0.0001151282,0.7588113,0.00020593884,0.000012143675,0.0000065973927,0.00034464817,0.17462547,0.000051499697,0.039687846,0.023443721,0.0010113501],"about_ca_topic_score_codex":0.0012831854,"about_ca_topic_score_gemma":0.00064135785,"teacher_disagreement_score":0.07955285,"about_ca_system_score_codex":0.0013068742,"about_ca_system_score_gemma":0.00011654833,"threshold_uncertainty_score":0.9998181},"labels":[],"label_agreement":null},{"id":"W3047439724","doi":"","title":"Understanding the Treatment Preferences of Neuroendocrine Tumor Patients Using Discrete Choice Experiments","year":2020,"lang":"en","type":"article","venue":"Pancreas","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre; University of Alberta","funders":"","keywords":"Neuroendocrine tumors; Medicine; Discrete choice; Internal medicine; Oncology; Computer science; Machine learning","score_opus":0.3733214016234297,"score_gpt":0.2676100028041029,"score_spread":0.10571139881932679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047439724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961672,0.0002567567,0.0010958735,0.00015903033,0.00010519602,0.00021290197,0.00006511709,0.000009127754,0.0019288049],"genre_scores_gemma":[0.9995509,0.000087857785,0.00012093683,0.00013442847,0.000045182598,0.0000131111055,0.000015148911,0.000012146957,0.000020282867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993129,0.000013515905,0.00030267038,0.00021196161,0.000027799291,0.00013119128],"domain_scores_gemma":[0.9995542,0.000030274132,0.00023675749,0.0001233834,0.000002660053,0.00005272448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039881445,0.000101014746,0.00019809321,0.000023172975,0.00007590114,0.000017737137,0.000103562495,0.000007889362,0.00020612706],"category_scores_gemma":[0.000026766158,0.00008424805,0.00006212403,0.000054900538,0.00004699553,0.00012652775,0.00003213911,0.000032940105,0.000060435246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001730613,0.00008072415,0.9926451,0.000009899646,0.00004876897,4.928724e-7,0.0007284353,0.0010310124,0.00009172799,0.0052774553,0.000013914241,0.000055155146],"study_design_scores_gemma":[0.0032756163,0.000856109,0.9663765,0.000030480844,0.000055545814,0.000001934263,0.0011316437,0.01335354,0.003696368,0.0090823155,0.0017447885,0.00039514774],"about_ca_topic_score_codex":0.00059654895,"about_ca_topic_score_gemma":0.0000058860855,"teacher_disagreement_score":0.026268598,"about_ca_system_score_codex":0.00024898324,"about_ca_system_score_gemma":0.00000706033,"threshold_uncertainty_score":0.34355357},"labels":[],"label_agreement":null},{"id":"W3047636364","doi":"10.1016/j.semarthrit.2020.08.005","title":"A discrete-choice experiment to assess patients’ preferences for osteoarthritis treatment: An ESCEO working group","year":2020,"lang":"en","type":"article","venue":"Seminars in Arthritis and Rheumatism","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Osteoporosis Canada","funders":"Leeds Biomedical Research Centre; Versus Arthritis; King Saud University; Medical Research Council; National Institute for Health and Care Research","keywords":"Medicine; Mixed logit; Latent class model; Physical therapy; Osteoarthritis; Logistic regression; Preference; Disease; Internal medicine; Alternative medicine; Statistics","score_opus":0.10693617458676968,"score_gpt":0.2522837104881392,"score_spread":0.1453475359013695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047636364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97802746,0.018802732,0.0007599554,0.00029081674,0.00019692942,0.00073100295,0.00018379543,0.00002249488,0.0009848365],"genre_scores_gemma":[0.97485363,0.02062136,0.0036551117,0.00022905663,0.000051271072,0.00038064498,0.00013944785,0.00002612663,0.00004332873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859214,0.000022927834,0.00053888414,0.0005422359,0.000035232475,0.00026857393],"domain_scores_gemma":[0.99943566,0.000073247444,0.00015814086,0.0001454421,0.00000475522,0.00018277965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017434423,0.00018997751,0.0003908611,0.00007872516,0.00012932181,0.00011008529,0.00010919925,0.00008030515,0.00014808014],"category_scores_gemma":[0.000048727645,0.00021911915,0.000055742905,0.000075716525,0.00004248316,0.00034389287,0.000055414883,0.000058436686,0.00004504648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002048716,0.00011060535,0.5265669,0.000011231883,0.000010768907,7.65199e-7,0.0040051364,0.0000435835,0.000034098968,0.0044647795,0.00007693482,0.46465465],"study_design_scores_gemma":[0.0064132204,0.0046951505,0.9672279,0.0019599819,0.000006788114,0.000002970278,0.0016779157,0.0022187252,0.00026931596,0.0062239715,0.0084552,0.0008488624],"about_ca_topic_score_codex":0.00020493894,"about_ca_topic_score_gemma":0.00035346052,"teacher_disagreement_score":0.4638058,"about_ca_system_score_codex":0.000107095846,"about_ca_system_score_gemma":0.000004843558,"threshold_uncertainty_score":0.89354193},"labels":[],"label_agreement":null},{"id":"W3047896760","doi":"10.1186/s12960-020-00498-4","title":"Preferences of physicians for public and private sector work","year":2020,"lang":"en","type":"article","venue":"Human Resources for Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Health and Medical Research Council; Medical Research Council; Department of Health and Aged Care, Australian Government; University of Melbourne; Monash University","keywords":"Public sector; Private sector; Earnings; Context (archaeology); Work (physics); Business; Health services research; Health care; Public economics; Labour economics; Economics; Accounting; Economic growth","score_opus":0.22414025746122213,"score_gpt":0.2670736565055169,"score_spread":0.04293339904429477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047896760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910517,0.00067865686,0.0022392075,0.0048373053,0.00003294305,0.0005129286,0.00018654992,0.000014703081,0.0004460542],"genre_scores_gemma":[0.9968835,0.00007887555,0.001109258,0.0016008093,0.000106269494,0.00006320344,0.000036861984,0.000015185015,0.00010603624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992132,0.000007765388,0.0003652499,0.00023152735,0.000014201235,0.000168011],"domain_scores_gemma":[0.9994467,0.000041453975,0.00036191032,0.00008566593,0.000004326287,0.00005994823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024578974,0.00007249271,0.00026089657,0.0000394047,0.00012871905,0.000023340946,0.00008982526,0.000032427426,0.000049025046],"category_scores_gemma":[0.000019503852,0.00008407995,0.000055336448,0.00004437009,0.000048481546,0.00007511399,0.000023419583,0.00003465807,0.000008689273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013385831,0.00017896337,0.78103536,0.0013437314,0.00014726908,3.6211816e-8,0.014978743,0.000183463,0.00007932902,0.17942284,0.011147548,0.011348884],"study_design_scores_gemma":[0.001993727,0.0013232183,0.64742225,0.0000463361,0.0000096101285,1.6047241e-7,0.00041464544,0.0019297366,0.00007509692,0.0325555,0.31391066,0.0003190629],"about_ca_topic_score_codex":0.000021002887,"about_ca_topic_score_gemma":0.00001398081,"teacher_disagreement_score":0.30276313,"about_ca_system_score_codex":0.000035488138,"about_ca_system_score_gemma":0.0000053567755,"threshold_uncertainty_score":0.3428681},"labels":[],"label_agreement":null},{"id":"W3048471507","doi":"10.1038/s41598-020-71558-x","title":"Modelling the Expected Probability of Correct Assignment Under Uncertainty","year":2020,"lang":"en","type":"preprint","venue":"Scientific Reports","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Council for Higher Education; Azrieli Foundation; Hebrew University of Jerusalem; European Commission","keywords":"Voronoi diagram; Boundary (topology); Representation (politics); Preference; Space (punctuation); Computer science; Perspective (graphical); Planner; Mathematical optimization; Econometrics; Mathematics; Statistics; Artificial intelligence","score_opus":0.20498048641705963,"score_gpt":0.23814734945544383,"score_spread":0.0331668630383842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048471507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90737474,0.0008021542,0.07542588,0.00075895956,0.009623539,0.0010987121,0.0000667163,0.000044774843,0.0048045483],"genre_scores_gemma":[0.9978604,0.000026785028,0.00088459876,0.00003982075,0.00007035109,0.00009264218,0.00020772767,0.00002101675,0.0007966697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968763,0.000044001143,0.0014345552,0.00128781,0.00012603894,0.0002312763],"domain_scores_gemma":[0.9967844,0.00004511631,0.0017164256,0.0013408622,0.000033307926,0.000079920035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024818173,0.00021826546,0.0005116815,0.00008978289,0.00018586313,0.00017066277,0.00030376046,0.00016257534,0.0005622776],"category_scores_gemma":[0.0000902445,0.0001991345,0.00026616483,0.00015065451,0.00033647,0.000088311965,0.0004593048,0.00031545895,0.00009271425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046658492,0.00007131775,0.012473219,0.00005457221,0.000056312827,0.0000027965928,0.0008214885,0.9815999,0.00005154339,0.0030639973,0.0017180309,0.00008212378],"study_design_scores_gemma":[0.00009739299,0.00001943552,0.0024711601,0.000038475806,0.000022934055,0.0000054236316,0.0002295308,0.3089783,0.0004142991,0.684436,0.0029932288,0.00029383524],"about_ca_topic_score_codex":0.0005540611,"about_ca_topic_score_gemma":0.000012972238,"teacher_disagreement_score":0.681372,"about_ca_system_score_codex":0.00044420818,"about_ca_system_score_gemma":0.0001071259,"threshold_uncertainty_score":0.81204695},"labels":[],"label_agreement":null},{"id":"W3049419343","doi":"10.1016/j.jclepro.2020.123669","title":"Reframing greenhouse gas emissions information presentation on the Environmental Protection Agency’s new-vehicle labels to increase willingness to pay","year":2020,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Concordia University; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; National Science Foundation","keywords":"Greenhouse gas; Framing (construction); Willingness to pay; Climate change; Environmental economics; Mixed logit; Carbon tax; Economics; Cognitive reframing; Logit; Econometrics; Logistic regression; Engineering; Microeconomics; Psychology; Mathematics; Statistics; Social psychology","score_opus":0.06939178822241615,"score_gpt":0.21796119443322817,"score_spread":0.14856940621081202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049419343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95901066,0.000023361381,0.012138377,0.027563823,0.0004207865,0.0005532029,0.000012333868,0.000014827245,0.00026261678],"genre_scores_gemma":[0.9969038,0.000060875303,0.0004966732,0.0013502464,0.00073207467,0.000016011616,0.0000090854255,0.000016727146,0.00041454137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99879783,0.000043589014,0.0007113251,0.00019641966,0.00011170715,0.00013909701],"domain_scores_gemma":[0.99900556,0.000018740662,0.0005947742,0.00016640333,0.000015682925,0.00019882094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006493734,0.00011847091,0.0001726692,0.00012945203,0.00017107144,0.00006853772,0.00014108709,0.00005455631,0.00024572725],"category_scores_gemma":[0.0003817243,0.00009488421,0.00007106536,0.0001574238,0.00001676715,0.0010087667,0.000039592298,0.00022566745,0.0006444846],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018023448,0.00064761715,0.09605804,0.00009439821,0.00022966346,0.000005009173,0.03917856,0.44039294,0.062191136,0.0019231539,0.047657724,0.3098194],"study_design_scores_gemma":[0.0021618302,0.0031753182,0.6335619,0.00014871609,0.00007601128,0.000064439904,0.0033228796,0.012579563,0.051344458,0.0058826287,0.2867759,0.00090637535],"about_ca_topic_score_codex":0.00008124265,"about_ca_topic_score_gemma":0.000003426113,"teacher_disagreement_score":0.53750384,"about_ca_system_score_codex":0.0002479663,"about_ca_system_score_gemma":0.000016395816,"threshold_uncertainty_score":0.82837605},"labels":[],"label_agreement":null},{"id":"W3060383049","doi":"10.1139/cjfas-2019-0434","title":"A spatial–temporal approach to modeling somatic growth across inland recreational fisheries landscapes","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada; Ministry of Environment; Alberta Environment and Protected Areas; University of Calgary","funders":"Alberta Conservation Association","keywords":"Statistics; Sander; Temporal scales; Econometrics; Environmental science; Ecology; Mathematics; Biology","score_opus":0.1095700445930058,"score_gpt":0.21102315847457587,"score_spread":0.10145311388157006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3060383049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97464174,0.0005841891,0.015192136,0.0061512156,0.00012141649,0.00008352125,0.000026334586,0.0000029336918,0.0031964951],"genre_scores_gemma":[0.99415725,0.000049540777,0.0048908475,0.0007410603,0.00011080337,0.000003619571,0.0000043534483,0.0000064947067,0.000036043635],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907255,0.000013395856,0.00046760365,0.00018562381,0.000052302225,0.0002085344],"domain_scores_gemma":[0.999323,0.000030312518,0.00021389937,0.000046285888,0.000011315764,0.00037517276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053724315,0.00009570361,0.00025745193,0.00008321398,0.00028699415,0.00027507142,0.00018467748,0.000036942547,0.0001093937],"category_scores_gemma":[0.00021931271,0.00009164128,0.00004538995,0.00014720122,0.00013882796,0.00047380448,0.000017366623,0.00006936222,0.0000176299],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006139929,0.000006749069,0.9892739,0.00001839786,0.000017578686,0.0000018056238,0.006570714,0.0011221552,0.0000016012277,0.0012357332,0.0006514371,0.0010938118],"study_design_scores_gemma":[0.0010036159,0.00072809035,0.31356132,0.00008823167,0.000020085101,0.000062306695,0.012759037,0.6358444,0.000022327356,0.030255208,0.005050714,0.0006046663],"about_ca_topic_score_codex":0.006813989,"about_ca_topic_score_gemma":0.0020422451,"teacher_disagreement_score":0.6757126,"about_ca_system_score_codex":0.00004678726,"about_ca_system_score_gemma":0.000119993136,"threshold_uncertainty_score":0.9997997},"labels":[],"label_agreement":null},{"id":"W3081242054","doi":"10.1002/jrsm.1445","title":"A comparison of meta‐methods for synthesizing indirect effects","year":2020,"lang":"en","type":"article","venue":"Research Synthesis Methods","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Statistics; Marginal likelihood; Univariate; Point estimation; Bayesian probability; Type I and type II errors; Mathematics; Statistical power; Correlation; Mean squared error; Standard error; Sample size determination; Econometrics; Computer science; Multivariate statistics","score_opus":0.7371253621022572,"score_gpt":0.5275340000878445,"score_spread":0.20959136201441275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081242054","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03383294,0.011410837,0.94345236,0.001460513,0.00016482065,0.0011444864,0.00006622394,0.00005010626,0.00841771],"genre_scores_gemma":[0.42503244,0.0001370176,0.57412827,0.00006201703,0.000071735136,0.00046519318,0.0000028791749,0.000039966693,0.000060504466],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961258,0.0017350739,0.000924237,0.00063537614,0.000081448954,0.000498033],"domain_scores_gemma":[0.98080784,0.018175075,0.00039902967,0.0003816483,0.000037872887,0.00019852116],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.018462732,0.00019711454,0.001455177,0.00031387582,0.00018247729,0.000049182792,0.00044510214,0.00016216894,0.0005803256],"category_scores_gemma":[0.016665014,0.00020660023,0.0004561119,0.00037646934,0.0001746771,0.00018215433,0.00016337463,0.00027072782,0.00014368934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025142042,0.00058733526,0.05425704,0.0020588771,0.0043251053,0.0000012935377,0.0043336824,0.0007508371,0.06040209,0.08183717,0.0013015029,0.7898936],"study_design_scores_gemma":[0.00042774444,0.00041385344,0.011641897,0.000049427857,0.00031126352,7.5266644e-7,0.00048293464,0.06888731,0.85009104,0.033476893,0.033751957,0.0004649435],"about_ca_topic_score_codex":0.000043545686,"about_ca_topic_score_gemma":8.531273e-7,"teacher_disagreement_score":0.78968894,"about_ca_system_score_codex":0.00014509431,"about_ca_system_score_gemma":0.000026970969,"threshold_uncertainty_score":0.99161804},"labels":[],"label_agreement":null},{"id":"W3081800281","doi":"10.1139/cjfr-2020-0016","title":"An integrated multi-criteria decision analysis and optimization modeling approach to spatially operational road repair decisions","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University; Université Laval","funders":"Tarbiat Modares University; Sveriges Lantbruksuniversitet; Oregon State University","keywords":"Computer science; Terrain; Forest road; Operations research; Integer programming; Transport engineering; Engineering; Geography","score_opus":0.2393192160134841,"score_gpt":0.31905409064522394,"score_spread":0.07973487463173984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081800281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4962383,0.00014214718,0.5030242,0.00028494414,0.000030574032,0.0000970816,0.000047442965,0.000002415931,0.00013285717],"genre_scores_gemma":[0.8387468,0.000060839157,0.16086939,0.00015015622,0.00007064042,0.0000048914535,0.000066408225,0.000012791986,0.000018071109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867076,0.00006373557,0.0006370978,0.000294448,0.00009246129,0.00024151754],"domain_scores_gemma":[0.9986136,0.00004557399,0.00010396752,0.00016176591,0.00016576024,0.00090934394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016834699,0.00009197479,0.00027401504,0.001012716,0.0002489452,0.00022606678,0.0002476465,0.000079763784,0.00033189476],"category_scores_gemma":[0.0007767396,0.00009741593,0.0000939774,0.00066886283,0.0000526977,0.0004604183,0.000027079452,0.00023208592,0.000035483718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021684149,0.000022107788,0.1892401,0.0000015859496,0.00005754646,0.000003298327,0.00057135196,0.8081909,0.0000048872807,0.00069218705,0.00012465214,0.0010697098],"study_design_scores_gemma":[0.0002927984,0.0001418363,0.15852751,0.0000088401775,0.000011825442,0.000003942007,0.00021247283,0.84022987,0.0000018277009,0.0002653741,0.00021866518,0.00008507239],"about_ca_topic_score_codex":0.008195391,"about_ca_topic_score_gemma":0.01629352,"teacher_disagreement_score":0.3425085,"about_ca_system_score_codex":0.00028740428,"about_ca_system_score_gemma":0.00024779138,"threshold_uncertainty_score":0.9984091},"labels":[],"label_agreement":null},{"id":"W3082670794","doi":"10.1016/j.jort.2020.100321","title":"Choice experiments in outdoor recreation","year":2020,"lang":"en","type":"article","venue":"Journal of Outdoor Recreation and Tourism","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Ministry of Natural Resources and Forestry","funders":"","keywords":"Recreation; Psychology; Ecology; Biology","score_opus":0.14699336631451076,"score_gpt":0.25938063722538934,"score_spread":0.11238727091087858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082670794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98713386,0.0016518958,0.0013922065,0.0033800916,0.00021001781,0.0001376355,0.000008300947,0.000007048462,0.0060789133],"genre_scores_gemma":[0.9957452,0.0009321621,0.0018895728,0.00059462094,0.000287239,0.0000048392926,0.000009206417,0.000013722172,0.0005234428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998911,0.000024702447,0.0007346161,0.00017136405,0.000045024546,0.00011324144],"domain_scores_gemma":[0.99915755,0.00003605498,0.00059551816,0.00007086835,0.000015003946,0.00012501184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038855095,0.0001016769,0.00029996823,0.00014790898,0.000039189308,0.000044843742,0.00008143281,0.00007891815,0.00046406258],"category_scores_gemma":[0.00015402367,0.00011031095,0.0000702851,0.00008889553,0.000022217071,0.0004567243,0.000021333086,0.00013971585,0.00010955846],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014906835,0.00020688747,0.9709325,0.00003680306,0.00009396117,0.000016713615,0.0047405506,0.00043920387,0.0010352843,0.005684786,0.004330722,0.012333509],"study_design_scores_gemma":[0.0031134111,0.00034081299,0.94692916,0.000051900675,0.0000171198,0.000016178954,0.00062793784,0.0037022186,0.0009713319,0.0033155119,0.04064673,0.0002677046],"about_ca_topic_score_codex":0.000068855,"about_ca_topic_score_gemma":0.000003392253,"teacher_disagreement_score":0.036316007,"about_ca_system_score_codex":0.00012348121,"about_ca_system_score_gemma":0.000011546516,"threshold_uncertainty_score":0.508116},"labels":[],"label_agreement":null},{"id":"W3087875349","doi":"10.1108/jpif-07-2020-0086","title":"Practice briefing – Automated valuation models (AVMs): their role, their advantages and their limitations","year":2020,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Valuation (finance); Computer science; Originality; Risk analysis (engineering); Management science; Economics; Business; Accounting; Sociology","score_opus":0.1733666922925358,"score_gpt":0.22629160740023535,"score_spread":0.05292491510769956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087875349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.938395,0.02548457,0.008556074,0.018479222,0.00018151726,0.00047463342,0.00007885633,0.00004979122,0.008300308],"genre_scores_gemma":[0.97748923,0.014866549,0.003498518,0.0038883567,0.00008714956,0.0000113634715,0.000009005514,0.000019259664,0.0001305749],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998887,0.00004427884,0.0006419761,0.00023671366,0.000037907066,0.00015214401],"domain_scores_gemma":[0.99889773,0.00010307634,0.0007773232,0.000102942045,0.00004161626,0.00007730047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006136854,0.0001709254,0.0003448457,0.00007303996,0.00014571969,0.00008816792,0.00010791499,0.00006800033,0.000009106443],"category_scores_gemma":[0.00015136824,0.00011734465,0.00006532363,0.00008720022,0.00007989773,0.0014110766,0.000055490334,0.0001649991,0.000014241736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010181015,0.0016921056,0.05736228,0.00038792868,0.001724299,0.00003159425,0.15795095,0.090379536,0.009628049,0.45233384,0.014990197,0.21250111],"study_design_scores_gemma":[0.0018342495,0.0008185125,0.02871356,0.00008955927,0.00003939258,0.00008212851,0.0042808377,0.79587173,0.00083366927,0.0799782,0.08700752,0.00045065218],"about_ca_topic_score_codex":0.000019682271,"about_ca_topic_score_gemma":0.0000020519037,"teacher_disagreement_score":0.7054922,"about_ca_system_score_codex":0.000068480964,"about_ca_system_score_gemma":0.000027915623,"threshold_uncertainty_score":0.4785176},"labels":[],"label_agreement":null},{"id":"W3093521475","doi":"10.1561/101.00000119","title":"Behavioural Economics, Benefit-Cost Analysis, and the WTP versus WTA Choice","year":2020,"lang":"en","type":"article","venue":"International Review of Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Willingness to pay; Microeconomics; Econometrics","score_opus":0.05998124176031869,"score_gpt":0.2190587032831638,"score_spread":0.1590774615228451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093521475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95369864,0.03190095,0.00005623984,0.0075146947,0.00018798803,0.0003923417,0.0006872064,0.0000075215826,0.0055544493],"genre_scores_gemma":[0.8677507,0.12926617,0.000110603076,0.0023476572,0.00010566832,0.00002601555,0.00018922603,0.000016657463,0.00018729038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854994,0.000018191247,0.00081992865,0.00043630056,0.000030027002,0.00014559602],"domain_scores_gemma":[0.9989534,0.00012757575,0.00059411983,0.00020289989,0.000002645489,0.00011935009],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041681036,0.00018520464,0.00055484916,0.00006998116,0.00008087783,0.00004253542,0.0002822842,0.0000667558,0.0009975272],"category_scores_gemma":[0.000040367944,0.00017425187,0.00023391307,0.00003837025,0.0003395035,0.0001972492,0.00023807754,0.00013083879,0.000114940696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029801184,0.00012507904,0.8772933,0.00022185773,0.001814704,8.1246424e-7,0.00048460992,0.0009253275,0.0000109989705,0.09228502,0.00034275505,0.026197562],"study_design_scores_gemma":[0.0044710664,0.000103748534,0.81594074,0.00007997756,0.00040134,0.000006790983,0.00023778778,0.009413023,0.00003915603,0.0018509221,0.16697207,0.00048336483],"about_ca_topic_score_codex":0.00010180563,"about_ca_topic_score_gemma":0.000021849457,"teacher_disagreement_score":0.16662931,"about_ca_system_score_codex":0.00012448832,"about_ca_system_score_gemma":0.0000038554367,"threshold_uncertainty_score":0.9999157},"labels":[],"label_agreement":null},{"id":"W3094048255","doi":"10.1002/hec.4181","title":"Parental beliefs and willingness to pay for reduction in their child's asthma symptoms: A joint estimation approach","year":2020,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Willingness to pay; Asthma; Endogeneity; Contingent valuation; Valuation (finance); Unobservable; Medicine; Revealed preference; Economics; Worry; Amenity; Actuarial science; Econometrics; Psychiatry; Microeconomics; Anxiety","score_opus":0.10104486715621842,"score_gpt":0.23320156088075772,"score_spread":0.1321566937245393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094048255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96221095,0.0005840244,0.023853192,0.01105477,0.00028497,0.0012336782,0.00024146296,0.000031826235,0.0005050967],"genre_scores_gemma":[0.9909502,0.0005419097,0.0058709094,0.002019728,0.00020259223,0.00019337515,0.0001686902,0.00003329982,0.000019257082],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835384,0.000013945806,0.00079455157,0.00054901006,0.000010309429,0.00027837302],"domain_scores_gemma":[0.9992978,0.000016615,0.00033728243,0.00014437409,0.0000039923593,0.00019994688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000518958,0.00016129337,0.0004210804,0.00010082097,0.00013163981,0.000049687445,0.00008158096,0.00007950156,0.000021679594],"category_scores_gemma":[0.000027396265,0.0001838837,0.00005774121,0.000070124726,0.000025971984,0.00027692702,0.000047001646,0.00011067954,0.000073454205],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033036323,0.00067749684,0.37185448,0.0012515696,0.0001470814,3.8257633e-7,0.03540695,0.25544825,0.000019456418,0.15870799,0.0015364714,0.1746195],"study_design_scores_gemma":[0.0019274586,0.00051396765,0.43400154,0.000041295603,0.000002848161,0.000013612347,0.0010390151,0.5422238,0.000042127598,0.007916642,0.011767072,0.0005106235],"about_ca_topic_score_codex":0.0001223985,"about_ca_topic_score_gemma":0.000022508437,"teacher_disagreement_score":0.28677553,"about_ca_system_score_codex":0.000426832,"about_ca_system_score_gemma":0.00002820834,"threshold_uncertainty_score":0.749856},"labels":[],"label_agreement":null},{"id":"W3094106224","doi":"10.18666/jpra-2020-10390","title":"The Relationship between Parks and Protected Areas and Gateway Communities in the United States and Canada: A Scoping Review","year":2020,"lang":"en","type":"review","venue":"Journal of Park and Recreation Administration","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Gateway (web page); Recreation; Thematic analysis; Sociocultural evolution; Variety (cybernetics); Geography; Qualitative research; Public relations; Sociology; Political science; Social science; Population; Demography","score_opus":0.2172656997483016,"score_gpt":0.3150449625282157,"score_spread":0.09777926277991408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094106224","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023023559,0.9743493,0.00004820885,0.0017571737,0.00002710684,0.00069887843,0.000033681892,0.0000016522995,0.000060432125],"genre_scores_gemma":[0.029078348,0.97048825,0.000052069918,0.00010211651,0.00004243463,0.000030766663,0.00018161611,0.000007963144,0.000016459233],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985312,0.000255217,0.0009835432,0.00010768803,0.00004411846,0.00007818462],"domain_scores_gemma":[0.9976566,0.0010382195,0.0011496027,0.000083855084,0.000015406393,0.00005632316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001440467,0.0001355285,0.0005723278,0.00009202735,0.00024028686,0.00013017685,0.00006895333,0.00008004872,0.000004792655],"category_scores_gemma":[0.00028924207,0.00009189325,0.000031850224,0.0001075202,0.000090946465,0.00014021745,0.000019156958,0.0002929967,4.3854328e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056520734,0.00006153398,0.59848136,0.044782516,0.00038603318,0.000015419957,0.003699941,0.00001054651,6.050539e-8,0.013801942,0.0011294058,0.33757475],"study_design_scores_gemma":[0.00087387906,0.0005012929,0.37523872,0.08604176,0.00056038296,0.0003495379,0.0028659722,0.00028873063,2.8187645e-7,0.0042049126,0.52850986,0.00056464813],"about_ca_topic_score_codex":0.004967366,"about_ca_topic_score_gemma":0.016475897,"teacher_disagreement_score":0.52738047,"about_ca_system_score_codex":0.00007915831,"about_ca_system_score_gemma":0.00015025679,"threshold_uncertainty_score":0.9193938},"labels":[],"label_agreement":null},{"id":"W3095503834","doi":"10.1007/s40271-020-00467-y","title":"Respondent Understanding in Discrete Choice Experiments: A Scoping Review","year":2020,"lang":"en","type":"review","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"Eli Lilly Canada; Amgen Canada; Lundbeck Canada; Scottish Government; Merck Canada; H. Lundbeck A/S; University of Technology Sydney; Amgen; Pfizer; Eli Lilly and Company; F. Hoffmann-La Roche; Pfizer Canada; Novartis Pharmaceuticals Canada; Michael Smith Health Research BC; GlaxoSmithKline","keywords":"EconLit; Respondent; Context (archaeology); MEDLINE; Systematic review; Psychology; Sample size determination; Applied psychology; Statistics","score_opus":0.4631825439052442,"score_gpt":0.35722374073131397,"score_spread":0.10595880317393025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095503834","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001122019,0.99322945,0.00034772733,0.00008453294,0.00030775272,0.0017724412,0.00007259922,0.000016717993,0.00415757],"genre_scores_gemma":[0.000115785486,0.99876237,0.00009105207,0.00030697466,0.000051817024,0.0004259519,0.00011706947,0.000050530245,0.000078443634],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974313,0.00006878261,0.0015496939,0.0006388272,0.00004943993,0.00026198084],"domain_scores_gemma":[0.9985948,0.00008578458,0.00090705487,0.00031826002,0.0000018861344,0.00009221372],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003533549,0.00030878678,0.0016579647,0.00019190506,0.000051638137,0.00003812547,0.00020370768,0.00011913569,0.0007478177],"category_scores_gemma":[0.00011207969,0.0003396878,0.00030602366,0.00021407896,0.000026820098,0.00016067384,0.0001596926,0.00022260434,0.0013995363],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019362917,0.00042197382,0.0035220033,0.31909227,0.00053256005,0.000060871494,0.0021061904,0.000054651326,1.5122953e-7,0.046352472,0.0028303636,0.62500715],"study_design_scores_gemma":[0.00021668465,0.0000748618,0.000024401677,0.2148882,0.0000481817,0.000002579492,0.000051255658,0.000032518466,2.1039331e-7,0.00043117467,0.783736,0.00049394416],"about_ca_topic_score_codex":0.000046723195,"about_ca_topic_score_gemma":0.0000113753185,"teacher_disagreement_score":0.7809056,"about_ca_system_score_codex":0.0020050295,"about_ca_system_score_gemma":0.000044828044,"threshold_uncertainty_score":0.9999055},"labels":[],"label_agreement":null},{"id":"W309657496","doi":"","title":"Estimating the Value of Forestry Eco-tourism Products by Contingent Valuation Method ESTIMATION DE VALEUR DES PRODUITS ÉCO-TOURISTIQUES SYLVICOLS PAR LA MÉTHODE D'EVALUATION CONTINGENTE","year":2007,"lang":"fr","type":"article","venue":"Canadian social science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Forestry; Tourism; Value (mathematics); Willingness to pay; Welfare economics; Economics; Geography; Political science; Mathematics; Microeconomics; Law","score_opus":0.08042527368151993,"score_gpt":0.2986351279513898,"score_spread":0.21820985426986989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W309657496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.855353,0.0028495518,0.12849332,0.0024378046,0.0010930839,0.0014706462,0.00019609799,0.000026770944,0.008079709],"genre_scores_gemma":[0.8929581,0.00006138206,0.10568359,0.00023861736,0.00041867018,0.000070951915,0.000055079858,0.000032413864,0.00048121726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966649,0.0003131498,0.0010556957,0.00074141205,0.00028717463,0.00093766797],"domain_scores_gemma":[0.9975895,0.0002716142,0.0012144065,0.00039679406,0.00024918144,0.0002784499],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.029724464,0.00026033836,0.00040498335,0.00027123294,0.0012419786,0.00026392282,0.00065946,0.00025379605,0.000069741276],"category_scores_gemma":[0.0036286819,0.00031395484,0.00010497545,0.00071238895,0.0012846784,0.0008945743,0.000096579024,0.00029708087,0.00003246049],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023576258,0.00020594164,0.54397184,0.00036786488,0.00012357788,0.000005730115,0.016798668,0.017757345,0.0020039557,0.1037446,0.005172897,0.30982402],"study_design_scores_gemma":[0.00049002963,0.000069776965,0.47629717,0.00014441677,0.00011804022,0.000010691635,0.0008440568,0.4743488,0.0046002544,0.040386878,0.0022780555,0.00041182747],"about_ca_topic_score_codex":0.016455952,"about_ca_topic_score_gemma":0.002361491,"teacher_disagreement_score":0.45659146,"about_ca_system_score_codex":0.003263888,"about_ca_system_score_gemma":0.0009343758,"threshold_uncertainty_score":0.9999313},"labels":[],"label_agreement":null},{"id":"W3099406831","doi":"10.1016/j.exis.2020.10.006","title":"From white to green gold: Digging into public expectations and preferences for ecological restoration of asbestos mines in southeastern Quebec, Canada","year":2020,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal; Institut Universitaire en Santé Mentale de Québec; Institut universitaire en santé mentale de Montréal; Université TÉLUQ; Ministère des Ressources naturelles et des Forêts; Université du Québec en Outaouais","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec-Société et Culture","keywords":"Tailings; Restoration ecology; Environmental planning; Land reclamation; Surface mining; Environmental restoration; Environmental resource management; Sustainability; Coal mining; Geography; Ecology; Environmental science; Archaeology","score_opus":0.11957956948427532,"score_gpt":0.23249320857255262,"score_spread":0.1129136390882773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099406831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98775285,0.00019404593,0.0006879757,0.010858109,0.00003234595,0.00022426683,0.00012009919,0.0000031190946,0.00012716478],"genre_scores_gemma":[0.99923456,0.000024668934,0.00022902706,0.00023326447,0.000064316446,0.00004172337,0.000025297504,0.0000042568736,0.00014289907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994876,0.000013364786,0.0002248183,0.00017219057,0.000019718544,0.000082336715],"domain_scores_gemma":[0.9996236,0.00013203977,0.0001401192,0.000050101386,0.000009541321,0.0000445804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113233116,0.00006524905,0.00014722481,0.000012313135,0.00007587637,0.000033224536,0.000057870348,0.000060995793,0.000024135554],"category_scores_gemma":[0.00006899304,0.000058492667,0.000019803001,0.00005902537,0.00006189514,0.00019086924,0.000035652985,0.0000713666,9.4520954e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023637213,0.000031492193,0.9387548,0.000012439146,0.000058501566,1.1933403e-7,0.0531982,0.00015779909,0.00006808839,0.0019884654,0.001685185,0.0040212646],"study_design_scores_gemma":[0.0003017485,0.000057029596,0.9175332,0.0000066348925,0.000007285073,9.494306e-8,0.07527183,0.0020605105,0.000043575594,0.0030187962,0.0015877847,0.000111505244],"about_ca_topic_score_codex":0.1582627,"about_ca_topic_score_gemma":0.39785916,"teacher_disagreement_score":0.23959647,"about_ca_system_score_codex":0.00006803356,"about_ca_system_score_gemma":0.00004282246,"threshold_uncertainty_score":0.8473425},"labels":[],"label_agreement":null},{"id":"W3101787475","doi":"10.1017/s1742170520000307","title":"Profitability prospects, risk aversion and time preferences of soybean producers in the region of Santarém, Brazilian Amazon: perspectives for an ecological transition","year":2020,"lang":"en","type":"article","venue":"Renewable Agriculture and Food Systems","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Profitability index; Economics; Risk aversion (psychology); Volatility (finance); Agriculture; Profit (economics); Business; Natural resource economics; Agricultural science; Microeconomics; Financial economics; Ecology; Expected utility hypothesis; Finance; Environmental science","score_opus":0.05364217504825267,"score_gpt":0.19806758143410164,"score_spread":0.14442540638584897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101787475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960671,0.0017104781,0.00017329947,0.00032002962,0.00002124831,0.0010310753,0.00010234562,0.00000650799,0.0005679338],"genre_scores_gemma":[0.99949944,0.00028117775,0.000052420175,0.000012197582,0.000054177322,0.00004765314,0.00003387529,0.0000035878859,0.000015441683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915314,0.00006055894,0.0003398769,0.0003235576,0.00002902917,0.00009385523],"domain_scores_gemma":[0.9995491,0.000037619087,0.00027460683,0.000088761924,0.000015186329,0.000034728895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003851394,0.000093007,0.00029031068,0.000025694086,0.00006219438,0.000020742438,0.00007101353,0.00008744105,0.0000046943346],"category_scores_gemma":[0.000029689329,0.000062465304,0.000041752162,0.00008466044,0.00006314752,0.00019422054,0.0000106761,0.00005449532,9.157771e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000436515,0.0013303185,0.84997237,0.0020163679,0.00024773774,8.590209e-7,0.1154726,0.0050318604,0.007141585,0.01624554,0.0014332421,0.0006709861],"study_design_scores_gemma":[0.0016475592,0.0051432103,0.9348483,0.00007858798,0.000059769834,0.000010397071,0.043573704,0.0062213354,0.0012193163,0.006553813,0.00030359477,0.00034039607],"about_ca_topic_score_codex":0.0003880705,"about_ca_topic_score_gemma":0.0001163356,"teacher_disagreement_score":0.08487593,"about_ca_system_score_codex":0.000033876273,"about_ca_system_score_gemma":0.0000053615418,"threshold_uncertainty_score":0.2547261},"labels":[],"label_agreement":null},{"id":"W3101951083","doi":"10.5539/ijsp.v4n1p148","title":"Estimating Explained Variation of a Latent Scale Dependent Variable Underlying a Binary Indicator of Event Occurrence","year":2015,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"James Madison University","keywords":"Mathematics; Statistics; Econometrics; Logistic regression; Context (archaeology); Statistic; Linear regression; Regression diagnostic; Local independence; Regression analysis; Latent variable; Proxy (statistics); Latent variable model; Bayesian multivariate linear regression; Geography","score_opus":0.10849181209509928,"score_gpt":0.2782793264003667,"score_spread":0.1697875143052674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101951083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7081357,0.0001539462,0.29062703,0.00006588123,0.00036956943,0.00007305606,0.00047947702,0.000001209272,0.00009410925],"genre_scores_gemma":[0.8963962,0.000036165507,0.10350352,0.000011350011,0.000023746485,0.0000022689255,0.000018462793,0.0000030143865,0.0000052451987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988133,0.000023870827,0.00087918603,0.000114457805,0.00010455632,0.00006466364],"domain_scores_gemma":[0.99844956,0.00008746156,0.0012053028,0.0000695914,0.00012804633,0.000060011887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013782475,0.00006251014,0.00021651306,0.00009901589,0.000017811704,0.000016753105,0.0001257042,0.000034441353,0.00008228996],"category_scores_gemma":[0.00026706097,0.000066031644,0.000030913,0.00003405,0.000054522803,0.00017681041,0.000051760064,0.0000719585,0.0000030461556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001711459,0.000536484,0.88037544,0.00012475457,0.00020050825,0.0000029516336,0.0024399695,0.036298588,0.00032368905,0.07498489,0.00010974102,0.004431817],"study_design_scores_gemma":[0.001386757,0.00038418654,0.54587305,0.000083060855,0.000025291907,0.000020579875,0.00011463904,0.081469595,0.000105267434,0.37036029,0.000050628827,0.00012664226],"about_ca_topic_score_codex":0.00011073165,"about_ca_topic_score_gemma":0.0000045244765,"teacher_disagreement_score":0.3345024,"about_ca_system_score_codex":0.00016571899,"about_ca_system_score_gemma":0.00006543855,"threshold_uncertainty_score":0.26926923},"labels":[],"label_agreement":null},{"id":"W3104989637","doi":"10.1186/s12903-020-01303-3","title":"An overview of the methodological aspects and policy implications of willingness-to-pay studies in oral health: a scoping review of existing literature","year":2020,"lang":"en","type":"review","venue":"BMC Oral Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Health economics; Willingness to pay; Health services research; Oral and maxillofacial surgery; Health policy; Thematic analysis; Subsidy; Population health; Population; Health administration; Health care; Goods and services; Public economics; Medical education; Actuarial science; Public health; Environmental health; Social science; Nursing; Qualitative research; Economics; Sociology; Economic growth; Dentistry","score_opus":0.8630530101291655,"score_gpt":0.5676441614028099,"score_spread":0.29540884872635553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104989637","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001470574,0.99627703,0.000184424,0.001116308,0.00008017596,0.0017882743,0.00034469712,0.0000056079084,0.000056403354],"genre_scores_gemma":[0.00041629784,0.98973507,0.008568324,0.001075497,0.0000548037,0.00007601154,0.000045266042,0.000020950085,0.00000778675],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9963309,0.0006054529,0.0023325891,0.0004601813,0.000042183605,0.00022870376],"domain_scores_gemma":[0.9965257,0.0003296873,0.0026063907,0.00040254326,0.000022222324,0.00011345735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003324401,0.00022946528,0.003276031,0.00016164541,0.00006648335,0.000007858837,0.00025689066,0.0001049515,0.000011635301],"category_scores_gemma":[0.0007721798,0.0001682952,0.0002307147,0.0007684367,0.00010216606,0.000087853645,0.00015774666,0.00023431478,0.0000033221265],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038315097,0.00008221107,0.013035411,0.6479862,0.000041591058,1.332472e-7,0.0004867672,0.000011461331,6.152421e-8,0.06530161,0.000052872085,0.27299786],"study_design_scores_gemma":[0.00040444048,0.00068050803,0.060080968,0.8831347,0.00007069201,0.00001719378,0.00010566717,0.00003972207,4.761971e-7,0.016078688,0.03891506,0.0004718576],"about_ca_topic_score_codex":0.00036903372,"about_ca_topic_score_gemma":0.00044092894,"teacher_disagreement_score":0.272526,"about_ca_system_score_codex":0.00036873168,"about_ca_system_score_gemma":0.00046139953,"threshold_uncertainty_score":0.68628794},"labels":[],"label_agreement":null},{"id":"W3107661163","doi":"10.31219/osf.io/fsgrx","title":"The inner-city inhabitants and foreigners’ contribution commitment to improving air pollution: Dataset from a field survey in Hanoi","year":2020,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Contingent valuation; Air pollution; Stratified sampling; Willingness to pay; Air quality index; Valuation (finance); Field survey; Business; Environmental planning; Survey data collection; Pollution; Geography; Environmental resource management; Natural resource economics; Environmental science; Economics; Cartography; Meteorology","score_opus":0.0966362232835237,"score_gpt":0.22636285203045708,"score_spread":0.1297266287469334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107661163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801798,0.00030404417,0.0063976035,0.008962492,0.000096710544,0.00031778426,0.0033284414,0.000010155285,0.00040296296],"genre_scores_gemma":[0.9932387,0.000056143686,0.00016792944,0.005690762,0.000037332553,0.000022506361,0.00075550977,0.0000055948462,0.00002555579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912107,0.000030107667,0.0003724009,0.0002902602,0.000021247599,0.00016488592],"domain_scores_gemma":[0.9995084,0.00013031192,0.00010785751,0.00016444591,0.000004348089,0.00008464729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006209056,0.000090294314,0.00017747242,0.00002986026,0.00011804764,0.00004797252,0.00011674927,0.000056694316,0.00017334244],"category_scores_gemma":[0.00025633266,0.00008517391,0.000019288846,0.00008535169,0.00002537159,0.00017737618,0.00013897699,0.00008211937,0.00015422291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005557708,0.00002293586,0.98487675,0.0000021707046,0.000015954829,5.543179e-7,0.00017757257,0.00010107774,0.00003009032,0.005969355,0.0069281114,0.0018198305],"study_design_scores_gemma":[0.0006199578,0.000100047146,0.9881387,0.000002748942,0.0000020107325,1.9417169e-7,0.00010189828,0.0035805928,0.00021330407,0.0021599967,0.0049568163,0.0001237843],"about_ca_topic_score_codex":0.005128387,"about_ca_topic_score_gemma":0.0037724671,"teacher_disagreement_score":0.013058861,"about_ca_system_score_codex":0.0001339987,"about_ca_system_score_gemma":0.0000064985534,"threshold_uncertainty_score":0.77526206},"labels":[],"label_agreement":null},{"id":"W3108247818","doi":"10.1017/bca.2020.25","title":"Averting Expenditures and Willingness to Pay for Electricity Supply Reliability","year":2020,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Electricity; Willingness to pay; Economic shortage; Business; Mains electricity; Reliability (semiconductor); Service (business); Value (mathematics); Actuarial science; Environmental economics; Economics; Marketing; Microeconomics; Engineering; Government (linguistics); Power (physics); Computer science","score_opus":0.0536239802309804,"score_gpt":0.2336543095594796,"score_spread":0.18003032932849922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108247818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9552875,0.00044910307,0.041290525,0.002595129,0.00007465674,0.0001461569,0.000073364215,0.0000045696547,0.00007896172],"genre_scores_gemma":[0.99645704,0.00016314513,0.002458498,0.0006764667,0.00017767573,0.000007729973,0.00001288359,0.0000111666295,0.000035372916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867207,0.000010010527,0.0008420775,0.00025953565,0.00004512126,0.00017118949],"domain_scores_gemma":[0.99894387,0.000088170455,0.00064024585,0.000117168485,0.00003025499,0.0001802994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007418933,0.000112487185,0.0005473863,0.00018985884,0.0000924315,0.000059351754,0.00014666592,0.00005880404,0.0001653327],"category_scores_gemma":[0.00021274047,0.00010345374,0.0003138202,0.00026095484,0.000013633495,0.00023880026,0.00003239113,0.00011494614,0.00002083816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007295329,0.00003799024,0.9675692,0.000014152348,0.00034882402,8.210247e-7,0.00050989125,0.028127989,0.00018353552,0.0006865458,0.00032101944,0.002127078],"study_design_scores_gemma":[0.00071001507,0.00024678654,0.95364195,0.000007156538,0.00034392136,0.000002690262,0.00019895683,0.033475116,0.0011407285,0.0048621325,0.0051231165,0.00024741932],"about_ca_topic_score_codex":0.000052548457,"about_ca_topic_score_gemma":0.000016462896,"teacher_disagreement_score":0.041169528,"about_ca_system_score_codex":0.00011939658,"about_ca_system_score_gemma":0.000007691758,"threshold_uncertainty_score":0.4218721},"labels":[],"label_agreement":null},{"id":"W3108944941","doi":"10.1111/csp2.310","title":"Conservation in heavily urbanized biodiverse regions requires urgent management action and attention to governance","year":2020,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Parks Canada; Ministry of Forests; Birds Canada; Fisheries and Oceans Canada; Environment and Climate Change Canada; BGC Engineering (Canada); Raincoast Conservation Foundation; University of British Columbia; Surrey Memorial Hospital; University of Victoria; Ducks Unlimited Canada","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Corporate governance; Biodiversity; Environmental planning; Business; Environmental resource management; Investment (military); Activity-based costing; Geography; Ecology; Environmental science; Finance; Political science","score_opus":0.2911829776868946,"score_gpt":0.2962921086390079,"score_spread":0.005109130952113294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108944941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86386865,0.0002598745,0.0029849836,0.12823375,0.0001593074,0.00042861118,0.000017252238,0.000020648302,0.004026907],"genre_scores_gemma":[0.97481316,0.0012510843,0.0029340289,0.02073667,0.00002409224,0.00003278703,0.000009134009,0.000005740112,0.00019327646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989136,0.00003216164,0.00036467522,0.00045309978,0.00008850442,0.00014795404],"domain_scores_gemma":[0.9992855,0.000108505774,0.00029660048,0.0001253849,0.00004531912,0.00013869556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014657127,0.000087858905,0.00013322852,0.00011291617,0.00020008752,0.00013429827,0.0000927688,0.000036651043,0.00005815347],"category_scores_gemma":[0.001251118,0.000109812114,0.000014195855,0.000532061,0.00013992822,0.0021351,0.00008618752,0.000067319444,0.00016485964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003497501,0.00012128944,0.6658799,0.00008054112,0.000029047818,0.0000075847156,0.0025803694,0.00014017546,0.003872593,0.30646464,0.012679425,0.007794673],"study_design_scores_gemma":[0.0006580138,0.00007084333,0.877333,0.000018522082,0.000010033471,0.0000058663463,0.0012013663,0.0054223463,0.00006180725,0.0013213229,0.11373246,0.00016444689],"about_ca_topic_score_codex":0.0004455061,"about_ca_topic_score_gemma":0.00004399286,"teacher_disagreement_score":0.3051433,"about_ca_system_score_codex":0.00017460095,"about_ca_system_score_gemma":0.000030153013,"threshold_uncertainty_score":0.44780082},"labels":[],"label_agreement":null},{"id":"W3111159997","doi":"10.1007/s40271-020-00486-9","title":"Eliciting Preferences for HIV Prevention Technologies: A Systematic Review","year":2020,"lang":"en","type":"review","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Conjoint analysis; Checklist; Microbicides for sexually transmitted diseases; CINAHL; Medicine; Preference; Willingness to pay; Scale (ratio); Pre-exposure prophylaxis; Human immunodeficiency virus (HIV); Family medicine; Psychological intervention; Environmental health; Psychology; Nursing; Men who have sex with men; Statistics; Population; Geography; Health services","score_opus":0.2359492079539932,"score_gpt":0.2859566595886095,"score_spread":0.050007451634616285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111159997","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000003479653,0.99194205,0.0012829269,0.00008068182,0.0001246259,0.0049670567,0.00029040524,0.00007765032,0.0012311197],"genre_scores_gemma":[0.00005652511,0.99516255,0.00055562874,0.00006692718,0.000026305148,0.0036696803,0.00031083974,0.0000356899,0.00011586116],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99756885,0.000036213052,0.0016852743,0.00049523724,0.000031104464,0.00018334873],"domain_scores_gemma":[0.99760365,0.00010050631,0.0019314772,0.00032486056,0.000007824596,0.000031695185],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003906051,0.00027056417,0.0022467673,0.00010391552,0.000061404775,0.000031666958,0.00026433312,0.0001623795,0.00008204973],"category_scores_gemma":[0.00043087042,0.0002524357,0.0005118302,0.00011766146,0.000020544418,0.00009040626,0.00009357619,0.00012919206,0.0012751849],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.0622547e-7,0.000024371011,0.000009007235,0.7614579,0.000108769564,1.7871803e-7,0.00003724519,6.0406177e-7,2.1363442e-9,0.0016444447,0.00055743975,0.2361597],"study_design_scores_gemma":[0.00008830221,0.00013007276,5.3710977e-7,0.3466992,0.0005172471,0.0000030270262,0.00007385774,0.0001085017,2.117092e-7,0.0054546734,0.64656997,0.00035437458],"about_ca_topic_score_codex":0.0000021924668,"about_ca_topic_score_gemma":5.207898e-7,"teacher_disagreement_score":0.64601254,"about_ca_system_score_codex":0.0002981363,"about_ca_system_score_gemma":0.00002182042,"threshold_uncertainty_score":0.9999928},"labels":[],"label_agreement":null},{"id":"W3111612872","doi":"10.5121/ijsea.2020.11601","title":"Stated Preference Data &amp; Alogit","year":2020,"lang":"en","type":"article","venue":"International Journal of Software Engineering & Applications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Respondent; Preference; Ranking (information retrieval); Set (abstract data type); Computer science; Software; Revealed preference; Logit; Data set; Mixed logit; Process (computing); Survey data collection; Data mining; Maximization; Operations research; Econometrics; Logistic regression; Statistics; Engineering; Information retrieval; Machine learning; Economics; Mathematics; Artificial intelligence; Mathematical optimization","score_opus":0.22969890678753263,"score_gpt":0.251511479294313,"score_spread":0.02181257250678037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111612872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04250185,0.0005112318,0.95420736,0.0017456148,0.00024835524,0.000104719125,0.00044771383,0.000039861763,0.00019331997],"genre_scores_gemma":[0.94995785,0.00022236918,0.048691392,0.0003132002,0.00047040972,0.000014378644,0.00024981808,0.000018726112,0.00006183076],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991544,0.0000028358704,0.0005224183,0.00017629712,0.00005989463,0.000084186155],"domain_scores_gemma":[0.99926865,0.000054936394,0.00034145164,0.00020135008,0.000047797712,0.00008580085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018131717,0.00007855705,0.00014721286,0.00008273033,0.000021209928,0.00004572046,0.00076130056,0.00003615931,0.000311856],"category_scores_gemma":[0.00023584843,0.000093890674,0.000045362845,0.000074436095,0.000016264708,0.00036604813,0.00012418341,0.00013578606,0.00048243985],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009329199,0.0005833257,0.5939983,0.00010669842,0.0016996749,0.000016552043,0.0019728593,0.24335639,0.0015205083,0.094325185,0.036224667,0.026102552],"study_design_scores_gemma":[0.0008785993,0.000054760545,0.16807228,0.000030553605,0.00002252183,0.000036623664,0.000033514814,0.013570492,0.00011336795,0.0038859232,0.81295043,0.00035091385],"about_ca_topic_score_codex":0.000009724881,"about_ca_topic_score_gemma":7.817666e-7,"teacher_disagreement_score":0.90745604,"about_ca_system_score_codex":0.00009264487,"about_ca_system_score_gemma":0.000016291373,"threshold_uncertainty_score":0.6200949},"labels":[],"label_agreement":null},{"id":"W3112855783","doi":"10.1111/csp2.335","title":"Harnessing visitors' enthusiasm for national parks to fund cooperative large‐landscape conservation","year":2020,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Buffalo Bill Center of the West; National Geographic Society; William and Flora Hewlett Foundation","keywords":"Spillover effect; Visitor pattern; Wildlife; Business; National park; Enthusiasm; Corporate governance; Legislature; Bird conservation; Environmental planning; Wildlife conservation; Environmental resource management; Natural resource economics; Geography; Economics; Finance; Ecology","score_opus":0.2386963738188037,"score_gpt":0.32631001822480554,"score_spread":0.08761364440600183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112855783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69836944,0.00037188278,0.10964731,0.16429624,0.0005159691,0.0010026087,0.00019288265,0.000048916714,0.02555477],"genre_scores_gemma":[0.94466674,0.000031555526,0.0046595754,0.050192457,0.00013889167,0.000059489714,0.000036443824,0.000008708981,0.00020612891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988364,0.00002871435,0.00038243402,0.00045196663,0.00011189281,0.00018862181],"domain_scores_gemma":[0.99865216,0.00053545664,0.00029752648,0.00008888838,0.0002848766,0.00014108157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027980313,0.00009934324,0.0001586026,0.00010856571,0.00054940156,0.00029724068,0.00012894771,0.000048600567,0.00022366161],"category_scores_gemma":[0.0051560057,0.000116679876,0.000022290853,0.0004316509,0.00010997384,0.0022929434,0.000059137936,0.00006954581,0.00019252796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005614339,0.0002246179,0.31091693,0.00008921888,0.00008183074,0.0000015669874,0.017017277,0.00089535175,0.007406095,0.55888164,0.10153361,0.002390402],"study_design_scores_gemma":[0.0010995965,0.00018490324,0.18929642,0.00001171541,0.000012126236,0.000006163771,0.0020184964,0.09025101,0.00049404224,0.0017420356,0.71456933,0.00031417713],"about_ca_topic_score_codex":0.000030239667,"about_ca_topic_score_gemma":0.000011638509,"teacher_disagreement_score":0.6130357,"about_ca_system_score_codex":0.00010380566,"about_ca_system_score_gemma":0.00013982231,"threshold_uncertainty_score":0.6172593},"labels":[],"label_agreement":null},{"id":"W3113800400","doi":"10.1108/maem-10-2019-0009","title":"Modelling fishing location choice and spatial behaviour of fishers near a marine protected area","year":2020,"lang":"en","type":"article","venue":"Marine Economics and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Cape Town; International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Fishing; Marine protected area; Fishery; Relocation; Fisheries management; Geography; Environmental science; Ecology; Computer science","score_opus":0.05748617344870645,"score_gpt":0.1811479863651191,"score_spread":0.12366181291641266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113800400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794893,0.000066849425,0.011583415,0.0012457335,0.00006526035,0.0004729498,0.000020923595,0.000016611371,0.0070389058],"genre_scores_gemma":[0.99376816,0.0016295974,0.003993347,0.00025195075,0.00003952177,0.000041307932,0.00006496527,0.000020580494,0.00019059762],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898523,0.0000058917294,0.00046701447,0.00038577194,0.000014312898,0.0001417998],"domain_scores_gemma":[0.9994898,0.00001234427,0.00026971908,0.0001409639,0.00000626158,0.00008093593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018600785,0.00013438208,0.00026229653,0.00006100407,0.00007157249,0.00008890154,0.0000882943,0.000048582093,0.00019219304],"category_scores_gemma":[0.000008971931,0.00017832046,0.000033925542,0.00004739434,0.00004532474,0.00021281136,0.00037041729,0.00006998596,0.000016569173],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042018,0.00008495465,0.82706505,0.00030273612,0.00016619208,0.0000012654347,0.0004718244,0.11567247,0.0000024234969,0.020052817,0.00016635639,0.035971884],"study_design_scores_gemma":[0.000740451,0.000072592346,0.30132434,0.0000067779956,0.00002053534,6.355559e-7,0.0000696485,0.69023174,0.000008391284,0.0023189546,0.0050223153,0.0001835952],"about_ca_topic_score_codex":0.0033328314,"about_ca_topic_score_gemma":0.00017353652,"teacher_disagreement_score":0.5745593,"about_ca_system_score_codex":0.00006510965,"about_ca_system_score_gemma":0.000003987592,"threshold_uncertainty_score":0.72716975},"labels":[],"label_agreement":null},{"id":"W3121288588","doi":"10.1093/ej/ueab072","title":"Valuing Life as an Asset, as a Statistic and at Gunpoint","year":2021,"lang":"en","type":"preprint","venue":"The Economic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Willingness to pay; Statistic; Asset (computer security); Econometrics; Economics; Human capital; Human life; Value (mathematics); Value of life; Structural estimation; Actuarial science; Mathematics; Statistics; Microeconomics; Computer science","score_opus":0.09612289973493932,"score_gpt":0.24927487462016887,"score_spread":0.15315197488522955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121288588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808009,0.004347453,0.00081067765,0.0016613667,0.0018239471,0.00025224622,0.00015831341,0.000018998442,0.010126044],"genre_scores_gemma":[0.99075776,0.0044762352,0.0008263089,0.0012565819,0.0007935745,0.000027548464,0.00010434069,0.0000717402,0.0016859137],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974883,0.00011280645,0.0012450926,0.00071356166,0.000043113207,0.00039711915],"domain_scores_gemma":[0.99746543,0.00012512591,0.0013267634,0.0006301716,0.0000116932915,0.00044079547],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022134474,0.0003542737,0.00072868436,0.00015520991,0.00045785354,0.0007365941,0.0004887222,0.00023897995,0.008062651],"category_scores_gemma":[0.00020012495,0.00036837917,0.0002158337,0.000020295483,0.00014678732,0.0004160706,0.0008225591,0.000872319,0.002722395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045014726,0.0005433719,0.40497956,0.0004379669,0.0047774296,0.00023983899,0.027575098,0.1663863,0.00016935522,0.35250768,0.026244717,0.015688518],"study_design_scores_gemma":[0.0025109476,0.00038398692,0.25375247,0.00017690685,0.00020571736,0.0018263635,0.0032170133,0.06309687,0.00007012713,0.6607138,0.012217469,0.0018283059],"about_ca_topic_score_codex":0.0008363353,"about_ca_topic_score_gemma":0.0001351835,"teacher_disagreement_score":0.3082061,"about_ca_system_score_codex":0.0017447595,"about_ca_system_score_gemma":0.0003543994,"threshold_uncertainty_score":0.9998768},"labels":[],"label_agreement":null},{"id":"W3121333469","doi":"","title":"Estimating crowding costs in public transport","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Contingent valuation; Public transport; Externality; Crowding; Willingness to pay; Crowding out; Economics; Valuation (finance); Microeconomics; Traffic congestion; Welfare; Public economics; Public good; Business; Transport engineering; Monetary economics; Finance; Engineering","score_opus":0.13989519772813744,"score_gpt":0.293952374674948,"score_spread":0.15405717694681056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121333469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8425401,0.00030499196,0.000055027325,0.0004457895,0.00066806044,0.0008767178,0.000101985264,0.00003220518,0.15497516],"genre_scores_gemma":[0.99205035,0.0026403123,0.0029696277,0.00009823785,0.00020784851,0.000559271,0.00019995932,0.000102261794,0.0011721062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954864,0.00009521346,0.0018272278,0.001429952,0.000079367026,0.0010818847],"domain_scores_gemma":[0.99804354,0.00023404243,0.00054485194,0.00093190995,0.00002269962,0.00022295948],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038418025,0.000401222,0.0009545649,0.001237223,0.00013956464,0.00023101075,0.0008060727,0.000624899,0.0011132525],"category_scores_gemma":[0.000317034,0.0005647837,0.00021420071,0.00017141012,0.00024172441,0.0004896957,0.00058543106,0.001796025,0.00047649947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013434759,0.0002285736,0.886085,0.00015751102,0.0000661637,0.000015089925,0.00058668427,0.044220943,0.000010559198,0.013508456,0.000041817533,0.05506578],"study_design_scores_gemma":[0.0014944822,0.00007087421,0.66282094,0.00032317452,0.0000043428245,0.000007207497,0.00054842106,0.28847292,0.000020399211,0.0391426,0.0059093735,0.0011852875],"about_ca_topic_score_codex":0.0010668873,"about_ca_topic_score_gemma":0.0006543971,"teacher_disagreement_score":0.24425198,"about_ca_system_score_codex":0.004240184,"about_ca_system_score_gemma":0.00016396429,"threshold_uncertainty_score":0.99979985},"labels":[],"label_agreement":null},{"id":"W3121437910","doi":"10.2139/ssrn.2380415","title":"Household Decision-Making and Valuation of Environmental Health Risks to Parents and Their Children","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Valuation (finance); Environmental health; Actuarial science; Business; Psychology; Medicine; Finance","score_opus":0.05147893031901395,"score_gpt":0.2323052497475903,"score_spread":0.18082631942857633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121437910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842809,0.0051684724,0.009932345,0.0002315837,0.000051241685,0.00023962067,0.000037190275,0.000004354695,0.00005430013],"genre_scores_gemma":[0.9924051,0.0069857836,0.00035910172,0.00015879383,0.00004293005,0.000007214491,0.000005063368,0.000016109772,0.000019866156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987286,0.000020617346,0.00045098714,0.00021456044,0.00003417902,0.0005510909],"domain_scores_gemma":[0.99944365,0.000033132772,0.00033456515,0.00010546211,0.0000023002628,0.00008088215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011304221,0.00010875135,0.00022425942,0.00012320028,0.00013084729,0.000037918275,0.00008687148,0.000042328746,0.00007608299],"category_scores_gemma":[0.000020745343,0.000108622444,0.000039611346,0.00003568527,0.000032979384,0.00024627778,0.00005481229,0.00026001292,0.00005122667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070629862,0.00003983947,0.8697341,0.0000018356678,0.000052525913,1.785604e-8,0.0003928645,0.00021156235,0.000030571988,0.005674669,0.00001518263,0.12383977],"study_design_scores_gemma":[0.00032912032,0.00018274123,0.8059163,0.000012901293,0.0000026654961,0.000029171231,0.0004943472,0.00040346113,0.0000074313757,0.19251435,0.00001810155,0.000089374524],"about_ca_topic_score_codex":0.0002236601,"about_ca_topic_score_gemma":0.000048420025,"teacher_disagreement_score":0.18683968,"about_ca_system_score_codex":0.00050011487,"about_ca_system_score_gemma":0.000041527772,"threshold_uncertainty_score":0.44294947},"labels":[],"label_agreement":null},{"id":"W3121567194","doi":"","title":"Species Preservation and Biodiversity Value: A Real Options Approach","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Biodiversity; Flexibility (engineering); Value (mathematics); Biodiversity conservation; Option value; Natural resource economics; Diversity (politics); Economics; Global biodiversity; Environmental resource management; Business; Microeconomics; Ecology; Mathematics; Biology; Statistics; Incentive","score_opus":0.19357425241424128,"score_gpt":0.26504324345060654,"score_spread":0.07146899103636525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121567194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7412111,0.00076785934,0.000034851222,0.0004500743,0.0002533943,0.0007564152,0.00055597216,0.000035740122,0.25593457],"genre_scores_gemma":[0.8620407,0.122300774,0.003239242,0.00009328324,0.00024294904,0.00024205049,0.00053320994,0.000055526598,0.011252248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724305,0.00010326187,0.00083291123,0.001193741,0.00007232623,0.0005547332],"domain_scores_gemma":[0.99853265,0.00013639044,0.00038073823,0.00077071076,0.00001826457,0.00016126917],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018623909,0.00029789397,0.0006156743,0.0006217227,0.00026153497,0.0002142226,0.00047394593,0.0004876477,0.00046917933],"category_scores_gemma":[0.00012841096,0.00040868355,0.00015326292,0.000106215404,0.00039526162,0.00037982655,0.0011485463,0.0009540094,0.00014882091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047502905,0.0005513645,0.87558794,0.00032966855,0.0002228594,0.0000059155464,0.0021129036,0.03319972,0.000014902919,0.07946248,0.0007356736,0.0077290507],"study_design_scores_gemma":[0.0010608643,0.00008967867,0.84500843,0.000048236812,0.00001218397,0.000005554352,0.00091492257,0.10580957,0.000009878006,0.02755017,0.018706052,0.0007844732],"about_ca_topic_score_codex":0.0006970161,"about_ca_topic_score_gemma":0.000073435265,"teacher_disagreement_score":0.24468233,"about_ca_system_score_codex":0.0013524144,"about_ca_system_score_gemma":0.00004366081,"threshold_uncertainty_score":0.9998365},"labels":[],"label_agreement":null},{"id":"W3121637533","doi":"10.71889/5fylantbak.30802307","title":"Willingness To Pay For Downtown Public Goods Generated By Large, Sports-Anchored Development Projects: The CVM Approach","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Downtown; Redevelopment; Willingness to pay; Contingent valuation; Entertainment; Valuation (finance); Public good; Business; Public economics; Economic growth; Political science; Economics; Geography; Finance","score_opus":0.1497645283898754,"score_gpt":0.2916585271948141,"score_spread":0.14189399880493872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121637533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8968358,0.0021321562,0.004203222,0.0022510078,0.0019638767,0.008530128,0.0016668859,0.00010942312,0.08230748],"genre_scores_gemma":[0.9790974,0.0029070545,0.0059296847,0.00038056096,0.00048394199,0.0044583823,0.0016731464,0.00016048452,0.00490931],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99477065,0.00011954353,0.0017429035,0.0016461461,0.00013899471,0.0015817793],"domain_scores_gemma":[0.9974751,0.00018610418,0.00066323613,0.0012604357,0.000058400932,0.00035674314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0077302554,0.0005433948,0.0009535616,0.00046310603,0.0004930846,0.0003822015,0.0011665241,0.0006305728,0.0003462547],"category_scores_gemma":[0.00028624258,0.0004971994,0.00024152172,0.0002335372,0.00014097152,0.00029274734,0.0010817044,0.0011432994,0.00009425629],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024206929,0.0023524496,0.72266567,0.0007512945,0.0009390358,0.000002821212,0.007815064,0.01598644,0.000092647715,0.022841241,0.004755999,0.2215553],"study_design_scores_gemma":[0.002030102,0.00009909833,0.17944743,0.00008756776,0.000020494756,0.000005296634,0.0015893565,0.02900275,0.00026795408,0.0027613568,0.78282917,0.0018594514],"about_ca_topic_score_codex":0.00009438627,"about_ca_topic_score_gemma":0.00010676828,"teacher_disagreement_score":0.77807313,"about_ca_system_score_codex":0.0026137934,"about_ca_system_score_gemma":0.00037742572,"threshold_uncertainty_score":0.999748},"labels":[],"label_agreement":null},{"id":"W3121673874","doi":"","title":"Parametric Recoverability of Preferences","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ranking (information retrieval); Preference; Parametric statistics; Revealed preference; Selection (genetic algorithm); Econometrics; Computer science; Mathematics; Economics; Mathematical economics; Mathematical optimization; Statistics; Machine learning","score_opus":0.16416763300009213,"score_gpt":0.3016539777754209,"score_spread":0.13748634477532878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121673874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80393904,0.0005357962,0.000028801205,0.00018303066,0.00053808576,0.00061271887,0.00049442257,0.000016721566,0.19365138],"genre_scores_gemma":[0.9850609,0.012488693,0.00047488403,0.000026113903,0.000123221,0.00020237482,0.000059578182,0.000048333146,0.0015159121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99615616,0.00014537045,0.0017205136,0.0012634485,0.00008172433,0.00063277833],"domain_scores_gemma":[0.9970851,0.00061822584,0.00086964195,0.0012484773,0.000036024816,0.00014253569],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037963465,0.00031446625,0.0010196845,0.0009371805,0.000075304066,0.00006507293,0.00080018473,0.00056703744,0.0011308922],"category_scores_gemma":[0.0007545033,0.0003479214,0.0002867295,0.00015765485,0.0004385236,0.00020653513,0.0008885147,0.00086106436,0.00020642801],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006413949,0.0003224449,0.8895297,0.00024176795,0.00013610038,0.0000015907284,0.00021544297,0.002975634,0.000017144264,0.011117914,0.00006347613,0.09531462],"study_design_scores_gemma":[0.00094504503,0.00018874767,0.61275375,0.00019881935,0.000006550602,0.0000017054242,0.00016300761,0.0033579306,0.00023540959,0.37455475,0.0068990015,0.00069526484],"about_ca_topic_score_codex":0.00021638184,"about_ca_topic_score_gemma":0.00008324607,"teacher_disagreement_score":0.36343685,"about_ca_system_score_codex":0.0015319659,"about_ca_system_score_gemma":0.00016155351,"threshold_uncertainty_score":0.9998973},"labels":[],"label_agreement":null},{"id":"W3121680509","doi":"10.1111/iere.12004","title":"LAND USE REGULATION AS A BARRIER TO ENTRY: EVIDENCE FROM THE TEXAS LODGING INDUSTRY*","year":2013,"lang":"en","type":"article","venue":"International Economic Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microdata (statistics); Barriers to entry; Market power; Business; Industrial organization; Economics; Natural resource economics; Microeconomics; Market structure","score_opus":0.119183339119384,"score_gpt":0.267840867378454,"score_spread":0.14865752825906997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121680509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94961095,0.01133695,0.00045752552,0.024533538,0.0010287245,0.0009630978,0.00017889602,0.000025735402,0.0118646],"genre_scores_gemma":[0.9655569,0.015818533,0.00047337395,0.010835985,0.00045975106,0.00016830093,0.000098524,0.000027320393,0.0065612914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861,0.00002937194,0.00073247065,0.0004245163,0.00004022111,0.00016339123],"domain_scores_gemma":[0.9989066,0.00022097732,0.0003760484,0.00038139668,0.00001604791,0.00009889397],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005153615,0.00015091275,0.0002829667,0.000057557852,0.00006372245,0.00023288079,0.00042653354,0.00008970138,0.02992586],"category_scores_gemma":[0.0003560809,0.00014182006,0.000112623784,0.00004195805,0.00003369221,0.0011125675,0.00012868295,0.00016576619,0.040666256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005412846,0.000015459396,0.93872315,0.000018947469,0.00009904907,4.2092702e-7,0.000104402345,0.0010459324,0.000012124198,0.009871334,0.043616015,0.0064877397],"study_design_scores_gemma":[0.00018863402,0.000016622826,0.735145,0.00065196696,0.000012685187,0.000004507329,0.000012242959,0.0027305754,0.000023930701,0.008225795,0.2527599,0.00022813238],"about_ca_topic_score_codex":0.0043637217,"about_ca_topic_score_gemma":0.00007495642,"teacher_disagreement_score":0.2091439,"about_ca_system_score_codex":0.00048253144,"about_ca_system_score_gemma":0.000022452114,"threshold_uncertainty_score":0.9709609},"labels":[],"label_agreement":null},{"id":"W3122001280","doi":"","title":"Using Contingent Valuation With Respondent Uncertainty To Estimate The Costs Of Climate Change Programs: An Application To Canadian Landowners","year":2003,"lang":"en","type":"article","venue":"2003 Annual meeting, July 27-30, Montreal, Canada","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Certainty; Respondent; Contingent valuation; Bivariate analysis; Valuation (finance); Econometrics; Preference; Willingness to pay; Economics; Climate change; Actuarial science; Limiting; Willingness to accept; Statistics; Microeconomics; Mathematics; Engineering; Political science; Accounting","score_opus":0.04802793120196664,"score_gpt":0.25345315582631317,"score_spread":0.20542522462434654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122001280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879415,0.00026253756,0.0008571079,0.0006407373,0.0002751758,0.0022183834,0.00070373935,0.000020628007,0.0070802085],"genre_scores_gemma":[0.9971493,0.0000362958,0.0011993058,0.0010201546,0.000057205612,0.00025898794,0.00011672836,0.000038477436,0.00012356415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818254,0.000083596125,0.0005743493,0.0004870958,0.00012939713,0.0005430145],"domain_scores_gemma":[0.998645,0.000026434192,0.00042161776,0.000393135,0.00012234545,0.0003914462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011912506,0.00022341493,0.0003241677,0.00014402875,0.0002463173,0.000058530302,0.0001993777,0.000070179376,0.000057696605],"category_scores_gemma":[0.00015167231,0.00020636863,0.000029816065,0.00032571857,0.00003716469,0.00016603882,0.000024545194,0.00009087464,0.000059532304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002842788,0.00030348875,0.6528167,0.00008692973,0.00021856191,0.000017788334,0.010305479,0.25719458,0.0000787517,0.028072543,0.006510804,0.04411007],"study_design_scores_gemma":[0.004434151,0.0017439083,0.5613818,0.00044990834,0.00023613642,0.000028969353,0.010558187,0.09700449,0.0004968517,0.0013673428,0.31957164,0.0027265812],"about_ca_topic_score_codex":0.97752047,"about_ca_topic_score_gemma":0.9890298,"teacher_disagreement_score":0.31306082,"about_ca_system_score_codex":0.0018112794,"about_ca_system_score_gemma":0.000350359,"threshold_uncertainty_score":0.84154683},"labels":[],"label_agreement":null},{"id":"W3122021199","doi":"","title":"Willingness-to-Pay for Information: Experimental Evidence on Product Traceability from the U.S.A., Canada, the U.K., and Japan","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traceability; Product (mathematics); Business; Willingness to pay; Common value auction; Marketing; Inefficiency; Industrial organization; Environmental economics; Commerce; Computer science; Economics; Microeconomics","score_opus":0.11435702055324909,"score_gpt":0.2902036450907418,"score_spread":0.17584662453749272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122021199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98239475,0.0011462849,0.0000147658175,0.006637222,0.00085427443,0.002537572,0.0006707881,0.000012053371,0.0057322797],"genre_scores_gemma":[0.99501806,0.0018757409,0.00028083983,0.0011293559,0.00021911981,0.0009605635,0.00008259408,0.000031045667,0.00040267702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974914,0.000120119854,0.0009577272,0.0008521642,0.000093584524,0.0004849868],"domain_scores_gemma":[0.99718463,0.0011600977,0.0003564806,0.0011424324,0.000028576818,0.00012775193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033561965,0.00028427885,0.00045434796,0.00009015691,0.00039024145,0.00025779445,0.0006964863,0.00016099842,0.00012503346],"category_scores_gemma":[0.00095077336,0.00022250033,0.00010585683,0.00007191972,0.00022054177,0.0002841472,0.00040325278,0.0007900532,0.00003193986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042470937,0.00029884942,0.85891145,0.00019913488,0.00028244095,0.0000011343918,0.007178974,0.03828958,0.000024052004,0.011285797,0.004736971,0.07836693],"study_design_scores_gemma":[0.0007212062,0.00018404532,0.86600685,0.00015666267,0.000009394258,0.0000021642886,0.002549913,0.007500511,0.00027569695,0.006594314,0.115323566,0.00067568896],"about_ca_topic_score_codex":0.037995636,"about_ca_topic_score_gemma":0.03390267,"teacher_disagreement_score":0.1105866,"about_ca_system_score_codex":0.0019457318,"about_ca_system_score_gemma":0.00036363702,"threshold_uncertainty_score":0.9837261},"labels":[],"label_agreement":null},{"id":"W3122033895","doi":"10.29173/jaed334","title":"Institutional Change On First Nations: Examining Factors Influencing First Nations’ Adoption of the Framework Agreement on First Nation Land Management","year":2013,"lang":"en","type":"article","venue":"Journal of Aboriginal Economic Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Australian Government","keywords":"Probit model; Government (linguistics); Autonomy; Ordered probit; Variable (mathematics); Economics; Probit; First nation; Public economics; Economic growth; Political science; Geography; Law; Econometrics; Mathematics","score_opus":0.09182217511443734,"score_gpt":0.2332291115515473,"score_spread":0.14140693643710994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122033895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98861015,0.00012451355,0.0006752372,0.00092745374,0.0014125103,0.00051465567,0.000026242396,0.00000716038,0.0077020866],"genre_scores_gemma":[0.9958726,0.0009030789,0.0026418003,0.00013938628,0.00019308472,0.00006904497,0.000020256959,0.000015762527,0.00014497786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814975,0.00001499205,0.0012276558,0.0002651326,0.00013891314,0.00020353906],"domain_scores_gemma":[0.9980522,0.00022642051,0.0014014579,0.00019930556,0.0000442061,0.00007644779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005967136,0.0002105569,0.0003118362,0.00066737185,0.00074374815,0.00007683958,0.0003012531,0.00009892365,0.0006225321],"category_scores_gemma":[0.000074625255,0.00019264288,0.0001082087,0.00016532815,0.00005834234,0.0006579488,0.00004909444,0.00019535812,0.0005029508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033370045,0.00027926284,0.7995281,0.00014006936,0.0002851904,0.0000012869863,0.0032373283,0.056051012,9.866068e-7,0.13892314,0.00025499368,0.0012652692],"study_design_scores_gemma":[0.00068726717,0.0001314138,0.94407654,0.0005215459,0.000014210955,0.0000037899567,0.000367662,0.0005559684,0.00009078777,0.001030229,0.052294865,0.0002257297],"about_ca_topic_score_codex":0.00015608335,"about_ca_topic_score_gemma":0.00083317346,"teacher_disagreement_score":0.14454843,"about_ca_system_score_codex":0.0024630702,"about_ca_system_score_gemma":0.00006408099,"threshold_uncertainty_score":0.78557485},"labels":[],"label_agreement":null},{"id":"W3122094104","doi":"","title":"Market Evidence of Packer Willingness to Pay for Traceability","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traceability; Willingness to pay; Pound (networking); Price premium; Economics; Econometrics; Business; Microeconomics; Statistics; Computer science; Mathematics","score_opus":0.20889011501807225,"score_gpt":0.3255104000285171,"score_spread":0.11662028501044486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122094104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95456535,0.0006601537,0.00031291373,0.0005028381,0.0008606801,0.002695599,0.0005800519,0.00003088603,0.039791554],"genre_scores_gemma":[0.9873137,0.0052319565,0.0038727673,0.00008197767,0.00015435403,0.00086277974,0.000039194976,0.00007852767,0.002364781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960388,0.00010956859,0.0016772915,0.0014110558,0.000065794055,0.00069751206],"domain_scores_gemma":[0.99703115,0.000715512,0.0006320095,0.0013470573,0.000060704137,0.00021357066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005552061,0.00033623082,0.0010388051,0.00043546912,0.00009461109,0.000062815474,0.0008436283,0.00048251761,0.0008398163],"category_scores_gemma":[0.0011056741,0.00038470788,0.0003446628,0.000106933745,0.0002355294,0.00022813691,0.00075456547,0.0007303706,0.00007170305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081159075,0.00072187575,0.9049527,0.0016535113,0.00025755606,0.000002500876,0.0023621668,0.009908671,0.000067020745,0.009389642,0.0008230131,0.06904972],"study_design_scores_gemma":[0.0010899304,0.0005063157,0.85480726,0.0006534763,0.000018239694,0.0000020288735,0.0004701958,0.01816658,0.00043316337,0.11008911,0.012629712,0.0011339678],"about_ca_topic_score_codex":0.00026126832,"about_ca_topic_score_gemma":0.00018112804,"teacher_disagreement_score":0.10069946,"about_ca_system_score_codex":0.0012585435,"about_ca_system_score_gemma":0.00015940405,"threshold_uncertainty_score":0.99986047},"labels":[],"label_agreement":null},{"id":"W3122113869","doi":"10.22004/ag.econ.24034","title":"ASSESSING IMPACTS OF ENVIRONMENTAL CHANGE ON ABORIGINAL PEOPLE: AN ECONOMIC EXAMINATION OF SUBSISTENCE RESOURCE USE AND VALUE","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsistence agriculture; Resource (disambiguation); Value (mathematics); Environmental resource management; Geography; Construct (python library); Business; Natural resource economics; Environmental planning; Economics; Agriculture; Archaeology","score_opus":0.14464348855335435,"score_gpt":0.23789089480667075,"score_spread":0.0932474062533164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122113869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973846,0.00020295614,0.0000446122,0.00008741465,0.00003258977,0.00016991193,0.00022646261,0.0000043662194,0.0018470504],"genre_scores_gemma":[0.9982033,0.0010887024,0.00041784043,0.000018148494,0.000018517178,5.0312167e-7,0.00003370182,0.000011498876,0.00020780899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990884,0.00006493751,0.0002755886,0.000329202,0.00006135534,0.00018048381],"domain_scores_gemma":[0.9991442,0.00010374163,0.0003939324,0.00025397845,0.0000064747856,0.00009765362],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005244386,0.00011661568,0.00033005927,0.00026670223,0.0000927079,0.00002254926,0.00016966251,0.000087210574,0.0012069936],"category_scores_gemma":[0.0000100593825,0.00017052639,0.00006582567,0.00006742148,0.00022847854,0.0016692586,0.00005388153,0.00009098525,0.000087460605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038986967,0.00033892528,0.97161067,0.000088455,0.000056436198,0.0000041810563,0.0093561215,0.00025947098,0.001861615,0.0064640944,0.00003394635,0.009887095],"study_design_scores_gemma":[0.00065255957,0.0002887776,0.9804101,0.000024114039,0.000012817232,0.000002994518,0.003496285,0.0141988,0.00040915897,0.000035375757,0.00032726675,0.00014176185],"about_ca_topic_score_codex":0.0016331668,"about_ca_topic_score_gemma":0.00022589591,"teacher_disagreement_score":0.0139393285,"about_ca_system_score_codex":0.00019751173,"about_ca_system_score_gemma":0.00000808169,"threshold_uncertainty_score":0.99970603},"labels":[],"label_agreement":null},{"id":"W3122199297","doi":"10.2139/ssrn.1004777","title":"Non-Price Equilibria for Non-Marketed Goods","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Business; Monetary economics; Commerce","score_opus":0.030895927220309555,"score_gpt":0.22968592373058463,"score_spread":0.19878999651027507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122199297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78350145,0.001111771,0.19387373,0.0002930342,0.0005137046,0.0002591044,0.000014045322,0.000014482524,0.020418659],"genre_scores_gemma":[0.9938113,0.0010931722,0.000743244,0.00017224846,0.00044035134,0.0000104424735,0.00001553674,0.000038229762,0.0036754506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99725866,0.0000060573266,0.0006555558,0.0002840974,0.000035288554,0.0017603572],"domain_scores_gemma":[0.99922305,0.00006854285,0.00041406613,0.00018055474,0.000011400516,0.00010240973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00486734,0.00015489821,0.00027146775,0.00016835658,0.0001806273,0.00005067899,0.0002457991,0.00011345912,0.00021815313],"category_scores_gemma":[0.000054845634,0.00018192451,0.00018612164,0.000107669424,0.00003216867,0.00032249125,0.000034620592,0.0005607422,0.00038550148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040181525,0.00033572127,0.3207014,0.000038641134,0.00071530207,0.0000032068974,0.0005475662,0.000280869,0.0018060111,0.6463934,0.0020545034,0.026721545],"study_design_scores_gemma":[0.0036381073,0.0007908438,0.20346093,0.000017501492,0.00003213962,0.00012258782,0.00097352,0.008830735,0.0003740053,0.7636054,0.01746403,0.0006902145],"about_ca_topic_score_codex":0.00003973003,"about_ca_topic_score_gemma":0.00009534281,"teacher_disagreement_score":0.21030986,"about_ca_system_score_codex":0.0014829527,"about_ca_system_score_gemma":0.00015587492,"threshold_uncertainty_score":0.74186665},"labels":[],"label_agreement":null},{"id":"W3122249267","doi":"","title":"Risk aversion, the value of information and traffic equilibrium","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Risk aversion (psychology); Value (mathematics); Economics; Value of information; Microeconomics; Mathematical economics; Mathematics; Expected utility hypothesis; Statistics","score_opus":0.024182161427527507,"score_gpt":0.18452014162180236,"score_spread":0.16033798019427487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122249267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9535536,0.0015345333,0.018745085,0.0023235902,0.00016581596,0.00032070235,0.00022525818,0.00003440214,0.02309699],"genre_scores_gemma":[0.98799396,0.0059469817,0.0048297225,0.00006527404,0.000011538893,0.00002234487,0.00027146554,0.000015089916,0.0008436148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982184,0.0005529412,0.00070437,0.0003077914,0.000065014305,0.00015146048],"domain_scores_gemma":[0.99742293,0.00039149972,0.0011268059,0.0008765418,0.00012184319,0.000060403167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035541286,0.0001646453,0.0002874616,0.0001343,0.00018453147,0.00010064546,0.0004658702,0.00017660402,0.00011196388],"category_scores_gemma":[0.0004939384,0.0001706363,0.00012745832,0.00009916457,0.00024932186,0.0002676756,0.00059273146,0.00030990771,0.00012190368],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040725525,0.0007086655,0.2640202,0.0005263001,0.0004465813,9.422085e-7,0.06970348,0.033377394,0.00010939984,0.54464424,0.005838254,0.08058379],"study_design_scores_gemma":[0.0015825552,0.000002027694,0.51676226,0.0005251023,0.00007539863,0.0000140817865,0.0005963021,0.40332213,0.0030816677,0.0367294,0.03642892,0.00088013423],"about_ca_topic_score_codex":0.0009956678,"about_ca_topic_score_gemma":0.000058440593,"teacher_disagreement_score":0.50791484,"about_ca_system_score_codex":0.00009564523,"about_ca_system_score_gemma":0.000043535758,"threshold_uncertainty_score":0.69583464},"labels":[],"label_agreement":null},{"id":"W3122256400","doi":"10.22004/ag.econ.24124","title":"MODELING RECREATION SITE CHOICE: DO HYPOTHETICAL CHOICES REFLECT ACTUAL BEHAVIOR?","year":2000,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Recreation; Revealed preference; Aggregate (composite); Preference; Aggregate data; Sample (material); Econometrics; Statistics; Computer science; Mathematics; Ecology; Chemistry","score_opus":0.16734090815578126,"score_gpt":0.2656441966147624,"score_spread":0.09830328845898115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122256400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98049647,0.00055613334,0.0017019025,0.00027501528,0.00018306675,0.0004849902,0.000512683,0.000032733566,0.01575702],"genre_scores_gemma":[0.990231,0.003130715,0.0022622347,0.000036472233,0.000115680356,0.0000047439044,0.0004088587,0.00003875627,0.0037715668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793905,0.00007406377,0.0005193668,0.0009299062,0.00012347582,0.00041415496],"domain_scores_gemma":[0.99870676,0.000093156385,0.00033764282,0.0006463457,0.000035012938,0.00018107342],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007509964,0.00030204095,0.00068231643,0.000469912,0.00024026725,0.000077017525,0.0005589151,0.0005046594,0.0084600365],"category_scores_gemma":[0.000029982912,0.0004594879,0.00031823377,0.000126297,0.00021278621,0.0005203289,0.00043589197,0.0006230777,0.0022015835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061257376,0.0019947377,0.68930924,0.0008158937,0.0010862577,0.000104713,0.018515322,0.19218104,0.00092608074,0.014090615,0.002181669,0.07818184],"study_design_scores_gemma":[0.0038663507,0.00052559335,0.6289611,0.00031693917,0.00032875958,0.000017459019,0.002256512,0.3365314,0.00019497446,0.00693222,0.017757678,0.0023110143],"about_ca_topic_score_codex":0.0048506507,"about_ca_topic_score_gemma":0.00062362937,"teacher_disagreement_score":0.14435036,"about_ca_system_score_codex":0.00045900396,"about_ca_system_score_gemma":0.00006013848,"threshold_uncertainty_score":0.99978566},"labels":[],"label_agreement":null},{"id":"W3122289053","doi":"","title":"Stochastic Dynamic Programming in Space: An Application to British Columbia Forestry","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Forestry; Dynamic programming; Space (punctuation); Stochastic programming; Computer science; Geography; Mathematical optimization; Mathematics; Algorithm; Operating system","score_opus":0.04371277759286922,"score_gpt":0.2829160620645833,"score_spread":0.23920328447171407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122289053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873998,0.00026707927,0.00059705146,0.00023537126,0.00024973406,0.002215925,0.00023270588,0.00004316129,0.008759138],"genre_scores_gemma":[0.99113864,0.0013513983,0.0032698,0.00008212781,0.00017634324,0.0015912412,0.0003752237,0.00011038968,0.0019048593],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9959815,0.00007319576,0.0012998764,0.0016494198,0.00007965297,0.00091632566],"domain_scores_gemma":[0.99817646,0.00010199059,0.00039017506,0.0010217954,0.000021302381,0.00028826733],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023689086,0.0002719281,0.0007360067,0.0005392819,0.00014837693,0.00062536454,0.00073329976,0.0005645064,0.00028971565],"category_scores_gemma":[0.00017886874,0.0005665514,0.00013466837,0.00018822933,0.00016583886,0.0003031804,0.00070779107,0.0012317987,0.00019862087],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025661338,0.00045073434,0.30374214,0.000097905686,0.000037055906,0.000008379002,0.00045183764,0.2962765,0.000006707516,0.0006175609,0.00003328551,0.39825222],"study_design_scores_gemma":[0.00093823846,0.00014813608,0.76264757,0.00018563331,0.000004516619,0.00001099704,0.00054771197,0.21429297,0.0000013057411,0.014355806,0.005985948,0.0008811447],"about_ca_topic_score_codex":0.011369514,"about_ca_topic_score_gemma":0.11389067,"teacher_disagreement_score":0.45890543,"about_ca_system_score_codex":0.0038052527,"about_ca_system_score_gemma":0.00013766605,"threshold_uncertainty_score":0.9996786},"labels":[],"label_agreement":null},{"id":"W3122292052","doi":"10.4337/9781781953433.00013","title":"Appropriate discounting for benefit–cost analysis","year":2013,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Discounting; Economics; Finance","score_opus":0.08201795861134588,"score_gpt":0.21034651886562114,"score_spread":0.12832856025427525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122292052","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017815515,0.0005731384,0.009649082,0.00038221086,0.00098401,0.0010937859,0.0008218448,0.00010163449,0.98461276],"genre_scores_gemma":[0.05096232,0.000075951146,0.0033749435,0.0005490376,0.001134173,0.0003184031,0.0015067119,0.00021806397,0.9418604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714386,0.0000055937635,0.0012098493,0.0010390487,0.00009420504,0.0005074403],"domain_scores_gemma":[0.99762475,0.00009999037,0.0013416801,0.00072335073,0.00004914253,0.00016109164],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011653422,0.0004794192,0.0010426405,0.00069353945,0.0002518331,0.0016403033,0.0005932251,0.0006133906,0.00243631],"category_scores_gemma":[0.00010932486,0.00057569734,0.0007711291,0.00004092871,0.00008795227,0.0011017885,0.00021779805,0.0004776297,0.0015866333],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008374384,0.000015666665,0.0029593108,0.000068734866,0.0014899173,7.538676e-7,0.0002922675,0.00036392105,0.0000017861175,0.9685357,0.008619608,0.017643966],"study_design_scores_gemma":[0.00054998323,0.00003746464,0.00296926,0.000045230685,0.00036877894,0.0000011646057,0.000032179774,0.0035950216,0.000008422086,0.34705925,0.64438486,0.0009484132],"about_ca_topic_score_codex":0.00031269118,"about_ca_topic_score_gemma":0.00011348666,"teacher_disagreement_score":0.63576525,"about_ca_system_score_codex":0.00048320278,"about_ca_system_score_gemma":0.00002677625,"threshold_uncertainty_score":0.99966943},"labels":[],"label_agreement":null},{"id":"W3122307015","doi":"","title":"Eliciting Individual-Specific Discount Rates","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hyperbolic discounting; Economics; Discounting; Econometrics; Heteroscedasticity; Sample (material)","score_opus":0.15816121521622598,"score_gpt":0.30391238292005823,"score_spread":0.14575116770383226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122307015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.780742,0.002260386,0.000027538434,0.00032632827,0.00088762504,0.0007873248,0.0004116605,0.00003356345,0.2145236],"genre_scores_gemma":[0.9670738,0.028180782,0.0010327887,0.00021390482,0.00034117125,0.0004056788,0.00038821413,0.0001436276,0.0022200176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952507,0.0001544871,0.0017351421,0.0016717656,0.000109094195,0.0010788094],"domain_scores_gemma":[0.99754006,0.00029468274,0.00070628367,0.001219452,0.000025409447,0.00021414112],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004374692,0.00049157266,0.0009926702,0.0008230521,0.00025869763,0.00041081425,0.0008812706,0.000630655,0.0014210267],"category_scores_gemma":[0.00021649542,0.0006571232,0.00029465917,0.00014908818,0.00035325377,0.00028086797,0.0010095084,0.0017859628,0.0006953653],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076855584,0.00084175315,0.7269974,0.00038640652,0.0005643535,0.000041034848,0.002490685,0.029622363,0.00007054368,0.085126504,0.0016412605,0.15214084],"study_design_scores_gemma":[0.0029216977,0.00021372047,0.5140255,0.00042035096,0.000019993526,0.000022696462,0.0026816274,0.011123456,0.0002923019,0.26151055,0.20361789,0.003150233],"about_ca_topic_score_codex":0.0001145359,"about_ca_topic_score_gemma":0.000059112863,"teacher_disagreement_score":0.2129719,"about_ca_system_score_codex":0.002138593,"about_ca_system_score_gemma":0.00012453792,"threshold_uncertainty_score":0.999588},"labels":[],"label_agreement":null},{"id":"W3122419642","doi":"","title":"The Role of Simplification and Information in College Decisions: Results from the H&R Block FAFSA Experiment","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Block (permutation group theory); Political science; Computer science; Econometrics; Mathematics; Combinatorics","score_opus":0.02238628684702332,"score_gpt":0.20626392192161244,"score_spread":0.18387763507458912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122419642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98794156,0.007975015,0.0003538362,0.0020538452,0.000046985228,0.00014420928,0.000041841133,0.0000024774338,0.0014402033],"genre_scores_gemma":[0.98691475,0.012863191,0.0000436709,0.00008911534,0.000032919703,0.0000042525767,0.0000110579485,0.0000026409514,0.000038376555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989517,0.000020047433,0.00058292726,0.000087465734,0.000033775264,0.00032411524],"domain_scores_gemma":[0.9993167,0.00013932276,0.00037470646,0.00014274011,0.000007662778,0.000018883733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015835527,0.00005921613,0.0000993407,0.000046636356,0.00015747616,0.000036704376,0.00014180518,0.00003720574,0.0000050807266],"category_scores_gemma":[0.00012540401,0.00004381585,0.00003099532,0.00006176871,0.000026928,0.00035803235,0.000015265481,0.0002550654,0.000027820975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014355242,0.000054513133,0.018735986,2.413076e-7,0.000036504276,5.2248538e-8,0.0015879516,0.0007775284,0.00012332607,0.91399586,0.000102273974,0.064442195],"study_design_scores_gemma":[0.0010440563,0.00013087786,0.24055634,0.00000801953,0.0000035435155,0.0000075495723,0.006541637,0.0030643367,0.00017252844,0.73813623,0.01025312,0.00008176979],"about_ca_topic_score_codex":0.00012694477,"about_ca_topic_score_gemma":0.00013039979,"teacher_disagreement_score":0.22182037,"about_ca_system_score_codex":0.00037865088,"about_ca_system_score_gemma":0.000059449187,"threshold_uncertainty_score":0.17867585},"labels":[],"label_agreement":null},{"id":"W3122440281","doi":"","title":"Do Water Service Provision Contracts with Neighbouring Population Centres Reduce Drinking Water Risk on Canadian Reserves","year":2014,"lang":"en","type":"article","venue":"2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Probit model; Population; Incentive; Water industry; Business; Probit; Water supply; Geography; Economics; Environmental science; Environmental health; Environmental engineering; Econometrics","score_opus":0.02191665904411233,"score_gpt":0.2031969848750114,"score_spread":0.18128032583089906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122440281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98039806,0.00026702083,0.00005577714,0.002595631,0.0008658278,0.00064669765,0.00041938352,0.0000793333,0.01467229],"genre_scores_gemma":[0.99473536,0.00026302334,0.00047096572,0.00071600865,0.00086920644,0.000049910836,0.00084689,0.000141338,0.001907285],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958181,0.000176441,0.0011545672,0.0012623919,0.00019401389,0.0013945269],"domain_scores_gemma":[0.9977036,0.00011246677,0.0006683222,0.0009214263,0.00010136715,0.00049281353],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017905129,0.0006080065,0.00073479954,0.00052425044,0.0006681186,0.00035145954,0.00056589127,0.00037480934,0.0009332701],"category_scores_gemma":[0.00014939814,0.0004935573,0.00015041704,0.00011106327,0.00009092209,0.0010917699,0.00017119104,0.0004884304,0.0073945443],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044579618,0.00039753786,0.8906896,0.00021349316,0.0002677985,0.000016977554,0.011128448,0.0117902085,0.0010508428,0.006037551,0.07496773,0.0029940146],"study_design_scores_gemma":[0.003436983,0.0006378462,0.4296342,0.00040219113,0.000110671506,0.00002503984,0.0008444467,0.004616528,0.010667519,0.0035656523,0.5439713,0.0020875991],"about_ca_topic_score_codex":0.13565448,"about_ca_topic_score_gemma":0.05647421,"teacher_disagreement_score":0.46900356,"about_ca_system_score_codex":0.0004945791,"about_ca_system_score_gemma":0.000027481736,"threshold_uncertainty_score":0.99998003},"labels":[],"label_agreement":null},{"id":"W3122466452","doi":"","title":"Does Trade Help or Hinder the Conservation of Natural Resources","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Natural resource; Convention on Biological Diversity; Incentive; Natural resource economics; Economics; Business; International trade; Treaty; Trade barrier; International economics; Environmental resource management; Biodiversity; Ecology; Microeconomics","score_opus":0.026793128635301533,"score_gpt":0.20291788982629674,"score_spread":0.1761247611909952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122466452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917792,0.00078323286,0.00035130684,0.0057317526,0.0005727687,0.00008736045,0.0000072204934,0.000006443387,0.00068073126],"genre_scores_gemma":[0.996196,0.0009912299,0.00008008838,0.00027618793,0.00022380268,0.0000036637898,0.0000033507658,0.000012015789,0.002213667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988751,0.000016161914,0.0004088296,0.00013422144,0.000036047648,0.0005296472],"domain_scores_gemma":[0.99938524,0.00004985289,0.0003882796,0.00014585804,0.000005630013,0.000025148109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014976936,0.00008532072,0.00015533771,0.000060525,0.00014960402,0.00003438806,0.00021322956,0.0000632106,0.00031279452],"category_scores_gemma":[0.00006139581,0.00004827845,0.00008379004,0.00006091464,0.00008663996,0.00020539944,0.000018558136,0.00095420703,0.00004481873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099262514,0.00008978875,0.39209223,0.0000087713515,0.00020465952,5.049909e-7,0.001168225,0.00005769317,0.0012976623,0.5957263,0.00044239356,0.00881248],"study_design_scores_gemma":[0.0010727904,0.00018328293,0.46079773,0.000007291405,0.000020044768,0.00011145824,0.0025846793,0.0013626817,0.00052650913,0.50472844,0.028361216,0.00024384324],"about_ca_topic_score_codex":0.0001090352,"about_ca_topic_score_gemma":0.0013823118,"teacher_disagreement_score":0.09099785,"about_ca_system_score_codex":0.00018282243,"about_ca_system_score_gemma":0.00009749095,"threshold_uncertainty_score":0.4145608},"labels":[],"label_agreement":null},{"id":"W3122466522","doi":"","title":"Landscape Preferences and Patterns of Residential Development","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Space (punctuation); Leapfrogging; Infill; Value (mathematics); Welfare; Economics; Development (topology); Land development; Deadweight loss; Microeconomics; Land value; Land use; Natural resource economics; Business; Environmental economics; Computer science; Economic growth; Mathematics; Civil engineering; Engineering; Market economy","score_opus":0.10625525336242654,"score_gpt":0.27566983927421684,"score_spread":0.16941458591179032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122466522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94336253,0.0007522857,0.000018004848,0.00005755625,0.0002924069,0.00040214267,0.0001230661,0.000008534593,0.054983467],"genre_scores_gemma":[0.98578364,0.011775325,0.00075475266,0.000023967694,0.00005650864,0.00012030391,0.00008971491,0.00003700178,0.0013587638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973965,0.000078527024,0.0011719627,0.00085335557,0.00006221568,0.00043739492],"domain_scores_gemma":[0.9987507,0.00012264412,0.0004903511,0.00050675,0.00001743848,0.000112114234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019467042,0.0002443836,0.00065461796,0.0005046798,0.000086723754,0.00008364805,0.00035460765,0.00034854384,0.00063627027],"category_scores_gemma":[0.000106082894,0.000310809,0.000089070236,0.00004640294,0.00014140128,0.00012008877,0.00062610564,0.0006069554,0.000040835323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002223266,0.00010945791,0.97377235,0.00022224718,0.000098811535,0.0000021887868,0.00069533364,0.0011132292,0.0000073589254,0.0028853978,0.000028289367,0.021043131],"study_design_scores_gemma":[0.0007880803,0.000069635644,0.9773275,0.00015557004,0.000005338855,0.000003233773,0.0005732196,0.0011350978,0.00022441235,0.013088725,0.0061287777,0.0005003722],"about_ca_topic_score_codex":0.00017838337,"about_ca_topic_score_gemma":0.00034601282,"teacher_disagreement_score":0.0536247,"about_ca_system_score_codex":0.00039474244,"about_ca_system_score_gemma":0.00013142561,"threshold_uncertainty_score":0.9999344},"labels":[],"label_agreement":null},{"id":"W3122468991","doi":"","title":"Consumer Preference for Eggs from Enhanced Animal Welfare Production System: A Stated Choice Analysis","year":2013,"lang":"en","type":"article","venue":"2013 Annual Meeting, August 4-6, 2013, Washington, D.C.","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preference; Willingness to pay; Animal welfare; Consumer choice; Economics; Consumer demand; Marginal utility; Cage; Living space; Welfare; Production (economics); Business; Discrete choice; Free access; Revealed preference; Microeconomics; Public economics; Econometrics; Demographic economics; Biology; Ecology; Computer science; Mathematics","score_opus":0.04172722286983772,"score_gpt":0.2366220463167306,"score_spread":0.19489482344689288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122468991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98919433,0.0010044088,0.0015306224,0.0012846347,0.00087724085,0.0014794291,0.0012380752,0.00020789403,0.0031833507],"genre_scores_gemma":[0.9905989,0.00027202448,0.0027190237,0.00010126692,0.0003894456,0.00062075304,0.00080170727,0.00008615499,0.004410697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964142,0.000079784215,0.0013710806,0.0013150657,0.00012001274,0.0006998731],"domain_scores_gemma":[0.9974603,0.00014189976,0.0012726833,0.00071192154,0.00017847044,0.00023474406],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00079661875,0.0004643339,0.0009091844,0.00038167328,0.00041127636,0.00026069718,0.00048178557,0.0003102018,0.0023954564],"category_scores_gemma":[0.00029719982,0.000520016,0.00029822573,0.00038820074,0.00012772412,0.0013302341,0.00013562418,0.0002533203,0.0027164165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003431794,0.0012509773,0.7278629,0.0007725309,0.0049346746,0.0000019197234,0.010909584,0.010457325,0.0055699055,0.0126807615,0.22060014,0.0046161055],"study_design_scores_gemma":[0.002683598,0.00048943236,0.8560199,0.00017529528,0.000778912,0.0000026826172,0.0052114157,0.025233492,0.0037517454,0.0017232156,0.10174279,0.0021874956],"about_ca_topic_score_codex":0.04570679,"about_ca_topic_score_gemma":0.0017713726,"teacher_disagreement_score":0.12815703,"about_ca_system_score_codex":0.00040328348,"about_ca_system_score_gemma":0.000025592966,"threshold_uncertainty_score":0.99972516},"labels":[],"label_agreement":null},{"id":"W3122601136","doi":"","title":"Willingness to Pay for Amateur Sport and Recreation Programs","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Willingness to pay; Recreation; Contingent valuation; League; Amateur; Estimation; Valuation (finance); Economics; Amateur sports; Household income; Business; Actuarial science; Public economics; Agricultural economics; Geography; Finance; Political science; Microeconomics","score_opus":0.10083190727745789,"score_gpt":0.29233882445057124,"score_spread":0.19150691717311336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122601136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973968,0.00023976665,0.00018169606,0.00047068557,0.00046958844,0.0023782768,0.00019524638,0.00003677695,0.022059917],"genre_scores_gemma":[0.9831372,0.0036206637,0.005627285,0.00009785681,0.000326576,0.0016202809,0.0007721037,0.00010804574,0.0046899715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969178,0.000018080367,0.0011086059,0.0012572029,0.00005053941,0.0006478144],"domain_scores_gemma":[0.99869895,0.00007843577,0.0003846137,0.0006278927,0.000030445248,0.0001796568],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024010928,0.00031158287,0.00072526274,0.0004282189,0.00015079438,0.00021989566,0.000350239,0.00042720512,0.000047522863],"category_scores_gemma":[0.00007572108,0.0003666818,0.00014825609,0.000087137145,0.00012167821,0.00016029045,0.00045780843,0.00054008514,0.00005902777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000684045,0.00016372639,0.8614594,0.00020325217,0.00005239791,0.0000020372229,0.00027364955,0.007963719,0.0000052421683,0.0058573987,0.00009648339,0.12385432],"study_design_scores_gemma":[0.0012834428,0.000281477,0.8176951,0.00020065905,0.000012263729,0.0000047006306,0.00027294425,0.026131466,0.000060652346,0.041252606,0.11177262,0.0010320889],"about_ca_topic_score_codex":0.0004794795,"about_ca_topic_score_gemma":0.00031180758,"teacher_disagreement_score":0.122822225,"about_ca_system_score_codex":0.0010677332,"about_ca_system_score_gemma":0.000069452486,"threshold_uncertainty_score":0.9998785},"labels":[],"label_agreement":null},{"id":"W3122611146","doi":"10.22004/ag.econ.98422","title":"The Impact of Agriculture on Waterfowl Abundance: Evidence from Panel Data","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Victoria","keywords":"Waterfowl; Agriculture; Geography; Pasture; Productivity; Wildlife; Abundance (ecology); Wetland; Cropping; Land use; Population; Spillover effect; Agricultural land; Habitat; Ecology; Environmental science; Economics; Biology; Forestry; Demography","score_opus":0.34230803620078587,"score_gpt":0.26885641936082866,"score_spread":0.07345161683995721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122611146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99104166,0.0016338123,0.00032450378,0.00032847744,0.00021828532,0.0003466827,0.0027520654,0.000009301382,0.003345225],"genre_scores_gemma":[0.987982,0.008834273,0.00043086894,0.000009870229,0.00006750184,9.702082e-7,0.0005025852,0.000016539267,0.002155399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830043,0.0000798535,0.00042713463,0.0007956436,0.000095174946,0.00030174223],"domain_scores_gemma":[0.99723417,0.00026129457,0.0007550361,0.0016009447,0.000041317213,0.000107264896],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010777011,0.0002458504,0.0005934678,0.0001324788,0.0002065127,0.000038683906,0.00201468,0.0002899407,0.0022666003],"category_scores_gemma":[0.00006232033,0.00022944706,0.00028046063,0.00008737465,0.00034980755,0.0004893254,0.0016414917,0.00049757666,0.0009837059],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008265667,0.0008612412,0.8963919,0.00040315936,0.0026884826,0.000037386857,0.018551623,0.009004468,0.0013550669,0.005090657,0.046654224,0.018135201],"study_design_scores_gemma":[0.00045178624,0.00020996082,0.98913395,0.00019483747,0.000038900627,9.5238886e-7,0.0010054314,0.0035630844,0.0002629699,0.0036610821,0.001147975,0.0003290814],"about_ca_topic_score_codex":0.036014285,"about_ca_topic_score_gemma":0.0009434944,"teacher_disagreement_score":0.09274202,"about_ca_system_score_codex":0.00028921315,"about_ca_system_score_gemma":0.00006835687,"threshold_uncertainty_score":0.9997941},"labels":[],"label_agreement":null},{"id":"W3122740665","doi":"","title":"Estimation and Inference in Social Experiments","year":2002,"lang":"en","type":"article","venue":"General Economics and Teaching","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Inference; Outcome (game theory); Computer science; Conjunction (astronomy); Econometrics; Sample (material); Estimation; Selection (genetic algorithm); Randomized experiment; Natural (archaeology); Selection bias; Artificial intelligence; Cognitive psychology; Statistics; Psychology; Economics; Mathematics; Microeconomics; Geography","score_opus":0.12282971180797134,"score_gpt":0.24817869528595984,"score_spread":0.1253489834779885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122740665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875533,0.0005764787,0.00048210772,0.00043408625,0.000076843295,0.000071593335,0.0000113675505,0.000007739377,0.0107864905],"genre_scores_gemma":[0.99722254,0.00052883837,0.0016355282,0.00021366459,0.0000674047,0.0000121448475,0.000009217802,0.0000101809455,0.00030047857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992926,0.0000100863135,0.000303128,0.0002520528,0.0000065632125,0.00013558395],"domain_scores_gemma":[0.999768,0.00001768965,0.000113194204,0.00006368419,6.948442e-7,0.0000367466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002681591,0.00009052954,0.0001734373,0.000087162014,0.0001390898,0.000075555945,0.000047320864,0.000055529,0.00009909466],"category_scores_gemma":[0.000015038478,0.00012038139,0.000019685416,0.000009680992,0.000031363797,0.00029714862,0.000041675703,0.00009324707,0.000057723755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002741006,0.00005241652,0.20060053,0.000008173176,0.000015154527,4.979187e-7,0.002126498,0.0024189597,0.000031766842,0.7277876,0.00007745976,0.06687818],"study_design_scores_gemma":[0.0008141388,0.00003101231,0.1424056,0.0000048338056,0.0000023315665,0.000002684472,0.000119497825,0.82189053,0.000025976493,0.030304281,0.004120976,0.0002781257],"about_ca_topic_score_codex":0.00017136113,"about_ca_topic_score_gemma":0.00001756027,"teacher_disagreement_score":0.8194716,"about_ca_system_score_codex":0.00009725662,"about_ca_system_score_gemma":0.0000012063389,"threshold_uncertainty_score":0.49090105},"labels":[],"label_agreement":null},{"id":"W3122795902","doi":"","title":"Truth in Consequentiality: Theory and Field Evidence on Discrete Choice Experiments","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Revelation; Humanities; Welfare economics; Economics; Political science; Philosophy; Theology","score_opus":0.16286637016910122,"score_gpt":0.3505883477365944,"score_spread":0.1877219775674932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122795902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95435685,0.00086345174,0.000018432427,0.0004283396,0.0007373936,0.00070470455,0.00009065355,0.000015995249,0.04278418],"genre_scores_gemma":[0.98867744,0.0093686525,0.0001882002,0.00030649046,0.00015167486,0.0003008181,0.000036859146,0.00005418197,0.00091565313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966177,0.0002523556,0.0010768548,0.0013620917,0.00007015078,0.00062089966],"domain_scores_gemma":[0.9963845,0.0020684383,0.0003800254,0.0009921573,0.00001052456,0.00016433622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004907478,0.00033837397,0.00071224425,0.000607687,0.00011178687,0.00018597653,0.00054760935,0.0006255204,0.00072486367],"category_scores_gemma":[0.0017926197,0.00042840993,0.00013032366,0.000068655056,0.00036658262,0.00025387606,0.00085946644,0.00193798,0.00009610153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005778564,0.00042390532,0.8190213,0.00030175134,0.00017250539,0.000029760558,0.0018299958,0.0025614544,0.00028566967,0.11703094,0.000065454595,0.05769944],"study_design_scores_gemma":[0.0037342561,0.0006578949,0.7026933,0.0013644565,0.00001779651,0.000012067311,0.0016666523,0.01115617,0.0026816754,0.26478744,0.008831074,0.0023972692],"about_ca_topic_score_codex":0.00061559473,"about_ca_topic_score_gemma":0.00045760273,"teacher_disagreement_score":0.14775649,"about_ca_system_score_codex":0.0009131607,"about_ca_system_score_gemma":0.000095991476,"threshold_uncertainty_score":0.9998168},"labels":[],"label_agreement":null},{"id":"W3123092666","doi":"","title":"Land Use Regulation as a Barrier to Entry: Evidence from the Texas Lodging Industry","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microdata (statistics); Barriers to entry; Business; Industrial organization; Hotel industry; Microeconomics; Economics; Market structure; Tourism","score_opus":0.1341173550556583,"score_gpt":0.3012353975593269,"score_spread":0.16711804250366857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123092666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800585,0.00031876532,0.00003037674,0.0019297363,0.0007966771,0.0010290993,0.00035697198,0.000026286729,0.015453597],"genre_scores_gemma":[0.98900706,0.0035847356,0.0007462161,0.00056973257,0.00059893396,0.0002050565,0.00014676957,0.00008116449,0.005060336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966039,0.00014929741,0.001085297,0.0013684398,0.00010946575,0.0006836012],"domain_scores_gemma":[0.99656075,0.0010867517,0.00046714587,0.0015821909,0.0000308465,0.0002723314],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0030576643,0.00035682207,0.0006023519,0.00037485335,0.00023477439,0.00055615377,0.00095388363,0.0011168933,0.0020237353],"category_scores_gemma":[0.0018431224,0.00038804006,0.00017793728,0.00013151923,0.00023378848,0.00048246744,0.0013541272,0.0032325394,0.0009354462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006128326,0.00005054211,0.96427643,0.000018271097,0.00007486816,0.000004077088,0.00072226266,0.020634249,0.000056659756,0.0010591657,0.00031354945,0.012728649],"study_design_scores_gemma":[0.00043733953,0.000051365405,0.9382753,0.00029666783,0.000009416205,0.0000031924978,0.00020535557,0.013104834,0.00013705612,0.014909498,0.031994127,0.0005758914],"about_ca_topic_score_codex":0.004018663,"about_ca_topic_score_gemma":0.0015935281,"teacher_disagreement_score":0.031680577,"about_ca_system_score_codex":0.0013730798,"about_ca_system_score_gemma":0.0001987481,"threshold_uncertainty_score":0.9998571},"labels":[],"label_agreement":null},{"id":"W3123162808","doi":"","title":"Adopt a hypothetical pup’: A count data approach to the valuation of wildlife","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Contingent valuation; Willingness to pay; Payment card; Count data; Respondent; Phone; Payment; Wildlife; Valuation (finance); Economic surplus; Survey data collection; Geography; Economics; Agricultural economics; Business; Actuarial science; Statistics; Microeconomics; Ecology; Mathematics; Welfare; Finance","score_opus":0.26944970502767146,"score_gpt":0.3109263974869408,"score_spread":0.041476692459269326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123162808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6389779,0.0013039454,0.0028024337,0.0062061907,0.00133343,0.0053720917,0.0035278704,0.00005671801,0.34041944],"genre_scores_gemma":[0.9898596,0.003701775,0.0036047287,0.0005289723,0.00026927225,0.0004029086,0.0007607185,0.000085270505,0.00078679546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99595517,0.00014324149,0.0015841644,0.0015140007,0.00016022235,0.0006432228],"domain_scores_gemma":[0.99612886,0.00025008927,0.0005727998,0.0028219623,0.000047867106,0.00017842006],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0069356384,0.00032841068,0.0008041081,0.0005119346,0.00014332187,0.00014765863,0.0020536366,0.0004219816,0.00017506277],"category_scores_gemma":[0.00083864713,0.00034648256,0.00016845297,0.00017380742,0.00036125275,0.00020847493,0.0025392976,0.0010895884,0.00030042167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025819286,0.0021758366,0.079015784,0.00063992577,0.0006160036,0.000004712608,0.004206708,0.7137466,0.000016657032,0.12945315,0.002201133,0.06766528],"study_design_scores_gemma":[0.0035518936,0.00042777372,0.24185346,0.00044002768,0.00006459003,0.000024131474,0.0021175335,0.5123429,0.000049470982,0.10706347,0.1299679,0.0020969047],"about_ca_topic_score_codex":0.00045087218,"about_ca_topic_score_gemma":0.00011665424,"teacher_disagreement_score":0.35088167,"about_ca_system_score_codex":0.0018173665,"about_ca_system_score_gemma":0.0003495361,"threshold_uncertainty_score":0.99989873},"labels":[],"label_agreement":null},{"id":"W3123234333","doi":"10.1111/poms.13336","title":"Payment for Results: Funding Non‐Profit Operations","year":2020,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Payment; Business; Social Welfare; Profit (economics); Finance; Outcome (game theory); Welfare; Microeconomics; Economics; Actuarial science","score_opus":0.14136794971508712,"score_gpt":0.24402871790455266,"score_spread":0.10266076818946554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123234333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42552614,0.0009988212,0.36181363,0.17163582,0.0018547332,0.005428481,0.00041735472,0.00018550463,0.032139536],"genre_scores_gemma":[0.9786079,0.00042011976,0.012497246,0.0014017477,0.00025235725,0.00037477497,0.0001561833,0.000014520179,0.00627516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900174,0.0000061930996,0.0004017928,0.0004431715,0.00002188296,0.00012520186],"domain_scores_gemma":[0.99972683,0.000005362218,0.000045588735,0.0001479798,0.000011616103,0.00006260519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031526352,0.00009319605,0.00012549669,0.00007172177,0.00033959953,0.00011821971,0.00006030547,0.000025244359,0.0001197851],"category_scores_gemma":[0.00007105662,0.00010807108,0.000034879136,0.00009004403,0.000024592886,0.00032458297,0.0000483666,0.000041385396,0.00024183306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086511514,0.00018460254,0.013917744,0.00020782123,0.00027289207,7.094052e-7,0.0042202314,0.21616438,0.00047095935,0.7289785,0.02768603,0.0078095975],"study_design_scores_gemma":[0.004355714,0.0005576774,0.106228866,0.00005111867,0.000117736025,0.000004279589,0.004880402,0.48776054,0.0017934853,0.0036632253,0.38938418,0.001202776],"about_ca_topic_score_codex":0.000020783993,"about_ca_topic_score_gemma":0.00002003628,"teacher_disagreement_score":0.72531533,"about_ca_system_score_codex":0.000076788485,"about_ca_system_score_gemma":0.0000032998767,"threshold_uncertainty_score":0.44070107},"labels":[],"label_agreement":null},{"id":"W3123243519","doi":"10.2139/ssrn.2805396","title":"The Cost of Endangered Species Protection: Evidence from Auctions for Natural Resources","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Endangered species; Common value auction; Business; Natural resource economics; Natural resource; Economics; Biology; Ecology; Habitat; Microeconomics","score_opus":0.07868688023942527,"score_gpt":0.22231301737464362,"score_spread":0.14362613713521835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123243519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86358976,0.01805675,0.10983766,0.0067363083,0.0008186575,0.0004744133,0.00008276188,0.00001345966,0.0003902362],"genre_scores_gemma":[0.9851493,0.00875074,0.000117886775,0.000013540502,0.0003436996,0.00004205626,0.0000014189307,0.000010440446,0.005570897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888736,0.000018636056,0.00037985988,0.00015386246,0.000030932748,0.0005293214],"domain_scores_gemma":[0.9992487,0.0001745054,0.00039523278,0.00013961864,0.000017478718,0.000024453746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011615339,0.0000754316,0.00014255705,0.000048738482,0.00030430776,0.000036286514,0.00018631137,0.000038483653,0.000098705976],"category_scores_gemma":[0.00018875457,0.0000514884,0.000114729824,0.000045386274,0.00009475972,0.000269628,0.000020653899,0.00023948278,0.00006253281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059661333,0.00012891379,0.1718946,0.000015464477,0.0009564565,3.118589e-7,0.0014842193,0.00019877328,0.009641372,0.5813167,0.0012617783,0.23250477],"study_design_scores_gemma":[0.0012716542,0.00036753356,0.1977227,0.00006904573,0.000025179897,0.00003300639,0.0014698028,0.0005171991,0.0018100169,0.73510665,0.06135092,0.0002562892],"about_ca_topic_score_codex":0.00010794213,"about_ca_topic_score_gemma":0.0005457176,"teacher_disagreement_score":0.23224849,"about_ca_system_score_codex":0.000826403,"about_ca_system_score_gemma":0.00007192142,"threshold_uncertainty_score":0.234052},"labels":[],"label_agreement":null},{"id":"W3123259148","doi":"10.1162/rest_a_00229","title":"The Value of a Statistical Life: Evidence from Panel Data","year":2011,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":198,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Econometrics; Endogeneity; Estimator; Panel data; Economics; Econometric model; Sample (material); Estimation; Wage; Value (mathematics); Statistics; Mathematics; Labour economics","score_opus":0.35264542474945104,"score_gpt":0.2804075525508539,"score_spread":0.07223787219859712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123259148","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21678162,0.63885486,0.10656066,0.0018393595,0.0007877335,0.001295252,0.028705854,0.000012068816,0.005162592],"genre_scores_gemma":[0.24222481,0.7384542,0.018789312,0.00030102304,0.000036038982,0.000010143772,0.00012501483,0.000014907415,0.000044529963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99854726,0.00004605159,0.0009942505,0.00026241675,0.000018367282,0.00013168204],"domain_scores_gemma":[0.9975081,0.0008643613,0.0007549232,0.0008009739,0.000013166699,0.000058486396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001572506,0.00011135111,0.00044344322,0.000016192458,0.00008808115,0.000016850692,0.0005550367,0.000032800875,0.00031452402],"category_scores_gemma":[0.00061087025,0.000082466744,0.00003473464,0.000028284618,0.00031889472,0.00012934074,0.00024651014,0.00007913051,0.00006605418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016178832,0.000030536292,0.011120857,0.000396539,0.000111761816,1.8941603e-7,0.00022659256,0.000015899208,7.466904e-7,0.971904,0.0020229905,0.014153721],"study_design_scores_gemma":[0.0004867874,0.00020129849,0.40582493,0.0011123877,0.00024634195,0.0000041460034,0.00022686848,0.06401948,0.000023904206,0.5025743,0.024849096,0.00043044973],"about_ca_topic_score_codex":0.00079323404,"about_ca_topic_score_gemma":0.000045114928,"teacher_disagreement_score":0.46932968,"about_ca_system_score_codex":0.000023795232,"about_ca_system_score_gemma":0.00003465099,"threshold_uncertainty_score":0.34438175},"labels":[],"label_agreement":null},{"id":"W3123393482","doi":"","title":"A Test of the Hotelling Rule Using Old-Growth Timber Data","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Stumpage; Economics; Non-renewable resource; Common value auction; Scarcity; Microeconomics; Resource (disambiguation); Econometrics; Economic rent; Natural resource economics; Agricultural economics; Computer science; Engineering","score_opus":0.0855178996401872,"score_gpt":0.2228906044641366,"score_spread":0.13737270482394942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123393482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98003954,0.0030264636,0.012067867,0.00015846395,0.00021788143,0.00008263624,0.000029717763,0.000004042261,0.0043733786],"genre_scores_gemma":[0.99650425,0.0017936206,0.0006533821,0.000085640226,0.00006790495,6.7346025e-7,0.0000038496783,0.00001743563,0.000873236],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867684,0.000022247857,0.00042015588,0.00019649707,0.00003428963,0.00064999785],"domain_scores_gemma":[0.9991859,0.000034829787,0.00039796354,0.000341155,0.000010745228,0.0000293613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019000848,0.00008852527,0.00016797529,0.000052777385,0.00014503239,0.000025592652,0.00037024182,0.00004966872,0.00017880979],"category_scores_gemma":[0.0001915724,0.000081231046,0.0000729293,0.00009528124,0.000044326498,0.00025468838,0.00005989912,0.0004819262,0.00008854211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033922295,0.00009559725,0.6743581,0.00000584534,0.00009046272,2.1672723e-7,0.000090214206,0.0015184637,0.00026023888,0.32322037,0.000057262583,0.00029977373],"study_design_scores_gemma":[0.0010919828,0.00010098593,0.046108335,0.000028390674,0.000046402976,0.00025780834,0.00066809,0.014329686,0.0009177482,0.93391484,0.0021734925,0.00036224368],"about_ca_topic_score_codex":0.000106974534,"about_ca_topic_score_gemma":0.000048875518,"teacher_disagreement_score":0.6282498,"about_ca_system_score_codex":0.00051429746,"about_ca_system_score_gemma":0.00017794529,"threshold_uncertainty_score":0.33125058},"labels":[],"label_agreement":null},{"id":"W3123520106","doi":"10.2139/ssrn.1327977","title":"A Real Option Approach to the Protection of a Habitat Dependent Endangered Species","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Endangered species; Habitat; Umbrella species; Geography; Business; Ecology; Environmental science; Environmental resource management; Biology","score_opus":0.07362030945309582,"score_gpt":0.19742720859882246,"score_spread":0.12380689914572664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123520106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91650176,0.0006037066,0.07490081,0.00045274783,0.00013050387,0.00028275847,0.000009029038,0.000008277581,0.007110391],"genre_scores_gemma":[0.99390167,0.0034489417,0.00033666342,0.000026607306,0.00016877547,0.000030883446,0.0000046392347,0.00001302026,0.002068805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99879235,0.00002512607,0.0003949846,0.0001759814,0.00005110594,0.0005604767],"domain_scores_gemma":[0.9995107,0.00000822086,0.0002891455,0.00014343487,0.000011212955,0.0000372642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012441772,0.000089274305,0.00017066383,0.00011212019,0.00019974737,0.000016626715,0.00015929416,0.00004785707,0.000029851602],"category_scores_gemma":[0.000025615396,0.000079443154,0.00009353194,0.000093266775,0.000039802697,0.0001621051,0.000026639673,0.00041066087,0.00015626884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001642636,0.0004373906,0.14210989,0.000017357203,0.00031114704,9.307112e-7,0.004638677,0.0089909155,0.0014696917,0.8352099,0.00025179982,0.0063980515],"study_design_scores_gemma":[0.0016205796,0.0009255764,0.7956769,0.000012305796,0.00002473624,0.00082447706,0.004149884,0.0037838984,0.00073241227,0.18910606,0.0026970436,0.00044617194],"about_ca_topic_score_codex":0.00023247616,"about_ca_topic_score_gemma":0.0002498999,"teacher_disagreement_score":0.65356696,"about_ca_system_score_codex":0.0010534228,"about_ca_system_score_gemma":0.00009443021,"threshold_uncertainty_score":0.32395977},"labels":[],"label_agreement":null},{"id":"W3123569828","doi":"","title":"Agri-environmental schemes: Adverse selection, information structure and delegation","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Adverse selection; Delegation; Economic rent; Allocative efficiency; Information asymmetry; Context (archaeology); Principal (computer security); Incentive; Selection (genetic algorithm); Microeconomics; Business; Pairwise comparison; Work (physics); Economics; Environmental economics; Public economics; Computer science; Engineering; Geography; Computer security","score_opus":0.034537059830423725,"score_gpt":0.2397928125893148,"score_spread":0.20525575275889107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123569828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825187,0.00029608954,0.00007537371,0.0001964015,0.0002595003,0.00073438126,0.00036166815,0.000030497742,0.01552741],"genre_scores_gemma":[0.98985267,0.0073348763,0.0013404266,0.00017944693,0.00014873878,0.000075310134,0.00069148024,0.00003381784,0.00034323268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975257,0.00006389058,0.0010961904,0.0007402979,0.00007652512,0.0004974014],"domain_scores_gemma":[0.998796,0.00006223126,0.0005428408,0.00043942407,0.000013242812,0.00014625172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010908836,0.0003235633,0.00049985654,0.0006481422,0.00019824381,0.00015572284,0.00028163102,0.0005626726,0.00047834532],"category_scores_gemma":[0.00010223261,0.0004334437,0.00010932908,0.000083789986,0.0001844151,0.0008531819,0.00037356166,0.0010624869,0.00012678214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112560745,0.0002410251,0.693869,0.00024156221,0.00021327974,0.0000030272122,0.0015690925,0.047948685,0.00014003924,0.013937159,0.00018532392,0.24153924],"study_design_scores_gemma":[0.00145179,0.00015863511,0.8746702,0.000079026344,0.00001199909,0.0000163202,0.0006373183,0.05173237,0.00016908537,0.039925743,0.030245287,0.0009021942],"about_ca_topic_score_codex":0.000080957456,"about_ca_topic_score_gemma":0.00006626544,"teacher_disagreement_score":0.24063703,"about_ca_system_score_codex":0.0018734926,"about_ca_system_score_gemma":0.0000694207,"threshold_uncertainty_score":0.9998117},"labels":[],"label_agreement":null},{"id":"W3123744724","doi":"10.3406/reae.2002.1689","title":"Willingness to pay for drinking water in the Sahara : the case of Douentza in Mali","year":2002,"lang":"fr","type":"article","venue":"Cahiers d Economie et sociologie rurales","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.164731408603939,"score_gpt":0.27680928154384865,"score_spread":0.11207787293990965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123744724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94513994,0.0057170317,0.00029615758,0.045486804,0.0011246898,0.0010214647,0.00016902546,0.000008014152,0.0010368451],"genre_scores_gemma":[0.9913662,0.0039757933,0.00031038525,0.002071797,0.00014433848,0.00032417368,0.000036577676,0.00003092699,0.0017398016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755424,0.00018151963,0.001113617,0.00051202776,0.000016835751,0.0006217425],"domain_scores_gemma":[0.99821717,0.0009519698,0.0003231874,0.00045117654,0.000008661861,0.00004784206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031663657,0.00026827358,0.0006142861,0.00014631511,0.0002150049,0.000075306714,0.00049457763,0.0003673431,0.0006793006],"category_scores_gemma":[0.00016065624,0.00019184919,0.00025522217,0.00009224982,0.00055973465,0.00037218502,0.00009223845,0.00044646082,0.0003595459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040320832,0.00026789185,0.7990752,0.0001561594,0.00013926174,0.00005574215,0.04943842,0.030981716,0.00002090674,0.10466954,0.003684793,0.011470043],"study_design_scores_gemma":[0.0050695245,0.0006695668,0.6322599,0.0002683443,0.00010542932,0.00020221964,0.06467777,0.032117866,0.0005633327,0.19798827,0.06412151,0.0019562454],"about_ca_topic_score_codex":0.0003870339,"about_ca_topic_score_gemma":0.00081495155,"teacher_disagreement_score":0.16681527,"about_ca_system_score_codex":0.0007933325,"about_ca_system_score_gemma":0.000011158512,"threshold_uncertainty_score":0.7823383},"labels":[],"label_agreement":null},{"id":"W3123773301","doi":"","title":"Non-Price Equilibria for Non-Marketed Goods","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Economics; Partial equilibrium; Counterfactual thinking; General equilibrium theory; Context (archaeology); Econometrics; Valuation (finance); Welfare; Microeconomics; Mathematical economics","score_opus":0.09992996186027606,"score_gpt":0.2980485391205197,"score_spread":0.19811857726024365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123773301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7261839,0.0002925052,0.00019452214,0.00031281053,0.0011686902,0.0020694165,0.00059823686,0.000039345876,0.2691406],"genre_scores_gemma":[0.9667172,0.020909008,0.002762539,0.00018132402,0.00057545555,0.0012529577,0.00050453475,0.00020060275,0.006896382],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994996,0.00006063953,0.001784744,0.001834037,0.00008458834,0.001239979],"domain_scores_gemma":[0.99694365,0.0005141621,0.00075761223,0.0014633654,0.00003698075,0.00028424014],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032653864,0.00053565484,0.0012420719,0.0008479761,0.00026165156,0.000172746,0.0010767998,0.00085962797,0.0004571917],"category_scores_gemma":[0.00038397207,0.0007429531,0.000498474,0.00015075818,0.0003413776,0.00029463336,0.0012152635,0.0012910721,0.00035290976],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013267433,0.002549405,0.71323854,0.0024919624,0.0020279153,0.00007750524,0.004592144,0.09211244,0.00063096866,0.013296096,0.011276546,0.15637973],"study_design_scores_gemma":[0.0053752856,0.00052310043,0.32838735,0.00033847254,0.00002455623,0.000021726322,0.00056286925,0.50714064,0.00026893057,0.042511396,0.1120039,0.0028417965],"about_ca_topic_score_codex":0.00019093859,"about_ca_topic_score_gemma":0.000058828056,"teacher_disagreement_score":0.41502815,"about_ca_system_score_codex":0.002458959,"about_ca_system_score_gemma":0.00026504436,"threshold_uncertainty_score":0.9995021},"labels":[],"label_agreement":null},{"id":"W3123820338","doi":"","title":"Public Decisions: Solidarity and the Status Quo","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Status quo; Mathematical economics; Monotonic function; Solidarity; Population; Pareto principle; Social choice theory; Preference; Function (biology); Economics; Social preferences; Set (abstract data type); Point (geometry); Microeconomics; Public good; Class (philosophy); Variable (mathematics); Welfare economics; Mathematics; Political science; Computer science; Law; Sociology; Market economy","score_opus":0.16903482643318726,"score_gpt":0.29605465684832594,"score_spread":0.12701983041513867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123820338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7762885,0.0034576037,0.000060378352,0.0019544882,0.00054350164,0.0011106858,0.00034054986,0.000029799761,0.21621451],"genre_scores_gemma":[0.9478488,0.048832946,0.00060859,0.00019036898,0.00020079213,0.00036593838,0.00016574658,0.000065441745,0.0017213572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99599457,0.00020700647,0.0013843274,0.0012197911,0.000086937136,0.0011073644],"domain_scores_gemma":[0.9970416,0.0009751059,0.0005274438,0.0011867526,0.000029237208,0.0002399032],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0050574876,0.00034659845,0.00087332964,0.00057517836,0.00034892466,0.0005011081,0.00068145624,0.0004931284,0.00028014058],"category_scores_gemma":[0.0011400116,0.00035037455,0.00022841086,0.00011091149,0.0010262261,0.00024441897,0.0016454172,0.0015431019,0.00015811493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013357116,0.0002990157,0.69839305,0.0000766669,0.00019914132,0.000007416561,0.0006459355,0.0057759713,0.0000015543454,0.13664904,0.0005725069,0.15724613],"study_design_scores_gemma":[0.0036202483,0.000056547076,0.5377698,0.00007740324,0.000010387182,0.000008126603,0.00039516223,0.04211973,0.0000043401087,0.34512892,0.07000925,0.00080010603],"about_ca_topic_score_codex":0.0015274109,"about_ca_topic_score_gemma":0.0012346109,"teacher_disagreement_score":0.21449316,"about_ca_system_score_codex":0.0016517589,"about_ca_system_score_gemma":0.00019867893,"threshold_uncertainty_score":0.9998948},"labels":[],"label_agreement":null},{"id":"W3123874946","doi":"","title":"Asset Retirement with Infinitely Repeated Alternative Replacements: Harvest Age and Species Choice in Forestry","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Asset (computer security); Productivity; Value (mathematics); Stochastic game; Economics; Microeconomics; Opportunity cost; Tree (set theory); Mathematics; Computer science; Statistics","score_opus":0.13447715648306877,"score_gpt":0.29722290224102793,"score_spread":0.16274574575795916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123874946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84009475,0.0003262821,0.00002242738,0.0005744444,0.00024421923,0.0009973767,0.0003796677,0.000021809932,0.157339],"genre_scores_gemma":[0.98051804,0.012032145,0.000643832,0.00018103598,0.00018236319,0.0004100554,0.00024428402,0.00009387979,0.005694334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995945,0.00014784007,0.0014153137,0.0015990447,0.000115519986,0.00077730004],"domain_scores_gemma":[0.99762225,0.00044337017,0.0006987704,0.0010214804,0.0000338391,0.0001803143],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026565578,0.00044065,0.0008625189,0.00083500374,0.00011414773,0.0002412598,0.0005256614,0.00039406025,0.00029748405],"category_scores_gemma":[0.0005398326,0.00046926286,0.00009548875,0.000119406934,0.00049847487,0.00043403875,0.0009903733,0.0010612434,0.00006395823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019800376,0.00021243,0.98335314,0.000117455966,0.00018738375,0.00008801869,0.000548269,0.003016813,0.000015831192,0.00630008,0.00008462447,0.0058779805],"study_design_scores_gemma":[0.0030484532,0.00032841403,0.9438558,0.0005905798,0.000008568759,0.000007748991,0.00059746683,0.0026464472,0.00006922537,0.013418256,0.034553688,0.0008753154],"about_ca_topic_score_codex":0.0006028318,"about_ca_topic_score_gemma":0.0013364403,"teacher_disagreement_score":0.15164468,"about_ca_system_score_codex":0.0025635732,"about_ca_system_score_gemma":0.000103692415,"threshold_uncertainty_score":0.9997759},"labels":[],"label_agreement":null},{"id":"W3123986210","doi":"","title":"Moving beyond the contingent valuation versus choice experiment debate – Presentation effects in stated preference","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Valuation (finance); Preference; Presentation (obstetrics); Contingent valuation; Dimension (graph theory); Revealed preference; Preference elicitation; Descriptive statistics; Econometrics; Economics; Psychology; Willingness to pay; Microeconomics; Statistics; Mathematics; Accounting","score_opus":0.16189409549738046,"score_gpt":0.32684546060794767,"score_spread":0.1649513651105672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123986210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635165,0.0007078624,0.000076751785,0.00029731335,0.001378309,0.002039479,0.000060993472,0.000026353591,0.031896465],"genre_scores_gemma":[0.99360734,0.0035545644,0.00041757803,0.0000783524,0.00024470856,0.0011147569,0.00024087813,0.00006847311,0.0006733578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99617654,0.00033976737,0.0013345709,0.0012523634,0.0001377838,0.0007589711],"domain_scores_gemma":[0.99721193,0.0009791941,0.000701177,0.000945602,0.000044170833,0.000117928146],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003924234,0.0003696412,0.0006174517,0.00055372657,0.0002106117,0.00024682895,0.00070150895,0.00037880268,0.00024234601],"category_scores_gemma":[0.0007662612,0.00041214368,0.00014013868,0.0001592757,0.00028366726,0.0003192244,0.00087402633,0.0009840514,0.00017235211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081362954,0.0010054162,0.70689416,0.0005702051,0.0005929052,0.000016060201,0.0111208875,0.15003121,0.00039873185,0.01193891,0.00035127936,0.11626662],"study_design_scores_gemma":[0.0050583053,0.00039551817,0.74599165,0.00025213373,0.000019953082,0.0000014511152,0.0011812418,0.21001679,0.0011219983,0.03136152,0.003593928,0.0010054947],"about_ca_topic_score_codex":0.0010881344,"about_ca_topic_score_gemma":0.001098245,"teacher_disagreement_score":0.11526113,"about_ca_system_score_codex":0.0029885552,"about_ca_system_score_gemma":0.00014475572,"threshold_uncertainty_score":0.99983305},"labels":[],"label_agreement":null},{"id":"W3124041968","doi":"10.5070/p537151752","title":"Seeing things differently: How are environmental conditions perceived and why does it matter?","year":2021,"lang":"en","type":"article","venue":"Parks Stewardship Forum","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"Social Sciences and Humanities Research Council of Canada; Brock University","keywords":"Visitor pattern; Recreation; Casual; Perception; Environmental resource management; Set (abstract data type); Business; Psychology; Geography; Environmental planning; Marketing; Ecology; Political science; Environmental science","score_opus":0.03356041212258478,"score_gpt":0.20081833826021409,"score_spread":0.1672579261376293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124041968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98062027,0.00087007124,0.000480406,0.011781545,0.0003284685,0.00016905816,0.0005113056,0.000025814801,0.0052130893],"genre_scores_gemma":[0.9917828,0.00044548552,0.00020581421,0.0034229907,0.000057844252,0.00004420413,0.00024419258,0.0000343392,0.0037623444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998698,0.00003051869,0.00034247935,0.0005312483,0.000046141413,0.0003515989],"domain_scores_gemma":[0.9992988,0.000051687053,0.00024727298,0.00028006718,0.0000032244668,0.00011890771],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016106307,0.00020690101,0.000345825,0.00007529064,0.00027040884,0.00017067483,0.00011234578,0.000117347656,0.0038358977],"category_scores_gemma":[0.00002220581,0.00022010371,0.00011576792,0.000038483086,0.00010831919,0.0005310479,0.00015530907,0.00016261825,0.00059681525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041495705,0.00007359792,0.9931583,0.000026413014,0.000062068946,0.000005595279,0.0007982416,0.000024463558,0.00045995324,0.0019945172,0.0032661823,0.00012652905],"study_design_scores_gemma":[0.00058742467,0.000023971194,0.96940255,0.00003172635,0.000019411335,0.00001719852,0.006695967,0.0007528801,0.00031689386,0.009219484,0.012581086,0.0003514048],"about_ca_topic_score_codex":0.000033939872,"about_ca_topic_score_gemma":0.00005670941,"teacher_disagreement_score":0.023755737,"about_ca_system_score_codex":0.00018320538,"about_ca_system_score_gemma":0.0000051757593,"threshold_uncertainty_score":0.9970747},"labels":[],"label_agreement":null},{"id":"W3124063101","doi":"","title":"A\"Delphi exercise\"as a tool in Amazon rainforest valuation","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Rainforest; Willingness to pay; Tropical rainforest; Purchasing power parity; Valuation (finance); Contingent valuation; Geography; Socioeconomics; Biodiversity; Economics; Agricultural economics; Business; Natural resource economics; Ecology; Finance","score_opus":0.10673784913628497,"score_gpt":0.29563427543127563,"score_spread":0.18889642629499065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124063101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88977665,0.00039450894,0.00004638428,0.00040668042,0.0006405541,0.0014391447,0.000096158125,0.0000345382,0.10716539],"genre_scores_gemma":[0.98343706,0.01172104,0.00050350965,0.00017909831,0.00024243612,0.0007689421,0.00033972913,0.00010646323,0.0027017414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99519396,0.00014101938,0.0020415864,0.0015317801,0.00012801218,0.0009636297],"domain_scores_gemma":[0.9975023,0.00030165009,0.0007024051,0.0013191083,0.000031049094,0.0001434564],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0063691554,0.00046485988,0.0011140524,0.0013852336,0.00013330625,0.00023404253,0.0008266079,0.0007929183,0.00082956953],"category_scores_gemma":[0.0006195985,0.0006442737,0.00027360403,0.00017760815,0.00025847412,0.0003325672,0.0009479138,0.0015417428,0.0012453796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025414134,0.00057628227,0.52180105,0.00045806597,0.0001325531,0.000022270058,0.0026106045,0.23911081,0.000022107812,0.050565574,0.0002583137,0.18418819],"study_design_scores_gemma":[0.0032562276,0.0002254761,0.48858026,0.00053064217,0.000013093957,0.0000074864565,0.00071455655,0.21729533,0.0000642993,0.2699169,0.01776309,0.0016326362],"about_ca_topic_score_codex":0.0007418994,"about_ca_topic_score_gemma":0.00048758698,"teacher_disagreement_score":0.21935132,"about_ca_system_score_codex":0.0029285848,"about_ca_system_score_gemma":0.00021839123,"threshold_uncertainty_score":0.9996008},"labels":[],"label_agreement":null},{"id":"W3124207280","doi":"10.22004/ag.econ.280916","title":"Household Decision-Making and Valuation of Environmental Health Risks to Parents and their Children","year":2013,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Eidgenössische Technische Hochschule Zürich; U.S. Environmental Protection Agency","keywords":"Willingness to pay; Contingent valuation; Valuation (finance); Preference; Economics; Pareto principle; Actuarial science; Marginal utility; Risk perception; Perception; Psychology; Microeconomics","score_opus":0.14310329028080196,"score_gpt":0.24902713707875168,"score_spread":0.10592384679794972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124207280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99338555,0.0011164235,0.0030241017,0.00025009472,0.00007544868,0.000649385,0.0013221063,0.00000673397,0.00017013116],"genre_scores_gemma":[0.9934851,0.0036527698,0.0026088345,0.000057410125,0.000019290368,0.0000017326081,0.00008767373,0.000018879085,0.00006833475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864537,0.000054432723,0.000408965,0.00058878196,0.00007399532,0.0002284505],"domain_scores_gemma":[0.99884546,0.000104286824,0.0005368754,0.00035513507,0.000008068922,0.0001501715],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00083416014,0.0001960975,0.0005732841,0.00033707081,0.00014472385,0.000026065885,0.0002623708,0.00016872205,0.00050543743],"category_scores_gemma":[0.000019312249,0.00026227243,0.00009410049,0.000053547476,0.00017975621,0.0002451533,0.00084486726,0.00021721797,0.000095870295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028816683,0.00010730519,0.92600197,0.00007979368,0.00012638266,5.2445324e-7,0.004634614,0.0012371696,0.000037660808,0.00047376053,0.00017452845,0.06709745],"study_design_scores_gemma":[0.0004837972,0.00012973708,0.9914542,0.00010069355,0.00001004487,0.0000020670261,0.0013152418,0.0025812315,0.000016908063,0.0036212583,0.000081218845,0.0002036195],"about_ca_topic_score_codex":0.0031207537,"about_ca_topic_score_gemma":0.00015601346,"teacher_disagreement_score":0.06689383,"about_ca_system_score_codex":0.00021779079,"about_ca_system_score_gemma":0.00002513148,"threshold_uncertainty_score":0.99998295},"labels":[],"label_agreement":null},{"id":"W3124254870","doi":"","title":"The Economics of Ending Canada’s Commercial Harp Seal Hunt","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Animal rights; Opposition (politics); Seal (emblem); Welfare; Animal welfare; Argument (complex analysis); Government (linguistics); Economy; Business; International trade; Political economy; Market economy; Political science; Economics; Law; History; Politics; Biology; Ecology; Archaeology","score_opus":0.09975363969365351,"score_gpt":0.27641786355539555,"score_spread":0.17666422386174202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124254870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8158611,0.00095430686,0.000009948129,0.0019489075,0.0013533899,0.00085750216,0.00059692014,0.00001645002,0.17840147],"genre_scores_gemma":[0.9745598,0.022956006,0.00021825748,0.00019016177,0.0003201715,0.00011089649,0.00014389615,0.000074182586,0.0014266431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957296,0.00014197866,0.0020071766,0.0010496163,0.000086596214,0.0009849883],"domain_scores_gemma":[0.9968985,0.0005529356,0.0010358546,0.0012762683,0.000027243383,0.00020920341],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003767809,0.00041588643,0.0010207407,0.00037698515,0.00037641512,0.00018163257,0.0012446265,0.00045452113,0.00014081078],"category_scores_gemma":[0.00023072872,0.00048446257,0.0002812078,0.00006748016,0.00038669436,0.000166074,0.0009343705,0.001452931,0.000026059704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027188516,0.00044927577,0.372068,0.00028432242,0.0006224673,0.000017503573,0.0011473412,0.09724591,0.00001273134,0.29798427,0.0016896161,0.22820666],"study_design_scores_gemma":[0.001754743,0.00023299865,0.7036402,0.00017307844,0.00001987975,0.0000080384,0.00073830993,0.022131158,0.0001923822,0.05057873,0.21904722,0.0014832448],"about_ca_topic_score_codex":0.07522667,"about_ca_topic_score_gemma":0.33652973,"teacher_disagreement_score":0.3315722,"about_ca_system_score_codex":0.004665121,"about_ca_system_score_gemma":0.0009762217,"threshold_uncertainty_score":0.9997607},"labels":[],"label_agreement":null},{"id":"W3124264528","doi":"10.1111/cjag.2016.64.issue-4","title":"Consumer preferences for improved hen housing: Is a cage a cage?","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; Poultry Industry Council","keywords":"Cage; Livestock; Agricultural science; Purchasing; Welfare economics; Business; Economics; Geography; Marketing; Biology; Forestry; Mathematics; Combinatorics","score_opus":0.20869093559991753,"score_gpt":0.3168879478146777,"score_spread":0.10819701221476019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124264528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90397054,0.0018672452,0.000089429865,0.0007644217,0.0010816554,0.0027141764,0.0024226424,0.000057584388,0.08703227],"genre_scores_gemma":[0.9799384,0.009889259,0.0021737034,0.00032726658,0.00032775447,0.0011290194,0.00041528267,0.00014891839,0.0056504156],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957981,0.00008603435,0.0014401454,0.0016314215,0.000066031476,0.000978256],"domain_scores_gemma":[0.9974742,0.00029997173,0.0007098427,0.001158628,0.00006814922,0.0002891988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003586145,0.00046895468,0.0011110101,0.00062799733,0.0001891438,0.0002830168,0.00082564075,0.0007201619,0.0004917579],"category_scores_gemma":[0.00039573168,0.00059759675,0.00031768842,0.000091075075,0.00036163937,0.00025131676,0.0009034901,0.0010642705,0.00019831935],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091041834,0.0016807113,0.68568087,0.0016551183,0.0019224702,0.000017891029,0.00979173,0.01457932,0.00015507483,0.011721116,0.012156933,0.25972834],"study_design_scores_gemma":[0.008756183,0.0008920586,0.07101933,0.00043492773,0.00008081318,0.000012966137,0.0037345763,0.17399918,0.0003380695,0.32143304,0.4149786,0.0043202606],"about_ca_topic_score_codex":0.0008167073,"about_ca_topic_score_gemma":0.0005264689,"teacher_disagreement_score":0.6146616,"about_ca_system_score_codex":0.002235326,"about_ca_system_score_gemma":0.00040724687,"threshold_uncertainty_score":0.99964756},"labels":[],"label_agreement":null},{"id":"W3124375475","doi":"10.1080/13504850600592531&amp;magic=repec&amp;7c&amp;7c8674ecab8bb840c6ad35dc6213a474b5","title":"Does Size Really Matter? Landfill Scale Impacts on Property Values","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Municipal solid waste; Property value; Scale (ratio); Offset (computer science); Hedonic pricing; Environmental science; Business; Waste management; Natural resource economics; Economics; Engineering; Geography; Econometrics; Computer science","score_opus":0.06170357034736395,"score_gpt":0.27729602410355975,"score_spread":0.2155924537561958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124375475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70865625,0.00015164778,0.00000218985,0.0017521593,0.00069130515,0.00088858895,0.00041667832,0.000041952764,0.28739926],"genre_scores_gemma":[0.9548221,0.012625839,0.00073472894,0.00064838136,0.0006686597,0.00032181607,0.00015055868,0.00014648921,0.029881429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955525,0.00013993654,0.0014636021,0.0016863135,0.0001125256,0.0010451208],"domain_scores_gemma":[0.9972615,0.00036624577,0.0005946458,0.0014579883,0.000026836278,0.0002927791],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0027958169,0.00052461994,0.0010287227,0.00054490357,0.00020642801,0.00028287736,0.0008782334,0.0006575557,0.0026270496],"category_scores_gemma":[0.0002867674,0.0004133575,0.00031237063,0.0000874281,0.0003101551,0.00028031284,0.000892755,0.0015221409,0.0020925666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002592419,0.0008142721,0.9092604,0.0003319078,0.00025187165,0.000016015,0.0013758804,0.01736605,0.00004982287,0.00092068315,0.0018517505,0.0675021],"study_design_scores_gemma":[0.0016303412,0.00026356988,0.9223595,0.00035588242,0.000011594679,0.0000066559132,0.00039521905,0.00659239,0.00021711872,0.022444358,0.04435225,0.001371067],"about_ca_topic_score_codex":0.0005626034,"about_ca_topic_score_gemma":0.00045520888,"teacher_disagreement_score":0.2575178,"about_ca_system_score_codex":0.0027214193,"about_ca_system_score_gemma":0.00014491258,"threshold_uncertainty_score":0.99983186},"labels":[],"label_agreement":null},{"id":"W3124379194","doi":"","title":"The exact distribution of the Hansen-Jagannathan bound","year":2008,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Normality; Constraint (computer-aided design); Applied mathematics; Simple (philosophy); Population; Multivariate normal distribution; Multivariate statistics; Interpretation (philosophy); Variance (accounting); Sample (material); Econometrics; Statistics; Computer science; Economics","score_opus":0.04872483479092374,"score_gpt":0.21286977743684082,"score_spread":0.16414494264591709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124379194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96414787,0.005876806,0.00035460378,0.0009025167,0.0052313735,0.00074484956,0.0016176142,0.000044391018,0.021079998],"genre_scores_gemma":[0.99219173,0.0034787415,0.000057358815,0.00014167032,0.00034576,0.00011553624,0.00021999942,0.000056535253,0.0033926892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968501,0.00009736843,0.0015897796,0.0008502408,0.00010071529,0.0005118481],"domain_scores_gemma":[0.99616015,0.0002307665,0.0019564475,0.0014937189,0.000035624784,0.00012328595],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011357012,0.0004725612,0.0008111297,0.00010771483,0.0007110845,0.00012862972,0.0010256942,0.0004950354,0.0005356971],"category_scores_gemma":[0.00021616995,0.00041220844,0.00068882876,0.000119536155,0.0011425988,0.00020619604,0.00064762344,0.0007929292,0.0008610037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015110392,0.00010040014,0.96777934,0.000046081605,0.0002093566,0.0000016219208,0.00031489664,0.00055437774,0.0000103023485,0.018600244,0.0119886855,0.0003795865],"study_design_scores_gemma":[0.0005669938,0.000042848398,0.91898125,0.00007890981,0.000040785137,0.000035755904,0.00011883368,0.0011487546,0.00029687528,0.013435536,0.06463927,0.0006141825],"about_ca_topic_score_codex":0.00041232374,"about_ca_topic_score_gemma":0.00017665052,"teacher_disagreement_score":0.052650582,"about_ca_system_score_codex":0.0010784154,"about_ca_system_score_gemma":0.00022486679,"threshold_uncertainty_score":0.999917},"labels":[],"label_agreement":null},{"id":"W3124401437","doi":"","title":"A Box-Cox double-hurdle model of wildlife valuation: the citizen’s perspective","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Perspective (graphical); Contingent valuation; Wildlife; Valuation (finance); Payment; Actuarial science; Wildlife conservation; Willingness to pay; Economics; Public economics; Econometrics; Geography; Microeconomics; Computer science; Ecology; Accounting; Finance","score_opus":0.16552741168467913,"score_gpt":0.3094425877701629,"score_spread":0.1439151760854838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124401437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72463095,0.0012850825,0.00062536483,0.0032592942,0.00064041815,0.0021589503,0.00056653295,0.000040732346,0.26679265],"genre_scores_gemma":[0.98806006,0.007640496,0.0009211995,0.00020928275,0.0002145241,0.0005194918,0.00009180032,0.00009166727,0.002251493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961673,0.00010106155,0.0015762508,0.001296087,0.00014954087,0.0007097521],"domain_scores_gemma":[0.9972288,0.00022479407,0.0008796187,0.0014299061,0.00008989709,0.00014695717],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0038836342,0.0004085525,0.00093813566,0.0005916036,0.00023126749,0.00013561847,0.0010427578,0.0005280441,0.00036978567],"category_scores_gemma":[0.00022329095,0.00044731953,0.00040093937,0.00014671915,0.0006397294,0.00023364287,0.0009902004,0.0014263917,0.00015046919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013342788,0.00027598612,0.01311944,0.00010570063,0.00022794503,0.0000020238926,0.0037923348,0.7728525,0.000016758682,0.20702194,0.0000859245,0.002366037],"study_design_scores_gemma":[0.0036124699,0.00016482515,0.01798157,0.00020111224,0.000028969102,0.0000063859393,0.004119059,0.27758762,0.00019374504,0.69384116,0.0012816268,0.0009814653],"about_ca_topic_score_codex":0.00092316576,"about_ca_topic_score_gemma":0.00026318157,"teacher_disagreement_score":0.4952649,"about_ca_system_score_codex":0.0046645575,"about_ca_system_score_gemma":0.00058191357,"threshold_uncertainty_score":0.9997979},"labels":[],"label_agreement":null},{"id":"W3124404566","doi":"10.13140/rg.2.1.1802.6082","title":"Community Managed Forest Groups and Preferences for REDD+ Contract Attributes A Choice Experiment Survey of Communities in Nepal","year":2015,"lang":"en","type":"article","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Business; Environmental resource management; Geography; Forestry; Environmental planning; Economics","score_opus":0.2560262969611295,"score_gpt":0.3048828036775261,"score_spread":0.04885650671639663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124404566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95031714,0.0047704456,0.000061936444,0.00017659021,0.00038932925,0.0011753755,0.00011603448,0.000016100035,0.042977072],"genre_scores_gemma":[0.9932648,0.00007012684,0.0002348253,0.00005051552,0.0000590706,0.0002857205,0.00012050737,0.00002863324,0.00588581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977967,0.000636855,0.0009540895,0.00026966314,0.000044686665,0.00029796574],"domain_scores_gemma":[0.997165,0.0013888363,0.0005547004,0.00074063,0.000061624814,0.0000891765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048052636,0.00024134845,0.000672911,0.00022347909,0.00045789432,0.00019523267,0.00097115035,0.000061246676,0.00006546288],"category_scores_gemma":[0.00015044032,0.00022699167,0.00007356309,0.00026923677,0.00034928345,0.0004713267,0.0006355561,0.0003386434,0.00002447955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019148174,0.00042472378,0.9792353,0.0000582229,0.0000998833,4.0837136e-7,0.004047155,0.00018146615,0.000014897078,0.012633545,0.0025588325,0.0005540868],"study_design_scores_gemma":[0.0018396601,0.00015644393,0.9813258,0.000096909745,0.000020323077,0.000002272457,0.0011686607,0.0037630165,0.0002580728,0.0051646787,0.005912628,0.00029152707],"about_ca_topic_score_codex":0.028033694,"about_ca_topic_score_gemma":0.18474744,"teacher_disagreement_score":0.15671375,"about_ca_system_score_codex":0.00030130727,"about_ca_system_score_gemma":0.00004392129,"threshold_uncertainty_score":0.97843874},"labels":[],"label_agreement":null},{"id":"W3124616634","doi":"","title":"An Incremental Analysis of the Value of Expanding a Wilderness Area","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Natural Resources Canada","funders":"","keywords":"Wilderness; Value (mathematics); Wilderness area; Logging; Current (fluid); Geography; Environmental science; Environmental resource management; Hydrology (agriculture); Forestry; Mathematics; Geology; Statistics; Ecology; Geotechnical engineering","score_opus":0.032710029778169045,"score_gpt":0.22144644746165473,"score_spread":0.1887364176834857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124616634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871411,0.00069953833,0.011375788,0.00009263613,0.000076552715,0.00006154095,0.000016951833,0.0000026899115,0.00053321477],"genre_scores_gemma":[0.99919677,0.00059989747,0.000084220905,0.000024627088,0.00002633048,0.0000019407453,0.000006358995,0.0000088672905,0.000050983508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988444,0.000018229053,0.00049912994,0.00014068944,0.000045556284,0.00045198484],"domain_scores_gemma":[0.9992046,0.000009451679,0.0005624514,0.00018721046,0.0000070498268,0.000029260957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012002195,0.00007866913,0.00026908907,0.00020051214,0.00008733185,0.000012283175,0.0002449003,0.000041765532,0.00008960186],"category_scores_gemma":[0.000013669405,0.000071310686,0.00021241955,0.000264384,0.00005553845,0.00020886686,0.000027074539,0.00026974513,0.000006203652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010114108,0.00010939489,0.60472995,0.0000023596815,0.0006545839,7.7881076e-8,0.00037644638,0.029211741,0.0008292027,0.36370426,7.6304343e-7,0.00037110457],"study_design_scores_gemma":[0.0010678841,0.00022220238,0.64344203,0.000014178629,0.00023203478,0.000016046422,0.0021496634,0.0030893723,0.0021774492,0.347411,0.000015552869,0.00016254334],"about_ca_topic_score_codex":0.00045049578,"about_ca_topic_score_gemma":0.0003527852,"teacher_disagreement_score":0.0387121,"about_ca_system_score_codex":0.0009319531,"about_ca_system_score_gemma":0.00012266966,"threshold_uncertainty_score":0.29079655},"labels":[],"label_agreement":null},{"id":"W3124795466","doi":"","title":"Leisure and the Net Opportunity Cost of Travel Time in Recreation Demand Analysis: An Application to Gros Morne National Park","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Opportunity cost; Recreation; Visitor pattern; Earnings; Economics; Economic surplus; Econometrics; Microeconomics; Ecology; Finance; Computer science","score_opus":0.043590912742133225,"score_gpt":0.23487282830202463,"score_spread":0.1912819155598914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124795466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569824,0.0011079544,0.040054396,0.00047395943,0.000021587875,0.0002733521,0.00002192516,0.0000026712423,0.0010617585],"genre_scores_gemma":[0.9983888,0.0010464701,0.000104689934,0.00007432766,0.000074732,0.000029170886,0.00006625345,0.0000070172437,0.00020852248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989289,0.0000530885,0.0004300247,0.00013346552,0.000045712637,0.00040878778],"domain_scores_gemma":[0.9994593,0.000036378344,0.00031108686,0.00009780376,0.000014411145,0.00008097401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048368946,0.00007571834,0.00023647778,0.00019295455,0.000076070595,0.000018868537,0.00009438935,0.00005147831,0.00007641431],"category_scores_gemma":[0.000045472683,0.00007056674,0.000054199994,0.00018793369,0.000040439,0.0003304923,0.00001405884,0.000247758,0.000034474353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008542011,0.00013611908,0.65836877,0.0000024758483,0.00022481424,2.7290746e-8,0.0006215779,0.0051326314,0.00009302959,0.33201793,0.000026059099,0.003291165],"study_design_scores_gemma":[0.000997108,0.000064230946,0.8727186,0.0000024260032,0.00005492885,0.000012069765,0.000420937,0.022484615,0.000022205797,0.10292665,0.00018452894,0.00011170216],"about_ca_topic_score_codex":0.00016308072,"about_ca_topic_score_gemma":0.00033821023,"teacher_disagreement_score":0.22909127,"about_ca_system_score_codex":0.00047007034,"about_ca_system_score_gemma":0.00007644221,"threshold_uncertainty_score":0.2877628},"labels":[],"label_agreement":null},{"id":"W3124870005","doi":"10.1509/jmkr.38.3.349.18865","title":"The Role of Market Efficiency Intuitions in Consumer Choice: A Case of Compensatory Inferences","year":2001,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Unobservable; Counterintuitive; Inference; Extant taxon; Econometrics; Economics; Product (mathematics); Consumer choice; Microeconomics; Computer science; Mathematics; Artificial intelligence","score_opus":0.1293533494246055,"score_gpt":0.32331207209076585,"score_spread":0.19395872266616035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124870005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717505,0.0033050731,0.000019407806,0.00016409688,0.00006135023,0.000092166716,0.000009636097,8.532965e-7,0.024596928],"genre_scores_gemma":[0.99735487,0.0023570687,0.00008134392,0.0000048840366,0.000031008123,0.0000033350104,3.8113913e-7,0.0000057669813,0.00016136884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983415,0.00034102242,0.00090823387,0.00010141758,0.00009046129,0.00021738537],"domain_scores_gemma":[0.99635047,0.002792159,0.00058590143,0.00014450728,0.00008193379,0.000045056935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0192026,0.00005498566,0.00023195414,0.00035172404,0.00011717379,0.00002306476,0.00022335745,0.000047330494,0.0006728743],"category_scores_gemma":[0.0025007597,0.000047982176,0.00007215347,0.0002407169,0.0002693159,0.00012396464,0.000073773546,0.00033415543,0.000013335147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012776972,0.00012110424,0.9904909,0.000017898288,0.000023795135,0.000014431488,0.00026126017,0.00009037667,0.000060475108,0.0023293842,0.00025246537,0.00621015],"study_design_scores_gemma":[0.0005699116,0.00012391481,0.9775224,0.000091551556,0.0000033044207,0.00013411632,0.0032119548,0.0035115592,0.000051949173,0.008221658,0.0064893723,0.000068331254],"about_ca_topic_score_codex":0.00032221645,"about_ca_topic_score_gemma":0.00016202939,"teacher_disagreement_score":0.025604354,"about_ca_system_score_codex":0.00012896897,"about_ca_system_score_gemma":0.00005961424,"threshold_uncertainty_score":0.7367502},"labels":[],"label_agreement":null},{"id":"W3124911044","doi":"","title":"A Revealed Preference Approach to the Measurement of Congestion in Travel Cost Models","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Endogeneity; Revealed preference; Context (archaeology); Valuation (finance); Recreation; Preference; Economics; Econometrics; Geography; Microeconomics; Computer science; Finance; Ecology","score_opus":0.30420133406632804,"score_gpt":0.2833021852732886,"score_spread":0.020899148793039446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124911044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6809056,0.0005400826,0.0008496076,0.00040991415,0.00028582403,0.0033565713,0.00036076643,0.000012540188,0.3132791],"genre_scores_gemma":[0.9943809,0.002529698,0.0011299854,0.000058060814,0.00007640636,0.0011042751,0.000103663246,0.000048311762,0.0005686991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99649906,0.0001437851,0.0015447441,0.001079664,0.00014172557,0.00059100514],"domain_scores_gemma":[0.99821746,0.00011948798,0.0005095446,0.0009970213,0.000049134625,0.00010736131],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0061624586,0.00029881668,0.00080598396,0.0006524984,0.00007573622,0.00007333448,0.0007950928,0.0003762811,0.00003854946],"category_scores_gemma":[0.00018277651,0.00032849377,0.0001521952,0.00016684805,0.00017637707,0.0001460813,0.00055975956,0.0009860387,0.000039555573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009919439,0.00049803697,0.06150652,0.00018971089,0.000060434275,0.0000012314326,0.0010726592,0.9008336,0.000017357737,0.013410626,0.00013297604,0.022177665],"study_design_scores_gemma":[0.0012831447,0.00009380432,0.68005955,0.00026067471,0.000006738335,0.0000018341459,0.0005324071,0.2822773,0.0000485684,0.033292476,0.001519548,0.00062392664],"about_ca_topic_score_codex":0.0013461132,"about_ca_topic_score_gemma":0.0011980076,"teacher_disagreement_score":0.61855626,"about_ca_system_score_codex":0.0027148817,"about_ca_system_score_gemma":0.00016449363,"threshold_uncertainty_score":0.99991673},"labels":[],"label_agreement":null},{"id":"W3124926812","doi":"","title":"The Value of a Statistical Life: a Meta-Analysis with a Mixed Effects Regression Model","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Value (mathematics); Meta-analysis; Meta-regression; Order (exchange); Regression analysis; Set (abstract data type); Wage; Econometrics; Work (physics); Actuarial science; Public economics; Economics; Operations research; Computer science; Statistics; Engineering; Mathematics; Medicine","score_opus":0.11742803783109265,"score_gpt":0.3031884025826736,"score_spread":0.18576036475158095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124926812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91988546,0.005442649,0.008590607,0.00083122664,0.00029056074,0.0025388,0.0016435331,0.000041466854,0.060735717],"genre_scores_gemma":[0.98787975,0.0029340887,0.0064758286,0.000050295166,0.00004611452,0.0005938609,0.00020387917,0.000069379275,0.0017467925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99622613,0.00026309636,0.0015269873,0.0011735874,0.0001427978,0.00066742627],"domain_scores_gemma":[0.99620944,0.0012355642,0.00095192034,0.0013867742,0.000037320253,0.00017899596],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037322324,0.00040698537,0.001973993,0.00065887586,0.00021481504,0.00014182927,0.0007074514,0.0003902343,0.00010792499],"category_scores_gemma":[0.00037237862,0.00032417182,0.0008001638,0.00023142021,0.00053807837,0.000108932516,0.0006691752,0.0010057493,0.000026723477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017544608,0.00031052015,0.042964574,0.00021228136,0.025910031,0.000007976844,0.00020415007,0.87041825,0.000004213236,0.055584032,0.00018179965,0.004026725],"study_design_scores_gemma":[0.00093594077,0.00016743618,0.08663445,0.00003230321,0.0047484376,0.0000015184881,0.00010775382,0.8576483,0.000044343535,0.04840946,0.0006271465,0.00064287643],"about_ca_topic_score_codex":0.00061578996,"about_ca_topic_score_gemma":0.00050641084,"teacher_disagreement_score":0.06799432,"about_ca_system_score_codex":0.000749243,"about_ca_system_score_gemma":0.00019121212,"threshold_uncertainty_score":0.999921},"labels":[],"label_agreement":null},{"id":"W3125121835","doi":"","title":"Publication Effects in the Recreation Use Values Literature","year":2007,"lang":"en","type":"article","venue":"2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Value (mathematics); Selection (genetic algorithm); Estimator; Selection bias; Agency (philosophy); Statistics; Econometrics; Computer science; Economics; Political science; Sociology; Mathematics; Social science","score_opus":0.03132373504050592,"score_gpt":0.22892863679123082,"score_spread":0.1976049017507249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125121835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8968364,0.0034946168,0.0019915556,0.00061386236,0.0012340669,0.001223139,0.0002703834,0.00011695987,0.09421901],"genre_scores_gemma":[0.9787981,0.00092924404,0.0018543139,0.0022360578,0.001096834,0.00009793091,0.0015417463,0.000084120395,0.013361646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99719536,0.00009292331,0.001209098,0.0007119774,0.00014846555,0.0006421607],"domain_scores_gemma":[0.99808824,0.0002849209,0.00082242687,0.0005844956,0.00007287347,0.00014705634],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039449222,0.0003511537,0.0004371609,0.00046313915,0.00020514135,0.00030780723,0.00037376204,0.00036948436,0.00041076334],"category_scores_gemma":[0.00065859716,0.00032570327,0.0001551232,0.0005131298,0.00009179131,0.0013420341,0.00006229096,0.00045401996,0.001195533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011630201,0.00038383013,0.8025182,0.00007739733,0.00005268471,0.000033380085,0.0039061615,0.00021492047,0.00002521045,0.013488194,0.17523068,0.003953027],"study_design_scores_gemma":[0.00095651875,0.00014045967,0.77067894,0.00009407397,0.000018905443,0.000023564633,0.0003819131,0.00030633967,0.00012462174,0.0026159643,0.2242232,0.00043552526],"about_ca_topic_score_codex":0.00045651707,"about_ca_topic_score_gemma":0.000082958686,"teacher_disagreement_score":0.0819617,"about_ca_system_score_codex":0.00028910072,"about_ca_system_score_gemma":0.000021645441,"threshold_uncertainty_score":0.9999195},"labels":[],"label_agreement":null},{"id":"W3125139693","doi":"10.2139/ssrn.1708084","title":"Truth in Consequentiality: Theory and Field Evidence on Discrete Choice Experiments","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Field (mathematics); Psychology; Physics; Theoretical physics; Mathematics","score_opus":0.05834473078988194,"score_gpt":0.2702271203528785,"score_spread":0.21188238956299654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125139693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99328357,0.0020918949,0.001440025,0.0005101843,0.00034925283,0.00008411144,0.000003006103,0.0000056505796,0.002232282],"genre_scores_gemma":[0.99693775,0.00208645,0.000036157988,0.00030108448,0.00011037677,0.000007924167,0.0000013535521,0.000011468322,0.0005074335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987356,0.00004084349,0.0003328139,0.00023225538,0.000028080865,0.00063039345],"domain_scores_gemma":[0.9993883,0.00023490276,0.00017660335,0.00014572944,0.0000028807585,0.000051590363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026087775,0.00010008322,0.00016539182,0.00010092824,0.000085783664,0.00005139286,0.000132065,0.000075228694,0.00036457888],"category_scores_gemma":[0.0003273987,0.00010684041,0.000046424233,0.00003867126,0.000052956864,0.00028768592,0.000029625653,0.00094691094,0.00010452457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004972725,0.000028903045,0.20603997,0.000002111906,0.000026292866,6.946579e-7,0.0001402931,0.000006675637,0.0003860962,0.79084426,0.0000111528125,0.00246383],"study_design_scores_gemma":[0.00090191734,0.0003108363,0.109925725,0.000026190402,0.000006217442,0.000046999205,0.0005404561,0.00011380935,0.00091282773,0.8864538,0.00053327344,0.00022791332],"about_ca_topic_score_codex":0.0001558544,"about_ca_topic_score_gemma":0.0003776841,"teacher_disagreement_score":0.09611424,"about_ca_system_score_codex":0.0002939883,"about_ca_system_score_gemma":0.0000719565,"threshold_uncertainty_score":0.43568256},"labels":[],"label_agreement":null},{"id":"W3125184005","doi":"","title":"Consumer Preferences for Improvements in Mobile Telecommunication Services","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Roaming; Business; The Internet; Order (exchange); Mobile internet; Willingness to pay; Service (business); Mobile service; Telecommunications; Quality (philosophy); Mobile telephony; Service provider; Mobile QoS; Quality of service; Marketing; Computer science; Mobile radio; Economics; Finance; Microeconomics; World Wide Web","score_opus":0.14398801591437133,"score_gpt":0.32381701932692175,"score_spread":0.17982900341255043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125184005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9599643,0.0021768562,0.0000061461733,0.00009144053,0.0003826451,0.0021468776,0.00045086013,0.000019492049,0.034761436],"genre_scores_gemma":[0.9756699,0.019060599,0.00090172736,0.00007385047,0.00008281562,0.0027226931,0.00061269896,0.000060637318,0.00081504136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968981,0.00009249887,0.0013194506,0.0010105335,0.000056317913,0.0006230772],"domain_scores_gemma":[0.9979814,0.00023776454,0.0005748792,0.0010374002,0.0000421301,0.00012639175],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003661362,0.0002937715,0.0007164961,0.000632838,0.00009279621,0.00014673237,0.0009252239,0.00047403193,0.00017144298],"category_scores_gemma":[0.00010194885,0.0003869977,0.00013214326,0.00008772784,0.00016399419,0.00027019918,0.0009030375,0.00080493203,0.000115135044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014452184,0.0006974051,0.7925302,0.00065021234,0.00017625451,0.0000013166019,0.0020432735,0.032301545,0.000032093805,0.0022273674,0.00012046321,0.16907537],"study_design_scores_gemma":[0.007691022,0.00078093575,0.44662923,0.00061519357,0.000023743636,0.0000029784833,0.00586061,0.13155308,0.00026365666,0.2841147,0.119865276,0.0025995933],"about_ca_topic_score_codex":0.000723847,"about_ca_topic_score_gemma":0.0016955491,"teacher_disagreement_score":0.34590095,"about_ca_system_score_codex":0.0019177627,"about_ca_system_score_gemma":0.00015865912,"threshold_uncertainty_score":0.9998582},"labels":[],"label_agreement":null},{"id":"W3125199832","doi":"10.2139/ssrn.1012597","title":"Size Matters: Covariance Matrix Estimation Under the Alternative","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Bank of Canada","funders":"","keywords":"Estimation of covariance matrices; Estimation; Covariance matrix; Econometrics; Mathematics; Statistics; CMA-ES; Matrix (chemical analysis); Economics; Chemistry","score_opus":0.031702758409393926,"score_gpt":0.2328712198344148,"score_spread":0.20116846142502087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125199832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57710856,0.005102057,0.37557405,0.03841285,0.0004548977,0.0002421197,0.000017142167,0.000027236083,0.0030610668],"genre_scores_gemma":[0.99121815,0.0019715081,0.0011935758,0.0015946269,0.0003490965,0.000009170155,0.0000038354283,0.000019205185,0.003640848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985696,0.000023944502,0.0004085979,0.00018573456,0.00004086632,0.0007712202],"domain_scores_gemma":[0.9993732,0.00006475109,0.00036354773,0.0001558623,0.000007311643,0.0000353567],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014962269,0.00011211202,0.00014979986,0.00004838623,0.00020856384,0.00008400719,0.00023640136,0.00004664019,0.00055742357],"category_scores_gemma":[0.000025527695,0.00010112427,0.00008519764,0.00006159182,0.00004699375,0.00045415084,0.000026465272,0.0005883999,0.001968556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001279587,0.000041628427,0.0033912042,0.0000016093599,0.00011785495,2.2341361e-7,0.0002211934,0.040579204,0.000016627699,0.95093375,0.00044832137,0.004235605],"study_design_scores_gemma":[0.0008222669,0.000079914054,0.015835648,0.000006630377,0.0000134865595,0.00011950809,0.0007238148,0.02764259,0.000045945104,0.94759023,0.006910196,0.00020976123],"about_ca_topic_score_codex":0.00007771228,"about_ca_topic_score_gemma":0.000099486926,"teacher_disagreement_score":0.41410956,"about_ca_system_score_codex":0.0015429736,"about_ca_system_score_gemma":0.00008507013,"threshold_uncertainty_score":0.9988085},"labels":[],"label_agreement":null},{"id":"W3125283089","doi":"","title":"Inferring Rationales from Choice: Identification for Rational Shortlist Methods","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Axiom; Mathematical economics; Revealed preference; Variety (cybernetics); Identification (biology); Maximization; Utility maximization; Binary relation; Preference; Economics; Computer science; Microeconomics; Welfare economics; Mathematics; Artificial intelligence; Discrete mathematics","score_opus":0.2123456429046669,"score_gpt":0.37612144516086327,"score_spread":0.16377580225619637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125283089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93912387,0.001298455,0.00900555,0.0013498334,0.0019961172,0.0031390241,0.001981859,0.00005750911,0.042047773],"genre_scores_gemma":[0.953868,0.0033394636,0.029811284,0.00014714412,0.00094984024,0.0031373238,0.0035748947,0.00012529264,0.0050468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962243,0.00013815913,0.001699286,0.0013367694,0.00007569132,0.00052582374],"domain_scores_gemma":[0.99719995,0.0010062533,0.0007298077,0.0008576465,0.0000660059,0.00014035402],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034345088,0.00032802994,0.00068505347,0.0005638367,0.00025018508,0.000406374,0.00061677466,0.00051607145,0.0013471366],"category_scores_gemma":[0.00090076716,0.00045410404,0.0002636281,0.00007293012,0.00020648252,0.0004525854,0.00052139716,0.00075265975,0.00032175455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008532465,0.0006016582,0.568492,0.0003419219,0.00070178084,0.0000013423995,0.0013107664,0.11665524,0.0011007527,0.12780459,0.0011182548,0.18178634],"study_design_scores_gemma":[0.0009127807,0.000038329043,0.52353746,0.000067739595,0.000012910535,7.786896e-7,0.0002382582,0.19847763,0.0003592958,0.2388778,0.036721747,0.00075529737],"about_ca_topic_score_codex":0.00051572244,"about_ca_topic_score_gemma":0.0003657786,"teacher_disagreement_score":0.18103105,"about_ca_system_score_codex":0.0018470628,"about_ca_system_score_gemma":0.00016936775,"threshold_uncertainty_score":0.9997911},"labels":[],"label_agreement":null},{"id":"W3125366282","doi":"","title":"Does the Value of a Statistical Life Vary with Age and Health Status? Evidence from the United States and Canada","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Respondent; Willingness to pay; Demography; Contingent valuation; Gerontology; Medicine; Environmental health; Economics; Political science","score_opus":0.10352209135381638,"score_gpt":0.2852608261584205,"score_spread":0.18173873480460415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125366282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894161,0.0024565088,0.00005025224,0.0046818946,0.00012817734,0.00069056684,0.0018177994,0.0000055421597,0.000753137],"genre_scores_gemma":[0.87615925,0.12210117,0.0005396626,0.000626922,0.000056793197,0.000076588396,0.00019758158,0.000033092292,0.00020895702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767065,0.00021065152,0.00082695426,0.00071046315,0.00008713469,0.00049411866],"domain_scores_gemma":[0.99682987,0.0018286149,0.0004677438,0.0006506696,0.000016308048,0.000206785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002000732,0.00023260213,0.0005769967,0.00012960596,0.00020438505,0.00012770288,0.00036683455,0.00011956413,0.00015934184],"category_scores_gemma":[0.00029948092,0.00014889483,0.000031821994,0.00006634824,0.0007210099,0.000095691445,0.00056679465,0.00079920905,0.000002459322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068982765,0.00005421984,0.96470207,0.00017420936,0.0002027374,0.000008278887,0.0023871,0.018537978,5.2247964e-7,0.004195224,0.0005004063,0.009168274],"study_design_scores_gemma":[0.0004365666,0.00010934018,0.9345379,0.00018992925,0.000007909523,0.0000013102633,0.0020858317,0.048173558,0.0000018247638,0.007850848,0.006350139,0.00025486623],"about_ca_topic_score_codex":0.737212,"about_ca_topic_score_gemma":0.44316915,"teacher_disagreement_score":0.29404286,"about_ca_system_score_codex":0.00088107004,"about_ca_system_score_gemma":0.0004363437,"threshold_uncertainty_score":0.6071755},"labels":[],"label_agreement":null},{"id":"W3125377759","doi":"10.2139/ssrn.303701","title":"The Willingness to Pay for Mortality Risk Reductions: A Comparison of the United States and Canada","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Respondent; Willingness to pay; Contingent valuation; Demography; Population; Economics; Socioeconomics; Environmental health; Geography; Medicine; Political science","score_opus":0.05426963745774685,"score_gpt":0.2300425297457149,"score_spread":0.17577289228796805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125377759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99282855,0.0022614882,0.0024800953,0.0019470432,0.00021907431,0.00015691179,0.00005484213,0.0000016331685,0.000050387716],"genre_scores_gemma":[0.9920439,0.0072769355,0.000026436655,0.0000624427,0.000048200167,0.000010646708,0.0000038052112,0.0000072690254,0.00052034244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906087,0.00002218159,0.00035917174,0.00010553301,0.000027544194,0.00042467366],"domain_scores_gemma":[0.99942714,0.00006478314,0.00033820872,0.00012478957,0.000012632082,0.000032428103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093681563,0.00006166487,0.00012776085,0.00002442697,0.0004096109,0.000025654708,0.00013391329,0.000021303244,0.000014574143],"category_scores_gemma":[0.000073911884,0.00004052415,0.00004155599,0.000071578615,0.000038693925,0.000051568713,0.000018150191,0.0003003299,0.000002586562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075242606,0.000026697286,0.9574264,0.0000028853942,0.00011662033,1.2534503e-8,0.0002914754,0.0060186572,0.0000021963394,0.032814845,0.0008395217,0.002453117],"study_design_scores_gemma":[0.0008168367,0.00023754017,0.581313,0.000011902402,0.000055625234,0.000016184784,0.0076915813,0.041597165,0.000091809525,0.32296297,0.04495424,0.0002511194],"about_ca_topic_score_codex":0.14948972,"about_ca_topic_score_gemma":0.41380128,"teacher_disagreement_score":0.3761134,"about_ca_system_score_codex":0.0005521246,"about_ca_system_score_gemma":0.00008176118,"threshold_uncertainty_score":0.85617393},"labels":[],"label_agreement":null},{"id":"W3125605826","doi":"","title":"Assessing Heterogeneity in Discrete Choice Models Using a Dirichlet Process Prior","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mixing (physics); A priori and a posteriori; Dirichlet distribution; Dirichlet process; Mathematics; Component (thermodynamics); Distribution (mathematics); Process (computing); Computer science; Mixture model; Econometrics; Mathematical optimization; Applied mathematics; Statistics; Bayesian probability; Mathematical analysis","score_opus":0.1008809907143015,"score_gpt":0.2893464975152418,"score_spread":0.18846550680094026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125605826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.912929,0.002197568,0.08386651,0.00020598674,0.000097466655,0.000121257406,0.000004097058,0.000010672076,0.00056746457],"genre_scores_gemma":[0.9984308,0.00075035106,0.0005329399,0.000082700775,0.00011513254,0.0000067167894,0.0000042635525,0.000028661936,0.000048436894],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978425,0.000018980643,0.00057261466,0.000310984,0.000046843285,0.0012080899],"domain_scores_gemma":[0.99940205,0.000012922712,0.0003769324,0.00013602078,0.000008040155,0.000064014406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013857706,0.00015336408,0.0002728356,0.00017688498,0.00017680903,0.00013460913,0.00019459809,0.000083980456,0.00002066809],"category_scores_gemma":[0.000030380002,0.00017606179,0.000095465904,0.00014388435,0.000034728568,0.0014982638,0.00003228576,0.00074439996,0.000036830625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020873404,0.00020991417,0.47601599,0.00002086158,0.00011983747,0.0000037977302,0.0005281123,0.33895227,0.0001648801,0.18116473,7.232943e-7,0.002798015],"study_design_scores_gemma":[0.0017996259,0.000082467996,0.06040616,0.00004199031,0.000011995616,0.00012074039,0.0006798778,0.03638005,0.00011410276,0.8999743,0.000027846374,0.00036085746],"about_ca_topic_score_codex":0.0004217688,"about_ca_topic_score_gemma":0.0007083343,"teacher_disagreement_score":0.71880955,"about_ca_system_score_codex":0.0031039082,"about_ca_system_score_gemma":0.00032969404,"threshold_uncertainty_score":0.8116612},"labels":[],"label_agreement":null},{"id":"W3125617899","doi":"10.21256/zhaw-25600","title":"Estimation of households&apos; and businesses&apos; willingness to pay for improved reliability of electricity supply in Nepal","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Contingent valuation; Willingness to pay; Estimation; Electricity; Mains electricity; Economic shortage; Agricultural economics; Logit; Economics; Business; Actuarial science; Econometrics; Engineering; Microeconomics; Government (linguistics)","score_opus":0.11074338674213968,"score_gpt":0.3168303276798063,"score_spread":0.2060869409376666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125617899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947416,0.0001432714,0.0007063107,0.00090850744,0.00019957866,0.00183196,0.0006447703,0.000012054034,0.0008119457],"genre_scores_gemma":[0.9918001,0.002632321,0.0048796153,0.000054510492,0.00006044387,0.00030645143,0.00014732587,0.00005623625,0.00006297114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99662346,0.00006948495,0.0017166834,0.0010677887,0.000052626994,0.00046995663],"domain_scores_gemma":[0.9980451,0.00044563753,0.0006962259,0.0006239452,0.0000534799,0.00013562685],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026665663,0.00027996255,0.0010935663,0.0004419695,0.000053586533,0.000049375987,0.0004134113,0.00039051418,0.00003046422],"category_scores_gemma":[0.0011657364,0.00033400144,0.00014947994,0.00023253857,0.00017158627,0.00020035046,0.0004919106,0.0006034955,0.000004342724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007033535,0.0005016043,0.68133485,0.0016204722,0.000085960215,0.0000011422278,0.0013150848,0.23296076,0.00064412307,0.0026192106,0.000033638746,0.07817976],"study_design_scores_gemma":[0.0016217756,0.00034792157,0.5968156,0.00015025021,0.000010499932,0.0000010673591,0.00016343154,0.3701303,0.0013062577,0.028241567,0.00070318405,0.000508145],"about_ca_topic_score_codex":0.0010389783,"about_ca_topic_score_gemma":0.00041975497,"teacher_disagreement_score":0.13716953,"about_ca_system_score_codex":0.000889701,"about_ca_system_score_gemma":0.0001867821,"threshold_uncertainty_score":0.9999112},"labels":[],"label_agreement":null},{"id":"W3125666553","doi":"","title":"Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles","year":2009,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; McMaster University","funders":"Natural Resources Canada","keywords":"Multicollinearity; Willingness to pay; Econometrics; Revealed preference; Electric vehicle; Popularity; Economics; Computer science; Statistics; Microeconomics; Mathematics; Regression analysis","score_opus":0.06976386493987093,"score_gpt":0.26260905262869516,"score_spread":0.19284518768882425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125666553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98689806,0.0024054379,0.00008340132,0.0014806713,0.00009438202,0.0012381518,0.002456475,0.000055529512,0.0052879057],"genre_scores_gemma":[0.99843514,0.00018991136,0.00007624759,0.00041690518,0.00010513631,0.000073500945,0.00024771236,0.000076695695,0.00037875958],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99733067,0.00026574542,0.0009913751,0.00077620405,0.00010484787,0.00053116394],"domain_scores_gemma":[0.99709165,0.001370433,0.0004924023,0.00081811694,0.000023920122,0.00020347402],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0022901192,0.00036399765,0.0006226333,0.0003404704,0.0003674682,0.0011674151,0.000724858,0.00017521597,0.00013895708],"category_scores_gemma":[0.0007478168,0.00028356392,0.00017845062,0.00043253368,0.00017439824,0.000853102,0.00084440707,0.0013388701,0.0007419577],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004689592,0.00046064734,0.9188159,0.0006005126,0.00052618,0.00024358326,0.0005994393,0.006192146,0.00018944356,0.017948246,0.004577436,0.049377494],"study_design_scores_gemma":[0.0034831697,0.0015612168,0.4501021,0.00064259354,0.000120950746,0.00024716783,0.00020671154,0.024318824,0.0050740936,0.45222148,0.059791118,0.0022305758],"about_ca_topic_score_codex":0.0001151525,"about_ca_topic_score_gemma":0.0000056830395,"teacher_disagreement_score":0.46871382,"about_ca_system_score_codex":0.00012481866,"about_ca_system_score_gemma":0.000046029916,"threshold_uncertainty_score":0.9999617},"labels":[],"label_agreement":null},{"id":"W3125812713","doi":"","title":"The market valuation of environmental capital expenditures by pulp and paper companies","year":2000,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"","keywords":"Valuation (finance); Capital expenditure; Business; Valuation effects; Capitalization; Environmental pollution; Natural resource economics; Economics; Finance; Environmental protection","score_opus":0.017926957961960848,"score_gpt":0.161646248310338,"score_spread":0.14371929034837716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125812713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9486875,0.0014897272,0.00018546551,0.00019314044,0.00009943425,0.00016657978,0.0004258273,0.0000093795725,0.04874296],"genre_scores_gemma":[0.99346894,0.000617834,0.000034121436,0.00002625751,0.00003361706,9.5368e-7,0.000076213844,0.0000062866384,0.005735793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919504,0.000028782804,0.00032239093,0.00022628851,0.00009409398,0.00013340257],"domain_scores_gemma":[0.9994223,0.000105211446,0.00022853148,0.00018896519,0.0000067703854,0.000048231126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017647108,0.00012505519,0.0001969107,0.00003393321,0.00049415237,0.000044693505,0.00018952118,0.00007007315,0.00056689803],"category_scores_gemma":[0.0000100337365,0.00010722294,0.00009709477,0.000025550735,0.0008386001,0.0004975032,0.00005176514,0.00008873132,0.00008760279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007687195,0.0005793878,0.8881091,0.000059797087,0.0006629813,0.000016346083,0.0039102593,0.0023130472,0.000989343,0.06758207,0.019225197,0.015783776],"study_design_scores_gemma":[0.000879615,0.00010634817,0.91031194,0.000019227327,0.000024796193,0.00003383703,0.0010337502,0.000798693,0.00016794703,0.005969434,0.08044096,0.00021347428],"about_ca_topic_score_codex":0.00025172503,"about_ca_topic_score_gemma":0.000019753736,"teacher_disagreement_score":0.061612636,"about_ca_system_score_codex":0.000098645534,"about_ca_system_score_gemma":0.000017835506,"threshold_uncertainty_score":0.6207136},"labels":[],"label_agreement":null},{"id":"W3125857214","doi":"","title":"An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Conjoint analysis; Regional science; Engineering ethics; Management science; Political science; Engineering; Sociology; Economics; Preference","score_opus":0.15176785498903436,"score_gpt":0.3604739833925602,"score_spread":0.20870612840352584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125857214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7988523,0.19015706,0.003439444,0.003893652,0.00030063908,0.0004879312,0.000027785603,0.0000074929253,0.0028336737],"genre_scores_gemma":[0.8055501,0.1937639,0.000363435,0.00005098563,0.0000775181,0.000025336894,0.00002298307,0.000008244048,0.00013750228],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866056,0.00005237848,0.0005225773,0.00019324399,0.00004132909,0.0005299331],"domain_scores_gemma":[0.9995393,0.00002044264,0.00020943757,0.00011466751,0.000043558714,0.00007259425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069160047,0.00006705558,0.00028032484,0.00038995995,0.00008751077,0.000015589942,0.00010941781,0.00004484622,0.000029894536],"category_scores_gemma":[0.00003755022,0.00007077328,0.000057314777,0.00034514494,0.000036750105,0.0001964935,0.00004722799,0.00040452727,0.000010802679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015071854,0.00051359273,0.66114336,0.00038041265,0.0010956659,0.0000011660361,0.0025585105,0.00023526997,0.000011809671,0.25679585,0.0005289639,0.076584674],"study_design_scores_gemma":[0.001852891,0.00091272546,0.23681663,0.00041731744,0.00008976663,0.000054336208,0.012458252,0.0012401646,0.00002223053,0.730395,0.015410704,0.0003299939],"about_ca_topic_score_codex":0.000033172935,"about_ca_topic_score_gemma":0.00048796987,"teacher_disagreement_score":0.47359914,"about_ca_system_score_codex":0.0011682411,"about_ca_system_score_gemma":0.0002292388,"threshold_uncertainty_score":0.305491},"labels":[],"label_agreement":null},{"id":"W3125925151","doi":"","title":"Using a Choice Experiment to Assess the Multiple Values of Land in Agricultural Uses in a Peri-urban Area: An Application to Edmonton, Canada","year":2015,"lang":"en","type":"article","venue":"2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural land; Valuation (finance); Agricultural economics; Population; Geography; Land use; Population growth; Business; Economics","score_opus":0.1014307967052711,"score_gpt":0.2610415286473913,"score_spread":0.15961073194212017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125925151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99546856,0.0006474754,0.0009401899,0.0003455897,0.00023809755,0.00093146064,0.0005359431,0.00002299908,0.0008696616],"genre_scores_gemma":[0.9975879,0.0000080845875,0.0014946867,0.00036933742,0.00017886584,0.0001831786,0.00007979654,0.000041854255,0.000056277117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754757,0.000090962356,0.0011049822,0.0006167898,0.00016786865,0.00047184853],"domain_scores_gemma":[0.9986729,0.000072554416,0.00046682687,0.00042138668,0.000071597424,0.0002947103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012394313,0.00030818328,0.0005998483,0.00019416543,0.00010034164,0.00006266621,0.0003270833,0.00011549242,0.000031452153],"category_scores_gemma":[0.00033964784,0.00027330604,0.000067491375,0.00031260346,0.000052310123,0.00033696037,0.00013995926,0.00018001521,0.0001219222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007666757,0.00026130673,0.9323368,0.000028274279,0.000026009297,0.0000024264373,0.009562589,0.045075793,0.0032490476,0.00014500506,0.008945201,0.00029086004],"study_design_scores_gemma":[0.0018442095,0.00028003,0.9339507,0.000129414,0.000017580116,0.0000055662404,0.008889588,0.022084026,0.0035552094,0.00028095636,0.028118873,0.000843813],"about_ca_topic_score_codex":0.293016,"about_ca_topic_score_gemma":0.3597404,"teacher_disagreement_score":0.066724405,"about_ca_system_score_codex":0.0010748872,"about_ca_system_score_gemma":0.00010160377,"threshold_uncertainty_score":0.9999719},"labels":[],"label_agreement":null},{"id":"W3126025593","doi":"","title":"The Efficiency of Direct Public Involvement in Environmental Policymaking: An Experimental Test","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Donner Canadian Foundation; University of Canterbury","keywords":"Negotiation; Public good; Equity (law); Test (biology); Bargaining problem; Pareto principle; Set (abstract data type); Microeconomics; Payment; Economics; Pareto efficiency; Cash; Public economics; Axiom; Business; Actuarial science; Political science; Computer science; Operations management; Finance; Law","score_opus":0.1327602881749571,"score_gpt":0.2991811035949705,"score_spread":0.1664208154200134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126025593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93640625,0.0014046286,0.000001462162,0.0001804663,0.0002842341,0.00083465804,0.00022368564,0.000013766547,0.06065085],"genre_scores_gemma":[0.97826785,0.02040514,0.000106644125,0.00005014467,0.0001099961,0.00035031312,0.00012184142,0.00006735248,0.00052073994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99604297,0.0001521289,0.0016524657,0.0011425739,0.00012527067,0.00088461733],"domain_scores_gemma":[0.9975759,0.00040984308,0.00065405155,0.0011750608,0.000007788362,0.00017736314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028616877,0.00036372588,0.0007233418,0.00070281525,0.0002674189,0.00012469027,0.0010404104,0.00035145713,0.00017695235],"category_scores_gemma":[0.00022257112,0.00040663374,0.00020441978,0.00012968048,0.0007899294,0.0002673595,0.0011098195,0.00091020175,0.000061498715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049494145,0.0025528506,0.9687878,0.000051425446,0.00007220039,0.000010871337,0.002913185,0.0077058664,0.00046578087,0.0042964406,0.000033854616,0.01306022],"study_design_scores_gemma":[0.004567348,0.0014310768,0.8550194,0.00021409268,0.000008997136,0.000020945765,0.010795631,0.07936293,0.0045598135,0.008350115,0.033167765,0.0025019143],"about_ca_topic_score_codex":0.00046218128,"about_ca_topic_score_gemma":0.00040258595,"teacher_disagreement_score":0.11376844,"about_ca_system_score_codex":0.0031965727,"about_ca_system_score_gemma":0.00015694798,"threshold_uncertainty_score":0.99983853},"labels":[],"label_agreement":null},{"id":"W3126098523","doi":"","title":"How do Land Markets Anticipate Regulatory Change? Evidence from Canadian Conservation Policy","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Anticipation (artificial intelligence); Lease; Natural resource economics; Economics; Value (mathematics); Land use, land-use change and forestry; Business; Land use; Public economics; Monetary economics; Finance; Ecology","score_opus":0.18559232971262518,"score_gpt":0.30014302897684586,"score_spread":0.11455069926422068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126098523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9565057,0.0018563867,0.0000109421,0.0143897105,0.0007374414,0.0010207053,0.0013113564,0.00002804432,0.02413968],"genre_scores_gemma":[0.9703502,0.024032174,0.000194728,0.00053498516,0.000849867,0.0003978258,0.00020029131,0.00009237238,0.0033475372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963708,0.00017284071,0.0009210686,0.0014281734,0.00009231676,0.0010148188],"domain_scores_gemma":[0.9972004,0.00041897778,0.0005773094,0.0013300135,0.000040549465,0.00043273417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002715324,0.00040094097,0.0007766347,0.0012686355,0.00020395653,0.00040768567,0.0007580747,0.00068818673,0.00045267082],"category_scores_gemma":[0.00073822006,0.00048235676,0.0001887509,0.00012556971,0.0003509944,0.0006367881,0.000613862,0.00080640375,0.0003083262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046384408,0.000038562102,0.96006054,0.000075037984,0.00011057812,0.000012830299,0.00045606747,0.00014027495,0.000020903311,0.0028487535,0.00029421347,0.035895865],"study_design_scores_gemma":[0.00060560636,0.000036799916,0.9356231,0.00049429486,0.0000065018226,0.0000021354488,0.00011379407,0.0039683934,0.000039787188,0.031172205,0.027290361,0.00064703915],"about_ca_topic_score_codex":0.09167876,"about_ca_topic_score_gemma":0.06457831,"teacher_disagreement_score":0.035248827,"about_ca_system_score_codex":0.004824444,"about_ca_system_score_gemma":0.0005683182,"threshold_uncertainty_score":0.99976283},"labels":[],"label_agreement":null},{"id":"W3126658562","doi":"","title":"Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models","year":2018,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Estimator; Discrete choice; Instrumental variable; Econometrics; Monte Carlo method; Consistency (knowledge bases); Computer science; Mathematical optimization; Mathematics; Statistics; Artificial intelligence","score_opus":0.09346259646133999,"score_gpt":0.32780699407870884,"score_spread":0.23434439761736886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126658562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97060305,0.0001899734,0.00068665174,0.00028852103,0.00046340178,0.0006826301,0.0001750477,0.000033156735,0.026877541],"genre_scores_gemma":[0.9915425,0.0008547502,0.0047341185,0.00009068722,0.0002423532,0.00014097463,0.00008991605,0.000067091816,0.002237572],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764055,0.000036993468,0.0007786256,0.0008048009,0.000050310813,0.00068873673],"domain_scores_gemma":[0.9987417,0.00023893436,0.00026313312,0.0005689144,0.00002819547,0.00015913084],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012225974,0.00022852671,0.0004329171,0.00034202766,0.00032134764,0.00007486878,0.0004032361,0.00020326333,0.0002677243],"category_scores_gemma":[0.00024315753,0.0002540805,0.00014347408,0.00010874748,0.0003631692,0.00054076954,0.00018076328,0.0002948495,0.00015809167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067019905,0.0003112704,0.57940435,0.00026484186,0.00033627343,0.000007294436,0.002437633,0.06411229,0.00046553268,0.0912088,0.0006283599,0.2601531],"study_design_scores_gemma":[0.001136893,0.00020373808,0.047048017,0.000037054564,0.0000031751408,0.000003442715,0.00016183553,0.9018632,0.00008433064,0.0415158,0.007576845,0.0003656609],"about_ca_topic_score_codex":0.000100351135,"about_ca_topic_score_gemma":0.00020539273,"teacher_disagreement_score":0.8377509,"about_ca_system_score_codex":0.00088218093,"about_ca_system_score_gemma":0.00004429511,"threshold_uncertainty_score":0.9999911},"labels":[],"label_agreement":null},{"id":"W3127111931","doi":"","title":"Stated Preference Data & Alogit","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Respondent; Preference; Computer science; Ranking (information retrieval); Mixed logit; Set (abstract data type); Revealed preference; Software; Logit; Data set; Econometrics; Survey data collection; Process (computing); Choice set; Data mining; Operations research; Statistics; Logistic regression; Information retrieval; Economics; Machine learning; Mathematics; Artificial intelligence","score_opus":0.2531043014201273,"score_gpt":0.23133070140743364,"score_spread":0.021773600012693656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127111931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.882725,0.0081243925,0.08362769,0.010466861,0.00032750948,0.0002499351,0.00023692468,0.00006945309,0.014172225],"genre_scores_gemma":[0.9937209,0.004638012,0.00019713507,0.00055898324,0.00022120992,0.0000019085758,0.00008310984,0.000016826842,0.0005619112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983593,0.000014990028,0.00039963532,0.00031873846,0.000029192963,0.0008781286],"domain_scores_gemma":[0.9993856,0.000012857856,0.00025216368,0.00025210896,0.000005371821,0.00009188343],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009535183,0.000099990546,0.000184065,0.000037777543,0.000094537296,0.000052807853,0.00053387013,0.00004786742,0.00055050745],"category_scores_gemma":[0.00007145193,0.000112138674,0.000040300372,0.00007543505,0.000027437794,0.0004793089,0.00012263343,0.000676428,0.00179683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066031615,0.00011469881,0.254321,0.000013966802,0.0003780426,0.0000032230464,0.00061569765,0.0007500454,0.00010079838,0.7224131,0.0044355267,0.01678784],"study_design_scores_gemma":[0.0020074325,0.00063408597,0.06648191,0.0000093177005,0.000028506889,0.00008174104,0.0012097416,0.01895802,0.000042502237,0.8489348,0.060977463,0.00063443574],"about_ca_topic_score_codex":0.00005257551,"about_ca_topic_score_gemma":0.000045930406,"teacher_disagreement_score":0.1878391,"about_ca_system_score_codex":0.00039300238,"about_ca_system_score_gemma":0.00015755638,"threshold_uncertainty_score":0.9989804},"labels":[],"label_agreement":null},{"id":"W3127996941","doi":"10.1155/2021/6676148","title":"Willingness to Pay for Hexanal Technology among Banana Farmers in Meru County, Kenya","year":2021,"lang":"en","type":"article","venue":"International Journal of Food Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Hexanal; Business; Willingness to pay; Empowerment; Agricultural science; Socioeconomics; Supply chain; Agricultural economics; Environmental health; Marketing; Economics; Economic growth; Food science; Medicine; Environmental science","score_opus":0.05539256585437408,"score_gpt":0.25562381040873006,"score_spread":0.20023124455435598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127996941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98272145,0.00021490567,0.012261042,0.0028500264,0.0011538825,0.00006707488,0.000041441934,0.0000027736237,0.00068739476],"genre_scores_gemma":[0.99726087,0.000068261295,0.0022002985,0.0002821251,0.00008285254,0.0000055425776,0.0000018745827,0.000005572652,0.00009263197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896246,0.000004393124,0.0005454365,0.00021632365,0.000106702064,0.00016468605],"domain_scores_gemma":[0.9993336,0.000030474923,0.000340177,0.00009161923,0.0001385929,0.000065523855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009329409,0.00006537214,0.00017452337,0.00048611462,0.000049754453,0.00006584935,0.0005192623,0.000039250728,0.00008401415],"category_scores_gemma":[0.00027708587,0.000066306224,0.000065866174,0.00033078523,0.00014798647,0.00045336454,0.00007550114,0.00009977842,0.0000195937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017409062,0.00007868593,0.94982326,0.00000266569,0.000041284195,0.000010425674,0.00021092249,0.0045767324,0.001261377,0.040272817,0.00008610366,0.0036183372],"study_design_scores_gemma":[0.0013226467,0.00031174926,0.9206423,0.000068087604,0.0000063763086,0.00007259628,0.0008617407,0.0044346945,0.008581661,0.054526787,0.008905855,0.00026546],"about_ca_topic_score_codex":0.000019824853,"about_ca_topic_score_gemma":0.00006173736,"teacher_disagreement_score":0.029180896,"about_ca_system_score_codex":0.0004011476,"about_ca_system_score_gemma":0.00009368249,"threshold_uncertainty_score":0.27038893},"labels":[],"label_agreement":null},{"id":"W3132065848","doi":"10.1111/cobi.13720","title":"Valuing high‐seas ecosystem conservation","year":2021,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Willingness to pay; Ecosystem services; Willingness to accept; Business; Ecosystem; Environmental resource management; Contingent valuation; Natural resource economics; Public economics; Economics; Ecology","score_opus":0.12646260445010146,"score_gpt":0.22511763561342152,"score_spread":0.09865503116332006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132065848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97605795,0.00072286534,0.009264038,0.0073610037,0.0007868272,0.00013534905,0.00012699785,0.000050660172,0.0054943133],"genre_scores_gemma":[0.9927256,0.00015105806,0.0014358714,0.003808282,0.000113237154,0.000035496694,0.0005778633,0.000015495745,0.0011371113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874896,0.000056358906,0.0005902889,0.00039885662,0.00001640906,0.00018914897],"domain_scores_gemma":[0.9992343,0.000096230746,0.0003167118,0.00026340858,0.000041271865,0.000048038648],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00046717003,0.00011516879,0.00027222207,0.000082510436,0.000112961054,0.00003568121,0.000096135926,0.00014961914,0.0016904536],"category_scores_gemma":[0.00018121256,0.0001484957,0.000066340384,0.00013486264,0.000045436966,0.00020267647,0.00005034414,0.00007983087,0.0016699266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035026653,0.000022946482,0.62749976,0.000010575068,0.000025855563,0.000001100853,0.000044067936,0.000038292423,0.000934832,0.3697588,0.0013824726,0.00027778585],"study_design_scores_gemma":[0.00083817955,0.000043787553,0.810917,0.000013273651,0.000008856081,0.000013100886,0.00010436516,0.0057508675,0.001378527,0.07453627,0.10611053,0.00028522158],"about_ca_topic_score_codex":0.00028582365,"about_ca_topic_score_gemma":0.00016475387,"teacher_disagreement_score":0.29522252,"about_ca_system_score_codex":0.00016184256,"about_ca_system_score_gemma":0.000036640435,"threshold_uncertainty_score":0.99922216},"labels":[],"label_agreement":null},{"id":"W3132625123","doi":"10.1111/ssqu.12920","title":"Care to Wager Again? An Appraisal of Paul Ehrlich's Counterbet Offer to Julian Simon, Part 2: Critical Analysis","year":2021,"lang":"en","type":"article","venue":"Social Science Quarterly","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University; University of Toronto","funders":"","keywords":"Timeline; Proxy (statistics); Critical appraisal; Relevance (law); Positive economics; Balance (ability); Economics; Perspective (graphical); Welfare; Period (music); Psychology; History; Law; Statistics; Political science; Philosophy; Medicine; Computer science","score_opus":0.05470053620252566,"score_gpt":0.30071383665371676,"score_spread":0.2460133004511911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132625123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98651,0.0000516503,0.0024504415,0.0015863067,0.00042644356,0.00011286945,0.0002615736,0.000014948813,0.008585761],"genre_scores_gemma":[0.9981143,0.000001326668,0.0005804403,0.0009359809,0.00016333106,0.00002005444,0.00003937087,0.000010298801,0.0001349074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983842,0.000029270475,0.00048170678,0.00061325,0.00011934479,0.00037225994],"domain_scores_gemma":[0.99924695,0.000041237137,0.000102196354,0.00029519343,0.00007388122,0.00024053034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062814885,0.0001216553,0.00036970212,0.000214779,0.0002557656,0.000136556,0.00030203158,0.00007187628,0.0005785974],"category_scores_gemma":[0.00010513682,0.00015111557,0.00014565718,0.0009769192,0.00022714933,0.00045707152,0.000033215583,0.00007135373,0.0002879736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046831035,0.0006745146,0.686745,0.000053250962,0.00026585534,0.00001684523,0.13847022,0.00069632375,0.0028010912,0.12484469,0.00426209,0.04112332],"study_design_scores_gemma":[0.0003268868,0.0006382132,0.9512029,0.000009542458,0.0000765869,5.5724405e-7,0.034730326,0.0008479072,0.0006206632,0.0022408045,0.008750471,0.00055513455],"about_ca_topic_score_codex":0.00019217648,"about_ca_topic_score_gemma":0.00030988952,"teacher_disagreement_score":0.26445794,"about_ca_system_score_codex":0.00022132599,"about_ca_system_score_gemma":0.0000476929,"threshold_uncertainty_score":0.6335236},"labels":[],"label_agreement":null},{"id":"W3132788963","doi":"10.1016/j.jet.2021.105221","title":"Pairwise normalization: A neuroeconomic theory of multi-attribute choice","year":2021,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pairwise comparison; Normalization (sociology); Perception; Diversification (marketing strategy); Valuation (finance); Econometrics; Computer science; Mathematical economics; Psychology; Mathematics; Artificial intelligence; Economics; Business; Marketing","score_opus":0.091708549112792,"score_gpt":0.23485804773379176,"score_spread":0.14314949862099977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132788963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746603,0.0048314147,0.014884355,0.00028630588,0.0014021298,0.00011234376,0.00014674131,0.000010321214,0.003666121],"genre_scores_gemma":[0.99551105,0.0008380054,0.00091405935,0.00037598988,0.00028856285,0.0000038662565,0.000017407014,0.000038742262,0.0020123029],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99757993,0.00013889195,0.0017284753,0.00029388527,0.000024732415,0.00023411185],"domain_scores_gemma":[0.9971437,0.0003580434,0.0019621183,0.0003749146,0.00003819073,0.0001230269],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023183622,0.000190925,0.00069669844,0.00022790847,0.00006771187,0.00004255395,0.00032416213,0.00011232502,0.0041704215],"category_scores_gemma":[0.00025539382,0.00022878477,0.00037726396,0.000061440536,0.00012574122,0.0006448725,0.00009534867,0.00019818601,0.0005456195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083307714,0.00031332433,0.47260457,0.000054875294,0.00045629038,0.000016673022,0.0006300125,0.013819776,0.00030676025,0.5087129,0.00092479796,0.002076714],"study_design_scores_gemma":[0.0076131504,0.00038585582,0.70807606,0.00010648912,0.00017195093,0.00039123613,0.0016486465,0.0033724336,0.006482928,0.24208765,0.028636405,0.0010271886],"about_ca_topic_score_codex":0.000009568504,"about_ca_topic_score_gemma":0.000010486276,"teacher_disagreement_score":0.26662526,"about_ca_system_score_codex":0.0003453888,"about_ca_system_score_gemma":0.000108913715,"threshold_uncertainty_score":0.9967399},"labels":[],"label_agreement":null},{"id":"W3134050949","doi":"10.1016/j.tra.2021.02.004","title":"MPG, fuel costs, or savings? Exploring the role of information framing in consumer valuation of fuel economy using a choice experiment","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Valuation (finance); Framing (construction); Economy; Economics; Willingness to pay; Business; Microeconomics; Engineering; Finance","score_opus":0.3675857203043741,"score_gpt":0.38665303550258284,"score_spread":0.019067315198208756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134050949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886143,0.002253577,0.0006510012,0.0007923745,0.000047773425,0.00038084405,0.00006785672,0.0000048712295,0.0071873707],"genre_scores_gemma":[0.996415,0.0023640287,0.00086325203,0.00012563479,0.000039437116,0.000090376656,0.00005659247,0.000008096247,0.000037582835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986598,0.00015094399,0.0007409174,0.00017134116,0.000088597,0.00018842274],"domain_scores_gemma":[0.9982359,0.0010464215,0.0004095793,0.00016881421,0.00009312324,0.000046180066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022682543,0.000082422535,0.00019629463,0.0002584988,0.0000882091,0.000047836427,0.000076528035,0.00005369171,0.00015649643],"category_scores_gemma":[0.0010056159,0.00008442983,0.000035004836,0.0003351618,0.00010414034,0.0019379338,0.000014802226,0.00016879126,0.000018735871],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006415385,0.00053018995,0.35825664,0.000783381,0.00024320568,0.0000037391717,0.0740178,0.006089952,0.0020205562,0.5396843,0.000043669952,0.017685028],"study_design_scores_gemma":[0.0030349575,0.0002297509,0.6939848,0.00025914627,0.000053583415,0.000010017498,0.053135518,0.014211534,0.008186338,0.026053833,0.20039299,0.00044751592],"about_ca_topic_score_codex":0.006432135,"about_ca_topic_score_gemma":0.00051764183,"teacher_disagreement_score":0.51363045,"about_ca_system_score_codex":0.00018828489,"about_ca_system_score_gemma":0.0001467948,"threshold_uncertainty_score":0.9723507},"labels":[],"label_agreement":null},{"id":"W3135333255","doi":"10.1016/j.reseneeco.2021.101240","title":"Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments","year":2021,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Bundesministerium für Bildung und Forschung; University of Alberta","keywords":"Renewable energy; Externality; Economics; Mixed logit; Discrete choice; Welfare; Environmental economics; Willingness to pay; Logit; Microeconomics; Econometrics; Natural resource economics; Public economics; Logistic regression; Computer science; Ecology","score_opus":0.11511360133429782,"score_gpt":0.24080106561645315,"score_spread":0.12568746428215533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135333255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98191565,0.00427944,0.00085521716,0.00008314141,0.00006201514,0.00001909571,0.00005485669,0.000006116576,0.012724438],"genre_scores_gemma":[0.9950702,0.0022109484,0.0005242871,0.00011666962,0.00003676988,0.000020513178,0.00012737198,0.000019028468,0.0018742168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866825,0.000016246864,0.0007874701,0.00032174255,0.000014833651,0.00019147298],"domain_scores_gemma":[0.9992361,0.00006409902,0.0003856616,0.00024909296,0.00001018693,0.000054855118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020059956,0.0001254351,0.00039269208,0.00015128432,0.000056315228,0.000022043108,0.00011973433,0.000091507856,0.0001606674],"category_scores_gemma":[0.000016084592,0.0001695566,0.000060879207,0.000084466876,0.00004909152,0.00015805023,0.0001059613,0.000037787304,0.0000042563256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008685976,0.000088668145,0.9494029,0.000028717111,0.00006366798,4.356396e-7,0.00048649547,0.006936942,0.00022904912,0.04101985,0.0001362478,0.0015982841],"study_design_scores_gemma":[0.001988177,0.00005645012,0.63123286,0.00010154839,0.000015815276,0.000012065887,0.0018686285,0.0056876238,0.046631895,0.0078022676,0.30393234,0.00067036453],"about_ca_topic_score_codex":0.001923329,"about_ca_topic_score_gemma":0.0019915386,"teacher_disagreement_score":0.31817013,"about_ca_system_score_codex":0.00009438046,"about_ca_system_score_gemma":0.000027533386,"threshold_uncertainty_score":0.69143176},"labels":[],"label_agreement":null},{"id":"W3135430209","doi":"10.2139/ssrn.3547563","title":"The Dynamic Efficiency in Resource Allocation: Evidence from Vehicle License Lotteries in Beijing","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Beijing; License; Resource allocation; Resource (disambiguation); Computer science; Business; Environmental economics; China; Econometrics; Economics; Geography; Computer network","score_opus":0.03989082419608844,"score_gpt":0.21313885875018168,"score_spread":0.17324803455409324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135430209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720576,0.013466788,0.002414214,0.011629416,0.000063086765,0.00009631507,0.0000027694675,0.0000072894813,0.00026254548],"genre_scores_gemma":[0.9919179,0.0074349404,0.00003420025,0.00039147722,0.00007101507,0.0000071002564,0.0000028810337,0.00001285797,0.00012762522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984382,0.00004362471,0.00051602913,0.00024050496,0.000038128972,0.00072352425],"domain_scores_gemma":[0.99948996,0.000116631956,0.00022123716,0.00012646156,0.000003754761,0.000041979703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014864203,0.00009296995,0.00015844773,0.00005817246,0.00014116157,0.00007423369,0.0002741462,0.000046884004,0.00004798127],"category_scores_gemma":[0.00014924236,0.00009294513,0.000046980454,0.00015840231,0.000047813453,0.0002989464,0.000045348497,0.0007025362,0.00022131737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012548859,0.000067947585,0.9247172,0.000006217034,0.000043182255,0.0000042263264,0.003602781,0.010823206,0.00042739869,0.04641163,0.000054036762,0.013716676],"study_design_scores_gemma":[0.0015662464,0.00033777973,0.7821389,0.0000848157,0.000008409831,0.00001815536,0.0071234233,0.106384,0.00005015598,0.09761661,0.004222519,0.00044899294],"about_ca_topic_score_codex":0.00018068921,"about_ca_topic_score_gemma":0.0015862545,"teacher_disagreement_score":0.14257832,"about_ca_system_score_codex":0.001117795,"about_ca_system_score_gemma":0.00010906003,"threshold_uncertainty_score":0.37901923},"labels":[],"label_agreement":null},{"id":"W3135849975","doi":"10.1007/s10640-021-00546-0","title":"WTP or WTA: A Means of Determining the Appropriate Welfare Measure of Positive and Negative Changes When Preferences are Reference Dependent","year":2021,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Foundation for Science and Technology Development","keywords":"Economics; Welfare; Measure (data warehouse); Status quo; Value (mathematics); Willingness to accept; Econometrics; Willingness to pay; Public economics; Microeconomics; Statistics; Mathematics; Computer science","score_opus":0.067169089008411,"score_gpt":0.18576428487736882,"score_spread":0.11859519586895782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135849975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99468756,0.0012957951,0.000030212892,0.00055163424,0.000041526873,0.00020003306,0.00056476233,0.000004072091,0.0026244274],"genre_scores_gemma":[0.9971516,0.0018631155,0.0003189373,0.00010966432,0.000027544322,0.000017793662,0.000040680756,0.000016979704,0.00045369015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890846,0.000045300225,0.00044155217,0.00040841918,0.000035438017,0.00016081658],"domain_scores_gemma":[0.99906796,0.0000871549,0.0005730484,0.00020671677,0.000004403472,0.00006070401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002859847,0.0001733655,0.00040155495,0.000047637095,0.00014897255,0.000029138795,0.00012908454,0.00011018377,0.0003300259],"category_scores_gemma":[0.000025210102,0.00014539697,0.00004689207,0.00002058992,0.00030646464,0.000128555,0.00021947031,0.00013099393,0.000010785284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002220983,0.0002831662,0.94876826,0.00011729785,0.00037922166,0.000003600404,0.010644124,0.00040813326,0.00037933688,0.0055888887,0.000025623676,0.033180226],"study_design_scores_gemma":[0.001031054,0.00020106476,0.979384,0.000047256617,0.000041046722,0.000013391784,0.010240167,0.0005580498,0.0031183716,0.0030589765,0.0020199902,0.00028664625],"about_ca_topic_score_codex":0.000066203196,"about_ca_topic_score_gemma":0.00023223022,"teacher_disagreement_score":0.03289358,"about_ca_system_score_codex":0.000080592865,"about_ca_system_score_gemma":0.0000075685543,"threshold_uncertainty_score":0.59291166},"labels":[],"label_agreement":null},{"id":"W3138387265","doi":"10.1007/s10018-021-00304-y","title":"How effective are protected natural areas when roads are present? An analysis of the Peruvian case","year":2021,"lang":"en","type":"article","venue":"Environmental Economics and Policy Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Deforestation (computer science); Amazon rainforest; Forest cover; Geography; Environmental protection; Fauna; Natural resource economics; Socioeconomic status; Agroforestry; Ecology; Environmental science; Economics; Population; Environmental health; Biology","score_opus":0.04350275998635308,"score_gpt":0.22950325749480718,"score_spread":0.1860004975084541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138387265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893773,0.006264422,0.000009685402,0.0028230678,0.0001466043,0.00039800582,0.0007376702,0.000008041499,0.00023516541],"genre_scores_gemma":[0.99558896,0.0026372855,0.00008870249,0.00027496155,0.00012993954,0.00008468372,0.000045603392,0.000023289907,0.0011265784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868846,0.00006662448,0.00042441627,0.0005523368,0.000027053571,0.00024109322],"domain_scores_gemma":[0.9987825,0.00006221076,0.00062476686,0.0004420386,0.000005847525,0.0000826485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020101336,0.00024080796,0.00066879933,0.00017792244,0.00027894715,0.000075886615,0.00013444273,0.00008500182,0.000059751383],"category_scores_gemma":[0.00006040189,0.00023089699,0.00024391184,0.00012697444,0.00032022744,0.0003181986,0.00030126498,0.00013714617,0.000011336847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015491674,0.0001532923,0.9870977,0.000029834386,0.002306872,0.00001563377,0.0031590774,0.001764057,0.000052522497,0.0037934906,0.000052889263,0.0015591701],"study_design_scores_gemma":[0.0005084737,0.000044744527,0.9806302,0.000008975469,0.00019837705,0.000046916644,0.007722033,0.005468452,0.00040240603,0.0021936242,0.0024928995,0.00028288073],"about_ca_topic_score_codex":0.00040828073,"about_ca_topic_score_gemma":0.001160889,"teacher_disagreement_score":0.006467452,"about_ca_system_score_codex":0.00043770627,"about_ca_system_score_gemma":0.000008664197,"threshold_uncertainty_score":0.9415706},"labels":[],"label_agreement":null},{"id":"W3140000213","doi":"10.1017/age.2021.6","title":"Bidding behavior in auctions versus posted prices: comparisons of mean and marginal effects","year":2021,"lang":"en","type":"article","venue":"Agricultural and Resource Economics Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Common value auction; Bidding; Economics; Willingness to pay; Econometrics; Microeconomics; Product (mathematics); Order (exchange); Sample (material); Preference; Incentive; Mathematics","score_opus":0.07385619525692122,"score_gpt":0.22830050451288258,"score_spread":0.15444430925596137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140000213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.919321,0.077320926,0.000004519405,0.0005131721,0.00011336336,0.00025125823,0.000031249147,0.0000064915685,0.0024380337],"genre_scores_gemma":[0.8876425,0.111256346,0.00047492774,0.00017092095,0.000040140483,0.00004431961,0.00010730459,0.000010091844,0.00025343284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998972,0.000021845894,0.0005381634,0.00030999255,0.000012945441,0.0001450395],"domain_scores_gemma":[0.9994479,0.00008107568,0.00027869252,0.00011668636,0.000008379056,0.0000672678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021529388,0.00013043499,0.00048235172,0.00005078554,0.0000652637,0.000026959178,0.000062358034,0.000066558576,0.00007657208],"category_scores_gemma":[0.000027587597,0.00011850313,0.0000770952,0.0001012247,0.00005410928,0.00014677201,0.00007916276,0.00010943591,0.000028860159],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010063607,0.00092572137,0.82619476,0.00676422,0.00060928654,0.000021149775,0.0018120507,0.0014436801,0.00084053894,0.09704238,0.0031476435,0.06109791],"study_design_scores_gemma":[0.00096328853,0.00006897758,0.9775426,0.0004339992,0.000060222523,0.000029052628,0.0003741919,0.00022725586,0.00007880433,0.00009530678,0.019857181,0.00026915624],"about_ca_topic_score_codex":0.000049706152,"about_ca_topic_score_gemma":0.00009428302,"teacher_disagreement_score":0.15134777,"about_ca_system_score_codex":0.00008442459,"about_ca_system_score_gemma":0.000006053606,"threshold_uncertainty_score":0.48324174},"labels":[],"label_agreement":null},{"id":"W3140923838","doi":"10.1111/csp2.425","title":"Heterogeneous consumer preferences for local community involvement in nature‐based tourism drive triple‐bottom‐line gains","year":2021,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Commission on Research, Science and Technology; United States Agency for International Development","keywords":"Tourism; Preference; Geography; Marketing; Local community; Wildlife; Business; Value (mathematics); Choice modelling; Economics; Political science; Ecology","score_opus":0.2499914757183041,"score_gpt":0.330168545585496,"score_spread":0.08017706986719192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140923838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749211,0.001054705,0.015240496,0.006243678,0.00025507613,0.0003662275,0.00005495844,0.000011067203,0.0018526964],"genre_scores_gemma":[0.98643637,0.00027431527,0.004012906,0.0090266485,0.000017778173,0.000063006206,0.000053077314,0.0000058186474,0.00011009161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988943,0.00010910786,0.00041734971,0.00032401795,0.00007232305,0.00018291398],"domain_scores_gemma":[0.9983651,0.0008976979,0.00029820114,0.00024010912,0.00013378552,0.000065124295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037211454,0.00009556741,0.0001810134,0.0001297694,0.0003185892,0.00012634177,0.0001562925,0.000095015195,0.00007764683],"category_scores_gemma":[0.0023089286,0.000111768466,0.000027753527,0.000300374,0.00031651874,0.0008824452,0.00006481392,0.00026378827,0.000026650237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004926078,0.0017881782,0.8767924,0.00022141899,0.00012256934,0.000021128144,0.0052212826,0.004590105,0.0031577798,0.084569775,0.0036871044,0.019335689],"study_design_scores_gemma":[0.006393628,0.00062831555,0.5714251,0.00009467251,0.000059825656,0.00004108565,0.010169095,0.21617496,0.015032708,0.047994956,0.13092835,0.0010573121],"about_ca_topic_score_codex":0.0004459305,"about_ca_topic_score_gemma":0.0004511873,"teacher_disagreement_score":0.3053673,"about_ca_system_score_codex":0.00018930489,"about_ca_system_score_gemma":0.00020254581,"threshold_uncertainty_score":0.45577857},"labels":[],"label_agreement":null},{"id":"W3141103143","doi":"","title":"Do Pilot and Demonstration Projects Work","year":2018,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Externality; Work (physics); Variation (astronomy); Difference in differences; Mechanism (biology); Business; Significant difference; Industrial organization; Marketing; Knowledge management; Computer science; Engineering; Economics; Microeconomics; Econometrics; Mathematics","score_opus":0.1526461767574564,"score_gpt":0.29333775031814074,"score_spread":0.14069157356068435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141103143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81885916,0.0001745281,0.000018461946,0.00019875476,0.00014646916,0.0003061291,0.000011303531,0.000014737162,0.18027048],"genre_scores_gemma":[0.9955446,0.0017928194,0.0007118424,0.00009376217,0.00018332162,0.00006856411,0.000010193807,0.000025645539,0.0015692648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984217,0.00003807328,0.000507736,0.00057981943,0.000032420063,0.0004202241],"domain_scores_gemma":[0.9993054,0.00010512775,0.00013692686,0.00033552112,0.000013354983,0.000103625614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593059,0.0001308724,0.00024313356,0.0002959982,0.00018007994,0.000109724795,0.00016538266,0.000102366525,0.00043780226],"category_scores_gemma":[0.000136947,0.00016420735,0.00003527493,0.00013629839,0.00037443227,0.0002875692,0.00011619161,0.00022980761,0.0002886046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006944443,0.00012266952,0.89901155,0.000012805555,0.000027099099,0.000001823132,0.0005183809,0.00008369642,0.000061288636,0.020457141,0.00012276476,0.079511315],"study_design_scores_gemma":[0.0013618512,0.0006563339,0.95493424,0.000042866926,0.0000027407993,0.000009725969,0.00066263374,0.004371899,0.00019213042,0.0184696,0.0188243,0.00047167388],"about_ca_topic_score_codex":0.000046917343,"about_ca_topic_score_gemma":0.0000901725,"teacher_disagreement_score":0.17870122,"about_ca_system_score_codex":0.00038413962,"about_ca_system_score_gemma":0.000031988377,"threshold_uncertainty_score":0.6696181},"labels":[],"label_agreement":null},{"id":"W3141251312","doi":"10.1093/restud/rdac064","title":"Optimal Environmental Targeting in the Amazon Rainforest","year":2022,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; University of Toronto","funders":"","keywords":"Counterfactual thinking; Deforestation (computer science); Amazon rainforest; Enforcement; Greenhouse gas; Rainforest; Natural resource economics; Reducing emissions from deforestation and forest degradation; Government (linguistics); Economics; Business; Environmental resource management; Climate change; Computer science; Political science; Carbon stock; Ecology","score_opus":0.09736729057486598,"score_gpt":0.2582939633383874,"score_spread":0.1609266727635214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141251312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5832527,0.40739962,0.00000591841,0.0029123386,0.00026788,0.0005331283,0.00010599604,0.000004812,0.0055175405],"genre_scores_gemma":[0.8501098,0.14811064,0.0000562209,0.001258226,0.000054517554,0.00021026262,0.000022714517,0.000010373016,0.00016722479],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870586,0.000076342505,0.0008099272,0.00020967261,0.000029517565,0.00016869977],"domain_scores_gemma":[0.99901474,0.00017339957,0.0005120997,0.0002873967,9.404161e-7,0.000011441137],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002936188,0.000119349344,0.00042897282,0.000046088666,0.00022496004,0.0000076841625,0.0004073531,0.000012399216,0.0012415856],"category_scores_gemma":[0.000045713772,0.00009122282,0.00014173456,0.00004698287,0.00014523072,0.000095104595,0.00027209116,0.00014161986,0.00032349263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056370987,0.000457189,0.6038863,0.0022916864,0.00095109857,0.000006533404,0.022285562,0.04596459,0.00001838037,0.20939629,0.106315725,0.008370263],"study_design_scores_gemma":[0.0021183118,0.0004883532,0.33854333,0.00058688683,0.00012806676,0.00004834183,0.04068013,0.0042951633,0.000027273154,0.019710958,0.59226036,0.0011128365],"about_ca_topic_score_codex":0.000043140688,"about_ca_topic_score_gemma":0.0000037775167,"teacher_disagreement_score":0.48594463,"about_ca_system_score_codex":0.00036732064,"about_ca_system_score_gemma":0.000007142142,"threshold_uncertainty_score":0.9996714},"labels":[],"label_agreement":null},{"id":"W314655775","doi":"","title":"The Effect of Health Status on Willingness to Pay for Morbidity and Mortality Risk Reductions","year":2005,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Health Canada; U.S. Environmental Protection Agency","keywords":"Affect (linguistics); Marginal utility; Health care; Population; Economics; Willingness to pay; Public economics; Actuarial science; Environmental health; Medicine; Psychology; Economic growth; Microeconomics","score_opus":0.047169917600596134,"score_gpt":0.24176163028300837,"score_spread":0.19459171268241224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W314655775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887975,0.00050882134,0.0007519701,0.0013161071,0.00014876679,0.00058050413,0.006244199,0.000033154694,0.0016189694],"genre_scores_gemma":[0.9985477,0.00026788743,0.00033432269,0.00017490904,0.00010429489,0.00006868093,0.00017924674,0.000029773155,0.00029323698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986891,0.00004718746,0.0005925652,0.00033970072,0.000040092862,0.00029134654],"domain_scores_gemma":[0.9989545,0.00025143306,0.00034603113,0.00028435813,0.0000039765955,0.00015970394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008669604,0.00015024199,0.00029892515,0.000057905378,0.0002852853,0.00022880205,0.000137514,0.000055956953,0.000052644802],"category_scores_gemma":[0.0002670668,0.00011557855,0.000105892344,0.00009753016,0.00006680586,0.00088136276,0.0000624735,0.0001505174,0.00037190117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053330896,0.000041542564,0.9723757,0.000022726827,0.00003362892,3.28384e-8,0.000025379124,0.00035581036,0.0000012927738,0.0045422637,0.0006885,0.021859793],"study_design_scores_gemma":[0.00059018895,0.00048528612,0.8342859,0.000016841288,0.000007706333,4.3465778e-7,0.000017681812,0.00044671682,0.0004905533,0.015718436,0.14774926,0.00019096967],"about_ca_topic_score_codex":0.00003245064,"about_ca_topic_score_gemma":0.000006188206,"teacher_disagreement_score":0.14706075,"about_ca_system_score_codex":0.000086502376,"about_ca_system_score_gemma":0.00001599574,"threshold_uncertainty_score":0.47801614},"labels":[],"label_agreement":null},{"id":"W3147476291","doi":"10.21083/ruralreview.v5i1.6592","title":"Assessing Land Use Planning Tools to Mitigate Odour and Lighting Nuisance Related to Cannabis Production","year":2021,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Zoning; Environmental planning; Business; Production (economics); Rural area; Land use; Cannabis; Land-use planning; Environmental resource management; Geography; Political science; Economics; Engineering; Civil engineering","score_opus":0.14470830084163758,"score_gpt":0.29330936936078494,"score_spread":0.14860106851914737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147476291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980994,0.011394701,0.000049209222,0.0058432994,0.00021571014,0.0003676738,0.000008296284,0.000029876379,0.0010972599],"genre_scores_gemma":[0.98310006,0.0014843366,0.0039803023,0.0030083612,0.00012342003,0.000058662725,0.00016397928,0.000031203468,0.008049655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984186,0.000025481922,0.0007247924,0.00041218818,0.000054521137,0.00036437347],"domain_scores_gemma":[0.99933904,0.000032475615,0.00023976625,0.00015761373,0.0000207671,0.00021032197],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052488525,0.0002366373,0.00048215018,0.00014865451,0.00029783088,0.0003632792,0.00007609086,0.000071373855,0.00007320332],"category_scores_gemma":[0.00031473752,0.000255535,0.00004237579,0.00023268966,0.000020443675,0.0008939782,0.0001029385,0.00018026301,0.00012240965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007969689,0.00001245753,0.9745096,0.00019848961,0.000054283795,0.000011011172,0.006040158,0.00034673672,0.00014501117,0.000873199,0.0023974073,0.015403708],"study_design_scores_gemma":[0.00019292097,0.000020694768,0.9049894,0.002412799,0.000012791686,0.00005141614,0.00021805284,0.000020585998,0.00017048817,0.00027454202,0.09125359,0.0003826787],"about_ca_topic_score_codex":0.0027395762,"about_ca_topic_score_gemma":0.0011080785,"teacher_disagreement_score":0.08885619,"about_ca_system_score_codex":0.00047954146,"about_ca_system_score_gemma":0.0001184845,"threshold_uncertainty_score":0.9999897},"labels":[],"label_agreement":null},{"id":"W3148484485","doi":"","title":"State-dependent congestion pricing with reference-dependent preferences","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Toll; Preference; Microeconomics; Revenue; Economics; Expected utility hypothesis; Set (abstract data type); Loss aversion; Econometrics; Computer science; Mathematical economics","score_opus":0.11468819003329332,"score_gpt":0.28491848954201787,"score_spread":0.17023029950872454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148484485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8445389,0.0002615808,0.00006074354,0.00019791634,0.000515112,0.0010717795,0.00031624656,0.000058324375,0.15297936],"genre_scores_gemma":[0.98500174,0.009091949,0.0008542954,0.000059743605,0.00014494633,0.00047869593,0.00023970446,0.000113157155,0.0040157908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953612,0.00013736772,0.0014845013,0.0018499744,0.00017488346,0.0009920932],"domain_scores_gemma":[0.9972275,0.00026471762,0.00089871406,0.0012826502,0.00005868239,0.000267742],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032160156,0.00054144673,0.0009977543,0.0008113782,0.00023319559,0.00035923652,0.00092045416,0.00078709825,0.0009139302],"category_scores_gemma":[0.0001766132,0.0006058852,0.0001276294,0.000104962,0.0003939427,0.00035245207,0.00094665843,0.0031836831,0.0003973305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039720733,0.0008079332,0.73753107,0.00043046076,0.00047465338,0.00004822502,0.0017453976,0.11199722,0.00019026129,0.013766113,0.000042130378,0.13256936],"study_design_scores_gemma":[0.0049607283,0.0010671783,0.84374493,0.00070507114,0.000047262856,0.000051227697,0.0021405546,0.022783134,0.0011422903,0.10277769,0.016757619,0.0038223306],"about_ca_topic_score_codex":0.0010471777,"about_ca_topic_score_gemma":0.0033877473,"teacher_disagreement_score":0.14896357,"about_ca_system_score_codex":0.0018374079,"about_ca_system_score_gemma":0.0002913449,"threshold_uncertainty_score":0.99999934},"labels":[],"label_agreement":null},{"id":"W3151246388","doi":"","title":"Signalling Origin: Consumer Willngness to Pay for Dairy Products with the \"100% Canadian Milk\" Label","year":2015,"lang":"en","type":"article","venue":"2015 Conference, August 9-14, 2015, Milan, Italy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ice cream; Willingness to pay; Business; Labelling; Milk products; Marketing; Agricultural science; Agricultural economics; Food science; Economics; Chemistry; Environmental science","score_opus":0.14158278117476827,"score_gpt":0.25407022855971734,"score_spread":0.11248744738494906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151246388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8901354,0.004558298,0.009169443,0.034564797,0.0037280798,0.0048454623,0.002967194,0.0001811929,0.04985013],"genre_scores_gemma":[0.96416986,0.000066130386,0.001651031,0.0013359217,0.0003144524,0.00030303732,0.00029292094,0.00008153476,0.03178511],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976549,0.00003495829,0.000606385,0.0008295703,0.000118499775,0.00075566134],"domain_scores_gemma":[0.998106,0.00007322449,0.00033544042,0.0006494922,0.00022967388,0.0006061808],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011982687,0.00039323632,0.000564684,0.0002728824,0.00026036592,0.00021957986,0.000575431,0.00019494952,0.00060462375],"category_scores_gemma":[0.00013899086,0.00030632303,0.00007195253,0.00026611792,0.00016738258,0.00048992684,0.00007481047,0.00024712554,0.0026998457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001803906,0.00019035742,0.15298581,0.00009234796,0.00032478763,0.000011011129,0.0029576677,0.000973811,0.00007050667,0.027028227,0.81346226,0.0017228473],"study_design_scores_gemma":[0.0022584782,0.00036124323,0.016363697,0.00004357756,0.00005698083,0.000011353673,0.00072768313,0.0018007134,0.000171244,0.0036011422,0.97369677,0.0009071158],"about_ca_topic_score_codex":0.016029099,"about_ca_topic_score_gemma":0.031762984,"teacher_disagreement_score":0.16023454,"about_ca_system_score_codex":0.0005030657,"about_ca_system_score_gemma":0.00051232724,"threshold_uncertainty_score":0.9999389},"labels":[],"label_agreement":null},{"id":"W3151251631","doi":"","title":"Validity and Reliability of Contingent Valuation and Life Satisfaction Measures of Welfare: An Application to the Value of National Olympic Success","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Contingent valuation; Nonmarket forces; Willingness to pay; Valuation (finance); Reliability (semiconductor); Welfare; Economics; Life satisfaction; Econometrics; Actuarial science; Statistics; Psychology; Mathematics; Social psychology; Microeconomics","score_opus":0.1388290620367668,"score_gpt":0.3210907680171938,"score_spread":0.18226170598042699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151251631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951668,0.00015640017,0.0002631916,0.00093932933,0.0001289877,0.0011094846,0.00025365478,0.000004268926,0.0019779217],"genre_scores_gemma":[0.9967728,0.0024182606,0.00043978763,0.000018506213,0.000052002466,0.00020474881,0.00005533999,0.000018860994,0.000019657897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774784,0.00018023528,0.0011096456,0.0006387895,0.00013620178,0.00018727744],"domain_scores_gemma":[0.99768615,0.00023637131,0.0011343191,0.0007076756,0.00013937593,0.00009612494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063857697,0.00016117231,0.0005495728,0.00028062757,0.00014710188,0.000053665386,0.00032450614,0.0002293466,0.000028148224],"category_scores_gemma":[0.0011177923,0.00017516845,0.000076337725,0.00004712409,0.00035286063,0.00023417882,0.00040050744,0.00029195857,0.0000019852737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045459023,0.00009051702,0.93612593,0.00019333254,0.000033072316,2.3962974e-8,0.000530332,0.030555917,0.00009609165,0.0071064723,0.0000043187806,0.025218518],"study_design_scores_gemma":[0.00032364597,0.00008516539,0.95024014,0.000029921355,0.0000072647754,3.901945e-7,0.00018169888,0.026807373,0.00020831471,0.021748565,0.00023044826,0.00013705654],"about_ca_topic_score_codex":0.0026493554,"about_ca_topic_score_gemma":0.00046495075,"teacher_disagreement_score":0.025081463,"about_ca_system_score_codex":0.00042730532,"about_ca_system_score_gemma":0.00011714779,"threshold_uncertainty_score":0.7143162},"labels":[],"label_agreement":null},{"id":"W3151388212","doi":"10.3389/fevo.2021.648550","title":"Equity – the Bottleneck and the Opportunity","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Equity (law); Sustainability; Poverty; Disadvantaged; Public economics; Context (archaeology); Economics; Sustainable development; Environmental resource management; Business; Development economics; Political science; Economic growth; Ecology; Geography","score_opus":0.054886217785722044,"score_gpt":0.21532143366251627,"score_spread":0.1604352158767942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151388212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766752,0.00712193,0.0022512523,0.0051676026,0.00076100254,0.00012489183,0.000011295662,0.0000050883887,0.007881737],"genre_scores_gemma":[0.99617195,0.0021868527,0.00032391865,0.0005944487,0.000032015807,0.00002064303,0.000008297951,0.0000033867582,0.00065850635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942505,0.00005944394,0.00020393361,0.00017213603,0.000010054029,0.00012940772],"domain_scores_gemma":[0.9997094,0.000050183946,0.0000883528,0.00012077756,0.000003525505,0.000027706796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010021302,0.000054625074,0.00016025317,0.000031414907,0.00017921529,0.000017148835,0.000058770423,0.00007836548,0.00006824128],"category_scores_gemma":[0.00012961846,0.00004369299,0.000023734978,0.000047490135,0.0003171952,0.00010479869,0.00010606008,0.000113941525,0.000018740711],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001407434,0.000014221325,0.89179534,0.0000033412753,0.000014422483,6.072287e-7,0.0001674444,0.00004448846,7.3570294e-7,0.10502726,0.0020114016,0.00090666994],"study_design_scores_gemma":[0.00061793294,0.00000960569,0.8074899,0.0000012266597,0.0000051016796,0.000006284503,0.0003979517,0.0047863033,0.0000017374463,0.18468034,0.00195843,0.00004520435],"about_ca_topic_score_codex":0.00006455677,"about_ca_topic_score_gemma":0.00015104197,"teacher_disagreement_score":0.08430545,"about_ca_system_score_codex":0.000117275114,"about_ca_system_score_gemma":0.000015956393,"threshold_uncertainty_score":0.17817485},"labels":[],"label_agreement":null},{"id":"W3151869553","doi":"10.1002/fee.2336","title":"Predation services: quantifying societal effects of predators and their prey","year":2021,"lang":"en","type":"review","venue":"Frontiers in Ecology and the Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Predation; Ecosystem services; Predator; Wildlife; Ecology; Per capita; Apex predator; Environmental resource management; Geography; Ecosystem; Biology; Population; Economics","score_opus":0.04417427585588773,"score_gpt":0.22259768488847578,"score_spread":0.17842340903258805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151869553","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017606111,0.98024434,0.0006341423,0.000026928788,0.0004915375,0.00079200347,0.00004883049,0.000003922254,0.00015217965],"genre_scores_gemma":[0.018240971,0.9808744,0.0004142886,0.000034143723,0.000023575685,0.00017128217,0.000091763104,0.000022313416,0.00012723137],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998525,0.0001520344,0.00067988987,0.00044551675,0.000018690707,0.00017882921],"domain_scores_gemma":[0.9989154,0.00019640231,0.00060225156,0.0002529785,9.36626e-7,0.00003208069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070089416,0.00024101287,0.0013377697,0.000098157725,0.000081626844,0.000016403801,0.00014470541,0.00029930923,0.000039287846],"category_scores_gemma":[0.000017060556,0.00019658162,0.00016365742,0.000043119457,0.0003299296,0.00010575313,0.00019290108,0.00021144951,0.000014673196],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004043883,0.0005177274,0.45930752,0.02614538,0.002526785,0.0000060552816,0.0072065443,0.0002730898,5.543793e-7,0.023878228,0.00031126963,0.4797864],"study_design_scores_gemma":[0.0095717115,0.00045566482,0.17244026,0.005857182,0.0013854799,0.000043491465,0.0032191377,0.0074223652,0.000023877774,0.039281808,0.7580976,0.002201401],"about_ca_topic_score_codex":0.0000132000605,"about_ca_topic_score_gemma":0.00000503413,"teacher_disagreement_score":0.75778633,"about_ca_system_score_codex":0.00016081317,"about_ca_system_score_gemma":0.000009931522,"threshold_uncertainty_score":0.8016366},"labels":[],"label_agreement":null},{"id":"W3152857424","doi":"","title":"Incorporating time lags and uncertainty in cost-benefit analysis of water quality improvements – a case study of Limfjorden, Denmark","year":2021,"lang":"en","type":"preprint","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; Innovationsfonden","keywords":"Water Framework Directive; Welfare; Quality (philosophy); Cost–benefit analysis; Lead (geology); Economics; Environmental economics; Lead time; Lag; Outcome (game theory); Estimation; Water quality; Public economics; Risk analysis (engineering); Business; Computer science; Microeconomics; Operations management","score_opus":0.1389042345876148,"score_gpt":0.2860055797966691,"score_spread":0.14710134520905427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152857424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98943996,0.0010646782,0.00014877578,0.00007387402,0.000024931553,0.0012288024,0.0004463594,0.000003870335,0.007568732],"genre_scores_gemma":[0.9685918,0.00024484022,0.00017799597,0.0000047546055,0.0000038134938,6.7090747e-7,0.00017767835,0.000013041846,0.030785397],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99752074,0.00051233923,0.00070473115,0.00069888425,0.0002449685,0.00031835632],"domain_scores_gemma":[0.997472,0.00030187587,0.0010693797,0.0008231501,0.00021949179,0.00011409847],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0042181686,0.00021648135,0.0012917273,0.00067860127,0.00032916205,0.000024111683,0.0007811556,0.00022143289,0.07983099],"category_scores_gemma":[0.00005710981,0.00025697108,0.00028218725,0.00067381765,0.0005261264,0.00030460482,0.003042667,0.00040456047,0.0010652998],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006966882,0.012357403,0.19487111,0.0055423165,0.037076246,0.0033339357,0.3939053,0.27052894,0.020485844,0.0015041333,0.04092682,0.012501039],"study_design_scores_gemma":[0.008022987,0.0011681005,0.631245,0.00027645778,0.001477136,0.00001210852,0.3112313,0.041183658,0.0015317715,0.00019428434,0.002599237,0.0010579695],"about_ca_topic_score_codex":0.06165408,"about_ca_topic_score_gemma":0.024418319,"teacher_disagreement_score":0.4363739,"about_ca_system_score_codex":0.0005886236,"about_ca_system_score_gemma":0.00010592013,"threshold_uncertainty_score":0.99998826},"labels":[],"label_agreement":null},{"id":"W3153173594","doi":"10.3390/data6040039","title":"Exploring Inner-City Residents’ and Foreigners’ Commitment to Improving Air Pollution: Evidence from a Field Survey in Hanoi, Vietnam","year":2021,"lang":"en","type":"article","venue":"Data","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Contingent valuation; Stratified sampling; Air pollution; Willingness to pay; Air quality index; Business; Field survey; Perception; Pollution; Socioeconomics; Geography; Environmental planning; Economic growth; Environmental protection; Environmental resource management; Economics; Psychology; Cartography","score_opus":0.5029405464010799,"score_gpt":0.28265426631804397,"score_spread":0.2202862800830359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153173594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928754,0.0013747077,0.0026308638,0.0014847831,0.00020930891,0.00013822627,0.0010779161,0.000008553718,0.00020023563],"genre_scores_gemma":[0.99627674,0.0007047967,0.001415483,0.0008517963,0.00005482177,0.00002670299,0.0005799563,0.000008869389,0.0000808666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988638,0.000035958197,0.0003706808,0.00053864217,0.000029729428,0.00016118446],"domain_scores_gemma":[0.99900085,0.00013080568,0.000098841614,0.0006997512,0.0000053708077,0.00006438661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085730583,0.000092831615,0.0002043952,0.00006802748,0.00006817334,0.000056453562,0.00026493223,0.00004289248,0.00024347435],"category_scores_gemma":[0.0005105743,0.00012092401,0.00001657256,0.00011688637,0.000014968873,0.00092123804,0.0007208556,0.00008988891,0.00012644556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013935753,0.000025787911,0.9950576,0.00000811574,0.000011855966,0.0000036921558,0.00030273324,0.00009590727,0.000049477632,0.0002767921,0.0011714444,0.0029826749],"study_design_scores_gemma":[0.00025507202,0.000027190894,0.9964655,0.000048470978,0.0000029895361,7.106088e-7,0.00016282755,0.001190631,0.00029194055,0.0006397716,0.0007756394,0.00013924914],"about_ca_topic_score_codex":0.012681537,"about_ca_topic_score_gemma":0.0077415793,"teacher_disagreement_score":0.0049399575,"about_ca_system_score_codex":0.00015020039,"about_ca_system_score_gemma":0.00001441717,"threshold_uncertainty_score":0.9938931},"labels":[],"label_agreement":null},{"id":"W3154323374","doi":"10.1111/1477-9552.12428","title":"Spatial clustering of willingness to pay for ecosystem services","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ecosystem services; Willingness to pay; Ecosystem; Geography; Spatial ecology; Environmental resource management; Valuation (finance); Ecology; Environmental science; Economics","score_opus":0.03956207591516392,"score_gpt":0.19480875341701537,"score_spread":0.15524667750185145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154323374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911418,0.0002601626,0.0061074593,0.000681073,0.0010504139,0.00014272303,0.00016020652,0.0000033479257,0.00045281684],"genre_scores_gemma":[0.9945975,0.00023561595,0.004370141,0.00013321005,0.0004116902,0.0000056089903,0.000021632612,0.000012541277,0.00021204863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984816,0.000009121705,0.0011519259,0.00018376215,0.000018229643,0.00015538669],"domain_scores_gemma":[0.9985448,0.000048087877,0.0011253313,0.00011558477,0.00007196015,0.00009421561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003834622,0.000121166435,0.0005120525,0.000060756545,0.000048154558,0.000051213367,0.00018365707,0.000074358664,0.000092639086],"category_scores_gemma":[0.000022707434,0.0000989329,0.00023814928,0.00005205485,0.0000074832055,0.0003564548,0.0000573185,0.000073561794,0.00004333513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002688506,0.0004947276,0.5433306,0.0010545331,0.001084381,0.000006556345,0.004054954,0.41129267,0.0055044554,0.022109212,0.0011973254,0.009601738],"study_design_scores_gemma":[0.0019491867,0.0004085932,0.95682824,0.000148937,0.00005249112,0.00012623942,0.002029961,0.0077163964,0.008111722,0.0029677057,0.019160813,0.0004997409],"about_ca_topic_score_codex":0.000032894877,"about_ca_topic_score_gemma":0.00026347057,"teacher_disagreement_score":0.41349763,"about_ca_system_score_codex":0.00022041841,"about_ca_system_score_gemma":0.000020355541,"threshold_uncertainty_score":0.40343663},"labels":[],"label_agreement":null},{"id":"W3156774319","doi":"10.1017/bpp.2021.14","title":"Does the visual salience of credit card features affect choice?","year":2021,"lang":"en","type":"article","venue":"Behavioural Public Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SGS (Canada); University of Toronto","funders":"","keywords":"Credit card; Salient; Salience (neuroscience); Feature (linguistics); Product (mathematics); Sample (material); Affect (linguistics); Credit card interest; Business; Computer science; Psychology; Artificial intelligence; Finance; Payment; Mathematics; Communication","score_opus":0.09481752876249076,"score_gpt":0.2792260347275353,"score_spread":0.18440850596504454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156774319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98514044,0.00048675368,0.00006456727,0.008006558,0.0004420474,0.00012487064,0.00019482042,0.000021171392,0.0055187573],"genre_scores_gemma":[0.99529207,0.0000889466,0.00008752057,0.00053766003,0.0003318843,0.000024519744,0.00006577711,0.000016004058,0.003555617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989554,0.00003372298,0.0003797333,0.00029124564,0.000053120908,0.00028674176],"domain_scores_gemma":[0.99924886,0.0000668281,0.0002550835,0.00032757642,0.0000179663,0.00008367548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033163748,0.00012813136,0.00025320819,0.000113386894,0.000122862,0.00009686941,0.00026020515,0.00008623402,0.00059711735],"category_scores_gemma":[0.00025536062,0.00008995143,0.00015291116,0.00018486282,0.00014828253,0.00032349277,0.00013434247,0.00013272547,0.00013363453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018468439,0.000085093045,0.93342626,0.0000073914603,0.00002633369,0.0000011903782,0.00025229118,0.000015014051,0.0001400651,0.061409112,0.0022454425,0.0023899586],"study_design_scores_gemma":[0.00025364078,0.000031050095,0.98763275,0.00000414031,0.000008053761,0.000007393351,0.00011095613,0.000070990725,0.0008126316,0.0036582996,0.0072731343,0.00013695906],"about_ca_topic_score_codex":0.005194816,"about_ca_topic_score_gemma":0.00038628897,"teacher_disagreement_score":0.057750814,"about_ca_system_score_codex":0.00016777673,"about_ca_system_score_gemma":0.00006806531,"threshold_uncertainty_score":0.7853042},"labels":[],"label_agreement":null},{"id":"W3157535463","doi":"10.1002/jae.2819","title":"Counterfactual analysis under partial identification using locally robust refinement","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Counterfactual thinking; Robustness (evolution); Computer science; Set (abstract data type); Econometrics; Representation (politics); Focus (optics); Identification (biology); Mathematical optimization; Mathematical economics; Mathematics","score_opus":0.17610558674811383,"score_gpt":0.23773679737598685,"score_spread":0.06163121062787302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157535463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75724906,0.00073956826,0.23744914,0.00015231792,0.00043282454,0.0000697667,0.000046414938,0.0000057539182,0.00385515],"genre_scores_gemma":[0.9946913,0.000398534,0.0042375457,0.00025970282,0.00018204965,0.000003091936,0.000037767106,0.000020488505,0.00016952436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9976334,0.000011826337,0.0016955634,0.00034701702,0.00008125283,0.00023091662],"domain_scores_gemma":[0.9977746,0.0000645049,0.0016805474,0.00029699868,0.00006147747,0.000121860365],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013130752,0.00015590093,0.00060242956,0.0011011403,0.00009796251,0.00015562895,0.00020333812,0.00011317819,0.0021546972],"category_scores_gemma":[0.00005692575,0.00019218824,0.0002935127,0.0011833836,0.00004528004,0.00034126564,0.00006347528,0.00017780274,0.0002647678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043533008,0.0003341395,0.094303764,0.000020196978,0.001554235,0.000006340813,0.00025127243,0.8590315,0.00036516698,0.04249941,0.00029751306,0.001292957],"study_design_scores_gemma":[0.004989676,0.00026079433,0.74032706,0.000023728428,0.0016459646,0.00007583223,0.0033635532,0.1927918,0.0076112733,0.030254968,0.017079074,0.001576247],"about_ca_topic_score_codex":0.00001417394,"about_ca_topic_score_gemma":0.000008624073,"teacher_disagreement_score":0.6662397,"about_ca_system_score_codex":0.00074169424,"about_ca_system_score_gemma":0.000060718423,"threshold_uncertainty_score":0.9987575},"labels":[],"label_agreement":null},{"id":"W3157655266","doi":"10.1139/facets-2020-0085","title":"Free Fallin’? The decline in evidence-based decision-making by Canada’s protected areas managers","year":2021,"lang":"en","type":"article","venue":"FACETS","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo; Vancouver Island University; Alberta Environment and Protected Areas; University of Alberta; University of British Columbia; Wilfrid Laurier University","funders":"","keywords":"Indigenous; Accountability; Traditional knowledge; Value (mathematics); Public relations; Business; Perception; Environmental resource management; Scientific evidence; Evidence-based policy; Political science; Psychology; Ecology; Economics; Medicine","score_opus":0.0694775864689082,"score_gpt":0.22576550419596086,"score_spread":0.15628791772705267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157655266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979875,0.003970317,0.004543481,0.009199546,0.00026373862,0.0003312321,0.00017879992,0.000013783345,0.0016241041],"genre_scores_gemma":[0.9959221,0.00015644806,0.0008190444,0.0026226225,0.000024527626,0.00004315146,0.00002735353,0.00001483071,0.00036993634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989307,0.000027781096,0.00043737478,0.00033785432,0.000057286932,0.00020903636],"domain_scores_gemma":[0.99911785,0.00023731901,0.00016922616,0.0004260819,0.0000092771115,0.000040241302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004526478,0.00011125073,0.00019764437,0.000049168546,0.000088591645,0.00005333476,0.0002883263,0.00006172191,0.00085766823],"category_scores_gemma":[0.0005974653,0.000112023,0.000047527832,0.00014688396,0.000027441973,0.00014417332,0.00010896866,0.00013772836,0.00010503223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071061404,0.0001742629,0.86892843,0.000046171506,0.0000726361,0.000051000796,0.00025760068,0.033445485,0.00021122873,0.0034545646,0.07846593,0.014821595],"study_design_scores_gemma":[0.001362934,0.000028104865,0.89617157,0.00022442648,0.0000073362266,0.0000031553957,0.00020818844,0.02204714,0.00060358195,0.015094126,0.06385118,0.00039828217],"about_ca_topic_score_codex":0.06449224,"about_ca_topic_score_gemma":0.3136914,"teacher_disagreement_score":0.24919918,"about_ca_system_score_codex":0.00047287357,"about_ca_system_score_gemma":0.00012252788,"threshold_uncertainty_score":0.9417374},"labels":[],"label_agreement":null},{"id":"W3160305671","doi":"10.1111/cobi.13759","title":"Social comfort zones for transformative conservation decisions in a changing climate","year":2021,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transformative learning; Climate change; Geography; Environmental resource management; Environmental planning; Environmental ethics; Environmental science; Ecology; Sociology; Biology","score_opus":0.19876686620775705,"score_gpt":0.28979253987318576,"score_spread":0.09102567366542871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160305671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92731994,0.0002345446,0.061841,0.0077496096,0.0002142874,0.00030417566,0.00025104798,0.000020011994,0.002065394],"genre_scores_gemma":[0.99333495,0.00032431772,0.0022193028,0.002838499,0.000052859807,0.00015818054,0.0008638769,0.0000115738385,0.00019643926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988997,0.000026927642,0.00055825966,0.00024571258,0.000010978139,0.00025841742],"domain_scores_gemma":[0.99948037,0.00018196844,0.0002035212,0.00008722265,0.000025746725,0.000021159825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000626256,0.00009140631,0.0002562234,0.00022231153,0.00018644311,0.0000190812,0.00006128878,0.00012575115,0.00014214526],"category_scores_gemma":[0.00012487204,0.00011656965,0.00007338192,0.00023439666,0.000057819427,0.00020554045,0.000028521037,0.000060562896,0.00007948884],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020982543,0.000042442283,0.44309202,0.000010429622,0.000015782429,3.3720593e-7,0.0010005309,0.000026877799,0.0001777491,0.553863,0.00029934084,0.0014505553],"study_design_scores_gemma":[0.002747519,0.000085541134,0.74529165,0.000024984627,0.000010395462,0.0000055553833,0.0015081939,0.028275019,0.00055481185,0.16240847,0.05871021,0.00037765346],"about_ca_topic_score_codex":0.00004128179,"about_ca_topic_score_gemma":0.00018571671,"teacher_disagreement_score":0.3914545,"about_ca_system_score_codex":0.0001121434,"about_ca_system_score_gemma":0.00002371029,"threshold_uncertainty_score":0.47535726},"labels":[],"label_agreement":null},{"id":"W3160824471","doi":"10.1177/0272989x211011606","title":"One Size Does Not Fit All: Financial Incentives Needed to Change Physical Exercise Levels for Different Groups","year":2021,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overweight; Incentive; Percentile; Sample (material); Physical activity; Population; Payment; Quarter (Canadian coin); Intervention (counseling); Psychology; Medicine; Demography; Obesity; Environmental health; Physical therapy; Business; Economics; Statistics; Finance","score_opus":0.19547689848189587,"score_gpt":0.30545594351259897,"score_spread":0.1099790450307031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160824471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94716406,0.00022952582,0.04759455,0.003337327,0.00088864274,0.0004141653,0.00017441812,0.000024700215,0.00017263196],"genre_scores_gemma":[0.9901776,0.00015604842,0.0037878042,0.004789669,0.0006190871,0.0001896154,0.000018474708,0.000028637722,0.0002330697],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99825,0.000018759612,0.0006037478,0.0006021849,0.00017086262,0.000354438],"domain_scores_gemma":[0.9987029,0.0006208994,0.00017193121,0.00027728843,0.00001842943,0.00020858228],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005086673,0.000186039,0.0005700198,0.00008381366,0.0001245583,0.0000712086,0.00025032402,0.00015210951,0.001804967],"category_scores_gemma":[0.0016346787,0.00017491086,0.00020357322,0.00010880772,0.00004712057,0.00018570782,0.00028738557,0.00015218387,0.00031127775],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042383358,0.001511716,0.016455758,0.00012123292,0.000096190044,0.000027325761,0.004237062,0.00006743188,0.00079287123,0.044060387,0.002914513,0.92929167],"study_design_scores_gemma":[0.0028456394,0.0002145232,0.81767064,0.00062455685,0.000041030948,0.0000025733827,0.00032969657,0.014575554,0.0032265356,0.144191,0.015500903,0.000777343],"about_ca_topic_score_codex":0.0000120504965,"about_ca_topic_score_gemma":0.00003427682,"teacher_disagreement_score":0.92851436,"about_ca_system_score_codex":0.00017547145,"about_ca_system_score_gemma":0.00001711346,"threshold_uncertainty_score":0.99910754},"labels":[],"label_agreement":null},{"id":"W3160886639","doi":"10.1007/s40271-021-00519-x","title":"Methods for Conducting Stated Preference Research with Children and Adolescents in Health: A Scoping Review of the Application of Discrete Choice Experiments","year":2021,"lang":"en","type":"review","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; Alberta Bone and Joint Health Institute; University of Calgary","funders":"","keywords":"Psychological intervention; Population; Psychology; Medicine; Applied psychology; Environmental health; Psychiatry","score_opus":0.5940949464529862,"score_gpt":0.4846875032253964,"score_spread":0.10940744322758983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160886639","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017713127,0.9927365,0.0013541795,0.000016213156,0.000031528707,0.003952808,0.00010990823,0.0000014764237,0.000026071526],"genre_scores_gemma":[0.0027237635,0.9933909,0.0031397676,0.00002102965,0.0000066199823,0.0005734215,0.0001217254,0.000018004239,0.0000047480225],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9980444,0.00026685282,0.001126944,0.0003650482,0.000043201755,0.00015359624],"domain_scores_gemma":[0.99815714,0.00013641884,0.0013559893,0.00029717025,0.000024046853,0.00002921973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001611209,0.00012278522,0.0009827275,0.00008930997,0.000048141246,0.0000071937216,0.00013527334,0.000051938398,0.000008862885],"category_scores_gemma":[0.0001690466,0.00009935235,0.0000774816,0.00021173243,0.000061354476,0.00005500743,0.00012163051,0.00013824708,0.0000010833464],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000442999,0.00011679377,0.024173895,0.1920243,0.00006823212,1.2309708e-8,0.00042241573,0.000011303854,7.742459e-7,0.0004367986,0.00001007583,0.78273094],"study_design_scores_gemma":[0.00069690304,0.00026482993,0.008417546,0.9789908,0.00004777567,0.0000019073907,0.00008940385,0.00016493294,0.00005986371,0.00011994726,0.010804725,0.00034137626],"about_ca_topic_score_codex":0.00032457532,"about_ca_topic_score_gemma":0.00001391562,"teacher_disagreement_score":0.7869665,"about_ca_system_score_codex":0.00019439618,"about_ca_system_score_gemma":0.00008089326,"threshold_uncertainty_score":0.40514714},"labels":[],"label_agreement":null},{"id":"W3161561635","doi":"10.2139/ssrn.3847546","title":"Simplifying Bias Correction for Selective Sampling: A Unified Distribution-Free Approach to Handling Endogenously Selected Samples","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Econometrics; Sampling (signal processing); Statistics; Computer science; Mathematics; Detector; Telecommunications","score_opus":0.14257683074591865,"score_gpt":0.24424070464178832,"score_spread":0.10166387389586967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161561635","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29789963,0.0014799786,0.69853383,0.00024221299,0.00041166047,0.00033757472,0.00014822675,0.00003759424,0.00090926845],"genre_scores_gemma":[0.994049,0.0008724551,0.0031374248,0.00012347373,0.0003523913,0.000072159164,0.00046266583,0.000045761313,0.0008846355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99721813,0.00004350289,0.0006636548,0.00051896326,0.00005854467,0.0014972186],"domain_scores_gemma":[0.9989598,0.00016321114,0.00038869237,0.00024881956,0.00011732648,0.0001221457],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016877728,0.00021244242,0.00038887985,0.00014315177,0.0006020344,0.00015282362,0.00024044965,0.00012655853,0.000024170135],"category_scores_gemma":[0.0010047304,0.00026337735,0.00017884084,0.0004457605,0.000023236338,0.0002385371,0.000060839047,0.0007110493,0.000050771287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037761749,0.000930213,0.14308804,0.000058477173,0.0014426918,0.0000015745791,0.0022233014,0.029220091,0.0021498469,0.8024405,0.002512421,0.015555167],"study_design_scores_gemma":[0.0055046794,0.0010204129,0.07045125,0.000050907638,0.00015011957,0.00095479615,0.006453307,0.013836841,0.004773754,0.8787267,0.016591713,0.0014855139],"about_ca_topic_score_codex":0.00014163538,"about_ca_topic_score_gemma":0.0004011392,"teacher_disagreement_score":0.6961494,"about_ca_system_score_codex":0.0029268954,"about_ca_system_score_gemma":0.0006453485,"threshold_uncertainty_score":0.9999818},"labels":[],"label_agreement":null},{"id":"W3163035992","doi":"10.31234/osf.io/cj5mh","title":"What should a preregistration contain?","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Credibility; Verifiable secret sharing; Computer science; Harm; Order (exchange); Limiting; Resource (disambiguation); Inference; Quality (philosophy); Risk analysis (engineering); Management science; Data science; Psychology; Epistemology; Social psychology; Business; Artificial intelligence; Set (abstract data type)","score_opus":0.32911437581962405,"score_gpt":0.2654305520141132,"score_spread":0.06368382380551085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163035992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5115304,0.014677866,0.09441979,0.06399334,0.010381811,0.0033308638,0.00056373305,0.0005277274,0.30057448],"genre_scores_gemma":[0.9898614,0.0019137327,0.00102539,0.002253325,0.0002612024,0.00009742888,0.0003957282,0.000034935074,0.0041568126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983916,0.000011645072,0.00067736016,0.0007192929,0.000029402692,0.00017067401],"domain_scores_gemma":[0.99898815,0.000018270275,0.00046116888,0.00043562014,0.000006002993,0.00009080654],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029741615,0.00021940761,0.00043494132,0.00006958408,0.000045698052,0.00035482892,0.0002451083,0.00029642243,0.0026525303],"category_scores_gemma":[0.000029539884,0.00027890567,0.00017048266,0.000032269578,0.00004053511,0.00047104765,0.00029185132,0.00032973028,0.0031822375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033116936,0.00018272571,0.09419632,0.00026409715,0.00032254547,0.0000062110694,0.002096508,0.0037017227,0.000033301432,0.8721581,0.023390438,0.003614909],"study_design_scores_gemma":[0.0010636628,0.00015638693,0.12861182,0.00010285832,0.00003954919,0.000003532854,0.0009973604,0.038905162,0.00025571353,0.74931556,0.07920557,0.0013428184],"about_ca_topic_score_codex":0.0002168186,"about_ca_topic_score_gemma":0.000044455606,"teacher_disagreement_score":0.47833106,"about_ca_system_score_codex":0.000254293,"about_ca_system_score_gemma":0.00002225567,"threshold_uncertainty_score":0.9999663},"labels":[],"label_agreement":null},{"id":"W3163902347","doi":"10.31234/osf.io/pvq4j","title":"Toward behavioural climate policy: Framing of carbon pricing policy has deep effects on Canadian attitudes and behaviours","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); Incentive; Payment; Framing effect; Public economics; Politics; Public policy; Business; Economics; Finance; Public relations; Microeconomics; Political science; Law; Economic growth","score_opus":0.08861788335952733,"score_gpt":0.25027960423486534,"score_spread":0.161661720875338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163902347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98465645,0.00094685884,0.0000798164,0.0007969162,0.0003973477,0.0006266927,0.0002456451,0.000024381045,0.0122258635],"genre_scores_gemma":[0.99802846,0.00065104116,0.00041632168,0.00034833408,0.0001713734,0.000035050165,0.00012988845,0.000059011953,0.00016053015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806607,0.00002320781,0.0006738474,0.0006705341,0.000048634654,0.0005177275],"domain_scores_gemma":[0.99872464,0.000058168636,0.0005200547,0.00046803278,0.000009969434,0.0002191458],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041042504,0.00034539512,0.00072248623,0.0009393149,0.0000971222,0.00011052103,0.00024010957,0.00041076398,0.000062228435],"category_scores_gemma":[0.00005800827,0.00042374103,0.00014600121,0.00008813169,0.000092819435,0.00009480481,0.00032083664,0.00038265754,0.00006770094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005125834,0.000035339403,0.9766507,0.0002851304,0.000048695925,0.0000030409337,0.0007028641,0.0012363978,0.0000072275025,0.019267641,0.000008827272,0.001748981],"study_design_scores_gemma":[0.0003924526,0.000111506095,0.9935275,0.00014114102,0.00002865755,0.0000032843934,0.00004700671,0.0033614186,0.00026759278,0.0016520775,0.000034666788,0.00043273813],"about_ca_topic_score_codex":0.67120117,"about_ca_topic_score_gemma":0.04677775,"teacher_disagreement_score":0.6244234,"about_ca_system_score_codex":0.0013592037,"about_ca_system_score_gemma":0.00018291287,"threshold_uncertainty_score":0.9998214},"labels":[],"label_agreement":null},{"id":"W3163985462","doi":"10.1002/ecs2.3530","title":"Simulation modeling accounts for uncertainty while quantifying ecological effects of development alternatives","year":2021,"lang":"en","type":"article","venue":"Ecosphere","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Parks and Wilderness Society","funders":"Wilburforce Foundation","keywords":"Wildlife; Environmental resource management; Habitat; Ecology; Environmental science; Biology","score_opus":0.18447085622313733,"score_gpt":0.27590962457935736,"score_spread":0.09143876835622003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163985462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9208021,0.0006995163,0.07523378,0.00002679323,0.00024032021,0.00020032954,0.000019213854,0.000011327888,0.0027665994],"genre_scores_gemma":[0.99160004,0.000054197488,0.0077998256,0.00006025423,0.000041829648,0.000042249932,0.000055331177,0.0000126025925,0.00033368575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991314,0.000009831582,0.00042379613,0.00026997353,0.000022148448,0.00014287159],"domain_scores_gemma":[0.99946344,0.00017719268,0.000197368,0.00011246473,0.000021376316,0.000028173186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022051613,0.00009085201,0.00023521659,0.000018720923,0.00007930699,0.000020941594,0.000073229116,0.000068132744,0.0006648127],"category_scores_gemma":[0.00013935298,0.000107324886,0.00007105927,0.0000418619,0.000012143012,0.00015959196,0.000041665164,0.000044071898,0.00018458231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008884628,0.000111718684,0.02254907,0.00009210757,0.000051403345,6.6899656e-7,0.00036350527,0.96952003,0.00006213464,0.0051517063,0.00006531856,0.0020234443],"study_design_scores_gemma":[0.00068923197,0.000035651727,0.054932315,0.00002827867,0.000005546205,2.3176365e-7,0.00013523971,0.93501884,0.0013960906,0.0060313717,0.0015612334,0.0001659412],"about_ca_topic_score_codex":0.000011112747,"about_ca_topic_score_gemma":0.000037503836,"teacher_disagreement_score":0.070797905,"about_ca_system_score_codex":0.00015583898,"about_ca_system_score_gemma":0.000021688611,"threshold_uncertainty_score":0.7279232},"labels":[],"label_agreement":null},{"id":"W3167089307","doi":"10.1177/00222437211026337","title":"Early Cost Realization and College Choice","year":2021,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Earnings; Student loan; Debt; Graduation (instrument); Economics; Realization (probability); Loan; Preference; Student debt; Actuarial science; Investment (military); Term (time); Time preference; Microeconomics; Finance","score_opus":0.212359624827636,"score_gpt":0.31925971539162645,"score_spread":0.10690009056399044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167089307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798459,0.0015763,0.0002594327,0.00087116705,0.0001182577,0.000067112735,0.000015526926,0.0000019920367,0.017244311],"genre_scores_gemma":[0.9956079,0.0016158961,0.00034331085,0.000046219004,0.00015314497,0.0000021985034,0.0000026525279,0.000010438657,0.0022182108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998956,0.00020629655,0.00044200398,0.00013602506,0.000077713106,0.0001819259],"domain_scores_gemma":[0.99883294,0.00066406495,0.00023998145,0.00009876898,0.000090541136,0.00007368775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010334211,0.000045936,0.00016270838,0.00016825339,0.00011698364,0.00006532261,0.00008495062,0.00005132073,0.000492733],"category_scores_gemma":[0.0026164232,0.000053015243,0.000038613274,0.00016301111,0.00005115381,0.000213854,0.00006945162,0.0002421127,0.000054154985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006709729,0.000051836345,0.98173547,0.000030403618,0.000032717042,0.000015332645,0.00016442355,0.000043267402,0.00012431749,0.011032171,0.0041612936,0.0025416845],"study_design_scores_gemma":[0.00047500627,0.000046062833,0.96506155,0.000037402933,0.0000021175886,0.000031364256,0.0002505164,0.00044763417,0.000051599352,0.004297588,0.029242806,0.000056383196],"about_ca_topic_score_codex":0.000035197085,"about_ca_topic_score_gemma":0.000009890819,"teacher_disagreement_score":0.025081512,"about_ca_system_score_codex":0.00017427927,"about_ca_system_score_gemma":0.000037882724,"threshold_uncertainty_score":0.53950804},"labels":[],"label_agreement":null},{"id":"W3170038300","doi":"10.1016/j.ijgeop.2021.05.004","title":"National parks best practices: Lessons from a century's worth of national parks management","year":2021,"lang":"en","type":"article","venue":"International Journal of Geoheritage and Parks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"National park; Recreation; Stakeholder; Environmental resource management; Political science; Corporate governance; Best practice; CLARITY; Environmental planning; Public relations; Public administration; Business; Geography","score_opus":0.1144137500799472,"score_gpt":0.2941549807283678,"score_spread":0.17974123064842062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170038300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.918845,0.0062732864,0.0027176314,0.003914433,0.001619607,0.00012356717,0.00080814434,0.000006541297,0.06569176],"genre_scores_gemma":[0.9899961,0.005523318,0.0027797467,0.00047504276,0.00038284616,0.0000062316726,0.00015529296,0.000013336994,0.0006680949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842244,0.000035574303,0.00089409226,0.0002525149,0.0002655132,0.00012985396],"domain_scores_gemma":[0.9978089,0.00015455134,0.0016122208,0.00009354525,0.00025555954,0.00007523805],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071643275,0.00013047924,0.00028801343,0.00017549121,0.000053984517,0.000095368756,0.0002487088,0.00009036052,0.0015355119],"category_scores_gemma":[0.00018250069,0.0001497012,0.00014444435,0.000073688476,0.00006285281,0.0005529652,0.000104906874,0.00019342956,0.000057982706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006182625,0.0024491292,0.67238176,0.00009824725,0.005298181,0.00037870058,0.0026799163,0.0064321007,0.00050771475,0.27099228,0.009742662,0.028421061],"study_design_scores_gemma":[0.003980907,0.00015120886,0.67384183,0.00025380618,0.00008321424,0.00020265386,0.0021370028,0.0027169925,0.0002968982,0.095203616,0.22059773,0.00053412816],"about_ca_topic_score_codex":0.000099772435,"about_ca_topic_score_gemma":0.00005033932,"teacher_disagreement_score":0.21085507,"about_ca_system_score_codex":0.00017642381,"about_ca_system_score_gemma":0.00006845591,"threshold_uncertainty_score":0.9993772},"labels":[],"label_agreement":null},{"id":"W3172318848","doi":"10.1186/s12913-021-06499-w","title":"Mental health service preferences of patients and providers: a scoping review of conjoint analysis and discrete choice experiments from global public health literature over the last 20 years (1999–2019)","year":2021,"lang":"en","type":"review","venue":"BMC Health Services Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fogarty International Center","keywords":"Conjoint analysis; CINAHL; Mental health; Health administration; Psychological intervention; Health informatics; Helpfulness; Medicine; Nursing research; Public health; Health services research; Health care; Stakeholder; Preference; Nursing; Applied psychology; Family medicine; Psychology; Psychiatry; Social psychology; Public relations","score_opus":0.23097788039210887,"score_gpt":0.42326126493507293,"score_spread":0.19228338454296406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172318848","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0141513925,0.97722226,0.0000130440285,0.0006317514,0.00008207496,0.002980632,0.004881427,0.000006063654,0.000031348045],"genre_scores_gemma":[0.0011448583,0.9929725,0.0003492007,0.0013745831,0.00004266482,0.0001497528,0.0039307736,0.000025745323,0.000009898516],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.9948873,0.0010412084,0.002224515,0.0009282757,0.00030255137,0.0006161854],"domain_scores_gemma":[0.9962991,0.0002781201,0.0023536994,0.0006153431,0.00008713359,0.0003666208],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035280844,0.00032616747,0.0026727237,0.00032826312,0.0002621507,0.00018753216,0.00047273436,0.00015990193,0.0001511644],"category_scores_gemma":[0.00004305451,0.00028041803,0.00023323223,0.0014821653,0.00012663285,0.00038751675,0.0006025657,0.00036709383,0.0000126397135],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012452542,0.00031952123,0.2929033,0.5717337,0.0010830238,2.453203e-7,0.0069475,0.0000014005087,2.7026841e-8,0.00026784564,0.00033791983,0.12639308],"study_design_scores_gemma":[0.0012904993,0.0005495789,0.5069441,0.37648168,0.00012609227,0.0000018202263,0.0017823346,0.0002688645,1.9868712e-7,0.000108507375,0.11183531,0.00061097683],"about_ca_topic_score_codex":0.011546678,"about_ca_topic_score_gemma":0.006615365,"teacher_disagreement_score":0.21404085,"about_ca_system_score_codex":0.0006924632,"about_ca_system_score_gemma":0.0010008652,"threshold_uncertainty_score":0.9999648},"labels":[],"label_agreement":null},{"id":"W3173929491","doi":"10.1109/icjece.2021.3070787","title":"Assessing the Rate Impact of Conservation and Demand Management: A New Mathematical Model","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Independent Electricity System Operator","keywords":"Variable cost; Variable (mathematics); Fixed cost; Economics; Energy conservation; Electricity; Metric (unit); Consumption (sociology); Environmental economics; Variables; Work (physics); Econometrics; Natural resource economics; Business; Microeconomics; Operations management; Mathematics; Statistics; Engineering","score_opus":0.044922162922487636,"score_gpt":0.2033859342183149,"score_spread":0.15846377129582728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173929491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68267655,0.001218688,0.31575537,0.00018087719,0.000020697065,0.000020739562,0.000001175734,8.5188697e-7,0.00012506341],"genre_scores_gemma":[0.994658,0.00010311419,0.0050899186,0.00006956524,0.000034823195,2.9991693e-7,6.532055e-7,0.0000046376927,0.000038998653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999578,0.00000535749,0.0002461343,0.00006452848,0.000011301023,0.000094695526],"domain_scores_gemma":[0.99969244,0.00004332916,0.00009071667,0.000042532,0.000008276626,0.0001227211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001928295,0.0000508088,0.00014334501,0.0000782261,0.00002988293,0.00006803093,0.00003928225,0.000022920676,0.000017206143],"category_scores_gemma":[0.000017175396,0.000044146545,0.000040748735,0.00006688794,0.000012572212,0.00013954814,0.0000093267945,0.00006983579,8.984025e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073490432,0.000039284634,0.21281019,0.00012672078,0.0005638919,0.000055512624,0.00092456164,0.47713283,0.0002721028,0.28897163,0.0012391675,0.017856754],"study_design_scores_gemma":[0.00017504548,0.000023466924,0.21342741,0.000018227824,0.00000868258,0.000050316983,0.0000043901305,0.7760958,0.00001487149,0.010084082,0.000053351774,0.000044346663],"about_ca_topic_score_codex":0.00009107828,"about_ca_topic_score_gemma":0.0000108514305,"teacher_disagreement_score":0.31198144,"about_ca_system_score_codex":0.000056073797,"about_ca_system_score_gemma":0.0000488045,"threshold_uncertainty_score":0.18002439},"labels":[],"label_agreement":null},{"id":"W3176909959","doi":"10.1016/j.jocm.2021.100302","title":"Separating generalizable from source-specific preference heterogeneity in the fusion of revealed and stated preferences","year":2021,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Australian Research Council","keywords":"Preference; Revealed preference; Premise; Econometrics; Generalizability theory; Economics; Microeconomics; Psychology","score_opus":0.2662613018923997,"score_gpt":0.2482723318761791,"score_spread":0.01798897001622063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176909959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94138044,0.0059011662,0.052212078,0.000074826676,0.00006838785,0.0000503036,0.000015580132,0.0000013320816,0.00029590967],"genre_scores_gemma":[0.9912918,0.0034527523,0.00509047,0.000046582347,0.00006990441,0.0000014524371,0.000008083234,0.000006234323,0.00003267345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988968,0.00005758216,0.0007413625,0.00015302964,0.000050148996,0.00010107647],"domain_scores_gemma":[0.99905896,0.00012326299,0.0006448057,0.000120294295,0.000024779913,0.000027919708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006986135,0.000076855584,0.00027339088,0.000063077634,0.000048856153,0.000047754405,0.00012050067,0.000049703016,0.00006712043],"category_scores_gemma":[0.000023339935,0.00006803795,0.000052047188,0.000078529796,0.000022678334,0.00025884126,0.00002984514,0.00014249005,0.0000037175028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018318231,0.0000703571,0.44061744,0.000016630695,0.000028771663,0.0000016954854,0.0018289774,0.5551037,0.0012321894,0.00039017617,0.00004080064,0.00065090717],"study_design_scores_gemma":[0.0016301218,0.00014077066,0.2645652,0.0002055397,0.0000252551,0.000016519734,0.000920576,0.6993455,0.0040310356,0.025580253,0.0032467106,0.00029248733],"about_ca_topic_score_codex":0.00022526237,"about_ca_topic_score_gemma":0.000071901806,"teacher_disagreement_score":0.17605224,"about_ca_system_score_codex":0.00004366155,"about_ca_system_score_gemma":0.000013565542,"threshold_uncertainty_score":0.27745074},"labels":[],"label_agreement":null},{"id":"W3177857807","doi":"10.1162/rest_a_01521","title":"Identification of Average Marginal Effects in Fixed Effects Dynamic Discrete Choice Models","year":2024,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Identification (biology); Discrete choice; Econometrics; Fixed effects model; Mathematics; Computer science; Biology; Panel data","score_opus":0.029844473873150014,"score_gpt":0.24313287241463574,"score_spread":0.21328839854148574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177857807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5815198,0.28911138,0.12408034,0.00056871516,0.00063605007,0.0013272836,0.0013287937,0.000012204289,0.0014154773],"genre_scores_gemma":[0.78747135,0.21127073,0.0009615013,0.000070768685,0.000012887716,0.000029733716,0.000045126606,0.000015383868,0.00012252992],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875736,0.000032586424,0.00084260496,0.00023623486,0.000014459195,0.00011675046],"domain_scores_gemma":[0.99899125,0.00038920675,0.00035970946,0.00022594466,0.0000060527823,0.000027844135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086666987,0.00011746531,0.00044738757,0.00008357014,0.000027174923,0.000025747671,0.00012615914,0.00003913717,0.000027900192],"category_scores_gemma":[0.00007524105,0.00011049933,0.00006355406,0.00006402556,0.00008183301,0.00016175267,0.000045221434,0.000084762825,0.000035293197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005753358,0.000033381835,0.0021445656,0.013195433,0.000078572455,9.791984e-7,0.00019772013,0.0035641722,0.00003387593,0.96090555,0.00010952886,0.019730479],"study_design_scores_gemma":[0.0003108874,0.000065623266,0.052545104,0.0016267018,0.000050854236,0.0000027733604,0.000008340388,0.721331,0.000049064347,0.22298098,0.00083886785,0.00018981374],"about_ca_topic_score_codex":0.00006543821,"about_ca_topic_score_gemma":0.000024232282,"teacher_disagreement_score":0.7379246,"about_ca_system_score_codex":0.000090687776,"about_ca_system_score_gemma":0.000013471671,"threshold_uncertainty_score":0.4506032},"labels":[],"label_agreement":null},{"id":"W3179777497","doi":"10.2139/ssrn.3871256","title":"Random Utility and Limited Consideration","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"California Institute of Technology","keywords":"Computer science; Econometrics; Mathematics","score_opus":0.050309084234591364,"score_gpt":0.20595567115815175,"score_spread":0.15564658692356037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179777497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966398,0.01073185,0.016196134,0.0013051465,0.00016205672,0.00006138879,0.0000069345915,0.000009688925,0.0051287767],"genre_scores_gemma":[0.9899813,0.008285255,0.00017198783,0.00021369342,0.00008026152,0.000002571046,0.000012012133,0.000008764786,0.0012441599],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998888,0.000028200891,0.00033356334,0.00019103641,0.00001931491,0.00053985644],"domain_scores_gemma":[0.9996565,0.000033999484,0.00015534944,0.00009762217,0.0000118885055,0.000044652483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012434537,0.00007454665,0.00017394387,0.000045967117,0.00014855796,0.000066720386,0.00003887532,0.000052806787,0.00039523604],"category_scores_gemma":[0.00009798789,0.00008808338,0.000055954846,0.00004485678,0.00003303668,0.00021245767,0.00002106446,0.00040587844,0.00013278688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034497578,0.00006776253,0.33195907,0.000004886536,0.00014015756,0.0000028698475,0.00018437485,0.00005923241,0.00010822499,0.6588611,0.00015589714,0.008421903],"study_design_scores_gemma":[0.0022884079,0.0000653439,0.13732736,0.00000435535,0.000012366719,0.00033541064,0.0006711316,0.002248959,0.00015472645,0.85306937,0.0036502942,0.00017229324],"about_ca_topic_score_codex":0.000024082256,"about_ca_topic_score_gemma":0.00016689388,"teacher_disagreement_score":0.19463171,"about_ca_system_score_codex":0.00030936822,"about_ca_system_score_gemma":0.0001516745,"threshold_uncertainty_score":0.43275577},"labels":[],"label_agreement":null},{"id":"W3180034992","doi":"10.3389/fevo.2021.663043","title":"Benefits Beyond Borders: Assessing Landowner Willingness-to-Accept Incentives for Conservation Outside Protected Areas","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Oracle","keywords":"Wildlife; Incentive; Livelihood; Habitat; Land tenure; Business; Payment; Wildlife conservation; Natural resource economics; Land use; Geography; Willingness to pay; Environmental resource management; Environmental planning; Agroforestry; Agriculture; Ecology; Economics; Environmental science; Finance","score_opus":0.037101204595395045,"score_gpt":0.2300244686176311,"score_spread":0.19292326402223606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180034992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9254532,0.001410539,0.06995929,0.0013055034,0.000829665,0.00042419764,0.000047343845,0.000016115979,0.000554164],"genre_scores_gemma":[0.9834231,0.00015806046,0.015422458,0.00040188796,0.000054426673,0.00015955913,0.0001392466,0.00001223516,0.00022901809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990146,0.000030057097,0.00035791192,0.0003645625,0.000015883641,0.00021695971],"domain_scores_gemma":[0.9996293,0.00003854041,0.0001644963,0.00010128706,0.00002404413,0.00004234113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037137832,0.00010330614,0.00026867999,0.00013473368,0.00015199966,0.000038769736,0.00004959972,0.00015694484,0.00003198929],"category_scores_gemma":[0.0001851168,0.00013148412,0.000036385925,0.0001312879,0.000057080488,0.00038354052,0.000034640267,0.00008412241,0.000016723983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031987107,0.000051024384,0.9906048,0.000018232418,0.000023852072,4.2136543e-7,0.00020328508,0.0011140388,0.00003699659,0.0056218267,0.00082076556,0.0014727543],"study_design_scores_gemma":[0.00099193,0.0000440895,0.95680624,0.000014810192,0.000007790997,0.00000200297,0.00050160545,0.01066424,0.00006486244,0.02941999,0.0013294028,0.00015302756],"about_ca_topic_score_codex":0.000055848577,"about_ca_topic_score_gemma":0.0002075275,"teacher_disagreement_score":0.057969924,"about_ca_system_score_codex":0.00028535665,"about_ca_system_score_gemma":0.000031292377,"threshold_uncertainty_score":0.5361767},"labels":[],"label_agreement":null},{"id":"W3182413613","doi":"10.1016/j.ecolecon.2021.107142","title":"Have environmental preferences and willingness to pay remained stable before and during the global Covid-19 shock?","year":2021,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Horizon 2020; European Commission","keywords":"Willingness to pay; Flemish; Coronavirus disease 2019 (COVID-19); Pandemic; Economics; Shock (circulatory); Econometrics; Demographic economics; Multivariate statistics; 2019-20 coronavirus outbreak; Public economics; Socioeconomics; Geography; Statistics; Mathematics; Macroeconomics","score_opus":0.04971093162918981,"score_gpt":0.21538982418235814,"score_spread":0.1656788925531683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182413613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99340683,0.00043560902,0.0002189221,0.0030320005,0.00016023203,0.00027099246,0.00034987775,0.00001943757,0.002106108],"genre_scores_gemma":[0.9956184,0.0010609402,0.0005761382,0.0018224706,0.00007711647,0.000048815633,0.00003996734,0.000011610103,0.00074452325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854213,0.000029738387,0.00047979454,0.0006272191,0.000017615665,0.0003034922],"domain_scores_gemma":[0.9992353,0.00008491027,0.00017711845,0.00023358174,0.000002453459,0.00026664717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041192016,0.00018207048,0.00034540182,0.000023721079,0.00034205127,0.0001349679,0.00015050349,0.00013375324,0.0012389466],"category_scores_gemma":[0.000117271506,0.00015186628,0.000055967535,0.00003833615,0.00017114922,0.0001985124,0.00033789375,0.00011985282,0.00014716874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016652988,0.000056767367,0.98070675,0.000013284865,0.00003326514,0.00000384164,0.0002471716,0.0015282263,0.0000057209872,0.016694684,0.000034197594,0.0006594329],"study_design_scores_gemma":[0.0005312135,0.00008834598,0.93651074,0.000002038551,0.000007402166,0.000027785232,0.0005927854,0.0015983263,0.000023157905,0.048347093,0.012055396,0.00021570052],"about_ca_topic_score_codex":0.000057623573,"about_ca_topic_score_gemma":0.00086468493,"teacher_disagreement_score":0.044196,"about_ca_system_score_codex":0.00073789695,"about_ca_system_score_gemma":0.000027420363,"threshold_uncertainty_score":0.9996741},"labels":[],"label_agreement":null},{"id":"W3183495745","doi":"10.1016/j.jeconom.2021.06.004","title":"Estimating multinomial choice models with unobserved choice sets","year":2021,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Shanghai University of Finance and Economics","keywords":"Discrete choice; Unobservable; Multinomial distribution; Consumer choice; Choice set; Econometrics; Multinomial probit; Identification (biology); Multinomial logistic regression; Aggregate (composite); Monotonic function; Set (abstract data type); Range (aeronautics); Mathematics; Mathematical optimization; Computer science; Statistics; Economics","score_opus":0.3423096579204577,"score_gpt":0.24775609920352168,"score_spread":0.09455355871693602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183495745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644502,0.0021920367,0.025060868,0.00035783646,0.0008522641,0.00009887315,0.00005097087,0.00001140421,0.006925572],"genre_scores_gemma":[0.94629806,0.00017147852,0.052283417,0.00029866365,0.00040862767,0.0000043259292,0.000016834994,0.000039619415,0.00047895737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793875,0.000024549972,0.0013285378,0.00034232924,0.00006446101,0.00030134703],"domain_scores_gemma":[0.99745655,0.000327492,0.0016539276,0.0002890952,0.000088152265,0.00018477385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009009893,0.00020022318,0.0006364878,0.0005534937,0.00011175216,0.00014263367,0.0002762904,0.000119131626,0.0006299817],"category_scores_gemma":[0.0006190151,0.0002190551,0.00020285769,0.0005686561,0.000047544614,0.0012052772,0.00007639027,0.00030105613,0.00014068966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022188447,0.00026013772,0.85691863,0.000044643115,0.00023441312,0.000025173687,0.0002168384,0.1335448,0.000019561432,0.004370599,0.000489564,0.0038534286],"study_design_scores_gemma":[0.005132164,0.00043419813,0.64573914,0.00008074887,0.00007546014,0.00021417676,0.00023750858,0.32393533,0.0002591681,0.013744436,0.009362503,0.00078517094],"about_ca_topic_score_codex":0.000064901236,"about_ca_topic_score_gemma":0.000030018065,"teacher_disagreement_score":0.21117951,"about_ca_system_score_codex":0.00044015195,"about_ca_system_score_gemma":0.000077410834,"threshold_uncertainty_score":0.8932808},"labels":[],"label_agreement":null},{"id":"W3183545876","doi":"10.1108/ijhma-10-2020-0127","title":"Golf courses and home values in California’s Central valley","year":2021,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Closing (real estate); Econometric model; Popularity; Value (mathematics); Econometrics; Bayesian probability; Point (geometry); Database transaction; Statistics; Transaction data; Geography; Computer science; Regional science; Economics; Mathematics; Database; Psychology; Finance","score_opus":0.031068281516834356,"score_gpt":0.22539572167693334,"score_spread":0.19432744016009898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183545876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935088,0.0027025712,0.001640453,0.0011398289,0.00019801874,0.000012767187,0.00003779018,0.0000017418567,0.0007579855],"genre_scores_gemma":[0.99566525,0.0032061469,0.00077700237,0.00011792599,0.00008336125,3.2245893e-7,0.000011418777,0.0000056321755,0.00013296756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921423,0.000022454022,0.00047010914,0.00014203842,0.000053818872,0.00009736717],"domain_scores_gemma":[0.99951416,0.00004485994,0.00030523122,0.000049742666,0.000033164306,0.000052845862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004584557,0.00006855725,0.00026558412,0.0004054101,0.000028259821,0.00009879756,0.000072564166,0.000033176973,0.00031594074],"category_scores_gemma":[0.00005356931,0.000072555566,0.00010882566,0.000120497316,0.000039384133,0.00018819918,0.000042541986,0.000074904594,0.0000041027088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018782157,0.000052674128,0.99472606,0.0000031202333,0.00056580803,0.000047119767,0.00014175038,0.0009731087,0.000032690048,0.0008672786,0.000062078245,0.0025095039],"study_design_scores_gemma":[0.00052876445,0.0000127853655,0.9842999,0.000020837968,0.00008600475,0.00004308549,0.00020934461,0.008138441,0.000032005904,0.0052486113,0.0012806676,0.00009957285],"about_ca_topic_score_codex":0.00006706246,"about_ca_topic_score_gemma":0.000037967337,"teacher_disagreement_score":0.0104262065,"about_ca_system_score_codex":0.00009904661,"about_ca_system_score_gemma":0.000014753047,"threshold_uncertainty_score":0.34593296},"labels":[],"label_agreement":null},{"id":"W3184001905","doi":"10.1002/hec.4406","title":"Incomplete information and irrelevant attributes in stated‐preference values for health interventions","year":2021,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Human Genome Research Institute; National Cancer Institute; National Health Research Institutes","keywords":"Preference; Context (archaeology); Psychological intervention; Watchful waiting; Mixed logit; Actuarial science; Affect (linguistics); Revealed preference; Medicine; Value (mathematics); Logistic regression; Econometrics; Psychology; Economics; Statistics; Microeconomics; Mathematics","score_opus":0.27018048845322445,"score_gpt":0.30721173145626157,"score_spread":0.03703124300303712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184001905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95314074,0.0072330874,0.019140495,0.01603338,0.000555447,0.00090054027,0.0023950725,0.000033844623,0.0005674145],"genre_scores_gemma":[0.9669819,0.018113207,0.008121617,0.0048838225,0.000054064672,0.0001562669,0.0014761464,0.00002411608,0.00018885102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979998,0.00002967288,0.0013389051,0.00029622045,0.00001097883,0.00032446158],"domain_scores_gemma":[0.99894375,0.00008075973,0.00064376905,0.00019262952,0.000013191869,0.0001259126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010974044,0.0001236638,0.0004622388,0.00016908573,0.00015121272,0.00007694106,0.00007954127,0.000058036716,0.00011896014],"category_scores_gemma":[0.00007239052,0.00017196423,0.00008121234,0.00006659979,0.000035673787,0.00064035406,0.00006998755,0.000102355436,0.00013216156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058470705,0.0003256146,0.53210384,0.0021221037,0.00009516907,4.6287218e-7,0.004468231,0.004929183,0.0000013331103,0.37649927,0.005748686,0.07364764],"study_design_scores_gemma":[0.0025496883,0.00035431774,0.77622634,0.00018151643,0.000003616641,0.0000097702605,0.0009748995,0.041720983,0.000014438815,0.08437486,0.09315497,0.00043461678],"about_ca_topic_score_codex":0.000543581,"about_ca_topic_score_gemma":0.0010923881,"teacher_disagreement_score":0.29212442,"about_ca_system_score_codex":0.0006788161,"about_ca_system_score_gemma":0.00013824122,"threshold_uncertainty_score":0.7012498},"labels":[],"label_agreement":null},{"id":"W3184487790","doi":"10.1080/07900627.2021.1940105","title":"Perceived vs measured water supply service: evidence from New Zealand","year":2021,"lang":"en","type":"article","venue":"International Journal of Water Resources Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WSP (Canada); University of New Brunswick","funders":"University of South Australia; Engineers Canada","keywords":"Perception; Water supply; Logistic regression; Logit; Ordered logit; Potable water; Fluoride; Service (business); Business; Marketing; Regression analysis; Environmental economics; Agricultural economics; Economics; Psychology; Econometrics; Statistics; Environmental science; Environmental engineering; Mathematics","score_opus":0.08092717843778977,"score_gpt":0.22568545226917178,"score_spread":0.144758273831382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184487790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893023,0.0005782546,0.00045243642,0.0085098585,0.0008577125,0.000046530116,0.000013907322,0.000006619989,0.00023237293],"genre_scores_gemma":[0.9897441,0.0002221397,0.0042808554,0.00093866885,0.00041151597,0.0000027629164,0.00008002898,0.00001841885,0.004301472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984279,0.000027147025,0.0009191599,0.00024614725,0.0001795205,0.00020010889],"domain_scores_gemma":[0.999342,0.000028580806,0.0002566487,0.00012881195,0.000121141835,0.00012278328],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00048255638,0.00014103367,0.00028294243,0.0001407217,0.000051613653,0.00016746006,0.00042899893,0.000067321394,0.0049104327],"category_scores_gemma":[0.000031454587,0.00010999547,0.000103676655,0.000027248301,0.0000173408,0.00040906426,0.00016445931,0.00013960176,0.00141299],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026831706,0.00014745716,0.91077197,0.000010433329,0.00093819073,0.000134153,0.06411073,0.0014167302,0.016008154,0.000026579288,0.0028053487,0.0033619246],"study_design_scores_gemma":[0.0012270667,0.00003136197,0.7329017,0.00015281806,0.000013707545,0.000075006494,0.00024432366,0.00009677621,0.060252566,0.0026866726,0.20207278,0.0002452245],"about_ca_topic_score_codex":0.0003960283,"about_ca_topic_score_gemma":0.00009812944,"teacher_disagreement_score":0.19926745,"about_ca_system_score_codex":0.000390386,"about_ca_system_score_gemma":0.00004257549,"threshold_uncertainty_score":0.99936455},"labels":[],"label_agreement":null},{"id":"W3184617326","doi":"10.1007/s40258-021-00671-3","title":"How Much Money Should be Paid for a Patient to Isolate During the COVID-19 Outbreak? A Discrete Choice Experiment in Iran","year":2021,"lang":"en","type":"article","venue":"Applied Health Economics and Health Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Confidence interval; Outbreak; Social isolation; Medicine; Socioeconomic status; Logistic regression; Isolation (microbiology); Public health; Coronavirus disease 2019 (COVID-19); Demography; Health administration; Willingness to accept; Willingness to pay; Infectious disease (medical specialty); Environmental health; Economics; Disease; Internal medicine; Nursing; Virology; Biology","score_opus":0.22686824309163447,"score_gpt":0.35251694597084243,"score_spread":0.12564870287920796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184617326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5561977,0.0019953898,0.0007992773,0.4377839,0.0001583074,0.0019491381,0.00052190525,0.000021592397,0.0005728094],"genre_scores_gemma":[0.8695373,0.0054171747,0.00091759634,0.12257692,0.00024748011,0.0009285385,0.00007664415,0.000052009807,0.0002463604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971443,0.00003550541,0.0011409473,0.0008094308,0.000028434551,0.00084139284],"domain_scores_gemma":[0.9980879,0.00011014254,0.00060732773,0.00046035694,0.000005665339,0.00072859647],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010938471,0.0002718714,0.00070904614,0.00024164155,0.0006033546,0.0001464531,0.00016691437,0.00011260746,0.000032341013],"category_scores_gemma":[0.00005515148,0.0002982583,0.00009341845,0.00014615698,0.00005210546,0.00013425578,0.00018312826,0.00018973008,0.00002521963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018719642,0.00032261707,0.048660174,0.0011521836,0.00010768392,0.0000012273382,0.035111826,0.0047995085,0.00003806396,0.8953499,0.00510771,0.009161864],"study_design_scores_gemma":[0.005079641,0.0005157447,0.11582256,0.00003177391,0.000004951685,0.000013650474,0.0061048274,0.0039079483,0.000092901,0.026820282,0.84073573,0.00086996355],"about_ca_topic_score_codex":0.010350834,"about_ca_topic_score_gemma":0.0059624757,"teacher_disagreement_score":0.8685297,"about_ca_system_score_codex":0.002390064,"about_ca_system_score_gemma":0.00040922905,"threshold_uncertainty_score":0.99994695},"labels":[],"label_agreement":null},{"id":"W3184910468","doi":"10.22215/etd/2021-14547","title":"Spatial Prioritization of Cost-Efficient Habitat Protection for Species at Risk in Ontario","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Easement; Prioritization; Habitat; Species richness; Land use; Environmental resource management; Business; Geography; Population; Opportunity cost; Environmental planning; Ecology; Environmental science; Economics; Biology","score_opus":0.075834202074567,"score_gpt":0.21676382738659697,"score_spread":0.14092962531202996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184910468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695409,0.00027900146,0.009241753,0.000020271711,0.0009403557,0.0017406343,0.00019755306,0.000009638444,0.01802987],"genre_scores_gemma":[0.94650835,0.00015833187,0.0006269625,0.000010048654,0.00005626281,0.00042391018,0.0032897408,0.000033422923,0.048892953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848086,0.000013869867,0.0008535588,0.0004474273,0.00003968573,0.00016462717],"domain_scores_gemma":[0.99891835,0.000030276413,0.0008117947,0.00018270321,0.00002866933,0.000028187833],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035661916,0.00017486523,0.0004470645,0.00022815826,0.00007405644,0.00002452405,0.00007445697,0.0002429568,0.0017663727],"category_scores_gemma":[0.00007967083,0.0002284917,0.00015498922,0.000074527816,0.000019164205,0.00007587528,0.000020213049,0.00015497046,0.000081743994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023975852,0.00034779924,0.97174066,0.0002726019,0.00008571078,5.2459364e-7,0.003064715,0.010751486,0.00029955865,0.009761061,0.00020417346,0.003231974],"study_design_scores_gemma":[0.00091120927,0.000086790205,0.9840563,0.00005138362,0.000018060531,3.697059e-7,0.0004589584,0.007061184,0.0021452429,0.0014381129,0.0035097138,0.00026267543],"about_ca_topic_score_codex":0.04503378,"about_ca_topic_score_gemma":0.6718441,"teacher_disagreement_score":0.6268104,"about_ca_system_score_codex":0.001632369,"about_ca_system_score_gemma":0.000058841677,"threshold_uncertainty_score":0.99914616},"labels":[],"label_agreement":null},{"id":"W3185935516","doi":"10.1115/1.4051890","title":"Implications of Competitor Representation for Profit-Maximizing Design","year":2021,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Natural Sciences and Engineering Research Council of Canada; Carnegie Mellon University","keywords":"Competitor analysis; Logit; Mixed logit; Profit (economics); Econometrics; Computer science; Logistic regression; Representation (politics); Market share; Mathematical optimization; Mathematics; Economics; Microeconomics; Machine learning","score_opus":0.32135872369067925,"score_gpt":0.2900951325003641,"score_spread":0.03126359119031513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185935516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01895169,0.0004259998,0.9787903,0.0010099133,0.0002748834,0.0002331902,0.000018565117,0.0000037058899,0.00029175464],"genre_scores_gemma":[0.74679995,0.00019226254,0.25262624,0.00010583912,0.00011987374,0.000018758978,0.000005852113,0.0000143071375,0.00011693237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99876183,0.00005843197,0.00087942265,0.0001541499,0.000036148384,0.00011001448],"domain_scores_gemma":[0.9985203,0.00033741037,0.00084584934,0.00015829653,0.000079652455,0.000058495967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001245995,0.00006978593,0.00032258712,0.00007870651,0.000048170332,0.00002020673,0.00013031512,0.00006845822,0.0002184132],"category_scores_gemma":[0.00039172237,0.00007756959,0.00016279267,0.00009257843,0.000017194707,0.00019204673,0.000021238146,0.0000786348,0.000024460354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042459354,0.00046011378,0.022832295,0.00010887494,0.0004975539,0.000007364291,0.00044201582,0.0362036,0.11243553,0.808675,0.006914823,0.010998224],"study_design_scores_gemma":[0.0033872912,0.00092437066,0.048233856,0.0000880677,0.000105456544,0.00008987602,0.00036487333,0.035248727,0.20736308,0.70243835,0.0013826275,0.00037340051],"about_ca_topic_score_codex":0.000002400526,"about_ca_topic_score_gemma":3.6985406e-7,"teacher_disagreement_score":0.72784823,"about_ca_system_score_codex":0.00010491418,"about_ca_system_score_gemma":0.0000443775,"threshold_uncertainty_score":0.31631958},"labels":[],"label_agreement":null},{"id":"W3190194264","doi":"10.1139/facets-2020-0108","title":"Canadian private protected areas are located in regions of higher vertebrate species richness than government protected areas","year":2021,"lang":"en","type":"article","venue":"FACETS","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Nature Conservancy of Canada; University of British Columbia; University of Guelph","funders":"","keywords":"Ecoregion; Protected area; Species richness; Biodiversity; Geography; Government (linguistics); Convention on Biological Diversity; Global biodiversity; Nature reserve; Range (aeronautics); Introduced species; Ecology; Environmental protection; Environmental resource management; Biology; Environmental science","score_opus":0.053542222037370045,"score_gpt":0.19295018113169915,"score_spread":0.1394079590943291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190194264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916807,0.00032769336,0.00018972681,0.0011936824,0.00018500973,0.0006246822,0.0004302297,0.0000229933,0.0053452775],"genre_scores_gemma":[0.9946522,0.00007936778,0.00014938625,0.00009482282,0.000024920828,0.00012709998,0.00011158058,0.00002677101,0.004733845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862546,0.000035829435,0.00053033687,0.0004191837,0.000063930864,0.0003252353],"domain_scores_gemma":[0.9991194,0.000012552829,0.00034941747,0.00037189436,0.000020261643,0.00012646201],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017626562,0.00017548112,0.0003776278,0.00012036219,0.00007238113,0.000034246306,0.00016282494,0.00013794974,0.0011664762],"category_scores_gemma":[0.000067938185,0.00021458884,0.00006578752,0.00032547745,0.000043063337,0.00015698359,0.000062878535,0.00015753444,0.00024268149],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001410766,0.00011738241,0.9902629,0.0000452584,0.00005357397,0.000016489503,0.00020574345,0.0005394212,0.00057846826,0.007805809,0.00029711446,0.00006372921],"study_design_scores_gemma":[0.0006893736,0.00002781058,0.98587465,0.0000735048,0.000005356831,0.0000027363387,0.00018351641,0.0007479648,0.0044074883,0.0017503953,0.005991461,0.00024573828],"about_ca_topic_score_codex":0.009601601,"about_ca_topic_score_gemma":0.028210113,"teacher_disagreement_score":0.018608512,"about_ca_system_score_codex":0.001104634,"about_ca_system_score_gemma":0.00006491086,"threshold_uncertainty_score":0.9997466},"labels":[],"label_agreement":null},{"id":"W3190453676","doi":"","title":"International Willingness to Pay for the Protection of the Amazon Rainforest","year":2019,"lang":"en","type":"article","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Rainforest; Tropical rainforest; Deforestation (computer science); Biodiversity; Geography; Natural resource economics; Valuation (finance); Agroforestry; Environmental protection; Business; Economics; Ecology; Environmental science; Accounting","score_opus":0.06517236501791962,"score_gpt":0.25070912024080844,"score_spread":0.18553675522288882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190453676","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40812218,0.00094658375,0.0032651045,0.014402685,0.014364631,0.010207148,0.00010709858,0.00005227258,0.5485323],"genre_scores_gemma":[0.84661686,0.000013164161,0.00010360207,0.00019404932,0.00040250728,0.0004177188,0.0000053114586,0.000027924472,0.15221886],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858826,0.000051951687,0.0006932275,0.00038376905,0.00006124582,0.00022154697],"domain_scores_gemma":[0.99834657,0.00023558784,0.000539889,0.0007905104,0.00004976409,0.000037658876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013175606,0.00018031364,0.00029453056,0.00010972235,0.00042754982,0.00018901417,0.0014663369,0.00004321454,0.0005124713],"category_scores_gemma":[0.000057017794,0.000105213825,0.00019759245,0.00034604457,0.00009483671,0.00029124672,0.0005023948,0.00020011346,0.0005595196],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006328164,0.0005814255,0.6296339,0.0001884869,0.0007995652,5.604771e-7,0.0042120717,0.016932275,0.0019368286,0.2845864,0.03349349,0.027002186],"study_design_scores_gemma":[0.0007720326,0.000059542133,0.39332825,0.00008341497,0.00003020506,0.0000038328153,0.00009164263,0.011867875,0.0028208494,0.0033399707,0.587349,0.00025339317],"about_ca_topic_score_codex":0.0002507914,"about_ca_topic_score_gemma":0.00073521154,"teacher_disagreement_score":0.5538555,"about_ca_system_score_codex":0.00030506193,"about_ca_system_score_gemma":0.00003690753,"threshold_uncertainty_score":0.7191679},"labels":[],"label_agreement":null},{"id":"W3192305962","doi":"10.3386/w28801","title":"Simplifying Bias Correction for Selective Sampling: A Unified Distribution-Free Approach to Handling Endogenously Selected Samples","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Sampling (signal processing); Statistics; Econometrics; Computer science; Distribution (mathematics); Mathematics","score_opus":0.7380078303524844,"score_gpt":0.45340381704603794,"score_spread":0.28460401330644647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192305962","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09020907,0.007265117,0.11322837,0.0012983995,0.007104149,0.011362029,0.025140798,0.00022758218,0.74416447],"genre_scores_gemma":[0.965415,0.0010729437,0.004949517,0.000041883544,0.0014234792,0.0011389777,0.020327162,0.00014290973,0.0054881214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956864,0.00010900082,0.0017456876,0.0013591078,0.00037849098,0.00072129985],"domain_scores_gemma":[0.99509346,0.0017158116,0.0009981907,0.00056213356,0.001436257,0.00019414781],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0070154187,0.00038533536,0.0011096367,0.00096443226,0.00049289444,0.00019576034,0.00064777763,0.0005815831,0.00018249542],"category_scores_gemma":[0.008402813,0.0005165819,0.0003600756,0.0005855403,0.00013648323,0.00024589847,0.0002884958,0.0006842606,0.00013903959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004964399,0.0013348807,0.05755641,0.0011224721,0.002546298,0.000001418201,0.0012610913,0.067900285,0.0004600802,0.57505333,0.28896415,0.0033031763],"study_design_scores_gemma":[0.005532584,0.0010855314,0.07767376,0.00050135894,0.00015710067,0.00012569621,0.0013272848,0.029145863,0.0039921547,0.70919997,0.16822775,0.0030309313],"about_ca_topic_score_codex":0.0027509702,"about_ca_topic_score_gemma":0.00032937797,"teacher_disagreement_score":0.87520593,"about_ca_system_score_codex":0.007868529,"about_ca_system_score_gemma":0.002196656,"threshold_uncertainty_score":0.9999498},"labels":[],"label_agreement":null},{"id":"W3193751809","doi":"","title":"Methodology for Adding a Variable to a Synthetic Population from Aggregate Data: Example of the Income Variable","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Variable (mathematics); Aggregate (composite); Econometrics; Economics; Population; Aggregate data; Computer science; Mathematics; Statistics; Sociology; Demography","score_opus":0.14719173814131437,"score_gpt":0.25730582989787837,"score_spread":0.110114091756564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193751809","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30852637,0.0013692182,0.678787,0.0014652841,0.00077229826,0.000781075,0.0020357477,0.000034753208,0.006228228],"genre_scores_gemma":[0.5631182,0.0001645485,0.43220335,0.000098231845,0.000027818614,0.000120956145,0.0025480168,0.000038002658,0.0016808407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99665797,0.0012911006,0.0008350904,0.0009236931,0.00006343018,0.00022874151],"domain_scores_gemma":[0.99414116,0.0018336714,0.0010119383,0.0027692867,0.00017157444,0.000072361356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007954129,0.00019811458,0.00055297016,0.00011938013,0.00019826039,0.0001568235,0.001252691,0.00023222441,0.00041247724],"category_scores_gemma":[0.0029386452,0.00022275487,0.00012983748,0.00021968117,0.000064876425,0.00018246459,0.0022108913,0.00023811116,0.000020822576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034997884,0.0005798005,0.12281414,0.00052236504,0.00051352824,3.9533526e-7,0.008411589,0.011785384,0.0023338269,0.84383506,0.0007124548,0.008456452],"study_design_scores_gemma":[0.0020865018,0.0000028013962,0.22438642,0.00441992,0.0003179384,0.000006355003,0.00046017664,0.27660924,0.013764302,0.41311315,0.06318686,0.0016463238],"about_ca_topic_score_codex":0.02686892,"about_ca_topic_score_gemma":0.001198975,"teacher_disagreement_score":0.4307219,"about_ca_system_score_codex":0.00020913784,"about_ca_system_score_gemma":0.00008103515,"threshold_uncertainty_score":0.9796112},"labels":[],"label_agreement":null},{"id":"W3194083922","doi":"10.2139/ssrn.3901895","title":"The Impact of a Government Risk Pool and an Opt-Out Framing on Demand for Earthquake Protection","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Framing (construction); Business; Opt-out; Government (linguistics); Geography; Advertising","score_opus":0.03245014082298924,"score_gpt":0.23621431039647411,"score_spread":0.20376416957348487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194083922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97485733,0.0021563058,0.022328611,0.00012974832,0.00007314104,0.00017708383,0.000037965547,0.0000025517552,0.00023724661],"genre_scores_gemma":[0.9939855,0.0053365687,0.0000628811,0.0000110080555,0.00010111096,0.000014958588,0.0000026393627,0.000011995724,0.00047338562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990112,0.000029178973,0.00029677196,0.00016060585,0.000033628367,0.00046862446],"domain_scores_gemma":[0.9994432,0.000042046693,0.00035372982,0.00011459728,0.000008035374,0.000038438986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001601251,0.00008065779,0.00014271299,0.000021389014,0.00025999502,0.00005481542,0.00006006686,0.000045317578,0.00002143789],"category_scores_gemma":[0.00007773464,0.00006808435,0.00010523482,0.000025645471,0.00002469709,0.00014187743,0.000013946985,0.00034574058,0.000009488217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050424406,0.000436957,0.38049412,0.00002175715,0.0011666984,8.871362e-7,0.0011912024,0.011041745,0.0007414005,0.26598638,0.000063072424,0.33835155],"study_design_scores_gemma":[0.0016719467,0.0021883536,0.5664896,0.000014068643,0.000027544791,0.000052196792,0.0014104965,0.014610323,0.00062032056,0.41205207,0.00065488345,0.00020819392],"about_ca_topic_score_codex":0.0000817414,"about_ca_topic_score_gemma":0.00035538882,"teacher_disagreement_score":0.33814335,"about_ca_system_score_codex":0.0007643567,"about_ca_system_score_gemma":0.00009023663,"threshold_uncertainty_score":0.27763993},"labels":[],"label_agreement":null},{"id":"W3194416414","doi":"10.1561/112.00000541","title":"Designing Voluntary Subsidies for Forest Owners under Imperfect Information","year":2021,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Agence Nationale de la Recherche; European Commission; Alberta Machine Intelligence Institute","keywords":"Subsidy; Turnover; Imperfect; Perfect information; Natural resource economics; Economics; Business; Forestry; Environmental science; Microeconomics; Geography; Market economy","score_opus":0.05857575700544583,"score_gpt":0.20857170280315107,"score_spread":0.14999594579770525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194416414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413236,0.00070671516,0.054833546,0.0005674681,0.00083592354,0.0001397283,0.000058104826,0.0000071149916,0.0015278126],"genre_scores_gemma":[0.9891615,0.0009581428,0.008747499,0.00056963786,0.00026290608,0.000010862205,0.00006967665,0.000023883156,0.00019592723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984144,0.000010992258,0.0011638603,0.00015550776,0.000020943433,0.00023426954],"domain_scores_gemma":[0.99843323,0.000116993135,0.0011293882,0.00017477977,0.00005217564,0.00009342231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076589617,0.0001495557,0.00041682756,0.00020087948,0.000112535105,0.00011364395,0.00016318189,0.0001074651,0.00013104381],"category_scores_gemma":[0.000089212015,0.00017091288,0.00028001482,0.00005304106,0.000047549347,0.0016231451,0.00004026288,0.00013165669,0.00014044132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008039166,0.000062683735,0.76522905,0.000058062873,0.00021142716,0.0000020532445,0.0005599823,0.13716894,0.00003919926,0.09320765,0.0018804313,0.001500116],"study_design_scores_gemma":[0.0035367478,0.0004331508,0.7586742,0.000047340363,0.000078170815,0.0001642399,0.0019950874,0.016619567,0.0010217376,0.1806679,0.036128026,0.0006338261],"about_ca_topic_score_codex":0.00004755492,"about_ca_topic_score_gemma":0.0001624569,"teacher_disagreement_score":0.12054938,"about_ca_system_score_codex":0.0004437978,"about_ca_system_score_gemma":0.00008398591,"threshold_uncertainty_score":0.6969625},"labels":[],"label_agreement":null},{"id":"W3195682918","doi":"10.3386/w29144","title":"The Impact of a Government Risk Pool and an Opt-Out Framing on Demand for Earthquake Protection","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Institute for Catastrophic Loss Reduction","keywords":"Framing (construction); Business; Engineering; Civil engineering","score_opus":0.44562809311954904,"score_gpt":0.4586240468275989,"score_spread":0.012995953708049846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195682918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9141141,0.003534071,0.00034925764,0.00023354794,0.0004871197,0.0021536006,0.0028602446,0.0000071064255,0.07626091],"genre_scores_gemma":[0.9910773,0.0051593115,0.00010747243,0.000003746261,0.00038908303,0.0002714767,0.00020728513,0.000038131962,0.0027461937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99775594,0.00009573867,0.0010082015,0.0005731253,0.0002816478,0.00028532976],"domain_scores_gemma":[0.99760914,0.00071232085,0.0010860156,0.00033775874,0.00017206844,0.00008272632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00783661,0.00019325345,0.0005303111,0.00021604622,0.0002775478,0.000094509385,0.000225697,0.00028143733,0.00019480518],"category_scores_gemma":[0.0010957727,0.00018287357,0.00026745306,0.000052990756,0.00019636273,0.00018356924,0.000096238466,0.00040797866,0.00003641041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015658443,0.0015539902,0.27812707,0.0011191578,0.004959428,0.0000023000555,0.0014639545,0.06420008,0.0002970769,0.49749735,0.020098368,0.12911537],"study_design_scores_gemma":[0.0022261192,0.002466288,0.5523303,0.00019071226,0.00004073105,0.000010944565,0.00038781436,0.03711275,0.0006177577,0.39241916,0.011555124,0.00064226845],"about_ca_topic_score_codex":0.0021430315,"about_ca_topic_score_gemma":0.00033405243,"teacher_disagreement_score":0.27420327,"about_ca_system_score_codex":0.0025542707,"about_ca_system_score_gemma":0.00044611076,"threshold_uncertainty_score":0.7457368},"labels":[],"label_agreement":null},{"id":"W3198337461","doi":"","title":"Optimal Environmental Targeting in the Amazon Rainforest","year":2019,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; University of Toronto","funders":"University of Toronto Mississauga; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Toronto","keywords":"Counterfactual thinking; Deforestation (computer science); Amazon rainforest; Enforcement; Greenhouse gas; Rainforest; Order (exchange); Government (linguistics); Natural resource economics; Resource (disambiguation); Business; Economics; Environmental resource management; Computer science; Political science; Ecology; Finance","score_opus":0.0472507411644087,"score_gpt":0.24494966648718242,"score_spread":0.19769892532277372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198337461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8902462,0.00021182204,0.0000029185312,0.00026210572,0.00014445581,0.00047985863,0.00003097946,0.0000071873624,0.108614475],"genre_scores_gemma":[0.99590844,0.0018962529,0.00023789806,0.00021101076,0.00007781189,0.00008438,0.000058854668,0.000030339104,0.0014949868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799085,0.00007436031,0.0007278773,0.0005469055,0.00006119953,0.0005988221],"domain_scores_gemma":[0.9990581,0.00024135335,0.00016766974,0.00046826142,0.0000020533294,0.00006255986],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003130012,0.00016329833,0.00030644826,0.00029885903,0.000099776305,0.00008244515,0.00047505583,0.00013274366,0.0012685485],"category_scores_gemma":[0.00007843221,0.00017250245,0.000097041906,0.00010063937,0.00015193707,0.00032585338,0.00015987143,0.00050658913,0.001336877],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025245627,0.00012609865,0.9687717,0.00001099772,0.00001346271,0.0000047626822,0.0010382707,0.017784493,0.000062164174,0.005456308,0.00007644604,0.0066300267],"study_design_scores_gemma":[0.0013714257,0.00014264685,0.9174403,0.000015699801,0.0000011219533,0.000006663344,0.0041168397,0.029915899,0.000033231703,0.0017787504,0.04481746,0.00035996325],"about_ca_topic_score_codex":0.00008283751,"about_ca_topic_score_gemma":0.00003796692,"teacher_disagreement_score":0.10711949,"about_ca_system_score_codex":0.00080878177,"about_ca_system_score_gemma":0.000021325272,"threshold_uncertainty_score":0.9996444},"labels":[],"label_agreement":null},{"id":"W3198864501","doi":"10.1080/07011784.2021.1957718","title":"Testing household preferences for the importance of the frequency and severity of water quality impairment","year":2021,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Victoria; Brock University","funders":"","keywords":"Scope (computer science); Mixed logit; Preference; Logit; Index (typography); Quality (philosophy); Latent class model; Ordered logit; Logistic regression; Water quality; Quality of life (healthcare); Environmental health; Psychology; Business; Public economics; Econometrics; Economics; Statistics; Computer science; Medicine; Microeconomics; Mathematics; Ecology; Biology","score_opus":0.10730236294294812,"score_gpt":0.2134375613714478,"score_spread":0.10613519842849967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198864501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99514645,0.0027413967,0.000023623503,0.00086762954,0.00014124573,0.00022985447,0.00030322958,0.0000048440766,0.00054174813],"genre_scores_gemma":[0.9988386,0.000261583,0.00031186102,0.00019925108,0.00010080922,0.000018983157,0.000010322758,0.00002248088,0.0002360899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824995,0.000084507716,0.000851754,0.00028589717,0.000036111163,0.0004917826],"domain_scores_gemma":[0.9987607,0.000121974685,0.00043554007,0.00035315347,0.00007618942,0.00025242494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013482339,0.00016530459,0.00038168326,0.00010416966,0.0004995404,0.00009401225,0.00037733914,0.000088644025,0.0000970199],"category_scores_gemma":[0.00019750347,0.0001020212,0.00014984554,0.00008595651,0.0003776604,0.00017055153,0.000064907596,0.00019093984,0.0000013238824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007516317,0.000013035766,0.9362131,0.00013177612,0.000092128925,0.0000053458243,0.06170576,0.0004558401,0.00069542095,0.000075678945,0.000006966204,0.00059746596],"study_design_scores_gemma":[0.00036193582,0.000115736046,0.92768776,0.00014218694,0.000040224844,0.00016937923,0.0014496909,0.00030366165,0.008765232,0.02889303,0.03178788,0.00028325492],"about_ca_topic_score_codex":0.07792615,"about_ca_topic_score_gemma":0.29307234,"teacher_disagreement_score":0.21514618,"about_ca_system_score_codex":0.00035197128,"about_ca_system_score_gemma":0.000009963153,"threshold_uncertainty_score":0.928214},"labels":[],"label_agreement":null},{"id":"W3199222374","doi":"","title":"Stochastic Dynamic Revealed Preferences for Non-Linear Budget Constraints","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Estimator; Discounting; Econometrics; Inference; Nonparametric statistics; Exponential function; Parametric statistics; Function (biology); Preference; Computer science; Mathematical optimization; Mathematics; Economics; Statistics","score_opus":0.03614681229458015,"score_gpt":0.23122104851265282,"score_spread":0.19507423621807268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199222374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48825327,0.0005837001,0.5092403,0.0005954548,0.00026149506,0.00022315365,0.000072115894,0.000011275676,0.0007592436],"genre_scores_gemma":[0.9948024,0.0013452519,0.00043512578,0.000064130996,0.0001357808,0.00002847159,0.000009421076,0.000023093711,0.003156305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980916,0.000011752583,0.00050182745,0.00027352755,0.000029994133,0.0010913325],"domain_scores_gemma":[0.9993322,0.0000763318,0.00036874964,0.0001387455,0.000014293317,0.000069693524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014272653,0.00013744966,0.00025883142,0.00010662647,0.00013675353,0.000024095554,0.00020359489,0.000080665326,0.00032092427],"category_scores_gemma":[0.00009070228,0.00011712687,0.00012443025,0.00004004492,0.000099352656,0.00024042965,0.000020985646,0.00028212817,0.00054305576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021020428,0.00026797628,0.106618196,0.000033452245,0.00075669726,0.0000010967244,0.00035523454,0.0008487684,0.0007616368,0.7791921,0.00042872556,0.11052595],"study_design_scores_gemma":[0.0025588726,0.00046926425,0.02681304,0.000035452336,0.00002012993,0.00007315876,0.00030248924,0.0042939545,0.00002191621,0.96461105,0.00046551117,0.0003351372],"about_ca_topic_score_codex":0.000009930032,"about_ca_topic_score_gemma":0.000065994245,"teacher_disagreement_score":0.50880516,"about_ca_system_score_codex":0.0010125467,"about_ca_system_score_gemma":0.00020942283,"threshold_uncertainty_score":0.69800645},"labels":[],"label_agreement":null},{"id":"W3206314104","doi":"10.1111/ajae.12268","title":"Using inferred valuation to quantify survey and social desirability bias in stated preference research","year":2021,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Alberta; University of Saskatchewan","funders":"","keywords":"Referendum; Preference; Social desirability bias; Social desirability; Contingent valuation; General Social Survey; Survey data collection; Referent; Social preferences; Valuation (finance); Survey instrument; Survey research; Reporting bias; Social psychology; Psychology; Willingness to pay; Economics; Statistics; Political science; Microeconomics; MEDLINE; Applied psychology; Mathematics","score_opus":0.6932762573644689,"score_gpt":0.3655499014428434,"score_spread":0.32772635592162547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206314104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986005,0.000105022154,0.0002784775,0.00057356857,0.00012701072,0.00012649364,0.00005868452,0.000002724474,0.00012752102],"genre_scores_gemma":[0.99738616,0.0002225873,0.0021823333,0.00008455708,0.000058753467,0.000002669616,0.000029541072,0.000009491373,0.000023897543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777335,0.0002701435,0.0013639058,0.00029708666,0.000043841406,0.00025168966],"domain_scores_gemma":[0.9981881,0.00023271442,0.0012361245,0.000104797495,0.00014089757,0.000097405136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041960347,0.00012142232,0.00054779305,0.00019855102,0.00010256688,0.00010747621,0.0001370563,0.000055370787,0.00004137808],"category_scores_gemma":[0.00057451456,0.00012012896,0.00007174857,0.00034676734,0.00013838644,0.00043134863,0.00008642681,0.00025417836,0.000030515737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043502543,0.000072172894,0.9875705,0.0000061562273,0.000035812052,9.698357e-7,0.0013123843,0.006338341,0.0003200982,0.00184177,0.000030339763,0.0024279214],"study_design_scores_gemma":[0.0003745671,0.00015701253,0.99391186,0.000009831254,0.0000035770734,0.000016400674,0.002027833,0.00084098085,0.00017816358,0.0022679954,0.000056863104,0.00015491215],"about_ca_topic_score_codex":0.0009866973,"about_ca_topic_score_gemma":0.0007768984,"teacher_disagreement_score":0.006341332,"about_ca_system_score_codex":0.00069754897,"about_ca_system_score_gemma":0.00008708195,"threshold_uncertainty_score":0.48987168},"labels":[],"label_agreement":null},{"id":"W3206388522","doi":"","title":"Price premium for green open space and tree cover in the city of Buenos Aires","year":2017,"lang":"en","type":"article","venue":"El Servicio de Difusión de la Creación Intelectual (National University of La Plata)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Cover (algebra); Space (punctuation); Tree (set theory); Geography; Economics; Forestry; Mathematics; Computer science; Combinatorics; Engineering","score_opus":0.06493744714746692,"score_gpt":0.2568934420872501,"score_spread":0.19195599493978321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206388522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9274296,0.00004672181,0.0016105981,0.0009024054,0.000012271122,0.0002458698,0.00026679182,0.000003316646,0.06948244],"genre_scores_gemma":[0.9984178,0.000082601386,0.0007361129,0.00009936315,0.000017007673,0.0000023366902,0.000034001125,0.0000065397157,0.00060424884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941087,0.00004347686,0.00017886075,0.00019306318,0.000048368267,0.0001253796],"domain_scores_gemma":[0.9989461,0.00049263507,0.00032538158,0.00017484397,0.000029063725,0.000032011587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095753674,0.00008259706,0.00020562144,0.00009897756,0.00017455708,0.000059648894,0.00062107976,0.00010596581,0.00018128975],"category_scores_gemma":[0.00023106705,0.000098632736,0.0000499274,0.000041654286,0.00020122259,0.00037256637,0.00019982863,0.00010468618,0.000006944812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033713467,0.00028609112,0.61037725,0.00009388757,0.00011387766,0.0000035050186,0.008126324,0.00038600876,0.0003687838,0.37826094,0.0009322566,0.0007138964],"study_design_scores_gemma":[0.0012618031,0.00007171773,0.9314141,0.000025741132,0.000011830849,0.000006165296,0.0006379767,0.006146872,0.000206221,0.051043935,0.009050853,0.00012276704],"about_ca_topic_score_codex":0.008354578,"about_ca_topic_score_gemma":0.001562957,"teacher_disagreement_score":0.327217,"about_ca_system_score_codex":0.000170005,"about_ca_system_score_gemma":0.000056608984,"threshold_uncertainty_score":0.9982489},"labels":[],"label_agreement":null},{"id":"W3208597255","doi":"10.1186/s12913-021-07183-9","title":"Preferences of Iranians to select the emergency department physician at the time of service delivery","year":2021,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Guilan University of Medical Sciences","keywords":"Health informatics; Health administration; Medicine; Nursing research; Family medicine; Emergency department; Willingness to pay; Preference; Public health; Health economics; Health care; Population; Service (business); Health services research; Nursing; Medical emergency; Environmental health; Marketing; Business","score_opus":0.1463401728336581,"score_gpt":0.3313601929902631,"score_spread":0.185020020156605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208597255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99044555,0.003159083,0.000028625,0.0025132902,0.00007277276,0.0005384233,0.00018493108,0.0000048685392,0.0030524568],"genre_scores_gemma":[0.9962273,0.0011630056,0.000138293,0.0013445582,0.00005658941,0.00007149214,0.000057696925,0.000014327126,0.0009267149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833876,0.00022067655,0.0006395382,0.00031143147,0.00013632228,0.00035329396],"domain_scores_gemma":[0.9988943,0.00017926419,0.00026652394,0.0004841788,0.00009247115,0.00008330272],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018798284,0.000092449816,0.00026838545,0.00007145465,0.00028297352,0.000014959907,0.00043398267,0.000042217696,0.0012026184],"category_scores_gemma":[0.000010805867,0.00007175609,0.000067013774,0.0005503563,0.00004102047,0.000088951645,0.0002934843,0.000119965654,0.0013062607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020153093,0.0006582925,0.9490142,0.0026704932,0.00021799449,5.527983e-7,0.025721537,0.0058976086,0.001739615,0.005352444,0.002765356,0.0057603624],"study_design_scores_gemma":[0.00031433796,0.0002291897,0.9766933,0.00006897788,0.000005172192,8.7950775e-7,0.003535783,0.005253963,0.0023708784,0.0026302114,0.008765271,0.00013205323],"about_ca_topic_score_codex":0.002379989,"about_ca_topic_score_gemma":0.0074794143,"teacher_disagreement_score":0.02767907,"about_ca_system_score_codex":0.00019977763,"about_ca_system_score_gemma":0.000118554985,"threshold_uncertainty_score":0.99971044},"labels":[],"label_agreement":null},{"id":"W3211273235","doi":"10.1016/j.trb.2022.02.007","title":"A multinomial probit model with Choquet integral and attribute cut-offs","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"H2020 European Research Council","keywords":"Multinomial probit; Interpretability; Choquet integral; Econometrics; Discrete choice; Monotonic function; Computer science; Multinomial distribution; Probit; Ranking (information retrieval); Mathematical optimization; Multinomial logistic regression; Machine learning; Mathematics; Artificial intelligence; Fuzzy logic","score_opus":0.7117521360959048,"score_gpt":0.4002456068490315,"score_spread":0.31150652924687333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211273235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589053,0.00016024709,0.037991438,0.0010287062,0.000058814778,0.00054268254,0.0003855885,0.000036002646,0.00089126785],"genre_scores_gemma":[0.9733338,0.000105904845,0.024400441,0.00015781246,0.000041014227,0.0005243184,0.0002605168,0.000019003639,0.0011572317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981287,0.00033775883,0.00047512408,0.0005585188,0.00012578045,0.0003741278],"domain_scores_gemma":[0.9992207,0.00031829768,0.00013764878,0.00017896964,0.00002165154,0.00012271508],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0050520482,0.0001314438,0.0003318991,0.0001603471,0.00039900618,0.000034631048,0.00017082912,0.00007548377,0.0015708348],"category_scores_gemma":[0.00010021973,0.0001262034,0.00006241957,0.00019124562,0.00023139708,0.00017218295,0.000035505254,0.0005694892,0.000062604755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006793333,0.00037118897,0.7852539,0.000043603068,0.00008742915,0.000023957824,0.002383131,0.05952312,0.00025749046,0.14809649,0.0019303791,0.0013499873],"study_design_scores_gemma":[0.0028499677,0.001186201,0.88127667,0.000010617742,0.000016837903,0.000009074383,0.0013230069,0.0574474,0.00026776106,0.036671665,0.018404363,0.00053641206],"about_ca_topic_score_codex":0.00019787032,"about_ca_topic_score_gemma":0.00009236056,"teacher_disagreement_score":0.111424826,"about_ca_system_score_codex":0.00015767687,"about_ca_system_score_gemma":0.000028976569,"threshold_uncertainty_score":0.99934185},"labels":[],"label_agreement":null},{"id":"W321301142","doi":"10.1093/wjaf/19.1.47","title":"The Effects of Fire on Recreation Demand in Montana","year":2004,"lang":"en","type":"article","venue":"Western Journal of Applied Forestry","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Recreation; Geography; Prescribed burn; TRIPS architecture; Environmental science; Forestry; Agricultural economics; Transport engineering; Ecology; Economics; Engineering; Biology","score_opus":0.023552369109247927,"score_gpt":0.1948948105001334,"score_spread":0.17134244139088547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W321301142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99631834,0.00055507204,0.00032269335,0.00011720177,0.000140948,0.000106628984,0.0000019512436,0.0000014291747,0.0024357147],"genre_scores_gemma":[0.99915147,0.0005790157,0.00012339895,0.000048072012,0.000048561997,0.0000046759596,0.0000012824896,0.000008323341,0.000035212135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928033,0.000004410949,0.0005070036,0.00008284865,0.000032014956,0.000093402195],"domain_scores_gemma":[0.9992686,0.00006815913,0.00052222767,0.00010731471,0.0000037460475,0.000029935249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032937698,0.00006650819,0.00018567841,0.00005872033,0.00003412765,0.000014233167,0.0001156334,0.00005457713,0.0000065514046],"category_scores_gemma":[0.000019779893,0.000056699206,0.00005327752,0.000041387768,0.00003543977,0.000084369574,0.000012515887,0.00011803933,0.00003390368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003826799,0.00029881104,0.83363,0.00009763545,0.00010623464,0.000015844718,0.0014843413,0.042009875,0.00040302784,0.11100917,0.00007188341,0.010490451],"study_design_scores_gemma":[0.0018403972,0.00027966293,0.9185797,0.00009494172,0.000006982946,0.00000704725,0.00011655641,0.00008549631,0.0024746177,0.07618339,0.00024263831,0.00008854313],"about_ca_topic_score_codex":0.000017441767,"about_ca_topic_score_gemma":0.00001906309,"teacher_disagreement_score":0.08494968,"about_ca_system_score_codex":0.00013790124,"about_ca_system_score_gemma":0.000010402025,"threshold_uncertainty_score":0.23121265},"labels":[],"label_agreement":null},{"id":"W3213092703","doi":"10.3390/jrfm14110541","title":"Skewed Binary Regression to Study Rental Cars by Tourists in the Canary Islands","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad","keywords":"Renting; Tourism; Logistic regression; Automotive industry; Product (mathematics); Gross domestic product; Business; Logit; Car ownership; Work (physics); Marketing; Econometrics; Economics; Computer science; Transport engineering; Public transport; Engineering; Geography; Economic growth","score_opus":0.023726614066539337,"score_gpt":0.21302773640974784,"score_spread":0.1893011223432085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213092703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951818,0.0021659022,0.0005932337,0.00032787718,0.0002893288,0.00016861141,0.000029960553,0.0000014901443,0.0012418078],"genre_scores_gemma":[0.9968948,0.0022745053,0.000256185,0.00028126346,0.000079694575,0.000007896884,0.0000054166912,0.0000065933846,0.00019364433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909616,0.000048930204,0.0004941113,0.00017579482,0.00005718388,0.000127848],"domain_scores_gemma":[0.999526,0.000023837925,0.00026329645,0.00013503757,0.0000072279845,0.000044598477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085235207,0.00009237517,0.00023163488,0.00013470589,0.000097106466,0.000035872643,0.00013193418,0.0000329411,0.00005323582],"category_scores_gemma":[0.00003311103,0.00007758592,0.000056627126,0.00015303679,0.000013653932,0.00010821796,0.00008603546,0.00014405251,0.000015724418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006515181,0.00055961846,0.94929105,0.000009738869,0.000027885479,0.0002492542,0.0050417194,0.00012628232,0.000007433293,0.0009876479,0.010936117,0.032698117],"study_design_scores_gemma":[0.0010477366,0.0002563846,0.97058505,0.000021220692,0.000018294848,0.000012203448,0.0033863992,0.0000326042,0.000008417611,0.0021513985,0.022385767,0.000094540526],"about_ca_topic_score_codex":0.00016570007,"about_ca_topic_score_gemma":0.00011830564,"teacher_disagreement_score":0.032603577,"about_ca_system_score_codex":0.00009832521,"about_ca_system_score_gemma":0.0000073491165,"threshold_uncertainty_score":0.31638622},"labels":[],"label_agreement":null},{"id":"W3214630952","doi":"10.1101/2022.04.14.488290","title":"Context-dependent choice and evaluation in real-world consumer behavior","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Army Research Office; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Choice set; Valuation (finance); Context (archaeology); Context effect; Set (abstract data type); Consumer choice; Computer science; Intertemporal choice; Value (mathematics); Psychology; Microeconomics; Economics; Econometrics; Machine learning; Mathematics","score_opus":0.08221994029294805,"score_gpt":0.25326936237714365,"score_spread":0.1710494220841956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214630952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99132055,0.005275602,0.000040840296,0.000114152645,0.0010404206,0.0013489046,0.0005321393,0.000067126,0.00026027186],"genre_scores_gemma":[0.9965422,0.0014576851,0.0002871443,0.00016292953,0.000113462236,0.0013004234,0.0000031626491,0.000086028806,0.0000469217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99726886,0.00010661468,0.0009614936,0.0011570064,0.0001368535,0.00036915558],"domain_scores_gemma":[0.9982496,0.00007110392,0.00067011267,0.00083425915,0.000037358735,0.00013756487],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00221444,0.00037055553,0.00066469755,0.0005294978,0.0001378419,0.00013742693,0.00030318808,0.00025077342,0.0018637012],"category_scores_gemma":[0.00010995048,0.00053562096,0.00011369307,0.0002075248,0.00009262381,0.00023868683,0.0004991044,0.00062971155,0.0002092013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006819421,0.00016455192,0.9939568,0.000064615626,0.00007882245,0.00000533087,0.000022448627,0.00041022344,0.0007912299,0.0043948125,0.00008330454,0.000021030522],"study_design_scores_gemma":[0.0010153,0.000025719028,0.9900887,0.000037359423,0.00007732904,7.2252058e-9,0.000009632484,0.001645024,0.0004644329,0.000038010356,0.006030003,0.0005684973],"about_ca_topic_score_codex":0.0026566973,"about_ca_topic_score_gemma":0.00024843894,"teacher_disagreement_score":0.0059466986,"about_ca_system_score_codex":0.0015714368,"about_ca_system_score_gemma":0.00012266553,"threshold_uncertainty_score":0.99970955},"labels":[],"label_agreement":null},{"id":"W3214710037","doi":"10.1017/s1355770x21000346","title":"Investigating the role of spatial spillovers as determinants of land conversion in urbanizing Canada","year":2021,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Endowment; Spillover effect; Economic geography; Land use; Natural resource; Metropolitan area; Geography; Spatial econometrics; Population; Natural resource economics; Economics; Ecology; Econometrics","score_opus":0.026701395060410235,"score_gpt":0.16016129597936926,"score_spread":0.13345990091895904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214710037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749863,0.0007299066,0.000022862743,0.000056730885,0.00007798463,0.000091063994,0.00001746377,0.0000012793871,0.0015040688],"genre_scores_gemma":[0.998479,0.0005780689,0.0007008368,0.000091571455,0.000010483864,0.0000052334153,0.000019004041,0.000009322463,0.00010648343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990115,0.000010994104,0.0005928759,0.00022680577,0.00002422659,0.00013356732],"domain_scores_gemma":[0.9994377,0.000043421565,0.00034639286,0.0001294687,0.0000019134575,0.00004110257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002527504,0.0001007754,0.0002539322,0.000037755413,0.000051531944,0.000008969064,0.00007867538,0.000045268273,0.000245587],"category_scores_gemma":[0.000018281482,0.000110963345,0.00002176174,0.000020335947,0.00006859266,0.00009175899,0.00010936768,0.000056688794,0.000021878017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029429784,0.000017081433,0.99564683,0.00001165994,0.000014822745,5.842667e-7,0.00046700533,0.00072502624,0.00005908039,0.00072604057,0.0000049102355,0.0023240012],"study_design_scores_gemma":[0.0005119701,0.000015535015,0.9708735,0.000015772737,0.0000032484168,0.0000024389906,0.0008194011,0.002340461,0.015034694,0.0013942259,0.008832774,0.00015600125],"about_ca_topic_score_codex":0.034252167,"about_ca_topic_score_gemma":0.025916966,"teacher_disagreement_score":0.024773367,"about_ca_system_score_codex":0.00024589145,"about_ca_system_score_gemma":0.000102623366,"threshold_uncertainty_score":0.9918575},"labels":[],"label_agreement":null},{"id":"W3215069479","doi":"10.7202/1083907ar","title":"Effets des infrastructures linéaires sur la biomasse des insectes nocturnes à l’échelle du paysage","year":2021,"lang":"fr","type":"article","venue":"Le Naturaliste canadien","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Forestry; Humanities; Geography; Art","score_opus":0.031050713325521083,"score_gpt":0.19294570343866876,"score_spread":0.16189499011314767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215069479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90534145,0.08056285,0.00006709871,0.002617082,0.0016669956,0.00015553077,0.0006516568,0.000031830787,0.008905531],"genre_scores_gemma":[0.97827137,0.004691884,0.0015615666,0.0006613629,0.00031892827,0.000017199069,0.00025638318,0.000062030296,0.014159309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787444,0.0001232667,0.00065764756,0.00065343763,0.000053705662,0.00063751],"domain_scores_gemma":[0.99867994,0.00029973674,0.0003249881,0.0003890646,0.00006379803,0.00024247554],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003700501,0.0003558182,0.0005267834,0.00016758767,0.0004180349,0.00025300044,0.00028584842,0.00042194154,0.0012157526],"category_scores_gemma":[0.0005298079,0.00044890188,0.00023193385,0.00029647263,0.00066940725,0.00073915045,0.00016318969,0.00034577088,0.00013749495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023432169,0.00013449138,0.9186996,0.00042707508,0.0003227359,0.0002645721,0.004868664,0.0012514892,0.000657548,0.042746216,0.008080716,0.022523431],"study_design_scores_gemma":[0.0009985297,0.000058600177,0.90817237,0.00012725778,0.000038336282,0.00019686221,0.00040217346,0.0015557198,0.0025945269,0.025011139,0.060271874,0.0005726397],"about_ca_topic_score_codex":0.07177908,"about_ca_topic_score_gemma":0.104097195,"teacher_disagreement_score":0.07587097,"about_ca_system_score_codex":0.0009055391,"about_ca_system_score_gemma":0.00015034435,"threshold_uncertainty_score":0.9997963},"labels":[],"label_agreement":null},{"id":"W3215257462","doi":"10.35784/pe.2022.1.20","title":"Air Pollution Regulations in China: A Policy Simulation Approach with Evolutionary Game","year":2021,"lang":"en","type":"article","venue":"Problemy Ekorozwoju","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Decentralization; China; Context (archaeology); Public economics; Business; Transfer payment; Payment; Economics; Politics; Command and control; Environmental economics; Environmental planning; Political science; Finance; Market economy; Engineering; Environmental science","score_opus":0.047927699691957086,"score_gpt":0.2168692882165906,"score_spread":0.1689415885246335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215257462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86722326,0.0015825572,0.0649757,0.005486058,0.00011088734,0.00071689766,0.00012041906,0.000096870936,0.05968733],"genre_scores_gemma":[0.9918302,0.00006794152,0.005826541,0.00031005085,0.00010204282,0.00008016367,0.00022187679,0.000026714262,0.0015344478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986871,0.00003090273,0.00050590007,0.00046459268,0.00004813801,0.00026335364],"domain_scores_gemma":[0.9994205,0.000017994933,0.0002197181,0.00026767518,0.000015014935,0.00005908911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002683702,0.00014902253,0.00024770363,0.0002679374,0.000096540134,0.000027589002,0.0000858755,0.00010424346,0.00020880885],"category_scores_gemma":[0.000048501264,0.00017618781,0.00006187576,0.0004701389,0.000057307854,0.00048024554,0.00005055539,0.00012933224,0.00022259573],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000149096395,0.00020902557,0.18384765,0.000025628053,0.000021915326,0.0000012741338,0.0005883853,0.7049071,0.000020817979,0.109778434,0.00007109551,0.000513725],"study_design_scores_gemma":[0.00076497596,0.00003235722,0.810297,0.000017250928,0.0000047455324,0.000007903632,0.00007894501,0.13557027,0.000019923642,0.050634984,0.0023589453,0.00021267906],"about_ca_topic_score_codex":0.00031386947,"about_ca_topic_score_gemma":0.00005809335,"teacher_disagreement_score":0.62644935,"about_ca_system_score_codex":0.00060866686,"about_ca_system_score_gemma":0.00007014321,"threshold_uncertainty_score":0.718473},"labels":[],"label_agreement":null},{"id":"W3215294873","doi":"10.21203/rs.3.rs-1087750/v1","title":"Development of a Discrete Choice Experiment (DCE) questionnaire to elicit values by pregnant women and decision-makers for the expansion of a NIPS-based prenatal screening program","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval","funders":"Genome Alberta; Fonds de Recherche du Québec - Santé; Genome Canada; Genome British Columbia; Université Laval","keywords":"Prenatal screening; Psychology; Family medicine; Medicine; Obstetrics; Pregnancy; Prenatal diagnosis; Fetus; Biology","score_opus":0.11531876860466124,"score_gpt":0.3597836761565798,"score_spread":0.24446490755191858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215294873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94724876,0.0071551315,0.04215053,0.00016545047,0.000075798365,0.002894948,0.00026349397,0.000015041994,0.000030848565],"genre_scores_gemma":[0.945158,0.00036886852,0.050972287,0.000014680824,0.000031163494,0.0032048947,0.00015773684,0.00003724188,0.000055102082],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977104,0.00004775133,0.00087848405,0.0007127904,0.00023015687,0.00042041801],"domain_scores_gemma":[0.99850816,0.00039305183,0.00035918067,0.00047215755,0.00011006582,0.00015739327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022557843,0.00021415211,0.0004983978,0.00025142633,0.00023337515,0.000116822936,0.00034243028,0.00016816407,0.00006331942],"category_scores_gemma":[0.00035785773,0.00020107061,0.0001261342,0.00015526301,0.00014776536,0.00011135713,0.00070801796,0.00025925285,0.000004341022],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009746003,0.0013903311,0.09010298,0.0053750644,0.0008728497,0.0000022329139,0.043515693,0.022578875,0.001675485,0.0014098017,0.00081341795,0.8312887],"study_design_scores_gemma":[0.008127468,0.0042690393,0.60645646,0.026585726,0.00006940409,0.0000030865926,0.038053226,0.23270139,0.05865571,0.010799456,0.011537557,0.002741469],"about_ca_topic_score_codex":0.00024138454,"about_ca_topic_score_gemma":0.00003468369,"teacher_disagreement_score":0.8285472,"about_ca_system_score_codex":0.0005151905,"about_ca_system_score_gemma":0.0001575059,"threshold_uncertainty_score":0.8199422},"labels":[],"label_agreement":null},{"id":"W3215663799","doi":"10.3989/pirineos.2021.176006","title":"Efectividad de áreas de conservación privada comunal en bosques montanos nublados del norte de Perú","year":2021,"lang":"es","type":"article","venue":"Pirineos","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Directorate for Biological Sciences; WWF International; Royal Society","keywords":"Geography; Forestry; Humanities; Art","score_opus":0.04558285838909787,"score_gpt":0.23009876276349941,"score_spread":0.18451590437440155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215663799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796435,0.0032225032,0.005588977,0.0018026674,0.00026308728,0.00029709825,0.00029745954,0.000052143194,0.008832536],"genre_scores_gemma":[0.98976743,0.0027464952,0.003306694,0.0014456859,0.00033245096,0.00008256107,0.00009501512,0.000075978576,0.002147672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976011,0.00015342206,0.0007581511,0.0006871392,0.0000620224,0.00073816796],"domain_scores_gemma":[0.99854785,0.00023217776,0.00035972282,0.0005499589,0.000026647254,0.0002836551],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00085000414,0.000357217,0.0006049545,0.00012697844,0.00021212948,0.00022647723,0.0003228497,0.0003064971,0.0019682676],"category_scores_gemma":[0.00023541754,0.0005042636,0.00029300078,0.00013386465,0.00011305388,0.00033019853,0.00023504191,0.0003888436,0.0012288541],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033174325,0.00030122488,0.9856226,0.00011242022,0.00021584933,0.00006519688,0.00087059074,0.0010081966,0.0007535015,0.008199002,0.000924451,0.0018937837],"study_design_scores_gemma":[0.001123992,0.000085323285,0.9506942,0.00006632466,0.00007367862,0.00017329522,0.0002529215,0.024539983,0.001976069,0.0047062836,0.015776692,0.0005312258],"about_ca_topic_score_codex":0.0021949862,"about_ca_topic_score_gemma":0.00029860408,"teacher_disagreement_score":0.034928396,"about_ca_system_score_codex":0.0015855781,"about_ca_system_score_gemma":0.00028857094,"threshold_uncertainty_score":0.9997409},"labels":[],"label_agreement":null},{"id":"W3216577625","doi":"10.1016/j.ecoser.2021.101393","title":"Understanding the determinants of biodiversity non-use values in the context of climate change: Stated preferences for the Hawaiian coral reefs","year":2021,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; WSP (Canada); University of Waterloo","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Climate change; Coral; Context (archaeology); Coral reef; Coral reef fish; Welfare; Geography; Biodiversity; Fishery; Ecology; Biology; Economics","score_opus":0.27460515898654014,"score_gpt":0.2544440727120026,"score_spread":0.020161086274537554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216577625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970143,0.0006242969,0.00006944563,0.00031673783,0.00021490999,0.00051211513,0.0010059522,0.0000034731752,0.00023879725],"genre_scores_gemma":[0.9988066,0.0009050075,0.000022851234,0.00016188117,0.000020935498,0.00003653312,0.000031475727,0.000004992571,0.000009715537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990976,0.000056613484,0.00046699468,0.00018593833,0.000037965485,0.00015487697],"domain_scores_gemma":[0.99882734,0.0003241832,0.0005472957,0.00027057275,0.000017240216,0.000013356796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000985885,0.00009213726,0.00026767678,0.00004510786,0.0001682652,0.000055472607,0.00031709814,0.000048229842,0.00004345523],"category_scores_gemma":[0.000011286706,0.00005960508,0.00007715441,0.000112273236,0.0000406061,0.00028001258,0.000075678276,0.000050171766,0.000021901524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022664224,0.000032764136,0.989602,0.00024044272,0.00003379811,4.828768e-7,0.007957371,0.00006154609,0.000004241031,0.0017998928,0.00002411816,0.00022062047],"study_design_scores_gemma":[0.0007003762,0.00008869442,0.90154827,0.00014259838,0.00003219353,0.0000019263732,0.07055928,0.024210647,0.00024626922,0.0020384905,0.0003032922,0.00012799929],"about_ca_topic_score_codex":0.0010121537,"about_ca_topic_score_gemma":0.0119568985,"teacher_disagreement_score":0.08805382,"about_ca_system_score_codex":0.0000728642,"about_ca_system_score_gemma":0.000008001055,"threshold_uncertainty_score":0.66722304},"labels":[],"label_agreement":null},{"id":"W3216840308","doi":"10.1371/journal.pone.0260352","title":"Modelling welfare estimates in discrete choice experiments for seaweed-based renewable energy","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Crown Estate; Euskal Herriko Unibertsitatea; Queen's University; Eusko Jaurlaritza; Queen's University Belfast; Ministerio de Economía y Competitividad; Newcastle University; Biotechnology and Biological Sciences Research Council; Centre for Environment, Fisheries and Aquaculture Science","keywords":"Econometrics; Discrete choice; Renewable energy; Uncorrelated; Mixed logit; Willingness to pay; Contingent valuation; Economics; Statistics; Logistic regression; Environmental economics; Computer science; Mathematics; Ecology; Microeconomics; Biology","score_opus":0.18445373831149856,"score_gpt":0.23290389214161705,"score_spread":0.0484501538301185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216840308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90882045,0.0024756512,0.0766122,0.0010017134,0.00009154405,0.00025078873,0.00016975001,0.000036947535,0.0105409855],"genre_scores_gemma":[0.975145,0.00008166007,0.020854626,0.00015746724,0.00004598708,0.00016374432,0.00023249499,0.00002826561,0.003290764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990733,0.000006334851,0.0003481033,0.00033870447,0.000027125585,0.0002064023],"domain_scores_gemma":[0.9995859,0.000045393936,0.000116692325,0.00019715847,0.000008890444,0.00004593602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001251734,0.000104500774,0.0002677823,0.000071480805,0.00007496909,0.000037046393,0.00008170176,0.00006348413,0.0004374282],"category_scores_gemma":[0.00003666708,0.000142573,0.000054887812,0.000068476416,0.000015620668,0.00017022071,0.000029814222,0.000038511364,0.00004430252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025628598,0.0010499433,0.14568892,0.00011039035,0.00013316206,0.0000018447024,0.0001297496,0.83917177,0.0014995651,0.0119891,0.00007933286,0.000120573226],"study_design_scores_gemma":[0.0009578732,0.000037032118,0.001981676,0.000048381105,0.000012840119,1.07033124e-7,0.000051035135,0.9507722,0.03959765,0.0044972366,0.0018294659,0.0002144913],"about_ca_topic_score_codex":0.0026426876,"about_ca_topic_score_gemma":0.00016799505,"teacher_disagreement_score":0.14370725,"about_ca_system_score_codex":0.00016800959,"about_ca_system_score_gemma":0.000010238719,"threshold_uncertainty_score":0.5813958},"labels":[],"label_agreement":null},{"id":"W330367180","doi":"10.1016/j.ins.2015.05.011","title":"An ordinal ranking criterion for the subjective evaluation of alternatives and exchange reliability","year":2015,"lang":"en","type":"article","venue":"Information Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Ranking (information retrieval); Computer science; Decision maker; Reliability (semiconductor); Preference; Perception; Set (abstract data type); Normative; Choice set; Machine learning; Artificial intelligence; Data mining; Econometrics; Mathematics; Operations research; Statistics; Psychology","score_opus":0.33259951038373464,"score_gpt":0.3359485657271087,"score_spread":0.003349055343374041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W330367180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682259,0.0002675508,0.027492872,0.00024479954,0.00018011093,0.00031986085,0.000029009048,0.0000046546656,0.003235236],"genre_scores_gemma":[0.9991098,0.00003182213,0.00071447715,0.000063531144,0.000022844806,0.000043138098,0.0000077141585,0.0000011333682,0.0000055512874],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946827,0.000021892161,0.000279343,0.00009160787,0.00007523714,0.0000636439],"domain_scores_gemma":[0.99949396,0.00006749201,0.00026979716,0.0000799845,0.00006711502,0.000021643873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058565396,0.00003986879,0.00007655127,0.00007552307,0.000120380646,0.00006690134,0.00009957185,0.000018690393,0.000038650745],"category_scores_gemma":[0.00025562526,0.000032356093,0.000016851807,0.000072464354,0.00015751943,0.0021744529,0.000017216043,0.000018416,0.00001134045],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007086829,0.000059010985,0.7302186,0.000048197307,0.00002378163,8.395538e-9,0.045404904,0.033216745,0.000037524907,0.05795322,0.00018007045,0.13278706],"study_design_scores_gemma":[0.00053589593,0.00015174522,0.46742237,0.000003902342,0.0000059315266,5.9361025e-7,0.0035025622,0.48974812,0.0001378079,0.037461523,0.00096788205,0.00006166951],"about_ca_topic_score_codex":0.00019971616,"about_ca_topic_score_gemma":0.000012763101,"teacher_disagreement_score":0.45653138,"about_ca_system_score_codex":0.00007246261,"about_ca_system_score_gemma":0.000020695872,"threshold_uncertainty_score":0.20297714},"labels":[],"label_agreement":null},{"id":"W334739374","doi":"","title":"A choice modelling approach to moose management: a case study of Thunder Bay moose hunters.","year":2003,"lang":"en","type":"article","venue":"Alces","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thunder; Bay; Wildlife management; Geography; Fishery; Ecology; Biology; Wildlife; Archaeology","score_opus":0.1494169346662522,"score_gpt":0.2379951031602476,"score_spread":0.08857816849399541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W334739374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91790897,0.0003012438,0.016078522,0.000019763202,0.00008558212,0.0004595116,0.0000090213,0.000012122809,0.065125294],"genre_scores_gemma":[0.9950893,0.000042285334,0.0038693883,0.00011410721,0.000017619992,0.00007267391,0.0000030953336,0.000019473642,0.00077204336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989477,0.000020141732,0.00043474228,0.00038509665,0.0000307954,0.00018156269],"domain_scores_gemma":[0.99944985,0.000019392191,0.00016370343,0.00030151982,0.0000045966444,0.000060944614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037090972,0.00012393623,0.00024621998,0.00016162785,0.00007853435,0.000031148345,0.00012257374,0.000038905655,0.00008414465],"category_scores_gemma":[0.0000071028935,0.00014674121,0.000055480614,0.00012890172,0.000019359424,0.00020127992,0.000051089188,0.000054869586,0.00017523298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030492321,0.0030519736,0.34813672,0.00012869995,0.0005520313,0.00005216189,0.01388883,0.5140206,0.0000048038933,0.11776405,0.00023267267,0.002136938],"study_design_scores_gemma":[0.018760893,0.0028835714,0.15509827,0.0001271823,0.00049526803,0.00040503053,0.2317022,0.51687527,0.00027669937,0.045953725,0.02300126,0.0044206153],"about_ca_topic_score_codex":0.0005037502,"about_ca_topic_score_gemma":0.000046758378,"teacher_disagreement_score":0.21781337,"about_ca_system_score_codex":0.00006690288,"about_ca_system_score_gemma":0.0000020906677,"threshold_uncertainty_score":0.5983933},"labels":[],"label_agreement":null},{"id":"W344091374","doi":"","title":"Modeling Home-to-Work Route Choice Decisions Using GPS Data: A Comparison of Two Approaches for Generating Choice Sets","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Choice set; Set (abstract data type); Global Positioning System; Computer science; Logit; Discrete choice; Construct (python library); Mixed logit; Sample (material); Path (computing); Nested logit; Work (physics); Shortest path problem; Sampling (signal processing); Econometrics; Operations research; Logistic regression; Mathematics; Machine learning; Engineering","score_opus":0.6458389100014453,"score_gpt":0.42832055255481283,"score_spread":0.2175183574466325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W344091374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8710316,0.00047143595,0.12301222,0.00019588784,0.00019792149,0.002162668,0.00236301,0.00006380857,0.0005014874],"genre_scores_gemma":[0.91361845,0.0000873488,0.08387504,0.000045221008,0.0001928999,0.0004099622,0.0015467276,0.00011757941,0.00010680134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9932338,0.00028219924,0.0025404794,0.001662668,0.00087076874,0.0014100738],"domain_scores_gemma":[0.99569786,0.0012134587,0.00050521025,0.0011272379,0.00077088014,0.0006853283],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008539646,0.00040363608,0.00092966197,0.001364643,0.00094823784,0.00013846965,0.001279583,0.00028194182,0.00026205493],"category_scores_gemma":[0.0011943241,0.0004901608,0.00023557254,0.0015593763,0.00034949955,0.0013391552,0.00006566537,0.0009179608,0.000102499085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004628762,0.0005517608,0.7184114,0.00023034523,0.00016468753,0.0000036566123,0.012885058,0.25086868,0.00030432153,0.012575268,0.0004787049,0.0030632277],"study_design_scores_gemma":[0.0030635442,0.00059401715,0.49228722,0.00031727122,0.00006789683,2.2129191e-7,0.007451509,0.4866607,0.00059538847,0.006206295,0.0018811608,0.0008747871],"about_ca_topic_score_codex":0.025213603,"about_ca_topic_score_gemma":0.014672323,"teacher_disagreement_score":0.235792,"about_ca_system_score_codex":0.00033432845,"about_ca_system_score_gemma":0.0002985289,"threshold_uncertainty_score":0.999755},"labels":[],"label_agreement":null},{"id":"W348038386","doi":"10.22237/jmasm/1209616080","title":"Effect on Recreation Benefit Estimates from Correcting for On-Site Sampling Biases and Heterogeneous Trip Overdispersion in Count Data Recreation Demand Models (STATA)","year":2008,"lang":"en","type":"article","venue":"Journal of Modern Applied Statistical Methods","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Overdispersion; Mathematics; Econometrics; Quasi-likelihood; Statistics; Recreation; Truncation (statistics); Count data; Stratification (seeds); Poisson distribution","score_opus":0.30024309103720387,"score_gpt":0.36893456739484537,"score_spread":0.0686914763576415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W348038386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43269995,0.0004137781,0.56600624,0.00001595165,0.0000846372,0.00020159977,0.00044947845,0.000003985145,0.00012438967],"genre_scores_gemma":[0.6877068,0.00041694572,0.31147552,0.000056046967,0.000059415903,0.000012991414,0.00024823807,0.00002059244,0.0000034074865],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998487,0.0000686741,0.00078775914,0.00040974113,0.00007110935,0.00017571425],"domain_scores_gemma":[0.99447125,0.0046552527,0.0005551376,0.00021510287,0.000013785677,0.00008946404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022014556,0.0001731219,0.0005467934,0.00017120694,0.00013381006,0.00004452714,0.00011758094,0.00010138963,0.000032552223],"category_scores_gemma":[0.00075911265,0.00017493956,0.000044439403,0.000046049452,0.00004339194,0.0002208792,0.000045391316,0.00017445564,0.000006224649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031738018,0.00027897314,0.013403814,0.00007876829,0.00012883125,0.000009299129,0.0009501524,0.45164627,0.0017358479,0.0196277,0.000076104756,0.50889045],"study_design_scores_gemma":[0.0016984409,0.0006056874,0.013184389,0.00008691871,0.000042234136,0.000017530941,0.000021773614,0.8196752,0.0013754496,0.16308014,0.00003347218,0.00017872165],"about_ca_topic_score_codex":0.000065996144,"about_ca_topic_score_gemma":0.00000608054,"teacher_disagreement_score":0.50871176,"about_ca_system_score_codex":0.00025916944,"about_ca_system_score_gemma":0.000011920431,"threshold_uncertainty_score":0.71338284},"labels":[],"label_agreement":null},{"id":"W364796884","doi":"10.5072/prism/22961","title":"Accounting, auditing and accountability in Canada's national parks","year":2001,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Audit; Accountability; Accounting; Business; Political science; Law","score_opus":0.012152525391935603,"score_gpt":0.15099119584375106,"score_spread":0.13883867045181547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W364796884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70967793,0.0007069257,0.0000025772104,0.00040141732,0.00024210253,0.00012880267,0.00049191253,0.0000020195064,0.28834632],"genre_scores_gemma":[0.990624,0.00053962733,0.000094180046,0.0005450214,0.00005644875,0.000015974789,0.00018227748,0.000023007748,0.007919433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983571,0.000015902928,0.0006377564,0.00039166477,0.0003458844,0.00025169674],"domain_scores_gemma":[0.9990964,0.00014457921,0.0005341553,0.00011649527,4.6729647e-7,0.00010790088],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000043425647,0.00020934414,0.0003853716,0.000044175507,0.00010724055,0.000027522668,0.00014286498,0.000055991004,0.00023337244],"category_scores_gemma":[0.000010730765,0.00027048565,0.000021474263,0.000052853487,0.000028359029,0.00035150308,0.00005325912,0.00019538516,1.2968932e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008976621,0.000015731131,0.964847,0.000186421,0.000045532768,0.000008296927,0.000101752914,0.00017653311,0.00004457101,0.031080047,0.00046702503,0.0029372852],"study_design_scores_gemma":[0.0002789038,0.000009065309,0.98081905,0.00007572589,0.0000055535074,0.0000017624933,0.0032258108,0.0021099204,0.00039872105,0.005949356,0.0068272604,0.00029889977],"about_ca_topic_score_codex":0.82205343,"about_ca_topic_score_gemma":0.9919564,"teacher_disagreement_score":0.2809461,"about_ca_system_score_codex":0.00015439691,"about_ca_system_score_gemma":0.0021999455,"threshold_uncertainty_score":0.9999747},"labels":[],"label_agreement":null},{"id":"W39895612","doi":"10.1023/a:1010058117460","title":"Inequalities for Random Utility Models, with Applications to Ranking and Subset Choice Data","year":2000,"lang":"en","type":"article","venue":"Methodology And Computing In Applied Probability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Inequality; Ranking (information retrieval); Context (archaeology); Random variable; Statistics; Econometrics; Artificial intelligence; Computer science","score_opus":0.47644520964002773,"score_gpt":0.32599137960097296,"score_spread":0.15045383003905477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W39895612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5414984,0.00022413116,0.45583862,0.00015421957,0.00001277009,0.00081556896,0.00006897275,0.000015783595,0.0013715336],"genre_scores_gemma":[0.76776075,0.000027281358,0.23174675,0.00019564915,0.00002744893,0.00015649365,0.000059256236,0.000007691617,0.000018686875],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985196,0.00010451754,0.00046223882,0.00069665775,0.00001605946,0.00020090665],"domain_scores_gemma":[0.9984059,0.0010192171,0.000105819476,0.00041629057,0.0000050099716,0.00004777976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005078142,0.00012200143,0.00040176956,0.000049962993,0.00015464448,0.00002648039,0.00016948943,0.000086469394,0.000046896377],"category_scores_gemma":[0.00007473275,0.00013064544,0.000015170425,0.0000813206,0.0001380053,0.00009350667,0.00011521484,0.00010787559,0.0000057281263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008078507,0.00017377519,0.490409,0.0002577962,0.000058132013,1.033891e-7,0.0024934255,0.020326996,0.000010608588,0.3157294,0.000031878026,0.16970105],"study_design_scores_gemma":[0.0024721841,0.000054218755,0.25903216,0.000009646123,0.000013750314,0.0000026256912,0.00012480313,0.1223377,0.00001489853,0.6121793,0.0034788635,0.00027986037],"about_ca_topic_score_codex":0.0002094953,"about_ca_topic_score_gemma":0.00013585268,"teacher_disagreement_score":0.2964499,"about_ca_system_score_codex":0.000034496235,"about_ca_system_score_gemma":0.00000819273,"threshold_uncertainty_score":0.5327566},"labels":[],"label_agreement":null},{"id":"W411729771","doi":"","title":"Exploring recreational angler heterogeneity in the Okanagan","year":2011,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Forests, Lands and Natural Resource Operations; Freshwater Fisheries Society of British Columbia","keywords":"Recreation; Geography; Fishery; Biology; Ecology","score_opus":0.24472910957204244,"score_gpt":0.20250123001368775,"score_spread":0.04222787955835469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W411729771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92071867,0.00006238589,0.00028677902,0.000083669904,0.000100159305,0.00009718284,0.000022112905,0.000012620894,0.0786164],"genre_scores_gemma":[0.99902374,0.00019438879,0.00019057289,0.00013153206,0.000026663227,0.0000027390493,0.00002076926,0.000007437951,0.0004021431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994115,0.00002526468,0.00016292682,0.00023114485,0.000023506198,0.00014561559],"domain_scores_gemma":[0.99965477,0.00002067665,0.000086511274,0.00019938282,0.0000038953244,0.00003478414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024918705,0.000082493425,0.00011458381,0.0001970364,0.00008239839,0.000012669035,0.00023494133,0.000041710933,0.0007384289],"category_scores_gemma":[0.00000872695,0.00009262719,0.00006204294,0.0001966669,0.000043459328,0.0005360831,0.00004234752,0.000088036606,0.0005255823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010950542,0.000055991226,0.96456254,0.000002107164,0.000012721349,0.000008221965,0.0001456085,0.00005130198,2.5309228e-7,0.034538142,0.00026211917,0.00035007182],"study_design_scores_gemma":[0.00048293782,0.000034308017,0.9552256,0.0000056802833,0.00000614618,7.0548256e-9,0.00619401,0.00016087916,0.00014051616,0.002349497,0.035233364,0.00016705852],"about_ca_topic_score_codex":0.00045697286,"about_ca_topic_score_gemma":0.0060896687,"teacher_disagreement_score":0.078305066,"about_ca_system_score_codex":0.00014834425,"about_ca_system_score_gemma":0.0000051499305,"threshold_uncertainty_score":0.8085279},"labels":[],"label_agreement":null},{"id":"W4200226115","doi":"10.1162/rest_a_01143","title":"(Non-)Parametric Recoverability of Preferences and Choice Prediction","year":2021,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Parametric statistics; Restrictiveness; Simple (philosophy); Parametric model; Econometrics; Mathematical economics; Computer science; Semiparametric model; Upper and lower bounds; Economics; Mathematical optimization; Mathematics; Statistics","score_opus":0.0937611643528902,"score_gpt":0.24163869647076852,"score_spread":0.14787753211787832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200226115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91847426,0.074903004,0.0018317252,0.00024725584,0.00013779341,0.00022861917,0.0014100091,0.0000021506564,0.002765206],"genre_scores_gemma":[0.5230513,0.4739037,0.0027947847,0.00010675816,0.000016233531,0.0000072002563,0.000044822853,0.0000055621877,0.000069618036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998998,0.000019631532,0.00069188984,0.00020200798,0.000010881036,0.00007761828],"domain_scores_gemma":[0.999029,0.00022036897,0.00048286744,0.00021498077,0.000020405108,0.000032402066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068293774,0.00008091059,0.00040663287,0.00003199031,0.000040372182,0.000013070584,0.000067364315,0.000035767724,0.00014680377],"category_scores_gemma":[0.0002127848,0.000076008866,0.000037981106,0.000058662717,0.00011622817,0.000085246895,0.000056034216,0.000056449662,0.0000073325423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001088891,0.00014603876,0.5835212,0.006187048,0.00020045659,2.0516659e-7,0.00023159775,0.00033927368,0.000010517158,0.34533694,0.0009794112,0.06303642],"study_design_scores_gemma":[0.00038380967,0.00012556114,0.8549801,0.0003868635,0.000067348265,0.0000061110914,0.00005696601,0.012240551,0.00008481511,0.12243245,0.009064561,0.00017087274],"about_ca_topic_score_codex":0.000085729305,"about_ca_topic_score_gemma":0.00001959362,"teacher_disagreement_score":0.3990007,"about_ca_system_score_codex":0.000030460871,"about_ca_system_score_gemma":0.000021640286,"threshold_uncertainty_score":0.30995515},"labels":[],"label_agreement":null},{"id":"W4200259441","doi":"10.1177/00222437211073581","title":"The More You Ask, the Less You Get: When Additional Questions Hurt External Validity","year":2021,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"Directorate for Social, Behavioral and Economic Sciences; Alfred P. Sloan Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Respondent; Task (project management); Preference; Ask price; Conjoint analysis; Product (mathematics); Preference elicitation; External validity; Process (computing); Psychology; Process tracing; Decision quality; Cognitive psychology; Computer science; Social psychology; Knowledge management; Statistics; Economics; Mathematics","score_opus":0.24975496291881052,"score_gpt":0.3246388568110961,"score_spread":0.07488389389228559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200259441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9546214,0.003958192,0.00087339536,0.025355158,0.00064847263,0.00014630724,0.00035985422,0.0000053812805,0.014031843],"genre_scores_gemma":[0.98280454,0.0027814398,0.00089754385,0.0002015416,0.0011632947,0.000023383955,0.000031056665,0.000025469853,0.012071752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979049,0.0006339902,0.0006824582,0.000194754,0.00024112,0.00034278363],"domain_scores_gemma":[0.9963911,0.0026391163,0.0004294544,0.0002851639,0.00016731922,0.00008783505],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.021800473,0.000088172914,0.0001833565,0.00010206449,0.000811254,0.0002614623,0.00045076446,0.00006661035,0.0048834984],"category_scores_gemma":[0.0040465565,0.00006598175,0.00017162567,0.0001246203,0.00023928058,0.00022994645,0.00018172224,0.0007996903,0.00018995238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047020204,0.0004546018,0.61039007,0.00005591143,0.00034897792,0.00008557817,0.0014607902,0.0010677954,0.00016874814,0.033947513,0.3135815,0.03796829],"study_design_scores_gemma":[0.00032347583,0.0000440605,0.76796645,0.0000762385,0.000006696167,0.0001111695,0.0015109879,0.00092559267,0.00003614035,0.031187506,0.19771272,0.00009894292],"about_ca_topic_score_codex":0.000042696935,"about_ca_topic_score_gemma":0.00002664398,"teacher_disagreement_score":0.15757638,"about_ca_system_score_codex":0.00034837084,"about_ca_system_score_gemma":0.0001333068,"threshold_uncertainty_score":0.99602616},"labels":[],"label_agreement":null},{"id":"W4200358075","doi":"10.1038/s41559-021-01619-5","title":"Biodiversity targets will not be met without debt and tax justice","year":2021,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Nicholas School of the Environment, Duke University; Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Austerity; Biodiversity; Debt; Politics; Business; Biodiversity conservation; Finance; Public economics; Economics; Political science; Ecology; Biology","score_opus":0.02991269031331782,"score_gpt":0.21094515190316449,"score_spread":0.18103246158984668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200358075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98790765,0.00343871,0.0010911747,0.003462754,0.0010671198,0.00012980726,0.00024815853,0.000026719486,0.0026278847],"genre_scores_gemma":[0.993818,0.00042174783,0.002646376,0.001897875,0.00009287718,0.00000769582,0.00012809207,0.000007542118,0.0009797917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900764,0.000048176178,0.00025076317,0.0004481211,0.000026455587,0.00021884897],"domain_scores_gemma":[0.9994748,0.00007480592,0.00019043128,0.00017196791,0.000022387672,0.00006557357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047165944,0.00012288993,0.0002688381,0.000095010066,0.00021100888,0.000019043833,0.00008307255,0.0005375913,0.0007034836],"category_scores_gemma":[0.00024322777,0.00015765261,0.000058698995,0.00009498908,0.000092528506,0.00032172495,0.0000972466,0.00038718374,0.00039042576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020622503,0.00006869406,0.9379207,0.000018239301,0.0000619336,0.0000040482805,0.00012566161,0.000104842395,0.00023587309,0.055974096,0.0053644604,0.00010085805],"study_design_scores_gemma":[0.0006719961,0.000058576352,0.9749773,0.0000023069056,0.000055413915,0.000016747656,0.00015340703,0.0009706498,0.00027073926,0.00809337,0.014545492,0.00018400744],"about_ca_topic_score_codex":0.000049517508,"about_ca_topic_score_gemma":0.00023253883,"teacher_disagreement_score":0.047880728,"about_ca_system_score_codex":0.00043526202,"about_ca_system_score_gemma":0.000025122996,"threshold_uncertainty_score":0.7702652},"labels":[],"label_agreement":null},{"id":"W4200607915","doi":"10.1111/cjag.12301","title":"Spatially explicit modeling of wetland conservation costs in Canadian agricultural landscapes","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wetland; Wetland conservation; Agriculture; Ecosystem services; Revenue; Natural resource economics; Conservation agriculture; Ecosystem; Environmental resource management; Environmental science; Business; Ecology; Economics","score_opus":0.05236386034487623,"score_gpt":0.16321240955218477,"score_spread":0.11084854920730855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200607915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98768246,0.0011263001,0.000020585097,0.0036528162,0.0010036606,0.00021758238,0.0004847709,0.0000040732743,0.0058077523],"genre_scores_gemma":[0.9982395,0.00028342754,0.00026164344,0.0003463314,0.0002983526,0.000011188477,0.0002470885,0.000026771952,0.00028568233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967003,0.000036961428,0.0019164593,0.00046602477,0.000011813509,0.0008684791],"domain_scores_gemma":[0.99714583,0.000066642744,0.0010335366,0.0002562352,0.00015068385,0.0013470517],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006685979,0.0003231288,0.00094369514,0.00061516196,0.00015084329,0.00013541947,0.00041119038,0.000240578,0.0007424976],"category_scores_gemma":[0.00016123481,0.0003462095,0.000287057,0.00021874937,0.00005265279,0.00087678386,0.000024743023,0.00030914633,0.00008976904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025909485,0.000043834207,0.75037074,0.00006473662,0.00027408832,0.0000862349,0.0022516462,0.13978553,0.00018492312,0.105552316,0.0009684744,0.000391533],"study_design_scores_gemma":[0.0019851131,0.00020387769,0.9705721,0.00017727565,0.00004460244,0.0004783597,0.0036347297,0.010590422,0.00027350767,0.0049734656,0.0061397394,0.00092678063],"about_ca_topic_score_codex":0.75741845,"about_ca_topic_score_gemma":0.997424,"teacher_disagreement_score":0.24000558,"about_ca_system_score_codex":0.0047596013,"about_ca_system_score_gemma":0.0010917964,"threshold_uncertainty_score":0.99989897},"labels":[],"label_agreement":null},{"id":"W4205213502","doi":"10.1016/j.jval.2021.11.1323","title":"POSA421 Two Sensitization Methods: to Enhance Participant Engagement During the Conduct on Online Discrete Choice Experiments: A Case Study","year":2022,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health","funders":"","keywords":"Sensitization; Respondent; Context (archaeology); McNemar's test; Phone; Medicine; Wilcoxon signed-rank test; Psychology; Statistics; Mathematics; Internal medicine; Immunology; Mann–Whitney U test","score_opus":0.39329200089804156,"score_gpt":0.4288814689573522,"score_spread":0.035589468059310625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205213502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945899,0.00044265427,0.0005997122,0.0025155775,0.00035650586,0.0012898599,0.00008811708,0.00001575154,0.00010192315],"genre_scores_gemma":[0.99627084,0.000035511574,0.0018401034,0.0011781454,0.000075148564,0.00035995318,0.000018251885,0.000024674218,0.00019740422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.997574,0.0007305846,0.00082373637,0.00049075426,0.000060856553,0.0003201015],"domain_scores_gemma":[0.9989714,0.00022552555,0.00032331378,0.00038705004,0.0000039065285,0.000088804685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033114033,0.00013829739,0.00029849535,0.00015161897,0.00050496554,0.000029183126,0.00013405991,0.000014301252,0.00032431085],"category_scores_gemma":[0.00011995722,0.0001426914,0.000041610434,0.0002202113,0.000016834034,0.000098162294,0.00018566239,0.00024493897,0.00006358678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006689486,0.0015295184,0.14974582,0.000052021085,0.00008566935,0.000081290265,0.044544682,0.79660654,0.00032706076,0.0046516606,0.0000664558,0.002242374],"study_design_scores_gemma":[0.0073528565,0.005011448,0.59532183,0.00013069,0.0000437446,0.00025079533,0.15454341,0.2199859,0.0019165133,0.0036679744,0.009975991,0.0017988412],"about_ca_topic_score_codex":0.014826896,"about_ca_topic_score_gemma":0.00033014934,"teacher_disagreement_score":0.57662064,"about_ca_system_score_codex":0.0009887645,"about_ca_system_score_gemma":0.000024450908,"threshold_uncertainty_score":0.99173343},"labels":[],"label_agreement":null},{"id":"W4205496798","doi":"10.1016/j.jval.2021.11.1090","title":"POSA379 Differences in Cancer Treatment Preferences Among Oncologists, Patients and Family Members: A Discrete Choice Experiment","year":2022,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Respondent; Mixed logit; Family member; Family medicine; Preference; Lung cancer; Ordered logit; Logistic regression; Demography; Internal medicine","score_opus":0.19245673646556236,"score_gpt":0.2903950607173132,"score_spread":0.09793832425175084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205496798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928083,0.004979865,0.0000037287602,0.00039347107,0.00026270197,0.0005572715,0.00014913369,0.000008854163,0.000836663],"genre_scores_gemma":[0.9959876,0.0029241934,0.0000800352,0.00019490915,0.000019346098,0.00060918,0.000031349035,0.0000102415015,0.00014314459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985805,0.00010282084,0.0005907108,0.000415531,0.000045606776,0.00026481642],"domain_scores_gemma":[0.99943435,0.00007084659,0.00030276232,0.00011930452,0.0000017574471,0.000070974886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000397836,0.00013308601,0.00035375817,0.00015378228,0.00012325069,0.000021763426,0.00010480558,0.00003556599,0.00028262826],"category_scores_gemma":[0.000012903867,0.00014029196,0.00002992553,0.000104276165,0.000052781914,0.00013791361,0.00008554903,0.000107386644,0.000007209816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011874503,0.00024065949,0.9904793,0.0000144240175,0.000009102176,4.0117337e-7,0.0026382308,0.0039984556,6.655692e-7,0.00083954853,0.000026539228,0.0017408157],"study_design_scores_gemma":[0.0010589793,0.0006173249,0.988453,0.000017984361,0.0000012462326,1.1782726e-7,0.00097368675,0.0067583667,0.0000028491982,0.0010577926,0.0009183859,0.00014031124],"about_ca_topic_score_codex":0.13635679,"about_ca_topic_score_gemma":0.0023618767,"teacher_disagreement_score":0.13399492,"about_ca_system_score_codex":0.002074116,"about_ca_system_score_gemma":0.000045657376,"threshold_uncertainty_score":0.8693943},"labels":[],"label_agreement":null},{"id":"W4205643796","doi":"10.7202/1083292ar","title":"Le silence est d’or… mais que vaut l’or ? Impact de la proximité aux axes routiers sur les valeurs résidentielles unifamiliales à Québec, 1993-2004","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","score_opus":0.07588228151421086,"score_gpt":0.2455919978715929,"score_spread":0.16970971635738202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205643796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94351125,0.037736997,0.000950583,0.014506925,0.0009972071,0.00010769129,0.00019589167,0.0000042497436,0.0019892156],"genre_scores_gemma":[0.98168546,0.0070694056,0.001143914,0.00047174646,0.0002249128,0.0000031811833,0.000006283263,0.000024190485,0.009370896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978024,0.00010692939,0.0007753591,0.00044375818,0.00015051293,0.00072107045],"domain_scores_gemma":[0.997665,0.0002894469,0.0006974072,0.0002707022,0.00013345046,0.0009439831],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018359867,0.00023810985,0.0004340008,0.00045189948,0.0007322786,0.00038190855,0.00074093614,0.00015664438,0.0010654335],"category_scores_gemma":[0.0010319678,0.00025054,0.00026950735,0.00058203354,0.0022065504,0.0013381706,0.000052090018,0.0003787839,0.000059065405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047595106,0.00013293553,0.89237607,0.00006541452,0.00012277563,0.0008516221,0.0022336217,0.021887446,0.00018768986,0.058709998,0.015433376,0.007951453],"study_design_scores_gemma":[0.0009884571,0.0003215827,0.84463966,0.0005257837,0.00005233076,0.0032234907,0.0077541796,0.004241442,0.00040775843,0.0071637738,0.13000579,0.0006757776],"about_ca_topic_score_codex":0.39028695,"about_ca_topic_score_gemma":0.5127453,"teacher_disagreement_score":0.12245838,"about_ca_system_score_codex":0.0026370753,"about_ca_system_score_gemma":0.030026637,"threshold_uncertainty_score":0.9999947},"labels":[],"label_agreement":null},{"id":"W4205662716","doi":"10.1139/facets-2021-0149","title":"On evidence-based decision-making by Canada’s protected areas managers: a reply to Irvine et al.","year":2022,"lang":"en","type":"article","venue":"FACETS","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Vancouver Island University; University of Waterloo; Alberta Environment and Protected Areas; University of Alberta; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Political science; Operations research; Psychology; Engineering","score_opus":0.06697295509679178,"score_gpt":0.23976197731778373,"score_spread":0.17278902222099196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205662716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616129,0.0005364855,0.004706248,0.028036414,0.00041404786,0.0008063887,0.0004449819,0.000039868257,0.003402675],"genre_scores_gemma":[0.94553113,0.00001474642,0.00075069244,0.052741878,0.00000900505,0.0002100273,0.00003977632,0.000023222372,0.0006795446],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988055,0.000033258242,0.00037118333,0.00048223138,0.000090954854,0.00021686466],"domain_scores_gemma":[0.9991862,0.00016567446,0.00019696608,0.00036994804,0.000005314352,0.00007585074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006237771,0.00012765941,0.00020379458,0.00012622478,0.00018972748,0.00004022313,0.00022906324,0.000019801533,0.0028864688],"category_scores_gemma":[0.00026219257,0.00016334835,0.00004739053,0.00014689348,0.000009821427,0.00012589092,0.00011662231,0.00015626018,0.0003089561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016033859,0.00012580621,0.020112768,0.000010501752,0.000036386245,0.000011920123,0.00019657126,0.07962032,0.0000946848,0.0027004357,0.89184314,0.0050871354],"study_design_scores_gemma":[0.00082901673,0.00041412006,0.11588261,0.0001307766,0.000005622837,0.0000033640756,0.00018388772,0.0113510825,0.00013889447,0.0038612534,0.8666238,0.0005755603],"about_ca_topic_score_codex":0.050102305,"about_ca_topic_score_gemma":0.009216255,"teacher_disagreement_score":0.095769845,"about_ca_system_score_codex":0.0011124987,"about_ca_system_score_gemma":0.000077467615,"threshold_uncertainty_score":0.998025},"labels":[],"label_agreement":null},{"id":"W4206232750","doi":"10.1016/j.jval.2021.11.1129","title":"POSB362 Measuring Patient Preferences: Comparison of Five Discrete Choice Modeling Methods","year":2022,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mixed logit; Logit; Akaike information criterion; Statistics; Bayesian information criterion; Bayes' theorem; Ordered logit; Scale (ratio); Logistic regression; Latent class model; Class (philosophy); Econometrics; Bayesian probability; Mathematics; Computer science; Artificial intelligence","score_opus":0.3751476121542434,"score_gpt":0.3393561957265101,"score_spread":0.035791416427733314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206232750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98226905,0.0034507834,0.011940761,0.00021388134,0.00029909267,0.0003011211,0.0000750416,0.000011135626,0.0014391366],"genre_scores_gemma":[0.9901957,0.0001252645,0.009438456,0.00009970836,0.000016831891,0.000057309535,0.000021468819,0.000014114172,0.000031149455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813676,0.00019670605,0.0010765106,0.00031193442,0.00005344657,0.00022462127],"domain_scores_gemma":[0.9990774,0.00010764433,0.0005505222,0.0002039317,0.000004397129,0.000056154622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017737148,0.00009464568,0.00040244756,0.00016763099,0.00013863872,0.000008829108,0.00015731348,0.000029328607,0.00020892464],"category_scores_gemma":[0.00006616254,0.000121511905,0.000059662198,0.00013433493,0.000017740413,0.000109636705,0.0001280749,0.00020584084,0.000015658523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007273395,0.00007453951,0.16097215,0.000044228942,0.000008550159,5.796157e-8,0.0036850201,0.82833177,0.0000045808674,0.0041700276,0.000011774642,0.0026900542],"study_design_scores_gemma":[0.0003070948,0.00020235954,0.02033195,0.000025212792,0.00000164636,4.6111134e-7,0.0017308576,0.96430385,0.00003312517,0.012334333,0.0005969968,0.00013209663],"about_ca_topic_score_codex":0.0129454555,"about_ca_topic_score_gemma":0.000044563043,"teacher_disagreement_score":0.14064018,"about_ca_system_score_codex":0.000619588,"about_ca_system_score_gemma":0.000035073434,"threshold_uncertainty_score":0.9936274},"labels":[],"label_agreement":null},{"id":"W4206280090","doi":"10.3410/f.737764517.793581888","title":"Faculty Opinions recommendation of The economics of conservation debt: a natural capital approach to revealed valuation of ecological dynamics.","year":2021,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural capital; Valuation (finance); Ecological economics; Sustainability; Natural resource economics; Debt; Ecosystem services; Economics; Asset (computer security); Value (mathematics); Threatened species; Business; Natural resource; Environmental resource management; Ecology; Finance; Ecosystem","score_opus":0.08417759025940853,"score_gpt":0.2938414055103497,"score_spread":0.2096638152509412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206280090","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005601731,0.00069335464,0.00015241081,0.05191701,0.0009381937,0.0015256925,0.9440343,0.000007637884,0.00017127069],"genre_scores_gemma":[0.0027884836,0.0003082583,0.0013768248,0.0018363397,0.000088686895,0.00017516717,0.9929718,0.00002033001,0.00043411634],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99586415,0.0002800965,0.00269373,0.00064452604,0.00028314925,0.00023435993],"domain_scores_gemma":[0.9936845,0.00014637155,0.003678532,0.0011606171,0.0012120018,0.000117998585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021047553,0.00036236804,0.0011675692,0.00028593437,0.0001339077,0.00004869387,0.0011503737,0.00054849574,0.00023344599],"category_scores_gemma":[0.0041630645,0.00027033963,0.00067913835,0.00092128885,0.00031397308,0.0003052446,0.000497895,0.000551818,0.000023527664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011072146,0.0005248558,0.0006255634,0.0024263621,0.00015417502,1.5268993e-8,0.00017058516,0.000015772404,0.0000016712706,0.00997771,0.9857262,0.0003660438],"study_design_scores_gemma":[0.0007205919,0.00011333932,0.08536524,0.0017377891,0.00011564055,0.000009333352,0.0000978526,0.000920798,0.000022080876,0.0006850555,0.9099024,0.00030985876],"about_ca_topic_score_codex":0.00014006284,"about_ca_topic_score_gemma":0.00003191769,"teacher_disagreement_score":0.084739685,"about_ca_system_score_codex":0.00042451246,"about_ca_system_score_gemma":0.0002650339,"threshold_uncertainty_score":0.9999749},"labels":[],"label_agreement":null},{"id":"W4206379733","doi":"10.1111/caje.12560","title":"The economic benefits of recreation in Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Recreation; Product (mathematics); Gross domestic product; Economic impact analysis; Recreational use; Business; Economics; Natural resource economics; Agricultural economics; Geography; Public economics; Economic growth; Political science; Microeconomics","score_opus":0.1866116927510078,"score_gpt":0.1605526612821825,"score_spread":0.026059031468825294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206379733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99023974,0.0030230957,0.000014161592,0.00180636,0.0016611028,0.00013227896,0.00036421683,0.0000011206347,0.0027579258],"genre_scores_gemma":[0.99756247,0.001427565,0.00018443755,0.00024006181,0.00018343891,0.00000972157,0.000024222722,0.00003272667,0.00033533518],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9973962,0.000038661175,0.0017214481,0.0003166746,0.0000015704652,0.00052549836],"domain_scores_gemma":[0.9975499,0.0001967121,0.0012379714,0.00040591214,0.000050521096,0.0005589813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009440607,0.0001943802,0.00064106146,0.00030359495,0.00012819692,0.000066571636,0.00043202104,0.00010965442,0.00050686084],"category_scores_gemma":[0.00018108892,0.00024165062,0.00016317688,0.00009312792,0.000099237186,0.00036023592,0.000024153589,0.0002318272,0.000037894057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000017861274,0.0000054537027,0.29305813,0.000011548974,0.000083466635,0.000020150881,0.00029826554,0.06256127,0.000002500985,0.6408769,0.00043397112,0.0026304994],"study_design_scores_gemma":[0.0027440346,0.00027219043,0.4771631,0.00019152812,0.000043494358,0.00048996153,0.0033056082,0.011726199,0.001143574,0.44499096,0.056739338,0.00119001],"about_ca_topic_score_codex":0.9794092,"about_ca_topic_score_gemma":0.9999549,"teacher_disagreement_score":0.19588593,"about_ca_system_score_codex":0.010817436,"about_ca_system_score_gemma":0.006411694,"threshold_uncertainty_score":0.999221},"labels":[],"label_agreement":null},{"id":"W4206765967","doi":"10.1016/j.jocm.2022.100343","title":"Volumetric choice experiments (VCEs)","year":2022,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Negative binomial distribution; Discrete choice; Econometrics; Multinomial logistic regression; Computer science; Multinomial distribution; Product (mathematics); Marketing; Statistics; Economics; Business; Mathematics","score_opus":0.1863004751600981,"score_gpt":0.24866530143315282,"score_spread":0.06236482627305473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206765967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9321814,0.0050702025,0.057664584,0.00019120298,0.00088813924,0.00007682306,0.000015406891,0.0000073077445,0.003904943],"genre_scores_gemma":[0.9959961,0.00018861922,0.0022279928,0.00026135924,0.00030531225,0.000008428908,0.00000394864,0.000023672932,0.0009845501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986527,0.00002422639,0.00084946485,0.00018511634,0.00009570001,0.00019276993],"domain_scores_gemma":[0.99870497,0.00007810218,0.0009635024,0.00015613322,0.000014866474,0.00008244965],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00087297347,0.00010669705,0.00030591627,0.0003765342,0.00020735468,0.000041713713,0.00029702968,0.000034880748,0.0014436521],"category_scores_gemma":[0.00004033227,0.00013368353,0.00016725095,0.0002057562,0.0000172125,0.00043122418,0.00008633893,0.0002947587,0.00011600439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013999918,0.00016809459,0.17243294,0.00000716285,0.00006995422,0.000002797427,0.00047308835,0.823419,0.00006421531,0.0018031488,0.00092706754,0.00061852625],"study_design_scores_gemma":[0.0027915388,0.00046831922,0.037863962,0.000016816472,0.000036914746,0.0000554429,0.0006151786,0.72222203,0.00021975712,0.010876682,0.22426811,0.00056524744],"about_ca_topic_score_codex":0.0001259018,"about_ca_topic_score_gemma":0.000001074846,"teacher_disagreement_score":0.22334105,"about_ca_system_score_codex":0.00046202546,"about_ca_system_score_gemma":0.00001682929,"threshold_uncertainty_score":0.99946916},"labels":[],"label_agreement":null},{"id":"W4206959514","doi":"10.1016/j.ijheh.2022.113927","title":"Determination of a guidance value for the communication of individual-level biomonitoring data for urinary arsenic","year":2022,"lang":"en","type":"review","venue":"International Journal of Hygiene and Environmental Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Montréal; Institut National de Santé Publique du Québec","funders":"Health Canada","keywords":"Biomonitoring; Arsenic; Environmental health; Reference values; Range (aeronautics); Environmental science; Statistics; Population; Environmental chemistry; Toxicology; Medicine; Chemistry; Mathematics; Biology; Internal medicine","score_opus":0.3801936078095678,"score_gpt":0.37427521602967695,"score_spread":0.005918391779890841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206959514","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010063694,0.9854795,0.0058891806,0.00018169348,0.0005414736,0.00055706326,0.0063204602,0.0000012397626,0.00002306759],"genre_scores_gemma":[0.014518946,0.97776,0.00650983,0.000040739757,0.00012100404,0.000049532096,0.0009294214,0.000022975964,0.00004754997],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980273,0.000050491337,0.0014932476,0.00020114139,0.0001171762,0.000110646295],"domain_scores_gemma":[0.99579066,0.00049797026,0.0033054901,0.00036102,0.000008813857,0.000036027217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021938803,0.00013703857,0.0006460231,0.00021093078,0.00010790621,0.000017515322,0.0010116772,0.000060404993,0.00004012403],"category_scores_gemma":[0.000065076194,0.00012714494,0.00021257086,0.000038431514,0.00009246752,0.00025535698,0.00039191273,0.00013457499,0.0000010873268],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003298243,0.00023494841,0.00067402766,0.0009473895,0.00030709585,3.2991946e-7,0.00032247335,0.000051723848,9.488442e-7,0.0011365638,0.00019843409,0.9960931],"study_design_scores_gemma":[0.001233088,0.0007564496,0.0044128937,0.0011914854,0.0002236254,0.000118342236,0.00059864944,0.0017950349,0.0000090797275,0.0023272787,0.9870924,0.00024168594],"about_ca_topic_score_codex":0.000042102358,"about_ca_topic_score_gemma":0.000002221061,"teacher_disagreement_score":0.9958514,"about_ca_system_score_codex":0.0003927493,"about_ca_system_score_gemma":0.00006122524,"threshold_uncertainty_score":0.518482},"labels":[],"label_agreement":null},{"id":"W4207033824","doi":"10.33002/jelp01.03.03","title":"Biodiversity and Conservation: Cross-Border Legal and Regulatory Perspectives","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Law & Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"European Commission; Government of Canada; Harvard Business School","keywords":"Threatened species; Political science; Corporate governance; Biodiversity; State (computer science); Constitution; Public administration; Environmental resource management; Geography; Environmental planning; Law; Business; Ecology; Economics","score_opus":0.02864905434434533,"score_gpt":0.2539118969192425,"score_spread":0.22526284257489715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207033824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858049,0.005528681,0.000015129158,0.0022086296,0.00006648441,0.000035810124,0.00009346051,0.000002472375,0.006244408],"genre_scores_gemma":[0.99552774,0.0020222843,0.00037809843,0.00097547704,0.0001165564,5.071075e-7,0.0000051355705,0.0000065729655,0.0009676362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999315,0.000014538881,0.00034186343,0.00017845076,0.000037392707,0.00011272162],"domain_scores_gemma":[0.9994888,0.000019971481,0.0002955879,0.00010021053,0.000004647647,0.000090803456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001999576,0.000093570285,0.00021198529,0.00005963173,0.00013978934,0.000066816996,0.00004470636,0.000059052953,0.00084459037],"category_scores_gemma":[0.000018565212,0.000111033914,0.000063815176,0.00003160476,0.0003518297,0.0005300865,0.00008319933,0.00010180335,0.000056388097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025381598,0.00014675122,0.81384516,0.00001302078,0.00009980777,0.000018096815,0.0009364259,0.000043744592,0.00052789086,0.18362418,0.00026363274,0.00045593115],"study_design_scores_gemma":[0.0007903265,0.000059921145,0.94089544,0.000004669063,0.0000102755885,0.00019071001,0.00079083163,0.000027504964,0.00022402512,0.0026806626,0.05420172,0.00012392392],"about_ca_topic_score_codex":0.0001473867,"about_ca_topic_score_gemma":0.000011248692,"teacher_disagreement_score":0.18094352,"about_ca_system_score_codex":0.00021483352,"about_ca_system_score_gemma":0.000015703854,"threshold_uncertainty_score":0.9247672},"labels":[],"label_agreement":null},{"id":"W4210297381","doi":"10.1016/j.enpol.2022.112805","title":"Are carbon pricing policies on a path to failure in resource-dependent economies? A willingness-to-pay case study of Canada","year":2022,"lang":"en","type":"article","venue":"Energy Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Revenue; Economics; Public economics; Odds; Business; Agricultural economics; Logistic regression; Microeconomics; Finance","score_opus":0.036941380841768096,"score_gpt":0.21290983868930854,"score_spread":0.17596845784754045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210297381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942758,0.00002770335,0.000010441402,0.0019542894,0.00010915898,0.00023679764,0.0001218593,0.000009680682,0.0032542557],"genre_scores_gemma":[0.9964056,0.0000028887641,0.000015725002,0.002142708,0.00011441655,0.00017558387,0.0000049792898,0.000032324362,0.0011057978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985511,0.00004765748,0.0005993983,0.00041579397,0.000060468243,0.00032560332],"domain_scores_gemma":[0.9990977,0.000037975504,0.0003771548,0.00035613385,0.0000042191123,0.00012683337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033423526,0.00016519646,0.00038567808,0.00049372966,0.00014809528,0.00001799155,0.0002022554,0.000032496362,0.000075049444],"category_scores_gemma":[0.00005447961,0.00019585279,0.000038194736,0.00032210792,0.000009024054,0.000042246895,0.00022434437,0.00013314332,0.000005632887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033748962,0.0003054072,0.49162534,0.000009370221,0.000038662984,0.00014357711,0.0077226027,0.48969492,0.000008492103,0.009369705,0.0007654723,0.0002826814],"study_design_scores_gemma":[0.003665856,0.0017431062,0.79799306,0.000045588167,0.000016725653,0.00016114314,0.11825389,0.007472669,0.00025400645,0.0017452943,0.067223914,0.0014247228],"about_ca_topic_score_codex":0.88157684,"about_ca_topic_score_gemma":0.7219835,"teacher_disagreement_score":0.48222226,"about_ca_system_score_codex":0.0019645367,"about_ca_system_score_gemma":0.000091271475,"threshold_uncertainty_score":0.7986645},"labels":[],"label_agreement":null},{"id":"W4210428243","doi":"10.3368/le.98.4.060120-0074r2","title":"Using Willingness to Pay and Willingness to Accept to Value Farmland Preservation under Ambiguous Property Rights and Preference Uncertainty","year":2022,"lang":"en","type":"article","venue":"Land Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Willingness to accept; Willingness to pay; Incentive compatibility; Preference; Incentive; Economics; Value (mathematics); Property value; Contingent valuation; Microeconomics; Econometrics; Statistics; Mathematics","score_opus":0.17714458357040183,"score_gpt":0.23485677309801334,"score_spread":0.05771218952761151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210428243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918316,0.000080678976,0.0050552096,0.00096662645,0.00040665694,0.0007285814,0.0002246189,0.000023880099,0.00068214757],"genre_scores_gemma":[0.99533266,0.00005481901,0.0017616134,0.0014983346,0.00010327052,0.0001310675,0.00004828787,0.000032942986,0.001036999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9983783,0.000027978249,0.0005206838,0.0007137097,0.000032064065,0.00032726664],"domain_scores_gemma":[0.99925226,0.00003046405,0.00017337428,0.0002950737,0.000011045893,0.0002378078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051941804,0.00021526679,0.00039169923,0.00012610824,0.0004300259,0.00016474303,0.0002133971,0.000068591144,0.0002135448],"category_scores_gemma":[0.000018401919,0.00019468674,0.000035986952,0.00010749158,0.000028557479,0.0003739728,0.00039174204,0.00013314147,0.00007699557],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010081613,0.000056301258,0.4146437,0.00002373116,0.00004218528,6.3899535e-7,0.0016889682,0.5761368,0.000042773685,0.0050019585,0.00012286809,0.002139218],"study_design_scores_gemma":[0.0015003126,0.00044737,0.7522284,0.000024748231,0.000029340776,0.000018392913,0.0004084247,0.14571574,0.0001063883,0.041237716,0.057179138,0.0011040393],"about_ca_topic_score_codex":0.004460057,"about_ca_topic_score_gemma":0.00056962855,"teacher_disagreement_score":0.43042108,"about_ca_system_score_codex":0.00040963446,"about_ca_system_score_gemma":0.000020355079,"threshold_uncertainty_score":0.7939095},"labels":[],"label_agreement":null},{"id":"W4210562607","doi":"10.4000/ere.7539","title":"Pour en lire plus : Comment engager les élu·e·s en faveur de la biodiversité – des outils concrets de sensibilisation.","year":2022,"lang":"fr","type":"article","venue":"Éducation relative à l environnement","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Medicine; Philosophy","score_opus":0.0840421389490194,"score_gpt":0.24614718584095108,"score_spread":0.16210504689193167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210562607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9196858,0.0046254806,0.015841538,0.030551791,0.0008363023,0.0007556657,0.0006850166,0.000033905228,0.026984546],"genre_scores_gemma":[0.95496047,0.0023438775,0.0053739552,0.0014212552,0.00015566061,0.00017715966,0.00028566582,0.000042772124,0.035239186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966801,0.0014165668,0.00070863555,0.0006173812,0.00010850028,0.0004688517],"domain_scores_gemma":[0.99800634,0.00093887764,0.00053111365,0.00035833765,0.000013638241,0.00015166373],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0036122727,0.00030268374,0.0003592701,0.00019342118,0.00113733,0.000069301175,0.000255224,0.00021537067,0.013695842],"category_scores_gemma":[0.00025189877,0.00044690477,0.00018960008,0.00012068187,0.00038384405,0.00036138576,0.00033808436,0.00064968155,0.00086200255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037010417,0.00087962404,0.6291698,0.00009230028,0.0005098921,0.000012346976,0.08413978,0.05519935,0.0002011061,0.19234847,0.024367075,0.013043255],"study_design_scores_gemma":[0.0017675341,0.00018553136,0.47782904,0.000031773787,0.00011066565,0.000021484595,0.027941069,0.020235764,0.0001827366,0.010657648,0.46050304,0.0005337237],"about_ca_topic_score_codex":0.0010942548,"about_ca_topic_score_gemma":0.000029654448,"teacher_disagreement_score":0.43613598,"about_ca_system_score_codex":0.014421499,"about_ca_system_score_gemma":0.00018239925,"threshold_uncertainty_score":0.99991596},"labels":[],"label_agreement":null},{"id":"W4210685034","doi":"10.1038/s41586-021-04179-7","title":"Do not downplay biodiversity loss","year":2022,"lang":"en","type":"letter","venue":"Nature","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Biodiversity; Astrobiology; Environmental science; Biology; Ecology","score_opus":0.04845675081385687,"score_gpt":0.1983407832815077,"score_spread":0.14988403246765084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210685034","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042243347,0.0052155126,0.000020144891,0.8915159,0.004973182,0.00045071144,0.0090359,0.000086383276,0.046458896],"genre_scores_gemma":[0.05321021,0.00050133734,0.000110142995,0.93026716,0.001473848,0.00002576971,0.0028344677,0.000036724938,0.011540363],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986248,0.000019938136,0.0003351055,0.0006643527,0.000070994094,0.00028477958],"domain_scores_gemma":[0.9990788,0.00004031848,0.0003819554,0.00045802485,0.0000053566705,0.000035550904],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0003158854,0.00023772637,0.00040590175,0.00020282058,0.00019314467,0.000062638916,0.00046407254,0.0030566524,0.024625551],"category_scores_gemma":[0.000023636454,0.00030379294,0.0002259373,0.00009286199,0.000056323435,0.00014637472,0.00022568612,0.007011406,0.006103725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063572556,0.000013742609,0.028683774,0.000023633249,0.000056926438,0.000046321642,0.00006230814,0.000019316341,3.0620876e-7,0.00123237,0.9697754,0.000079544436],"study_design_scores_gemma":[0.00026948878,0.000029316912,0.016134227,0.0000032595233,0.00001277734,0.0000073204424,0.000012927655,0.000010602983,0.000005344911,0.0021168431,0.9810467,0.00035120588],"about_ca_topic_score_codex":0.00006976779,"about_ca_topic_score_gemma":0.0000021473088,"teacher_disagreement_score":0.03875122,"about_ca_system_score_codex":0.0005522359,"about_ca_system_score_gemma":0.00001207214,"threshold_uncertainty_score":0.9999414},"labels":[],"label_agreement":null},{"id":"W4211124388","doi":"10.1007/978-94-007-7104-8_5","title":"Choice Experiments","year":2017,"lang":"en","type":"book-chapter","venue":"The Economics of non-market goods and resources","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":120,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nonmarket forces; Valuation (finance); Willingness to pay; Choice modelling; Revealed preference; Preference; Contingent valuation; Computer science; Economics; Operations research; Econometrics; Microeconomics; Engineering; Mathematics; Statistics","score_opus":0.05645989246300775,"score_gpt":0.2275543894593965,"score_spread":0.17109449699638873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211124388","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10405542,0.0057361135,0.000028736073,0.00020219503,0.0004901917,0.00036416244,0.00034905464,0.000011664789,0.8887625],"genre_scores_gemma":[0.5213309,0.007214136,0.00015742765,0.00019948954,0.00046931292,0.00002779011,0.000039006558,0.00011144987,0.4704505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980617,0.000008676568,0.00096391456,0.0006592017,0.000033437893,0.00027304486],"domain_scores_gemma":[0.99701214,0.00016292016,0.001776141,0.00092652644,0.000008602017,0.000113667535],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007218659,0.00041100726,0.00086913654,0.00015772476,0.00033195227,0.00014882407,0.000648534,0.00038542564,0.0016698113],"category_scores_gemma":[0.000016270009,0.0004016806,0.00028079218,0.0000060093967,0.00051604107,0.00019094093,0.00033440668,0.00027289492,0.00022289733],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007880254,0.0007704739,0.28470454,0.0014964221,0.008597762,0.000022562952,0.010343254,0.00074525765,0.00013657773,0.45067605,0.06698411,0.17473495],"study_design_scores_gemma":[0.00087755104,0.00015570188,0.03960705,0.000112701404,0.00006220691,0.000006599236,0.00008704023,0.0014750167,0.000014165952,0.046981633,0.90987736,0.0007429499],"about_ca_topic_score_codex":0.0002872367,"about_ca_topic_score_gemma":0.00008380525,"teacher_disagreement_score":0.8428933,"about_ca_system_score_codex":0.00012302828,"about_ca_system_score_gemma":0.00001732485,"threshold_uncertainty_score":0.9998435},"labels":[],"label_agreement":null},{"id":"W4212863460","doi":"10.1111/cjag.12302","title":"Grassland easement evaluation and acquisition with uncertain conversion and conservation returns","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Easement; Agency (philosophy); Sorting; Grassland; Value (mathematics); Business; Index (typography); Natural resource economics; Environmental economics; Economics; Environmental resource management; Computer science; Mathematics; Statistics; Ecology","score_opus":0.05335905092872689,"score_gpt":0.16423207815068952,"score_spread":0.11087302722196263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212863460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913532,0.001083724,0.000013544559,0.0057374304,0.0004774543,0.00037901505,0.0002987598,0.00000408449,0.0006527759],"genre_scores_gemma":[0.9986231,0.00015213249,0.00014086158,0.0005102888,0.00013557855,0.000034750887,0.00017889593,0.000017721673,0.00020671304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845654,0.000049433478,0.00074948,0.00037493295,0.000014466614,0.00035514397],"domain_scores_gemma":[0.99824846,0.000049036982,0.00092614145,0.00013973853,0.000056869372,0.0005797791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011067647,0.00020718502,0.00041758228,0.00031226088,0.00044733545,0.000121439705,0.00016053434,0.000066418324,0.00080628064],"category_scores_gemma":[0.000026935411,0.00021550083,0.00007163844,0.00008090141,0.00011556758,0.0006374948,0.000029187886,0.00020481525,0.00001227884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018686849,0.00007452711,0.8921015,0.00008365723,0.0004671757,0.00003684467,0.004427952,0.033055894,0.000064902,0.06305157,0.004932114,0.0015169485],"study_design_scores_gemma":[0.003876038,0.00096653024,0.96065825,0.000034378532,0.00010182147,0.00087414007,0.0057820072,0.006001401,0.000029620234,0.0079139285,0.013140972,0.00062090263],"about_ca_topic_score_codex":0.018515237,"about_ca_topic_score_gemma":0.13198458,"teacher_disagreement_score":0.11346934,"about_ca_system_score_codex":0.0026449482,"about_ca_system_score_gemma":0.00020347448,"threshold_uncertainty_score":0.98802054},"labels":[],"label_agreement":null},{"id":"W4213229128","doi":"10.1038/s41559-022-01704-3","title":"Author Correction: Biodiversity targets will not be met without debt and tax justice","year":2022,"lang":"en","type":"erratum","venue":"Nature Ecology & Evolution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biodiversity; Debt; Economic Justice; Environmental ethics; Political science; Business; Natural resource economics; Economics; Biology; Ecology; Law; Philosophy; Finance","score_opus":0.03209974645904729,"score_gpt":0.22376819065335565,"score_spread":0.19166844419430837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213229128","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18472815,0.053513516,0.0027000448,0.025370177,0.62576103,0.0031910795,0.010517204,0.0005164551,0.093702346],"genre_scores_gemma":[0.62765574,0.002446187,0.0012155175,0.0035423357,0.0019346792,0.00014274273,0.0045004417,0.00007547137,0.3584869],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776876,0.00013594293,0.000572211,0.0010230656,0.00008305194,0.00041694706],"domain_scores_gemma":[0.9984916,0.00013256934,0.00086654123,0.00036199516,0.000029596831,0.00011771899],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0011705119,0.0003715156,0.000748419,0.00042504506,0.0007236946,0.000039897423,0.0002794338,0.0022911064,0.0044351323],"category_scores_gemma":[0.00041780891,0.0004963715,0.00016915934,0.00019279963,0.00018461139,0.000396039,0.0002957833,0.0028185095,0.00045388026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004585112,0.000074509655,0.107190005,0.000047658956,0.00013717063,0.0000033879987,0.00014341407,0.00012830361,0.000002525616,0.005564644,0.8865783,0.00008417621],"study_design_scores_gemma":[0.0004627746,0.00019464147,0.40017503,0.0000063596995,0.00018098536,0.000024459945,0.00018132372,0.0018947164,0.0000025606703,0.0018893498,0.59458345,0.0004043261],"about_ca_topic_score_codex":0.00024993918,"about_ca_topic_score_gemma":0.0004901945,"teacher_disagreement_score":0.6238263,"about_ca_system_score_codex":0.0024033552,"about_ca_system_score_gemma":0.00009394347,"threshold_uncertainty_score":0.99974877},"labels":[],"label_agreement":null},{"id":"W4213303049","doi":"10.1002/0470856289.indauth","title":"Author Index","year":2006,"lang":"en","type":"paratext","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Index (typography); Library science; Citation; Media studies; Sociology; Computer science; World Wide Web","score_opus":0.1021188588267958,"score_gpt":0.2307035332542957,"score_spread":0.1285846744274999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213303049","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032220082,0.0024088703,0.008231086,0.00038987037,0.0025609701,0.00019181242,0.00043495392,0.00002267305,0.98253775],"genre_scores_gemma":[0.1073659,0.00013993356,0.00027323997,0.0003163738,0.00046319075,0.00003509154,0.0008309537,0.000048967282,0.89052635],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985303,0.000006798027,0.00068250176,0.00050843455,0.000022089822,0.00024987326],"domain_scores_gemma":[0.9991689,0.000014973558,0.0004152514,0.00034175336,0.0000036349338,0.000055534034],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023543365,0.00023000545,0.00047481307,0.00019277855,0.000062721265,0.0000637679,0.00020348687,0.00039744788,0.09056379],"category_scores_gemma":[0.0000062521685,0.0002826135,0.00015839368,0.00006049915,0.000044529854,0.000122432,0.00006786645,0.00021384872,0.3400075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012794758,0.00003192863,0.011980293,0.000017124916,0.000028220402,3.2207615e-7,0.000011511471,0.0005490604,4.0658682e-7,0.015652828,0.97150475,0.00022227435],"study_design_scores_gemma":[0.00021859515,0.000017398506,0.030463686,0.000007240578,0.0000035963835,0.000001012264,0.0000075893104,0.0007938633,0.000008169006,0.0052604964,0.9628497,0.0003686495],"about_ca_topic_score_codex":0.0009745636,"about_ca_topic_score_gemma":0.000029539391,"teacher_disagreement_score":0.24944371,"about_ca_system_score_codex":0.00027751745,"about_ca_system_score_gemma":0.000013371793,"threshold_uncertainty_score":0.9999626},"labels":[],"label_agreement":null},{"id":"W4213362377","doi":"10.1002/pan3.10307","title":"Multi‐species, multi‐country analysis reveals North Americans are willing to pay for transborder migratory species conservation","year":2022,"lang":"en","type":"article","venue":"People and Nature","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Per capita; Wildlife; Geography; Business; Multinational corporation; Socioeconomics; Habitat; Gross domestic product; Ecosystem services; Economic growth; Development economics; Economics; Ecology; Ecosystem; Population; Finance","score_opus":0.05263966443243889,"score_gpt":0.22613373589068342,"score_spread":0.17349407145824453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213362377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981383,0.002026506,0.011586553,0.0016777278,0.00020016311,0.0003950317,0.0026352943,0.000020025553,0.0000756837],"genre_scores_gemma":[0.98983717,0.0004610283,0.0034007179,0.0028465174,0.0000703405,0.00015708724,0.0005711804,0.000019382735,0.0026365565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989686,0.000017069775,0.0003585354,0.00041666772,0.00004249057,0.0001966513],"domain_scores_gemma":[0.9994364,0.00006460106,0.00023486228,0.0001812467,0.000015651063,0.000067277404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026931276,0.00014017134,0.00038120136,0.00022768206,0.00033399987,0.000036987476,0.00011602218,0.00007953476,0.0003327566],"category_scores_gemma":[0.000043148302,0.00015119155,0.00012509771,0.00051440555,0.000024298819,0.00012556677,0.000039639057,0.0002252372,0.000010943753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018738574,0.0000627063,0.99285936,0.000017181059,0.00015755324,3.4209373e-7,0.0010832153,0.0028612853,0.00006316476,0.0006173927,0.0021643154,0.00009473184],"study_design_scores_gemma":[0.00044720774,0.00003468014,0.89393395,0.0000017990587,0.000063532774,4.498221e-7,0.0010206674,0.0071777906,0.000011442872,0.00006859904,0.09703647,0.00020339926],"about_ca_topic_score_codex":0.00032692045,"about_ca_topic_score_gemma":0.0067925868,"teacher_disagreement_score":0.09892541,"about_ca_system_score_codex":0.00014708232,"about_ca_system_score_gemma":0.00001037087,"threshold_uncertainty_score":0.61654127},"labels":[],"label_agreement":null},{"id":"W4221020256","doi":"10.1093/heapol/czac021","title":"Impact of minimum unit pricing on youth alcohol consumption: insights from Lebanon","year":2022,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Alcohol; Consumption (sociology); Alcohol consumption; Ethanol; Welfare; Unit (ring theory); Unit price; Unit of alcohol; Premise; Economics; Preference; Work (physics); Business; Microeconomics; Psychology; Chemistry; Engineering; Biochemistry","score_opus":0.28548871512887347,"score_gpt":0.34624638683764064,"score_spread":0.06075767170876717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221020256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941165,0.0016996453,0.00006972961,0.00023682187,0.000108583445,0.00013095808,0.000591344,0.000010750909,0.0030357086],"genre_scores_gemma":[0.9984637,0.00016906946,0.000056887133,0.0009120832,0.00011741475,0.000008461468,0.0001710239,0.000010940047,0.00009043341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913913,0.00004156433,0.00040393588,0.00021230755,0.000028496526,0.00017454238],"domain_scores_gemma":[0.9993264,0.00009473551,0.0003686411,0.00012597804,0.0000022084193,0.00008201465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024398876,0.00009370311,0.0002528886,0.00021588618,0.00026200287,0.000011462941,0.000060906452,0.00003380398,0.00028144056],"category_scores_gemma":[0.000021860827,0.00010856632,0.000046415273,0.00008055337,0.00002634403,0.00007686022,0.000047367084,0.00013950013,0.000041798656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052836047,0.000055340086,0.9669171,0.000025869655,0.00004266397,9.208026e-7,0.013023168,0.00896427,0.000011388101,0.010166992,0.00025268915,0.0004867475],"study_design_scores_gemma":[0.00071331626,0.00036075086,0.9919375,0.000029255396,0.0000030230087,0.0000018315078,0.00076481706,0.002438375,0.00000824397,0.0025710317,0.0010424097,0.00012940621],"about_ca_topic_score_codex":0.006681497,"about_ca_topic_score_gemma":0.000007880574,"teacher_disagreement_score":0.025020424,"about_ca_system_score_codex":0.00024398674,"about_ca_system_score_gemma":0.000044111464,"threshold_uncertainty_score":0.9999331},"labels":[],"label_agreement":null},{"id":"W4221062856","doi":"10.1111/cjag.12304","title":"Six decades of environmental resource valuation in Canada: A synthesis of the literature","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Valuation (finance); Geography; Environmental resource management; Business; Economics; Accounting","score_opus":0.02940534960290668,"score_gpt":0.1345780940015003,"score_spread":0.10517274439859363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221062856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937231,0.0013343772,8.338608e-7,0.0013842259,0.00068079965,0.00024408019,0.0018300042,9.370745e-7,0.00080166664],"genre_scores_gemma":[0.9993302,0.00008129094,0.00004682959,0.00017085558,0.00009135267,0.000021483,0.00003587679,0.000019687495,0.00020238341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755055,0.000076224715,0.001630523,0.00030157913,0.000019029301,0.0004220861],"domain_scores_gemma":[0.9973092,0.00012916599,0.0019207315,0.00028748863,0.000016579072,0.0003368486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008042143,0.00021499292,0.00068542594,0.000351785,0.00017443052,0.0000260086,0.00070975936,0.000075364915,0.00082570844],"category_scores_gemma":[0.00009461859,0.00020913745,0.0002700717,0.00019148659,0.00010514661,0.00031782768,0.000070059046,0.0003516445,0.0000048949387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004278741,0.000047569465,0.8861126,0.00005120457,0.00019843986,0.000012606449,0.0032082933,0.09252594,0.000110514055,0.015421414,0.001073178,0.0011954786],"study_design_scores_gemma":[0.00056033896,0.000107151725,0.9852265,0.00005775677,0.000027238675,0.0001400795,0.005050976,0.00032038498,0.0003170194,0.0025114783,0.0053903274,0.00029075175],"about_ca_topic_score_codex":0.66711426,"about_ca_topic_score_gemma":0.98302925,"teacher_disagreement_score":0.315915,"about_ca_system_score_codex":0.008379301,"about_ca_system_score_gemma":0.0009205733,"threshold_uncertainty_score":0.99542737},"labels":[],"label_agreement":null},{"id":"W4224244543","doi":"10.1016/j.jenvman.2022.115012","title":"Rethinking urban park irrigation under climate change","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Department of Water and Environmental Regulation, Government of Western Australia; Department of Environment Regulation, Government of Western Australia; Forrest Research Foundation","keywords":"Ecosystem services; Urbanization; Climate change; Irrigation; Water resources; Environmental resource management; Geography; Water scarcity; Environmental science; Water resource management; Environmental planning; Agriculture; Business; Ecosystem; Ecology","score_opus":0.09306050548270477,"score_gpt":0.20137366344880997,"score_spread":0.1083131579661052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224244543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796038,0.0019384102,0.0006680669,0.0009431646,0.00091657834,0.00032775535,0.00008324254,0.000010235825,0.01550873],"genre_scores_gemma":[0.9966525,0.0008593112,0.0007679543,0.0010090519,0.00014167724,0.000034996887,0.000020250498,0.00002270599,0.0004915695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877924,0.000032365846,0.0006724617,0.0002019621,0.00011297405,0.00020098689],"domain_scores_gemma":[0.9989587,0.000011504697,0.00080221816,0.0001699095,8.7172936e-7,0.000056799665],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00096767873,0.00011649709,0.00021419149,0.00018368481,0.00023181975,0.000027293216,0.00021361466,0.000026138336,0.003081067],"category_scores_gemma":[0.0000015458584,0.00014303693,0.00013335227,0.000058509228,0.00003582491,0.00035768293,0.00027299087,0.0001848531,0.00025301919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014619762,0.0012618687,0.63636005,0.00007799382,0.0005385968,0.000086582,0.005110224,0.012949168,0.00025656863,0.32530025,0.0033014137,0.014611119],"study_design_scores_gemma":[0.001213267,0.00030703467,0.8952826,0.000014732936,0.00004193195,0.00003139125,0.0017641457,0.0006808659,0.00002490016,0.072822824,0.027539298,0.0002769621],"about_ca_topic_score_codex":0.000005205732,"about_ca_topic_score_gemma":4.4150784e-7,"teacher_disagreement_score":0.2589226,"about_ca_system_score_codex":0.0008329832,"about_ca_system_score_gemma":0.0000012486319,"threshold_uncertainty_score":0.9978303},"labels":[],"label_agreement":null},{"id":"W4224248164","doi":"10.1038/s41396-022-01227-6","title":"Correction: Experimental evaluation of ecological principles to understand and modulate the outcome of bacterial strain competition in gut microbiomes","year":2022,"lang":"en","type":"erratum","venue":"The ISME Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biology; Competition (biology); Microbiome; Ecology; Outcome (game theory); Microbial ecology; Strain (injury); Computational biology; Evolutionary biology; Bioinformatics; Bacteria; Genetics","score_opus":0.19237755828548103,"score_gpt":0.28094478887073876,"score_spread":0.08856723058525773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224248164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98318285,0.0011001688,0.00007434109,0.00085723,0.010333542,0.00043136935,0.0002357124,0.000002624851,0.0037821427],"genre_scores_gemma":[0.99663174,0.00029875568,0.000044511355,0.00007415149,0.0002816908,0.00001483293,0.0000926731,0.00001499472,0.00254666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9984841,0.0001733812,0.000908891,0.00019387317,0.00010561474,0.00013415393],"domain_scores_gemma":[0.9988123,0.00006667146,0.00090649445,0.00016788938,0.000015774796,0.000030829528],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030446246,0.00013938053,0.00039080385,0.00017087138,0.00016389058,0.00004330819,0.00021750115,0.00011433733,0.004510398],"category_scores_gemma":[0.000059043756,0.00010859942,0.00009998086,0.00008205249,0.00010825082,0.00009468244,0.00013152183,0.0004158638,0.00000908518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014875847,0.004409746,0.17132294,0.00045104066,0.0024509116,0.000014938984,0.07675714,0.3453964,0.01768907,0.067666225,0.3030887,0.009265316],"study_design_scores_gemma":[0.0025337886,0.0008359719,0.93131036,0.00009969633,0.00010843819,0.00011558877,0.009448573,0.02122186,0.0001522114,0.008985196,0.024722314,0.0004659777],"about_ca_topic_score_codex":0.000048464975,"about_ca_topic_score_gemma":0.000099386794,"teacher_disagreement_score":0.7599875,"about_ca_system_score_codex":0.0007308761,"about_ca_system_score_gemma":0.00004642355,"threshold_uncertainty_score":0.99639964},"labels":[],"label_agreement":null},{"id":"W4224293889","doi":"10.1080/08941920.2022.2065393","title":"Inter-Group Perceptions of Key Performance Indicators for Monitoring and Evaluating Scenic Viewpoints","year":2022,"lang":"en","type":"article","venue":"Society & Natural Resources","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Viewpoints; Visitor pattern; Perception; Stakeholder; Performance indicator; Environmental resource management; Business; Knowledge management; Psychology; Computer science; Marketing; Public relations; Political science; Environmental science","score_opus":0.05209271904033187,"score_gpt":0.2570937040478346,"score_spread":0.20500098500750275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224293889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955403,0.0035130691,0.000073170726,0.0001253262,0.00023782745,0.0002223732,0.000057764955,0.000013722291,0.00021640862],"genre_scores_gemma":[0.9968425,0.00043731913,0.0021013396,0.00006478522,0.00007839748,0.000083968174,0.000022165612,0.000015414873,0.0003541091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991345,0.000016936801,0.0003707825,0.00025910218,0.000051021645,0.00016770486],"domain_scores_gemma":[0.99947554,0.000066089204,0.000300875,0.00011786947,0.0000059123167,0.000033722772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008348014,0.00009511472,0.00020083762,0.00006577271,0.0004097498,0.00002048366,0.00014419762,0.000041714047,0.00020194563],"category_scores_gemma":[0.000033780336,0.00011161854,0.0001636401,0.00011436333,0.0000837946,0.00015486579,0.00016024163,0.00019526844,0.000009620283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017693095,0.000040541137,0.97274363,0.00007691142,0.000069391506,2.637309e-8,0.008885088,0.00029862093,0.0007537835,0.00050118536,0.00019497599,0.016418165],"study_design_scores_gemma":[0.00075939996,0.00027143484,0.9673468,0.00002459749,0.000019801679,0.0000021183191,0.0074765477,0.017795937,0.00013259277,0.00077883445,0.0051694727,0.00022244906],"about_ca_topic_score_codex":0.000023115284,"about_ca_topic_score_gemma":6.819289e-7,"teacher_disagreement_score":0.017497316,"about_ca_system_score_codex":0.00021432329,"about_ca_system_score_gemma":0.000005012572,"threshold_uncertainty_score":0.45516717},"labels":[],"label_agreement":null},{"id":"W4225128199","doi":"10.1016/j.jval.2022.01.012","title":"Accounting for Preference Heterogeneity in Discrete-Choice Experiments: An ISPOR Special Interest Group Report","year":2022,"lang":"en","type":"review","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Preference; Mixed logit; Preference elicitation; Portfolio; Selection (genetic algorithm); Discrete choice; Econometrics; Actuarial science; Accounting; Psychology; Logistic regression; Economics; Computer science; Statistics; Microeconomics; Mathematics; Financial economics","score_opus":0.5665849309178793,"score_gpt":0.3834187387557521,"score_spread":0.1831661921621272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225128199","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036168486,0.95795685,0.00020083829,0.000045112,0.0017512043,0.0025835978,0.00049985544,0.000023619428,0.0007704518],"genre_scores_gemma":[0.0039528934,0.9918688,0.0006901449,0.000114639675,0.00080456765,0.001088641,0.0012789601,0.00008837241,0.000112975664],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99565995,0.00015690768,0.0025716608,0.0010666716,0.00005024105,0.00049456884],"domain_scores_gemma":[0.99730384,0.00020823543,0.0018117215,0.00056574465,0.0000028725444,0.00010760507],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029373628,0.00034420064,0.0015752654,0.00041337602,0.00012470725,0.00006220129,0.0004227853,0.000189132,0.0005109689],"category_scores_gemma":[0.00019458067,0.00042400966,0.0002489292,0.00019823894,0.000033454668,0.00039956492,0.0001829369,0.00042386135,0.000059252514],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005554858,0.0017745716,0.29011425,0.023599353,0.00018390227,0.00004917542,0.0018157655,0.0015716942,1.9588855e-7,0.046324935,0.0005612258,0.6339494],"study_design_scores_gemma":[0.00043465663,0.00016472401,0.007726193,0.000996949,0.000008415239,0.000013988975,0.00008817898,0.0007055422,1.2615564e-7,0.0012011973,0.9882193,0.0004406829],"about_ca_topic_score_codex":0.0047206073,"about_ca_topic_score_gemma":0.0009148402,"teacher_disagreement_score":0.98765814,"about_ca_system_score_codex":0.002593845,"about_ca_system_score_gemma":0.00011782244,"threshold_uncertainty_score":0.9998212},"labels":[],"label_agreement":null},{"id":"W4226080009","doi":"10.21203/rs.3.rs-1515975/v1","title":"Investigation of whether people are willing to pay a premium for living in food swamps: A study of Edmonton, Canada","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh; Zhongnan University of Economics and Law","keywords":"Swamp; Willingness to pay; Food choice; Healthy food; Public economics; Food prices; Preference; Environmental health; Business; Geography; Marketing; Economics; Agriculture; Medicine; Food security; Food science; Ecology; Microeconomics","score_opus":0.2116187922188709,"score_gpt":0.3105329577622985,"score_spread":0.0989141655434276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226080009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954813,0.00045800948,0.00020363995,0.00026283416,0.0001539682,0.002574617,0.0005968246,0.0000048879265,0.0002639247],"genre_scores_gemma":[0.9981808,0.000065408036,0.00019456391,0.000017471379,0.000045715515,0.0012042624,0.00005898262,0.000036080175,0.0001966807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793136,0.00014680554,0.00087136246,0.0005654958,0.00017492648,0.00031003362],"domain_scores_gemma":[0.998484,0.0003760861,0.00051387027,0.0004756602,0.000064715365,0.00008564533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029583648,0.00014579277,0.0005488569,0.0004912091,0.000086599524,0.000024035084,0.00035201732,0.0001006516,0.0002577797],"category_scores_gemma":[0.0005537237,0.0001719177,0.00007464085,0.00028945942,0.000024703,0.00007835192,0.00064304925,0.00043946377,0.0000029892335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021026883,0.00013648818,0.9603199,0.0005971078,0.000048031616,2.7593182e-7,0.009689132,0.028539158,0.000014812591,0.0002845144,0.00026474553,0.00008482767],"study_design_scores_gemma":[0.00038815368,0.0005306522,0.978077,0.0002817618,0.0000037474001,7.7490334e-8,0.013478705,0.0033975088,0.00005681835,0.003283245,0.00031856608,0.00018374485],"about_ca_topic_score_codex":0.38856423,"about_ca_topic_score_gemma":0.69683903,"teacher_disagreement_score":0.3082748,"about_ca_system_score_codex":0.001377947,"about_ca_system_score_gemma":0.0002802844,"threshold_uncertainty_score":0.70106},"labels":[],"label_agreement":null},{"id":"W4226429846","doi":"10.2139/ssrn.4092475","title":"Benefit Transfer and Hedonic Pricing: Assessing the Value of an Urban Wetland Ecosystem","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wetland; Value (mathematics); Hedonic pricing; Ecosystem; Environmental science; Ecosystem services; Business; Natural resource economics; Environmental resource management; Economics; Ecology; Computer science; Econometrics; Biology","score_opus":0.02622835069282573,"score_gpt":0.20652097573123124,"score_spread":0.1802926250384055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226429846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918819,0.0045252065,0.0021614917,0.00033717143,0.00014289099,0.00011770832,0.000019588275,0.0000058666515,0.0008081767],"genre_scores_gemma":[0.9985707,0.0009655587,0.000028827973,0.00006235303,0.00008450369,0.000009335883,0.000006699313,0.000019117855,0.00025294936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986373,0.000051072842,0.00045915862,0.00019613944,0.000049931794,0.00060635497],"domain_scores_gemma":[0.9995617,0.000030596326,0.0002128464,0.00014957214,0.000004699389,0.000040529078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027355365,0.000097932854,0.00021561686,0.000092025955,0.00042988654,0.00005593011,0.00020360219,0.000030870695,0.00013414057],"category_scores_gemma":[0.000006052083,0.0000920573,0.0000746145,0.000077700446,0.000026681977,0.00028636344,0.00003975758,0.00064805086,0.0000071892905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015291478,0.00008975939,0.2728716,0.000010650951,0.00013963047,6.6272383e-7,0.00090178073,0.005877259,0.00013246616,0.71731615,0.0000093341305,0.0026353877],"study_design_scores_gemma":[0.0027595318,0.001366608,0.38631663,0.000019355182,0.000081384926,0.00087678607,0.011306822,0.030870317,0.00018346784,0.560051,0.0055824295,0.0005856399],"about_ca_topic_score_codex":0.00007673313,"about_ca_topic_score_gemma":0.00012284418,"teacher_disagreement_score":0.15726511,"about_ca_system_score_codex":0.0007583484,"about_ca_system_score_gemma":0.00011380707,"threshold_uncertainty_score":0.37539876},"labels":[],"label_agreement":null},{"id":"W4229483411","doi":"10.11647/obp.0193.07","title":"Everyday Biodiversity","year":2020,"lang":"en","type":"book-chapter","venue":"Open Book Publishers","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Oil Sands Technology and Research Authority; University of British Columbia","funders":"","keywords":"Biodiversity; Geography; Endangered species; Population; Sustainability; Habitat destruction; Threatened species; Ecology; Habitat; Agroforestry; Natural resource economics; Biology; Economics","score_opus":0.14729590178967553,"score_gpt":0.19794920467251578,"score_spread":0.050653302882840257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229483411","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000054158896,0.001282562,0.00004258206,0.003546854,0.0005866639,0.0005244746,0.0004990623,0.000035760153,0.9934279],"genre_scores_gemma":[0.001460701,0.00033800007,0.00025485136,0.0059480127,0.00013570419,0.000014362062,0.0006281284,0.000053234657,0.991167],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983697,0.0000055269875,0.00054761727,0.0008110436,0.000048828508,0.00021730682],"domain_scores_gemma":[0.9987194,0.000018926126,0.00058504444,0.00047542402,0.000010829818,0.0001903926],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003606105,0.00030154837,0.00061318063,0.00013203688,0.00013980473,0.0009833215,0.0010395757,0.0003331121,0.044348996],"category_scores_gemma":[0.000025265379,0.00040450646,0.00020847317,0.000024176692,0.00010620643,0.002825176,0.00073514687,0.00032765223,0.035969283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000103926,0.000011564022,0.0031645896,0.000010827771,0.00013221207,0.0000056880367,0.00007263159,0.00000780473,2.1986158e-7,0.26085314,0.735239,0.00049187534],"study_design_scores_gemma":[0.0004281852,0.000043861473,0.0014407042,0.000013225207,0.00001841736,0.0000012148759,0.000020907963,0.000022113045,0.0000017015079,0.036285892,0.9612609,0.00046286712],"about_ca_topic_score_codex":0.00024877602,"about_ca_topic_score_gemma":0.000015601736,"teacher_disagreement_score":0.22602187,"about_ca_system_score_codex":0.0004896408,"about_ca_system_score_gemma":0.000046823126,"threshold_uncertainty_score":0.9998407},"labels":[],"label_agreement":null},{"id":"W4229544335","doi":"10.2139/ssrn.3050889","title":"Stochastic Revealed Preferences with Measurement Error: Testing for Exponential Discounting in Survey Data","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Econometrics; Statistics; Discounting; Exponential function; Mathematics; Survey data collection; Actuarial science; Economics; Mathematical analysis","score_opus":0.38042909704908534,"score_gpt":0.286228935525606,"score_spread":0.09420016152347932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229544335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94573677,0.00091678754,0.052127514,0.00015378797,0.00018350147,0.0002808714,0.00007098701,0.0000060397415,0.00052373006],"genre_scores_gemma":[0.99902517,0.00010387453,0.0005184537,0.000010531723,0.00014303948,0.000018109207,0.000038104045,0.000020470668,0.00012223715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809724,0.000026932914,0.000490316,0.00036777827,0.000067759014,0.0009499728],"domain_scores_gemma":[0.998631,0.00006141591,0.0007889956,0.0004532921,0.00002580202,0.000039493145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008274682,0.00012887169,0.000258822,0.000083592466,0.0004343464,0.00019220647,0.00065612636,0.00004407266,0.000019214354],"category_scores_gemma":[0.00075905677,0.00012726035,0.000029289737,0.000033345663,0.00005089793,0.0007367069,0.00010382581,0.00043185387,0.000023765608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006758067,0.00005688496,0.98981106,0.0000082837305,0.00008200832,2.7298344e-7,0.00007343291,0.0010574113,0.000016849923,0.0051596644,0.000014865602,0.0036516562],"study_design_scores_gemma":[0.0015565195,0.0002477839,0.91816324,0.000057141126,0.000015033417,0.000017099748,0.00030753942,0.010182364,0.000002509427,0.06918703,0.000025768923,0.00023796462],"about_ca_topic_score_codex":0.0012336206,"about_ca_topic_score_gemma":0.018882513,"teacher_disagreement_score":0.071647845,"about_ca_system_score_codex":0.0008238718,"about_ca_system_score_gemma":0.00029570903,"threshold_uncertainty_score":0.99902034},"labels":[],"label_agreement":null},{"id":"W4230705110","doi":"10.22215/etd/2005-13040","title":"Assessing the impact of forestry operations upon visitor satisfaction in Ontario's Algonquin provincial Park","year":2005,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Visitor pattern; Recreation; Tourism; Forestry; Geography; Logging; Wilderness; Legislation; Environmental resource management; Environmental protection; Environmental planning; Business; Political science; Ecology; Archaeology; Environmental science","score_opus":0.054227216207938946,"score_gpt":0.2829080888363538,"score_spread":0.22868087262841488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230705110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97214115,0.00014944041,0.000121606434,0.00003847842,0.0004240856,0.00044589577,0.000043125245,0.000009867906,0.026626328],"genre_scores_gemma":[0.9952129,0.00005073857,0.00047574105,0.000014441523,0.00016201321,0.00006823542,0.0007393293,0.00002906164,0.0032475372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998514,0.000021868795,0.0008881129,0.00034030696,0.000043305092,0.00019242754],"domain_scores_gemma":[0.9991493,0.000033061522,0.00044618626,0.00032408707,0.000012243611,0.00003510812],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040944136,0.00021486606,0.00039530493,0.0001991371,0.00011183712,0.00013021906,0.00018002777,0.0002773472,0.0028188536],"category_scores_gemma":[0.000041080802,0.00019407237,0.00019841806,0.000079272526,0.000020320756,0.00068299886,0.000023357901,0.00033627983,0.00013106171],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017619412,0.00007889124,0.97978383,0.000013161845,0.0000577321,2.9162334e-7,0.0011133642,0.013330693,0.00007527764,0.0030003672,0.00019504184,0.0023337228],"study_design_scores_gemma":[0.00030679774,0.000054661545,0.9921548,0.000026146849,0.000010860991,8.330357e-7,0.0007120276,0.005195619,0.00007052405,0.0011999609,0.000065222695,0.00020255438],"about_ca_topic_score_codex":0.3210419,"about_ca_topic_score_gemma":0.72800803,"teacher_disagreement_score":0.40696615,"about_ca_system_score_codex":0.001573498,"about_ca_system_score_gemma":0.00020847277,"threshold_uncertainty_score":0.9980927},"labels":[],"label_agreement":null},{"id":"W4230732278","doi":"10.1177/0022243719851490","title":"When “More” Seems Like Less: Differential Price Framing Increases the Choice Share of Higher-Priced Options","year":2019,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Framing (construction); Economics; Microeconomics; Framing effect; Welfare; Consumer welfare; Econometrics; Psychology","score_opus":0.1330334905596611,"score_gpt":0.30351168326030264,"score_spread":0.17047819270064155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230732278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915813,0.0017437654,0.00009119532,0.0008057002,0.00028749098,0.0001888003,0.000029810706,0.000004104509,0.0052677933],"genre_scores_gemma":[0.99620575,0.00054577994,0.00023308201,0.00005095149,0.0002804158,0.0000060870448,0.00000625419,0.000020169717,0.002651531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981912,0.0002998364,0.00078903814,0.00020204826,0.00020030863,0.00031756746],"domain_scores_gemma":[0.99677205,0.0020185504,0.00074719667,0.0002862401,0.00009843713,0.00007751622],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008406604,0.00010206345,0.00032317874,0.00028758578,0.00016268651,0.000090400616,0.00051042537,0.00008859679,0.0035098689],"category_scores_gemma":[0.0010798231,0.00008666334,0.00014148465,0.00016868387,0.00010222164,0.0002997415,0.00021879429,0.0005833598,0.00015332003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022092751,0.00024015928,0.9899126,0.00015073844,0.00017065041,0.0000019461734,0.00064360973,0.00040204643,0.00079675025,0.002365657,0.0037508751,0.0013439917],"study_design_scores_gemma":[0.00063046714,0.0000869912,0.98601437,0.00012523874,0.000008633786,0.000006267894,0.0009138023,0.0014337149,0.000037691312,0.0009800445,0.009658513,0.00010428304],"about_ca_topic_score_codex":0.00028982724,"about_ca_topic_score_gemma":0.000007164249,"teacher_disagreement_score":0.007326781,"about_ca_system_score_codex":0.00023631428,"about_ca_system_score_gemma":0.000045022636,"threshold_uncertainty_score":0.99740106},"labels":[],"label_agreement":null},{"id":"W4230856527","doi":"10.31235/osf.io/gnd4c","title":"Measuring the Impact of Free Goods on Real Household Consumption","year":2020,"lang":"en","type":"preprint","venue":"SocArXiv (OSF Preprints)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consumption (sociology); Economics; Reservation; Product (mathematics); Microeconomics; Measure (data warehouse); Productivity; Price index; Econometrics; Computer science; Macroeconomics; Mathematics","score_opus":0.24802757483712534,"score_gpt":0.26309825742829845,"score_spread":0.015070682591173112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230856527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9285495,0.00009112859,0.0006414762,0.00039243812,0.00041166018,0.00060931576,0.00058151945,0.00006046763,0.06866244],"genre_scores_gemma":[0.9976467,0.00129609,0.0001533456,0.000073315765,0.0001676465,0.000091165435,0.000063573214,0.000057550056,0.00045060198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975484,0.00009374869,0.000916452,0.0010950755,0.000078677374,0.0002676347],"domain_scores_gemma":[0.9967343,0.00013446684,0.0010056442,0.0020127178,0.00001082157,0.000102001686],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017649037,0.00032776,0.0006501456,0.000113762886,0.00010833431,0.000072159295,0.0009522546,0.00033141408,0.0048692226],"category_scores_gemma":[0.00026893444,0.00032323308,0.0006125478,0.000064106964,0.00016728324,0.00010496464,0.0011157882,0.00070786034,0.013476118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006835481,0.00015913355,0.90437186,0.00013227764,0.0005543008,0.0000016550748,0.0010129748,0.063838884,0.00017429062,0.025251681,0.0039308225,0.0005037393],"study_design_scores_gemma":[0.0005322452,0.000019598587,0.9145113,0.000064610984,0.000034841305,0.0000012382602,0.000043366745,0.0043061185,0.00039619525,0.079598024,0.00014789618,0.0003445377],"about_ca_topic_score_codex":0.0017337584,"about_ca_topic_score_gemma":0.000017913104,"teacher_disagreement_score":0.06909716,"about_ca_system_score_codex":0.00072074495,"about_ca_system_score_gemma":0.000054392083,"threshold_uncertainty_score":0.999922},"labels":[],"label_agreement":null},{"id":"W4232680734","doi":"10.4324/9781315257570-17","title":"Does the value of a statistical life vary with age and health status? Evidence from the US and Canada *","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Gerontology; Demography; Psychology; Medicine; Statistics; Sociology; Mathematics","score_opus":0.09128399528403613,"score_gpt":0.2257608498516394,"score_spread":0.13447685456760328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232680734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4443738,0.07420015,0.008053592,0.042396568,0.0016596057,0.004146868,0.020871853,0.000041580377,0.404256],"genre_scores_gemma":[0.9305234,0.020606708,0.0009897818,0.0027052218,0.00012892245,0.000013707365,0.000096175005,0.000041422292,0.044894654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990831,0.000011139994,0.0003882107,0.00032491345,0.000045265017,0.00014734267],"domain_scores_gemma":[0.9986464,0.00031608096,0.000536939,0.00039481936,0.000004442456,0.000101331745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038177546,0.00016038776,0.00039057463,0.00001610689,0.0001823882,0.00006055951,0.00015501188,0.00006190263,0.0005217232],"category_scores_gemma":[0.000039054787,0.00008154865,0.000019594927,0.0000025244706,0.00033260972,0.00009062461,0.00009875058,0.0001561055,0.000009318131],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003247592,0.000008414483,0.43564454,0.00006911143,0.00024215008,0.0000056563736,0.00050369865,0.00004385202,1.4561695e-7,0.5540817,0.0063128136,0.0030554617],"study_design_scores_gemma":[0.00022779677,0.00008167487,0.9286679,0.000106149375,0.0000245088,0.0000011623905,0.00006451877,0.0004077227,3.6630368e-7,0.039058276,0.03117393,0.00018597745],"about_ca_topic_score_codex":0.8077929,"about_ca_topic_score_gemma":0.6816804,"teacher_disagreement_score":0.5150234,"about_ca_system_score_codex":0.00013568431,"about_ca_system_score_gemma":0.00019512964,"threshold_uncertainty_score":0.5712503},"labels":[],"label_agreement":null},{"id":"W4233152893","doi":"10.1111/conl.12705","title":"Subsidizing extinction?","year":2020,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Western Forest Products; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Subsidy; Incentive; Harm; Natural resource economics; Accountability; Biodiversity; Government (linguistics); Public economics; Business; Action (physics); Work (physics); Economics; Environmental planning; Environmental resource management; Political science; Ecology; Geography","score_opus":0.16240333560037168,"score_gpt":0.2008509138346565,"score_spread":0.038447578234284824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233152893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90026295,0.00010733652,0.028158013,0.06762862,0.00017231551,0.00009039766,0.000010201682,0.000050728875,0.0035194373],"genre_scores_gemma":[0.94556373,0.000016176262,0.0011007125,0.053056013,0.00012394736,0.00001188121,0.000028638577,0.000011650394,0.00008726037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999374,0.000007290339,0.00028852347,0.0002137206,0.000015851483,0.00010063852],"domain_scores_gemma":[0.9996891,0.000018089206,0.00014662706,0.00009182419,0.0000029017942,0.000051430783],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012987432,0.00006659026,0.000112549584,0.000033896144,0.00006485547,0.000030911073,0.00007145191,0.000028637125,0.0011660907],"category_scores_gemma":[0.00004101136,0.00009087874,0.00004350054,0.00007828095,0.000028194187,0.0002619959,0.000018446106,0.000056625806,0.002512936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006197718,0.000010593797,0.9563825,0.000009747761,0.000018373736,9.558809e-7,0.00045725785,0.00044422402,0.0038297123,0.019068325,0.019538928,0.0002331878],"study_design_scores_gemma":[0.0006682612,0.00002773949,0.84662676,0.000004012643,0.000004991992,0.0000015614331,0.0001094084,0.013062781,0.00061439077,0.0016642518,0.13693842,0.00027743122],"about_ca_topic_score_codex":0.000029303139,"about_ca_topic_score_gemma":0.0000017129124,"teacher_disagreement_score":0.11739949,"about_ca_system_score_codex":0.000058250847,"about_ca_system_score_gemma":0.0000030630317,"threshold_uncertainty_score":0.999747},"labels":[],"label_agreement":null},{"id":"W4233936532","doi":"10.1002/9781118786352.wbieg0566","title":"Environmental Valuation","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Valuation (finance); Ecosystem services; Goods and services; Commodification; Business; Economics; Ecosystem valuation; Natural resource economics; Environmental economics; Ecosystem; Ecology; Economy; Finance","score_opus":0.030760047768662313,"score_gpt":0.21570429242053096,"score_spread":0.18494424465186865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233936532","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022463053,0.0023151939,0.00046877272,0.00008239685,0.001847433,0.00020112323,0.0011707172,0.00003109897,0.99163693],"genre_scores_gemma":[0.12356912,0.021413885,0.0017495271,0.000103570266,0.00097259326,0.000078428624,0.0011168768,0.00031450822,0.8506815],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899197,0.0000055930404,0.0004171386,0.00037023518,0.000084934945,0.00013012155],"domain_scores_gemma":[0.99839455,0.000013774931,0.001152881,0.0003911458,0.0000035184944,0.0000441054],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020019864,0.0001873798,0.00031801034,0.00050531287,0.000036893383,0.00001950346,0.00046578198,0.00019632962,0.011360508],"category_scores_gemma":[0.000027450158,0.00023929014,0.00022659061,0.000018761315,0.00014102407,0.00012373007,0.000090174915,0.00010242351,0.0014586034],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071853783,0.00017282934,0.8249131,0.000024263038,0.00043723994,0.0000018502438,0.00005809521,0.000018947841,0.000005867724,0.017532457,0.1487257,0.008102488],"study_design_scores_gemma":[0.00030488707,0.000020606181,0.18957978,0.0000340183,0.000012262431,9.1034656e-7,0.0000052924593,0.00006766175,0.0000028347413,0.008527916,0.8012482,0.00019566098],"about_ca_topic_score_codex":0.0005155403,"about_ca_topic_score_gemma":0.000022856088,"teacher_disagreement_score":0.65252244,"about_ca_system_score_codex":0.000064535154,"about_ca_system_score_gemma":0.000006935996,"threshold_uncertainty_score":0.9993189},"labels":[],"label_agreement":null},{"id":"W4235190950","doi":"10.2196/preprints.13355","title":"Web Comparison of Three Contingent Valuation Techniques in Women of Childbearing Age: The Case of Ovulation Induction in Quebec (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut universitaire en santé mentale de Montréal; Institut Universitaire en Santé Mentale de Québec; Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Contingent valuation; Ovulation induction; Infertility; Respondent; Gynecology; Ovulation; Medicine; Willingness to pay; Anovulation; Demography; Economics; Pregnancy; Political science; Internal medicine","score_opus":0.12065109873319144,"score_gpt":0.2718496714184982,"score_spread":0.15119857268530676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235190950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919782,0.00023552855,0.0035254282,0.00006389638,0.00016462276,0.0011184888,0.000023026832,0.000009538634,0.0028812662],"genre_scores_gemma":[0.9989149,0.00009793538,0.0007431066,0.00000794029,0.000020619307,0.00009764683,0.000035207355,0.000015515701,0.00006714818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977008,0.00005492171,0.0016867219,0.0003739942,0.000045694014,0.0001378811],"domain_scores_gemma":[0.9977147,0.00006912209,0.0017078636,0.00047130723,0.000021435691,0.000015590826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022628785,0.00015402435,0.0006899831,0.00043185102,0.00001668518,0.0000150633305,0.0001790949,0.00025059012,0.00014967863],"category_scores_gemma":[0.00007623911,0.00016283517,0.00009244757,0.00012560553,0.000075191165,0.00015779398,0.00027262705,0.0003141604,0.000009571549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027216101,0.00018679,0.8965868,0.00016689184,0.00003650871,5.1730547e-7,0.004135223,0.07808416,0.00038490415,0.008605225,0.0000051032157,0.011780665],"study_design_scores_gemma":[0.0004647455,0.00005161048,0.91059095,0.00014537752,0.0000074044165,0.0000012917062,0.0013304375,0.06669136,0.003696685,0.016840395,0.000018319754,0.0001614116],"about_ca_topic_score_codex":0.057986457,"about_ca_topic_score_gemma":0.025753098,"teacher_disagreement_score":0.032233357,"about_ca_system_score_codex":0.00069724384,"about_ca_system_score_gemma":0.0000421245,"threshold_uncertainty_score":0.99202436},"labels":[],"label_agreement":null},{"id":"W4236596429","doi":"10.1177/0361198106197700122","title":"Conceptual Model of Location of Small Office Firms","year":2006,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Conceptual model; Process (computing); Market segmentation; Utility maximization; Conceptual framework; Maximization; Population; Homogeneous; Location model; Computer science; Industrial organization; Economics; Business; Microeconomics","score_opus":0.23795238590592202,"score_gpt":0.315363562814511,"score_spread":0.07741117690858898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236596429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834758,0.00058854197,0.013880876,0.0005724682,0.00018321602,0.0004990728,0.00015970661,0.0000063078705,0.000634],"genre_scores_gemma":[0.99559397,0.00045581924,0.0029794206,0.000014698654,0.00007496905,0.000022812057,0.000033817585,0.000031340864,0.0007931574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996289,0.00020899202,0.0021793777,0.0002977544,0.0006092288,0.00041563937],"domain_scores_gemma":[0.9967533,0.00036744383,0.0012199158,0.00035978464,0.0011854375,0.00011413844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038031535,0.00015398154,0.000504466,0.00068045285,0.00017104435,0.00002467927,0.00064152724,0.0001580706,0.0002966291],"category_scores_gemma":[0.00011024971,0.00014338207,0.00027455844,0.0010039447,0.00078122894,0.00042611826,0.0000062920676,0.00071283086,0.000032411477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073045975,0.00045744906,0.71785295,0.00025465328,0.000101249294,0.0000029816722,0.0019937807,0.13489917,0.0036966456,0.13815965,0.0013367445,0.0005142827],"study_design_scores_gemma":[0.0013223579,0.00033769518,0.9669189,0.00013987078,0.000020025156,1.2022613e-7,0.0009424348,0.0042560534,0.0032123686,0.021851484,0.00086083246,0.00013788075],"about_ca_topic_score_codex":0.01160014,"about_ca_topic_score_gemma":0.009659001,"teacher_disagreement_score":0.24906594,"about_ca_system_score_codex":0.00021130171,"about_ca_system_score_gemma":0.00023885573,"threshold_uncertainty_score":0.9949817},"labels":[],"label_agreement":null},{"id":"W4236728582","doi":"10.31230/osf.io/azqhx","title":"Adaptive social impact management for conservation and environmental management","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adaptive management; Social learning; Social impact assessment; Coproduction; Corporate governance; Business; Environmental resource management; Deliberation; Process management; Accountability; Environmental planning; Social engagement; Public relations; Knowledge management; Political science; Economics; Computer science; Geography","score_opus":0.10865857086281476,"score_gpt":0.24684262817537284,"score_spread":0.13818405731255806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236728582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85883373,0.0007314548,0.062043477,0.0006659062,0.0007093487,0.0031465718,0.0021909704,0.00006654341,0.07161199],"genre_scores_gemma":[0.983726,0.000697714,0.009366139,0.00036280084,0.00018461053,0.00038954624,0.00082442927,0.000042080574,0.00440665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99850005,0.000010001104,0.0005232814,0.00068816677,0.000034092438,0.00024442433],"domain_scores_gemma":[0.9993016,0.000015127294,0.00039435652,0.00023161017,0.0000027321946,0.000054531716],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039745175,0.0002686105,0.0003651305,0.00015410196,0.00016154956,0.00007659404,0.00015016666,0.00018498719,0.00088724104],"category_scores_gemma":[0.0000014480376,0.00032277108,0.00018124712,0.000021204285,0.00011668033,0.00012200116,0.0004917117,0.00009874082,0.00029478056],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004212063,0.0007374861,0.2992421,0.00095126097,0.004667324,0.0000063784028,0.0018819026,0.0009203159,0.000008121516,0.58451307,0.079426646,0.027224146],"study_design_scores_gemma":[0.001759265,0.00019045633,0.7741873,0.000028751838,0.00011375833,0.0000013609207,0.00078735925,0.025844242,0.000015283309,0.18645382,0.009857609,0.0007607664],"about_ca_topic_score_codex":0.000069962676,"about_ca_topic_score_gemma":0.000005439241,"teacher_disagreement_score":0.4749452,"about_ca_system_score_codex":0.000569445,"about_ca_system_score_gemma":0.0000032374708,"threshold_uncertainty_score":0.99992245},"labels":[],"label_agreement":null},{"id":"W4236931328","doi":"10.32920/ryerson.14668245","title":"Does Pet Policy in a Condominium Building Impact Property Values?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Allowance (engineering); Downtown; Occupancy; Business; Breed; Property (philosophy); Agricultural economics; Economics; Geography; Operations management; Engineering; Architectural engineering","score_opus":0.0794276888664567,"score_gpt":0.27093506410925194,"score_spread":0.19150737524279526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236931328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97099817,0.00050454435,0.00067308336,0.0010585437,0.0007284125,0.0005101819,0.00016829465,0.000035946465,0.025322847],"genre_scores_gemma":[0.9895424,0.00085586344,0.0023522049,0.00034182039,0.0002765619,0.00010935752,0.00014356512,0.000048539776,0.0063296505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976778,0.000038783535,0.0009788189,0.0008789971,0.00003512364,0.00039048117],"domain_scores_gemma":[0.99878716,0.00004308512,0.00046919746,0.0005883537,0.000008553219,0.00010362014],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081304635,0.00033285157,0.0008257827,0.00042518383,0.000048787973,0.00021173344,0.00031072856,0.00022082987,0.0036598525],"category_scores_gemma":[0.0001472621,0.00022428457,0.00032668954,0.000121956684,0.000063077176,0.00026129742,0.0006425729,0.00045341297,0.00035552608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003721163,0.00031108453,0.9635693,0.00020156776,0.000248726,0.000028711416,0.0012359577,0.01789062,0.00013678755,0.014407166,0.000764829,0.0011680744],"study_design_scores_gemma":[0.0029345518,0.00009460029,0.85234666,0.00023697258,0.000024207959,0.00002209783,0.00080640917,0.04801202,0.00053889246,0.090382695,0.0028661983,0.0017347096],"about_ca_topic_score_codex":0.01047302,"about_ca_topic_score_gemma":0.0002338261,"teacher_disagreement_score":0.11122262,"about_ca_system_score_codex":0.001295417,"about_ca_system_score_gemma":0.00013175838,"threshold_uncertainty_score":0.9972509},"labels":[],"label_agreement":null},{"id":"W4237038583","doi":"10.1080/10548400109511556","title":"Cross‐cultural tourist behavior: An analysis of tourist attitudes towards the environment","year":2001,"lang":"en","type":"article","venue":"Journal of Travel & Tourism Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tourism; Contingent valuation; Willingness to pay; Valuation (finance); Confusion; Marketing; Order (exchange); Business; Cross-cultural; Recreation; Psychology; Advertising; Economics; Geography; Political science; Microeconomics; Law","score_opus":0.07689679265427232,"score_gpt":0.26894838163458584,"score_spread":0.19205158898031352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237038583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932711,0.0010450068,0.0010063325,0.00032620385,0.0002255511,0.00011830077,0.00005262399,0.0000046529835,0.0039502014],"genre_scores_gemma":[0.99629396,0.0009920802,0.0013524279,0.00007865981,0.0002880781,0.000006772025,0.00001581293,0.00002116178,0.0009510686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766064,0.00010639187,0.0015132669,0.00027619983,0.00015982756,0.0002836512],"domain_scores_gemma":[0.9976384,0.00010928964,0.001746134,0.00033637063,0.000039897124,0.00012990991],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0040386175,0.00020161465,0.0006508351,0.00032186005,0.0001995562,0.00015066915,0.0004787421,0.00011153062,0.0023948636],"category_scores_gemma":[0.00011988529,0.0001698199,0.00052928104,0.0002146693,0.00017676549,0.0005692277,0.00007658431,0.00028002387,0.000022983779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007145996,0.00027867968,0.9878147,0.000010204527,0.00051448133,0.000022447424,0.00050810835,0.0048229517,0.00023280406,0.00015152166,0.00018939801,0.0053832433],"study_design_scores_gemma":[0.000491054,0.00011203638,0.99423677,0.000014479698,0.00034550598,0.000029126493,0.0005018856,0.0020447734,0.00010936989,0.00011648991,0.001804474,0.00019405645],"about_ca_topic_score_codex":0.00031779383,"about_ca_topic_score_gemma":0.000025615282,"teacher_disagreement_score":0.0064220484,"about_ca_system_score_codex":0.00029564733,"about_ca_system_score_gemma":0.00001691386,"threshold_uncertainty_score":0.9985171},"labels":[],"label_agreement":null},{"id":"W4238792341","doi":"10.1002/(sici)1520-6688(200024)19:1<23::aid-pam3>3.3.co;2-3","title":"Net loss: A cost‐benefit analysis of the Canadian Pacific salmon fishery","year":2000,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economic rent; Fishery; Public policy; Business; Private sector; Fisheries management; Government (linguistics); Economics; Resource (disambiguation); Natural resource economics; Agricultural economics; Fishing; Economic growth; Market economy","score_opus":0.03429787516006122,"score_gpt":0.21360949973344237,"score_spread":0.17931162457338115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238792341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94437414,0.00053228624,0.0003441141,0.003663,0.000055615932,0.00013615728,0.000105215586,0.0000019246165,0.050787568],"genre_scores_gemma":[0.994301,0.0022761147,0.00014121085,0.00047282357,0.000045794866,0.0000028882223,0.000011176357,0.0000058718997,0.0027430821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879193,0.0000176887,0.00079893274,0.0001574913,0.00006192729,0.00017202595],"domain_scores_gemma":[0.9990014,0.000014233673,0.0006022218,0.00025476204,0.000012732588,0.00011467973],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006496881,0.00009972665,0.00049151713,0.0014759824,0.00011017493,0.000058707723,0.00019502989,0.000047014153,0.0017104117],"category_scores_gemma":[0.000008095842,0.0000856564,0.0005040941,0.0013660325,0.00005852547,0.00013611697,0.000028744613,0.00007342789,0.000019219906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012869459,0.000071509625,0.9006654,0.000013543963,0.011845423,0.000004380862,0.00043035278,0.047518183,9.153669e-7,0.026206102,0.0014509754,0.011780337],"study_design_scores_gemma":[0.00021899746,0.000020636366,0.9503352,0.0000047047292,0.00220947,0.0000011632728,0.00012465708,0.0046480983,0.0000029508865,0.0025147966,0.03982758,0.000091731585],"about_ca_topic_score_codex":0.044339277,"about_ca_topic_score_gemma":0.058889166,"teacher_disagreement_score":0.049926918,"about_ca_system_score_codex":0.00030493122,"about_ca_system_score_gemma":0.00001505755,"threshold_uncertainty_score":0.99920213},"labels":[],"label_agreement":null},{"id":"W4240236301","doi":"10.1016/s0380-1330(08)71607-1","title":"Economic Benefits of Remediating the Buffalo River, New York Area of Concern","year":2008,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Revenue; Value (mathematics); Willingness to pay; Market value; Property value; Agricultural economics; Residential property; Property tax; Property market; Market price; Hedonic pricing; Economics; Business; Natural resource economics; Finance; Economic geography; Microeconomics; Econometrics","score_opus":0.3331130009739529,"score_gpt":0.30161921472379577,"score_spread":0.03149378625015714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240236301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858569,0.006810537,0.00006924727,0.00039610424,0.00020048225,0.00011318218,0.000048514416,0.000001720959,0.0065033254],"genre_scores_gemma":[0.99474937,0.0035480817,0.0003356638,0.00001809132,0.00027621535,0.0000016120658,0.000002789684,0.000014233388,0.0010539293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844587,0.000049379225,0.0010071276,0.00014934214,0.00012291453,0.00022538497],"domain_scores_gemma":[0.9983979,0.000309158,0.00089435535,0.00024604634,0.0000551186,0.00009743056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018287087,0.0000913036,0.00042040765,0.00024639966,0.00012189638,0.000013645679,0.00040960268,0.00007563298,0.0006253542],"category_scores_gemma":[0.00018659722,0.00007797574,0.00016911632,0.000118437994,0.0003566653,0.00021847471,0.0000738768,0.00028231213,0.00011105453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082209444,0.00005922876,0.97112566,0.000019562609,0.00012994379,0.000003372718,0.002880379,0.0056236363,0.00013125499,0.007159995,0.008473623,0.004311132],"study_design_scores_gemma":[0.0022296433,0.00077426556,0.97147894,0.00012452061,0.000018168364,0.00009805373,0.00091036357,0.0020964292,0.0027678187,0.008314296,0.0109650735,0.00022242966],"about_ca_topic_score_codex":0.0006305243,"about_ca_topic_score_gemma":0.00007763486,"teacher_disagreement_score":0.008892497,"about_ca_system_score_codex":0.00023692686,"about_ca_system_score_gemma":0.00011627139,"threshold_uncertainty_score":0.68471897},"labels":[],"label_agreement":null},{"id":"W4240600065","doi":"10.1017/9781108235594.018","title":"Contingent Valuation: Using Surveys to Elicit Information about Costs and Benefits","year":2018,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Contingent valuation; Discounting; Valuation (finance); Craft; Preference; Time preference; Cost–benefit analysis; Actuarial science; Cover (algebra); Variety (cybernetics); Preference elicitation; Economics; Computer science; Management science; Operations research; Microeconomics; Willingness to pay; Engineering; Finance; Artificial intelligence; Political science","score_opus":0.10594332164800888,"score_gpt":0.1994220897021464,"score_spread":0.09347876805413752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240600065","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074745744,0.00029675153,0.0049820887,0.000017846269,0.00029138272,0.00054792804,0.0008766648,0.00003257386,0.918209],"genre_scores_gemma":[0.09559875,0.0005493337,0.0007172259,0.00035641188,0.0002367839,0.0000024880073,0.00034334097,0.0000607811,0.9021349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989924,0.000016707942,0.00039850973,0.0003566185,0.00005557021,0.00018020466],"domain_scores_gemma":[0.9990116,0.000026154172,0.0004894981,0.00028047842,0.0000562278,0.00013606959],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057801855,0.0002336016,0.00035454828,0.00024240006,0.00018407765,0.00008235986,0.00016489395,0.00023398551,0.00006840395],"category_scores_gemma":[0.000016680076,0.00034856552,0.000082072205,0.0000071033637,0.0000902085,0.00033255172,0.00022263288,0.00012499445,0.00034343326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019258207,0.0000048812612,0.0010960334,0.00003187545,0.00010011991,0.0000015467481,0.00022055904,0.00015703059,0.0000028892598,0.9920841,0.0017230042,0.0045586918],"study_design_scores_gemma":[0.0012375255,0.00013437441,0.029371113,0.00019598393,0.000109495304,0.000007756417,0.000074197415,0.0033208798,0.00008674241,0.00019670792,0.9642905,0.00097472453],"about_ca_topic_score_codex":0.0004193025,"about_ca_topic_score_gemma":0.000009895841,"teacher_disagreement_score":0.9918874,"about_ca_system_score_codex":0.00054390886,"about_ca_system_score_gemma":0.000016757052,"threshold_uncertainty_score":0.99989665},"labels":[],"label_agreement":null},{"id":"W4240802710","doi":"10.22215/etd/2018-13226","title":"Combining Species Distribution Models and Value of Information Analysis for Spatial Allocation of Conservation Resources","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Threatened species; Value of information; Purchasing; Computer science; Value (mathematics); Environmental resource management; Risk analysis (engineering); Operations research; Business; Environmental economics; Environmental science; Engineering; Economics; Ecology; Artificial intelligence","score_opus":0.05978901429370596,"score_gpt":0.22056682170712855,"score_spread":0.1607778074134226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240802710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77977914,0.00012248664,0.21419837,0.00003920447,0.00013440067,0.00034043915,0.00079344184,0.000008239889,0.0045842845],"genre_scores_gemma":[0.9800073,0.00018500134,0.001592108,0.000020225909,0.000029946228,0.000037492526,0.017490873,0.000009544803,0.0006275153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985623,0.000010872611,0.0010794094,0.00020093305,0.00004934879,0.00009717867],"domain_scores_gemma":[0.998056,0.000057782003,0.0016108481,0.0001612077,0.0000897266,0.000024447845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052941137,0.00013838966,0.0004920145,0.0003219213,0.000066131804,0.000029715577,0.00008361818,0.0001962889,0.00010382099],"category_scores_gemma":[0.00007523672,0.00016974994,0.00013945594,0.00016480072,0.00006149766,0.00055807596,0.000014686174,0.000044929315,0.0000067749666],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003442826,0.00013084052,0.22053641,0.0008859331,0.001307722,1.5543558e-8,0.0075092935,0.01130749,0.0001693193,0.7543546,0.0005723678,0.0028817037],"study_design_scores_gemma":[0.0006119609,0.00015613226,0.6766217,0.000039235976,0.00027020232,9.395691e-8,0.0013672152,0.2916166,0.0017220624,0.026377289,0.0009883008,0.00022922311],"about_ca_topic_score_codex":0.0013940226,"about_ca_topic_score_gemma":0.00033735382,"teacher_disagreement_score":0.72797734,"about_ca_system_score_codex":0.00008799938,"about_ca_system_score_gemma":0.000014905577,"threshold_uncertainty_score":0.69222015},"labels":[],"label_agreement":null},{"id":"W4242204754","doi":"10.1023/a:1013221421382","title":"The Endowment Effect and Repeated Market Trials: Is the Vickrey Auction Demand Revealing?","year":2001,"lang":"en","type":"article","venue":"Experimental Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Vickrey auction; Economics; Generalized second-price auction; Context (archaeology); Microeconomics; Valuation (finance); Econometrics; Auction theory; Common value auction","score_opus":0.0702647754424305,"score_gpt":0.25538020366584385,"score_spread":0.18511542822341337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242204754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96573466,0.015129471,0.00028788,0.0016279094,0.0010078746,0.0007888766,0.00004417867,0.00003811451,0.015341029],"genre_scores_gemma":[0.98787117,0.008593252,0.00007478451,0.0005303258,0.00025087668,0.00016950235,0.000020581205,0.000031284853,0.0024582285],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982201,0.00012791794,0.0008900606,0.00047097073,0.000022737677,0.0002682333],"domain_scores_gemma":[0.99867916,0.00048281145,0.00039207176,0.0003694951,0.000003262366,0.00007319481],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034246207,0.00021492601,0.00040662286,0.00005464126,0.00054197595,0.0002907432,0.00018787009,0.00009318659,0.00098451],"category_scores_gemma":[0.00007036401,0.00016332294,0.00017174725,0.00004993576,0.00015348716,0.0003275768,0.000085252024,0.00012155173,0.00022060322],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030180179,0.00084269803,0.49886698,0.000135451,0.003768616,0.000024308587,0.015883453,0.003134413,0.002716547,0.23682463,0.10998167,0.12480323],"study_design_scores_gemma":[0.0056684106,0.00088851235,0.089972384,0.000056398247,0.00008522932,0.0001889744,0.00260151,0.07891078,0.023800645,0.013781441,0.78265476,0.0013909652],"about_ca_topic_score_codex":0.00018251687,"about_ca_topic_score_gemma":0.000015748165,"teacher_disagreement_score":0.6726731,"about_ca_system_score_codex":0.0004079058,"about_ca_system_score_gemma":0.000009393407,"threshold_uncertainty_score":0.9999287},"labels":[],"label_agreement":null},{"id":"W4242204800","doi":"10.1108/s0573-855520180000294020","title":"Index","year":2018,"lang":"en","type":"paratext","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Health care; Actuarial science; Index (typography); Econometrics; Medicine; Economics; Psychology; Statistics; Computer science; Mathematics","score_opus":0.1086460745940896,"score_gpt":0.22377674178318255,"score_spread":0.11513066718909294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242204800","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003821787,0.0016054449,0.0046948525,0.0001389992,0.0030478884,0.00014244921,0.00024215702,0.000015631786,0.9862908],"genre_scores_gemma":[0.09273451,0.00078172376,0.0002485448,0.00063634943,0.0008293725,0.000025410542,0.0003468928,0.000044518572,0.90435266],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998816,0.0000049722616,0.0005051172,0.0004522502,0.000016055474,0.00020559711],"domain_scores_gemma":[0.9992545,0.0000106682455,0.00032963065,0.000344515,0.0000044204257,0.000056229474],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021233936,0.00018365459,0.00038229354,0.00014328955,0.000056191024,0.00004851971,0.00021065921,0.00031308035,0.2917445],"category_scores_gemma":[0.000008092133,0.00022143552,0.000115677416,0.000046837904,0.000070383954,0.000113400725,0.00008080364,0.00014136033,0.6850296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016999825,0.000019789806,0.0077766674,0.000013116079,0.00003958036,1.3942149e-7,0.00002763938,0.000027841059,3.1464603e-7,0.0091386475,0.9827814,0.00017317213],"study_design_scores_gemma":[0.00019364548,0.000032025957,0.009830949,0.000007807245,0.0000024234178,9.634249e-7,0.000010493581,0.00037038277,0.000012782532,0.0050661457,0.9841698,0.00030262463],"about_ca_topic_score_codex":0.0002054303,"about_ca_topic_score_gemma":0.000011156132,"teacher_disagreement_score":0.39328516,"about_ca_system_score_codex":0.00019638783,"about_ca_system_score_gemma":0.000011263692,"threshold_uncertainty_score":0.90298784},"labels":[],"label_agreement":null},{"id":"W4245428707","doi":"10.3819/ccbr.2012.7003","title":"Optimal and Non-optimal Behavior Across Species","year":2012,"lang":"en","type":"article","venue":"Comparative Cognition & Behavior Reviews","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Comparative cognition; Animal behavior; Psychology; Evolutionary biology; Cognitive psychology; Biology; Developmental psychology; Zoology; Neuroscience; Cognition","score_opus":0.35586451852387435,"score_gpt":0.3454699141222714,"score_spread":0.010394604401602947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245428707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98124623,0.011143888,0.0016891605,0.000024933532,0.00032120693,0.0010440429,0.00026968893,0.000022034243,0.0042388025],"genre_scores_gemma":[0.992743,0.002703998,0.0021317974,0.00012319228,0.00017103316,0.0008441233,0.00021657023,0.000020650772,0.0010456482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837756,0.0000402391,0.00078728696,0.0003753263,0.000037614256,0.00038194607],"domain_scores_gemma":[0.99912655,0.000025886055,0.00044398854,0.00021615358,0.000018949855,0.00016843942],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006458391,0.00025354567,0.00065377535,0.00006730644,0.00022060976,0.000081968814,0.00011134501,0.00008755976,0.002243054],"category_scores_gemma":[0.000017783816,0.00027863772,0.00015013466,0.00009195917,0.00019462951,0.00073677313,0.00009343488,0.00016598901,0.0044780327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014337833,0.0006563886,0.98707294,0.000034123943,0.000023122517,0.0000016558143,0.003243251,0.000008348827,0.0008296024,0.001581796,0.0018651213,0.004669278],"study_design_scores_gemma":[0.000555111,0.000075902644,0.9459546,0.000027611595,0.00007375204,0.000013942231,0.00051972375,0.000057593657,0.00067635626,0.000023415165,0.051658936,0.00036302934],"about_ca_topic_score_codex":0.000009579978,"about_ca_topic_score_gemma":0.000004212819,"teacher_disagreement_score":0.049793813,"about_ca_system_score_codex":0.000108592605,"about_ca_system_score_gemma":0.0000039767683,"threshold_uncertainty_score":0.99996656},"labels":[],"label_agreement":null},{"id":"W4246424582","doi":"10.32920/ryerson.14668245.v1","title":"Does Pet Policy in a Condominium Building Impact Property Values?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Allowance (engineering); Downtown; Business; Occupancy; Breed; Property (philosophy); Unit price; Agricultural economics; Economics; Geography; Operations management; Engineering; Microeconomics; Architectural engineering","score_opus":0.0794276888664567,"score_gpt":0.27093506410925194,"score_spread":0.19150737524279526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246424582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97099817,0.00050454435,0.00067308336,0.0010585437,0.0007284125,0.0005101819,0.00016829465,0.000035946465,0.025322847],"genre_scores_gemma":[0.9895424,0.00085586344,0.0023522049,0.00034182039,0.0002765619,0.00010935752,0.00014356512,0.000048539776,0.0063296505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976778,0.000038783535,0.0009788189,0.0008789971,0.00003512364,0.00039048117],"domain_scores_gemma":[0.99878716,0.00004308512,0.00046919746,0.0005883537,0.000008553219,0.00010362014],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081304635,0.00033285157,0.0008257827,0.00042518383,0.000048787973,0.00021173344,0.00031072856,0.00022082987,0.0036598525],"category_scores_gemma":[0.0001472621,0.00022428457,0.00032668954,0.000121956684,0.000063077176,0.00026129742,0.0006425729,0.00045341297,0.00035552608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003721163,0.00031108453,0.9635693,0.00020156776,0.000248726,0.000028711416,0.0012359577,0.01789062,0.00013678755,0.014407166,0.000764829,0.0011680744],"study_design_scores_gemma":[0.0029345518,0.00009460029,0.85234666,0.00023697258,0.000024207959,0.00002209783,0.00080640917,0.04801202,0.00053889246,0.090382695,0.0028661983,0.0017347096],"about_ca_topic_score_codex":0.01047302,"about_ca_topic_score_gemma":0.0002338261,"teacher_disagreement_score":0.11122262,"about_ca_system_score_codex":0.001295417,"about_ca_system_score_gemma":0.00013175838,"threshold_uncertainty_score":0.9972509},"labels":[],"label_agreement":null},{"id":"W4246922240","doi":"10.1111/cjag.12131","title":"Issue Information","year":2016,"lang":"fr","type":"paratext","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Library science; Information retrieval; World Wide Web","score_opus":0.04101117659142159,"score_gpt":0.15938714556012284,"score_spread":0.11837596896870126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246922240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85146755,0.007428438,0.00014672753,0.01734772,0.043906886,0.00082606816,0.008938723,0.000010378366,0.069927536],"genre_scores_gemma":[0.7274458,0.008936276,0.00078313524,0.002657291,0.010449917,0.00007008829,0.0018051857,0.00019351476,0.24765882],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917624,0.0000874861,0.0051639373,0.00088181713,0.000019203164,0.0020851558],"domain_scores_gemma":[0.9887511,0.0002140171,0.006975478,0.00073764974,0.0002697903,0.0030519296],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012683235,0.0011562277,0.0025988754,0.0015281369,0.00056219526,0.0007526564,0.0016517761,0.0012476548,0.046137717],"category_scores_gemma":[0.00024812203,0.001221805,0.0012259375,0.00021293672,0.0005454248,0.0049555944,0.000096403775,0.0010302418,0.073653415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013048113,0.00009325727,0.046914246,0.0007737825,0.0028344619,0.00006728554,0.0067045856,0.025131572,0.0000117029385,0.13017495,0.76335645,0.023807237],"study_design_scores_gemma":[0.0016596986,0.0005630277,0.09484511,0.00047256562,0.0001380634,0.0005734163,0.0014478903,0.00012345167,0.000027401737,0.0032709874,0.89526606,0.001612357],"about_ca_topic_score_codex":0.045085248,"about_ca_topic_score_gemma":0.36477023,"teacher_disagreement_score":0.31968498,"about_ca_system_score_codex":0.015083077,"about_ca_system_score_gemma":0.0014745648,"threshold_uncertainty_score":0.9990232},"labels":[],"label_agreement":null},{"id":"W4247303123","doi":"10.1007/978-94-007-0753-5_103189","title":"Preference Measures","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Preference; Psychology; Statistics; Mathematics","score_opus":0.2599582730538841,"score_gpt":0.1921283042032663,"score_spread":0.06782996885061779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247303123","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015341284,0.0009170016,0.0067312587,0.00011426994,0.00027037936,0.00013623277,0.000056947138,0.000038124457,0.9915824],"genre_scores_gemma":[0.09037712,0.0006340887,0.00032886746,0.0003429333,0.00015032277,0.000008742682,0.000057902475,0.000043916236,0.9080561],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989372,0.0000020912448,0.0004813381,0.00041735178,0.000025431094,0.00013662009],"domain_scores_gemma":[0.99924546,0.00001771806,0.0003234915,0.00034991052,0.0000052066057,0.00005823769],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027167774,0.00020060853,0.0003853073,0.00009979015,0.00004287731,0.000030540272,0.000173233,0.00024433335,0.01692577],"category_scores_gemma":[0.000011196036,0.00023644368,0.00012676054,0.000004873605,0.000051357627,0.00005705398,0.000054396343,0.00014753673,0.02967434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012785694,0.0000032877488,0.0016235402,0.000008150059,0.00003315676,1.7950187e-7,0.000014514462,0.000015210874,4.346703e-7,0.98934466,0.005685481,0.0032701048],"study_design_scores_gemma":[0.00012188348,0.000026862848,0.0027170258,0.000012490879,0.00000622626,9.298654e-7,0.0000011690486,0.000106291205,0.000004758647,0.29046208,0.7062609,0.0002793616],"about_ca_topic_score_codex":0.000030474766,"about_ca_topic_score_gemma":0.000018343038,"teacher_disagreement_score":0.7005755,"about_ca_system_score_codex":0.0001353565,"about_ca_system_score_gemma":0.000006148999,"threshold_uncertainty_score":0.9839729},"labels":[],"label_agreement":null},{"id":"W4248083434","doi":"10.3410/f.1061834.513772","title":"Faculty Opinions recommendation of Ordering effect and price sensitivity in discrete choice experiments: need we worry?","year":2007,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Worry; Sensitivity (control systems); Discrete choice; Psychology; Computer science; Machine learning; Engineering; Psychiatry","score_opus":0.062448520593757925,"score_gpt":0.32925981547442196,"score_spread":0.266811294880664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248083434","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000095931835,0.0028280283,0.00013167618,0.03793988,0.00055757375,0.001151696,0.95715576,0.000014057951,0.00012539259],"genre_scores_gemma":[0.00038657637,0.0010190858,0.00034849969,0.0010194923,0.00012406705,0.000121737256,0.9966457,0.000022643611,0.0003122088],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99698716,0.0001909795,0.0016387618,0.0006556046,0.00022752893,0.00029993558],"domain_scores_gemma":[0.99704516,0.00021656157,0.0015830833,0.000740478,0.0002545523,0.00016016731],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027273474,0.00039316397,0.0009733252,0.00043074478,0.0001222473,0.000082066974,0.00044546594,0.00047935382,0.00030518652],"category_scores_gemma":[0.002553117,0.0003235622,0.000273842,0.00090002175,0.00020419153,0.0004649435,0.00036873427,0.0006376656,0.0000526022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010227163,0.00016009399,0.0015351088,0.0027475774,0.000071001035,1.5723764e-7,0.00013022654,0.0000010106527,0.00000136476,0.0003552694,0.9940652,0.0009227144],"study_design_scores_gemma":[0.00077483256,0.00008113346,0.041646387,0.0032317468,0.000030064202,0.000008152363,0.000030716947,0.00006333117,0.000014052373,0.000035318564,0.9537981,0.00028614048],"about_ca_topic_score_codex":0.0002498021,"about_ca_topic_score_gemma":0.000023193672,"teacher_disagreement_score":0.040267125,"about_ca_system_score_codex":0.00022576211,"about_ca_system_score_gemma":0.000050756582,"threshold_uncertainty_score":0.9999216},"labels":[],"label_agreement":null},{"id":"W4248741753","doi":"10.1007/978-94-007-0753-5_100732","title":"Consumer Preferences","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Business","score_opus":0.15001142152021388,"score_gpt":0.19818242406211664,"score_spread":0.04817100254190276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248741753","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004951059,0.0013508428,0.0012816589,0.00009656043,0.00032876662,0.00013229219,0.00008099694,0.000032901935,0.99620086],"genre_scores_gemma":[0.07262328,0.0009286583,0.00030706404,0.00036993448,0.00011856778,0.000008386278,0.00008854473,0.000037316757,0.9255183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989643,0.0000019305237,0.0004913746,0.0003934896,0.000019036215,0.00012986496],"domain_scores_gemma":[0.9992808,0.000025845144,0.00034711245,0.0002876533,0.000003982376,0.00005457281],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020191228,0.00019355219,0.00039583058,0.000098710676,0.000041200663,0.00003119759,0.0001455857,0.00024239835,0.040791567],"category_scores_gemma":[0.000007190492,0.00022054494,0.00011900719,0.0000044857516,0.00007729346,0.000055166896,0.000049845163,0.00013305858,0.04437484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010271094,0.0000033172757,0.004605955,0.000009334495,0.000045352106,1.8487788e-7,0.000013048285,0.000004633432,1.4809257e-7,0.9835556,0.009356576,0.0024048316],"study_design_scores_gemma":[0.00011946386,0.000023204595,0.0023258007,0.000010332927,0.0000072006146,8.708868e-7,0.0000018519015,0.00006997797,0.0000022488898,0.30541262,0.6917717,0.0002547475],"about_ca_topic_score_codex":0.000036336227,"about_ca_topic_score_gemma":0.00001735307,"teacher_disagreement_score":0.6824151,"about_ca_system_score_codex":0.00008725916,"about_ca_system_score_gemma":0.0000060805996,"threshold_uncertainty_score":0.9600853},"labels":[],"label_agreement":null},{"id":"W4249416452","doi":"10.1016/j.jval.2013.03.1149","title":"Empirical Comparison Of Discrete Choice Experiment And Best-Worst Scaling To Estimate Stakeholders' Risk Tolerance For Hip Replacement Surgery","year":2013,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Logit; Mixed logit; Medicine; Population; Hip replacement; Arthroplasty; Physical therapy; Logistic regression; Statistics; Surgery; Mathematics; Environmental health","score_opus":0.3436284322013221,"score_gpt":0.3635771169670837,"score_spread":0.019948684765761615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249416452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900047,0.0021727998,0.005344289,0.001196158,0.00020222619,0.0009233109,0.000060015478,0.000009009906,0.000087498105],"genre_scores_gemma":[0.99271834,0.00022163728,0.006529319,0.00021204034,0.000039830273,0.00019678428,0.000015798032,0.000018250423,0.00004802626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981428,0.00004386662,0.0010779853,0.0003956229,0.000037954043,0.00030180826],"domain_scores_gemma":[0.99882424,0.00032821516,0.0004864219,0.00021523137,0.0000072617863,0.00013862022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011373443,0.00012572738,0.00051861024,0.00013591998,0.00009171687,0.000028220264,0.00007071711,0.000051144165,0.00006675234],"category_scores_gemma":[0.00012963705,0.00014736727,0.000055775705,0.00008038935,0.000034415723,0.00014082917,0.000040391104,0.00008162299,0.000051239687],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020909412,0.00011824504,0.95411754,0.00011232303,0.000008174692,3.148649e-8,0.0015807027,0.04122603,0.0000070783394,0.000496852,0.0006223657,0.0016897647],"study_design_scores_gemma":[0.00086653966,0.00040798658,0.72913206,0.00017013437,0.0000041248754,4.558452e-7,0.00083894946,0.2631931,0.00030825427,0.0021730326,0.002619685,0.00028567793],"about_ca_topic_score_codex":0.0073461765,"about_ca_topic_score_gemma":0.000046098758,"teacher_disagreement_score":0.22498547,"about_ca_system_score_codex":0.00030560582,"about_ca_system_score_gemma":0.000021912576,"threshold_uncertainty_score":0.999264},"labels":[],"label_agreement":null},{"id":"W4249678382","doi":"10.1177/0361198106197100116","title":"Benefits of Campus Transit Pass","year":2006,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Contingent valuation; Willingness to pay; Public transport; Valuation (finance); Population; Opposition (politics); Business; Actuarial science; Economics; Transport engineering; Finance; Engineering; Geography; Medicine; Political science; Environmental health","score_opus":0.15420990571386353,"score_gpt":0.3095146822109804,"score_spread":0.15530477649711685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249678382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99321383,0.0010262765,0.0015032577,0.0018482048,0.00040218155,0.00054149865,0.00023505716,0.000010175422,0.0012195272],"genre_scores_gemma":[0.99689454,0.0008882038,0.0010013444,0.00002522784,0.00017046212,0.000030479643,0.000030809697,0.000041733274,0.0009171733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959369,0.00025727256,0.0020839216,0.00036381092,0.0007671328,0.00059101166],"domain_scores_gemma":[0.99758345,0.00036411305,0.0008875139,0.00039313486,0.000609609,0.00016217395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004116828,0.00018619541,0.000538866,0.0008307802,0.00030406492,0.000056106954,0.0007304295,0.0001792538,0.0007557148],"category_scores_gemma":[0.000057160836,0.00016924889,0.00042601032,0.0009725454,0.0004944504,0.00057133124,0.0000049867426,0.000988607,0.00008522793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028126617,0.00029470067,0.9033941,0.00012420812,0.000091283524,0.0000072245116,0.0009038766,0.010330683,0.00071467826,0.079535626,0.0027265174,0.0015958236],"study_design_scores_gemma":[0.0012549623,0.00029443754,0.9625642,0.00009979228,0.000018192159,3.1885665e-7,0.000447421,0.000089828914,0.0013376864,0.028404165,0.0053375564,0.00015145715],"about_ca_topic_score_codex":0.01710416,"about_ca_topic_score_gemma":0.018694298,"teacher_disagreement_score":0.059170067,"about_ca_system_score_codex":0.00025727146,"about_ca_system_score_gemma":0.00012395263,"threshold_uncertainty_score":0.99921197},"labels":[],"label_agreement":null},{"id":"W4249757114","doi":"10.1177/0361198105192600105","title":"Mixed Logit Model of Activity-Scheduling Time Horizon Incorporating Spatial–Temporal Flexibility Variables","year":2005,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Time horizon; TRIPS architecture; Scheduling (production processes); Interdependence; Econometrics; Computer science; Schedule; Travel behavior; Operations research; Flexibility (engineering); Discrete choice; Mixed logit; Logit; Logistic regression; Variety (cybernetics); Economics; Operations management; Statistics; Mathematical optimization; Mathematics; Artificial intelligence; Machine learning; Microeconomics","score_opus":0.26738340636319047,"score_gpt":0.3317180161183925,"score_spread":0.06433460975520205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249757114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96081865,0.00016468756,0.035843085,0.0016549493,0.00020070939,0.0006111383,0.00019902489,0.000015289557,0.00049245683],"genre_scores_gemma":[0.98390424,0.00024852162,0.015042917,0.000019314277,0.00016716929,0.000031929925,0.000030465782,0.0000450192,0.0005104041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956824,0.0004226989,0.002063222,0.00047809508,0.0007773023,0.0005762632],"domain_scores_gemma":[0.9968684,0.00046014303,0.0013465238,0.0004751382,0.00061927445,0.00023054854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008304491,0.0002247754,0.00065433164,0.00070710556,0.00037930234,0.000074380725,0.0007405319,0.00021942715,0.0005725122],"category_scores_gemma":[0.00020576714,0.00021193283,0.00037929966,0.0007255139,0.0004926274,0.0010468329,0.000014010796,0.0012987024,0.000097810975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001078169,0.0007473973,0.6824497,0.0002689249,0.0002282345,0.0000066150265,0.0018007916,0.26596588,0.013105991,0.018333368,0.000649278,0.015365664],"study_design_scores_gemma":[0.0019990422,0.0007443058,0.8096685,0.00018176607,0.00003504473,2.822706e-7,0.00050311297,0.13868578,0.007619444,0.039458007,0.0007656897,0.00033902848],"about_ca_topic_score_codex":0.008424249,"about_ca_topic_score_gemma":0.010269551,"teacher_disagreement_score":0.12728012,"about_ca_system_score_codex":0.0004828756,"about_ca_system_score_gemma":0.00029629876,"threshold_uncertainty_score":0.9981787},"labels":[],"label_agreement":null},{"id":"W4250319946","doi":"10.4095/301155","title":"Energy-reliant Communities, 2001","year":2010,"lang":"en","type":"report","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Geography; Mathematics; Statistics","score_opus":0.21652623604985416,"score_gpt":0.23974313925898474,"score_spread":0.023216903209130585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250319946","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006741235,0.0029127824,0.001395535,0.0002186907,0.0028737064,0.00011865312,0.00048501758,0.000060331742,0.985194],"genre_scores_gemma":[0.4272663,0.042773698,0.001573191,0.001134458,0.0012354945,0.00012077275,0.0025285732,0.00018293154,0.5231846],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836814,0.000010922829,0.00089022575,0.0003358843,0.000062611194,0.0003322112],"domain_scores_gemma":[0.9984313,0.00003799195,0.00064090046,0.00076080754,0.00002195948,0.000107042084],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001011966,0.00027969875,0.0006229345,0.0002386568,0.00012081453,0.00006792951,0.00036584347,0.0006003629,0.031538535],"category_scores_gemma":[0.000023876735,0.0003297066,0.00020877333,0.000055720102,0.00009622465,0.00013897648,0.00015700716,0.000515657,0.0038267097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004084376,0.0001995054,0.13742647,0.000073149524,0.00022929876,0.000004601206,0.00014424065,0.000029256107,0.0000048164375,0.06461507,0.78986377,0.0074057425],"study_design_scores_gemma":[0.00017472662,0.00002702132,0.01352687,0.00001746636,0.000010989407,0.000014613612,0.000060075537,0.00049620005,0.000011447531,0.006931523,0.97830003,0.00042903822],"about_ca_topic_score_codex":0.028889908,"about_ca_topic_score_gemma":0.0039807963,"teacher_disagreement_score":0.46200946,"about_ca_system_score_codex":0.0005304267,"about_ca_system_score_gemma":0.00011760814,"threshold_uncertainty_score":0.9999155},"labels":[],"label_agreement":null},{"id":"W4250877510","doi":"10.24124/2018/58881","title":"Mapping wilderness character in the Muskwa-Kechika Management Area","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of British Columbia; University of Northern British Columbia","keywords":"Wilderness; Recreation; Wilderness area; Geography; Naturalness; Character (mathematics); Environmental resource management; Wildlife; Resource (disambiguation); Ecology; Environmental science; Computer science; Mathematics","score_opus":0.0880901986707104,"score_gpt":0.21600641771124718,"score_spread":0.1279162190405368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250877510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61246496,0.00020812078,0.00023278334,0.0001920986,0.000730174,0.0004391846,0.00002240358,0.000015480111,0.3856948],"genre_scores_gemma":[0.9443888,0.00069680484,0.0004115809,0.00078619906,0.00019713827,0.00020624408,0.0013227479,0.0000419495,0.05194853],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985818,0.000013622606,0.0006439092,0.00048058562,0.000041862095,0.00023821459],"domain_scores_gemma":[0.9991998,0.000015952395,0.0003705532,0.0003854154,0.0000042384727,0.000024035493],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006189925,0.00022124161,0.0003184662,0.00028727963,0.000082057064,0.00008517341,0.0003617256,0.00018138708,0.0028876816],"category_scores_gemma":[0.0000060743764,0.00020829517,0.00010858869,0.00012458615,0.000029055787,0.00017772792,0.000029979163,0.00017845033,0.0032333422],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001080913,0.0010597096,0.38937202,0.0010275013,0.00072403724,0.000042211315,0.037311263,0.00006948004,0.000023949842,0.48635933,0.032396458,0.051505957],"study_design_scores_gemma":[0.0003462071,0.000018858547,0.91542804,0.000060619484,0.000008054311,0.0000012001011,0.004228703,0.00035458017,0.000012648496,0.014473882,0.06472076,0.00034643494],"about_ca_topic_score_codex":0.00012187066,"about_ca_topic_score_gemma":0.00023366761,"teacher_disagreement_score":0.52605605,"about_ca_system_score_codex":0.00016555167,"about_ca_system_score_gemma":0.0000044312674,"threshold_uncertainty_score":0.9980238},"labels":[],"label_agreement":null},{"id":"W4251126243","doi":"10.1007/978-94-007-1359-8_57","title":"Mixed Deterministic-Statistical Modelling of Regional Ozone Air Pollution","year":2011,"lang":"en","type":"book-chapter","venue":"NATO science for peace and security series. C, Environmental security","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Advection; Air pollution; Environmental science; Statistical model; Pollution; Pollutant; Ozone; Meteorology; Bayesian probability; Econometrics; Geography; Statistics; Mathematics","score_opus":0.09938844052984616,"score_gpt":0.21330748044490763,"score_spread":0.11391903991506147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251126243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75455374,0.01519121,0.026381468,0.0009225584,0.0018925744,0.0040947157,0.021231929,0.00013856274,0.17559327],"genre_scores_gemma":[0.9899444,0.0034949381,0.0012827703,0.00014398815,0.000089360845,0.00003106979,0.0003419366,0.000050866554,0.0046206755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997284,0.000011277192,0.0009460354,0.0011003601,0.0001971954,0.0004611273],"domain_scores_gemma":[0.9985088,0.000049280818,0.00075082417,0.00042586192,0.000012943998,0.00025230536],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00092363864,0.00043171973,0.0007316736,0.00023995282,0.00040166618,0.000040354076,0.00037402636,0.00039228445,0.00073017395],"category_scores_gemma":[0.000026790254,0.000539721,0.00019526093,0.000043128162,0.0021398005,0.00066850934,0.00024794153,0.00033346724,0.00011851925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001379009,0.00018541969,0.0015124638,0.00015137224,0.000057528607,0.0000033521324,0.002049618,0.00013868054,0.000045659952,0.9947325,0.00046238027,0.0005231063],"study_design_scores_gemma":[0.0012033776,0.000768305,0.0052988664,0.00008283458,0.00009489897,0.00004949081,0.00039496346,0.011729765,0.00033351366,0.88620824,0.09253326,0.0013024759],"about_ca_topic_score_codex":0.000106175394,"about_ca_topic_score_gemma":0.000038530263,"teacher_disagreement_score":0.23539068,"about_ca_system_score_codex":0.00044754337,"about_ca_system_score_gemma":0.00004838959,"threshold_uncertainty_score":0.99970543},"labels":[],"label_agreement":null},{"id":"W4251484539","doi":"10.1007/978-94-007-0753-5_100054","title":"Additive Conjoint Measurement","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Conjoint analysis; Psychology; Materials science; Mathematics; Statistics; Preference","score_opus":0.17547486771720436,"score_gpt":0.18574975574183916,"score_spread":0.010274888024634804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251484539","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003615364,0.0007865864,0.00591823,0.00018080608,0.00039076025,0.00023272046,0.00019461945,0.000035651643,0.99222445],"genre_scores_gemma":[0.06314261,0.0005535039,0.0003082755,0.0008516221,0.000273116,0.000022843036,0.0001377106,0.0000700773,0.9346402],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864906,0.0000032231435,0.00063764065,0.0004887191,0.000052792344,0.0001685747],"domain_scores_gemma":[0.9990798,0.000016492422,0.00047627452,0.00033319084,0.000016392438,0.000077823046],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005642255,0.0002526034,0.00049832684,0.00011929613,0.00005221174,0.000029048066,0.00013212502,0.00023382051,0.046330225],"category_scores_gemma":[0.000019533432,0.0003047546,0.00019417894,0.000005364169,0.00006793188,0.00005465493,0.000060784805,0.00016552112,0.036952615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021810745,0.0000066592306,0.00018148794,0.000008308266,0.00008715703,5.2620777e-7,0.000017965136,0.00000865785,6.845551e-7,0.9713946,0.025743505,0.0025482527],"study_design_scores_gemma":[0.00026033798,0.000053712363,0.0015526614,0.000026885426,0.000012294217,0.0000013613826,0.0000047689973,0.00012517175,0.00001538684,0.15614054,0.8414325,0.0003743743],"about_ca_topic_score_codex":0.000032705728,"about_ca_topic_score_gemma":0.000018860273,"teacher_disagreement_score":0.815689,"about_ca_system_score_codex":0.00056421856,"about_ca_system_score_gemma":0.000011874711,"threshold_uncertainty_score":0.99994045},"labels":[],"label_agreement":null},{"id":"W4251948674","doi":"10.4337/9781847200235.00003","title":"List of figures","year":2006,"lang":"en","type":"paratext","venue":"Edward Elgar Publishing eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"History","score_opus":0.06594417373641864,"score_gpt":0.21577232857242115,"score_spread":0.1498281548360025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251948674","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012153137,0.0032532103,0.00046210072,0.00019702673,0.0033845922,0.00026775288,0.0012545036,0.000033198343,0.9789945],"genre_scores_gemma":[0.20293254,0.00015256941,0.0006156552,0.00036641618,0.0013301264,0.000055103857,0.0017705306,0.00012296799,0.7926541],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997631,0.000028840246,0.0012112331,0.0006566222,0.00008473277,0.00038756142],"domain_scores_gemma":[0.99792093,0.00006855417,0.0012886821,0.00060494815,0.000026890599,0.00008999246],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008217534,0.0003437357,0.0008358265,0.00038989217,0.00010368455,0.0005664654,0.0006505534,0.0006107978,0.0061540846],"category_scores_gemma":[0.000114706505,0.0004305388,0.0003091483,0.00006175719,0.00013283962,0.0005877383,0.00018455711,0.00053662364,0.0065365974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005515277,0.000039632952,0.0032782222,0.00015327823,0.00008567343,8.9020244e-7,0.00015445997,0.00016463568,0.000012736921,0.015090151,0.9801072,0.0009076007],"study_design_scores_gemma":[0.0003998185,0.00004272898,0.005488126,0.00009061926,0.000014618722,0.0000018808889,0.000024146597,0.00008180931,0.00020086093,0.0062624593,0.9869053,0.00048765144],"about_ca_topic_score_codex":0.0027764,"about_ca_topic_score_gemma":0.000093648516,"teacher_disagreement_score":0.1907794,"about_ca_system_score_codex":0.0003096376,"about_ca_system_score_gemma":0.000057942532,"threshold_uncertainty_score":0.9998146},"labels":[],"label_agreement":null},{"id":"W4252666901","doi":"10.31224/osf.io/n9kx7","title":"Effects of Market Concentration and Competition in the Paving Sector","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Competition (biology); Market share; Market concentration; Quartile; Agency (philosophy); Industrial organization; Business; Market saturation; Relevant market; Value (mathematics); Market structure; Market share analysis; Economics; Microeconomics; Finance; Computer science; Market microstructure; Order (exchange)","score_opus":0.05545641318840847,"score_gpt":0.19791522250263557,"score_spread":0.1424588093142271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252666901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97679514,0.0008510516,0.0025753614,0.00063665473,0.00017241461,0.00046624822,0.00003532427,0.0000070434294,0.018460754],"genre_scores_gemma":[0.99866253,0.00061840174,0.0002716867,0.0002724666,0.000043398955,0.00003297087,0.00004352114,0.000007036439,0.000047984147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992849,0.000033533688,0.00035707856,0.00023530758,0.000017524044,0.0000716079],"domain_scores_gemma":[0.9995212,0.00010437457,0.00024951025,0.000106449974,0.000002052356,0.000016393054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003420368,0.000089651825,0.00023090241,0.000025168845,0.000017633287,0.000028884679,0.00008964128,0.00008895108,0.00030145762],"category_scores_gemma":[0.000033516597,0.000088550405,0.000039892057,0.000028258191,0.00003467574,0.000062410254,0.00008120171,0.00013968066,0.000024477971],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021959791,0.0001182106,0.6803102,0.0010057696,0.000055550627,0.0000023807652,0.0029126883,0.00037235685,0.00029843728,0.3135428,0.000614875,0.0007448009],"study_design_scores_gemma":[0.0003614587,0.000028201897,0.9466267,0.000045172088,0.000006799866,4.9136014e-7,0.00009807324,0.00922612,0.00019797747,0.04305593,0.00023811433,0.00011496743],"about_ca_topic_score_codex":0.00017754361,"about_ca_topic_score_gemma":0.000018732038,"teacher_disagreement_score":0.27048686,"about_ca_system_score_codex":0.00006215414,"about_ca_system_score_gemma":0.0000053907106,"threshold_uncertainty_score":0.36109805},"labels":[],"label_agreement":null},{"id":"W4252834501","doi":"10.26686/wgtn.17135945","title":"Perception of tools for assessing on-farm nutrient losses and mitigation options","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Greater Wellington Regional Council; University of Victoria; Callaghan Innovation","keywords":"Sustainability; Stakeholder; Environmental planning; Business; Water quality; Agriculture; Environmental resource management; Quality (philosophy); Perception; Incentive; Environmental economics; Environmental science; Political science; Geography; Psychology; Economics; Public relations; Ecology","score_opus":0.09824443526047606,"score_gpt":0.2780149967945374,"score_spread":0.17977056153406135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252834501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97121495,0.00023530156,0.0043130587,0.000055167537,0.00047095236,0.0004918278,0.0001968449,0.000014580738,0.023007318],"genre_scores_gemma":[0.9860352,0.0006427564,0.005860172,0.00006394952,0.00016212692,0.00012147212,0.0027247188,0.000032727454,0.004356857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99889416,0.000006907136,0.00057917,0.00036915744,0.000028780723,0.00012185754],"domain_scores_gemma":[0.9991569,0.00007566645,0.0005442599,0.00015806271,0.000029363866,0.00003574622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029861627,0.00015549858,0.00031260744,0.00018189166,0.00011702001,0.0001104119,0.00006523254,0.0002029243,0.00040216141],"category_scores_gemma":[0.000079388425,0.00018581517,0.000103003746,0.000044963017,0.000045872766,0.0002681085,0.000008866069,0.00006550195,0.00010786688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016906137,0.0006047732,0.045793638,0.0010160138,0.00025683193,2.0610777e-7,0.0031000555,0.0001851056,0.0020272047,0.85719085,0.0014546413,0.0882016],"study_design_scores_gemma":[0.0015255223,0.00051392853,0.8920696,0.0002758712,0.00008500375,0.0000014301484,0.009490439,0.004313272,0.0024646902,0.0806808,0.007803511,0.00077593926],"about_ca_topic_score_codex":0.00004383112,"about_ca_topic_score_gemma":0.000036663077,"teacher_disagreement_score":0.846276,"about_ca_system_score_codex":0.00014835819,"about_ca_system_score_gemma":0.000014765823,"threshold_uncertainty_score":0.7577323},"labels":[],"label_agreement":null},{"id":"W4253637211","doi":"10.24124/2015/bpgub1074","title":"Perceptions of access to industrial forest land by Port Alberni recreational stakeholders.","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Northern British Columbia","keywords":"Recreation; Restructuring; Business; Negotiation; Forestry; Land tenure; Port (circuit theory); Land use; Deforestation (computer science); Land management; Environmental resource management; Environmental planning; Geography; Finance; Political science; Economics; Engineering; Agriculture","score_opus":0.3493200579886686,"score_gpt":0.29577095335875414,"score_spread":0.05354910462991447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253637211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8262899,0.00019158961,0.00022162453,0.00015210547,0.00056496385,0.0004113122,0.0011124286,0.000013417897,0.17104265],"genre_scores_gemma":[0.9038629,0.00028904463,0.00023222533,0.00019952514,0.00026336405,0.00011094629,0.019849937,0.00005419784,0.07513789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985683,0.000009579309,0.0007793903,0.0004022883,0.000072255796,0.00016819556],"domain_scores_gemma":[0.99906534,0.000025507281,0.0005125626,0.0002281212,0.000036030695,0.00013243094],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00037840527,0.00019189305,0.00042834302,0.00023578039,0.000053159885,0.00006384194,0.00025385866,0.00032593778,0.00762067],"category_scores_gemma":[0.000066522836,0.00023402015,0.00010644725,0.000106095424,0.000021995349,0.00031289965,0.00003490919,0.00015345773,0.0008223973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053211996,0.00012039714,0.8459048,0.00004681197,0.00008418018,2.0606993e-7,0.00045334428,0.00031611024,0.000021861475,0.0029410333,0.14873105,0.0013269881],"study_design_scores_gemma":[0.0013062963,0.00017409511,0.92647105,0.00011817949,0.000037766607,0.0000010809906,0.0013866678,0.00025190087,0.00006129547,0.007900808,0.061633922,0.0006569394],"about_ca_topic_score_codex":0.002298408,"about_ca_topic_score_gemma":0.0017206162,"teacher_disagreement_score":0.09590477,"about_ca_system_score_codex":0.0002798149,"about_ca_system_score_gemma":0.00007405181,"threshold_uncertainty_score":0.9999556},"labels":[],"label_agreement":null},{"id":"W4253948450","doi":"10.2139/ssrn.783424","title":"Braess Paradox in the Laboratory: An Experimental Study of Route Choice in Traffic Networks with Asymmetric Costs","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Operations research; Transport engineering; Psychology; Engineering","score_opus":0.027689827696203963,"score_gpt":0.23143589003302484,"score_spread":0.20374606233682088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253948450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419695,0.004928957,0.00016181523,0.000107183776,0.00004839748,0.00028479658,0.0000034783905,0.0000043133427,0.00026409788],"genre_scores_gemma":[0.9992366,0.00046474327,0.000026449932,0.00008936156,0.000112367474,0.000022876136,0.0000046275427,0.000018310044,0.000024708877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983178,0.00009282091,0.0005407153,0.00023754138,0.00005964793,0.00075147883],"domain_scores_gemma":[0.9994058,0.000041238167,0.00032256707,0.0001873214,0.0000058629826,0.00003721978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021659557,0.00013277751,0.0002673111,0.00026938005,0.00009675241,0.00003497044,0.00029292834,0.000057156136,0.00002372999],"category_scores_gemma":[0.000010727669,0.00011694853,0.000032746426,0.00044346103,0.000029148225,0.00045880442,0.00002012944,0.0007515347,0.000013149056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059121976,0.0019512182,0.9028335,9.848143e-7,0.0000422331,0.0000018135329,0.0024217179,0.079811715,0.0000027187373,0.009017072,0.0000055471887,0.003852367],"study_design_scores_gemma":[0.006062788,0.0030706485,0.95160085,0.000012919802,0.000012790679,0.000036054782,0.01842306,0.019403031,0.000017454273,0.0006748932,0.0003359381,0.00034956168],"about_ca_topic_score_codex":0.00036918084,"about_ca_topic_score_gemma":0.012326429,"teacher_disagreement_score":0.06040868,"about_ca_system_score_codex":0.001574186,"about_ca_system_score_gemma":0.00009363962,"threshold_uncertainty_score":0.6878436},"labels":[],"label_agreement":null},{"id":"W4256315375","doi":"10.17771/pucrio.acad.33616","title":"O EFEITO DECOY NAS DECISÕES DE CONSUMO","year":2017,"lang":"pt","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Workers Compensation Board of British Columbia","funders":"","keywords":"Decoy; Product (mathematics); Advertising; Marketing; Business; Psychology; Mathematics; Medicine","score_opus":0.11386647082823996,"score_gpt":0.27041007015613877,"score_spread":0.1565435993278988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256315375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7568891,0.0035414083,0.0015911709,0.00027505605,0.002922086,0.00054571964,0.00032220356,0.000043829074,0.23386942],"genre_scores_gemma":[0.78491765,0.0040480425,0.0007409891,0.00028217313,0.00022215761,0.00008923581,0.0011605393,0.00010011235,0.2084391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967395,0.000032956905,0.0013780851,0.0010920657,0.00006716157,0.00069023564],"domain_scores_gemma":[0.9967708,0.0001442605,0.0017215195,0.001059972,0.000026649179,0.000276794],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000998557,0.0005823782,0.0010415433,0.000336068,0.0007467096,0.0004454426,0.000783369,0.0008424001,0.014788647],"category_scores_gemma":[0.00027262693,0.0007807319,0.00044663003,0.00005376297,0.0001543994,0.000521224,0.00007675353,0.00042714286,0.017871577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009187147,0.0003141114,0.9203869,0.00024051181,0.0005482969,0.000013787539,0.0019948292,0.00026325358,0.00007357452,0.044423,0.011007603,0.020642264],"study_design_scores_gemma":[0.0016863667,0.00014813032,0.91327983,0.0001674663,0.00012872186,0.000014637244,0.0018303504,0.00603699,0.0009351158,0.014816246,0.059341326,0.0016148211],"about_ca_topic_score_codex":0.0012552259,"about_ca_topic_score_gemma":0.000821274,"teacher_disagreement_score":0.048333723,"about_ca_system_score_codex":0.0007408734,"about_ca_system_score_gemma":0.0001337674,"threshold_uncertainty_score":0.99946433},"labels":[],"label_agreement":null},{"id":"W4256611602","doi":"10.7287/peerj.preprints.1033","title":"Efficient routes to land conservation given risk of covenant failure","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Covenant; Business; Enforcement; Investment (military); Natural resource economics; Biodiversity; Environmental resource management; Biodiversity conservation; Environmental planning; Economics; Geography; Ecology; Law","score_opus":0.07775769335639184,"score_gpt":0.21791069298578727,"score_spread":0.14015299962939542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256611602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730526,0.00033548623,0.015670514,0.001291532,0.00037475716,0.0004938763,0.0010032817,0.000022342558,0.007755574],"genre_scores_gemma":[0.99497604,0.000077239325,0.0035980525,0.00017341696,0.00006237462,0.00004224133,0.00016536612,0.000021426946,0.0008838322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862164,0.000021263115,0.00071152573,0.00044595185,0.000040169383,0.00015942381],"domain_scores_gemma":[0.9987305,0.00003984221,0.00070158235,0.00040459976,0.000028354447,0.000095149946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000893053,0.00017743494,0.0004885894,0.00016050473,0.000033056018,0.00003327247,0.00019605187,0.00019502903,0.00046651464],"category_scores_gemma":[0.000120692646,0.00019086608,0.00011768599,0.000057327692,0.000036259586,0.0000319889,0.00032099226,0.00017114214,0.0009864066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014230226,0.00008148483,0.7821258,0.000047863243,0.00008825276,2.5849877e-7,0.00051662955,0.20083836,0.00000728283,0.008450927,0.0076760445,0.00015288952],"study_design_scores_gemma":[0.001080368,0.00016139666,0.7639757,0.000087654626,0.000052649055,0.0000011484728,0.00025548722,0.17319657,0.00022150028,0.040861793,0.019396285,0.00070947094],"about_ca_topic_score_codex":0.0026310305,"about_ca_topic_score_gemma":0.00017034182,"teacher_disagreement_score":0.032410868,"about_ca_system_score_codex":0.00027364082,"about_ca_system_score_gemma":0.00003302415,"threshold_uncertainty_score":0.99979144},"labels":[],"label_agreement":null},{"id":"W4280493852","doi":"10.3390/su14105961","title":"Investigation of Whether People Are Willing to Pay a Premium for Living in Food Swamps: A Study of Edmonton, Canada","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Willingness to pay; Swamp; Preference; Consumption (sociology); Environmental health; Food choice; Revealed preference; Food prices; Healthy food; Business; Public economics; Economics; Marketing; Geography; Agriculture; Medicine; Food security; Food science","score_opus":0.04516378928363336,"score_gpt":0.20869468154814474,"score_spread":0.1635308922645114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280493852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754596,0.000063726606,0.00044707258,0.00045562533,0.0000764859,0.0012834008,0.00008950846,0.0000035986718,0.000034597142],"genre_scores_gemma":[0.99933755,9.619451e-7,0.00007844212,0.00004339182,0.000009879178,0.00039799858,0.0000054662855,0.000010611304,0.00011569757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988963,0.000052623956,0.000575308,0.0002800218,0.000042139825,0.00015361587],"domain_scores_gemma":[0.9992286,0.000118878765,0.00034188025,0.00023324256,0.000041464093,0.000035959954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012289427,0.00007504632,0.00028017984,0.000099119185,0.00006613747,0.0000059833537,0.000117939555,0.000020896703,0.00006030754],"category_scores_gemma":[0.00048226694,0.000089970985,0.00003658956,0.0001850351,0.000013027442,0.00011518169,0.000106921674,0.00007013772,1.9319019e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018236975,0.00013350674,0.9689281,0.000108982145,0.000011860666,7.21981e-8,0.009436169,0.02056321,0.0000051111942,0.00067789905,0.000041627893,0.00007525385],"study_design_scores_gemma":[0.00034274455,0.00036212784,0.9610193,0.000005310269,0.000002957037,7.440297e-8,0.025788978,0.0012753722,0.00003109719,0.0109071955,0.00017098119,0.000093895556],"about_ca_topic_score_codex":0.2755667,"about_ca_topic_score_gemma":0.51268154,"teacher_disagreement_score":0.23711483,"about_ca_system_score_codex":0.0025293645,"about_ca_system_score_gemma":0.0001719864,"threshold_uncertainty_score":0.72925735},"labels":[],"label_agreement":null},{"id":"W4280569543","doi":"10.24124/2022/59289","title":"Protected area selection for efficient and equitable biodiversity conservation in British Columbia","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Equity (law); Scope (computer science); Environmental resource management; Scale (ratio); Biodiversity conservation; Geography; Environmental planning; Business; Selection (genetic algorithm); Environmental science; Computer science; Ecology; Political science; Cartography; Biology","score_opus":0.054364453285535554,"score_gpt":0.20074980384752467,"score_spread":0.14638535056198912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280569543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946081,0.00035360135,0.00036140272,0.000045329543,0.00027655213,0.0012378067,0.0004173134,0.000026186246,0.0026736907],"genre_scores_gemma":[0.9685632,0.00019800372,0.0006126299,0.00014296734,0.000021462387,0.0006560012,0.004903585,0.000024555013,0.024877619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989208,0.000010865301,0.0004037093,0.0004434798,0.000026369531,0.00019476666],"domain_scores_gemma":[0.9995524,0.00002117646,0.0003108309,0.000073224386,0.000013302474,0.000029030956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045572364,0.00009141053,0.00027298406,0.00011695594,0.00027351824,0.00016480706,0.000064997796,0.00015224691,0.003346386],"category_scores_gemma":[0.000047576727,0.00020154816,0.000051647792,0.00012797408,0.000014961299,0.00011097161,0.000029076613,0.00012880287,0.000027363518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039089446,0.00015589655,0.98951,0.00017077797,0.00003062685,4.7938744e-7,0.00031801898,0.0009766069,0.000037853562,0.00056678214,0.0069711837,0.0012227069],"study_design_scores_gemma":[0.0011882137,0.00012378363,0.96756023,0.000021490618,0.000014192147,0.0000022559957,0.0010445587,0.021279,0.000015643289,0.0024313838,0.0059726797,0.0003465421],"about_ca_topic_score_codex":0.06575108,"about_ca_topic_score_gemma":0.20171994,"teacher_disagreement_score":0.13596886,"about_ca_system_score_codex":0.00046881242,"about_ca_system_score_gemma":0.000023018905,"threshold_uncertainty_score":0.9975647},"labels":[],"label_agreement":null},{"id":"W4280575899","doi":"10.1371/journal.pone.0268425","title":"The economic value of the Brazilian Amazon rainforest ecosystem services: A meta-analysis of the Brazilian literature","year":2022,"lang":"en","type":"review","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"World Bank Group","keywords":"Amazon rainforest; Ecosystem services; Valuation (finance); Recreation; Geography; Ecosystem; Rainforest; Biodiversity; Environmental resource management; Ecology; Environmental science; Economics; Biology; Accounting","score_opus":0.1675244460817403,"score_gpt":0.2448657450439762,"score_spread":0.0773412989622359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280575899","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006020014,0.98245424,0.0000013904231,0.00023659285,0.00028608608,0.0014408012,0.0055539636,0.000010986668,0.0039959536],"genre_scores_gemma":[0.013476565,0.9828348,0.000034599634,0.00015051478,0.00008696194,0.00037424613,0.00031447943,0.000071724986,0.0026560756],"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964188,0.00028699802,0.0022362606,0.0006165383,0.00014188548,0.0002995656],"domain_scores_gemma":[0.99367976,0.00042332706,0.0037446534,0.0020807297,0.000014489751,0.00005705887],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017465826,0.00044812274,0.0035990607,0.00027705316,0.0003805466,0.000118615775,0.0019720208,0.00025604127,0.00203524],"category_scores_gemma":[0.00005116,0.00026485862,0.004250827,0.00076803914,0.00012332757,0.000174055,0.000558126,0.0005022796,0.0001622671],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031837604,0.0011740106,0.023166705,0.03546299,0.8023606,0.0000013800324,0.003453717,0.008343655,0.0000015222023,0.110380895,0.00054358016,0.015079105],"study_design_scores_gemma":[0.00028697305,0.00006236393,0.0044676717,0.0009496432,0.16927558,0.0000027039762,0.00014646437,0.004846884,0.000008787756,0.0015088504,0.8177751,0.0006690273],"about_ca_topic_score_codex":0.00024114037,"about_ca_topic_score_gemma":0.0009335944,"teacher_disagreement_score":0.8172315,"about_ca_system_score_codex":0.00069022225,"about_ca_system_score_gemma":0.00009674683,"threshold_uncertainty_score":0.9999804},"labels":[],"label_agreement":null},{"id":"W4280621655","doi":"10.4000/etudescaribeennes.23933","title":"Using contingent valuation for a conservation and restoration program: The case of the national system of protected areas of the Dominican Republic","year":2022,"lang":"en","type":"article","venue":"Études caribéennes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Willingness to pay; Protected area; Geography; Environmental protection; Quarter (Canadian coin); Nature Conservation; Valuation (finance); Socioeconomics; Environmental resource management; Business; Economics; Ecology; Archaeology","score_opus":0.2060595289846795,"score_gpt":0.2750136454990473,"score_spread":0.06895411651436778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280621655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997303,0.00013138675,0.00022171068,0.00043388893,0.00012355788,0.0014914402,0.00018393,0.0000051841866,0.00010587533],"genre_scores_gemma":[0.99918383,0.0000024923474,0.0004149201,0.000031440763,0.000018650311,0.0003102476,0.000015986097,0.000006983738,0.000015435262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991624,0.000083410494,0.00051267876,0.000121834346,0.000058672937,0.000061025847],"domain_scores_gemma":[0.99864346,0.00010249993,0.0010282411,0.00015692221,0.000060759143,0.000008114644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013830455,0.000057556477,0.00015049135,0.000044366472,0.00023697989,0.000012816748,0.00011158786,0.000027131084,0.0000067429332],"category_scores_gemma":[0.00020884658,0.000041583466,0.00007615505,0.00015403797,0.000105655636,0.0000832784,0.000086642794,0.00004937813,6.8339645e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099723846,0.0002266143,0.22987278,0.0003225402,0.00019587557,1.6789205e-7,0.0034419224,0.010203103,0.0027264466,0.75074863,0.00009693646,0.0020652323],"study_design_scores_gemma":[0.001202117,0.00018719253,0.74628544,0.000048364043,0.00007843985,0.000053063242,0.0056099566,0.23833324,0.001243962,0.0062130145,0.0006117696,0.00013344992],"about_ca_topic_score_codex":0.00064650725,"about_ca_topic_score_gemma":0.00017368412,"teacher_disagreement_score":0.7445356,"about_ca_system_score_codex":0.00018767384,"about_ca_system_score_gemma":0.0000461936,"threshold_uncertainty_score":0.18226816},"labels":[],"label_agreement":null},{"id":"W4280633481","doi":"10.1287/trsc.2022.1145","title":"Undiscounted Recursive Path Choice Models: Convergence Properties and Algorithms","year":2022,"lang":"en","type":"article","venue":"Transportation Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Markov decision process; Mathematical optimization; Operator (biology); Path (computing); Convergence (economics); Bellman equation; Computer science; Mathematics; Algorithm; Markov process","score_opus":0.18600313423915593,"score_gpt":0.2310748304403269,"score_spread":0.04507169620117096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280633481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902573,0.00060002774,0.006992543,0.00026025882,0.00024417715,0.00018598378,0.00014732413,0.000019963361,0.0012923878],"genre_scores_gemma":[0.99855477,0.00014355607,0.0006349803,0.00019868258,0.000011072191,0.00006342702,0.000026057849,0.000007234431,0.00036022192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905276,0.000008035032,0.0003014521,0.00038906597,0.00008472312,0.00016395068],"domain_scores_gemma":[0.9996273,0.000011957028,0.00016513835,0.00012577421,0.00001294993,0.00005689938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062642177,0.00007605795,0.000123007,0.00010849298,0.0004176878,0.000035421697,0.00017991682,0.0000144707965,0.0004356189],"category_scores_gemma":[0.000011531627,0.000089410925,0.000023272458,0.0002517754,0.00026089567,0.0008322227,0.000014814286,0.000076451885,0.00004159677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033257296,0.00017111267,0.5075143,0.000040190906,0.000024781091,0.0000035335,0.017694704,0.055005923,0.0013326549,0.415843,0.00017559259,0.0021609338],"study_design_scores_gemma":[0.00063160935,0.00012729998,0.8116568,0.000008417929,0.000007945878,0.0000031421841,0.0028174645,0.14556605,0.0003531644,0.036009487,0.002450801,0.00036786005],"about_ca_topic_score_codex":0.00042006394,"about_ca_topic_score_gemma":0.000025256222,"teacher_disagreement_score":0.37983352,"about_ca_system_score_codex":0.00014074404,"about_ca_system_score_gemma":0.0000314122,"threshold_uncertainty_score":0.47697213},"labels":[],"label_agreement":null},{"id":"W4281258151","doi":"10.1016/j.aap.2022.106705","title":"Economic valuation of preventing fatal and serious road injuries. Results of a Willingness-To-Pay study in four European countries","year":2022,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"Bundesanstalt für Straßenwesen","keywords":"Willingness to pay; Value of time; Socioeconomic status; Valuation (finance); Contingent valuation; Demographic economics; Crash; Value (mathematics); Total economic value; Economics; Actuarial science; Demography; Socioeconomics; Geography; Statistics; Medicine; Environmental health; Mathematics; Engineering; Travel time; Transport engineering; Sociology; Population; Finance","score_opus":0.04950315711065281,"score_gpt":0.25715365902632803,"score_spread":0.20765050191567522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281258151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99794686,0.00017420064,0.00083111395,0.00006910305,0.000087083274,0.0005254544,0.00002150004,0.0000075363823,0.00033713438],"genre_scores_gemma":[0.99927753,0.000065226195,0.00013896333,0.000011258988,0.000020292935,0.000050406008,0.00011089169,0.000014709929,0.00031074276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774414,0.00020076969,0.0014110785,0.00043096827,0.000080123675,0.000132942],"domain_scores_gemma":[0.99850214,0.00003470582,0.0011404097,0.00027823323,0.000012953632,0.000031540116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037488674,0.00012218198,0.0004735145,0.00058993034,0.00010060492,0.000031033847,0.00017588821,0.000023515053,0.0002557106],"category_scores_gemma":[0.000046766167,0.00015100843,0.00015615813,0.00036253728,0.000023882816,0.00034062238,0.00024169087,0.00008573247,0.000027458913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062444065,0.00013868122,0.96506447,0.0000039605097,0.00029456065,5.3866995e-7,0.0015561309,0.030653127,0.000024780795,0.00031578384,0.000007650375,0.0018778908],"study_design_scores_gemma":[0.0010875033,0.0002541115,0.99011993,0.000008869773,0.00019511694,4.7226138e-7,0.0008383558,0.005094742,0.000067025,0.002145269,0.000046580964,0.00014201648],"about_ca_topic_score_codex":0.0012478584,"about_ca_topic_score_gemma":0.0028128466,"teacher_disagreement_score":0.025558384,"about_ca_system_score_codex":0.00025322728,"about_ca_system_score_gemma":0.000016153714,"threshold_uncertainty_score":0.6157945},"labels":[],"label_agreement":null},{"id":"W4281484163","doi":"10.1007/s11136-022-03159-2","title":"Discrete choice experiment with duration versus time trade-off: a comparison of test–retest reliability of health utility elicitation approaches in SF-6Dv2 valuation","year":2022,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Impact","funders":"National Natural Science Foundation of China","keywords":"Time-trade-off; Intraclass correlation; Statistics; Reliability (semiconductor); Kappa; Psychology; Econometrics; Valuation (finance); Cohen's kappa; Demography; Mathematics; Medicine; Psychometrics; Quality of life (healthcare); Economics","score_opus":0.6238194675517855,"score_gpt":0.42458020126677104,"score_spread":0.19923926628501448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281484163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955737,0.0008202085,0.00040079054,0.0014161116,0.000034326757,0.0007973602,0.00021945484,0.000006517074,0.0007315538],"genre_scores_gemma":[0.9989416,0.00003309761,0.00066200685,0.000009457094,0.000012573795,0.000116170784,0.00019101326,0.000011544057,0.000022539432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99608004,0.00097353384,0.00192848,0.0004223224,0.00035732606,0.0002383233],"domain_scores_gemma":[0.9971321,0.0012104397,0.0011555024,0.00040285237,0.00003742235,0.00006163833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014984964,0.00010589267,0.00062248536,0.00024672694,0.00014605749,0.000009749851,0.00019610461,0.000054543256,0.0002511349],"category_scores_gemma":[0.0013585899,0.00012354962,0.00007208948,0.00040539197,0.00027283936,0.0002220991,0.000093762275,0.00025009067,0.000009330552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044941693,0.0011215091,0.9799388,0.0002445685,0.000024541947,1.804358e-8,0.006476579,0.005750562,0.00054539,0.0032820879,0.000051706185,0.0021148394],"study_design_scores_gemma":[0.001531158,0.0011737588,0.9300887,0.000015262898,0.0000023798834,4.8578652e-8,0.0049437964,0.059807807,0.0008326687,0.0014181829,0.00007942496,0.00010681802],"about_ca_topic_score_codex":0.002712844,"about_ca_topic_score_gemma":0.00017459033,"teacher_disagreement_score":0.054057244,"about_ca_system_score_codex":0.00063707173,"about_ca_system_score_gemma":0.00015100655,"threshold_uncertainty_score":0.51935196},"labels":[],"label_agreement":null},{"id":"W4282594029","doi":"10.1186/s12889-022-13539-5","title":"What public health interventions do people in Canada prefer to fund? A discrete choice experiment","year":2022,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; AIDS Vancouver; Community Based Research Centre; University of Victoria; Simon Fraser University","funders":"Michael Smith Health Research BC; Canadian Foundation for AIDS Research","keywords":"Psychological intervention; Biostatistics; Public health; Medicine; Gerontology; Focus group; Odds; Population; Health equity; Health communication; Population health; Environmental health; Psychology; Nursing; Marketing","score_opus":0.26891392151373206,"score_gpt":0.31484002900608504,"score_spread":0.045926107492352986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282594029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9078615,0.00627217,0.003667548,0.07734946,0.0017024941,0.0012332634,0.00040080084,0.000033194,0.0014795918],"genre_scores_gemma":[0.99105316,0.00034135283,0.00037461097,0.006298471,0.000058021342,0.0007474756,0.0002339021,0.000031501113,0.0008615195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700284,0.00020906949,0.0012257154,0.0006190352,0.00011073426,0.00083258597],"domain_scores_gemma":[0.99838006,0.000060069313,0.00047800137,0.00046753546,0.0000076262745,0.0006067013],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028592367,0.00016857954,0.0004954949,0.00037822622,0.0003819777,0.0002350778,0.0003609678,0.000026112579,0.0037025972],"category_scores_gemma":[0.00007865738,0.00022184498,0.00010942832,0.00047010288,0.000013657942,0.0007978787,0.00034308113,0.00022865631,0.00012654965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005119469,0.00037885242,0.9445915,0.00013687389,0.000025556657,4.0576288e-7,0.0057333126,0.0012147484,2.5197986e-7,0.028308857,0.011515226,0.008089285],"study_design_scores_gemma":[0.0006157409,0.00020515731,0.6967323,0.000020256814,4.5472248e-7,0.0000023869868,0.00977319,0.0013381174,1.9947588e-7,0.00026653497,0.29080892,0.00023674384],"about_ca_topic_score_codex":0.75176203,"about_ca_topic_score_gemma":0.91262394,"teacher_disagreement_score":0.2792937,"about_ca_system_score_codex":0.012815741,"about_ca_system_score_gemma":0.0021338966,"threshold_uncertainty_score":0.9972082},"labels":[],"label_agreement":null},{"id":"W4282832845","doi":"10.1016/j.jval.2022.05.003","title":"How Do Treatment Preferences of Patients With Cancer Compare With Those of Oncologists and Family Members? Evidence From a Discrete Choice Experiment in China","year":2022,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences","funders":"National Natural Science Foundation of China","keywords":"Medicine; Latent class model; Mixed logit; Family history; Quality of life (healthcare); Logistic regression; Preference; Lung cancer; Family member; Family medicine; Internal medicine","score_opus":0.17010140186982514,"score_gpt":0.29178897737570464,"score_spread":0.1216875755058795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282832845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905785,0.008097596,0.000016544695,0.00024362048,0.00004856752,0.0005355724,0.00037945778,0.0000026218902,0.000097523705],"genre_scores_gemma":[0.9974884,0.0017279816,0.00050355296,0.000022122174,0.000006278724,0.00019790336,0.000028153547,0.000008104101,0.00001753441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902385,0.000074217074,0.00039783702,0.00030607323,0.000056788795,0.00014121611],"domain_scores_gemma":[0.9992054,0.00008613228,0.0005111286,0.00015280703,0.0000038607195,0.000040678282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457598,0.00010692396,0.00039858083,0.00009321141,0.00004203451,0.000009846727,0.00008719557,0.000017081513,0.00007906975],"category_scores_gemma":[0.000008699887,0.00009242303,0.00001669581,0.00010345777,0.00006282706,0.00014657703,0.000047769834,0.00006688996,3.3641925e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012635106,0.00020623875,0.96561855,0.000036402314,0.0000175554,2.617489e-7,0.004905507,0.028014462,0.0000025688548,0.00019564436,0.000004242093,0.0008722235],"study_design_scores_gemma":[0.0014283578,0.0012236518,0.9929842,0.00014723898,0.000003164321,6.744889e-8,0.0012560965,0.002491537,0.000025592914,0.00024525824,0.0000985978,0.00009628417],"about_ca_topic_score_codex":0.11815249,"about_ca_topic_score_gemma":0.002847934,"teacher_disagreement_score":0.11530456,"about_ca_system_score_codex":0.000838636,"about_ca_system_score_gemma":0.00006289782,"threshold_uncertainty_score":0.8877198},"labels":[],"label_agreement":null},{"id":"W4283269232","doi":"10.1186/s40066-022-00377-2","title":"Can results-based prizes to private sector incentivize technology adoption by farmers? Evidence from the AgResults Nigeria project that uses prizes to incentivize adoption of AflasafeTM","year":2022,"lang":"en","type":"article","venue":"Agriculture & Food Security","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Foreign and Commonwealth Office; Carnegie Mellon University; Foreign, Commonwealth and Development Office; World Bank Group; Global Affairs Canada; Bill and Melinda Gates Foundation; United States Agency for International Development","keywords":"Incentive; Private sector; Business; Public economics; Selection bias; Marketing; Economics; Economic growth","score_opus":0.057016081107692275,"score_gpt":0.22128054278428647,"score_spread":0.1642644616765942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283269232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856361,0.0011366821,0.00041648763,0.005558846,0.00042023193,0.0017472575,0.00488473,0.00007910096,0.000120567805],"genre_scores_gemma":[0.9972013,0.0002440166,0.0006581508,0.0005711587,0.000087279346,0.00040545693,0.00074467674,0.000024244078,0.00006368708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997517,0.00015545987,0.00082890206,0.0009045136,0.0001864961,0.000407635],"domain_scores_gemma":[0.9982893,0.00019002619,0.00083581056,0.0005516378,0.000042431886,0.000090821966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00082425534,0.00032700915,0.0005010501,0.00017305349,0.00037549177,0.00007343529,0.0006467158,0.000174951,0.000094963325],"category_scores_gemma":[0.00021787598,0.00027777025,0.00015581811,0.0007864902,0.00009431365,0.0002952027,0.00042403993,0.0003628329,0.00006271742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025798106,0.0016380041,0.8888429,0.00013721423,0.00061895745,0.0000046019986,0.021588773,0.0036556819,0.043486338,0.00686316,0.028761232,0.0018233315],"study_design_scores_gemma":[0.0037918536,0.0032189495,0.830862,0.00030303295,0.00010758718,0.0000050153917,0.007174268,0.00026887955,0.04106445,0.0045872577,0.107016966,0.0015997555],"about_ca_topic_score_codex":0.00093692273,"about_ca_topic_score_gemma":0.0009318169,"teacher_disagreement_score":0.078255735,"about_ca_system_score_codex":0.0006732369,"about_ca_system_score_gemma":0.000043399752,"threshold_uncertainty_score":0.99996746},"labels":[],"label_agreement":null},{"id":"W4283363278","doi":"10.1016/j.ecoser.2022.101417","title":"A systematic literature review of non-market valuation of Indigenous peoples’ values: Current knowledge, best-practice and framing questions for future research","year":2022,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Framing (construction); Valuation (finance); Indigenous; Sociology; Positive economics; Social science; Economics; Geography; Ecology; Accounting; Biology","score_opus":0.05272988269103057,"score_gpt":0.3102506816299264,"score_spread":0.25752079893889585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283363278","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27942693,0.7151881,0.0002797383,0.0001518927,0.00064603734,0.0024256338,0.0007828201,0.000009536118,0.0010892864],"genre_scores_gemma":[0.8568126,0.14080663,0.00067054876,0.000050512812,0.00017924025,0.0011200344,0.00018441824,0.0000314876,0.00014454573],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9977926,0.00036294086,0.0011657354,0.00036153483,0.00012050805,0.00019669607],"domain_scores_gemma":[0.9975609,0.0006880885,0.0011560066,0.00036534521,0.00017861433,0.00005101253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068499874,0.0001414675,0.0006505403,0.00031604702,0.00032312956,0.000042444262,0.0002678599,0.000067085,0.00011469287],"category_scores_gemma":[0.00022144764,0.00015639942,0.00011218671,0.0004080506,0.00001558375,0.0003781803,0.00015389058,0.0001987478,0.00003391953],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033509485,0.0006320454,0.007679127,0.9509052,0.00022193266,6.8534257e-7,0.03309197,0.00017238248,0.000012801486,0.0062443055,0.00024970877,0.0007563092],"study_design_scores_gemma":[0.004788801,0.0035908355,0.045364752,0.6048281,0.0012463974,0.00020113525,0.14969966,0.13261637,0.00008722569,0.013526242,0.041876808,0.0021736159],"about_ca_topic_score_codex":0.000054165834,"about_ca_topic_score_gemma":0.00008764168,"teacher_disagreement_score":0.57738566,"about_ca_system_score_codex":0.00025733936,"about_ca_system_score_gemma":0.000057264195,"threshold_uncertainty_score":0.6377783},"labels":[],"label_agreement":null},{"id":"W4283394721","doi":"10.54932/xdvi6385","title":"Choosing to Pay More for Electricity: an experiment on the level of residential consumer cooperation","year":2022,"lang":"en","type":"report","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"HEC Montréal","keywords":"Greenhouse gas; Subsidy; Consumption (sociology); Context (archaeology); Externality; Willingness to pay; Economics; Value (mathematics); Electricity; Constraint (computer-aided design); Hydropower; Dilemma; Welfare; Public economics; Business; Environmental economics; Natural resource economics; Microeconomics; Market economy","score_opus":0.3865880899881285,"score_gpt":0.3255126874172626,"score_spread":0.06107540257086591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283394721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8202703,0.0024029976,0.04681101,0.0046310867,0.0048305416,0.007458563,0.004411839,0.00008016679,0.10910348],"genre_scores_gemma":[0.968725,0.00065932656,0.0010459963,0.0009532684,0.00027019213,0.0007699696,0.00075340905,0.00007931884,0.026743468],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983986,0.00002401717,0.000800266,0.00048450608,0.000098878896,0.0001937196],"domain_scores_gemma":[0.99890965,0.00008034753,0.0005161473,0.000408643,0.00003415807,0.000051061892],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013299236,0.00018854377,0.0004238096,0.00019779282,0.00020566478,0.00005433636,0.00020790377,0.000117840464,0.004122941],"category_scores_gemma":[0.00014301648,0.00015849242,0.00013823864,0.00008735199,0.000029734792,0.0001009966,0.00006783923,0.00016242778,0.00008210113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005936735,0.0019824826,0.05237594,0.00036137056,0.0015420497,0.0000036740007,0.0058433083,0.023802275,0.0030084352,0.2743561,0.6144216,0.021709086],"study_design_scores_gemma":[0.0021498534,0.002337427,0.09421866,0.00008900379,0.00014932976,0.000012653355,0.0018094587,0.009608432,0.025559865,0.0041667405,0.8578532,0.0020454153],"about_ca_topic_score_codex":0.0014270311,"about_ca_topic_score_gemma":0.000086378175,"teacher_disagreement_score":0.27018934,"about_ca_system_score_codex":0.0008294535,"about_ca_system_score_gemma":0.00012037484,"threshold_uncertainty_score":0.9967874},"labels":[],"label_agreement":null},{"id":"W4283511847","doi":"10.1016/j.jval.2022.04.1440","title":"PCR97 Discrete Choice Experiment Vs. Best-Worst Scaling: An Empirical Comparison in Measuring Treatment Preference of Lung Cancer Patients","year":2022,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mixed logit; Multinomial logistic regression; Preference; Lung cancer; Medicine; Statistics; Ordered logit; Random effects model; Demography; Logistic regression; Mathematics; Internal medicine; Meta-analysis","score_opus":0.3568688916061442,"score_gpt":0.3480348468592822,"score_spread":0.008834044746862002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283511847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99609464,0.0024525246,0.000039884933,0.00023016396,0.0002542941,0.0005374511,0.00011830936,0.0000075727344,0.00026517338],"genre_scores_gemma":[0.9989173,0.0003868274,0.00019099923,0.0000948882,0.000026594567,0.0002765695,0.000051708226,0.000018107175,0.000037005255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981002,0.00012588922,0.0009914417,0.00042016196,0.000072873176,0.00028942456],"domain_scores_gemma":[0.9992018,0.000047667345,0.0004380807,0.00021559828,0.0000040643245,0.000092838956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060010253,0.00013577836,0.00045404094,0.00019235382,0.00010647837,0.0000114671675,0.00015052277,0.000037689984,0.00024014493],"category_scores_gemma":[0.000016048132,0.00016393086,0.00004751524,0.00015115443,0.000025031226,0.00014182314,0.00007981851,0.00014130888,0.000008740421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027218082,0.00072206144,0.85527724,0.00003276088,0.000008059558,1.5056966e-7,0.0041084765,0.13882668,0.0000018292088,0.00032828667,0.0000114966815,0.0006557531],"study_design_scores_gemma":[0.0012463692,0.0005693553,0.863062,0.000041795247,0.0000023629873,1.18819344e-7,0.00036126433,0.13368978,0.000066270826,0.0002131014,0.00059435534,0.00015321442],"about_ca_topic_score_codex":0.035471663,"about_ca_topic_score_gemma":0.0005600123,"teacher_disagreement_score":0.03491165,"about_ca_system_score_codex":0.003229082,"about_ca_system_score_gemma":0.00006395482,"threshold_uncertainty_score":0.9709512},"labels":[],"label_agreement":null},{"id":"W4283583088","doi":"10.2196/37422","title":"Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Propensity score matching; China; Demography; Test (biology); Matching (statistics); Population; Logistic regression; Pandemic; Mixed logit; Logit; Descriptive statistics; Medicine; Public health; Coronavirus disease 2019 (COVID-19); Psychology; Statistics; Geography; Environmental health; Mathematics; Nursing; Sociology","score_opus":0.2009247452554161,"score_gpt":0.3185752230587412,"score_spread":0.1176504778033251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283583088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99007213,0.0010781719,0.00020639283,0.007298593,0.000027938238,0.0009593184,0.00032058157,0.000008634184,0.000028227309],"genre_scores_gemma":[0.9963759,0.0011418476,0.000028188417,0.0013263595,0.000019305538,0.0009213103,0.00016898762,0.000007310581,0.000010774101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896073,0.00016220132,0.00035615987,0.00024559506,0.000046598292,0.00022871443],"domain_scores_gemma":[0.999104,0.00036700896,0.0002920641,0.00013598506,0.000005604763,0.00009532072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020126184,0.00009412111,0.0002401834,0.00007740653,0.00047932356,0.000057804085,0.0001383593,0.000019552195,0.000027210619],"category_scores_gemma":[0.00009522887,0.000064636064,0.000018243301,0.00014720167,0.000095095726,0.00012622899,0.000089319925,0.00012447765,2.6171944e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040655214,0.000037533868,0.99245906,0.00010560835,0.00000937159,1.2625661e-7,0.005838079,0.0003893142,3.289757e-7,0.0007727291,0.00006724899,0.00027996744],"study_design_scores_gemma":[0.00077809044,0.00019983108,0.9885111,0.0000038364024,2.5765743e-7,0.0000042074294,0.0024474256,0.0005816126,5.535834e-7,0.0007839092,0.0065992447,0.00008996857],"about_ca_topic_score_codex":0.0029967614,"about_ca_topic_score_gemma":0.0008707862,"teacher_disagreement_score":0.0065319957,"about_ca_system_score_codex":0.0001403451,"about_ca_system_score_gemma":0.00006208904,"threshold_uncertainty_score":0.45302266},"labels":[],"label_agreement":null},{"id":"W4285087628","doi":"10.1007/s40271-022-00587-7","title":"Methods to Summarize Discrete-Choice Experiments in a Systematic Review: A Scoping Review","year":2022,"lang":"en","type":"review","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Impact; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Systematic review; Management science; Data science; Computer science; Psychology; MEDLINE; Engineering; Political science","score_opus":0.3213611811658099,"score_gpt":0.40390359599573683,"score_spread":0.08254241482992691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285087628","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000011957092,0.98682934,0.00025363875,0.000042531425,0.0004137096,0.010104906,0.00010354285,0.000016809696,0.00223431],"genre_scores_gemma":[6.1840757e-7,0.9856948,0.0017872083,0.0016720536,0.000020647563,0.010336121,0.0002139011,0.00006920288,0.00020539701],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9948418,0.0005492874,0.0033497508,0.00083082065,0.000082895924,0.00034544166],"domain_scores_gemma":[0.99684304,0.00039444148,0.0017842136,0.0008482732,0.0000045128872,0.00012554417],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026080958,0.00043894706,0.004475777,0.00028190124,0.0000756833,0.00003062094,0.0004420614,0.000093523646,0.0026715987],"category_scores_gemma":[0.0011534136,0.0004492061,0.00057883636,0.00042418495,0.000014955887,0.00012786825,0.000410574,0.00027585772,0.0013340033],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.6157715e-7,0.00005171796,0.000030321806,0.9675954,0.00005721037,0.0000014265822,0.000085949985,0.000002296663,5.513593e-9,0.00012939071,0.0003932071,0.03165271],"study_design_scores_gemma":[0.00005761957,0.00004627507,0.0000023446796,0.6779078,0.00017543917,0.0000026044547,0.000009307558,0.000006180452,6.218442e-8,0.000023040717,0.32142588,0.0003434086],"about_ca_topic_score_codex":0.00009755156,"about_ca_topic_score_gemma":0.000008710798,"teacher_disagreement_score":0.32103267,"about_ca_system_score_codex":0.0013750127,"about_ca_system_score_gemma":0.00004662575,"threshold_uncertainty_score":0.999796},"labels":[],"label_agreement":null},{"id":"W4285309755","doi":"10.2139/ssrn.4159525","title":"Disparities in Economic Values for Nature-Based Activities in Canada","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geography; Political science","score_opus":0.018574037396718483,"score_gpt":0.19105790328439773,"score_spread":0.17248386588767925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285309755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940348,0.003249611,0.0003357193,0.0011703473,0.0004548759,0.00016417,0.00012536669,0.0000030131744,0.00046205742],"genre_scores_gemma":[0.9984048,0.0005127828,0.000035942106,0.0003007241,0.00006124678,0.000092375485,0.000027520751,0.000019351812,0.0005452722],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99834424,0.000028324712,0.00043362592,0.00021109064,0.000029921128,0.00095277664],"domain_scores_gemma":[0.9995807,0.00007489192,0.00021936231,0.00009593364,0.0000014005567,0.000027752285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014266346,0.00010481543,0.00024221868,0.00020607353,0.00014826196,0.000024678933,0.00019407358,0.000038255428,0.00021010652],"category_scores_gemma":[0.00001473785,0.00014175776,0.00006768579,0.00004793886,0.000017348686,0.0001875485,0.000031577078,0.0010408406,0.000005871333],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052052983,0.000037682188,0.7919243,0.00000542254,0.000026100517,9.404613e-7,0.00004418353,0.043393165,0.0000024345431,0.16373852,0.00020335977,0.00057184935],"study_design_scores_gemma":[0.0028156203,0.00023822075,0.24079311,0.000007059803,0.0000053450935,0.000026349751,0.0047219577,0.024112357,0.000051929637,0.7226586,0.00412289,0.00044656088],"about_ca_topic_score_codex":0.46477804,"about_ca_topic_score_gemma":0.9015351,"teacher_disagreement_score":0.5589201,"about_ca_system_score_codex":0.018001141,"about_ca_system_score_gemma":0.0020695222,"threshold_uncertainty_score":0.98576856},"labels":[],"label_agreement":null},{"id":"W4285451106","doi":"10.32920/ryerson.14656083","title":"Valuing protected areas through contingent valuation : a case study of Chitwan National Park, Nepal","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"European Environment Agency; United Nations Educational, Scientific and Cultural Organization; World Wildlife Fund","keywords":"Contingent valuation; National park; World heritage; Willingness to pay; Tourism; Valuation (finance); Protected area; Business; Geography; Socioeconomics; Value (mathematics); Economic growth; Natural resource economics; Environmental resource management; Economics; Finance","score_opus":0.24456639642079092,"score_gpt":0.2779697626799596,"score_spread":0.033403366259168676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285451106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98149776,0.00042053004,0.007894087,0.00008538393,0.00048329905,0.0017244421,0.000089098074,0.000038045837,0.0077673243],"genre_scores_gemma":[0.99491084,0.00004883289,0.0039206143,0.000070006055,0.0001325749,0.000374247,0.0002325384,0.00003614884,0.00027422252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973573,0.00009204175,0.0013732825,0.0008289896,0.00013633989,0.00021201048],"domain_scores_gemma":[0.99819,0.000056762266,0.0011825337,0.0004269777,0.00009268047,0.000051077343],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012518108,0.00028537324,0.00067508884,0.00017172635,0.00012141841,0.00010485267,0.00018056498,0.00023129839,0.0011086138],"category_scores_gemma":[0.00018339409,0.0003567195,0.0001935214,0.00011966101,0.0000391047,0.00023326775,0.00041288705,0.00034048618,0.00006045925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059692986,0.004801035,0.82904106,0.00043038052,0.001882629,0.00017823934,0.042503674,0.10225148,0.00010844361,0.015653381,0.00028928986,0.0028007035],"study_design_scores_gemma":[0.0069370447,0.00073689164,0.69024384,0.00024150957,0.00026043458,0.00033681036,0.04579185,0.19653198,0.0005063181,0.056004908,0.0003336891,0.00207475],"about_ca_topic_score_codex":0.0049570957,"about_ca_topic_score_gemma":0.0006200026,"teacher_disagreement_score":0.13879724,"about_ca_system_score_codex":0.00044216536,"about_ca_system_score_gemma":0.000093854316,"threshold_uncertainty_score":0.9998885},"labels":[],"label_agreement":null},{"id":"W4285588578","doi":"10.1111/csp2.12771","title":"Prioritization of public and private land to protect species at risk habitat","year":2022,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nature Conservancy of Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Easement; Habitat; Business; Incentive; Species richness; Prioritization; Opportunity cost; Land use; Environmental resource management; Protected area; Habitat conservation; Environmental planning; Natural resource economics; Ecology; Geography; Environmental science; Economics; Biology","score_opus":0.16683104717348887,"score_gpt":0.2634282205041903,"score_spread":0.09659717333070142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285588578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98673123,0.00028136093,0.0016956821,0.007253233,0.000083310464,0.0002797328,0.000047334477,0.0000072195403,0.0036208953],"genre_scores_gemma":[0.9965452,0.0002580996,0.0018045302,0.0010115689,0.000011040115,0.000037444122,0.0000063787525,0.000004217098,0.000321516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992485,0.0000540072,0.00025342742,0.00025691566,0.00008084651,0.00010628651],"domain_scores_gemma":[0.9992197,0.00020489782,0.00035376195,0.0001233428,0.000042833504,0.000055465778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039039408,0.000050980605,0.000101583966,0.00015535875,0.000507433,0.0000783434,0.000090871035,0.0000143063535,0.0001438989],"category_scores_gemma":[0.0023479417,0.00006131592,0.000009072354,0.00035911115,0.0001697503,0.0010154188,0.00020552191,0.000058005033,0.000024747547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001918677,0.000019863488,0.9718683,0.000006750625,0.000004596352,1.5798372e-7,0.0006183477,0.00006925789,0.0008310389,0.025305469,0.00019690725,0.0010601429],"study_design_scores_gemma":[0.00022822595,0.000097761884,0.88557166,0.0000016961429,0.0000041149788,0.000009891004,0.00036674636,0.0016372491,0.00016402702,0.0023720106,0.10946122,0.00008541504],"about_ca_topic_score_codex":0.00011616592,"about_ca_topic_score_gemma":0.000024522822,"teacher_disagreement_score":0.109264314,"about_ca_system_score_codex":0.0001481337,"about_ca_system_score_gemma":0.000032047636,"threshold_uncertainty_score":0.39028162},"labels":[],"label_agreement":null},{"id":"W4287105662","doi":"","title":"Estimating Coherency between Survey Data and Incentivized Experimental Data","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Labex Ecodec; Agence Nationale de la Recherche; Sugar Research and Development Corporation; Horizon 2020 Framework Programme; Arizona State University","keywords":"Survey data collection; Survey research; Econometrics; Computer science; Business; Statistics; Economics; Mathematics","score_opus":0.3754556918291275,"score_gpt":0.3706624957477505,"score_spread":0.004793196081377016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287105662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788452,0.002318712,0.00013055342,0.00009119697,0.0006153964,0.00070456904,0.005291973,0.000024629213,0.011977761],"genre_scores_gemma":[0.97663236,0.004101181,0.0059340056,0.00003492072,0.00026794366,0.000071935,0.01255201,0.000083836654,0.00032181534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99487376,0.00029826578,0.0014733478,0.002579567,0.00008979511,0.00068527245],"domain_scores_gemma":[0.99466527,0.00062525366,0.00060358923,0.0038822326,0.0000207433,0.00020289578],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0075758444,0.00038369454,0.0010708941,0.0003338116,0.00020430719,0.00048083995,0.0023199464,0.00044110627,0.00050659693],"category_scores_gemma":[0.00074691745,0.0005358888,0.00006379187,0.000103759674,0.0003386904,0.00073337276,0.013141038,0.0012037379,0.00006160647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018592787,0.00017433983,0.96222514,0.000097227094,0.00017681556,0.0000074006607,0.000394299,0.00071635743,0.000008809245,0.00007636495,0.00010074279,0.036003914],"study_design_scores_gemma":[0.001314916,0.000053313735,0.6592029,0.00017291597,0.0000126595605,0.000004435617,0.0008326385,0.3344298,0.000029330724,0.0013230501,0.0017638261,0.00086021994],"about_ca_topic_score_codex":0.0015783312,"about_ca_topic_score_gemma":0.0006867909,"teacher_disagreement_score":0.33371344,"about_ca_system_score_codex":0.00084780937,"about_ca_system_score_gemma":0.00020540609,"threshold_uncertainty_score":0.99970925},"labels":[],"label_agreement":null},{"id":"W4287921746","doi":"10.3389/fcosc.2022.903132","title":"Investing in monarch conservation: understanding private funding dynamics","year":2022,"lang":"en","type":"article","venue":"Frontiers in Conservation Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Espace pour la vie; University of Windsor; Simon Fraser University","funders":"","keywords":"Donation; Context (archaeology); Economics; Business; Profit (economics); Public economics; Environmental resource management; Marketing; Microeconomics; Geography","score_opus":0.2521924426102124,"score_gpt":0.2548855431611018,"score_spread":0.0026931005508893935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287921746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9294339,0.00014311993,0.060937226,0.0035725043,0.0008953645,0.00025732457,0.000024345962,0.000020646978,0.004715583],"genre_scores_gemma":[0.9896118,0.000026409207,0.008802756,0.0012143321,0.000012825918,0.000063787586,0.000026399439,0.000011565856,0.00023011502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983351,0.00004003156,0.00066683255,0.000495157,0.0001198581,0.0003429765],"domain_scores_gemma":[0.9993278,0.00007079403,0.00032815046,0.0002113032,0.000008514665,0.000053467735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035696235,0.00010414593,0.00021399673,0.00086363684,0.0004564822,0.000085831336,0.00037861767,0.000034191093,0.000110291185],"category_scores_gemma":[0.00023999605,0.00015558109,0.00002722261,0.0015524902,0.0002991199,0.0008780489,0.00021267058,0.00022985351,0.000014835244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057026355,0.000018996974,0.80318546,0.000005006374,0.0000017149655,0.000001544176,0.00045703052,0.0056259185,0.00001955479,0.19033809,0.00023736012,0.00010359758],"study_design_scores_gemma":[0.00035499764,0.000016805985,0.4818951,0.000008065133,5.910382e-7,0.0000021149247,0.0023010506,0.4273891,0.000007890625,0.08711526,0.00076926604,0.00013978308],"about_ca_topic_score_codex":0.00048222046,"about_ca_topic_score_gemma":0.00018400024,"teacher_disagreement_score":0.42176318,"about_ca_system_score_codex":0.00371764,"about_ca_system_score_gemma":0.000096335294,"threshold_uncertainty_score":0.9721499},"labels":[],"label_agreement":null},{"id":"W4289133353","doi":"10.1111/caje.12605","title":"Negotiating over payments for wetland ecosystem services","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Université de Bordeaux; University of Waterloo","keywords":"Ecosystem services; Payment; Subsidy; Business; Payment for ecosystem services; Negotiation; Ecosystem; Agency (philosophy); Natural resource economics; Environmental resource management; Environmental economics; Finance; Economics; Ecology","score_opus":0.17567056141144946,"score_gpt":0.1741373032209458,"score_spread":0.0015332581905036502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289133353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913606,0.0008258843,0.00017084331,0.00070398796,0.0029657984,0.00043677684,0.002366793,0.0000056462754,0.001163691],"genre_scores_gemma":[0.9976487,0.00006512227,0.00032433978,0.00063849613,0.0004967918,0.000098217235,0.00010497548,0.000068770096,0.0005545994],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974894,0.000034476336,0.0013855761,0.0004267737,0.0000020744942,0.0006617302],"domain_scores_gemma":[0.99720156,0.00009586218,0.0015492236,0.00032085102,0.000030872437,0.0008016391],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013276406,0.00024708838,0.0006762569,0.00062994496,0.00049470214,0.00016352546,0.0005906294,0.00010124629,0.0014340471],"category_scores_gemma":[0.000039259783,0.00036065615,0.00027813672,0.00008046806,0.0000396972,0.0005453517,0.000049931514,0.0002624475,0.000048049573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006294983,0.000030790092,0.3006283,0.00009525852,0.00030364917,0.000020553662,0.0017130839,0.1154328,0.0000085015845,0.5800206,0.001207754,0.0004757863],"study_design_scores_gemma":[0.005150531,0.0013144464,0.04132435,0.00007539596,0.00008827937,0.0004960889,0.00417074,0.0781938,0.00004319012,0.36218297,0.5053597,0.0016004904],"about_ca_topic_score_codex":0.054116197,"about_ca_topic_score_gemma":0.6225112,"teacher_disagreement_score":0.568395,"about_ca_system_score_codex":0.003697617,"about_ca_system_score_gemma":0.00036065734,"threshold_uncertainty_score":0.99988455},"labels":[],"label_agreement":null},{"id":"W4289260957","doi":"10.1016/j.dajour.2022.100105","title":"An optimization model for equitable accessibility to magnetic resonance imaging technology in developing countries","year":2022,"lang":"en","type":"article","venue":"Decision Analytics Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Pró-Reitoria de Pesquisa, Universidade Federal de Minas Gerais; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Equity (law); Magnetic resonance imaging; Healthcare system; Health care; Computer science; Health technology; Imaging technology; Medical diagnosis; Business; Medicine; Economics; Economic growth; Radiology; Political science","score_opus":0.08828408577129823,"score_gpt":0.2955040975930229,"score_spread":0.20722001182172464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289260957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18595852,0.001251166,0.8106884,0.0015952745,0.00014928739,0.00016758885,0.000052895037,0.000009451605,0.0001274398],"genre_scores_gemma":[0.86308914,0.000312223,0.13540317,0.0009314406,0.000025220437,0.000039347815,0.000011619236,0.000018675248,0.00016918276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856704,0.000013963155,0.00074368087,0.00032955242,0.00006599788,0.0002797473],"domain_scores_gemma":[0.99938715,0.000046592962,0.00024402527,0.00022291434,0.000033376466,0.00006595009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001989541,0.00009674035,0.00023262059,0.0006549473,0.0003919481,0.00013199999,0.00034583744,0.00003769152,0.00045848737],"category_scores_gemma":[0.00013250869,0.000122295,0.000046666104,0.00034909768,0.000024070598,0.00040265746,0.00016178339,0.00015598687,0.00002031176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034380824,0.000034326615,0.14124914,0.0000016666835,0.0000015018292,0.0000013338846,0.00013118194,0.83915913,0.000002509243,0.0141802095,0.00023256877,0.004972023],"study_design_scores_gemma":[0.0005332699,0.000055760156,0.016650569,0.0000075786384,0.0000026829637,0.000010919235,0.00017322162,0.8859392,0.000004507702,0.092376955,0.004107643,0.00013769203],"about_ca_topic_score_codex":0.000006141984,"about_ca_topic_score_gemma":0.000012760672,"teacher_disagreement_score":0.6771306,"about_ca_system_score_codex":0.0009111109,"about_ca_system_score_gemma":0.000058200447,"threshold_uncertainty_score":0.50201154},"labels":[],"label_agreement":null},{"id":"W4289518799","doi":"10.1155/2022/6556282","title":"Development of Integrated Choice and Latent Variable (ICLV) Models Using Matrix-Based Analytic Approximation and Automatic Differentiation Methods on TensorFlow Platform","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Bivariate analysis; Computer science; Latent variable; Automatic differentiation; Matrix (chemical analysis); Multinomial probit; Multinomial distribution; Mathematical optimization; Mathematics; Statistics; Algorithm; Probit model; Artificial intelligence; Machine learning","score_opus":0.09194187834421035,"score_gpt":0.271289980111285,"score_spread":0.17934810176707466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289518799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.719436,0.00015974452,0.28015614,0.000015636688,0.00007466057,0.00011846741,0.000024952,0.00000402762,0.000010366467],"genre_scores_gemma":[0.7573136,0.000023566028,0.24255884,0.00001592614,0.000005788192,0.0000065588374,0.00005939206,0.000009448689,0.0000068796357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987836,0.000020873442,0.00089645176,0.00014321676,0.0000690115,0.00008683597],"domain_scores_gemma":[0.99877095,0.000053045926,0.0010501177,0.00006293963,0.00002544732,0.000037519603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006704167,0.000099616744,0.00029332354,0.00027015523,0.000109786735,0.000013790325,0.000046658068,0.00003389962,0.00006406456],"category_scores_gemma":[0.00001579498,0.000107264,0.000042653526,0.00013085133,0.000016021711,0.0004331152,0.0000037408574,0.000112760245,3.0576513e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057467416,0.000112244794,0.021838779,0.00009159017,0.00006466612,3.062026e-7,0.0013898385,0.9616612,0.0036731397,0.0032460906,5.7035373e-7,0.007864059],"study_design_scores_gemma":[0.0012389938,0.00012605195,0.28240153,0.000041032323,0.000044733228,0.000002090152,0.0004365575,0.70833343,0.0008119828,0.0064135334,0.000036610807,0.000113480426],"about_ca_topic_score_codex":0.000014267858,"about_ca_topic_score_gemma":0.0000040029986,"teacher_disagreement_score":0.26056275,"about_ca_system_score_codex":0.0002750762,"about_ca_system_score_gemma":0.00003237332,"threshold_uncertainty_score":0.4374099},"labels":[],"label_agreement":null},{"id":"W4289922246","doi":"10.2139/ssrn.4182187","title":"Rational Inattention in Discrete Choice Models: Estimable Specifications with Empirical Applications of Ri-Multinomial Logit (Ri-Mnl) and Ri-Nested Logit (Ri-Nl) Models","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multinomial logistic regression; Discrete choice; Nested logit; Mixed logit; Multinomial distribution; Econometrics; Logistic regression; Logit; Multinomial probit; Mathematics; Statistics; Economics; Computer science; Mathematical economics","score_opus":0.12892973460208987,"score_gpt":0.24689110241668225,"score_spread":0.11796136781459238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289922246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.578849,0.0017660352,0.41502067,0.0013716527,0.00006473899,0.0005637762,0.00014020097,0.000018652392,0.002205256],"genre_scores_gemma":[0.99616575,0.0010594097,0.0013079651,0.000070455295,0.00008739653,0.00022522685,0.0001558994,0.00003088351,0.0008969873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977616,0.00006487605,0.00084312254,0.0004715755,0.00011339731,0.00074541307],"domain_scores_gemma":[0.9989169,0.00008274228,0.000641959,0.00024882087,0.000030408712,0.00007912042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013006629,0.00019212902,0.0003506087,0.00033019678,0.00040969302,0.000058075933,0.00027198577,0.00008179253,0.00017508713],"category_scores_gemma":[0.000021827374,0.00021741558,0.00009152438,0.00029935667,0.00012571905,0.0007150626,0.000099633806,0.00091283483,0.000024069737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011416779,0.0004006435,0.15223326,0.000012730281,0.00012302354,7.891956e-7,0.00029725718,0.38644624,0.000031132487,0.456198,0.00007490317,0.0040678196],"study_design_scores_gemma":[0.0020260543,0.00028425973,0.04300672,0.000008785097,0.000030974767,0.000091545015,0.0008592841,0.45102596,0.0000062070217,0.50147665,0.00085895497,0.00032459572],"about_ca_topic_score_codex":0.0003133242,"about_ca_topic_score_gemma":0.0005876849,"teacher_disagreement_score":0.41731676,"about_ca_system_score_codex":0.0016935006,"about_ca_system_score_gemma":0.00030993027,"threshold_uncertainty_score":0.886595},"labels":[],"label_agreement":null},{"id":"W4290785845","doi":"10.21203/rs.3.rs-1925995/v1","title":"An Empirical Specification of Rational Inattention Multinomial Logit (RI- MNL) Model for Panel Datasets","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multinomial logistic regression; Discrete choice; Mixed logit; Context (archaeology); Computer science; Empirical research; Econometrics; Set (abstract data type); Panel data; Logit; Sample (material); Empirical evidence; Nested logit; Operations research; Economics; Logistic regression; Machine learning; Mathematics; Statistics","score_opus":0.620158192450971,"score_gpt":0.4341639495871261,"score_spread":0.18599424286384492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290785845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7910826,0.00041534484,0.17814659,0.0006552545,0.00040474016,0.002447968,0.025282316,0.00003231278,0.0015328611],"genre_scores_gemma":[0.96538967,0.00019329296,0.0050119148,0.00003346956,0.00021768465,0.00053964654,0.028215338,0.000039186565,0.00035982678],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975728,0.00010691254,0.00092838187,0.0008459899,0.00019492189,0.0003510044],"domain_scores_gemma":[0.9983766,0.00018893444,0.00049734267,0.00075318356,0.00007567928,0.0001082395],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004114198,0.0001752481,0.00038076678,0.0005187332,0.00024419033,0.00007646859,0.0005165623,0.0002699021,0.0012914407],"category_scores_gemma":[0.0002120611,0.00023077555,0.00017988744,0.00012003762,0.00013519893,0.0002634826,0.00050344237,0.00060745404,0.00011316701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067224685,0.002567048,0.45664197,0.0012856381,0.00019970941,0.0000026391438,0.002248032,0.40464276,0.0005123524,0.106449775,0.017275842,0.0075019775],"study_design_scores_gemma":[0.0006662721,0.00017377023,0.22314145,0.000018698647,0.0000065612544,4.6510647e-7,0.000340759,0.7341435,0.00006630379,0.03843572,0.002760391,0.00024615013],"about_ca_topic_score_codex":0.00015345188,"about_ca_topic_score_gemma":0.0000312344,"teacher_disagreement_score":0.3295007,"about_ca_system_score_codex":0.00087699725,"about_ca_system_score_gemma":0.00011455047,"threshold_uncertainty_score":0.9996215},"labels":[],"label_agreement":null},{"id":"W4291008041","doi":"10.1371/journal.pone.0272406","title":"Characterizing, mapping and valuing the demand for forest recreation using crowdsourced social media data","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Genome British Columbia; Génome Québec; Genome Canada","keywords":"Recreation; Geography; Ecosystem services; Forest management; Social media; Environmental resource management; Forest ecology; Inclusion (mineral); Forest inventory; Ecosystem; Forestry; Ecology; Environmental science; Computer science; World Wide Web; Sociology","score_opus":0.4103911955081711,"score_gpt":0.24080761915002868,"score_spread":0.16958357635814242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291008041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964097,0.00032925993,0.0017694605,0.0005965181,0.00006471706,0.00028714305,0.00029518866,0.000010983091,0.00023704075],"genre_scores_gemma":[0.9969216,0.0000669801,0.002087539,0.00017708734,0.00021657386,0.00006312491,0.0003769224,0.00001770216,0.0000724563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993202,0.00001708565,0.00025634622,0.00024646753,0.000032867996,0.00012705085],"domain_scores_gemma":[0.9994884,0.000082393635,0.00022710447,0.00017930684,0.0000035666596,0.000019242882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008530882,0.00006499931,0.00016233104,0.000052036907,0.00056469353,0.00005046737,0.0001613941,0.000025446752,0.0001473215],"category_scores_gemma":[0.0000832345,0.00007482716,0.000022185175,0.000044314973,0.000030009658,0.00021016005,0.00022049056,0.00007405438,0.000008773184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109104345,0.00078717567,0.9207943,0.0002599524,0.00080241647,9.416358e-7,0.024432689,0.000840301,0.018970316,0.027240247,0.000571199,0.005191372],"study_design_scores_gemma":[0.0011142124,0.00004591233,0.6945875,0.000024677118,0.00009180141,0.0000024899878,0.0017497294,0.28815237,0.00019550706,0.010097447,0.0036137274,0.0003246125],"about_ca_topic_score_codex":0.000026129985,"about_ca_topic_score_gemma":0.000008134824,"teacher_disagreement_score":0.28731206,"about_ca_system_score_codex":0.000109046385,"about_ca_system_score_gemma":0.00000528124,"threshold_uncertainty_score":0.43432233},"labels":[],"label_agreement":null},{"id":"W4291187466","doi":"","title":"Finding solutions from space: Essential Biodiversity Variables (RS-EBVs) for conservation planning","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Biodiversity conservation; Space (punctuation); Computer science; Biology; Ecology; Operating system","score_opus":0.09171895154512363,"score_gpt":0.22747856716840076,"score_spread":0.13575961562327712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291187466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5270117,0.0008747114,0.4530324,0.0053149066,0.0007838594,0.00049931224,0.0015949556,0.000095568015,0.010792578],"genre_scores_gemma":[0.92939746,0.00040331806,0.061708324,0.00019924194,0.00014056792,0.00010262619,0.0054129935,0.000039270064,0.0025962226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978073,0.00038458873,0.0006133823,0.000808902,0.000066786444,0.00031900086],"domain_scores_gemma":[0.99715126,0.0007013129,0.0009212884,0.0008980179,0.00022966834,0.00009846341],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035627189,0.0002489848,0.0003958737,0.00019351156,0.0006640642,0.00029508836,0.00056263135,0.00033876713,0.00058095675],"category_scores_gemma":[0.0006815308,0.0003496293,0.00020369834,0.00011250074,0.00020333662,0.00023815499,0.0007696433,0.000266801,0.00030116815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005762423,0.0007915971,0.5627952,0.00025789332,0.00065174175,0.0000017857573,0.015876321,0.0019250328,0.0009539436,0.3706185,0.044295534,0.0017748133],"study_design_scores_gemma":[0.003647882,0.0000033624249,0.34176442,0.0017665552,0.0002604816,0.0000035629303,0.0006980361,0.26770243,0.013944976,0.28541526,0.08251138,0.002281676],"about_ca_topic_score_codex":0.003984476,"about_ca_topic_score_gemma":0.00035415974,"teacher_disagreement_score":0.40238574,"about_ca_system_score_codex":0.00032009202,"about_ca_system_score_gemma":0.000076225144,"threshold_uncertainty_score":0.9998956},"labels":[],"label_agreement":null},{"id":"W4293055984","doi":"10.1155/2022/8686584","title":"Mixed Multinomial Probit Model Accommodating Flexible Covariance Structure and Random Taste Variation: An Application to Commute Mode Choice Behavior","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Multinomial probit; Multinomial logistic regression; Discrete choice; Ordered probit; Covariance; Mixed logit; Econometrics; Probit; Probit model; Mode choice; Multinomial distribution; Mode (computer interface); Statistics; Mathematics; Computer science; Logistic regression; Engineering; Transport engineering","score_opus":0.047581179882841475,"score_gpt":0.25222124777182825,"score_spread":0.20464006788898678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293055984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78056484,0.00007514913,0.21826105,0.00015453965,0.00018247512,0.00039789366,0.00033792594,0.0000102444255,0.000015888085],"genre_scores_gemma":[0.94322455,0.000019856612,0.056159288,0.00014150052,0.000077653945,0.00009146367,0.00023627019,0.000022144215,0.000027251712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99869806,0.00002685104,0.0008193634,0.00024662077,0.00007583387,0.00013327916],"domain_scores_gemma":[0.99876857,0.000032394313,0.0009154087,0.00016364931,0.000032966498,0.000087036904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003959164,0.00012601806,0.00029826837,0.00014124627,0.00024241523,0.00003207776,0.00016135794,0.000045105033,0.00006502335],"category_scores_gemma":[0.000014350443,0.00015898446,0.000057327674,0.000117950425,0.00001599116,0.0009082542,0.000011229621,0.00021806084,0.0000026250566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019601465,0.00009079893,0.023624683,0.000011707632,0.000017687245,5.9241205e-7,0.0021139428,0.9610304,0.0066262954,0.003033302,0.000007536217,0.003247001],"study_design_scores_gemma":[0.0051696994,0.0002876118,0.79351676,0.00001110872,0.00005697772,0.000011794873,0.00043628988,0.19203784,0.00058294856,0.0069832243,0.00059796293,0.00030780846],"about_ca_topic_score_codex":0.000061532395,"about_ca_topic_score_gemma":0.000076386255,"teacher_disagreement_score":0.76989204,"about_ca_system_score_codex":0.00019772307,"about_ca_system_score_gemma":0.000021689159,"threshold_uncertainty_score":0.64831984},"labels":[],"label_agreement":null},{"id":"W4293147088","doi":"10.1016/j.jeem.2022.102659","title":"Using economic experiments to assess the validity of stated preference contingent behavior responses","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Prion Research Institute; Genome Alberta; University of Alberta; Alberta Agriculture and Forestry; Genome Canada","keywords":"Economics; Framing (construction); Incentive; Incentive compatibility; Framing effect; Microeconomics; Recreation; Loss aversion; Psychology; Econometrics; Social psychology","score_opus":0.32546501091298613,"score_gpt":0.28536534908158295,"score_spread":0.04009966183140318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293147088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99738395,0.00034140862,0.00035593394,0.00014383436,0.0004429798,0.000428329,0.00028468782,0.0000021310682,0.0006167708],"genre_scores_gemma":[0.9961566,0.0019407873,0.0013813517,0.00017757964,0.000032562843,0.000044080545,0.00000666501,0.000020143383,0.00024023288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985043,0.000055549102,0.000961945,0.00025403575,0.000046067573,0.00017809683],"domain_scores_gemma":[0.9986203,0.000037719616,0.001022837,0.00023035922,0.0000019575418,0.00008688372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011237285,0.00014655302,0.000348396,0.0001743467,0.00019360695,0.00003996406,0.00029721856,0.000024254488,0.0006764517],"category_scores_gemma":[0.000003910754,0.00015517438,0.00011448975,0.000025810707,0.00007445807,0.00020271704,0.00047593465,0.00010846634,0.000019350211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055198994,0.001451732,0.83829445,0.00005652042,0.0009378281,0.000022135862,0.002325154,0.09974534,0.0033572526,0.04562913,0.0007355668,0.0068928814],"study_design_scores_gemma":[0.0022224102,0.00089300476,0.9363018,0.000014937547,0.00014135898,0.000059639788,0.0043123933,0.003983116,0.001646267,0.0021755267,0.047739655,0.0005098407],"about_ca_topic_score_codex":0.000031722182,"about_ca_topic_score_gemma":0.000002873955,"teacher_disagreement_score":0.09800739,"about_ca_system_score_codex":0.0007753448,"about_ca_system_score_gemma":0.000011461947,"threshold_uncertainty_score":0.7406672},"labels":[],"label_agreement":null},{"id":"W4293243878","doi":"10.1111/caje.12593","title":"Iterated expectations under rank‐dependent expected utility and implications for common valuation methods","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Valuation (finance); Iterated function; Econometrics; Rank (graph theory); Economics; Mathematics; Actuarial science; Mathematical economics; Financial economics; Statistics; Combinatorics; Accounting","score_opus":0.3774191293124235,"score_gpt":0.2538905559582173,"score_spread":0.1235285733542062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293243878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98105425,0.0011522918,0.010859608,0.0035201532,0.00088386383,0.0005595849,0.0013764718,0.0000077217555,0.0005860861],"genre_scores_gemma":[0.99460524,0.00006474883,0.0039218827,0.0005382254,0.00014008155,0.00022691788,0.00018697807,0.000046019835,0.00026990363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99773383,0.0001114801,0.001269918,0.00044225476,0.0000018321814,0.00044067952],"domain_scores_gemma":[0.9976541,0.0002452318,0.0010467882,0.00034592822,0.00006353726,0.00064445863],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001712823,0.00021182348,0.00058165466,0.0006686783,0.0006284283,0.00011932227,0.00033433788,0.0001009033,0.0007337352],"category_scores_gemma":[0.00013686827,0.0003162804,0.00018426609,0.00012346578,0.0001060181,0.00044146585,0.00003869223,0.0002515026,0.000011037253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057405225,0.00004316701,0.08880447,0.00001849491,0.00022709227,0.0000017145852,0.0029543797,0.019499296,0.000045162706,0.8837211,0.0003970048,0.0042306855],"study_design_scores_gemma":[0.0016221943,0.0003361623,0.103553735,0.000008359054,0.00005255642,0.00016992353,0.0029248605,0.01554822,0.000062379724,0.86739904,0.007844111,0.00047845577],"about_ca_topic_score_codex":0.019703591,"about_ca_topic_score_gemma":0.34129605,"teacher_disagreement_score":0.32159248,"about_ca_system_score_codex":0.002582782,"about_ca_system_score_gemma":0.00042777628,"threshold_uncertainty_score":0.99992895},"labels":[],"label_agreement":null},{"id":"W4293425609","doi":"10.1111/cjag.12317","title":"Willingness to pay for multiple dimensions of green open space: Applying a spatial hedonic approach","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Max Bell Foundation","keywords":"Spillover effect; Woodland; Willingness to pay; Space (punctuation); Value (mathematics); Economics; Hedonic regression; Microeconomics; Urban green space; Hedonic pricing; Agricultural economics; Econometrics; Natural resource economics; Environmental economics; Business; Mathematics; Computer science; Statistics; Ecology","score_opus":0.08599098052594177,"score_gpt":0.18353762321141406,"score_spread":0.09754664268547229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293425609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912584,0.00028035816,0.00066086004,0.0023898054,0.001426375,0.0014696602,0.0016787734,0.000005090006,0.0008307194],"genre_scores_gemma":[0.99529433,0.000031896954,0.0020869954,0.00040971,0.0003665782,0.0003288925,0.0001874865,0.000049358125,0.0012447414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9969642,0.000036179747,0.0016529871,0.00058941776,0.000012226034,0.0007450005],"domain_scores_gemma":[0.99675786,0.00012681229,0.0016013572,0.00035793244,0.00006688335,0.0010891722],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011579596,0.00031810298,0.0010523043,0.00042797765,0.0005621439,0.00013171244,0.0011930563,0.00010389788,0.0005036072],"category_scores_gemma":[0.00010080198,0.0002988123,0.00038206708,0.00017283636,0.00007279532,0.00058691134,0.00019826222,0.00030846568,0.000036361194],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032921293,0.00023281881,0.36980549,0.00017347919,0.0009436058,0.000015976559,0.0080002025,0.49464035,0.00021159783,0.1142498,0.006932423,0.0044650557],"study_design_scores_gemma":[0.0084368875,0.00297192,0.65136427,0.00009820829,0.00020966804,0.0006536906,0.015165899,0.016520498,0.00028534673,0.0285772,0.27288285,0.0028335948],"about_ca_topic_score_codex":0.14172874,"about_ca_topic_score_gemma":0.38042215,"teacher_disagreement_score":0.47811985,"about_ca_system_score_codex":0.0031793327,"about_ca_system_score_gemma":0.00042039546,"threshold_uncertainty_score":0.9999464},"labels":[],"label_agreement":null},{"id":"W4293574939","doi":"10.1111/acv.12816","title":"Not just the Big Five: African ecotourists prefer parks brimming with bird diversity","year":2022,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; University of Vermont","keywords":"Ecotourism; Geography; Rhinoceros; Bushmeat; Species richness; Wildlife; Biodiversity; Ecology; Wildlife tourism; Leopard; Protected area; Tourism; Biology","score_opus":0.13126021910813404,"score_gpt":0.20891219141593276,"score_spread":0.07765197230779872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293574939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938598,0.00008309586,0.00017899103,0.0030440383,0.00012002199,0.00022218392,0.00006470166,0.00003429354,0.0023928217],"genre_scores_gemma":[0.99713516,0.000021745032,0.00008791563,0.0016840325,0.000059301852,0.00005301845,0.00003238939,0.000017572216,0.00090889115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992413,0.00003186376,0.00024291997,0.0002754098,0.00005306029,0.00015542856],"domain_scores_gemma":[0.9994662,0.00005183107,0.000257657,0.00018536455,0.000008963893,0.000029994077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004754337,0.00009532293,0.00013791451,0.00006110487,0.0007929078,0.000038323033,0.00018443618,0.0000284351,0.0004913568],"category_scores_gemma":[0.000017376227,0.00009518772,0.000045011435,0.00012946173,0.000058792994,0.00018749964,0.0002693667,0.00014344227,0.0001658527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010027774,0.000040580668,0.9879588,0.000005351962,0.00003245445,0.0000015677125,0.0011210085,0.00036266967,0.000041089792,0.008327764,0.0016376382,0.0003708139],"study_design_scores_gemma":[0.00037512457,0.0001663815,0.98177737,0.0000018041625,0.00001217843,0.0000036781353,0.000841582,0.0027392518,0.000027445849,0.00060402765,0.013303896,0.00014728123],"about_ca_topic_score_codex":0.0035463816,"about_ca_topic_score_gemma":0.0005285683,"teacher_disagreement_score":0.011666258,"about_ca_system_score_codex":0.00023142232,"about_ca_system_score_gemma":0.000015669806,"threshold_uncertainty_score":0.60984856},"labels":[],"label_agreement":null},{"id":"W4294805120","doi":"10.2166/aqua.2022.058","title":"Causes for reforestation failure in Haiti and residents' willingness to pay for cleaner cookstoves","year":2022,"lang":"en","type":"article","venue":"Journal of Water Supply Research and Technology—AQUA","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Reforestation; Government (linguistics); Purchasing; Deforestation (computer science); Business; Local government; Environmental planning; Socioeconomics; Forestry; Geography; Agroforestry; Marketing; Economics; Environmental science","score_opus":0.0910547326930034,"score_gpt":0.2849476966664369,"score_spread":0.19389296397343347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294805120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98510283,0.0004594021,0.0006854109,0.013107464,0.000073991076,0.00043562238,0.00010823479,0.0000051581956,0.000021896856],"genre_scores_gemma":[0.9967434,0.00021566573,0.0018217529,0.000060139268,0.00004038179,0.00013670641,0.00001903056,0.000015356187,0.00094756304],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989767,0.000019286877,0.0004516889,0.00021012957,0.000055741486,0.00028643786],"domain_scores_gemma":[0.9996017,0.00007099704,0.0001198711,0.00010338091,0.000044793785,0.000059243044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016654667,0.00007427322,0.00023128484,0.00073877216,0.00021470989,0.000047816848,0.00015552825,0.000072129886,0.000048720707],"category_scores_gemma":[0.000109808854,0.000060380797,0.000029033987,0.0001287576,0.00009118297,0.00020620243,0.00013383827,0.00025990917,0.000005839983],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044583555,0.00013814913,0.9640323,0.00008369184,0.000056418336,0.000011751257,0.0012792611,0.00018904108,0.0021917117,0.020688828,0.00649355,0.0043894616],"study_design_scores_gemma":[0.0054655154,0.005494919,0.2251849,0.00006339101,0.00001282881,0.00012895704,0.006585339,0.0010091144,0.013446329,0.5841152,0.15806697,0.00042650293],"about_ca_topic_score_codex":0.000069351016,"about_ca_topic_score_gemma":0.00014465337,"teacher_disagreement_score":0.7388474,"about_ca_system_score_codex":0.00015823629,"about_ca_system_score_gemma":0.000014790999,"threshold_uncertainty_score":0.24622574},"labels":[],"label_agreement":null},{"id":"W4294969977","doi":"10.1139/cjce-2022-0097","title":"Quantifying agricultural property value diminution due to upstream oil and gas activities using Alberta's abandoned well sites as an example","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Land reclamation; Property value; Agricultural land; Acre; Agriculture; Covariate; Agricultural economics; Environmental science; Geography; Business; Agricultural science; Statistics; Mathematics; Economics","score_opus":0.06671343806535694,"score_gpt":0.18880729559721038,"score_spread":0.12209385753185344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294969977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972869,0.0004182467,0.00041690184,0.00017254944,0.00029444625,0.000041836218,0.00001691335,0.0000044595868,0.0013477057],"genre_scores_gemma":[0.9991618,0.000026583655,0.0003098867,0.000059159833,0.000105273764,0.0000053841322,0.000009523872,0.000019474044,0.0003029404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99925685,0.00001459306,0.00031790297,0.00015771066,0.00003274124,0.00022019714],"domain_scores_gemma":[0.9994348,0.000032178792,0.00016203648,0.000084757565,0.0000072885773,0.00027891513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003323006,0.000113675625,0.00023004308,0.00025673202,0.00020992565,0.00008179996,0.00010275418,0.00003014113,0.0004312646],"category_scores_gemma":[0.00003381506,0.00011302154,0.00005253038,0.000089934656,0.000014734173,0.0004329467,0.00002269606,0.00014283166,0.000009129046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025929347,0.000043523272,0.10384924,0.00006614689,0.00013010539,0.000045690413,0.008481919,0.87414384,0.0043151607,0.0069097946,0.00034715998,0.001641478],"study_design_scores_gemma":[0.004338714,0.001826647,0.5636606,0.00035684486,0.00017141216,0.0041729077,0.01477023,0.31262434,0.0028785681,0.002327932,0.08970546,0.0031663028],"about_ca_topic_score_codex":0.0321894,"about_ca_topic_score_gemma":0.059527528,"teacher_disagreement_score":0.5615195,"about_ca_system_score_codex":0.0004988792,"about_ca_system_score_gemma":0.00005098531,"threshold_uncertainty_score":0.9742553},"labels":[],"label_agreement":null},{"id":"W4295423183","doi":"10.1016/j.jenvman.2022.116136","title":"Understanding farmers’ conservation behavior over time: A longitudinal application of the transtheoretical model of behavior change","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Socio-Environmental Synthesis Center; National Science Foundation","keywords":"Transtheoretical model; Environmental resource management; Agriculture; Psychological intervention; Climate change; Behavior change; Business; Environmental planning; Environmental science; Environmental economics; Psychology; Geography; Ecology; Economics; Social psychology","score_opus":0.1845269493381463,"score_gpt":0.22522762820263653,"score_spread":0.04070067886449022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295423183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98680526,0.00012529436,0.011414069,0.00017696539,0.00010221829,0.00061962055,0.000156725,0.0000017905246,0.00059804716],"genre_scores_gemma":[0.9991171,0.00009109176,0.00041308498,0.00008797988,0.00001432856,0.00012806094,0.0000101453215,0.000013773167,0.00012446108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989016,0.000024073492,0.0006862138,0.00014665628,0.00013605466,0.00010541886],"domain_scores_gemma":[0.99893254,0.000012044852,0.0008509116,0.00017290164,0.0000017025474,0.000029875468],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050114567,0.00009334167,0.00022104432,0.00011685738,0.00009275625,0.0000057091593,0.00021292521,0.000028392375,0.00095681625],"category_scores_gemma":[0.0000014140389,0.000095456046,0.00017019421,0.000066379114,0.00013596134,0.00015626072,0.00012599907,0.000114010254,0.000008219345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006685426,0.001017943,0.9201442,0.000028909304,0.00010365834,0.0000021821968,0.00046694546,0.0061221113,0.0029785265,0.067665115,0.000079095094,0.0013244733],"study_design_scores_gemma":[0.0010052449,0.00019574088,0.9763658,0.0000090502435,0.00017040188,0.000009377079,0.0006440449,0.01580258,0.00019273654,0.005280926,0.0001933463,0.00013075616],"about_ca_topic_score_codex":0.0000111384725,"about_ca_topic_score_gemma":6.5000825e-7,"teacher_disagreement_score":0.062384192,"about_ca_system_score_codex":0.0006357211,"about_ca_system_score_gemma":0.0000031806185,"threshold_uncertainty_score":0.9999564},"labels":[],"label_agreement":null},{"id":"W4295804183","doi":"10.1177/14651165221123155","title":"Where is the EU–UK relationship heading? A conjoint survey experiment of Brexit trade-offs","year":2022,"lang":"en","type":"article","venue":"European Union Politics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Toronto; McMaster University","funders":"European Commission","keywords":"Brexit; European union; Heading (navigation); International economics; International trade; Single market; Sample (material); Sovereignty; Political science; Economics; Conjoint analysis; Business; Politics; Law; Engineering; Preference","score_opus":0.14273087180965363,"score_gpt":0.24134626714778865,"score_spread":0.09861539533813501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295804183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92181,0.001552726,0.00086313917,0.0045576547,0.00046700417,0.00029482698,0.00084800756,0.000026203827,0.069580495],"genre_scores_gemma":[0.99601465,0.000055418608,0.00009362001,0.0010512958,0.000054042543,0.000009295415,0.00008741195,0.000034008946,0.0026002463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99856097,0.00034441563,0.0005968311,0.0002420733,0.000053873842,0.00020186591],"domain_scores_gemma":[0.9991249,0.00010839932,0.00033252736,0.00036786345,0.0000054919783,0.000060848914],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002049917,0.00011347539,0.00018384778,0.00008275243,0.0002969898,0.00002532934,0.0002380013,0.000020808155,0.0016525758],"category_scores_gemma":[0.000050168306,0.0001239077,0.00009064096,0.000102747,0.000101397105,0.00006256211,0.00015370452,0.00018055532,0.00032426693],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044893604,0.000113007925,0.42224476,0.000014759843,0.000036786674,0.0000013409583,0.0041479925,0.0013063304,0.000022203536,0.56539136,0.006655349,0.00006162159],"study_design_scores_gemma":[0.00051995885,0.0001143194,0.9341744,0.0000085765105,0.0000056771078,0.0000057224524,0.0008512999,0.00034570487,0.00013725921,0.0060030445,0.05765596,0.00017807182],"about_ca_topic_score_codex":0.0004572724,"about_ca_topic_score_gemma":0.00001084231,"teacher_disagreement_score":0.5593883,"about_ca_system_score_codex":0.0003479976,"about_ca_system_score_gemma":0.000019529587,"threshold_uncertainty_score":0.99926007},"labels":[],"label_agreement":null},{"id":"W4296344447","doi":"10.3368/le.112421-0140r","title":"À la carte Management of Recreational Resources","year":2022,"lang":"fr","type":"article","venue":"Land Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"","keywords":"Recreation; Geography; Political science","score_opus":0.05456337968529206,"score_gpt":0.18963068380936776,"score_spread":0.1350673041240757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296344447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88417876,0.008656185,0.00010985211,0.0011333268,0.0013215675,0.00018687606,0.0011757471,0.000008942189,0.10322874],"genre_scores_gemma":[0.9510123,0.009218198,0.0013222568,0.0001807659,0.00013450348,0.00007632281,0.00020803224,0.00003777627,0.03780982],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998538,0.00005659048,0.00073535996,0.0003937089,0.000026257032,0.00025007757],"domain_scores_gemma":[0.9990389,0.00006545602,0.00053388864,0.00029917923,0.0000036667557,0.00005894533],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009035086,0.00015393316,0.00036745658,0.00012417596,0.0002146009,0.00003499002,0.00024569538,0.00008879046,0.008651988],"category_scores_gemma":[0.0000029075784,0.0002443108,0.00015789428,0.00006303071,0.00012117319,0.00018190345,0.00027468373,0.00018344642,0.00044415344],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056400226,0.00028070054,0.5953218,0.00015344287,0.0004242097,0.0000066266234,0.0014113167,0.07817482,6.4115596e-7,0.29831475,0.0022423249,0.02361297],"study_design_scores_gemma":[0.0010566998,0.00010955035,0.3023624,0.000023961311,0.0000446897,0.000020702935,0.0013193757,0.008426859,0.0000074021923,0.014250158,0.67206836,0.00030986092],"about_ca_topic_score_codex":0.00029990784,"about_ca_topic_score_gemma":0.000029462091,"teacher_disagreement_score":0.66982603,"about_ca_system_score_codex":0.0005343376,"about_ca_system_score_gemma":0.000012884691,"threshold_uncertainty_score":0.9962705},"labels":[],"label_agreement":null},{"id":"W4297911658","doi":"10.1155/2022/6001033","title":"Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Hong Kong Polytechnic University; Government of Jiangsu Province; Six Talent Peaks Project in Jiangsu Province; National Natural Science Foundation of China","keywords":"Regret; Variance (accounting); Perception; Statistics; Econometrics; Taxis; Global Positioning System; Computer science; Multidimensional scaling; Mathematics; Engineering; Psychology; Transport engineering; Economics","score_opus":0.06926424440812586,"score_gpt":0.24673681753972276,"score_spread":0.17747257313159692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297911658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8470711,0.00021757244,0.15227555,0.00008192431,0.00012524094,0.00010172419,0.00009769866,0.0000024550736,0.000026732587],"genre_scores_gemma":[0.9871388,0.00014872722,0.012440298,0.000062219086,0.000022516942,0.000008055669,0.00016416707,0.0000116767405,0.0000035069666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986535,0.000026222111,0.00088328647,0.00024079402,0.00009224389,0.00010400705],"domain_scores_gemma":[0.9988116,0.000097067496,0.000819898,0.00023467882,0.000006484473,0.000030255558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081616035,0.00009054565,0.00036347142,0.0005015712,0.000056449942,0.0000064247993,0.00016504906,0.000028571356,0.000196279],"category_scores_gemma":[0.00003400081,0.000116605406,0.00010339821,0.00022993807,0.000013781124,0.00042821685,0.000008692807,0.00017349947,0.0000018100916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056167675,0.00007141421,0.12826167,0.000018636574,0.00006781641,0.0000028553816,0.0003822496,0.86871713,0.0008464745,0.00051042216,8.207437e-7,0.0010643334],"study_design_scores_gemma":[0.0007861218,0.000105981,0.48691678,0.000018123552,0.000084395266,3.7797716e-7,0.00015229773,0.51096976,0.000029872332,0.00077335106,0.0000813106,0.000081634],"about_ca_topic_score_codex":0.000045452052,"about_ca_topic_score_gemma":0.000024352847,"teacher_disagreement_score":0.3586551,"about_ca_system_score_codex":0.00032591447,"about_ca_system_score_gemma":0.000011673719,"threshold_uncertainty_score":0.47550303},"labels":[],"label_agreement":null},{"id":"W4307138534","doi":"10.1038/s41598-022-22416-5","title":"Context-dependent choice and evaluation in real-world consumer behavior","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Army Research Office; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Choice set; Valuation (finance); Context (archaeology); Context effect; Computer science; Set (abstract data type); Consumer choice; Intertemporal choice; Value (mathematics); Cognitive psychology; Psychology; Microeconomics; Econometrics; Economics; Machine learning; Mathematics; Finance","score_opus":0.11805371184022773,"score_gpt":0.2757440561079683,"score_spread":0.1576903442677406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307138534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98703235,0.001204843,0.00000780097,0.00008647985,0.002876324,0.0005426381,0.000019489717,0.000013472923,0.008216573],"genre_scores_gemma":[0.99433684,0.000022548762,0.000035075776,0.000049534923,0.000017165157,0.00033017044,0.0000851016,0.000011211947,0.00511233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983231,0.00003947437,0.0006544752,0.00068109506,0.00012216017,0.00017969719],"domain_scores_gemma":[0.99913937,0.000024097657,0.00036478974,0.00040777464,0.000010807412,0.000053149546],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0043275496,0.00008677053,0.00019338234,0.0003108258,0.00027852296,0.00009975366,0.00007319101,0.000023502827,0.0034880654],"category_scores_gemma":[0.00005192313,0.00011493132,0.00004555515,0.00020083852,0.000095503514,0.00022106644,0.00012367038,0.00011091896,0.00008664437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001434103,0.000082347695,0.9923198,0.0000030090869,0.00000742598,0.00001127152,0.00024921235,0.0005765545,0.000075316704,0.0014366701,0.00094559835,0.0042913477],"study_design_scores_gemma":[0.00041730123,0.000018936329,0.9340047,0.0000027497838,0.0000146756265,0.000026928397,0.00023685007,0.0018970132,0.000080987695,0.011917679,0.05120318,0.000178951],"about_ca_topic_score_codex":0.001614512,"about_ca_topic_score_gemma":0.0010891497,"teacher_disagreement_score":0.058315065,"about_ca_system_score_codex":0.0004931712,"about_ca_system_score_gemma":0.000032878525,"threshold_uncertainty_score":0.9974229},"labels":[],"label_agreement":null},{"id":"W4307220545","doi":"10.21203/rs.3.rs-2191857/v1","title":"Domains of scale in cumulative effects of energy sector development on boreal birds","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cumulative effects; Scale (ratio); Biodiversity; Boreal; Spatial ecology; Ecology; Context (archaeology); Geography; Habitat; Temporal scales; Environmental science; Physical geography; Biology; Cartography","score_opus":0.12591032477278583,"score_gpt":0.3180990584379629,"score_spread":0.19218873366517705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307220545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820061,0.000736839,0.00017240639,0.000044248136,0.00017659776,0.00050089293,0.00022973621,0.0000073444985,0.016125878],"genre_scores_gemma":[0.99805915,0.00048949395,0.00033759733,0.000011892757,0.000036658716,0.00030596438,0.00022060829,0.000033318935,0.0005052978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804735,0.00015990913,0.00076587463,0.0005279614,0.00018381776,0.0003150914],"domain_scores_gemma":[0.99881023,0.00030395557,0.00037254227,0.0004234312,0.000023718087,0.00006615047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015980133,0.0001652883,0.00055601593,0.00085465226,0.0000665044,0.000012514997,0.00032055317,0.00017450373,0.00069756946],"category_scores_gemma":[0.00010979094,0.00020284901,0.00012210433,0.00024153023,0.00011347944,0.000050486105,0.0007279541,0.0005105058,0.000041861655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014079142,0.00094023824,0.93015385,0.0016813754,0.00014632566,0.0000071707727,0.00431628,0.013618013,0.00007434252,0.04502572,0.0002992785,0.0035965892],"study_design_scores_gemma":[0.00070895435,0.0003077173,0.9775245,0.00026080484,0.0000020199914,1.3754484e-7,0.00023485642,0.0011931603,0.0036571028,0.013838433,0.0020582736,0.0002139984],"about_ca_topic_score_codex":0.0022141417,"about_ca_topic_score_gemma":0.00027564995,"teacher_disagreement_score":0.04737067,"about_ca_system_score_codex":0.0012608371,"about_ca_system_score_gemma":0.0001225714,"threshold_uncertainty_score":0.8271943},"labels":[],"label_agreement":null},{"id":"W4307454518","doi":"10.1017/bca.2022.14","title":"Risk Perception, Learning, and Willingness to Pay to Reduce Heart Disease Risk","year":2022,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta; U.S. Environmental Protection Agency","keywords":"Risk perception; Willingness to pay; Actuarial science; Perception; Affect (linguistics); Psychology; Risk assessment; Estimation; Econometrics; Economics; Microeconomics","score_opus":0.0266242929903668,"score_gpt":0.23351629778601732,"score_spread":0.2068920047956505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307454518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935096,0.00052735605,0.003954056,0.001408931,0.00016172913,0.00011978918,0.00021063049,0.000005917122,0.00010199903],"genre_scores_gemma":[0.99720687,0.00058743404,0.00087790634,0.00033015874,0.00012970658,0.00001860911,0.000020601607,0.000017853683,0.00081086304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986001,0.00006264354,0.00074057624,0.00031749584,0.00009377444,0.00018540348],"domain_scores_gemma":[0.99865305,0.000044848228,0.00075151544,0.00018556156,0.000029844734,0.00033515983],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001508082,0.00012782085,0.00046593143,0.000592577,0.0004197798,0.00007234481,0.00016004832,0.000027486352,0.001920533],"category_scores_gemma":[0.00016489912,0.00013237362,0.00030161088,0.0005872472,0.000017963583,0.00018450202,0.00011204195,0.00031527525,0.00015967597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005260772,0.00004995495,0.76764596,0.0000016264967,0.0002111861,0.00000135022,0.00045681765,0.22913626,0.000027256156,0.000051826617,0.00039995983,0.0019651745],"study_design_scores_gemma":[0.0002968482,0.00015817638,0.97129464,0.0000030175293,0.00040202984,0.000004111444,0.00057550846,0.0047680195,0.0000049246537,0.0012619076,0.021051263,0.00017953846],"about_ca_topic_score_codex":0.0002879559,"about_ca_topic_score_gemma":0.000029155111,"teacher_disagreement_score":0.22436824,"about_ca_system_score_codex":0.00032127186,"about_ca_system_score_gemma":0.000012485995,"threshold_uncertainty_score":0.99899185},"labels":[],"label_agreement":null},{"id":"W4307562664","doi":"10.1111/cjag.12319","title":"New online market connecting Chinese consumers and small farms to improve food safety and environment","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"SAFER; Business; Production (economics); Marketing; Incentive; Food safety; Government (linguistics); Service (business); China; Economics","score_opus":0.03279811374443799,"score_gpt":0.1509988219422826,"score_spread":0.1182007081978446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307562664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890676,0.0015992831,0.00009058902,0.005048548,0.0010505872,0.00038752513,0.0017130517,0.0000062877316,0.0010365332],"genre_scores_gemma":[0.9958201,0.00038600503,0.0013512067,0.0007698645,0.00029249393,0.000012177012,0.00007652515,0.000039963008,0.0012516715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745554,0.00003295547,0.001265089,0.00059723476,0.000008781208,0.0006404269],"domain_scores_gemma":[0.9969209,0.00010247094,0.000923324,0.00022681827,0.000014188147,0.0018122888],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071115873,0.00034780102,0.00077568524,0.00038167383,0.00047817768,0.00014021476,0.00036189036,0.00009244259,0.0020726104],"category_scores_gemma":[0.000076932236,0.0003823229,0.0001644665,0.00008098956,0.00007368308,0.00037100862,0.00013938412,0.00036909757,0.0000324159],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054131146,0.0001439291,0.7685503,0.00015282439,0.002083297,0.000093675815,0.014784376,0.061587673,0.0002053089,0.078157395,0.005701205,0.06799871],"study_design_scores_gemma":[0.002534084,0.0013837381,0.8699326,0.000020535406,0.000057766178,0.0008780863,0.0056654755,0.00070264423,0.000011061689,0.007276454,0.11049279,0.0010447993],"about_ca_topic_score_codex":0.023572944,"about_ca_topic_score_gemma":0.28859943,"teacher_disagreement_score":0.26502648,"about_ca_system_score_codex":0.0026771082,"about_ca_system_score_gemma":0.00016644291,"threshold_uncertainty_score":0.99986285},"labels":[],"label_agreement":null},{"id":"W4307713577","doi":"10.1257/pol.20200400","title":"Reminders Work, but for Whom? Evidence from New York City Parking Ticket Recipients","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Disadvantaged; Psychological intervention; Ticket; Natural experiment; Incentive; Baseline (sea); Work (physics); Demographic economics; Public economics; Variation (astronomy); Economics; Business; Political science; Psychology; Medicine; Computer science; Economic growth; Computer security; Microeconomics; Engineering","score_opus":0.17814812637767774,"score_gpt":0.2719792524856505,"score_spread":0.09383112610797278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307713577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985563,0.0011553322,0.0022825205,0.0040869107,0.0024481358,0.0004548267,0.0008775415,0.000045453748,0.0030862696],"genre_scores_gemma":[0.9881905,0.0006624292,0.0025209507,0.0020915482,0.0024170068,0.00011791421,0.00007351873,0.00011182123,0.003814367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961008,0.00008683339,0.0018233121,0.0010197029,0.000050680563,0.0009187158],"domain_scores_gemma":[0.9957285,0.00045915018,0.002595763,0.0006819239,0.0000063520215,0.0005282947],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016321688,0.00043360013,0.0010360125,0.00055620243,0.0008690186,0.00037145903,0.0010492309,0.00008753969,0.005181732],"category_scores_gemma":[0.00015087333,0.00061261037,0.00051840866,0.00013706833,0.00031999653,0.00080758275,0.0003408226,0.0005706778,0.0017352429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041776785,0.000100739344,0.8471935,0.0000057262882,0.00062383775,0.0000038978114,0.0029361967,0.038306814,0.000022412763,0.0056952126,0.06478324,0.03991065],"study_design_scores_gemma":[0.0057011624,0.001044619,0.56801337,0.00008921819,0.00012867771,0.00018028612,0.0042640637,0.013649166,0.00013169963,0.10705426,0.29694176,0.0028017254],"about_ca_topic_score_codex":0.022447497,"about_ca_topic_score_gemma":0.00027242853,"teacher_disagreement_score":0.27918017,"about_ca_system_score_codex":0.008048394,"about_ca_system_score_gemma":0.00069501024,"threshold_uncertainty_score":0.99963254},"labels":[],"label_agreement":null},{"id":"W4308954619","doi":"10.1007/s40273-022-01198-8","title":"Patient Preferences in Targeted Pharmacotherapy for Cancers: A Systematic Review of Discrete Choice Experiments","year":2022,"lang":"en","type":"review","venue":"PharmacoEconomics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Macquarie University","keywords":"Quality of Life Research; Health economics; Pharmacotherapy; Pharmacoeconomics; Health administration; Medicine; Public health; Intensive care medicine; Oncology; Internal medicine; Nursing","score_opus":0.21727704471184267,"score_gpt":0.37035633105890164,"score_spread":0.15307928634705897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308954619","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013630277,0.99011326,0.00003522136,0.000017178296,0.0008156462,0.0056753806,0.002249155,0.000016637186,0.0009412029],"genre_scores_gemma":[0.00013220702,0.9912668,0.0001535972,0.00058497244,0.00007308662,0.006966041,0.0006141689,0.00009983034,0.00010929904],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99548155,0.00013077763,0.0032240297,0.00074905367,0.000046710345,0.0003678663],"domain_scores_gemma":[0.9958616,0.00032404278,0.0032872185,0.00042570118,0.000007931596,0.000093511815],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010049631,0.0004972416,0.0036324468,0.00033187386,0.00006905258,0.000027921811,0.0005407113,0.00011046213,0.0043738848],"category_scores_gemma":[0.00007127728,0.0005523123,0.00073405716,0.00015878958,0.000044980567,0.0002788534,0.00012084609,0.00025905814,0.00010479462],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012589037,0.0001382063,0.00008633615,0.9691185,0.00070157705,5.4238166e-7,0.00028356398,0.00008765609,6.660794e-7,0.000448463,0.0009807657,0.028141186],"study_design_scores_gemma":[0.0009417575,0.000108707114,0.00000217933,0.08541129,0.00049332227,0.0000024336837,0.000060766306,0.00058800384,0.000018820678,0.0002601507,0.91136646,0.00074612803],"about_ca_topic_score_codex":0.00019655176,"about_ca_topic_score_gemma":0.0000073532697,"teacher_disagreement_score":0.91038567,"about_ca_system_score_codex":0.00192185,"about_ca_system_score_gemma":0.00013062204,"threshold_uncertainty_score":0.99969286},"labels":[],"label_agreement":null},{"id":"W4309013607","doi":"10.1111/cjag.12322","title":"The effects of bundling on livestock producers' valuations of environmentally friendly traits available through genomic selection","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Contingent valuation; Sustainability; Livestock; Environmentally friendly; Willingness to pay; Production (economics); Business; Natural resource economics; Trait; Valuation (finance); Economics; Environmental economics; Environmental resource management; Microeconomics; Ecology; Biology","score_opus":0.03692483881905673,"score_gpt":0.1585278623126778,"score_spread":0.12160302349362107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309013607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927894,0.0015847747,0.000019665395,0.00081384333,0.0013836421,0.0005487765,0.00031505135,0.000003997214,0.002540854],"genre_scores_gemma":[0.9974726,0.00036671764,0.00029255942,0.00013103458,0.00022979893,0.000053559874,0.00003855574,0.00003370164,0.0013814869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99731106,0.00006906707,0.0016148132,0.00043206083,0.000019694355,0.0005533026],"domain_scores_gemma":[0.9968493,0.0002797691,0.0022071719,0.00025879097,0.000037243964,0.0003677322],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000885935,0.00027427424,0.00066997274,0.00023868153,0.0006792255,0.00005844172,0.0006132765,0.00008768062,0.0009786277],"category_scores_gemma":[0.00014268592,0.0002728991,0.00033909528,0.0001354555,0.00018715057,0.00048228662,0.000051247764,0.00036725626,0.00009012684],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003096065,0.0004694239,0.12134639,0.00031338993,0.0022130453,0.000018112833,0.015076069,0.4599042,0.0049401843,0.37551552,0.015938433,0.003955653],"study_design_scores_gemma":[0.0036943555,0.006351322,0.88222563,0.00011953271,0.00023762626,0.00040099781,0.008056702,0.0012190011,0.0031344232,0.022129131,0.07100726,0.0014240013],"about_ca_topic_score_codex":0.009749533,"about_ca_topic_score_gemma":0.050064106,"teacher_disagreement_score":0.7608793,"about_ca_system_score_codex":0.0039795567,"about_ca_system_score_gemma":0.00038657812,"threshold_uncertainty_score":0.99997234},"labels":[],"label_agreement":null},{"id":"W4309362224","doi":"10.1007/s11356-022-23994-7","title":"The influence of China’s protected areas policy on households’ risk perception, forest investment, and revenue","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Postdoctoral Science Foundation; National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Revenue; China; Investment (military); Ecotoxicology; Perception; Natural resource economics; Business; Economics; Agricultural economics; Geography; Finance; Ecology; Political science; Psychology","score_opus":0.06741603350118455,"score_gpt":0.2674201052127001,"score_spread":0.20000407171151555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309362224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969208,0.00026801517,0.0000045528454,0.0012284765,0.000025510803,0.00038256161,0.00025195364,0.000004270642,0.0009138285],"genre_scores_gemma":[0.99780875,0.00137094,0.00002456355,0.00016194099,0.000023710867,0.0000982494,0.000004867464,0.0000070273018,0.0004999535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988361,0.000098345365,0.00023723135,0.00033312742,0.00021930278,0.00027587247],"domain_scores_gemma":[0.9994975,0.00003144953,0.00015197051,0.00022342724,0.0000035490568,0.00009214811],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003177059,0.00007439864,0.0000943899,0.0001876809,0.0019201455,0.00005206104,0.00022358404,0.000024562705,0.00008218361],"category_scores_gemma":[0.00017128832,0.00006936677,0.000019301979,0.00031963174,0.0015566827,0.00022147696,0.0003314549,0.0002468415,0.00004489992],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005067768,0.0001521043,0.93488216,0.0000077182185,0.000011609286,5.8516434e-7,0.0017795992,0.005349952,0.0069625266,0.045249492,0.0003838446,0.005169708],"study_design_scores_gemma":[0.00021893758,0.00025316843,0.98220897,0.0000030642827,8.6301276e-7,0.000003906041,0.0005373868,0.000578942,0.000069381014,0.010477044,0.005576312,0.00007202513],"about_ca_topic_score_codex":0.0016929045,"about_ca_topic_score_gemma":0.000021194728,"teacher_disagreement_score":0.047326785,"about_ca_system_score_codex":0.0006214365,"about_ca_system_score_gemma":0.000046715453,"threshold_uncertainty_score":0.9993792},"labels":[],"label_agreement":null},{"id":"W4309412291","doi":"10.1007/s00267-022-01729-1","title":"Evaluation of the Impact of Policymakers’ Decisions in the Management Capacity of Protected Areas: Efficiency Evidence from Five Countries","year":2022,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Data envelopment analysis; Business; Tourism; Forest management; Nature Conservation; Environmental resource management; Protected area; Management by objectives; Environmental economics; Economics; Geography; Marketing; Forestry","score_opus":0.09378979881563006,"score_gpt":0.24975911137468498,"score_spread":0.15596931255905494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309412291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953373,0.00052831485,0.00022546276,0.00010859114,0.00007073873,0.0015522673,0.00039692028,0.0000024194392,0.0017780066],"genre_scores_gemma":[0.99907106,0.00032243764,0.00020280083,0.000033596396,0.0000062984,0.00027293485,0.00001969266,0.0000089834275,0.00006221621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835145,0.00019375712,0.00066086394,0.00028670224,0.00035767452,0.00014953055],"domain_scores_gemma":[0.99872476,0.0000840725,0.00061900285,0.0005520561,0.0000036867775,0.000016407374],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023252594,0.00012643346,0.00022631447,0.00014215181,0.00011706178,0.000007867991,0.0005153552,0.000023665521,0.0011525453],"category_scores_gemma":[0.000026688702,0.00010266767,0.00015960899,0.0002093001,0.00016577706,0.00011709139,0.0004113118,0.000099373654,0.000023011366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008912339,0.0013170831,0.7110572,0.000043283995,0.0005425654,0.0000012661551,0.009179695,0.26607472,0.0004018689,0.007087504,0.00022328083,0.0039824313],"study_design_scores_gemma":[0.00070142676,0.000112964335,0.9820016,0.000038730297,0.00007370012,4.756617e-7,0.0029650468,0.0066515394,0.00018471765,0.007113583,0.00006085247,0.00009538013],"about_ca_topic_score_codex":0.0015178224,"about_ca_topic_score_gemma":0.000018050758,"teacher_disagreement_score":0.2709444,"about_ca_system_score_codex":0.0009797749,"about_ca_system_score_gemma":0.000008286188,"threshold_uncertainty_score":0.9997605},"labels":[],"label_agreement":null},{"id":"W4309918608","doi":"10.1155/2022/3047794","title":"Estimating the Value of Statistical Life in a Road Safety Context Based on the Contingent Valuation Method","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hungarian Scientific Research Fund","keywords":"Akaike information criterion; Context (archaeology); Contingent valuation; Willingness to pay; Bayesian information criterion; Statistics; Actuarial science; Econometrics; Transport engineering; Economics; Mathematics; Geography; Engineering","score_opus":0.054324513642038504,"score_gpt":0.26568233862131935,"score_spread":0.21135782497928085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309918608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71595746,0.00016877588,0.2817683,0.0013685619,0.0002706347,0.00023856845,0.000092227776,0.0000020334037,0.00013343537],"genre_scores_gemma":[0.9820093,0.0000142887975,0.017411163,0.00046580157,0.0000294979,0.000023013281,0.000029203307,0.000010108622,0.000007647304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99842036,0.00013239244,0.0011103199,0.00012353441,0.00011640964,0.00009697753],"domain_scores_gemma":[0.99818826,0.00043458637,0.001216311,0.00011198654,0.000021913855,0.000026945672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030090727,0.000079168145,0.00026005073,0.00010070433,0.00012311664,0.0000085115435,0.00013302373,0.000020835467,0.00033003755],"category_scores_gemma":[0.00022210977,0.00006354514,0.000091325135,0.00012156741,0.000032481606,0.00013528812,0.0000036637498,0.00022888715,0.0000035805792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016328398,0.00007874101,0.024243088,0.0000081660055,0.000018649524,9.2890417e-7,0.0015449702,0.92670006,0.000053572872,0.040659923,0.000012100381,0.00651652],"study_design_scores_gemma":[0.0012585805,0.00022706078,0.7114942,0.000020689778,0.000017904587,0.0000010116123,0.0014806088,0.2724337,0.000050602124,0.012711847,0.00023471359,0.00006905655],"about_ca_topic_score_codex":0.000072534924,"about_ca_topic_score_gemma":0.000023006376,"teacher_disagreement_score":0.68725115,"about_ca_system_score_codex":0.00018842737,"about_ca_system_score_gemma":0.000040748113,"threshold_uncertainty_score":0.36136797},"labels":[],"label_agreement":null},{"id":"W4310953138","doi":"10.1111/hex.13685","title":"Preferences of patients with chronic low back pain about nonsurgical treatments: Results of a discrete choice experiment","year":2022,"lang":"en","type":"article","venue":"Health Expectations","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Institut Universitaire en Santé Mentale de Québec; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Chronic pain; Medicine; Physical therapy; Psychology","score_opus":0.060931705595900644,"score_gpt":0.2607210752481287,"score_spread":0.19978936965222807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310953138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927966,0.0023664397,0.0004280898,0.00034504384,0.00009297374,0.00071408803,0.0014345349,0.0000091564225,0.0018130831],"genre_scores_gemma":[0.99807143,0.000093178525,0.00069843314,0.00005078624,0.000014545883,0.00030287006,0.00053871004,0.000012099054,0.00021792852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998659,0.00008575707,0.0007482594,0.0002706629,0.000064242726,0.00017204495],"domain_scores_gemma":[0.9988727,0.00012231401,0.00072050246,0.00021064005,0.0000110866395,0.000062787134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022117827,0.00009859512,0.00028686278,0.000103123326,0.00015714765,0.0000058258483,0.000099229655,0.000020424486,0.0008463131],"category_scores_gemma":[0.000027884704,0.0001020112,0.000053238153,0.00013338978,0.000056449815,0.000104270395,0.00003701162,0.00006228319,0.00003789729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004415622,0.0028147327,0.94176364,0.00027955676,0.00027721134,3.0695224e-7,0.026290996,0.014268961,0.000012579483,0.008860517,0.0017962906,0.0031936285],"study_design_scores_gemma":[0.006462642,0.0027706702,0.98057187,0.000052266347,0.000007926952,2.6916473e-7,0.0033581692,0.0028608546,0.00008512003,0.00046603443,0.0031150908,0.00024911243],"about_ca_topic_score_codex":0.0006938038,"about_ca_topic_score_gemma":0.00007689585,"teacher_disagreement_score":0.038808186,"about_ca_system_score_codex":0.00049477164,"about_ca_system_score_gemma":0.00006615643,"threshold_uncertainty_score":0.92665344},"labels":[],"label_agreement":null},{"id":"W4311339315","doi":"10.1016/j.jval.2022.09.1992","title":"PCR57 An Empirical Comparison of Data From Forced vs Non-Forced Choices in a Dual Response Discrete Choice Experiment, With Breast Cancer Patients in Six European Countries","year":2022,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Two-alternative forced choice; Multinomial logistic regression; Medicine; Task (project management); Payment; Breast cancer; Econometrics; Demography; Physical therapy; Actuarial science; Cancer; Statistics; Mathematics; Computer science; Economics; Internal medicine","score_opus":0.17818193928497023,"score_gpt":0.34239335676456256,"score_spread":0.16421141747959234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311339315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957329,0.0004576984,0.000030626783,0.00051735545,0.000118576885,0.00047624414,0.0025425667,0.0000077009045,0.000116315256],"genre_scores_gemma":[0.9986331,0.00011767465,0.0001924473,0.0003080265,0.000035045785,0.00006512487,0.00058748736,0.000031556192,0.00002956296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751157,0.00039046622,0.001092159,0.0005996847,0.00009216153,0.0003139798],"domain_scores_gemma":[0.9986403,0.00018987338,0.00061543344,0.0004643763,0.000005190921,0.000084803956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017270446,0.00015816733,0.0005162777,0.00026080117,0.00009337127,0.000024136709,0.0003212472,0.000035758632,0.00029948237],"category_scores_gemma":[0.000031777607,0.0001809563,0.000021712398,0.00022986619,0.0000618113,0.0005115007,0.000259799,0.00023168522,0.000017179018],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000986219,0.0003159438,0.96077704,0.000023183622,0.000009321963,0.0000014051008,0.004493692,0.033139482,0.0000072606567,0.000056290475,0.00007836353,0.000111804206],"study_design_scores_gemma":[0.0025623667,0.00045643086,0.9114689,0.000052913892,0.0000017448007,4.39613e-7,0.0007856758,0.083297394,0.000010720416,0.00003430153,0.0011525077,0.00017659273],"about_ca_topic_score_codex":0.07955632,"about_ca_topic_score_gemma":0.0059364545,"teacher_disagreement_score":0.07361987,"about_ca_system_score_codex":0.0009283078,"about_ca_system_score_gemma":0.00009522806,"threshold_uncertainty_score":0.926573},"labels":[],"label_agreement":null},{"id":"W4312017561","doi":"10.1007/s10640-022-00748-0","title":"Concerns for Long-Run Risks and Natural Resource Policy","year":2022,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Resource (disambiguation); Economics; Time consistency; Shadow price; Short run; Natural resource; Microeconomics; Computer science; Actuarial science; Mathematical optimization","score_opus":0.059482342436719064,"score_gpt":0.21761237550339924,"score_spread":0.15813003306668016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312017561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906663,0.0037891595,0.00007914176,0.0011606787,0.00013549674,0.00041832784,0.0007218203,0.000021258491,0.0030078609],"genre_scores_gemma":[0.9927345,0.00069689116,0.00017509823,0.0012368356,0.00025858555,0.000118758275,0.00024902527,0.000049090588,0.0044812323],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985248,0.000024859884,0.00047756225,0.0006144715,0.000027215294,0.0003311077],"domain_scores_gemma":[0.999268,0.00007050957,0.00029468443,0.00023341585,5.264695e-7,0.0001328761],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044603163,0.00021770604,0.0003356906,0.00013656303,0.00059804326,0.000060011764,0.00017040952,0.00007752506,0.0005057368],"category_scores_gemma":[0.000010009936,0.00027810482,0.00010278251,0.000028004051,0.00023736947,0.00015419116,0.00041403147,0.00022611559,0.00006927281],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023464834,0.00027070957,0.91446143,0.000047131758,0.00023649968,0.0000038416833,0.0026262647,0.0064000282,0.00013508221,0.05078194,0.002275387,0.02252704],"study_design_scores_gemma":[0.0021318817,0.00025643947,0.41136006,0.0000028539584,0.000018844701,0.00005182227,0.0018703232,0.0071560396,0.00006217084,0.0072862413,0.56921333,0.00058999204],"about_ca_topic_score_codex":0.000095793774,"about_ca_topic_score_gemma":0.000006784223,"teacher_disagreement_score":0.566938,"about_ca_system_score_codex":0.00046934516,"about_ca_system_score_gemma":0.000007850514,"threshold_uncertainty_score":0.9999671},"labels":[],"label_agreement":null},{"id":"W4312129922","doi":"10.1177/0272989x221145048","title":"A Comparison of Ordered Categorical versus Discrete Choices within a Stated Preference Survey of Whole-Blood Donors","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute for Health and Care Research","keywords":"Categorical variable; Preference; Blood donor; Discrete choice; Donation; Value (mathematics); Econometrics; Social psychology; Actuarial science; Psychology; Statistics; Economics; Mathematics; Medicine","score_opus":0.25853949112003316,"score_gpt":0.3382689019496059,"score_spread":0.07972941082957274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312129922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98397374,0.000516189,0.013795275,0.000049186445,0.0005150469,0.00014790763,0.0002011762,0.000011384744,0.00079007924],"genre_scores_gemma":[0.9987603,0.000048542384,0.000962421,0.000029140443,0.000014022842,0.00002134721,0.000097083466,0.000015142072,0.000052005253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977866,0.00011066963,0.0012919385,0.00036944187,0.00025335705,0.00018799526],"domain_scores_gemma":[0.9980724,0.0007054719,0.0008398967,0.00027314384,0.000019296218,0.000089833804],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021018845,0.00012348218,0.00055695965,0.00016332307,0.000111527814,0.000015329219,0.00041450936,0.00008313206,0.0028564143],"category_scores_gemma":[0.001150109,0.00013133358,0.000072953946,0.0003270921,0.00010823447,0.000106153464,0.00033230608,0.000271965,0.000043777894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049271213,0.00034599882,0.9794294,0.000021062835,0.00007926588,0.0000026262646,0.00072781526,0.0069232606,0.00002172851,0.004149137,0.00023421805,0.007572769],"study_design_scores_gemma":[0.0030856472,0.00063676597,0.9017608,0.000040204934,0.000020268162,0.0000024143255,0.00041953666,0.08782909,0.00006474239,0.0052432553,0.0006565509,0.0002407214],"about_ca_topic_score_codex":0.0011156623,"about_ca_topic_score_gemma":0.00046348787,"teacher_disagreement_score":0.080905825,"about_ca_system_score_codex":0.000106493884,"about_ca_system_score_gemma":0.000047990143,"threshold_uncertainty_score":0.9980551},"labels":[],"label_agreement":null},{"id":"W4312223812","doi":"10.1016/j.forpol.2022.102902","title":"Forest landowner demand for prescribed fire as an ecological management tool in Pennsylvania, USA","year":2022,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prescribed burn; Stewardship (theology); Willingness to pay; Land tenure; Acre; Forester; Quarter (Canadian coin); Business; Biodiversity; Forest management; Ecosystem services; Environmental resource management; Geography; Forestry; Ecosystem; Economics; Agroforestry; Ecology; Agriculture; Environmental science; Political science","score_opus":0.05920727537815463,"score_gpt":0.23371749168079872,"score_spread":0.1745102163026441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312223812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98938996,0.00011708176,0.00010559942,0.00056342536,0.00017381282,0.0007118334,0.00033664436,0.000015116564,0.008586512],"genre_scores_gemma":[0.9948508,0.00047220147,0.0004763653,0.0010375584,0.00015796818,0.0005784536,0.00018319102,0.000028932553,0.0022145014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984596,0.00002076961,0.00058314606,0.00052597484,0.000017112083,0.0003934146],"domain_scores_gemma":[0.99937046,0.000072194256,0.00021150129,0.00026172667,0.0000026198536,0.00008153161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006376581,0.00018075474,0.00034402873,0.00019268351,0.0002780935,0.000080765145,0.00023107522,0.00008441516,0.0006773968],"category_scores_gemma":[0.00003642446,0.00022044315,0.000087958346,0.00006110022,0.00006021108,0.00036380347,0.00024276768,0.00012007581,0.00015987974],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007925289,0.00020104296,0.40572935,0.000022212354,0.000032080417,0.0000021331764,0.00025519382,0.027031472,5.014337e-7,0.5653568,0.00034994655,0.00094002334],"study_design_scores_gemma":[0.0015196746,0.00036521678,0.6794335,0.0000028423792,0.000008635848,0.000011496881,0.0001827537,0.034966707,0.0000016937188,0.22856846,0.05461131,0.00032766015],"about_ca_topic_score_codex":0.0008484052,"about_ca_topic_score_gemma":0.0014465237,"teacher_disagreement_score":0.3367883,"about_ca_system_score_codex":0.00041562432,"about_ca_system_score_gemma":0.000023001363,"threshold_uncertainty_score":0.8989411},"labels":[],"label_agreement":null},{"id":"W4313701307","doi":"10.1016/j.jglr.2022.12.012","title":"Angler preferences for management of aquatic invasive species in the USA and Canada: A discrete choice experiment","year":2023,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of British Columbia","funders":"","keywords":"Respondent; Multinomial logistic regression; Fishery; Habitat; Geography; Fishing; Limiting; Stakeholder; Fish <Actinopterygii>; Environmental resource management; Ecology; Biology; Environmental science; Economics","score_opus":0.3040279194099307,"score_gpt":0.32931772080686056,"score_spread":0.02528980139692988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313701307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99550176,0.00057164987,0.000024368283,0.00075326156,0.000054416112,0.00023679838,0.000024132127,4.9637623e-7,0.002833118],"genre_scores_gemma":[0.9971321,0.0015174779,0.000093237155,0.000019182291,0.0000374969,0.000029185918,0.0000032000205,0.000004509408,0.0011635758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992078,0.000036571684,0.00038751957,0.000102387145,0.0001070735,0.00015867924],"domain_scores_gemma":[0.99935025,0.000341276,0.0001677114,0.000096567754,0.0000140597,0.000030121555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015150344,0.000052484465,0.00017872563,0.00018090647,0.000057401194,0.000029703202,0.00018444742,0.000019595484,0.000099801386],"category_scores_gemma":[0.00007655163,0.000038721562,0.000034844055,0.00013083885,0.00007258683,0.000111678026,0.000049024293,0.00008928656,0.00000800664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034909983,0.000034133023,0.987475,0.00010352379,0.00008615245,0.000009115191,0.0015501045,0.00018688143,0.000059793812,0.006696866,0.002996949,0.000766618],"study_design_scores_gemma":[0.0004712216,0.00017412048,0.98734826,0.000051442035,0.000004036873,0.0000018889815,0.0041451757,0.00029450087,0.00017467454,0.0039255344,0.003360203,0.000048957256],"about_ca_topic_score_codex":0.023848707,"about_ca_topic_score_gemma":0.13578868,"teacher_disagreement_score":0.111939974,"about_ca_system_score_codex":0.00015967767,"about_ca_system_score_gemma":0.00003603838,"threshold_uncertainty_score":0.9826516},"labels":[],"label_agreement":null},{"id":"W4315780910","doi":"10.1016/j.jmp.2022.102741","title":"A test of attribute normalization via a double decoy effect","year":2023,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Decoy; Normalization (sociology); Computer science; Econometrics; Logit; Mathematics; Statistics; Chemistry","score_opus":0.12140332948947001,"score_gpt":0.30694643257464804,"score_spread":0.18554310308517802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315780910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94582325,0.00013902542,0.046966165,0.0007324195,0.00029327,0.00012105259,0.000012171641,0.000010283823,0.0059023644],"genre_scores_gemma":[0.9986254,0.00010020133,0.00087595027,0.000116368035,0.00006361357,0.000004590644,0.0000051717616,0.0000130587405,0.00019567538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876034,0.000017693505,0.0009217421,0.00011246162,0.000037452257,0.00015031635],"domain_scores_gemma":[0.99885327,0.00022258238,0.00070523995,0.00014728664,0.000016404505,0.00005522147],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014982499,0.00007987344,0.0004221572,0.00021508506,0.000022809823,0.00000765063,0.00014282452,0.0000919398,0.0008016851],"category_scores_gemma":[0.00017907949,0.00007554783,0.00013327779,0.00017021758,0.00005512154,0.00013128447,0.00002592404,0.000100859455,0.0015628593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002673351,0.0010786965,0.9000233,0.00045415625,0.0003138697,0.00002966187,0.00089932245,0.0010386019,0.0033515599,0.076005176,0.013667725,0.0028706195],"study_design_scores_gemma":[0.007183923,0.0022164248,0.6481163,0.000113302776,0.000065735934,0.00033951478,0.000060030452,0.007923422,0.0018575549,0.3291424,0.002631611,0.00034979085],"about_ca_topic_score_codex":0.0000015236859,"about_ca_topic_score_gemma":3.9285533e-7,"teacher_disagreement_score":0.2531372,"about_ca_system_score_codex":0.000041893858,"about_ca_system_score_gemma":0.0000043496466,"threshold_uncertainty_score":0.99921453},"labels":[],"label_agreement":null},{"id":"W4316465835","doi":"10.1017/s0266462322000599","title":"Informing decision makers about public preferences for different modalities of cancer treatment in the Rhône–Alps region in France","year":2023,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Ligue Contre le Cancer","keywords":"Willingness to pay; Quarter (Canadian coin); Contingent valuation; Health care; Preference; Valuation (finance); Business; Modalities; Health economics; Family medicine; Actuarial science; Medicine; Public health; Public economics; Nursing; Economics; Finance; Geography; Economic growth; Sociology","score_opus":0.11670948128859573,"score_gpt":0.3603847154049431,"score_spread":0.24367523411634737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316465835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850936,0.0024377243,0.00041344197,0.011132362,0.0004557747,0.0003064826,0.00005199045,0.0000051174065,0.00010351135],"genre_scores_gemma":[0.9934219,0.005890909,0.00035736407,0.00012444287,0.000028574315,0.00013694694,0.000019538742,0.0000058607793,0.000014425067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856156,0.00001991919,0.001041731,0.0001325342,0.00007904266,0.00016518396],"domain_scores_gemma":[0.9989148,0.00014526371,0.00078551075,0.00009977037,0.000038178998,0.000016488237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005618137,0.00008665514,0.00029602688,0.0010325662,0.000028082157,0.000017760694,0.00034147533,0.0000905178,0.00001901254],"category_scores_gemma":[0.000057194236,0.00007229703,0.000065121596,0.00019404663,0.000043796204,0.0001956052,0.000036863792,0.00016614875,0.0000013900441],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019650317,0.00006839009,0.93848014,0.000029734323,0.00002282932,0.0000029763346,0.0014295974,0.0015345329,0.0000016046552,0.017596439,0.00002154894,0.040792566],"study_design_scores_gemma":[0.0014547687,0.00025269744,0.96441334,0.00023531637,0.0000014399818,0.000004433143,0.00929904,0.0014593697,0.00003110584,0.02104626,0.0017358998,0.00006630119],"about_ca_topic_score_codex":0.00051456736,"about_ca_topic_score_gemma":0.0012791586,"teacher_disagreement_score":0.040726267,"about_ca_system_score_codex":0.0013045999,"about_ca_system_score_gemma":0.0000987965,"threshold_uncertainty_score":0.34114835},"labels":[],"label_agreement":null},{"id":"W4317033283","doi":"10.1155/2023/9662990","title":"Assessing the Impacts of Stay-in-Place Policy of COVID-19 Pandemic during the Chinese Spring Festival: A Stated Preference Approach","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Homecoming; Mixed logit; Coronavirus disease 2019 (COVID-19); Context (archaeology); Preference; Pandemic; China; Latent class model; Geography; Demographic economics; Socioeconomics; Logistic regression; Economics; Transport engineering; Engineering; Medicine; History; Computer science","score_opus":0.09553086357983404,"score_gpt":0.31014950539468383,"score_spread":0.2146186418148498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317033283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968344,0.00027640382,0.0023524358,0.00020048121,0.000057484296,0.00016982165,0.00003132394,0.0000072188786,0.000070442875],"genre_scores_gemma":[0.9983447,0.0009922894,0.0005625191,0.000020517296,0.000029376268,0.00000516447,0.000011611415,0.000012452986,0.000021339009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873185,0.00003131561,0.0009075367,0.000119401906,0.000069616035,0.00014030597],"domain_scores_gemma":[0.9984116,0.00014493159,0.0012505488,0.00012470724,0.000020384878,0.00004781124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001043322,0.00009333745,0.00027241936,0.00024617897,0.000061224026,0.000014659404,0.00015491458,0.00003838071,0.0000118825055],"category_scores_gemma":[0.00016607824,0.00006801644,0.00008486858,0.00046278065,0.000056400942,0.00058392034,0.000005473241,0.00016640486,0.0000018488352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044562614,0.000025328993,0.66249406,0.00007756978,0.000021710304,9.0714576e-7,0.0029775358,0.3318845,0.001846209,0.0004215615,7.371402e-7,0.0002053128],"study_design_scores_gemma":[0.00096392975,0.000035794255,0.9926415,0.000035039597,0.000007962869,0.0000036341216,0.0018025454,0.0013415379,0.00016219277,0.0029144543,0.00002667127,0.000064714965],"about_ca_topic_score_codex":0.0002854912,"about_ca_topic_score_gemma":0.000110234345,"teacher_disagreement_score":0.33054295,"about_ca_system_score_codex":0.00022689358,"about_ca_system_score_gemma":0.00007353296,"threshold_uncertainty_score":0.27736297},"labels":[],"label_agreement":null},{"id":"W4318713663","doi":"10.2139/ssrn.4329050","title":"Size of Government and Willingness-to-Pay for Environmental Policy: Evidence from a Cross-Country Survey","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Willingness to pay; Government (linguistics); Public economics; Environmental policy; Cross country; Business; Economics; Demographic economics; Environmental economics; Macroeconomics","score_opus":0.050898384590025256,"score_gpt":0.2540812052320769,"score_spread":0.20318282064205162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318713663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99349624,0.0015136811,0.0031770924,0.0003384236,0.00015479556,0.00019397028,0.0010599168,0.0000073741494,0.00005852611],"genre_scores_gemma":[0.98931324,0.00816328,0.00013134968,0.000101095764,0.00017322462,0.00001764058,0.000025887866,0.000025946882,0.0020483413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827236,0.000019744877,0.00051743985,0.0003008991,0.00007346346,0.0008160881],"domain_scores_gemma":[0.999102,0.0003286495,0.0003331609,0.00015292103,0.000003833349,0.000079461635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025805717,0.0001298325,0.00026981122,0.00005277445,0.00012860612,0.000050298506,0.00017989204,0.000069054775,0.00007779558],"category_scores_gemma":[0.0003563441,0.00013433368,0.00007476974,0.000106776846,0.000054453303,0.00026447195,0.00007256157,0.00026392573,0.0001160535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074642136,0.000027558477,0.9908084,0.0000055051705,0.00008408475,1.7935463e-7,0.00016058807,0.00041049844,0.00043897872,0.0054984624,0.000054036274,0.002437045],"study_design_scores_gemma":[0.000585289,0.0001965719,0.9346167,0.0000143368425,0.000007301044,0.0000047409408,0.0002484545,0.0007486315,0.00014464324,0.062725484,0.0005547876,0.00015306467],"about_ca_topic_score_codex":0.0008608212,"about_ca_topic_score_gemma":0.00060056726,"teacher_disagreement_score":0.057227023,"about_ca_system_score_codex":0.0013499991,"about_ca_system_score_gemma":0.0001036551,"threshold_uncertainty_score":0.5477968},"labels":[],"label_agreement":null},{"id":"W4320006265","doi":"10.3982/qe1861","title":"Random utility and limited consideration","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; California Institute of Technology","keywords":"Contrast (vision); Set (abstract data type); Choice set; Econometrics; Population; Preference; Mixed logit; Computer science; Revealed preference; Logit; Frame (networking); Mathematical economics; Logistic regression; Economics; Mathematics; Statistics; Artificial intelligence; Machine learning","score_opus":0.2335246844077759,"score_gpt":0.26587837620149835,"score_spread":0.03235369179372244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320006265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98467356,0.00037057584,0.0020456861,0.0008686789,0.00029915787,0.00023229003,0.00014619595,0.00007262569,0.011291251],"genre_scores_gemma":[0.9963886,0.0011166917,0.0014317654,0.00026713955,0.00003436816,0.000030166157,0.000111448906,0.000020999601,0.00059879385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988557,0.000023798257,0.00051213644,0.00040034796,0.000010057896,0.00019797526],"domain_scores_gemma":[0.99928886,0.00022582583,0.00023334673,0.00017742463,0.000008473232,0.00006607108],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007824294,0.00012993398,0.00031157013,0.00017391103,0.00014261347,0.0000738146,0.00006574779,0.00007600375,0.00041422545],"category_scores_gemma":[0.00015805116,0.00016893423,0.00006181184,0.00009369684,0.00012837755,0.00038237957,0.00005271378,0.000077455355,0.0032144454],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004837294,0.000031772364,0.31085062,0.000016477632,0.00007707987,0.0000010968565,0.0009982088,0.00095569744,0.000029549341,0.6841563,0.0018083946,0.001026401],"study_design_scores_gemma":[0.0017893894,0.000090183494,0.6708102,0.000005553741,0.000007616716,0.0000028007082,0.0007133987,0.15153527,0.000106175445,0.16409874,0.010510269,0.00033036232],"about_ca_topic_score_codex":0.000056155455,"about_ca_topic_score_gemma":0.000037833037,"teacher_disagreement_score":0.52005756,"about_ca_system_score_codex":0.00007357687,"about_ca_system_score_gemma":0.000010034101,"threshold_uncertainty_score":0.9975617},"labels":[],"label_agreement":null},{"id":"W4320082066","doi":"10.1007/978-3-031-20719-8_6","title":"Behavioral Insights from Choice Models","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Multinomial logistic regression; Discrete choice; Mixed logit; Multinomial distribution; Econometrics; Logit; Estimation; Computer science; Logistic regression; Economics; Machine learning","score_opus":0.2550763877898594,"score_gpt":0.22323287370420158,"score_spread":0.03184351408565783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320082066","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09960591,0.0037875448,0.00024291404,0.000065222295,0.0010721437,0.00033621397,0.002210339,0.00006375867,0.892616],"genre_scores_gemma":[0.29090008,0.002030351,0.00058729196,0.00055287353,0.00042315965,0.00006035296,0.0020074348,0.00018475033,0.7032537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875534,0.0000042560687,0.0005134813,0.000546598,0.000040466613,0.00013987573],"domain_scores_gemma":[0.9990532,0.000041010266,0.0003891825,0.00044531736,0.0000035614064,0.000067769106],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000055952987,0.00023604759,0.0004112834,0.00014489544,0.00010425035,0.00005686646,0.00020189447,0.00021738697,0.019556608],"category_scores_gemma":[0.0000039000015,0.00032441595,0.00017278703,0.000011243569,0.00003863544,0.0004985557,0.0001594559,0.00029347808,0.0032554585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050382523,0.000047974172,0.0033220504,0.000004095821,0.00008136811,0.0000063822285,0.00025418997,0.0007950663,0.0000018412139,0.992752,0.0018776358,0.0008523635],"study_design_scores_gemma":[0.00026662415,0.000038435373,0.004757277,0.000008975281,0.000025864385,5.6316685e-7,0.000006203071,0.001416007,0.0000013925218,0.28673813,0.7063331,0.00040744492],"about_ca_topic_score_codex":0.001859482,"about_ca_topic_score_gemma":0.00012339241,"teacher_disagreement_score":0.70601386,"about_ca_system_score_codex":0.00042995354,"about_ca_system_score_gemma":0.00001024363,"threshold_uncertainty_score":0.9999208},"labels":[],"label_agreement":null},{"id":"W4320082103","doi":"10.1007/978-3-031-20719-8_7","title":"Non-proportional Substitution Patterns I: Generalized Extreme Value Models","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Multinomial logistic regression; Substitution (logic); Simple (philosophy); Discrete choice; Econometrics; Multinomial distribution; Mathematics; Value (mathematics); Extreme value theory; Statistics; Applied mathematics; Computer science","score_opus":0.2307023995603454,"score_gpt":0.21386654919171835,"score_spread":0.01683585036862706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320082103","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15132311,0.002076576,0.026403908,0.00029088612,0.0027179592,0.0011915799,0.0041642888,0.00012863961,0.8117031],"genre_scores_gemma":[0.38089263,0.004651997,0.0016990264,0.0007465916,0.00057484093,0.00014162349,0.0046584,0.00019145949,0.6064434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99836683,0.0000053958474,0.0007376589,0.00060539885,0.00007578971,0.00020891424],"domain_scores_gemma":[0.9989251,0.000014703112,0.0005730923,0.0004033781,0.000008287786,0.00007546986],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027127875,0.00027766393,0.00043473777,0.00020432567,0.00015720005,0.000056167686,0.00017738131,0.0002130336,0.022529492],"category_scores_gemma":[0.0000044649964,0.00037285677,0.0002491963,0.000015471162,0.00004733773,0.0004888418,0.00012213035,0.0002604,0.001654227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008927665,0.000025767153,0.0071259905,0.000014915553,0.00008050107,0.0000062416516,0.00004621078,0.015513423,0.0000027576825,0.9761505,0.0008699215,0.00015481378],"study_design_scores_gemma":[0.0012133033,0.00008095543,0.018585246,0.000043002296,0.000063862535,0.000016168528,0.000007711134,0.060398128,0.000011061156,0.46364805,0.4547114,0.001221092],"about_ca_topic_score_codex":0.00036656193,"about_ca_topic_score_gemma":0.000017946175,"teacher_disagreement_score":0.5125025,"about_ca_system_score_codex":0.00067545247,"about_ca_system_score_gemma":0.000026941721,"threshold_uncertainty_score":0.9998723},"labels":[],"label_agreement":null},{"id":"W4320082194","doi":"10.1007/978-3-031-20719-8_2","title":"Exploratory Data Analysis","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Discrete choice; Variety (cybernetics); Computer science; Exploratory analysis; Management science; Data science; Presentation (obstetrics); Interpretation (philosophy); Process (computing); Operations research; Engineering; Artificial intelligence; Machine learning","score_opus":0.37936343866391015,"score_gpt":0.22913695598788925,"score_spread":0.1502264826760209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320082194","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018874487,0.0029993984,0.0006737333,0.00010944071,0.0005109688,0.00018747602,0.0053716702,0.000046409627,0.9882135],"genre_scores_gemma":[0.03381263,0.0035647263,0.0005125951,0.00045223083,0.0001927063,0.000023408491,0.007941541,0.00009951973,0.9534006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865973,0.0000052018468,0.00049662945,0.0006761889,0.000034832738,0.0001274417],"domain_scores_gemma":[0.9981288,0.000033259323,0.00042137512,0.0013610197,0.0000026789583,0.00005288863],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033189866,0.00017663724,0.00045882622,0.00033315248,0.00009601245,0.00005369843,0.00045680846,0.0001222077,0.035905622],"category_scores_gemma":[0.000012723392,0.00024667836,0.00017201349,0.00004218418,0.00003880456,0.0004716261,0.00048404353,0.00020208172,0.0038263898],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046013906,0.000028545475,0.033443548,0.00001103795,0.0016180968,0.000009261802,0.00013371871,0.00070154853,2.6494166e-7,0.94805366,0.01539956,0.0005961816],"study_design_scores_gemma":[0.000108471824,0.000013704768,0.0053140563,0.0000023089412,0.00018905266,5.895231e-7,0.000011074176,0.0012714204,2.8188924e-7,0.016800141,0.97598296,0.00030595198],"about_ca_topic_score_codex":0.00010785227,"about_ca_topic_score_gemma":0.000040779494,"teacher_disagreement_score":0.9605834,"about_ca_system_score_codex":0.0002453385,"about_ca_system_score_gemma":0.000011549018,"threshold_uncertainty_score":0.99999857},"labels":[],"label_agreement":null},{"id":"W4320084500","doi":"10.1007/978-3-031-20719-8_3","title":"Fundamental Concepts","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Computer science","score_opus":0.18016827537684768,"score_gpt":0.22526517533244605,"score_spread":0.045096899955598374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320084500","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007350704,0.0015812068,0.000032635064,0.00015075943,0.00083721895,0.00022730631,0.0010158856,0.000037092832,0.9887672],"genre_scores_gemma":[0.07522278,0.0010913373,0.00015049364,0.00058857497,0.0001604332,0.000023786968,0.0005265375,0.000079389705,0.9221567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989441,0.0000032721662,0.0004459317,0.00041921396,0.000032561456,0.00015492606],"domain_scores_gemma":[0.9992504,0.000027896265,0.00035931158,0.00030347888,0.0000020561301,0.000056866822],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015093693,0.00019346982,0.0003378365,0.000111149886,0.00010377778,0.000047073478,0.00014533981,0.00013520636,0.08512443],"category_scores_gemma":[0.000006931827,0.0002744936,0.0001669465,0.000008846582,0.00006421375,0.00022213039,0.00013925496,0.00022920454,0.010187373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000386815,0.000014618996,0.009073559,0.0000069259336,0.00006908852,0.000004776333,0.00009948877,0.000040598152,9.1843197e-7,0.98362267,0.006556257,0.0005072419],"study_design_scores_gemma":[0.00023464495,0.000042775402,0.0045643584,0.0000061526866,0.000008694394,0.00000361667,0.000011168023,0.00004712842,0.0000015856083,0.03761767,0.9571639,0.00029836348],"about_ca_topic_score_codex":0.000079455676,"about_ca_topic_score_gemma":0.000007419263,"teacher_disagreement_score":0.9506076,"about_ca_system_score_codex":0.0005239028,"about_ca_system_score_gemma":0.000009269543,"threshold_uncertainty_score":0.99997073},"labels":[],"label_agreement":null},{"id":"W4320084522","doi":"10.1007/978-3-031-20719-8_5","title":"Practical Issues in the Specification and Estimation of Discrete Choice Models","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Estimation; Discrete choice; Computer science; Specification; Econometrics; Mathematics; Engineering; Machine learning; Systems engineering","score_opus":0.25325667916250927,"score_gpt":0.279894448457974,"score_spread":0.02663776929546474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320084522","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061654214,0.0042851777,0.0092501845,0.006420129,0.0003723136,0.0014891534,0.0006868344,0.000027293772,0.9158147],"genre_scores_gemma":[0.93071157,0.0075378856,0.004034454,0.00021326667,0.00011041196,0.000055721146,0.0004365931,0.000052650375,0.05684744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99928844,0.000010174648,0.00038761942,0.00021744551,0.00003409639,0.000062200765],"domain_scores_gemma":[0.99930054,0.0001210082,0.00034549352,0.00021752747,0.000002473007,0.000012931495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003720407,0.000092865,0.00019722761,0.0000923716,0.000035628593,0.000028901874,0.000072055795,0.00007661549,0.0007626431],"category_scores_gemma":[0.000037813305,0.00009600313,0.000037049587,0.000013780365,0.000045186287,0.00040519304,0.0000399998,0.00015077874,0.000069513575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040463256,0.000013559932,0.0020210666,0.000012289212,0.000011481757,4.224035e-7,0.00034801132,0.0019390115,3.216556e-7,0.9946916,0.0004075124,0.00055068044],"study_design_scores_gemma":[0.00044379773,0.0000966739,0.08183838,0.00003757029,0.000032561038,0.0000072064754,0.000112894406,0.09843681,0.0000038295757,0.59035647,0.22824161,0.00039218247],"about_ca_topic_score_codex":0.00021553958,"about_ca_topic_score_gemma":0.000019979367,"teacher_disagreement_score":0.86905736,"about_ca_system_score_codex":0.00009130374,"about_ca_system_score_gemma":0.000004862541,"threshold_uncertainty_score":0.83504075},"labels":[],"label_agreement":null},{"id":"W4320084648","doi":"10.1007/978-3-031-20719-8_9","title":"Dealing with Heterogeneity I: The Latent Class Logit Model","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Latent class model; Logit; Class (philosophy); Mixed logit; Logistic regression; Econometrics; Statistics; Computer science; Mathematics; Artificial intelligence","score_opus":0.23812908261406232,"score_gpt":0.20709733919871393,"score_spread":0.031031743415348395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320084648","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13016546,0.0025819873,0.003999471,0.0011064931,0.0005078624,0.0009124042,0.0012849262,0.00008934104,0.85935205],"genre_scores_gemma":[0.74273914,0.002663299,0.0007250181,0.0012927089,0.00012508342,0.00006141443,0.0002612923,0.0001476622,0.25198436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989781,0.0000042786446,0.00038939473,0.00041770068,0.00004225353,0.00016830608],"domain_scores_gemma":[0.9990943,0.000030658255,0.0003818638,0.00044442332,0.00000445786,0.00004429017],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024489692,0.00021174666,0.00030221074,0.00006850408,0.00017750442,0.000055783355,0.00020016826,0.00012177673,0.0021385083],"category_scores_gemma":[0.000004213782,0.0001902295,0.00013561964,0.000009611023,0.000064657586,0.00014496378,0.00013671847,0.00028222546,0.00073078176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013232383,0.000013571663,0.009905422,0.000008539175,0.00013999295,0.0000034266634,0.00008354169,0.082574986,6.7237863e-7,0.9065674,0.00036597464,0.00032324292],"study_design_scores_gemma":[0.0009006467,0.00020677903,0.009875796,0.000039625116,0.0001124128,0.000022093185,0.000021158981,0.10964856,0.000015214661,0.14292721,0.73490846,0.0013220282],"about_ca_topic_score_codex":0.00008624806,"about_ca_topic_score_gemma":0.00006415943,"teacher_disagreement_score":0.76364017,"about_ca_system_score_codex":0.00030715115,"about_ca_system_score_gemma":0.00001152632,"threshold_uncertainty_score":0.9987737},"labels":[],"label_agreement":null},{"id":"W4320483817","doi":"10.1007/s40271-023-00615-0","title":"Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment","year":2023,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Innovative Medicines Initiative; Newcastle University; Muscular Dystrophy Canada; Wellcome Trust; Lily Foundation; United Mitochondrial Disease Foundation; Muscular Dystrophy Association","keywords":"Mixed logit; Multinomial logistic regression; Latent class model; Discrete choice; Framing effect; Cognition; Preference; Statistics; Multinomial distribution; Econometrics; Psychology; Logistic regression; Mathematics; Social psychology; Psychiatry","score_opus":0.12741423824868192,"score_gpt":0.27471838651003083,"score_spread":0.1473041482613489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320483817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983462,0.00017164444,0.0005943089,0.00013885838,0.00007122804,0.00042442846,0.000065558525,0.00002028237,0.00016750675],"genre_scores_gemma":[0.9994033,0.000042380216,0.00017773535,0.000052349118,0.00001520701,0.00019461024,0.000058886526,0.000014408011,0.00004112183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991894,0.000010816936,0.00033678664,0.00030954072,0.000026160824,0.00012731823],"domain_scores_gemma":[0.999441,0.000021093583,0.00012749202,0.00025270018,0.0000036188173,0.00015408818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008419214,0.00010445415,0.00021109468,0.00009619696,0.00007206933,0.000018164243,0.000044366632,0.000018119208,0.000020676629],"category_scores_gemma":[0.000014266135,0.00011001294,0.000048515165,0.000070742826,0.000021045169,0.00009343258,0.000057303634,0.000018748502,0.00014641989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009964908,0.00017661194,0.98491687,0.000011346155,0.000024890189,0.000006238151,0.0016920273,0.008096572,0.000053824882,0.0013741493,0.000006316746,0.0036311792],"study_design_scores_gemma":[0.00048476487,0.0002793186,0.94913936,0.0000063634225,0.000017526168,0.0000020755697,0.00050662085,0.047500234,0.00025654866,0.00034314388,0.0012843651,0.00017970594],"about_ca_topic_score_codex":0.00083150517,"about_ca_topic_score_gemma":0.00003884035,"teacher_disagreement_score":0.039403662,"about_ca_system_score_codex":0.00011843302,"about_ca_system_score_gemma":0.0000028487596,"threshold_uncertainty_score":0.44861972},"labels":[],"label_agreement":null},{"id":"W4322211614","doi":"10.5194/egusphere-egu23-15603","title":"Using choice experiment to inform water conservation initiatives under different water scarcity backgrounds to improve water security","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Water conservation; Water scarcity; Water security; Willingness to pay; Water supply; Water resources; Environmental planning; Business; Metropolitan area; Water resource management; Environmental resource management; Geography; Environmental science; Economics; Environmental engineering; Ecology","score_opus":0.2504465629840298,"score_gpt":0.2999862699594568,"score_spread":0.049539706975427034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322211614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97956014,0.00001845694,0.010331505,0.003843261,0.0016523679,0.0012816514,0.00018901429,0.00009804022,0.0030255637],"genre_scores_gemma":[0.9926864,0.000023883089,0.00063633255,0.0025037907,0.00025098523,0.0003821251,0.0008467609,0.00008468685,0.0025850344],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99682117,0.000032319338,0.0012252141,0.0010824034,0.00009997123,0.0007389419],"domain_scores_gemma":[0.99886125,0.00003257068,0.00015479536,0.00067681744,0.00003531467,0.00023926428],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00068880245,0.000527727,0.000750484,0.00038921385,0.00023318258,0.00031835478,0.00034963308,0.0003595522,0.0030014713],"category_scores_gemma":[0.000014193481,0.0003839152,0.00022315478,0.00004882736,0.0000561455,0.00050374004,0.0019887597,0.00033765213,0.006054182],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004878597,0.0018353417,0.6374607,0.0015797376,0.0026853273,0.000010131217,0.12518363,0.09208346,0.089408614,0.04412886,0.0045175496,0.00061877375],"study_design_scores_gemma":[0.0020467814,0.0003699427,0.36309752,0.00013200926,0.00007654257,0.0000020956072,0.0021679115,0.025420032,0.51267296,0.08179427,0.009006669,0.0032132505],"about_ca_topic_score_codex":0.0027513923,"about_ca_topic_score_gemma":0.0002804027,"teacher_disagreement_score":0.42326435,"about_ca_system_score_codex":0.0014588874,"about_ca_system_score_gemma":0.000012161001,"threshold_uncertainty_score":0.9998613},"labels":[],"label_agreement":null},{"id":"W4323295026","doi":"10.1037/rev0000416","title":"Suboptimal choice: A review and quantification of the signal for good news (SiGN) model.","year":2023,"lang":"en","type":"review","venue":"Psychological Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sign (mathematics); PsycINFO; Set (abstract data type); Phenomenon; Food choice; Computer science; Cognitive psychology; Psychology; Econometrics; Medicine; MEDLINE; Economics; Mathematics; Biology","score_opus":0.5347699009894432,"score_gpt":0.4051835643160559,"score_spread":0.12958633667338731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323295026","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000026353225,0.99253154,0.0013436059,0.00070671295,0.00012860697,0.0036633264,0.00038972058,0.000020424308,0.0012134577],"genre_scores_gemma":[0.000012066958,0.99615926,0.0004478514,0.0012455435,0.000052162766,0.001081713,0.00013777337,0.000044285676,0.00081934483],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99694884,0.0000938497,0.0019239276,0.0007569024,0.00004012981,0.00023635205],"domain_scores_gemma":[0.99728614,0.00024766845,0.0017288111,0.0006519478,0.000015264943,0.000070180475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016526463,0.00033202642,0.0025381034,0.000055826786,0.00007353331,0.00001830212,0.0004918125,0.00023688619,0.0003602249],"category_scores_gemma":[0.00040491906,0.0002323898,0.0008490431,0.0002906739,0.000107233995,0.000079427846,0.000105180945,0.0002478267,0.0004971674],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015576875,0.00013228279,0.00012513543,0.23378965,0.00013749878,1.280563e-7,0.0000040671857,0.000006622933,9.032227e-8,0.031175463,0.012697643,0.72192985],"study_design_scores_gemma":[0.00012858381,0.00006306728,0.0002823339,0.038419046,0.0007203182,0.0000049565465,5.414891e-7,0.0001105958,2.8239462e-8,0.0040322146,0.9559365,0.00030181353],"about_ca_topic_score_codex":0.0000065081813,"about_ca_topic_score_gemma":0.0000018972643,"teacher_disagreement_score":0.94323885,"about_ca_system_score_codex":0.00007894194,"about_ca_system_score_gemma":0.000016475686,"threshold_uncertainty_score":0.94765806},"labels":[],"label_agreement":null},{"id":"W4323338169","doi":"10.3368/le.040721-0036r","title":"Quality over Quantity: Nonmarket Values of Restoring Coastal Dunes in the U.S. Pacific Northwest","year":2022,"lang":"en","type":"article","venue":"Land Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Centers for Coastal Ocean Science; U.S. Fish and Wildlife Service; Oregon State University; National Oceanic and Atmospheric Administration; U.S. Department of Commerce","keywords":"Recreation; Nonmarket forces; Willingness to pay; Quality (philosophy); Ecosystem; Restoration ecology; Environmental resource management; Water quality; Welfare; Geography; Natural resource economics; Environmental protection; Environmental science; Ecology; Economics","score_opus":0.09049657169620626,"score_gpt":0.23655314374167735,"score_spread":0.1460565720454711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323338169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98886245,0.00025245917,0.000025970221,0.00020471493,0.00041471652,0.00015890793,0.0005577475,0.00000774931,0.00951529],"genre_scores_gemma":[0.9989733,0.00036081922,0.000072499104,0.000120467426,0.0000650854,0.00004083804,0.00011188812,0.000015763273,0.00023933525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868983,0.000061067156,0.0007196236,0.00030100349,0.000029468169,0.00019902714],"domain_scores_gemma":[0.99907804,0.000117206895,0.0004130195,0.000361701,0.0000026153352,0.000027426959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019528699,0.00011619737,0.00033474242,0.00011509438,0.00015830535,0.000034496705,0.00027364717,0.000041651943,0.0007448324],"category_scores_gemma":[0.00002187495,0.00012649858,0.0001049697,0.00007318151,0.000056769233,0.00021439316,0.00013380263,0.000160526,0.00007027443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027600392,0.000088765926,0.9728277,0.0000118247035,0.000017496353,7.069809e-7,0.00084512675,0.0043716547,0.0000025093602,0.021587187,0.0000863,0.00013315857],"study_design_scores_gemma":[0.0005472185,0.000048851598,0.9780151,0.0000017650726,0.0000029353514,0.0000030082358,0.0011957266,0.001640484,0.000005461167,0.00892143,0.0094547365,0.00016326888],"about_ca_topic_score_codex":0.0035861798,"about_ca_topic_score_gemma":0.004145393,"teacher_disagreement_score":0.012665756,"about_ca_system_score_codex":0.0001013526,"about_ca_system_score_gemma":0.000013910185,"threshold_uncertainty_score":0.81553924},"labels":[],"label_agreement":null},{"id":"W4323652400","doi":"10.1161/jaha.122.028492","title":"Preferences of Patients With Chronic Kidney Disease for Invasive Versus Conservative Treatment of Acute Coronary Syndrome: A Discrete Choice Experiment","year":2023,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Acute coronary syndrome; Kidney disease; Internal medicine; Conservative treatment; Cardiology; Disease; Kidney; Intensive care medicine; Myocardial infarction; Surgery","score_opus":0.05786983580546233,"score_gpt":0.2634693913541509,"score_spread":0.20559955554868853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323652400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804306,0.00007814328,0.000020862823,0.0007021729,0.00019768985,0.0003369608,0.000604023,0.00000253843,0.000014548826],"genre_scores_gemma":[0.9993772,0.00022550915,0.00014082759,0.00004637834,0.000023723931,0.000029975416,0.00003474623,0.000009107428,0.000112556925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922746,0.000040874856,0.00044027466,0.00010279069,0.000076752054,0.00011181496],"domain_scores_gemma":[0.99775934,0.00029382476,0.0017360137,0.0001055508,0.000046758418,0.0000585213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020541274,0.00008169375,0.00041319657,0.00007044666,0.000049677335,0.000007068294,0.00008683384,0.000017565904,0.00002123366],"category_scores_gemma":[0.00016102479,0.000062505,0.00017032483,0.000136083,0.0000674577,0.00015229157,0.000019349776,0.00003116559,0.000006334661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039600924,0.000111229114,0.99764603,0.000009666218,0.0005618276,1.4477469e-7,0.00032642818,0.000337424,0.000044821034,0.000044051885,0.0004585338,0.00006383624],"study_design_scores_gemma":[0.0022931928,0.0024243237,0.99398273,0.00002876266,0.00010156069,2.161602e-7,0.000114502065,0.00018248969,0.00032177632,0.00023547916,0.000249528,0.00006540897],"about_ca_topic_score_codex":0.00010495789,"about_ca_topic_score_gemma":0.000011508744,"teacher_disagreement_score":0.003663268,"about_ca_system_score_codex":0.000989027,"about_ca_system_score_gemma":0.00010711247,"threshold_uncertainty_score":0.25862712},"labels":[],"label_agreement":null},{"id":"W4352976810","doi":"10.5751/es-13898-280145","title":"Visual representations in a choice experiment: valuing preferences for a local dam","year":2023,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Rhode Island Agricultural Experiment Station; National Science Foundation","keywords":"Willingness to pay; Ranking (information retrieval); Preference; Contrast (vision); Environmental resource management; Environmental economics; Computer science; Economics; Microeconomics; Artificial intelligence","score_opus":0.11227679008080282,"score_gpt":0.3057897893432596,"score_spread":0.1935129992624568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4352976810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964865,0.00018550202,0.0012501556,0.00027936706,0.00017152178,0.0001963409,0.000016330065,0.000019985855,0.0013943359],"genre_scores_gemma":[0.99833536,0.00025730938,0.00033844434,0.00018575051,0.000045281486,0.0001914738,0.000042468528,0.000006224716,0.00059769186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993675,0.000010046736,0.00022120294,0.00023712944,0.000008505715,0.00015564298],"domain_scores_gemma":[0.999695,0.00015305744,0.000068183326,0.000057019595,0.0000024185597,0.000024315685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037922873,0.000056025667,0.00013982179,0.000038140268,0.00011856635,0.000013311129,0.000043115044,0.000090101355,0.000117225085],"category_scores_gemma":[0.00003303781,0.00006938502,0.00005484649,0.00007320434,0.000078599034,0.00011609919,0.000038604976,0.000055643734,0.00010165478],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033732815,0.000045582077,0.98244435,0.000012086754,0.000028178327,1.6988953e-7,0.0036616195,0.0007682117,0.000021149466,0.010894471,0.0016744843,0.00044630902],"study_design_scores_gemma":[0.00059534813,0.00005394236,0.94973874,0.0000021472588,0.0000024581968,3.1830115e-7,0.0024511889,0.030936832,0.00003211412,0.015217413,0.00088768895,0.00008182422],"about_ca_topic_score_codex":0.000062451625,"about_ca_topic_score_gemma":0.00009208591,"teacher_disagreement_score":0.03270564,"about_ca_system_score_codex":0.00006636547,"about_ca_system_score_gemma":0.000006844453,"threshold_uncertainty_score":0.2829439},"labels":[],"label_agreement":null},{"id":"W4360603447","doi":"10.1186/s12888-023-04676-1","title":"A scoping review on two-stage randomized preference trial in the field of mental health and addiction","year":2023,"lang":"en","type":"review","venue":"BMC Psychiatry","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Randomized controlled trial; Blinding; Mental health; Generalizability theory; Addiction; Medicine; Psychological intervention; Preference; Population; Clinical psychology; Psychology; Psychiatry; Surgery; Environmental health","score_opus":0.28515677442162835,"score_gpt":0.3774310978279159,"score_spread":0.09227432340628755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360603447","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001032679,0.9917715,0.00004547257,0.0003104048,0.00093198783,0.00544664,0.00012446067,0.000009899614,0.0012563586],"genre_scores_gemma":[0.000017640774,0.99810165,0.00015289868,0.00074408547,0.00012240357,0.00058191654,0.0001350863,0.000020981064,0.00012336147],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99756575,0.00027227314,0.00159267,0.00037487686,0.00004350022,0.00015093699],"domain_scores_gemma":[0.9979366,0.00038468398,0.0013352539,0.0003063099,0.0000015413108,0.000035633646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028155656,0.00020263977,0.001936775,0.00017117341,0.00005605177,0.000018619196,0.00017839271,0.00010139846,0.0001359607],"category_scores_gemma":[0.00018798577,0.00016119286,0.00034627478,0.00015424717,0.000036846148,0.000062024454,0.00003829207,0.00021703873,0.00012362846],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.030565774,0.0009156879,0.0035317433,0.5712433,0.0006314741,3.1267086e-7,0.0009964964,0.0000214893,3.3169791e-9,0.118213356,0.019774796,0.25410557],"study_design_scores_gemma":[0.27685025,0.0008465095,0.00013338223,0.618628,0.00020956366,0.0000047016556,0.00011760955,0.00013692142,1.514435e-8,0.003354552,0.09896695,0.0007515284],"about_ca_topic_score_codex":0.000118550466,"about_ca_topic_score_gemma":0.00016156943,"teacher_disagreement_score":0.25335404,"about_ca_system_score_codex":0.00008460748,"about_ca_system_score_gemma":0.00013225309,"threshold_uncertainty_score":0.6573254},"labels":[],"label_agreement":null},{"id":"W4360619180","doi":"10.1177/03611981231158643","title":"Simultaneous Capturing of a Flexible Substitution Pattern and the Complementary/Supplementary Relationship in a Consideration Set in Mode Choice Modeling by Using Stated Preference Data","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Choice set; Set (abstract data type); Substitution (logic); Econometrics; Discrete choice; Revealed preference; Preference; Mixed logit; Logit; Data set; Mode (computer interface); Probabilistic logic; Computer science; Econometric model; Mode choice; Logistic regression; Mathematics; Statistics; Artificial intelligence; Machine learning; Engineering","score_opus":0.5222115286137348,"score_gpt":0.4004994152061128,"score_spread":0.12171211340762195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360619180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99079835,0.00025005007,0.00537196,0.0015187104,0.00009908608,0.00088966655,0.0010539133,0.000005751697,0.000012523369],"genre_scores_gemma":[0.99835634,0.00066685927,0.00034894623,0.000022020819,0.000026199581,0.000034221248,0.00049254723,0.000019293679,0.000033596792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99665153,0.0004718203,0.0016685922,0.00035811862,0.00044802134,0.0004019216],"domain_scores_gemma":[0.99773765,0.0012193474,0.00045926718,0.00034355302,0.00016353712,0.00007664695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005809948,0.000130508,0.0003487703,0.0007560812,0.00025510354,0.00006025015,0.00047915033,0.000078107565,0.00014483684],"category_scores_gemma":[0.00020121853,0.00011402042,0.00006396836,0.000909295,0.0003106852,0.000662403,0.000020756837,0.0007863708,0.0000054256207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002844354,0.000055143533,0.77716225,0.00007457213,0.000036076002,0.0000066933094,0.003749262,0.21660765,0.0001468618,0.0014255409,0.00013660036,0.00031490004],"study_design_scores_gemma":[0.0028508885,0.00006268192,0.5517313,0.00014571461,0.000012707703,2.5222715e-7,0.0028118335,0.43541002,0.000063328036,0.006702715,0.00010754441,0.00010102874],"about_ca_topic_score_codex":0.109234706,"about_ca_topic_score_gemma":0.09308789,"teacher_disagreement_score":0.22543098,"about_ca_system_score_codex":0.00029025134,"about_ca_system_score_gemma":0.00010942833,"threshold_uncertainty_score":0.9234609},"labels":[],"label_agreement":null},{"id":"W4362587375","doi":"10.1111/csp2.12921","title":"Decision biases and environmental attitudes among conservation professionals","year":2023,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Amorfix (Canada); University of Toronto; Natural Resources Canada; Ontario Forest Research Institute; Canadian Forest Service","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Sample (material); Scale (ratio); Psychology; Resource (disambiguation); Conservation psychology; Government (linguistics); Commission; Environmental resource management; Applied psychology; Social psychology; Ecology; Biodiversity; Business; Geography; Economics; Computer science","score_opus":0.24510038592895295,"score_gpt":0.3322434538132479,"score_spread":0.08714306788429493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362587375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906666,0.00032851464,0.0002991352,0.0068111736,0.00019054335,0.00020275704,0.000028942037,0.00003136141,0.001440958],"genre_scores_gemma":[0.9942894,0.0009427159,0.0009236664,0.0032481526,0.000024042742,0.000026286236,0.00003756333,0.0000074338705,0.00050072797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989584,0.000030117153,0.00034139518,0.00039741854,0.00010897167,0.00016371609],"domain_scores_gemma":[0.9983734,0.0010867042,0.00028266074,0.0001525553,0.000023797209,0.00008087607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034073743,0.000089300745,0.00012833235,0.00021156421,0.00045258133,0.00015571297,0.000096707765,0.00005208852,0.000131108],"category_scores_gemma":[0.002877769,0.00009762018,0.000014089751,0.0003509441,0.0004942172,0.002652295,0.000121872115,0.00007008717,0.00031244115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019102336,0.000040389525,0.9834801,0.0000072560915,0.0000071234235,0.000001255532,0.00045764257,0.000022572736,0.0006554904,0.009878628,0.0026479855,0.002782486],"study_design_scores_gemma":[0.00026702287,0.000029834058,0.97054124,0.000020811218,0.0000048983293,0.000008767794,0.0009785162,0.010723331,0.0000944523,0.002861635,0.01434251,0.00012696671],"about_ca_topic_score_codex":0.0001446117,"about_ca_topic_score_gemma":0.00001465397,"teacher_disagreement_score":0.012938813,"about_ca_system_score_codex":0.00007619244,"about_ca_system_score_gemma":0.00003373264,"threshold_uncertainty_score":0.40159032},"labels":[],"label_agreement":null},{"id":"W4362676224","doi":"10.1371/journal.pclm.0000169","title":"Going beyond market-based mechanisms to finance nature-based solutions and foster sustainable futures","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of Oxford","keywords":"Convention on Biological Diversity; Corporate governance; Economics; Market failure; Futures contract; Business; Finance; Public economics; Biodiversity","score_opus":0.046723790930305986,"score_gpt":0.21096553360759787,"score_spread":0.16424174267729189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362676224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977431,0.0005894769,0.0028960106,0.0037984292,0.0002817617,0.0005646372,0.00029641233,0.00014040901,0.014001849],"genre_scores_gemma":[0.9934491,0.00013747317,0.0023870547,0.002116651,0.000045641165,0.00013590445,0.00007233016,0.000036225258,0.0016196459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986449,0.000016014506,0.00033092315,0.00043074018,0.000038779788,0.0005386453],"domain_scores_gemma":[0.9994381,0.00008160622,0.0001361087,0.00025647748,0.000011023145,0.000076658165],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00062695204,0.00015398415,0.00024277168,0.0002470227,0.00035264375,0.000087622204,0.00012324603,0.0001310431,0.0003710098],"category_scores_gemma":[0.00007078187,0.00018832856,0.00006429669,0.00021938476,0.000032149397,0.00019670694,0.00012737617,0.00013799054,0.001139089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021415815,0.00036844928,0.10307907,0.00074581156,0.00012057123,0.00004391154,0.0006814563,0.014301016,0.0016997093,0.8509585,0.02611782,0.0016694946],"study_design_scores_gemma":[0.002983764,0.00038713828,0.49408588,0.00012845937,0.000053107764,0.0000025241147,0.0008757456,0.3374973,0.0055587348,0.12919834,0.027815504,0.0014135219],"about_ca_topic_score_codex":0.000013564335,"about_ca_topic_score_gemma":0.000016136037,"teacher_disagreement_score":0.7217602,"about_ca_system_score_codex":0.0001606583,"about_ca_system_score_gemma":0.000012509982,"threshold_uncertainty_score":0.9996386},"labels":[],"label_agreement":null},{"id":"W4365449640","doi":"10.1016/j.trb.2023.03.010","title":"Rational inattention in discrete choice models: Estimable specifications of RI-multinomial logit (RI-MNL) and RI-nested logit (RI-NL) models","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mixed logit; Discrete choice; Multinomial logistic regression; Nested logit; Econometrics; Bayesian probability; Multinomial distribution; Logit; Mathematics; Computer science; Logistic regression; Statistics","score_opus":0.8774188962642577,"score_gpt":0.4427166756433304,"score_spread":0.43470222062092734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365449640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8334761,0.00022870275,0.16188736,0.0012013186,0.00011504451,0.00076015736,0.00041243207,0.00005884433,0.001859985],"genre_scores_gemma":[0.98065245,0.00097507896,0.01611728,0.000038446593,0.00007155207,0.0003036801,0.0009907807,0.000025129802,0.00082560815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.996798,0.00046847662,0.0012402488,0.00078825315,0.00020679292,0.0004982497],"domain_scores_gemma":[0.99766,0.0014848628,0.0003257355,0.00030726494,0.00008067179,0.00014147816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006007808,0.00020567511,0.00054964516,0.00055651995,0.00021561634,0.00005529149,0.0002509299,0.00026643873,0.0005593202],"category_scores_gemma":[0.00052438735,0.00022183957,0.00012529918,0.000666953,0.00038558093,0.00074931444,0.000037567166,0.00043280664,0.00018427228],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025442688,0.00033563277,0.32500234,0.00011385419,0.000067750174,0.000009844905,0.0009177353,0.35398012,0.000566565,0.31462887,0.00060694054,0.0035159288],"study_design_scores_gemma":[0.0009131433,0.00009835856,0.5659511,0.000020866963,0.000008027776,6.305995e-7,0.00023640768,0.30016613,0.00007355761,0.13191645,0.00042955295,0.00018576779],"about_ca_topic_score_codex":0.00074421463,"about_ca_topic_score_gemma":0.0003418777,"teacher_disagreement_score":0.24094875,"about_ca_system_score_codex":0.00017282234,"about_ca_system_score_gemma":0.000041198095,"threshold_uncertainty_score":0.9046355},"labels":[],"label_agreement":null},{"id":"W4365998840","doi":"10.20944/preprints202304.0330.v1","title":"Assigning Unit Values in Ecosystem Services Valuation: A Comparative Analysis of Global, Regional, and Local Unit Values for Three Ecosystem Services in the Grand River Watershed, Ontario, Canada","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Global Water Futures; Canada First Research Excellence Fund","keywords":"Ecosystem services; Watershed; Geography; Unit (ring theory); Environmental science; Land cover; Hydrology (agriculture); Ecosystem; Catch per unit effort; Population; Valuation (finance); Land use; Forestry; Physical geography; Ecology; Economics; Mathematics; Abundance (ecology); Geology","score_opus":0.2850476807244646,"score_gpt":0.30464709053756267,"score_spread":0.019599409813098045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365998840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958164,0.00042591445,0.00047138386,0.00027129153,0.00022415462,0.001323217,0.0008121537,0.00001830697,0.0006371558],"genre_scores_gemma":[0.99850845,0.00010746268,0.000085980726,0.00008346688,0.000035220546,0.00035489304,0.00071070547,0.00002013995,0.00009367408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967895,0.00020369477,0.0014694899,0.0010374064,0.00016699109,0.0003328967],"domain_scores_gemma":[0.9977358,0.0002815636,0.0011300994,0.0007191512,0.00006288451,0.00007048707],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027878461,0.0003848544,0.0012490413,0.00037422206,0.00013655964,0.00006233484,0.00070333795,0.0002510961,0.00014474792],"category_scores_gemma":[0.000012247313,0.0003877338,0.00020777031,0.00044968261,0.00007702031,0.00024303173,0.0005165361,0.0003121593,0.000055517445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004441323,0.00005045149,0.84593534,0.00047105,0.0007480817,0.0000019653232,0.007989909,0.14370236,0.0000010123475,0.0010284758,0.00001062228,0.00001629613],"study_design_scores_gemma":[0.0007228404,0.000019985479,0.878402,0.00025238263,0.00025315632,0.0000011165241,0.0043583736,0.0991458,0.000016047481,0.016219916,0.00029151444,0.00031685797],"about_ca_topic_score_codex":0.7889894,"about_ca_topic_score_gemma":0.9917338,"teacher_disagreement_score":0.20274435,"about_ca_system_score_codex":0.0012887454,"about_ca_system_score_gemma":0.00018759789,"threshold_uncertainty_score":0.9998575},"labels":[],"label_agreement":null},{"id":"W4366003043","doi":"10.5539/ijef.v15n5p54","title":"The Use of Information Technology in Environmental Management: The Case of Brazilian Amazon Forest","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Deforestation (computer science); Counterfactual thinking; Government (linguistics); Commodity; Rainforest; Natural resource economics; Geography; Agricultural economics; Business; Economics; Ecology; Finance","score_opus":0.03715807195970626,"score_gpt":0.2034084147269302,"score_spread":0.16625034276722395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366003043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758565,0.0003114769,0.00011467385,0.0013582504,0.0002713757,0.00008191672,0.00008061826,0.0000010342457,0.00019500028],"genre_scores_gemma":[0.9825227,0.017056199,0.0002774747,0.000044925087,0.00001832485,0.0000044011654,0.0000059000026,0.0000042837873,0.00006574019],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990675,0.0000058675473,0.0007596287,0.000069439564,0.00001545589,0.00008214225],"domain_scores_gemma":[0.9989385,0.00007225806,0.0008609953,0.00010943203,0.000009422561,0.00000937987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044463435,0.00005863503,0.00014356682,0.00026378044,0.000041427684,0.000032378066,0.0002207344,0.000040114664,0.0000074637987],"category_scores_gemma":[0.000025341702,0.000049624243,0.000052880674,0.000065965236,0.00013727932,0.00047406033,0.00009164662,0.00007724148,0.000016721666],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000624235,0.000042708645,0.22398509,0.000008039653,0.00011845951,0.00002343255,0.00037886304,0.05802156,0.0000044828034,0.6653763,0.000184828,0.051793776],"study_design_scores_gemma":[0.0015442469,0.00012936757,0.69018036,0.000042203726,0.000010189752,0.00027914217,0.0010333139,0.08278215,0.00011142247,0.15635857,0.067368016,0.00016099155],"about_ca_topic_score_codex":0.000049605005,"about_ca_topic_score_gemma":0.00006282121,"teacher_disagreement_score":0.50901777,"about_ca_system_score_codex":0.00007666132,"about_ca_system_score_gemma":0.00000540906,"threshold_uncertainty_score":0.20236179},"labels":[],"label_agreement":null},{"id":"W4367023834","doi":"10.2196/42898","title":"Public Preference Heterogeneity and Predicted Uptake Rate of Upper Gastrointestinal Cancer Screening Programs in Rural China: Discrete Choice Experiments and Latent Class Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Health Commission of the People's Republic of China; Weifang Medical University; Shandong University","keywords":"Demography; Latent class model; Mixed logit; Medicine; Respondent; Population; Preference; Akaike information criterion; Public health; Logistic regression; Statistics; Environmental health; Mathematics; Internal medicine; Pathology","score_opus":0.207507622413139,"score_gpt":0.29768568392096445,"score_spread":0.09017806150782545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367023834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536574,0.0013485301,0.0003314586,0.0021926782,0.000040387684,0.00044150228,0.00017480593,0.00003597269,0.00006893168],"genre_scores_gemma":[0.9976154,0.0015174244,0.0002291052,0.00012550829,0.000022587017,0.00018294598,0.00023888036,0.000014298841,0.000053844822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817175,0.0000951718,0.00069605716,0.00047230316,0.00005007752,0.0005146276],"domain_scores_gemma":[0.9990384,0.000046927118,0.0003806574,0.00018139483,0.000016978807,0.00033564575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012359648,0.00017538798,0.0005245921,0.0003310707,0.0001216983,0.00010657803,0.00009657843,0.00005789281,0.000025539219],"category_scores_gemma":[0.00008568481,0.0001842811,0.000049241902,0.0005639846,0.00012495644,0.00034994367,0.000119685894,0.00013269445,0.0000024816486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000145562235,0.000036644404,0.99284965,0.00006238586,0.00005603853,3.3419477e-7,0.0002951589,0.00004038602,0.000006479212,0.00032966738,0.000016517386,0.006292209],"study_design_scores_gemma":[0.0007222022,0.00011892684,0.96691644,0.000018200797,0.0000011068239,0.0000020546893,0.00015465713,0.031376835,5.217577e-7,0.00006819546,0.00047800966,0.00014283838],"about_ca_topic_score_codex":0.0013935026,"about_ca_topic_score_gemma":0.0013029906,"teacher_disagreement_score":0.03133645,"about_ca_system_score_codex":0.000094339994,"about_ca_system_score_gemma":0.000043940407,"threshold_uncertainty_score":0.7514765},"labels":[],"label_agreement":null},{"id":"W4375867955","doi":"10.31219/osf.io/wzdg7","title":"Investigating urban residents’ utilization patterns and financial contribution to parks and protected areas in Vietnam: Evidence from Bayesian mindsponge mindspongeconomics","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"National park; Biodiversity; Wildlife; Ecosystem services; Geography; Environmental resource management; Business; Environmental planning; Ecosystem; Economics; Ecology","score_opus":0.1298323854848211,"score_gpt":0.25386173225403386,"score_spread":0.12402934676921276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375867955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98078114,0.000886642,0.014656019,0.00088661426,0.00038003517,0.0015671859,0.0007346392,0.00005514409,0.00005255986],"genre_scores_gemma":[0.9958593,0.00089887774,0.0015540124,0.00026524614,0.00016461241,0.00039275156,0.00062163547,0.000053693802,0.0001898505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693626,0.00007648007,0.0012609691,0.0013017526,0.000053045693,0.00037147696],"domain_scores_gemma":[0.99853677,0.00017545628,0.00064003194,0.00041892607,0.00002112356,0.00020769489],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011007701,0.0003838081,0.00072501344,0.0004763019,0.000119360986,0.00023881062,0.00022378865,0.0005300908,0.00016150162],"category_scores_gemma":[0.0010093335,0.0005169537,0.000067432076,0.00015515363,0.00007567799,0.00038915384,0.0006312152,0.0004287375,0.00011493774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028588036,0.000022692113,0.99585813,0.000079208316,0.000023208422,0.0000026555415,0.0012416883,0.0007047016,0.000029897548,0.0008208885,0.00013248126,0.0010558655],"study_design_scores_gemma":[0.0005819446,0.000051027022,0.9571079,0.0005927198,0.000015431688,0.0000010195664,0.00012041401,0.02432805,0.00014337471,0.016497144,0.000054330918,0.00050663215],"about_ca_topic_score_codex":0.0057174354,"about_ca_topic_score_gemma":0.004299384,"teacher_disagreement_score":0.038750213,"about_ca_system_score_codex":0.00054846983,"about_ca_system_score_gemma":0.00005391374,"threshold_uncertainty_score":0.9997282},"labels":[],"label_agreement":null},{"id":"W4375868154","doi":"10.31219/osf.io/a5xmt","title":"Estimating households’ willingness-to-pay associated with risks for improved plastic waste management using a new integrated contingent valuation-mindsponge- mindspongeconomics approach","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Vietnamese; Contingent valuation; Plastic waste; Valuation (finance); Solid waste management; Willingness to pay; Business; General partnership; Environmental economics; Municipal solid waste; Economics; Public economics; Finance; Waste management; Engineering","score_opus":0.2673270056767621,"score_gpt":0.27366667283427204,"score_spread":0.006339667157509943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375868154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47504586,0.00004924948,0.5198526,0.00011032628,0.0013602399,0.002365531,0.0006254302,0.0001522166,0.00043856792],"genre_scores_gemma":[0.7343363,0.000036131885,0.25580835,0.00017468998,0.00043432298,0.00084966014,0.00225098,0.00035224867,0.005757283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954485,0.000042610925,0.0018404045,0.0018067139,0.00008783485,0.0007738898],"domain_scores_gemma":[0.99672556,0.00032078617,0.0018677104,0.0007371481,0.000061556704,0.0002872206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001997922,0.000766142,0.0012999955,0.0004941025,0.00028084413,0.00041892743,0.00058650255,0.0005080128,0.00007958971],"category_scores_gemma":[0.00036139178,0.00078631775,0.0003124118,0.00029719557,0.000067606605,0.00025707178,0.00054227235,0.00050589873,0.00014750543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014050104,0.0002195889,0.03549999,0.00022723386,0.0013278117,0.0000017423436,0.0007505462,0.9572293,0.000016380094,0.001893305,0.00044714415,0.0022464537],"study_design_scores_gemma":[0.0021711097,0.00015035085,0.04629044,0.00029337383,0.00027798567,0.0000014657996,0.00053168996,0.9415468,0.00002897091,0.007505241,0.00014305853,0.001059508],"about_ca_topic_score_codex":0.0011469646,"about_ca_topic_score_gemma":0.00019186901,"teacher_disagreement_score":0.26404423,"about_ca_system_score_codex":0.0018289034,"about_ca_system_score_gemma":0.00015974077,"threshold_uncertainty_score":0.9994588},"labels":[],"label_agreement":null},{"id":"W4376486564","doi":"10.2139/ssrn.4288815","title":"Can Tax-Subsidies for Charitable Donations Foster Accessibility to Fresh Goods?","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Dalhousie University","funders":"","keywords":"Subsidy; Business; Tax deduction; Tax credit; Public economics; Ad valorem tax; Tax reform; Commerce; Economics; State income tax; Market economy; Gross income","score_opus":0.06579833929411379,"score_gpt":0.24262002714050496,"score_spread":0.17682168784639118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376486564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681644,0.0025020759,0.015171362,0.009292953,0.000580409,0.0005216794,0.0004587725,0.00001925252,0.003289091],"genre_scores_gemma":[0.9933095,0.00033097158,0.00030829012,0.0006522942,0.00014808553,0.00018940336,0.000037567945,0.00002213138,0.0050017573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99816656,0.000021957323,0.0004485589,0.00029892026,0.00004509021,0.0010189025],"domain_scores_gemma":[0.9994552,0.000032663185,0.00025267576,0.00017790183,0.000011052958,0.00007047591],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021222117,0.00010936257,0.00020549788,0.00014855592,0.0006558976,0.00006584561,0.00029380337,0.00003202643,0.00092096167],"category_scores_gemma":[0.000054127777,0.00013458259,0.000121778874,0.00011435211,0.000018743904,0.00024337485,0.00011973252,0.0005035935,0.00007669139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006111362,0.00022096162,0.28070644,0.000010551846,0.00020599607,3.937844e-7,0.0011033929,0.0023399403,0.00011161067,0.70633054,0.003966012,0.004943067],"study_design_scores_gemma":[0.00092322985,0.00040103387,0.049168315,0.0000021530775,0.000013316101,0.000028597642,0.002628669,0.00065215206,0.00005919709,0.9193009,0.02654575,0.00027666896],"about_ca_topic_score_codex":0.00017542251,"about_ca_topic_score_gemma":0.0016009832,"teacher_disagreement_score":0.23153812,"about_ca_system_score_codex":0.0025580728,"about_ca_system_score_gemma":0.00020196836,"threshold_uncertainty_score":0.9999923},"labels":[],"label_agreement":null},{"id":"W4377011008","doi":"10.1177/0272989x231171912","title":"Comparison of Preferences and Data Quality between Discrete Choice Experiments Conducted in Online and Face-to-Face Respondents","year":2023,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"EuroQol Research Foundation; Bristol-Myers Squibb","keywords":"Respondent; Multinomial logistic regression; Comparability; EQ-5D; Statistics; Computer science; Psychology; Medicine; Mathematics; Health related quality of life","score_opus":0.5425458878616087,"score_gpt":0.4799996421422702,"score_spread":0.06254624571933853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377011008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954153,0.00046269444,0.003111692,0.00031949376,0.000105618106,0.00015935497,0.00030555515,0.000011936368,0.000108406006],"genre_scores_gemma":[0.9984712,0.00015928096,0.0010636176,0.00006477711,0.000027388662,0.000004658237,0.00015085735,0.000008625773,0.000049578284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983215,0.000052527157,0.0008571384,0.00047080184,0.00013749236,0.00016054185],"domain_scores_gemma":[0.9987143,0.00061872986,0.00023124342,0.00032037531,0.0000040801565,0.000111217654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016540462,0.00009729024,0.00042767607,0.00019596334,0.000044381668,0.000027321106,0.0003369418,0.00010313658,0.00019996653],"category_scores_gemma":[0.0013246272,0.000099758654,0.000014516666,0.00019743408,0.00007680585,0.00019670169,0.00070815196,0.00013025952,0.000060985996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020678408,0.00003121622,0.97033393,0.000012070481,0.000010266648,5.027823e-7,0.0005671618,0.00004549694,0.000027922604,0.0001678869,0.00014510077,0.028637774],"study_design_scores_gemma":[0.0005814271,0.000043472777,0.9815189,0.00011144155,0.0000025593822,1.8060861e-7,0.0006774114,0.013769246,0.000024194977,0.0024918637,0.00067282334,0.0001064531],"about_ca_topic_score_codex":0.00014310668,"about_ca_topic_score_gemma":0.00011426526,"teacher_disagreement_score":0.028531322,"about_ca_system_score_codex":0.000038372735,"about_ca_system_score_gemma":0.00000875773,"threshold_uncertainty_score":0.406804},"labels":[],"label_agreement":null},{"id":"W4377012981","doi":"10.32942/x2088d","title":"Spatially explicit Bayesian hierarchical models for avian population status and trends","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Birds Canada; Carleton University; Environment and Climate Change Canada","funders":"U.S. Fish and Wildlife Service; Environment and Climate Change Canada; Bird Studies Canada","keywords":"Breeding bird survey; Range (aeronautics); Geography; Population; Spatial ecology; Bayesian probability; Spatial analysis; Cartography; Population model; Scale (ratio); Econometrics; Statistics; Computer science; Ecology; Mathematics; Demography; Remote sensing","score_opus":0.15529713597854986,"score_gpt":0.2582825541303868,"score_spread":0.10298541815183695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377012981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5312058,0.0004533675,0.44784454,0.0019454496,0.0011052139,0.0009223208,0.0016673118,0.00019469442,0.014661317],"genre_scores_gemma":[0.98342,0.00044635858,0.008364874,0.00013334269,0.00017435385,0.00023019228,0.001840398,0.00006781007,0.005322655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981573,0.000011543215,0.00072101114,0.00076053763,0.00003095782,0.00031860103],"domain_scores_gemma":[0.9991543,0.00005226522,0.0003244031,0.00033288635,0.000005584423,0.00013052482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003810483,0.00023629058,0.00047587306,0.0003493278,0.00009573918,0.00010713472,0.00012748863,0.00030282733,0.00034490388],"category_scores_gemma":[0.000021942486,0.00029536692,0.00015038268,0.00005136494,0.00002651931,0.00018608628,0.00024920772,0.00020226327,0.000090457426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039579645,0.00007958076,0.32824033,0.00015349964,0.00013924605,5.974568e-7,0.0007104011,0.056427144,0.0000020641157,0.58809924,0.0006127043,0.025495622],"study_design_scores_gemma":[0.00031697663,0.000034196997,0.30032086,0.000010347708,0.000009123375,2.1873561e-7,0.000016569325,0.3010472,0.0000016923645,0.39772993,0.00026891523,0.0002439802],"about_ca_topic_score_codex":0.0023601225,"about_ca_topic_score_gemma":0.0004935451,"teacher_disagreement_score":0.45221424,"about_ca_system_score_codex":0.000238075,"about_ca_system_score_gemma":0.000009411068,"threshold_uncertainty_score":0.9999499},"labels":[],"label_agreement":null},{"id":"W4377016651","doi":"10.15288/jsad.22-00269","title":"Drivers of Purchase Decisions Among Consumers of Dried Flower Cannabis Products: A Discrete Choice Experiment","year":2023,"lang":"en","type":"article","venue":"Journal of Studies on Alcohol and Drugs","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Multinomial logistic regression; Cannabis; Purchasing; Preference; Product (mathematics); Discrete choice; Mixed logit; Latent class model; Ordered logit; Population; Advertising; Logistic regression; Marketing; Business; Psychology; Economics; Medicine; Environmental health; Mathematics; Econometrics; Statistics; Microeconomics; Psychiatry","score_opus":0.12301526141826379,"score_gpt":0.2961123610450654,"score_spread":0.1730970996268016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377016651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952885,0.002412639,0.000011590229,0.0011374976,0.0003813668,0.0001302651,0.0000417496,0.0000037932105,0.0005926183],"genre_scores_gemma":[0.9954308,0.003866386,0.0001815077,0.000061825915,0.000036703623,0.0000073431365,0.000002253701,0.000010017723,0.00040315953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875873,0.000012852528,0.0008490243,0.00017388481,0.00007243451,0.00013309925],"domain_scores_gemma":[0.998795,0.00009483324,0.0008485081,0.00013600782,0.000060004266,0.00006567469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065476954,0.00011037829,0.00047984117,0.00024320296,0.000074170246,0.000008027063,0.00009508718,0.000035851503,0.00003213094],"category_scores_gemma":[0.00037623735,0.00010074802,0.000108925524,0.00015150932,0.00024275506,0.00016195212,0.000075285294,0.00008646779,0.000017689876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004417295,0.0006434657,0.8929097,0.00027000884,0.00311658,0.000021646225,0.0585608,0.0050753737,0.002866709,0.0073773023,0.022660557,0.0060561234],"study_design_scores_gemma":[0.006002112,0.0009650289,0.91640073,0.000447632,0.00013977541,0.000006469155,0.05049833,0.0006878566,0.012076099,0.003309096,0.008928737,0.0005381574],"about_ca_topic_score_codex":0.00006296792,"about_ca_topic_score_gemma":0.000008313675,"teacher_disagreement_score":0.023491003,"about_ca_system_score_codex":0.00008826184,"about_ca_system_score_gemma":0.000014174589,"threshold_uncertainty_score":0.4108385},"labels":[],"label_agreement":null},{"id":"W4378448645","doi":"10.1016/j.ecolecon.2023.107896","title":"Are greenspaces too green? Landscape preferences and water use in urban parks","year":2023,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Department of Water and Environmental Regulation, Government of Western Australia; Department of Environment Regulation, Government of Western Australia; Forrest Research Foundation","keywords":"Groundcover; Lawn; Public park; Geography; Flexibility (engineering); Vegetation (pathology); Urban landscape; Urban park; Environmental resource management; Scale (ratio); Landscaping; Water use; Preference; Environmental science; Environmental planning; Ecology; Mathematics; Cartography","score_opus":0.13261046723804765,"score_gpt":0.210055332050083,"score_spread":0.07744486481203536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378448645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99547625,0.00012136979,0.0000064266474,0.0011749071,0.00020641496,0.00019783425,0.000099013276,0.000053692635,0.0026640985],"genre_scores_gemma":[0.99660254,0.00063087983,0.00009471214,0.0005349935,0.00006961125,0.00005397073,0.00007873445,0.000016369544,0.0019182033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985188,0.000022512968,0.0005368903,0.00052930886,0.000012185096,0.0003802702],"domain_scores_gemma":[0.9993757,0.000117553274,0.00022503977,0.00018688785,0.0000035091332,0.000091317605],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005281025,0.00017194512,0.00041416183,0.0001861112,0.00008614682,0.00010151854,0.00014927374,0.0001927416,0.00078660593],"category_scores_gemma":[0.000057122674,0.00015836797,0.00006130737,0.000069492635,0.00009278066,0.0004340792,0.00017070663,0.00014602832,0.0022771251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010049896,0.000042633634,0.9929797,0.000007866796,0.000015959278,0.000004880251,0.00017774833,0.00074153155,0.000003045174,0.004722955,0.0010219493,0.0002717027],"study_design_scores_gemma":[0.00047341068,0.000063680876,0.95945305,0.0000034552374,0.0000027878607,0.0000017034888,0.00020098477,0.0064408462,0.000012550188,0.025517767,0.007588891,0.0002408903],"about_ca_topic_score_codex":0.00015263497,"about_ca_topic_score_gemma":0.0011429898,"teacher_disagreement_score":0.033526648,"about_ca_system_score_codex":0.000101147154,"about_ca_system_score_gemma":0.0000038703415,"threshold_uncertainty_score":0.9984997},"labels":[],"label_agreement":null},{"id":"W4379203875","doi":"10.1016/j.jmp.2023.102790","title":"An illustrated guide to context effects","year":2023,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); Stochastic dominance; Mathematical economics; Computer science; Dominance (genetics); Similarity (geometry); Context effect; Aggregate (composite); Simple (philosophy); Discrete choice; Econometrics; Mathematics; Artificial intelligence; Epistemology","score_opus":0.13067957036731295,"score_gpt":0.3382534411631645,"score_spread":0.20757387079585157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379203875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95266014,0.00009217148,0.02942817,0.0026868274,0.00053176406,0.0001308612,0.0000065433483,0.000020116051,0.0144434],"genre_scores_gemma":[0.9942747,0.00003816839,0.0030214817,0.0019387057,0.00012318716,0.0000052267605,0.000002278811,0.000016680498,0.00057960924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998821,0.000027330669,0.0007801139,0.00015242303,0.00003095901,0.0001881436],"domain_scores_gemma":[0.9992305,0.00010594833,0.00030568498,0.00019471729,0.000014298233,0.00014885524],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011717505,0.00008367207,0.00035554374,0.00021480417,0.000027730342,0.000017932194,0.00019996073,0.00008707031,0.0009258414],"category_scores_gemma":[0.00020134427,0.00008186963,0.000085387226,0.00013795627,0.000039830276,0.00013523933,0.00001754605,0.000116788455,0.007916224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022235203,0.0015218613,0.05086199,0.00021092032,0.00040628968,0.00018138946,0.0029956296,0.001472273,0.0061746025,0.64862883,0.26459885,0.022724994],"study_design_scores_gemma":[0.0028272488,0.002030621,0.39208305,0.0000805445,0.000024843135,0.00022180549,0.000436568,0.002870801,0.0003646719,0.5614023,0.03724699,0.0004105304],"about_ca_topic_score_codex":0.0000020175605,"about_ca_topic_score_gemma":7.710769e-7,"teacher_disagreement_score":0.34122106,"about_ca_system_score_codex":0.000052737636,"about_ca_system_score_gemma":0.000005288995,"threshold_uncertainty_score":0.9999874},"labels":[],"label_agreement":null},{"id":"W4379212105","doi":"10.1787/9c93138f-en","title":"Valuing a reduction in the risk of chronic kidney disease","year":2023,"lang":"en","type":"report","venue":"OECD environment working papers","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Willingness to pay; Contingent valuation; Kidney disease; Environmental health; Valuation (finance); Business; Actuarial science; Medicine; Economics; Finance","score_opus":0.11696029546533612,"score_gpt":0.2376793673130643,"score_spread":0.12071907184772818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379212105","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4678452,0.029669752,0.00026176657,0.0028177104,0.00932417,0.0039933925,0.0015194447,0.0001928717,0.48437572],"genre_scores_gemma":[0.9403414,0.053080264,0.00007824671,0.000056711524,0.0005392083,0.00018040692,0.00040556976,0.00009462956,0.0052235657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976323,0.00007806334,0.0010126268,0.00070667185,0.00020780858,0.00036248346],"domain_scores_gemma":[0.9979664,0.0000779937,0.0011493844,0.000699496,0.0000014754348,0.00010527076],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024478706,0.0003147274,0.00052804215,0.00025261118,0.00012574544,0.000034789697,0.00034482975,0.00022050877,0.0013605483],"category_scores_gemma":[0.00010233496,0.00031906046,0.00031843616,0.000102690356,0.00015017288,0.00006824416,0.000112699694,0.00047087303,0.0013593177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033136115,0.00034693733,0.92014146,0.00034067628,0.00041727925,0.00001731492,0.0012500052,0.0467601,0.00007127995,0.0012868881,0.006380185,0.022954758],"study_design_scores_gemma":[0.0005123804,0.000059999922,0.6569751,0.00026333524,0.00013499279,0.0000038043825,0.00022060008,0.0007884083,0.0000069197163,0.0017919785,0.33873415,0.0005083429],"about_ca_topic_score_codex":0.00044029535,"about_ca_topic_score_gemma":0.000016322098,"teacher_disagreement_score":0.47915214,"about_ca_system_score_codex":0.0019615667,"about_ca_system_score_gemma":0.00008987504,"threshold_uncertainty_score":0.99992615},"labels":[],"label_agreement":null},{"id":"W4379212144","doi":"10.1787/dfd159a1-en","title":"Valuing a reduction in the risk of very low birth weight","year":2023,"lang":"en","type":"report","venue":"OECD environment working papers","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Low birth weight; Contingent valuation; Valuation (finance); Birth weight; Preference; Environmental health; Medicine; Business; Economics; Pregnancy; Accounting","score_opus":0.105871891613446,"score_gpt":0.22271597754225722,"score_spread":0.11684408592881122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379212144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69888395,0.0070586065,0.00008048742,0.00039772518,0.0038791387,0.0011538498,0.0002557197,0.000070877315,0.28821963],"genre_scores_gemma":[0.9337783,0.059144568,0.00016998812,0.000034665944,0.00041332448,0.00011478159,0.00016873429,0.0000952124,0.006080442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975219,0.00008018283,0.0011143228,0.0007023326,0.00021572069,0.00036556504],"domain_scores_gemma":[0.9979002,0.00012013503,0.0012850451,0.00065022835,0.0000016587657,0.000042735664],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00286493,0.00033070217,0.0006222562,0.00031677645,0.00012479105,0.000035806173,0.0003500188,0.000321668,0.0011178423],"category_scores_gemma":[0.00004879344,0.0003292136,0.00031659123,0.00012378485,0.00014600542,0.00007774038,0.0001110365,0.0005327381,0.0015160282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024395931,0.00024719222,0.94532937,0.00019913891,0.00039432995,0.000011719592,0.0017129525,0.026257558,0.0001013338,0.0008161414,0.002288098,0.022617757],"study_design_scores_gemma":[0.00051483035,0.00006481185,0.7179312,0.00022062685,0.00008082398,0.000009750208,0.00045796204,0.00035132302,0.00003480183,0.0016036031,0.27815947,0.0005708009],"about_ca_topic_score_codex":0.0005034026,"about_ca_topic_score_gemma":0.000023556595,"teacher_disagreement_score":0.28213918,"about_ca_system_score_codex":0.0011145043,"about_ca_system_score_gemma":0.000031404717,"threshold_uncertainty_score":0.999916},"labels":[],"label_agreement":null},{"id":"W4379212175","doi":"10.1787/7242509f-en","title":"Valuing a reduction in the risk of infertility","year":2023,"lang":"en","type":"report","venue":"OECD environment working papers","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Infertility; Willingness to pay; Fertility; Business; Valuation (finance); Public economics; Environmental health; Natural resource economics; Economics; Environmental resource management; Medicine; Population; Finance","score_opus":0.21374087646650683,"score_gpt":0.25225326131262626,"score_spread":0.038512384846119435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379212175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6759691,0.004135887,0.00007268076,0.00031869012,0.0019732704,0.0010074019,0.00017298205,0.000051489616,0.31629845],"genre_scores_gemma":[0.9780586,0.01886588,0.00014302117,0.00002483261,0.00019644103,0.00010584751,0.0001328909,0.000058431568,0.002414063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769306,0.00008671691,0.0011113026,0.0006204632,0.00018502808,0.00030344442],"domain_scores_gemma":[0.99805635,0.000116268886,0.0011461138,0.0006447695,0.0000016843004,0.00003483028],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038563327,0.0002707817,0.0005564362,0.00021730251,0.000103253326,0.000028154122,0.00030329646,0.00029033836,0.0008906394],"category_scores_gemma":[0.000087317225,0.00027001815,0.00027178423,0.0000988052,0.0001416116,0.000061263076,0.000106292515,0.0004984955,0.0010253155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000879275,0.000109232125,0.98080534,0.000062989646,0.00013550182,0.0000023044634,0.0009892033,0.007878779,0.00003242851,0.00034723838,0.0005381838,0.009090003],"study_design_scores_gemma":[0.00024483306,0.00003421188,0.92758095,0.00007190296,0.00004895504,0.0000033406093,0.00032810817,0.0001393997,0.000011479297,0.0018337325,0.06942426,0.00027882835],"about_ca_topic_score_codex":0.0009563254,"about_ca_topic_score_gemma":0.000035965182,"teacher_disagreement_score":0.3138844,"about_ca_system_score_codex":0.0010297134,"about_ca_system_score_gemma":0.000026307735,"threshold_uncertainty_score":0.9999752},"labels":[],"label_agreement":null},{"id":"W4380264101","doi":"10.1111/capa.12521","title":"Overview of ecofiscal powers for municipalities: Implementation of new measures in Québec","year":2023,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Variety (cybernetics); Revenue; Business; Environmental economics; Environmental planning; Public economics; Environmental resource management; Finance; Economics; Environmental science; Computer science","score_opus":0.28095031471064175,"score_gpt":0.31399833237554464,"score_spread":0.033048017664902896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380264101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901334,0.00033755964,0.00034131616,0.006769078,0.00012313866,0.0003401861,0.00047446496,0.0000079652,0.0014728816],"genre_scores_gemma":[0.9986676,0.00008738737,0.0001026595,0.00008368461,0.000023412009,0.000033153654,0.00044765946,0.000009778442,0.0005446822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990928,0.000009178084,0.00054959377,0.0001497577,0.000024228926,0.00017442758],"domain_scores_gemma":[0.9994853,0.000030385087,0.00023127068,0.00012891182,0.000011649339,0.000112478745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049101084,0.000064335756,0.00017598784,0.00033747693,0.000030170999,0.000015701908,0.000091984126,0.00005622537,0.0005512469],"category_scores_gemma":[0.000069113,0.00008908553,0.000055907538,0.00017903803,0.000028304825,0.00022571207,0.000006821521,0.000027374632,0.000032240376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075546054,0.000018011177,0.51414376,0.000067071305,0.000031536474,3.5619757e-7,0.0013097861,0.00003199743,0.0000212805,0.47471634,0.00333087,0.0063214498],"study_design_scores_gemma":[0.0012929855,0.00024884092,0.8405385,0.000018799126,0.000008215808,9.673885e-7,0.0059195333,0.0014481412,0.00033406526,0.01586829,0.13407849,0.000243201],"about_ca_topic_score_codex":0.20869486,"about_ca_topic_score_gemma":0.90616024,"teacher_disagreement_score":0.6974654,"about_ca_system_score_codex":0.00036309496,"about_ca_system_score_gemma":0.0007556174,"threshold_uncertainty_score":0.7965745},"labels":[],"label_agreement":null},{"id":"W4381058555","doi":"10.2139/ssrn.4473941","title":"Optimal Learning and Management of Threatened Species","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Threatened species; Exploit; Computer science; Adaptive management; Partially observable Markov decision process; Mathematical optimization; Dynamic programming; Bayes' theorem; Environmental resource management; Bayesian probability; Ecology; Machine learning; Habitat; Artificial intelligence; Mathematics; Economics; Markov chain; Markov model; Algorithm; Biology","score_opus":0.0466489383965413,"score_gpt":0.2134656955899453,"score_spread":0.166816757193404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381058555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874259,0.0021727222,0.0019212526,0.00022657584,0.00006632314,0.000052915268,0.0000024366168,0.0000134448355,0.008118411],"genre_scores_gemma":[0.9384522,0.05172699,0.00016843625,0.0000064217106,0.000033682732,0.0000026966036,0.0000047679387,0.00001025002,0.009594564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99904597,0.0000072340863,0.00025726185,0.00012566557,0.000021649052,0.00054224656],"domain_scores_gemma":[0.99974823,0.000009128141,0.00016569247,0.000049894483,0.0000029653818,0.000024107921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010003512,0.00006249348,0.0001381046,0.000106250656,0.00008780392,0.000017783877,0.000065568485,0.000026818321,0.00011247039],"category_scores_gemma":[0.0000047263225,0.00007036008,0.00004545518,0.0000808808,0.000031428437,0.00010492524,0.000042198855,0.0002521459,0.00020741869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011227749,0.000015211235,0.27863756,0.000014228398,0.00017651691,0.0000015239505,0.00014381018,0.0018621898,0.000033089273,0.7150705,0.000030675936,0.0040034642],"study_design_scores_gemma":[0.0012787053,0.00032884462,0.6505261,0.000024348938,0.000024167637,0.000052699364,0.005760086,0.0028163102,0.00008553737,0.33286035,0.005981525,0.00026133156],"about_ca_topic_score_codex":0.000010072848,"about_ca_topic_score_gemma":0.000006964491,"teacher_disagreement_score":0.38221017,"about_ca_system_score_codex":0.00021353578,"about_ca_system_score_gemma":0.000015253673,"threshold_uncertainty_score":0.2869201},"labels":[],"label_agreement":null},{"id":"W4381516450","doi":"10.2139/ssrn.4487103","title":"The Value of Property Rights and Environmental Policy in the Brazilian Amazon and Cerrado: Evidence from a New Database on Land Prices","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Amazon rainforest; Value (mathematics); Property rights; Property (philosophy); Database; Property value; Land value; Environmental policy; Geography; Natural resource economics; Business; Political science; Economics; Computer science; Mathematics; Law; Philosophy; Real estate; Statistics; Ecology","score_opus":0.06293238927590039,"score_gpt":0.24274557033582672,"score_spread":0.17981318105992633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381516450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98113084,0.014955405,0.00017746321,0.0029904018,0.00012972571,0.0003378139,0.00012588622,0.000004747461,0.00014773346],"genre_scores_gemma":[0.93614286,0.06263539,0.000041874122,0.00007499822,0.00024889573,0.000013146577,0.000036210586,0.000019004057,0.00078761287],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998252,0.00007764402,0.00055221544,0.0004131263,0.000079534126,0.0006255086],"domain_scores_gemma":[0.99882734,0.0002262578,0.0005395317,0.00034802983,0.0000015471492,0.000057267167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021713213,0.0002008857,0.00029669917,0.00013622316,0.00020063536,0.0001250403,0.00041680224,0.00011290232,0.00001557355],"category_scores_gemma":[0.00007120167,0.00012160283,0.00006850521,0.00005582731,0.0001270271,0.00019242887,0.00024234706,0.0013005167,0.000032685533],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021743283,0.0001683879,0.911006,0.000050138115,0.00043191222,0.0000052559208,0.004533333,0.0012422606,0.00007236497,0.07033815,0.0003663613,0.011568455],"study_design_scores_gemma":[0.0005452238,0.00018495385,0.47107914,0.00013837437,0.00002262085,0.000021499061,0.0006107497,0.0017700937,0.00001653287,0.5248236,0.0005863254,0.00020084773],"about_ca_topic_score_codex":0.018108726,"about_ca_topic_score_gemma":0.0066463407,"teacher_disagreement_score":0.45448548,"about_ca_system_score_codex":0.000674254,"about_ca_system_score_gemma":0.00021054545,"threshold_uncertainty_score":0.9884298},"labels":[],"label_agreement":null},{"id":"W4381683322","doi":"10.1016/j.oneear.2023.05.024","title":"Avoiding carbon leakage from nature-based offsets by design","year":2023,"lang":"en","type":"article","venue":"One Earth","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science; London School of Economics and Political Science; University of Ottawa","keywords":"Leakage (economics); Credibility; Carbon leakage; Risk analysis (engineering); Unintended consequences; Computer science; Psychological intervention; Conceptual framework; Computer security; Business; Climate change; Economics; Political science; Psychology; Sociology","score_opus":0.0994775403293568,"score_gpt":0.20345562604734227,"score_spread":0.10397808571798547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381683322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888403,0.00086432724,0.0037192777,0.00041154856,0.00027820942,0.00013895851,0.00014914598,0.00007703249,0.0055212425],"genre_scores_gemma":[0.9971925,0.00012998497,0.0006444255,0.00030700167,0.00007519119,0.00001655111,0.00024297198,0.000020695528,0.0013706886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991696,0.00003113142,0.00025433276,0.00032067287,0.000028546443,0.00019570401],"domain_scores_gemma":[0.9995264,0.00010140731,0.0001251347,0.00019256338,0.0000023705652,0.000052124313],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000567199,0.00010013206,0.00018936007,0.00009107723,0.00010338472,0.000035604044,0.00010118417,0.00012899173,0.00055066193],"category_scores_gemma":[0.00005331713,0.00013290583,0.00005104931,0.00011581879,0.000023120534,0.000097218726,0.000024959681,0.0002352369,0.0030083668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013838118,0.00058952323,0.873979,0.000057678113,0.0003781902,0.000027324519,0.001422995,0.023385618,0.023056662,0.029926836,0.03449917,0.012538671],"study_design_scores_gemma":[0.0024952397,0.00016095003,0.6791076,0.00004924573,0.000021258538,7.0783756e-7,0.00014634451,0.21711549,0.03587113,0.0292698,0.034824766,0.0009374607],"about_ca_topic_score_codex":0.0003071084,"about_ca_topic_score_gemma":0.000012625426,"teacher_disagreement_score":0.19487135,"about_ca_system_score_codex":0.000058202666,"about_ca_system_score_gemma":0.0000075729563,"threshold_uncertainty_score":0.9977679},"labels":[],"label_agreement":null},{"id":"W4381805030","doi":"10.1177/096327190000900104","title":"Does the Convention on Biodiversity Safeguard Biological Diversity?","year":2000,"lang":"en","type":"article","venue":"Environmental Values","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Convention on Biological Diversity; Scope (computer science); Convention; Biodiversity; Safeguard; Diversity (politics); Meaning (existential); Environmental resource management; Business; Environmental planning; Natural resource economics; Political science; Ecology; Geography; Economics; Law; Computer science; International trade; Biology; Psychology","score_opus":0.07527015662007722,"score_gpt":0.18254296805325365,"score_spread":0.10727281143317643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381805030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847454,0.00015356348,0.000025334466,0.00083872565,0.00023850951,0.00018548527,0.00021256434,0.000028330063,0.013572116],"genre_scores_gemma":[0.9929468,0.000911995,0.000040188606,0.0008315558,0.0000664243,0.0000070515016,0.00008067097,0.000006032217,0.005109284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999118,0.00003614314,0.00023582121,0.0003700001,0.00004892037,0.00019115034],"domain_scores_gemma":[0.9995674,0.000034175406,0.000103495775,0.00024303763,4.0442796e-7,0.000051511986],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029208144,0.00013957873,0.00016685779,0.000035644254,0.0005407025,0.00002614786,0.0002310172,0.00008053003,0.02235055],"category_scores_gemma":[0.0000048220722,0.00009296803,0.00013810777,0.000029286846,0.00026037038,0.00017087685,0.00015528606,0.000109590444,0.018773528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003617167,0.00017574146,0.9916682,0.0000015505778,0.000042731088,0.00000177858,0.00044070382,0.00018059734,0.00003254351,0.0027351473,0.0013035042,0.0033812814],"study_design_scores_gemma":[0.0004331882,0.00012782782,0.9595782,0.0000027240783,0.000007887282,0.0000012700174,0.00028333772,0.00011391464,0.00021244376,0.008971877,0.030078657,0.00018865017],"about_ca_topic_score_codex":0.00007511044,"about_ca_topic_score_gemma":0.000001539227,"teacher_disagreement_score":0.032090027,"about_ca_system_score_codex":0.00020682877,"about_ca_system_score_gemma":8.7551024e-7,"threshold_uncertainty_score":0.98199046},"labels":[],"label_agreement":null},{"id":"W4382047534","doi":"10.1073/pnas.2220401120","title":"Investing in nature can improve equity and economic returns","year":2023,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Office of International Science and Engineering; National Science Foundation","keywords":"Ecosystem services; Computable general equilibrium; Economics; Sustainability; Natural resource economics; Equity (law); Natural capital; Valuation (finance); Prosperity; Ecosystem valuation; Business; Environmental resource management; Ecosystem; Ecology; Ecosystem health; Economic growth; Finance; Macroeconomics","score_opus":0.13908623019750072,"score_gpt":0.29778435639607753,"score_spread":0.15869812619857682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382047534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812839,0.00011315861,6.011604e-8,0.0035803765,0.000030692336,0.000085648484,0.000056793808,0.0000051955594,0.014844178],"genre_scores_gemma":[0.9993006,0.000084925225,0.00017960803,0.00025116655,0.000035141544,0.0000057450043,2.9211407e-7,0.000002809036,0.00013972813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992831,0.0000013764286,0.0003268931,0.0002101818,0.00006858339,0.00010991907],"domain_scores_gemma":[0.9995502,0.00004611412,0.00037184815,0.0000056373556,0.0000070290284,0.00001913929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00188395,0.000052132076,0.00012546722,0.00017762258,0.00007166545,0.00001992452,0.00029906855,0.00008391373,0.000012951396],"category_scores_gemma":[0.00022507219,0.000047287995,0.000027806214,0.00023187199,0.00029314184,0.00030537756,0.00027135204,0.00014442313,0.0000074004884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017483268,0.0000062976496,0.66333854,0.00002941772,0.0000045712563,1.7618917e-9,0.0002408915,0.0002672274,0.004804699,0.3309006,0.00021124826,0.00019475189],"study_design_scores_gemma":[0.00009398233,0.0000094307925,0.6720334,0.000013159667,7.421453e-7,5.9103854e-7,0.000115613504,0.0051282644,0.0040745493,0.31843102,0.000054669803,0.000044577755],"about_ca_topic_score_codex":0.000052362302,"about_ca_topic_score_gemma":0.0000022071881,"teacher_disagreement_score":0.018016689,"about_ca_system_score_codex":0.0000973537,"about_ca_system_score_gemma":0.000009364866,"threshold_uncertainty_score":0.19283484},"labels":[],"label_agreement":null},{"id":"W4382240829","doi":"10.1002/agr.21833","title":"Killing the sacred dairy cow? Consumer preferences for plant‐based milk alternatives","year":2023,"lang":"en","type":"article","venue":"Agribusiness","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Counterfactual thinking; EconLit; Economics; Econometrics; Agricultural science; Biology","score_opus":0.178848241030149,"score_gpt":0.24532523925732652,"score_spread":0.06647699822717751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382240829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991374,0.00068707654,0.00460793,0.00089532713,0.00081087835,0.0003518684,0.0005133486,0.000055601613,0.0007039828],"genre_scores_gemma":[0.99792206,0.00051451166,0.00019283764,0.00024565196,0.00015523686,0.00012906642,0.00043789207,0.000016615879,0.00038610844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915653,0.000011256623,0.00031777204,0.00027620143,0.000027220543,0.0002110271],"domain_scores_gemma":[0.9993527,0.00022712654,0.00019647038,0.00018272134,0.000012801778,0.00002818093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041340478,0.00011392993,0.00019672935,0.00006668122,0.00017646093,0.00005242268,0.00019927655,0.000053414573,0.00013359364],"category_scores_gemma":[0.000051659645,0.00009538213,0.00006531295,0.00014890394,0.000077280245,0.00015333648,0.00003663686,0.000053731383,0.0005844703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006885589,0.00009465612,0.95575094,0.0000979158,0.00016456447,0.0000022987813,0.0007432708,0.0073897857,0.00017227161,0.014287892,0.018210499,0.0030170558],"study_design_scores_gemma":[0.0010158374,0.000031293683,0.9016202,0.00002726421,0.000014741832,0.0000012644119,0.00026841473,0.03812492,0.00044101875,0.013788076,0.04436993,0.00029705896],"about_ca_topic_score_codex":0.00010920409,"about_ca_topic_score_gemma":0.00003482196,"teacher_disagreement_score":0.05413075,"about_ca_system_score_codex":0.000042528085,"about_ca_system_score_gemma":0.000011726754,"threshold_uncertainty_score":0.7512378},"labels":[],"label_agreement":null},{"id":"W4383682320","doi":"10.3329/jsr.v56i2.67463","title":"Optimal allocation schemes in mixed ANCOVA models for longitudinal data","year":2023,"lang":"en","type":"article","venue":"Journal of Statistical Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mixed model; Covariate; Generalized linear mixed model; Random effects model; Sample size determination; Optimal design; Analysis of covariance; Monte Carlo method; Computer science; Statistics; Sample (material); Longitudinal data; Mathematics; Mathematical optimization; Data mining","score_opus":0.6636708590430362,"score_gpt":0.433823913287566,"score_spread":0.22984694575547027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383682320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54318535,0.00035163685,0.454163,0.0010122637,0.00015109575,0.00021498172,0.0005270466,0.0000047647504,0.0003898142],"genre_scores_gemma":[0.96980613,0.00045705427,0.029301303,0.000011414963,0.00010899394,0.000011594599,0.00010749602,0.000012830805,0.00018319479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986936,0.00003370475,0.00064329087,0.0002331668,0.00011091151,0.0002853677],"domain_scores_gemma":[0.9988883,0.00063391204,0.00015365765,0.0001811914,0.00005523208,0.00008766513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055937995,0.000058568356,0.00022898198,0.0003842369,0.00006179852,0.00005240168,0.00033379102,0.000053988675,0.00012327815],"category_scores_gemma":[0.0012484207,0.00006321169,0.000030009789,0.00022577909,0.000085827174,0.000473411,0.00013665647,0.00023626488,0.00023096809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003904859,0.00043748162,0.06475898,0.00013917832,0.00011101695,0.000036241163,0.00030755985,0.045722697,0.00014098539,0.83057606,0.033613358,0.02376598],"study_design_scores_gemma":[0.0009916488,0.00017909096,0.21527147,0.0000213528,0.0000030648105,0.000004412265,0.00018935937,0.59989864,0.000024954434,0.18088864,0.00244182,0.00008557513],"about_ca_topic_score_codex":0.00004192836,"about_ca_topic_score_gemma":0.000013759334,"teacher_disagreement_score":0.6496874,"about_ca_system_score_codex":0.00019503526,"about_ca_system_score_gemma":0.000048933092,"threshold_uncertainty_score":0.29687044},"labels":[],"label_agreement":null},{"id":"W4383709720","doi":"10.1016/j.tra.2023.103733","title":"Metropolitan area heterogeneity and the impact of road infrastructure improvements on VMT","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Metropolitan area; Vehicle miles of travel; Quantile regression; Stock (firearms); Econometrics; Elasticity (physics); Quantile; TRIPS architecture; Geography; Economics; Transport engineering; Engineering","score_opus":0.21566230137619027,"score_gpt":0.40262448399848233,"score_spread":0.18696218262229206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383709720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99083716,0.00018649115,0.000030419384,0.002181438,0.000024972183,0.00030996985,0.00031820984,0.000009879887,0.006101454],"genre_scores_gemma":[0.9972834,0.0021297662,0.000035745215,0.00015296253,0.000051814415,0.00004003232,0.00006576725,0.000009969728,0.00023052172],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99900687,0.00012358694,0.0003402329,0.00022315132,0.000078106925,0.00022806966],"domain_scores_gemma":[0.9988894,0.00064229034,0.00019212862,0.00017196659,0.000025119416,0.000079120255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023132993,0.00009044429,0.00018853787,0.00023566949,0.00017218055,0.00004008414,0.00007793564,0.00005761419,0.000099054094],"category_scores_gemma":[0.0005602554,0.00007207025,0.000060626837,0.00029591328,0.0002632615,0.0003105817,0.000012527422,0.00017891504,0.000058795307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015679986,0.00015949589,0.45670518,0.00008877515,0.0005198331,0.0000040829386,0.004888531,0.0020428866,0.0002226196,0.52440614,0.0029615227,0.0064329146],"study_design_scores_gemma":[0.001214085,0.00021609572,0.9722728,0.0000064677415,0.000008113419,9.957616e-7,0.0006962825,0.0014057187,0.000060875554,0.020798806,0.0032424773,0.00007725929],"about_ca_topic_score_codex":0.011364346,"about_ca_topic_score_gemma":0.00012591193,"teacher_disagreement_score":0.51556766,"about_ca_system_score_codex":0.000119009754,"about_ca_system_score_gemma":0.000028188804,"threshold_uncertainty_score":0.99521905},"labels":[],"label_agreement":null},{"id":"W4384033936","doi":"10.1007/s10640-023-00788-0","title":"Biodiversity Benefits of Birdwatching Using Citizen Science Data and Individualized Recreational Demand Models","year":2023,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Biodiversity Monitoring Institute; University of Saskatchewan","funders":"","keywords":"Recreation; Citizen science; Species richness; Sample (material); Geography; Biodiversity; Population; Weighting; TRIPS architecture; Environmental resource management; Ecology; Biology; Economics; Computer science; Demography","score_opus":0.16618617713860528,"score_gpt":0.22039374594941116,"score_spread":0.05420756881080588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384033936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99639857,0.0008362533,0.000118354415,0.00011692211,0.00005239946,0.00013125627,0.0013846082,0.000014471861,0.00094714836],"genre_scores_gemma":[0.9956713,0.0027483995,0.0011150294,0.00007435987,0.000029462508,0.0000019524725,0.00026229117,0.000011603107,0.000085647196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988266,0.000010862141,0.00037575234,0.00054366497,0.000038477938,0.00020461559],"domain_scores_gemma":[0.999317,0.00004161197,0.00025248324,0.00028889225,0.0000011242173,0.000098904595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009201653,0.00012666466,0.00024835265,0.00021328706,0.00030589793,0.00004945175,0.00025789478,0.0000725754,0.00008462438],"category_scores_gemma":[0.000010523748,0.0001543207,0.000027364234,0.00006752927,0.00049888145,0.0006036799,0.00083063205,0.00007316316,0.00006716495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025201185,0.000055976714,0.95441383,0.000023254672,0.000073538344,5.950145e-7,0.0017322056,0.02993272,0.00042656309,0.009199092,0.000103824066,0.0040131984],"study_design_scores_gemma":[0.0011514007,0.00004311731,0.74754167,0.000017153196,0.00002551432,0.00001267976,0.0012324379,0.23531806,0.00023653884,0.012061205,0.001985856,0.00037437055],"about_ca_topic_score_codex":0.00007904492,"about_ca_topic_score_gemma":0.0000030016793,"teacher_disagreement_score":0.20687217,"about_ca_system_score_codex":0.0001071756,"about_ca_system_score_gemma":0.000009109124,"threshold_uncertainty_score":0.62930155},"labels":[],"label_agreement":null},{"id":"W4384339026","doi":"10.3390/su151411024","title":"Comparative Valuation of Three Ecosystem Services in a Canadian Watershed Using Global, Regional, and Local Unit Values","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Global Water Futures; Canada First Research Excellence Fund","keywords":"Ecosystem services; Watershed; Geography; Environmental science; Land cover; Unit (ring theory); Carbon sequestration; Hydrology (agriculture); Deciduous; Land use; Ecosystem; Forestry; Ecology; Mathematics","score_opus":0.14983068525528864,"score_gpt":0.28117448921157595,"score_spread":0.1313438039562873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384339026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981985,0.00019197908,0.00042307848,0.00045291055,0.000041661948,0.0003711809,0.000084758045,0.000011383209,0.00022451792],"genre_scores_gemma":[0.9997916,0.000016078673,0.00005795279,0.000025435063,0.000009667772,0.000014712633,0.00005128607,0.000005116675,0.000028142067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897975,0.00004350296,0.00042095545,0.00028162563,0.00002982903,0.0002443287],"domain_scores_gemma":[0.99952453,0.00003112097,0.00014696186,0.00017309861,0.00004438209,0.00007987791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011374882,0.00009301553,0.00028002966,0.0001670511,0.000070964925,0.000023945368,0.00008322896,0.00006978541,0.000032010026],"category_scores_gemma":[0.000027219407,0.00011071721,0.000033367498,0.0002678728,0.00007892271,0.0002982667,0.00004311533,0.00004508481,0.000025290652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009587823,0.000016483487,0.9697045,0.00014350288,0.0000130550725,8.471176e-7,0.001151282,0.013606919,0.000001146616,0.015224372,0.000007651729,0.000120626915],"study_design_scores_gemma":[0.00022756513,0.000021277647,0.7264548,0.000009400157,0.0000033242154,6.1042556e-7,0.0031080851,0.13023454,0.0000061385767,0.13972239,0.00013314384,0.00007876695],"about_ca_topic_score_codex":0.31026724,"about_ca_topic_score_gemma":0.38129896,"teacher_disagreement_score":0.24324976,"about_ca_system_score_codex":0.002398435,"about_ca_system_score_gemma":0.00012730587,"threshold_uncertainty_score":0.69432575},"labels":[],"label_agreement":null},{"id":"W4385253288","doi":"10.1007/s11356-023-28841-x","title":"Modeling and exploring the coordination relationship between green infrastructure and land use eco-efficiency: an urban agglomeration perspective","year":2023,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Urban agglomeration; Sustainable development; Beijing; Environmental economics; Land use; Economies of agglomeration; Sustainability; Business; Environmental resource management; Computer science; Economic geography; Geography; Ecology; Civil engineering; Economics; Economic growth; Engineering","score_opus":0.2765429363977186,"score_gpt":0.3126183472969874,"score_spread":0.0360754108992688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385253288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763775,0.00020150142,0.00023088745,0.0014384107,0.000040306506,0.00023397492,0.00005107232,0.000014454956,0.00015161534],"genre_scores_gemma":[0.9992819,0.00031998925,0.000048968337,0.00003555868,0.000066276,0.000025477402,0.000021773452,0.0000075108287,0.0001925723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892956,0.000055337303,0.00019095918,0.00041508023,0.00015435644,0.00025473555],"domain_scores_gemma":[0.9996184,0.00008164301,0.000047421567,0.00013702117,0.0000087031585,0.000106781445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002475213,0.00008194924,0.00009183674,0.00031040807,0.0012813079,0.00022097962,0.000101972386,0.00004494896,0.000020400475],"category_scores_gemma":[0.00014731738,0.000076373064,0.000011038436,0.00037244687,0.00067320827,0.0015784462,0.00015497646,0.00018272015,0.00004634911],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003474899,0.000007990904,0.9791179,0.000002659691,0.0000028146296,1.8757368e-7,0.0030461487,0.0013361685,0.00025635443,0.014831825,0.000017510283,0.0013770041],"study_design_scores_gemma":[0.00015157915,0.000057617,0.88758194,0.0000031754362,0.000002059343,0.0000015908112,0.0024001978,0.100540176,0.00001871194,0.009034467,0.00012539078,0.00008310881],"about_ca_topic_score_codex":0.00057519635,"about_ca_topic_score_gemma":0.000024564757,"teacher_disagreement_score":0.09920401,"about_ca_system_score_codex":0.00034011155,"about_ca_system_score_gemma":0.000014588593,"threshold_uncertainty_score":0.9854914},"labels":[],"label_agreement":null},{"id":"W4385268359","doi":"10.2139/ssrn.4514225","title":"Distinguishing between Intrinsic and Instrumental Sources of the Value of Choice","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Value (mathematics); Instrumental variable; Intrinsic value (animal ethics); Econometrics; Economics; Positive economics; Psychology; Statistics; Mathematics; Political science; Law","score_opus":0.059000494769331814,"score_gpt":0.22526222801993742,"score_spread":0.16626173325060561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385268359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99556005,0.002657828,0.000338416,0.00033310297,0.000406309,0.00015050881,0.00009057902,0.000007378906,0.00045584567],"genre_scores_gemma":[0.9965386,0.0027973384,0.000072055314,0.000012413651,0.00022408075,0.0000037762081,0.00001202174,0.000028231574,0.0003115109],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823403,0.00003559981,0.0008211457,0.0002642427,0.00005815533,0.0005868278],"domain_scores_gemma":[0.99822664,0.00008261711,0.0014198596,0.00022553251,0.0000093700255,0.00003600017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018371869,0.00015745987,0.00045307798,0.00013012796,0.00011198667,0.000036973255,0.0003955427,0.00014392578,0.0000150423],"category_scores_gemma":[0.00016607146,0.00015061889,0.0001789875,0.0000723359,0.0001278873,0.000089442416,0.0005244407,0.001386611,0.000011241271],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027488702,0.000014246807,0.93689644,0.000045326746,0.00020560138,6.7537584e-8,0.0002467305,0.00034355008,0.0000041909916,0.059343394,0.0000061400037,0.0028915654],"study_design_scores_gemma":[0.00026168633,0.000045730005,0.6637745,0.00006517423,0.000031637683,0.0000071807076,0.0003375799,0.00014809906,0.000053020918,0.3350771,0.0000844076,0.00011389501],"about_ca_topic_score_codex":0.001076788,"about_ca_topic_score_gemma":0.0002052985,"teacher_disagreement_score":0.2757337,"about_ca_system_score_codex":0.0006513242,"about_ca_system_score_gemma":0.00019046264,"threshold_uncertainty_score":0.61420596},"labels":[],"label_agreement":null},{"id":"W4385287065","doi":"10.1080/07011784.2023.2234855","title":"Water quality advisory impacts on recreation behaviour and associated economic costs","year":2023,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Alberta Biodiversity Monitoring Institute; Global Institute for Water Security; University of Alberta; University of Saskatchewan","funders":"Global Water Futures","keywords":"Recreation; Advisory committee; Water quality; Quality (philosophy); Economic impact analysis; Business; Natural resource economics; Environmental science; Economics; Political science; Management","score_opus":0.06692251039798411,"score_gpt":0.22764371905409836,"score_spread":0.16072120865611425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385287065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942654,0.00041038013,0.0000033741542,0.0012642675,0.00032515597,0.00023963168,0.00034083906,0.00006343873,0.003087539],"genre_scores_gemma":[0.99562454,0.00092971977,0.000019162238,0.00037625074,0.0002577381,0.000024560537,0.00029487937,0.00007873145,0.0023944334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708045,0.00015568204,0.00094757776,0.00057835714,0.000042509557,0.0011954345],"domain_scores_gemma":[0.9980777,0.00006644518,0.00033211123,0.00032807406,0.000031095715,0.0011645643],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021702964,0.00033519947,0.00055452914,0.000987407,0.0008641125,0.00040273299,0.00032047517,0.00025202634,0.00057992124],"category_scores_gemma":[0.00012982586,0.00030568137,0.00016240704,0.00010108588,0.0002337684,0.00046626382,0.000052267675,0.00039323702,0.0009204487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006404515,0.00003515134,0.7924522,0.000056582718,0.00025375444,0.00019484998,0.20081328,0.0023868042,0.00045612614,0.00026194425,0.00023577658,0.002789498],"study_design_scores_gemma":[0.0010723487,0.00039835458,0.73035574,0.00021021313,0.000037882528,0.00019292661,0.0013400189,0.0011898482,0.0016336462,0.00824355,0.25432414,0.001001327],"about_ca_topic_score_codex":0.18138869,"about_ca_topic_score_gemma":0.3798627,"teacher_disagreement_score":0.25408837,"about_ca_system_score_codex":0.0036671548,"about_ca_system_score_gemma":0.0000058764135,"threshold_uncertainty_score":0.9999395},"labels":[],"label_agreement":null},{"id":"W4385465772","doi":"10.2139/ssrn.4522288","title":"Capturing Diversity: Split Systems and Circular Approximations for Conservation","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Set (abstract data type); Context (archaeology); Diversity (politics); Graph; Mathematics; Population; Approximation algorithm; Algorithm; Applied mathematics; Computer science; Statistics; Mathematical optimization; Combinatorics; Biology","score_opus":0.12905912226075178,"score_gpt":0.22238354001073013,"score_spread":0.09332441774997835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385465772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83718807,0.008797072,0.15001242,0.0014890376,0.0011101505,0.00077880826,0.0002213924,0.00004925748,0.00035377764],"genre_scores_gemma":[0.99084574,0.0062324773,0.00026313332,0.00004870552,0.0002601789,0.00006730984,0.00012599351,0.000038389204,0.002118079],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982572,0.000017918475,0.00053290935,0.00037684504,0.00003982255,0.0007752746],"domain_scores_gemma":[0.999088,0.0000444908,0.0006107323,0.00018301167,0.00001926751,0.000054508255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002288256,0.00016710184,0.00034467052,0.00021343863,0.00041239845,0.00015304638,0.00018918306,0.00019395754,0.0000106024445],"category_scores_gemma":[0.000054759814,0.00021700963,0.00013586445,0.000041716365,0.000035883233,0.00017970981,0.00032388352,0.00084558345,0.00007670124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001075794,0.000030410642,0.17177807,0.0002436485,0.0005101289,6.251308e-7,0.00058076746,0.006420922,0.0000031446732,0.81974167,0.00019188762,0.00048795895],"study_design_scores_gemma":[0.00058763404,0.00004696534,0.03170126,0.00004345903,0.000049055972,0.000030561154,0.0012983987,0.03125156,0.0000013085333,0.93372184,0.0009730939,0.00029483944],"about_ca_topic_score_codex":0.0007377923,"about_ca_topic_score_gemma":0.000121684025,"teacher_disagreement_score":0.15365764,"about_ca_system_score_codex":0.0015672487,"about_ca_system_score_gemma":0.00016321735,"threshold_uncertainty_score":0.88493955},"labels":[],"label_agreement":null},{"id":"W4385479106","doi":"10.1139/cjfas-2023-0001","title":"Fishery participation and location choice model: the West Coast salmon troll commercial fishery","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Office of Education; Oregon State University; National Oceanic and Atmospheric Administration; U.S. Department of Commerce","keywords":"Fishery; Fisheries management; Profitability index; Utility maximization; Fishing; Business; Economics; Biology","score_opus":0.12498893584313582,"score_gpt":0.23742709438002732,"score_spread":0.1124381585368915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385479106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894243,0.0005860611,0.0003907517,0.007924751,0.00024104035,0.00007109422,0.000010046536,0.0000034935595,0.0013484829],"genre_scores_gemma":[0.9988704,0.00021627232,0.00011449869,0.0005078223,0.00007932188,0.0000048003826,0.0000033840051,0.000005606836,0.0001979448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992445,0.000020072852,0.00037559186,0.00013169383,0.00004220557,0.00018590727],"domain_scores_gemma":[0.9993974,0.00011673659,0.00025829003,0.00006956397,0.000011229282,0.00014680352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000956438,0.00007444631,0.00016179813,0.00013137159,0.00042273093,0.00021968619,0.00013100209,0.000038074104,0.000072558],"category_scores_gemma":[0.00023033362,0.000063219675,0.000025003916,0.00025114254,0.00038356884,0.0005395157,0.000013548015,0.000073806186,0.000017143937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028325692,0.000005125138,0.9821672,0.000007807318,0.000011324014,0.0000010446607,0.0017971742,0.0020780854,0.0000028084296,0.0016054135,0.0037618522,0.008559357],"study_design_scores_gemma":[0.00019302395,0.00009188164,0.8927684,0.000015622221,0.000009100973,0.0000051378706,0.0008972623,0.095792525,0.0000028719558,0.0067653283,0.0033675958,0.000091278256],"about_ca_topic_score_codex":0.0045714267,"about_ca_topic_score_gemma":0.022093587,"teacher_disagreement_score":0.09371444,"about_ca_system_score_codex":0.0000516086,"about_ca_system_score_gemma":0.00010762398,"threshold_uncertainty_score":0.99575067},"labels":[],"label_agreement":null},{"id":"W4385560085","doi":"10.2139/ssrn.4526287","title":"Operational Transparency: Showing We Are Different","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transparency (behavior); Business; Computer science; Computer security","score_opus":0.0846929995669153,"score_gpt":0.21792490377820037,"score_spread":0.13323190421128506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385560085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98421127,0.0028867663,0.006383207,0.004360518,0.00039708524,0.00009113988,0.000026847227,0.00003992423,0.0016032727],"genre_scores_gemma":[0.98467684,0.011089451,0.000023338192,0.00011355856,0.00023129059,0.000012040123,0.000028907893,0.00002170028,0.0038028813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982787,0.000015046668,0.00042877122,0.00022629151,0.00004484457,0.0010063726],"domain_scores_gemma":[0.99963117,0.00001995066,0.00017573091,0.00010953085,0.000005294073,0.0000583366],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009243172,0.000120623125,0.00020806961,0.00015762368,0.00021799878,0.000059281097,0.00016603574,0.000060052178,0.0005021807],"category_scores_gemma":[0.000016853095,0.00012834044,0.00012204989,0.00010605412,0.000022089354,0.0002560263,0.000020154452,0.0005479729,0.0015182667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009449357,0.000058213744,0.4004649,0.0000065277295,0.00013709921,0.000001989583,0.00036115223,0.0018169351,0.00006310368,0.59349805,0.00049424404,0.003088315],"study_design_scores_gemma":[0.00084536726,0.00011387655,0.30122906,0.000017645652,0.000010761679,0.000042549436,0.0013141083,0.0033950382,0.00004690772,0.68849105,0.004193332,0.0003002879],"about_ca_topic_score_codex":0.000017870872,"about_ca_topic_score_gemma":0.00014227466,"teacher_disagreement_score":0.09923584,"about_ca_system_score_codex":0.00084035646,"about_ca_system_score_gemma":0.000082397135,"threshold_uncertainty_score":0.9992592},"labels":[],"label_agreement":null},{"id":"W4385582538","doi":"10.1177/00222429231195564","title":"Measuring Willingness to Pay: A Comparative Method of Valuation","year":2023,"lang":"en","type":"article","venue":"Journal of Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada); Concordia University","funders":"","keywords":"Willingness to pay; Ambiguity; Conceptualization; CLARITY; Valuation (finance); Situational ethics; Conjoint analysis; Contingent valuation; Computer science; Preference; Econometrics; Economics; Microeconomics; Psychology; Social psychology; Artificial intelligence","score_opus":0.322584910119521,"score_gpt":0.30234542281785504,"score_spread":0.02023948730166597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385582538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9467694,0.00012375352,0.049505964,0.00034076284,0.00029314173,0.00008566033,0.0000084407775,0.0000059018944,0.0028669746],"genre_scores_gemma":[0.9824687,0.000061158586,0.017148465,0.000038269798,0.00010358653,0.0000025007987,0.0000013218053,0.000009097542,0.00016689513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987982,0.00011909036,0.00079571945,0.000112157795,0.000060335264,0.00011447763],"domain_scores_gemma":[0.9985762,0.000380566,0.00087645056,0.00007943795,0.000038769103,0.00004857987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011168703,0.00006615652,0.00032289675,0.00022018823,0.000045610093,0.000016070493,0.00010702469,0.000032303353,0.00011888135],"category_scores_gemma":[0.00060898694,0.00006517193,0.000095897594,0.0002081624,0.000010988205,0.00017673611,0.00003752484,0.000093865405,0.00009047143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034079351,0.00011271327,0.8186682,0.00011405437,0.00023519894,0.0000042047564,0.005868659,0.13624008,0.0028666342,0.0025876062,0.0012740626,0.031687815],"study_design_scores_gemma":[0.0004984651,0.000068858375,0.9568211,0.00009154937,0.000011336064,0.0000071663235,0.0007282653,0.037090737,0.0007211864,0.0028614202,0.000993007,0.00010694312],"about_ca_topic_score_codex":0.000009949038,"about_ca_topic_score_gemma":0.0000016752333,"teacher_disagreement_score":0.13815288,"about_ca_system_score_codex":0.00011000845,"about_ca_system_score_gemma":0.000012560577,"threshold_uncertainty_score":0.3870872},"labels":[],"label_agreement":null},{"id":"W4385605492","doi":"10.1016/j.resenv.2023.100132","title":"What can egocentric network measures contribute to stated preference analyses? An exploration","year":2023,"lang":"en","type":"article","venue":"Resources Environment and Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Status quo; Contingent valuation; Bequest; Preference; Status quo bias; Willingness to pay; Social preferences; Altruism (biology); Valuation (finance); Economics; Social network (sociolinguistics); Revealed preference; Microeconomics; Public economics; Social psychology; Psychology; Econometrics; Computer science; Political science","score_opus":0.15613067274040487,"score_gpt":0.26444841176406164,"score_spread":0.10831773902365677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385605492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99112767,0.0009828794,0.005145717,0.0017920644,0.000097822915,0.0006468902,0.000047114438,0.00006814208,0.00009170875],"genre_scores_gemma":[0.9954338,0.002597967,0.00007137863,0.00016319395,0.00007774437,0.0001087355,0.00016630035,0.000020699734,0.0013601466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814326,0.00010087634,0.0005287166,0.00066615443,0.00008582238,0.00047518057],"domain_scores_gemma":[0.9990887,0.00005915702,0.00018522564,0.00041350492,0.000012915169,0.00024046875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012764297,0.00019986638,0.00034144946,0.00016129969,0.00026542033,0.0002578392,0.00015229237,0.00009462407,0.00014882855],"category_scores_gemma":[0.000098138225,0.0002228993,0.000061397244,0.00027631645,0.000082672464,0.0012583293,0.00014438885,0.000102253885,0.00014324626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007298879,0.0001137773,0.81988144,0.000041576997,0.000061930616,0.000004159191,0.005350659,0.16298099,0.00001557711,0.0025677027,0.00032231733,0.008586869],"study_design_scores_gemma":[0.000545928,0.00022086382,0.91630334,0.0000086926975,0.000019318119,5.277406e-7,0.0058121644,0.009762771,0.000030180783,0.03927649,0.027632426,0.00038730414],"about_ca_topic_score_codex":0.00026297104,"about_ca_topic_score_gemma":0.000082181934,"teacher_disagreement_score":0.15321821,"about_ca_system_score_codex":0.0007977678,"about_ca_system_score_gemma":0.000010914772,"threshold_uncertainty_score":0.90895694},"labels":[],"label_agreement":null},{"id":"W4385664697","doi":"10.1111/cobi.14160","title":"Review of terrestrial temporarily conserved areas in Canada, the United States, and Mexico","year":2023,"lang":"en","type":"review","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Geography; Habitat; Cornerstone; Conservation biology; Conservation status; Environmental resource management; Environmental planning; Ecology; Environmental protection; Biology; Environmental science; Archaeology","score_opus":0.2729226428095999,"score_gpt":0.29053005045161,"score_spread":0.01760740764201013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385664697","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022908677,0.99478614,0.000011642695,0.0012013223,0.00028414917,0.0006894011,0.00058085733,0.0000071136064,0.00014848672],"genre_scores_gemma":[0.00011695433,0.99485195,0.000011382908,0.0020179742,0.000024288527,0.000102760445,0.002778251,0.000019180276,0.00007728932],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.997959,0.00016216718,0.0013991102,0.00031097743,0.000015572046,0.00015315691],"domain_scores_gemma":[0.9980565,0.00050370104,0.0011283903,0.00026900697,0.000009358434,0.000033044667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000980224,0.00018520457,0.0011682553,0.00018603759,0.000034780718,0.000007919709,0.00019446504,0.00014637265,0.00012638271],"category_scores_gemma":[0.0002858413,0.00015736933,0.00008454637,0.00032909957,0.00011989292,0.000037061167,0.000074399526,0.00016596059,0.000048990067],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026866763,0.00007319726,0.71938694,0.06274999,0.00070113974,0.0000076145748,0.00012246502,0.000029817842,1.3583156e-7,0.036085397,0.09334293,0.08747349],"study_design_scores_gemma":[0.0002221964,0.00001786733,0.008304174,0.0056271534,0.00003477585,0.0000028122165,0.00002358419,0.00023813681,5.5382518e-8,0.0015035266,0.9838615,0.00016421298],"about_ca_topic_score_codex":0.69343644,"about_ca_topic_score_gemma":0.2961847,"teacher_disagreement_score":0.8905186,"about_ca_system_score_codex":0.00027879176,"about_ca_system_score_gemma":0.00043199587,"threshold_uncertainty_score":0.7166581},"labels":[],"label_agreement":null},{"id":"W4385716505","doi":"10.2196/46056","title":"Patient and Public Acceptance of Digital Technologies in Health Care: Protocol for a Discrete Choice Experiment","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; Universität Greifswald; Universität Rostock","keywords":"Psychological intervention; Medicine; Health care; Health technology; Neurorehabilitation; Population; Health informatics; Digital health; Public health; Nursing; Applied psychology; Psychology; Rehabilitation; Physical therapy; Environmental health","score_opus":0.3947008055518916,"score_gpt":0.4815083526596711,"score_spread":0.08680754710777955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385716505","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013628772,0.000017860932,0.000052712792,0.0013587454,0.0000033607303,0.9839838,0.00010885724,0.00005522229,0.00079064106],"genre_scores_gemma":[0.1464026,0.0000018554016,0.0001923387,0.000006638353,0.00000999317,0.85326725,0.00001344588,0.000016453901,0.00008943334],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984252,0.00002850762,0.00060836127,0.00040045546,0.00007950297,0.00045801155],"domain_scores_gemma":[0.999303,0.00009293836,0.00023262492,0.00029096633,0.000023158214,0.000057313304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071509037,0.000102574835,0.0002566352,0.00038972875,0.00010075401,0.00011017329,0.00019931105,0.00007438735,0.00003680208],"category_scores_gemma":[0.00020113119,0.000106771186,0.000042211963,0.0003593041,0.00016930138,0.00039770294,0.00027072296,0.00014636382,0.000048557926],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025686115,0.00062991807,0.8790847,0.0026714017,0.000023402998,0.0000012911652,0.004120551,0.000050143644,0.00012447803,0.040850714,0.0053202207,0.066866286],"study_design_scores_gemma":[0.0074198674,0.0045683966,0.106950216,0.00092839065,1.9347577e-7,9.3455196e-7,0.012295569,0.0013981693,0.0022873285,0.030076722,0.8335369,0.0005372807],"about_ca_topic_score_codex":0.000030892057,"about_ca_topic_score_gemma":0.000017486816,"teacher_disagreement_score":0.82821673,"about_ca_system_score_codex":0.000336902,"about_ca_system_score_gemma":0.000048027996,"threshold_uncertainty_score":0.43540025},"labels":[],"label_agreement":null},{"id":"W4385758383","doi":"10.29393/tmudec-28ml1md28","title":"Multiple discrete continuous choice modeling through additively and non-additively separable functional forms.","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Separable space; Welfare; Complementarity (molecular biology); Flexibility (engineering); Function (biology); Econometrics; Discrete choice; Economics; Computer science; Mathematics; Mathematical optimization; Microeconomics; Mathematical economics; Statistics","score_opus":0.08301772066044352,"score_gpt":0.24030465031884674,"score_spread":0.1572869296584032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385758383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8601657,0.0006670875,0.011447568,0.00007545026,0.0011985813,0.00071414845,0.002235741,0.00012707633,0.123368606],"genre_scores_gemma":[0.91408867,0.0010605499,0.0007322569,0.00015885536,0.00025506457,0.00026555284,0.010169636,0.00011960112,0.073149815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978241,0.000009045072,0.000844969,0.00086510816,0.000065858476,0.00039095894],"domain_scores_gemma":[0.9989965,0.00015818657,0.00051591615,0.00021401414,0.000027543243,0.00008784296],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028167828,0.0003868476,0.00066239253,0.00017644123,0.0002760644,0.000112439906,0.00013487422,0.00035642827,0.0019871846],"category_scores_gemma":[0.00012193318,0.0004522096,0.00018401947,0.00011034622,0.00004358629,0.00072775176,0.000053971726,0.00029122035,0.0022439503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013434921,0.0010075343,0.6478981,0.0018644603,0.0045608548,0.000034772853,0.016506722,0.08401253,0.0004084991,0.10811269,0.12183366,0.012416693],"study_design_scores_gemma":[0.002904395,0.0001730682,0.6821745,0.00018782583,0.00008825296,0.0000042270535,0.0052460562,0.27034903,0.00019882008,0.024347775,0.012566133,0.0017599188],"about_ca_topic_score_codex":0.0017269169,"about_ca_topic_score_gemma":0.0009811989,"teacher_disagreement_score":0.1863365,"about_ca_system_score_codex":0.00021301662,"about_ca_system_score_gemma":0.000028731418,"threshold_uncertainty_score":0.999793},"labels":[],"label_agreement":null},{"id":"W4385807954","doi":"10.1080/00036846.2023.2244255","title":"It’s all relative: consistent marginal effects with willingness to pay and willingness to accept framing in experimental auctions","year":2023,"lang":"en","type":"article","venue":"Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Willingness to pay; Willingness to accept; Economics; Contingent valuation; Common value auction; Framing effect; Incentive compatibility; Framing (construction); Incentive; Microeconomics; Econometrics; Social psychology; Persuasion; Psychology","score_opus":0.05566514083538886,"score_gpt":0.23395304921525856,"score_spread":0.1782879083798697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385807954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98958546,0.000070459304,0.002262767,0.0014147538,0.00029917996,0.0007929448,0.000035740195,0.000052099018,0.005486622],"genre_scores_gemma":[0.99503565,0.00011911466,0.0023814405,0.0013893797,0.00007401441,0.00040642425,0.00004903137,0.000055512348,0.0004894116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982707,0.000010037343,0.00056140113,0.00072302675,0.000024352945,0.00041050414],"domain_scores_gemma":[0.9992453,0.00010694662,0.0001735403,0.0002756812,0.000004431251,0.00019408879],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041258862,0.0002498386,0.00044988355,0.00024201706,0.0001381783,0.00009268163,0.0001568883,0.00011299873,0.00010051511],"category_scores_gemma":[0.0000144166415,0.00027991517,0.000045978555,0.00020985566,0.00007057501,0.00028160334,0.00015660923,0.0001593771,0.0012628051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002901893,0.00032771242,0.6238088,0.0001092126,0.00029071016,0.000011326856,0.014952705,0.14708766,0.0005721555,0.2060134,0.001170755,0.0053653577],"study_design_scores_gemma":[0.003169328,0.00037615813,0.93787587,0.000065960194,0.0000279035,0.000012636278,0.003445206,0.0077182567,0.0024065909,0.011501841,0.032016553,0.0013836895],"about_ca_topic_score_codex":0.000083342544,"about_ca_topic_score_gemma":0.00009542809,"teacher_disagreement_score":0.31406707,"about_ca_system_score_codex":0.00045818443,"about_ca_system_score_gemma":0.000015888649,"threshold_uncertainty_score":0.9999653},"labels":[],"label_agreement":null},{"id":"W4385820493","doi":"10.2139/ssrn.4521489","title":"Reply to “How to Discount Monetized Ecosystem Services - Comment on ‘high Economic Costs of Reduced Carbon Sinks and Declining Biome Stability in Central American Forests'”","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biome; Ecosystem services; Natural resource economics; Ecosystem; Carbon sink; Business; Economics; Environmental resource management; Environmental science; Environmental economics; Ecology; Biology","score_opus":0.02898012975512552,"score_gpt":0.2316051964991316,"score_spread":0.2026250667440061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385820493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99097586,0.00013189955,0.00008044602,0.008031051,0.00021542823,0.00037369324,0.00008168055,0.000013498349,0.00009644604],"genre_scores_gemma":[0.9986615,0.00066344556,0.00005425205,0.00044935613,0.00007217982,0.000026733605,0.000019560524,0.000026076888,0.000026857653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976413,0.000054217828,0.00073741126,0.00042982743,0.000048425663,0.0010887899],"domain_scores_gemma":[0.99905455,0.000074134,0.00046651144,0.00024843446,0.0000066456587,0.00014973928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021048232,0.00017296922,0.00049265,0.00036279482,0.00006983839,0.000057731308,0.00019690226,0.00004726727,0.000012873318],"category_scores_gemma":[0.0000275776,0.00019518065,0.00006738953,0.0001956234,0.000030445037,0.00013125836,0.00008043781,0.0003457657,0.00004556568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033448555,0.00010783636,0.9610343,0.000030940497,0.00013881075,0.0000015972561,0.001621731,0.008766855,0.0003410823,0.023317501,0.000050094706,0.004254753],"study_design_scores_gemma":[0.0019002447,0.001519687,0.95756596,0.0000988702,0.000014108218,0.000010486721,0.0061254385,0.010596058,0.00055257935,0.02037263,0.0007818829,0.0004620223],"about_ca_topic_score_codex":0.005405844,"about_ca_topic_score_gemma":0.011962759,"teacher_disagreement_score":0.0076856804,"about_ca_system_score_codex":0.0037608633,"about_ca_system_score_gemma":0.00010380713,"threshold_uncertainty_score":0.9834527},"labels":[],"label_agreement":null},{"id":"W4385949431","doi":"10.21203/rs.3.rs-3253614/v1","title":"What Type of Vehicles Do Households Own? A Joint Model for Vehicle Body, Vintage, Fuel, and Technology Types","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; Okanagan University College; University of British Columbia","funders":"Environment and Climate Change Canada","keywords":"Alternative fuel vehicle; Fuel efficiency; Electric vehicle; Multinomial logistic regression; Multinomial probit; Vehicle type; Business; Vintage; Sustainable transport; Transport engineering; Environmental economics; Engineering; Economics; Alternative fuels; Probit model; Automotive engineering; Econometrics; Computer science; Sustainability; Diesel fuel; Geography","score_opus":0.33132105703175546,"score_gpt":0.354299827942487,"score_spread":0.022978770910731527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385949431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854395,0.009799505,0.0006186153,0.0018970298,0.00032853632,0.0010160242,0.000491383,0.00006626599,0.00034317546],"genre_scores_gemma":[0.98212546,0.014816538,0.0006381981,0.000016520673,0.000069818925,0.00023093946,0.00009165704,0.000067493005,0.0019433909],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998264,0.000028313836,0.00056417397,0.0006714742,0.00008432756,0.00038767233],"domain_scores_gemma":[0.99889845,0.00011408781,0.00025212244,0.0005709482,0.00008777843,0.00007664087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016580961,0.00017440353,0.0005022166,0.0005917153,0.000102370155,0.00014495382,0.00028956178,0.00044271228,0.00006684159],"category_scores_gemma":[0.00024187377,0.00020329945,0.000097549026,0.00022773008,0.00024830297,0.00020329455,0.00092340563,0.00048245536,0.00022766575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003988132,0.0009372306,0.6017313,0.009768205,0.0010027443,0.00001528002,0.0057907384,0.050462935,0.0028785137,0.29776984,0.01416238,0.015082037],"study_design_scores_gemma":[0.0008526988,0.00044533398,0.06500481,0.00050249416,0.00001748798,0.0000014009952,0.0012769189,0.32335436,0.0006499347,0.60570514,0.0017198403,0.00046957796],"about_ca_topic_score_codex":0.00013737779,"about_ca_topic_score_gemma":0.000038659382,"teacher_disagreement_score":0.5367265,"about_ca_system_score_codex":0.00023694383,"about_ca_system_score_gemma":0.00006971127,"threshold_uncertainty_score":0.8290311},"labels":[],"label_agreement":null},{"id":"W4386073590","doi":"10.1111/csp2.13007","title":"Spatializing oil and gas subsidies in endangered caribou habitat: Identifying political‐economic drivers of defaunation","year":2023,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subsidy; Natural resource economics; Endangered species; Habitat; Habitat conservation; Biodiversity; Conservation Plan; Stewardship (theology); Politics; Business; Fossil fuel; Government (linguistics); Geography; Environmental resource management; Environmental planning; Political science; Economics; Ecology; Market economy","score_opus":0.19244834707369507,"score_gpt":0.3094375131108072,"score_spread":0.11698916603711212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386073590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858562,0.00029860123,0.00012837684,0.006587321,0.00015711942,0.000050164115,0.000023351222,0.000012450037,0.0068864515],"genre_scores_gemma":[0.9976,0.001366992,0.000553796,0.00035547852,0.000013705437,0.0000069313696,0.000011898109,0.0000051645575,0.00008601294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999078,0.000027847953,0.00037773672,0.00028104344,0.00005279085,0.00018261779],"domain_scores_gemma":[0.99908453,0.00044951795,0.0002761415,0.000104129256,0.000033166027,0.000052530824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002782683,0.000065707965,0.0001464304,0.00035353418,0.00014141786,0.00009226172,0.00007715016,0.000037768034,0.000029847204],"category_scores_gemma":[0.0014643859,0.00008493752,0.000013916336,0.0002902458,0.0003253318,0.0018141847,0.0000671898,0.000054050754,0.00007841592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012154079,0.000012307626,0.7191424,0.000034000586,0.000007931003,0.0000010543569,0.002542264,0.000057142817,0.00093355915,0.27282217,0.00009203328,0.0043430226],"study_design_scores_gemma":[0.00043940044,0.000024514462,0.96406305,0.000023881204,0.000007940624,0.0000067369215,0.004198743,0.014625294,0.00052060524,0.013304974,0.0026401083,0.000144734],"about_ca_topic_score_codex":0.00208502,"about_ca_topic_score_gemma":0.00031973058,"teacher_disagreement_score":0.2595172,"about_ca_system_score_codex":0.00015510639,"about_ca_system_score_gemma":0.000051246177,"threshold_uncertainty_score":0.34636518},"labels":[],"label_agreement":null},{"id":"W4386220137","doi":"10.1080/09537287.2023.2248942","title":"Smart heuristics for decision-making in the ‘wild’: Navigating cost uncertainty in the construction of large-scale transport projects","year":2023,"lang":"en","type":"article","venue":"Production Planning & Control","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Heuristics; Computer science; Toolbox; Operations research; Cost contingency; Ranking (information retrieval); Scale (ratio); Contingency; Probabilistic logic; Cost estimate; Management science; Risk analysis (engineering); Engineering; Machine learning; Artificial intelligence; Systems engineering; Cost engineering; Business","score_opus":0.062360855598721544,"score_gpt":0.2796251069133151,"score_spread":0.21726425131459356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386220137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831132,0.00017717869,0.013446403,0.0012265547,0.00048589354,0.0011837258,0.00011783475,0.000018450997,0.00023075078],"genre_scores_gemma":[0.99857897,0.00003509539,0.0007315686,0.00018055455,0.00012646208,0.00026416127,0.000060440907,0.000011445005,0.000011327176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987411,0.0000446329,0.0006253496,0.00030877735,0.000058382262,0.00022174901],"domain_scores_gemma":[0.9990203,0.00043041477,0.00032049709,0.00020344122,0.000014758738,0.000010586559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00319109,0.000101307625,0.00023556393,0.00012850894,0.00014104345,0.000022167016,0.00015317892,0.000059123242,0.000011039057],"category_scores_gemma":[0.00044827253,0.000086112326,0.000063791726,0.00032084415,0.000053654356,0.00014644893,0.000007758271,0.00019025167,0.000014725946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085484375,0.00006192901,0.907571,0.000035358436,0.000013359118,0.0000013457984,0.006902622,0.07745441,0.000015547685,0.0026867592,0.00026745143,0.004904716],"study_design_scores_gemma":[0.0013912856,0.00007308253,0.87618667,0.00020668688,0.000017245953,0.000013326098,0.009677934,0.09928777,0.0000136025365,0.010294382,0.0026536258,0.00018438633],"about_ca_topic_score_codex":0.00005607895,"about_ca_topic_score_gemma":0.00006130322,"teacher_disagreement_score":0.031384345,"about_ca_system_score_codex":0.00008282037,"about_ca_system_score_gemma":0.000014098587,"threshold_uncertainty_score":0.35115588},"labels":[],"label_agreement":null},{"id":"W4386395378","doi":"10.1016/j.ecolecon.2023.107978","title":"Indigenous people's perceptions of benefits and costs of China's second phase of the grain for green program and the influencing factors","year":2023,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Sichuan Agricultural University; University of Toronto","keywords":"Ordered probit; Probit model; Multivariate probit model; Perception; China; Safety net; Indigenous; Sustainability; Psychological intervention; Public economics; Socioeconomics; Economics; Economic inequality; Psychology; Demographic economics; Inequality; Geography; Political science; Ecology","score_opus":0.056119187511537695,"score_gpt":0.2445566391289194,"score_spread":0.1884374516173817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386395378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764025,0.00016088122,0.000012462313,0.00019348932,0.00009097619,0.0009115653,0.00067972456,0.000009789678,0.00030087994],"genre_scores_gemma":[0.99912924,0.0005250583,0.00010502255,0.000038036305,0.000015088935,0.00008148397,0.000030395895,0.000010602884,0.000065089844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989564,0.00002220935,0.0006243677,0.00022048644,0.0000126640825,0.00016386081],"domain_scores_gemma":[0.9989765,0.00025530736,0.0005430398,0.00017756337,0.000009024088,0.000038532617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006829456,0.000110888344,0.00043508608,0.000074485695,0.00013067815,0.0000132118275,0.00016474306,0.000103669576,0.00011072672],"category_scores_gemma":[0.00009846605,0.00008217499,0.000125446,0.00008523654,0.0003296528,0.00009918302,0.00013341857,0.00007677778,0.0000040229415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041919026,0.00015553446,0.9426669,0.00005027784,0.00007157149,2.674102e-8,0.0036276372,0.0008511279,0.00003150719,0.043899562,0.0000181353,0.008585832],"study_design_scores_gemma":[0.0015916163,0.00025663932,0.983511,0.0000063184457,0.0000149965035,9.408436e-7,0.0006931897,0.004399325,0.00006250249,0.00926566,0.00010635619,0.000091510745],"about_ca_topic_score_codex":0.00019962498,"about_ca_topic_score_gemma":0.0006218391,"teacher_disagreement_score":0.04084408,"about_ca_system_score_codex":0.00007115144,"about_ca_system_score_gemma":0.000014080301,"threshold_uncertainty_score":0.3350999},"labels":[],"label_agreement":null},{"id":"W4386412814","doi":"10.1016/j.cosust.2023.101334","title":"Auctions in payments for ecosystem services and the plural values of nature","year":2023,"lang":"en","type":"article","venue":"Current Opinion in Environmental Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; HORIZON EUROPE Framework Programme; Global Affairs Canada","keywords":"Common value auction; Payment; Ecosystem services; Information asymmetry; Plural; Transparency (behavior); Business; Payment for ecosystem services; Valuation (finance); Restructuring; Microeconomics; Sustainability; Industrial organization; Environmental economics; Economics; Environmental resource management; Ecosystem; Computer science; Ecology; Finance","score_opus":0.04319851536073637,"score_gpt":0.2727356683566524,"score_spread":0.22953715299591604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386412814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99481386,0.0022183978,0.000067007895,0.0007026974,0.00082542124,0.0010265465,0.00030418372,0.000009283991,0.000032625336],"genre_scores_gemma":[0.9982668,0.001199134,0.000014735724,0.0000090749145,0.000044461965,0.0002628873,0.00013491217,0.000009564972,0.000058422713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881464,0.000047634978,0.0005672556,0.00033241994,0.000036457765,0.00020156737],"domain_scores_gemma":[0.9994654,0.00011138387,0.00019639982,0.00019598262,0.0000025064746,0.000028305742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010585331,0.00011244421,0.00025948702,0.00013043197,0.00006895894,0.000017099139,0.00012405225,0.00008471653,0.00003319812],"category_scores_gemma":[0.000038475704,0.00010585067,0.0000743327,0.000118711425,0.00013652859,0.000255818,0.000120384975,0.00014399465,0.000011229513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047894646,0.00012351025,0.9831501,0.0004299263,0.000008205193,3.5240543e-8,0.0009847201,0.0012515116,0.0000017663657,0.012920464,0.00003695025,0.00104492],"study_design_scores_gemma":[0.0017977966,0.00002689593,0.9175943,0.000028792414,0.0000021942772,3.4812248e-7,0.0029981704,0.009768688,0.0000086379605,0.06422224,0.0034447666,0.00010716669],"about_ca_topic_score_codex":0.00008361376,"about_ca_topic_score_gemma":0.00001831823,"teacher_disagreement_score":0.065555796,"about_ca_system_score_codex":0.000690173,"about_ca_system_score_gemma":0.000006169804,"threshold_uncertainty_score":0.4316465},"labels":[],"label_agreement":null},{"id":"W4386419038","doi":"10.1111/cjag.12336","title":"Willingness to pay for credence attributes associated with agri‐food products—Evidence from Canada","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Credence; Willingness to pay; Product (mathematics); Business; Certainty; Preference; Marketing; Sample (material); Economics; Microeconomics; Mathematics","score_opus":0.11070134963264917,"score_gpt":0.16823244436376933,"score_spread":0.057531094731120155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386419038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98078024,0.0004536435,0.000072780065,0.012270392,0.0019481379,0.00064149394,0.0036953387,0.00001781404,0.000120133554],"genre_scores_gemma":[0.9967261,0.00009836838,0.00034682735,0.00055463315,0.0007284548,0.00007161849,0.00039247092,0.00005214493,0.0010294031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966942,0.000025869169,0.0014377274,0.0007477496,0.000017401544,0.0010770682],"domain_scores_gemma":[0.9963193,0.00041395274,0.0012822816,0.00036151346,0.0001892558,0.0014337065],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086666486,0.00041280524,0.00096304016,0.0003097668,0.00035660065,0.00022113026,0.0007809262,0.0001584493,0.00022398314],"category_scores_gemma":[0.0008299223,0.00036928715,0.00019138725,0.00037432762,0.00007976599,0.0008930109,0.00003889839,0.00026775178,0.00013614722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014364133,0.00004455437,0.8174823,0.00009990609,0.0014524851,0.000067322115,0.003420973,0.114931375,0.00015197002,0.012440006,0.048700202,0.0010652769],"study_design_scores_gemma":[0.00078732637,0.00064203667,0.97823495,0.00020241592,0.000054856264,0.000037179638,0.0011079276,0.00031781386,0.00025905448,0.002714827,0.014854264,0.0007873555],"about_ca_topic_score_codex":0.6256997,"about_ca_topic_score_gemma":0.9934711,"teacher_disagreement_score":0.3677714,"about_ca_system_score_codex":0.005388664,"about_ca_system_score_gemma":0.0014035555,"threshold_uncertainty_score":0.9998759},"labels":[],"label_agreement":null},{"id":"W4386577693","doi":"10.1016/j.landusepol.2023.106885","title":"Policy development to support ecosystem services on pasture systems in Saskatchewan: A case study","year":2023,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Cattlemen's Association","keywords":"Ecosystem services; Grassland; Business; Incentive; Ecosystem; Wildlife; Hectare; Agroforestry; Habitat; Environmental resource management; Willingness to accept; Natural resource economics; Agriculture; Willingness to pay; Geography; Environmental science; Ecology; Economics","score_opus":0.08996658235173152,"score_gpt":0.26555162521306835,"score_spread":0.17558504286133683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386577693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977966,0.000017096212,0.000012730251,0.00033733912,0.00017625326,0.00067328144,0.00022333815,0.00005709639,0.0007062864],"genre_scores_gemma":[0.99664193,0.000013113157,0.000045117857,0.0005040239,0.00024119685,0.00018383951,0.000054364835,0.000031752243,0.0022846803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985379,0.000028739354,0.0006080433,0.00041581117,0.000042179956,0.00036730527],"domain_scores_gemma":[0.999367,0.00003273121,0.00015104264,0.00030528902,0.000005161326,0.0001387947],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005116557,0.00018198063,0.00035545736,0.00080762315,0.000093725175,0.00011915443,0.00014527177,0.00008192175,0.000031101292],"category_scores_gemma":[0.000017993028,0.00019157467,0.000039239374,0.0005091014,0.0000047735875,0.00016628245,0.00010520007,0.000089046946,0.004417113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009913903,0.00016914209,0.97757775,0.000058812133,0.00003775315,0.0002286172,0.01627333,0.004019614,0.00000122457,0.0009026666,0.00013854273,0.00058262446],"study_design_scores_gemma":[0.0013009966,0.00020542789,0.97493476,0.000038680722,0.0000034746022,0.00009953782,0.012230428,0.0011014787,0.0000049248733,0.00009271506,0.009642499,0.0003450895],"about_ca_topic_score_codex":0.042018615,"about_ca_topic_score_gemma":0.031005913,"teacher_disagreement_score":0.011012701,"about_ca_system_score_codex":0.00049895066,"about_ca_system_score_gemma":0.00006817582,"threshold_uncertainty_score":0.99635804},"labels":[],"label_agreement":null},{"id":"W4386814840","doi":"10.22434/ifamr2022-0150","title":"Cheese without cows: Consumer demand for animal-free dairy cheese made from cellular agriculture in the United Kingdom","year":2023,"lang":"en","type":"article","venue":"The International Food and Agribusiness Management Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Business; Agricultural science; Agricultural economics; Dairy industry; Livestock; Dairy cattle; Agriculture; Economics; Food science; Animal science; Biology","score_opus":0.10108813275694185,"score_gpt":0.2489078191659125,"score_spread":0.14781968640897064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386814840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640202,0.013676273,0.00022858805,0.018360984,0.00026937563,0.0011535464,0.0002849579,0.000026813057,0.0019792577],"genre_scores_gemma":[0.96396613,0.031994604,0.00008710542,0.0021541447,0.00013097795,0.00027547788,0.0008304943,0.000013182665,0.00054786046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990261,0.000026277867,0.00042851333,0.00029007532,0.00007253553,0.00015647025],"domain_scores_gemma":[0.999396,0.000060394956,0.00023162349,0.00027502247,0.000016434957,0.00002047258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009088991,0.00015085492,0.00025050956,0.00009420519,0.00010142939,0.000090610956,0.0005570083,0.000037875863,0.00014217745],"category_scores_gemma":[0.000055693672,0.00009639131,0.000076691926,0.0002773989,0.000047740592,0.00015016827,0.00020887044,0.00008595658,0.00013147727],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014521398,0.0005031722,0.1406764,0.0028977974,0.0016665332,0.00002205489,0.0010959931,0.00096871634,0.0010158753,0.6961639,0.1484806,0.00636378],"study_design_scores_gemma":[0.0011276338,0.000030117884,0.648881,0.0005583788,0.00008374644,0.000002135831,0.00020823682,0.0015109577,0.00001818812,0.017504307,0.32983652,0.00023875585],"about_ca_topic_score_codex":0.000152018,"about_ca_topic_score_gemma":0.000038160644,"teacher_disagreement_score":0.67865956,"about_ca_system_score_codex":0.000050263403,"about_ca_system_score_gemma":0.0000023276857,"threshold_uncertainty_score":0.39307237},"labels":[],"label_agreement":null},{"id":"W4386896054","doi":"10.1057/s41260-023-00326-z","title":"Risk budgeting using a generalized diversity index","year":2023,"lang":"en","type":"article","venue":"Journal of Asset Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Diversification (marketing strategy); Asset allocation; Econometrics; Attractiveness; Economics; Portfolio; Risk management; Actuarial science; Financial economics; Business; Finance; Marketing","score_opus":0.12284933160609535,"score_gpt":0.23736195565495125,"score_spread":0.1145126240488559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386896054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878187,0.00010700542,0.0077242116,0.0001522492,0.00040320796,0.000074168085,0.000013998816,0.000010126569,0.003696338],"genre_scores_gemma":[0.99613637,0.000749413,0.0023661638,0.000084869236,0.00009408919,8.0829386e-7,0.0000036676213,0.000009425947,0.00055521587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991876,0.00001858194,0.0004726201,0.00012381477,0.000051833078,0.00014553679],"domain_scores_gemma":[0.9990705,0.00001543199,0.0007524498,0.00010810832,0.0000078760695,0.000045596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012955437,0.000072232935,0.00020106476,0.00029565766,0.00016002222,0.000034942543,0.00015836992,0.000031545565,0.00021609987],"category_scores_gemma":[0.000018952598,0.00008245805,0.00011703981,0.00014870855,0.000014656894,0.0002232497,0.00028250914,0.00009311747,0.00029797206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012155556,0.000030703897,0.963578,0.0000139163985,0.00018696478,0.000019685182,0.00016912173,0.028623808,0.000006677459,0.00358464,0.0027062835,0.0010680804],"study_design_scores_gemma":[0.0009360764,0.000033497934,0.9513724,0.000011917921,0.000035162757,0.0000045288125,0.00030305225,0.029008517,0.000007690639,0.012310944,0.005853167,0.00012306651],"about_ca_topic_score_codex":0.00007833554,"about_ca_topic_score_gemma":0.000002453838,"teacher_disagreement_score":0.012205584,"about_ca_system_score_codex":0.00021605036,"about_ca_system_score_gemma":0.0000026199434,"threshold_uncertainty_score":0.38299274},"labels":[],"label_agreement":null},{"id":"W4387255542","doi":"10.2139/ssrn.4589704","title":"Do Consumers Acquire Information Optimally? Experimental Evidence from Energy Efficiency","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Efficient energy use; Energy (signal processing); Business; Computer science; Environmental economics; Economics; Engineering; Mathematics; Statistics","score_opus":0.048970207278013725,"score_gpt":0.2296364213883912,"score_spread":0.18066621411037748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387255542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97630054,0.0087934,0.011922512,0.00035101207,0.00042896363,0.00007464149,0.000022314909,0.000044115226,0.0020625247],"genre_scores_gemma":[0.98965853,0.009456474,0.00009676856,0.00012914931,0.000090734524,0.000013929944,0.00004195292,0.00001462725,0.00049780315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981836,0.000019700361,0.00054628367,0.0002096589,0.00006316424,0.0009775563],"domain_scores_gemma":[0.99935704,0.00004727003,0.0003502819,0.00016515379,0.000009075287,0.00007117535],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011319846,0.00013512486,0.00019277535,0.00020448239,0.00020285237,0.00011669326,0.00025467397,0.00007813399,0.00055927224],"category_scores_gemma":[0.000049061895,0.00015604879,0.00010589826,0.00016559078,0.000053220065,0.00130964,0.00006112665,0.00032562017,0.002582713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014556141,0.00018574508,0.20456767,0.00001018911,0.00045397432,0.000004854931,0.005262644,0.009490067,0.0011425159,0.7481852,0.0018209026,0.028730629],"study_design_scores_gemma":[0.0066525843,0.0017850634,0.18340595,0.00019697633,0.00007450218,0.00022377369,0.040197514,0.06757756,0.0037212074,0.66604567,0.027502172,0.0026170006],"about_ca_topic_score_codex":0.0003257654,"about_ca_topic_score_gemma":0.000033703516,"teacher_disagreement_score":0.08213955,"about_ca_system_score_codex":0.0012113447,"about_ca_system_score_gemma":0.0001576444,"threshold_uncertainty_score":0.9981939},"labels":[],"label_agreement":null},{"id":"W4387319031","doi":"10.2139/ssrn.4591348","title":"Size of Government and Willingness-to-Pay for Environmental Policy: Evidence from a Cross-Country Survey","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Willingness to pay; Cross country; Government (linguistics); Public economics; Survey data collection; Business; Economics; Demographic economics; Macroeconomics; Statistics","score_opus":0.0771371921525618,"score_gpt":0.2689044211208284,"score_spread":0.1917672289682666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387319031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97749794,0.0046270136,0.011001834,0.00044133802,0.0005578513,0.00047931352,0.0053452924,0.000010581819,0.000038866496],"genre_scores_gemma":[0.972948,0.023057966,0.0003767858,0.000095828706,0.00042012276,0.000056446694,0.000101140344,0.00007080199,0.0028728852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99705344,0.0000393072,0.0010155097,0.00066897116,0.00012167918,0.0011010886],"domain_scores_gemma":[0.9980185,0.00049012585,0.0010136022,0.00035039542,0.0000079800075,0.00011937921],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003902781,0.0002963602,0.00062869675,0.00008154519,0.00014004177,0.00012051388,0.00041738802,0.0002488235,0.00007696883],"category_scores_gemma":[0.00060222205,0.0003210761,0.00018364571,0.00006492517,0.000088182926,0.00020591685,0.00040295025,0.0010070731,0.00008714326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012335657,0.000054576238,0.9918289,0.00003229834,0.00030852447,3.234072e-7,0.00021329684,0.002090494,0.00009975219,0.0036081926,0.000057978585,0.0015822712],"study_design_scores_gemma":[0.0005376148,0.0001758882,0.8203812,0.00007410733,0.00002360441,0.000004549443,0.00017097754,0.00076824205,0.000060077844,0.17724712,0.00025229258,0.00030426588],"about_ca_topic_score_codex":0.0035996756,"about_ca_topic_score_gemma":0.0019520561,"teacher_disagreement_score":0.17363894,"about_ca_system_score_codex":0.0036735365,"about_ca_system_score_gemma":0.0003371184,"threshold_uncertainty_score":0.9999241},"labels":[],"label_agreement":null},{"id":"W4387401780","doi":"10.1038/s44264-023-00003-z","title":"Forest regrowth improves people’s dietary quality in Nigeria","year":2023,"lang":"en","type":"article","venue":"npj Sustainable Agriculture","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"European Commission","keywords":"Dietary diversity; Food security; Geography; Micronutrient; Agroforestry; Quality (philosophy); Diversity (politics); Consumption (sociology); Agriculture; Environmental protection; Biology; Medicine; Political science","score_opus":0.038000355708343564,"score_gpt":0.2196134350547902,"score_spread":0.18161307934644663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387401780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817556,0.00050953863,0.000029703708,0.0013022299,0.00016343336,0.0003764188,0.000032407064,0.000089836685,0.015740845],"genre_scores_gemma":[0.9756877,0.0002930925,0.000053515334,0.00017461226,0.00011369556,0.00011208925,0.00023926867,0.000018469063,0.02330756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837506,0.000026375445,0.00055382494,0.00046831128,0.00004220279,0.0005342063],"domain_scores_gemma":[0.99938864,0.000043428594,0.00021902798,0.00025591895,0.000016481705,0.00007648361],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007749116,0.00018219578,0.0003641132,0.0001680045,0.00013614923,0.00006973648,0.00019793143,0.00017858186,0.0001754123],"category_scores_gemma":[0.000107316344,0.00017149167,0.00011018647,0.00054940616,0.00003030095,0.0004809673,0.00012902882,0.00018421604,0.00097186916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012375965,0.00007275757,0.9122686,0.00011151373,0.000021238739,0.000013742254,0.0013692253,0.0009867767,0.00017463678,0.074264966,0.01056795,0.00013624481],"study_design_scores_gemma":[0.00035454123,0.00003701022,0.94284385,0.000005466995,0.0000022072534,0.0000013251016,0.007537214,0.00021442116,0.00003124468,0.04116731,0.0075469455,0.00025847732],"about_ca_topic_score_codex":0.0019159332,"about_ca_topic_score_gemma":0.0016565614,"teacher_disagreement_score":0.03309766,"about_ca_system_score_codex":0.00039067853,"about_ca_system_score_gemma":0.0000149629805,"threshold_uncertainty_score":0.999806},"labels":[],"label_agreement":null},{"id":"W4387618247","doi":"10.1093/icesjms/fsad155","title":"Exploring the limits of spatiotemporal and design-based index standardization under reduced survey coverage","year":2023,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Computer science; Population; Set (abstract data type); Index (typography); Statistics; Environmental resource management; Environmental science; Mathematics","score_opus":0.344112182971955,"score_gpt":0.27952234984257607,"score_spread":0.06458983312937894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387618247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97500056,0.000038211823,0.024064817,0.00026960453,0.00023743437,0.00006496406,0.000009789609,0.0000031704053,0.00031146017],"genre_scores_gemma":[0.99922055,0.0002920913,0.0003900357,0.000033444758,0.000023620967,0.0000014770485,0.0000022237828,0.0000049146183,0.00003162341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999242,0.0000332727,0.00041143192,0.00011913482,0.000089196255,0.00010496835],"domain_scores_gemma":[0.9990995,0.00015808061,0.0005591421,0.000100737154,0.000042662432,0.000039894854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004465712,0.000053992317,0.00014608186,0.00022543824,0.00010452227,0.00005658427,0.00018364209,0.000013827281,0.00003536117],"category_scores_gemma":[0.00022945921,0.00004619643,0.000026284308,0.00039861668,0.00016611493,0.0006638252,0.00006555089,0.00006503961,0.0000075558937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040923835,0.000017474242,0.86625737,0.000008211056,0.000010838749,6.1860993e-7,0.0002090597,0.12571283,0.00037604285,0.0009775896,0.000023878629,0.0063651763],"study_design_scores_gemma":[0.00028413848,0.00008083922,0.97894764,0.000009279751,0.000002230504,0.0000014830084,0.000053596137,0.016061049,0.0014610685,0.0030076664,0.00003940187,0.0000515893],"about_ca_topic_score_codex":0.00012193144,"about_ca_topic_score_gemma":0.000019055591,"teacher_disagreement_score":0.11269029,"about_ca_system_score_codex":0.000077106946,"about_ca_system_score_gemma":0.000060145143,"threshold_uncertainty_score":0.18838356},"labels":[],"label_agreement":null},{"id":"W4387675733","doi":"10.1016/j.eap.2023.10.005","title":"Compensation schemes for plant quarantine pest costs: A case study for Germany","year":2023,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Verbraucherschutz, Ernährung und Landwirtschaft; Ministry of Agriculture and Food","keywords":"Quarantine; Context (archaeology); Compensation (psychology); Willingness to pay; Agriculture; Business; Externality; Natural resource economics; Production (economics); Economics; Agricultural economics; Agricultural science; Geography; Microeconomics; Environmental science; Ecology; Biology","score_opus":0.096041064550838,"score_gpt":0.29234814657184705,"score_spread":0.19630708202100905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387675733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99363303,0.00010759442,0.0033351888,0.0006081399,0.00010956522,0.00067014014,0.0010408957,0.000033257096,0.00046215905],"genre_scores_gemma":[0.9976971,0.00013612212,0.00022465519,0.0001451584,0.00032124334,0.00023637174,0.00041668833,0.000021419377,0.0008012437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986746,0.000011521267,0.0006256929,0.00043479502,0.0000113074275,0.0002421186],"domain_scores_gemma":[0.9992366,0.00014298233,0.00032409246,0.00021778564,0.000006581567,0.000071991206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007512968,0.00014930843,0.00050049025,0.00066518877,0.00022746433,0.00008349556,0.000080968755,0.000058423695,0.00010890412],"category_scores_gemma":[0.000029154267,0.0001778311,0.00021669005,0.0001936775,0.000035275254,0.00016861527,0.00003669556,0.000037419086,0.00025239715],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045012996,0.00014260563,0.8805147,0.000036461315,0.0017467734,0.0000071766895,0.001675651,0.0020571488,0.000008294825,0.10903371,0.0017110069,0.0030214577],"study_design_scores_gemma":[0.004012773,0.0003541851,0.4492407,0.0000051640236,0.00055239466,0.000038021033,0.0038255376,0.49670208,0.000025112844,0.0061481167,0.03840553,0.0006903664],"about_ca_topic_score_codex":0.004032713,"about_ca_topic_score_gemma":0.0011345663,"teacher_disagreement_score":0.49464494,"about_ca_system_score_codex":0.00021953689,"about_ca_system_score_gemma":0.000016735872,"threshold_uncertainty_score":0.7251742},"labels":[],"label_agreement":null},{"id":"W4387773576","doi":"10.22541/au.169773124.41566860/v1","title":"The Global Value of Freshwater Lakes","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Ecosystem services; Valuation (finance); Natural resource economics; Population; Asset (computer security); Real estate; Value (mathematics); Business; Ecosystem; Geography; Environmental science; Economics; Ecology; Finance","score_opus":0.12046774129130894,"score_gpt":0.23494550813928602,"score_spread":0.11447776684797709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387773576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8870503,0.0019593597,0.0034054427,0.0029465954,0.0029733463,0.00045754496,0.0018111576,0.00008770061,0.09930857],"genre_scores_gemma":[0.9872946,0.0010633938,0.0007782323,0.000109072316,0.000118335236,0.00004716606,0.000111205736,0.000023788487,0.010454218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988628,0.000011064963,0.00061149907,0.00032229908,0.00002503642,0.00016728538],"domain_scores_gemma":[0.9991171,0.00004335563,0.0003575598,0.00044622883,0.0000051523784,0.000030601095],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057315873,0.00012966323,0.00027985146,0.000033040993,0.00006602769,0.00005040389,0.00033151195,0.0001546449,0.00050763634],"category_scores_gemma":[0.00003347327,0.00011085003,0.00016204998,0.00003751179,0.00008916718,0.00004183466,0.0004476154,0.00012284896,0.0024628737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004065548,0.00002062436,0.42301264,0.000030136947,0.00010823644,3.3169277e-7,0.000070476555,0.004555019,9.604578e-7,0.56614876,0.0057565705,0.00029217402],"study_design_scores_gemma":[0.0001561583,0.000016698494,0.31660238,0.000013890704,0.000008182903,3.9438174e-7,0.000071060014,0.009461404,0.00004517656,0.6492623,0.024167053,0.00019525888],"about_ca_topic_score_codex":0.0008863556,"about_ca_topic_score_gemma":0.00071777723,"teacher_disagreement_score":0.106410265,"about_ca_system_score_codex":0.00017452112,"about_ca_system_score_gemma":0.000012113471,"threshold_uncertainty_score":0.99831384},"labels":[],"label_agreement":null},{"id":"W4387816667","doi":"10.36253/bae-13534","title":"Incorporating expert knowledge in the estimate of farmers’ opportunity cost of supplying environmental services in rural Cameroon","year":2023,"lang":"en","type":"article","venue":"Bio-based and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Collège Boréal","funders":"","keywords":"Tobit model; Socioeconomic status; Willingness to pay; Opportunity cost; Disconnection; Environmental economics; Educational attainment; Business; Public economics; Economics; Economic growth; Econometrics; Microeconomics; Environmental health; Political science","score_opus":0.07367230056546602,"score_gpt":0.23764889935753,"score_spread":0.163976598792064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387816667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723214,0.00017065753,0.000028803053,0.00010032351,0.00005542418,0.0003314446,0.00018034833,0.000007781068,0.001893051],"genre_scores_gemma":[0.9990998,0.0002519442,0.0001916227,0.00012078745,0.000017108106,0.00007213672,0.00022009859,0.000016286818,0.000010227032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881625,0.00001567426,0.0007166022,0.00024273101,0.000015687641,0.00019307529],"domain_scores_gemma":[0.99928653,0.00008276411,0.00040238773,0.00018282261,0.0000011226582,0.000044346678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075881986,0.00014339312,0.00034847268,0.0002171468,0.000051142255,0.0000182813,0.000166936,0.00008224401,0.000071760034],"category_scores_gemma":[0.000003575208,0.00015465195,0.000047118043,0.0001079862,0.00012460795,0.000113847826,0.0000669643,0.00009069594,0.000051622865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044738248,0.00022292219,0.9578194,0.000113374386,0.000018094142,6.457009e-7,0.0028372302,0.013259199,0.0010415919,0.016930671,0.000020142283,0.007692011],"study_design_scores_gemma":[0.001978858,0.000067976056,0.90245134,0.000041054474,0.0000060265115,0.0000010364497,0.014818245,0.074478164,0.0020289435,0.0032760247,0.0004975942,0.00035476155],"about_ca_topic_score_codex":0.0002856245,"about_ca_topic_score_gemma":0.00017334265,"teacher_disagreement_score":0.061218966,"about_ca_system_score_codex":0.00011677421,"about_ca_system_score_gemma":0.00001655394,"threshold_uncertainty_score":0.6306523},"labels":[],"label_agreement":null},{"id":"W4387972453","doi":"10.1080/02664763.2023.2272223","title":"Improving the Hosmer-Lemeshow goodness-of-fit test in large models with replicated Bernoulli trials","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Goodness of fit; Covariate; Logistic regression; Statistics; Type I and type II errors; Bernoulli trial; Bernoulli's principle; Mathematics; Test (biology); Sample size determination; Computer science; Econometrics; Biology","score_opus":0.1822081850794053,"score_gpt":0.27385853381424047,"score_spread":0.09165034873483516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387972453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79612404,0.00028202438,0.19707942,0.0004187593,0.0002316777,0.0005682041,0.0016615074,0.00001532829,0.003619008],"genre_scores_gemma":[0.99210685,0.0003222577,0.0072421054,0.00006802294,0.000064062755,0.000013730819,0.000027547398,0.000023630204,0.00013180474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99819195,0.000016985334,0.0013559927,0.00016678167,0.000068824935,0.0001994502],"domain_scores_gemma":[0.99741054,0.0005165433,0.0017916224,0.0002115994,0.000023574736,0.00004612791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032613212,0.000113910886,0.00056879356,0.0001799789,0.000056879326,0.00003100832,0.00019871356,0.000060231,0.000090945454],"category_scores_gemma":[0.00022755595,0.000089900845,0.00005882582,0.00022869972,0.000051749954,0.00011594975,0.000043495744,0.00019643312,0.00005339211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041671278,0.0006091524,0.16303523,0.00015994819,0.00035066143,0.000028734588,0.0031727029,0.09276188,0.0010826093,0.7207752,0.005979276,0.0116279],"study_design_scores_gemma":[0.008581895,0.0007842275,0.3180537,0.00008957295,0.00015931082,0.000022872935,0.0033638848,0.29589435,0.0011192404,0.3683899,0.0028030644,0.0007379689],"about_ca_topic_score_codex":0.000036352892,"about_ca_topic_score_gemma":0.00002244375,"teacher_disagreement_score":0.35238528,"about_ca_system_score_codex":0.000107397034,"about_ca_system_score_gemma":0.00003580225,"threshold_uncertainty_score":0.36660498},"labels":[],"label_agreement":null},{"id":"W4388014260","doi":"10.1002/ecy.4199","title":"Quantifying interspecific and intraspecific diversity effects on ecosystem functioning","year":2023,"lang":"en","type":"article","venue":"Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Intraspecific competition; Interspecific competition; Biodiversity; Ecosystem; Ecology; Biology; Storage effect","score_opus":0.12616642355505808,"score_gpt":0.21906663980651472,"score_spread":0.09290021625145664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388014260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271506,0.000078925004,0.00016144464,0.00042465687,0.0014014429,0.00013210153,0.000012839283,0.00006434502,0.0050091674],"genre_scores_gemma":[0.9990137,0.0001552683,0.0000389352,0.00014416658,0.00010996473,0.000014118426,0.000016902455,0.0000113325605,0.0004956116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992399,0.000021058077,0.00021503888,0.0003244284,0.000013480774,0.00018605916],"domain_scores_gemma":[0.9995602,0.00015631078,0.00011362487,0.0001255573,0.0000025487911,0.000041769883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004051154,0.00008603422,0.00020198233,0.00019599253,0.00025885567,0.000025169913,0.000073949275,0.00007876426,0.00040677472],"category_scores_gemma":[0.000038457107,0.00010805426,0.000038362046,0.0000902014,0.00002650353,0.00010208313,0.00016464184,0.000093187875,0.0064468184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001048312,0.00001736158,0.9524153,0.000023593295,0.00003355395,0.000006193713,0.0005822149,0.00022693028,0.000022224685,0.043072928,0.0023586997,0.0012305528],"study_design_scores_gemma":[0.00038884836,0.00012683589,0.9910719,0.0000075563435,0.0000032720402,0.0000027580477,0.00032985242,0.001746472,0.000046205867,0.003134199,0.003024953,0.000117171774],"about_ca_topic_score_codex":0.000016206403,"about_ca_topic_score_gemma":0.00007698883,"teacher_disagreement_score":0.039938726,"about_ca_system_score_codex":0.00018625108,"about_ca_system_score_gemma":0.0000019947383,"threshold_uncertainty_score":0.9943268},"labels":[],"label_agreement":null},{"id":"W4388439522","doi":"10.7202/1106241ar","title":"L’impact de la sinistralité passée sur la sinistralité future : approche empirique en assurance automobile","year":2023,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.060637583494649094,"score_gpt":0.2955721046036511,"score_spread":0.23493452110900198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388439522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94255877,0.007889251,0.0012194809,0.018883895,0.0011688982,0.000427895,0.0012846744,0.0003263245,0.02624083],"genre_scores_gemma":[0.9502276,0.03154253,0.00216836,0.00020789116,0.00058913813,0.0001590505,0.0003010493,0.0000931822,0.0147111965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962655,0.00095450535,0.001009643,0.0008511184,0.00012277656,0.0007965091],"domain_scores_gemma":[0.9968562,0.0018318632,0.00058242254,0.0004746628,0.000042269705,0.0002125965],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0041494495,0.000519583,0.000735725,0.00023435356,0.00026307447,0.000459997,0.0003878657,0.0008915456,0.0007461839],"category_scores_gemma":[0.0005347439,0.0006330849,0.00042211782,0.0005124416,0.00065570645,0.0013330553,0.000080078506,0.0007157174,0.0010733057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008552877,0.0005670582,0.765165,0.0005782933,0.00044261236,0.000065657194,0.005312217,0.094987854,0.00014529051,0.01920345,0.05791604,0.055531055],"study_design_scores_gemma":[0.0006079826,0.00017903942,0.78829086,0.00020669053,0.000037973943,0.00006533451,0.0004452274,0.015017706,0.00014335665,0.010528843,0.1838945,0.00058246584],"about_ca_topic_score_codex":0.0010919659,"about_ca_topic_score_gemma":0.0002614351,"teacher_disagreement_score":0.12597845,"about_ca_system_score_codex":0.00081628753,"about_ca_system_score_gemma":0.00015935145,"threshold_uncertainty_score":0.9997045},"labels":[],"label_agreement":null},{"id":"W4388688336","doi":"10.1139/cjce-2023-0303","title":"How experiencing extreme climate change events can impact people's willingness to pay during a power outage: a case study from the Ottawa, ON 2022 derecho","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Willingness to pay; Resilience (materials science); Polling; Extreme weather; Psychological resilience; Climate change; Investment (military); Power (physics); Business; Economics; Actuarial science; Environmental resource management; Psychology; Political science; Computer science; Social psychology","score_opus":0.06388659562491734,"score_gpt":0.21307122178670385,"score_spread":0.14918462616178652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388688336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975831,0.000326108,0.00018359114,0.0006258722,0.00079216954,0.0002608587,0.00017176553,0.000012653306,0.000043886685],"genre_scores_gemma":[0.9995472,0.000032262484,0.0000140745715,0.000078103694,0.00020142633,0.0000345073,0.000004310104,0.00004429514,0.000043842592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884945,0.000017492579,0.00042065742,0.00021886203,0.000056394943,0.00043714885],"domain_scores_gemma":[0.9991307,0.000058296948,0.00021948961,0.00023045273,0.000012945262,0.00034806778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060322916,0.00018016827,0.00030672146,0.00034637464,0.00019605836,0.00012417149,0.00021591625,0.000047983118,0.0002524342],"category_scores_gemma":[0.00012086358,0.00015777418,0.000121479665,0.00028289892,0.0000071349027,0.00027495724,0.000030033558,0.00023645393,0.00003920859],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004520279,0.000016052336,0.9376262,0.000007677101,0.00008453894,0.00068971125,0.031016609,0.030094769,0.000036999358,0.000028101593,0.00008893274,0.00030593004],"study_design_scores_gemma":[0.0005015524,0.00011928665,0.9851733,0.00006309991,0.0000111704885,0.00015440705,0.010602637,0.0026863723,0.000011414901,0.000034736007,0.0003992354,0.00024277334],"about_ca_topic_score_codex":0.014981355,"about_ca_topic_score_gemma":0.19651887,"teacher_disagreement_score":0.18153751,"about_ca_system_score_codex":0.00074283005,"about_ca_system_score_gemma":0.000041907144,"threshold_uncertainty_score":0.991578},"labels":[],"label_agreement":null},{"id":"W4388755068","doi":"10.21203/rs.3.rs-3615606/v1","title":"An analysis and visualization of global wetlands based on scientmetric from 2002 to 2022","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wetland; China; Tourism; Globe; Scopus; Geography; Environmental resource management; Environmental planning; Environmental science; Political science; Ecology; Psychology","score_opus":0.17594356859969632,"score_gpt":0.372411724731548,"score_spread":0.19646815613185167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388755068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97775936,0.00026949125,0.016009184,0.00022908108,0.00016973069,0.00050047366,0.0032971748,0.000026948132,0.0017385487],"genre_scores_gemma":[0.99785495,0.00023808017,0.00038012353,0.000038504837,0.00007047884,0.000072507646,0.00095304236,0.000022226015,0.00037010468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798024,0.00011857286,0.00051154435,0.0008801138,0.00022003184,0.00028951044],"domain_scores_gemma":[0.99872667,0.00015199232,0.00021568699,0.00066324364,0.000052747975,0.00018967692],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002298081,0.0001521971,0.0004619178,0.0018512917,0.0001160737,0.00013436752,0.00031887417,0.00019623073,0.0012551841],"category_scores_gemma":[0.00029474316,0.00018518885,0.00013229906,0.0023868314,0.00007503721,0.00008670018,0.00033404684,0.00020798211,0.00047429753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002494083,0.0001255291,0.9469156,0.00005148858,0.00009318631,8.629248e-7,0.000076589575,0.04910969,0.000005846509,0.0026273725,0.00031705506,0.0006518027],"study_design_scores_gemma":[0.000209678,0.00018898144,0.7947555,0.000029981973,0.000018596123,1.6666966e-8,0.00008106105,0.20114249,0.000025804595,0.003236394,0.00017495103,0.00013654496],"about_ca_topic_score_codex":0.0046761637,"about_ca_topic_score_gemma":0.0005855466,"teacher_disagreement_score":0.15216012,"about_ca_system_score_codex":0.0006556127,"about_ca_system_score_gemma":0.000044133383,"threshold_uncertainty_score":0.9996578},"labels":[],"label_agreement":null},{"id":"W4388792852","doi":"10.1186/s12885-023-11598-4","title":"Differences between physician and patient preferences for cancer treatments: a systematic review","year":2023,"lang":"en","type":"review","venue":"BMC Cancer","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Impact","funders":"National Natural Science Foundation of China","keywords":"CINAHL; PsycINFO; Medicine; Preference; Scopus; MEDLINE; Adverse effect; Family medicine; Cancer; Nursing; Psychological intervention; Internal medicine","score_opus":0.3669726141759593,"score_gpt":0.3338309539639532,"score_spread":0.0331416602120061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388792852","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021836748,0.9919912,0.00003350499,0.00002667579,0.00028776942,0.0039490494,0.0032951275,0.000029010194,0.00016928406],"genre_scores_gemma":[0.00007757347,0.98568743,0.000053486485,0.00012176462,0.00015495703,0.012655864,0.00015999844,0.000059683374,0.0010292212],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9977724,0.00004667058,0.0012462544,0.00063333753,0.00004295527,0.00025838736],"domain_scores_gemma":[0.9980103,0.00022211947,0.0013963451,0.0002905572,0.000009358586,0.00007132182],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022799897,0.0003855735,0.003042221,0.00011114571,0.00009248908,0.000053804957,0.00019584256,0.000142236,0.00012724251],"category_scores_gemma":[0.00004246203,0.00031974833,0.00038468145,0.00013083356,0.00004516039,0.00011536734,0.00006542685,0.00008824054,0.0002341703],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.402857e-7,0.000023467637,0.0032179323,0.8766733,0.0007836034,9.9906764e-8,0.00008086717,0.0000010427285,2.330866e-9,0.0003988805,0.00043569994,0.1183843],"study_design_scores_gemma":[0.00041759305,0.00016551194,0.0028820832,0.7891091,0.005284387,6.7797544e-7,0.000067555,0.0000475154,1.8004287e-7,0.0024547859,0.19842392,0.0011466738],"about_ca_topic_score_codex":0.0003924875,"about_ca_topic_score_gemma":0.00016200158,"teacher_disagreement_score":0.19798823,"about_ca_system_score_codex":0.00046923122,"about_ca_system_score_gemma":0.000063952924,"threshold_uncertainty_score":0.99992543},"labels":[],"label_agreement":null},{"id":"W4388866315","doi":"10.3368/er.41.4.199","title":"Visitor Use and Activities Detected Using Trail Cameras at Forest Restoration Sites","year":2023,"lang":"en","type":"article","venue":"Ecological Restoration","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Geological Survey; Canada Excellence Research Chairs, Government of Canada; Kennesaw State University","keywords":"Visitor pattern; Evening; Daylight; Geography; Ecosystem services; Forestry; Sampling (signal processing); Environmental science; Ecosystem; Ecology; Computer science; Biology","score_opus":0.19225888076056868,"score_gpt":0.25363310325821176,"score_spread":0.06137422249764307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388866315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99832946,0.00008463046,0.0006082875,0.00017410239,0.00021226637,0.00022476389,0.000034767436,0.00008844114,0.00024326285],"genre_scores_gemma":[0.9982929,0.000121019126,0.00049835315,0.00007856854,0.00011706219,0.000033023665,0.00015537329,0.000015130062,0.00068852113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990382,0.000040332645,0.00035513937,0.00033265466,0.00003873739,0.0001949072],"domain_scores_gemma":[0.99940455,0.00016231254,0.00022719956,0.00013295143,0.000009358077,0.00006365555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003498438,0.00012197245,0.0001951499,0.00014966028,0.00028082854,0.00012195098,0.000052495,0.00015407313,0.00020492024],"category_scores_gemma":[0.00030922657,0.00013545463,0.00004168375,0.00015108334,0.00007583424,0.00082676375,0.00006296155,0.000082998864,0.00041927284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034534405,0.000039559523,0.98268664,0.0000093266535,0.000015065912,0.0000031486554,0.00027933903,0.0047115725,0.0063678212,0.004785535,0.00079781417,0.0002696472],"study_design_scores_gemma":[0.00026296912,0.00011936697,0.9494355,0.0000031550162,0.0000052479777,0.0000020401576,0.00007296213,0.04589551,0.0002115143,0.002570603,0.0012624131,0.0001587239],"about_ca_topic_score_codex":0.000084277475,"about_ca_topic_score_gemma":0.00061657064,"teacher_disagreement_score":0.041183937,"about_ca_system_score_codex":0.00046391325,"about_ca_system_score_gemma":0.00000901115,"threshold_uncertainty_score":0.5523679},"labels":[],"label_agreement":null},{"id":"W4389284528","doi":"10.1016/j.jocm.2023.100454","title":"Ordinal-ResLogit: Interpretable deep residual neural networks for ordered choices","year":2023,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ordinal regression; Ordinal data; Computer science; Residual; Logit; Consistency (knowledge bases); Artificial intelligence; Artificial neural network; Ordered logit; Statistics; Econometrics; Machine learning; Mathematics; Algorithm","score_opus":0.14154998753375997,"score_gpt":0.25705404484906147,"score_spread":0.1155040573153015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389284528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4667483,0.0015302625,0.52975327,0.0003957493,0.00070347515,0.00012525984,0.000013019914,0.000018065211,0.0007125962],"genre_scores_gemma":[0.9952916,0.0005302975,0.0025041879,0.00017574523,0.00075438095,0.0000107300275,0.0000146914435,0.00003292419,0.0006854755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984916,0.00001486116,0.00092047494,0.0002166964,0.000047245838,0.00030910803],"domain_scores_gemma":[0.99869144,0.00023920783,0.00080310064,0.00014739216,0.000034960543,0.00008387288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010516539,0.00013711883,0.00041217156,0.00024553994,0.00012719404,0.00009475598,0.00025174528,0.000100175406,0.00010725903],"category_scores_gemma":[0.0000964375,0.00014764452,0.00019380516,0.00015508891,0.000029035948,0.00057740905,0.000045532666,0.00020926869,0.00005916355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039878192,0.000021962987,0.0198628,0.000015539861,0.00005940528,0.0000013851744,0.00013439813,0.97755146,0.000008398451,0.00078836374,0.0006486116,0.0008678041],"study_design_scores_gemma":[0.000726111,0.00012114817,0.0039290944,0.000021124595,0.000019692729,0.0000060794387,0.00007837533,0.9811949,0.000015425516,0.008378748,0.0053530512,0.00015621072],"about_ca_topic_score_codex":0.000047790112,"about_ca_topic_score_gemma":0.0000145095755,"teacher_disagreement_score":0.5285433,"about_ca_system_score_codex":0.00011773401,"about_ca_system_score_gemma":0.000010072582,"threshold_uncertainty_score":0.6020769},"labels":[],"label_agreement":null},{"id":"W4389623701","doi":"10.1287/deca.2023.intro.v20.n4","title":"Decision Analysis to Advance Environmental Sustainability","year":2023,"lang":"en","type":"article","venue":"Decision Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sustainability; Decision analysis; Sustainability science; Scope (computer science); Sustainability organizations; Status quo; Decision support system; Environmental resource management; Risk analysis (engineering); Management science; Business; Computer science; Environmental planning; Environmental economics; Economics; Ecology; Environmental science","score_opus":0.03707153982529466,"score_gpt":0.25812025071307226,"score_spread":0.2210487108877776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389623701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79426515,0.00015954037,0.20408899,0.00028160537,0.00011829578,0.00018306987,0.00018663066,0.000055173958,0.00066157884],"genre_scores_gemma":[0.99381673,0.00021992016,0.0036056156,0.00023623016,0.000031656517,0.000045118333,0.0002689529,0.000021581134,0.0017541647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99737173,0.000028207081,0.0010280468,0.0010176458,0.00015348021,0.00040087636],"domain_scores_gemma":[0.9981708,0.00028828246,0.0002734103,0.0010092241,0.0000148313175,0.00024345602],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001462475,0.00022304984,0.00078036526,0.0026279606,0.0002030969,0.00008811376,0.0003794227,0.00011338806,0.0053407564],"category_scores_gemma":[0.0003743784,0.0002549865,0.00086341985,0.005487784,0.000050999162,0.00028477793,0.0002604342,0.00010269262,0.01050256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033966473,0.00008700638,0.78783584,0.0000016061718,0.0012566061,0.0000060833468,0.00018672957,0.18728203,0.000014358138,0.0014147083,0.0008431203,0.021037964],"study_design_scores_gemma":[0.0002676848,0.00003167883,0.9052906,0.0000013205615,0.0005180489,2.905974e-7,0.00030266316,0.06206754,0.000020091551,0.021029765,0.010186716,0.00028360734],"about_ca_topic_score_codex":0.00012309647,"about_ca_topic_score_gemma":0.00015589841,"teacher_disagreement_score":0.20048337,"about_ca_system_score_codex":0.00072681095,"about_ca_system_score_gemma":0.000007917447,"threshold_uncertainty_score":0.9999902},"labels":[],"label_agreement":null},{"id":"W4389629297","doi":"10.2305/eknn8645","title":"The value of natural capital in Canada’s national parks and national marine conservation areas","year":2023,"lang":"en","type":"article","venue":"PARKS","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Parks Canada","funders":"University of Ottawa","keywords":"Natural capital; Visitor pattern; Natural resource; Natural resource economics; Value (mathematics); Capital (architecture); Business; Total economic value; National accounts; Economic impact analysis; Ecosystem services; Geography; Environmental resource management; Environmental protection; Economics; Ecosystem; Ecology","score_opus":0.03714474595351969,"score_gpt":0.20051209609726203,"score_spread":0.16336735014374235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389629297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98976505,0.0002341888,0.000007970763,0.0016225339,0.00020195947,0.00008842703,0.00007278762,0.0000042617007,0.008002833],"genre_scores_gemma":[0.9990159,0.00017435245,0.000036116056,0.00020696262,0.000028550223,0.000018012626,0.00013011579,0.000005447595,0.00038453058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993516,0.000011055245,0.00032442447,0.00013943818,0.00006281738,0.00011063646],"domain_scores_gemma":[0.99960804,0.00016092078,0.00014225148,0.000051647356,0.000016514176,0.000020649233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055826677,0.000057643556,0.00010457796,0.00006795803,0.00006388724,0.000014061534,0.00006527302,0.000027289256,0.00008249224],"category_scores_gemma":[0.00013848623,0.000058881815,0.0000184805,0.000086937,0.00004221735,0.000097787335,0.000046402856,0.0000697696,0.000035289497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000642453,0.0000067789592,0.88611716,0.0000047688263,0.000014446833,3.2294236e-7,0.00007990669,0.0012125372,0.000006125154,0.109797515,0.0023661896,0.00038784044],"study_design_scores_gemma":[0.00024419246,0.000004678119,0.9138179,0.0000025374823,7.3824816e-7,0.0000010919007,0.00011291586,0.052408077,0.000012571784,0.031650554,0.0016834387,0.000061338724],"about_ca_topic_score_codex":0.20546998,"about_ca_topic_score_gemma":0.3498564,"teacher_disagreement_score":0.14438641,"about_ca_system_score_codex":0.00040286058,"about_ca_system_score_gemma":0.00014508524,"threshold_uncertainty_score":0.79982084},"labels":[],"label_agreement":null},{"id":"W4389762210","doi":"10.1016/j.ehb.2023.101340","title":"Cigarette packaging, warnings, prices, and contraband: A discrete choice experiment among smokers in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Economics & Human Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; McMaster University; Impact","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Purchasing; Packaging and labeling; Incentive; Advertising; Tobacco control; Environmental health; Preference; Discrete choice; Business; Medicine; Marketing; Public health; Economics","score_opus":0.049875806179851025,"score_gpt":0.21785510386611448,"score_spread":0.16797929768626346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389762210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937587,0.00036834666,0.0000120446075,0.00039689348,0.0003768964,0.00024764857,0.000065288725,0.000028084072,0.0047461432],"genre_scores_gemma":[0.997735,0.00016830559,0.000018290426,0.0003626884,0.00006009671,0.00007478597,0.00026033563,0.000027809292,0.0012926823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822044,0.000018141187,0.00067924755,0.0006260087,0.000011323893,0.00044482102],"domain_scores_gemma":[0.9992187,0.00006443335,0.00035834603,0.0002467128,0.000003078318,0.0001087017],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044702966,0.00021322627,0.00046262244,0.00019339667,0.000141752,0.000045753397,0.00018095602,0.00013320112,0.00071119406],"category_scores_gemma":[0.000018392646,0.00027242966,0.000052361902,0.00005179854,0.00014546291,0.00018703479,0.0001242136,0.00022375838,0.000052609976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004105023,0.000010565576,0.9865177,0.0000039623737,0.00005097924,0.0000019562133,0.0010014515,0.00014472078,0.000016077589,0.011493655,0.0006616213,0.000093203875],"study_design_scores_gemma":[0.00085914327,0.000051526004,0.96824825,0.0000070117317,0.000004455199,0.0000011985006,0.0001744019,0.0008295331,0.0000479286,0.0050205025,0.024435917,0.0003201259],"about_ca_topic_score_codex":0.8811211,"about_ca_topic_score_gemma":0.9687794,"teacher_disagreement_score":0.08765828,"about_ca_system_score_codex":0.0011975738,"about_ca_system_score_gemma":0.00006661144,"threshold_uncertainty_score":0.99997276},"labels":[],"label_agreement":null},{"id":"W4389943309","doi":"10.21203/rs.3.rs-3756198/v1","title":"Willingness to pay for haemodialysis among patients with chronic kidney disease in Abuja, Nigeria","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Willingness to pay; Medicine; Contingent valuation; Kidney disease; Hemodialysis; Renal function; Bivariate analysis; Cross-sectional study; Descriptive statistics; End stage renal disease; Internal medicine; Economics","score_opus":0.12020032526841969,"score_gpt":0.30871738969332063,"score_spread":0.18851706442490096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389943309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895454,0.00015361806,0.0022049437,0.001034202,0.00040744725,0.0031231826,0.0032464368,0.000040242805,0.00024452628],"genre_scores_gemma":[0.9923102,0.00018638832,0.00030128163,0.000051988005,0.00023912113,0.002505964,0.0023365577,0.00010487934,0.0019635714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99723035,0.00007943443,0.0006751794,0.0011400029,0.00016475828,0.0007102998],"domain_scores_gemma":[0.99827266,0.00015939397,0.00022502674,0.0007830781,0.00006674122,0.0004931078],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019576796,0.00026750544,0.0005748749,0.0007148947,0.00018781539,0.00017384918,0.00046898198,0.00021353262,0.00030938594],"category_scores_gemma":[0.00060737383,0.0002668028,0.00017759428,0.00029387584,0.000092855174,0.00018020818,0.0005691371,0.00060374336,0.00092965714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010444061,0.00014490704,0.9764544,0.00049713504,0.00005752003,0.0000025366737,0.00031685262,0.019681584,3.215511e-7,0.00059238373,0.001679262,0.00046867106],"study_design_scores_gemma":[0.0010029403,0.00015687823,0.97804815,0.00037243505,0.0000070652623,9.974126e-9,0.000036061083,0.006824023,0.0000035615826,0.009557909,0.0036174338,0.0003735545],"about_ca_topic_score_codex":0.0015029014,"about_ca_topic_score_gemma":0.00085696275,"teacher_disagreement_score":0.012857562,"about_ca_system_score_codex":0.0017732203,"about_ca_system_score_gemma":0.00020236756,"threshold_uncertainty_score":0.9999784},"labels":[],"label_agreement":null},{"id":"W4390061969","doi":"10.1086/727693","title":"Environmental and Natural Resource Economics and Systemic Racism","year":2023,"lang":"en","type":"article","venue":"Review of Environmental Economics and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Natural resource; Environmental justice; Racism; Commons; Sociology; Economics; Resource (disambiguation); Environmental studies; Work (physics); Natural resource management; Public economics; Environmental economics; Environmental resource management; Political science; Computer science; Law","score_opus":0.025922472466387708,"score_gpt":0.21249750771155407,"score_spread":0.18657503524516636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390061969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89438987,0.102381006,0.0000017471511,0.00089058396,0.000080772086,0.00037919654,0.00061460637,0.000013762164,0.0012484699],"genre_scores_gemma":[0.5360432,0.46286914,0.00004505571,0.00056485814,0.000059708193,0.000016596336,0.00007676526,0.000025147108,0.00029949282],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981361,0.000026793621,0.0009157988,0.0005882033,0.000022916396,0.00031017256],"domain_scores_gemma":[0.9989293,0.0000667129,0.00052051194,0.00031388598,6.099451e-7,0.00016892872],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006269259,0.00028548302,0.0007061981,0.00020805374,0.00012696658,0.000037048016,0.000134539,0.000118141266,0.00013841172],"category_scores_gemma":[0.000015643729,0.0003424941,0.0001107048,0.000042748125,0.0003222639,0.00028949633,0.00031096296,0.00013227551,0.00031051665],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009224908,0.00036308906,0.32571173,0.0069081783,0.0008425895,0.000009433389,0.0022934095,0.00046530564,0.001373758,0.2886324,0.0015094621,0.3717984],"study_design_scores_gemma":[0.0019109986,0.0001991791,0.7788757,0.0005882181,0.0000788617,0.0002515639,0.00057692605,0.004860774,0.000101461446,0.0076062605,0.20381314,0.0011369253],"about_ca_topic_score_codex":0.00004648225,"about_ca_topic_score_gemma":0.00000234244,"teacher_disagreement_score":0.45316395,"about_ca_system_score_codex":0.00022913972,"about_ca_system_score_gemma":0.00001040499,"threshold_uncertainty_score":0.9999027},"labels":[],"label_agreement":null},{"id":"W4390126269","doi":"10.1016/j.jval.2023.09.502","title":"EE234 Economic Analysis of the Pronto Study","year":2023,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TD Bank Group; Sunnybrook Hospital; Health Sciences Centre; Queen's University; Ontario Institute for Cancer Research; Sunnybrook Health Science Centre","funders":"","keywords":"Computer science","score_opus":0.19176115659049378,"score_gpt":0.2778787533060494,"score_spread":0.0861175967155556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390126269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968514,0.00020851295,0.000018544666,0.00074120006,0.0002578179,0.00044096864,0.00006665305,0.000013326469,0.0014015911],"genre_scores_gemma":[0.9992449,0.00015026818,0.00002920301,0.00008790785,0.000019486031,0.000033064924,0.0000105900235,0.0000095753885,0.00041496428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987252,0.000056644672,0.0007495317,0.00026126628,0.000022813207,0.00018457735],"domain_scores_gemma":[0.99920684,0.00004976617,0.00036616996,0.00034243186,0.0000015304607,0.00003325083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016526363,0.00007108969,0.00036047612,0.0003555551,0.00005554058,0.000008992642,0.0001790281,0.000030221187,0.0002128913],"category_scores_gemma":[0.000023209408,0.0000704597,0.00010876086,0.00051198754,0.000025790483,0.000074504635,0.00006496526,0.00006528701,0.00040887765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017613409,0.00005611198,0.8157612,0.000009563776,0.000072552364,9.270772e-8,0.0011122911,0.17489061,3.5531895e-7,0.007830151,0.000100634265,0.00016467342],"study_design_scores_gemma":[0.00023578371,0.000048244576,0.89472073,0.000004250662,0.000010449365,5.866441e-8,0.00045171301,0.10178865,0.0000018962742,0.002267557,0.00041290608,0.000057740806],"about_ca_topic_score_codex":0.016128434,"about_ca_topic_score_gemma":0.0012615335,"teacher_disagreement_score":0.078959554,"about_ca_system_score_codex":0.0004730602,"about_ca_system_score_gemma":0.00003174274,"threshold_uncertainty_score":0.99042326},"labels":[],"label_agreement":null},{"id":"W4390277655","doi":"10.1016/j.oneear.2023.12.001","title":"Hundreds of millions of people in the tropics need both wild harvests and other forms of economic development for their well-being","year":2023,"lang":"en","type":"article","venue":"One Earth","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Medical Research Council; European Research Council; Vetenskapsrådet; Svenska Forskningsrådet Formas; Natural Environment Research Council; Department of Biotechnology, Ministry of Science and Technology, India; European Commission; Sight Research UK","keywords":"Livelihood; Context (archaeology); Food security; Asset (computer security); Resource (disambiguation); Natural resource economics; Scale (ratio); Tropics; Business; Psychological intervention; Environmental resource management; Geography; Economic growth; Development economics; Agriculture; Economics; Ecology; Biology","score_opus":0.05938846457775808,"score_gpt":0.21441278259696023,"score_spread":0.15502431801920213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390277655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966475,0.000115195944,0.00040895818,0.00012243487,0.000039029062,0.00023071737,0.00006237664,0.0000032263672,0.002370597],"genre_scores_gemma":[0.9989064,0.00015249822,0.00060365966,0.000039885817,0.000011613126,0.0000223887,0.000019668612,0.000009267858,0.00023465662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930394,0.000006759617,0.0004404352,0.0001260941,0.00001370554,0.00010909223],"domain_scores_gemma":[0.99955356,0.000064674336,0.000232862,0.0001322538,0.0000023147306,0.0000143151665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043664942,0.00006316556,0.00024012648,0.00012426272,0.000028830475,0.0000064391616,0.00008713689,0.000037712216,0.000058284488],"category_scores_gemma":[0.000009160679,0.000059808288,0.000045891535,0.000072143,0.000038469014,0.00008354806,0.00002647405,0.000030602125,0.000020854188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016402635,0.00007559815,0.91321796,0.00007479405,0.000050912888,3.4881467e-8,0.006258367,0.0012090816,0.00014770939,0.077086,0.000060047645,0.0018030562],"study_design_scores_gemma":[0.0006451418,0.00007637286,0.97938013,0.000019926258,0.00000386046,2.7857226e-7,0.0008990101,0.002975698,0.0016551563,0.010993112,0.0032649639,0.00008634259],"about_ca_topic_score_codex":0.00013521317,"about_ca_topic_score_gemma":0.00049904763,"teacher_disagreement_score":0.06616215,"about_ca_system_score_codex":0.000023516728,"about_ca_system_score_gemma":0.000012985351,"threshold_uncertainty_score":0.24389112},"labels":[],"label_agreement":null},{"id":"W4390327173","doi":"10.5198/jtlu.2023.2297","title":"Access-based land value appreciation for assessing project benefits","year":2023,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Real estate; Computer science; Environmental economics; Real estate development; Land use; Capitalization; Business; Operations research; Transport engineering; Economics; Finance; Mathematics; Civil engineering; Engineering","score_opus":0.2031386062370975,"score_gpt":0.2890615625228036,"score_spread":0.08592295628570606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390327173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99563706,0.00020069545,0.0034230235,0.00018899057,0.00016928215,0.00012908962,0.00008658568,0.000007696771,0.00015757157],"genre_scores_gemma":[0.99849355,0.00041786695,0.00069123466,0.00007872444,0.000113941365,0.000005841853,0.000064762404,0.000011187066,0.0001229077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993698,0.0000047254803,0.00038770842,0.00010880838,0.000026248303,0.000102682],"domain_scores_gemma":[0.99953264,0.000056425954,0.00031212822,0.000052703963,0.000011820825,0.000034292258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000569989,0.00006614835,0.00019975944,0.00017181326,0.00006391709,0.00007796575,0.00006146431,0.0000528521,0.000028888102],"category_scores_gemma":[0.000018092738,0.00006245411,0.00008185214,0.00007512613,0.000010790453,0.0006293099,0.0000037635311,0.000055726578,0.0000068690415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026647387,0.000022516044,0.9927347,0.000025458625,0.00002641294,8.706703e-7,0.00007129408,0.005720219,0.0000038250687,0.0004216016,0.00014400858,0.0008024806],"study_design_scores_gemma":[0.001058558,0.000043087373,0.9848144,0.000023423103,0.000022418959,0.0000025590666,0.000013542002,0.007063041,0.000023164248,0.0010163453,0.005835245,0.00008418846],"about_ca_topic_score_codex":0.000058494443,"about_ca_topic_score_gemma":0.000018092836,"teacher_disagreement_score":0.007920237,"about_ca_system_score_codex":0.000028409228,"about_ca_system_score_gemma":0.00001752526,"threshold_uncertainty_score":0.25468048},"labels":[],"label_agreement":null},{"id":"W4390372359","doi":"10.3917/reco.pr2.i","title":"10.3917/reco.pr2.i","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.04017974676734768,"score_gpt":0.15535417700686338,"score_spread":0.11517443023951571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390372359","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057305314,0.0001341906,0.0000057000752,0.00027580681,0.000007470254,0.0001259632,0.000048463437,0.000038838538,0.94205827],"genre_scores_gemma":[0.015783044,0.000004394519,0.00017899669,0.00016686665,0.00008361176,0.000020933803,0.000029480409,0.000021126341,0.98371154],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992143,0.0000060824423,0.00030064158,0.0002697509,0.000016412136,0.00019281675],"domain_scores_gemma":[0.9996077,0.000014037959,0.000059680224,0.00022709387,0.0000024370572,0.00008908508],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021271185,0.000099227495,0.00018376336,0.00007053566,0.000057853904,0.00003193168,0.00013679611,0.0000543042,0.995897],"category_scores_gemma":[0.00001122501,0.00012885485,0.000060473023,0.00007109316,0.00001959171,0.00015220445,0.000024186187,0.000050036448,0.99654883],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005539195,0.00018193093,0.00081362395,0.000009120832,0.00006328496,0.0000021641945,0.00009906793,0.0023094583,0.000013500324,0.00059423887,0.19592081,0.7999374],"study_design_scores_gemma":[0.000207735,0.00006442664,0.008003744,0.000002549967,0.0000024941316,0.000001584593,9.654966e-7,0.00087762706,0.000011383763,0.0003434275,0.99031484,0.00016924099],"about_ca_topic_score_codex":0.00004087758,"about_ca_topic_score_gemma":2.0108662e-7,"teacher_disagreement_score":0.79976815,"about_ca_system_score_codex":0.00010234239,"about_ca_system_score_gemma":0.000003439431,"threshold_uncertainty_score":0.5254548},"labels":[],"label_agreement":null},{"id":"W4390495535","doi":"10.18235/0005369","title":"Seemingly irrelevant factors and willingness to block polluting investments","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"RTI International; Inter-American Development Bank","keywords":"Vignette; Nationality; Business; Willingness to pay; Secondary sector of the economy; Foreign direct investment; Investment (military); Economics; Microeconomics; Economy; Geography; Politics; Psychology","score_opus":0.20438419157085405,"score_gpt":0.2444543587845113,"score_spread":0.04007016721365725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390495535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99195325,0.0003253013,0.0007373855,0.00047719336,0.0012347323,0.00041041427,0.00023710757,0.00009945792,0.0045251613],"genre_scores_gemma":[0.9931659,0.0002594748,0.0014066404,0.00040747566,0.00009159809,0.000042123596,0.00008626769,0.00006252768,0.004477997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981355,0.000009671482,0.000693768,0.0008147581,0.000035536836,0.0003107853],"domain_scores_gemma":[0.9990659,0.000066311906,0.00033541425,0.00035792528,0.0000053774033,0.00016912264],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004581056,0.00029449098,0.0005090122,0.00020166833,0.00010775143,0.00011632023,0.0002083006,0.00023513657,0.00015392972],"category_scores_gemma":[0.00011599915,0.0003329721,0.00009786081,0.00007552943,0.000038161103,0.00009144548,0.0008150268,0.00023657996,0.0013393646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019647305,0.000025391528,0.98868144,0.00006085997,0.00008360509,0.000001197971,0.0010274312,0.0028307987,0.0000132107625,0.0065283673,0.00051304436,0.00023268149],"study_design_scores_gemma":[0.00024614844,0.00003132435,0.96588933,0.000065310756,0.000014293607,8.3000685e-7,0.00033388962,0.0044818874,0.00012300578,0.025786687,0.0024559854,0.0005713068],"about_ca_topic_score_codex":0.0009807284,"about_ca_topic_score_gemma":0.00004205259,"teacher_disagreement_score":0.022792116,"about_ca_system_score_codex":0.00029475274,"about_ca_system_score_gemma":0.000014085095,"threshold_uncertainty_score":0.9999122},"labels":[],"label_agreement":null},{"id":"W4390556250","doi":"10.1007/978-981-99-4902-1_12","title":"Panel Probit Models Applied to Stated Preference Auctions: A Cost Discovery for Ecosystem Services through Wetland Restoration in the Canadian Prairies","year":2023,"lang":"en","type":"book-chapter","venue":"Contributions to economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Government of Alberta","funders":"","keywords":"Common value auction; Probit model; Willingness to accept; Ecosystem services; Multivariate probit model; Contingent valuation; Externality; Revealed preference; Valuation (finance); Business; Wetland; Payment; Economics; Willingness to pay; Natural resource economics; Environmental resource management; Ecosystem; Ecology; Econometrics; Microeconomics","score_opus":0.1928659050987732,"score_gpt":0.24460399343919714,"score_spread":0.051738088340423954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390556250","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07373085,0.0011309263,0.15630403,0.03866886,0.00472694,0.049597245,0.2894717,0.00043453622,0.38593492],"genre_scores_gemma":[0.9261719,0.0007689887,0.0010295926,0.0020067983,0.0004866335,0.0062046414,0.00978528,0.00019183011,0.05335431],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975481,0.000014675771,0.0011259596,0.00079062383,0.000034517496,0.00048612105],"domain_scores_gemma":[0.9985238,0.00014638586,0.00050945196,0.0006040764,0.00005799472,0.00015829927],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00086926186,0.0003696419,0.0006742732,0.00044693955,0.00047622187,0.00046681002,0.0004533033,0.0003779631,0.000031920532],"category_scores_gemma":[0.000045165016,0.00042145274,0.00013043811,0.000099529025,0.000046879064,0.0006921393,0.000083938605,0.00024417334,0.001377094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003619184,0.000017411652,0.000307998,0.00005175076,0.00007500355,4.5222154e-7,0.0008440599,0.05168397,5.7752834e-7,0.94444525,0.002382528,0.00015479635],"study_design_scores_gemma":[0.0011471965,0.00013610197,0.0031927149,0.00015961875,0.000057848123,0.000004151842,0.00043669855,0.013807445,0.000006884523,0.4533381,0.5267166,0.0009966751],"about_ca_topic_score_codex":0.014680626,"about_ca_topic_score_gemma":0.67057145,"teacher_disagreement_score":0.8524411,"about_ca_system_score_codex":0.0030378518,"about_ca_system_score_gemma":0.00027348884,"threshold_uncertainty_score":0.99982375},"labels":[],"label_agreement":null},{"id":"W4390585083","doi":"10.31219/osf.io/qxcaj","title":"Decision Analysis to Advance Environmental Sustainability","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sustainability; Decision analysis; Scope (computer science); Sustainability science; Status quo; Sustainability organizations; Environmental resource management; Business; Decision support system; Risk analysis (engineering); Environmental planning; Management science; Environmental economics; Computer science; Economics; Ecology; Environmental science","score_opus":0.03518906635832823,"score_gpt":0.2403045179453226,"score_spread":0.20511545158699435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390585083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90044016,0.0022635863,0.08341389,0.0012152155,0.00087097596,0.00066444615,0.0007135823,0.00007366182,0.010344505],"genre_scores_gemma":[0.98030823,0.00024203045,0.005334079,0.00030301543,0.00009051904,0.0001342148,0.00019922492,0.000038398946,0.013350273],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997432,0.000012445033,0.00089540496,0.0013057403,0.00005433461,0.0003000898],"domain_scores_gemma":[0.9986572,0.00004821099,0.00021368884,0.00091485254,0.00000479193,0.00016125453],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006536396,0.00030436963,0.00067030656,0.0006099508,0.000059929123,0.00017767891,0.0003379708,0.00024562713,0.003848657],"category_scores_gemma":[0.00006113027,0.00036298545,0.0005078708,0.00024553685,0.000039947365,0.00013169863,0.0016072775,0.00036783976,0.0061595803],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045252953,0.00033489414,0.6593633,0.00016840537,0.0018940523,0.000010852982,0.0008329674,0.22467873,0.000008776421,0.08906884,0.0033498225,0.02024411],"study_design_scores_gemma":[0.00014759508,0.000042073316,0.38486937,0.000012308228,0.00019909006,5.976014e-7,0.00017731187,0.015154064,0.000028891578,0.5830932,0.015638735,0.0006367379],"about_ca_topic_score_codex":0.00030874694,"about_ca_topic_score_gemma":0.000096132186,"teacher_disagreement_score":0.4940244,"about_ca_system_score_codex":0.0026663444,"about_ca_system_score_gemma":0.00002079203,"threshold_uncertainty_score":0.9998822},"labels":[],"label_agreement":null},{"id":"W4390706821","doi":"10.1007/s11160-023-09831-1","title":"Non-probabilistic surveys and sampling in the human dimensions of fisheries","year":2024,"lang":"en","type":"article","venue":"Reviews in Fish Biology and Fisheries","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Carleton University","funders":"","keywords":"Probabilistic logic; Representativeness heuristic; Fishery; Sampling (signal processing); Population; Environmental resource management; Recreation; Statistical model; Scale (ratio); Data science; Computer science; Ecology; Geography; Statistics; Biology; Mathematics; Machine learning; Artificial intelligence; Cartography; Environmental science","score_opus":0.1680387210509852,"score_gpt":0.288431407421093,"score_spread":0.12039268637010783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390706821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789133,0.018221397,0.00010375436,0.0006850396,0.00011435015,0.00024272241,0.00004456044,0.0000045750594,0.0016702687],"genre_scores_gemma":[0.9744881,0.025059367,0.00012806444,0.00015945928,0.000018837838,0.000048192356,0.000031618998,0.0000056615386,0.00006070654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990354,0.00010419958,0.00050374045,0.0002379203,0.000006787827,0.00011191455],"domain_scores_gemma":[0.9996187,0.00015523676,0.0000849879,0.00012638426,0.0000017967263,0.000012883133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023125699,0.00009280215,0.0003513973,0.00006771815,0.000052620464,0.000026360925,0.000073046634,0.00008334613,0.00009041728],"category_scores_gemma":[0.00009251103,0.00006846304,0.000033677305,0.000093549046,0.00024970877,0.000118830285,0.000046822464,0.00011892724,0.0000072218386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.9462484e-7,0.000015259346,0.97959965,0.0001495535,0.000006334084,5.1224947e-7,0.00081498007,0.0000018727566,0.000016496382,0.014171096,0.0002024808,0.0050209537],"study_design_scores_gemma":[0.00009719784,0.000048716538,0.9238356,0.00008431961,0.000004021678,0.0000028309191,0.00012008943,0.00013501738,0.0000017785973,0.033965107,0.041608185,0.00009716129],"about_ca_topic_score_codex":0.00021106818,"about_ca_topic_score_gemma":0.00070581207,"teacher_disagreement_score":0.05576409,"about_ca_system_score_codex":0.000019997255,"about_ca_system_score_gemma":0.0000033992062,"threshold_uncertainty_score":0.2791842},"labels":[],"label_agreement":null},{"id":"W4390720360","doi":"10.1017/9781009445504.006","title":"You Bet Your (Dog’s) Life","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Contingent valuation; Value of life; Actuarial science; Value (mathematics); Valuation (finance); Public economics; Psychology; Shadow (psychology); Willingness to pay; Animal welfare; Environmental health; Economics; Medicine; Statistics; Microeconomics; Mathematics; Biology","score_opus":0.09541967282702904,"score_gpt":0.19147351282699943,"score_spread":0.09605383999997039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390720360","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015417095,0.0016451495,0.0002322614,0.00006698318,0.0007208049,0.00028774008,0.0016102277,0.00010502603,0.9937901],"genre_scores_gemma":[0.011410749,0.0005570511,0.000056099107,0.00014401005,0.0002586461,0.0000013062453,0.00017138512,0.00008077964,0.98731995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99856484,0.000005228257,0.00039736152,0.0007282837,0.00004744391,0.0002568586],"domain_scores_gemma":[0.9989483,0.00001868925,0.0003337684,0.00049774424,0.000012157992,0.0001893465],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001689922,0.000343623,0.0005222135,0.0002588516,0.00011884088,0.00007149258,0.00036977904,0.00039740631,0.0001643825],"category_scores_gemma":[0.0000068423656,0.00049556,0.00031458103,0.000006674517,0.00014544306,0.00013129374,0.00033396107,0.00040491688,0.0029052647],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009459019,0.000007189984,0.0001663108,0.000060284303,0.00020378683,0.00003748677,0.000046549034,0.000017600301,0.0000012685422,0.9708237,0.02848804,0.00013832802],"study_design_scores_gemma":[0.00037204367,0.000035045163,0.00049881934,0.000054189833,0.0000950944,0.0000043524747,0.00003291962,0.0003147576,0.00001000835,0.00096944714,0.9970844,0.0005289359],"about_ca_topic_score_codex":0.00017597593,"about_ca_topic_score_gemma":0.0000011931266,"teacher_disagreement_score":0.96985424,"about_ca_system_score_codex":0.00047450385,"about_ca_system_score_gemma":0.000030108393,"threshold_uncertainty_score":0.9997496},"labels":[],"label_agreement":null},{"id":"W4390789337","doi":"10.1038/s44221-023-00182-6","title":"Benefits, costs and enabling conditions to achieve ‘water for all’ in rural and remote Australia","year":2024,"lang":"en","type":"article","venue":"Nature Water","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Australian Research Council; Australian National University","keywords":"Willingness to pay; Business; Population; Water infrastructure; Water quality; Water supply; Agricultural economics; Environmental health; Economics; Environmental science; Medicine; Environmental engineering","score_opus":0.05905950841023449,"score_gpt":0.26929258178656473,"score_spread":0.21023307337633024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390789337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947408,0.001292602,0.000095774994,0.00281313,0.00029626864,0.0002614575,0.00016935928,0.000012616068,0.00031803717],"genre_scores_gemma":[0.99725544,0.00013474024,0.0004560818,0.00056356826,0.00007771673,0.000017253113,0.00018356381,0.0000149757625,0.0012966476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993331,0.0000039108527,0.00020174701,0.00024930364,0.000012145404,0.00019981009],"domain_scores_gemma":[0.99984527,0.000016733755,0.000012707467,0.00007329606,0.0000026665598,0.000049347444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002488496,0.00009167788,0.00013507699,0.00014182141,0.000040547762,0.000086681706,0.00003905623,0.00015468265,0.00016481809],"category_scores_gemma":[0.000005728463,0.00007411905,0.000027255119,0.000022532542,0.000018164566,0.0001854606,0.000040117746,0.00015533922,0.00021657534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005151992,0.00027667207,0.2329242,0.0011322648,0.0008623042,0.00004185559,0.025117304,0.0031348027,0.037013337,0.5959487,0.022695327,0.08033806],"study_design_scores_gemma":[0.0031185697,0.00052790745,0.4616753,0.00034449843,0.00006712936,0.00005740902,0.00045987853,0.010293734,0.023454,0.20765541,0.29075825,0.0015879213],"about_ca_topic_score_codex":0.000092999464,"about_ca_topic_score_gemma":0.0000687379,"teacher_disagreement_score":0.38829327,"about_ca_system_score_codex":0.00009156539,"about_ca_system_score_gemma":0.0000010082006,"threshold_uncertainty_score":0.30224872},"labels":[],"label_agreement":null},{"id":"W4390822608","doi":"10.1086/729447","title":"Bottlenecks for Evidence Adoption","year":2024,"lang":"en","type":"article","venue":"Journal of Political Economy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Center for Health Incentives and Behavioral Economics, University of Pennsylvania; National Institute on Aging; Università Bocconi; Aarhus Universitet; Northwestern University; Harvard University; Queen's University","keywords":"Download; Political science; Politics; Library science; Law and economics; Economics; Law; Computer science; World Wide Web","score_opus":0.15563760391930193,"score_gpt":0.2801324643616356,"score_spread":0.12449486044233365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390822608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51248294,0.023489676,0.27206331,0.029676037,0.0046957666,0.0006597353,0.00017912412,0.00006277451,0.15669061],"genre_scores_gemma":[0.99588364,0.00008501994,0.0021383094,0.0006555991,0.0006952553,0.000010215252,0.0000024723247,0.000015848967,0.00051363284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988432,0.000007284744,0.00074243534,0.00016101214,0.00001550779,0.00023055109],"domain_scores_gemma":[0.9993426,0.00022453773,0.0001852639,0.00009497035,0.000017051918,0.00013557113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007851305,0.00008455712,0.00025239773,0.00015421357,0.00003253257,0.000096511685,0.00011682076,0.00006787674,0.00056456943],"category_scores_gemma":[0.00011663343,0.00008989834,0.00022494273,0.000034532728,0.000048027607,0.00071849104,0.000016979615,0.000116674964,0.00050634635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008497415,0.000021033142,0.005733454,0.000057772468,0.000042219057,0.0000018216908,0.000036085992,0.00004502954,0.000009846086,0.9914042,0.0018684183,0.0007716289],"study_design_scores_gemma":[0.00043831888,0.0003582404,0.024657676,0.00015346617,0.000034365465,0.000068821726,0.000121523466,0.008029539,0.00021218832,0.7897264,0.1759717,0.00022778947],"about_ca_topic_score_codex":0.000008589471,"about_ca_topic_score_gemma":5.626552e-7,"teacher_disagreement_score":0.4834007,"about_ca_system_score_codex":0.00037270802,"about_ca_system_score_gemma":0.0000389809,"threshold_uncertainty_score":0.65082264},"labels":[],"label_agreement":null},{"id":"W4391100891","doi":"10.1111/cjag.12346","title":"Do consumers care about clean labels? Willingness to pay for simple ingredient lists and front‐of‐package labels on beef and plant‐based burgers","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Ingredient; Product (mathematics); Active ingredient; Simple (philosophy); Preference; Willingness to pay; Marketing; Business; Mathematics; Economics; Statistics; Food science; Medicine; Biology; Microeconomics","score_opus":0.04766761545366462,"score_gpt":0.18724575976733995,"score_spread":0.13957814431367532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391100891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889814,0.002983283,0.000053923377,0.001773801,0.001389461,0.0004851872,0.0039177486,0.000008567585,0.00040659212],"genre_scores_gemma":[0.9982355,0.0003101276,0.00033552188,0.0004234377,0.00027010054,0.000026762986,0.00017556417,0.000043484088,0.00017945585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762213,0.000016999866,0.0011533024,0.0005884728,0.000010022061,0.0006090527],"domain_scores_gemma":[0.99777704,0.00021003408,0.0005832008,0.00020934372,0.00005600444,0.0011643738],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005008702,0.00034325014,0.0008041135,0.00047230566,0.00019884604,0.0002532577,0.00026056592,0.00017037797,0.0001658424],"category_scores_gemma":[0.00009097676,0.00032318934,0.00020935164,0.000079377,0.00013363497,0.00043333412,0.00002449086,0.00022691995,0.000036278718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005120017,0.0001116594,0.61769754,0.0022798963,0.0021048635,0.00014675871,0.032443315,0.03488108,0.00024278788,0.22336748,0.025443397,0.060769245],"study_design_scores_gemma":[0.0036321152,0.002235196,0.8137797,0.0009127711,0.0002329704,0.00021006072,0.011074093,0.0024669974,0.0007397951,0.008149155,0.15443406,0.002133055],"about_ca_topic_score_codex":0.010185397,"about_ca_topic_score_gemma":0.18597814,"teacher_disagreement_score":0.21521832,"about_ca_system_score_codex":0.0016639386,"about_ca_system_score_gemma":0.00020695447,"threshold_uncertainty_score":0.99992204},"labels":[],"label_agreement":null},{"id":"W4391115249","doi":"10.1007/s40258-023-00869-7","title":"Comparing Preferences for Disease Profiles: A Discrete Choice Experiment from a US Societal Perspective","year":2024,"lang":"en","type":"article","venue":"Applied Health Economics and Health Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Broadcom (Canada); Vancouver Coastal Health","funders":"Sarepta Therapeutics","keywords":"Health economics; Quality of Life Research; Perspective (graphical); Public health; Health administration; Disease; Public economics; Economics; Medicine; Computer science; Nursing","score_opus":0.2135195766452341,"score_gpt":0.3651716013653532,"score_spread":0.1516520247201191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391115249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89025146,0.034651536,0.0026030364,0.05980602,0.0006021208,0.0031364644,0.0025456487,0.00012986605,0.0062738494],"genre_scores_gemma":[0.98220545,0.009092058,0.0012155494,0.0055658,0.0007956507,0.00069032685,0.0002539295,0.000050338727,0.00013087079],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976618,0.00001315497,0.0008817141,0.0008454216,0.00002111544,0.000576763],"domain_scores_gemma":[0.99879885,0.000090704416,0.00038291264,0.00023652906,0.0000055315345,0.0004854899],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005967019,0.00024787907,0.0006283466,0.00016946273,0.00039217508,0.00017335132,0.00013634672,0.00007559659,0.000065995664],"category_scores_gemma":[0.000008864916,0.00029283148,0.000114487884,0.00006471719,0.00009261687,0.00019732352,0.00008678717,0.00015651838,0.0001328631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029743036,0.00005778407,0.024812343,0.0003393155,0.000089541194,8.103124e-8,0.0053537185,0.00021181029,8.594614e-7,0.9650776,0.0013511166,0.0026761328],"study_design_scores_gemma":[0.0021271356,0.00034465935,0.4144856,0.00013246034,0.000016153479,0.0000010388519,0.0032181526,0.062182494,0.000009987698,0.40043175,0.11622568,0.0008248704],"about_ca_topic_score_codex":0.018598266,"about_ca_topic_score_gemma":0.000566699,"teacher_disagreement_score":0.56464577,"about_ca_system_score_codex":0.0017948664,"about_ca_system_score_gemma":0.0005328965,"threshold_uncertainty_score":0.9999524},"labels":[],"label_agreement":null},{"id":"W4391168922","doi":"10.30707/etd2023.20240124055108710226.999972","title":"Impact of Farm and Producer Characteristics on the Adoption of Best Management Practices among Popcorn Producers in the United States","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Multinomial logistic regression; Agriculture; Sustainability; Best practice; Marketing; Production (economics); Quarter (Canadian coin); Agricultural economics; Economics; Geography","score_opus":0.1036526235644787,"score_gpt":0.2787609243705976,"score_spread":0.1751083008061189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391168922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937881,0.00006366574,0.0000022554232,0.00017215878,0.0001425554,0.00077319867,0.00010619432,0.000005696818,0.0049461327],"genre_scores_gemma":[0.9920384,0.0028425292,0.000018419283,0.000029962186,0.000026003792,0.000079873316,0.001798107,0.000024306815,0.0031423564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988615,0.000037160706,0.0006155948,0.000309005,0.000052347175,0.00012438177],"domain_scores_gemma":[0.99793667,0.000118243166,0.0016079897,0.00030665574,0.000016309174,0.000014130469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009922436,0.00016160899,0.000278293,0.0003167633,0.000044381613,0.000036051195,0.0001659719,0.000082781444,0.00008689579],"category_scores_gemma":[0.00011123351,0.00011198954,0.00006840849,0.00023468303,0.000051972514,0.00009488783,0.000021270695,0.00015941336,0.00005693689],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014981664,0.00042542032,0.97113794,0.00044315876,0.0003437417,0.0000012303516,0.006757964,0.0010198584,0.000019680996,0.01624955,0.00034237062,0.0031092826],"study_design_scores_gemma":[0.00015206788,0.00015999525,0.9901868,0.00007056725,0.0000328508,1.7889955e-7,0.0076051513,0.00082686293,0.000024967007,0.0006894679,0.00013361075,0.00011749658],"about_ca_topic_score_codex":0.0027588697,"about_ca_topic_score_gemma":0.00036429334,"teacher_disagreement_score":0.019048858,"about_ca_system_score_codex":0.0001029306,"about_ca_system_score_gemma":0.000008410523,"threshold_uncertainty_score":0.4566801},"labels":[],"label_agreement":null},{"id":"W4391325782","doi":"10.5334/ijic.7044","title":"Integrated Youth Service Preferences of Caregivers of Justice-Involved Youth: A Discrete Choice Conjoint Experiment","year":2024,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; Toronto Metropolitan University","funders":"University of Melbourne","keywords":"Economic Justice; Service (business); Psychology; Mental health; Preference; Criminal justice; Social psychology; Criminology; Psychiatry; Political science; Business; Marketing","score_opus":0.09068563767499928,"score_gpt":0.2639734981965219,"score_spread":0.17328786052152262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391325782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854872,0.005478873,0.0015308282,0.00019417866,0.0021147076,0.00011439541,0.0019777587,0.000013204769,0.0030888228],"genre_scores_gemma":[0.9986105,0.000428908,0.00038513076,0.000053214775,0.00011884525,0.0000035632866,0.00031737259,0.000020439185,0.00006200525],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9982477,0.000031203144,0.0011998315,0.00023337101,0.00015629693,0.00013163332],"domain_scores_gemma":[0.99836946,0.0000694384,0.0008653897,0.00014142174,0.0004814388,0.00007283941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028513995,0.0001864677,0.00043723048,0.00041470572,0.000022941314,0.00006649686,0.00048641313,0.00010546912,0.00058614416],"category_scores_gemma":[0.00011318014,0.00016627165,0.0002876072,0.00018707608,0.000084773535,0.00037921543,0.000059250957,0.00025391212,0.00003292258],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019609157,0.0010619387,0.3862136,0.0018153762,0.012378405,0.00012366453,0.4764423,0.021444114,0.014911872,0.05505842,0.0020875167,0.026501875],"study_design_scores_gemma":[0.0032575321,0.0009486723,0.013066575,0.0030241718,0.0005915467,0.00001990745,0.9181277,0.007243481,0.047292706,0.0022164609,0.0034507024,0.00076050905],"about_ca_topic_score_codex":0.00305039,"about_ca_topic_score_gemma":0.00019814362,"teacher_disagreement_score":0.44168544,"about_ca_system_score_codex":0.0007754062,"about_ca_system_score_gemma":0.00017858713,"threshold_uncertainty_score":0.6780361},"labels":[],"label_agreement":null},{"id":"W4391388888","doi":"10.1007/s40271-023-00671-6","title":"Stated-Preference Survey Design and Testing in Health Applications","year":2024,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Preference; Conceptualization; Context (archaeology); Selection (genetic algorithm); Quality (philosophy); Test (biology); Process (computing); Population; Computer science; Psychology; Research design; Applied psychology; Management science; Knowledge management; Medicine; Engineering; Geography","score_opus":0.38549341602330056,"score_gpt":0.25838993298938456,"score_spread":0.127103483033916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391388888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89297765,0.0057061478,0.09817842,0.00017142914,0.00011336901,0.00073664356,0.00012976554,0.000039613285,0.001946951],"genre_scores_gemma":[0.99607134,0.00025194013,0.0033721435,0.00007416833,0.000006230567,0.0001383759,0.000027286867,0.000007739172,0.000050748204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993449,0.000023877577,0.0003025301,0.00021329,0.000010277284,0.000105148814],"domain_scores_gemma":[0.9997044,0.00011599866,0.00006595419,0.00007688845,0.0000023945402,0.000034327786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058194867,0.00005052605,0.000096507414,0.00007514581,0.000034175864,0.00003090138,0.00003187245,0.000018113662,0.00004597527],"category_scores_gemma":[0.000028092192,0.00006001465,0.000007410074,0.00010837613,0.000015231301,0.00007884543,0.000022404673,0.00005207846,0.00024089986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030225597,0.00005331779,0.90140486,0.00006388856,0.000008472471,4.4071095e-7,0.0008264044,0.0060205804,0.0000059651084,0.015332461,0.00022361855,0.07605695],"study_design_scores_gemma":[0.00010692843,0.00009587946,0.9037199,0.0000306929,5.3744293e-7,8.8873935e-7,0.00004244308,0.07867754,0.000014369228,0.012914955,0.0042776368,0.00011824262],"about_ca_topic_score_codex":0.0009177741,"about_ca_topic_score_gemma":0.000045575507,"teacher_disagreement_score":0.1030937,"about_ca_system_score_codex":0.00013682416,"about_ca_system_score_gemma":0.000013160775,"threshold_uncertainty_score":0.30963606},"labels":[],"label_agreement":null},{"id":"W4391463882","doi":"10.1093/biosci/biad118","title":"Considerations for developing and implementing a safe list for alien taxa","year":2024,"lang":"en","type":"article","venue":"BioScience","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"HORIZON EUROPE Framework Programme; Department of Forestry, Fisheries and the Environment; Universiteit Stellenbosch; Division of Materials Research; Akademie Věd České Republiky; National Research Foundation; European Commission","keywords":"Alien; Taxon; Geography; Biology; Ecology; Sociology; Demography; Population","score_opus":0.23537242819789966,"score_gpt":0.2870876272752961,"score_spread":0.05171519907739641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391463882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61749876,0.0018756246,0.3669521,0.006232112,0.00089410227,0.0009928675,0.00066516385,0.000054159373,0.004835117],"genre_scores_gemma":[0.96432656,0.000053183903,0.034482494,0.00036545825,0.00005329776,0.000098613964,0.000010299782,0.000006719613,0.0006033545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933827,0.0000017726928,0.00022132418,0.00027083122,0.00001000149,0.00015779473],"domain_scores_gemma":[0.99973434,0.00012140534,0.000057558296,0.000059006055,0.0000047757735,0.00002289687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052516954,0.000052210464,0.000082414575,0.00006193187,0.00024008946,0.00016104452,0.000042322394,0.00002127983,0.00005837372],"category_scores_gemma":[0.00012196123,0.000059869995,0.00002909554,0.000048498547,0.000051342817,0.00022467085,0.000032267006,0.000015955888,0.000026262156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.3011867e-7,0.0000045009406,0.009939554,0.000039984487,0.000006813128,1.0684345e-7,0.00029594882,0.000007734216,0.0007360069,0.98620665,0.0011435541,0.0016182885],"study_design_scores_gemma":[0.00071176456,0.00012936052,0.048513524,0.00005787142,0.000015057593,0.000011716436,0.0004348179,0.108670585,0.0047229244,0.34806135,0.4881063,0.0005647234],"about_ca_topic_score_codex":0.00002805119,"about_ca_topic_score_gemma":0.000031343527,"teacher_disagreement_score":0.6381453,"about_ca_system_score_codex":0.00006814577,"about_ca_system_score_gemma":0.00002103406,"threshold_uncertainty_score":0.24414276},"labels":[],"label_agreement":null},{"id":"W4391651697","doi":"10.1186/s42238-023-00204-w","title":"Examining attributes of retailers that influence where cannabis is purchased: a discrete choice experiment","year":2024,"lang":"en","type":"article","venue":"Journal of Cannabis Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Centre on Substance Use and Addiction; Canadian Institutes of Health Research","keywords":"Multinomial logistic regression; Latent class model; Business; Mixed logit; Discrete choice; Customer base; Marketing; Product (mathematics); Sample (material); Preference; Service (business); Advertising; Logistic regression; Economics; Econometrics; Microeconomics; Computer science","score_opus":0.2333940213266739,"score_gpt":0.3435205164266562,"score_spread":0.11012649509998232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391651697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966064,0.024058813,0.00023934788,0.007068676,0.00026759625,0.00018644538,0.000109434375,0.000007484049,0.001998241],"genre_scores_gemma":[0.992898,0.0020784794,0.00019164222,0.000069745285,0.00014105141,0.000024181523,0.0000037630778,0.000031256553,0.0045618946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979781,0.00007180721,0.00093803334,0.0003223354,0.00027697583,0.0004127467],"domain_scores_gemma":[0.9989075,0.000100117744,0.0004053337,0.00029211637,0.00010922381,0.00018572975],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029763407,0.00015065627,0.00044159513,0.00061384984,0.000107025066,0.00015420743,0.00041110354,0.00011118336,0.0011966992],"category_scores_gemma":[0.00027588496,0.00015048849,0.00017442016,0.00035023197,0.00023138254,0.0007702742,0.00013388523,0.00052044424,0.0001322294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113214235,0.00015200736,0.8271757,0.0005135768,0.00053250015,0.000063498046,0.0091739595,0.0015599706,0.0051645,0.0047447886,0.14342509,0.007381215],"study_design_scores_gemma":[0.0011178069,0.0011881555,0.49881238,0.00063923444,0.000025275496,0.000051724797,0.004029815,0.0025420904,0.015599805,0.0044724266,0.47103354,0.00048775467],"about_ca_topic_score_codex":0.00082986715,"about_ca_topic_score_gemma":0.000042415115,"teacher_disagreement_score":0.3283633,"about_ca_system_score_codex":0.00068954314,"about_ca_system_score_gemma":0.00015132417,"threshold_uncertainty_score":0.99971634},"labels":[],"label_agreement":null},{"id":"W4391734267","doi":"10.1016/j.wre.2024.100239","title":"Public preferences for water-conserving groundcovers on verges","year":2024,"lang":"en","type":"article","venue":"Water Resources and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Western Australia; Forrest Research Foundation","keywords":"Revegetation; Vegetation (pathology); Geography; Neighbourhood (mathematics); Environmental resource management; Agroforestry; Ecology; Environmental science","score_opus":0.13662886405531038,"score_gpt":0.20416007799901084,"score_spread":0.06753121394370046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391734267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989017,0.0007893814,0.00017889893,0.001888916,0.00052539597,0.00019922538,0.00010761659,0.00004866963,0.007244882],"genre_scores_gemma":[0.99682015,0.000699048,0.00011888709,0.00032732874,0.00018817387,0.000060484064,0.0000957388,0.000033948087,0.0016562544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872935,0.000007445198,0.0004007042,0.0005013314,0.0000114839895,0.0003497055],"domain_scores_gemma":[0.99964625,0.000046982546,0.00004725233,0.00017599334,0.0000031594543,0.0000803852],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046134822,0.00016971421,0.00025209648,0.00015941676,0.00017212992,0.00049209874,0.00014131564,0.000094974894,0.00045399004],"category_scores_gemma":[0.0000063414404,0.00013556068,0.00010125742,0.000015682628,0.00006172594,0.00041663772,0.00008288679,0.00007981672,0.00086191855],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029289487,0.00032270787,0.33554506,0.0011904378,0.0013517104,0.000007421919,0.03307968,0.006904543,0.0007720805,0.57453233,0.0043463395,0.041654814],"study_design_scores_gemma":[0.0006942836,0.00030596257,0.010807223,0.000036864574,0.000019944897,0.000007530975,0.0005421687,0.018188257,0.0021431423,0.1536699,0.812954,0.00063071144],"about_ca_topic_score_codex":0.00011302063,"about_ca_topic_score_gemma":0.000035154622,"teacher_disagreement_score":0.8086077,"about_ca_system_score_codex":0.00011998731,"about_ca_system_score_gemma":0.000003125972,"threshold_uncertainty_score":0.999916},"labels":[],"label_agreement":null},{"id":"W4391814637","doi":"10.1017/age.2024.1","title":"Do people value farmers markets: A spatial hedonic pricing model approach","year":2024,"lang":"en","type":"article","venue":"Agricultural and Resource Economics Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"University of Cambridge","keywords":"Externality; Hedonic pricing; Willingness to pay; Property value; Residential property; Value (mathematics); Economics; Agricultural economics; Microeconomics; Quality (philosophy); Business; Public economics; Natural resource economics; Econometrics; Economic geography","score_opus":0.04060638006134022,"score_gpt":0.1980584081606927,"score_spread":0.1574520280993525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391814637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6288243,0.3142409,0.0018695907,0.0025758648,0.000309208,0.0008946476,0.00012262992,0.00009551519,0.051067352],"genre_scores_gemma":[0.81022763,0.18498407,0.0007472577,0.0008915334,0.00020951772,0.00010027991,0.00017199216,0.000037485235,0.002630203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998108,0.000027331327,0.00078043586,0.00073215825,0.000028229342,0.0003238085],"domain_scores_gemma":[0.99935865,0.000049135364,0.00022654621,0.00022670128,0.000005989473,0.00013296273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007375904,0.00028553844,0.00062469445,0.00007954295,0.00015442695,0.00019207595,0.0001916138,0.00012712272,0.0002341931],"category_scores_gemma":[0.000020657613,0.00022864921,0.00024469462,0.00012784025,0.000054083677,0.00032718902,0.00013364959,0.00023224673,0.0004384934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055803273,0.0004777174,0.0467194,0.015881766,0.0015246946,0.000007258436,0.005301284,0.07769257,0.000063458276,0.53854865,0.03918902,0.2745384],"study_design_scores_gemma":[0.0011142691,0.00013723582,0.13325125,0.0023324578,0.00029892902,0.00026303416,0.0012166207,0.511159,0.000010811281,0.011357065,0.33643338,0.0024259775],"about_ca_topic_score_codex":0.00011295416,"about_ca_topic_score_gemma":0.000007964069,"teacher_disagreement_score":0.5271916,"about_ca_system_score_codex":0.0002587688,"about_ca_system_score_gemma":0.000014856601,"threshold_uncertainty_score":0.9324044},"labels":[],"label_agreement":null},{"id":"W4391954120","doi":"10.2460/ajvr.23.10.0228","title":"What do veterinary professionals and clients want? Using discrete choice methods in veterinary research to determine preferences","year":2024,"lang":"en","type":"article","venue":"American Journal of Veterinary Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Veterinary medicine; Ranking (information retrieval); Receptionists; Preference; Medicine; Panacea (medicine); Quality (philosophy); Nursing; Computer science; Alternative medicine; Mathematics; Pathology","score_opus":0.5897616837238793,"score_gpt":0.529059875948051,"score_spread":0.06070180777582823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391954120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99059886,0.0067635733,0.0003231517,0.00085670076,0.0006986358,0.00038092837,0.000024676154,0.0000084836065,0.00034496805],"genre_scores_gemma":[0.9838006,0.003814986,0.011723115,0.00005772601,0.00022188405,0.000046031473,0.0000034897798,0.000048489143,0.00028369314],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99594873,0.0012442906,0.0011178146,0.00065649184,0.00029963278,0.000733028],"domain_scores_gemma":[0.9976833,0.0013039901,0.00025842164,0.0003522713,0.00008423164,0.00031778624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011216591,0.00021775757,0.0006371573,0.0017685186,0.00023075397,0.00046117537,0.00054998114,0.00008814671,0.00025278362],"category_scores_gemma":[0.00034300424,0.00021196656,0.00011053816,0.0009823162,0.0005920833,0.0015505435,0.0007822314,0.0010124453,0.00009899728],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024145057,0.0008046491,0.122754544,0.0007999112,0.00037237362,0.0020032981,0.015145732,0.00043334288,0.06929173,0.0010716347,0.00051792373,0.78439033],"study_design_scores_gemma":[0.0026863674,0.07470799,0.73717415,0.008950322,0.000035496996,0.004766743,0.040856488,0.019273823,0.00078073225,0.022541465,0.086229034,0.00199739],"about_ca_topic_score_codex":0.0002334135,"about_ca_topic_score_gemma":0.000002647776,"teacher_disagreement_score":0.782393,"about_ca_system_score_codex":0.0005522122,"about_ca_system_score_gemma":0.00010427732,"threshold_uncertainty_score":0.8643746},"labels":[],"label_agreement":null},{"id":"W4392122158","doi":"10.1142/s0219024923500346","title":"KRIGING METHODS FOR MODELING SPATIAL BASIS RISK IN WEATHER INDEX INSURANCES: A TECHNICAL NOTE","year":2024,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Kriging; Basis risk; Index (typography); Basis (linear algebra); Econometrics; Actuarial science; Computer science; Statistics; Economics; Mathematics; Capital asset pricing model","score_opus":0.03187593874508187,"score_gpt":0.2882318003775486,"score_spread":0.2563558616324667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392122158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1773152,0.0011296617,0.817974,0.0006712011,0.00038541466,0.000090329435,0.000037636408,0.0000060914144,0.0023904855],"genre_scores_gemma":[0.9561708,0.0010715784,0.042411957,0.000100954945,0.00019362853,0.0000177982,0.0000020339469,0.000013512956,0.000017730184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99901074,0.0000131806155,0.00060644874,0.00020667937,0.000041693285,0.00012123602],"domain_scores_gemma":[0.99952507,0.00019064054,0.00018011944,0.000059571543,0.000014894864,0.000029696084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012236835,0.00009565513,0.00024392262,0.00016297065,0.000027107128,0.00006662876,0.00018175799,0.00008160717,0.00009134079],"category_scores_gemma":[0.00009136164,0.00009024118,0.00010066686,0.000052232106,0.00011065838,0.0001350489,0.000044815206,0.00023141342,0.000012194269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012519152,0.000040708554,0.0039379913,0.000010324786,0.000028484108,0.0000021484284,0.00013226178,0.009493919,0.00009324823,0.8718736,0.0000119398455,0.114250146],"study_design_scores_gemma":[0.00049161754,0.00003111984,0.002990175,0.000058627447,0.000006153334,0.00001233669,0.000016998958,0.44317004,0.00013052255,0.5509554,0.002041428,0.000095550946],"about_ca_topic_score_codex":0.000018359146,"about_ca_topic_score_gemma":0.0000029709552,"teacher_disagreement_score":0.7788556,"about_ca_system_score_codex":0.000108675486,"about_ca_system_score_gemma":0.00001387701,"threshold_uncertainty_score":0.36799285},"labels":[],"label_agreement":null},{"id":"W4392128246","doi":"10.1111/ele.14388","title":"The global value of freshwater lakes","year":2024,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Ecosystem services; Valuation (finance); Natural resource economics; Asset (computer security); Population; Real estate; Economics; Ecology; Business; Ecosystem; Geography; Environmental resource management; Finance; Biology","score_opus":0.028610173752198566,"score_gpt":0.20056807726215423,"score_spread":0.17195790350995566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392128246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98020226,0.0008337544,0.0004016323,0.011756803,0.0011030553,0.0000735376,0.00007473129,0.000018046174,0.0055361753],"genre_scores_gemma":[0.99812675,0.00008209548,0.00016255793,0.0011594477,0.000070627146,0.00001099813,0.000008780985,0.0000067404726,0.00037202667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941164,0.000011653942,0.0002578026,0.00016513374,0.00001056044,0.00014318981],"domain_scores_gemma":[0.9997333,0.000062157036,0.000059763566,0.0001263295,0.0000011913708,0.000017205799],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028583995,0.00005868462,0.00011156737,0.000027093189,0.000060290316,0.00002507519,0.00011768436,0.000044155953,0.000478409],"category_scores_gemma":[0.0000130306835,0.00005102758,0.00006852163,0.000042950305,0.00012284855,0.00007688643,0.000032643544,0.000054964214,0.0015341868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033679835,0.000012859359,0.682118,0.000009084076,0.00009663421,0.0000032153678,0.00009714388,0.00042722834,0.00008246748,0.30302325,0.013781194,0.0003455527],"study_design_scores_gemma":[0.00018213317,0.00004115613,0.83585745,0.0000047255007,0.000010516552,0.000005882357,0.00003302988,0.004745438,0.000108168584,0.039433617,0.11945505,0.00012282487],"about_ca_topic_score_codex":0.000044325217,"about_ca_topic_score_gemma":0.00020578921,"teacher_disagreement_score":0.26358962,"about_ca_system_score_codex":0.00014489828,"about_ca_system_score_gemma":0.0000045424918,"threshold_uncertainty_score":0.99924326},"labels":[],"label_agreement":null},{"id":"W4392157325","doi":"10.1007/s13157-023-01744-w","title":"What waterfowl hunters want: exploring heterogeneity in hunting trip preferences","year":2024,"lang":"en","type":"article","venue":"Wetlands","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"U.S. Geological Survey; University of Alberta; Mitacs; Association of Fish and Wildlife Agencies; Wildlife Habitat Canada; Government of Ontario; University of Minnesota; Ducks Unlimited Canada","keywords":"Waterfowl; Geography; Fishery; Competition (biology); Hunting season; Population; Habitat; Ecology; Biology; Demography","score_opus":0.20967373155079289,"score_gpt":0.24574572334349915,"score_spread":0.03607199179270626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392157325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914976,0.0016386912,0.00017602228,0.00027198286,0.0014341985,0.00008966916,0.0000125184615,0.00004181556,0.004837534],"genre_scores_gemma":[0.9975799,0.001756824,0.0000629261,0.000056045978,0.0000977987,0.000053675616,0.00003084264,0.00001741929,0.000344592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897015,0.00001054979,0.00040776393,0.0003660309,0.000022805269,0.0002227266],"domain_scores_gemma":[0.9997342,0.000026813776,0.000058327514,0.00014102903,0.0000015344349,0.000038085916],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044825586,0.000113492824,0.00020302316,0.00018949485,0.000045397515,0.0002548651,0.000113905226,0.00005527561,0.00034013222],"category_scores_gemma":[0.000008692648,0.000120983015,0.000069448855,0.0000960488,0.000022717348,0.0011934605,0.000052045783,0.00011289466,0.00088961347],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060273396,0.000022345164,0.98562795,0.000048599715,0.000025616468,0.0000032235068,0.0017175741,0.00032678345,0.00005301624,0.0025274514,0.00003480048,0.009606605],"study_design_scores_gemma":[0.00090682495,0.00011907474,0.9364405,0.00032082445,0.000011502349,0.000007725448,0.0022362499,0.028460497,0.0027148935,0.01252492,0.015600226,0.0006567102],"about_ca_topic_score_codex":0.00012261003,"about_ca_topic_score_gemma":0.00018883441,"teacher_disagreement_score":0.049187403,"about_ca_system_score_codex":0.0001326545,"about_ca_system_score_gemma":0.000004080538,"threshold_uncertainty_score":0.9998883},"labels":[],"label_agreement":null},{"id":"W4392548052","doi":"10.32920/25360306.v1","title":"Preferences regarding emerging HIV prevention technologies among Toronto men who have sex with men: a discrete choice experiment","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital; Hassle Free Clinic; University of Toronto; Toronto Metropolitan University; BC Centre for Disease Control; Public Health Ontario","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Men who have sex with men; Human immunodeficiency virus (HIV); Psychology; Demography; Gerontology; Medicine; Sociology; Family medicine","score_opus":0.05526774795454652,"score_gpt":0.2538000982041503,"score_spread":0.19853235024960375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392548052","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3477692,0.008386048,0.005468717,0.0007900167,0.00014769792,0.0011420165,0.00008661699,0.00038030627,0.6358294],"genre_scores_gemma":[0.91377723,0.0014604898,0.0012840907,0.000014401013,0.000105632505,0.0007310554,0.0001268839,0.00006321046,0.082437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975038,0.000023799528,0.0008162883,0.0012158649,0.000078185316,0.00036204688],"domain_scores_gemma":[0.99867016,0.000029600793,0.0005753594,0.00065893354,0.000008816325,0.00005711178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053726503,0.00043670606,0.0006685478,0.00020487397,0.00012830531,0.00029739834,0.00040320415,0.00034554183,0.0007895963],"category_scores_gemma":[0.000021135316,0.00041590436,0.00015909871,0.00006212165,0.00011620789,0.0004454765,0.0011527336,0.0003933115,0.00017277575],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008215505,0.00028094358,0.8240482,0.0011899354,0.0027686106,0.0000074801906,0.012349899,0.017668905,0.00006927685,0.07848417,0.04388933,0.01916107],"study_design_scores_gemma":[0.003020375,0.00078483106,0.10079451,0.0023142574,0.00040012706,0.00000814364,0.099803776,0.53881615,0.0065391953,0.22275856,0.019697446,0.0050626225],"about_ca_topic_score_codex":0.0028756498,"about_ca_topic_score_gemma":0.0009093137,"teacher_disagreement_score":0.7232537,"about_ca_system_score_codex":0.0011030564,"about_ca_system_score_gemma":0.000023939867,"threshold_uncertainty_score":0.9998293},"labels":[],"label_agreement":null},{"id":"W4392549647","doi":"10.32920/25360306","title":"Preferences regarding emerging HIV prevention technologies among Toronto men who have sex with men: a discrete choice experiment","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital; Hassle Free Clinic; University of Toronto; Toronto Metropolitan University; BC Centre for Disease Control; Public Health Ontario","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Men who have sex with men; Human immunodeficiency virus (HIV); Psychology; Demography; Sociology; Medicine; Family medicine","score_opus":0.05526774795454652,"score_gpt":0.2538000982041503,"score_spread":0.19853235024960375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392549647","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3477692,0.008386048,0.005468717,0.0007900167,0.00014769792,0.0011420165,0.00008661699,0.00038030627,0.6358294],"genre_scores_gemma":[0.91377723,0.0014604898,0.0012840907,0.000014401013,0.000105632505,0.0007310554,0.0001268839,0.00006321046,0.082437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975038,0.000023799528,0.0008162883,0.0012158649,0.000078185316,0.00036204688],"domain_scores_gemma":[0.99867016,0.000029600793,0.0005753594,0.00065893354,0.000008816325,0.00005711178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053726503,0.00043670606,0.0006685478,0.00020487397,0.00012830531,0.00029739834,0.00040320415,0.00034554183,0.0007895963],"category_scores_gemma":[0.000021135316,0.00041590436,0.00015909871,0.00006212165,0.00011620789,0.0004454765,0.0011527336,0.0003933115,0.00017277575],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008215505,0.00028094358,0.8240482,0.0011899354,0.0027686106,0.0000074801906,0.012349899,0.017668905,0.00006927685,0.07848417,0.04388933,0.01916107],"study_design_scores_gemma":[0.003020375,0.00078483106,0.10079451,0.0023142574,0.00040012706,0.00000814364,0.099803776,0.53881615,0.0065391953,0.22275856,0.019697446,0.0050626225],"about_ca_topic_score_codex":0.0028756498,"about_ca_topic_score_gemma":0.0009093137,"teacher_disagreement_score":0.7232537,"about_ca_system_score_codex":0.0011030564,"about_ca_system_score_gemma":0.000023939867,"threshold_uncertainty_score":0.9998293},"labels":[],"label_agreement":null},{"id":"W4392591078","doi":"10.2139/ssrn.4752323","title":"How Much are Public Parks Worth? An Estimation Of Recreational Value for Saskatchewan Provincial Parks","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Recreation; Estimation; Value (mathematics); Public park; Geography; Business; Economics; Statistics; Political science; Environmental planning; Mathematics","score_opus":0.04865548018275253,"score_gpt":0.23417097386946625,"score_spread":0.18551549368671372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392591078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86220366,0.008262118,0.122009546,0.003950999,0.0011772924,0.0009683257,0.00065484183,0.000044117427,0.0007291199],"genre_scores_gemma":[0.9930691,0.0013953691,0.0022273294,0.000045375902,0.00076409825,0.00015189339,0.00067181553,0.00007323532,0.0016017508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99708253,0.000050605897,0.0009786667,0.0006480514,0.00010251395,0.0011376381],"domain_scores_gemma":[0.9978728,0.000049845967,0.0015538774,0.00034232432,0.000060219914,0.00012091897],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029516495,0.00032474948,0.00061840034,0.00037928773,0.00017584627,0.0003561621,0.00040047732,0.00042339982,0.00006026706],"category_scores_gemma":[0.00015915428,0.00037858856,0.00037549937,0.0000939752,0.00007364393,0.00043234852,0.00017341683,0.0018841475,0.000029202658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006853074,0.00024099962,0.019334845,0.00023360582,0.0006360418,7.597773e-7,0.0005884346,0.008631272,0.000011095022,0.9358902,0.00024860282,0.03411561],"study_design_scores_gemma":[0.0005255105,0.00024903857,0.006338964,0.00008220761,0.00006906862,0.000025748552,0.0017123042,0.03728826,0.000030906453,0.95278627,0.000515252,0.00037645022],"about_ca_topic_score_codex":0.00017670877,"about_ca_topic_score_gemma":0.0013741158,"teacher_disagreement_score":0.1308655,"about_ca_system_score_codex":0.002701966,"about_ca_system_score_gemma":0.0019207371,"threshold_uncertainty_score":0.9998666},"labels":[],"label_agreement":null},{"id":"W4392649757","doi":"10.3390/en17061317","title":"Choosing to Pay More for Electricity: An Experiment on the Level of Residential Consumer Cooperation","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"HEC Montréal; Ecolab","keywords":"Greenhouse gas; Subsidy; Consumption (sociology); Electricity; Hydropower; Value (mathematics); Constraint (computer-aided design); Welfare; Business; Environmental economics; Economics; Natural resource economics; Efficient energy use; Electricity market; Energy consumption; Public economics; Market economy","score_opus":0.20887032364057043,"score_gpt":0.28978442406369614,"score_spread":0.08091410042312572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392649757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99041116,0.00067335437,0.0064394497,0.0012216684,0.00030422083,0.000200572,0.0000768845,0.000015498808,0.00065719476],"genre_scores_gemma":[0.9975983,0.00006867005,0.0005972041,0.00027318552,0.00007832133,0.00008334867,0.00002385242,0.000013684985,0.0012634697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994552,0.000008397181,0.00023287818,0.00018923047,0.000020179066,0.00009411947],"domain_scores_gemma":[0.9997378,0.00005506161,0.000047971,0.00013372477,0.0000057330963,0.000019728981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026232385,0.000067032,0.000109840454,0.00008120097,0.00007383935,0.00006474969,0.000071566494,0.000029909035,0.0001567854],"category_scores_gemma":[0.00002963012,0.000052553052,0.00004187146,0.00005839859,0.000023173825,0.00013027777,0.0000154617,0.000035255198,0.00008041432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006236125,0.00010307467,0.003904704,0.00003285169,0.00011153517,5.202084e-7,0.004118519,0.05028672,0.01722158,0.90525687,0.01291012,0.005991166],"study_design_scores_gemma":[0.0010831152,0.0010250132,0.09388954,0.000120212506,0.000044188982,0.0000028031902,0.0022121998,0.09459595,0.68068004,0.02194903,0.10351877,0.0008791258],"about_ca_topic_score_codex":0.00014785933,"about_ca_topic_score_gemma":0.000016966416,"teacher_disagreement_score":0.8833078,"about_ca_system_score_codex":0.00008163685,"about_ca_system_score_gemma":0.000010288007,"threshold_uncertainty_score":0.21430512},"labels":[],"label_agreement":null},{"id":"W4392663810","doi":"10.1139/cjfas-2023-0269","title":"Psychological commitment of freshwater anglers and its relation to their preferences for stocking and other management actions","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; Florida Fish and Wildlife Conservation Commission; U.S. Department of Agriculture","keywords":"Stocking; Centrality; Recreation; Habitat; Geography; Stakeholder; Micropterus; Ecology; Environmental resource management; Business; Fishery; Bass (fish); Biology; Economics; Forestry","score_opus":0.20563137108272012,"score_gpt":0.2658677185771533,"score_spread":0.060236347494433184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392663810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947415,0.0015894214,0.00068473635,0.0012351874,0.00015319262,0.00011057061,0.000031328917,0.0000010070382,0.0014530545],"genre_scores_gemma":[0.99824256,0.00014941499,0.0013733073,0.00011913963,0.000016374666,0.0000047864514,4.45757e-7,0.0000022150944,0.00009174923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960446,0.000005497199,0.00019649997,0.00010235689,0.000015322768,0.00007588603],"domain_scores_gemma":[0.99978405,0.0000375816,0.00007333382,0.000024043306,0.000002639931,0.0000783296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038603717,0.000041978816,0.000095810916,0.00012668558,0.00010680296,0.0000929893,0.000045107347,0.000018968383,0.00008995928],"category_scores_gemma":[0.000013848674,0.000033341716,0.000016052347,0.00005061311,0.00010343137,0.00017370441,0.0000066379794,0.000025030797,0.0000014883951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018515497,0.000025664049,0.7973191,0.00013098135,0.00015290767,0.0000024613473,0.011334169,0.00024977734,0.00006815899,0.12084106,0.0023334024,0.067523815],"study_design_scores_gemma":[0.0004483056,0.0011374399,0.8059505,0.00022738395,0.000032472566,0.000027455028,0.006962498,0.013601769,0.00007915464,0.09503914,0.07624683,0.0002470618],"about_ca_topic_score_codex":0.00020687743,"about_ca_topic_score_gemma":0.0013046796,"teacher_disagreement_score":0.073913425,"about_ca_system_score_codex":0.000023647764,"about_ca_system_score_gemma":0.0000095278465,"threshold_uncertainty_score":0.13596357},"labels":[],"label_agreement":null},{"id":"W4392755575","doi":"10.1093/erae/jbae001","title":"Comparing climate pledges and eco-taxation in a networked agricultural supply chain organisation","year":2024,"lang":"en","type":"article","venue":"European Review of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Agriculture; Position (finance); Climate change; Economics; Supply chain; Greenhouse gas; European union; Natural resource economics; Environmental economics; Business; Economic policy; Geography; Finance; Ecology","score_opus":0.04471975006884935,"score_gpt":0.1998376686675706,"score_spread":0.15511791859872126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392755575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94126576,0.044053532,0.000019099754,0.00067044504,0.00028548998,0.00038282564,0.000057343623,0.00003539854,0.013230119],"genre_scores_gemma":[0.9027831,0.09619585,0.00022295016,0.00014967652,0.00015065564,0.000011678286,0.0002773408,0.00002017239,0.00018857092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982328,0.00006280197,0.0010429079,0.00042054703,0.000018508168,0.0002224394],"domain_scores_gemma":[0.99919546,0.000043602537,0.00055726094,0.00013545628,0.000009058486,0.000059184567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009923596,0.00020359897,0.0005043642,0.00008783774,0.00005564697,0.000092816925,0.00014058664,0.000042668147,0.00017414354],"category_scores_gemma":[0.00003217106,0.00017218063,0.00011048745,0.00012816676,0.00004363192,0.00051706604,0.000099898796,0.00013486485,0.0005972582],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022204638,0.00020450872,0.7547842,0.010782886,0.00029334443,0.000007855563,0.004003013,0.008165316,0.00052233366,0.19465098,0.008509494,0.01805384],"study_design_scores_gemma":[0.0002538558,0.000035309546,0.9922396,0.0012972095,0.000016789765,0.000015760761,0.00018891494,0.001690088,0.000027072849,0.00024690424,0.003722774,0.0002657104],"about_ca_topic_score_codex":0.000030133047,"about_ca_topic_score_gemma":0.0000570277,"teacher_disagreement_score":0.23745538,"about_ca_system_score_codex":0.00023131959,"about_ca_system_score_gemma":0.000005436756,"threshold_uncertainty_score":0.7676745},"labels":[],"label_agreement":null},{"id":"W4392874513","doi":"10.1016/j.jglr.2025.102529","title":"The aggregate economic value of Great Lakes recreational fishing trips","year":2025,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Great Lakes Fishery Commission","keywords":"TRIPS architecture; Fishing; Recreation; Fishery; Recreational fishing; Value (mathematics); Aggregate (composite); Geography; Environmental science; Economics; Transport engineering; Engineering; Ecology; Mathematics; Statistics; Biology","score_opus":0.12903113737433058,"score_gpt":0.3128449831657489,"score_spread":0.1838138457914183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392874513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9523974,0.005028621,0.00023311372,0.0037630436,0.00050764414,0.00019362227,0.000065488224,0.000004388379,0.03780667],"genre_scores_gemma":[0.98267174,0.005176519,0.0002627133,0.0000545058,0.00023279272,0.00001184725,0.000008444569,0.000017093806,0.01156435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803215,0.00013403833,0.0011574863,0.00022565226,0.00012890906,0.0003217791],"domain_scores_gemma":[0.9981483,0.00073260686,0.00064830045,0.0003014628,0.00008379269,0.000085496715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004678593,0.00012506299,0.0004188575,0.00048165297,0.00035439702,0.00015083993,0.00053217326,0.00010840562,0.00058236666],"category_scores_gemma":[0.00043791928,0.00010644284,0.00022860698,0.00019476927,0.00028399238,0.00043764425,0.000107996624,0.0004190607,0.0001689476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042529046,0.00012681067,0.69054514,0.00007934157,0.00059142814,0.00001118722,0.00050041085,0.0041180495,0.0002577043,0.25632033,0.02537791,0.02164642],"study_design_scores_gemma":[0.0031423161,0.0005711744,0.63192976,0.00036478415,0.00004616719,0.000052163905,0.00082565116,0.011464086,0.0018767011,0.14083186,0.20852697,0.00036839864],"about_ca_topic_score_codex":0.00012405956,"about_ca_topic_score_gemma":0.00012265929,"teacher_disagreement_score":0.18314905,"about_ca_system_score_codex":0.00060957123,"about_ca_system_score_gemma":0.00014719315,"threshold_uncertainty_score":0.63765067},"labels":[],"label_agreement":null},{"id":"W4392882776","doi":"10.1111/ele.14406","title":"Range expansion is both slower and more variable with rapid evolution across a spatial gradient in temperature","year":2024,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Range (aeronautics); Replicate; Ecology; Environmental gradient; Selection (genetic algorithm); Biology; Population; Front (military); Variable (mathematics); Trait; Geology; Statistics; Habitat; Oceanography; Mathematics","score_opus":0.016484655792404785,"score_gpt":0.1942264639086848,"score_spread":0.17774180811628001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392882776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99280936,0.0008614311,0.00074394414,0.0045933723,0.00045989107,0.000206172,0.000062259714,0.000021703741,0.00024184569],"genre_scores_gemma":[0.99681294,0.000099207915,0.00030480587,0.0024132347,0.00007437053,0.000043004155,0.000025602783,0.000017846376,0.00020897377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908364,0.000013679941,0.00023812804,0.00040453367,0.000018161409,0.00024186661],"domain_scores_gemma":[0.9997523,0.000026975757,0.000057336147,0.00012577522,0.000001909129,0.000035733745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029250322,0.00011849449,0.00019893817,0.000109308654,0.00007449337,0.000045589753,0.000054595068,0.00011479891,0.00043269288],"category_scores_gemma":[0.0000062122854,0.00012173265,0.000029988087,0.000094370196,0.00009117521,0.00022121052,0.00003333258,0.0001633297,0.00013901677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045291163,0.00006069389,0.98862094,0.000040402992,0.0000638109,0.000026352993,0.0028103848,0.000612229,0.0007798953,0.0026098092,0.00391899,0.00041120482],"study_design_scores_gemma":[0.00076658966,0.00009596926,0.99115795,0.00002172259,0.0000069613347,0.00001446365,0.00014105323,0.0045681316,0.000028643122,0.0005330323,0.00248927,0.00017619251],"about_ca_topic_score_codex":0.0003712803,"about_ca_topic_score_gemma":0.00025308772,"teacher_disagreement_score":0.0040035737,"about_ca_system_score_codex":0.0003254257,"about_ca_system_score_gemma":0.000009404022,"threshold_uncertainty_score":0.49641132},"labels":[],"label_agreement":null},{"id":"W4393405177","doi":"10.32866/001c.115720","title":"Using Behavioral Nudges and Incentives to Increase Affordability of Transit Systems through Donations","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Nudge theory; Incentive; Donation; Altruism (biology); Sunk costs; Transit (satellite); Transit system; Public economics; Economics; Business; Marketing; Actuarial science; Psychology; Social psychology; Public transport; Microeconomics; Transport engineering; Economic growth; Engineering","score_opus":0.20386474612245017,"score_gpt":0.2918543214286479,"score_spread":0.08798957530619775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393405177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901065,0.00093603414,0.0067811245,0.00014199555,0.00020044904,0.00018490599,0.00026506025,0.000016044827,0.0013678716],"genre_scores_gemma":[0.9985927,0.00004292318,0.0010913273,0.000017689801,0.000021977989,0.000012627542,0.000014357269,0.000010156289,0.00019628926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936056,0.000007162817,0.00029155868,0.00022409155,0.00001895836,0.000097690405],"domain_scores_gemma":[0.9998066,0.00002077437,0.00004656297,0.000087245535,0.000004213363,0.00003464725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025258382,0.000071209324,0.00016547689,0.000089600304,0.000053788703,0.000049280818,0.000049689934,0.00004423825,0.00011849782],"category_scores_gemma":[0.000010509718,0.00008404859,0.000040657906,0.0000958958,0.000049364397,0.00031805926,0.000028016244,0.00004502973,0.000052752537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014665408,0.00012747906,0.7769895,0.00021905666,0.000051089733,0.0000015273486,0.006864161,0.0011871003,0.0016848105,0.21207945,0.00025809192,0.00052307243],"study_design_scores_gemma":[0.00052599044,0.00017772615,0.9504436,0.00015944251,0.00005841175,0.000011436054,0.0017233859,0.017160913,0.0014788266,0.01566434,0.012098953,0.0004969237],"about_ca_topic_score_codex":0.001296177,"about_ca_topic_score_gemma":0.000014125348,"teacher_disagreement_score":0.1964151,"about_ca_system_score_codex":0.00012582094,"about_ca_system_score_gemma":0.000007702303,"threshold_uncertainty_score":0.3427402},"labels":[],"label_agreement":null},{"id":"W4393924800","doi":"10.1016/j.envdev.2024.100983","title":"A practical and pragmatic way to assess deeper motivations for ecosystems preservation in developing country – The case of banc d’Arguin National Park (Mauritania)","year":2024,"lang":"en","type":"article","venue":"Environmental Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"Fonds Français pour l'Environnement Mondial; Agence Française de Développement","keywords":"Willingness to pay; National park; Biodiversity; Contingent valuation; Geography; Ecosystem services; Valuation (finance); Environmental resource management; Fishing; Value (mathematics); Population; Total economic value; Ecosystem; Socioeconomics; Business; Fishery; Ecology; Economics; Sociology","score_opus":0.11528446272977635,"score_gpt":0.27324573626685,"score_spread":0.15796127353707365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393924800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96237504,0.00032187116,0.034140784,0.0014569142,0.00017134387,0.0008569647,0.00015445105,0.000010433774,0.00051221915],"genre_scores_gemma":[0.97466296,0.00005870173,0.024282355,0.00016368773,0.000029960322,0.0004490896,0.000120906705,0.00001958991,0.00021276866],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99878776,0.000024101608,0.00064411305,0.00031945744,0.000061903054,0.00016268663],"domain_scores_gemma":[0.99947006,0.00026359933,0.0001237688,0.00009764,0.0000039459383,0.000040981336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010930637,0.00012377501,0.00017857591,0.00012807704,0.00011671415,0.000056889778,0.000068303365,0.00005886758,0.00012322857],"category_scores_gemma":[0.00008979229,0.00012255968,0.000025959831,0.00010118718,0.000034539684,0.00038469463,0.00007351842,0.00007511185,0.0000788409],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028720755,0.0002841889,0.40009326,0.00044928002,0.0002191372,0.000022718461,0.0061036614,0.0015600573,0.00047275334,0.58665013,0.0020687075,0.0020474163],"study_design_scores_gemma":[0.000584158,0.00004622671,0.9256508,0.00012921548,0.000010636299,0.000103936356,0.0011178434,0.023976631,0.000530257,0.012655828,0.034829374,0.00036512903],"about_ca_topic_score_codex":0.000036740705,"about_ca_topic_score_gemma":0.00020408334,"teacher_disagreement_score":0.5739943,"about_ca_system_score_codex":0.0007809651,"about_ca_system_score_gemma":0.000049777827,"threshold_uncertainty_score":0.49978387},"labels":[],"label_agreement":null},{"id":"W4393988350","doi":"10.1111/csp2.13102","title":"Who prioritizes what? A cross‐jurisdictional comparative analysis of salmon fish passage strategies in Western Washington","year":2024,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"Washington Sea Grant, University of Washington; University of Washington","keywords":"Fish migration; Habitat; Jurisdiction; Metric (unit); Transferability; Fish <Actinopterygii>; Environmental resource management; Prioritization; Replicate; Geography; Environmental planning; Computer science; Ecology; Fishery; Biology; Business; Operations management; Political science; Statistics; Environmental science; Law; Engineering; Process management; Machine learning","score_opus":0.14922507853246808,"score_gpt":0.3438568244742125,"score_spread":0.19463174594174443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393988350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880463,0.0012552416,0.00090592774,0.0032498927,0.00017197247,0.000104332,0.00003248947,0.0000117775535,0.0062220576],"genre_scores_gemma":[0.99766517,0.00124414,0.00027825506,0.0005907105,0.000016506843,0.000011370812,0.000017275495,0.0000029912615,0.00017360196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897385,0.000033952678,0.00044509943,0.0003432554,0.0000874714,0.000116378666],"domain_scores_gemma":[0.9990128,0.0005541741,0.0002256353,0.00011664677,0.00005673626,0.00003395019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026560975,0.00007534373,0.00022466732,0.00047276722,0.000103474646,0.00085593684,0.00010415495,0.000042846805,0.00008867665],"category_scores_gemma":[0.00021724365,0.00008606688,0.0000349787,0.0010594791,0.00035545538,0.007983291,0.00003833793,0.00009387797,0.000026709937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003808667,0.000057878704,0.875316,0.000029959689,0.00013056114,0.0000022675267,0.0075694206,0.0017632538,0.00028023854,0.11360615,0.00016006308,0.001046126],"study_design_scores_gemma":[0.00014285142,0.000033329234,0.94615936,0.000038703354,0.00003835316,0.000002511167,0.0029061437,0.039289914,0.00008087971,0.0035469802,0.0076572243,0.000103752725],"about_ca_topic_score_codex":0.00031351848,"about_ca_topic_score_gemma":0.00020738025,"teacher_disagreement_score":0.110059164,"about_ca_system_score_codex":0.00011867614,"about_ca_system_score_gemma":0.00009287486,"threshold_uncertainty_score":0.8253819},"labels":[],"label_agreement":null},{"id":"W4394372173","doi":"10.6084/m9.figshare.4509752","title":"Do Fish Drive Recreational Fishing License Sales?","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"License; Fishing; Fishery; Fish <Actinopterygii>; Business; Recreation; Recreational fishing; Computer science; Ecology; Biology; Operating system","score_opus":0.18608520525433392,"score_gpt":0.2657456067670717,"score_spread":0.07966040151273779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394372173","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007719,0.00055197993,3.733651e-7,0.00018446632,0.00028900834,0.00024855588,0.99357325,0.000020259593,0.0050548958],"genre_scores_gemma":[0.00022423598,0.00024333403,0.000034014385,0.00049750565,0.0005818248,0.0002027223,0.99656516,0.00003236106,0.0016188192],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853075,0.000013629952,0.00051269855,0.0006286497,0.00005156393,0.0002627197],"domain_scores_gemma":[0.99788606,0.00009130028,0.0010527476,0.00085180165,0.00001590796,0.00010217614],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015518909,0.00027189087,0.00044224595,0.00013819883,0.0002554131,0.00035473978,0.0006294007,0.00041927368,0.44137603],"category_scores_gemma":[0.0009213549,0.00036013126,0.00017978104,0.000030171357,0.000015999014,0.00042797555,0.00025742504,0.0003513731,0.11569309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025825116,0.000026277701,0.00037175888,0.000081277874,0.000043448046,0.0000057106313,0.00001808167,0.000019542702,2.8998969e-8,0.000027066271,0.99927723,0.00012701972],"study_design_scores_gemma":[0.00022961845,0.000020145446,0.027670337,0.00056013314,0.000009028968,0.0000041911067,0.000006582603,0.000047840025,8.4229004e-7,0.0004169754,0.9706435,0.00039076898],"about_ca_topic_score_codex":0.00010013851,"about_ca_topic_score_gemma":0.000104541934,"teacher_disagreement_score":0.32568294,"about_ca_system_score_codex":0.00029337985,"about_ca_system_score_gemma":0.000035612393,"threshold_uncertainty_score":0.9998851},"labels":[],"label_agreement":null},{"id":"W4394609814","doi":"10.1080/00036846.2024.2337780","title":"What can we learn from industry-level (aggregate) production functions?","year":2024,"lang":"en","type":"article","venue":"Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; London School of Economics and Political Science","keywords":"Aggregate (composite); Economics; Production (economics); Econometrics; Micro level; Microeconomics; Industrial organization; Economic impact analysis","score_opus":0.10284355294692986,"score_gpt":0.2096022873494354,"score_spread":0.10675873440250554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394609814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975629,0.0029477128,0.0007104386,0.004420673,0.004834236,0.00033731907,0.00031356735,0.00013780079,0.010669294],"genre_scores_gemma":[0.98179716,0.0045440174,0.0004039391,0.00039662744,0.0008551178,0.00011326868,0.0003292359,0.00007249375,0.011488142],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99813193,0.000007253109,0.0006554212,0.0008812021,0.000019226103,0.00030495666],"domain_scores_gemma":[0.9992073,0.000040942236,0.00020454342,0.00043429784,0.000004392872,0.0001084889],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00035506487,0.00024184487,0.00033724564,0.00019381872,0.00014412617,0.00044075956,0.000176859,0.0003316363,0.0020096141],"category_scores_gemma":[0.000010996515,0.0003183922,0.00011151822,0.000114857736,0.0000831884,0.00085047306,0.00007858754,0.0004324607,0.009385496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000981242,0.00036355137,0.07335066,0.00015322132,0.0012421369,0.0000051623874,0.006956611,0.046589125,0.00052225124,0.5714243,0.02890987,0.270385],"study_design_scores_gemma":[0.0012428093,0.00009000935,0.08405634,0.00013570729,0.000092553186,0.000019162522,0.0054412163,0.011957008,0.0029814916,0.39480317,0.4972558,0.0019247388],"about_ca_topic_score_codex":0.00025346543,"about_ca_topic_score_gemma":0.00016185263,"teacher_disagreement_score":0.46834594,"about_ca_system_score_codex":0.0006058852,"about_ca_system_score_gemma":0.000034674795,"threshold_uncertainty_score":0.9999268},"labels":[],"label_agreement":null},{"id":"W4394988294","doi":"10.1007/s40271-024-00694-7","title":"Evaluating the Preferences and Willingness-to-Pay for Oral Antidiabetic Drugs Among Patients with Type 2 Diabetes Mellitus in China: A Discrete Choice Experiment","year":2024,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Haisco Pharmaceutical Group; National Natural Science Foundation of China","keywords":"Medicine; Willingness to pay; Diabetes mellitus; Mixed logit; Type 2 Diabetes Mellitus; Logistic regression; Subgroup analysis; Internal medicine; Ordered logit; Meta-analysis; Statistics; Endocrinology; Mathematics","score_opus":0.0524527343977852,"score_gpt":0.2613952982748608,"score_spread":0.2089425638770756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394988294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963567,0.0020450274,0.000106180465,0.00012144488,0.00030670722,0.0008189592,0.00004838646,0.0000138223295,0.00018275721],"genre_scores_gemma":[0.9990207,0.00006121221,0.00046930634,0.000057339774,0.000026012493,0.00026465813,0.0000389489,0.000020784273,0.000041067666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989916,0.000021297301,0.00034004377,0.00037662196,0.00004951638,0.00022089598],"domain_scores_gemma":[0.9996017,0.000095706964,0.0001032079,0.0001424156,0.000008876592,0.000048048107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035866545,0.00013370631,0.00019707785,0.0000686524,0.000089729256,0.00009074082,0.000082876286,0.0000327175,0.00004898349],"category_scores_gemma":[0.00004569003,0.00009066806,0.000029021512,0.00011915913,0.000045968092,0.00018544584,0.000054058215,0.00007264825,0.000031264066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014349331,0.000043827047,0.9829052,0.00003839331,0.000027621672,4.736362e-8,0.0035583014,0.00123124,0.000008295918,0.00037208677,0.000018997642,0.011781608],"study_design_scores_gemma":[0.0003837818,0.00075987447,0.969428,0.00008457322,0.000011205035,2.1216303e-8,0.00014280158,0.026832227,0.00015684981,0.0015045141,0.0005194899,0.0001766501],"about_ca_topic_score_codex":0.00015058357,"about_ca_topic_score_gemma":0.000026107977,"teacher_disagreement_score":0.025600987,"about_ca_system_score_codex":0.00010675826,"about_ca_system_score_gemma":0.000008821444,"threshold_uncertainty_score":0.36973363},"labels":[],"label_agreement":null},{"id":"W4396234342","doi":"10.1139/cjfas-2023-0280","title":"Hybrid choice modeling offers an interdisciplinary perspective on angler preferences for the future","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; University of British Columbia","funders":"National Institute of Food and Agriculture; Great Lakes Fishery Commission","keywords":"Perspective (graphical); Fishery; Biology; Ecology; Computer science; Artificial intelligence","score_opus":0.09417394399979896,"score_gpt":0.2615927132909954,"score_spread":0.16741876929119648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396234342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786664,0.006934834,0.0021187204,0.008765814,0.000982293,0.000096589414,0.00002822342,0.0000025891163,0.0024045333],"genre_scores_gemma":[0.9989483,0.00018125493,0.00024678034,0.00020018942,0.00031128756,0.000004454341,0.0000010269557,0.0000051168845,0.00010158398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994281,0.000008212622,0.00023540446,0.00016352662,0.000028073171,0.00013666609],"domain_scores_gemma":[0.99962556,0.00010526442,0.00008938547,0.00005919591,0.000007931822,0.00011263637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058174774,0.00007073262,0.00012339903,0.00012736849,0.0003899184,0.0003170131,0.00018278674,0.000021397896,0.000116889496],"category_scores_gemma":[0.000041760264,0.000050028662,0.000052850242,0.00006297354,0.00021312258,0.00051214325,0.000010102547,0.000082474384,0.0000055740124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000815071,0.00008551701,0.26230937,0.00014023317,0.0005196893,0.000027404134,0.06408917,0.022030741,0.000014094552,0.4724385,0.015051,0.16321273],"study_design_scores_gemma":[0.0002565518,0.0011989599,0.03909049,0.00011653047,0.000031055293,0.000037323796,0.045248203,0.5820301,0.0000098562805,0.3211516,0.010558648,0.00027065817],"about_ca_topic_score_codex":0.0014165558,"about_ca_topic_score_gemma":0.0044206344,"teacher_disagreement_score":0.55999935,"about_ca_system_score_codex":0.00012357897,"about_ca_system_score_gemma":0.000118112286,"threshold_uncertainty_score":0.30569646},"labels":[],"label_agreement":null},{"id":"W4396668038","doi":"10.32920/25758315.v1","title":"The Time is Ripe: New Financial Tools for the City of Toronto’s Parkland Dedication Rate","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Toronto Public Health; Parks Canada","funders":"","keywords":"Cash; Finance; Business; Biodiversity; Geography","score_opus":0.11165455524059877,"score_gpt":0.24153940349890132,"score_spread":0.12988484825830254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396668038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5669105,0.10050935,0.06942541,0.049864057,0.010411762,0.007942437,0.0046648015,0.00017325649,0.19009843],"genre_scores_gemma":[0.92975396,0.010858973,0.0008767461,0.0010339081,0.0010004035,0.00038027935,0.0002119701,0.000049948743,0.055833798],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987208,0.000012289901,0.00067686883,0.0003909205,0.00002897898,0.00017012675],"domain_scores_gemma":[0.9986248,0.0003554463,0.00046463977,0.0005035589,0.000011497286,0.000040056704],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012555706,0.00016511066,0.00030011992,0.000017212304,0.00014369555,0.00017538524,0.00037573103,0.00019545357,0.001970448],"category_scores_gemma":[0.00018137004,0.00011889866,0.00023166876,0.000021705768,0.0000693317,0.00011917077,0.00031693527,0.0001749482,0.0004914146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014770898,0.00011313701,0.017961718,0.00027906708,0.0007415784,2.3293869e-7,0.0023754877,0.0009327499,0.0000404827,0.3713404,0.44553357,0.16053386],"study_design_scores_gemma":[0.0005467623,0.00006680826,0.20275947,0.000040466428,0.00009348719,5.5298204e-7,0.00006958027,0.029713951,0.00027269073,0.44159243,0.32445306,0.00039073665],"about_ca_topic_score_codex":0.0024245046,"about_ca_topic_score_gemma":0.000490472,"teacher_disagreement_score":0.36284348,"about_ca_system_score_codex":0.00025137482,"about_ca_system_score_gemma":0.00008941134,"threshold_uncertainty_score":0.9989419},"labels":[],"label_agreement":null},{"id":"W4396668755","doi":"10.32920/25758315","title":"The Time is Ripe: New Financial Tools for the City of Toronto’s Parkland Dedication Rate","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Toronto Public Health; Parks Canada","funders":"","keywords":"Cash; Finance; Business; Biodiversity; Biodiversity conservation; Geography","score_opus":0.11165455524059877,"score_gpt":0.24153940349890132,"score_spread":0.12988484825830254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396668755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5669105,0.10050935,0.06942541,0.049864057,0.010411762,0.007942437,0.0046648015,0.00017325649,0.19009843],"genre_scores_gemma":[0.92975396,0.010858973,0.0008767461,0.0010339081,0.0010004035,0.00038027935,0.0002119701,0.000049948743,0.055833798],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987208,0.000012289901,0.00067686883,0.0003909205,0.00002897898,0.00017012675],"domain_scores_gemma":[0.9986248,0.0003554463,0.00046463977,0.0005035589,0.000011497286,0.000040056704],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012555706,0.00016511066,0.00030011992,0.000017212304,0.00014369555,0.00017538524,0.00037573103,0.00019545357,0.001970448],"category_scores_gemma":[0.00018137004,0.00011889866,0.00023166876,0.000021705768,0.0000693317,0.00011917077,0.00031693527,0.0001749482,0.0004914146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014770898,0.00011313701,0.017961718,0.00027906708,0.0007415784,2.3293869e-7,0.0023754877,0.0009327499,0.0000404827,0.3713404,0.44553357,0.16053386],"study_design_scores_gemma":[0.0005467623,0.00006680826,0.20275947,0.000040466428,0.00009348719,5.5298204e-7,0.00006958027,0.029713951,0.00027269073,0.44159243,0.32445306,0.00039073665],"about_ca_topic_score_codex":0.0024245046,"about_ca_topic_score_gemma":0.000490472,"teacher_disagreement_score":0.36284348,"about_ca_system_score_codex":0.00025137482,"about_ca_system_score_gemma":0.00008941134,"threshold_uncertainty_score":0.9989419},"labels":[],"label_agreement":null},{"id":"W4396771870","doi":"10.1177/03611981241242355","title":"Fusing Repeated Cross-Sectional Revealed Preference Datasets based on Rational Inattention Theory: Accounting for Changing Modal Preferences","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Preference; Modal; Revealed preference; Econometrics; Computer science; Economics; Transport engineering; Operations research; Engineering; Microeconomics","score_opus":0.29833016142359997,"score_gpt":0.37656226508738283,"score_spread":0.07823210366378286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396771870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655925,0.00024353535,0.03001272,0.0008766069,0.00085175,0.0009870491,0.00109671,0.00003233814,0.00030675973],"genre_scores_gemma":[0.99672425,0.00015326796,0.0014425917,0.000054714055,0.00027051126,0.00016106233,0.0004917846,0.00004482626,0.0006570055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961133,0.00033884734,0.0015093362,0.0005927277,0.00079663115,0.00064914377],"domain_scores_gemma":[0.9973634,0.0011422742,0.000509334,0.00031208977,0.0005341691,0.0001387225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011403017,0.0002035486,0.00032587236,0.0014013168,0.0008390017,0.00045085748,0.0005636343,0.0001781246,0.0007449085],"category_scores_gemma":[0.0002905103,0.00018126045,0.00033505895,0.0010059379,0.0002990597,0.0011314455,0.000008372286,0.0010558742,0.0000701187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011060102,0.00018271878,0.90138984,0.00039991006,0.00014953749,0.000012731334,0.0007665508,0.018274289,0.000520457,0.07385476,0.0010502847,0.002292926],"study_design_scores_gemma":[0.0009792229,0.00032311567,0.93477327,0.00032055666,0.000016737737,3.3528787e-7,0.0002493812,0.017129248,0.00024088446,0.043682802,0.0021074198,0.0001770188],"about_ca_topic_score_codex":0.00055542984,"about_ca_topic_score_gemma":0.000801686,"teacher_disagreement_score":0.033383455,"about_ca_system_score_codex":0.00047652566,"about_ca_system_score_gemma":0.0002515775,"threshold_uncertainty_score":0.8156226},"labels":[],"label_agreement":null},{"id":"W4396870692","doi":"10.1017/aae.2024.13","title":"Grazing Management Plan Adoption and Objective Prioritization in U.S. Cow-Calf and Stocker Operations","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Prioritization; Grazing; Plan (archaeology); Cow-calf; Business; Agricultural science; Operations management; Geography; Process management; Animal science; Engineering; Environmental science; Biology; Agronomy; Archaeology","score_opus":0.027620667832137128,"score_gpt":0.1827601746497622,"score_spread":0.1551395068176251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396870692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99600226,0.0015565341,0.0002932633,0.00035791993,0.0001234809,0.00015757758,0.000015354422,0.000004922534,0.0014887106],"genre_scores_gemma":[0.9932947,0.005598656,0.00086365687,0.000044833916,0.00008298203,0.000007716558,0.000010265268,0.000006077146,0.00009107231],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993403,0.0000041224093,0.00037988927,0.0001762676,0.00001113134,0.0000882827],"domain_scores_gemma":[0.9997969,0.000015247029,0.000106940875,0.000029755616,0.0000043104446,0.00004680529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020879747,0.000093037284,0.00019148961,0.00011602345,0.00006306157,0.0001460372,0.000029864055,0.000051645686,0.000010464069],"category_scores_gemma":[0.0000018146538,0.00008118679,0.00002372685,0.00004489069,0.000030077303,0.00039162982,0.000032610278,0.00010156925,0.000009896051],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007171642,0.00012167133,0.14166355,0.00027204005,0.00031851028,0.0000028953286,0.0036597562,0.050119396,0.00055288215,0.7696444,0.0002895795,0.03328365],"study_design_scores_gemma":[0.00044323484,0.000040969335,0.99172467,0.00003497149,0.0000133396015,0.0000354165,0.0008471974,0.0012869942,0.000033551143,0.0051609324,0.00025365676,0.00012507208],"about_ca_topic_score_codex":0.000011935188,"about_ca_topic_score_gemma":0.00004367825,"teacher_disagreement_score":0.8500611,"about_ca_system_score_codex":0.000121424375,"about_ca_system_score_gemma":0.0000033684014,"threshold_uncertainty_score":0.33107013},"labels":[],"label_agreement":null},{"id":"W4396933785","doi":"10.2196/45840","title":"Pandemic Fatigue and Preferences for COVID-19 Public Health and Social Measures in China: Nationwide Discrete Choice Experiment","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Public health; 2019-20 coronavirus outbreak; China; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Psychology; Medicine; Virology; Geography; Outbreak; Nursing; Disease","score_opus":0.25978850513062207,"score_gpt":0.3536426478520422,"score_spread":0.09385414272142012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396933785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8949878,0.0338273,0.0045881397,0.06457635,0.00021838136,0.001060297,0.000275032,0.00007078047,0.00039591937],"genre_scores_gemma":[0.9909635,0.0052828966,0.00013617429,0.002840531,0.000099335564,0.0003661421,0.00017710018,0.000017451994,0.00011685299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981581,0.00011141369,0.0006425318,0.000569327,0.000053771557,0.00046487307],"domain_scores_gemma":[0.9989674,0.0001989749,0.0002219466,0.00010083689,0.000008167595,0.0005026738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027950117,0.00016443561,0.00041980954,0.00023023481,0.0003306674,0.00027638444,0.00008169131,0.000091623326,0.000026168833],"category_scores_gemma":[0.00026987022,0.00017260584,0.000033387612,0.00013588551,0.00010949847,0.00041982534,0.000050188064,0.0001376215,0.0000034713119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008363355,0.000029106057,0.947866,0.00044399293,0.000017643604,1.2551746e-7,0.0070174714,0.0000030395447,6.0167474e-7,0.019432193,0.00094535877,0.024236074],"study_design_scores_gemma":[0.000899754,0.00017117665,0.77649873,0.0000104984365,1.8833738e-7,0.0000035498115,0.001058636,0.0029595622,9.192283e-8,0.0037668978,0.21440329,0.00022759115],"about_ca_topic_score_codex":0.0008067655,"about_ca_topic_score_gemma":0.0012310675,"teacher_disagreement_score":0.21345793,"about_ca_system_score_codex":0.00040550815,"about_ca_system_score_gemma":0.00039905877,"threshold_uncertainty_score":0.7038662},"labels":[],"label_agreement":null},{"id":"W4398771362","doi":"10.1111/1911-3838.12365","title":"How Can Accountants Enhance (or Save) Natural and Cultural Capital Valuation? Engaging Academics: A Collaboration with <scp>CPA</scp> Canada and the Canadian Commission for <scp>UNESCO</scp>*","year":2024,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University; Carleton University","funders":"","keywords":"Valuation (finance); Commission; Business; Accounting; Political science; Finance","score_opus":0.02872492183739711,"score_gpt":0.2289125408867827,"score_spread":0.2001876190493856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398771362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98431504,0.009969402,0.00012715325,0.0034690888,0.00035536656,0.00063656387,0.00021245121,0.00002922216,0.000885705],"genre_scores_gemma":[0.99583215,0.00049418164,0.00029054467,0.00022885422,0.00024015961,0.00009521963,0.000049185823,0.000035180976,0.0027345347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998655,0.00003335808,0.0002904992,0.00056056684,0.000093561495,0.00036696994],"domain_scores_gemma":[0.99886113,0.00058082,0.0002272426,0.0001455406,0.000079821315,0.00010543201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008057443,0.00023813885,0.00029080838,0.0001412486,0.00080159534,0.0009966173,0.0001469054,0.00011389401,0.000005678196],"category_scores_gemma":[0.00084930914,0.00018480411,0.000036073197,0.00021374135,0.00021725342,0.0010198078,0.000044380446,0.00033439219,0.0000035874614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007219483,0.00005508398,0.5165785,0.00044476666,0.0009369943,0.00001773879,0.29141477,0.0007356595,0.0008643781,0.1715373,0.013326968,0.0040156436],"study_design_scores_gemma":[0.003254896,0.00014084784,0.44533896,0.0002611357,0.00015968028,0.000079649704,0.4259675,0.06032798,0.00071216706,0.009773061,0.053537425,0.0004466684],"about_ca_topic_score_codex":0.46256486,"about_ca_topic_score_gemma":0.91310704,"teacher_disagreement_score":0.45054218,"about_ca_system_score_codex":0.0011572379,"about_ca_system_score_gemma":0.00038576138,"threshold_uncertainty_score":0.9610403},"labels":[],"label_agreement":null},{"id":"W4399336806","doi":"10.1017/s1355770x24000159","title":"What determines respondents’ valuation uncertainty? Impact of subjective perceptions from the demand and supply sides","year":2024,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"National Natural Science Foundation of China","keywords":"Valuation (finance); Perception; Supply and demand; Economics; Contingent valuation; Environmental economics; Microeconomics; Natural resource economics; Business; Willingness to pay; Finance; Psychology","score_opus":0.05746023151574274,"score_gpt":0.23021710213349206,"score_spread":0.1727568706177493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399336806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99222374,0.0060815755,0.000741568,0.00024598947,0.00020920756,0.00025264057,0.00010273164,0.000011503626,0.00013107207],"genre_scores_gemma":[0.9843608,0.014267297,0.0007232791,0.00006142126,0.0000597521,0.000040122675,0.00013066968,0.000020249296,0.00033636703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883366,0.000024370767,0.00052737695,0.0004275166,0.00002639777,0.00016065197],"domain_scores_gemma":[0.99941784,0.00018957478,0.00015896221,0.00017087106,0.0000023180346,0.00006043777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005296528,0.00018330448,0.00025251677,0.00009553566,0.00014596527,0.00020301089,0.00009140745,0.00007852323,0.00070406863],"category_scores_gemma":[0.000011763517,0.00016398175,0.00007015534,0.000027419626,0.00014948683,0.00069584575,0.00010472443,0.00008035891,0.00020587062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027858026,0.000031985634,0.9759463,0.000011578768,0.00022178743,5.222693e-7,0.0061413627,0.002895368,0.000104963256,0.0019027698,0.000087255125,0.012628256],"study_design_scores_gemma":[0.0003270979,0.00005338272,0.9769428,0.000029546922,0.000017451628,0.0000029739563,0.0010292059,0.006845048,0.00009497895,0.012320709,0.0021282234,0.00020858101],"about_ca_topic_score_codex":0.00015893513,"about_ca_topic_score_gemma":0.00005417503,"teacher_disagreement_score":0.0124196755,"about_ca_system_score_codex":0.000355543,"about_ca_system_score_gemma":0.000028816436,"threshold_uncertainty_score":0.7709058},"labels":[],"label_agreement":null},{"id":"W4399358665","doi":"10.1101/2024.06.03.597228","title":"Evaluating Biodiversity Credit Metrics Using Metacommunity Modelling","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Metacommunity; Biodiversity; Environmental science; Ecology; Biology","score_opus":0.2138671184409626,"score_gpt":0.25814757543416633,"score_spread":0.04428045699320374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399358665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967898,0.0075729406,0.019910898,0.000119887,0.0024338919,0.0005370368,0.0012122422,0.0002364181,0.000078694466],"genre_scores_gemma":[0.9649404,0.00059967954,0.03383245,0.00012768897,0.00034972976,0.00004040141,0.0000020921395,0.00009756437,0.000009950704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968882,0.000104355015,0.0010803564,0.001228822,0.00015101791,0.000547221],"domain_scores_gemma":[0.9973977,0.00009078286,0.0008953901,0.0013096615,0.00009027476,0.00021616279],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030275246,0.000561654,0.00088878605,0.00080240157,0.00037799022,0.00040426053,0.00071313843,0.00060189905,0.0002922262],"category_scores_gemma":[0.00018101429,0.00076548435,0.00036381537,0.00056574034,0.00011867906,0.00029676026,0.0017379079,0.0013001767,0.0015589911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070733855,0.0009160837,0.29385737,0.0029074568,0.0033101402,0.00007391352,0.00032076082,0.63484895,0.029826753,0.03246629,0.0013860827,0.000015444666],"study_design_scores_gemma":[0.00066475756,0.00007241451,0.025540499,0.0002686625,0.00046729765,2.7936427e-8,0.000018296974,0.9619365,0.0068003954,0.0009606458,0.0014614469,0.0018090986],"about_ca_topic_score_codex":0.0008394405,"about_ca_topic_score_gemma":0.0000017078142,"teacher_disagreement_score":0.3270875,"about_ca_system_score_codex":0.0014608039,"about_ca_system_score_gemma":0.00016199145,"threshold_uncertainty_score":0.9994796},"labels":[],"label_agreement":null},{"id":"W4399671950","doi":"10.1111/fme.12719","title":"Willingness to pay for recreational fisheries in Europe","year":2024,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Fishing; Recreation; Recreational fishing; Fishery; Population; Agricultural economics; Gross domestic product; Economics; Purchasing power parity; Explanatory power; Geography; Purchasing power; Business; Socioeconomics; Economic growth; Ecology; Demography","score_opus":0.0664999784913926,"score_gpt":0.20951650743275604,"score_spread":0.14301652894136346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399671950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92122823,0.000617641,0.0059526116,0.010731246,0.0014579619,0.0008259146,0.000093929244,0.00006385285,0.05902862],"genre_scores_gemma":[0.9672382,0.00076640357,0.0027163224,0.0008905963,0.000110745554,0.00039939245,0.000107836604,0.000026056354,0.027744478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992131,0.0000064351393,0.0002757436,0.0003209948,0.00001108246,0.00017266425],"domain_scores_gemma":[0.9998019,0.0000436807,0.000035203117,0.00008426971,0.000004258919,0.00003069191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026344662,0.00008902951,0.00016563098,0.00011376444,0.00005849601,0.000082578015,0.00006907669,0.000044641714,0.00075073296],"category_scores_gemma":[0.000023088578,0.0000938275,0.000023579383,0.00012677889,0.00003225198,0.00021561534,0.00007167194,0.00004209974,0.0002497104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023426945,0.000023916225,0.8075775,0.00010760671,0.0000421714,0.0000040282252,0.00038981476,0.000106121915,9.571189e-7,0.16950606,0.01631364,0.005904755],"study_design_scores_gemma":[0.00015096436,0.00006224846,0.5708946,0.00000771503,0.000003701566,5.3585967e-7,0.00007073386,0.0010642855,0.0000016537858,0.015470309,0.41218033,0.00009294485],"about_ca_topic_score_codex":0.00002256218,"about_ca_topic_score_gemma":0.0001322203,"teacher_disagreement_score":0.3958667,"about_ca_system_score_codex":0.000067694586,"about_ca_system_score_gemma":0.0000035271362,"threshold_uncertainty_score":0.82199997},"labels":[],"label_agreement":null},{"id":"W4399678254","doi":"10.1080/14737167.2024.2369293","title":"Preferences of people with diabetes for diabetes care in Germany: a discrete choice experiment","year":2024,"lang":"en","type":"article","venue":"Expert Review of Pharmacoeconomics & Outcomes Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; Bundesministerium für Gesundheit; Ministry of Education; Ministry of Health, British Columbia; Bundesministerium für Bildung und Forschung","keywords":"Diabetes mellitus; Medicine; Health care; Gerontology; Psychology; Economics; Economic growth","score_opus":0.08269079251722773,"score_gpt":0.439098469279045,"score_spread":0.3564076767618173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399678254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7693772,0.22610007,0.000022777389,0.0012313187,0.00021377848,0.0012741718,0.0002853974,0.000012492314,0.0014828369],"genre_scores_gemma":[0.94761485,0.049880292,0.000687088,0.00034126826,0.000077065284,0.0011563223,0.0000753332,0.000046984467,0.00012081763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976989,0.000071318645,0.0011258301,0.00056362455,0.00008309486,0.0004572301],"domain_scores_gemma":[0.99866277,0.00059660414,0.00025539126,0.00035219506,0.00004219947,0.00009082346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016316696,0.00022568955,0.0009606143,0.00037343593,0.000054113396,0.000046775105,0.00041831133,0.000062756786,0.0006966911],"category_scores_gemma":[0.00008675734,0.00020467548,0.00023900245,0.00021039447,0.00013708322,0.00038130968,0.00013957682,0.00019262233,0.00014940192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039636598,0.00021921696,0.9561441,0.017727125,0.00046244284,5.4730094e-7,0.0059163747,0.00017479013,0.001510765,0.005184126,0.0035845002,0.009036409],"study_design_scores_gemma":[0.008120905,0.0024281584,0.47293514,0.01714064,0.0001429196,0.0000013457019,0.004896777,0.031188097,0.070422925,0.005550509,0.3841958,0.0029767947],"about_ca_topic_score_codex":0.00012783757,"about_ca_topic_score_gemma":0.000047812257,"teacher_disagreement_score":0.48320892,"about_ca_system_score_codex":0.00037929314,"about_ca_system_score_gemma":0.0000674155,"threshold_uncertainty_score":0.8346424},"labels":[],"label_agreement":null},{"id":"W4399706132","doi":"10.1007/s12080-024-00582-8","title":"Top-down and bottom-up coupling effects of subsidies on recipient ecosystems","year":2024,"lang":"en","type":"article","venue":"Theoretical Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Deutsche Forschungsgemeinschaft","keywords":"Subsidy; Ecosystem; Consumption (sociology); Trophic level; Trophic cascade; Ecosystem model; Biomass (ecology); Coupling (piping); Ecology; Environmental science; Natural resource economics; Economics; Biology; Food web; Engineering","score_opus":0.021853433067452573,"score_gpt":0.21111441599159572,"score_spread":0.18926098292414315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399706132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98818666,0.0015055329,0.00040811356,0.00039318428,0.0011673269,0.0001829264,0.00001984961,0.000025126825,0.008111278],"genre_scores_gemma":[0.99905837,0.00034981882,0.00005962709,0.00010987318,0.00006702768,0.00002782634,0.0000069827634,0.000015240386,0.00030522616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991293,0.000017030217,0.00036368467,0.00029469316,0.000017273233,0.00017801837],"domain_scores_gemma":[0.99923295,0.0005049591,0.00007056187,0.0001371269,0.0000034202935,0.000050983363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045012028,0.00010060677,0.0003087913,0.00010507775,0.000036720285,0.000019146302,0.0000683369,0.00011388145,0.0007064742],"category_scores_gemma":[0.0001125528,0.00010124878,0.00005438293,0.000044996552,0.00027426303,0.00004806441,0.000047404075,0.000120399316,0.0006416946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016393118,0.000029958654,0.022539793,0.00011520548,0.00003690939,0.000002782337,0.00019907932,0.00006641869,0.00010233148,0.9763844,0.00017342372,0.00033327655],"study_design_scores_gemma":[0.0010624977,0.0012000635,0.1115966,0.00015165238,0.00004551748,0.000016453527,0.00014939786,0.06329333,0.0052900063,0.8144585,0.0023153296,0.00042068295],"about_ca_topic_score_codex":0.000010523535,"about_ca_topic_score_gemma":0.0000044880644,"teacher_disagreement_score":0.16192596,"about_ca_system_score_codex":0.00009454445,"about_ca_system_score_gemma":0.0000064843,"threshold_uncertainty_score":0.82479},"labels":[],"label_agreement":null},{"id":"W4399915979","doi":"10.1016/j.socscimed.2024.117069","title":"Would plain packaging and health warning labels reduce smoking in the presence of informal markets? A choice experiment in Colombia","year":2024,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University Medical Centre; McMaster University; York University","funders":"Canadian Institutes of Health Research; Agencia Nacional de Investigación y Desarrollo; Ministério da Ciência, Tecnologia e Inovação; World Bank Group; Universidad del Rosario; International Development Research Centre; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Environmental health; Public health; Medicine; Business; Gerontology; Public economics; Economics; Nursing","score_opus":0.098394027674937,"score_gpt":0.3220419896134795,"score_spread":0.22364796193854253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399915979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98424876,0.002529202,0.000050213133,0.005719233,0.00019170501,0.00019688785,0.0000032519495,0.0000059606073,0.0070547657],"genre_scores_gemma":[0.9991857,0.00020409553,0.00001694323,0.0004477122,0.00007087447,0.000019859212,0.0000020146276,0.0000039071083,0.000048890237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989822,0.00002449137,0.00043020563,0.00023171755,0.00008724213,0.0002441447],"domain_scores_gemma":[0.9996469,0.00009660575,0.000141412,0.0000757265,0.000003385952,0.00003596403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050358647,0.00006835879,0.00019528811,0.00019380401,0.00013895564,0.000033652705,0.00017767344,0.00004379672,0.000061818166],"category_scores_gemma":[0.00015129542,0.00006020769,0.000014069474,0.0004850724,0.0004205072,0.00037503787,0.000050655082,0.00022089884,0.000002536284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006497888,0.000031874086,0.79906493,0.00006407919,0.0000049187925,0.0000019248819,0.15129441,0.00004008508,0.000279901,0.028322697,0.00050370407,0.020384965],"study_design_scores_gemma":[0.0003806736,0.00006053753,0.98528314,0.00014366287,0.0000011974068,0.0000014832576,0.0074871634,0.003286364,0.00004280205,0.0013254235,0.0019119347,0.00007560131],"about_ca_topic_score_codex":0.0016595083,"about_ca_topic_score_gemma":0.000077608835,"teacher_disagreement_score":0.18621822,"about_ca_system_score_codex":0.00027746547,"about_ca_system_score_gemma":0.000049598017,"threshold_uncertainty_score":0.25086913},"labels":[],"label_agreement":null},{"id":"W4400038024","doi":"10.31234/osf.io/e4uap","title":"Low priority items are held in visual working memory: Evidence from flexible allocation in a two-alternative forced choice (2AFC) paradigm","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Two-alternative forced choice; Computer science; Cognitive psychology; Psychology; Human–computer interaction","score_opus":0.15772313308369124,"score_gpt":0.3103614904496705,"score_spread":0.15263835736597925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400038024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98520243,0.0046028434,0.0029763675,0.0007448461,0.0015007776,0.00093575264,0.000078740355,0.000066208464,0.0038920161],"genre_scores_gemma":[0.9960992,0.0013508755,0.00046868765,0.00020087688,0.00040851085,0.0002853321,0.00015431936,0.00005293276,0.0009792688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996888,0.000060211536,0.0012466016,0.0013453393,0.00007890639,0.00038096824],"domain_scores_gemma":[0.99839884,0.00029479084,0.00072985695,0.00048587783,0.000007852646,0.00008275689],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011054461,0.00038795586,0.0007872624,0.00053157663,0.000044051154,0.00023565312,0.00041945025,0.00028900706,0.00047915804],"category_scores_gemma":[0.00016209538,0.000496164,0.00016051602,0.00024461752,0.00005279239,0.00036259604,0.0006999031,0.0008988182,0.0009832763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042632302,0.0001721866,0.9148587,0.0001854148,0.000096591255,0.000009401114,0.0022967428,0.07330316,0.00004608585,0.005951283,0.00007154717,0.0029662258],"study_design_scores_gemma":[0.00097312167,0.000035802135,0.56229085,0.0020055983,0.00001728338,6.350539e-7,0.00034437212,0.31593728,0.0008343074,0.11657647,0.00018171825,0.000802551],"about_ca_topic_score_codex":0.033941656,"about_ca_topic_score_gemma":0.012245863,"teacher_disagreement_score":0.35256785,"about_ca_system_score_codex":0.0018785591,"about_ca_system_score_gemma":0.0000619399,"threshold_uncertainty_score":0.9997946},"labels":[],"label_agreement":null},{"id":"W4400042736","doi":"10.1002/hsr2.2213","title":"Preferences of Iranian medical students for selecting the compulsory service plan packages: A discrete choice experiment","year":2024,"lang":"en","type":"article","venue":"Health Science Reports","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Salary; Disadvantaged; Preference; Residence; Duration (music); Service (business); Work (physics); Medical education; Incentive; Discrete choice; Welfare; Psychology; Business; Medicine; Marketing; Demographic economics; Economics; Economic growth; Engineering","score_opus":0.17176271992572395,"score_gpt":0.35614868719739934,"score_spread":0.1843859672716754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400042736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99177986,0.001799197,0.0012087754,0.0028977685,0.0007415895,0.0005361215,0.000012111276,0.000024321593,0.0010002665],"genre_scores_gemma":[0.99860287,0.00013082165,0.00035550204,0.00066580664,0.00008226399,0.0000708623,0.00000823375,0.0000089795685,0.000074687334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822414,0.000011572983,0.00079164933,0.00045908734,0.00021568722,0.00029789153],"domain_scores_gemma":[0.9990993,0.00010289355,0.00040811975,0.00023743394,0.00001420003,0.00013804143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048237327,0.000090862864,0.00022471859,0.00009531106,0.00029827797,0.00011482123,0.00034176395,0.000037186503,0.00011361199],"category_scores_gemma":[0.00010665337,0.00007324351,0.000045932567,0.00027277094,0.00014925112,0.00023163602,0.00010960635,0.00009758934,0.000020213898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057659045,0.00009522693,0.98325706,0.00040052086,0.00003241323,0.0000025944762,0.0077942833,0.0002743943,0.00006887827,0.004010128,0.0006036536,0.003455102],"study_design_scores_gemma":[0.00029078123,0.0002503893,0.9510302,0.00032401507,0.000006024673,0.00007640566,0.0020326828,0.025398804,0.0003811481,0.005966019,0.013977251,0.0002662729],"about_ca_topic_score_codex":0.00082705973,"about_ca_topic_score_gemma":0.00010686641,"teacher_disagreement_score":0.032226834,"about_ca_system_score_codex":0.00021990675,"about_ca_system_score_gemma":0.00023577512,"threshold_uncertainty_score":0.29867837},"labels":[],"label_agreement":null},{"id":"W4400132232","doi":"10.4236/acs.2024.143018","title":"Preserving the Ozone Layers: Battling Illegal Trade in Ozone-Depleting Substances","year":2024,"lang":"en","type":"article","venue":"Atmospheric and Climate Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ozone; Environmental science; Ozone layer; Geography; Meteorology","score_opus":0.06668470332126031,"score_gpt":0.2359131465235106,"score_spread":0.16922844320225028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400132232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95461017,0.023941452,0.0002994414,0.0016612,0.00035862217,0.00010995724,0.000007987961,0.00003577369,0.01897537],"genre_scores_gemma":[0.99408317,0.004480024,0.0010736606,0.000171188,0.00006392581,0.000016146096,0.0000013987305,0.000010256145,0.00010023826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886686,0.000018051205,0.00036308393,0.00040276343,0.000044823497,0.0003044058],"domain_scores_gemma":[0.9996433,0.00013007398,0.00009037365,0.000101953985,0.0000012096502,0.0000330417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014056801,0.00010669336,0.0001673918,0.000010985941,0.00030087243,0.0002763408,0.00020339928,0.0000398369,0.00031103392],"category_scores_gemma":[0.000026071231,0.00008581921,0.000042066542,0.0003036039,0.00023784119,0.0005588363,0.00007122313,0.000108110966,0.00009808905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038130377,0.0000210426,0.88106257,0.000056699962,0.000014267611,0.000003833618,0.0022601972,0.00346705,0.000028438524,0.1088765,0.0001451159,0.0040604523],"study_design_scores_gemma":[0.00030372842,0.00009957437,0.58070135,0.00013456654,0.000009803149,0.000011873887,0.008826397,0.3763843,0.00001741198,0.022145923,0.010957179,0.00040790913],"about_ca_topic_score_codex":0.00030670132,"about_ca_topic_score_gemma":0.0001292363,"teacher_disagreement_score":0.37291723,"about_ca_system_score_codex":0.000052727395,"about_ca_system_score_gemma":0.000009923847,"threshold_uncertainty_score":0.3499606},"labels":[],"label_agreement":null},{"id":"W4400462668","doi":"10.5558/tfc2024-019","title":"Estimating leakage rates for Ontario forest offset projects","year":2024,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"","keywords":"Leakage (economics); Offset (computer science); Environmental science; Climate change; Percentile; Natural resource economics; Economics; Econometrics; Statistics; Mathematics; Computer science; Geology","score_opus":0.0903808993339506,"score_gpt":0.2559857512810379,"score_spread":0.1656048519470873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400462668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98476934,0.0015052347,0.0075288634,0.0006697555,0.00060638785,0.00046485668,0.000069897804,0.0000609479,0.004324685],"genre_scores_gemma":[0.9941854,0.000011420372,0.001509603,0.000106524,0.00024821353,0.0001340877,0.00006567075,0.000028559765,0.0037105437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913186,0.0000054519573,0.00031157254,0.00028250396,0.000020958003,0.00024767022],"domain_scores_gemma":[0.9995663,0.00007792157,0.00008839627,0.00023169653,0.0000034440961,0.000032230186],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045081845,0.000114181894,0.00015028563,0.000040466468,0.0001717561,0.00012430594,0.00017346248,0.000056260164,0.00041442856],"category_scores_gemma":[0.000025070318,0.00009963718,0.00009980363,0.000059872902,0.00006448176,0.00026177155,0.00005101716,0.00012322035,0.0008501909],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003685832,0.00011102989,0.5072187,0.0003118899,0.00020271703,0.0000045366683,0.0045690467,0.03996668,0.00007706448,0.42233142,0.020625126,0.0045448854],"study_design_scores_gemma":[0.0006500196,0.00017142069,0.20378172,0.000063423984,0.000021369238,0.000012424997,0.00013312446,0.61203897,0.00024170779,0.14411886,0.038453765,0.00031319377],"about_ca_topic_score_codex":0.0026808174,"about_ca_topic_score_gemma":0.0043404982,"teacher_disagreement_score":0.57207227,"about_ca_system_score_codex":0.00048122526,"about_ca_system_score_gemma":0.000061613704,"threshold_uncertainty_score":0.99992776},"labels":[],"label_agreement":null},{"id":"W4400506010","doi":"10.1007/978-3-031-61273-2_2","title":"Iraq Burning","year":2024,"lang":"en","type":"book-chapter","venue":"Frontiers of globalization series.","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Bible College; University of Calgary; University of Alberta","funders":"","keywords":"Environmental science; Geography","score_opus":0.04411276795515729,"score_gpt":0.19169808938970773,"score_spread":0.14758532143455044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400506010","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008836399,0.02228324,0.009818995,0.00020076196,0.002212586,0.00019670771,0.00062502146,0.000053642456,0.9645207],"genre_scores_gemma":[0.009099228,0.004526069,0.0019959041,0.00012932421,0.0002179602,0.000008270832,0.0006483283,0.00009449873,0.9832804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861014,0.0000023937273,0.000775954,0.0004169786,0.000050530867,0.00014397674],"domain_scores_gemma":[0.99902624,0.0000036725285,0.00061687623,0.00028130345,0.000018237692,0.00005367966],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018529141,0.00023224465,0.0005156087,0.00020592326,0.00004497762,0.00004254697,0.00016715379,0.0002874558,0.0016683695],"category_scores_gemma":[0.000013901584,0.00030850925,0.00017962369,0.000042523825,0.00011495054,0.00025759623,0.00007722527,0.00011795081,0.0014481252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071205955,0.00000562486,0.0037483887,0.000051934916,0.00013428378,0.0000015116314,0.000088450666,0.00026624705,6.8939835e-7,0.91242427,0.08303434,0.00023713119],"study_design_scores_gemma":[0.00011464355,0.000033703673,0.00037634553,0.000042944528,0.000028605702,0.0000023691327,0.000032461427,0.00033467478,0.000008192896,0.2813775,0.71740717,0.00024135914],"about_ca_topic_score_codex":0.00001966202,"about_ca_topic_score_gemma":0.0000043074233,"teacher_disagreement_score":0.63437283,"about_ca_system_score_codex":0.00032737892,"about_ca_system_score_gemma":0.000016794407,"threshold_uncertainty_score":0.9999367},"labels":[],"label_agreement":null},{"id":"W4400874122","doi":"10.1016/j.jue.2024.103686","title":"JUE insight: Air pollution and student performance in the U.S.","year":2024,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pollution; Air pollution; Electricity; Unit (ring theory); Test (biology); Natural resource economics; Standard deviation; Environmental science; Particulate pollution; Particulates; Fell; Economics; Agricultural economics; Econometrics; Environmental protection; Geography; Statistics; Mathematics; Engineering; Chemistry; Cartography; Ecology","score_opus":0.0475721869911739,"score_gpt":0.207920483421916,"score_spread":0.16034829643074208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400874122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875556,0.005518652,0.00008838928,0.0018618176,0.00056396733,0.00008178984,0.000010249408,0.000003512325,0.0043160236],"genre_scores_gemma":[0.9945892,0.0044111786,0.000113812144,0.0004938586,0.00022143305,0.0000030421584,0.0000016601062,0.000011200877,0.00015460707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905217,0.000013057986,0.0006598962,0.00013977883,0.000017138549,0.00011795606],"domain_scores_gemma":[0.9995703,0.00003384197,0.00025192217,0.00010655511,0.0000037436917,0.000033635057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009819171,0.000089018984,0.00021148521,0.00021254309,0.0000421926,0.0000830094,0.00015854342,0.000052145104,0.00004869035],"category_scores_gemma":[0.000008829009,0.00007839214,0.00007044946,0.000060131915,0.000043711803,0.00057946856,0.000027834109,0.00018780901,0.00010513373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020208669,0.000104769075,0.8760272,0.00004489389,0.000087857225,0.000008739292,0.006019296,0.010183179,0.0000063897432,0.10137793,0.0015598541,0.0045596347],"study_design_scores_gemma":[0.0003708539,0.00013378912,0.9210583,0.000026559946,0.0000088848965,0.000068608206,0.00037889328,0.0063659097,0.000012907657,0.004212402,0.067247435,0.000115470684],"about_ca_topic_score_codex":0.000010317259,"about_ca_topic_score_gemma":0.000009420154,"teacher_disagreement_score":0.09716552,"about_ca_system_score_codex":0.000266188,"about_ca_system_score_gemma":0.000018850531,"threshold_uncertainty_score":0.31967387},"labels":[],"label_agreement":null},{"id":"W4400939571","doi":"10.1007/s40271-024-00705-7","title":"What Can Discrete-Choice Experiments Tell Us about Patient Preferences? An Introduction to Quantitative Analysis of Choice Data","year":2024,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Discrete choice; Computer science; Econometrics; Psychology; Mathematical economics; Economics","score_opus":0.16553919250413873,"score_gpt":0.3095900562733394,"score_spread":0.14405086376920068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400939571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419296,0.0018226815,0.0009048193,0.00025294718,0.0012438092,0.0003266468,0.0008405682,0.000020562986,0.00039503083],"genre_scores_gemma":[0.9973726,0.00023724517,0.00074792764,0.00012600416,0.00009050999,0.00005368254,0.0012680795,0.0000185513,0.000085372754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823356,0.00003541511,0.0006765499,0.0007893891,0.000074075215,0.00019100361],"domain_scores_gemma":[0.9988221,0.00006365539,0.00026994088,0.0007220394,0.000016560263,0.00010571456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022966762,0.0001563651,0.00034192792,0.00037966654,0.000059062626,0.00014274639,0.00025051332,0.000050880182,0.0006660252],"category_scores_gemma":[0.000087055436,0.00016853373,0.00007697119,0.00042517442,0.000041297295,0.0010816721,0.00017824258,0.00007868583,0.00016798006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006813287,0.00080776255,0.8719961,0.0000969891,0.0021261396,0.0000014258741,0.03389086,0.047925305,0.00052728195,0.012143673,0.0024104593,0.028005894],"study_design_scores_gemma":[0.0002729296,0.0012112615,0.83512557,0.00006147217,0.0002873332,3.9886893e-7,0.003706968,0.110999435,0.0014684084,0.0004724621,0.04579782,0.00059594685],"about_ca_topic_score_codex":0.0016897207,"about_ca_topic_score_gemma":0.0007237173,"teacher_disagreement_score":0.06307413,"about_ca_system_score_codex":0.00025041544,"about_ca_system_score_gemma":0.000012092672,"threshold_uncertainty_score":0.7292509},"labels":[],"label_agreement":null},{"id":"W4401044422","doi":"10.1002/agr.21968","title":"Chinese consumers' preferences for imported beef products","year":2024,"lang":"en","type":"article","venue":"Agribusiness","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Credence; Business; China; Willingness to pay; Respondent; Agricultural economics; Production (economics); Country of origin; Quality (philosophy); Marketing; Agricultural science; Product (mathematics); Beef industry; Food safety; Certification; Economics; Food science; Geography","score_opus":0.07760013924132535,"score_gpt":0.23994467817651638,"score_spread":0.16234453893519102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401044422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867298,0.0040140986,0.002584386,0.0012134941,0.0013844188,0.0004092054,0.00023688066,0.00008350151,0.0033442187],"genre_scores_gemma":[0.99719477,0.00018624854,0.0004461374,0.000087331886,0.00020087673,0.00010276437,0.00025152005,0.00002136912,0.001508971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990331,0.0000039843694,0.00035373852,0.00040725048,0.000018554767,0.00018334891],"domain_scores_gemma":[0.9996368,0.000048470672,0.00009261005,0.00017214226,0.000016040693,0.000033879336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030371742,0.00012913735,0.00021578775,0.00009525527,0.000065525885,0.00009150635,0.00011159336,0.00006509339,0.00038809658],"category_scores_gemma":[0.000075300675,0.00012180647,0.000059312046,0.00019691317,0.000046203888,0.00033954153,0.000030433293,0.00005632818,0.00074896327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028645954,0.0001527855,0.8997637,0.0005372953,0.00023257159,0.0000037563061,0.0005495789,0.00017564841,0.00048060282,0.078651816,0.0095861405,0.009837441],"study_design_scores_gemma":[0.00037431845,0.00003523891,0.9077272,0.000027407912,0.000015990974,0.000005578632,0.00003341951,0.0032872944,0.00017736849,0.037794657,0.050213642,0.00030791506],"about_ca_topic_score_codex":0.00009213242,"about_ca_topic_score_gemma":0.000015721793,"teacher_disagreement_score":0.04085716,"about_ca_system_score_codex":0.00006564326,"about_ca_system_score_gemma":0.000021007228,"threshold_uncertainty_score":0.9626657},"labels":[],"label_agreement":null},{"id":"W4401219181","doi":"10.2139/ssrn.4908556","title":"Pricing the Priceless: The Financial Cost of Biodiversity Conservation","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Biodiversity conservation; Biodiversity; Business; Finance; Economics; Ecology; Biology","score_opus":0.045182706232589125,"score_gpt":0.19942374640564142,"score_spread":0.1542410401730523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401219181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93496644,0.011144253,0.044691347,0.0061204084,0.00054151355,0.00023778873,0.000014548678,0.000013732698,0.0022699544],"genre_scores_gemma":[0.99334466,0.005940792,0.0000138857085,0.00025861096,0.000110216,0.0000039810234,0.000004147559,0.0000051244583,0.00031860181],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990807,0.000020816793,0.00029860073,0.00012236979,0.000033382334,0.00044411284],"domain_scores_gemma":[0.9995924,0.0000812883,0.00019540421,0.00010923186,0.0000067335445,0.000014907795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021034405,0.00006813937,0.000110106135,0.000056719335,0.0002311096,0.00005379074,0.00019993963,0.000040457347,0.00009986971],"category_scores_gemma":[0.00005258398,0.000048080845,0.0000913185,0.00012397415,0.00007324025,0.00018571471,0.00003099862,0.0005524849,0.00022149696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013185787,0.000028547076,0.082692124,0.000012048218,0.00011547225,5.703837e-7,0.00094024534,0.00063137163,0.000025879168,0.9021661,0.00083731953,0.012537113],"study_design_scores_gemma":[0.0006351788,0.00020115272,0.24687098,0.000028590632,0.000058992166,0.00010354382,0.0030056664,0.013655417,0.00012030838,0.65296954,0.08207097,0.0002796457],"about_ca_topic_score_codex":0.00017116788,"about_ca_topic_score_gemma":0.00021206346,"teacher_disagreement_score":0.24919656,"about_ca_system_score_codex":0.00058631,"about_ca_system_score_gemma":0.0001907762,"threshold_uncertainty_score":0.2846969},"labels":[],"label_agreement":null},{"id":"W4401344002","doi":"10.1111/2041-210x.14391","title":"Why shouldn't I collect more data? Reconciling disagreements between intuition and value of information analyses","year":2024,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Australian Research Council","keywords":"Intuition; Value of information; Computer science; Population; Risk analysis (engineering); Epistemology; Artificial intelligence","score_opus":0.25066471374526245,"score_gpt":0.39446429571145386,"score_spread":0.14379958196619141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401344002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72270626,0.0016751917,0.27438623,0.00022751489,0.00023207969,0.00014641,0.00012295751,0.000011367208,0.0004919575],"genre_scores_gemma":[0.96735907,0.0005388555,0.03174101,0.000099745645,0.000032922213,0.000014508593,0.00018986313,0.0000052840855,0.000018761993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898195,0.00009326659,0.00054553454,0.0002427428,0.000017622337,0.00011886446],"domain_scores_gemma":[0.9994558,0.00021416582,0.00015332796,0.00014549983,0.0000055623746,0.00002566024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020894466,0.00008327748,0.00026077303,0.00032119534,0.00006197179,0.000024368583,0.00007397313,0.00013229816,0.0000609924],"category_scores_gemma":[0.000202268,0.00009614628,0.00002201899,0.0001638444,0.00009828935,0.0008597864,0.00010098571,0.00010818962,0.000012757816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009125013,0.000013892084,0.97456187,0.0000864635,0.000057772817,1.8752054e-7,0.00047183206,0.00048623947,0.000062715,0.010277276,0.00019124235,0.013781374],"study_design_scores_gemma":[0.00023932857,0.000056439407,0.8573321,0.00002168395,0.000025702591,0.0000018764207,0.0002207269,0.08936421,0.000065898705,0.051671218,0.000909283,0.00009153331],"about_ca_topic_score_codex":0.0003574617,"about_ca_topic_score_gemma":0.00007999961,"teacher_disagreement_score":0.24465276,"about_ca_system_score_codex":0.00018707023,"about_ca_system_score_gemma":0.000012405925,"threshold_uncertainty_score":0.39207315},"labels":[],"label_agreement":null},{"id":"W4401501971","doi":"10.1093/ej/ueae077","title":"Healthcare Appointments as Commitment Devices","year":2024,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of Toronto; University of Minnesota","keywords":"Health care; Business; Control (management); Human immunodeficiency virus (HIV); On demand; Service (business); Developing country; Public economics; Economics; Marketing; Medicine; Economic growth; Family medicine; Management; Commerce","score_opus":0.10057943627358532,"score_gpt":0.26230226235068616,"score_spread":0.16172282607710084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401501971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92845017,0.014646771,0.00048352496,0.016359856,0.0034271888,0.00025274593,0.00007345958,0.00004812725,0.036258142],"genre_scores_gemma":[0.994323,0.0013013157,0.0001158251,0.0012426949,0.00060498854,0.000017424163,0.000009987346,0.000028082115,0.0023566743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987912,0.000029526853,0.00063429837,0.00025745673,0.000022985556,0.00026453237],"domain_scores_gemma":[0.99938315,0.00005383199,0.00022337532,0.000229074,0.0000028518205,0.00010770763],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011741142,0.0001414831,0.00022496596,0.0001098503,0.00027273537,0.0003134754,0.0002969399,0.00005499968,0.003915077],"category_scores_gemma":[0.000006529121,0.00012147712,0.00015413175,0.000032599128,0.000058017187,0.0003791743,0.000064941254,0.0002803961,0.023955932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026800937,0.000058712303,0.10527617,0.000058575493,0.00061254384,0.000023015791,0.002765569,0.0024034788,0.000008313236,0.83760536,0.032509536,0.01865192],"study_design_scores_gemma":[0.00080814544,0.0002527467,0.06895576,0.00008183028,0.00003384059,0.00058541744,0.001271832,0.0116554685,0.000061966086,0.4367244,0.4790554,0.000513197],"about_ca_topic_score_codex":0.00022996022,"about_ca_topic_score_gemma":0.000034304132,"teacher_disagreement_score":0.44654587,"about_ca_system_score_codex":0.0011246724,"about_ca_system_score_gemma":0.000059604517,"threshold_uncertainty_score":0.9969955},"labels":[],"label_agreement":null},{"id":"W4401527932","doi":"10.1139/cjfas-2023-0208","title":"Identifying stakeholder preferences for rebuilding a Canadian Atlantic redfish fishery—limitations and benefits of different opinion survey approaches","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Oceans Limited (Canada); Fisheries and Oceans Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Fishery; Stakeholder; Fish <Actinopterygii>; Geography; Environmental resource management; Biology; Environmental science; Economics","score_opus":0.49486298702513953,"score_gpt":0.2499206027732457,"score_spread":0.24494238425189382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401527932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99161905,0.0057783737,0.00042984568,0.0009548816,0.00045562722,0.00011579269,0.00009384707,0.0000016236735,0.0005509497],"genre_scores_gemma":[0.99834216,0.0007710356,0.0007362952,0.000032215143,0.000042070333,0.000004755301,0.000010711211,0.0000065069826,0.000054235552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991089,0.000019678302,0.00044801584,0.00018934085,0.000036765123,0.00019731064],"domain_scores_gemma":[0.99928945,0.00022643986,0.00019663948,0.000053551055,0.000010563434,0.00022332738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010430615,0.00008804807,0.000227626,0.0003382619,0.00023894465,0.00035216092,0.00012208446,0.00004365086,0.000036098758],"category_scores_gemma":[0.00022008561,0.00008255744,0.000039457125,0.00013729141,0.0002518053,0.00047367916,0.000007961224,0.00005981329,9.0957076e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016458835,0.0000031512786,0.9830768,0.000058853584,0.000032268726,4.819974e-7,0.0016766456,0.000059986305,0.0000011062568,0.008656047,0.0004907553,0.005942239],"study_design_scores_gemma":[0.00012982047,0.00015501092,0.9744995,0.00016460221,0.000013105312,0.000013095529,0.0016356502,0.0046750656,0.000007187696,0.017626438,0.0009483704,0.00013213292],"about_ca_topic_score_codex":0.10344323,"about_ca_topic_score_gemma":0.5371737,"teacher_disagreement_score":0.43373048,"about_ca_system_score_codex":0.00008080564,"about_ca_system_score_gemma":0.00020370453,"threshold_uncertainty_score":0.90252703},"labels":[],"label_agreement":null},{"id":"W4401576278","doi":"10.1073/pnas.2319077121","title":"The path to scientifically sound biodiversity valuation in the context of the Global Biodiversity Framework","year":2024,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Knobloch Family Foundation; Yale University","keywords":"Biodiversity; Valuation (finance); Environmental resource management; Aquatic biodiversity research; Framing (construction); Geography; Ecology; Economics; Accounting; Biology","score_opus":0.12732921046774923,"score_gpt":0.27199703983320234,"score_spread":0.1446678293654531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401576278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98216045,0.00026949425,0.000011629744,0.015182428,0.00012106692,0.000235657,0.0002249316,0.000002800187,0.0017915522],"genre_scores_gemma":[0.9992398,0.000037841055,0.00012121599,0.0005569321,0.00001668911,0.0000036319927,2.8010479e-7,5.9698584e-7,0.000023007276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990589,0.000010197305,0.00031719226,0.000220495,0.00028662893,0.00010659163],"domain_scores_gemma":[0.9994613,0.00016777049,0.0002965838,0.000020120488,0.000039286235,0.000014945538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003995911,0.000058826638,0.00009767907,0.00006850532,0.0003945854,0.00008012073,0.0010255709,0.000057145193,0.000018634724],"category_scores_gemma":[0.00047884168,0.000032387597,0.0000906265,0.00079900585,0.00083725573,0.00028290605,0.00019821529,0.0001193235,0.00003694539],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006629536,0.00002853768,0.60069406,0.000016220569,0.000011859614,1.9872604e-9,0.0012295097,0.00015010277,0.00018414587,0.39582276,0.0015770403,0.0002791188],"study_design_scores_gemma":[0.000056647623,0.000017085642,0.72579813,0.000027678825,0.0000055688865,5.2242024e-7,0.0010723481,0.00077194854,0.00063468126,0.2709876,0.0005861469,0.000041618536],"about_ca_topic_score_codex":0.00004792871,"about_ca_topic_score_gemma":0.0000016006353,"teacher_disagreement_score":0.12510408,"about_ca_system_score_codex":0.0001454605,"about_ca_system_score_gemma":0.000018492472,"threshold_uncertainty_score":0.30849037},"labels":[],"label_agreement":null},{"id":"W4401638898","doi":"10.1016/j.anbehav.2024.07.014","title":"Winner and loser effects: a meta-analysis","year":2024,"lang":"en","type":"article","venue":"Animal Behaviour","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Biology; Zoology","score_opus":0.14904830517613796,"score_gpt":0.2502938354093341,"score_spread":0.10124553023319613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401638898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821935,0.0134844165,0.0005443989,0.0005017634,0.00008332132,0.0001128031,0.00009009421,0.000039978077,0.0029497035],"genre_scores_gemma":[0.9968492,0.00009321794,0.00030167008,0.00019616833,0.0000334157,0.00003804391,0.00002173024,0.000017089314,0.0024494934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917465,0.000010245202,0.00027593042,0.00038046527,0.00002021993,0.00013845826],"domain_scores_gemma":[0.99970746,0.000035433342,0.00005298974,0.00014918332,0.0000024576061,0.000052498508],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029488324,0.00011680268,0.00042388664,0.00017929105,0.000043691805,0.000099820834,0.00006128345,0.000061789484,0.0022290584],"category_scores_gemma":[0.00000709767,0.00011507756,0.00040556683,0.00016464229,0.00003261525,0.00023106961,0.00004133201,0.00008133132,0.0012650188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054013494,0.00005887836,0.89812464,0.000031175594,0.022234788,0.000019463954,0.00028650876,0.000027391023,0.00009385215,0.07806422,0.00084982056,0.0002038682],"study_design_scores_gemma":[0.0001144763,0.00008725781,0.96972495,0.0000012221108,0.022996992,0.0000037906193,0.000025770065,0.0013914551,0.00010920872,0.003261104,0.0020589523,0.00022481577],"about_ca_topic_score_codex":0.00021230947,"about_ca_topic_score_gemma":0.00001789641,"teacher_disagreement_score":0.074803114,"about_ca_system_score_codex":0.00004632737,"about_ca_system_score_gemma":0.0000025555235,"threshold_uncertainty_score":0.9995126},"labels":[],"label_agreement":null},{"id":"W4402100011","doi":"10.1093/jrsssa/qnae080","title":"Mapping socio-economic status using mixed data: a hierarchical Bayesian approach","year":2024,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series A (Statistics in Society)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Fonds de recherche du Québec – Nature et technologies; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Econometrics; Bayesian probability; Statistics; Hierarchical database model; Multilevel model; Geography; Multivariate statistics; Index (typography); Small area estimation; Computer science; Mathematics; Data mining","score_opus":0.08501493187793888,"score_gpt":0.26066553635079026,"score_spread":0.17565060447285138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402100011","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035972945,0.0025517999,0.9537247,0.0006615911,0.001694442,0.00025292323,0.0043682083,0.000020642105,0.0007527705],"genre_scores_gemma":[0.46283808,0.0012015239,0.53407925,0.00033133777,0.0006490477,0.0000088945435,0.0001732278,0.00008632297,0.0006322833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971646,0.00008739118,0.0015050266,0.0005220553,0.00015404428,0.0005668709],"domain_scores_gemma":[0.99836767,0.00046140313,0.00055281725,0.00041435848,0.000020860463,0.0001828671],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017330876,0.00028101247,0.0006521363,0.00005110571,0.00027694926,0.00029253802,0.000654136,0.00021758831,0.00037032826],"category_scores_gemma":[0.00017160391,0.00025805846,0.00039119896,0.00019852523,0.000580594,0.0004565776,0.00042944791,0.00091013155,0.0000402374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007378028,0.00041572677,0.10656766,0.0008979306,0.0015845388,0.00003905091,0.010736223,0.044536866,0.000028509305,0.68366873,0.14545003,0.0060009346],"study_design_scores_gemma":[0.0006907781,0.00007210608,0.032623585,0.00008258087,0.000064840635,0.000034455174,0.0033691179,0.81954616,0.0000022020872,0.124385804,0.018726096,0.00040224512],"about_ca_topic_score_codex":0.0001634983,"about_ca_topic_score_gemma":0.000021477823,"teacher_disagreement_score":0.77500933,"about_ca_system_score_codex":0.0015750072,"about_ca_system_score_gemma":0.00023448744,"threshold_uncertainty_score":0.9999872},"labels":[],"label_agreement":null},{"id":"W4402127615","doi":"10.1016/j.oneear.2024.08.003","title":"Urgent climate action is needed to ensure effectiveness of protected areas for biodiversity benefits","year":2024,"lang":"en","type":"article","venue":"One Earth","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Horizon 2020 Framework Programme; National Academy of Sciences; Laboratoire d'Excellence TULIP; Ichimura Foundation of New Technology; H2020 European Research Council; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; European Research Council; National Science Foundation","keywords":"Biodiversity; Action (physics); Environmental resource management; Climate change; Environmental planning; Biodiversity conservation; Business; Environmental science; Ecology; Biology","score_opus":0.12329577155065895,"score_gpt":0.22911845333557163,"score_spread":0.10582268178491268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402127615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527043,0.00030459565,0.0020452866,0.00028784556,0.0002610779,0.000629523,0.0007907194,0.000026247277,0.00038424972],"genre_scores_gemma":[0.9991998,0.00010100233,0.00037950955,0.00007769976,0.000029084633,0.00005149067,0.00006262268,0.0000071608943,0.00009164215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999398,0.0000129302,0.00018836732,0.00025419542,0.00001853485,0.00012798657],"domain_scores_gemma":[0.9997096,0.000043474734,0.000069002366,0.00011495876,0.000009511662,0.0000534641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046157636,0.00007510862,0.00018203887,0.000111458496,0.00006483872,0.000024027557,0.000046885973,0.00005715104,0.0003295013],"category_scores_gemma":[0.00003070102,0.00009289127,0.000082526385,0.0000981566,0.000012286198,0.000119548175,0.000028969082,0.000048962473,0.00063176535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020200084,0.0013440269,0.7214772,0.0068376027,0.0015626743,0.0000036614754,0.0051941974,0.014751025,0.033673868,0.13688906,0.0055643027,0.07068237],"study_design_scores_gemma":[0.0007510998,0.00032847238,0.93582875,0.00013264886,0.000029269024,0.000001035009,0.000105293126,0.0030634678,0.047173467,0.00238709,0.009925788,0.00027363867],"about_ca_topic_score_codex":0.00016378463,"about_ca_topic_score_gemma":0.000008900426,"teacher_disagreement_score":0.21435153,"about_ca_system_score_codex":0.00006876071,"about_ca_system_score_gemma":0.000007189547,"threshold_uncertainty_score":0.8120276},"labels":[],"label_agreement":null},{"id":"W4402281302","doi":"10.21203/rs.3.rs-4818969/v1","title":"Economic evaluation of Mont-Bellevue Park in Sherbrooke using the individual travel cost method","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"Mitacs","keywords":"Economic evaluation; Economics; Microeconomics","score_opus":0.48393998744437733,"score_gpt":0.4247146066813331,"score_spread":0.05922538076304423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402281302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702552,0.00955942,0.0014918362,0.00058033754,0.0006734891,0.0027316944,0.0010798721,0.000012728347,0.013615427],"genre_scores_gemma":[0.99708766,0.0007409977,0.0010169229,0.000016965852,0.00021169794,0.000459194,0.00017097431,0.000060270002,0.00023529728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966794,0.00054782035,0.0011532322,0.0008695826,0.0002684406,0.00048151158],"domain_scores_gemma":[0.9984052,0.0003432084,0.00037257743,0.00075082766,0.000049644645,0.0000785334],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.020230228,0.00025096175,0.00060432573,0.00078032387,0.00012225473,0.00016613014,0.00061322184,0.00038623702,0.0011663246],"category_scores_gemma":[0.00019538483,0.0002582771,0.00023171121,0.00020706843,0.00016400506,0.00011645877,0.0011227945,0.0013406972,0.00050454837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059845297,0.00028461657,0.20787655,0.001307208,0.0005179725,0.0000046888294,0.007853517,0.69374955,0.000087270986,0.059070386,0.001268119,0.027920265],"study_design_scores_gemma":[0.0007076503,0.000053823176,0.24652338,0.0003736863,0.000045811237,0.0000023741168,0.001682348,0.5632783,0.00033850555,0.18624355,0.0004238425,0.00032667682],"about_ca_topic_score_codex":0.003998324,"about_ca_topic_score_gemma":0.00092315057,"teacher_disagreement_score":0.13047123,"about_ca_system_score_codex":0.0028418058,"about_ca_system_score_gemma":0.000359804,"threshold_uncertainty_score":0.99998695},"labels":[],"label_agreement":null},{"id":"W4402348259","doi":"10.31219/osf.io/c7fek","title":"Coordinating Old-Growth Conservation Across Scales of Space, Time, and Biodiversity: Lessons from the US Policy Debate.","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Biodiversity conservation; Space (punctuation); Spacetime; Environmental resource management; Geography; Ecology; Environmental science; Computer science; Biology; Physics","score_opus":0.07064745313156781,"score_gpt":0.24764247983950607,"score_spread":0.17699502670793826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402348259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736629,0.0014245387,0.00016615106,0.014083552,0.00020630268,0.00024325616,0.0037921763,0.00003134147,0.006389751],"genre_scores_gemma":[0.9952896,0.0009306704,0.0005967658,0.0008620092,0.000105324245,0.000011717489,0.00032427732,0.000017073236,0.0018625607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877125,0.000021446545,0.0004852194,0.00050734414,0.000032931537,0.00018180216],"domain_scores_gemma":[0.9990641,0.00014394803,0.00043484077,0.00029178205,0.000020743882,0.000044614044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005092123,0.00019621958,0.00040538056,0.00010076566,0.00014417472,0.00014660424,0.00021983276,0.00022020325,0.00024424985],"category_scores_gemma":[0.000112738475,0.00019038106,0.00011534508,0.000097545606,0.00021162993,0.00009728359,0.0011232207,0.0002567214,0.00063580065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000085955435,0.00003997175,0.91659963,0.00010356109,0.00024686137,0.0000010129837,0.0011072066,0.00033632017,0.000065747474,0.074991174,0.0056007192,0.0008992026],"study_design_scores_gemma":[0.00040291355,0.000023952547,0.85338414,0.00008785097,0.000039715214,0.0000015273434,0.0003621105,0.01428146,0.0003763207,0.12947795,0.001196442,0.000365645],"about_ca_topic_score_codex":0.030548729,"about_ca_topic_score_gemma":0.0005406946,"teacher_disagreement_score":0.06321551,"about_ca_system_score_codex":0.0001774534,"about_ca_system_score_gemma":0.000024648378,"threshold_uncertainty_score":0.9759069},"labels":[],"label_agreement":null},{"id":"W4402447284","doi":"10.1017/bca.2024.16","title":"Valuing a Reduction in the Risk of Chronic Kidney Disease: A Large-Scale Multi-Country Stated Preference Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission; U.S. Environmental Protection Agency","keywords":"Willingness to pay; Kidney disease; Valuation (finance); Contingent valuation; Medicine; Preference; Environmental health; Actuarial science; Economics; Finance; Internal medicine","score_opus":0.051535722289975286,"score_gpt":0.23542473462865035,"score_spread":0.18388901233867505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402447284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690895,0.0077088736,0.022058468,0.00015762699,0.00016446089,0.00014604023,0.0004533437,0.0000054344055,0.00021622218],"genre_scores_gemma":[0.9963367,0.002602406,0.00071659463,0.000026590542,0.000099957455,0.00001195226,0.000093842,0.000012257345,0.0000997276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984787,0.000049980554,0.00095450366,0.00024523714,0.00009161954,0.00017997157],"domain_scores_gemma":[0.99889964,0.000039247414,0.000713669,0.00023706698,0.000022990083,0.00008736336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019092072,0.00012234575,0.00041876844,0.00063583587,0.00006176177,0.00007521682,0.00022480806,0.000060234295,0.0001967869],"category_scores_gemma":[0.0000648711,0.00010273373,0.0003631027,0.0009034276,0.00003588746,0.00039575505,0.000026087284,0.000272207,0.000023843642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006901919,0.0007036822,0.70444334,0.0001362237,0.0018874516,0.000006469379,0.0036055343,0.28512785,0.00012000919,0.0017010736,0.0003582326,0.0018410892],"study_design_scores_gemma":[0.0005700827,0.000044272783,0.5277179,0.00005296164,0.00072583504,0.000005988045,0.0007159793,0.46794966,0.00001966401,0.0012558547,0.0008147113,0.000127123],"about_ca_topic_score_codex":0.00018331336,"about_ca_topic_score_gemma":0.00006017494,"teacher_disagreement_score":0.1828218,"about_ca_system_score_codex":0.00035676133,"about_ca_system_score_gemma":0.000048621405,"threshold_uncertainty_score":0.41893598},"labels":[],"label_agreement":null},{"id":"W4402518383","doi":"10.31223/x55t4r","title":"Private protected areas exhibit greater bias towards unproductive land compared to public protected areas","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural resource economics; Business; Agricultural economics; Economics","score_opus":0.17093885873101003,"score_gpt":0.24183205895017537,"score_spread":0.07089320021916534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402518383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9645429,0.00045298913,0.0024118158,0.005792043,0.0014532969,0.0050095394,0.00086098124,0.00043622198,0.019040179],"genre_scores_gemma":[0.9860018,0.000046660432,0.0032635059,0.00031301886,0.00052746106,0.0019730935,0.00064657145,0.00015018432,0.007077703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99563694,0.00007329645,0.0013668389,0.0021311746,0.000118303695,0.0006734697],"domain_scores_gemma":[0.9977704,0.000020463822,0.00060549093,0.0012238607,0.00006683504,0.000312913],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009649931,0.0007157905,0.0011446164,0.0007870348,0.00014044468,0.0005775703,0.0006117197,0.00050574937,0.0029109719],"category_scores_gemma":[0.00025244383,0.00074479,0.0003108456,0.00041242363,0.000106689455,0.00021588324,0.0017464535,0.0009348738,0.007119368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053876784,0.0012888996,0.8950622,0.0025363686,0.00377952,0.000069552196,0.007874016,0.009493223,0.0003546143,0.050878573,0.018914279,0.009210005],"study_design_scores_gemma":[0.0016930801,0.0002572504,0.81371796,0.00043272143,0.00010294097,0.000025978687,0.00018727597,0.009316532,0.002349868,0.1414202,0.027673095,0.0028231032],"about_ca_topic_score_codex":0.0014488306,"about_ca_topic_score_gemma":0.000101862875,"teacher_disagreement_score":0.09054162,"about_ca_system_score_codex":0.001117345,"about_ca_system_score_gemma":0.000110508896,"threshold_uncertainty_score":0.99950033},"labels":[],"label_agreement":null},{"id":"W4402678463","doi":"10.1201/9781003578932-14","title":"SEA of Parks Canada Management Plans","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Oceanography; Environmental resource management; Business; Environmental science; Geology","score_opus":0.05199081309775806,"score_gpt":0.16840288173179987,"score_spread":0.11641206863404181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402678463","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00050570944,0.001267351,0.000096939104,0.00017515449,0.0005170112,0.00015496167,0.0010173309,0.000011488771,0.996254],"genre_scores_gemma":[0.060086627,0.0009601226,0.00015398957,0.00017830131,0.000053858847,0.000007410109,0.00017925893,0.000037799735,0.93834263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99900395,6.4383244e-7,0.00052733737,0.00032277545,0.000030252666,0.0001150323],"domain_scores_gemma":[0.99949294,0.000010442281,0.00020699037,0.00024627437,0.0000022658867,0.00004109027],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00011270337,0.00016181858,0.0003238579,0.00010143381,0.000017397864,0.000011657579,0.00012673135,0.00010990322,0.008282786],"category_scores_gemma":[6.9773506e-7,0.00019224217,0.00009215895,0.0000090016165,0.0000269992,0.000032495962,0.00007707174,0.00010802325,0.0016498466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013736761,0.000003918618,0.0019281273,0.00009588657,0.00017964211,0.0000062593635,0.000010518826,0.00007713996,5.3105715e-8,0.971578,0.025702529,0.00041654854],"study_design_scores_gemma":[0.00011118092,0.000015208109,0.0029197067,0.000042766005,0.000027088057,0.0000011810263,0.000018486055,0.00027764603,0.0000037468449,0.15033871,0.8459924,0.00025187834],"about_ca_topic_score_codex":0.061031546,"about_ca_topic_score_gemma":0.10245166,"teacher_disagreement_score":0.8212393,"about_ca_system_score_codex":0.00036816066,"about_ca_system_score_gemma":0.000018575935,"threshold_uncertainty_score":0.9991275},"labels":[],"label_agreement":null},{"id":"W4402885163","doi":"10.1007/s40271-024-00712-8","title":"Correction: What Can Discrete‑Choice Experiments Tell Us about Patient Preferences? An Introduction to Quantitative Analysis of Choice Data","year":2024,"lang":"en","type":"erratum","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Econometrics; Data science; Information retrieval; Statistics; Mathematics","score_opus":0.12913856387810252,"score_gpt":0.2978411437126149,"score_spread":0.16870257983451237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402885163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8616319,0.013148323,0.0008025617,0.0005094488,0.10574802,0.0015182933,0.006657761,0.00007503891,0.009908658],"genre_scores_gemma":[0.92119145,0.004326755,0.0010669297,0.00057088275,0.002496557,0.00045254562,0.04490718,0.00019121269,0.024796475],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965381,0.0000701297,0.0013274096,0.0015895672,0.00015618291,0.00031861357],"domain_scores_gemma":[0.9971306,0.000071284914,0.0011266102,0.0014489267,0.000048152146,0.00017446412],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029913968,0.00040384554,0.0009211084,0.00083774177,0.00011149606,0.00023837527,0.00051939767,0.00025722024,0.0011601853],"category_scores_gemma":[0.00019433215,0.0004567607,0.00019131573,0.0006893457,0.00007465459,0.0009449136,0.000425536,0.00041036643,0.0003422629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000905675,0.0010115161,0.09584695,0.00022944293,0.0044290978,0.0000020492673,0.018512698,0.023062263,0.000020109514,0.0011244834,0.83828825,0.017382555],"study_design_scores_gemma":[0.00026564093,0.0016962765,0.17161393,0.00024234303,0.0009367855,9.2239816e-7,0.0036415942,0.06378203,0.00013076795,0.00018283231,0.75636816,0.0011387381],"about_ca_topic_score_codex":0.0039183456,"about_ca_topic_score_gemma":0.0028422787,"teacher_disagreement_score":0.10325146,"about_ca_system_score_codex":0.00074918807,"about_ca_system_score_gemma":0.00005011522,"threshold_uncertainty_score":0.9997884},"labels":[],"label_agreement":null},{"id":"W4402886357","doi":"10.21203/rs.3.rs-4887326/v1","title":"The Social Costs of Pesticides: A Meta-Analysis of the Revealed and Stated Preference Literature","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"U.S. Food and Drug Administration; Governo Brasil; European Commission","keywords":"Willingness to pay; Valuation (finance); Preference; Public economics; Per capita; Business; Contingent valuation; Actuarial science; Risk aversion (psychology); Cost–benefit analysis; Economics; Environmental health; Expected utility hypothesis; Microeconomics; Medicine","score_opus":0.35489205605133184,"score_gpt":0.37364229801154014,"score_spread":0.018750241960208303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402886357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94642866,0.042716246,0.000046444904,0.002061466,0.00011428222,0.0009614863,0.004295692,0.000008748773,0.0033669546],"genre_scores_gemma":[0.9959445,0.0022415123,0.000036670714,0.000011916807,0.00002527497,0.000119917226,0.000090390015,0.000015474865,0.0015143642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99825317,0.0002424561,0.0006923493,0.0004426725,0.0001496437,0.00021970931],"domain_scores_gemma":[0.99844855,0.00044680262,0.00042616203,0.00054243597,0.00009762648,0.00003841173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030263453,0.0001477172,0.0007963902,0.00032965257,0.00019468182,0.00014561324,0.00042919756,0.00019318998,0.00023739981],"category_scores_gemma":[0.00031367427,0.00009576267,0.00066182896,0.0006712745,0.0003441794,0.000038974045,0.0010417552,0.000783157,0.00002053138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019228486,0.0003715508,0.22474422,0.004311861,0.20780072,0.000005611583,0.026103681,0.006998601,0.000106517065,0.5210729,0.0053024157,0.002989635],"study_design_scores_gemma":[0.00027721006,0.0001044468,0.7641791,0.00020901802,0.014463798,6.757025e-7,0.0011871199,0.014691079,0.00008943289,0.20355919,0.000892299,0.00034662307],"about_ca_topic_score_codex":0.00045140352,"about_ca_topic_score_gemma":0.00019677413,"teacher_disagreement_score":0.5394349,"about_ca_system_score_codex":0.0001954489,"about_ca_system_score_gemma":0.000058721114,"threshold_uncertainty_score":0.39050883},"labels":[],"label_agreement":null},{"id":"W4402995470","doi":"10.3390/f15101728","title":"Evaluating Multi-Criteria Decision-Making Methods for Sustainable Management of Forest Ecosystems: A Systematic Review","year":2024,"lang":"en","type":"review","venue":"Forests","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Centre National pour la Recherche Scientifique et Technique","keywords":"Multiple-criteria decision analysis; Analytic hierarchy process; Sustainable forest management; Computer science; Thematic map; TOPSIS; Ranking (information retrieval); Scopus; Sustainable management; Context (archaeology); Forest management; Decision support system; Management science; Environmental resource management; Sustainability; Geography; Operations research; Data mining; Engineering; Artificial intelligence; Forestry; Environmental science; Ecology; Cartography","score_opus":0.25479734895865697,"score_gpt":0.4530343848701812,"score_spread":0.19823703591152425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402995470","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008772322,0.92873645,0.06190577,0.0000048314578,0.0004857201,0.008192454,0.00016156933,0.000031307307,0.00047313955],"genre_scores_gemma":[0.00008352145,0.91873944,0.07524859,0.000020129846,0.000056475437,0.0039068647,0.00014553827,0.00012751656,0.0016719006],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99515325,0.0001520962,0.0033727728,0.00081305305,0.00006625602,0.00044258253],"domain_scores_gemma":[0.9963455,0.00052719895,0.0021800012,0.0008419977,0.000041104588,0.0000641991],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0069718347,0.00049394794,0.003891646,0.00040732374,0.00009883545,0.000110445064,0.0005425049,0.0002215322,0.0001519956],"category_scores_gemma":[0.0006190328,0.00045186444,0.0010893224,0.0003134432,0.000029305702,0.0002115919,0.00031687468,0.00015427856,0.000550879],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017900045,0.000034163706,0.00001980723,0.9314895,0.0005498337,0.000004420587,0.000028223212,0.000024871739,2.155966e-9,0.021248419,0.00045370203,0.04614522],"study_design_scores_gemma":[0.0002701795,0.000089692476,0.000018990371,0.86488986,0.0036267745,0.000017826458,0.00006078625,0.013577676,2.8189575e-8,0.016519776,0.10039799,0.00053040555],"about_ca_topic_score_codex":0.000015481484,"about_ca_topic_score_gemma":0.000025111454,"teacher_disagreement_score":0.099944286,"about_ca_system_score_codex":0.0007828942,"about_ca_system_score_gemma":0.00004236725,"threshold_uncertainty_score":0.9997933},"labels":[],"label_agreement":null},{"id":"W4403065824","doi":"10.1101/2024.09.30.24314681","title":"Female Sex Worker Preferences for HIV Pre-Exposure Prophylaxis Delivery in Uganda: A Discrete Choice Experiment","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pre-exposure prophylaxis; Human immunodeficiency virus (HIV); Sex workers; Discrete choice; Medicine; Preference; Environmental health; Men who have sex with men; Family medicine; Economics; Econometrics; Population; Microeconomics; Research methodology","score_opus":0.08082821608027195,"score_gpt":0.25588102172189775,"score_spread":0.17505280564162579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403065824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834149,0.010033689,0.00049340667,0.00019754104,0.0010089783,0.0012981925,0.00045697697,0.000048872687,0.0030474602],"genre_scores_gemma":[0.9919159,0.00052604405,0.0008509501,0.00005221502,0.00029014843,0.0014287712,0.00018023346,0.00006530458,0.0046904692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748665,0.000030479083,0.0009384314,0.0011234519,0.000056729194,0.00036427056],"domain_scores_gemma":[0.9989222,0.00008412037,0.0003633274,0.000537993,0.0000093007475,0.00008302321],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007162352,0.00036486133,0.0006458247,0.00024925132,0.00006262403,0.0001484178,0.00037851764,0.00036215916,0.0004138943],"category_scores_gemma":[0.000056651308,0.00039094395,0.00024183013,0.0000910402,0.00007027783,0.00012057859,0.00058145524,0.0004874364,0.00047332654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033026343,0.00010388931,0.9917723,0.00034775145,0.0001159619,0.0000019497918,0.002830855,0.0022905346,0.000029518904,0.0007921264,0.00022886333,0.0014532579],"study_design_scores_gemma":[0.00117608,0.0003162986,0.9458003,0.0004112393,0.000040889016,0.0000011872311,0.0006136219,0.008804854,0.00084942573,0.030522553,0.010365756,0.0010977875],"about_ca_topic_score_codex":0.00025188326,"about_ca_topic_score_gemma":0.00011598056,"teacher_disagreement_score":0.045971956,"about_ca_system_score_codex":0.00040652655,"about_ca_system_score_gemma":0.000044625875,"threshold_uncertainty_score":0.99985427},"labels":[],"label_agreement":null},{"id":"W4403100095","doi":"10.1007/s11050-024-09223-6","title":"An experimental investigation of implicature and homogeneity approaches to free choice","year":2024,"lang":"en","type":"article","venue":"Natural Language Semantics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council; Connaught Fund; University of Western Sydney; Leverhulme Trust","keywords":"Implicature; Philosophy of language; Linguistics; Syntax; Computer science; Philosophy; Epistemology; Pragmatics; Metaphysics","score_opus":0.10542860585512574,"score_gpt":0.25015540748436843,"score_spread":0.14472680162924267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403100095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98285717,0.015692538,0.00018475218,0.00046334666,0.0001758727,0.00015025282,0.0001091386,0.00003060936,0.0003363403],"genre_scores_gemma":[0.9969917,0.000023445382,0.0025204674,0.00014688387,0.000103695944,0.000008080435,0.000067311776,0.000015263857,0.00012313243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993757,0.000008385307,0.00021286242,0.00027172317,0.000025791707,0.00010552861],"domain_scores_gemma":[0.9996238,0.000023694303,0.000056226396,0.00023148638,0.000002534223,0.000062296494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016231493,0.00009266862,0.00014834038,0.00008863698,0.000033357748,0.00004647489,0.00012207427,0.00007489143,0.00004299903],"category_scores_gemma":[0.00002375766,0.000097346376,0.000035232562,0.000087109634,0.000043551165,0.00022349213,0.00005987799,0.00010445294,0.000035365025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029595703,0.0001774006,0.53142613,0.00047889547,0.00018752422,0.000010189354,0.030579846,0.00032089322,0.1789088,0.24366176,0.0018360898,0.012382868],"study_design_scores_gemma":[0.0005691783,0.00024553697,0.8380798,0.00006016189,0.000028849368,0.000018901712,0.0021094258,0.031249406,0.11947404,0.006497826,0.001050515,0.00061636855],"about_ca_topic_score_codex":0.00012155388,"about_ca_topic_score_gemma":0.000032379223,"teacher_disagreement_score":0.30665365,"about_ca_system_score_codex":0.000058368638,"about_ca_system_score_gemma":0.000004387491,"threshold_uncertainty_score":0.396967},"labels":[],"label_agreement":null},{"id":"W4403799861","doi":"10.1002/mar.22150","title":"Choice, Psychological Ownership, and Option Valuation","year":2024,"lang":"en","type":"article","venue":"Psychology and Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Valuation (finance); Actuarial science; Economics; Business; Psychology; Accounting","score_opus":0.14724764692003597,"score_gpt":0.3064362542892212,"score_spread":0.15918860736918525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403799861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95441,0.008013836,0.004317,0.0017846999,0.00053123507,0.0001082754,0.000007645666,0.00004973845,0.030777559],"genre_scores_gemma":[0.9957091,0.0022503976,0.0007694257,0.00051916303,0.000121166,0.000019539142,0.000013099138,0.000010185712,0.0005878743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991291,0.00004841046,0.00025327396,0.00042050797,0.000012835676,0.00013583645],"domain_scores_gemma":[0.99965715,0.0001435449,0.00006248014,0.000093477465,0.0000022956233,0.00004102002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016851209,0.00008457052,0.00012623219,0.00009838504,0.000081831764,0.000051676994,0.00003855581,0.00011884743,0.00031044916],"category_scores_gemma":[0.00010601643,0.00008843954,0.000026373136,0.00005465606,0.00007945087,0.00016878685,0.000024957693,0.00012558432,0.00023815272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059208043,0.00007075027,0.6176714,0.0000857999,0.00006223826,0.0000038803823,0.0003697424,0.000011082818,0.00035917133,0.16248879,0.001458603,0.2173594],"study_design_scores_gemma":[0.0002631986,0.000045195055,0.9122628,0.000016680946,0.0000065526633,0.000023335491,0.000023751829,0.002987057,0.0000020047435,0.067533106,0.016720604,0.000115723116],"about_ca_topic_score_codex":0.000005678115,"about_ca_topic_score_gemma":0.0000017913087,"teacher_disagreement_score":0.29459146,"about_ca_system_score_codex":0.000018822455,"about_ca_system_score_gemma":0.0000010204652,"threshold_uncertainty_score":0.36064598},"labels":[],"label_agreement":null},{"id":"W4403947665","doi":"10.3390/land13111795","title":"Land Stewardship and Development Behaviors Under an Ecological-Impact-Weighted Land Value Tax Scheme: A Proof-of-Concept Agent-Based Model","year":2024,"lang":"en","type":"article","venue":"Land","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Stewardship (theology); Environmental resource management; Scheme (mathematics); Value (mathematics); Land development; Land management; Land use; Geography; Business; Ecology; Computer science; Environmental science; Mathematics; Political science; Biology","score_opus":0.10140161259054217,"score_gpt":0.2610371219927122,"score_spread":0.15963550940217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403947665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99128157,0.0010055674,0.00671487,0.00010825578,0.00009891588,0.00026345556,0.00019088932,0.00003182009,0.0003046735],"genre_scores_gemma":[0.9962215,0.0000170954,0.003069806,0.000109439476,0.00003239693,0.000038789687,0.00016593588,0.000023299499,0.00032174916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891555,0.000018018594,0.00040916243,0.00039335887,0.000041748226,0.00022216092],"domain_scores_gemma":[0.99955887,0.000034588702,0.00011910509,0.00016693978,0.0000063584953,0.00011411683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034238386,0.00016808334,0.00029303215,0.00011430801,0.000077080935,0.00007390662,0.000094564384,0.00013399567,0.000358618],"category_scores_gemma":[0.000007938955,0.00015256372,0.000054940603,0.00006901258,0.00006594219,0.0001962555,0.000040842355,0.0001107126,0.000053197626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012796492,0.00019075905,0.9788606,0.00004349894,0.000054936878,0.0000031535033,0.00044662558,0.018136436,0.000020185546,0.00096351234,0.000045287965,0.001222195],"study_design_scores_gemma":[0.0010791541,0.00019693834,0.756,0.00003115256,0.000020921636,0.0000031950997,0.00003831703,0.23776032,0.00064499414,0.0032164492,0.0006690817,0.00033949874],"about_ca_topic_score_codex":0.00033205177,"about_ca_topic_score_gemma":0.0003707309,"teacher_disagreement_score":0.22286063,"about_ca_system_score_codex":0.0001894707,"about_ca_system_score_gemma":0.0000635548,"threshold_uncertainty_score":0.62213683},"labels":[],"label_agreement":null},{"id":"W4404027036","doi":"10.1007/s00267-024-02082-1","title":"Willingness to Pay for Improved Groundwater due to BMPs in PEI","year":2024,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; St. Francis Xavier University","funders":"","keywords":"Nature Conservation; Willingness to pay; Groundwater; Forest management; Business; Environmental science; Water resource management; Natural resource economics; Economics; Agroforestry; Geology; Ecology; Microeconomics; Geotechnical engineering; Biology","score_opus":0.03501222622792044,"score_gpt":0.20020083079675074,"score_spread":0.1651886045688303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404027036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91144854,0.00044780236,0.07549696,0.0035816198,0.0011660208,0.0023406362,0.00018607418,0.000057347992,0.005274977],"genre_scores_gemma":[0.9845722,0.000088747525,0.0040940824,0.0011490396,0.00009663123,0.00065298256,0.00007513969,0.00004753349,0.009223681],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99854976,0.000006649663,0.00045110082,0.0006366761,0.00003027471,0.00032555414],"domain_scores_gemma":[0.9995939,0.00001731104,0.000040913783,0.00025009236,3.6816894e-7,0.000097376054],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000401826,0.00017717283,0.0002294423,0.0002051301,0.000054944365,0.000090536785,0.00017332895,0.000047378962,0.0007626657],"category_scores_gemma":[0.0000028488944,0.00018561704,0.00008708446,0.00009122584,0.000016264528,0.00020234821,0.00018444483,0.000067305315,0.0044542877],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043884045,0.0026532789,0.3358721,0.001144874,0.0010099849,0.00016695572,0.009531688,0.027035609,0.0038556596,0.24047899,0.023762235,0.35404977],"study_design_scores_gemma":[0.0008323133,0.00028538267,0.53532016,0.000048431844,0.00001771592,0.0000027114033,0.0004135504,0.007486441,0.00032659897,0.012898961,0.44174156,0.00062614365],"about_ca_topic_score_codex":0.000048881917,"about_ca_topic_score_gemma":0.000019812724,"teacher_disagreement_score":0.41797933,"about_ca_system_score_codex":0.00069095875,"about_ca_system_score_gemma":0.0000012460338,"threshold_uncertainty_score":0.99632084},"labels":[],"label_agreement":null},{"id":"W4404078321","doi":"10.1002/pan3.10700","title":"Protected areas shape the distribution of tourism across rural Europe","year":2024,"lang":"en","type":"article","venue":"People and Nature","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; Geography; Biodiversity; Distribution (mathematics); Geospatial analysis; Environmental resource management; Environmental planning; Protected area; Environmental protection; Natural resource economics; Ecology; Cartography; Economics","score_opus":0.019344180405751078,"score_gpt":0.21426760755636615,"score_spread":0.19492342715061506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404078321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885011,0.008708792,0.00016909314,0.0012771424,0.000212545,0.00014327599,0.00032802872,0.000018283488,0.00064179016],"genre_scores_gemma":[0.99847263,0.00070998556,0.000013100196,0.00007499174,0.00008505825,0.000013185824,0.0001196214,0.000008271765,0.0005031656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995397,0.0000075894536,0.0001813351,0.00014733286,0.000017679195,0.000106403284],"domain_scores_gemma":[0.9997807,0.00002710422,0.000059457474,0.000105860265,0.0000062604654,0.00002061073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021854049,0.00006792418,0.00011658271,0.000017007727,0.00007657781,0.000046673005,0.00006965242,0.00010075275,0.00014005808],"category_scores_gemma":[0.000033449975,0.000054338525,0.00004077269,0.00012906347,0.000035884,0.0001167884,0.000044305834,0.0002087808,0.00008581278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000797571,0.00016208364,0.64677465,0.00037520198,0.00031166634,0.000008407498,0.0065617324,0.00012788118,0.00062204606,0.2824373,0.019010471,0.043528777],"study_design_scores_gemma":[0.00014130282,0.000029400358,0.96657425,0.000015971053,0.0000064628575,0.000006498008,0.0001357811,0.005066213,0.00016507489,0.0042177495,0.023546983,0.000094325085],"about_ca_topic_score_codex":0.00006753129,"about_ca_topic_score_gemma":0.000016312171,"teacher_disagreement_score":0.31979957,"about_ca_system_score_codex":0.000024688135,"about_ca_system_score_gemma":0.0000044109593,"threshold_uncertainty_score":0.22158606},"labels":[],"label_agreement":null},{"id":"W4404538971","doi":"10.1016/j.jcjd.2024.09.031","title":"A Discrete Choice Experiment Quantifying Preferences for Basal Insulin Treatments in Canadian Patients With Type 2 Diabetes","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Basal insulin; Basal (medicine); Type 2 diabetes; Insulin; Internal medicine; Diabetes mellitus; Endocrinology","score_opus":0.0750774419297245,"score_gpt":0.23486510305294533,"score_spread":0.15978766112322085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404538971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916423,0.0065782135,0.0000049347573,0.00020305817,0.00054220797,0.00022272556,0.00027081353,0.0000029812668,0.00053275755],"genre_scores_gemma":[0.99942356,0.000024184357,0.00020741671,0.00011743348,0.00007288889,0.000022809489,0.00004937087,0.000025131472,0.000057176203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988706,0.00001228748,0.00043932075,0.00020550542,0.000028771954,0.00044352413],"domain_scores_gemma":[0.99924415,0.000067096276,0.00014979191,0.000094369265,0.000021492933,0.00042310907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028074448,0.00013888362,0.00027808818,0.00053086336,0.000080025784,0.00013107811,0.000140873,0.00006402672,0.00023673955],"category_scores_gemma":[0.00007360398,0.00013196004,0.00006333326,0.0001459289,0.000044518227,0.00038017868,0.0000051761012,0.000100125864,0.000048442267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015862038,0.000012921642,0.99768174,0.00002232789,0.00009460351,8.89708e-7,0.00035255105,0.0001279759,0.000003982046,0.00058748893,0.00020692701,0.0009070369],"study_design_scores_gemma":[0.00064498355,0.00036771063,0.9918796,0.00014532093,0.000017406352,6.524111e-8,0.00007473753,0.0009275546,0.00008184457,0.0014490986,0.004227028,0.0001846513],"about_ca_topic_score_codex":0.043523714,"about_ca_topic_score_gemma":0.35341674,"teacher_disagreement_score":0.309893,"about_ca_system_score_codex":0.00086058327,"about_ca_system_score_gemma":0.0003694602,"threshold_uncertainty_score":0.96284556},"labels":[],"label_agreement":null},{"id":"W4404774059","doi":"10.5539/jsd.v17n6p158","title":"Application of the Contingent Valuation Method to Abidjan’s Banco National Park","year":2024,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; National park; Valuation (finance); Economics; Natural resource economics; Geography; Business; Economy; Actuarial science; Environmental protection; Willingness to pay; Microeconomics; Finance; Archaeology","score_opus":0.05182860457503763,"score_gpt":0.2545167590147052,"score_spread":0.2026881544396676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404774059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.500736,0.001502839,0.4887428,0.0029276328,0.0005680517,0.0006054633,0.000010040242,0.000009599435,0.004897561],"genre_scores_gemma":[0.9808872,0.00002148983,0.016970268,0.0001759657,0.00008346246,0.000031139964,0.000003484245,0.000010928963,0.0018160894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99874556,0.000023648183,0.0008284999,0.00014445785,0.00012085495,0.00013698831],"domain_scores_gemma":[0.9992398,0.00005257089,0.0004531162,0.00008563983,0.00012456505,0.000044333323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003126136,0.00007824088,0.00018711246,0.00022876597,0.000074310476,0.000041230418,0.00016463497,0.000041407206,0.000097443946],"category_scores_gemma":[0.000110514506,0.000068634086,0.000085534855,0.00022743338,0.000014285732,0.0002202519,0.00006161956,0.00009125864,0.00008210289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060604078,0.00026670023,0.14541312,0.00040524828,0.0004625143,0.0000075006424,0.010459537,0.039995257,0.0010134852,0.7467712,0.010327845,0.04481695],"study_design_scores_gemma":[0.000388519,0.00005868469,0.61581016,0.000060445,0.000017456818,0.000014275298,0.00173411,0.005720064,0.0032682493,0.059793033,0.31295228,0.00018272591],"about_ca_topic_score_codex":0.00001819182,"about_ca_topic_score_gemma":0.0000015578318,"teacher_disagreement_score":0.6869782,"about_ca_system_score_codex":0.0010637565,"about_ca_system_score_gemma":0.00019777713,"threshold_uncertainty_score":0.2798817},"labels":[],"label_agreement":null},{"id":"W4404939547","doi":"10.21203/rs.3.rs-5477899/v1","title":"Economic Feasibility of a Wetland Certification Program in the Canadian Prairies","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Certification; Wetland; Business; Environmental planning; Environmental resource management; Geography; Environmental science; Economics; Ecology; Management","score_opus":0.3308904150862186,"score_gpt":0.3854000885615849,"score_spread":0.05450967347536634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404939547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9648042,0.002170474,0.0000040058944,0.0055778334,0.00023320125,0.0021395392,0.00073102367,0.000016373659,0.02432335],"genre_scores_gemma":[0.99835795,0.00025645335,0.000088243265,0.000016485095,0.000091777496,0.0006340093,0.00026893074,0.00002220413,0.00026392797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981356,0.00013569991,0.0006697126,0.00060560834,0.00008011688,0.00037325718],"domain_scores_gemma":[0.9988856,0.000113355294,0.00017024408,0.0007227817,0.000022711216,0.00008533958],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0042670416,0.00014365654,0.00032922538,0.00058360765,0.00011665573,0.00023406606,0.00047574536,0.00026452003,0.00024646914],"category_scores_gemma":[0.00013406943,0.00013896902,0.00012662321,0.00015818402,0.00025784766,0.00007289214,0.0002871834,0.00090348645,0.0010661343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001194789,0.00012436762,0.9199168,0.00064452295,0.00003327917,0.000002518111,0.002072905,0.00077541353,0.0000012756344,0.072367005,0.0019439125,0.0021060633],"study_design_scores_gemma":[0.00013239948,0.00007778027,0.81327623,0.00010172894,0.0000034932689,8.141627e-7,0.00041387035,0.0036930356,0.000010293243,0.1763997,0.005744266,0.00014640034],"about_ca_topic_score_codex":0.25850165,"about_ca_topic_score_gemma":0.5965487,"teacher_disagreement_score":0.338047,"about_ca_system_score_codex":0.002112835,"about_ca_system_score_gemma":0.00040315147,"threshold_uncertainty_score":0.99971163},"labels":[],"label_agreement":null},{"id":"W4405098783","doi":"10.1007/s40258-024-00929-6","title":"Assessing the Direct Impact of Death on Discrete Choice Experiment Utilities","year":2024,"lang":"en","type":"article","venue":"Applied Health Economics and Health Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Social Sciences and Humanities Research Council","keywords":"Statistics; Consistency (knowledge bases); Logit; Mathematics; Goodness of fit; Econometrics; Population; Quality of Life Research; Demography; Medicine; Actuarial science; Public health; Economics","score_opus":0.23002467951993388,"score_gpt":0.4119822017311558,"score_spread":0.1819575222112219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405098783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91034454,0.013635576,0.00016660627,0.028565072,0.00033629563,0.0009372567,0.00036615226,0.000052216456,0.04559627],"genre_scores_gemma":[0.98381656,0.011823832,0.0001363094,0.003573623,0.00033401485,0.00008201665,0.000035222183,0.000039363964,0.00015903918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979994,0.000024935161,0.0009893012,0.0004742191,0.000022548902,0.00048958283],"domain_scores_gemma":[0.99883294,0.00016188022,0.0004651946,0.00032503708,0.0000029602445,0.00021196855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013634644,0.00021582628,0.00057850627,0.0002318976,0.00032828006,0.0001574639,0.00013376254,0.00007025569,0.00008758486],"category_scores_gemma":[0.000009842717,0.00018899947,0.00012979911,0.00008772578,0.000093867275,0.00019288906,0.0000638355,0.00017772951,0.00009793354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007410084,0.000041603937,0.013825596,0.00021641799,0.00007641418,7.012389e-8,0.0024915375,0.0009804595,0.0000012830278,0.9689632,0.0009811365,0.012414852],"study_design_scores_gemma":[0.00084877206,0.0007004748,0.84463304,0.00013271492,0.000006553355,0.000004468899,0.0009762106,0.013983469,0.000031266834,0.053675484,0.08451072,0.0004968011],"about_ca_topic_score_codex":0.01668118,"about_ca_topic_score_gemma":0.00011124625,"teacher_disagreement_score":0.91528773,"about_ca_system_score_codex":0.0014094441,"about_ca_system_score_gemma":0.00043378313,"threshold_uncertainty_score":0.98986685},"labels":[],"label_agreement":null},{"id":"W4405171336","doi":"10.2196/59621","title":"Incentivizing Rural Work Preferences Among Specialist Physicians: Protocol for a Discrete Choice Experiment","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Focus group; Protocol (science); Health care; Exploratory research; Nursing; Medicine; Qualitative research; Medical education; Research design; Work (physics); Family medicine; Psychology; Marketing; Alternative medicine; Business","score_opus":0.4808919174313716,"score_gpt":0.4910059077750083,"score_spread":0.010113990343636692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405171336","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0080784345,0.000017220525,0.0005899123,0.00027388913,0.000034996232,0.97996616,0.000067050794,0.00007932375,0.010893005],"genre_scores_gemma":[0.042236883,7.705544e-7,0.0003348873,0.000021433863,0.00062549155,0.953666,0.000024496097,0.000048096226,0.0030419521],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979406,0.00007519085,0.00060741906,0.0006204875,0.00013851446,0.0006177662],"domain_scores_gemma":[0.99918383,0.0001746353,0.00015471443,0.00036344014,0.000025372114,0.00009802628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348351,0.00019976792,0.00030009923,0.0002191639,0.0002888257,0.00067830406,0.00039421828,0.00010825394,0.0008991991],"category_scores_gemma":[0.00006076278,0.00020341031,0.00015831618,0.00032868225,0.00024278989,0.00078451703,0.000187659,0.00032820826,0.0007311658],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008953323,0.0016944229,0.6685819,0.0037664478,0.00029501438,0.000009075893,0.0063314424,0.00014690477,0.00094949757,0.15651724,0.09690772,0.06390499],"study_design_scores_gemma":[0.0017200169,0.00059597485,0.10813388,0.0030888657,0.0000012592187,3.3194894e-7,0.00041360816,0.0013858818,0.0016561287,0.022682238,0.8598457,0.00047613468],"about_ca_topic_score_codex":0.000089684414,"about_ca_topic_score_gemma":0.000020531501,"teacher_disagreement_score":0.76293796,"about_ca_system_score_codex":0.00049510127,"about_ca_system_score_gemma":0.0000400975,"threshold_uncertainty_score":0.98455995},"labels":[],"label_agreement":null},{"id":"W4405199273","doi":"10.12974/2311-8741.2024.12.02","title":"Loss of Substitutability: A Note of Disparity between WTP and WTA","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Science and Engineering Technology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Economics; Endowment effect; Willingness to pay; Loss aversion; Nonmarket forces; Willingness to accept; Public good; Context (archaeology); Microeconomics; Valuation (finance); Contingent valuation; Foundation (evidence); Endowment; Law","score_opus":0.023016304538373066,"score_gpt":0.19799136816617185,"score_spread":0.1749750636277988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405199273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948776,0.0025534276,0.0021478124,0.0002107509,0.00009522458,0.000038298494,0.000026117994,0.000005380736,0.00004543033],"genre_scores_gemma":[0.99780244,0.00080073427,0.0013674662,0.0000033473252,0.000015968795,7.396949e-7,3.4191743e-7,0.0000044960707,0.0000044469743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930304,0.000001596835,0.0003945362,0.00014364462,0.0000472857,0.0001098685],"domain_scores_gemma":[0.99969137,0.00002633909,0.00014495997,0.00009185471,0.000002658601,0.000042805703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065494585,0.000064491884,0.00022926112,0.0003058786,0.000024112489,0.00001046667,0.0001290756,0.00006394368,0.000023665327],"category_scores_gemma":[0.000051603372,0.000065061446,0.000029451026,0.00015417859,0.0005945197,0.00027343814,0.00009408502,0.000116290714,0.0000032033372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000276251,0.000035644138,0.95219535,0.00007502852,0.000028760895,0.000002649757,0.00017098432,0.0003898185,0.02583032,0.013998994,0.0000035469807,0.0072661713],"study_design_scores_gemma":[0.0001846984,0.00017158822,0.98336905,0.000047956037,0.000015024955,0.000043582826,0.000064064676,0.0034336084,0.006797881,0.0050104763,0.00076142565,0.00010067086],"about_ca_topic_score_codex":0.0000073763044,"about_ca_topic_score_gemma":3.3099678e-7,"teacher_disagreement_score":0.031173702,"about_ca_system_score_codex":0.00010808973,"about_ca_system_score_gemma":0.000009249868,"threshold_uncertainty_score":0.26531288},"labels":[],"label_agreement":null},{"id":"W4405334525","doi":"10.1051/shsconf/202420802016","title":"Research on evaluating water pollution determinants using multiple logistic regression","year":2024,"lang":"en","type":"article","venue":"SHS Web of Conferences","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Logistic regression; Pollution; Environmental science; Statistics; Water resource management; Econometrics; Environmental health; Geography; Mathematics; Medicine; Biology","score_opus":0.5628606903264485,"score_gpt":0.4099875216958307,"score_spread":0.15287316863061778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405334525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97390676,0.00075179915,0.00042080143,0.00011311535,0.00045562568,0.0001567134,0.000038324688,0.000018440545,0.024138404],"genre_scores_gemma":[0.9992246,0.00009950446,0.00023016351,0.000015933963,0.00007862274,0.00001152267,0.000013134493,0.000011918389,0.00031460298],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882454,0.0000571317,0.00045022657,0.00034090102,0.00008459021,0.00024263177],"domain_scores_gemma":[0.9995474,0.00013036924,0.00009415616,0.00017097614,0.000020181398,0.00003688997],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017861756,0.00010141246,0.00021742977,0.00030918248,0.00012052949,0.00007092372,0.0001371184,0.0000878319,0.00092266727],"category_scores_gemma":[0.000100594996,0.00008153831,0.000058803722,0.00009272344,0.00014519577,0.00017956368,0.00006223446,0.00014843723,0.0006177147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011687164,0.00017785598,0.5464891,0.00031991256,0.00008642406,0.00000994812,0.00067079114,0.006139117,0.01392624,0.39413297,0.00030722521,0.03762352],"study_design_scores_gemma":[0.00057495444,0.00052953634,0.119459584,0.0006221621,0.000015136622,0.000004238667,0.0007158417,0.81105775,0.016571293,0.045053214,0.0050514773,0.00034480862],"about_ca_topic_score_codex":0.0006414437,"about_ca_topic_score_gemma":0.000027855074,"teacher_disagreement_score":0.80491865,"about_ca_system_score_codex":0.00013288946,"about_ca_system_score_gemma":0.0002650896,"threshold_uncertainty_score":0.99999064},"labels":[],"label_agreement":null},{"id":"W4405749704","doi":"10.1016/j.jval.2024.10.3516","title":"PCR274 Exploring Drivers for Treatment Preferences in Canadian Patients With Type 2 Diabetes: A Qualitative Interview Study to Inform a Discrete Choice Experiment","year":2024,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Diabetes Canada","funders":"","keywords":"Type 2 diabetes; Qualitative research; Psychology; Medicine; Applied psychology; Diabetes mellitus; Sociology; Endocrinology; Social science","score_opus":0.3587980577137058,"score_gpt":0.3433170351235492,"score_spread":0.015481022590156601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405749704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964307,0.0008265768,0.000029123015,0.0004218249,0.00024832244,0.0016741063,0.00013441236,0.000009678484,0.00022523767],"genre_scores_gemma":[0.99858606,0.00014087069,0.00026351196,0.00012139468,0.000016151695,0.0007612267,0.000041180738,0.00001615034,0.000053433905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987508,0.00004794696,0.00050048484,0.00033463462,0.000029517896,0.00033662745],"domain_scores_gemma":[0.99953735,0.00009491931,0.00008204876,0.00012634617,0.000005441109,0.00015389003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007413898,0.00012925212,0.00029511095,0.00035176365,0.000053372183,0.00004038021,0.00008057401,0.000019847344,0.00004907028],"category_scores_gemma":[0.00002999768,0.00012280965,0.00002750093,0.00023299029,0.000011932303,0.00026725483,0.000018729947,0.0000436651,0.00007006933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013083004,0.00017577848,0.87414443,0.00009781707,0.00004193658,3.507401e-7,0.11651901,0.0031790978,6.746315e-8,0.001795248,0.000018236518,0.0040149344],"study_design_scores_gemma":[0.0018011278,0.0056643374,0.9476695,0.0004783924,0.0000059106383,3.488766e-8,0.02519056,0.006480267,0.000006285668,0.00095822354,0.01138244,0.00036293126],"about_ca_topic_score_codex":0.26750597,"about_ca_topic_score_gemma":0.15144095,"teacher_disagreement_score":0.116065025,"about_ca_system_score_codex":0.0029532455,"about_ca_system_score_gemma":0.00011253203,"threshold_uncertainty_score":0.86404306},"labels":[],"label_agreement":null},{"id":"W4405897018","doi":"10.1038/s41598-024-83298-3","title":"The social costs of pesticides: a meta-analysis of the experimental and stated preference literature","year":2024,"lang":"en","type":"review","venue":"Scientific Reports","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"H2020 Marie Skłodowska-Curie Actions; U.S. Food and Drug Administration; Governo Brasil; European Commission","keywords":"Preference; Meta-analysis; Pesticide; Computer science; Medicine; Statistics; Biology; Ecology; Internal medicine; Mathematics","score_opus":0.2565322948980719,"score_gpt":0.3246484967652333,"score_spread":0.06811620186716139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405897018","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029907918,0.99451643,0.000008278764,0.00002136562,0.0011030372,0.00041069434,0.00031336077,0.000004645868,0.0006313741],"genre_scores_gemma":[0.14464878,0.8488084,0.000037351234,0.000008227349,0.000029194422,0.0001472061,0.0002840771,0.000031088464,0.006005664],"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774456,0.00005791252,0.0013638018,0.00060992676,0.0000892115,0.00013456064],"domain_scores_gemma":[0.99752426,0.000067459514,0.0017521555,0.00060718996,0.000021003312,0.000027941991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017565544,0.00019335805,0.001469146,0.00023192861,0.00022259945,0.00023392007,0.00021225383,0.00011241408,0.00016949484],"category_scores_gemma":[0.000061232495,0.0001092178,0.0012983152,0.00083019875,0.00041459693,0.00008264951,0.00017580728,0.00014739446,0.00001191938],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025005314,0.0011182571,0.007201205,0.018817296,0.6120847,0.000092560345,0.031100862,0.00036881742,0.00008042268,0.16055629,0.032996364,0.13555822],"study_design_scores_gemma":[0.00009104822,0.000041708958,0.0011640753,0.000717616,0.17214237,0.000045328823,0.00041211885,0.00043311086,0.000063101106,0.013605169,0.81061906,0.00066529284],"about_ca_topic_score_codex":0.000033794815,"about_ca_topic_score_gemma":0.0000140017455,"teacher_disagreement_score":0.7776227,"about_ca_system_score_codex":0.00011812349,"about_ca_system_score_gemma":0.000049987877,"threshold_uncertainty_score":0.44537726},"labels":[],"label_agreement":null},{"id":"W4406100263","doi":"10.1080/01621459.2024.2448857","title":"Inferences in Multinomial Dynamic Mixed Logit Models","year":2025,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mixed logit; Econometrics; Multinomial logistic regression; Multinomial distribution; Statistics; Multinomial probit; Logistic regression; Mathematics","score_opus":0.0429779171084795,"score_gpt":0.24796878532931507,"score_spread":0.20499086822083556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406100263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94157183,0.00007493953,0.053829934,0.0018651065,0.0004079229,0.00006802134,0.00006451099,0.0000026159723,0.002115123],"genre_scores_gemma":[0.99694425,0.00008859123,0.0023122455,0.0002733793,0.0000218517,0.0000024426795,0.0000025620936,0.0000039,0.0003507693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990374,0.000059439404,0.00063326716,0.00009821113,0.000047174683,0.00012452285],"domain_scores_gemma":[0.99839985,0.00028408208,0.0012019343,0.000074380594,0.000017444445,0.000022309561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007314443,0.00006268793,0.00029917076,0.00010994656,0.0000392165,0.000028505052,0.00015344204,0.00003305476,0.000040488183],"category_scores_gemma":[0.00054636324,0.0000550548,0.00006953182,0.00015625062,0.000055582976,0.00014855436,0.00003741177,0.00016743675,0.000029181907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028724136,0.000085888634,0.9357709,0.000004103121,0.000057722867,6.3002693e-7,0.00010942025,0.006490079,0.000019595294,0.048868205,0.0009975034,0.007567189],"study_design_scores_gemma":[0.0003395609,0.000034989414,0.83327144,0.000009301687,0.000008522227,4.036916e-7,0.00009148145,0.03608636,0.0000059120853,0.12993257,0.0001689465,0.000050524268],"about_ca_topic_score_codex":0.00021621246,"about_ca_topic_score_gemma":0.00008884921,"teacher_disagreement_score":0.10249951,"about_ca_system_score_codex":0.0009949681,"about_ca_system_score_gemma":0.000030540155,"threshold_uncertainty_score":0.2601807},"labels":[],"label_agreement":null},{"id":"W4406688629","doi":"10.2196/59209","title":"Embedding a Choice Experiment in an Online Decision Aid or Tool: Scoping Review","year":2025,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Preprint; Computer science; Decision aids; Data science; World Wide Web; Medicine","score_opus":0.5435893279667946,"score_gpt":0.5327649563137763,"score_spread":0.010824371653018305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406688629","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009479417,0.9967519,0.00046076663,0.0002960599,0.00049720414,0.00069862383,0.000016069964,0.0000035362395,0.00032787884],"genre_scores_gemma":[0.000051797197,0.9976664,0.0007373518,0.00023462022,0.00041803232,0.000052062293,0.00002905056,0.000028217437,0.0007824634],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99495167,0.00036095048,0.0033200684,0.00045949488,0.0005096944,0.00039809677],"domain_scores_gemma":[0.9967944,0.0015389773,0.00096924754,0.00037501391,0.000051563115,0.0002707957],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012775842,0.00024044364,0.002242918,0.0010237335,0.000035323003,0.000104130886,0.001309604,0.00040857933,0.007037742],"category_scores_gemma":[0.0055327765,0.00018939572,0.0003836547,0.00040750814,0.00009397888,0.0003193358,0.0004947829,0.0018023441,0.00021138931],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026112255,0.0003712281,0.00026367043,0.033043493,0.00006994019,0.00009596219,0.0000673326,0.000003895139,1.8228993e-8,0.00031744738,0.004071107,0.9616698],"study_design_scores_gemma":[0.00054731255,0.0002759809,0.000046928315,0.5754845,0.000023166487,0.000056291465,0.0000322895,0.00046232637,2.518585e-7,0.0001520355,0.42274633,0.00017257256],"about_ca_topic_score_codex":0.000101882644,"about_ca_topic_score_gemma":0.00015478303,"teacher_disagreement_score":0.96149725,"about_ca_system_score_codex":0.0011396823,"about_ca_system_score_gemma":0.0006688167,"threshold_uncertainty_score":0.99386996},"labels":[],"label_agreement":null},{"id":"W4406806133","doi":"10.1016/j.tjpad.2024.100036","title":"American's overall and equity-based societal valuation of a disease-modifying Alzheimer's treatment: Results from a discrete choice experiment","year":2025,"lang":"en","type":"article","venue":"The Journal of Prevention of Alzheimer s Disease","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Valuation (finance); Equity (law); Economics; Actuarial science; Financial economics; Econometrics; Medicine; Psychology; Political science; Finance","score_opus":0.15776958961523702,"score_gpt":0.33237130406826737,"score_spread":0.17460171445303035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406806133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693715,0.024868181,0.0035031247,0.0010181704,0.00014536417,0.0003510738,0.00045840684,0.000005164796,0.0002790337],"genre_scores_gemma":[0.9983535,0.0007815458,0.000604091,0.00009480249,0.000049917304,0.0000110256415,0.00005228044,0.00001151587,0.000041353727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984086,0.00012959504,0.0010334078,0.0001971718,0.000102613034,0.00012857473],"domain_scores_gemma":[0.9976777,0.00016164806,0.0017170904,0.00027931956,0.000033366807,0.00013090862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008337553,0.00015132161,0.00039925473,0.00013360605,0.000083197745,0.000021321504,0.00016569004,0.000028313736,0.0000805623],"category_scores_gemma":[0.00007822057,0.00013210649,0.00030145238,0.000087746965,0.0001900657,0.0002674619,0.00007186512,0.000068021065,0.000005378396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.034013275,0.013028782,0.5419349,0.0004890409,0.039933734,0.000017747834,0.01559133,0.13482001,0.0083769495,0.045204237,0.0032132128,0.16337676],"study_design_scores_gemma":[0.0064001456,0.00060059794,0.93780184,0.00023605542,0.0031634385,3.1829038e-7,0.00034317543,0.015791105,0.002505416,0.03256379,0.000339043,0.00025505322],"about_ca_topic_score_codex":0.00031675806,"about_ca_topic_score_gemma":0.000005483035,"teacher_disagreement_score":0.39586696,"about_ca_system_score_codex":0.00009848395,"about_ca_system_score_gemma":0.00010065549,"threshold_uncertainty_score":0.53871465},"labels":[],"label_agreement":null},{"id":"W4406813769","doi":"10.1057/s41599-025-04395-w","title":"To label or not? A choice experiment testing whether labelled green bonds matter to retail investors","year":2025,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; York University; University of Ottawa","funders":"University of Waterloo; University of Toronto; University of Ottawa","keywords":"Bond; Business; Finance","score_opus":0.46990792836381273,"score_gpt":0.32625308429537325,"score_spread":0.14365484406843948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406813769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82645905,0.0004369105,0.0001047846,0.018437875,0.00008110505,0.00029071595,0.00003223335,0.000025751599,0.15413156],"genre_scores_gemma":[0.9562029,0.000047863217,0.0041138018,0.015503833,0.00004022154,0.0001447698,0.000005872141,0.000008525752,0.023932211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992883,0.000026872242,0.0002822135,0.00021022244,0.000029487317,0.00016286556],"domain_scores_gemma":[0.99949366,0.000121906254,0.000088396664,0.0002572518,0.0000122743,0.000026529975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040745235,0.000082821425,0.00015794845,0.00012971692,0.0012934926,0.00014897101,0.00044937333,0.00003643107,0.00040302408],"category_scores_gemma":[0.00004107255,0.000087897846,0.000019197112,0.00021253582,0.00029007965,0.00017056505,0.00039564117,0.00006452257,0.00022039113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013436589,0.00016724251,0.20578033,0.000028322314,0.000047325884,1.1442054e-7,0.04014886,0.00004163252,0.00027059432,0.7390793,0.011117768,0.0033051097],"study_design_scores_gemma":[0.0007198227,0.00025349148,0.46149972,0.000060084243,0.00001910091,5.7937234e-7,0.014280417,0.0020489125,0.00004729151,0.012804425,0.50766885,0.00059729244],"about_ca_topic_score_codex":0.002515889,"about_ca_topic_score_gemma":0.0015105375,"teacher_disagreement_score":0.72627485,"about_ca_system_score_codex":0.00012414598,"about_ca_system_score_gemma":0.000020010266,"threshold_uncertainty_score":0.99486303},"labels":[],"label_agreement":null},{"id":"W4406817627","doi":"10.1016/j.socec.2025.102346","title":"Weather uncertainty and demand for information in technology adoption: Case of Namibia","year":2025,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Forestry, Fisheries and the Environment; Water Research Commission; Environment for Development; International Development Research Centre; National Research Foundation of Korea; National Research Foundation; Department for International Development, UK Government","keywords":"Information technology; Business; Natural resource economics; Economics; Computer science","score_opus":0.040720672378033514,"score_gpt":0.2639118379860133,"score_spread":0.2231911656079798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406817627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973908,0.0017521117,0.00021118273,0.00016219597,0.00012450147,0.0001365141,0.00002915433,0.0000017632585,0.00019174934],"genre_scores_gemma":[0.99847925,0.0003501367,0.001065286,0.000054569402,0.000011412947,0.000009865411,0.000004048303,0.000003730536,0.000021706368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991649,0.0000036261983,0.0006601778,0.00008610508,0.0000057114503,0.000079519945],"domain_scores_gemma":[0.9995066,0.000011956056,0.00038838387,0.00005657092,0.00000973205,0.000026763892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023945048,0.00007422487,0.0002638747,0.0002900045,0.000035952187,0.000020748208,0.000043496464,0.00008351287,0.000019866258],"category_scores_gemma":[0.0000037086927,0.00008339759,0.00004459372,0.00004019609,0.00007617654,0.00044046427,0.000031541127,0.000058083784,0.0000014285124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005223183,0.000686615,0.78668094,0.00012050676,0.00011356731,0.0000133258745,0.0052330913,0.0041345186,0.0008756954,0.1642442,0.00014228413,0.037232917],"study_design_scores_gemma":[0.05904433,0.0095322095,0.4306106,0.0006685789,0.00035403948,0.0039909305,0.12718566,0.0753203,0.039242253,0.19875044,0.05224219,0.003058454],"about_ca_topic_score_codex":0.00009093716,"about_ca_topic_score_gemma":0.000025827045,"teacher_disagreement_score":0.35607034,"about_ca_system_score_codex":0.00013745186,"about_ca_system_score_gemma":0.000010866889,"threshold_uncertainty_score":0.34008548},"labels":[],"label_agreement":null},{"id":"W4406856964","doi":"10.2139/ssrn.5048881","title":"Optimizing Protocols for Random Digit Dial Surveys: Evidence from Low-and Middle-Income Countries","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Numerical digit; Dial; Low and middle income countries; Computer science; Economics; Developing country; Arithmetic; Mathematics; Economic growth; Engineering","score_opus":0.08591713957136989,"score_gpt":0.2685106201196899,"score_spread":0.18259348054832003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406856964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69298434,0.03050212,0.25757632,0.0012440836,0.0013593991,0.014279619,0.0013171092,0.00005929737,0.0006777173],"genre_scores_gemma":[0.9570892,0.031409185,0.0019482203,0.000116847375,0.0009526696,0.005299966,0.00013149361,0.00006949031,0.0029829678],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966074,0.000104661034,0.0011970596,0.000707677,0.000068514375,0.0013146807],"domain_scores_gemma":[0.99792004,0.0005020259,0.0010877248,0.00036056348,0.00003632052,0.00009331813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005595301,0.00036544362,0.00089039386,0.00020736459,0.00027978045,0.0004369312,0.00050067774,0.0003288866,0.000097407676],"category_scores_gemma":[0.00033800097,0.00041753481,0.0003147912,0.000050153198,0.0000943398,0.0004580823,0.00030910657,0.0015336848,0.000053641055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021775772,0.0003264066,0.820213,0.0023396115,0.0039700367,0.0000058355954,0.0029701416,0.019879216,0.000012876836,0.13611959,0.00014456976,0.011841138],"study_design_scores_gemma":[0.006900985,0.00036311286,0.03221113,0.0036888164,0.00013003661,0.000020812011,0.00026372328,0.0068279034,0.00013360016,0.94666535,0.0016375436,0.0011569737],"about_ca_topic_score_codex":0.00045199992,"about_ca_topic_score_gemma":0.00042481424,"teacher_disagreement_score":0.8105458,"about_ca_system_score_codex":0.0020947724,"about_ca_system_score_gemma":0.0008422492,"threshold_uncertainty_score":0.9998276},"labels":[],"label_agreement":null},{"id":"W4406882494","doi":"10.19080/ecoa.2021.01.555570","title":"\"Conservation and Innovation: A Compromise Via the Lens of Coase and Schumpeter\"","year":2021,"lang":"en","type":"article","venue":"Ecology & Conservation Science Open Access","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Coase theorem; Compromise; Economics; Neoclassical economics; Through-the-lens metering; Lens (geology); Microeconomics; Sociology; Physics; Transaction cost; Social science","score_opus":0.28340532096822446,"score_gpt":0.34445701198323314,"score_spread":0.06105169101500868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406882494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97966284,0.00012522742,0.0007220749,0.015633909,0.00017340423,0.0003398754,0.0000199192,0.0000058357696,0.003316922],"genre_scores_gemma":[0.9928249,0.000109114386,0.00096920034,0.00561175,0.000013615418,0.00004634104,0.000022503285,0.0000053571716,0.00039721545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878365,0.000035492456,0.00057674415,0.00041491576,0.000042673062,0.00014651653],"domain_scores_gemma":[0.99893576,0.00014061436,0.00051810045,0.00026807652,0.00010664948,0.000030816784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018354909,0.000086748245,0.0002269031,0.00020304619,0.00039063286,0.00045038358,0.0005211957,0.000053034357,0.00036082236],"category_scores_gemma":[0.00031822454,0.00008736676,0.0000137600755,0.0008416628,0.00076380814,0.0028637138,0.00073385716,0.00007926754,0.000025714808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000756495,0.00003234225,0.86164767,0.000008454139,0.000009363304,4.9357106e-7,0.00015853424,0.000020521455,0.0012321145,0.13601264,0.00024619256,0.0006240956],"study_design_scores_gemma":[0.0005496315,0.000029082115,0.9684933,0.000006108776,0.0000049492337,0.000010136009,0.00012475862,0.007955539,0.0010603484,0.018794073,0.002871945,0.00010017212],"about_ca_topic_score_codex":0.00037571977,"about_ca_topic_score_gemma":0.00032729737,"teacher_disagreement_score":0.11721858,"about_ca_system_score_codex":0.0000648704,"about_ca_system_score_gemma":0.00012501053,"threshold_uncertainty_score":0.4343059},"labels":[],"label_agreement":null},{"id":"W4406962517","doi":"10.1080/03007995.2025.2459784","title":"US general population food allergy treatment preferences: a discrete choice experiment","year":2025,"lang":"en","type":"article","venue":"Current Medical Research and Opinion","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health","funders":"","keywords":"Medicine; Food allergy; Population; Allergy; Environmental health; Immunology","score_opus":0.3011725331382148,"score_gpt":0.4000065059508784,"score_spread":0.0988339728126636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406962517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751838,0.01804586,0.00080831896,0.0009679319,0.0008358706,0.00033416756,0.000035511646,0.000015938827,0.0037726364],"genre_scores_gemma":[0.983865,0.014935998,0.00005187125,0.00003787794,0.00023845307,0.00015865247,0.00023175523,0.0000069585276,0.00047339714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873966,0.000051575968,0.00037324542,0.00040537803,0.00012897092,0.0003011911],"domain_scores_gemma":[0.9994481,0.00009673834,0.00006264169,0.00017472009,0.000011282015,0.000206489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005791564,0.00011083396,0.00020578079,0.00017431645,0.00016875334,0.000057601603,0.00013021259,0.00009296075,0.00055248337],"category_scores_gemma":[0.00017324572,0.00010227518,0.00004588861,0.000110959765,0.00010721337,0.0001267088,0.00011312946,0.00016106627,0.00008603601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005046318,0.00052776985,0.58308357,0.000083961175,0.00011043936,4.024319e-7,0.0003158899,0.000024012183,0.0000065179656,0.21011873,0.0023194242,0.2033588],"study_design_scores_gemma":[0.0014692615,0.0006957585,0.64529663,0.00012636476,0.0000013989621,4.983186e-7,0.00006199916,0.006162341,0.00006473188,0.028759878,0.3171951,0.00016604732],"about_ca_topic_score_codex":0.00082408456,"about_ca_topic_score_gemma":0.00012618325,"teacher_disagreement_score":0.31487566,"about_ca_system_score_codex":0.00032931933,"about_ca_system_score_gemma":0.000041036335,"threshold_uncertainty_score":0.6049305},"labels":[],"label_agreement":null},{"id":"W4407003123","doi":"10.1002/csr.3141","title":"What Drives Consumer Willingness to Pay for Environmental, Social, and Governance Initiatives? A Choice Experiment","year":2025,"lang":"en","type":"article","venue":"Corporate Social Responsibility and Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Research Foundation of Korea; Ministry of Education; Korea University; National Research Foundation","keywords":"Willingness to pay; Business; Corporate governance; Corporate social responsibility; Marketing; Environmental economics; Stakeholder engagement; Public economics; Economics; Public relations; Finance; Microeconomics; Political science","score_opus":0.0856778043589758,"score_gpt":0.264810315826522,"score_spread":0.17913251146754616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407003123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99063647,0.002422952,0.001682145,0.0018294731,0.00033924612,0.0013905211,0.0003710583,0.000022673648,0.001305462],"genre_scores_gemma":[0.9900795,0.0041240356,0.00049103226,0.0012012734,0.000051009873,0.00037940877,0.00009215559,0.000026123318,0.0035554417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980737,0.00006192105,0.00058338454,0.0008759858,0.000070489245,0.00033452467],"domain_scores_gemma":[0.9992027,0.000103702994,0.00037005142,0.00022192023,0.0000019491588,0.0000996558],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059790694,0.00028995035,0.00042829025,0.00008272651,0.0006116326,0.00016506092,0.00014635979,0.00012230306,0.00014785567],"category_scores_gemma":[0.000020611267,0.00032986994,0.00009982602,0.00008533275,0.00039517853,0.00062187086,0.00036167153,0.0001080937,0.00006279167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010518358,0.0012720911,0.74954414,0.00041221394,0.0007217431,0.00000687217,0.007649062,0.00007141665,0.002458025,0.16212419,0.0019632298,0.07272517],"study_design_scores_gemma":[0.0013669833,0.000100872305,0.94345766,0.000026841524,0.000040214592,3.4143451e-7,0.004449946,0.0001932226,0.0003026458,0.015209119,0.03446256,0.0003895853],"about_ca_topic_score_codex":0.000015407117,"about_ca_topic_score_gemma":0.000009927027,"teacher_disagreement_score":0.19391352,"about_ca_system_score_codex":0.00053835707,"about_ca_system_score_gemma":0.000006879064,"threshold_uncertainty_score":0.99991536},"labels":[],"label_agreement":null},{"id":"W4407041346","doi":"10.1111/ajae.12508","title":"How stable and predictable are welfare estimates using recreation demand models?","year":2025,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Global Water Futures; Alberta Environment and Parks; European Association of Environmental and Resource Economists; Alberta Health Services","keywords":"Welfare; Recreation; Predictability; Economics; Nonmarket forces; Econometrics; Valuation (finance); Revealed preference; Stability (learning theory); Survey data collection; Public economics; Statistics; Computer science; Microeconomics; Mathematics; Ecology","score_opus":0.03910373263712994,"score_gpt":0.19317979307048372,"score_spread":0.15407606043335378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407041346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906411,0.0014967165,0.004423052,0.0020570122,0.00019700991,0.00010339758,0.00004059769,0.000007833695,0.0010332433],"genre_scores_gemma":[0.99135303,0.0014079971,0.006781125,0.0000988831,0.00007005533,0.0000028911463,0.000008543914,0.000009751454,0.0002677219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990005,0.000013319604,0.00056782644,0.00021676472,0.000016984237,0.00018458712],"domain_scores_gemma":[0.9985335,0.000035820864,0.0012103631,0.000103535815,0.00003361295,0.00008320143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002797142,0.00015363614,0.0005104229,0.00014178792,0.00014727587,0.00018373171,0.00012784178,0.000050549726,0.00002092669],"category_scores_gemma":[0.000031973228,0.00013922823,0.000091730784,0.00010785103,0.00011095324,0.001211671,0.00004872274,0.000116869116,0.0000032617024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009199628,0.00013877201,0.6609899,0.00007116808,0.00065203244,0.00000220579,0.0007713756,0.25244787,0.0002961377,0.077187866,0.00075566064,0.0065950495],"study_design_scores_gemma":[0.0012277027,0.00029062314,0.90330684,0.00010888257,0.00011359985,0.00009820415,0.009628109,0.059996452,0.00035938795,0.02209428,0.0022761333,0.0004997904],"about_ca_topic_score_codex":0.00012634952,"about_ca_topic_score_gemma":0.00001551152,"teacher_disagreement_score":0.24231696,"about_ca_system_score_codex":0.0003413817,"about_ca_system_score_gemma":0.000015807233,"threshold_uncertainty_score":0.56775624},"labels":[],"label_agreement":null},{"id":"W4407225255","doi":"10.7307/ptt.v37i1.736","title":"Investigating the Impact of the COVID-19 Pandemic on Travel Mode Choice Behaviour – A Stated Preference Case in Wuhan, China","year":2025,"lang":"en","type":"article","venue":"PROMET - Traffic&Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); China; Preference; Pandemic; Mode (computer interface); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Economics; Computer science; Medicine; Virology; Microeconomics; Outbreak","score_opus":0.14695480243097295,"score_gpt":0.3021843049802452,"score_spread":0.15522950254927223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407225255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99745667,0.000090990616,0.00054143835,0.00030909656,0.00007767548,0.0007443405,0.000539514,0.000022901058,0.00021739099],"genre_scores_gemma":[0.99931896,0.00005263283,0.00008735716,0.0001427188,0.000009150599,0.00011045726,0.00013848448,0.00001483316,0.0001254079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859935,0.0000554209,0.000744856,0.00034770896,0.00004957576,0.00020308902],"domain_scores_gemma":[0.999111,0.00011925105,0.00043085846,0.0002682995,0.00000917371,0.00006141426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006306148,0.00017259143,0.00027485008,0.00018589826,0.0001385917,0.000024584475,0.00020736187,0.00010250681,0.000083241204],"category_scores_gemma":[0.000119587196,0.00013466444,0.00013068605,0.00044820723,0.00010240743,0.00018119058,0.0000057886973,0.00025584098,0.000008000971],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013982191,0.00012017988,0.8090283,0.00004622086,0.000030677467,0.0000015513515,0.004034382,0.18424639,0.000093546274,0.0019584813,0.000037333368,0.00038895884],"study_design_scores_gemma":[0.0008243377,0.000073999814,0.9770397,0.00003614798,0.000020642263,0.0000034906077,0.00024109194,0.01912065,0.00006833356,0.0024246897,0.000013752592,0.00013318955],"about_ca_topic_score_codex":0.0069411187,"about_ca_topic_score_gemma":0.0050113504,"teacher_disagreement_score":0.16801137,"about_ca_system_score_codex":0.00041068738,"about_ca_system_score_gemma":0.000094281466,"threshold_uncertainty_score":0.99967176},"labels":[],"label_agreement":null},{"id":"W4407337683","doi":"10.3390/land14020361","title":"The Role of Anticipated Regret in Farmers’ Land Conversion Decisions","year":2025,"lang":"en","type":"article","venue":"Land","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Regret; Incentive; Grassland; Natural resource economics; Agriculture; Land use; Agricultural land; Business; Salience (neuroscience); Agricultural economics; Economics; Geography; Microeconomics; Ecology","score_opus":0.050935605875125564,"score_gpt":0.22228242973094936,"score_spread":0.17134682385582378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407337683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98371106,0.0013074306,0.000101659534,0.00021577266,0.00011129149,0.00007728509,0.000019942603,0.000003322836,0.014452246],"genre_scores_gemma":[0.9985556,0.0006748422,0.000031726802,0.000047267473,0.000005508593,0.00000406128,0.0000100904035,0.0000029160863,0.0006680089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995451,0.000008304152,0.00024112275,0.00010791609,0.000010627753,0.00008691953],"domain_scores_gemma":[0.99968404,0.00009129417,0.00008274276,0.00012652739,0.000002819669,0.000012607798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026411022,0.000041068375,0.00011867565,0.00006354799,0.000048696118,0.000010653797,0.00008012591,0.000038727918,0.00008858044],"category_scores_gemma":[0.00004465339,0.000035206856,0.000026408085,0.00008042268,0.00003362658,0.00004284774,0.000032235475,0.00004398205,0.0000925362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011295649,0.0000150891465,0.99265605,0.0000016899558,0.000008566859,1.4918453e-7,0.00006956026,0.000108532135,0.000015669852,0.005944215,0.000073732605,0.0010954518],"study_design_scores_gemma":[0.00051243254,0.000012659037,0.96548104,0.000013407854,0.0000023718699,1.5206662e-7,0.0001188108,0.0043926616,0.00011836039,0.017385203,0.011920104,0.00004279007],"about_ca_topic_score_codex":0.00080740725,"about_ca_topic_score_gemma":0.00030003054,"teacher_disagreement_score":0.027175002,"about_ca_system_score_codex":0.000036139176,"about_ca_system_score_gemma":0.000005043471,"threshold_uncertainty_score":0.1435694},"labels":[],"label_agreement":null},{"id":"W4407358105","doi":"10.1016/j.chieco.2025.102363","title":"Analysing decision behavior styles in contingent valuation: The latent class and the factor analysis","year":2025,"lang":"en","type":"article","venue":"China Economic Review","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"National Key Research and Development Program of China; Renmin University of China; National Natural Science Foundation of China","keywords":"Latent class model; Valuation (finance); Contingent valuation; Economics; Class (philosophy); Econometrics; Psychology; Microeconomics; Mathematics; Statistics; Computer science; Artificial intelligence; Willingness to pay","score_opus":0.08120936758058504,"score_gpt":0.2753085514607263,"score_spread":0.19409918388014125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407358105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85694104,0.1319658,0.0013803773,0.004062447,0.00019325933,0.00094403303,0.00003463152,0.000009108623,0.0044693043],"genre_scores_gemma":[0.91978216,0.07851488,0.00008195152,0.0011218714,0.00002433373,0.00014381735,0.000022178887,0.000007939345,0.000300839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821794,0.0000912003,0.0010952696,0.00040772973,0.00002450517,0.00016334865],"domain_scores_gemma":[0.99881375,0.00019886943,0.000477656,0.00047454,0.000005071198,0.000030099516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023679375,0.00016163854,0.0007402335,0.00019315096,0.00016349692,0.00010386932,0.0002570168,0.000051532577,0.0004822629],"category_scores_gemma":[0.00007774981,0.00011322399,0.0003044777,0.00025283682,0.00012547629,0.00016998062,0.00011189672,0.00013577321,0.00017702603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013505079,0.000036976955,0.8858489,0.00008606515,0.0004208896,3.9067842e-7,0.00019006817,0.001992858,6.1570864e-7,0.073682345,0.00031974382,0.037407663],"study_design_scores_gemma":[0.00077147665,0.0000066331736,0.9646285,0.000131125,0.0004109573,6.8224097e-7,0.000038323422,0.020668538,0.0000020851842,0.0064137257,0.006790461,0.0001374795],"about_ca_topic_score_codex":0.00024898766,"about_ca_topic_score_gemma":0.00021375761,"teacher_disagreement_score":0.07877964,"about_ca_system_score_codex":0.00032423623,"about_ca_system_score_gemma":0.00001636251,"threshold_uncertainty_score":0.52804404},"labels":[],"label_agreement":null},{"id":"W4407689857","doi":"10.2139/ssrn.5088625","title":"Yielding to the Weather: How Climate Change Impacts Planting Decisions and Consumers","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Sowing; Natural resource economics; Environmental resource management; Business; Environmental science; Economics; Agronomy; Ecology","score_opus":0.09869963331124053,"score_gpt":0.2493556889221657,"score_spread":0.15065605561092515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407689857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94239396,0.030371008,0.008502682,0.013155706,0.0012254836,0.0006762492,0.00028969764,0.00002640149,0.0033587907],"genre_scores_gemma":[0.91006577,0.08846367,0.00017679503,0.00047282723,0.00025711177,0.000034509096,0.000013923977,0.000020874057,0.0004945374],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977128,0.000032788874,0.00044918858,0.00040283625,0.000043196826,0.0013591809],"domain_scores_gemma":[0.9989979,0.00012966804,0.00048902066,0.00027489755,0.000009673656,0.00009881221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029254975,0.00022929792,0.00038273283,0.00024423853,0.0004003648,0.00025626426,0.00035003736,0.00017485803,0.00004041119],"category_scores_gemma":[0.00016737009,0.0002102164,0.00014407422,0.000074583935,0.000033315762,0.00016069652,0.00045065786,0.0017182587,0.00009610522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006458029,0.00006775782,0.5116786,0.00006504761,0.0008063425,0.0000034702543,0.0032036144,0.0010118961,0.000015438549,0.37763,0.000613222,0.10484009],"study_design_scores_gemma":[0.0021138215,0.00040323392,0.281699,0.0012214452,0.0002503496,0.0004146776,0.009309449,0.006180607,0.000045774203,0.66737545,0.029083436,0.0019027393],"about_ca_topic_score_codex":0.00020704627,"about_ca_topic_score_gemma":0.0005661238,"teacher_disagreement_score":0.28974548,"about_ca_system_score_codex":0.0009010594,"about_ca_system_score_gemma":0.00016284194,"threshold_uncertainty_score":0.8572376},"labels":[],"label_agreement":null},{"id":"W4407802214","doi":"10.2139/ssrn.5147645","title":"Estimating the Value of Safety Against Crashes: A Stated Preference Experiment on Route Choice of Food Delivery Riders","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Preference; Value (mathematics); Food delivery; Revealed preference; Business; Marketing; Advertising; Economics; Microeconomics; Statistics; Mathematics","score_opus":0.06955278174270982,"score_gpt":0.24365898906278324,"score_spread":0.17410620732007343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407802214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97743714,0.0043105213,0.013880768,0.00021176599,0.0004693284,0.00039118965,0.00023423316,0.000010346862,0.0030547353],"genre_scores_gemma":[0.9932062,0.005684408,0.0005524856,0.00008703214,0.00008367022,0.000025122643,0.00004548793,0.000021009324,0.00029460745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997351,0.00007801397,0.0013046955,0.0004028173,0.00007805474,0.00078545057],"domain_scores_gemma":[0.99759215,0.00015496036,0.0017457141,0.0004339367,0.00003089462,0.000042321277],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019005996,0.00026596658,0.00058529404,0.0001972905,0.00014416242,0.000034533547,0.00056756916,0.00016698572,0.000043881828],"category_scores_gemma":[0.0001164364,0.00025385089,0.0002694127,0.00008893761,0.00008671339,0.000112650116,0.00024091317,0.0015343191,0.000013795619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015020568,0.0003189503,0.048577312,0.00017757612,0.0017481433,3.0205072e-7,0.0016339467,0.70253533,0.00008929121,0.2343005,0.000050390005,0.010418064],"study_design_scores_gemma":[0.003646781,0.0016606007,0.09172398,0.0012663716,0.00020412097,0.000009665598,0.0032842283,0.15706885,0.0023637225,0.73713493,0.0004593506,0.0011773941],"about_ca_topic_score_codex":0.00061619515,"about_ca_topic_score_gemma":0.00022617404,"teacher_disagreement_score":0.5454665,"about_ca_system_score_codex":0.002169666,"about_ca_system_score_gemma":0.0007270819,"threshold_uncertainty_score":0.99999136},"labels":[],"label_agreement":null},{"id":"W4407816480","doi":"10.3390/su17051819","title":"Evaluation of Conservation Efficiency: Metrics for the Management of Permanent Preservation Areas and Legal Reserves in Brazil","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Universidade Federal do Pará; Ministério da Ciência, Tecnologia e Inovação","keywords":"Natural resource economics; Environmental resource management; Business; Environmental planning; Environmental economics; Environmental science; Environmental protection; Economics","score_opus":0.07401413580810326,"score_gpt":0.296109005628827,"score_spread":0.22209486982072377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407816480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98641473,0.0014148132,0.0069325557,0.0025583121,0.000064111824,0.0013679406,0.000020539237,0.0000031523427,0.0012238432],"genre_scores_gemma":[0.9990807,0.00010742243,0.00019092503,0.000024854082,0.0000037832524,0.00016176752,0.000013958142,0.0000032911566,0.00041326147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903697,0.00005000349,0.0005316522,0.00021150953,0.00007081338,0.00009906753],"domain_scores_gemma":[0.999147,0.00017782437,0.00023384068,0.00024184439,0.00018988934,0.000009591409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005668587,0.00006168511,0.00016114833,0.00016280163,0.000051515493,0.000016253625,0.0001043994,0.000041857278,0.000014547935],"category_scores_gemma":[0.0006554597,0.000061048646,0.000041447252,0.00029432337,0.00008321226,0.00028843063,0.0000650325,0.000037355327,2.9944493e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033613254,0.00011477395,0.6537077,0.00043577323,0.000040914012,3.4915594e-8,0.00019741351,0.0058535174,0.0000025896954,0.33474553,0.000037959864,0.004830197],"study_design_scores_gemma":[0.0006843691,0.000029213408,0.7911066,0.000011947148,0.00003465989,3.866555e-8,0.0006841307,0.08102473,0.00006883356,0.12590799,0.0004072781,0.000040211653],"about_ca_topic_score_codex":0.00089505775,"about_ca_topic_score_gemma":0.00012472899,"teacher_disagreement_score":0.20883754,"about_ca_system_score_codex":0.0007762166,"about_ca_system_score_gemma":0.00006444662,"threshold_uncertainty_score":0.24894914},"labels":[],"label_agreement":null},{"id":"W4407929112","doi":"10.1017/s0266462325000029","title":"Perception of non-layperson advisory committee members on the application of a discrete choice experiment instrument to patients and advisory committee members: a qualitative study","year":2025,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Genome Canada","keywords":"Layperson; Advisory committee; Perception; Psychology; Applied psychology; Political science; Law; Public administration","score_opus":0.043460906094321995,"score_gpt":0.3634690951537974,"score_spread":0.32000818905947537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407929112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898374,0.00022105114,0.0010704054,0.0073060724,0.00025215937,0.0007208797,0.000050953815,0.0000042682327,0.00053681905],"genre_scores_gemma":[0.99822205,0.00011856113,0.0011027482,0.00041802812,0.000012661137,0.000090875765,0.000014807069,0.00000785854,0.00001238859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834406,0.000089326335,0.0011156147,0.00020655688,0.00013141519,0.00011302837],"domain_scores_gemma":[0.99845207,0.00013549151,0.0011026855,0.00017911018,0.00009911943,0.000031515927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008903938,0.00011698257,0.00036161416,0.0006720818,0.000055819863,0.000010468848,0.00034104366,0.00007578267,0.000036611673],"category_scores_gemma":[0.000065820204,0.00011041805,0.000060481267,0.00015547586,0.00008503193,0.00012348006,0.00012264925,0.00025507223,0.000002478493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012334049,0.000789795,0.9349705,0.00006652864,0.0002040066,3.915974e-7,0.0341821,0.0008047278,0.0000693146,0.015208667,0.000138342,0.013442313],"study_design_scores_gemma":[0.002173326,0.001400714,0.7477831,0.00021451937,0.000010407738,7.280439e-7,0.24533375,0.00074621127,0.00010673208,0.001487295,0.00062953203,0.000113638765],"about_ca_topic_score_codex":0.000756917,"about_ca_topic_score_gemma":0.0001112332,"teacher_disagreement_score":0.21115164,"about_ca_system_score_codex":0.0013065635,"about_ca_system_score_gemma":0.00006145748,"threshold_uncertainty_score":0.45027173},"labels":[],"label_agreement":null},{"id":"W4408052063","doi":"10.1007/s13280-025-02147-3","title":"The costs of subsidies and externalities of economic activities driving nature decline","year":2025,"lang":"en","type":"article","venue":"AMBIO","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Universitat Autònoma de Barcelona; European Research Council; Ministerio de Ciencia e Innovación","keywords":"Subsidy; Externality; Natural resource economics; Economics; Greenhouse gas; Public economics; Business; Ecology; Microeconomics; Market economy","score_opus":0.023383906273447823,"score_gpt":0.22808367614377792,"score_spread":0.2046997698703301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408052063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851915,0.005994062,0.00009307448,0.00038286648,0.00022138818,0.00006228401,0.000035329173,0.000003863021,0.008015634],"genre_scores_gemma":[0.9962844,0.0020669368,0.0000667964,0.0000634246,0.000017491157,0.000005618221,0.0000030904735,0.0000045974384,0.0014876174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946606,0.000008123838,0.0003164798,0.00011880324,0.000009862407,0.00008069516],"domain_scores_gemma":[0.9994852,0.000150993,0.00021140969,0.00013895227,0.0000029194057,0.000010521285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029351888,0.000061101106,0.00019016834,0.000054010823,0.000062137595,0.000019251533,0.000096748605,0.000056921854,0.000038434813],"category_scores_gemma":[0.000025169471,0.000058693535,0.00004256976,0.000019584273,0.00013707706,0.00011038125,0.00008345398,0.00006264384,0.000007623731],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074817035,0.000008781773,0.64137167,0.000015486648,0.0000444873,3.9798035e-8,0.0001285886,0.000022021235,0.000105213294,0.3566294,0.00018032418,0.0014864885],"study_design_scores_gemma":[0.0003341065,0.00003236485,0.9295757,0.00004207405,0.000008874605,6.485367e-7,0.0008709507,0.0005497875,0.006856179,0.058108374,0.003521171,0.0000997718],"about_ca_topic_score_codex":0.00027629768,"about_ca_topic_score_gemma":0.00029196992,"teacher_disagreement_score":0.298521,"about_ca_system_score_codex":0.00006761776,"about_ca_system_score_gemma":0.000007821912,"threshold_uncertainty_score":0.23934528},"labels":[],"label_agreement":null},{"id":"W4408143370","doi":"10.1016/j.cosust.2025.101521","title":"Community-based approaches to biodiversity finance","year":2025,"lang":"en","type":"article","venue":"Current Opinion in Environmental Sustainability","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Business, Innovation and Employment; Commonwealth Scientific and Industrial Research Organisation; Cooperative Research Centre for Developing Northern Australia; Manaaki Whenua","keywords":"Biodiversity; Business; Environmental resource management; Environmental science; Ecology; Biology","score_opus":0.22234067797811957,"score_gpt":0.26654932552882066,"score_spread":0.044208647550701086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408143370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861688,0.00091593934,0.0071163783,0.003088334,0.0009786163,0.00082389754,0.00020030378,0.000024295341,0.0006834617],"genre_scores_gemma":[0.9990367,0.000094622395,0.0001918007,0.00016945944,0.000018598783,0.00011382389,0.00018522401,0.000006305427,0.00018345608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858904,0.00010711064,0.0005016338,0.0004628517,0.00003825816,0.00030112112],"domain_scores_gemma":[0.99925053,0.000052117502,0.00012320896,0.0005112042,0.0000022091135,0.00006073967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009270832,0.00018076932,0.00027890853,0.00023214333,0.00022255437,0.000035017998,0.00030848887,0.000084144514,0.0001247125],"category_scores_gemma":[0.00005593367,0.00024081203,0.000099156416,0.00020866349,0.0001585894,0.00025935195,0.00027398893,0.00031667232,0.0002549042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002907662,0.0008101681,0.97662467,0.0001845436,0.000005759947,7.859792e-8,0.0003233712,0.0055971984,9.698249e-7,0.011639033,0.00085629564,0.0039288285],"study_design_scores_gemma":[0.0006667577,0.00004944889,0.90322787,0.000022380293,0.0000019047812,8.642016e-8,0.0006280233,0.00093818514,0.000027588183,0.019911952,0.07430421,0.00022162999],"about_ca_topic_score_codex":0.00023619732,"about_ca_topic_score_gemma":0.000008491457,"teacher_disagreement_score":0.07344791,"about_ca_system_score_codex":0.003113635,"about_ca_system_score_gemma":0.000025142845,"threshold_uncertainty_score":0.982003},"labels":[],"label_agreement":null},{"id":"W4408333220","doi":"10.1177/1179173x251322597","title":"Canadian Youth Preferences for E-Cigarettes: A Discrete Choice Experiment","year":2025,"lang":"en","type":"article","venue":"Tobacco Use Insights","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Novelty; Discrete choice; Nicotine; Business; Public economics; Advertising; Marketing; Psychology; Environmental health; Economics; Social psychology; Medicine; Econometrics","score_opus":0.12158403216876479,"score_gpt":0.2427378814076869,"score_spread":0.12115384923892211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408333220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97151685,0.0008466078,0.00057769276,0.0003851508,0.00047818074,0.0004599204,0.00024179925,0.000026555124,0.025467249],"genre_scores_gemma":[0.99549985,0.00007398938,0.00028313661,0.00084770564,0.00006994773,0.00012982416,0.00012058041,0.000014154692,0.002960822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989495,0.000008410164,0.00038596935,0.00038258417,0.000019052075,0.000254443],"domain_scores_gemma":[0.9994188,0.00006387081,0.00011957562,0.00028157863,0.000009654318,0.00010652785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010734534,0.00014481737,0.00023590225,0.00020793502,0.00016995418,0.000120927165,0.00017963878,0.00009561123,0.00025469673],"category_scores_gemma":[0.000053876174,0.00015687408,0.000083354265,0.0000884321,0.00003228677,0.00038691759,0.0000335601,0.000063227206,0.00017057527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023249706,0.00007842499,0.8266724,0.000019188932,0.00017948529,7.3399326e-7,0.0052478206,0.0002830281,0.000020125846,0.16204424,0.0037379365,0.0016933893],"study_design_scores_gemma":[0.0016430308,0.00012769015,0.7897885,0.000083512445,0.000038863524,2.794192e-7,0.0018541812,0.0012870164,0.0011635647,0.03164211,0.1716087,0.00076257146],"about_ca_topic_score_codex":0.070981815,"about_ca_topic_score_gemma":0.045002937,"teacher_disagreement_score":0.16787076,"about_ca_system_score_codex":0.0004916665,"about_ca_system_score_gemma":0.000051686595,"threshold_uncertainty_score":0.97242326},"labels":[],"label_agreement":null},{"id":"W4408398943","doi":"10.1080/01621459.2025.2476221","title":"An Economical Approach to Design Posterior Analyses","year":2025,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","score_opus":0.10904751526756334,"score_gpt":0.30698393245458944,"score_spread":0.1979364171870261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408398943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5851357,0.00004515774,0.4111132,0.0013955877,0.00023426536,0.00011555681,0.000067620465,0.0000044754584,0.0018884006],"genre_scores_gemma":[0.96446794,0.000015452159,0.033745427,0.0013787155,0.000073265786,0.0000044958547,0.0000034586315,0.000007753978,0.0003034935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988845,0.00011280083,0.0006546941,0.00015267674,0.000047891663,0.00014744823],"domain_scores_gemma":[0.9984658,0.0002161845,0.0010662521,0.0001506414,0.000025526737,0.00007561117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009983071,0.00008267929,0.0003797735,0.0001263354,0.0000727314,0.00006796862,0.00024655234,0.00003219499,0.000051130082],"category_scores_gemma":[0.00045145213,0.00007176962,0.00009759854,0.0001745095,0.000044869408,0.00015870578,0.000035261226,0.00012622902,0.0000798041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021402513,0.0005999128,0.8864085,0.000011563489,0.00052771036,8.499057e-7,0.0004045338,0.024458751,0.0010585462,0.05644775,0.016178565,0.013689297],"study_design_scores_gemma":[0.00026849797,0.00018167254,0.9752313,0.000005233873,0.00004073162,0.0000021303595,0.00012812273,0.0075464947,0.000119809774,0.015438429,0.0009385457,0.000099048666],"about_ca_topic_score_codex":0.00005510311,"about_ca_topic_score_gemma":0.0000020258676,"teacher_disagreement_score":0.3793322,"about_ca_system_score_codex":0.00088685745,"about_ca_system_score_gemma":0.000031482028,"threshold_uncertainty_score":0.29266798},"labels":[],"label_agreement":null},{"id":"W4408723920","doi":"10.1016/j.energy.2025.135745","title":"Behavioural nudging for greener travel: A discrete choice experiment in the Greater Toronto Area","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Discrete choice; Economics; Advertising; Transport engineering; Econometrics; Engineering; Business","score_opus":0.09410160868071768,"score_gpt":0.2470457307134903,"score_spread":0.15294412203277263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408723920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9433731,0.001417204,0.010283473,0.0010624665,0.00028920986,0.0002034918,0.000040652056,0.0000116775445,0.04331877],"genre_scores_gemma":[0.99456143,0.00004563952,0.0001862246,0.000844191,0.000041718053,0.0002525673,0.00003570678,0.000009964253,0.0040225782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999289,0.000013463293,0.00028111762,0.00023102271,0.000015326681,0.00017009774],"domain_scores_gemma":[0.9996842,0.000040030638,0.00006989327,0.00018658947,0.0000019503918,0.000017322032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026453173,0.00009521051,0.00015337848,0.000042657553,0.000064405154,0.000033676017,0.0001442438,0.000046479672,0.00027097508],"category_scores_gemma":[0.000009247408,0.00008535682,0.000074799,0.000033801392,0.000020062627,0.00014661766,0.000026240103,0.000030040539,0.0000106686575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038483857,0.0001182547,0.58446896,0.000010342012,0.000052111303,0.0000011972674,0.002261882,0.00063034013,0.00014956766,0.40727445,0.0021419234,0.0028524506],"study_design_scores_gemma":[0.0010650357,0.000052544987,0.9587997,0.000012940686,0.000009224699,7.797786e-7,0.0009074024,0.005660505,0.0008029886,0.0052884147,0.02717779,0.00022264235],"about_ca_topic_score_codex":0.0060135243,"about_ca_topic_score_gemma":0.0020785152,"teacher_disagreement_score":0.40198606,"about_ca_system_score_codex":0.0002553138,"about_ca_system_score_gemma":0.0000042180186,"threshold_uncertainty_score":0.909069},"labels":[],"label_agreement":null},{"id":"W4408827524","doi":"10.1088/2515-7620/adc546","title":"Private protected areas exhibit greater bias towards unproductive land compared to public protected areas","year":2025,"lang":"en","type":"article","venue":"Environmental Research Communications","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Natural resource economics; Economics","score_opus":0.30170979617791976,"score_gpt":0.32489293372438205,"score_spread":0.023183137546462285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408827524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960976,0.0008206692,0.0013100995,0.014303643,0.00010476871,0.0032136117,0.0003504586,0.000086846325,0.018833889],"genre_scores_gemma":[0.990235,0.00035401527,0.0030812814,0.00020114885,0.00004239128,0.0017396241,0.0003913,0.00003987127,0.0039154207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99740046,0.0003475776,0.0007156435,0.00075134024,0.00017534274,0.00060961867],"domain_scores_gemma":[0.9970567,0.00013317748,0.00018541618,0.0023715359,0.000025874951,0.00022725598],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018600016,0.00024524328,0.00038085828,0.0006603656,0.0008184533,0.0001958471,0.0013478568,0.00013420965,0.0010715758],"category_scores_gemma":[0.00052878825,0.00028356139,0.00010393696,0.00067685643,0.00056510326,0.0003795705,0.00162093,0.000646385,0.0029248244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113358044,0.0013669201,0.95843863,0.000043654618,0.00030972922,0.000002123688,0.0015887226,0.00020662814,0.0019253824,0.027115608,0.002204796,0.006684418],"study_design_scores_gemma":[0.00082264433,0.00010047828,0.9153837,0.000045196586,0.000007546383,0.0000023249825,0.0003502777,0.0013059048,0.0011926953,0.011375658,0.069092244,0.00032134794],"about_ca_topic_score_codex":0.0004504661,"about_ca_topic_score_gemma":0.0000812122,"teacher_disagreement_score":0.06688745,"about_ca_system_score_codex":0.0014731167,"about_ca_system_score_gemma":0.000056441335,"threshold_uncertainty_score":0.9999617},"labels":[],"label_agreement":null},{"id":"W4409094290","doi":"10.48044/jauf.2025.011","title":"Right Appraisal for the Right Purpose: Comparing Techniques for Appraising Heritage Trees in Australia and Canada","year":2025,"lang":"en","type":"article","venue":"Arboriculture & Urban Forestry","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western Forest Products; University of British Columbia","funders":"","keywords":"Right of way; Geography; Political science; Law","score_opus":0.035119508516569614,"score_gpt":0.24173103547706928,"score_spread":0.20661152696049967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409094290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98689926,0.0016133053,0.0041677626,0.0012554455,0.0006442779,0.0011998408,0.00017370212,0.0000341128,0.00401228],"genre_scores_gemma":[0.9964461,0.000026276453,0.0010643018,0.00012568085,0.00012822327,0.00030556833,0.000059510767,0.00001195908,0.001832379],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901927,0.0000063715897,0.00038931728,0.00032046688,0.000022258833,0.00024233926],"domain_scores_gemma":[0.99946904,0.00017060929,0.00014930948,0.00016692629,0.00000798656,0.000036100602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022770582,0.0001580522,0.00027472613,0.000052506144,0.00017622572,0.00006772784,0.00017403724,0.00010979346,0.000019177382],"category_scores_gemma":[0.0000430256,0.00012858996,0.00006233636,0.00008090814,0.000056764784,0.0001561714,0.00003731998,0.00012422809,0.000001683599],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018731696,0.00003913725,0.74835706,0.00004390367,0.00005316451,0.000001079006,0.00011922283,0.00018817029,0.000037293234,0.21929593,0.03158825,0.0002580275],"study_design_scores_gemma":[0.0007313845,0.00003404128,0.7140505,0.000039754043,0.000024192937,0.000002101475,0.00018690377,0.0022936063,0.00056903367,0.0075800223,0.274221,0.00026748542],"about_ca_topic_score_codex":0.046583805,"about_ca_topic_score_gemma":0.20375182,"teacher_disagreement_score":0.24263275,"about_ca_system_score_codex":0.00020205842,"about_ca_system_score_gemma":0.000022317521,"threshold_uncertainty_score":0.9597651},"labels":[],"label_agreement":null},{"id":"W4409094325","doi":"10.31219/osf.io/c7fek_v2","title":"Coordinating Old-Growth Conservation Across Scales of Space, Time, and Biodiversity: Lessons from the US Policy Debate.","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Biodiversity conservation; Space (punctuation); Environmental resource management; Scale (ratio); Spacetime; Environmental planning; Geography; Political science; Natural resource economics; Environmental science; Economics; Ecology; Computer science; Biology; Physics; Cartography","score_opus":0.06850857704864827,"score_gpt":0.2496723803626099,"score_spread":0.18116380331396165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409094325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728063,0.00066867383,0.0006329462,0.011027279,0.00015286254,0.00027543766,0.004839046,0.000022510772,0.009574957],"genre_scores_gemma":[0.99199826,0.0012154754,0.0011206219,0.0015708344,0.00007212038,0.000013953792,0.00046135948,0.0000093700155,0.0035380125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881285,0.000027200429,0.0004919652,0.00046260573,0.000029104056,0.00017625245],"domain_scores_gemma":[0.9988576,0.00019716543,0.0005586673,0.00032080125,0.000027793512,0.000037961552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047796048,0.00018637274,0.0004339112,0.00010223465,0.00018814109,0.00009097834,0.00025760525,0.0002254311,0.00019811018],"category_scores_gemma":[0.00016728412,0.00018964108,0.00010429667,0.00009889345,0.00019914554,0.00012281447,0.0008369718,0.00019248603,0.0001458589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007259057,0.00003263952,0.95984703,0.000044843524,0.00013106318,2.2082078e-7,0.00048036428,0.0003353741,0.000018393903,0.03594525,0.002552816,0.00060471665],"study_design_scores_gemma":[0.0004752592,0.000014812445,0.95927846,0.000059514077,0.000023679017,4.1925742e-7,0.00023966703,0.008085354,0.00029271984,0.030165827,0.0011100756,0.00025418255],"about_ca_topic_score_codex":0.03869264,"about_ca_topic_score_gemma":0.0006536619,"teacher_disagreement_score":0.038038976,"about_ca_system_score_codex":0.00017100663,"about_ca_system_score_gemma":0.00003079418,"threshold_uncertainty_score":0.96770877},"labels":[],"label_agreement":null},{"id":"W4409177808","doi":"10.1016/j.jeem.2025.103159","title":"The value of cleaner waterways: Evidence from the Black-and-Odorous water program","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","keywords":"Value (mathematics); Business; Environmental science; Natural resource economics; Environmental economics; Economics; Computer science","score_opus":0.029994458499984264,"score_gpt":0.19713465093067123,"score_spread":0.16714019243068695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409177808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916697,0.0032222925,0.00015324487,0.0028728356,0.00024934617,0.00030924278,0.000021251359,0.0000022976417,0.0014997745],"genre_scores_gemma":[0.9288896,0.06965644,0.00049576367,0.00031211282,0.000043883363,0.000011189468,0.0000031774255,0.000009742521,0.000578091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998825,0.000021720194,0.0007608626,0.00020212917,0.00002667501,0.00016357432],"domain_scores_gemma":[0.9992445,0.00009574026,0.00039167388,0.00022557548,0.000001848685,0.000040639698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008218128,0.00012638338,0.00025407277,0.000050735027,0.00014966015,0.00008723839,0.0002483755,0.00004247202,0.000058087368],"category_scores_gemma":[0.0000056992435,0.00007997443,0.000096949436,0.000015441494,0.00028004855,0.00022217553,0.0002852125,0.00009597034,0.000033199267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043724896,0.00074529863,0.51304895,0.00015855991,0.0028873777,0.000010137899,0.003830509,0.01092481,0.000539939,0.18370456,0.0032514976,0.2804611],"study_design_scores_gemma":[0.0010554142,0.0002290467,0.8328391,0.00007235025,0.00011580528,0.000005431744,0.0014798886,0.0035067385,0.00063321064,0.028514694,0.13134396,0.0002043646],"about_ca_topic_score_codex":0.000058419846,"about_ca_topic_score_gemma":0.000008269231,"teacher_disagreement_score":0.31979012,"about_ca_system_score_codex":0.00013191257,"about_ca_system_score_gemma":0.0000028260756,"threshold_uncertainty_score":0.32612625},"labels":[],"label_agreement":null},{"id":"W4409252540","doi":"10.1007/s12571-025-01535-7","title":"Moving beyond forest cover: Linking forest density, age, and fragmentation to diet","year":2025,"lang":"en","type":"article","venue":"Food Security","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Faculty of Forestry, University of British Columbia; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; National Science Foundation","keywords":"Forest fragmentation; Fragmentation (computing); Forest cover; Cover (algebra); Agroforestry; Social policy; Agriculture; Geography; Natural resource economics; Forestry; Environmental science; Ecology; Economics; Biodiversity; Biology; Archaeology","score_opus":0.03675910956613024,"score_gpt":0.22528317191904149,"score_spread":0.18852406235291125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409252540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825801,0.00041644188,0.004406374,0.00034790262,0.00029272062,0.00026074605,0.000058523907,0.00002270488,0.011614448],"genre_scores_gemma":[0.9981595,0.00009038782,0.00047672036,0.0008783139,0.0000548855,0.000023845258,0.00006936464,0.000010759518,0.00023622012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914235,0.000009739945,0.00031954807,0.0003294615,0.000024737246,0.00017418266],"domain_scores_gemma":[0.9996198,0.000038220172,0.000110437926,0.0001665237,0.0000061602586,0.000058882608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002833154,0.00011127434,0.00020617091,0.00012975838,0.00014530419,0.000088747365,0.00009144882,0.00008131665,0.000056118915],"category_scores_gemma":[0.000035499048,0.00014873783,0.00004648652,0.000096683434,0.000030715542,0.0002186865,0.00015703417,0.000095701966,0.00017074659],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022875181,0.000037950376,0.846913,0.00003780898,0.000034705066,0.0000012301144,0.0007772512,0.0006966788,0.000008674931,0.15068687,0.0004078759,0.000375097],"study_design_scores_gemma":[0.00040818003,0.00018519329,0.72683144,0.000021482547,0.000008603892,5.841444e-7,0.000100159166,0.0028200024,0.000056661,0.26612893,0.003281427,0.00015730866],"about_ca_topic_score_codex":0.00016217458,"about_ca_topic_score_gemma":0.0009874294,"teacher_disagreement_score":0.120081514,"about_ca_system_score_codex":0.00014702814,"about_ca_system_score_gemma":0.0000067833967,"threshold_uncertainty_score":0.60653526},"labels":[],"label_agreement":null},{"id":"W4409359724","doi":"10.1139/facets-2024-0164","title":"What are Canadians willing to pay for bird habitat conservation? A contingent valuation approach","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Wildlife Habitat Canada; Environment and Climate Change Canada; Social Sciences and Humanities Research Council of Canada; Mitacs; Ducks Unlimited Canada","keywords":"Contingent valuation; Valuation (finance); Willingness to pay; Habitat; Economics; Natural resource economics; Geography; Microeconomics; Ecology; Finance; Biology","score_opus":0.1089080227053375,"score_gpt":0.24289922538265085,"score_spread":0.13399120267731335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409359724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79906625,0.0009265364,0.17991054,0.014567045,0.0014161827,0.0014914735,0.00015359731,0.0000613581,0.0024069967],"genre_scores_gemma":[0.98772573,0.00008164875,0.0038415804,0.0038770235,0.000053710282,0.00032763535,0.00007814438,0.00002239184,0.0039921515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900794,0.00001074289,0.0004009776,0.0003498512,0.000022835466,0.0002076501],"domain_scores_gemma":[0.9994945,0.00005116308,0.00017991364,0.00018650926,0.000021576594,0.000066355155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005268101,0.000108633154,0.00022698434,0.00016250128,0.00014288285,0.00012704764,0.00010513669,0.000071666815,0.000042880187],"category_scores_gemma":[0.000113701244,0.00012309823,0.00006615614,0.00011602063,0.000015982687,0.00031271877,0.000024837595,0.000052249245,0.00026399174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014182771,0.00006628026,0.9364159,0.000059915976,0.000076841556,1.3561322e-7,0.0011004991,0.009080552,0.00005122206,0.038791392,0.011790334,0.002552733],"study_design_scores_gemma":[0.0011315461,0.000054293523,0.839007,0.00007062661,0.000020370802,4.5668588e-7,0.0018810693,0.05566427,0.00015022884,0.02160564,0.08006942,0.00034502495],"about_ca_topic_score_codex":0.0010694953,"about_ca_topic_score_gemma":0.0023196635,"teacher_disagreement_score":0.18865944,"about_ca_system_score_codex":0.00033837816,"about_ca_system_score_gemma":0.00002841683,"threshold_uncertainty_score":0.50198007},"labels":[],"label_agreement":null},{"id":"W4409418978","doi":"10.1016/j.forpol.2025.103489","title":"Modeling willingness to continue participation in payments for ecosystem services programs: A case of China's second phase of the grain for green program in indigenous communities","year":2025,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Sichuan Province Science and Technology Support Program; Natural Sciences and Engineering Research Council of Canada; Sichuan Agricultural University; University of Toronto","keywords":"Ecosystem services; Indigenous; China; Payment; Willingness to pay; Phase (matter); Business; Ecosystem; Natural resource economics; Agricultural economics; Public economics; Economics; Environmental resource management; Environmental economics; Economic growth; Ecology; Geography; Finance; Microeconomics","score_opus":0.06838513929734308,"score_gpt":0.30301272637897886,"score_spread":0.23462758708163578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409418978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996117,0.00011566927,0.00059719,0.00013867469,0.000075070886,0.0021873245,0.00065444683,0.0000051697343,0.00010946012],"genre_scores_gemma":[0.9984838,0.00003652674,0.00036106328,0.00006999908,0.000020177831,0.0008889983,0.000069658534,0.000013535549,0.00005624302],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987653,0.00001662163,0.0008125178,0.0001744501,0.000007225858,0.00022386522],"domain_scores_gemma":[0.9994256,0.000047354686,0.00028996967,0.00019501186,0.000010609141,0.00003145696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005592991,0.000117507145,0.0003777194,0.00022391023,0.00008304137,0.000028731532,0.00015123983,0.00008162931,0.000002234683],"category_scores_gemma":[0.000016238651,0.00012612596,0.00007231387,0.00010788989,0.000037233887,0.00016710645,0.00006791153,0.000050175884,5.283956e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017647605,0.00067569176,0.8602678,0.0011667853,0.00007342913,2.941046e-7,0.018234445,0.05487792,0.0000028355234,0.050345995,0.0000017318825,0.014176553],"study_design_scores_gemma":[0.0046127434,0.0005336386,0.08036452,0.00024879005,0.000019914369,0.0000034682912,0.0025793265,0.8514185,0.00010528602,0.059050348,0.00080767844,0.00025580762],"about_ca_topic_score_codex":0.010498698,"about_ca_topic_score_gemma":0.110646784,"teacher_disagreement_score":0.79654056,"about_ca_system_score_codex":0.00015077091,"about_ca_system_score_gemma":0.000030039086,"threshold_uncertainty_score":0.9960905},"labels":[],"label_agreement":null},{"id":"W4409785992","doi":"10.1007/s00267-025-02150-0","title":"Economic Feasibility of a Wetland Certification Program in the Canadian Prairies","year":2025,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; University of Alberta; University of Saskatchewan","funders":"Global Water Futures","keywords":"Wetland; Nature Conservation; Certification; Forest management; Environmental science; Agroforestry; Forestry; Economic analysis; Economic feasibility; Environmental protection; Geography; Ecology; Agricultural economics; Economics; Biology","score_opus":0.062271901985746066,"score_gpt":0.23549499306598215,"score_spread":0.1732230910802361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409785992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92542505,0.00028061357,0.00010912079,0.0018171854,0.0001264081,0.0010578672,0.000057638863,0.000008052662,0.071118064],"genre_scores_gemma":[0.9983932,0.000111756664,0.00028593975,0.0001983061,0.000008429887,0.00018218234,0.00006112245,0.0000058792925,0.0007531798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990808,0.000021617847,0.00042475524,0.00028236315,0.000024918185,0.00016557467],"domain_scores_gemma":[0.99949956,0.000013970461,0.00012611582,0.00033366724,3.523323e-7,0.000026353899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004979213,0.00009458755,0.00015329175,0.00016712659,0.000085808024,0.000032685188,0.00021523183,0.000043852764,0.00024111499],"category_scores_gemma":[0.000003103076,0.00009780134,0.000051832238,0.000058959253,0.00011749636,0.000112371774,0.000050378723,0.0000629002,0.0003316406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006004613,0.00015330584,0.9348038,0.000020925105,0.00002581842,6.0303444e-7,0.00020995115,0.00040612213,0.0000028828115,0.060073074,0.00041438203,0.003883169],"study_design_scores_gemma":[0.00034520475,0.00002763451,0.97126627,0.0000065559893,0.0000068705162,2.3051828e-7,0.00038381715,0.0005658431,0.000022021073,0.010481318,0.016809728,0.000084510495],"about_ca_topic_score_codex":0.011189501,"about_ca_topic_score_gemma":0.044399142,"teacher_disagreement_score":0.072968155,"about_ca_system_score_codex":0.00094195514,"about_ca_system_score_gemma":0.000007681272,"threshold_uncertainty_score":0.99539506},"labels":[],"label_agreement":null},{"id":"W4410020294","doi":"10.1007/s40271-025-00740-y","title":"Identifying and Managing Fraudulent Respondents in Online Stated Preferences Surveys: A Case Example from Best–Worst Scaling in Health Preferences Research","year":2025,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; McGill University Health Centre; University of Calgary","funders":"Canadian Institutes of Health Research; Crohn's and Colitis Canada","keywords":"Survey research; Psychology; Scaling; Actuarial science; Econometrics; Data science; Marketing; Business; Computer science; Economics; Applied psychology; Mathematics","score_opus":0.410840992954211,"score_gpt":0.3597613059114936,"score_spread":0.051079687042717425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410020294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494106,0.0033118073,0.00041810962,0.00014853459,0.00016044949,0.000400756,0.00018149972,0.000008463211,0.00042930563],"genre_scores_gemma":[0.9976161,0.0015386968,0.0004912856,0.000054659627,0.000009409016,0.00004773168,0.00013010086,0.000008705311,0.0001032798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978991,0.00031925403,0.00086305285,0.00053190556,0.00006347395,0.00032320968],"domain_scores_gemma":[0.99930894,0.00022553281,0.0002035876,0.00019044617,0.000010737727,0.000060766513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027413182,0.00011542804,0.000299662,0.0006568029,0.00012814048,0.000087651,0.00011643175,0.000059549428,0.00011366389],"category_scores_gemma":[0.00007224632,0.00013681204,0.000019944484,0.00034157388,0.000054481457,0.00021761304,0.00018517468,0.00024024064,0.00003081823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018624625,0.00020101719,0.9668733,0.000051441675,0.000014500298,0.000013380137,0.005065419,0.0007009481,0.000002760765,0.0005375048,0.000013934995,0.026507208],"study_design_scores_gemma":[0.00077470904,0.00008602461,0.9538006,0.0003235756,0.0000013264123,9.802577e-7,0.00779017,0.008395373,0.000017295308,0.028558297,0.00011656189,0.00013504582],"about_ca_topic_score_codex":0.123824134,"about_ca_topic_score_gemma":0.029329892,"teacher_disagreement_score":0.09449424,"about_ca_system_score_codex":0.0004757743,"about_ca_system_score_gemma":0.00003456809,"threshold_uncertainty_score":0.9883823},"labels":[],"label_agreement":null},{"id":"W4410490129","doi":"10.1002/pan3.70052","title":"Perceptions of nature's contributions to people across an elevational gradient in eastern Nepal","year":2025,"lang":"en","type":"article","venue":"People and Nature","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Context (archaeology); Perception; Conceptual framework; Variety (cybernetics); Psychological intervention; Environmental resource management; Sustainable development; Geography; Sociology; Environmental planning; Regional science; Political science; Social science; Psychology; Economics; Computer science","score_opus":0.015341536882804348,"score_gpt":0.2673678866909604,"score_spread":0.252026349808156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410490129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942933,0.0009166943,0.0006885055,0.0018378944,0.00022599312,0.00018949124,0.0009925191,0.000008229158,0.0008474285],"genre_scores_gemma":[0.9983328,0.00012925887,0.00018783275,0.0006069684,0.000040973446,0.000032237334,0.00018740541,0.0000057433444,0.00047676085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992164,0.0000108568265,0.00030874673,0.00026989094,0.000025040714,0.00016910183],"domain_scores_gemma":[0.99966234,0.00003489612,0.00007654943,0.00015072846,0.000020451454,0.00005501841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002622616,0.00008943594,0.00022387145,0.0001574379,0.00009620014,0.000024924511,0.000096883,0.00023938747,0.00012699746],"category_scores_gemma":[0.0000688699,0.00010606941,0.00004619243,0.0002584607,0.000023358793,0.00017252,0.00005768715,0.00028663018,0.00003312352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013702538,0.00009537807,0.8986469,0.000010362815,0.000013576415,1.1534403e-7,0.001080624,0.00013605563,0.00006792857,0.099313974,0.00023805251,0.00038331945],"study_design_scores_gemma":[0.00047138392,0.00003713633,0.9869682,0.0000098722585,0.0000039087586,9.593025e-7,0.000540746,0.0016552649,0.00004338871,0.008205023,0.0019633872,0.00010069819],"about_ca_topic_score_codex":0.0002963514,"about_ca_topic_score_gemma":0.0040497514,"teacher_disagreement_score":0.09110895,"about_ca_system_score_codex":0.000112161586,"about_ca_system_score_gemma":0.0000146576485,"threshold_uncertainty_score":0.4325385},"labels":[],"label_agreement":null},{"id":"W4410506032","doi":"10.2196/68734","title":"Diagnostic Testing Preferences in Rural and Vulnerable Populations During a Pandemic: Discrete Choice Experiment","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Geography; Psychology; Medicine; Virology; Computer science; Outbreak","score_opus":0.1392572906685854,"score_gpt":0.30739747794443445,"score_spread":0.16814018727584906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410506032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902258,0.0054157795,0.00014099236,0.0015032636,0.00010418179,0.00033655393,0.000021466656,0.000024812645,0.0022271406],"genre_scores_gemma":[0.99819136,0.0008230737,0.00020816426,0.00028643684,0.000028049424,0.00017601086,0.000022217679,0.0000063591406,0.00025833084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885714,0.000056897232,0.00047541814,0.00028313653,0.000020628611,0.00030678435],"domain_scores_gemma":[0.9993137,0.00027721486,0.00015199531,0.00011816161,0.000005667285,0.00013323709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007185669,0.00010390209,0.0002606279,0.00014007016,0.00023377077,0.000081183476,0.000060012426,0.00004928071,0.000026128238],"category_scores_gemma":[0.00054387277,0.00011570262,0.000014428066,0.00016621692,0.000043016906,0.00024112411,0.000057899408,0.00012515121,0.0000068404775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002112708,0.00002059051,0.9897389,0.000055861823,0.0000036531442,1.2421323e-7,0.0003190011,0.000027809921,0.0000027219821,0.0030007614,0.000026662252,0.0068018213],"study_design_scores_gemma":[0.00048046437,0.000028124025,0.9937318,0.000023937868,1.07335175e-7,0.0000013355901,0.00029985947,0.001833023,3.6367405e-7,0.0017843619,0.0017061357,0.00011050104],"about_ca_topic_score_codex":0.0012047241,"about_ca_topic_score_gemma":0.0006083645,"teacher_disagreement_score":0.007965549,"about_ca_system_score_codex":0.0001621386,"about_ca_system_score_gemma":0.000041821688,"threshold_uncertainty_score":0.4718216},"labels":[],"label_agreement":null},{"id":"W4410519275","doi":"10.1111/cobi.70062","title":"Clarifying the role of the resist–accept–direct framework in supporting resource management planning processes","year":2025,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Parks Canada","funders":"","keywords":"Resource (disambiguation); Business; Process management; Environmental resource management; Computer science; Knowledge management; Environmental science","score_opus":0.06211997599710334,"score_gpt":0.2591202756100692,"score_spread":0.19700029961296583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410519275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92590034,0.0023138067,0.0012776126,0.0035865242,0.00013995393,0.00028021107,0.0000108320755,0.000011893597,0.066478804],"genre_scores_gemma":[0.99777985,0.000064936656,0.00031686306,0.0013181078,0.000014440496,0.00004029648,0.000011565029,0.000004563983,0.00044936262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917454,0.000040674975,0.0004621941,0.00018935736,0.000011203361,0.000122006706],"domain_scores_gemma":[0.9992505,0.00020381581,0.00032694286,0.00020516047,0.0000068696745,0.0000067386604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006606891,0.00006331806,0.0001455805,0.00008600898,0.00010880623,0.000013254686,0.00020741574,0.00009175151,0.00006621972],"category_scores_gemma":[0.00025167325,0.000051455216,0.00003258266,0.00025298956,0.00008134739,0.000049342,0.00009703053,0.00011914313,0.000011939011],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065629156,0.000010705546,0.8774614,0.000024615481,0.000016260226,5.918287e-8,0.00029818134,0.0004399088,0.000023888168,0.12049946,0.00016545958,0.001053552],"study_design_scores_gemma":[0.00013880963,0.0000075090484,0.84900314,0.00006237137,0.0000050195335,1.7342491e-7,0.0010629313,0.00090175745,0.00029002584,0.09761638,0.05084997,0.00006193391],"about_ca_topic_score_codex":0.000100276164,"about_ca_topic_score_gemma":0.0000305801,"teacher_disagreement_score":0.0718795,"about_ca_system_score_codex":0.00006113104,"about_ca_system_score_gemma":0.000014117249,"threshold_uncertainty_score":0.20982829},"labels":[],"label_agreement":null},{"id":"W4410584602","doi":"10.2147/ppa.s512755","title":"Preferences for Biologic Treatments: A Discrete Choice Experiment Survey of Canadians with Severe Asthma","year":2025,"lang":"en","type":"article","venue":"Patient Preference and Adherence","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Eagle Ridge Hospital; Memorial University of Newfoundland; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Asthma; Intensive care medicine; Family medicine; Immunology","score_opus":0.14086615897178748,"score_gpt":0.252231644675211,"score_spread":0.1113654857034235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410584602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991328,0.0011247727,0.0011590001,0.00003851187,0.0000782971,0.0005971887,0.0006556132,0.00000975371,0.005008841],"genre_scores_gemma":[0.9979397,0.00023812213,0.00071251433,0.000078477264,0.000004591677,0.00028362716,0.0001319242,0.000006406774,0.0006046158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893785,0.000026255311,0.0003971586,0.00041218646,0.00002458802,0.00020197332],"domain_scores_gemma":[0.9993198,0.00013386823,0.0002683342,0.00019373513,0.000025538333,0.000058708556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015494431,0.00015893081,0.00030648825,0.00007993429,0.00008577829,0.000027069544,0.00013202475,0.00006366676,0.00011170313],"category_scores_gemma":[0.000061665814,0.00013669669,0.000030795447,0.00010468912,0.000096182695,0.0001678945,0.000043279397,0.000046977082,0.000011770802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006574826,0.00008447456,0.98692274,0.000039796596,0.000077744495,7.2575965e-8,0.00042082774,0.00006779998,0.000027419414,0.004683716,0.00008226967,0.007527384],"study_design_scores_gemma":[0.0008962295,0.0011585325,0.9918867,0.00008565084,0.000011155269,4.3703818e-7,0.00031694048,0.00041601548,0.0004851137,0.0039927675,0.0005336871,0.00021680664],"about_ca_topic_score_codex":0.013475082,"about_ca_topic_score_gemma":0.0042849653,"teacher_disagreement_score":0.009190116,"about_ca_system_score_codex":0.00007861365,"about_ca_system_score_gemma":0.000041765958,"threshold_uncertainty_score":0.99309427},"labels":[],"label_agreement":null},{"id":"W4411017843","doi":"10.1136/bmjopen-2024-094587","title":"Understanding preferences of patients with multivessel coronary artery disease towards revascularisation and optimal medical therapy: a protocol for a discrete choice experiment","year":2025,"lang":"en","type":"article","venue":"BMJ Open","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Alberta; Alberta Bone and Joint Health Institute; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates","keywords":"Medicine; Coronary artery disease; Conjoint analysis; Multinomial logistic regression; Protocol (science); CAD; Mixed logit; Logistic regression; Internal medicine; Preference; Alternative medicine; Pathology; Machine learning","score_opus":0.32244503236811745,"score_gpt":0.3732996875673268,"score_spread":0.05085465519920934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411017843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73294544,0.00005160849,0.034721855,0.0005063591,0.000053041942,0.22908507,0.00013833593,0.00000910492,0.0024891712],"genre_scores_gemma":[0.840484,0.0000082191955,0.0010790861,0.000076470635,0.000010491759,0.15817712,0.00004558093,0.000007791776,0.00011122046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926466,0.000019942203,0.00032352336,0.00025309698,0.00004863824,0.00009013363],"domain_scores_gemma":[0.99955064,0.00003963707,0.0002042871,0.00014450666,0.000008280191,0.000052622356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034630843,0.00008735903,0.00020413609,0.00004637059,0.000068573274,0.00004710337,0.00013933746,0.000039033635,0.00016403424],"category_scores_gemma":[0.000048439386,0.00007635352,0.0000313475,0.000033897864,0.00006670813,0.00028185576,0.00010915135,0.00003129095,0.0000017448555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011150263,0.00022478256,0.9879629,0.00012362898,0.00012260175,2.0119866e-7,0.0005237019,0.000097191965,0.0000015239796,0.00797467,0.0000980004,0.0017557578],"study_design_scores_gemma":[0.0055108676,0.00022676091,0.9856117,0.00014564981,0.000006808281,7.87303e-8,0.00025644002,0.004671952,0.000028208658,0.0028007042,0.0006166361,0.00012419088],"about_ca_topic_score_codex":0.000057152276,"about_ca_topic_score_gemma":0.000009459434,"teacher_disagreement_score":0.107538566,"about_ca_system_score_codex":0.00010994096,"about_ca_system_score_gemma":0.00005777652,"threshold_uncertainty_score":0.31136063},"labels":[],"label_agreement":null},{"id":"W4411042657","doi":"10.1038/s44264-025-00078-w","title":"Guiding policies for agricultural nitrous oxide emission reduction with behavioral insights and experimentation","year":2025,"lang":"en","type":"review","venue":"npj Sustainable Agriculture","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council; Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Grain Farmers of Ontario","keywords":"Nitrous oxide; Agriculture; Reduction (mathematics); Environmental science; Business; Ecology; Biology","score_opus":0.07489734271858614,"score_gpt":0.2757089341821629,"score_spread":0.20081159146357677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411042657","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019061767,0.9761713,0.00018895911,0.00005848077,0.00014053502,0.0019741526,0.000067155604,0.00005295693,0.0022846886],"genre_scores_gemma":[0.0038624231,0.9671853,0.00058720703,0.0000337777,0.00023819532,0.00096136343,0.0011294184,0.000036468224,0.025965812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99823964,0.000027916118,0.000669068,0.00064268115,0.000045074736,0.00037561054],"domain_scores_gemma":[0.9989959,0.000034772416,0.0006437955,0.00018321432,0.000055665227,0.00008664867],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014832857,0.00043565294,0.0009955287,0.00022075749,0.00040453015,0.00018482505,0.00014749108,0.0003911225,0.000011213695],"category_scores_gemma":[0.000021275662,0.00030511004,0.00020754639,0.00029312828,0.000047781137,0.0005184807,0.000085728425,0.00015197601,0.000010967971],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000206577,0.0018772209,0.0019824144,0.10304202,0.002072634,0.00005019777,0.015726322,0.0005106171,0.00047884492,0.5518673,0.09764877,0.2245371],"study_design_scores_gemma":[0.000701587,0.00023606904,0.00068109715,0.0018351503,0.00043447944,0.00005373456,0.014995493,0.000004777926,0.00009341079,0.0016300585,0.978423,0.0009111387],"about_ca_topic_score_codex":0.00032557076,"about_ca_topic_score_gemma":0.000006897762,"teacher_disagreement_score":0.88077426,"about_ca_system_score_codex":0.00095121533,"about_ca_system_score_gemma":0.000046990932,"threshold_uncertainty_score":0.9999401},"labels":[],"label_agreement":null},{"id":"W4411068481","doi":"10.1007/s10640-025-01005-w","title":"A Stated Preference Study to Explore Market-Based Instruments to Reduce Car Usage","year":2025,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Liverpool John Moores University; Queen's University; Queen's University Belfast; Cranfield University; UK Prevention Research Partnership; University of Glasgow; University of Exeter","keywords":"Willingness to pay; Contingent valuation; Mixed logit; Discrete choice; Incentive; Valuation (finance); Congestion pricing; Value of time; Welfare; Willingness to accept; Economics; Business; Public transport; Environmental economics; Revealed preference; Value (mathematics); Preference; Public economics; Logistic regression; Traffic congestion; Microeconomics; Econometrics; Travel time; Transport engineering; Finance; Computer science","score_opus":0.0764970698045176,"score_gpt":0.21477957012599153,"score_spread":0.13828250032147393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411068481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881976,0.0001227277,0.00020725778,0.0005543435,0.00017921063,0.0010019414,0.00017495296,0.000027388689,0.009534538],"genre_scores_gemma":[0.9919578,0.00007710135,0.000517935,0.0015092716,0.000033368957,0.00014669266,0.000045747827,0.000031964995,0.005680149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981122,0.000036214307,0.00064943807,0.00082407397,0.0000324461,0.00034561893],"domain_scores_gemma":[0.99913746,0.000032776745,0.00015739886,0.0004351883,0.0000012469085,0.00023592639],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044067547,0.00027366358,0.0003984844,0.0002691039,0.00020151559,0.0000873927,0.00026761234,0.000081833,0.00075075414],"category_scores_gemma":[0.000014681462,0.00033472633,0.00006636656,0.00008465765,0.00007391808,0.00015166878,0.00031860077,0.00014251666,0.00080869196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024650147,0.0009025835,0.9763693,0.000021653834,0.00015877752,0.0000024124854,0.0034026867,0.0046664407,0.00030050258,0.0005547932,0.0020573975,0.011316934],"study_design_scores_gemma":[0.0018131223,0.00044759412,0.9350853,0.000022352753,0.00001997039,0.000001192976,0.0043670586,0.0021282919,0.00064570684,0.0007171795,0.05422131,0.0005308946],"about_ca_topic_score_codex":0.000099571924,"about_ca_topic_score_gemma":0.00002103947,"teacher_disagreement_score":0.052163914,"about_ca_system_score_codex":0.00051605055,"about_ca_system_score_gemma":0.000012123722,"threshold_uncertainty_score":0.9999693},"labels":[],"label_agreement":null},{"id":"W4411226904","doi":"10.1080/10888705.2025.2515856","title":"The Value of a Statistical Life of a Cat: Owner Demographics and Management Practices Impacting Willingness to Pay for Welfare Measures","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Animal Welfare Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Demographics; Welfare; Willingness to pay; Value (mathematics); Business; Actuarial science; Public economics; Demographic economics; Economics; Statistics; Demography; Mathematics; Microeconomics; Sociology; Market economy","score_opus":0.04716346716364481,"score_gpt":0.27627498738315265,"score_spread":0.22911152021950784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411226904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766596,0.00029052643,0.0132859675,0.0068311193,0.0001881263,0.00040643,0.000050850093,0.0000033076633,0.00228409],"genre_scores_gemma":[0.99064404,0.00026104425,0.008951596,0.00009512533,0.000020491529,0.000010302092,4.097131e-7,0.0000054401316,0.000011575552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99879885,0.00000832091,0.000708212,0.00019836368,0.000106694155,0.00017957517],"domain_scores_gemma":[0.9983109,0.00014613496,0.0012697603,0.00012212129,0.00006247736,0.00008859724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002695978,0.00008662913,0.00026848874,0.000203626,0.0003396848,0.00006822862,0.00029695933,0.000031887015,0.000007982718],"category_scores_gemma":[0.00042500917,0.000055832752,0.000055422817,0.0003037031,0.0002370791,0.0001937327,0.0000907499,0.00007763015,6.9501243e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031343402,0.00005748487,0.046079457,0.00012323444,0.00008994567,4.1108981e-7,0.0003529216,0.0011409738,0.00094612146,0.94315183,0.000060453905,0.007683761],"study_design_scores_gemma":[0.0006243809,0.00034954402,0.9678631,0.000049783368,0.00006124213,0.0000033915221,0.0036057804,0.0040565636,0.000731388,0.011318925,0.011185594,0.00015031229],"about_ca_topic_score_codex":0.000029251358,"about_ca_topic_score_gemma":0.000008230115,"teacher_disagreement_score":0.93183285,"about_ca_system_score_codex":0.00008599246,"about_ca_system_score_gemma":0.000049091443,"threshold_uncertainty_score":0.26126152},"labels":[],"label_agreement":null},{"id":"W4411241708","doi":"10.1016/j.ocecoaman.2025.107797","title":"Does individuals' expected policy utility drive watershed ecological compensation in China's Xin'an river basin pilot?","year":2025,"lang":"en","type":"article","venue":"Ocean & Coastal Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Social Science Foundation of Jiangsu Province","keywords":"Watershed; China; Structural basin; Compensation (psychology); Environmental science; Drainage basin; Water resource management; Geography; Ecology; Geology; Biology; Psychology; Geomorphology; Computer science; Archaeology; Cartography","score_opus":0.035994343412288,"score_gpt":0.22700060213125492,"score_spread":0.19100625871896693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411241708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9570406,0.0000144653595,0.0012345439,0.0012697239,0.00023360053,0.00057896465,0.00009821332,0.000050377228,0.039479513],"genre_scores_gemma":[0.99603724,0.000075661395,0.0007758887,0.00048563833,0.000041921114,0.000028517152,0.0002558807,0.00001361423,0.0022856551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837583,0.00006491668,0.0006016249,0.0005900705,0.00004882006,0.00031870673],"domain_scores_gemma":[0.99938583,0.000023604149,0.00018353859,0.00033766642,0.0000057816983,0.00006355125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055486895,0.0001973149,0.00032868618,0.0004328174,0.00011603703,0.000077960234,0.00024527332,0.00007233146,0.000713717],"category_scores_gemma":[0.000022881959,0.00018060175,0.00006750537,0.00023212454,0.00011568975,0.00033367006,0.00032570315,0.0001232141,0.0002229167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003875763,0.0006423583,0.8632007,0.00003409836,0.00006868824,0.0000045724973,0.0007438984,0.00037813993,0.0000036990696,0.13163881,0.0004890317,0.002757235],"study_design_scores_gemma":[0.0011847004,0.000104917766,0.94586784,0.0000122433985,0.000009691309,1.808887e-7,0.000596897,0.0017129919,0.000023947528,0.04736189,0.0029234677,0.00020120575],"about_ca_topic_score_codex":0.0009513967,"about_ca_topic_score_gemma":0.00031644217,"teacher_disagreement_score":0.084276915,"about_ca_system_score_codex":0.00041245768,"about_ca_system_score_gemma":0.000009916792,"threshold_uncertainty_score":0.78147006},"labels":[],"label_agreement":null},{"id":"W4411264734","doi":"10.1016/j.josfa.2025.100020","title":"Mapping biodiversity risk metrics in finance: A comparative analysis of MSCI and LSEG using the ENCORE framework","year":2025,"lang":"en","type":"article","venue":"Journal of Sustainable Finance and Accounting","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Desjardins; Centre de Santé et de Services Sociaux Cavendish; Université du Québec à Montréal","funders":"","keywords":"Computer science; Business","score_opus":0.05105900288162189,"score_gpt":0.2447216410949624,"score_spread":0.1936626382133405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411264734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834248,0.009521793,0.006428746,0.0001382657,0.000058580717,0.000098564786,0.000015507938,0.0000011672571,0.0003125624],"genre_scores_gemma":[0.993802,0.0043421653,0.0016929375,0.000070837086,0.0000164639,0.0000011729447,8.656175e-7,0.0000020120985,0.00007151396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989584,0.00002087981,0.00062776596,0.00016847331,0.0000381941,0.00018625864],"domain_scores_gemma":[0.9984573,0.00018479636,0.0011796631,0.00010604334,0.000060275557,0.000011880311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001464649,0.000097476135,0.0005154093,0.0009430408,0.00021853347,0.00006326136,0.00013136078,0.00007574137,0.000009809747],"category_scores_gemma":[0.00018915825,0.000091439644,0.00009365583,0.0015415113,0.00010821233,0.0005175504,0.00011290549,0.0002521316,6.100397e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014065261,0.000026353318,0.97153544,0.000035851055,0.00014730165,0.000004928626,0.0021432124,0.011390315,0.0000031174625,0.014072663,0.000034359666,0.00059239415],"study_design_scores_gemma":[0.00034466406,0.00002405524,0.94146717,0.00007250159,0.00010648572,0.0000018838375,0.018488485,0.026139803,0.000019567357,0.011596585,0.0016402904,0.0000985178],"about_ca_topic_score_codex":0.000488468,"about_ca_topic_score_gemma":0.000012827127,"teacher_disagreement_score":0.030068276,"about_ca_system_score_codex":0.00017709787,"about_ca_system_score_gemma":0.00003218619,"threshold_uncertainty_score":0.37288007},"labels":[],"label_agreement":null},{"id":"W4411316975","doi":"10.1186/s12955-025-02391-x","title":"Optimal DCE design for modelling nonlinear time preferences in EQ-5D-5L valuation studies: exploration of data from Denmark and Peru","year":2025,"lang":"en","type":"article","venue":"Health and Quality of Life Outcomes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"EuroQol Research Foundation; University of Technology Sydney","keywords":"EQ-5D; Time-trade-off; Valuation (finance); Quality of Life Research; Quality-adjusted life year; Health related quality of life; Nonlinear system; Quality of life (healthcare); Econometrics; Actuarial science; Computer science; Economics; Statistics; MEDLINE; Psychology; Mathematics; Medicine; Political science; Public health; Cost effectiveness; Psychotherapist; Nursing; Accounting","score_opus":0.7292686097560684,"score_gpt":0.4082767682757049,"score_spread":0.3209918414803635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411316975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8398061,0.006100407,0.15216981,0.0011367933,0.00004937892,0.00039413976,0.0003098908,0.0000033190904,0.000030160383],"genre_scores_gemma":[0.9194595,0.004901921,0.074786074,0.00043813873,0.000020403886,0.000029873976,0.00024221416,0.000006384502,0.000115491785],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854296,0.000080032725,0.0009521263,0.0002879663,0.00003178141,0.00010515084],"domain_scores_gemma":[0.99864423,0.00063205697,0.00047679496,0.00018644861,0.000015659536,0.000044782246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025335636,0.00008378701,0.00053442945,0.00009602649,0.00005837963,0.0000106282405,0.000084552914,0.000050857045,0.0000127590965],"category_scores_gemma":[0.00034027125,0.00008964111,0.00002344457,0.00004630612,0.000052306757,0.00042797142,0.000059134814,0.00003980318,0.000004171051],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016958397,0.00010937568,0.9703736,0.00062055734,0.00010495006,1.0466759e-8,0.004512546,0.016256476,0.0000047056224,0.005679765,0.000112871145,0.0020555651],"study_design_scores_gemma":[0.0021366726,0.00018986272,0.31263974,0.00011285026,0.000015522459,2.264056e-8,0.0042246943,0.64821994,0.000021036576,0.032121804,0.00013537648,0.00018246904],"about_ca_topic_score_codex":0.0007808705,"about_ca_topic_score_gemma":0.000092554765,"teacher_disagreement_score":0.65773386,"about_ca_system_score_codex":0.000045853805,"about_ca_system_score_gemma":0.000064493375,"threshold_uncertainty_score":0.3655458},"labels":[],"label_agreement":null},{"id":"W4411415258","doi":"10.2305/iakq4577","title":"Assessing recreational use value in British Columbia's largest urban Park","year":2025,"lang":"en","type":"article","venue":"PARKS","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Geography; Public park; Value (mathematics); Economic surplus; Coronavirus disease 2019 (COVID-19); Agricultural economics; Socioeconomics; Environmental planning; Ecology; Political science; Sociology; Economics","score_opus":0.07026025753568865,"score_gpt":0.23257000339780837,"score_spread":0.16230974586211971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411415258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687564,0.00067359355,0.0011453461,0.00010985879,0.00027192314,0.00013027314,0.000047004753,0.000015533775,0.028850116],"genre_scores_gemma":[0.99289674,0.00019735139,0.00087500573,0.00036599522,0.0000395238,0.000035294976,0.000089553614,0.000010078651,0.005490448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990935,0.000020889645,0.0004033062,0.00029480373,0.000018199577,0.00016935478],"domain_scores_gemma":[0.9996276,0.00007836739,0.00011514159,0.00014276353,0.0000046370546,0.000031525215],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043685822,0.00005822101,0.0001892521,0.00006687447,0.000092574905,0.00052744214,0.000085447566,0.0000863481,0.0009192068],"category_scores_gemma":[0.00010987656,0.00012373427,0.0000477139,0.00011935561,0.00003465964,0.0005496219,0.00003750187,0.00010555364,0.00017227742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.8140956e-7,0.000057307967,0.98756224,0.000006034638,0.000011879742,0.000001629556,0.00001833708,0.0004000163,0.000003094327,0.006492173,0.0043570586,0.0010893743],"study_design_scores_gemma":[0.00037762016,0.0000054767834,0.9730798,0.00004215706,0.000002904788,0.0000011340784,0.00003651171,0.0046744035,0.0000031850027,0.009355246,0.012303073,0.00011850196],"about_ca_topic_score_codex":0.01927886,"about_ca_topic_score_gemma":0.0064583966,"teacher_disagreement_score":0.024140399,"about_ca_system_score_codex":0.0002427801,"about_ca_system_score_gemma":0.00001835466,"threshold_uncertainty_score":0.9999941},"labels":[],"label_agreement":null},{"id":"W4411467832","doi":"10.1016/j.ocecoaman.2025.107821","title":"How environmental fairness concerns impact the effectiveness of watershed ecological compensation mechanisms?","year":2025,"lang":"en","type":"article","venue":"Ocean & Coastal Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"National Social Science Fund of China; Social Science Foundation of Jiangsu Province","keywords":"Watershed; Compensation (psychology); Environmental science; Environmental resource management; Ecology; Business; Natural resource economics; Environmental planning; Environmental protection; Economics; Psychology; Computer science; Biology","score_opus":0.032750593153348016,"score_gpt":0.2128972740656796,"score_spread":0.18014668091233157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411467832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9457656,0.000073685114,0.0390937,0.00034806345,0.00024138152,0.0007638892,0.00013031656,0.000019698295,0.013563658],"genre_scores_gemma":[0.9984058,0.00006511052,0.0001448297,0.00007527924,0.000013177421,0.00002582254,0.0001223202,0.000011259513,0.0011363887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990398,0.00007999755,0.00031161882,0.0003272239,0.000046086447,0.00019527286],"domain_scores_gemma":[0.99942523,0.000079061385,0.00019365732,0.00026918773,0.0000030341928,0.000029839248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008310289,0.00015760395,0.00028195113,0.0000976743,0.00010681741,0.00006198127,0.00022323309,0.0000546624,0.00025311293],"category_scores_gemma":[0.0000080040745,0.00013094654,0.00013992738,0.00007706359,0.00011616941,0.0001663707,0.00024806737,0.000072557676,0.00007634351],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014530428,0.00033693048,0.23269661,0.00014983155,0.00041008153,0.00000371475,0.0001311977,0.0032018642,0.0004342667,0.76051974,0.00032635542,0.0016441237],"study_design_scores_gemma":[0.001007452,0.00013113499,0.93529433,0.000019410503,0.000031384927,6.438907e-7,0.00083375897,0.0013803669,0.00081214873,0.05952904,0.00080197735,0.00015835933],"about_ca_topic_score_codex":0.0000458472,"about_ca_topic_score_gemma":0.000006027612,"teacher_disagreement_score":0.70259774,"about_ca_system_score_codex":0.00028143168,"about_ca_system_score_gemma":0.0000033976137,"threshold_uncertainty_score":0.5339845},"labels":[],"label_agreement":null},{"id":"W4412079466","doi":"10.1016/j.jval.2025.06.015","title":"Strong Preferences or Simplifying Heuristics? Using Internal Validity Tests and Latent Class Analysis to Better Understand Stated Preference Survey Results. A Case Example in Health Preferences Research","year":2025,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Crohn's and Colitis Canada; McMaster University","keywords":"Latent class model; Heuristics; Preference; Class (philosophy); Internal validity; Econometrics; Psychology; Computer science; Data science; Social psychology; Statistics; Machine learning; Artificial intelligence; Mathematics","score_opus":0.7731893391534402,"score_gpt":0.4203014965966582,"score_spread":0.352887842556782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412079466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99346274,0.00045711777,0.0035213984,0.000660065,0.00011501885,0.0007223351,0.0008476386,0.0000130002045,0.00020068657],"genre_scores_gemma":[0.9971949,0.00080316374,0.0015122803,0.00024218517,0.000015738948,0.000024037765,0.0001007524,0.000012838965,0.00009412527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957363,0.00093825086,0.0016702677,0.0008835359,0.0001060852,0.0006655371],"domain_scores_gemma":[0.99782795,0.0011307074,0.0004558508,0.00034566727,0.00003301267,0.00020680016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009261741,0.00019868463,0.0006910805,0.0012534544,0.00024128401,0.00015030941,0.00020895115,0.000101639554,0.000038024147],"category_scores_gemma":[0.0005404945,0.00020754784,0.000037162474,0.0013209576,0.0000967634,0.00021130666,0.00020141352,0.0004317062,0.000009254881],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015253879,0.000100848636,0.9384523,0.00017393004,0.000058167283,0.000008669355,0.0017631864,0.057320017,6.392169e-7,0.0008744386,0.00006466083,0.0010305848],"study_design_scores_gemma":[0.0007507727,0.00030103108,0.8790221,0.00019785785,0.000005823656,0.0000032400108,0.000833524,0.11280021,0.0000026882706,0.0058421893,0.00006485541,0.00017568885],"about_ca_topic_score_codex":0.28479573,"about_ca_topic_score_gemma":0.07780329,"teacher_disagreement_score":0.20699245,"about_ca_system_score_codex":0.0017932791,"about_ca_system_score_gemma":0.00027752473,"threshold_uncertainty_score":0.9390244},"labels":[],"label_agreement":null},{"id":"W4412261396","doi":"","title":"Documentation of the Stated Choice Experiment water quality valuation survey used in the Legacies of Agricultural Pollutants (LEAP) project","year":2021,"lang":"en","type":"report","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Innovationsfonden","keywords":"Valuation (finance); Documentation; Agriculture; Pollutant; Water quality; Environmental science; Agricultural economics; Business; Economics; Geography; Computer science; Accounting; Archaeology; Chemistry","score_opus":0.3961391101955801,"score_gpt":0.34971217454057874,"score_spread":0.04642693565500139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412261396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95557505,0.0023798507,0.000079255085,0.00031292698,0.000113954324,0.0014196527,0.0009852949,0.0000040398986,0.03912996],"genre_scores_gemma":[0.87744,0.0009851634,0.000040456456,0.0000055531973,0.000010857147,7.079561e-7,0.0004292721,0.00001183585,0.12107615],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.995984,0.0018224089,0.00068055466,0.00046888224,0.0007040661,0.00034009427],"domain_scores_gemma":[0.99707884,0.0005213904,0.0012186775,0.00073798205,0.00039935697,0.000043768614],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008955911,0.00021138124,0.0007694642,0.00022413362,0.00046886367,0.00003083305,0.0012355092,0.00020618984,0.05372902],"category_scores_gemma":[0.00023874783,0.00016471405,0.00031587906,0.00066351425,0.0007041209,0.0005242748,0.00073729816,0.00036373382,0.0013055684],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016107406,0.0019861262,0.02825899,0.0019816074,0.0027233113,0.000027037651,0.13812536,0.0034987817,0.036607254,0.0011475027,0.7821576,0.0018757221],"study_design_scores_gemma":[0.0011977345,0.000136496,0.9287986,0.00010642085,0.000059771275,0.0000018253419,0.029402133,0.00005502593,0.0073601925,0.000016141938,0.0326611,0.00020451748],"about_ca_topic_score_codex":0.050839428,"about_ca_topic_score_gemma":0.012721669,"teacher_disagreement_score":0.90053964,"about_ca_system_score_codex":0.0011404823,"about_ca_system_score_gemma":0.00044925467,"threshold_uncertainty_score":0.999472},"labels":[],"label_agreement":null},{"id":"W4412460004","doi":"10.1002/csr.70074","title":"The Impact of Population Size on Climate Performance Measurement Practices","year":2025,"lang":"en","type":"article","venue":"Corporate Social Responsibility and Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Environment and Climate Change Canada; University of Waterloo; Mitacs; Government of Canada","keywords":"Business; Population; Climate change; Natural resource economics; Environmental resource management; Environmental science; Economics","score_opus":0.12305420461796278,"score_gpt":0.26533251432845983,"score_spread":0.14227830971049704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412460004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99063396,0.00031800263,0.000026583293,0.00027045872,0.00010208089,0.00040897945,0.000043984302,0.00000947796,0.008186447],"genre_scores_gemma":[0.9978733,0.0014747909,0.00004806373,0.000062587336,0.00001440265,0.00003253962,0.000019322631,0.00000792655,0.0004670552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988441,0.000067501416,0.00048816967,0.00033096148,0.00007805564,0.00019120835],"domain_scores_gemma":[0.9987652,0.00009756025,0.00085975305,0.0002447675,0.0000033304168,0.000029416376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019179215,0.0001376813,0.00020516435,0.0000597236,0.0004437493,0.000042664127,0.000116165844,0.00005553528,0.000064394204],"category_scores_gemma":[0.0000765082,0.00012209061,0.0000994843,0.00008410615,0.00016622861,0.0001674201,0.00013134714,0.00008631144,0.00004851749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057873136,0.00021072131,0.955488,0.000057292516,0.00014549529,4.0349434e-7,0.00011948618,0.00040937864,0.00009359631,0.029146634,0.00012147506,0.013628763],"study_design_scores_gemma":[0.00043571516,0.00013277133,0.9837371,0.000013504171,0.000016055994,1.3339478e-7,0.0002917234,0.0007563615,0.000040704675,0.014092244,0.0003791836,0.00010451777],"about_ca_topic_score_codex":0.000089667745,"about_ca_topic_score_gemma":0.000008960333,"teacher_disagreement_score":0.028249063,"about_ca_system_score_codex":0.0006590877,"about_ca_system_score_gemma":0.000005536187,"threshold_uncertainty_score":0.49787107},"labels":[],"label_agreement":null},{"id":"W4412555233","doi":"10.1002/hsr2.71066","title":"Comparative Analysis of Preferences and Willingness to Pay for COVID‐19 Vaccine Among Individuals With and Without Chronic Diseases: A Discrete Choice Experiment Approach","year":2025,"lang":"en","type":"article","venue":"Health Science Reports","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"University Grants Commission; University of Chittagong; University Grants Commission of Bangladesh","keywords":"Willingness to pay; Mixed logit; Preference; Conjoint analysis; Vaccination; Environmental health; Medicine; Vaccine efficacy; Public health; Logistic regression; Immunology; Economics","score_opus":0.10081917006305989,"score_gpt":0.34619767985146566,"score_spread":0.24537850978840575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412555233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801192,0.0015464087,0.01679546,0.00027358558,0.00004232711,0.00089570344,0.000053779426,0.000007840584,0.000265661],"genre_scores_gemma":[0.99751025,0.00012230233,0.0018815219,0.0001555604,0.000008864365,0.00021947772,0.000027721702,0.0000031195623,0.00007119643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985047,0.000009558819,0.0005862986,0.0006178472,0.00006071313,0.00022087416],"domain_scores_gemma":[0.9988665,0.000036400113,0.0006039155,0.00022551074,0.000016147116,0.00025155168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010882347,0.000108311106,0.0005411444,0.00032779996,0.0002570532,0.000058117985,0.00008289983,0.000022670207,0.000010784227],"category_scores_gemma":[0.00004711946,0.00008594803,0.000028755627,0.0005939731,0.00020150508,0.0002552418,0.00006834465,0.000035115198,1.9809735e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008013032,0.000033542867,0.99419266,0.00008983055,0.000076601915,6.1326816e-8,0.001238351,0.0030945768,0.0000031877175,0.0010815699,0.000015165489,0.00016646837],"study_design_scores_gemma":[0.00026544573,0.00015974225,0.9865775,0.000025017533,0.00005082343,0.0000011520553,0.0005048729,0.011363846,0.000032223823,0.0005378283,0.00037702592,0.00010449458],"about_ca_topic_score_codex":0.00077712943,"about_ca_topic_score_gemma":0.00021709595,"teacher_disagreement_score":0.017391002,"about_ca_system_score_codex":0.00026821689,"about_ca_system_score_gemma":0.00023370644,"threshold_uncertainty_score":0.35048586},"labels":[],"label_agreement":null},{"id":"W4412664083","doi":"10.31219/osf.io/c7fek_v3","title":"Coordinating Old-Growth Conservation Across Scales of Space, Time, and Biodiversity: Lessons from the US Policy Debate.","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Biodiversity conservation; Space (punctuation); Environmental resource management; Scale (ratio); Natural resource economics; Geography; Economics; Ecology; Biology; Computer science; Cartography","score_opus":0.06850857704864827,"score_gpt":0.2496723803626099,"score_spread":0.18116380331396165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412664083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728063,0.00066867383,0.0006329462,0.011027279,0.00015286254,0.00027543766,0.004839046,0.000022510772,0.009574957],"genre_scores_gemma":[0.99199826,0.0012154754,0.0011206219,0.0015708344,0.00007212038,0.000013953792,0.00046135948,0.0000093700155,0.0035380125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881285,0.000027200429,0.0004919652,0.00046260573,0.000029104056,0.00017625245],"domain_scores_gemma":[0.9988576,0.00019716543,0.0005586673,0.00032080125,0.000027793512,0.000037961552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047796048,0.00018637274,0.0004339112,0.00010223465,0.00018814109,0.00009097834,0.00025760525,0.0002254311,0.00019811018],"category_scores_gemma":[0.00016728412,0.00018964108,0.00010429667,0.00009889345,0.00019914554,0.00012281447,0.0008369718,0.00019248603,0.0001458589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007259057,0.00003263952,0.95984703,0.000044843524,0.00013106318,2.2082078e-7,0.00048036428,0.0003353741,0.000018393903,0.03594525,0.002552816,0.00060471665],"study_design_scores_gemma":[0.0004752592,0.000014812445,0.95927846,0.000059514077,0.000023679017,4.1925742e-7,0.00023966703,0.008085354,0.00029271984,0.030165827,0.0011100756,0.00025418255],"about_ca_topic_score_codex":0.03869264,"about_ca_topic_score_gemma":0.0006536619,"teacher_disagreement_score":0.038038976,"about_ca_system_score_codex":0.00017100663,"about_ca_system_score_gemma":0.00003079418,"threshold_uncertainty_score":0.96770877},"labels":[],"label_agreement":null},{"id":"W4412749461","doi":"10.2519/jospt.2025.13409","title":"People Strongly Value Physical Therapies for Low Back Pain Over Doing Nothing, Even When Effects Are Very Small: A Discrete Choice Experiment","year":2025,"lang":"en","type":"article","venue":"Journal of Orthopaedic and Sports Physical Therapy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Nothing; Value (mathematics); Psychology; Medicine; Physical therapy; Statistics; Philosophy; Epistemology; Mathematics","score_opus":0.02229777472178923,"score_gpt":0.23775792515373284,"score_spread":0.2154601504319436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412749461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98442376,0.0028357287,0.01127164,0.0005221435,0.00030902162,0.0003602676,0.000014376135,0.000008680125,0.00025441055],"genre_scores_gemma":[0.9971604,0.00059138454,0.00066634873,0.0005864128,0.0006075663,0.000030023119,0.0000061643477,0.000027836646,0.0003238976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988129,0.000041061783,0.0005288023,0.00029306524,0.00008160277,0.00024256718],"domain_scores_gemma":[0.9987082,0.0003403822,0.00066459476,0.00017229379,0.000018103892,0.00009642312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065458857,0.00022781952,0.0006917583,0.000105957064,0.00011767076,0.00006652047,0.00013693185,0.00006694974,0.000051321782],"category_scores_gemma":[0.000037023136,0.00019928266,0.0004151328,0.00006730202,0.00006725472,0.00029941712,0.0000325074,0.00019072369,0.000004617472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006514984,0.0014888546,0.90748996,0.0003387935,0.00092191715,0.000009518791,0.015007472,0.0015623164,0.0012719786,0.013669875,0.0011929083,0.056394894],"study_design_scores_gemma":[0.0066007352,0.0010458208,0.92527497,0.00040997766,0.00005255512,0.0000032367134,0.00079871574,0.015101382,0.0006288146,0.023343712,0.026188714,0.0005513393],"about_ca_topic_score_codex":0.00003122383,"about_ca_topic_score_gemma":0.0000024686344,"teacher_disagreement_score":0.055843554,"about_ca_system_score_codex":0.000104581195,"about_ca_system_score_gemma":0.000025273905,"threshold_uncertainty_score":0.81265104},"labels":[],"label_agreement":null},{"id":"W4412765734","doi":"10.3389/fpubh.2025.1575121","title":"Study on the behavioral decision of multiple subjects of agricultural green production under the double carbon target in China","year":2025,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity Western University; Western University","funders":"National Office for Philosophy and Social Sciences","keywords":"Subsidy; Business; Government (linguistics); Agriculture; Incentive; Production (economics); Environmental economics; Procurement; Agricultural productivity; Natural resource economics; Carbon price; Greenhouse gas; Economics; Marketing; Microeconomics; Market economy; Ecology","score_opus":0.10184957127934594,"score_gpt":0.2687079410710686,"score_spread":0.16685836979172267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412765734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99196684,0.00025843672,0.0002568803,0.005001119,0.00074656995,0.00086913665,0.000011268647,0.00000442422,0.0008853059],"genre_scores_gemma":[0.9994138,0.00005582602,0.0001873347,0.000081672915,0.000018043282,0.000056272467,0.000011294359,0.000005770732,0.0001700113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987997,0.00007661997,0.00063225406,0.0002497208,0.000050151626,0.00019159254],"domain_scores_gemma":[0.99935234,0.000034713736,0.00030540177,0.0002757622,0.000008001816,0.000023754903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843042,0.00008991697,0.00028707064,0.00024682173,0.00006141488,0.00001238088,0.00019909027,0.000048880993,0.000010814518],"category_scores_gemma":[0.00004263124,0.000063102045,0.000040578332,0.00040659631,0.000056800767,0.00011586142,0.000047771144,0.0001630837,0.000002057621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022615262,0.0004510332,0.9916104,0.000008563172,0.000012722117,5.1976134e-8,0.0023209152,0.0011453241,0.0000026820187,0.0030051654,0.0005580477,0.00086247065],"study_design_scores_gemma":[0.00076738826,0.00010939808,0.9886032,0.0000147519995,0.0000014035863,1.0709199e-7,0.006942086,0.0004884696,0.000028064838,0.0028847673,0.0001065353,0.000053835254],"about_ca_topic_score_codex":0.0057169087,"about_ca_topic_score_gemma":0.0009366684,"teacher_disagreement_score":0.0074469154,"about_ca_system_score_codex":0.00048283706,"about_ca_system_score_gemma":0.00005188488,"threshold_uncertainty_score":0.86422944},"labels":[],"label_agreement":null},{"id":"W4412864269","doi":"10.1111/conl.13109","title":"Stakeholder Consensus on Conservation Priorities Across Scientific, NGO, and Governmental Sectors","year":2025,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agencia Estatal de Investigación; General Secretariat for Research and Technology; Danmarks Grundforskningsfond; Agence Nationale de la Recherche; Directorate-General XII, Science, Research, and Development; National Research Foundation; Fundación Biodiversidad; European Commission; Biodiversa+; Innovationsfonden","keywords":"Stakeholder; Business; Environmental planning; Environmental resource management; Nature Conservation; Marine protected area; Political science; Geography; Public relations; Ecology; Economics; Biology","score_opus":0.11872254079089783,"score_gpt":0.23243824288291998,"score_spread":0.11371570209202214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412864269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737358,0.00016884152,0.00062046485,0.021447098,0.0007873192,0.0002858644,0.00019418144,0.00004113327,0.002719294],"genre_scores_gemma":[0.9792426,0.000019693662,0.0003300976,0.017528785,0.000034319073,0.00003119645,0.00006784202,0.00001384602,0.00273159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876624,0.0000235312,0.00047800026,0.00045472686,0.00005522193,0.0002222704],"domain_scores_gemma":[0.9993361,0.00013220805,0.00023574033,0.00024062138,0.000013169257,0.00004212258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052836066,0.00015289597,0.00021073998,0.0001149849,0.00035021204,0.00021857693,0.00009309591,0.000074014155,0.0001492614],"category_scores_gemma":[0.00008890816,0.00019544434,0.000046435012,0.00014957346,0.0003457257,0.00022009612,0.000051254385,0.00010381563,0.00015722505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024226121,0.000032672102,0.9042675,0.000028754974,0.000040501858,9.937484e-7,0.00039414913,0.000060667477,0.0021135556,0.06461941,0.028174335,0.000243226],"study_design_scores_gemma":[0.0010397405,0.000027070631,0.9541815,0.000032838434,0.000006950669,0.0000017082814,0.00068605255,0.0017409838,0.0010100495,0.0020146675,0.03902091,0.00023756141],"about_ca_topic_score_codex":0.00033702946,"about_ca_topic_score_gemma":0.00011534356,"teacher_disagreement_score":0.06260474,"about_ca_system_score_codex":0.00045235906,"about_ca_system_score_gemma":0.000018851613,"threshold_uncertainty_score":0.7969989},"labels":[],"label_agreement":null},{"id":"W4413022833","doi":"10.1016/j.ecoser.2025.101763","title":"The economic value of improving the ecological condition of the Saskatchewan River Delta, Canada","year":2025,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Global Water Futures; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Delta; Value (mathematics); Geography; River delta; Ecology; Mathematics; Biology; Statistics","score_opus":0.0122459242549266,"score_gpt":0.1758543422740843,"score_spread":0.1636084180191577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413022833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943586,0.00066622306,0.000027743812,0.00078159093,0.00085290964,0.00031333853,0.00029041967,0.000004892088,0.0027042897],"genre_scores_gemma":[0.99927956,0.00004187993,0.00001536956,0.00025577442,0.00003582715,0.000028918286,0.000010231474,0.0000066110474,0.0003258041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889374,0.00005460569,0.0006709451,0.0001985666,0.000030947762,0.00015118226],"domain_scores_gemma":[0.9986586,0.00020968118,0.0007016428,0.00040149037,0.000010433052,0.000018134942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069035287,0.00010232288,0.0002413226,0.000025339978,0.0002669518,0.000027045742,0.00052385445,0.000062095314,0.000109530105],"category_scores_gemma":[0.000010676977,0.00006383559,0.00009761863,0.00006135081,0.000064875945,0.00009790437,0.00013951774,0.000080023055,0.00003152436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023461322,0.000050659495,0.81664443,0.00044681327,0.0003179335,3.171598e-7,0.0011485976,0.017526386,0.00013708306,0.16132154,0.0012591142,0.0011236724],"study_design_scores_gemma":[0.0003691181,0.000025339117,0.9455696,0.00004516856,0.000027402391,0.0000011332005,0.0029906007,0.034051187,0.0011908662,0.007352681,0.008250572,0.0001263269],"about_ca_topic_score_codex":0.2434398,"about_ca_topic_score_gemma":0.70830035,"teacher_disagreement_score":0.46486056,"about_ca_system_score_codex":0.00047957437,"about_ca_system_score_gemma":0.00014686,"threshold_uncertainty_score":0.7615982},"labels":[],"label_agreement":null},{"id":"W4413073543","doi":"10.1038/s44159-025-00471-9","title":"Generalizability of choice architecture interventions","year":2025,"lang":"en","type":"article","venue":"Nature Reviews Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Generalizability theory; Choice architecture; Psychological intervention; Architecture; Computer science; Psychology; History; Social psychology; Developmental psychology","score_opus":0.15736450947760963,"score_gpt":0.37588420428718783,"score_spread":0.2185196948095782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413073543","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19313939,0.5565131,0.056757543,0.010235344,0.0034736737,0.0013841724,0.0001542305,0.00004537867,0.17829719],"genre_scores_gemma":[0.96620005,0.01712953,0.0061687296,0.0073494627,0.000109475775,0.00010589135,0.00006603899,0.000015947768,0.0028548888],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869734,0.000060568113,0.00077558286,0.0003296275,0.000010321182,0.0001265758],"domain_scores_gemma":[0.9991636,0.00003569625,0.0003370825,0.00043344017,0.0000070500128,0.000023093056],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008180226,0.00010029841,0.0004541665,0.00014916685,0.000030070472,0.0000048231323,0.00020692535,0.00024274018,0.00097385567],"category_scores_gemma":[0.00018776281,0.00010236052,0.00030225122,0.00017800042,0.000073765856,0.000044724242,0.000040000195,0.00030370435,0.0002350498],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001313442,0.00039873284,0.5572497,0.0007818087,0.00012172562,2.6588197e-7,0.00008013649,0.000047770187,0.00017980469,0.32462433,0.036394883,0.0801077],"study_design_scores_gemma":[0.0003028806,0.000027996562,0.36647475,0.00006270446,0.000011029709,0.0000011569737,0.0000015683705,0.000014560412,0.000020171961,0.04251848,0.59048575,0.00007896514],"about_ca_topic_score_codex":0.00001599703,"about_ca_topic_score_gemma":0.000022294125,"teacher_disagreement_score":0.7730606,"about_ca_system_score_codex":0.000050452305,"about_ca_system_score_gemma":0.000003918232,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W4413078036","doi":"10.1093/restud/rdaf058","title":"Counterfactual Identification and Latent Space Enumeration in Discrete Outcome Models","year":2025,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Toronto","funders":"","keywords":"Counterfactual thinking; Latent class model; Latent variable; Outcome (game theory); Covariate; Identification (biology); Mathematics; Latent variable model; Mathematical optimization; Sequence (biology); Discrete choice; Parametric statistics; Variable (mathematics); Computer science; Econometrics; Mathematical economics; Statistics","score_opus":0.16581881746721544,"score_gpt":0.31407667627354946,"score_spread":0.14825785880633402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413078036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6127702,0.37382936,0.00088429265,0.0069551575,0.0003966958,0.00066653854,0.00005219935,0.000008419732,0.0044371253],"genre_scores_gemma":[0.7868141,0.2120122,0.000032753695,0.00025759236,0.000010902948,0.00004406987,0.0000054986854,0.000004305565,0.00081860117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988238,0.000021236101,0.0008467826,0.00020848477,0.000010920548,0.00008872671],"domain_scores_gemma":[0.9993422,0.00007730787,0.00036214603,0.00020279575,0.0000059132185,0.000009661221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009525222,0.000094572846,0.0004334864,0.000069634356,0.00005213665,0.000013252431,0.0000985183,0.000023431421,0.00003357907],"category_scores_gemma":[0.000051547948,0.00008228792,0.000054905533,0.000038238966,0.00009102422,0.00020194337,0.00007523693,0.000049723134,0.00008749585],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012937617,0.000037135866,0.31708103,0.0027399317,0.00030525212,1.3823033e-7,0.0011761677,0.003848869,0.000011442804,0.66910267,0.001838175,0.0038462295],"study_design_scores_gemma":[0.0014513826,0.00006799977,0.6911442,0.003089084,0.00015230622,0.0000025958911,0.0012886066,0.03246477,0.00019340204,0.26105914,0.008488089,0.0005983737],"about_ca_topic_score_codex":0.00008201262,"about_ca_topic_score_gemma":0.000032349963,"teacher_disagreement_score":0.40804353,"about_ca_system_score_codex":0.00020445684,"about_ca_system_score_gemma":0.000006406755,"threshold_uncertainty_score":0.3355604},"labels":[],"label_agreement":null},{"id":"W4413095088","doi":"10.1088/1748-9326/adf07c","title":"Valuing damages and benefits of the altered global nitrogen cycle; lessons for national to global policy support","year":2025,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Damages; Natural resource economics; Eutrophication; China; Cost–benefit analysis; Willingness to pay; Valuation (finance); Environmental science; Environmental protection; Business; Geography; Agricultural economics; Environmental resource management; Economics; Political science; Ecology; Biology; Finance","score_opus":0.12769966508771152,"score_gpt":0.3357379364722845,"score_spread":0.20803827138457298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413095088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97302437,0.00023710805,0.00040606482,0.020855451,0.00009797788,0.00049208634,0.0017660569,0.0000048413,0.003116033],"genre_scores_gemma":[0.99728304,0.00005517891,0.00040333092,0.001839581,0.00007391713,0.00007355457,0.000033413005,0.000008206511,0.00022979938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884045,0.000035718364,0.00031814305,0.0003555699,0.00012720007,0.0003229199],"domain_scores_gemma":[0.99955857,0.000072281335,0.00008466042,0.0002032455,0.0000042948473,0.000076946446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080567773,0.00010596844,0.00016744806,0.00010499679,0.00021118527,0.00003917143,0.00027945993,0.000050187962,0.00011760578],"category_scores_gemma":[0.00012589239,0.00011228052,0.00008292287,0.00018032982,0.00022931032,0.00012702789,0.00034867035,0.000082726,0.00008039747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031860636,0.00008576039,0.8615349,0.000022474178,0.00007111493,1.4748564e-7,0.00011392131,0.0012450214,0.000786053,0.12843719,0.005208321,0.0024632392],"study_design_scores_gemma":[0.00051325274,0.000043688164,0.950585,0.000011963767,0.0000037655711,0.0000013571733,0.00009246699,0.00025037178,0.00068298547,0.04327377,0.0044410755,0.00010028583],"about_ca_topic_score_codex":0.00012993881,"about_ca_topic_score_gemma":0.000029280402,"teacher_disagreement_score":0.08905012,"about_ca_system_score_codex":0.0011694332,"about_ca_system_score_gemma":0.00002944207,"threshold_uncertainty_score":0.45786667},"labels":[],"label_agreement":null},{"id":"W4413306911","doi":"10.1017/s0008423925100528","title":"Sondages probabilistes et autres créatures mythiques : usages et limites de la calibration des sondages non probabilistes","year":2025,"lang":"fr","type":"article","venue":"Canadian Journal of Political Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université Laval; Western University","funders":"","keywords":"Mathematics","score_opus":0.04596634859542076,"score_gpt":0.2792218894134637,"score_spread":0.23325554081804295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413306911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9321724,0.010507255,0.0027894462,0.03363638,0.0007459932,0.00022342295,0.00016285805,0.000009542223,0.019752663],"genre_scores_gemma":[0.9863037,0.0006115978,0.006680092,0.0024024956,0.00012506665,0.000007728669,0.0000042716892,0.000016329075,0.0038487334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974452,0.000224106,0.0008081534,0.00038993984,0.00009429684,0.001038282],"domain_scores_gemma":[0.9978118,0.00064882514,0.00035765566,0.00021616176,0.00009943587,0.0008661034],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004465638,0.00022817026,0.00040672524,0.0006110908,0.00044941079,0.0009462977,0.0005536283,0.00023866643,0.00043715164],"category_scores_gemma":[0.0032789246,0.00024926083,0.00016435428,0.00039870787,0.0039656716,0.0016950113,0.00006676129,0.0004831941,0.000018094659],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033923918,0.00004953456,0.29948452,0.000098271565,0.000017136525,0.000008211489,0.0012152912,0.00095463183,0.00011226266,0.69543,0.0012153707,0.0014113917],"study_design_scores_gemma":[0.00019938812,0.00014993844,0.73765284,0.0003605175,0.000026455751,0.000039118466,0.0007162357,0.0017116349,0.0014720063,0.25262097,0.0048448965,0.00020599371],"about_ca_topic_score_codex":0.017681727,"about_ca_topic_score_gemma":0.018938102,"teacher_disagreement_score":0.44280902,"about_ca_system_score_codex":0.002212316,"about_ca_system_score_gemma":0.0028880376,"threshold_uncertainty_score":0.99999595},"labels":[],"label_agreement":null},{"id":"W4413335991","doi":"10.1007/s13300-025-01779-8","title":"Quantifying Patient Preferences for Basal Insulin Treatments in Adults Living with Type 2 Diabetes: A Discrete Choice Experiment in Canada, Spain, France, and Japan","year":2025,"lang":"en","type":"article","venue":"Diabetes Therapy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Novo Nordisk","keywords":"Medicine; Type 2 diabetes; Basal insulin; Diabetes mellitus; Basal (medicine); Gerontology; Endocrinology","score_opus":0.03772920654805889,"score_gpt":0.2218588422073667,"score_spread":0.18412963565930782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413335991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99094015,0.007998335,0.000008809862,0.00006673403,0.000125388,0.0005332414,0.00004469543,0.0000055604582,0.00027706698],"genre_scores_gemma":[0.9983434,0.0007411943,0.0001749307,0.0003526579,0.000011200101,0.0003047432,0.000021688604,0.0000143308835,0.00003586349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897206,0.000019440706,0.00036151774,0.0003530212,0.000025131303,0.0002688316],"domain_scores_gemma":[0.9995423,0.00015142917,0.00013396882,0.00013198846,0.000005965076,0.000034323246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015344861,0.00015245168,0.00030234296,0.00012870687,0.000048194168,0.000027245746,0.00007886388,0.00004233132,0.000038945167],"category_scores_gemma":[0.000023823632,0.00014865004,0.00002142114,0.00012994326,0.00002555106,0.00014471942,0.000021397978,0.000058762864,0.0000027263366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020030384,0.00006931956,0.98747087,0.000026982078,0.000044988752,6.865056e-8,0.0007522629,0.00018221699,0.00002862706,0.000120536024,0.000012236157,0.011271894],"study_design_scores_gemma":[0.0014124527,0.00025918568,0.99190986,0.00022641325,0.000002066785,6.6709602e-9,0.0004036895,0.00473646,0.000360797,0.0003054819,0.00021031032,0.00017328754],"about_ca_topic_score_codex":0.05497324,"about_ca_topic_score_gemma":0.12096092,"teacher_disagreement_score":0.065987684,"about_ca_system_score_codex":0.0003308389,"about_ca_system_score_gemma":0.000048223974,"threshold_uncertainty_score":0.95131975},"labels":[],"label_agreement":null},{"id":"W4413378704","doi":"10.1007/s41885-025-00180-w","title":"The Role of Probability Information and Choice Complexity in Demand for Crop Insurance under Climate Change","year":2025,"lang":"en","type":"article","venue":"Economics of Disasters and Climate Change","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"European Commission","keywords":"Crop insurance; Climate change; Business; Natural resource economics; Economics; Geography; Agriculture; Ecology; Biology","score_opus":0.11640310228451982,"score_gpt":0.24801636133485028,"score_spread":0.13161325905033044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413378704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99388206,0.002568011,0.000040890558,0.00048522162,0.00011229449,0.0006921205,0.00069165806,0.0000039484003,0.0015237739],"genre_scores_gemma":[0.99052835,0.008928489,0.00015000676,0.00016484727,0.000018768505,0.00016793341,0.00003207019,0.0000063404855,0.0000031830286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894994,0.000010814229,0.00064161385,0.00018886926,0.000009547258,0.0001991972],"domain_scores_gemma":[0.99928665,0.00009417738,0.00041946286,0.00016197866,0.00000958894,0.000028113975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060248136,0.00011040212,0.00030968513,0.000085908956,0.00010270668,0.000039895524,0.00009404627,0.00006404165,0.0000061554133],"category_scores_gemma":[0.000018249071,0.000112730864,0.00004687362,0.00004320791,0.00019514722,0.0005998611,0.00010847116,0.00004400848,0.0000030790018],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055219858,0.0000338288,0.75352496,0.00021679868,0.000014425768,4.270659e-9,0.0010410916,0.00003183792,0.000003464369,0.23491968,0.0000018183363,0.01015687],"study_design_scores_gemma":[0.00084174244,0.000052107796,0.91939133,0.000045534554,0.0000055830756,1.8332517e-7,0.0010554764,0.0058465125,0.000036987218,0.07193774,0.0006793689,0.00010741624],"about_ca_topic_score_codex":0.00022178912,"about_ca_topic_score_gemma":0.00074374926,"teacher_disagreement_score":0.16586639,"about_ca_system_score_codex":0.00006775926,"about_ca_system_score_gemma":0.0000036095362,"threshold_uncertainty_score":0.45970315},"labels":[],"label_agreement":null},{"id":"W4413408238","doi":"10.1002/sd.70145","title":"Nudging Into the Future of Immersive Reality: A Systematic Review of Sustainability‐Orientated Nudges in Policy and the Future Role of Extended Reality ( <scp>XR</scp> )","year":2025,"lang":"en","type":"review","venue":"Sustainable Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Meta Research","keywords":"Nudge theory; Sustainability; Mixed reality; Virtual reality; Computer science; Psychology; Human–computer interaction; Social psychology; Biology","score_opus":0.01766626597604706,"score_gpt":0.260758358165667,"score_spread":0.24309209218961994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413408238","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026641722,0.9913386,0.00005142386,0.0009381045,0.00009049522,0.0054154447,0.000054662323,0.0000060045077,0.0018388492],"genre_scores_gemma":[0.0017237456,0.9951092,0.000069375004,0.00012647304,0.000050813745,0.0008257393,0.00012734921,0.000027155966,0.0019401363],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950247,0.0005440145,0.0032552169,0.0005827517,0.00013272889,0.0004606264],"domain_scores_gemma":[0.9951205,0.0006908493,0.0030620622,0.0008621106,0.00020569835,0.000058733665],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006440338,0.00044748903,0.003574688,0.00049899303,0.00015815634,0.000026995305,0.00060564466,0.0002603863,0.000015421825],"category_scores_gemma":[0.0014840454,0.0002905422,0.00038859752,0.00093662005,0.00032482995,0.00015471564,0.0004749861,0.00032856,0.000002792034],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008170289,0.00007863491,0.00020826183,0.84289986,0.00032903734,0.0000019716363,0.008396414,0.000007813059,1.3854323e-8,0.12753062,0.00014191555,0.020397285],"study_design_scores_gemma":[0.0014996028,0.000071546456,0.0022374797,0.15281168,0.0009110226,0.000009892144,0.20143104,0.00003433643,0.000008684598,0.0630418,0.57746476,0.00047812943],"about_ca_topic_score_codex":0.0015587877,"about_ca_topic_score_gemma":0.00005954582,"teacher_disagreement_score":0.6900882,"about_ca_system_score_codex":0.0021846022,"about_ca_system_score_gemma":0.0012914273,"threshold_uncertainty_score":0.9999547},"labels":[],"label_agreement":null},{"id":"W4413803214","doi":"10.1111/cjag.70001","title":"Soda taxes versus cup sizes when the retailer practices nonlinear pricing: An experiment","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Institute of Food and Agriculture","keywords":"Nonlinear pricing; Economic surplus; Preference; Product (mathematics); Microeconomics; Consumption (sociology); Economics; Price discrimination; Welfare; Consumer welfare; Business","score_opus":0.1075280309162939,"score_gpt":0.21262250226271295,"score_spread":0.10509447134641905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413803214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97591966,0.0020048195,0.000024346631,0.009186252,0.0034212007,0.00036833942,0.00024665936,0.000010237061,0.008818511],"genre_scores_gemma":[0.9945115,0.00029218267,0.00088195276,0.0008576101,0.0006937979,0.000030108195,0.00006626842,0.000031704527,0.0026348974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970182,0.000053875494,0.0015867044,0.00057341525,0.000011176415,0.0007565926],"domain_scores_gemma":[0.99593025,0.00021104219,0.0024459925,0.00051343977,0.00007679288,0.0008224883],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010243298,0.0003869936,0.00076619873,0.00038305472,0.000496167,0.00042144713,0.0009712517,0.00020021838,0.0011267695],"category_scores_gemma":[0.00027904072,0.00033578134,0.00032921735,0.00012537383,0.00021594617,0.0015600212,0.00005452199,0.0004207432,0.00022796326],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064824626,0.00031949446,0.25575718,0.0001778876,0.0034243227,0.0000747185,0.01978399,0.034794636,0.0002475312,0.631948,0.04708539,0.005738623],"study_design_scores_gemma":[0.005169995,0.0013704089,0.4636069,0.0001386021,0.00027172157,0.00022282613,0.020953912,0.0030086439,0.00058212964,0.02481178,0.4780315,0.001831613],"about_ca_topic_score_codex":0.044831116,"about_ca_topic_score_gemma":0.4437666,"teacher_disagreement_score":0.6071362,"about_ca_system_score_codex":0.0029300381,"about_ca_system_score_gemma":0.0004767428,"threshold_uncertainty_score":0.9999094},"labels":[],"label_agreement":null},{"id":"W4414010970","doi":"10.1371/journal.pone.0315985","title":"What drives the demand for drought-resilient sorghum varieties? Evidence from moisture-stressed areas in Ethiopia","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; International Development Research Centre","keywords":"Sorghum; Drought tolerance; Moisture; Agronomy; Drought stress; Biology; Biotechnology; Environmental science; Agroforestry; Geography","score_opus":0.10402079166790605,"score_gpt":0.23757438041286288,"score_spread":0.13355358874495682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414010970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822304,0.00893651,0.0024036756,0.0045776987,0.00025993696,0.0005797442,0.00005134656,0.000014727868,0.00094596355],"genre_scores_gemma":[0.99241906,0.0035825314,0.00070584274,0.00068189926,0.000070462265,0.00021165573,0.000037614216,0.000012436212,0.0022784693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989164,0.000025516185,0.00044401112,0.0003835615,0.00003944841,0.00019109507],"domain_scores_gemma":[0.99905103,0.00038826835,0.00017859816,0.00034325387,0.000010108338,0.000028716147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004335523,0.00012576258,0.00029875085,0.00007942389,0.000113910355,0.00013838253,0.0002479391,0.00010801018,0.00018520401],"category_scores_gemma":[0.00020269146,0.00012366196,0.000067585315,0.000091575384,0.00007371021,0.00045577227,0.000078035875,0.00014124865,0.00012525416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008614072,0.00070615375,0.9593693,0.000113119095,0.00028581766,5.6970117e-7,0.0029185652,0.0010132379,0.0006039236,0.033738837,0.0007034712,0.0004608695],"study_design_scores_gemma":[0.0007456062,0.0000460494,0.8846238,0.00039943427,0.000045724537,4.3601812e-8,0.0005940434,0.0077702454,0.0034234107,0.101549685,0.00060484564,0.00019707179],"about_ca_topic_score_codex":0.0003277771,"about_ca_topic_score_gemma":0.00036170427,"teacher_disagreement_score":0.07474546,"about_ca_system_score_codex":0.00017076785,"about_ca_system_score_gemma":0.000015937945,"threshold_uncertainty_score":0.50427884},"labels":[],"label_agreement":null},{"id":"W4414100746","doi":"10.1111/cjag.70005","title":"From rhetoric to measurement: The economics of wetland conservation","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Wetland; Ecosystem services; Wetland conservation; Operationalization; Ecosystem; Empirical evidence; Agriculture; Service (business)","score_opus":0.07380580776533198,"score_gpt":0.16585052571841422,"score_spread":0.09204471795308224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414100746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788448,0.0010640793,0.00012703253,0.011473606,0.0026183962,0.0003711274,0.0004721456,0.000004879555,0.0050239265],"genre_scores_gemma":[0.9972662,0.00019783084,0.00022008271,0.0011046318,0.00046601437,0.000019015302,0.000045114113,0.000021793912,0.0006593296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9971061,0.000032388056,0.0018845433,0.0004344925,0.00000976733,0.000532704],"domain_scores_gemma":[0.99731433,0.00011113583,0.001385996,0.00042111924,0.0001340422,0.00063334487],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010763512,0.00030279564,0.00083689275,0.0004944067,0.0002246309,0.00014395698,0.00078302354,0.00016644958,0.00047519486],"category_scores_gemma":[0.00019313065,0.00028260972,0.00032277062,0.0001916514,0.00013467239,0.00053622,0.000044516422,0.00023870707,0.00015586047],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014364804,0.00008259171,0.38999796,0.00009076272,0.0017590041,0.000007875916,0.005582198,0.041194007,0.000255526,0.5248453,0.032729357,0.0033117349],"study_design_scores_gemma":[0.0015754313,0.0003009185,0.8234972,0.00014398301,0.00011358565,0.000036088168,0.0023891043,0.0005988061,0.00043309695,0.058702324,0.11151041,0.00069907896],"about_ca_topic_score_codex":0.07015331,"about_ca_topic_score_gemma":0.5169966,"teacher_disagreement_score":0.466143,"about_ca_system_score_codex":0.003434877,"about_ca_system_score_gemma":0.0004957223,"threshold_uncertainty_score":0.9999626},"labels":[],"label_agreement":null},{"id":"W4414247262","doi":"10.1111/aje.70102","title":"Willingness to Pay for Forest Restoration in Togo: Comparison of Estimates From Choice Experiment, Contingent Valuation and Travel Cost Methods","year":2025,"lang":"en","type":"article","venue":"African Journal of Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université de Sherbrooke","funders":"German Academic Exchange Service; Deutscher Akademischer Austauschdienst","keywords":"Contingent valuation; Willingness to pay; Afforestation; Recreation; Biodiversity; Valuation (finance); Forest cover; Preference; Cost–benefit analysis","score_opus":0.17191327622181063,"score_gpt":0.3700646766064281,"score_spread":0.19815140038461748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414247262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8477684,0.0005414619,0.150246,0.00064208335,0.000301003,0.00032207218,0.000015661546,0.0000011786274,0.00016214668],"genre_scores_gemma":[0.96880597,0.00003178371,0.030958302,0.00008458824,0.000030705436,0.000048661503,0.000011381111,0.000006027744,0.000022607246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988159,0.00004378551,0.00086877355,0.00014558743,0.00001638479,0.00010958608],"domain_scores_gemma":[0.99860096,0.0005636169,0.0006888669,0.00007395261,0.000034712208,0.000037905837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000939914,0.00007447102,0.00043891702,0.00019552954,0.00003517279,0.000015741556,0.00008686076,0.00006228851,0.00003350913],"category_scores_gemma":[0.00043880043,0.00007646218,0.00004318493,0.000082783146,0.0000331507,0.00013280618,0.000022592087,0.0000655736,0.0000028247534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043466403,0.00008925054,0.9874393,0.00000849859,0.000037844642,7.730653e-8,0.0010209439,0.0033431542,0.0011988257,0.0033002333,0.00011067628,0.0034077482],"study_design_scores_gemma":[0.0009561558,0.0002910676,0.9592778,0.000018376018,0.000015597514,3.3988871e-7,0.0010545058,0.014737613,0.0015234808,0.021556925,0.0004984218,0.00006969977],"about_ca_topic_score_codex":0.00023109441,"about_ca_topic_score_gemma":0.0003631643,"teacher_disagreement_score":0.12103754,"about_ca_system_score_codex":0.00018119578,"about_ca_system_score_gemma":0.000022979339,"threshold_uncertainty_score":0.31180373},"labels":[],"label_agreement":null},{"id":"W4414309965","doi":"10.2139/ssrn.5473586","title":"The Value of Biodiversity: Evidence from Migratory Birds","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Biodiversity; Agriculture; Ecosystem services; Revenue; Habitat; Externality; PEST analysis","score_opus":0.05426304649588048,"score_gpt":0.2189432562030559,"score_spread":0.16468020970717542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414309965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.903677,0.088601306,0.0037125659,0.0015054122,0.0011905476,0.00018437342,0.00026602336,0.000012819887,0.0008499411],"genre_scores_gemma":[0.8848394,0.113308825,0.00012245208,0.0000906999,0.00015762086,0.000007062473,0.000017789009,0.00000927435,0.001446844],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979789,0.000058706933,0.0007167511,0.0003640832,0.000060254497,0.00082129857],"domain_scores_gemma":[0.99835694,0.00016890655,0.0009849198,0.00042406272,0.0000205718,0.000044586744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026282626,0.00019070785,0.00038357414,0.00014587746,0.00025366156,0.0000541367,0.0007565072,0.00021142283,0.00007453406],"category_scores_gemma":[0.00011388053,0.00018525678,0.00030280175,0.000066813795,0.000113013884,0.00014626437,0.00038676782,0.0017805225,0.00021338175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051886567,0.000060957904,0.8224642,0.000029974453,0.0009710182,7.135616e-7,0.00044760955,0.002021634,0.000014813292,0.16681075,0.000979251,0.006147179],"study_design_scores_gemma":[0.00034632307,0.00007545617,0.122340694,0.00013667329,0.00007676461,0.0000037628688,0.0007283992,0.0008869073,0.000102298174,0.87221384,0.0028030248,0.00028586894],"about_ca_topic_score_codex":0.0026858402,"about_ca_topic_score_gemma":0.0008651318,"teacher_disagreement_score":0.7054031,"about_ca_system_score_codex":0.0018693622,"about_ca_system_score_gemma":0.0007222391,"threshold_uncertainty_score":0.7735584},"labels":[],"label_agreement":null},{"id":"W4414485176","doi":"10.33423/jabe.v27i5.7848","title":"Valuing Ecosystem Services in the Ecuadorian Amazon: Strategic Applications of ESVD-Based Benefit Transfer for Conservation Finance","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ecosystem services; Ecosystem valuation; Valuation (finance); Payment for ecosystem services; Payment; Natural capital; Ecosystem; Biodiversity","score_opus":0.03864692174954317,"score_gpt":0.20170693751980498,"score_spread":0.1630600157702618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414485176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863037,0.00043486193,0.010115064,0.00084463623,0.000127479,0.00043075354,0.00008033962,0.0000021662468,0.0016610319],"genre_scores_gemma":[0.9979662,0.00056251773,0.0009301911,0.0003563004,0.00006927675,0.00007541183,0.00001911929,0.000009438922,0.0000115802695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987504,0.0000044976564,0.00093936455,0.0001718348,0.000015949723,0.00011799421],"domain_scores_gemma":[0.99919546,0.00009668688,0.0005078686,0.00014855644,0.00003532465,0.000016077973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007963886,0.00011238663,0.00038377926,0.00020260946,0.00007414834,0.000058148664,0.00019643045,0.00008412758,0.000010153654],"category_scores_gemma":[0.0000024346225,0.000109611734,0.00007124328,0.00015478797,0.000032108666,0.00017748859,0.000010744563,0.00007644426,0.0000026244572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001832224,0.0001731171,0.036761615,0.0006197367,0.000070158894,2.3323776e-7,0.0004100891,0.081566066,0.00007865058,0.8761792,0.000019826799,0.003938082],"study_design_scores_gemma":[0.0069250753,0.0001545587,0.40309227,0.00026633975,0.000117610005,0.0000075961784,0.0036795547,0.104766145,0.0006908,0.45887664,0.02086966,0.00055376213],"about_ca_topic_score_codex":0.000045812052,"about_ca_topic_score_gemma":0.00019303025,"teacher_disagreement_score":0.41730258,"about_ca_system_score_codex":0.00008774658,"about_ca_system_score_gemma":0.000040404942,"threshold_uncertainty_score":0.4469837},"labels":[],"label_agreement":null},{"id":"W4414553738","doi":"10.1007/s10531-025-03138-2","title":"Not all protected areas are created equal: quality vs quantity in the quest to achieve 30 × 30","year":2025,"lang":"en","type":"article","venue":"Biodiversity and Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Threatened species; Species richness; Biodiversity; Ecosystem; Protected area; Global biodiversity; Climate change; Ecosystem services","score_opus":0.17618910759624726,"score_gpt":0.2540549926518895,"score_spread":0.07786588505564226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414553738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844394,0.000066917826,0.0008150092,0.012988256,0.000070466536,0.0004311974,0.00018712964,0.000020468144,0.0009811629],"genre_scores_gemma":[0.9930806,0.00006521804,0.00008187568,0.0065172147,0.000008681913,0.000018109924,0.00007547731,0.0000018266612,0.00015100428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992111,0.00007251994,0.00028638347,0.00027902017,0.000029674226,0.00012133112],"domain_scores_gemma":[0.9995545,0.000065222775,0.00016752671,0.0001692034,0.000014666184,0.0000288722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000830461,0.00009201916,0.00018244503,0.000105409614,0.00016119228,0.00006166082,0.00013063049,0.00009191169,0.00016810006],"category_scores_gemma":[0.000111418274,0.00009816055,0.000033105207,0.00015031328,0.000050675266,0.00017674801,0.00006746748,0.000093582006,0.0004066037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079473466,0.00006755194,0.97441024,0.00002149714,0.000018070132,6.528588e-7,0.00051281654,0.000017433433,0.000031724114,0.023386216,0.001322027,0.00013227818],"study_design_scores_gemma":[0.0005019426,0.00005064796,0.9898976,0.000012905835,0.0000074293325,1.8163314e-7,0.00043650594,0.00025974287,0.000035585013,0.0020453762,0.0066355513,0.00011651869],"about_ca_topic_score_codex":0.006690947,"about_ca_topic_score_gemma":0.00072911,"teacher_disagreement_score":0.02134084,"about_ca_system_score_codex":0.00012468272,"about_ca_system_score_gemma":0.000010755363,"threshold_uncertainty_score":0.9999236},"labels":[],"label_agreement":null},{"id":"W4414667871","doi":"10.1017/aae.2025.10021","title":"Factors Affecting Enrollment in General Conservation Reserve Program: A Duration Analysis of Producers in Southern United States","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Department of Environment and Conservation","funders":"University of Cambridge","keywords":"Conservation Reserve Program; Duration (music); Renting; Agriculture; Ranking (information retrieval); Conservation agriculture","score_opus":0.04908177023382297,"score_gpt":0.2206689685069236,"score_spread":0.17158719827310065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414667871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998919,0.00010355199,0.000020475867,0.00039637584,0.00005631722,0.00024032466,0.000025239415,0.000003020221,0.00023568723],"genre_scores_gemma":[0.9992232,0.00021579878,0.00030840584,0.000049741808,0.0000172923,0.000007632836,0.00010861317,0.0000035870237,0.00006576419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986759,0.000014575749,0.0010101895,0.00016748143,0.000016079835,0.000115774514],"domain_scores_gemma":[0.9990264,0.000048366786,0.00082335906,0.00005952046,0.000015131938,0.000027217447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054343557,0.00010805936,0.0004465571,0.0005926186,0.00002951909,0.000037115376,0.0000713185,0.00006356248,0.00001368114],"category_scores_gemma":[0.000017780716,0.00008903794,0.0000869174,0.00044924073,0.000027813934,0.00017664935,0.000025234142,0.00010572639,0.0000010890691],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030500902,0.000100114514,0.83657056,0.000017487075,0.00021077311,4.5028358e-8,0.0019020723,0.1582994,0.00013287403,0.002410755,0.000015019235,0.00031041002],"study_design_scores_gemma":[0.0006347305,0.000046428697,0.9883167,0.00001386838,0.000041969062,2.918351e-7,0.005317042,0.0040582246,0.0004369815,0.0010102761,0.000028453891,0.0000950279],"about_ca_topic_score_codex":0.0005097142,"about_ca_topic_score_gemma":0.0007857733,"teacher_disagreement_score":0.15424117,"about_ca_system_score_codex":0.00025870482,"about_ca_system_score_gemma":0.0000095510995,"threshold_uncertainty_score":0.3630862},"labels":[],"label_agreement":null},{"id":"W4414762459","doi":"10.5198/jtlu.2025.2294","title":"The application of rational inattention theory in modelling residential location choices: A cross-sectional investigation using a stated preference dataset","year":2025,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Preference; Measure (data warehouse); Rational choice theory (criminology); Discrete choice; Rational analysis; Revealed preference; Rational planning model; Process (computing); Contrast (vision); Empirical research","score_opus":0.13957531256082945,"score_gpt":0.2693527390433878,"score_spread":0.12977742648255836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414762459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8560737,0.0003045885,0.14332199,0.00003278719,0.00006835193,0.00008746544,0.000094932046,0.0000010461852,0.000015147119],"genre_scores_gemma":[0.9989692,0.00025714733,0.0004558028,0.000022255113,0.000021250902,0.000003543793,0.00023499683,0.0000029171126,0.00003286156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991319,0.000019557629,0.0006552445,0.0000996029,0.0000384662,0.000055238503],"domain_scores_gemma":[0.99936086,0.00005935466,0.00046148596,0.00006460256,0.00003668571,0.000016997232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096690696,0.0000496846,0.00011203072,0.00013490059,0.00007967338,0.000037127396,0.00005939352,0.00004642754,0.0000075043476],"category_scores_gemma":[0.00001730154,0.00004454449,0.000026165664,0.00009962186,0.00005740025,0.0005503841,0.0000050636722,0.000082249455,6.6101154e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009938643,0.00002118542,0.90370506,0.000020718899,0.000020052701,1.2015848e-7,0.00007853103,0.084377535,0.0000696585,0.011526539,0.0000038878507,0.00007732565],"study_design_scores_gemma":[0.00052286166,0.0000147136325,0.905695,0.000025960644,0.000009938878,0.0000014540791,0.00001900912,0.06913572,0.00004292755,0.024308043,0.00018627946,0.000038051225],"about_ca_topic_score_codex":0.00039251224,"about_ca_topic_score_gemma":0.00015426551,"teacher_disagreement_score":0.14289553,"about_ca_system_score_codex":0.000058217258,"about_ca_system_score_gemma":0.00003444555,"threshold_uncertainty_score":0.18164715},"labels":[],"label_agreement":null},{"id":"W4415230053","doi":"10.1609/aies.v8i2.36616","title":"From Efficiency to Equity: Measuring Fairness in Preference Learning","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Preference; Preference learning; Generative grammar; Preference elicitation; Inequity aversion; Inequality; Work (physics)","score_opus":0.2746527999111085,"score_gpt":0.3042662474551201,"score_spread":0.029613447544011573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415230053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97035605,0.00014797546,0.0005317562,0.0076414105,0.00014533577,0.00022256456,0.0000118887965,0.000014953885,0.020928074],"genre_scores_gemma":[0.99746925,0.00047156645,0.0003843042,0.0010700558,0.000019946814,0.000022919794,0.0000012432175,0.000008244933,0.0005524428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99887556,0.000011032904,0.00040741457,0.0004182476,0.00008031318,0.00020745826],"domain_scores_gemma":[0.9994188,0.000112886926,0.0002158862,0.00015291116,0.00005505065,0.00004447296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017408238,0.00013600299,0.00028805665,0.00006153075,0.0002244026,0.00011021704,0.00050878705,0.00019744813,0.000035878336],"category_scores_gemma":[0.00077139994,0.00013223791,0.00008740794,0.0002050224,0.00012392545,0.00015565866,0.0006167379,0.0008326781,0.000019551551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015738231,0.000073397416,0.42009592,0.00013465656,0.000034744848,3.1175176e-8,0.015369887,0.0002436164,0.0015193252,0.5607598,0.00020045758,0.0015524303],"study_design_scores_gemma":[0.000821284,0.00010222079,0.5452783,0.0007351149,0.000015869247,2.203429e-7,0.0059624803,0.012963354,0.003069425,0.4299206,0.0007457849,0.0003853333],"about_ca_topic_score_codex":0.00033138736,"about_ca_topic_score_gemma":0.000017221062,"teacher_disagreement_score":0.13083918,"about_ca_system_score_codex":0.00014115789,"about_ca_system_score_gemma":0.00004487704,"threshold_uncertainty_score":0.53925055},"labels":[],"label_agreement":null},{"id":"W4415282287","doi":"10.1002/rse2.70031","title":"Covariates influence optimal camera‐trap survey design for occupancy modelling","year":2025,"lang":"en","type":"article","venue":"Remote Sensing in Ecology and Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Llywodraeth Cymru","keywords":"Covariate; Occupancy; Survey data collection; Population; Baseline (sea); Survey research; Survey methodology; Estimation","score_opus":0.11249593102600795,"score_gpt":0.25230233207011726,"score_spread":0.1398064010441093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415282287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5952276,0.00013271626,0.403859,0.00038791847,0.00010506339,0.0001858948,0.000008506558,0.000007861769,0.00008543343],"genre_scores_gemma":[0.9463455,0.00018368266,0.05245728,0.00081219024,0.000009301068,0.0000013183695,0.000039119568,0.0000071281274,0.00014446265],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990856,0.000053352334,0.00040863655,0.0002800035,0.000008479375,0.00016390659],"domain_scores_gemma":[0.99927086,0.0004372251,0.0001545611,0.00009930886,0.000020818314,0.000017207205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011111406,0.000092005066,0.0002254267,0.00014495282,0.000116082665,0.000025346768,0.00004185921,0.0001392647,0.0000060037455],"category_scores_gemma":[0.000179889,0.00012419758,0.000023078896,0.000104502884,0.000060373703,0.0001463922,0.000017520168,0.000079441576,0.000013884909],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010849669,0.000019763032,0.74883586,0.00002712568,0.00003557519,6.95684e-7,0.00018596559,0.23671164,0.000051550396,0.010284147,0.000106417225,0.003632784],"study_design_scores_gemma":[0.00033677203,0.000018407789,0.44385898,0.000011144023,0.0000033504532,8.826075e-7,0.000014250917,0.53832597,0.000032495667,0.01722973,0.00010019017,0.00006784826],"about_ca_topic_score_codex":0.0014897966,"about_ca_topic_score_gemma":0.00050722266,"teacher_disagreement_score":0.35140172,"about_ca_system_score_codex":0.00010324626,"about_ca_system_score_gemma":0.00003054081,"threshold_uncertainty_score":0.50646305},"labels":[],"label_agreement":null},{"id":"W4415399991","doi":"10.1029/2024wr039424","title":"Downstream Willingness to Pay for Upstream Nature‐Based Solutions to Improve Water Security in a Thirsty Brazilian Megacity","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Queen Elizabeth Scholars; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Willingness to pay; Upstream (networking); Megacity; Water security; Contingent valuation; Water scarcity; Food security; Payment; Downstream (manufacturing); Metropolitan area","score_opus":0.0707580827546097,"score_gpt":0.3018321366558553,"score_spread":0.23107405390124558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415399991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98384064,0.00007611638,0.0011071983,0.0087397965,0.00020834523,0.001338563,0.0002501879,0.0000265263,0.004412614],"genre_scores_gemma":[0.9947055,0.000008988336,0.0003360641,0.00064016925,0.00008586563,0.0006419743,0.00009330372,0.000023879202,0.0034642285],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975759,0.00007453161,0.00054268166,0.0007677772,0.00009691408,0.0009421945],"domain_scores_gemma":[0.99912834,0.000104651306,0.000033121843,0.00051881163,0.00004387946,0.00017117357],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029223745,0.00018019536,0.00034022902,0.0006694019,0.0003616284,0.00017435827,0.00045560356,0.00024330214,0.00025746584],"category_scores_gemma":[0.00013400111,0.0001325002,0.00011824661,0.00027648153,0.00008499644,0.0001576244,0.00035471885,0.0004991415,0.0008119994],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013539629,0.0017108797,0.9035643,0.00063271925,0.00023442919,0.00000991745,0.03513399,0.011808961,0.011775873,0.016994974,0.008315574,0.008464416],"study_design_scores_gemma":[0.0033230616,0.000603086,0.12916389,0.00012863344,0.000012084012,7.985335e-7,0.001023899,0.013563147,0.13873556,0.0923787,0.62016255,0.00090457866],"about_ca_topic_score_codex":0.0011546656,"about_ca_topic_score_gemma":0.00083124125,"teacher_disagreement_score":0.7744004,"about_ca_system_score_codex":0.0005478305,"about_ca_system_score_gemma":0.000017271797,"threshold_uncertainty_score":0.99996597},"labels":[],"label_agreement":null},{"id":"W4415461287","doi":"10.1007/s10531-025-03191-x","title":"Valuing species-at-risk recovery: A discrete choice experiment on public willingness-to-pay for conservation in Québec, Canada","year":2025,"lang":"en","type":"article","venue":"Biodiversity and Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais; Ministère des Ressources naturelles et des Forêts; University of Victoria","funders":"","keywords":"Willingness to pay; Wildlife; Woodland; Population; Contingent valuation; Wildlife trade; Biodiversity; Status quo; Endangered species","score_opus":0.073247577350108,"score_gpt":0.203997077197591,"score_spread":0.130749499847483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415461287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97167486,0.0001639895,0.001384433,0.024948621,0.00026668052,0.0004054247,0.0003502782,0.000010894671,0.00079483894],"genre_scores_gemma":[0.99294955,0.0001373314,0.00019633608,0.00502497,0.000019766961,0.000037923764,0.00014603799,0.0000038097398,0.0014842727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991713,0.000019503765,0.00029005102,0.00033112694,0.000032251945,0.00015575497],"domain_scores_gemma":[0.9994735,0.00015313517,0.0001802655,0.00012943282,0.00001614762,0.00004748418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003303419,0.00010690238,0.00018254704,0.00012597327,0.00028797798,0.000048942966,0.00008254462,0.00006135021,0.000087024164],"category_scores_gemma":[0.000170911,0.00012529104,0.00003592005,0.0001297621,0.000026932295,0.00021084974,0.000058372192,0.00005866137,0.00003339633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064750726,0.000022665079,0.9825877,0.000014819318,0.000022129487,1.8012247e-7,0.00014490278,0.00013329282,0.000028861476,0.0039260434,0.012659837,0.0003948431],"study_design_scores_gemma":[0.0007267955,0.000045035493,0.8317567,0.000014652881,0.0000066699617,7.92923e-8,0.000193155,0.001949413,0.00014408257,0.0004949267,0.16453427,0.00013422321],"about_ca_topic_score_codex":0.5385392,"about_ca_topic_score_gemma":0.6437269,"teacher_disagreement_score":0.15187444,"about_ca_system_score_codex":0.0011605276,"about_ca_system_score_gemma":0.00010275977,"threshold_uncertainty_score":0.5109221},"labels":[],"label_agreement":null},{"id":"W4415464370","doi":"10.1038/s41559-025-02889-z","title":"Author Correction: Using species ranges and macroeconomic data to fill the gap in costs of biological invasions","year":2025,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Table (database); Population; Estimation; Interpolation (computer graphics); Invasive species; Cost–benefit analysis; Economic cost","score_opus":0.2152683878132828,"score_gpt":0.2907478311065767,"score_spread":0.0754794432932939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415464370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908572,0.0018630346,0.00053230056,0.0028234695,0.0016492079,0.00029429563,0.00009987282,0.00000815767,0.0018724632],"genre_scores_gemma":[0.9983839,0.00016909349,0.0003186452,0.00035441288,0.000045812332,0.0000139884605,0.000048067366,0.0000043399414,0.00066178164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990937,0.00004405523,0.00036128087,0.00034623075,0.000010680924,0.00014405663],"domain_scores_gemma":[0.99936134,0.00017066697,0.00015432727,0.00028292244,0.000007829736,0.000022891243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007040932,0.00008604237,0.00024366449,0.0002007864,0.00010682912,0.000011378656,0.00020851255,0.00027944805,0.00015232134],"category_scores_gemma":[0.00028689925,0.000081288,0.000026416094,0.00015311305,0.0001251571,0.00012701344,0.00018719728,0.0002446694,0.000039076658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023561754,0.000036727586,0.95839167,0.0000040596647,0.000020273032,1.9132608e-7,0.00006505882,0.0008035129,0.0002653166,0.034198295,0.0058732047,0.0003181049],"study_design_scores_gemma":[0.00026570327,0.00003600304,0.98316413,0.000011819552,0.000006564714,0.0000032337673,0.00020731697,0.00811743,0.000038452963,0.0050539863,0.0030219706,0.0000733792],"about_ca_topic_score_codex":0.00016110555,"about_ca_topic_score_gemma":0.0011383235,"teacher_disagreement_score":0.02914431,"about_ca_system_score_codex":0.00047142594,"about_ca_system_score_gemma":0.000022757644,"threshold_uncertainty_score":0.33148286},"labels":[],"label_agreement":null},{"id":"W4415552025","doi":"10.1093/erae/jbaf036","title":"Motivation and intended use transparency: Shaping consumer responses to a red meat tax through information disclosure","year":2025,"lang":"en","type":"article","venue":"European Review of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hatch","keywords":"Revenue; Tax revenue; Red meat; Consumer information; Consumer behaviour","score_opus":0.103597647633047,"score_gpt":0.23044739965901898,"score_spread":0.12684975202597198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415552025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97018003,0.0074898084,0.0008222082,0.003441074,0.00020984585,0.00072297204,0.0002610512,0.000026932139,0.016846087],"genre_scores_gemma":[0.9478127,0.046499114,0.0016649558,0.0028138894,0.00002728821,0.000020266252,0.00022332325,0.000012648571,0.00092580816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983762,0.00006255325,0.001119971,0.00027565012,0.000017747787,0.00014790411],"domain_scores_gemma":[0.99913627,0.00007126079,0.0004966379,0.00021400415,0.000031367963,0.00005047473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005011452,0.00017965677,0.00044692145,0.00009369733,0.000078317724,0.000074166346,0.00015562885,0.00004020455,0.00008351629],"category_scores_gemma":[0.00029454983,0.00016239923,0.000108491586,0.00013480264,0.000050851086,0.0013385573,0.000079439305,0.000088292734,0.0001771129],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002057909,0.00021262752,0.60111344,0.0071803206,0.0007426891,0.0000014068249,0.0051357,0.0013143234,0.0005108474,0.31455597,0.045262657,0.023764256],"study_design_scores_gemma":[0.00036840487,0.00004088438,0.93285674,0.001102609,0.000028402594,0.0000027932278,0.00014199052,0.000036864152,0.000087251276,0.00050406647,0.06460598,0.00022401552],"about_ca_topic_score_codex":0.000040621864,"about_ca_topic_score_gemma":0.000011944918,"teacher_disagreement_score":0.33174333,"about_ca_system_score_codex":0.00011686938,"about_ca_system_score_gemma":0.000009526563,"threshold_uncertainty_score":0.66224486},"labels":[],"label_agreement":null},{"id":"W4415734084","doi":"10.9734/ajaees/2025/v43i112843","title":"Economic Valuation of Forest Restoration Programs in Togo: A Contingent Valuation Approach","year":2025,"lang":"en","type":"article","venue":"Asian Journal of Agricultural Extension Economics & Sociology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College Saint-Jean; University of Alberta","funders":"","keywords":"Contingent valuation; Total economic value; Tobit model; Ecosystem services; Willingness to pay; Payment; Valuation (finance); Payment for ecosystem services; Biodiversity","score_opus":0.1006355584435484,"score_gpt":0.24358442067745426,"score_spread":0.14294886223390585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415734084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99139136,0.0006589642,0.0026143398,0.001634044,0.0008011206,0.0004083917,0.000009947696,0.000007005428,0.002474846],"genre_scores_gemma":[0.9967282,0.00044085545,0.0023320252,0.000104976796,0.00013777746,0.00002119709,0.00009886458,0.000011602916,0.00012453938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99732596,0.00011493024,0.0019446876,0.00034772969,0.00002984066,0.00023686064],"domain_scores_gemma":[0.9975664,0.000066665154,0.002043424,0.00018833755,0.00007670519,0.000058459827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019990678,0.00019415072,0.00073044485,0.0003316027,0.000073197334,0.00003096212,0.00022390485,0.00024341834,0.000032068434],"category_scores_gemma":[0.00011615556,0.00018554385,0.00024318432,0.00009227951,0.00016403793,0.0005414811,0.000052099476,0.00023315723,0.000045456007],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011355619,0.0003702342,0.6523419,0.00004641551,0.00023172976,8.889625e-7,0.003712606,0.054613058,0.00058051094,0.28056508,0.00046818054,0.006955871],"study_design_scores_gemma":[0.0014406386,0.00024662126,0.9265066,0.00003841775,0.000030625077,0.000017183758,0.0028286492,0.0036534579,0.0000637599,0.06474099,0.00025189682,0.00018116935],"about_ca_topic_score_codex":0.000060620736,"about_ca_topic_score_gemma":0.00008387166,"teacher_disagreement_score":0.2741647,"about_ca_system_score_codex":0.00082144345,"about_ca_system_score_gemma":0.00008241785,"threshold_uncertainty_score":0.75662583},"labels":[],"label_agreement":null},{"id":"W4415903823","doi":"10.1007/s10198-025-01860-w","title":"Are there differences in health state preferences between urban and rural respondents? a comparison using time trade-off and discrete choice experiment","year":2025,"lang":"en","type":"article","venue":"The European Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Impact","funders":"Natural Science Foundation of Tianjin Municipal Science and Technology Commission; National Natural Science Foundation of China","keywords":"Preference; Value (mathematics); Discrete choice; Duration (music); State (computer science); Rural area; Revealed preference","score_opus":0.15294805267512937,"score_gpt":0.2960852531281656,"score_spread":0.1431372004530362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415903823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756896,0.019700965,0.00022426686,0.0035796228,0.00013630076,0.0002203961,0.000055591616,0.0000043688437,0.00038889892],"genre_scores_gemma":[0.99574786,0.0034800025,0.0001878295,0.00040098565,0.00006926531,0.0000012483652,0.0000032700782,0.000016700207,0.000092833376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99743366,0.00047534436,0.0015951433,0.00021069025,0.00002400588,0.00026117152],"domain_scores_gemma":[0.9973878,0.000146079,0.0021987916,0.00015353397,0.0000038628027,0.000109877925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035150165,0.0001614808,0.00069917925,0.0001873457,0.0002032221,0.000102422404,0.0002304241,0.000022443328,0.000019761012],"category_scores_gemma":[0.000025941588,0.00014099313,0.00004847756,0.000055566194,0.000115002505,0.00023967681,0.00009368218,0.00024148739,0.000009914141],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003163763,0.000030595056,0.9862999,0.000045155066,0.00005290943,5.666139e-7,0.0022067078,0.0004430839,0.0000014921131,0.00033587313,0.000115654235,0.010436465],"study_design_scores_gemma":[0.00082343887,0.0001905129,0.9911455,0.00017625366,0.000004941049,0.0000029494981,0.0014304414,0.0024589724,0.0000031902857,0.0015999477,0.0020426167,0.000121256206],"about_ca_topic_score_codex":0.0001685072,"about_ca_topic_score_gemma":0.000039182298,"teacher_disagreement_score":0.020058276,"about_ca_system_score_codex":0.000312587,"about_ca_system_score_gemma":0.000053498385,"threshold_uncertainty_score":0.5749533},"labels":[],"label_agreement":null},{"id":"W4415987135","doi":"10.1177/23814683251386887","title":"Treatment Preferences among Patients with Hormone-Sensitive Prostate Cancer in France, Spain, China, South Korea, and Japan: A Discrete-Choice Experiment","year":2025,"lang":"en","type":"article","venue":"MDM Policy & Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Juravinski Cancer Centre","funders":"Astellas Pharma; Pfizer","keywords":"Prostate cancer; Health care; MEDLINE; Disease; Cancer; Clinical trial","score_opus":0.022413757394835657,"score_gpt":0.2542357541279263,"score_spread":0.23182199673309067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415987135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98051584,0.0012380719,0.000057002122,0.0014225718,0.000062320745,0.00067777344,0.00019684574,0.000015246702,0.015814357],"genre_scores_gemma":[0.9961354,0.0011093558,0.00018413746,0.000357738,0.00004745083,0.00027531292,0.000029866973,0.000018508279,0.0018422082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873924,0.000049520557,0.0003852895,0.0004969524,0.000043660384,0.00028531617],"domain_scores_gemma":[0.99921405,0.000113700036,0.0003722139,0.000215175,0.000014214387,0.00007065597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018372269,0.0002218589,0.0003354151,0.00021094893,0.00011700056,0.00007989216,0.00007327316,0.00007074794,0.000035525714],"category_scores_gemma":[0.00012538832,0.00020598766,0.000034346085,0.00019229649,0.00013411834,0.0006844598,0.00005640772,0.000117740914,0.00003449272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012392481,0.00020508525,0.98651046,0.0000089855175,0.0001124802,9.861211e-7,0.0066169677,0.00032657525,0.0000043602968,0.0028739537,0.000021086886,0.003195149],"study_design_scores_gemma":[0.0020180438,0.0002759182,0.9921318,0.000029299857,0.000027175167,3.7629047e-7,0.00097604195,0.0005482095,0.00004962956,0.00043093364,0.0032878187,0.00022471708],"about_ca_topic_score_codex":0.032969758,"about_ca_topic_score_gemma":0.00055892277,"teacher_disagreement_score":0.032410834,"about_ca_system_score_codex":0.0005539536,"about_ca_system_score_gemma":0.000055663775,"threshold_uncertainty_score":0.9734698},"labels":[],"label_agreement":null},{"id":"W4416135802","doi":"10.1007/s11116-025-10682-x","title":"Evolutionary optimization for neural network-based discrete choice modeling: enhancing stability and efficiency","year":2025,"lang":"en","type":"article","venue":"Transportation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Overfitting; Hyperparameter; Discrete choice; Stability (learning theory); Artificial neural network; Initialization; Multinomial logistic regression; Genetic algorithm; Estimation theory","score_opus":0.05490634341813631,"score_gpt":0.22795783738651967,"score_spread":0.17305149396838337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416135802","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48541182,0.00031703647,0.5135713,0.00015975312,0.000096468444,0.0002240111,0.00004900344,0.000016214854,0.00015437261],"genre_scores_gemma":[0.9918655,0.000027493017,0.00742305,0.00012353675,0.000030969924,0.00006497986,0.00041998952,0.000008727182,0.00003575966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991346,0.0000073176807,0.0004235967,0.00028084277,0.000017330487,0.00013632466],"domain_scores_gemma":[0.99969923,0.000054028522,0.00011023965,0.000098258395,0.000012892715,0.000025354144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002763845,0.00008522949,0.00014296224,0.000056499975,0.00013817563,0.000015796677,0.00004315887,0.000056752993,0.00008300345],"category_scores_gemma":[0.000020356567,0.00010858932,0.000049662944,0.00008545525,0.000033430704,0.00021358166,0.0000020199407,0.00004252259,0.0000028236861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017945986,0.00001856898,0.14127938,0.00003907456,0.0000057020325,1.994591e-8,0.00008477346,0.85237586,0.000011423815,0.006063202,0.000008896221,0.00009515344],"study_design_scores_gemma":[0.0004955566,0.00002559274,0.13479936,0.0000099594545,0.000012144134,2.1425262e-8,0.000032821164,0.861075,0.000036441434,0.0033752273,0.000047879592,0.0000900082],"about_ca_topic_score_codex":0.00009625607,"about_ca_topic_score_gemma":0.00010119469,"teacher_disagreement_score":0.5064537,"about_ca_system_score_codex":0.000086681706,"about_ca_system_score_gemma":0.000013772996,"threshold_uncertainty_score":0.44281438},"labels":[],"label_agreement":null},{"id":"W4416682870","doi":"10.1016/j.jval.2025.11.002","title":"Validity, Reliability, and Framing Effects in Equity-Efficiency Trade-Off Studies: A Systematic Review","year":2025,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; Western University","funders":"Canadian Institutes of Health Research","keywords":"Framing (construction); Key (lock); Framing effect","score_opus":0.17614855243889055,"score_gpt":0.33108663006205313,"score_spread":0.15493807762316258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416682870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5620888,0.42786843,0.000699868,0.0046531493,0.00046595928,0.0028862944,0.000011626931,0.000023383625,0.001302495],"genre_scores_gemma":[0.9217314,0.07583673,0.00028458718,0.0018843408,0.0000115638095,0.00017210029,0.0000028694747,0.00000978841,0.00006657851],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.99763256,0.00025573635,0.0013557283,0.00043315004,0.000037725855,0.00028509332],"domain_scores_gemma":[0.9986644,0.0006489448,0.00033895185,0.00029576625,0.0000030070848,0.000048970447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066678855,0.00013615614,0.0009782871,0.00023274751,0.00007366645,0.000018800953,0.00014245081,0.00006396682,0.0000076022134],"category_scores_gemma":[0.0012565479,0.0001491076,0.000054452714,0.00031045126,0.00005231047,0.00012196756,0.00014591085,0.00018155895,0.000037847003],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003795584,0.00026611597,0.25948685,0.6700237,0.000023788083,0.0000030097933,0.0019490202,0.0025152443,4.9343106e-7,0.06471654,0.00020770282,0.0008037634],"study_design_scores_gemma":[0.0027660362,0.0005808121,0.36313775,0.27906665,0.0000643625,0.000008704901,0.0010647434,0.110738665,0.000007945295,0.24125463,0.000449455,0.0008602425],"about_ca_topic_score_codex":0.00061273435,"about_ca_topic_score_gemma":0.000033814904,"teacher_disagreement_score":0.39095703,"about_ca_system_score_codex":0.00096128124,"about_ca_system_score_gemma":0.000041644544,"threshold_uncertainty_score":0.60804313},"labels":[],"label_agreement":null},{"id":"W4416776298","doi":"10.1007/s13300-025-01820-w","title":"Correction to: Quantifying Patient Preferences for Basal Insulin Treatments in Adults Living with Type 2 Diabetes: A Discrete Choice Experiment in Canada, Spain, France, and Japan","year":2025,"lang":"en","type":"article","venue":"Diabetes Therapy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Basal insulin; Type 2 diabetes; Diabetes mellitus; Basal (medicine); Type 1 diabetes","score_opus":0.03299408598097522,"score_gpt":0.22368033856492103,"score_spread":0.1906862525839458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416776298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99547,0.0031098193,0.000025195208,0.00006273715,0.00041317838,0.0006032966,0.000028228527,0.000006083312,0.00028148462],"genre_scores_gemma":[0.9986316,0.00035084973,0.00014618822,0.00040259407,0.000013211833,0.00035225053,0.000017665732,0.000012928352,0.000072698276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990596,0.000018403416,0.000322464,0.00033957782,0.000023944534,0.00023596402],"domain_scores_gemma":[0.99956644,0.0001659768,0.00011013485,0.000112815236,0.000006878523,0.00003777605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014343132,0.00013646358,0.000259491,0.00014639992,0.000049292572,0.000026935291,0.000062682,0.000032951844,0.000028932964],"category_scores_gemma":[0.000039020753,0.00013707789,0.00001838728,0.00016002225,0.00001517435,0.00012774725,0.000018634692,0.000056182314,0.0000034052111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002695717,0.000060744507,0.9796907,0.000016028353,0.00003182772,4.0130818e-8,0.0008923228,0.0005135922,0.00004043711,0.00003604555,0.00005030608,0.01864105],"study_design_scores_gemma":[0.0009799062,0.00035727528,0.98853546,0.0002774794,0.0000017809833,8.035079e-9,0.0004500752,0.00836275,0.00051903754,0.00012375813,0.0002335214,0.00015892732],"about_ca_topic_score_codex":0.07737024,"about_ca_topic_score_gemma":0.17553204,"teacher_disagreement_score":0.09816181,"about_ca_system_score_codex":0.0004167743,"about_ca_system_score_gemma":0.000042781005,"threshold_uncertainty_score":0.92877364},"labels":[],"label_agreement":null},{"id":"W4417209239","doi":"10.1016/j.ecolecon.2025.108878","title":"Ethical trade-offs in fast fashion: Exploring social, environmental, and health dimensions in clothing consumption","year":2025,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Svenska Forskningsrådet Formas; University of Alberta","keywords":"Willingness to pay; Sustainability; Clothing; Purchasing; Consumption (sociology); Ranking (information retrieval); Sustainable consumption","score_opus":0.21919370596077764,"score_gpt":0.2777004952968769,"score_spread":0.05850678933609926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417209239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98871017,0.00051992387,0.00014191025,0.008791711,0.0002571872,0.00031031124,0.000030547028,0.000020956619,0.0012172922],"genre_scores_gemma":[0.99083084,0.0052258307,0.00036484184,0.0033502723,0.000031250383,0.00009774045,0.00002997867,0.000013003767,0.000056234952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980756,0.000057451543,0.0009320023,0.00056754914,0.000014255589,0.00035310906],"domain_scores_gemma":[0.99944425,0.00012288868,0.00022328041,0.0001339947,5.6074185e-7,0.00007501292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012336046,0.00017457135,0.0005165974,0.00024438958,0.00017945789,0.000047982587,0.00011694669,0.00031114012,0.000343585],"category_scores_gemma":[0.000026154814,0.0002242096,0.00006690026,0.00006190297,0.00014849126,0.00026441485,0.00013979446,0.0005351827,0.00019154143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008260859,0.00016076169,0.89161134,0.00001742898,0.0000105774725,0.0000015071369,0.0005527851,0.00074706913,0.000010748657,0.10429445,0.00008114697,0.00250392],"study_design_scores_gemma":[0.00092126,0.000054145694,0.98358274,0.00001229545,0.0000018324104,0.0000015158658,0.00053922104,0.003730457,0.000005594704,0.0094114505,0.0015433636,0.00019614669],"about_ca_topic_score_codex":0.000052334144,"about_ca_topic_score_gemma":0.0003410573,"teacher_disagreement_score":0.094883,"about_ca_system_score_codex":0.0011847066,"about_ca_system_score_gemma":0.00002011905,"threshold_uncertainty_score":0.9143002},"labels":[],"label_agreement":null},{"id":"W4417315199","doi":"10.1111/cjag.70010","title":"Public willingness to pay for wetland restoration in the Canadian Prairie Pothole Region","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Pothole (geology); Willingness to pay; Wetland; Hectare; Contingent valuation; Respondent; Incentive; Ecosystem services; Willingness to accept; Valuation (finance)","score_opus":0.11177284630284327,"score_gpt":0.188470683113546,"score_spread":0.07669783681070273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417315199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91566455,0.00031513913,0.00021424968,0.07642255,0.0016407997,0.0007367905,0.00025057868,0.000004059801,0.004751279],"genre_scores_gemma":[0.99539715,0.000035275265,0.00022667719,0.00267001,0.00040050544,0.00008256256,0.00010566574,0.000020259233,0.0010619216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974219,0.00003896517,0.0012897709,0.0004343751,0.000007857717,0.00080710027],"domain_scores_gemma":[0.99792165,0.0001194054,0.00064728584,0.0003180104,0.00009002168,0.0009036335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013527564,0.00026749494,0.000571332,0.00086798135,0.0004655021,0.00042349406,0.000719835,0.00020771124,0.00007337041],"category_scores_gemma":[0.0002738261,0.00022798599,0.00021737193,0.0002828344,0.00007913924,0.000777239,0.00001528565,0.00029454945,0.00007604284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032486314,0.000026135649,0.48918986,0.00004311819,0.00013116506,0.000019774707,0.0024529009,0.010481722,0.000004155511,0.46752882,0.02856745,0.0015224303],"study_design_scores_gemma":[0.0007996498,0.00017365845,0.72721547,0.000046715348,0.000018423008,0.000078019555,0.0011947947,0.00023122538,0.0000075706225,0.027816365,0.24204373,0.0003743592],"about_ca_topic_score_codex":0.32895526,"about_ca_topic_score_gemma":0.99631894,"teacher_disagreement_score":0.6673637,"about_ca_system_score_codex":0.0057531334,"about_ca_system_score_gemma":0.0010552743,"threshold_uncertainty_score":0.9980636},"labels":[],"label_agreement":null},{"id":"W4417479925","doi":"10.1016/j.jval.2025.09.2572","title":"PCR99 Framing Matters! Implications of Loss Aversion for Communicating Benefits to Patients in Preference Studies (and Beyond)","year":2025,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pfizer (Canada)","funders":"","keywords":"Framing (construction); Loss aversion; Prospect theory; Framing effect; Preference; Health economics; Preference elicitation; Meaning (existential)","score_opus":0.2011801648857067,"score_gpt":0.30076401422172466,"score_spread":0.09958384933601797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417479925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779128,0.019082427,0.0004137979,0.0017904828,0.000051798364,0.00054434815,0.000053418164,0.000003617448,0.0001473119],"genre_scores_gemma":[0.9742249,0.021841805,0.0031551255,0.0006745452,0.0000024102114,0.00007788347,0.000009704172,0.0000051439824,0.000008444327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909055,0.000019768437,0.00057199073,0.00018118817,0.000009638952,0.00012687389],"domain_scores_gemma":[0.9994258,0.00017038784,0.00020161804,0.00017162174,0.0000071250693,0.00002340755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046223996,0.00005917465,0.0002624149,0.00020149656,0.00006472797,0.0000053949243,0.00010275606,0.000030517065,0.0000020045259],"category_scores_gemma":[0.00007233564,0.00007353476,0.000019212044,0.00012820688,0.000022893237,0.000073800344,0.0001019865,0.000050945753,0.0000061704163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004328154,0.00005125925,0.9262986,0.00038439472,0.0000068520817,4.990613e-9,0.0016294692,0.0032337569,6.5421744e-7,0.053619064,0.00001957366,0.014752049],"study_design_scores_gemma":[0.0005008838,0.000060968392,0.9742189,0.00045788227,0.0000016502354,5.260968e-8,0.00036655966,0.0017419824,0.000007647746,0.021925833,0.0006420338,0.00007558938],"about_ca_topic_score_codex":0.0012109483,"about_ca_topic_score_gemma":0.00013040574,"teacher_disagreement_score":0.04792032,"about_ca_system_score_codex":0.0002849673,"about_ca_system_score_gemma":0.000012358099,"threshold_uncertainty_score":0.29986605},"labels":[],"label_agreement":null},{"id":"W563455160","doi":"","title":"The Contribution of Confusion Matrix to the Analysis of Mode Choice in Montreal","year":2007,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Econometrics; Mode choice; Logit; Mixed logit; Discrete choice; Mode (computer interface); Set (abstract data type); Choice set; Logistic regression; Confusion; Statistics; Computer science; Mathematics; Psychology; Public transport; Engineering; Transport engineering","score_opus":0.019814820610662146,"score_gpt":0.23699483152049447,"score_spread":0.21718001090983233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W563455160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85670394,0.0011559827,0.13947827,0.0014530943,0.00005881942,0.00047193523,0.00010164135,0.00001659738,0.00055970566],"genre_scores_gemma":[0.99809253,0.00028640273,0.0009473548,0.000254936,0.00002842939,0.00006728632,0.000033704215,0.000012983402,0.00027637588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998359,0.00003680223,0.0009529775,0.0002447548,0.00007018632,0.00033628012],"domain_scores_gemma":[0.99855983,0.00027997143,0.00053609785,0.0005181357,0.000029998539,0.00007598526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023966539,0.00013240812,0.0004075568,0.0005055557,0.00011647841,0.00002688531,0.0003421009,0.00012661262,0.000041126943],"category_scores_gemma":[0.00023764437,0.00011011712,0.00018443678,0.00077976636,0.00007289616,0.00011756764,0.00009865557,0.00014102033,0.000020273703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007637983,0.00009373384,0.8783377,0.0000033909603,0.00013268039,6.3015386e-7,0.00028535473,0.04377192,0.00077253056,0.07234884,0.00016333592,0.004013533],"study_design_scores_gemma":[0.00028917557,0.000042670283,0.87718046,0.000006221794,0.000041429314,7.0243925e-7,0.000097581666,0.117562495,0.0015027047,0.0022126022,0.0009621763,0.00010176873],"about_ca_topic_score_codex":0.06220923,"about_ca_topic_score_gemma":0.13223493,"teacher_disagreement_score":0.14138857,"about_ca_system_score_codex":0.00039446817,"about_ca_system_score_gemma":0.000017070475,"threshold_uncertainty_score":0.9440356},"labels":[],"label_agreement":null},{"id":"W571551413","doi":"","title":"Environmental Kuznets curves for bird abundance in Canada: an examination of alternative regression models using panel data","year":2012,"lang":"en","type":"article","venue":"International journal of ecological economics and statistics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kuznets curve; Quartic function; Quadratic equation; Econometrics; Homogeneity (statistics); Panel data; Statistics; Abundance (ecology); Range (aeronautics); Mathematics; Economics; Ecology; Biology","score_opus":0.2740525676457971,"score_gpt":0.29014374515374886,"score_spread":0.01609117750795175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W571551413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96950436,0.0010684391,0.02613238,0.000079343416,0.0005416223,0.000116637595,0.0024969208,9.626536e-7,0.000059316942],"genre_scores_gemma":[0.9793287,0.0060886526,0.014213522,0.00013876092,0.00010415639,0.0000026450195,0.00010507283,0.000011584449,0.000006927802],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987602,0.000025922358,0.0008571665,0.00017234978,0.0000433542,0.00014098894],"domain_scores_gemma":[0.99859565,0.00018258774,0.0010108317,0.00010855777,0.000021743612,0.00008060892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008471806,0.000099411525,0.0003102745,0.00009816652,0.000026933047,0.000016357822,0.00030691118,0.000046561716,0.000075372904],"category_scores_gemma":[0.00009089297,0.000102803926,0.00002610938,0.000012971586,0.000054978856,0.0007701111,0.000100263474,0.00008209049,0.0000010421729],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002001071,0.0010718906,0.7457222,0.00007588369,0.00031921986,0.000010989709,0.0008237118,0.07452025,0.00015950555,0.13722436,0.00026064046,0.039611265],"study_design_scores_gemma":[0.0006829912,0.00010212598,0.484534,0.000031089894,0.000010397163,0.000016212682,0.00019583367,0.49735358,0.000031620508,0.01668792,0.00022864655,0.00012557543],"about_ca_topic_score_codex":0.008866851,"about_ca_topic_score_gemma":0.013662423,"teacher_disagreement_score":0.42283332,"about_ca_system_score_codex":0.00071185763,"about_ca_system_score_gemma":0.00007037126,"threshold_uncertainty_score":0.9977332},"labels":[],"label_agreement":null},{"id":"W575472608","doi":"","title":"A comparison of five stakeholders' perceptions of governance under Ontario Provincial Parks' management model","year":2009,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Corporate governance; Perception; Environmental planning; Public administration; Geography; Environmental resource management; Business; Political science; Psychology; Environmental science; Finance","score_opus":0.06481867726367434,"score_gpt":0.21458137050784107,"score_spread":0.14976269324416674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W575472608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909937,0.00012242958,0.00034405975,0.000083217405,0.00010202343,0.00031721784,0.0002897372,0.000007708916,0.007739939],"genre_scores_gemma":[0.7687456,0.00017653292,0.0019299702,0.0000060500065,0.0000067015385,6.685339e-7,0.00037947614,0.0000119712295,0.228743],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99899197,0.00001007983,0.000405264,0.00035087363,0.000078174155,0.00016362552],"domain_scores_gemma":[0.998566,0.000007767133,0.0010826361,0.00027444866,0.000026421314,0.000042738677],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012719407,0.00018001022,0.0006416941,0.00016279488,0.00007774193,0.000006430525,0.00026945132,0.00020069194,0.0006150841],"category_scores_gemma":[0.0000019251586,0.00026315884,0.00021217272,0.0000667397,0.00008051498,0.00021005604,0.000043028493,0.0001514899,0.000052108382],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081077934,0.0023516377,0.24957348,0.0015775887,0.0011501085,0.000005560292,0.485349,0.1683062,0.0005570018,0.079453975,0.0056949104,0.005169767],"study_design_scores_gemma":[0.0010696088,0.0001772378,0.8784336,0.0001348228,0.0001619958,1.7402171e-7,0.10612583,0.009702412,0.00014105877,0.0035860327,0.000112594906,0.00035461911],"about_ca_topic_score_codex":0.1317644,"about_ca_topic_score_gemma":0.4023704,"teacher_disagreement_score":0.6288601,"about_ca_system_score_codex":0.0004846621,"about_ca_system_score_gemma":0.000046050343,"threshold_uncertainty_score":0.99998206},"labels":[],"label_agreement":null},{"id":"W577708270","doi":"10.25675/3.026754","title":"Economic value of recreational resources: testing benefit transfer approaches","year":2000,"lang":"en","type":"book","venue":"Open MIND","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Value (mathematics); Natural resource economics; Business; Economics; Computer science; Ecology; Biology","score_opus":0.24419050105763643,"score_gpt":0.23199059486466786,"score_spread":0.012199906192968568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W577708270","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12764515,0.00066685234,0.0000485744,0.00003985626,0.00009025144,0.00047400576,0.0011973265,0.0000015684597,0.8698364],"genre_scores_gemma":[0.048966188,0.0002704459,0.007876565,0.000045751,0.00034419485,0.0000612682,0.0011861449,0.00010764129,0.9411418],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801433,0.000010931416,0.0010531957,0.00068554765,0.000033793407,0.0002022081],"domain_scores_gemma":[0.99901795,0.00010351043,0.00041377137,0.0003896606,0.0000046548107,0.000070443406],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00059274654,0.00026898723,0.00070324936,0.00016477387,0.000081741244,0.00009956265,0.0005610087,0.00030898,0.027091952],"category_scores_gemma":[0.000011227245,0.0003505524,0.0001584755,0.000031029213,0.00010924405,0.000277814,0.00009346976,0.00018492232,0.0052701416],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036152112,0.0007224206,0.08458597,0.00031783554,0.0019070283,0.000009023594,0.007596241,0.111775756,0.000019124167,0.34190413,0.01010079,0.44070014],"study_design_scores_gemma":[0.0016036622,0.00023835857,0.028102903,0.00033497266,0.00011435971,0.000012339563,0.000096480384,0.006890729,0.000114345494,0.07254457,0.8886648,0.0012824944],"about_ca_topic_score_codex":0.00016273254,"about_ca_topic_score_gemma":0.000031028834,"teacher_disagreement_score":0.878564,"about_ca_system_score_codex":0.00050630147,"about_ca_system_score_gemma":0.000101251695,"threshold_uncertainty_score":0.9998946},"labels":[],"label_agreement":null},{"id":"W582123610","doi":"","title":"A Review of Fiscal Measures to Benefit Heritage Conservation","year":2007,"lang":"en","type":"review","venue":"Northumbria Research Link (Northumbria University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Public economics; Property tax; Economics; Tax incentive; Double taxation; International taxation; Business; Economic policy; Tax reform; Market economy","score_opus":0.40407489059166984,"score_gpt":0.3440827102507536,"score_spread":0.059992180340916246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W582123610","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043544278,0.9674507,0.00029555635,0.0003032221,0.00025679852,0.0021657452,0.00068033487,0.00004728102,0.02836496],"genre_scores_gemma":[0.00014118294,0.9903853,0.0003558306,0.00024403878,0.0002631837,0.000023776303,0.00044064983,0.000098524535,0.0080475435],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99568987,0.00028534868,0.0017488705,0.0011586823,0.00029706096,0.0008201973],"domain_scores_gemma":[0.9967729,0.00045909334,0.0010179909,0.0011596248,0.00018863227,0.00040175827],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004951505,0.0005157279,0.0024602867,0.0019309543,0.000287602,0.00005792992,0.0012395439,0.0005350876,0.0009623117],"category_scores_gemma":[0.00047898703,0.00062749017,0.00086902245,0.0019043204,0.00032063946,0.00033231202,0.0005350018,0.0009178671,0.0019946771],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009418568,0.000356565,0.013784114,0.06910534,0.00092364976,0.00007942713,0.00027453128,0.000011414499,7.9952764e-7,0.105735086,0.007381538,0.80225337],"study_design_scores_gemma":[0.00034786516,0.0001430174,0.0012067946,0.017663296,0.00012224882,0.000007640289,0.000042003277,0.000009588513,6.284845e-7,0.00058998604,0.9793258,0.00054116163],"about_ca_topic_score_codex":0.0010630126,"about_ca_topic_score_gemma":0.0008928309,"teacher_disagreement_score":0.9719442,"about_ca_system_score_codex":0.0010112349,"about_ca_system_score_gemma":0.0002412693,"threshold_uncertainty_score":0.99995095},"labels":[],"label_agreement":null},{"id":"W604492175","doi":"10.11575/prism/24474","title":"Visitor use analysis in Yoho, Kootenay and Banff National Parks of Canada","year":2004,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Visitor pattern; National park; Geography; Archaeology; Computer science","score_opus":0.022724082190597815,"score_gpt":0.15755283733351885,"score_spread":0.13482875514292103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W604492175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98181707,0.00013134161,0.01420992,0.00022870136,0.000025806337,0.00005018451,0.0000071755944,0.0000018621663,0.0035279426],"genre_scores_gemma":[0.9959,0.000091206384,0.003643223,0.00002916049,0.0000026151777,1.1667254e-7,0.000015931948,0.0000025588681,0.0003152028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957526,0.0000059723075,0.00016218796,0.00014439035,0.000035332683,0.00007685735],"domain_scores_gemma":[0.99969876,0.000021032587,0.00016076902,0.00007422819,0.000007995114,0.000037191716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015612315,0.000047327772,0.00020397281,0.00019381678,0.00003288685,0.0000035907215,0.00006954087,0.000043019743,0.0001390895],"category_scores_gemma":[0.00001541407,0.000070362374,0.00004768383,0.00012256425,0.000047569392,0.00018707677,0.000035333123,0.000043625336,0.000003955694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017145609,0.00005501372,0.97109056,0.000010754072,0.00016125846,0.00000323536,0.0004651093,0.0011844746,0.000017810062,0.025503512,0.0001109955,0.0013801407],"study_design_scores_gemma":[0.00053057284,0.000011963462,0.98336524,0.0000031947136,0.000016903301,2.0845522e-7,0.000045300967,0.01251634,0.00001694744,0.0024225395,0.0010002856,0.000070520786],"about_ca_topic_score_codex":0.31271234,"about_ca_topic_score_gemma":0.057834644,"teacher_disagreement_score":0.25487772,"about_ca_system_score_codex":0.00031838226,"about_ca_system_score_gemma":0.000047973626,"threshold_uncertainty_score":0.95935744},"labels":[],"label_agreement":null},{"id":"W614221082","doi":"10.22004/ag.econ.158572","title":"Taxing a Natural Resource with a Minimum Revenue Requirement","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Ad valorem tax; Revenue; Natural resource; Economics; Tax revenue; Microeconomics; Value (mathematics); Resource (disambiguation); Value-added tax; Tax basis; Tax reform; Public economics; Business; State income tax; Finance; Computer science; Gross income","score_opus":0.06804546605993589,"score_gpt":0.19196736791888866,"score_spread":0.12392190185895277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W614221082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98800355,0.00022886983,0.0004962044,0.0012752325,0.00004564829,0.0002781628,0.00004963135,0.000009880366,0.009612793],"genre_scores_gemma":[0.9851186,0.00008715521,0.0018408633,0.00009570603,0.000027079353,0.0000016553588,0.000025413277,0.000013043728,0.012790443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909097,0.000027795977,0.00020535527,0.00034174442,0.000062428575,0.00027173368],"domain_scores_gemma":[0.9993503,0.000041897805,0.00021199895,0.000281729,0.00002028521,0.000093803916],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003920159,0.00011253264,0.00025975096,0.00016498263,0.00015425593,0.000024432735,0.000258368,0.00006248885,0.0029803577],"category_scores_gemma":[0.000012741299,0.00014439144,0.000077699086,0.00012565075,0.00017148927,0.00056390604,0.0001157979,0.00014083143,0.0019701151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025276293,0.0005178443,0.88308567,0.00028368275,0.00057123695,0.00007740923,0.016124103,0.00070169545,0.004001608,0.02047294,0.048404753,0.025506292],"study_design_scores_gemma":[0.002365759,0.00039923325,0.9402662,0.00007844065,0.000020995707,0.000012993147,0.0071671004,0.0059201736,0.00028475205,0.0011920921,0.041764505,0.00052776875],"about_ca_topic_score_codex":0.0021393537,"about_ca_topic_score_gemma":0.000306128,"teacher_disagreement_score":0.057180513,"about_ca_system_score_codex":0.00016906242,"about_ca_system_score_gemma":0.000015104527,"threshold_uncertainty_score":0.99880695},"labels":[],"label_agreement":null},{"id":"W61562365","doi":"10.5751/es-01987-120105","title":"A Review of Tools for Incorporating Community Knowledge, Preferences, and Values into Decision Making in Natural Resources Management","year":2007,"lang":"en","type":"review","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":735,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Direktion für Entwicklung und Zusammenarbeit; International Tropical Timber Organization; World Bank Group","keywords":"Natural resource; Natural resource management; Natural (archaeology); Environmental resource management; Knowledge management; Ecology; Geography; Computer science; Economics; Biology; Archaeology","score_opus":0.1849537434493046,"score_gpt":0.34426431415134723,"score_spread":0.15931057070204263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W61562365","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007910824,0.9895423,0.00015355056,0.000007709582,0.00012587006,0.0007589179,0.000024053941,0.000004918029,0.00147183],"genre_scores_gemma":[0.0070965723,0.9855928,0.006916043,0.00014865087,0.000024691986,0.00009825181,0.00006214368,0.000012100882,0.00004878591],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99859506,0.00008998604,0.0008956212,0.0002675525,0.000013067343,0.0001386913],"domain_scores_gemma":[0.9981983,0.00094209186,0.0006681976,0.00016222197,0.0000081670905,0.00002106773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031804498,0.00017016158,0.0010593886,0.00008323459,0.00017741394,0.000020588686,0.00014780069,0.00024394628,0.000016611137],"category_scores_gemma":[0.000120203345,0.00017231095,0.00018085956,0.00009488953,0.0001461162,0.00012592551,0.00023301764,0.00031724462,0.0000054647785],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030644403,0.000055832043,0.0049660476,0.056677517,0.00010734056,1.5083103e-7,0.0011054632,5.83853e-7,5.547316e-9,0.003830079,0.00038053916,0.93287337],"study_design_scores_gemma":[0.0010570766,0.0002500006,0.08384659,0.07609199,0.00030021,0.000008540204,0.001582092,0.0003170418,9.479253e-8,0.07835793,0.7574055,0.00078293897],"about_ca_topic_score_codex":0.000012842285,"about_ca_topic_score_gemma":0.0001024032,"teacher_disagreement_score":0.93209046,"about_ca_system_score_codex":0.0001652039,"about_ca_system_score_gemma":0.000011637171,"threshold_uncertainty_score":0.70266366},"labels":[],"label_agreement":null},{"id":"W63398390","doi":"","title":"Valuing old-growth forests and related qualities in southwest mainland British Columbia using contingent choice","year":2009,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mainland; Geography; Forestry; Mainland China; Archaeology","score_opus":0.029878112855127766,"score_gpt":0.19826302755459185,"score_spread":0.1683849146994641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W63398390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98712415,0.0009193447,0.000015301559,0.000017901762,0.0003019207,0.00030392918,0.00018486133,0.000029645253,0.011102935],"genre_scores_gemma":[0.9735231,0.00063165074,0.00009228718,0.000045320212,0.000041387957,0.0000013518553,0.00066877814,0.000038489994,0.024957633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842864,0.000043319447,0.00053958414,0.0006156619,0.000050109877,0.00032267818],"domain_scores_gemma":[0.99913543,0.00005650235,0.0005118914,0.00017445249,0.000025349696,0.00009637212],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003204099,0.00021023156,0.0005271398,0.00035403555,0.00020952462,0.00023331106,0.00018285228,0.00039066657,0.00032201214],"category_scores_gemma":[0.000067636895,0.00044029663,0.00011291532,0.00024323583,0.00005641563,0.0004354671,0.000040161915,0.000320182,0.00004356021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013469399,0.000045210094,0.99798185,0.000058198253,0.00005174532,0.000036247504,0.00014829684,0.0001343267,4.7289208e-7,0.0007852019,0.00042212286,0.0003228824],"study_design_scores_gemma":[0.0014820113,0.0000433808,0.9798067,0.0002194963,0.00004749876,5.50062e-8,0.011408579,0.0005921796,0.0000047099875,0.0038902387,0.0019967027,0.000508414],"about_ca_topic_score_codex":0.1033448,"about_ca_topic_score_gemma":0.85504234,"teacher_disagreement_score":0.75169754,"about_ca_system_score_codex":0.00049301103,"about_ca_system_score_gemma":0.000030480238,"threshold_uncertainty_score":0.99980485},"labels":[],"label_agreement":null},{"id":"W644441382","doi":"10.1016/s1755-5345(13)70036-8","title":"Reducing simulation bias in mixed logit model estimation","year":2010,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Estimator; Mixed logit; Monte Carlo method; Logit; Logarithm; Variance reduction; Mathematics; Statistics; Econometrics; Applied mathematics; Computer science; Logistic regression","score_opus":0.2578737441275352,"score_gpt":0.2775745288175643,"score_spread":0.01970078469002906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W644441382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57654077,0.000071148446,0.42257047,0.00009050439,0.00020963993,0.00003669963,0.0000018270981,0.000002876414,0.00047605074],"genre_scores_gemma":[0.9667293,0.00004308896,0.032977413,0.000039842693,0.00012863246,0.0000013188173,0.0000032256887,0.000013726166,0.000063448584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883246,0.000008935555,0.00085370394,0.00013737501,0.00004133444,0.00012618593],"domain_scores_gemma":[0.9989801,0.00010116163,0.000737866,0.00011466434,0.000019496298,0.00004669344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010984421,0.000084197585,0.0002295839,0.00025538966,0.000042115185,0.000040332343,0.00010571223,0.00009317729,0.00005508938],"category_scores_gemma":[0.00014021076,0.00009754745,0.000078167825,0.00007208074,0.000016222091,0.0006895797,0.000013705294,0.00029780006,0.00004343429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006904664,0.000035310764,0.019455416,0.000005766914,0.0000062248237,3.992641e-7,0.0002537782,0.97677004,0.0001958931,0.0020271281,0.000007131649,0.0012360222],"study_design_scores_gemma":[0.00040622105,0.000018202572,0.008047665,0.000018045015,0.0000044235803,0.0000024892393,0.00001628104,0.96089315,0.0001144412,0.030310351,0.00007363713,0.00009506328],"about_ca_topic_score_codex":0.000056282766,"about_ca_topic_score_gemma":0.00001344914,"teacher_disagreement_score":0.39018852,"about_ca_system_score_codex":0.00012431372,"about_ca_system_score_gemma":0.000016208345,"threshold_uncertainty_score":0.39778695},"labels":[],"label_agreement":null},{"id":"W645255674","doi":"","title":"Informing Water Use Planning with Consumer Preferences: A Case Study in Kelowna, B.C.","year":2014,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.07215428151807536,"score_gpt":0.2016295254783003,"score_spread":0.12947524396022492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W645255674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929063,0.000013656688,0.00061057415,0.00001783506,0.000056195953,0.000243448,0.000012663084,0.000022732149,0.006116646],"genre_scores_gemma":[0.99867225,0.000009223774,0.00015642097,0.000057377416,0.000012029699,0.0000022908189,0.000017537339,0.0000124729395,0.0010603922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913937,0.000026995704,0.00024621264,0.00032249256,0.000027725491,0.00023720734],"domain_scores_gemma":[0.9995492,0.000047134374,0.00010731376,0.00022082822,0.00000740518,0.00006809965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025853093,0.00013861584,0.00023489128,0.00036252252,0.00011218714,0.000050584586,0.00013089075,0.00006720773,0.00021064767],"category_scores_gemma":[0.000011025188,0.00013700446,0.000032199736,0.00013961371,0.000051291714,0.0008195131,0.00007355122,0.00013235502,0.00023670493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030851097,0.000085315805,0.9965265,0.0000061272435,0.000032229273,0.00027443402,0.0004578189,0.0016479323,2.0443294e-7,0.00055621937,0.00006199677,0.00032040742],"study_design_scores_gemma":[0.012085845,0.0011518908,0.6563452,0.000106085674,0.000096861964,0.0000014326213,0.1914741,0.0093552405,0.00022021198,0.0009591007,0.12644857,0.0017554653],"about_ca_topic_score_codex":0.0027760696,"about_ca_topic_score_gemma":0.027440393,"teacher_disagreement_score":0.34018126,"about_ca_system_score_codex":0.00016247414,"about_ca_system_score_gemma":0.0000076276997,"threshold_uncertainty_score":0.99030626},"labels":[],"label_agreement":null},{"id":"W6582753","doi":"10.1007/978-94-007-4988-7_6","title":"How Economists Measure Wellbeing: Social Cost-Benefit Analysis","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Measure (data warehouse); Economics; Psychology; Public economics; Data science; Sociology; Computer science; Data mining","score_opus":0.11753373977234614,"score_gpt":0.20358136168675786,"score_spread":0.08604762191441172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6582753","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011715278,0.003478023,0.0015503567,0.000983427,0.00040268336,0.00038258405,0.00049660105,0.000057615714,0.9914772],"genre_scores_gemma":[0.26969692,0.000593992,0.00022056252,0.00019635115,0.00061372743,0.000030087362,0.00047931605,0.00008910672,0.7280799],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802107,0.0000046007995,0.0007640644,0.00075073174,0.00005107443,0.00040845832],"domain_scores_gemma":[0.99847317,0.000028962128,0.0009199494,0.00039867926,0.000015327652,0.00016390694],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047706196,0.00046344782,0.0011212704,0.00047968514,0.00018177458,0.00018360419,0.0002711741,0.00063722336,0.019537603],"category_scores_gemma":[0.000007853145,0.0005909679,0.0008431394,0.000046743044,0.00009813289,0.00035980338,0.00010679681,0.00029167836,0.005804372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006793048,0.000026484679,0.017115775,0.000017196715,0.0018020793,0.0000010155655,0.00009331546,0.000035670477,0.0000016397825,0.9738716,0.0022160893,0.00481234],"study_design_scores_gemma":[0.00052420405,0.000022063301,0.02057214,0.0000072579555,0.00062400254,0.000002253636,0.000032366646,0.0002990437,0.000013092886,0.068289265,0.9084725,0.0011418444],"about_ca_topic_score_codex":0.0000519977,"about_ca_topic_score_gemma":0.00011165237,"teacher_disagreement_score":0.9062564,"about_ca_system_score_codex":0.00074008305,"about_ca_system_score_gemma":0.000012344994,"threshold_uncertainty_score":0.9996542},"labels":[],"label_agreement":null},{"id":"W6888884936","doi":"10.22034/gjesm.2024.02.09","title":"Evaluation of willingness to pay and challenges to community empowerment in urban drinkable water","year":2024,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Willingness to pay; Indonesian; Empowerment; Nonprobability sampling; Sample (material); Quality (philosophy); Water quality; Community engagement","score_opus":0.5426587737703699,"score_gpt":0.488239604142733,"score_spread":0.054419169627636876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888884936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96800184,0.026524434,0.00014946792,0.0006574708,0.00036519679,0.0005282301,0.000037300524,0.00000747749,0.003728576],"genre_scores_gemma":[0.9878198,0.0117308125,0.000080746984,0.00010461205,0.000039568884,0.0000730742,0.000008705461,0.000024233432,0.000118462944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834687,0.00017378737,0.0008201199,0.000309942,0.00014417258,0.00020512196],"domain_scores_gemma":[0.9992359,0.00010419165,0.00019980384,0.00031143974,0.00004660527,0.0001020406],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0073772403,0.00015342761,0.00048439993,0.0006073592,0.0000876432,0.00029292953,0.0006267045,0.000065078464,0.0036300176],"category_scores_gemma":[0.00011746648,0.00013648086,0.000059944952,0.00021836511,0.000038489947,0.0012089048,0.00052800984,0.00020648098,0.00008481257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052402444,0.00034344918,0.94612056,0.00024390982,0.00017328332,0.0000020582484,0.009131449,0.005904991,0.0048576267,0.0016500878,0.0020282476,0.029491961],"study_design_scores_gemma":[0.0002807336,0.00002562039,0.95982605,0.00027636279,0.000025875435,0.0000011369754,0.00034593538,0.0011995008,0.003914023,0.028179863,0.0057039848,0.00022090123],"about_ca_topic_score_codex":0.0014120343,"about_ca_topic_score_gemma":0.00020625304,"teacher_disagreement_score":0.029271059,"about_ca_system_score_codex":0.0003072107,"about_ca_system_score_gemma":0.000024004357,"threshold_uncertainty_score":0.9972808},"labels":[],"label_agreement":null},{"id":"W6902157025","doi":"10.6084/m9.figshare.28775339.v1","title":"Additional file 1 of Patient preferences for key organizational features of primary cardiovascular care in Quebec: a discrete choice experiment","year":2025,"lang":"en","type":"article","venue":"Open MIND","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Key (lock); Primary care; Patient choice; Discrete choice; Multiple choice","score_opus":0.03418488783492856,"score_gpt":0.2206725017750249,"score_spread":0.18648761394009633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902157025","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28985253,0.0033769475,0.00020239167,0.000069936024,0.00014862999,0.0015077973,0.582871,0.0000012689486,0.121969506],"genre_scores_gemma":[0.88936996,0.000035031513,0.018310446,0.000050096452,0.000033427714,0.0008309507,0.08614083,0.000014882975,0.005214359],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935055,0.000009553103,0.00033278498,0.00021022189,0.000028117754,0.00006879133],"domain_scores_gemma":[0.9995263,0.00014298545,0.00016651297,0.00013337484,0.000017546026,0.000013248484],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000064060245,0.00006494307,0.00025015467,0.00007211918,0.00002580197,0.00001843302,0.00014154993,0.000043503074,0.20264529],"category_scores_gemma":[0.00009100053,0.000073767136,0.000077584875,0.00007279303,0.00003303197,0.00013796173,0.00008878704,0.000026889638,0.000030487037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000246221,0.0008728556,0.08310479,0.00041661912,0.0013739906,8.856864e-7,0.013306385,0.010148123,0.000105114086,0.008283248,0.72007763,0.16206415],"study_design_scores_gemma":[0.00076051,0.00009081879,0.35059634,0.00014204017,0.000013245096,1.5962684e-7,0.0014387914,0.00006539641,0.0015865254,0.0008993275,0.64424545,0.00016141443],"about_ca_topic_score_codex":0.00091783976,"about_ca_topic_score_gemma":0.00078169233,"teacher_disagreement_score":0.59951746,"about_ca_system_score_codex":0.0001655468,"about_ca_system_score_gemma":0.000068759546,"threshold_uncertainty_score":0.7980836},"labels":[],"label_agreement":null},{"id":"W6902182915","doi":"10.6084/m9.figshare.16725888","title":"Additional file 1 of Service providers endorse integrated services model for youth with mental health and substance use challenges: findings from a discrete choice experiment","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute; McMaster University; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Mental health; Substance use; Service provider; Mental health service; Service (business); Mental illness","score_opus":0.16915187021147993,"score_gpt":0.25447753437676085,"score_spread":0.08532566416528092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902182915","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4745972,0.00058204914,0.00013059487,0.00048351512,0.000018486011,0.00046440956,0.5232676,0.0000013452186,0.00045477325],"genre_scores_gemma":[0.46765798,0.0005864022,0.1217918,0.0013065526,0.000054597836,0.0010769491,0.40386832,0.000081451144,0.003575945],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902636,0.000010997663,0.0003379211,0.0004443516,0.00003080167,0.0001495464],"domain_scores_gemma":[0.99930406,0.0001427919,0.00028610867,0.00016693056,0.000017692913,0.00008241255],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000078587924,0.00012865783,0.00027981572,0.00003198388,0.00008603799,0.0000891216,0.00013232423,0.000043313194,0.07604313],"category_scores_gemma":[0.000018380248,0.00013702275,0.000030081696,0.000049956518,0.000031239713,0.0006479293,0.000067193774,0.00004806445,0.00005005748],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030333165,0.0032940023,0.043413848,0.0010481596,0.0026897683,0.000009092426,0.6596442,0.006828048,0.0005607182,0.0033807864,0.24136226,0.034735814],"study_design_scores_gemma":[0.011134127,0.0009707922,0.03604153,0.0024260152,0.000064288644,0.000009789315,0.16402324,0.42482176,0.00209763,0.0018947605,0.3545165,0.0019995423],"about_ca_topic_score_codex":0.00086176983,"about_ca_topic_score_gemma":0.0043784985,"teacher_disagreement_score":0.49562097,"about_ca_system_score_codex":0.000118628,"about_ca_system_score_gemma":0.00006697063,"threshold_uncertainty_score":0.92480147},"labels":[],"label_agreement":null},{"id":"W6902224501","doi":"10.6084/m9.figshare.26577374","title":"Additional file 1 of Therapeutic preference for Alzheimer’s disease treatments: a discrete choice experiment with caregivers and neurologists","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Preference; Table (database); Affect (linguistics); Disease; Sensitivity (control systems)","score_opus":0.2002811332594521,"score_gpt":0.28063288650753815,"score_spread":0.08035175324808605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902224501","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.121490985,0.0032239074,0.00022542443,0.00037470355,0.00008547438,0.0013769091,0.85400546,0.0000041875865,0.019212943],"genre_scores_gemma":[0.97805965,0.00004745916,0.002563271,0.00003824011,0.000026625126,0.0009993742,0.015692,0.000016649714,0.002556718],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946797,0.0000051080647,0.00014170169,0.0002870492,0.000014794994,0.00008339313],"domain_scores_gemma":[0.99958754,0.00018093544,0.00007750984,0.000105156476,0.0000031252953,0.000045727465],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000034133718,0.000079323654,0.00012200332,0.000030115134,0.000038053422,0.000059122027,0.00008669866,0.000019973722,0.29702735],"category_scores_gemma":[0.000013086547,0.000072744326,0.00002926272,0.00002481926,0.00006355046,0.00021477145,0.000039415063,0.000022633787,0.00016337914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016723238,0.0012844586,0.04379332,0.00020531511,0.004036807,0.000032926095,0.0088937,0.001135626,0.00007288578,0.014445664,0.6033133,0.32111368],"study_design_scores_gemma":[0.00082651724,0.0005421395,0.12663697,0.00008724979,0.000090369685,0.000001995627,0.00023385146,0.0048998375,0.00007774723,0.0013840826,0.86495554,0.00026372445],"about_ca_topic_score_codex":0.000045201592,"about_ca_topic_score_gemma":0.000013640389,"teacher_disagreement_score":0.8565687,"about_ca_system_score_codex":0.000034513487,"about_ca_system_score_gemma":0.000020262803,"threshold_uncertainty_score":0.70361525},"labels":[],"label_agreement":null},{"id":"W6902236417","doi":"10.6084/m9.figshare.25194752","title":"Additional file 1 of Examining attributes of retailers that influence where cannabis is purchased: a discrete choice experiment","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Consumer choice; Consumer behaviour; Discrete choice; Cannabis; Perception","score_opus":0.13511000027654702,"score_gpt":0.269652114011553,"score_spread":0.13454211373500596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902236417","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4721985,0.0009544952,0.00003650212,0.00028125982,0.00007538581,0.00028166125,0.5051562,0.000002054206,0.021013938],"genre_scores_gemma":[0.97097325,0.00006119525,0.003848909,0.00005534955,0.000038865346,0.0002918026,0.011610805,0.000024418781,0.013095416],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908733,0.000008535084,0.00040627195,0.00032691046,0.000039798477,0.00013117013],"domain_scores_gemma":[0.99931383,0.0001899249,0.00024772034,0.00019663054,0.000007771618,0.000044143093],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016407146,0.00010223729,0.00024395269,0.000076008466,0.000037382135,0.00006205415,0.0002296378,0.000056357425,0.8376366],"category_scores_gemma":[0.00007954269,0.00011764497,0.000061501916,0.00008589973,0.000087150715,0.00047591745,0.00013276038,0.000063478255,0.001177423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011985331,0.00005915583,0.022432612,0.00005467717,0.0001410897,0.0000020794716,0.0019801802,0.00023412344,0.00021207563,0.00026960525,0.9662369,0.008365516],"study_design_scores_gemma":[0.00019674328,0.000096805794,0.07759251,0.00028125945,0.00000784111,0.0000015398848,0.0006311408,0.0013445107,0.0025778224,0.00025233833,0.9168199,0.00019759919],"about_ca_topic_score_codex":0.00033896966,"about_ca_topic_score_gemma":0.000038702325,"teacher_disagreement_score":0.83645916,"about_ca_system_score_codex":0.00010736271,"about_ca_system_score_gemma":0.000035450845,"threshold_uncertainty_score":0.9996003},"labels":[],"label_agreement":null},{"id":"W6906492772","doi":"10.17605/osf.io/wqn9r","title":"Priming: Experimental Design and Reliability","year":2017,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"","score_opus":0.08765560225340076,"score_gpt":0.254685500067477,"score_spread":0.16702989781407623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906492772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66584694,0.000007474613,0.0066819955,0.00025703933,0.00020437277,0.0004461608,0.000008415905,0.000029059936,0.3265185],"genre_scores_gemma":[0.9522984,0.00010791347,0.005348767,0.00007822418,0.00004022071,0.0001094083,0.0000047346234,0.00002365773,0.041988686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767107,0.00007460965,0.0005131047,0.0014440404,0.000044067416,0.0002530831],"domain_scores_gemma":[0.996664,0.00010739667,0.00045459525,0.0026283136,0.00000930397,0.0001364079],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0039554983,0.00018083336,0.0003190671,0.000058278296,0.00044935723,0.00021703719,0.00061407615,0.00013504205,0.16940308],"category_scores_gemma":[0.00092628447,0.00023677264,0.00009145182,0.000016786465,0.00025898698,0.00056084583,0.00090869586,0.00016592105,0.46700576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008198462,0.00045044336,0.9643772,0.000038654212,0.00007555879,0.000004513135,0.0018192038,0.001714368,0.0015231275,0.021734586,0.0038447923,0.0043355487],"study_design_scores_gemma":[0.0010362935,0.0000036044091,0.91484135,0.000018429204,0.000013994116,0.000011764792,0.00014126227,0.0067434236,0.013594254,0.036958635,0.026153427,0.00048356914],"about_ca_topic_score_codex":0.0002533626,"about_ca_topic_score_gemma":0.000002620891,"teacher_disagreement_score":0.29760268,"about_ca_system_score_codex":0.00027632216,"about_ca_system_score_gemma":0.000016257496,"threshold_uncertainty_score":0.96553075},"labels":[],"label_agreement":null},{"id":"W6907774302","doi":"10.25384/sage.12902080","title":"Supplemental Material, sj-pdf-1-eax-10.1177_2167696820946894 - Modeling the Reduction of Attrition in Campus Mental Health Services: A Discrete Choice Conjoint Experiment","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Attrition; Mental health; Reduction (mathematics); Conjoint analysis; Discrete choice","score_opus":0.13016016524827534,"score_gpt":0.29834808356521775,"score_spread":0.1681879183169424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907774302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97062534,0.009126336,0.0004853551,0.0026454588,0.0007445147,0.0006794679,0.015460562,0.0000105037525,0.00022244873],"genre_scores_gemma":[0.99056804,0.0036720587,0.00030426736,0.00024727877,0.0001349311,0.000067500514,0.0048597585,0.000022989854,0.0001232022],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783224,0.00012321126,0.0012072637,0.0004338895,0.0001125496,0.000290825],"domain_scores_gemma":[0.9984987,0.000015608472,0.00082599564,0.0005868464,0.000005196808,0.00006767856],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001960022,0.00015326735,0.00035323697,0.00016033118,0.00039276353,0.00008023365,0.00055209483,0.000034308283,0.041306455],"category_scores_gemma":[0.0000065716704,0.0001610472,0.000068150475,0.00012597328,0.000040163217,0.0006998238,0.00062229374,0.00020198115,0.00008067352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025416892,0.010536278,0.39708453,0.0019446429,0.0026851713,0.000044918364,0.104061864,0.26278538,0.06538434,0.0036931625,0.0885229,0.06071514],"study_design_scores_gemma":[0.016909104,0.001724137,0.078345,0.0013992554,0.00009620757,0.00045615612,0.16883188,0.63302594,0.003358873,0.010071052,0.08341491,0.002367474],"about_ca_topic_score_codex":0.0041997735,"about_ca_topic_score_gemma":0.00017096178,"teacher_disagreement_score":0.37024057,"about_ca_system_score_codex":0.0007216597,"about_ca_system_score_gemma":0.000028840603,"threshold_uncertainty_score":0.95956993},"labels":[],"label_agreement":null},{"id":"W6907866886","doi":"10.25384/sage.22945854","title":"sj-docx-2-mdm-10.1177_0272989X231171912 – Supplemental material for Comparison of Preferences and Data Quality between Discrete Choice Experiments Conducted in Online and Face-to-Face Respondents","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Quality (philosophy); Data quality; Discrete choice; Preference; Survey data collection; Decision tree","score_opus":0.5077313729327458,"score_gpt":0.4431567818742083,"score_spread":0.06457459105853752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907866886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84804296,0.0013083476,0.0002870033,0.0004847307,0.0001493419,0.00045557893,0.14923981,0.000009473274,0.000022755085],"genre_scores_gemma":[0.971911,0.0011553172,0.0010504969,0.000031883268,0.000102346836,0.0000148119,0.025513465,0.000020167376,0.00020051157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768513,0.000077766745,0.0011997767,0.00066896854,0.000082517916,0.00028584406],"domain_scores_gemma":[0.99829984,0.00018783192,0.00058209634,0.00079962506,0.0000075433836,0.00012307218],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020228594,0.00017367856,0.00059430586,0.00021916059,0.00009625484,0.00012195947,0.00081333204,0.00008388286,0.0022925106],"category_scores_gemma":[0.0002062857,0.00019154623,0.000021447242,0.00014536729,0.00007257749,0.0010125522,0.0014561479,0.00011361754,0.000037483376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009919608,0.00009204417,0.9896704,0.000046316,0.00009201264,4.1591508e-7,0.00074814574,0.000020591075,0.0015515984,0.000016627993,0.003384498,0.004278176],"study_design_scores_gemma":[0.0019666415,0.00012646148,0.9854161,0.00009396592,0.000021029635,6.879993e-7,0.0023246072,0.0024463434,0.0009087834,0.0006225303,0.005826546,0.00024630042],"about_ca_topic_score_codex":0.00065086933,"about_ca_topic_score_gemma":0.0003625789,"teacher_disagreement_score":0.12386803,"about_ca_system_score_codex":0.00006136392,"about_ca_system_score_gemma":0.000014693205,"threshold_uncertainty_score":0.99861956},"labels":[],"label_agreement":null},{"id":"W6920504658","doi":"10.6084/m9.figshare.16725888.v1","title":"Additional file 1 of Service providers endorse integrated services model for youth with mental health and substance use challenges: findings from a discrete choice experiment","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute; McMaster University; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Mental health; Substance use; Service provider; Mental health service; Service (business); Mental illness","score_opus":0.16728055332949004,"score_gpt":0.22880299150198888,"score_spread":0.06152243817249883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920504658","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022658147,0.001235578,0.000012691741,0.000248754,0.000010407181,0.00030061367,0.9753952,0.000012886783,0.00012570362],"genre_scores_gemma":[0.035821795,0.000059361708,0.002859175,0.0005977436,0.00001974894,0.000726751,0.95963204,0.000024352743,0.00025906097],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991143,0.0000083478035,0.0002944348,0.00038930448,0.000034651035,0.00015900278],"domain_scores_gemma":[0.9992582,0.00020012262,0.00027702586,0.00015401846,0.00002647212,0.00008414508],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002283125,0.00013717031,0.00024370385,0.000035686695,0.00007793179,0.000042622098,0.00008249972,0.000051704268,0.47317046],"category_scores_gemma":[0.000071931376,0.00014933106,0.00004127532,0.000053276424,0.000008855963,0.00044206675,0.000039761602,0.000055577515,0.000109297616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014101804,0.00022850388,0.0011383232,0.0007494979,0.00023713292,0.0000011041717,0.032960933,0.00084546354,0.00001360979,0.00024602964,0.962949,0.00048938487],"study_design_scores_gemma":[0.005797437,0.0005772132,0.04201078,0.010457229,0.000026262349,0.0000073154174,0.044778556,0.43577528,0.0005862449,0.0011134121,0.4571665,0.0017037691],"about_ca_topic_score_codex":0.00021198532,"about_ca_topic_score_gemma":0.0013071209,"teacher_disagreement_score":0.5057825,"about_ca_system_score_codex":0.00012234681,"about_ca_system_score_gemma":0.000054334138,"threshold_uncertainty_score":0.60895437},"labels":[],"label_agreement":null},{"id":"W6920595634","doi":"10.6082/uchicago.2918","title":"The Impact of Maternal Education on Children's Allocation Preferences across 13 Countries","year":2021,"lang":"en","type":"article","venue":"Knowledge@UChicago (University of Chicago)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Collectivism; Individualism; China; Variety (cybernetics); Developing country","score_opus":0.032866479342934636,"score_gpt":0.2342712838374902,"score_spread":0.20140480449455558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920595634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98501885,0.0011012504,0.00021321086,0.00036462868,0.00020256576,0.00013151344,0.00019089498,0.000011408007,0.012765674],"genre_scores_gemma":[0.9970759,0.0008481486,0.000101982,0.000012142106,0.000051432056,9.2937915e-7,0.000080838545,0.000009282774,0.0018193305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991789,0.000040065603,0.00028571318,0.0002767186,0.000045828736,0.0001728017],"domain_scores_gemma":[0.99904394,0.0000783082,0.00042775832,0.0003285399,0.00006548447,0.000055956752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030257276,0.00012215816,0.00026259953,0.00006414668,0.0002801896,0.000031573178,0.00029189425,0.00009932934,0.00061402353],"category_scores_gemma":[0.000037804377,0.00012626966,0.00017455673,0.0001307392,0.00020955187,0.00021261156,0.00009190389,0.0001208658,0.00030761905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013789056,0.00079483306,0.8801014,0.00005006744,0.0004224546,4.972083e-7,0.0076841097,0.0010120282,0.00014852478,0.0822907,0.002543534,0.024813956],"study_design_scores_gemma":[0.000413906,0.000105451036,0.9884644,0.000032184278,0.000011603096,0.0000024367307,0.0008298899,0.0004594061,0.00071997696,0.00778594,0.0010470857,0.00012770176],"about_ca_topic_score_codex":0.00081633165,"about_ca_topic_score_gemma":0.0005280366,"teacher_disagreement_score":0.10836302,"about_ca_system_score_codex":0.0001608942,"about_ca_system_score_gemma":0.00013568447,"threshold_uncertainty_score":0.6723127},"labels":[],"label_agreement":null},{"id":"W6920676046","doi":"10.6084/m9.figshare.25906506","title":"Additional file 1 of Youth not engaged in education, employment, or training: a discrete choice experiment of service preferences in Canada","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; McGill University; Douglas Mental Health University Institute; University of Toronto; SickKids Foundation; Centre for Addiction and Mental Health","funders":"","keywords":"Service (business); Discrete choice; Preference; Set (abstract data type); Consumer choice","score_opus":0.23664327165069482,"score_gpt":0.2817593425018096,"score_spread":0.0451160708511148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920676046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8297968,0.000092978335,0.0000011271113,0.00013160647,0.000085502434,0.00022201422,0.15635864,3.5994756e-7,0.01331097],"genre_scores_gemma":[0.989596,0.000009036491,0.00080953626,0.000058629805,0.000018832925,0.00019082669,0.00791916,0.0000069773405,0.0013909624],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991869,0.00002569112,0.0004525444,0.0002180549,0.000026750626,0.000090100766],"domain_scores_gemma":[0.9993871,0.00033420612,0.00014839237,0.000099497796,0.0000045320835,0.000026289954],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022200085,0.00006770882,0.00018912114,0.00008314651,0.0000188889,0.000021299362,0.00016538307,0.00002471025,0.56241196],"category_scores_gemma":[0.00010107177,0.00007222112,0.000016399765,0.00012335194,0.0000140203165,0.00019651731,0.00004828543,0.00008927443,0.00008996163],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033219298,0.0015251096,0.17468797,0.00038913818,0.00039195505,0.000008388865,0.19728251,0.0033662014,0.0001992775,0.0016621253,0.45013136,0.17002377],"study_design_scores_gemma":[0.00088101637,0.00012632043,0.63878715,0.0008740415,0.000009812137,0.0000014205418,0.06136136,0.003318251,0.0009584635,0.00053790025,0.29267228,0.0004719808],"about_ca_topic_score_codex":0.3728363,"about_ca_topic_score_gemma":0.7078499,"teacher_disagreement_score":0.562322,"about_ca_system_score_codex":0.00031100927,"about_ca_system_score_gemma":0.00066505995,"threshold_uncertainty_score":0.63134},"labels":[],"label_agreement":null},{"id":"W6920959565","doi":"10.6084/m9.figshare.28455891","title":"Additional file 2 of The employment preferences of young people in Canada: a discrete choice experiment","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Set (abstract data type); Preference; Conjoint analysis; Work (physics)","score_opus":0.0628766476580876,"score_gpt":0.20788541377809977,"score_spread":0.14500876612001218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920959565","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010412883,0.00008652185,1.8145616e-7,0.000029301073,0.000023750548,0.00010681411,0.9411682,0.0000013480761,0.04817104],"genre_scores_gemma":[0.8431472,0.0000015996783,0.000030912805,0.000027594964,0.000007371482,0.00050613907,0.15260604,0.000005059035,0.0036680575],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995717,0.0000052988485,0.00023185063,0.000105886684,0.000021106707,0.00006419211],"domain_scores_gemma":[0.99958146,0.0001227044,0.00017161167,0.00011050861,0.0000034245506,0.00001027854],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000013170191,0.000045169614,0.00011495891,0.000031102503,0.000015120129,0.0000030136703,0.00011324386,0.000017693612,0.9739982],"category_scores_gemma":[0.00019688942,0.000043228825,0.00002982066,0.00006953354,0.000004434071,0.00003591628,0.00006310057,0.000028747745,0.00014739181],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.5670673e-7,0.000013360049,0.03280075,0.000015617936,0.000007997362,1.9774053e-8,0.000044467273,0.0000772761,6.998319e-7,0.00013185172,0.96684575,0.00006153848],"study_design_scores_gemma":[0.00007546289,0.0000051477014,0.8587807,0.00027623036,5.2278676e-7,5.0844793e-8,0.00008338408,0.000255391,0.000108565444,0.00014022533,0.140234,0.000040344068],"about_ca_topic_score_codex":0.12344701,"about_ca_topic_score_gemma":0.5453138,"teacher_disagreement_score":0.9738508,"about_ca_system_score_codex":0.00022309285,"about_ca_system_score_gemma":0.00010270864,"threshold_uncertainty_score":0.88239},"labels":[],"label_agreement":null},{"id":"W6920981949","doi":"10.6084/m9.figshare.27676712.v1","title":"Additional file 1 of Treatment decision-making factors among patients with cervical myelopathy: a discrete-choice experiment","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Table (database); MEDLINE; Research design; Calibration","score_opus":0.053345916635474375,"score_gpt":0.22500288280304695,"score_spread":0.1716569661675726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920981949","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051524535,0.00013025194,0.0000062637905,0.0000034261086,0.00003681294,0.0001690094,0.94455594,0.000022475726,0.0035513027],"genre_scores_gemma":[0.5072436,0.0000011322113,0.0002227471,0.0000098613555,0.000032172527,0.00037520222,0.49191248,0.00001643477,0.00018636619],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99921304,0.0000048860343,0.00029381906,0.0003103925,0.000042599633,0.00013527046],"domain_scores_gemma":[0.9989079,0.0007432011,0.00014121011,0.00014863169,0.0000089165,0.00005011495],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000012584033,0.00013589954,0.00018529328,0.00008534714,0.000050769024,0.0000464853,0.00008495524,0.000056813275,0.98741347],"category_scores_gemma":[0.00024004477,0.000120043704,0.00009070228,0.00007581337,0.000011610685,0.00024558447,0.000045645367,0.000048613394,0.0036762448],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006909115,0.00008154972,0.03292324,0.00002729629,0.000058194142,0.0000013566957,0.0002452159,0.00015845025,6.763094e-8,0.000057171048,0.9644022,0.002038344],"study_design_scores_gemma":[0.00014040295,0.00013971645,0.6764209,0.00084745855,0.0000029517619,1.8973945e-7,0.000039374383,0.0012772236,0.000005573852,0.00012968993,0.3208505,0.00014602838],"about_ca_topic_score_codex":0.000014950082,"about_ca_topic_score_gemma":0.000013308111,"teacher_disagreement_score":0.98373723,"about_ca_system_score_codex":0.00035701104,"about_ca_system_score_gemma":0.000021863765,"threshold_uncertainty_score":0.9970995},"labels":[],"label_agreement":null},{"id":"W6921018874","doi":"10.6084/m9.figshare.27676712","title":"Additional file 1 of Treatment decision-making factors among patients with cervical myelopathy: a discrete-choice experiment","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Table (database); MEDLINE; Research design; Calibration","score_opus":0.053345916635474375,"score_gpt":0.22500288280304695,"score_spread":0.1716569661675726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921018874","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051524535,0.00013025194,0.0000062637905,0.0000034261086,0.00003681294,0.0001690094,0.94455594,0.000022475726,0.0035513027],"genre_scores_gemma":[0.5072436,0.0000011322113,0.0002227471,0.0000098613555,0.000032172527,0.00037520222,0.49191248,0.00001643477,0.00018636619],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99921304,0.0000048860343,0.00029381906,0.0003103925,0.000042599633,0.00013527046],"domain_scores_gemma":[0.9989079,0.0007432011,0.00014121011,0.00014863169,0.0000089165,0.00005011495],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000012584033,0.00013589954,0.00018529328,0.00008534714,0.000050769024,0.0000464853,0.00008495524,0.000056813275,0.98741347],"category_scores_gemma":[0.00024004477,0.000120043704,0.00009070228,0.00007581337,0.000011610685,0.00024558447,0.000045645367,0.000048613394,0.0036762448],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006909115,0.00008154972,0.03292324,0.00002729629,0.000058194142,0.0000013566957,0.0002452159,0.00015845025,6.763094e-8,0.000057171048,0.9644022,0.002038344],"study_design_scores_gemma":[0.00014040295,0.00013971645,0.6764209,0.00084745855,0.0000029517619,1.8973945e-7,0.000039374383,0.0012772236,0.000005573852,0.00012968993,0.3208505,0.00014602838],"about_ca_topic_score_codex":0.000014950082,"about_ca_topic_score_gemma":0.000013308111,"teacher_disagreement_score":0.98373723,"about_ca_system_score_codex":0.00035701104,"about_ca_system_score_gemma":0.000021863765,"threshold_uncertainty_score":0.9970995},"labels":[],"label_agreement":null},{"id":"W6921075226","doi":"10.6084/m9.figshare.28455888.v1","title":"Additional file 1 of The employment preferences of young people in Canada: a discrete choice experiment","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Set (abstract data type); Preference; Work (physics); Conjoint analysis","score_opus":0.0651853488723478,"score_gpt":0.20837469452269625,"score_spread":0.14318934565034847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921075226","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010481117,0.000085202366,1.8532899e-7,0.000029449811,0.000023617527,0.00010700227,0.9420925,0.0000013484329,0.047179595],"genre_scores_gemma":[0.8443143,0.0000015536141,0.000031463635,0.000027485608,0.000007238536,0.0005137273,0.15145713,0.000005046111,0.003642074],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995717,0.0000053005956,0.0002317498,0.000105963874,0.000021111844,0.00006421511],"domain_scores_gemma":[0.9995798,0.00012441259,0.00017137862,0.00011071501,0.0000034319617,0.000010279994],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000013240413,0.00004518357,0.00011493157,0.000031122298,0.0000151190525,0.0000030073302,0.00011330512,0.000017693514,0.9744621],"category_scores_gemma":[0.00019922522,0.000043242555,0.000029826264,0.00006958609,0.0000044341305,0.00003589239,0.00006310919,0.000028754175,0.00014893533],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.583815e-7,0.000013327498,0.033718735,0.000015439042,0.000007975278,1.9209153e-8,0.000044308563,0.000076705335,7.222093e-7,0.00012927972,0.9659331,0.00005974762],"study_design_scores_gemma":[0.00007505474,0.0000051530737,0.86293936,0.00027991843,5.252656e-7,5.0796693e-8,0.00008432083,0.00025737024,0.00010935724,0.00013931745,0.13606913,0.00004047529],"about_ca_topic_score_codex":0.12239693,"about_ca_topic_score_gemma":0.54389215,"teacher_disagreement_score":0.97431314,"about_ca_system_score_codex":0.0002230308,"about_ca_system_score_gemma":0.00010315456,"threshold_uncertainty_score":0.8834471},"labels":[],"label_agreement":null},{"id":"W6929648471","doi":"10.5063/aa/duc_merp.60.16","title":"Marsh Ecology Research Program (MERP): Sweep net data (1980-1982)","year":2011,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ducks Unlimited Canada","funders":"","keywords":"Marsh; Invertebrate; Wetland; Sampling (signal processing); Sampling design; Vegetation (pathology); Functional ecology; Landscape ecology","score_opus":0.3917840276921468,"score_gpt":0.3442106233162846,"score_spread":0.047573404375862216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929648471","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062992936,0.003123065,0.000009651844,0.00014882885,0.0016180371,0.0012320747,0.9791488,0.00006409797,0.0083561465],"genre_scores_gemma":[0.0036393953,0.00672898,0.00054039166,0.00041105784,0.00070672366,0.00031772992,0.98615444,0.00008837833,0.0014128928],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99552476,0.00015212613,0.0012957439,0.0018468583,0.00012800527,0.0010524946],"domain_scores_gemma":[0.99543333,0.00018502263,0.00064832415,0.0034603348,0.000025050127,0.00024790972],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0030253124,0.0004996344,0.0009931558,0.0006585716,0.0002871213,0.00018218033,0.0027110553,0.00089134515,0.015454754],"category_scores_gemma":[0.00023308054,0.00061240717,0.00015079817,0.0002846584,0.00041886396,0.00051139144,0.0018841333,0.0011979879,0.038385518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026034993,0.00039462047,0.009232839,0.000087285225,0.00014568529,0.000019323645,0.00004342551,0.0000039776196,5.2751176e-7,0.0010374909,0.9858951,0.0031136868],"study_design_scores_gemma":[0.0005117087,0.0003075553,0.044110864,0.000026019645,0.00004003761,0.00001452502,0.00004430236,0.0004182604,0.000002259165,0.0028301633,0.95107985,0.0006144594],"about_ca_topic_score_codex":0.004651072,"about_ca_topic_score_gemma":0.0012561814,"teacher_disagreement_score":0.034878027,"about_ca_system_score_codex":0.00046540285,"about_ca_system_score_gemma":0.00010218961,"threshold_uncertainty_score":0.9996327},"labels":[],"label_agreement":null},{"id":"W6930995655","doi":"10.5281/zenodo.3958179","title":"Fig. 20 in Cranial anatomy of tyrannosaurid dinosaurs from the Late Cretaceous of Alberta, Canada","year":2003,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cretaceous; Dorsum; Skull; Extant taxon","score_opus":0.03347651799248688,"score_gpt":0.19849491553964818,"score_spread":0.1650183975471613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930995655","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044759944,0.0009174877,0.00007234781,0.0006552738,0.00021202552,0.00047062483,0.0038336262,0.000033941127,0.9490447],"genre_scores_gemma":[0.827624,0.0015163594,0.000104428334,0.0005671953,0.00021374486,2.430937e-7,0.0048341877,0.0047498713,0.16038996],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989306,0.00008406098,0.00043483076,0.00028867592,0.0000784473,0.00018339031],"domain_scores_gemma":[0.99907327,0.000036060097,0.0004273689,0.00039531602,0.000018744242,0.000049266902],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028537933,0.0001415483,0.00030823762,0.00016271282,0.00013931424,0.000044311266,0.0005637468,0.00009855038,0.048599504],"category_scores_gemma":[0.00015661429,0.00014930514,0.000052582687,0.00016716786,0.000104249324,0.000042781736,0.00016579436,0.00018150231,0.0016936962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034811794,0.000109132794,0.0012130092,0.0000492596,0.00012308621,0.0000034341185,0.0005611801,0.00035927337,0.00002605414,0.007178467,0.9877949,0.0025473903],"study_design_scores_gemma":[0.00047431164,0.00005075366,0.005623594,0.000043497937,0.0000066877806,0.000001337782,0.00006905025,0.00011429747,0.000034729845,0.0002576135,0.9931797,0.00014447009],"about_ca_topic_score_codex":0.13120785,"about_ca_topic_score_gemma":0.0109943515,"teacher_disagreement_score":0.78865474,"about_ca_system_score_codex":0.00020101118,"about_ca_system_score_gemma":0.0000075715907,"threshold_uncertainty_score":0.9990836},"labels":[],"label_agreement":null},{"id":"W6931140726","doi":"10.5281/zenodo.4523271","title":"Regarder Pour une histoire... (2021) streaming vf Film complet Gratuit Voir oig","year":2021,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Filter (signal processing); Nucleofection; Field (mathematics)","score_opus":0.08377216674179777,"score_gpt":0.2201741152830834,"score_spread":0.13640194854128562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931140726","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11816212,0.017597806,0.02058039,0.036040265,0.0029540919,0.0008269542,0.004550624,0.0004197864,0.79886794],"genre_scores_gemma":[0.7673704,0.0043271496,0.0019922608,0.00094140053,0.00082439673,2.2180818e-7,0.009067416,0.0023968774,0.2130799],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974688,0.0002310372,0.0007197413,0.00086690864,0.0001220885,0.0005914133],"domain_scores_gemma":[0.9984909,0.000044599332,0.00037942763,0.0006940865,0.00017565544,0.00021531603],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007219735,0.00026070498,0.00039958578,0.0002163563,0.0024219335,0.0007847864,0.0006362142,0.00017635534,0.13126978],"category_scores_gemma":[0.00046071372,0.00039441878,0.00015869564,0.0005083627,0.00034836214,0.00046901373,0.000988373,0.00041271996,0.055396788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036996902,0.0007104524,0.00080442283,0.00021153252,0.0002578426,0.00008150539,0.0022354152,0.0025265592,0.0006200533,0.09779346,0.67574704,0.21897475],"study_design_scores_gemma":[0.0008907977,0.00011574991,0.014118011,0.00007451434,0.000026804239,0.00011315633,0.0010278831,0.0048049465,0.00015440799,0.0026396597,0.97562945,0.0004046444],"about_ca_topic_score_codex":0.0001853817,"about_ca_topic_score_gemma":0.00000796976,"teacher_disagreement_score":0.64920825,"about_ca_system_score_codex":0.001032728,"about_ca_system_score_gemma":0.000008405818,"threshold_uncertainty_score":0.99985075},"labels":[],"label_agreement":null},{"id":"W6931342983","doi":"10.5281/zenodo.7888712","title":"Rosa arvensis Huds.","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Identification (biology); Selection (genetic algorithm); Taxonomy (biology)","score_opus":0.09246006177006104,"score_gpt":0.20439864555242132,"score_spread":0.11193858378236028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931342983","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27867198,0.00019366847,0.026211536,0.0012998581,0.0002653262,0.00031947333,0.00031349534,0.00048879965,0.6922359],"genre_scores_gemma":[0.99662274,0.00007302231,0.0003271706,0.00027426044,0.00012302895,3.3190272e-8,0.00068053463,0.00052518654,0.0013740504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903995,0.000058992646,0.00029160437,0.00034090516,0.000043425214,0.00022509845],"domain_scores_gemma":[0.9993922,0.000012263017,0.0001411721,0.00032688896,0.00003163872,0.00009579801],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008433424,0.00009081132,0.00014784819,0.00013176633,0.00083558133,0.0002882732,0.00039223552,0.000051308194,0.020032689],"category_scores_gemma":[0.0002559924,0.00011682802,0.000054209573,0.00013522412,0.00008022105,0.0002258935,0.00032456528,0.00011316595,0.05587944],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003779849,0.00031988826,0.002098102,0.00007061784,0.00010791966,0.0000026511245,0.0015702796,0.0007312597,0.00081540877,0.5583268,0.26828608,0.16763322],"study_design_scores_gemma":[0.00034604984,0.00008974127,0.022666093,0.0000047762987,0.0000030056656,0.000011436278,0.00005864071,0.0018055635,0.00009592259,0.004829319,0.96994114,0.00014832521],"about_ca_topic_score_codex":0.000019287387,"about_ca_topic_score_gemma":1.9619709e-7,"teacher_disagreement_score":0.71795076,"about_ca_system_score_codex":0.00013608289,"about_ca_system_score_gemma":4.111898e-7,"threshold_uncertainty_score":0.98086315},"labels":[],"label_agreement":null},{"id":"W6931471575","doi":"10.5281/zenodo.7819381","title":"Achnanthidium caledonicum Lange-Bert. (Lange-Bertalot 1999","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Raphe; Tapering; Adventitia; Bilateral symmetry; Crest","score_opus":0.09768992894826424,"score_gpt":0.21008628253625442,"score_spread":0.11239635358799017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931471575","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40382066,0.0014843907,0.0020550669,0.0033481652,0.00070111104,0.0008348764,0.002102558,0.0007514075,0.58490175],"genre_scores_gemma":[0.9915201,0.000110785484,0.00010228737,0.00038903678,0.000118344375,3.7062347e-7,0.0021743777,0.0006898496,0.0048948545],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986939,0.00009883827,0.00034887693,0.0004451121,0.00009139588,0.0003219099],"domain_scores_gemma":[0.99928397,0.000014913748,0.00018367627,0.00038658374,0.000021752247,0.00010913346],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00083090056,0.00012292119,0.00018247195,0.00019112264,0.001939252,0.00021930688,0.0006762873,0.00004321122,0.061255854],"category_scores_gemma":[0.0000972848,0.00016175027,0.000072703726,0.00023883473,0.00008175032,0.000213764,0.0010484273,0.0002588938,0.021414561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013224615,0.0008271006,0.0031807064,0.00008783413,0.0002147953,0.000031627467,0.0048740185,0.0015584817,0.0013204042,0.20110501,0.7550575,0.03161027],"study_design_scores_gemma":[0.00050483475,0.00015861396,0.010557532,0.0000028509028,0.0000054688794,0.000046552195,0.00034641672,0.00081464316,0.00006001262,0.0011670083,0.9861323,0.00020375388],"about_ca_topic_score_codex":0.00014407268,"about_ca_topic_score_gemma":0.0000011718155,"teacher_disagreement_score":0.5876994,"about_ca_system_score_codex":0.0004363141,"about_ca_system_score_gemma":0.0000017631188,"threshold_uncertainty_score":0.9993601},"labels":[],"label_agreement":null},{"id":"W6931478878","doi":"10.5281/zenodo.5032336","title":"Stone with sensing components","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Electronic circuit; Flashing; Variety (cybernetics); Electrical network; Electrical contacts; Power (physics); Inductive sensor; Electronics","score_opus":0.11883987328061846,"score_gpt":0.2093981097502667,"score_spread":0.09055823646964825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931478878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7532199,0.00023113628,0.01660453,0.00078899687,0.000105031555,0.00017682694,0.00018293939,0.00021997353,0.22847067],"genre_scores_gemma":[0.9958448,0.00006936181,0.0010152118,0.00017698531,0.000053468062,8.031799e-9,0.0010883404,0.00045689807,0.0012949405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918735,0.000046064033,0.00021425355,0.0003185282,0.00004631157,0.00018747614],"domain_scores_gemma":[0.99949336,0.0000074334293,0.00010778715,0.00026121596,0.000052867472,0.00007732812],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003232282,0.000078706704,0.000131347,0.00008312175,0.0007706352,0.00027026588,0.00018645464,0.00003334694,0.011818191],"category_scores_gemma":[0.00007012631,0.00009642483,0.0000291858,0.00016163175,0.00007203888,0.00019012897,0.0002788964,0.0001071528,0.015104929],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039026994,0.0020317875,0.009327772,0.00039388836,0.0010718883,0.00032621805,0.012957166,0.006153097,0.029471034,0.43461758,0.20070426,0.30255502],"study_design_scores_gemma":[0.0008643869,0.00010523911,0.041651174,0.00001969398,0.0000069742964,0.000161813,0.00038844318,0.0020975063,0.00067264563,0.0014714331,0.95231485,0.0002458282],"about_ca_topic_score_codex":0.000015058225,"about_ca_topic_score_gemma":3.1766888e-7,"teacher_disagreement_score":0.7516106,"about_ca_system_score_codex":0.00015800043,"about_ca_system_score_gemma":0.0000010111311,"threshold_uncertainty_score":0.98908514},"labels":[],"label_agreement":null},{"id":"W6931514469","doi":"10.5281/zenodo.5169673","title":"Figure 16-29. Apidae. 16 in The bees of Greater Puerto Rico (Hymenoptera: Apoidea: Anthophila)","year":2008,"lang":"es","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Apoidea; Apidae; Foraging; Honey Bees; Ophidia","score_opus":0.07123203641340392,"score_gpt":0.21441910293938957,"score_spread":0.14318706652598565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931514469","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.090162694,0.0017456824,0.00051722914,0.00095764233,0.0002497517,0.0010501462,0.0010771247,0.000103290564,0.9041364],"genre_scores_gemma":[0.94559747,0.0063943723,0.00009862765,0.00034592202,0.00036349957,4.5305487e-7,0.0024108659,0.0024641994,0.04232458],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973831,0.00029821062,0.0008924357,0.00078023976,0.00016738393,0.00047862678],"domain_scores_gemma":[0.9982933,0.000044370525,0.0007023539,0.0007979994,0.000059979142,0.00010200666],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011107384,0.0003562805,0.0005801862,0.0006187117,0.0007986326,0.0003662719,0.0013507963,0.00027743794,0.089327045],"category_scores_gemma":[0.00020322666,0.00036401497,0.00016063267,0.00044760562,0.0003627244,0.00026714316,0.0006620559,0.00046613906,0.028959082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001908867,0.0011965741,0.0100059165,0.00063957,0.00049162377,0.000049695755,0.007014778,0.0004171238,0.00015298634,0.023949213,0.90333813,0.052553512],"study_design_scores_gemma":[0.00096267974,0.00027213458,0.035651222,0.00011087179,0.000020829417,0.000040348383,0.00049163133,0.00012563104,0.000050533075,0.00058628205,0.96128094,0.00040686587],"about_ca_topic_score_codex":0.00019199078,"about_ca_topic_score_gemma":0.0000035010996,"teacher_disagreement_score":0.8618119,"about_ca_system_score_codex":0.00056490063,"about_ca_system_score_gemma":0.0000041232047,"threshold_uncertainty_score":0.9998812},"labels":[],"label_agreement":null},{"id":"W6931558345","doi":"10.5281/zenodo.5694442","title":"Pleurotrocha sigmoidea Skorikov 1896","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trunk; Cilium; Bristle; Dorsum; Pectoral girdle; Appendage","score_opus":0.10058157803014943,"score_gpt":0.215716796177573,"score_spread":0.11513521814742357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931558345","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30182412,0.00048126237,0.014314604,0.0027103247,0.00023249158,0.0005245514,0.00031736167,0.00064940756,0.6789459],"genre_scores_gemma":[0.99581516,0.00014392954,0.00032579675,0.00053377927,0.00013929355,3.0991753e-8,0.0006141848,0.00042094523,0.0020068942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886215,0.000043772274,0.00035200248,0.0004029291,0.000056065914,0.0002831109],"domain_scores_gemma":[0.9993369,0.000008496252,0.00015926023,0.00034265348,0.000036883375,0.000115824536],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005669441,0.000115657436,0.00016589083,0.00017306185,0.0009213195,0.0003312332,0.0005007172,0.00005774905,0.017309787],"category_scores_gemma":[0.00016803457,0.00014973377,0.00006109296,0.00019055624,0.00006337406,0.00032225437,0.00021586151,0.00015206535,0.039402984],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008199648,0.0005577916,0.0008054321,0.000041904666,0.000093354945,0.000013374112,0.0022737929,0.0008088391,0.0030573278,0.59758633,0.21983488,0.17484498],"study_design_scores_gemma":[0.0005119569,0.00023467017,0.036174495,0.0000063666207,0.0000037990487,0.000023952227,0.00008808934,0.000768244,0.00016102474,0.0099659525,0.95184594,0.0002155294],"about_ca_topic_score_codex":0.0000116980455,"about_ca_topic_score_gemma":9.117245e-8,"teacher_disagreement_score":0.732011,"about_ca_system_score_codex":0.00020429329,"about_ca_system_score_gemma":8.0744223e-7,"threshold_uncertainty_score":0.9835885},"labels":[],"label_agreement":null},{"id":"W6931627103","doi":"10.5281/zenodo.7415126","title":"Metabolomics and lipidomics reveal the effects of the toxic dinoflagellate Alexandrium catenella on immune cells of the blue mussel, Mytilus edulis (polar fractions NMR spectra)","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Mytilus; Metabolomics; Dinoflagellate; Lipidomics; Immune system; Algae","score_opus":0.027790236854882914,"score_gpt":0.18306202683755682,"score_spread":0.1552717899826739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931627103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889906,0.0006007996,0.0001851139,0.0011407387,0.0004894685,0.0005981711,0.00038828497,0.000026653715,0.007580153],"genre_scores_gemma":[0.99774164,0.0005772231,0.000025339777,0.00017604246,0.000052812644,2.5365017e-7,0.000047173082,0.00021791244,0.0011615843],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887496,0.0002236654,0.00037698256,0.00026005297,0.00008960044,0.00017476326],"domain_scores_gemma":[0.99889404,0.000088353525,0.00041251857,0.0005426409,0.000026116777,0.000036359983],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007920376,0.00010767026,0.00019174373,0.00008118534,0.0015416468,0.00008286062,0.00074215874,0.000037275368,0.0014121038],"category_scores_gemma":[0.0002091952,0.00008434213,0.00010353593,0.0002690761,0.00024708454,0.00008714498,0.00096054224,0.000300663,0.00024040107],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072446425,0.0028722894,0.0058027203,0.00097525003,0.0016105318,0.0000062798513,0.03369496,0.0762451,0.48087424,0.20427716,0.16922908,0.023687914],"study_design_scores_gemma":[0.002127353,0.0006771236,0.13869019,0.000046267938,0.00012268328,0.000052614847,0.0017548737,0.0033017923,0.07675974,0.0030662292,0.77291816,0.00048300452],"about_ca_topic_score_codex":0.00006879068,"about_ca_topic_score_gemma":6.5573244e-7,"teacher_disagreement_score":0.6036891,"about_ca_system_score_codex":0.00016478455,"about_ca_system_score_gemma":0.0000035376604,"threshold_uncertainty_score":0.9997582},"labels":[],"label_agreement":null},{"id":"W6931687015","doi":"10.5281/zenodo.7289231","title":"numba/numba: Version 0.56.4","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"CUDA; Relation (database); Component (thermodynamics); Regression analysis","score_opus":0.07865498788303148,"score_gpt":0.20453327589133724,"score_spread":0.12587828800830575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931687015","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006443597,0.0007614589,0.0005134651,0.00027630746,0.00034548593,0.0003779139,0.0017730243,0.00052187167,0.9947861],"genre_scores_gemma":[0.039823398,0.0019257336,0.00041906247,0.0005090369,0.0007732691,3.548029e-7,0.019799773,0.014268621,0.92248076],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985747,0.00008263165,0.00034524244,0.00060667493,0.00009218333,0.00029859683],"domain_scores_gemma":[0.9989753,0.000008189128,0.00035608176,0.0005317041,0.000016669166,0.00011206423],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00057674287,0.00018920335,0.0002741279,0.00038886792,0.0010114048,0.0002620108,0.00081113045,0.0001377141,0.64174587],"category_scores_gemma":[0.00010590779,0.00026202068,0.00012020381,0.00021134844,0.000095629024,0.00013124713,0.0010960043,0.00030589555,0.13934611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008138158,0.00007609558,0.00008273023,0.000036560898,0.00006666632,0.0000032565163,0.00016929512,0.000028212173,0.000008644437,0.011989924,0.9831129,0.004417597],"study_design_scores_gemma":[0.00044290096,0.00009348078,0.00080025673,0.000013034573,0.0000093594945,0.000012841708,0.00013753981,0.00009345959,0.0000028568395,0.00059387524,0.9975271,0.00027327385],"about_ca_topic_score_codex":0.00009858471,"about_ca_topic_score_gemma":6.9656693e-7,"teacher_disagreement_score":0.50239974,"about_ca_system_score_codex":0.00055326935,"about_ca_system_score_gemma":0.0000015737272,"threshold_uncertainty_score":0.9999832},"labels":[],"label_agreement":null},{"id":"W6931799674","doi":"10.5281/zenodo.6566856","title":"Antibody Characterization Report for Syndecan-4","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Immunoprecipitation; Characterization (materials science); Cell culture; Monoclonal antibody","score_opus":0.09695870538935634,"score_gpt":0.23649146978513974,"score_spread":0.13953276439578338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931799674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45731816,0.00015831925,0.39656842,0.0020762878,0.00080075435,0.0015602736,0.0036361474,0.0006046847,0.13727695],"genre_scores_gemma":[0.9212339,0.000049897702,0.0002463469,0.00023300496,0.00012610087,6.7133215e-7,0.07424161,0.00069425727,0.0031742305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988756,0.00005098893,0.00039149573,0.00040276308,0.00006122958,0.00021787646],"domain_scores_gemma":[0.9992923,0.000010158547,0.00028357067,0.00030579502,0.000042414384,0.00006576886],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010611555,0.00008816439,0.00014768448,0.0001790317,0.0020083524,0.00021479925,0.0004023346,0.00002994443,0.020276269],"category_scores_gemma":[0.0001650236,0.00012514391,0.00006122986,0.00018395936,0.000044689652,0.00024320366,0.00049205264,0.000115004674,0.0029122569],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047441493,0.0021776918,0.010340889,0.00038089888,0.0005793565,0.0000944927,0.008597073,0.0044046533,0.1891576,0.61650413,0.071377866,0.09591095],"study_design_scores_gemma":[0.00038889472,0.0001455448,0.019008085,0.000002152637,0.000004246455,0.000101072714,0.00014078671,0.001763777,0.000052215277,0.0013891993,0.97685516,0.00014889575],"about_ca_topic_score_codex":0.000011119322,"about_ca_topic_score_gemma":4.9552384e-8,"teacher_disagreement_score":0.9054773,"about_ca_system_score_codex":0.0003181992,"about_ca_system_score_gemma":0.0000016410294,"threshold_uncertainty_score":0.9992909},"labels":[],"label_agreement":null},{"id":"W6945257737","doi":"10.25384/sage.17143561","title":"sj-docx-2-cpa-10.1177_07067437211044717 - Supplemental material for Youth Perspectives on Integrated Youth Services: A Discrete Choice Conjoint Experiment","year":2021,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Conjoint analysis; Preference; Discrete choice","score_opus":0.14372780856307102,"score_gpt":0.2923479159375231,"score_spread":0.14862010737445205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945257737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80776125,0.007869787,0.002253401,0.00080362963,0.00093619945,0.00068317045,0.17682849,0.000044703254,0.0028193467],"genre_scores_gemma":[0.96289486,0.002275995,0.0014216346,0.0004025291,0.0005703266,0.000032813055,0.03137126,0.000061493294,0.0009691012],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99758494,0.00004831364,0.0009317144,0.00090549403,0.00008725928,0.00044227744],"domain_scores_gemma":[0.9982081,0.00005013347,0.0005795157,0.0009656452,0.0000306276,0.00016597296],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007463719,0.0003072862,0.0005250488,0.00013532759,0.0002482116,0.00041295652,0.000614881,0.00010986681,0.04278378],"category_scores_gemma":[0.000066249464,0.0003259068,0.00015482734,0.00010855625,0.000062358275,0.0008462616,0.00041188626,0.00018843588,0.00036068767],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061512757,0.015957562,0.28620943,0.0014398693,0.013375672,0.0003190775,0.45411655,0.0025853766,0.04048952,0.02123485,0.11441792,0.04370289],"study_design_scores_gemma":[0.017234838,0.0014018934,0.033314265,0.0014113873,0.0004477875,0.000060224847,0.7753671,0.009677827,0.028020391,0.0038167632,0.12602504,0.003222499],"about_ca_topic_score_codex":0.000581097,"about_ca_topic_score_gemma":0.00009413285,"teacher_disagreement_score":0.32125053,"about_ca_system_score_codex":0.00046421232,"about_ca_system_score_gemma":0.000046858444,"threshold_uncertainty_score":0.9999193},"labels":[],"label_agreement":null},{"id":"W6958447533","doi":"10.6084/m9.figshare.28455891.v1","title":"Additional file 2 of The employment preferences of young people in Canada: a discrete choice experiment","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Set (abstract data type); Preference; Conjoint analysis; Work (physics)","score_opus":0.0628766476580876,"score_gpt":0.20788541377809977,"score_spread":0.14500876612001218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958447533","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010412883,0.00008652185,1.8145616e-7,0.000029301073,0.000023750548,0.00010681411,0.9411682,0.0000013480761,0.04817104],"genre_scores_gemma":[0.8431472,0.0000015996783,0.000030912805,0.000027594964,0.000007371482,0.00050613907,0.15260604,0.000005059035,0.0036680575],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995717,0.0000052988485,0.00023185063,0.000105886684,0.000021106707,0.00006419211],"domain_scores_gemma":[0.99958146,0.0001227044,0.00017161167,0.00011050861,0.0000034245506,0.00001027854],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000013170191,0.000045169614,0.00011495891,0.000031102503,0.000015120129,0.0000030136703,0.00011324386,0.000017693612,0.9739982],"category_scores_gemma":[0.00019688942,0.000043228825,0.00002982066,0.00006953354,0.000004434071,0.00003591628,0.00006310057,0.000028747745,0.00014739181],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.5670673e-7,0.000013360049,0.03280075,0.000015617936,0.000007997362,1.9774053e-8,0.000044467273,0.0000772761,6.998319e-7,0.00013185172,0.96684575,0.00006153848],"study_design_scores_gemma":[0.00007546289,0.0000051477014,0.8587807,0.00027623036,5.2278676e-7,5.0844793e-8,0.00008338408,0.000255391,0.000108565444,0.00014022533,0.140234,0.000040344068],"about_ca_topic_score_codex":0.12344701,"about_ca_topic_score_gemma":0.5453138,"teacher_disagreement_score":0.9738508,"about_ca_system_score_codex":0.00022309285,"about_ca_system_score_gemma":0.00010270864,"threshold_uncertainty_score":0.88239},"labels":[],"label_agreement":null},{"id":"W6958520305","doi":"10.6084/m9.figshare.26577374.v1","title":"Additional file 1 of Therapeutic preference for Alzheimer’s disease treatments: a discrete choice experiment with caregivers and neurologists","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Preference; Table (database); Affect (linguistics); Disease; Sensitivity (control systems)","score_opus":0.19215611986802206,"score_gpt":0.24988750646039987,"score_spread":0.05773138659237781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958520305","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006764022,0.0021887408,0.000005428486,0.000053724336,0.000013751124,0.00025900197,0.99532956,0.00001534634,0.0014580268],"genre_scores_gemma":[0.3156549,0.00001345188,0.00014751786,0.000055991026,0.00003142259,0.002360369,0.681208,0.000015981943,0.00051233417],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951357,0.0000038163275,0.00012386797,0.0002509451,0.000017172559,0.00009061426],"domain_scores_gemma":[0.99950445,0.00027080002,0.000075470445,0.00009694111,0.0000049056052,0.000047440717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000009157643,0.00008635331,0.00010624571,0.00003503351,0.00003446885,0.000026704796,0.00005216738,0.00002458485,0.85562825],"category_scores_gemma":[0.000058896065,0.00008104963,0.000041924934,0.000027314303,0.000016340393,0.00014334668,0.0000221614,0.00002706423,0.0003933713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030464753,0.000035781868,0.00040559957,0.00007646185,0.00014787346,0.000001748282,0.00017148112,0.000059245485,6.6800766e-7,0.0004629249,0.9970544,0.0015533563],"study_design_scores_gemma":[0.00035542445,0.00027207748,0.12598336,0.00039064907,0.00003040649,0.0000013321296,0.000050077324,0.0045132623,0.000017368882,0.0007042794,0.86748374,0.00019803393],"about_ca_topic_score_codex":0.0000099600775,"about_ca_topic_score_gemma":0.0000035857759,"teacher_disagreement_score":0.85523486,"about_ca_system_score_codex":0.000035930203,"about_ca_system_score_gemma":0.000016337492,"threshold_uncertainty_score":0.5056124},"labels":[],"label_agreement":null},{"id":"W6958595752","doi":"10.6084/m9.figshare.25906506.v1","title":"Additional file 1 of Youth not engaged in education, employment, or training: a discrete choice experiment of service preferences in Canada","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; McGill University; Douglas Mental Health University Institute; University of Toronto; SickKids Foundation; Centre for Addiction and Mental Health","funders":"","keywords":"Service (business); Discrete choice; Preference; Set (abstract data type); Consumer choice","score_opus":0.24108297618757332,"score_gpt":0.253577076088811,"score_spread":0.012494099901237704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958595752","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052631456,0.00018600193,8.3926864e-8,0.000056685993,0.00004204657,0.00012546955,0.9438743,0.000003500795,0.003080438],"genre_scores_gemma":[0.6314379,0.0000029561706,0.000052912073,0.00009029472,0.000023167227,0.0004515034,0.36762917,0.0000070929927,0.00030501932],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992542,0.000019770847,0.00040268057,0.00019357755,0.00003116808,0.000098597644],"domain_scores_gemma":[0.99923766,0.00048798945,0.00014674755,0.00009325514,0.0000070701394,0.000027254453],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000061919156,0.00007427471,0.0001678581,0.00009739763,0.000016989321,0.000009876854,0.00010401318,0.000030575597,0.94248456],"category_scores_gemma":[0.0004346263,0.00008098608,0.000023522778,0.00013806405,0.0000037780617,0.00013454905,0.000028694156,0.0001079054,0.00021304669],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009406778,0.00006488007,0.0026307758,0.00019805584,0.000021030126,6.795302e-7,0.00570754,0.00024209576,0.0000027530682,0.00007255204,0.98967856,0.0013716562],"study_design_scores_gemma":[0.00040499447,0.00006699114,0.64406,0.003869297,0.0000034852021,9.785183e-7,0.014344541,0.0028994142,0.00023044243,0.00028157583,0.33347163,0.00036662768],"about_ca_topic_score_codex":0.124021426,"about_ca_topic_score_gemma":0.41355035,"teacher_disagreement_score":0.94227153,"about_ca_system_score_codex":0.00033509659,"about_ca_system_score_gemma":0.0005592618,"threshold_uncertainty_score":0.8818118},"labels":[],"label_agreement":null},{"id":"W6958758667","doi":"10.6084/m9.figshare.25194752.v1","title":"Additional file 1 of Examining attributes of retailers that influence where cannabis is purchased: a discrete choice experiment","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Consumer choice; Consumer behaviour; Discrete choice; Cannabis; Perception","score_opus":0.131301318993229,"score_gpt":0.2414503452718159,"score_spread":0.11014902627858691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958758667","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007829008,0.0014610514,0.0000018564169,0.00008816469,0.000027065777,0.00011718263,0.9869464,0.00001699917,0.0035122654],"genre_scores_gemma":[0.33070165,0.000018812229,0.0002269805,0.00008779574,0.00004895456,0.0007324051,0.6653938,0.000025194331,0.0027644006],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915916,0.0000064524675,0.00035743174,0.000287181,0.00004667655,0.00014310543],"domain_scores_gemma":[0.999232,0.00028160782,0.00024478772,0.00018332255,0.0000123744685,0.000045910314],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004305276,0.000112202004,0.00021388607,0.00008915938,0.00003373055,0.000027776827,0.00014025546,0.00007014835,0.98683095],"category_scores_gemma":[0.00035869124,0.00013213689,0.000089696485,0.00009562311,0.00002223979,0.0003180082,0.00007561171,0.00007652987,0.0028824918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014338906,0.000011098563,0.0013786793,0.0001368817,0.000034333516,7.313628e-7,0.00025013814,0.00007966009,0.000012532064,0.00005369304,0.9977808,0.00025999005],"study_design_scores_gemma":[0.000098689205,0.00005707288,0.09015069,0.0014854133,0.0000030786052,0.0000011848168,0.00015342096,0.0014339002,0.0006727687,0.00014853572,0.9056227,0.00017251706],"about_ca_topic_score_codex":0.000073790005,"about_ca_topic_score_gemma":0.0000101094365,"teacher_disagreement_score":0.98394847,"about_ca_system_score_codex":0.00011265556,"about_ca_system_score_gemma":0.00002870946,"threshold_uncertainty_score":0.99789387},"labels":[],"label_agreement":null},{"id":"W6959396964","doi":"10.7939/82002","title":"Essays on the economics of reclamation: Optimization, preferences, and validity","year":2025,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Land reclamation; Quality (philosophy); Oil sands; Surface mining; Marginal cost; Cost–benefit analysis; Natural resource; Natural (archaeology)","score_opus":0.05240821389786474,"score_gpt":0.16856498911259837,"score_spread":0.11615677521473364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6959396964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6593965,0.00017683531,0.000105141495,0.0005381117,0.00016551156,0.00018555073,0.00009718633,0.0000058453834,0.33932927],"genre_scores_gemma":[0.91165173,0.0069898968,0.001553022,0.0001166862,0.000033716526,0.000002068796,0.0021977401,0.000023569379,0.07743157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999357,0.000022990507,0.00029537367,0.0002409776,0.000015926837,0.00006775591],"domain_scores_gemma":[0.99895996,0.00019602834,0.0005863165,0.0002265796,0.00000721899,0.000023916278],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010407476,0.000115693416,0.00029103525,0.00014135292,0.00008792229,0.000015602824,0.0002272561,0.00016506405,0.0024847684],"category_scores_gemma":[0.000025918484,0.00013453925,0.00007567457,0.00006672154,0.00005588017,0.00034033778,0.00004769742,0.000095875555,0.000024922518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018437959,0.00015268082,0.08285712,0.00040945946,0.00027017656,2.598528e-7,0.005190712,0.013792146,8.07773e-7,0.88652164,0.009670724,0.00094988925],"study_design_scores_gemma":[0.004349483,0.0009845466,0.5098177,0.001531225,0.00046363007,0.0000019066483,0.017807867,0.073331445,0.0016424719,0.30964893,0.077915415,0.0025053832],"about_ca_topic_score_codex":0.00040865628,"about_ca_topic_score_gemma":0.00014556583,"teacher_disagreement_score":0.5768727,"about_ca_system_score_codex":0.00002959804,"about_ca_system_score_gemma":0.00004427072,"threshold_uncertainty_score":0.9984271},"labels":[],"label_agreement":null},{"id":"W6964288305","doi":"10.25384/sage.22945851","title":"sj-docx-1-mdm-10.1177_0272989X231171912 – Supplemental material for Comparison of Preferences and Data Quality between Discrete Choice Experiments Conducted in Online and Face-to-Face Respondents","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Quality (philosophy); Data quality; Discrete choice; Preference; Survey data collection; Decision tree","score_opus":0.5077497016377751,"score_gpt":0.4431604308131739,"score_spread":0.0645892708246012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6964288305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84487224,0.0013054301,0.00028316397,0.00048239526,0.00014902459,0.00045417322,0.15242164,0.000009497679,0.000022435579],"genre_scores_gemma":[0.97133046,0.0011776171,0.0010619228,0.000032066266,0.00010264527,0.000014642028,0.02606334,0.000020264355,0.0001970425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976784,0.000078044104,0.0012029387,0.0006710099,0.000082803934,0.00028680492],"domain_scores_gemma":[0.9982953,0.00018830529,0.0005836411,0.0008016463,0.000007561514,0.00012353544],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020115809,0.00017437046,0.00059602835,0.00021994015,0.00009637915,0.00012205412,0.0008162765,0.00008422745,0.002287976],"category_scores_gemma":[0.00020491316,0.00019233853,0.000021550777,0.00014602125,0.00007286475,0.0010144132,0.0014615491,0.000114250586,0.000037052472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098936514,0.00009323135,0.98961025,0.00004652098,0.00009208554,4.217478e-7,0.00074848265,0.000020549642,0.001557728,0.000016037502,0.0034098905,0.004305881],"study_design_scores_gemma":[0.0019762036,0.00012605944,0.9853224,0.000094496754,0.000021088093,7.0741874e-7,0.002355593,0.0024395336,0.0008811065,0.0006202239,0.005915631,0.00024691148],"about_ca_topic_score_codex":0.0006361956,"about_ca_topic_score_gemma":0.00036467082,"teacher_disagreement_score":0.12645823,"about_ca_system_score_codex":0.00006156512,"about_ca_system_score_gemma":0.000014708522,"threshold_uncertainty_score":0.9986241},"labels":[],"label_agreement":null},{"id":"W6976494625","doi":"10.60692/berpf-hc092","title":"The inner-city inhabitants and foreigners' contribution commitment to improving air pollution: Dataset from a field survey in Hanoi","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Stratified sampling; Air pollution; Contingent valuation; Air quality index; Field survey; Survey data collection; Valuation (finance); Survey methodology","score_opus":0.09188857361288467,"score_gpt":0.19996595280922838,"score_spread":0.1080773791963437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976494625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738884,0.000026543681,0.017992387,0.0010884968,0.00015588933,0.00044250957,0.0061801374,0.000019842317,0.00020580122],"genre_scores_gemma":[0.9973627,0.000001150062,0.000061596664,0.0018240687,0.00003169359,0.000047719972,0.0006615923,0.000004178808,0.0000053252743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894184,0.000037499754,0.0006533329,0.00016979214,0.000037847723,0.00015967779],"domain_scores_gemma":[0.99941295,0.000025650837,0.00027960527,0.00018818847,0.000012158443,0.000081469814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007320748,0.000104724,0.00019888625,0.00006660533,0.00014698741,0.000114526185,0.00011699521,0.000070292816,0.00002289519],"category_scores_gemma":[0.00010898611,0.00009593658,0.000022095173,0.00010519447,0.000016474201,0.0005234814,0.00010273117,0.00007121556,0.00046754765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058174744,0.0000013155374,0.99300444,0.00001486616,0.000013854103,2.2674304e-7,0.0051020295,0.00019189803,3.969268e-7,0.00073781476,0.00054658,0.00032842753],"study_design_scores_gemma":[0.000821558,0.000057135614,0.98926324,0.00001419715,0.0000029135574,7.1871557e-7,0.0015564464,0.006987827,0.00006751728,0.000022010447,0.0010816978,0.00012472799],"about_ca_topic_score_codex":0.000569042,"about_ca_topic_score_gemma":0.000039301376,"teacher_disagreement_score":0.023474282,"about_ca_system_score_codex":0.0002093926,"about_ca_system_score_gemma":0.0000071608715,"threshold_uncertainty_score":0.6009535},"labels":[],"label_agreement":null},{"id":"W6977530259","doi":"10.6084/m9.figshare.28775339","title":"Additional file 1 of Patient preferences for key organizational features of primary cardiovascular care in Quebec: a discrete choice experiment","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Key (lock); Primary care; Patient choice; Discrete choice; Multiple choice","score_opus":0.03321055569034391,"score_gpt":0.19769595453274394,"score_spread":0.16448539884240004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977530259","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018026339,0.0021006975,0.000004853785,0.0000095909545,0.000023325136,0.00027404103,0.9863695,0.0000040610053,0.009411324],"genre_scores_gemma":[0.12750015,0.000005745304,0.00062613137,0.00004040476,0.000021144993,0.0010475933,0.87015307,0.00000791658,0.00059783406],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938375,0.000007606487,0.00030554424,0.00019152393,0.000033627413,0.0000779734],"domain_scores_gemma":[0.99943787,0.00021877456,0.00017136698,0.00012929829,0.000028422373,0.000014246281],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000018501894,0.00007360652,0.00022874637,0.00008787517,0.00002416397,0.000008763964,0.00009150147,0.00005556702,0.76293325],"category_scores_gemma":[0.00040568644,0.00008568285,0.000115178125,0.00008417798,0.000009344576,0.000096308,0.000053386037,0.00003338242,0.00007275156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007566113,0.00004014323,0.001272143,0.00022805766,0.00007918216,7.527405e-8,0.00041277675,0.0008241074,0.0000016267604,0.0004005917,0.99539065,0.0013430942],"study_design_scores_gemma":[0.0003637884,0.00005011791,0.33649173,0.0006410317,0.000004937884,1.1338282e-7,0.00034685482,0.00006153674,0.00039496252,0.0004934981,0.6610218,0.00012962199],"about_ca_topic_score_codex":0.00022346411,"about_ca_topic_score_gemma":0.00023090241,"teacher_disagreement_score":0.7628605,"about_ca_system_score_codex":0.00018028311,"about_ca_system_score_gemma":0.000058055135,"threshold_uncertainty_score":0.3494045},"labels":[],"label_agreement":null},{"id":"W6977957757","doi":"10.7939/r3-j3g8-sd94","title":"North Saskatchewan River Basin: Socio-Economic Profiles, 2006","year":2010,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Vegetation (pathology); Work (physics); Flood myth","score_opus":0.015723118191205795,"score_gpt":0.145683762306984,"score_spread":0.12996064411577818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977957757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93158144,0.00003724013,0.00006065607,0.00079365325,0.00022825797,0.00011589301,0.00012523707,0.000019776562,0.06703787],"genre_scores_gemma":[0.9687853,0.00005689581,0.0021852686,0.00015177343,0.000070875656,2.9614375e-7,0.000178041,0.000018734865,0.028552834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999298,0.000008539387,0.00021751928,0.00029618287,0.000015851188,0.00016395943],"domain_scores_gemma":[0.99935883,0.00004528004,0.0002414472,0.00026843164,0.0000021039514,0.00008393307],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006457407,0.00011303394,0.00024055531,0.000103246384,0.000101467864,0.000015307302,0.00028427425,0.000112529866,0.0103860665],"category_scores_gemma":[0.000004228464,0.00016295887,0.00012249177,0.000043380925,0.00020501275,0.0009520643,0.00012322483,0.0001438953,0.0026595287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001396648,0.000047536512,0.96729565,0.000009245445,0.00003747793,0.000001093513,0.002169274,0.00004546821,0.0000068690856,0.017895175,0.012214817,0.00026340724],"study_design_scores_gemma":[0.0006209857,0.000035945905,0.8713138,0.0000037377508,0.00000994345,0.0000015688765,0.0007947484,0.0005044147,0.00011643588,0.0035858047,0.1227578,0.00025477956],"about_ca_topic_score_codex":0.0050788783,"about_ca_topic_score_gemma":0.0020712998,"teacher_disagreement_score":0.11054298,"about_ca_system_score_codex":0.000043881377,"about_ca_system_score_gemma":0.00004497613,"threshold_uncertainty_score":0.998117},"labels":[],"label_agreement":null},{"id":"W6978011165","doi":"10.7298/8943-wa03","title":"Heterogeneous Choice in WTP and WTA for land rental arrangement in Rural China: Choice experiment from the Field","year":2019,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; Central University of Finance and Economics; Nanjing Agricultural University; Zhejiang University; Higher Education Discipline Innovation Project; Government of Jiangsu Province","keywords":"Field (mathematics); Renting; Rental housing; Land use; Willingness to pay","score_opus":0.051309966461279305,"score_gpt":0.19352993556350678,"score_spread":0.14221996910222748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6978011165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961469,0.00036680582,0.00013297195,0.00029260566,0.0001716049,0.00036520034,0.00006605553,0.0000066395983,0.0024512096],"genre_scores_gemma":[0.99907726,0.000108363,0.000043030195,0.00016960099,0.00003572843,0.000004816231,0.000033219327,0.000008890138,0.000519106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993597,0.00001636084,0.00018683473,0.00026563002,0.000010924002,0.00016051986],"domain_scores_gemma":[0.99950325,0.00017183412,0.000092288814,0.00019847196,0.0000013985681,0.000032775704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012074911,0.000099708726,0.00018075324,0.000085859014,0.00004723927,0.000022138935,0.00016148803,0.000057564885,0.0003937736],"category_scores_gemma":[0.000012632671,0.0001105894,0.000049803526,0.000067564426,0.000020468788,0.00014954344,0.000095803814,0.00008651196,0.00008967469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021413662,0.000057288064,0.9962263,0.0000036471808,0.000015932426,9.763468e-7,0.00024996675,0.0023056057,0.000015554391,0.0008100832,0.00012464117,0.00016856617],"study_design_scores_gemma":[0.0017964185,0.00008144968,0.98277956,0.000013255254,0.000004446225,3.650827e-7,0.0002663791,0.0086285155,0.0000785714,0.0008237516,0.0053720754,0.000155184],"about_ca_topic_score_codex":0.0051660314,"about_ca_topic_score_gemma":0.0053060343,"teacher_disagreement_score":0.013446737,"about_ca_system_score_codex":0.00019950839,"about_ca_system_score_gemma":0.0000034500024,"threshold_uncertainty_score":0.7809529},"labels":[],"label_agreement":null},{"id":"W6980180562","doi":"","title":"BayWa r.e. to unite with Polar Racking to distribute 'Made for Canada' racking for the ground mount market","year":2021,"lang":"en","type":"other","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mount; Polar; Work (physics); Current (fluid)","score_opus":0.05981877436755694,"score_gpt":0.21163776403997728,"score_spread":0.15181898967242033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980180562","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053868885,0.004845347,0.6508492,0.009998903,0.0022592808,0.0068762503,0.014204481,0.000085337844,0.30549428],"genre_scores_gemma":[0.03802427,0.00023564279,0.009082334,0.0051142266,0.0008032879,0.0009230124,0.001427086,0.00056110043,0.94382906],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985297,0.000009668141,0.00042676795,0.00058710424,0.00004591061,0.00040089837],"domain_scores_gemma":[0.9989132,0.00019678946,0.00030020069,0.0004474212,0.0000149061825,0.00012744815],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004803755,0.0002846021,0.00046871603,0.00012713275,0.00017641821,0.00013417551,0.00029233628,0.0001278217,0.004694102],"category_scores_gemma":[0.000069851405,0.00025680786,0.00010383124,0.00012476598,0.000020245307,0.00005467008,0.00008641792,0.00009619528,0.00004356384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073739764,0.00003686697,0.014139998,0.0001664807,0.0005078073,0.0000017647601,0.00013620363,0.0010146935,0.0000075951957,0.028187962,0.953242,0.0024848748],"study_design_scores_gemma":[0.00045167422,0.000053924105,0.016268482,0.0000728638,0.000024675157,0.0000015918098,0.00024686876,0.0010284722,0.00001245819,0.0002566334,0.9811655,0.00041681994],"about_ca_topic_score_codex":0.22852336,"about_ca_topic_score_gemma":0.46453762,"teacher_disagreement_score":0.6417669,"about_ca_system_score_codex":0.0010364822,"about_ca_system_score_gemma":0.00009363142,"threshold_uncertainty_score":0.99998844},"labels":[],"label_agreement":null},{"id":"W6980904210","doi":"","title":"Dario Battistella, Retour à l’état de guerre","year":2008,"lang":"fr","type":"review","venue":"OpenEdition (OpenEdition)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Historical Association","funders":"","keywords":"Context (archaeology); Government (linguistics); Period (music); Politics; Relation (database)","score_opus":0.09477530031729356,"score_gpt":0.24948382162378177,"score_spread":0.1547085213064882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980904210","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011659705,0.8260307,0.004446573,0.011911568,0.0087361075,0.0023042776,0.0052909073,0.00011569826,0.13999826],"genre_scores_gemma":[0.0042953333,0.9350925,0.0027759217,0.010087879,0.0020741052,0.0007164317,0.01084907,0.00021915206,0.033889603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99311554,0.000329075,0.00313302,0.0019375086,0.00025010068,0.0012347776],"domain_scores_gemma":[0.9950975,0.00035057255,0.002630781,0.0012909818,0.00008541601,0.00054475263],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013653351,0.0011856508,0.0026777512,0.00055437756,0.0010905743,0.00046250573,0.0010974782,0.0013173455,0.05061959],"category_scores_gemma":[0.00025323898,0.0016096974,0.0011755322,0.0005083425,0.0005711992,0.009233229,0.00039704528,0.0011101585,0.069442734],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000680169,0.0014096879,0.010265987,0.0046474063,0.0012162199,0.00031158628,0.0004677095,0.0013905796,0.000003058861,0.43371704,0.18283828,0.36366442],"study_design_scores_gemma":[0.0011577938,0.00023006827,0.031158108,0.0019762148,0.00023457433,0.00059387326,0.00011598354,0.00047717686,0.000013151245,0.00451818,0.9578657,0.001659172],"about_ca_topic_score_codex":0.00033596394,"about_ca_topic_score_gemma":0.00042428068,"teacher_disagreement_score":0.7750274,"about_ca_system_score_codex":0.00328267,"about_ca_system_score_gemma":0.00035340092,"threshold_uncertainty_score":0.99997914},"labels":[],"label_agreement":null},{"id":"W6987104487","doi":"","title":"Schneider Electric Partners With Canadian Energy to Grow Canadian Off-Grid Solar and Backup Power Markets","year":2014,"lang":"en","type":"other","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Backup; Electric energy; Energy (signal processing); Power (physics); Renewable energy; Solar energy; Electricity; Energy market","score_opus":0.018150328740236272,"score_gpt":0.16731489418767084,"score_spread":0.14916456544743456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987104487","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027299284,0.0020456407,0.00022640378,0.0010540547,0.00026441523,0.00027099758,0.00023578078,0.00003173416,0.99314106],"genre_scores_gemma":[0.19315015,0.0010284571,0.00081581186,0.006148245,0.00023229355,0.00006319642,0.00018723616,0.00043736747,0.7979373],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983293,0.000016043687,0.00032330537,0.00066911714,0.000033858978,0.00062837626],"domain_scores_gemma":[0.99851656,0.000013807454,0.00017056045,0.00038455214,0.000005924842,0.000908617],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027481333,0.0003276117,0.00047224088,0.001075727,0.0000981751,0.00008645006,0.00018608363,0.00032292822,0.022631401],"category_scores_gemma":[0.000014416217,0.00036189958,0.00004927977,0.00014897983,0.000041046987,0.000084042615,0.0000237244,0.0001321181,0.0026236519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006917337,0.00001304435,0.10392089,0.000014968348,0.00017541012,0.000007716804,0.000035318062,0.000015647869,4.1940407e-7,0.02708617,0.8661267,0.0025967993],"study_design_scores_gemma":[0.00026747125,0.000067280336,0.04900094,0.000022717302,0.000011335064,0.0000050880335,0.000016129727,0.00017375886,0.0000023457676,0.00027841545,0.9496111,0.00054337335],"about_ca_topic_score_codex":0.87920547,"about_ca_topic_score_gemma":0.9805539,"teacher_disagreement_score":0.1952038,"about_ca_system_score_codex":0.00071108405,"about_ca_system_score_gemma":0.00017992106,"threshold_uncertainty_score":0.9998833},"labels":[],"label_agreement":null},{"id":"W6987913984","doi":"","title":"Valuing the Recreational Uses of Pakistan’s Wetlands: An Application of the Travel Cost Method","year":2011,"lang":"en","type":"article","venue":"OpenDocs (Institute of Development Studies)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; International Centre for Integrated Mountain Development; Direktoratet for Utviklingssamarbeid; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Recreation; Tourism; Cost–benefit analysis; Key (lock)","score_opus":0.23632429922296805,"score_gpt":0.30892094795080166,"score_spread":0.07259664872783361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987913984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85528904,0.0013566291,0.08277362,0.00028859705,0.00079694943,0.0019474446,0.0001532862,0.0000117771915,0.05738267],"genre_scores_gemma":[0.9768055,0.0003935288,0.022386834,0.00004542972,0.00001589471,0.000100614925,0.000024088456,0.000009023134,0.00021906118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873954,0.00002501734,0.0008318515,0.00022365236,0.00006715082,0.000112777],"domain_scores_gemma":[0.9988221,0.000043913748,0.00078141486,0.00029144544,0.000039207272,0.000021911217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010386509,0.00011249793,0.00033502255,0.00005449833,0.00015373027,0.0000049262235,0.00031539964,0.000034401844,0.00008244819],"category_scores_gemma":[0.000043535372,0.00008395539,0.00006355576,0.00011726383,0.00018180702,0.00022534767,0.000122596,0.00005471583,0.000015403708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046413174,0.00028854105,0.67959666,0.00009065797,0.00049871526,2.05847e-7,0.011192418,0.000785906,0.0003545998,0.28905964,0.00014490134,0.017941317],"study_design_scores_gemma":[0.0005697381,0.00003331255,0.971833,0.000044967477,0.000023714232,0.0000017068355,0.0019230384,0.0003135348,0.012148152,0.0042522843,0.008707449,0.00014909146],"about_ca_topic_score_codex":0.0002616444,"about_ca_topic_score_gemma":0.00018537833,"teacher_disagreement_score":0.29223633,"about_ca_system_score_codex":0.00012317074,"about_ca_system_score_gemma":0.0000515658,"threshold_uncertainty_score":0.34236014},"labels":[],"label_agreement":null},{"id":"W6988124091","doi":"","title":"Willingness to pay estimates for mortality risk reduction: stated preference estimates from the US &amp; Canada","year":2010,"lang":"en","type":"article","venue":"Digital Commons - Michigan Tech (Michigan Technological University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; University of Wisconsin-Madison; Virginia Commonwealth University; University of North Carolina at Chapel Hill; University of California, Los Angeles; Shire; University of Birmingham; University of Pennsylvania","keywords":"Preference; Willingness to pay; Estimation; Mortality rate; Population","score_opus":0.06378072785917203,"score_gpt":0.20158965179286653,"score_spread":0.13780892393369448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6988124091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842585,0.000065667366,0.008067161,0.000912882,0.00028063604,0.00064687507,0.004199533,0.0003126374,0.001256156],"genre_scores_gemma":[0.99540734,0.00003401796,0.0035607996,0.000076922486,0.000044501776,0.000016287917,0.0005084897,0.000028203787,0.00032342726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829185,0.000012784639,0.00046477458,0.000735708,0.000067753026,0.0004271349],"domain_scores_gemma":[0.99835426,0.00028158945,0.00036881908,0.00080343534,0.000035102148,0.00015678743],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023004493,0.0003191406,0.00043937998,0.00013052953,0.0005285034,0.00017788522,0.0010226358,0.0002620944,0.000086061846],"category_scores_gemma":[0.0004642957,0.0002764893,0.00012295943,0.00045443515,0.00041657392,0.00039095065,0.00035814356,0.0006121994,0.00009544006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051326686,0.00018100644,0.9610872,0.000008642393,0.00017468378,0.000004911337,0.00014698836,0.00044716388,0.00087704265,0.034698803,0.0003550396,0.001967185],"study_design_scores_gemma":[0.00096265,0.00018475931,0.762767,0.00003148266,0.0001020251,0.0000103651955,0.0008926754,0.0013981593,0.00619486,0.13477598,0.091568045,0.0011120042],"about_ca_topic_score_codex":0.03269511,"about_ca_topic_score_gemma":0.24361537,"teacher_disagreement_score":0.21092026,"about_ca_system_score_codex":0.00013387001,"about_ca_system_score_gemma":0.00006218782,"threshold_uncertainty_score":0.9999687},"labels":[],"label_agreement":null},{"id":"W6989142744","doi":"","title":"Analyse et évaluation de la méthode de tarification a posteriori avec les données de panel","year":2018,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medium term; Pilotage; Utility theory","score_opus":0.07971053319747118,"score_gpt":0.2201184213694739,"score_spread":0.14040788817200273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989142744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9133296,0.00046814265,0.046850268,0.00056684006,0.000078716555,0.00026432393,0.00012527892,0.00001543405,0.03830142],"genre_scores_gemma":[0.89623034,0.003156664,0.03229385,0.00009727377,0.00008248393,0.000003090088,0.00020367528,0.000064808744,0.067867815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809235,0.0005839722,0.00040920146,0.0004953913,0.000055869055,0.00036319753],"domain_scores_gemma":[0.99850506,0.0002642009,0.0007420363,0.00037336207,0.000015043381,0.000100312354],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023326913,0.00024674213,0.000531444,0.0005445407,0.00013368537,0.000039289982,0.00036971387,0.00048794452,0.0035262837],"category_scores_gemma":[0.00009166121,0.00039521712,0.00019690438,0.00013282735,0.00045803885,0.0002436483,0.00010927621,0.00027046437,0.00048424723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013775204,0.00037143743,0.73271,0.00015371903,0.00022083869,0.000020907915,0.08807149,0.00508846,0.0002652066,0.022974342,0.00053497177,0.14945087],"study_design_scores_gemma":[0.00090409536,0.00006947795,0.91532594,0.00013999778,0.00009307694,0.000008029175,0.0067612343,0.036367215,0.000018441402,0.038320977,0.0016802776,0.00031125566],"about_ca_topic_score_codex":0.44768173,"about_ca_topic_score_gemma":0.7518739,"teacher_disagreement_score":0.30419216,"about_ca_system_score_codex":0.0011970357,"about_ca_system_score_gemma":0.00018369369,"threshold_uncertainty_score":0.99985},"labels":[],"label_agreement":null},{"id":"W6990109614","doi":"","title":"Consumer Valuation of Milk and Chicken Products Near the Best Before Date in Canada","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Logit; Valuation (finance); Contingent valuation; Consumer behaviour; Food products; Consumer demand; Logistic regression","score_opus":0.04094778638372879,"score_gpt":0.19127144844480973,"score_spread":0.15032366206108094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990109614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950455,0.0016969464,0.0000030187828,0.00074641756,0.00021906268,0.00032551098,0.0002382733,0.0000018309664,0.001723439],"genre_scores_gemma":[0.996688,0.00062777137,0.000046795736,0.000022542452,0.000012534652,0.0000011302352,0.00046864638,0.000010507856,0.0021220718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999322,0.000038858292,0.0002492696,0.00022354611,0.00006064241,0.00010568025],"domain_scores_gemma":[0.99907994,0.000039414364,0.0005680693,0.00027869156,0.000016063217,0.000017791068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052299106,0.00010067038,0.0002673211,0.00007306595,0.00021870957,0.000008520819,0.00029169186,0.00005276995,0.00044226847],"category_scores_gemma":[0.000025646652,0.00010425683,0.000043277552,0.00013726234,0.00011576615,0.000107723245,0.00007748969,0.0001714615,0.000018277131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032939747,0.00016198755,0.9249636,0.0005837162,0.00048636564,0.000005907717,0.043489676,0.0035081177,0.0006041291,0.014479837,0.002316899,0.009070357],"study_design_scores_gemma":[0.00036553756,0.000038055838,0.97640795,0.00001345121,0.000053655836,8.1596494e-7,0.016050683,0.0013180762,0.00001727911,0.0011100656,0.00451506,0.00010938156],"about_ca_topic_score_codex":0.69444376,"about_ca_topic_score_gemma":0.66759014,"teacher_disagreement_score":0.051444333,"about_ca_system_score_codex":0.0002215487,"about_ca_system_score_gemma":0.0002491859,"threshold_uncertainty_score":0.48425296},"labels":[],"label_agreement":null},{"id":"W6990109734","doi":"","title":"Consumer choice modeling: comparing and contrasting the MAAM, AHP, TOPSIS and AHP-TOPSIS methodologies","year":2014,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"TOPSIS; Preference; Consumer choice; Analytic hierarchy process; Ideal solution; Product (mathematics); Brand preference; Multiple-criteria decision analysis; Order (exchange)","score_opus":0.15916372035433712,"score_gpt":0.23366946259880705,"score_spread":0.07450574224446993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990109734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98634,0.0016571787,0.004847332,0.00046880258,0.00020511298,0.00020462828,0.000030432688,0.000021237542,0.0062252893],"genre_scores_gemma":[0.9953936,0.0015035737,0.0021545496,0.00004120104,0.000028825456,0.0000011710521,0.00006935412,0.000018633013,0.0007891028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990899,0.000052111292,0.00023406983,0.00039979204,0.000040703384,0.00018344432],"domain_scores_gemma":[0.99891436,0.0002977492,0.00049996487,0.00021761484,0.00001963554,0.000050651837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006321997,0.00019585562,0.0005761825,0.00013614687,0.00031562784,0.000046385267,0.0002009525,0.00019530811,0.000021993472],"category_scores_gemma":[0.00011242953,0.00023279109,0.00008970697,0.000050752125,0.00012827621,0.00019219382,0.00010407156,0.00020596734,0.000032189477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042679836,0.000021024804,0.9868546,0.00014710071,0.00026287392,0.0000010201272,0.0009322117,0.0012731572,0.000025012423,0.0062434324,0.00026799992,0.0039288965],"study_design_scores_gemma":[0.0006502573,0.000031256,0.9274315,0.000050440773,0.00012664215,0.0000015497708,0.013498553,0.053687144,0.000011887326,0.0025705243,0.0016349902,0.00030525975],"about_ca_topic_score_codex":0.004851994,"about_ca_topic_score_gemma":0.04006338,"teacher_disagreement_score":0.059423093,"about_ca_system_score_codex":0.000082658415,"about_ca_system_score_gemma":0.000008585263,"threshold_uncertainty_score":0.97745293},"labels":[],"label_agreement":null},{"id":"W6990938565","doi":"","title":"Estimation des bénéfices associés à l'amélioration de la qualité de l'eau : application de l'approche des comportements défensifs aux producteurs agricoles québécois","year":2014,"lang":"fr","type":"other","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estimation; High speed train; Poison control; Sample (material)","score_opus":0.05290815844352447,"score_gpt":0.2647276903544514,"score_spread":0.2118195319109269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990938565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6114609,0.0016764572,0.3240128,0.00033792836,0.00017710091,0.0008128612,0.00006084178,0.00009294291,0.06136813],"genre_scores_gemma":[0.8759512,0.0022895813,0.0616926,0.00039386805,0.0004417212,0.00045716803,0.0006652158,0.00022866321,0.05788004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99683493,0.00030638458,0.0011937352,0.0009138673,0.00009514049,0.0006559396],"domain_scores_gemma":[0.99747914,0.00022838682,0.0015607739,0.00050443335,0.00003916216,0.00018809315],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0031647873,0.00050681096,0.00068417715,0.00031154216,0.00038597902,0.00026637313,0.0003531748,0.0007083248,0.0017638794],"category_scores_gemma":[0.000344355,0.0006458468,0.00019001294,0.0002242696,0.000523868,0.00046550014,0.000081579245,0.00029889698,0.0013211301],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019668376,0.00067475566,0.79971904,0.0006126019,0.00027650374,8.040429e-7,0.005079487,0.015787793,0.00077947014,0.06663007,0.0029009958,0.10751881],"study_design_scores_gemma":[0.00072892633,0.00012901971,0.7711418,0.0001745213,0.00014219557,0.000014917004,0.0010497583,0.11852183,0.0006728634,0.05334077,0.05323729,0.00084606453],"about_ca_topic_score_codex":0.01766793,"about_ca_topic_score_gemma":0.008663223,"teacher_disagreement_score":0.26449022,"about_ca_system_score_codex":0.002997447,"about_ca_system_score_gemma":0.00023638905,"threshold_uncertainty_score":0.9995993},"labels":[],"label_agreement":null},{"id":"W6996355341","doi":"","title":"Reportability Of Travel Indicators Drawn From Canadian Origin-Destination Surveys","year":2022,"lang":"en","type":"report","venue":"TSpace","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Data collection; Tourism; Work (physics); Population; Sample (material)","score_opus":0.1430887791662964,"score_gpt":0.29233139567241506,"score_spread":0.14924261650611867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996355341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7500372,0.0010391899,0.00021303151,0.00018326247,0.0013895172,0.00036292593,0.00178594,0.00001837843,0.24497053],"genre_scores_gemma":[0.98399615,0.00047916835,0.00021891209,0.000029285535,0.00014184475,0.000051196555,0.0023606275,0.00005504511,0.012667775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99765456,0.000085458356,0.0011421075,0.0007037774,0.00013676117,0.00027733986],"domain_scores_gemma":[0.9972856,0.000091103364,0.0017475062,0.00067288347,0.00002697924,0.00017592729],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0043506324,0.00023977575,0.0007251934,0.0005136782,0.00016524566,0.000036676098,0.00025907255,0.00028717067,0.020134134],"category_scores_gemma":[0.00043918297,0.00033318612,0.00018249791,0.00022730266,0.00012289356,0.000097415264,0.00006552657,0.00036695894,0.0002079914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018562303,0.000053419306,0.9930158,0.000042802927,0.000095238844,0.0000057815328,0.00088362145,0.000098671786,0.0000033792587,0.0010571942,0.0034016725,0.0013405407],"study_design_scores_gemma":[0.00014731161,0.000029898583,0.89212567,0.00001044477,0.000022082353,0.0000031659483,0.0002685222,0.000050646733,0.000029062407,0.002051812,0.10496818,0.00029321446],"about_ca_topic_score_codex":0.78541994,"about_ca_topic_score_gemma":0.11441384,"teacher_disagreement_score":0.6710061,"about_ca_system_score_codex":0.0031501376,"about_ca_system_score_gemma":0.0011672544,"threshold_uncertainty_score":0.999912},"labels":[],"label_agreement":null},{"id":"W6997567585","doi":"","title":"Willingness to pay for health insurance and its associated factors among staff of local authorities in Petaling District, Selangor, 2016","year":2016,"lang":"en","type":"article","venue":"Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Salary; Contingent valuation; Health insurance; Payment; Health care; Population; Quarter (Canadian coin)","score_opus":0.03219466570410894,"score_gpt":0.20000641292255752,"score_spread":0.16781174721844858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997567585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707684,0.00020255434,0.024764672,0.0005626098,0.00033524501,0.00046538367,0.0011823233,0.00004213883,0.0016766518],"genre_scores_gemma":[0.99763435,0.00014719048,0.00029767718,0.00004633864,0.000053408923,0.000008378855,0.00009983156,0.00002283076,0.0016900203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981861,0.000049510385,0.00057117303,0.0006345305,0.000112024696,0.00044667732],"domain_scores_gemma":[0.99886936,0.00014679055,0.0004902154,0.00019212111,0.000063824955,0.00023767576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003578504,0.00027326826,0.0005488141,0.00047287828,0.00034576035,0.000032999487,0.00027178106,0.00018665162,0.000053892738],"category_scores_gemma":[0.00003146094,0.00028853863,0.00016735608,0.00031593005,0.00028074207,0.0013006161,0.00010522711,0.00014078998,0.000016087302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020237979,0.00042280465,0.72183806,0.00019777013,0.00026171328,0.00006884457,0.0015681997,0.09690125,0.0007774898,0.17645551,0.00029396647,0.0010119999],"study_design_scores_gemma":[0.0032495295,0.00049293216,0.96011287,0.00040825212,0.000035663747,0.000020645417,0.0035792594,0.027677594,0.0008130441,0.0010496866,0.0017471595,0.0008133707],"about_ca_topic_score_codex":0.0004770301,"about_ca_topic_score_gemma":0.00001749125,"teacher_disagreement_score":0.2382748,"about_ca_system_score_codex":0.0018381753,"about_ca_system_score_gemma":0.0001952857,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W7008828400","doi":"","title":"Création et applicatioin d'un indice de vitalité commerciale destiné aux artères commerciales de Montréal","year":2022,"lang":"fr","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Product (mathematics); Population; Identification (biology); Government (linguistics)","score_opus":0.05336572056031348,"score_gpt":0.24188897622049063,"score_spread":0.18852325566017714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008828400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9549789,0.003923677,0.000071218376,0.00052681175,0.0010128383,0.0011833267,0.005904013,0.00013455735,0.032264695],"genre_scores_gemma":[0.9766571,0.0038367982,0.004339468,0.0024618572,0.00010671903,0.0010345296,0.0064505185,0.00029461092,0.0048183817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9943681,0.0006684695,0.0021125716,0.001489881,0.00025004926,0.0011109576],"domain_scores_gemma":[0.9958695,0.00059008953,0.0021242653,0.0009369163,0.000074328615,0.0004048771],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003807961,0.00090244453,0.0011880939,0.0005741597,0.002758821,0.0002045927,0.0009861479,0.0009420916,0.0030606566],"category_scores_gemma":[0.00067366374,0.0014215121,0.0005271089,0.00053473655,0.0001937016,0.0011649152,0.00036377765,0.0018476007,0.0015253904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002109937,0.0012791026,0.09987518,0.000366221,0.00048562995,0.000025323645,0.0004925536,0.005366954,0.002715822,0.7316142,0.00008656187,0.15748146],"study_design_scores_gemma":[0.0025453984,0.0003869387,0.646919,0.00020401711,0.00037272266,0.000075020536,0.0029322095,0.0032853014,0.0070219208,0.13509019,0.19864535,0.0025219535],"about_ca_topic_score_codex":0.018324226,"about_ca_topic_score_gemma":0.008911341,"teacher_disagreement_score":0.596524,"about_ca_system_score_codex":0.005058603,"about_ca_system_score_gemma":0.00013038468,"threshold_uncertainty_score":0.999252},"labels":[],"label_agreement":null},{"id":"W7009921532","doi":"","title":"Farmland values and conservation activity in Manitoba","year":2018,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Fusible alloy; Hemopericardium; Emperipolesis; Hyporeflexia; Demotion","score_opus":0.05018289561108589,"score_gpt":0.1941890097324729,"score_spread":0.14400611412138703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009921532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887178,0.00029975848,0.00014942157,0.0002754407,0.00026482402,0.00021815186,0.000069568254,0.00001327957,0.009991734],"genre_scores_gemma":[0.99644685,0.00079734833,0.000429813,0.000022634324,0.000041620686,7.9373666e-7,0.00019248734,0.000017947426,0.0020505367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999267,0.00002030667,0.00016667313,0.00036536605,0.000037204903,0.00014349508],"domain_scores_gemma":[0.9992887,0.000026915628,0.00045397313,0.00017597339,0.000015489939,0.00003898233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027539968,0.00015262104,0.0003694392,0.00026264708,0.00010430093,0.000019043639,0.00013673797,0.00023300367,0.00006412566],"category_scores_gemma":[0.000015381513,0.00024479444,0.00006296682,0.00008372519,0.00008949485,0.00030598414,0.00004338932,0.0001394449,0.00023586646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009801719,0.00007351692,0.99427867,0.00014517164,0.00005255041,0.000003512905,0.0007687621,0.000008941168,0.00007286337,0.0014822128,0.0015440984,0.0014717043],"study_design_scores_gemma":[0.0005819077,0.00005710627,0.984246,0.000050789527,0.00001859866,6.727102e-7,0.007910716,0.0011949958,0.000063707856,0.0037251376,0.0019282115,0.00022215681],"about_ca_topic_score_codex":0.010343091,"about_ca_topic_score_gemma":0.395308,"teacher_disagreement_score":0.38496488,"about_ca_system_score_codex":0.0002279708,"about_ca_system_score_gemma":0.000014967337,"threshold_uncertainty_score":0.99824274},"labels":[],"label_agreement":null},{"id":"W7010038219","doi":"","title":"Exploring consumers' use of nutritional cues in food choices: A discrete choice experiment","year":2021,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Nutrition facts label; Food choice; Food products; Laddering; Discrete choice; Consumer behaviour","score_opus":0.16995500348873274,"score_gpt":0.23167017882499708,"score_spread":0.06171517533626433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010038219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945139,0.002788734,0.00005567712,0.000106461164,0.0002506221,0.00022141432,0.00028411092,0.0000067520796,0.001772273],"genre_scores_gemma":[0.9942652,0.0028799162,0.0003481651,0.000011230276,0.000029925002,0.0000037620398,0.00064790173,0.000016152404,0.0017977668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908763,0.000031087646,0.00036938608,0.00030550535,0.00005906599,0.00014733544],"domain_scores_gemma":[0.9989428,0.00012637288,0.0005937208,0.00027907,0.000022528071,0.000035500074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020048661,0.0001485194,0.00044382588,0.00021791915,0.000084191735,0.000014890822,0.00025591394,0.000110711175,0.0005651567],"category_scores_gemma":[0.000032972475,0.00019369929,0.00020178508,0.00014932288,0.00008793071,0.00051723846,0.00006800955,0.0001559244,0.000040903302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010962972,0.001750108,0.8116432,0.0023840456,0.0024517241,0.000023519618,0.0591279,0.0028899384,0.02618501,0.08885739,0.0010032975,0.0025875715],"study_design_scores_gemma":[0.000922976,0.00007699203,0.9793963,0.0001603331,0.000038327547,5.7374507e-7,0.013133192,0.00020481226,0.00075360504,0.00057195156,0.0044952864,0.0002456596],"about_ca_topic_score_codex":0.0034528174,"about_ca_topic_score_gemma":0.0017602796,"teacher_disagreement_score":0.16775309,"about_ca_system_score_codex":0.0001691921,"about_ca_system_score_gemma":0.000027924605,"threshold_uncertainty_score":0.7898828},"labels":[],"label_agreement":null},{"id":"W7020355564","doi":"","title":"Landowners' willingness to accept compensation for selling saltwater marshes to a conservation program : a multiple bounded discrete choice approach","year":2001,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bounded function; Compensation (psychology); Control (management); Willingness to pay; Preference","score_opus":0.08014544468980256,"score_gpt":0.2556231487384076,"score_spread":0.17547770404860502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020355564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763986,0.00011156449,0.00038408276,0.00010415455,0.00097355124,0.0050900867,0.0019042805,0.00022811025,0.014805608],"genre_scores_gemma":[0.96044946,0.00009515633,0.017761683,0.0007768741,0.00015347496,0.0031199423,0.00899076,0.00025368592,0.008398972],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99582756,0.00007990368,0.0015390241,0.0015918924,0.00016827391,0.00079332344],"domain_scores_gemma":[0.9977519,0.0002434584,0.0008998639,0.00061889284,0.00012742484,0.00035845433],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012238511,0.0007170861,0.0010330582,0.00047670005,0.0008968409,0.00031233477,0.00053318776,0.0006169192,0.00017935986],"category_scores_gemma":[0.00052877306,0.0008619902,0.00036178489,0.00044698364,0.00003380879,0.00086611963,0.0000909826,0.00048711267,0.0006828396],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050816024,0.004122658,0.17227806,0.00447607,0.0026568824,0.000015355547,0.0014500156,0.03309953,0.00797297,0.22761387,0.00035559942,0.5408774],"study_design_scores_gemma":[0.009214869,0.0014484824,0.23416862,0.0007146898,0.0004401005,0.00001591039,0.0015855586,0.030373862,0.008779554,0.064466685,0.64272356,0.0060680904],"about_ca_topic_score_codex":0.00124643,"about_ca_topic_score_gemma":0.0024462456,"teacher_disagreement_score":0.64236796,"about_ca_system_score_codex":0.0012741352,"about_ca_system_score_gemma":0.000021523874,"threshold_uncertainty_score":0.9993831},"labels":[],"label_agreement":null},{"id":"W7027271423","doi":"","title":"Consumer valuation of food attributes: a comparison of willingness to pay estimates from choice modelling and contingency valuation methods","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Willingness to pay; Contingent valuation; Valuation (finance); Discrete choice; Preference; Choice modelling; Consumer choice","score_opus":0.1688613051780992,"score_gpt":0.30971242033507834,"score_spread":0.14085111515697915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027271423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880075,0.003517763,0.0025089954,0.000015146097,0.00059819664,0.000970869,0.002088851,0.00004382452,0.002248874],"genre_scores_gemma":[0.95759004,0.000403733,0.03967778,0.000044448745,0.00003053732,0.00009067979,0.0019212111,0.00009028084,0.00015125799],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957331,0.00019200168,0.0024482592,0.0010566292,0.00020241391,0.00036763697],"domain_scores_gemma":[0.99582654,0.0006843205,0.0025891827,0.00052118505,0.00020661874,0.00017214782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024139273,0.0005435074,0.0015696816,0.0004213729,0.00032228947,0.000050322546,0.00034062008,0.0005900601,0.000119775184],"category_scores_gemma":[0.0010157914,0.00064000406,0.0002485862,0.0003192023,0.000061069346,0.0006179396,0.00006936345,0.0004907675,0.000069892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051277725,0.0015146501,0.16205636,0.0013507436,0.0019669323,0.0000010934319,0.0007981433,0.10335377,0.03380968,0.20572932,0.000008022022,0.48889852],"study_design_scores_gemma":[0.0024912308,0.0008518656,0.23260489,0.0008450707,0.0007350437,0.0000012444178,0.00056852476,0.078002214,0.1554659,0.52497107,0.0016985659,0.0017643614],"about_ca_topic_score_codex":0.0012396981,"about_ca_topic_score_gemma":0.0004052524,"teacher_disagreement_score":0.48713416,"about_ca_system_score_codex":0.00039983704,"about_ca_system_score_gemma":0.000025637288,"threshold_uncertainty_score":0.9996051},"labels":[],"label_agreement":null},{"id":"W7028054395","doi":"","title":"Environmental Choice Program","year":2002,"lang":"en","type":"article","venue":"IDEALS (University of Illinois Urbana-Champaign)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scheme (mathematics); Environmental impact assessment; Production (economics); Work (physics)","score_opus":0.06565587962286885,"score_gpt":0.17715583615106217,"score_spread":0.11149995652819332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028054395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733065,0.0017548641,0.0012238399,0.0004943175,0.00014506854,0.00036855123,0.00021084631,0.00006932692,0.022426695],"genre_scores_gemma":[0.991168,0.0008754313,0.0016308046,0.00011956455,0.00005348067,0.0000018768715,0.000038205693,0.00002089887,0.006091706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998844,0.000019988516,0.0003415775,0.0004391724,0.000060995295,0.000294248],"domain_scores_gemma":[0.99908006,0.000042452888,0.00039441904,0.00034688791,0.000005126903,0.00013105746],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023858367,0.00017238063,0.00037856746,0.00017814188,0.00017857352,0.000017018341,0.0002834293,0.00013692325,0.009655744],"category_scores_gemma":[0.000014079403,0.00025646552,0.00020232164,0.00011261287,0.00020355101,0.00038967948,0.000093336625,0.0001248647,0.00334784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029303455,0.0014064808,0.9170114,0.00006947163,0.00033566076,0.000021877622,0.0046475674,0.00085829786,0.00036223952,0.020621253,0.015559458,0.039076984],"study_design_scores_gemma":[0.0019701743,0.00037975932,0.7897946,0.000020638785,0.000038434337,0.0000066902894,0.0015119545,0.014763172,0.00008179969,0.0041012336,0.18662204,0.00070944906],"about_ca_topic_score_codex":0.00061613787,"about_ca_topic_score_gemma":0.00007595264,"teacher_disagreement_score":0.17106259,"about_ca_system_score_codex":0.00022639318,"about_ca_system_score_gemma":0.0000031802977,"threshold_uncertainty_score":0.99998873},"labels":[],"label_agreement":null},{"id":"W7042780943","doi":"","title":"Preferences for Biologic Treatments: A Discrete Choice Experiment Survey of Canadians with Severe Asthma","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"College of Family Physicians of Canada","funders":"","keywords":"Asthma; Confidence interval; Odds ratio; Logistic regression; Inhaler; Population; Odds","score_opus":0.4121290774410879,"score_gpt":0.4763933381579654,"score_spread":0.06426426071687752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042780943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97998506,0.009720564,0.00085644826,0.000090163056,0.00020284971,0.00069534424,0.0008963631,0.0000064713827,0.007546745],"genre_scores_gemma":[0.9955101,0.0027230333,0.0003480364,0.00012782811,0.000019082476,0.00015250214,0.00009950362,0.000017407321,0.0010025132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845517,0.0000679663,0.0007896027,0.0004004219,0.000049131475,0.00023772291],"domain_scores_gemma":[0.99841386,0.00026947836,0.00088466285,0.00029045617,0.000046588462,0.00009497655],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008680218,0.00020299916,0.0006804521,0.00038244773,0.00012666949,0.00019982227,0.0008462407,0.00007934366,0.002531842],"category_scores_gemma":[0.00013655402,0.00018204773,0.0000979858,0.00030379248,0.00009951379,0.00076286733,0.000166959,0.0000818844,0.000009339828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011423965,0.00012726581,0.99398273,0.00003332465,0.00032817043,3.2603108e-7,0.000093580034,0.00042437238,0.00022354623,0.0006441263,0.002111058,0.0019172339],"study_design_scores_gemma":[0.00084615283,0.000051382183,0.9903477,0.00009258031,0.000022076634,6.7356956e-7,0.00009260438,0.00014560971,0.0012814709,0.005182577,0.0017257349,0.00021148365],"about_ca_topic_score_codex":0.04880764,"about_ca_topic_score_gemma":0.006191161,"teacher_disagreement_score":0.04261648,"about_ca_system_score_codex":0.00026637828,"about_ca_system_score_gemma":0.00008298561,"threshold_uncertainty_score":0.99838},"labels":[],"label_agreement":null},{"id":"W7043222553","doi":"","title":"Seasonality effect on US household demand for different beef cuts","year":2018,"lang":"en","type":"article","venue":"UniSA Research Outputs Repository (University of South Australia)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Consumer demand; Seasonality; Certification; Consumer behaviour; Logit","score_opus":0.22287066888554316,"score_gpt":0.28501685178143404,"score_spread":0.062146182895890884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043222553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935353,0.000045296205,0.0008401373,0.0001644875,0.00024632283,0.0005551358,0.00025820508,0.000026812748,0.004328346],"genre_scores_gemma":[0.98378843,0.000009780708,0.00016953304,0.00001834727,0.00015823601,0.0000031693428,0.000029012343,0.000018206614,0.015805313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984967,0.000117497446,0.00026091878,0.0005486949,0.00014518923,0.000430978],"domain_scores_gemma":[0.99890965,0.00015952214,0.00023292477,0.00044252013,0.000052791274,0.00020260613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011450907,0.00016175648,0.0003719645,0.0001351629,0.00055848854,0.000046559966,0.00037679978,0.00017004051,0.00020692115],"category_scores_gemma":[0.000053527532,0.00019941197,0.00019738679,0.00012311585,0.0005702284,0.00018733744,0.00013082956,0.0002308836,0.0003370845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040435704,0.00018796085,0.98390603,0.00012547286,0.0001406892,0.000008672675,0.0012394768,0.000064870765,0.00053798885,0.010031086,0.0031557162,0.00019768224],"study_design_scores_gemma":[0.0015583342,0.0014940372,0.9852442,0.000047570004,0.00002166355,0.0000021628691,0.00040203484,0.00036466986,0.003953858,0.0010801511,0.005584975,0.00024633182],"about_ca_topic_score_codex":0.00037224026,"about_ca_topic_score_gemma":0.000029689347,"teacher_disagreement_score":0.011476967,"about_ca_system_score_codex":0.0003735486,"about_ca_system_score_gemma":0.00002072439,"threshold_uncertainty_score":0.81317836},"labels":[],"label_agreement":null},{"id":"W7043371523","doi":"","title":"The statistical analysis of the economic impact of hog production in Manitoba communities : the Pembina Valley Region","year":2006,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Liquation; Dysgeusia; Proteogenomics; Hyporeflexia; Fusible alloy","score_opus":0.043709728489538385,"score_gpt":0.2040022035891175,"score_spread":0.1602924750995791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043371523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956039,0.00031027317,0.00007093686,0.00025222285,0.00027186333,0.00032744132,0.00019416513,0.0000042889,0.0029648812],"genre_scores_gemma":[0.9979319,0.0008796702,0.000027965587,0.0000028126851,0.00002102945,0.00000155849,0.0003047596,0.000013997131,0.000816313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905473,0.00011189778,0.00040513204,0.00021111111,0.000060339964,0.00015681007],"domain_scores_gemma":[0.99794465,0.00015778899,0.0012574753,0.0005961676,0.00002631027,0.000017599139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005536615,0.00016315897,0.0005132503,0.00030208434,0.00026841587,0.000017416087,0.0005605956,0.00013919838,0.0000300591],"category_scores_gemma":[0.000021429327,0.0001408396,0.00038357676,0.0002381367,0.00030513018,0.00014407474,0.00007939225,0.00023109805,0.000015987664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010696224,0.00006574488,0.96359265,0.00005405874,0.0007142299,4.1474377e-7,0.0013036539,0.024651732,0.0000065285253,0.0074837627,0.0015239153,0.00049634045],"study_design_scores_gemma":[0.00021584023,0.00005332993,0.96400934,0.000028359926,0.00026381732,4.77879e-7,0.028476508,0.004946079,0.000013308544,0.0017195214,0.00015109863,0.00012233607],"about_ca_topic_score_codex":0.11264073,"about_ca_topic_score_gemma":0.78620815,"teacher_disagreement_score":0.6735674,"about_ca_system_score_codex":0.00094104727,"about_ca_system_score_gemma":0.00006616747,"threshold_uncertainty_score":0.8932683},"labels":[],"label_agreement":null},{"id":"W7043458832","doi":"","title":"Societal Preferences for Trade-offs between Cancer and Non-Cancer Health Outcomes: A Choice Experiment","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Respondent; Cancer; Public health; Preference; Population health; Population; Sample (material); Lung cancer; Health economics","score_opus":0.30775974457754895,"score_gpt":0.3479014017139806,"score_spread":0.04014165713643164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043458832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993927,0.0021296637,0.000770781,0.0018528071,0.00027420538,0.0003864446,0.00051577366,0.0000296193,0.00011368234],"genre_scores_gemma":[0.99435437,0.0012068453,0.000119400465,0.0007446907,0.00011990969,0.000022509425,0.00006816749,0.00003091283,0.0033331735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998461,0.00003541903,0.0003992599,0.00066673284,0.000058602753,0.00037896194],"domain_scores_gemma":[0.9990991,0.000085903484,0.0003518572,0.00025005089,0.000014260499,0.00019883431],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029065815,0.00023652367,0.00053951173,0.0001277835,0.00025631854,0.00014282607,0.0002417361,0.00014128107,0.00011542352],"category_scores_gemma":[0.000012994777,0.00029600447,0.00015510297,0.00012118618,0.00007778619,0.0008764982,0.000153124,0.00019677744,0.00004709749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008043551,0.000055776505,0.9977136,0.00006562025,0.00015126399,0.0000016718153,0.0007239441,0.000020356216,0.00003381094,0.0001375473,0.0000042750767,0.0010840498],"study_design_scores_gemma":[0.001434756,0.000080545404,0.99286664,0.000060194485,0.000031964624,9.5315875e-7,0.00042353867,0.0000024594694,0.00046958317,0.00034235592,0.0039696693,0.00031733047],"about_ca_topic_score_codex":0.00006794607,"about_ca_topic_score_gemma":0.0011805148,"teacher_disagreement_score":0.004846991,"about_ca_system_score_codex":0.00052822224,"about_ca_system_score_gemma":0.00008634878,"threshold_uncertainty_score":0.9999492},"labels":[],"label_agreement":null},{"id":"W7043525814","doi":"","title":"Statistical models in ecological and health economic data","year":2023,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Dalhousie University","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Triacetin; Emperipolesis; Durvalumab","score_opus":0.15154645219154306,"score_gpt":0.2572183280043254,"score_spread":0.10567187581278237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043525814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8164598,0.0011574812,0.0012642808,0.17531265,0.00044615744,0.00040253237,0.0015140105,0.000036170393,0.0034069335],"genre_scores_gemma":[0.7002198,0.032252856,0.009606914,0.00014257847,0.000120629215,0.0000037937848,0.014100705,0.00013538843,0.24341734],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99915045,0.000018942514,0.00005602163,0.0005517407,0.0000242307,0.00019859012],"domain_scores_gemma":[0.99910164,0.00004406552,0.00042724467,0.00034535897,0.0000032556347,0.00007845233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005888574,0.00013130931,0.00050839357,0.00023315231,0.00007141935,0.000013605153,0.00030776337,0.00018859154,0.00006391469],"category_scores_gemma":[0.000011145013,0.00020614803,0.000035651865,0.000051947853,0.00007246842,0.0002884642,0.00012876818,0.00017165481,0.00032390186],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008337746,0.00010423574,0.09144283,0.000420113,0.00014929986,0.000030234985,0.0018626191,0.003120072,9.315948e-7,0.35354635,0.5424211,0.006818812],"study_design_scores_gemma":[0.0011452521,0.00016698433,0.8098332,0.000089424975,0.000021714695,0.0000021157075,0.009656589,0.054980066,2.4478555e-7,0.007620989,0.116022,0.00046141582],"about_ca_topic_score_codex":0.0005835694,"about_ca_topic_score_gemma":0.0103158485,"teacher_disagreement_score":0.71839035,"about_ca_system_score_codex":0.00036555217,"about_ca_system_score_gemma":0.000067846515,"threshold_uncertainty_score":0.8406473},"labels":[],"label_agreement":null},{"id":"W7043869941","doi":"","title":"What would households pay for a reduction of automobile traffic? Evidence from nine German cities","year":2021,"lang":"en","type":"other","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Reduction (mathematics); Apartment; German; Road traffic; Instrumental variable; Cost reduction; Marginal cost; Incentive","score_opus":0.1278785696213548,"score_gpt":0.31003696875169406,"score_spread":0.18215839913033927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043869941","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7288201,0.031606194,0.0000714747,0.0011127535,0.005157306,0.0036148976,0.0021696829,0.00016259107,0.22728501],"genre_scores_gemma":[0.24377167,0.20126437,0.001992023,0.000088929046,0.0012060473,0.0009389741,0.00083766173,0.0007389096,0.54916143],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972401,0.00006940825,0.0010640331,0.0010367074,0.00006988123,0.0005198592],"domain_scores_gemma":[0.99806625,0.0002881319,0.0006841092,0.0008319357,0.00002041176,0.0001091494],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012755723,0.00031301423,0.0009178298,0.0005296194,0.00007499347,0.00013390314,0.00042088592,0.00076767994,0.0050808503],"category_scores_gemma":[0.0001650634,0.00037057436,0.00026585822,0.00012241548,0.00026611367,0.00036886023,0.00015735517,0.0006336044,0.000053867745],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008137452,0.0025801084,0.07758209,0.0036926698,0.0032266066,0.000040625637,0.012232789,0.035067793,0.0016635068,0.009032763,0.113591254,0.7404761],"study_design_scores_gemma":[0.003139811,0.0005895002,0.028613769,0.0032728727,0.00004925774,0.00001288056,0.0044862432,0.014815342,0.0007382149,0.004106773,0.93822247,0.0019528578],"about_ca_topic_score_codex":0.00050106505,"about_ca_topic_score_gemma":0.00043197858,"teacher_disagreement_score":0.8246312,"about_ca_system_score_codex":0.00086316996,"about_ca_system_score_gemma":0.000121667304,"threshold_uncertainty_score":0.9998746},"labels":[],"label_agreement":null},{"id":"W7067952111","doi":"","title":"Multiple-model observers for detecting ore feed disturbances in grinding operations","year":2023,"lang":"en","type":"other","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Laval","keywords":"Kalman filter; Random noise; First order; Moving horizon estimation","score_opus":0.16907173356780764,"score_gpt":0.25097362602232376,"score_spread":0.08190189245451612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067952111","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14698738,0.0022038957,0.06444383,0.0005978785,0.0029496253,0.004042288,0.002251434,0.0010356973,0.77548796],"genre_scores_gemma":[0.4338588,0.0003976047,0.0072086365,0.000086654705,0.00018925399,0.00040390904,0.00016008655,0.0006239237,0.5570711],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988835,0.000004110989,0.00043835957,0.00043744766,0.000016181892,0.00022040195],"domain_scores_gemma":[0.9995518,0.000060430524,0.00017414876,0.00017848083,0.000002026622,0.00003313025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027620146,0.00017158799,0.00033866797,0.0002638498,0.00007215726,0.00004437153,0.00013655877,0.00018558593,0.0004921763],"category_scores_gemma":[0.00010342743,0.00020657941,0.00010122724,0.00008828543,0.000022888078,0.00012690604,0.00004069742,0.000096405456,0.000473378],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010144161,0.0000733855,0.8409314,0.00013072097,0.00012843686,8.3990875e-7,0.0004539486,0.088937595,0.0000106870875,0.042074807,0.02570229,0.0015457318],"study_design_scores_gemma":[0.002584595,0.00005288194,0.11140408,0.0001774681,0.000018901583,5.259186e-7,0.0006681271,0.8402656,0.0000317912,0.004300303,0.039337706,0.0011580496],"about_ca_topic_score_codex":0.0017626013,"about_ca_topic_score_gemma":0.029600695,"teacher_disagreement_score":0.751328,"about_ca_system_score_codex":0.00028280178,"about_ca_system_score_gemma":0.000009157545,"threshold_uncertainty_score":0.98810655},"labels":[],"label_agreement":null},{"id":"W70685021","doi":"10.7202/1044581ar","title":"Les limites de l’évaluation économique de la biodiversité","year":2018,"lang":"fr","type":"article","venue":"Les ateliers de l éthique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.09372907581824184,"score_gpt":0.23569701939597382,"score_spread":0.14196794357773196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70685021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9185708,0.0054517845,0.015620475,0.0031426842,0.0005313606,0.0002334965,0.00014108479,0.000049083108,0.0562592],"genre_scores_gemma":[0.9653078,0.010707609,0.015311329,0.0019765096,0.00062566716,0.000033113134,0.000049211598,0.000051215542,0.005937548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801224,0.0003002925,0.0005440566,0.0005042564,0.000025921408,0.00061325176],"domain_scores_gemma":[0.998815,0.0002872824,0.00038963472,0.00030669302,0.000025857002,0.00017552442],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002627734,0.00026936762,0.00034988366,0.00019201619,0.00036270477,0.00017061122,0.00028910258,0.00093626004,0.002642436],"category_scores_gemma":[0.00025015356,0.00040160492,0.0001935774,0.00011181805,0.00067868934,0.00034783443,0.000107857115,0.00046245972,0.0015594502],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038048343,0.00012246081,0.848136,0.00006648402,0.00013392215,0.000008137897,0.0043776752,0.0028412389,0.00030975166,0.10469436,0.003834737,0.03543719],"study_design_scores_gemma":[0.0010725076,0.00031405952,0.72168225,0.000116030445,0.00008303137,0.00006618763,0.0011901922,0.050972067,0.0036742038,0.10416312,0.11592516,0.00074120006],"about_ca_topic_score_codex":0.0053404714,"about_ca_topic_score_gemma":0.00036772306,"teacher_disagreement_score":0.12645376,"about_ca_system_score_codex":0.0023866945,"about_ca_system_score_gemma":0.00010186826,"threshold_uncertainty_score":0.9998436},"labels":[],"label_agreement":null},{"id":"W7071852539","doi":"","title":"Visitors’ willingness to pay for interpretive services in Alberta parks","year":2021,"lang":"en","type":"article","venue":"Scholarworks (University of Massachusetts Amherst)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Interpretation (philosophy); Natural heritage; Cultural heritage; National park; Investment (military); Value (mathematics); Action (physics)","score_opus":0.02477799149006921,"score_gpt":0.19876643828133644,"score_spread":0.17398844679126724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071852539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767268,0.00026601303,0.014116429,0.0031197567,0.00033694485,0.00029893903,0.0001313651,0.000013080286,0.004990714],"genre_scores_gemma":[0.9945867,0.000075308184,0.00276317,0.0002731043,0.00003464711,0.0000025225615,0.000056243218,0.000016910868,0.0021914046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989704,0.000030605595,0.00026679313,0.00046366837,0.000035890782,0.00023262619],"domain_scores_gemma":[0.99928004,0.00011335858,0.00020706386,0.00027624142,0.000027213355,0.00009610327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043350647,0.00013059202,0.00034401688,0.00013860296,0.00011063138,0.00004137285,0.0002846138,0.0001574235,0.0005925779],"category_scores_gemma":[0.00005119087,0.00017647959,0.00012963211,0.00021864407,0.000036024816,0.00056736945,0.000138459,0.00018575675,0.00019733948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012162825,0.00017052014,0.9779119,0.000085217514,0.00011190829,0.000008304713,0.007036933,0.0023918801,0.0001351112,0.009615201,0.0006197459,0.0017916398],"study_design_scores_gemma":[0.0018475156,0.00013334623,0.92987484,0.0002509524,0.00003207443,0.0000021241708,0.009867458,0.006040658,0.00022385104,0.007333442,0.04382379,0.00056996837],"about_ca_topic_score_codex":0.0011073367,"about_ca_topic_score_gemma":0.002441715,"teacher_disagreement_score":0.04803709,"about_ca_system_score_codex":0.00025828462,"about_ca_system_score_gemma":0.000019885643,"threshold_uncertainty_score":0.71966285},"labels":[],"label_agreement":null},{"id":"W7095183316","doi":"","title":"Prepared by","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Social deprivation; Occupational prestige; General Social Survey; Household income; Social class","score_opus":0.06767047532877846,"score_gpt":0.1936764404717992,"score_spread":0.12600596514302073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095183316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5241123,0.00046888003,0.0037211245,0.00095818983,0.00007374443,0.00007042002,0.00001946977,0.000035848152,0.47054005],"genre_scores_gemma":[0.98666626,0.000050406306,0.0005334109,0.0010712502,0.000019057446,0.0000026848834,0.000019192905,0.0000034617092,0.011634296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995748,0.0000015569578,0.0001808397,0.00014771064,0.000006410978,0.000088688015],"domain_scores_gemma":[0.9998022,0.0000035622975,0.000054565353,0.00010977045,8.1685215e-7,0.000029099449],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001023673,0.000043990047,0.000085723455,0.000021585582,0.000025635696,0.000015033613,0.000055786644,0.000028051318,0.0028573582],"category_scores_gemma":[0.0000057512834,0.000052245792,0.000028698303,0.000022367836,0.000008534613,0.00012297196,0.0000060578386,0.000021405694,0.0031594993],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006999195,0.00018901353,0.2338187,0.000002151645,0.000020210202,3.866463e-7,0.00023482952,0.00009360308,0.00047652077,0.54992586,0.20700572,0.008225985],"study_design_scores_gemma":[0.0007835583,0.00016634558,0.5917601,0.0000020039722,0.0000025073125,0.000001990854,0.000057214816,0.0029408403,0.0011260663,0.16974017,0.23304191,0.00037727848],"about_ca_topic_score_codex":0.000021730273,"about_ca_topic_score_gemma":8.423302e-7,"teacher_disagreement_score":0.46255398,"about_ca_system_score_codex":0.000047398942,"about_ca_system_score_gemma":9.556627e-7,"threshold_uncertainty_score":0.99805415},"labels":[],"label_agreement":null},{"id":"W7095230346","doi":"","title":"nancial Econometric Analysis, Université Laval), the Alexander-von-Humboldt Foundation (Germany), the Institut de","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foundation (evidence); Econometric model; Work (physics); Government (linguistics)","score_opus":0.03394591448842826,"score_gpt":0.1882119704791982,"score_spread":0.15426605599076992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095230346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86240685,0.0007362494,0.011869023,0.0019601271,0.00021131583,0.00024560158,0.000026888401,0.000030511212,0.122513436],"genre_scores_gemma":[0.9908376,0.0003687016,0.00010491978,0.00046289907,0.00018202804,0.00001503986,0.00007256327,0.000010645228,0.007945637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898624,0.000025178088,0.00042869855,0.00029016993,0.000034327353,0.00023536469],"domain_scores_gemma":[0.9992744,0.00007538388,0.00027195408,0.00033555992,0.000007725746,0.00003500934],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007556677,0.00012897559,0.00022206148,0.00028310437,0.00039834683,0.00010687004,0.00029817285,0.00007295457,0.0024783125],"category_scores_gemma":[0.000018772917,0.00010195341,0.00019458673,0.0006234247,0.000093644085,0.00030490736,0.00006451047,0.000107335305,0.0010432695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000441325,0.00004975529,0.75765425,0.0000026061693,0.0001674032,5.3854296e-7,0.00016510295,0.013314933,0.000008365499,0.22501208,0.0026656073,0.0009549503],"study_design_scores_gemma":[0.00031557438,0.000014343297,0.9174016,7.483213e-7,0.000078993035,0.0000017029884,0.000108898595,0.009432945,0.000056510067,0.006344879,0.06608768,0.00015611883],"about_ca_topic_score_codex":0.0043300777,"about_ca_topic_score_gemma":0.0023657659,"teacher_disagreement_score":0.2186672,"about_ca_system_score_codex":0.0004761613,"about_ca_system_score_gemma":0.000027911674,"threshold_uncertainty_score":0.9997345},"labels":[],"label_agreement":null},{"id":"W7095372195","doi":"","title":"Title: Three Essays on Meta-Analysis, Benefit Transfer, and Recreation Use Valuation.","year":2010,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Valuation (finance); Metadata; Value (mathematics); Contingent valuation","score_opus":0.26969635173440165,"score_gpt":0.24569292833676235,"score_spread":0.024003423397639306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095372195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6717207,0.00067384384,0.06023739,0.00096651877,0.000276515,0.00032082293,0.00015851679,0.0000458809,0.2655998],"genre_scores_gemma":[0.99302477,0.00009343482,0.0016548283,0.00018978589,0.000024111263,0.000015329066,0.000051466843,0.000007757772,0.004938521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995385,0.0000027326396,0.00019076269,0.00018877331,0.000019048617,0.000060227132],"domain_scores_gemma":[0.9997335,0.000031945692,0.000038926548,0.00016273792,0.000004418893,0.00002846631],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027766966,0.00006338824,0.00020465789,0.00010186955,0.000039006525,0.00003875139,0.000037840575,0.000054478598,0.01912327],"category_scores_gemma":[0.000012976618,0.00006111384,0.0001341884,0.00006408608,0.000017277305,0.00014077176,0.0000062947547,0.00005867591,0.0013769312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020028838,0.000025837558,0.028031297,0.0000010433698,0.0027704928,6.1986924e-8,0.000027097694,0.00017799782,0.000024337774,0.9675596,0.0005508866,0.0008293548],"study_design_scores_gemma":[0.0004990979,0.000071606366,0.6937694,5.253362e-7,0.009008395,0.0000010977444,0.0000135750515,0.03095519,0.00034857742,0.23894504,0.025963802,0.000423704],"about_ca_topic_score_codex":0.00014038589,"about_ca_topic_score_gemma":0.00031485932,"teacher_disagreement_score":0.72861457,"about_ca_system_score_codex":0.000015650243,"about_ca_system_score_gemma":0.0000017517448,"threshold_uncertainty_score":0.9994006},"labels":[],"label_agreement":null},{"id":"W7095582263","doi":"","title":"SUST – Sustainability Indicators and Environmental Evaluation","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Respondent; Sustainability; Willingness to pay; Contingent valuation; Environmental policy; Valuation (finance)","score_opus":0.04842608428508214,"score_gpt":0.21646284423407017,"score_spread":0.16803675994898803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095582263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757352,0.0005461058,0.0009185742,0.0003997595,0.000081559985,0.0002839713,0.000014735913,0.000016408283,0.022003723],"genre_scores_gemma":[0.99811524,0.00024688887,0.00009603536,0.00014431002,0.000032684024,0.00003211005,0.000051776246,0.000009561049,0.0012713702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992044,0.000015180537,0.00028897944,0.0003041512,0.00003185581,0.00015542375],"domain_scores_gemma":[0.99963546,0.00001643552,0.00011187015,0.00016921156,0.0000021955702,0.00006481091],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00076920487,0.00008723696,0.00013070434,0.000110882895,0.00008472723,0.00002562864,0.000056872057,0.000059652757,0.0042697983],"category_scores_gemma":[0.000036795405,0.000103368475,0.000032674787,0.000058454283,0.00008553762,0.00024760634,0.00004655339,0.000052047944,0.00031450504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035620924,0.000047126643,0.97137684,0.0000028491872,0.000009280145,3.3954106e-7,0.00012927086,0.00006354459,0.000004314921,0.014571513,0.00008618672,0.013705168],"study_design_scores_gemma":[0.00043735834,0.00002580023,0.9601129,5.351087e-7,0.0000062109325,0.0000029293044,0.00069080445,0.00548458,0.000018795063,0.02547327,0.0076120184,0.00013474989],"about_ca_topic_score_codex":0.000082168815,"about_ca_topic_score_gemma":0.000008780682,"teacher_disagreement_score":0.022380102,"about_ca_system_score_codex":0.00046673842,"about_ca_system_score_gemma":0.000007651471,"threshold_uncertainty_score":0.99664044},"labels":[],"label_agreement":null},{"id":"W7095641555","doi":"","title":"1 PRELIMINARY AND INCOMPLETE DRAFT- PLEASE DO NOT CITE OR QUOTE Subjective Benefits from Climate Change Mitigation: Intermediate Results from a Household Survey","year":2001,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Willingness to pay; Climate policy; Function (biology); Climate risk; Survey data collection; Climate change mitigation","score_opus":0.1911826374222506,"score_gpt":0.2335647246287869,"score_spread":0.0423820872065363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095641555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98061764,0.00070601405,0.00016494987,0.0003805961,0.00033257026,0.00040311844,0.015457369,0.000059387523,0.0018783583],"genre_scores_gemma":[0.99294746,0.0034098045,0.00047814008,0.0008885705,0.00027932573,0.00006915913,0.0016163012,0.00004459633,0.00026663896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978661,0.000058795187,0.0008452388,0.0008357085,0.000050874874,0.0003432676],"domain_scores_gemma":[0.9985329,0.0004069959,0.00046810773,0.00041094123,0.000013152437,0.00016789472],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006695549,0.00026765544,0.00045728337,0.00015296324,0.00015217952,0.00013164977,0.0001834391,0.00015577681,0.00074300624],"category_scores_gemma":[0.00012911487,0.00028556702,0.00007327433,0.00013070519,0.00009959489,0.00068548456,0.00022045933,0.00014876813,0.0005681256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015636259,0.000100733305,0.9898216,0.0000070784313,0.000080448095,0.000012318208,0.0020719154,0.0001401257,0.000013502045,0.00088023645,0.00024972716,0.005058685],"study_design_scores_gemma":[0.0023512042,0.00018574775,0.9895827,0.00004441212,0.000014685064,0.0000026753244,0.00015583615,0.004844157,0.000048073485,0.0018645723,0.00052832515,0.00037760567],"about_ca_topic_score_codex":0.01275487,"about_ca_topic_score_gemma":0.003470453,"teacher_disagreement_score":0.013841068,"about_ca_system_score_codex":0.00016496138,"about_ca_system_score_gemma":0.000008526288,"threshold_uncertainty_score":0.99995965},"labels":[],"label_agreement":null},{"id":"W7095788165","doi":"","title":"CUAJ • November-December 2014 • Volume 8, Issues 11-12 © 2014 Canadian Urological Association","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Prostate; Cancer; Resection; Prostate disease; MEDLINE","score_opus":0.03832791931588932,"score_gpt":0.20001307293614426,"score_spread":0.16168515362025493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095788165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62766606,0.0003392086,0.0023959288,0.010972937,0.0008697883,0.00024868522,0.000093043745,0.00007720037,0.35733715],"genre_scores_gemma":[0.9352284,0.0001479962,0.0006141321,0.0025435314,0.00028564382,0.000020690952,0.0000869999,0.000024446585,0.061048165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985128,0.000033403456,0.00051322085,0.0004523465,0.00004450189,0.00044372966],"domain_scores_gemma":[0.99915224,0.000053892032,0.00027169872,0.00029464441,0.00001212956,0.00021539735],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010744908,0.00016971651,0.00033455022,0.00013892146,0.00013894521,0.0000853269,0.00018223499,0.00025676933,0.024772918],"category_scores_gemma":[0.00013403593,0.0001944384,0.00010853055,0.00004535961,0.000032962962,0.00028871262,0.000042094143,0.0001294197,0.043425083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013086021,0.000022358989,0.76234823,0.0000017970873,0.000016027421,1.5442666e-7,0.000034242257,0.00020587989,0.0000030223166,0.030193396,0.20694782,0.00022574472],"study_design_scores_gemma":[0.00023587854,0.000034359928,0.5289101,8.408954e-7,0.000004507709,6.705545e-7,0.000011572662,0.0067242295,0.000009814407,0.005801102,0.45808434,0.0001825812],"about_ca_topic_score_codex":0.07421967,"about_ca_topic_score_gemma":0.063922435,"teacher_disagreement_score":0.30756232,"about_ca_system_score_codex":0.0006625822,"about_ca_system_score_gemma":0.000015856085,"threshold_uncertainty_score":0.97611856},"labels":[],"label_agreement":null},{"id":"W7096003726","doi":"","title":"56 PART III CAPTURE OF EUROPEAN VALUATION STUDIES IN EVRI","year":2011,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Income approach; Inventory valuation; Complete information","score_opus":0.4034804056003411,"score_gpt":0.2519852587297705,"score_spread":0.15149514687057059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096003726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7463988,0.0014830214,0.0005343836,0.000045230372,0.00022400515,0.000113644885,0.000008168789,0.0000099014405,0.25118285],"genre_scores_gemma":[0.99673635,0.00042561747,0.0005530194,0.00009958243,0.000033939446,0.0000072930807,0.000007973512,0.000009463558,0.0021267515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992173,0.000020211268,0.00047073243,0.00018035181,0.000014971556,0.000096457356],"domain_scores_gemma":[0.99962056,0.000013056212,0.00019579948,0.00014565786,0.000006279167,0.000018648812],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077338493,0.000069632704,0.00019357078,0.000088913686,0.000018773577,0.0000030576327,0.00007602625,0.000028506245,0.0010233094],"category_scores_gemma":[0.00002904283,0.000075303265,0.00006513909,0.000054590513,0.000053866996,0.00015282085,0.00003803662,0.000043259355,0.0006265266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016836522,0.00018746464,0.7814374,0.00003065143,0.00012596922,0.0000018842628,0.01325921,0.00029832165,0.000032364296,0.201356,0.0018526529,0.0014012336],"study_design_scores_gemma":[0.00096975226,0.00007514179,0.9560806,0.000021970556,0.000011460286,9.4864146e-7,0.002859493,0.00074562355,0.00035971135,0.036762055,0.0018888572,0.0002243471],"about_ca_topic_score_codex":0.00024267012,"about_ca_topic_score_gemma":0.00007171243,"teacher_disagreement_score":0.25033757,"about_ca_system_score_codex":0.000070272705,"about_ca_system_score_gemma":0.0000025730376,"threshold_uncertainty_score":0.9998899},"labels":[],"label_agreement":null},{"id":"W7096542506","doi":"","title":"Forest Values in . . .","year":2002,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Sustainability; Sample (material); Forest management; Resource management (computing); Resource (disambiguation); Natural capital; Logit; Outcome (game theory)","score_opus":0.14849945056999586,"score_gpt":0.19368833939877778,"score_spread":0.045188888828781915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096542506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72141796,0.00042173354,0.00031125708,0.00036671807,0.00007371933,0.0000481852,0.0000031723116,0.000011220912,0.27734604],"genre_scores_gemma":[0.9891349,0.00016824821,0.0004155513,0.00024561366,0.000023880988,0.000008347618,0.0000027801632,0.000006205538,0.009994483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952066,0.0000024835783,0.00022328812,0.00014312881,0.000006765493,0.000103670536],"domain_scores_gemma":[0.9998226,0.000009510152,0.000044981265,0.00010161025,6.1209437e-7,0.000020695898],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00013551782,0.000044798184,0.00009737503,0.00006701328,0.000017135395,0.00001190561,0.000055903183,0.000030378067,0.008122745],"category_scores_gemma":[0.000010546081,0.00005346173,0.000026663798,0.000042389962,0.000016332793,0.00014291152,0.000015241611,0.000033608554,0.008334389],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.0637023e-7,0.000032701893,0.90335214,0.0000012232279,0.0000021460437,3.5135426e-7,0.00010994233,0.0003049838,0.00000147954,0.09413121,0.0015426626,0.00052084355],"study_design_scores_gemma":[0.00026096805,0.000018146759,0.9054458,0.0000017108739,4.229988e-7,7.8702317e-7,0.000044745808,0.028781936,0.000016031974,0.057682406,0.0076369955,0.000110049354],"about_ca_topic_score_codex":0.00011216747,"about_ca_topic_score_gemma":0.000054914188,"teacher_disagreement_score":0.26771694,"about_ca_system_score_codex":0.000066153036,"about_ca_system_score_gemma":3.3074855e-7,"threshold_uncertainty_score":0.99278396},"labels":[],"label_agreement":null},{"id":"W7096549298","doi":"","title":"2003-02 – Demand for Wildlife Hunting in British Columbia (Sun, van Kooten, &amp;amp; Voss) 2003-03 – Does Inclusion of Landowners ’ Non-Market Values Lower Costs of Creating Carbon","year":2003,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Inclusion (mineral); Wildlife management; Wildlife conservation; Carbon fibers; Cost–benefit analysis","score_opus":0.02189768236947077,"score_gpt":0.21570396355874757,"score_spread":0.1938062811892768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096549298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95563734,0.00040372155,0.0012371482,0.000026583075,0.0003131012,0.0006541465,0.00012753448,0.000012400898,0.041588023],"genre_scores_gemma":[0.9856706,0.0004469963,0.005954599,0.00013695922,0.000041653515,0.000046511726,0.00006198569,0.000037238293,0.007603451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979125,0.000044665732,0.0011687403,0.0004642256,0.00006578252,0.00034406147],"domain_scores_gemma":[0.9987541,0.000141108,0.0006870991,0.00027792458,0.00006631445,0.0000734554],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018282711,0.00015840353,0.00063208124,0.00013056214,0.00016909915,0.00006762557,0.00015752824,0.0001707124,0.0013695544],"category_scores_gemma":[0.00095036207,0.00022174983,0.00009545284,0.00029951602,0.00009335469,0.00024752552,0.00013609986,0.00010377556,0.000019609073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020181358,0.00016219019,0.99441415,0.00007181806,0.000039928495,4.7165474e-7,0.0003150489,0.00060873554,0.000088579254,0.00022693368,0.0030980424,0.0009539391],"study_design_scores_gemma":[0.0058980384,0.00020635079,0.9469714,0.00048590807,0.00005420532,0.0000052563882,0.00093757047,0.01671505,0.00055280764,0.009188177,0.017914712,0.0010705166],"about_ca_topic_score_codex":0.030682791,"about_ca_topic_score_gemma":0.051477328,"teacher_disagreement_score":0.047442727,"about_ca_system_score_codex":0.00024761626,"about_ca_system_score_gemma":0.000037687823,"threshold_uncertainty_score":0.9995433},"labels":[],"label_agreement":null},{"id":"W7096742247","doi":"","title":"Hybrid Choice Modeling of New Technologies for Car Choice in Canada. Transportation Research Record","year":2008,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Discrete choice; Dimension (graph theory); Mixed logit; Latent variable; Function (biology); Observable; Structural equation modeling; Multinomial distribution; Latent variable model","score_opus":0.24487387908448635,"score_gpt":0.2725922799874587,"score_spread":0.027718400902972368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096742247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913833,0.00044287232,0.0061220736,0.00040645938,0.00007851287,0.00026688364,0.000062672116,0.000014069526,0.0012231565],"genre_scores_gemma":[0.99671125,0.00043248266,0.0020626497,0.00002679532,0.000021555561,0.000035436184,0.000026173342,0.000011696023,0.0006719322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989918,0.0000044501558,0.000515582,0.0002486152,0.000033136723,0.00020643111],"domain_scores_gemma":[0.99960315,0.000091350856,0.000105260646,0.00015924843,0.000013439926,0.000027542046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002607632,0.0000699248,0.00021167076,0.0001720576,0.000053920037,0.000003877626,0.0001389254,0.00004529878,0.00008201979],"category_scores_gemma":[0.00009040234,0.00008711963,0.00003460184,0.00010532616,0.000027679958,0.00016482618,0.000008934767,0.00010055071,0.000013679605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008836835,0.000018901377,0.97285026,0.000021900849,0.000009145803,4.8818225e-7,0.0001056429,0.020092744,0.00002035956,0.0037723253,0.0012846305,0.0018147402],"study_design_scores_gemma":[0.001428878,0.00009167607,0.722122,0.00002467787,0.000003548201,6.2516665e-7,0.0008302055,0.24369751,0.0011727379,0.018509148,0.011801828,0.00031715372],"about_ca_topic_score_codex":0.9392133,"about_ca_topic_score_gemma":0.9048481,"teacher_disagreement_score":0.25072828,"about_ca_system_score_codex":0.0005152376,"about_ca_system_score_gemma":0.00014946802,"threshold_uncertainty_score":0.35526356},"labels":[],"label_agreement":null},{"id":"W7096949383","doi":"","title":"2003-02 – Demand for Wildlife Hunting in British Columbia (Sun, van Kooten, &amp;amp; Voss) 2003-03 – Does Inclusion of Landowners ’ Non-Market Values Lower Costs of Creating Carbon","year":2003,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Inclusion (mineral); Wildlife management; Wildlife conservation; Carbon fibers; Cost–benefit analysis","score_opus":0.02189768236947077,"score_gpt":0.21570396355874757,"score_spread":0.1938062811892768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096949383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95563734,0.00040372155,0.0012371482,0.000026583075,0.0003131012,0.0006541465,0.00012753448,0.000012400898,0.041588023],"genre_scores_gemma":[0.9856706,0.0004469963,0.005954599,0.00013695922,0.000041653515,0.000046511726,0.00006198569,0.000037238293,0.007603451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979125,0.000044665732,0.0011687403,0.0004642256,0.00006578252,0.00034406147],"domain_scores_gemma":[0.9987541,0.000141108,0.0006870991,0.00027792458,0.00006631445,0.0000734554],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018282711,0.00015840353,0.00063208124,0.00013056214,0.00016909915,0.00006762557,0.00015752824,0.0001707124,0.0013695544],"category_scores_gemma":[0.00095036207,0.00022174983,0.00009545284,0.00029951602,0.00009335469,0.00024752552,0.00013609986,0.00010377556,0.000019609073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020181358,0.00016219019,0.99441415,0.00007181806,0.000039928495,4.7165474e-7,0.0003150489,0.00060873554,0.000088579254,0.00022693368,0.0030980424,0.0009539391],"study_design_scores_gemma":[0.0058980384,0.00020635079,0.9469714,0.00048590807,0.00005420532,0.0000052563882,0.00093757047,0.01671505,0.00055280764,0.009188177,0.017914712,0.0010705166],"about_ca_topic_score_codex":0.030682791,"about_ca_topic_score_gemma":0.051477328,"teacher_disagreement_score":0.047442727,"about_ca_system_score_codex":0.00024761626,"about_ca_system_score_gemma":0.000037687823,"threshold_uncertainty_score":0.9995433},"labels":[],"label_agreement":null},{"id":"W7097518003","doi":"","title":"WILLINGNESS TO PAY FOR AMATEUR SPORT AND RECREATION","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Recreation; League; Amateur; Household income; Willingness to accept","score_opus":0.05619133080636669,"score_gpt":0.20194757012956444,"score_spread":0.14575623932319776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097518003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96258736,0.0000768878,0.021915201,0.00046865782,0.00010549977,0.00024136897,0.000020041347,0.000017630857,0.014567367],"genre_scores_gemma":[0.9868535,0.000031767373,0.005284923,0.00020972005,0.000076474884,0.00004470431,0.000050457318,0.000009882848,0.0074385973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994847,5.0542644e-7,0.00022979021,0.0001865542,0.00000693536,0.00009149646],"domain_scores_gemma":[0.99982244,0.0000064438864,0.000065274355,0.0000754301,0.0000031439529,0.00002727419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019190222,0.000053944816,0.00011447187,0.000037751477,0.00004442672,0.00002433338,0.000029738618,0.00003196887,0.00016315423],"category_scores_gemma":[0.0000037093207,0.00005350437,0.000022316923,0.000027289876,0.000007693532,0.00010972525,0.000011057365,0.000014305054,0.00024177472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050881217,0.0000146371185,0.8442833,0.000005367485,0.0000029767195,4.8112593e-8,0.000026637035,0.00026201663,0.000021141062,0.15371917,0.00090609945,0.0007535176],"study_design_scores_gemma":[0.0002505077,0.00003195787,0.91629755,0.0000020005846,0.0000020740633,5.920753e-7,0.000025078101,0.0019007603,0.0002634693,0.030940853,0.05017588,0.0001092484],"about_ca_topic_score_codex":0.00029371004,"about_ca_topic_score_gemma":0.000033196673,"teacher_disagreement_score":0.122778326,"about_ca_system_score_codex":0.000042346688,"about_ca_system_score_gemma":0.0000014725117,"threshold_uncertainty_score":0.31076056},"labels":[],"label_agreement":null},{"id":"W7097926599","doi":"","title":"Willingnessto-pay for fresh brand name beef","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Common value auction; Fluid ounce (US); Value (mathematics); Willingness to pay; Brand names","score_opus":0.06990057026422443,"score_gpt":0.21648325788817227,"score_spread":0.14658268762394783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097926599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8444506,0.000875857,0.07132985,0.0030625165,0.00045735599,0.0004510097,0.00010129682,0.000065676206,0.07920582],"genre_scores_gemma":[0.988869,0.000107599575,0.0029761975,0.0011896188,0.00012315622,0.00001657892,0.00003514855,0.000011213292,0.006671465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99922794,0.0000023529055,0.00032633712,0.00025703717,0.000011840471,0.00017451639],"domain_scores_gemma":[0.99965453,0.000024013085,0.00011337191,0.00015674433,0.0000039001015,0.000047465557],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00025243193,0.000089739544,0.00019219432,0.000054957254,0.00007852902,0.000033885783,0.0000967348,0.0000640613,0.0015323962],"category_scores_gemma":[0.00002007484,0.000089341185,0.00008795002,0.000030974956,0.000016624223,0.00019829813,0.000009220127,0.00004387779,0.0009038481],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035778943,0.00021868717,0.36906093,0.000017985236,0.00004930169,5.466314e-7,0.0003405584,0.00097243564,0.00012301187,0.594188,0.017552959,0.017439866],"study_design_scores_gemma":[0.0017615255,0.00024505344,0.5420731,0.0000061723076,0.000008274663,0.0000020905916,0.00006614349,0.008869389,0.00053872145,0.28987673,0.15611523,0.0004375887],"about_ca_topic_score_codex":0.00003846039,"about_ca_topic_score_gemma":0.000012635832,"teacher_disagreement_score":0.30431125,"about_ca_system_score_codex":0.00006746574,"about_ca_system_score_gemma":0.0000031464665,"threshold_uncertainty_score":0.99987406},"labels":[],"label_agreement":null},{"id":"W7098826807","doi":"","title":"The Border Papers A Framework for Action The Study in Brief","year":2014,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Joint (building); Government (linguistics)","score_opus":0.09641716051488335,"score_gpt":0.2729693132262899,"score_spread":0.17655215271140656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098826807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9454716,0.00012213303,0.01754683,0.0034254952,0.0003923992,0.0007400602,0.000003915694,0.000013472708,0.032284137],"genre_scores_gemma":[0.9971023,0.00006343075,0.00029610528,0.00058270054,0.00006984167,0.00014703308,0.0000017646653,0.000008759147,0.0017280435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994473,0.000015992619,0.00023952997,0.00016236682,0.000012321002,0.0001224804],"domain_scores_gemma":[0.999424,0.00025897237,0.00009395458,0.0002078687,0.000001910598,0.000013339102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009516503,0.000056253553,0.00009143988,0.00002030686,0.0001688646,0.000050089482,0.00011683524,0.000037434915,0.0002547324],"category_scores_gemma":[0.00011437719,0.0000384489,0.00003913977,0.00004446977,0.000027778307,0.00006794938,0.000020562255,0.00007254229,0.00014570694],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013540394,0.00008040223,0.4545261,0.0000019210468,0.000020219919,1.6654779e-8,0.0005075856,0.00036958785,0.0000015286171,0.5236315,0.00035167084,0.02049593],"study_design_scores_gemma":[0.00041459498,0.00008480941,0.8054422,0.000001263213,0.0000024802525,1.3237562e-7,0.0014299356,0.004724822,0.0000048342627,0.08644805,0.10136915,0.0000777032],"about_ca_topic_score_codex":0.00017880797,"about_ca_topic_score_gemma":0.0005544037,"teacher_disagreement_score":0.43718344,"about_ca_system_score_codex":0.000064287684,"about_ca_system_score_gemma":0.000002219506,"threshold_uncertainty_score":0.27891412},"labels":[],"label_agreement":null},{"id":"W7099762170","doi":"","title":"A guide to using RISKMAN: Stochastic and deterministic population modeling RISK MANagement decision tool for harvested and unharvested populations. Version 1.9. Peterborough: Ontario Ministry of Natural Resources. Also available from http://www.nrdpfc.ca/","year":2003,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Population; Risk management; Risk assessment; Decision support system; Natural (archaeology); Decision analysis","score_opus":0.06705067197203177,"score_gpt":0.24735923622263165,"score_spread":0.18030856425059988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099762170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8761084,0.00032097186,0.12222688,0.00000808287,0.0001981425,0.00056034763,0.0001502764,0.000013060999,0.00041380385],"genre_scores_gemma":[0.90148383,0.000032465243,0.09627269,0.000044447814,0.000018049783,0.000020354117,0.00013028474,0.000023853843,0.0019740316],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998255,0.00002450739,0.0008711341,0.000575341,0.000060679482,0.00021335074],"domain_scores_gemma":[0.99914694,0.00010342502,0.00036745612,0.00027916816,0.000018735263,0.00008427435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048582628,0.0002034015,0.00037077005,0.00019275227,0.00022870816,0.00009927771,0.00008292224,0.00010162246,0.00021407894],"category_scores_gemma":[0.00013963784,0.00023758005,0.000066450935,0.00008097169,0.000027769209,0.00038278158,0.00007941289,0.00008499333,0.000055570774],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030669163,0.000121824414,0.7995712,0.00008010295,0.0001394519,0.0000017079295,0.00075335585,0.18907358,0.000084567895,0.0067171208,0.00029804473,0.0028523253],"study_design_scores_gemma":[0.0014461745,0.00008223007,0.3280708,0.000073917225,0.000089331035,0.0000029227947,0.00015988926,0.66348386,0.000009799956,0.005345904,0.000937518,0.0002976833],"about_ca_topic_score_codex":0.020757962,"about_ca_topic_score_gemma":0.00515328,"teacher_disagreement_score":0.47441027,"about_ca_system_score_codex":0.00037449715,"about_ca_system_score_gemma":0.000010256134,"threshold_uncertainty_score":0.9857629},"labels":[],"label_agreement":null},{"id":"W7100070654","doi":"","title":"ROBUST ANALYSIS OF DISCRETE CHOICE IN TRANSPORT WITH AN APPLICATION TO ALBERTA CYCLISTS","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nonparametric statistics; Discrete choice; Estimator; Logit; Kernel density estimation; Mixed logit; Probit; Kernel (algebra); Range (aeronautics); Ordered probit","score_opus":0.036513722779620617,"score_gpt":0.2046576505357364,"score_spread":0.16814392775611578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100070654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9282764,0.000014477428,0.0513997,0.0001330455,0.000007758744,0.00015164567,0.000032840067,0.0000053199915,0.019978818],"genre_scores_gemma":[0.9969479,0.0000037579762,0.0018563946,0.00006961724,0.00001304155,0.00003298337,0.0002363909,0.000008995397,0.00083094585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917924,0.0000038034427,0.00040720997,0.00028587782,0.000018143557,0.00010572973],"domain_scores_gemma":[0.9995862,0.000016331796,0.00013321622,0.00022602134,0.0000032177913,0.000035001627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015717851,0.000074586926,0.0002518598,0.00026818307,0.0000156214,0.0000065334393,0.00008814486,0.000037152386,0.0003262948],"category_scores_gemma":[0.000002393752,0.00007903557,0.00004670456,0.00039425452,0.000018632834,0.00018408812,0.0000059174517,0.000027346694,0.000059268456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007723113,0.000055687353,0.8396198,0.000002283706,0.000029819796,5.2896095e-8,0.000057583056,0.14684667,0.000021545442,0.013250203,0.000005116025,0.00010348938],"study_design_scores_gemma":[0.00021170155,0.000031337277,0.96477664,0.000001355287,0.000029593453,7.555592e-8,0.000024286845,0.0338922,0.00004240821,0.000489406,0.000392139,0.00010883522],"about_ca_topic_score_codex":0.046364456,"about_ca_topic_score_gemma":0.107288435,"teacher_disagreement_score":0.12515683,"about_ca_system_score_codex":0.00007531537,"about_ca_system_score_gemma":0.0000025712807,"threshold_uncertainty_score":0.9599859},"labels":[],"label_agreement":null},{"id":"W7100073926","doi":"","title":"A Behavioral Assessment of Tourism Transportation Options fo r Reducing Energy Consumption and Greenhouse Gases","year":2007,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; Greenhouse gas; Renting; Energy consumption; Resource (disambiguation); Consumption (sociology); Environmental impact assessment; Whistler; Travel behavior","score_opus":0.10505445180695025,"score_gpt":0.2777958744870666,"score_spread":0.17274142268011636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100073926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940084,0.00026278303,0.057500713,0.000040499723,0.00007620738,0.00007573981,0.000049516697,0.000015738657,0.0018948213],"genre_scores_gemma":[0.99245244,0.00045643773,0.0066269054,0.000034204713,0.00002309125,0.000008816807,0.00006975726,0.000009939629,0.000318428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992065,0.0000049618343,0.00046270134,0.0001923565,0.0000212209,0.000112284026],"domain_scores_gemma":[0.9996183,0.000022020704,0.00020571791,0.00010221046,0.0000057521484,0.00004603192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003381369,0.00007332974,0.00015439113,0.0001232631,0.00005117922,0.000011260618,0.00003378539,0.00005543315,0.00051413284],"category_scores_gemma":[0.0000022216707,0.000090905574,0.000042638752,0.000036858546,0.000048967388,0.00020643213,0.0000059549393,0.000037980342,0.000010766109],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006830908,0.00016033082,0.86832315,0.000014109282,0.000018252467,0.0000013017864,0.00020425118,0.0005561221,0.00066851295,0.124993876,0.00006474977,0.0049885153],"study_design_scores_gemma":[0.00037934742,0.000075017546,0.9945876,0.000007075815,0.000012446215,0.0000016435575,0.00011614328,0.0019933735,0.0007167171,0.0017490493,0.00025282943,0.00010877944],"about_ca_topic_score_codex":0.0015039112,"about_ca_topic_score_gemma":0.00038608082,"teacher_disagreement_score":0.12626444,"about_ca_system_score_codex":0.00007843268,"about_ca_system_score_gemma":0.0000049279756,"threshold_uncertainty_score":0.5629394},"labels":[],"label_agreement":null},{"id":"W7101221478","doi":"","title":"Optimal Tracking and Testing of U.S. and Canadian Herds for BSE: A Value-of-Information (VOI) Approach","year":2016,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tracking (education); Tracking system; Matching (statistics); Herd","score_opus":0.09481194377696373,"score_gpt":0.20798263108857165,"score_spread":0.11317068731160793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101221478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525602,0.00013455444,0.033413175,0.00012251872,0.000022551983,0.00016170104,0.000089239984,0.0000038209096,0.013492228],"genre_scores_gemma":[0.9702011,0.000032335458,0.029607775,0.000027499222,0.000010189883,0.000009397975,0.00000671653,0.000004582796,0.00010041788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994886,0.0000022754411,0.00030519706,0.000096172334,0.000009167038,0.00009861949],"domain_scores_gemma":[0.99967104,0.00004819944,0.00016593571,0.000059574326,0.000007964012,0.0000472862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003432856,0.00005034529,0.00013455159,0.000093245384,0.00003550032,0.00001221607,0.000032615004,0.00004095894,0.000027414124],"category_scores_gemma":[0.000071133436,0.00004643461,0.000017673621,0.0000280147,0.00004137092,0.00038678572,0.000012599671,0.000014048474,0.0000044368962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009648353,0.000016960896,0.78525656,0.00011244351,0.000029435963,2.7543956e-8,0.0006463336,0.0006078408,0.00013344087,0.14060074,0.000077613775,0.07250894],"study_design_scores_gemma":[0.0012409217,0.0001395659,0.892825,0.000027663034,0.000009778496,0.000004626434,0.00044547737,0.09676067,0.00064215274,0.0060432185,0.0016523895,0.00020855507],"about_ca_topic_score_codex":0.005943969,"about_ca_topic_score_gemma":0.00021759566,"teacher_disagreement_score":0.13455753,"about_ca_system_score_codex":0.000051788254,"about_ca_system_score_gemma":0.000012628159,"threshold_uncertainty_score":0.89855427},"labels":[],"label_agreement":null},{"id":"W71013383","doi":"10.3141/2526-12","title":"Survey of Cross-Regional Intermodal Passenger Travel","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Respondent; Mode choice; Revealed preference; Preference; Transport engineering; Travel survey; TRIPS architecture; Travel behavior; Survey data collection; Discrete choice; Mode (computer interface); Work (physics); Computer science; Public transport; Engineering; Econometrics; Economics; Statistics; Mathematics; Microeconomics","score_opus":0.4444506374048419,"score_gpt":0.3941170944551657,"score_spread":0.050333542949676235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W71013383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99488443,0.00052228285,0.0016733976,0.0010685651,0.0005220144,0.0004376824,0.00026898898,0.000006208697,0.00061643566],"genre_scores_gemma":[0.9980143,0.00042376984,0.0005389724,0.00003601176,0.00010200809,0.000024620875,0.000052371524,0.000038758044,0.00076922483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956178,0.0005409289,0.0020266655,0.00036448977,0.0009144871,0.00053560187],"domain_scores_gemma":[0.9962225,0.00055891945,0.00088599994,0.00039328108,0.0015997441,0.00033956583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010684199,0.00017914429,0.00054461096,0.00073851226,0.00019998329,0.0000850449,0.00085613626,0.00017889464,0.0005657366],"category_scores_gemma":[0.0003337437,0.00015974174,0.0003121052,0.00090780377,0.0008099861,0.0007531695,0.00000905397,0.0011025736,0.00011443837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000571801,0.00021444989,0.9836886,0.00005455838,0.00010237126,0.000007776381,0.0018480562,0.0011966967,0.00019221388,0.008103565,0.0033505617,0.0006693665],"study_design_scores_gemma":[0.0016712098,0.00041494318,0.9847025,0.000065917884,0.000008753181,3.4095115e-7,0.00072677276,0.00033182712,0.00034604696,0.009419825,0.0021661436,0.00014569442],"about_ca_topic_score_codex":0.024860857,"about_ca_topic_score_gemma":0.01949269,"teacher_disagreement_score":0.010350455,"about_ca_system_score_codex":0.00035490043,"about_ca_system_score_gemma":0.00032811376,"threshold_uncertainty_score":0.998399},"labels":[],"label_agreement":null},{"id":"W7110781129","doi":"10.1371/journal.pone.0324370.s012","title":"Sample size calculation formula.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preference; Sample (material); Miscarriage; Sample size determination; Bayes' theorem; Categorical variable; Prenatal screening","score_opus":0.11439385534244144,"score_gpt":0.24152711458612305,"score_spread":0.12713325924368163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110781129","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02120265,0.006239998,0.0009967171,0.0011427536,0.0011397558,0.0012126209,0.851901,0.00007987709,0.11608462],"genre_scores_gemma":[0.9333161,0.0001130771,0.00052446424,0.00096713734,0.00015871151,0.00018369041,0.054228913,0.000031827312,0.010476088],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.998166,0.000016364127,0.0008282548,0.00058803696,0.00003416046,0.00036713757],"domain_scores_gemma":[0.9985136,0.00053040823,0.00040578868,0.00044710317,0.000019313386,0.00008380719],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015442297,0.00024236317,0.00039323705,0.00015399244,0.00023387789,0.00014920831,0.00025428343,0.000274831,0.5175936],"category_scores_gemma":[0.0023724027,0.00034979338,0.00022367376,0.0002406749,0.000012217851,0.00044407995,0.0001936231,0.00018001521,0.023226265],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035169734,0.0003000096,0.14895388,0.0008183689,0.00032507337,0.0000024537858,0.00047518432,0.0040217414,0.000009278836,0.029319666,0.7952386,0.02050054],"study_design_scores_gemma":[0.0008175189,0.000040944735,0.51997185,0.00053678366,0.00001657666,5.591744e-7,0.000038764494,0.034052495,0.00010052473,0.013480366,0.43052498,0.0004186474],"about_ca_topic_score_codex":0.00008718294,"about_ca_topic_score_gemma":0.000015798767,"teacher_disagreement_score":0.9121134,"about_ca_system_score_codex":0.0005479922,"about_ca_system_score_gemma":0.000049735365,"threshold_uncertainty_score":0.9998954},"labels":[],"label_agreement":null},{"id":"W7110879631","doi":"10.1080/07011784.2025.2543860","title":"Water quality and property values: A meta-analysis and Canadian national benefit assessment","year":2025,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Property (philosophy); Quality (philosophy); Water quality; Water pollution; Work (physics); Legislation","score_opus":0.11770282665706805,"score_gpt":0.2528158100848311,"score_spread":0.13511298342776307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110879631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790897,0.0030257562,0.00007692859,0.0060592196,0.00009498153,0.00024600048,0.00036522,0.0000139812855,0.01102824],"genre_scores_gemma":[0.99013305,0.000466064,0.0003465184,0.0017844393,0.00009096356,0.000045328637,0.000091607224,0.000031276213,0.0070107304],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971819,0.00012340382,0.000989222,0.0006713233,0.00006116026,0.00097298116],"domain_scores_gemma":[0.99802023,0.000048399663,0.00020992618,0.00030072164,0.00010251709,0.0013181956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002421581,0.00034305186,0.0010014415,0.0019011884,0.0010947582,0.000618897,0.0003340338,0.00019442601,0.0009876062],"category_scores_gemma":[0.00006734022,0.00024362195,0.0003825095,0.00023194414,0.0003345605,0.00041609397,0.000063856896,0.00035695313,0.000028973556],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031629344,0.000051079616,0.74071693,0.00026767305,0.046322975,0.00014795273,0.20316508,0.0041577285,0.00015471039,0.0024043585,0.00014866795,0.002431208],"study_design_scores_gemma":[0.00054933626,0.00010161623,0.24972604,0.00003242689,0.004759006,0.00015644466,0.000825301,0.002519147,0.00022942683,0.05788314,0.6823116,0.0009065075],"about_ca_topic_score_codex":0.8539532,"about_ca_topic_score_gemma":0.9706088,"teacher_disagreement_score":0.68216294,"about_ca_system_score_codex":0.0021117372,"about_ca_system_score_gemma":0.000021151047,"threshold_uncertainty_score":0.9999256},"labels":[],"label_agreement":null},{"id":"W7110952316","doi":"10.1371/journal.pone.0324370.s005","title":"Results of the forced model; pregnant women.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preference; Miscarriage; Sample (material); Test (biology); Prenatal screening; Pregnancy; Bayes' theorem; Categorical variable","score_opus":0.11311528918731004,"score_gpt":0.21991016611628356,"score_spread":0.10679487692897352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110952316","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07995743,0.004906671,0.000055755656,0.00071585766,0.0006059616,0.0011020338,0.7934685,0.000018837809,0.11916896],"genre_scores_gemma":[0.9672527,0.00017611575,0.000038717906,0.0003270597,0.00003213173,0.00021160832,0.006501594,0.000019361481,0.025440749],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803716,0.000020952837,0.0010633614,0.0004885712,0.000040768417,0.00034919515],"domain_scores_gemma":[0.9982987,0.000081930295,0.0007835383,0.0007595394,0.000019777526,0.00005648504],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022813216,0.00020126335,0.0004044647,0.00011535781,0.00015210397,0.00004507232,0.0005402075,0.00019781369,0.048413556],"category_scores_gemma":[0.0006219476,0.00020327304,0.00022567889,0.00023482235,0.000029070985,0.00020182048,0.000413432,0.00017983717,0.0015710539],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002570975,0.0006604719,0.008298449,0.0019657952,0.00058680103,0.0000010355391,0.0058186096,0.18118557,0.00006646397,0.023880372,0.7632551,0.01402421],"study_design_scores_gemma":[0.0050620283,0.00020653101,0.13202317,0.0070668017,0.00003961578,9.734235e-7,0.00050230307,0.64381313,0.00304433,0.027105724,0.18019398,0.0009414034],"about_ca_topic_score_codex":0.000015173699,"about_ca_topic_score_gemma":0.000006959603,"teacher_disagreement_score":0.88729525,"about_ca_system_score_codex":0.0005095936,"about_ca_system_score_gemma":0.0000957206,"threshold_uncertainty_score":0.99920636},"labels":[],"label_agreement":null},{"id":"W7111111964","doi":"10.1371/journal.pone.0324370.s013","title":"Utility function and mWTP calculation.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preference; Sample (material); Miscarriage; Willingness to pay; Bayes' theorem; Function (biology); Prenatal screening","score_opus":0.12427629380408578,"score_gpt":0.22729212430835227,"score_spread":0.10301583050426649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111111964","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.111625135,0.0445562,0.0011618012,0.0024128295,0.0021944218,0.0019203698,0.5787181,0.00012426323,0.25728688],"genre_scores_gemma":[0.9661614,0.00011724568,0.00003578693,0.0004752617,0.000080796926,0.000063662905,0.02636984,0.000013640579,0.0066824122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985974,0.000018932356,0.00057426264,0.0005639639,0.000023299033,0.00022213835],"domain_scores_gemma":[0.9992821,0.0000726024,0.000255639,0.0003029741,0.000014782118,0.000071882154],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014394263,0.00018241958,0.00028820106,0.00015053214,0.00021840137,0.00012348831,0.00010092828,0.00022138443,0.27981642],"category_scores_gemma":[0.00027156252,0.00025962037,0.000097427495,0.00015533263,0.00002003186,0.0003740471,0.00015694626,0.00015575449,0.007471438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004147072,0.00017078905,0.50857,0.0006310018,0.00020876579,8.1720236e-7,0.0001559877,0.0003109514,0.0000034372915,0.019118275,0.44326785,0.027520644],"study_design_scores_gemma":[0.00042781563,0.00002366605,0.7717324,0.00020417372,0.000013941409,3.905806e-7,0.000026309619,0.01753701,0.000010759225,0.005659002,0.20418665,0.00017790361],"about_ca_topic_score_codex":0.000029240386,"about_ca_topic_score_gemma":0.000013437343,"teacher_disagreement_score":0.85453624,"about_ca_system_score_codex":0.00013845584,"about_ca_system_score_gemma":0.000029482682,"threshold_uncertainty_score":0.9999856},"labels":[],"label_agreement":null},{"id":"W7111148719","doi":"10.1371/journal.pone.0324370.s006","title":"Results of the unforced model; pregnant women.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preference; Miscarriage; Sample (material); Prenatal screening; Test (biology); Bayes' theorem; Pregnancy","score_opus":0.10717352311254787,"score_gpt":0.2180726480238703,"score_spread":0.11089912491132244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111148719","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08900712,0.0039964505,0.000043591222,0.0007167301,0.00062422035,0.0010427504,0.7650387,0.00001971557,0.13951069],"genre_scores_gemma":[0.9637405,0.00015403602,0.000032279288,0.0003274604,0.00002994122,0.00017835143,0.0068052458,0.000018417702,0.028713763],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979842,0.000020699488,0.0011190791,0.00047864535,0.000043053347,0.00035437668],"domain_scores_gemma":[0.99824214,0.000080809,0.0008190998,0.0007778992,0.000020579551,0.000059456233],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022845648,0.0002076886,0.00041572258,0.00009247147,0.0001526255,0.000047253903,0.0005616118,0.00020470975,0.052543797],"category_scores_gemma":[0.00062676956,0.00020921096,0.00022110803,0.00026224757,0.000032064505,0.00020890364,0.0004170526,0.00019049698,0.0018637854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028416308,0.000673338,0.010997798,0.002222728,0.0006593041,0.0000012864758,0.0066270367,0.2625182,0.000060847633,0.03175251,0.6698223,0.014380531],"study_design_scores_gemma":[0.0048379903,0.00018764574,0.16105732,0.0071081216,0.000037828326,0.0000010381124,0.0005363413,0.62015295,0.0028089527,0.01907708,0.1832568,0.00093793985],"about_ca_topic_score_codex":0.000019214001,"about_ca_topic_score_gemma":0.000006885049,"teacher_disagreement_score":0.8747334,"about_ca_system_score_codex":0.00053143065,"about_ca_system_score_gemma":0.000109649,"threshold_uncertainty_score":0.9989134},"labels":[],"label_agreement":null},{"id":"W7114808026","doi":"10.18280/ijsdp.201034","title":"Economic Valuation of Sustainable Lake Tourism at Lake Maninjau, Indonesia: A Combined CVM and TCM Analysis","year":2025,"lang":"","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Tourism; Ecotourism; Sustainable tourism; Valuation (finance); Sustainability","score_opus":0.026691501251000328,"score_gpt":0.2301916970137403,"score_spread":0.20350019576273995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114808026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988485,0.0038673321,0.003494267,0.00063002814,0.0006542685,0.0003056513,0.00003824328,0.000004932877,0.002520299],"genre_scores_gemma":[0.98448914,0.0010876631,0.00069155596,0.0001259789,0.00010328485,0.0000127905405,0.00012596567,0.000017498365,0.013346112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969832,0.000054136064,0.0019647197,0.00041581332,0.00015678126,0.00042535327],"domain_scores_gemma":[0.99727255,0.00019503916,0.0019547048,0.00014389223,0.00030959974,0.0001241972],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002236043,0.00030121955,0.00085703173,0.0022624093,0.00030687876,0.00024571078,0.00034025736,0.00020750913,0.0004522399],"category_scores_gemma":[0.000101379745,0.00037080763,0.00018332072,0.00031381205,0.00012128166,0.00090507074,0.00044652485,0.00024547122,0.000009382166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046427068,0.000117527976,0.944481,0.00019076062,0.0038750581,0.00028969682,0.005573492,0.010832766,0.0000037902264,0.03226456,0.00071309146,0.0011939477],"study_design_scores_gemma":[0.003097847,0.0001377065,0.94135773,0.00014288898,0.0003881453,0.000026283682,0.022278193,0.005166168,0.00012284284,0.0056380527,0.02126849,0.00037565114],"about_ca_topic_score_codex":0.00008599325,"about_ca_topic_score_gemma":0.00010130047,"teacher_disagreement_score":0.026626509,"about_ca_system_score_codex":0.0011439921,"about_ca_system_score_gemma":0.0003191268,"threshold_uncertainty_score":0.9998744},"labels":[],"label_agreement":null},{"id":"W7115812921","doi":"","title":"NON-COMMUNICABLE DISEASE PREVENTION: EVIDENCE FOR DIABETES AND TOBACCO CONTROL POLICIES IN ECUADOR","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Tobacco control; Disease; Population; Disease burden; Inequality; Burden of disease; Population health; Public health","score_opus":0.05801906473789934,"score_gpt":0.23176232049135514,"score_spread":0.1737432557534558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115812921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.811275,0.004032715,0.00016151031,0.000318468,0.00029630633,0.0011367963,0.00025924767,0.00002238138,0.18249756],"genre_scores_gemma":[0.5769582,0.00066662714,0.00015674843,0.000113062415,0.000027838949,0.000021306027,0.00017449187,0.000017036016,0.42186472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989672,0.00002163277,0.00033791183,0.00041965066,0.000022877302,0.00023076998],"domain_scores_gemma":[0.99926704,0.00011208374,0.00027682076,0.0002580395,0.000012112239,0.00007392247],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018653228,0.00020379087,0.00045079406,0.00023393407,0.000115175986,0.000062971376,0.00027528018,0.00015765625,0.0061771777],"category_scores_gemma":[0.000037516842,0.00028558949,0.00013449855,0.00013298354,0.000034311983,0.00034002642,0.00006848349,0.00013323707,0.000044377608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030124362,0.0001125097,0.95382625,0.0005093278,0.00013864352,0.000003025915,0.000375704,0.00038804873,0.0000072750954,0.004735241,0.0005514167,0.039051294],"study_design_scores_gemma":[0.0033721253,0.00013303105,0.9422802,0.0009915956,0.00015709171,9.840252e-8,0.0019102001,0.0022612405,0.00004563993,0.0051854006,0.042990122,0.0006732724],"about_ca_topic_score_codex":0.00020695661,"about_ca_topic_score_gemma":0.0010541697,"teacher_disagreement_score":0.23936716,"about_ca_system_score_codex":0.00027001117,"about_ca_system_score_gemma":0.000042155025,"threshold_uncertainty_score":0.99995965},"labels":[],"label_agreement":null},{"id":"W7116880710","doi":"10.1016/j.dajour.2025.100668","title":"An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks","year":2025,"lang":"en","type":"article","venue":"Decision Analytics Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Division of Social and Economic Sciences; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Discrete choice; Preference learning; Preference; Context (archaeology); Preference elicitation; Parametric statistics; Representation (politics); Inference","score_opus":0.1233780640120905,"score_gpt":0.315785608030816,"score_spread":0.1924075440187255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116880710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43062633,0.00034838283,0.56821984,0.000046516554,0.000077029865,0.00007746359,0.000037599355,0.000003774845,0.00056307274],"genre_scores_gemma":[0.9797934,0.00017745123,0.019748006,0.00009249729,0.000035344736,0.0000042343795,0.00005407106,0.000014334245,0.00008064534],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787617,0.000035238503,0.0014228417,0.00035717103,0.00007768526,0.00023090019],"domain_scores_gemma":[0.9981276,0.00076969946,0.0007260985,0.00027336448,0.000029693552,0.00007355892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023137175,0.00015013444,0.000681209,0.0017316461,0.00018554066,0.00012360807,0.0003168053,0.00009719474,0.00047356496],"category_scores_gemma":[0.00076122273,0.00016063135,0.0003357241,0.0007945098,0.0000398805,0.00028359078,0.00006563513,0.00025991595,0.000011712368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044932618,0.0000677174,0.5326815,0.0000056699787,0.0002345216,7.2414497e-7,0.00014233899,0.4439379,0.000016798353,0.004610086,0.000031200554,0.018226603],"study_design_scores_gemma":[0.00044368868,0.000037860813,0.37665144,0.00003430187,0.0000937398,9.700483e-7,0.0001933455,0.6062028,0.0000063793714,0.015637534,0.0006003929,0.00009756397],"about_ca_topic_score_codex":0.00004942436,"about_ca_topic_score_gemma":0.0007818127,"teacher_disagreement_score":0.5491671,"about_ca_system_score_codex":0.00029685296,"about_ca_system_score_gemma":0.000020236397,"threshold_uncertainty_score":0.6550356},"labels":[],"label_agreement":null},{"id":"W7116882375","doi":"10.1111/aje.70136","title":"Public Preferences for Forest Restoration in Togo","year":2025,"lang":"en","type":"article","venue":"African Journal of Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"German Academic Exchange Service; Deutscher Akademischer Austauschdienst","keywords":"Biodiversity; Preference; Sample (material); Status quo; Willingness to pay; Population; Carbon sequestration; Perception; Biodiversity conservation","score_opus":0.17595351428695807,"score_gpt":0.24548739761369,"score_spread":0.06953388332673194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116882375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814316,0.00032374173,0.003447092,0.0026487173,0.00048103213,0.00011790596,0.000007904148,0.0000019054175,0.011540126],"genre_scores_gemma":[0.99855816,0.00007812877,0.00082105084,0.00016769514,0.000044066517,0.00001652633,0.0000036684526,0.0000035511455,0.00030712085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919236,0.00001723471,0.00055950443,0.00009964423,0.000009465719,0.000121772624],"domain_scores_gemma":[0.9993632,0.00011266125,0.00041411858,0.00006642859,0.000018394398,0.00002522219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023439,0.000048894908,0.0002197947,0.0003199298,0.00003210515,0.0000178413,0.00012608901,0.00005812043,0.00011888698],"category_scores_gemma":[0.0002269495,0.00005376576,0.000052158142,0.00009825608,0.000036597736,0.00021296105,0.000016350688,0.000070697024,0.000020502466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017529259,0.00004926976,0.872266,0.0000048521474,0.000018522058,4.0386442e-7,0.0000910753,0.00033755833,0.0000061203564,0.12560667,0.0008038245,0.00079818483],"study_design_scores_gemma":[0.0005641016,0.00020899002,0.81187904,0.000004205109,0.0000032614312,0.0000016920686,0.00017718361,0.00045223147,0.000006792779,0.17924938,0.0074081575,0.000044985794],"about_ca_topic_score_codex":0.000015266136,"about_ca_topic_score_gemma":0.0005303287,"teacher_disagreement_score":0.060386974,"about_ca_system_score_codex":0.00020337266,"about_ca_system_score_gemma":0.000044294764,"threshold_uncertainty_score":0.21925043},"labels":[],"label_agreement":null},{"id":"W7119263703","doi":"","title":"BLUE GOLD OF CANADA: THREE ESSAYS ON VALUING WATER’S ECONOMIC PROMISE","year":2025,"lang":"en","type":"article","venue":"University Library (University of Saskatchewan)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Amenity; Valuation (finance); CLARITY; Water use; Value (mathematics); Water resources; Climate change; Marginal value; Water quality","score_opus":0.017669003562945297,"score_gpt":0.14034146935001832,"score_spread":0.12267246578707303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7119263703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9524047,0.00004599021,0.00043801902,0.0011078048,0.0001764576,0.00016768351,0.0003059393,0.000024409223,0.04532901],"genre_scores_gemma":[0.97823,0.00004802896,0.00045222175,0.00006658235,0.000009911035,4.954382e-8,0.00005038606,0.000009446394,0.021133346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919206,0.000018475754,0.00021078697,0.00033622535,0.000032617143,0.00020980935],"domain_scores_gemma":[0.99936634,0.000040117287,0.00021704037,0.00029622432,0.0000061554156,0.00007409972],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012842407,0.00013448077,0.00036525817,0.00027196057,0.00013269678,0.000007942912,0.0004382954,0.00010435575,0.0012768353],"category_scores_gemma":[0.0000024283352,0.00019047437,0.00012782044,0.0000982297,0.00013434849,0.00069585536,0.0002422509,0.0001114248,0.00008511321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000647367,0.00037120178,0.7813878,0.00030827173,0.00073804555,0.000051219835,0.013324328,0.013337207,0.00031724336,0.173426,0.014486964,0.0016043456],"study_design_scores_gemma":[0.010497209,0.0005447807,0.7131296,0.00037198525,0.00023954718,0.0000032141363,0.13491988,0.012333908,0.015002215,0.0523491,0.058637302,0.0019712932],"about_ca_topic_score_codex":0.12177869,"about_ca_topic_score_gemma":0.08864489,"teacher_disagreement_score":0.12159555,"about_ca_system_score_codex":0.0004497361,"about_ca_system_score_gemma":0.0002630546,"threshold_uncertainty_score":0.9996361},"labels":[],"label_agreement":null},{"id":"W7120844739","doi":"","title":"Disponibilidade a pagar por procedimentos odontológicos : estudo bibliométrico e análise de fatores associados","year":2023,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Observational study; Preference; Descriptive statistics; Socioeconomic status; Valuation (finance)","score_opus":0.049941504561691816,"score_gpt":0.25344236686610855,"score_spread":0.20350086230441672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7120844739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9398887,0.003920681,0.0022394443,0.008337526,0.0044894386,0.00308715,0.0013603533,0.0007357657,0.035940923],"genre_scores_gemma":[0.9815048,0.0025536737,0.0008109128,0.0002630675,0.00086250866,0.0012434456,0.004631922,0.00031265756,0.00781703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99227196,0.00037176747,0.0026568682,0.0023012434,0.00062365114,0.0017745323],"domain_scores_gemma":[0.9946034,0.0004489091,0.0026414413,0.0010941596,0.00025534714,0.0009567538],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0023762418,0.001291989,0.0016832716,0.0035501735,0.0012864488,0.0008344401,0.0012924636,0.002020986,0.00037673517],"category_scores_gemma":[0.00133339,0.0015941693,0.00087002805,0.0028706826,0.000045006615,0.0010546366,0.0003600758,0.0014650032,0.00068838836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011469823,0.0046678297,0.22165464,0.0018266174,0.002718179,0.0004599881,0.022238355,0.001292501,0.002388032,0.72900355,0.007414363,0.00518897],"study_design_scores_gemma":[0.0045305337,0.00037918834,0.5028386,0.0007112632,0.00051797205,0.00029853918,0.0054218154,0.008094529,0.0008277354,0.0023283204,0.4710215,0.003029998],"about_ca_topic_score_codex":0.000032005948,"about_ca_topic_score_gemma":0.0005263286,"teacher_disagreement_score":0.7266752,"about_ca_system_score_codex":0.004327275,"about_ca_system_score_gemma":0.000894596,"threshold_uncertainty_score":0.9999832},"labels":[],"label_agreement":null},{"id":"W7132979585","doi":"","title":"Three essays on Bayesian choice models","year":2002,"lang":"","type":"dissertation","venue":"TSpace","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dirichlet process; Bayesian probability; Autoregressive model; Discrete choice; Mixed logit; Bayesian linear regression; Parametric statistics; Nonparametric statistics; Semiparametric regression","score_opus":0.12347594522553684,"score_gpt":0.269769875428226,"score_spread":0.14629393020268916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132979585","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43255025,0.0052075703,0.017041083,0.00079540774,0.0029173158,0.0011851592,0.00017839357,0.0000792745,0.54004556],"genre_scores_gemma":[0.92097217,0.0037568705,0.0006744428,0.00040286485,0.0005553894,0.00015648275,0.00081751205,0.0002203735,0.07244387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960082,0.000029662408,0.0013966428,0.0016365557,0.00013545662,0.0007934438],"domain_scores_gemma":[0.99694926,0.00015511672,0.00148656,0.0010984521,0.000023719887,0.00028686988],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005400834,0.00085002696,0.0011786395,0.0005044135,0.00042954134,0.00020983057,0.0006029712,0.0009181813,0.015126174],"category_scores_gemma":[0.00007162334,0.0011989202,0.0004814968,0.00024338446,0.000094132105,0.0005374798,0.00006952519,0.0007798902,0.0132013345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038904435,0.00302882,0.1390658,0.0010046443,0.0015808118,0.000027707245,0.029170955,0.13088195,0.000065863445,0.61585206,0.023969943,0.054962426],"study_design_scores_gemma":[0.0028300053,0.0006901588,0.12598354,0.00037308244,0.00016948805,0.0000044728445,0.0025720838,0.75220555,0.0001423566,0.100328475,0.0116571775,0.0030435966],"about_ca_topic_score_codex":0.001538339,"about_ca_topic_score_gemma":0.00073939154,"teacher_disagreement_score":0.6213236,"about_ca_system_score_codex":0.0008972649,"about_ca_system_score_gemma":0.000031350817,"threshold_uncertainty_score":0.9990461},"labels":[],"label_agreement":null},{"id":"W7133008322","doi":"","title":"Capturing Residential Preference Changes through Perception Detections of Rationally Inattentive Decision Makers","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Discrete choice; Context (archaeology); Preference; Empirical research; Perception; Survey data collection; Data collection; Travel survey; Choice modelling; Mixed logit","score_opus":0.17247089280852174,"score_gpt":0.3061318195917329,"score_spread":0.13366092678321118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133008322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818882,0.0007437479,0.008527857,0.0003968861,0.0029249114,0.000879597,0.00019480623,0.000051113595,0.0043929205],"genre_scores_gemma":[0.96806055,0.0057333265,0.0014325695,0.00004784944,0.00025354893,0.00017510215,0.0011774988,0.000107280706,0.023012292],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9969503,0.000059777467,0.0012825574,0.0010844517,0.00019190056,0.0004310035],"domain_scores_gemma":[0.9973936,0.00016532895,0.0017533471,0.0004990241,0.000099014615,0.000089670015],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006649334,0.00047945106,0.00079881185,0.00059125945,0.00041644406,0.00011465945,0.0003402303,0.00059418316,0.0025800902],"category_scores_gemma":[0.0002213399,0.0006718953,0.00031175243,0.00040756946,0.00013964502,0.0005187362,0.00012658112,0.0004361221,0.0019298159],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033743249,0.0020075578,0.3099507,0.003868731,0.0030353041,0.000027714037,0.4775458,0.06606452,0.029557358,0.03610162,0.008284334,0.060182024],"study_design_scores_gemma":[0.0011176829,0.00027206368,0.944842,0.00044553963,0.00014211929,0.0000029420232,0.037382,0.0033724182,0.0013358011,0.009714847,0.00062319625,0.00074940274],"about_ca_topic_score_codex":0.0031187015,"about_ca_topic_score_gemma":0.0051108752,"teacher_disagreement_score":0.6348913,"about_ca_system_score_codex":0.0007539422,"about_ca_system_score_gemma":0.000082339866,"threshold_uncertainty_score":0.99957323},"labels":[],"label_agreement":null},{"id":"W7161943986","doi":"10.82308/19789","title":"Estimating willingness to pay for the preservation of the Alfred bog wetland in Ontario : a multiple bounded discrete choice approach","year":2002,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bog; Willingness to pay; Contingent valuation; Wetland; Value (mathematics); Endangered species; Habitat; Willingness to accept; Natural resource","score_opus":0.10345872571723218,"score_gpt":0.23479552085427882,"score_spread":0.13133679513704666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161943986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9666627,0.00017101043,0.020578548,0.00028724488,0.0008137575,0.0023543674,0.000117489566,0.000011225412,0.009003633],"genre_scores_gemma":[0.96458423,0.000013280511,0.0064018713,0.000084653744,0.00007456566,0.00058880687,0.0006800213,0.000037817455,0.027534762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851626,0.0000146348775,0.0008057518,0.000406852,0.00005107157,0.00020541192],"domain_scores_gemma":[0.99871314,0.00021414054,0.000635164,0.0003929044,0.000015817626,0.000028843684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050855696,0.00019856484,0.00037848865,0.00007711394,0.0001644122,0.00006460728,0.0003665142,0.00016650438,0.00017236933],"category_scores_gemma":[0.00023694569,0.00013604191,0.00014986153,0.00011852278,0.000020582222,0.00020881288,0.000039998984,0.00021190832,0.000016782344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045548986,0.00008900055,0.96546036,0.00013051178,0.000069397276,2.1478229e-8,0.004512995,0.026459107,0.000025076079,0.0021322642,0.0003828449,0.0006928732],"study_design_scores_gemma":[0.0005601425,0.000022499271,0.7257999,0.000039259947,0.000016824348,1.185387e-7,0.00026316734,0.26850542,0.000037641203,0.0022706762,0.0023121545,0.0001721778],"about_ca_topic_score_codex":0.102418125,"about_ca_topic_score_gemma":0.3888287,"teacher_disagreement_score":0.28641057,"about_ca_system_score_codex":0.00035548827,"about_ca_system_score_gemma":0.000029997927,"threshold_uncertainty_score":0.90355897},"labels":[],"label_agreement":null},{"id":"W7161960879","doi":"10.82308/33236","title":"Consumer behaviour of environmentally sustainable agricultural practices: Consumer acceptance of and willingness to pay for gene editing and reduced methane beef","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumer demand; Cost analysis; Willingness to pay; Food processing; Animal production","score_opus":0.05118876878561995,"score_gpt":0.2644711766898316,"score_spread":0.21328240790421166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161960879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99267185,0.002823051,0.0002377168,0.00009938396,0.00023114953,0.0010595705,0.0003685675,0.0000071571562,0.0025015548],"genre_scores_gemma":[0.97467923,0.0015465234,0.0039196587,0.000041777977,0.000039975574,0.0001689813,0.0007553624,0.000024459365,0.018824015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827754,0.000016548256,0.0008862951,0.0005403769,0.000043307737,0.0002359334],"domain_scores_gemma":[0.997857,0.00015146955,0.0016981915,0.00017941135,0.000041434083,0.00007254285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005121086,0.00024227668,0.0006748577,0.00014257002,0.000081619226,0.00003339298,0.00012216832,0.0002187224,0.00017644234],"category_scores_gemma":[0.00022494701,0.00023572924,0.000086046406,0.00007953174,0.00005180425,0.0003087693,0.000059896003,0.00011541075,0.000004902527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072599994,0.0007806168,0.89511657,0.005593664,0.0015220505,0.0000035514583,0.0077283755,0.00033908707,0.034574427,0.037174914,0.0019210012,0.014519736],"study_design_scores_gemma":[0.0017042346,0.00022749371,0.93555915,0.00014881763,0.00032307545,0.000003682861,0.019020423,0.00015274093,0.03850509,0.0013660303,0.0023228137,0.0006664489],"about_ca_topic_score_codex":0.0006049337,"about_ca_topic_score_gemma":0.000099483324,"teacher_disagreement_score":0.040442575,"about_ca_system_score_codex":0.000112144866,"about_ca_system_score_gemma":0.000029061155,"threshold_uncertainty_score":0.961276},"labels":[],"label_agreement":null},{"id":"W7162014570","doi":"10.82308/37200","title":"Landowners' willingness to accept compensation for selling saltwater marshes to a conservation program : a multiple bounded discrete choice approach","year":2001,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Willingness to pay; Marsh; Wetland conservation; Carbon offset; Carbon tax; Valuation (finance)","score_opus":0.11289533814423929,"score_gpt":0.2764146337391522,"score_spread":0.1635192955949129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162014570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8838729,0.000110575835,0.09503689,0.00050058844,0.0007443145,0.0057012145,0.00023942355,0.00016433727,0.013629757],"genre_scores_gemma":[0.8896876,0.0000759897,0.055218507,0.0010570225,0.0004077035,0.0039907275,0.015524259,0.00016054354,0.03387764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975696,0.000019267907,0.0009823744,0.00092095335,0.00006869813,0.0004390804],"domain_scores_gemma":[0.9988525,0.000119911696,0.0004736588,0.00033607372,0.00005297369,0.00016486457],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005276052,0.00039126145,0.00065449433,0.00027965862,0.00023431751,0.00029114363,0.00025965893,0.0003155299,0.000258981],"category_scores_gemma":[0.00012755378,0.0004348061,0.00019173889,0.00021848042,0.000017413538,0.0003327742,0.000031369793,0.00014752256,0.00043846678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016474465,0.0013481589,0.86680096,0.001573098,0.00077788887,0.0000012360495,0.01332331,0.02477036,0.0003345875,0.021096619,0.008293976,0.06003235],"study_design_scores_gemma":[0.0044712294,0.0007090265,0.58922887,0.00019243408,0.00014066114,0.0000027634628,0.0027569795,0.18034565,0.0007687488,0.008630328,0.21018967,0.0025636288],"about_ca_topic_score_codex":0.0013003027,"about_ca_topic_score_gemma":0.0021148378,"teacher_disagreement_score":0.2775721,"about_ca_system_score_codex":0.00040120122,"about_ca_system_score_gemma":0.000024271869,"threshold_uncertainty_score":0.9998104},"labels":[],"label_agreement":null},{"id":"W7165176390","doi":"10.6082/tnebd-kx587","title":"The Impact of Maternal Education on Children's Allocation Preferences across 13 Countries","year":2021,"lang":"en","type":"article","venue":"University of Chicago","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Collectivism; Individualism; China; Variety (cybernetics); Developing country","score_opus":0.02748242808294363,"score_gpt":0.21422024075655893,"score_spread":0.1867378126736153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7165176390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946494,0.00021593404,0.000116642106,0.00022455993,0.000068597765,0.00005270886,0.000120051074,0.0000032191301,0.0045488584],"genre_scores_gemma":[0.9984905,0.0005173499,0.000051077113,0.000012319429,0.000015126679,1.360625e-7,0.000041234554,0.0000025485524,0.000869667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996616,0.000010484184,0.00012875508,0.00010961427,0.00002143507,0.00006810353],"domain_scores_gemma":[0.9995843,0.000024559014,0.00021916366,0.00013546374,0.000018223935,0.000018268327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011769653,0.000045299876,0.000101621255,0.000021617554,0.00010718241,0.000013048837,0.00010969355,0.000034772635,0.00031342125],"category_scores_gemma":[0.000012109086,0.00004559526,0.00006395554,0.000035972065,0.00009228626,0.00010373032,0.000028121309,0.00003791477,0.000063685664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028770139,0.00009220387,0.9712264,0.000005202112,0.00007333631,8.066524e-8,0.0010334569,0.00095100346,0.000025979942,0.02318319,0.000496272,0.0028841293],"study_design_scores_gemma":[0.00017438842,0.000045601373,0.9944776,0.000008900567,0.0000032219637,6.819652e-7,0.0003996512,0.000119025266,0.00065670843,0.0036485062,0.00042145554,0.00004420023],"about_ca_topic_score_codex":0.0011698453,"about_ca_topic_score_gemma":0.0001033435,"teacher_disagreement_score":0.023251284,"about_ca_system_score_codex":0.000079220066,"about_ca_system_score_gemma":0.00004333782,"threshold_uncertainty_score":0.3431743},"labels":[],"label_agreement":null},{"id":"W751958993","doi":"10.1016/b978-0-08-097086-8.43122-3","title":"Best Worst Scaling: Theory and Practice","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Exposition (narrative); Scaling; Best practice; Data collection; Computer science; Statistics; Econometrics; Mathematics; Art; Literature; Geometry; Political science","score_opus":0.12536620406572,"score_gpt":0.2524285116177286,"score_spread":0.12706230755200862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W751958993","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029415457,0.01543561,0.000042199168,0.0001467963,0.00036193465,0.00029296306,0.00009981186,0.000022390244,0.98330414],"genre_scores_gemma":[0.0055443654,0.0011018157,0.0005591775,0.0005315143,0.00028828863,0.00001921234,0.00004031674,0.000085791165,0.9918295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985929,0.000026195654,0.0006025067,0.0005344323,0.00004662975,0.00019729648],"domain_scores_gemma":[0.9987026,0.00015290611,0.0005946649,0.00038972392,0.00001835397,0.00014179248],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020604345,0.00029071802,0.00050348084,0.00013327885,0.000089092006,0.00006967556,0.00015198745,0.00030890803,0.0008546466],"category_scores_gemma":[0.0001541944,0.00034944303,0.00010506952,0.0000056998233,0.00018192995,0.00015624668,0.00013857606,0.0002942768,0.004360943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022611011,0.000012369712,0.00011993475,0.000023593226,0.00010366926,0.000004773114,0.0003268767,0.0000033809536,4.855982e-7,0.593695,0.00025000985,0.40543732],"study_design_scores_gemma":[0.00022786895,0.00003870257,0.00009376561,0.000048835915,0.000045311568,0.000018755773,0.000049307935,0.000009103736,6.7897355e-7,0.26637727,0.7327901,0.00030032077],"about_ca_topic_score_codex":0.000002011517,"about_ca_topic_score_gemma":0.0000037546286,"teacher_disagreement_score":0.7325401,"about_ca_system_score_codex":0.00022846983,"about_ca_system_score_gemma":0.000023688675,"threshold_uncertainty_score":0.99989575},"labels":[],"label_agreement":null},{"id":"W760547216","doi":"10.7939/r3pv6b815","title":"Integrated resource management in Alberta's boreal forest: opportunities and constraints","year":2001,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taiga; Environmental resource management; Boreal; Resource (disambiguation); Resource management (computing); Forest management; Business; Environmental science; Geography; Environmental planning; Forestry; Computer science; Archaeology","score_opus":0.044341138383197184,"score_gpt":0.1626882330357518,"score_spread":0.11834709465255462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W760547216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5898118,0.000054536496,0.000043131535,0.00093124894,0.000013447639,0.00006990828,0.000006674103,0.000004618581,0.40906465],"genre_scores_gemma":[0.97184014,0.0011218983,0.00050246704,0.000142884,0.000005665242,2.7228086e-7,0.00011186233,0.000008489962,0.026266338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994875,0.000011421588,0.0001769941,0.00019099607,0.000013707172,0.00011934991],"domain_scores_gemma":[0.99966913,0.000051664934,0.00010591247,0.00011812952,0.0000011163398,0.000054053602],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006113142,0.00008004819,0.00016810028,0.0001750163,0.000037048943,0.000012244814,0.000118030155,0.000054388576,0.0011740172],"category_scores_gemma":[0.0000036803872,0.00011032074,0.000033566088,0.000068416346,0.00019285416,0.0004701987,0.00009581163,0.000052687916,0.00005651538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039569466,0.00004785442,0.7648078,0.000012793675,0.000037382026,0.00001826575,0.0013070939,0.000040190385,1.686383e-7,0.22843239,0.0014873882,0.0037690816],"study_design_scores_gemma":[0.0010204585,0.00004338919,0.7999135,0.000028668112,0.000008097271,0.000006089922,0.005417942,0.0014346887,0.000002957848,0.0062805885,0.18566376,0.000179817],"about_ca_topic_score_codex":0.0058888653,"about_ca_topic_score_gemma":0.0014842085,"teacher_disagreement_score":0.3827983,"about_ca_system_score_codex":0.0000297539,"about_ca_system_score_gemma":0.0000067809956,"threshold_uncertainty_score":0.99973905},"labels":[],"label_agreement":null},{"id":"W771791550","doi":"","title":"Meta-Regression Analysis and Benefit Transfer in the Sportfishing Literature When Valuation Studies Contain Dependent Measurements","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metadata; Statistics; Regression analysis; Meta-regression; Valuation (finance); Regression; Computer science; Data set; Meta-analysis; Linear regression; Econometrics; Mathematics; Medicine; Accounting","score_opus":0.38086690249239474,"score_gpt":0.2815624295640781,"score_spread":0.09930447292831662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W771791550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708693,0.02340273,0.003290129,0.00057885714,0.000087117696,0.00024303666,0.000020451747,0.0000071869276,0.0015011809],"genre_scores_gemma":[0.99779785,0.00080867176,0.00036991094,0.0004383358,0.000036715526,0.00006037827,0.000044081615,0.0000072934317,0.00043677408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900734,0.000036273617,0.00046160552,0.00024033299,0.00007097523,0.00018344354],"domain_scores_gemma":[0.9996211,0.000054599444,0.00010244925,0.00017425788,0.000010839995,0.000036765443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029800301,0.00014320124,0.00041564254,0.00020827522,0.00008791969,0.00007060517,0.000092591894,0.0000657359,0.0003517531],"category_scores_gemma":[0.000023577606,0.000095038646,0.00014143091,0.00016673433,0.000021207954,0.0006479425,0.00002262287,0.000093259914,0.000029200484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058743876,0.000058032063,0.9782787,0.000008223921,0.0016397664,2.5881488e-7,0.0079327,0.00024358464,0.000015393116,0.011239391,0.00002229871,0.0005557874],"study_design_scores_gemma":[0.00044288757,0.000018798855,0.9818958,0.000008324028,0.0009056761,0.000001283243,0.0012921208,0.00052137824,0.00013979014,0.014446228,0.00016693851,0.00016076704],"about_ca_topic_score_codex":0.00018692542,"about_ca_topic_score_gemma":0.00045470285,"teacher_disagreement_score":0.026928527,"about_ca_system_score_codex":0.00012090211,"about_ca_system_score_gemma":0.0000014372765,"threshold_uncertainty_score":0.38755634},"labels":[],"label_agreement":null},{"id":"W83228370","doi":"","title":"THE USE OF THE GOODS AND SERVICES TAX BY THE MONTHLY RESTAURANTS, CATERERS AND TAVERNS SURVEY","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Business; Sample (material); Agency (philosophy); Survey data collection; Goods and services; Service (business); Data quality; Quality (philosophy); Survey sampling; Marketing; Accounting; Economics; Environmental health; Statistics","score_opus":0.07778456064587518,"score_gpt":0.1866791619317639,"score_spread":0.10889460128588872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W83228370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548864,0.0011349536,0.000019987294,0.0007719915,0.000069077396,0.000141609,0.00034212292,0.0000027951742,0.0020287957],"genre_scores_gemma":[0.9961353,0.0005651658,0.000023725068,0.00017572142,0.000010403388,0.0000052236896,0.000014077163,0.0000073431556,0.0030630438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942696,0.00003508638,0.0002628894,0.00015028368,0.000019143761,0.00010566561],"domain_scores_gemma":[0.999423,0.0001521862,0.0001831015,0.00022319893,0.000003224122,0.00001527421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050578226,0.00007257035,0.000105204046,0.000010791481,0.00019012288,0.00008680561,0.00012973054,0.000035838184,0.00003635997],"category_scores_gemma":[0.000011753267,0.000040592553,0.000023643537,0.00003775006,0.00014947072,0.00011977596,0.00007615952,0.000046776415,0.000010708277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004905527,0.000009627474,0.9916972,0.00000413956,0.00001268967,1.918413e-8,0.00008131398,0.00014100145,0.000015712427,0.0041758916,0.0036019797,0.0002555323],"study_design_scores_gemma":[0.00015543296,0.000009709099,0.97472686,0.0000021314638,0.0000033228887,4.265501e-7,0.00011525082,0.0024228133,0.000074924676,0.0014134189,0.02101671,0.000059015245],"about_ca_topic_score_codex":0.039460424,"about_ca_topic_score_gemma":0.012125378,"teacher_disagreement_score":0.027335048,"about_ca_system_score_codex":0.000022933398,"about_ca_system_score_gemma":0.000002325801,"threshold_uncertainty_score":0.9669359},"labels":[],"label_agreement":null},{"id":"W878630736","doi":"10.1016/j.wasman.2015.06.044","title":"North of the 46° parallel: Obstacles and challenges to recycling in Ontario’s rural and northern communities","year":2015,"lang":"en","type":"article","venue":"Waste Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Rural area; Business; Natural resource economics; Environmental planning; Environmental science; Economics; Political science","score_opus":0.171214120558129,"score_gpt":0.20132037791227567,"score_spread":0.030106257354146654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W878630736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888411,0.0015905903,0.000023407561,0.0006966372,0.00006718092,0.00019892832,0.000004457066,0.000003284724,0.008574401],"genre_scores_gemma":[0.9978538,0.0012424189,0.0002834283,0.000102651255,0.000006715277,0.000017008279,0.0000031990378,0.0000067501614,0.0004839999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953485,0.000013149607,0.00023594349,0.00010064268,0.000021123016,0.00009432281],"domain_scores_gemma":[0.9996866,0.000011113815,0.00009045114,0.00017737971,0.000002582189,0.00003188095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002630722,0.00006840214,0.00014211547,0.00006395425,0.00003251901,0.000015160808,0.00009917616,0.000017469645,0.000010832757],"category_scores_gemma":[0.000003079173,0.00006574591,0.000016138622,0.000026677406,0.000036958056,0.000074575204,0.00017225381,0.00005025252,0.000013441516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008082565,0.000021172345,0.9762714,0.000024433513,0.000019593981,2.499656e-7,0.008060115,0.0034614238,1.2353948e-7,0.0075598336,0.000014027496,0.004559536],"study_design_scores_gemma":[0.0003878388,0.00003368882,0.9778476,0.000024148658,0.0000039304596,3.1291162e-7,0.014078953,0.00034467073,0.0000012612098,0.0029396212,0.004255844,0.00008215186],"about_ca_topic_score_codex":0.01915986,"about_ca_topic_score_gemma":0.40733445,"teacher_disagreement_score":0.38817456,"about_ca_system_score_codex":0.00011890651,"about_ca_system_score_gemma":0.0000024632402,"threshold_uncertainty_score":0.9873716},"labels":[],"label_agreement":null},{"id":"W88221613","doi":"10.1257/mic.20130118","title":"Inferring Rationales from Choice: Identification for Rational Shortlist Methods","year":2015,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Axiom; Identification (biology); Mathematical economics; Variety (cybernetics); Preference; Maximization; Revealed preference; Utility maximization; Binary relation; Economics; Computer science; Microeconomics; Econometrics; Mathematics; Artificial intelligence; Biology; Discrete mathematics","score_opus":0.16311406163174638,"score_gpt":0.32694218233948114,"score_spread":0.16382812070773475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W88221613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82917917,0.0009864527,0.16240469,0.001884423,0.002061384,0.00039389636,0.00075867045,0.000038594553,0.0022927073],"genre_scores_gemma":[0.91826785,0.0003298184,0.077355854,0.0009040406,0.0016834538,0.00011326282,0.00053800776,0.000093461545,0.00071423134],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99717075,0.000058522768,0.0017283837,0.0006273311,0.000026059282,0.00038895235],"domain_scores_gemma":[0.99714196,0.00029686748,0.0018473483,0.00036573043,0.000041420677,0.00030667984],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019566687,0.00028654837,0.00065955555,0.0002739449,0.00025742681,0.0004011894,0.00043483614,0.00009553746,0.00046479722],"category_scores_gemma":[0.00021832962,0.0003856754,0.00027506088,0.000051838455,0.00023872855,0.0011079104,0.0000782867,0.00022391319,0.0013872966],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017313554,0.00022210837,0.7935449,0.000014067507,0.0009020845,0.0000013288734,0.0016195902,0.04489272,0.0016038514,0.10198928,0.019796072,0.03524088],"study_design_scores_gemma":[0.00470322,0.00033359998,0.29523116,0.00001940592,0.00010085218,0.00009339832,0.0026834337,0.065707184,0.0021833938,0.25759092,0.36956793,0.0017855022],"about_ca_topic_score_codex":0.0005589225,"about_ca_topic_score_gemma":0.0001998356,"teacher_disagreement_score":0.49831372,"about_ca_system_score_codex":0.0020615458,"about_ca_system_score_gemma":0.00020516048,"threshold_uncertainty_score":0.9998595},"labels":[],"label_agreement":null},{"id":"W896509145","doi":"","title":"Neighborhood effects among landscaped park users in Saguenay.","year":2011,"lang":"fr","type":"article","venue":"VertigO - La Revue Electronique en Sciences de l'Environment","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Environmental science","score_opus":0.035974698479399415,"score_gpt":0.21604374218595054,"score_spread":0.18006904370655114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W896509145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620875,0.012615586,0.009005917,0.0012268616,0.00045572687,0.00064352434,0.000017618284,0.00002962774,0.013917647],"genre_scores_gemma":[0.98195106,0.010624836,0.0040871683,0.00030172692,0.00012687729,0.00015530847,0.000014643234,0.00005331699,0.0026850598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99647444,0.00039089832,0.00084422383,0.0010451354,0.00009880433,0.0011465106],"domain_scores_gemma":[0.99863666,0.00025243964,0.0004430089,0.00045615257,0.000002178458,0.00020953646],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002557515,0.00039738865,0.00057853875,0.00030313074,0.00020390423,0.0000937702,0.0006168254,0.00039611533,0.0022578037],"category_scores_gemma":[0.00007218785,0.00051617366,0.00020440962,0.00025531207,0.00060924113,0.0007545884,0.00017148057,0.0005288251,0.0009946978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022857728,0.00038067254,0.9672689,0.000069447095,0.000054830976,0.000027211521,0.0031453774,0.0034447154,0.00013830453,0.022998044,0.00031911983,0.0021305191],"study_design_scores_gemma":[0.00090842554,0.00063367083,0.9575663,0.00012503381,0.000039307288,0.000031805226,0.0001714318,0.014467375,0.0012992154,0.01626012,0.007820528,0.0006767777],"about_ca_topic_score_codex":0.0008296682,"about_ca_topic_score_gemma":0.00020780647,"teacher_disagreement_score":0.019863572,"about_ca_system_score_codex":0.0017829183,"about_ca_system_score_gemma":0.00005177657,"threshold_uncertainty_score":0.99978316},"labels":[],"label_agreement":null},{"id":"W907580209","doi":"10.1016/j.reseneeco.2015.07.001","title":"The effect of choice set misspecification on welfare measures in random utility models","year":2015,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Choice set; Econometrics; Valuation (finance); Set (abstract data type); Monte Carlo method; Welfare; Economics; Mathematics; Computer science; Statistics","score_opus":0.10429994131141672,"score_gpt":0.21191012319444638,"score_spread":0.10761018188302966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W907580209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600441,0.001791764,0.00020317655,0.00056559546,0.000084102336,0.00008673192,0.000030451502,0.000008487892,0.037185635],"genre_scores_gemma":[0.99861294,0.0008647514,0.000013694634,0.00005501728,0.000048656035,0.000026761549,0.00002893901,0.000015125918,0.00033410842],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896085,0.000058207894,0.0005036694,0.00029193406,0.000020222902,0.00016513791],"domain_scores_gemma":[0.9991819,0.00018678662,0.00024995598,0.00030070115,0.000004963257,0.00007565519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012672279,0.00012915295,0.00031475496,0.000081115315,0.000094164905,0.000035390294,0.00014449807,0.00009050437,0.0000140990005],"category_scores_gemma":[0.00007114462,0.000118106786,0.000063103085,0.00004359769,0.0000810611,0.0001338349,0.000037450776,0.000075254866,0.000015382271],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010452463,0.00008190139,0.5411235,0.000030988907,0.000110656656,5.474061e-7,0.000925323,0.15095758,0.0000043796117,0.2557212,0.0011245385,0.048874125],"study_design_scores_gemma":[0.0068914243,0.00045024048,0.1031115,0.000021828644,0.000016128506,0.0000031377065,0.0006511118,0.20119068,0.00051992555,0.024482407,0.66217566,0.00048597486],"about_ca_topic_score_codex":0.0006160379,"about_ca_topic_score_gemma":0.0002353474,"teacher_disagreement_score":0.6610511,"about_ca_system_score_codex":0.00013880913,"about_ca_system_score_gemma":0.0000064209858,"threshold_uncertainty_score":0.48162547},"labels":[],"label_agreement":null},{"id":"W94024393","doi":"10.1023/a:1014514601863","title":"Consumer Confusion Over the Significance of Meat Attributes: The Case of Veal","year":2002,"lang":"en","type":"article","venue":"Journal of Consumer Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"","keywords":"Quality (philosophy); Confusion; Production (economics); Business; Product (mathematics); Willingness to pay; Agricultural science; Processed meat; Food science; Economics; Biology; Mathematics; Psychology","score_opus":0.10489491556206232,"score_gpt":0.2551524544269171,"score_spread":0.15025753886485477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W94024393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867437,0.0065132394,0.00019062076,0.0018768176,0.00020075943,0.00017462806,0.00012487422,0.0000020813332,0.0041732728],"genre_scores_gemma":[0.99701345,0.002149419,0.00005777382,0.00036159984,0.000116466916,0.0000030056663,9.443961e-7,0.000011894952,0.0002854413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985871,0.000055171084,0.0010317828,0.000111457746,0.000051570692,0.0001629652],"domain_scores_gemma":[0.99784636,0.0002876482,0.001482185,0.0002836405,0.0000432237,0.000056943016],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074292644,0.00011376174,0.00038953344,0.00014400613,0.00009034924,0.000018192175,0.00024737575,0.0000658964,0.0011593688],"category_scores_gemma":[0.00014910632,0.000078312376,0.00019537282,0.0001428636,0.00035639905,0.00016235633,0.00004503065,0.00018189264,0.00009547844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012690156,0.0006171124,0.7503947,0.00012482247,0.0010217385,0.00007879958,0.0054900534,0.0010850931,0.001717319,0.17984736,0.035482977,0.024013098],"study_design_scores_gemma":[0.007821588,0.00075308594,0.69785696,0.00014972936,0.0003741396,0.0025437947,0.0021472604,0.008007408,0.0059741577,0.031086106,0.24240254,0.00088324153],"about_ca_topic_score_codex":0.0008276889,"about_ca_topic_score_gemma":0.00003241003,"teacher_disagreement_score":0.20691957,"about_ca_system_score_codex":0.00007817544,"about_ca_system_score_gemma":0.000031063057,"threshold_uncertainty_score":0.9997537},"labels":[],"label_agreement":null},{"id":"W94216234","doi":"10.1007/978-3-642-55345-5_17","title":"Review of Designs for Accommodating Patients’ or Physicians’ Preferences in Randomized Controlled Trials","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Randomized controlled trial; Psychological intervention; Preference; Treatment and control groups; Completely randomized design; Research design; Treatment effect; Intervention (counseling); Selection (genetic algorithm); Medicine; Medical physics; Psychology; Physical therapy; Computer science; Nursing; Statistics; Surgery; Mathematics; Artificial intelligence","score_opus":0.2862377491775941,"score_gpt":0.2876588466105573,"score_spread":0.0014210974329632031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W94216234","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009642102,0.045156244,0.019952657,0.00025369477,0.0006608893,0.017548023,0.0006525096,0.000026134812,0.9147856],"genre_scores_gemma":[0.091308326,0.2762438,0.01087553,0.0046956944,0.00070931204,0.00524242,0.0022691605,0.00029666728,0.6083591],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99500376,0.00012776795,0.004278306,0.00039354377,0.000038718495,0.00015790039],"domain_scores_gemma":[0.99117404,0.0035407576,0.0049671307,0.00026137396,0.000030375571,0.000026326004],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010004058,0.00030487851,0.008368153,0.00020612877,0.000028050134,0.000018550163,0.00019831855,0.00019685227,0.003623695],"category_scores_gemma":[0.002979423,0.00023109792,0.0012758459,0.000017240087,0.00006958598,0.00009138855,0.000036919726,0.00010321723,0.00011334536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.029914377,0.00017529618,0.0013514018,0.00655663,0.0016852609,1.3041542e-7,0.00015875041,0.000059750593,0.0000011476563,0.92372346,0.007401445,0.028972331],"study_design_scores_gemma":[0.6360748,0.00046843398,0.00035112666,0.016573554,0.0008902323,2.2783061e-7,0.00002504723,0.002653217,0.000020704787,0.30789605,0.033754356,0.001292275],"about_ca_topic_score_codex":0.000032914475,"about_ca_topic_score_gemma":0.000019468804,"teacher_disagreement_score":0.61582744,"about_ca_system_score_codex":0.000099809404,"about_ca_system_score_gemma":0.000021054178,"threshold_uncertainty_score":0.99728715},"labels":[],"label_agreement":null},{"id":"W97594309","doi":"10.5751/es-00692-090504","title":"Defining Conservation Priorities Using Fragmentation Forecasts","year":2004,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Metropolitan area; Distribution (mathematics); Habitat; Population; Marsh; Population growth; Habitat destruction; Ecology; Environmental resource management; Environmental science; Wetland","score_opus":0.07383942124607826,"score_gpt":0.2318022625680714,"score_spread":0.15796284132199315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W97594309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99466515,0.00036926026,0.003105005,0.00036785725,0.00018433743,0.00008265694,0.000011130513,0.000012918442,0.0012017133],"genre_scores_gemma":[0.99114215,0.00021505001,0.0075343256,0.0009651914,0.000028780427,0.000008373286,0.000020836322,0.000006346693,0.000078971214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995177,0.00000532243,0.00020286108,0.0001562588,0.000008759037,0.00010912184],"domain_scores_gemma":[0.99978495,0.000023741117,0.000117801304,0.000048760772,0.0000036410247,0.000021087028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023684086,0.000058107704,0.00011652447,0.00001867348,0.00018523361,0.000016877939,0.000024859457,0.000094647534,0.00009451138],"category_scores_gemma":[0.000011804934,0.000076301294,0.000042968884,0.000027934253,0.00007689707,0.00020778766,0.00001986108,0.000057302204,0.000070736016],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014927126,0.00001502616,0.8199834,0.00000846848,0.000023599507,1.9129186e-7,0.0017504568,0.0010777172,0.000025895997,0.17691047,0.00007436134,0.00012888093],"study_design_scores_gemma":[0.00068938977,0.000039275805,0.9288893,0.0000040960267,0.0000056846175,0.000004440701,0.0007341046,0.004050785,0.00006231158,0.065110914,0.00030556342,0.000104160004],"about_ca_topic_score_codex":0.00008245202,"about_ca_topic_score_gemma":0.00003485671,"teacher_disagreement_score":0.11179956,"about_ca_system_score_codex":0.00016402118,"about_ca_system_score_gemma":0.0000123538175,"threshold_uncertainty_score":0.31114766},"labels":[],"label_agreement":null},{"id":"W97916114","doi":"","title":"The Tropical Rainforest Market Failure: An Argument for the Pursuance of Compensation for Conservation Policy","year":2007,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rainforest; Argument (complex analysis); Natural resource economics; Tropical rainforest; Compensation (psychology); Market failure; Economics; Agroforestry; Ecology; Environmental science; Microeconomics; Biology","score_opus":0.060878855919920594,"score_gpt":0.23007682139966973,"score_spread":0.16919796547974914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W97916114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7655929,0.000100601115,0.23054256,0.002379501,0.00011110908,0.0005174456,0.0001098202,0.0000070979954,0.00063899095],"genre_scores_gemma":[0.99657285,0.00007522123,0.002300065,0.00011827568,0.00007884623,0.0000033622591,0.000050865194,0.000008408455,0.000792109],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99930215,0.000013127147,0.00029400937,0.00016893973,0.000042219668,0.00017955145],"domain_scores_gemma":[0.99881434,0.00042058542,0.00045740907,0.00023184602,0.0000362321,0.000039594604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010010172,0.00008192264,0.00017545256,0.00007555035,0.000430399,0.000027317985,0.00024507023,0.00006780975,0.00006684745],"category_scores_gemma":[0.00009083302,0.000082099505,0.00012694622,0.0000866737,0.00027913158,0.0002764244,0.00002727403,0.00004749959,0.000009467025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013815328,0.000032552514,0.09025633,0.000017189039,0.000049752765,3.4612903e-8,0.0005817659,0.00018749072,0.0000033646052,0.9076442,0.0008787702,0.00021037181],"study_design_scores_gemma":[0.00068283704,0.000091037946,0.36056083,0.0000023033022,0.000012216283,3.6389363e-7,0.0016767508,0.006505009,0.0000018528557,0.62273926,0.007664871,0.0000626267],"about_ca_topic_score_codex":0.00035166324,"about_ca_topic_score_gemma":0.0019179005,"teacher_disagreement_score":0.28490493,"about_ca_system_score_codex":0.00019536419,"about_ca_system_score_gemma":0.000022185557,"threshold_uncertainty_score":0.33479208},"labels":[],"label_agreement":null},{"id":"W979407701","doi":"10.1017/cbo9780511754180.027","title":"Preference Revelation","year":2003,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Revelation; Public good; Free riding; Preference; Government (linguistics); Business; Microeconomics; Economics; Law and economics; Public economics; Philosophy","score_opus":0.1345355487657362,"score_gpt":0.17392969036044148,"score_spread":0.03939414159470528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W979407701","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066576607,0.0003351962,0.0014732273,0.000019191328,0.00024909482,0.000279647,0.00038030677,0.000038587226,0.99655896],"genre_scores_gemma":[0.0060675796,0.00035349824,0.00020502415,0.00010881369,0.000050016843,9.244679e-7,0.0001063212,0.000035992176,0.99307185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989899,0.000009294741,0.00030285094,0.00049511733,0.00003318516,0.00016967427],"domain_scores_gemma":[0.99906856,0.000018278473,0.00043565672,0.00038076268,0.0000137980205,0.00008294125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015024508,0.0002295021,0.00034597685,0.00013699834,0.00010925174,0.000026733536,0.00021451116,0.0003099528,0.00011859132],"category_scores_gemma":[0.000006821907,0.00034730555,0.00014212365,0.000004102748,0.0000929384,0.00013556227,0.00009465264,0.00023595516,0.0005503567],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075249563,0.000005210549,0.00022820398,0.000019863235,0.000053015712,0.0000050869207,0.000018280307,0.000010992122,0.000001632597,0.9813549,0.018083446,0.00021183786],"study_design_scores_gemma":[0.0003612675,0.00002602618,0.0010945385,0.0000323285,0.000031329873,0.0000029169746,0.0000065995555,0.00008799216,0.000023556768,0.00073717785,0.9972075,0.00038875052],"about_ca_topic_score_codex":0.00005674101,"about_ca_topic_score_gemma":9.0596694e-7,"teacher_disagreement_score":0.9806177,"about_ca_system_score_codex":0.00042262333,"about_ca_system_score_gemma":0.000013622548,"threshold_uncertainty_score":0.9998979},"labels":[],"label_agreement":null}]}