{"meta":{"query_hash":"76ee6ce4e029","filters":{"venue":"IIASA PURE (International Institute of Applied Systems Analysis)"},"cohort_total":44,"direct_labels_cover":0,"predictions_cover":44,"exported":44,"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/76ee6ce4e029","api":"https://metacan.xera.ac/api/v1/cohort?venue=IIASA+PURE+%28International+Institute+of+Applied+Systems+Analysis%29"},"results":[{"id":"W127325166","doi":"","title":"Towards a service-oriented e-infrastructure for multidisciplinary environmental research","year":2010,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","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":"Natural Sciences and Engineering Research Council of Canada; National Technical University of Athens; Canada Research Chairs; FP7 Information and Communication Technologies; Ontario Innovation Trust; Deltares; University of Architecture, Civil Engineering and Geodesy","keywords":"Computer science; Orchestration; Workflow; World Wide Web; Web service; Interoperability; Service (business); e-Science; Grid computing; Thematic map; Data science; Knowledge management; Grid; Database; Business","score_opus":0.021295564489978405,"score_gpt":0.30352768615707415,"score_spread":0.28223212166709577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W127325166","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014401976,0.0008691559,0.9542549,0.0104976185,0.0002782181,0.0004915431,0.00014928798,0.0030694648,0.015987827],"genre_scores_gemma":[0.075733155,0.0010345342,0.9154516,0.0010654628,0.00013144186,0.00031943573,0.0005354789,0.00018827585,0.0055405814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99691904,0.0011235646,0.00033149694,0.00029980743,0.0009420405,0.0003841341],"domain_scores_gemma":[0.9949181,0.0010621843,0.00035494112,0.0011012586,0.0013632528,0.0012003285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009924206,0.0005455137,0.00052475766,0.0019883004,0.0017164636,0.0066040996,0.0035255202,0.00473003,0.0035455294],"category_scores_gemma":[0.005623966,0.00060350745,0.0010381488,0.0030184602,0.0024571188,0.010811771,0.006432471,0.0030459592,0.0030650774],"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":[0.00018954641,0.0005140431,0.0032056244,0.00075464667,0.00006951756,0.001005561,0.0015282534,0.017414087,0.018243155,0.76553756,0.018365549,0.17317241],"study_design_scores_gemma":[0.00015836144,0.00031823714,0.0020690223,0.0006312819,0.00008798872,0.0010855935,0.0019016925,0.17066312,0.011100403,0.37761217,0.43424448,0.00012769106],"about_ca_topic_score_codex":0.003015398,"about_ca_topic_score_gemma":0.002422743,"teacher_disagreement_score":0.009924206,"about_ca_system_score_codex":0.0022419067,"about_ca_system_score_gemma":0.007905874,"threshold_uncertainty_score":0.05248481},"labels":[],"label_agreement":null},{"id":"W1532871623","doi":"","title":"Towards Developing a Comprehensive Carbon Accounting Framework for Forests in British Columbia","year":2000,"lang":"en","type":"preprint","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"U.S. Forest Service; International Institute for Applied Systems Analysis","keywords":"Kyoto Protocol; Carbon accounting; Carbon sink; Work (physics); Accounting; Forestry; Carbon credit; Carbon fibers; Environmental resource management; Greenhouse gas; Business; Environmental science; Geography; Climate change; Engineering; Computer science; Ecology","score_opus":0.016137587397389765,"score_gpt":0.2685852204017884,"score_spread":0.25244763300439865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532871623","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15122624,0.0063402876,0.67629194,0.02107236,0.00045650723,0.0022254996,0.0070274714,0.002740517,0.13261919],"genre_scores_gemma":[0.41706684,0.0027475883,0.5633024,0.0005489462,0.00007672558,0.00050381076,0.0032246965,0.00025126705,0.012277708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99625814,0.0009247909,0.00046891248,0.0003730157,0.0014321693,0.00054304046],"domain_scores_gemma":[0.9930676,0.0006108996,0.00044692788,0.00045347138,0.004959779,0.0004613018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008296654,0.0011879135,0.00078715046,0.0077681667,0.0047615045,0.015379754,0.002386015,0.0014604847,0.0013348236],"category_scores_gemma":[0.009640601,0.0007420473,0.0006001933,0.008346005,0.0023797567,0.004783896,0.0024247076,0.0025558856,0.000307592],"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":[0.000038818795,0.000099266326,0.010864505,0.00022083832,0.00009181414,0.0005723398,0.0020361652,0.14752148,0.0023249546,0.6797505,0.02514485,0.13133445],"study_design_scores_gemma":[0.00004334816,0.00004732675,0.025909882,0.0012143132,0.00016934192,0.00035298563,0.005965849,0.42930344,0.0041754083,0.24586046,0.2865916,0.00036600957],"about_ca_topic_score_codex":0.92915845,"about_ca_topic_score_gemma":0.93811274,"teacher_disagreement_score":0.07084155,"about_ca_system_score_codex":0.053195555,"about_ca_system_score_gemma":0.1016069,"threshold_uncertainty_score":0.38596255},"labels":[],"label_agreement":null},{"id":"W2301306290","doi":"","title":"Geopolitica del medio ambiente: Cambio climatico y recursos hidricos. Aproximacion al caso de Canada","year":2015,"lang":"es","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Geography and Environmental Studies in Latin America","field":"Social Sciences","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; Water resources; Sustainability; Natural resource economics; Geography; Welfare economics; Business; Economics; Ecology","score_opus":0.01566342429973758,"score_gpt":0.271705538440176,"score_spread":0.25604211414043837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301306290","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31796548,0.23152384,0.0024634528,0.09592965,0.0015585202,0.00013307238,0.0053056106,0.00018673897,0.3449337],"genre_scores_gemma":[0.8923005,0.07182842,0.001850444,0.0015954161,0.00035248004,0.000033017535,0.0010287943,0.00005021243,0.030960781],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992136,0.00010512842,0.000017742434,0.000085044296,0.00024118173,0.00033732975],"domain_scores_gemma":[0.99910575,0.00013154479,0.00010619005,0.00003559059,0.00043316098,0.00018766918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069531,0.0004211208,0.00029608497,0.0021062794,0.003776251,0.004299529,0.00082763424,0.0008567587,0.0048018093],"category_scores_gemma":[0.0019876985,0.00017230026,0.00036597115,0.008701001,0.0030971577,0.0012450484,0.0016520056,0.0016799842,0.00026320896],"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":[0.00024446985,0.0001679366,0.1868963,0.0012050086,0.0001215696,0.0034685226,0.024589226,0.0027725056,0.001235291,0.4412456,0.104290046,0.23376358],"study_design_scores_gemma":[0.000016280874,0.000023873095,0.2147505,0.0009194292,0.00007767949,0.00069197017,0.0350338,0.0017924522,0.00036086113,0.009331229,0.73692703,0.00007485046],"about_ca_topic_score_codex":0.99049133,"about_ca_topic_score_gemma":0.9929824,"teacher_disagreement_score":0.046085484,"about_ca_system_score_codex":0.046085484,"about_ca_system_score_gemma":0.06163868,"threshold_uncertainty_score":0.33437514},"labels":[],"label_agreement":null},{"id":"W2335955519","doi":"","title":"Estimating global-local dynamics of land use systems by downscaling from GLOBIOM model","year":2014,"lang":"en","type":"book-chapter","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Land Use and Ecosystem Services","field":"Environmental Science","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":"Downscaling; Land cover; Probabilistic logic; Computer science; Greenhouse gas; Land use; Scale (ratio); Climate change; Environmental science; Meteorology; Geography; Precipitation; Cartography; Artificial intelligence","score_opus":0.010748896837218372,"score_gpt":0.21379401812873758,"score_spread":0.2030451212915192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335955519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25028342,0.00013433436,0.745182,0.00020598435,0.000021559908,0.00003457567,0.000612886,0.00066416507,0.0028610846],"genre_scores_gemma":[0.8845998,0.000108215674,0.11363783,0.000037776408,0.000018039353,0.00007095056,0.00080192834,0.00011093154,0.0006145022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998895,0.000026997204,0.0000064739183,0.00003949515,0.000024846287,0.000012828679],"domain_scores_gemma":[0.9998543,0.0000475511,0.000030975687,0.00003201827,0.000027031625,0.00000798955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036308402,0.00034430574,0.00028961914,0.00045054682,0.00017447644,0.0004112788,0.00041904746,0.00033055554,0.00064093515],"category_scores_gemma":[0.0010458117,0.00023410434,0.00064271555,0.0005001964,0.00025900238,0.00047932923,0.0004978015,0.00040474185,0.00014479418],"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":[0.000011437014,0.000008858513,0.003935203,0.00001649294,0.000036543166,0.000031197134,0.00003078846,0.9774099,0.001873953,0.0015962532,0.00024339967,0.014805906],"study_design_scores_gemma":[0.000001653085,0.000003131241,0.0014937036,0.0000022465645,0.0000050538106,0.0000053566696,0.0000067882497,0.9968054,0.0004180802,0.0010219183,0.00023306323,0.0000035454216],"about_ca_topic_score_codex":0.012731282,"about_ca_topic_score_gemma":0.010550255,"teacher_disagreement_score":0.012731282,"about_ca_system_score_codex":0.00040156217,"about_ca_system_score_gemma":0.0005345853,"threshold_uncertainty_score":0.025314331},"labels":[],"label_agreement":null},{"id":"W2340219542","doi":"","title":"Global emissions of fluorinated greenhouse gases until 2050: technical mitigation potentials and costs","year":2016,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Climate Change Policy and Economics","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":"Greenhouse gas; Environmental science; Global-warming potential; Montreal Protocol; Carbon dioxide equivalent; Global warming; Global temperature; Carbon dioxide; Greenhouse gas removal; Kyoto Protocol; Environmental engineering; Climate change mitigation; Environmental protection; Climate change; Natural resource economics; Meteorology; Ozone layer; Chemistry; Ozone; Ecology; Economics; Geography","score_opus":0.03294435818420409,"score_gpt":0.25663221170046746,"score_spread":0.22368785351626336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340219542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84965575,0.009124815,0.05576843,0.0021618374,0.00011338311,0.00021441365,0.018862762,0.0004100958,0.06368857],"genre_scores_gemma":[0.97730166,0.00395299,0.009980889,0.0001367192,0.000017656277,0.00008758577,0.004267837,0.00003927166,0.0042153606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959844,0.000057122277,0.000012749071,0.00004713867,0.0001713501,0.00011323821],"domain_scores_gemma":[0.9997874,0.00005361641,0.00004473321,0.000021048572,0.0000793339,0.00001392334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007223179,0.00087386003,0.00029531616,0.0013955774,0.00030933443,0.001398075,0.00058579445,0.00060003775,0.0024111657],"category_scores_gemma":[0.00086707703,0.00027243057,0.0017008609,0.0018486213,0.000391973,0.0019136873,0.0005949402,0.00042734397,0.00038332248],"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":[0.00029088673,0.00006457722,0.08119009,0.0005519221,0.0005346349,0.0005878442,0.00015161133,0.7539354,0.0047608092,0.03253667,0.0042247092,0.12117085],"study_design_scores_gemma":[0.000089346235,0.0008088664,0.39959377,0.000641602,0.0014301855,0.0011282533,0.0017681306,0.3683727,0.026075605,0.048796006,0.15094075,0.0003548328],"about_ca_topic_score_codex":0.0789188,"about_ca_topic_score_gemma":0.098001026,"teacher_disagreement_score":0.0789188,"about_ca_system_score_codex":0.004237014,"about_ca_system_score_gemma":0.0026634422,"threshold_uncertainty_score":0.15691888},"labels":[],"label_agreement":null},{"id":"W2341240676","doi":"","title":"The Mandatory Forest Certification Scheme as a Tool for Sustainable Forest Management in Russia","year":2001,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Forest Management and Policy","field":"Environmental Science","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":"Certified wood; Certification; Sustainable forest management; Forest management; Business; Certificate; Forestry; Audit; Environmental resource management; Accounting; Stewardship (theology); Political science; Geography; Computer science; Law; Economics","score_opus":0.011134083148018602,"score_gpt":0.25131524522246595,"score_spread":0.24018116207444734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341240676","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3064984,0.0025392745,0.11783353,0.01334255,0.0012839927,0.0011035481,0.0015142282,0.0022092126,0.55367523],"genre_scores_gemma":[0.90092516,0.0007294163,0.042441122,0.0008188474,0.00011120759,0.0003136624,0.000862835,0.0001473146,0.053650454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949503,0.0020555446,0.00047333358,0.00037049607,0.0016403133,0.00050998194],"domain_scores_gemma":[0.9964154,0.0007952942,0.0005082124,0.0007275487,0.0012450803,0.00030842004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066108666,0.00016523646,0.00017022846,0.0016701936,0.0015869085,0.00280613,0.0008277549,0.0011011154,0.0028455984],"category_scores_gemma":[0.008537071,0.0003114093,0.00035435017,0.001061309,0.0013896544,0.0017825492,0.0020147103,0.0012785475,0.0008789288],"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":[0.00008758189,0.00011448853,0.013611327,0.00026181157,0.0000129677765,0.00029951558,0.0031125871,0.0039412826,0.0047565047,0.7976903,0.02756265,0.148549],"study_design_scores_gemma":[0.00006606431,0.00031145252,0.09126972,0.0005611901,0.000050611354,0.0007489478,0.0020124149,0.016291387,0.0076435045,0.05290264,0.82797354,0.00016861991],"about_ca_topic_score_codex":0.023357606,"about_ca_topic_score_gemma":0.01752322,"teacher_disagreement_score":0.023357606,"about_ca_system_score_codex":0.004008075,"about_ca_system_score_gemma":0.015685212,"threshold_uncertainty_score":0.046443284},"labels":[],"label_agreement":null},{"id":"W2347069309","doi":"","title":"World Energy Outlook 2007: China and India Insights","year":2007,"lang":"en","type":"book","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":188,"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":"China; Electrification; Electricity; Business; Economic growth; Energy supply; Development economics; Natural resource economics; Economics; Geography; Energy (signal processing); Engineering","score_opus":0.009560244291483373,"score_gpt":0.24755859516491624,"score_spread":0.23799835087343288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347069309","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013131413,0.07612886,0.0015174925,0.26769343,0.01717951,0.00030946734,0.09028051,0.0010244002,0.532735],"genre_scores_gemma":[0.18602206,0.19390583,0.006474568,0.078289874,0.0076504387,0.0009320333,0.13399844,0.00078476843,0.39194202],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985983,0.00016776386,0.000065739456,0.00007631607,0.00066774164,0.0004242332],"domain_scores_gemma":[0.9981248,0.00014215897,0.000095850475,0.00009027663,0.0011383119,0.00040855954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024002404,0.0016203598,0.00054808153,0.0031888704,0.0019201274,0.0062098494,0.0015569311,0.0021365404,0.022067856],"category_scores_gemma":[0.0032402142,0.00037349694,0.0007950478,0.008863083,0.0007119081,0.0045326706,0.0029264677,0.0038284825,0.0064901114],"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":[0.00003124225,0.00003439251,0.0032483316,0.00028040045,0.000020396774,0.00015875674,0.0002807162,0.00041561472,0.00007396038,0.017424045,0.9287804,0.049251914],"study_design_scores_gemma":[0.000008670862,0.00001857564,0.014908315,0.00049322046,0.000025023613,0.00009710836,0.0009748197,0.00034877693,0.00017393271,0.004229754,0.97868335,0.000038452967],"about_ca_topic_score_codex":0.191497,"about_ca_topic_score_gemma":0.19796802,"teacher_disagreement_score":0.191497,"about_ca_system_score_codex":0.009417126,"about_ca_system_score_gemma":0.02971208,"threshold_uncertainty_score":0.38076472},"labels":[],"label_agreement":null},{"id":"W2358291137","doi":"","title":"New times, old beliefs: Investigating the future of religions in Austria, Canada, and Switzerland","year":2007,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Religion, Spirituality, and Psychology","field":"Social Sciences","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":"Fertility; Order (exchange); Population; Total fertility rate; Demography; Geography; Sociology; Economics; Research methodology; Family planning","score_opus":0.01793800159575488,"score_gpt":0.2956647680410616,"score_spread":0.27772676644530675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358291137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982323,0.00021365819,0.000046495832,0.00020203265,0.0000026573534,0.0000082496435,0.00031337835,0.0000011460985,0.0009801592],"genre_scores_gemma":[0.99856704,0.00023697049,0.0001130447,0.000031704272,0.0000019626068,0.000007852584,0.00044306024,0.0000017319381,0.0005966543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995889,0.00009339752,0.000012730227,0.00004605654,0.00007828514,0.00018060503],"domain_scores_gemma":[0.99830985,0.00019976469,0.0002970969,0.000052405623,0.00065517495,0.00048574703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091280986,0.00016119237,0.00018629273,0.0015306998,0.0020526277,0.0018103187,0.0005255057,0.0003994714,0.0013084101],"category_scores_gemma":[0.0027147066,0.00011946966,0.00029690444,0.0021934719,0.0007177472,0.00078977,0.001344838,0.00071085634,0.000099583674],"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":[0.000065117056,0.000036547255,0.98378617,0.000011207625,0.00003076607,0.0001363449,0.0072883293,0.00036583436,0.00016024547,0.0007215156,0.000546596,0.006851288],"study_design_scores_gemma":[0.0000033960262,0.000016936643,0.98310745,0.000023254395,0.000012279791,0.000041994175,0.014522132,0.000891674,0.000054324242,0.00009174462,0.0012244523,0.0000103207685],"about_ca_topic_score_codex":0.97998065,"about_ca_topic_score_gemma":0.9909265,"teacher_disagreement_score":0.020019352,"about_ca_system_score_codex":0.013548569,"about_ca_system_score_gemma":0.009095939,"threshold_uncertainty_score":0.098302186},"labels":[],"label_agreement":null},{"id":"W2370766608","doi":"","title":"A model for robust emission trading under uncertainties","year":2010,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Climate Change Policy and Economics","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":"Emissions trading; Greenhouse gas; Context (archaeology); Clean Development Mechanism; Marginal abatement cost; Commodity; Economics; Spot contract; Marginal cost; Business; Natural resource economics; International economics; Environmental economics; Industrial organization; Microeconomics; Financial economics; Market economy; Futures contract","score_opus":0.12045887370159745,"score_gpt":0.2748309358109834,"score_spread":0.15437206210938592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2370766608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0830692,0.0022188358,0.7149313,0.010385188,0.0006339375,0.00026955732,0.004768499,0.0009873495,0.18273614],"genre_scores_gemma":[0.8757964,0.0011184162,0.025318272,0.00059642893,0.00025983356,0.00045203377,0.0009480354,0.0002228425,0.09528776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991146,0.0002476244,0.000054726435,0.00023844714,0.00015692887,0.00018775158],"domain_scores_gemma":[0.9976629,0.0013629614,0.00036860633,0.000119746124,0.0003299795,0.00015584141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014874622,0.0011479679,0.0016162443,0.0008969145,0.0009971472,0.0039543123,0.0030073011,0.005817811,0.02061433],"category_scores_gemma":[0.0055991197,0.00078938325,0.001840482,0.0010896537,0.0019921446,0.0031100418,0.002740315,0.0031821628,0.0022276053],"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":[0.000088673,0.000042691034,0.00049091084,0.000085772954,0.000049971597,0.00041790144,0.00011891825,0.7531742,0.0007184977,0.23815234,0.0028752447,0.0037848393],"study_design_scores_gemma":[0.000048658,0.000028004657,0.00016186436,0.000016883952,0.00001823433,0.00006864607,0.00003000301,0.93181485,0.00008470638,0.0646819,0.0030224372,0.000023935658],"about_ca_topic_score_codex":0.01632169,"about_ca_topic_score_gemma":0.005912577,"teacher_disagreement_score":0.02061433,"about_ca_system_score_codex":0.0025566819,"about_ca_system_score_gemma":0.0018977915,"threshold_uncertainty_score":0.0689618},"labels":[],"label_agreement":null},{"id":"W2527706370","doi":"","title":"Evaluating the Russian Forest Sector: Market Orientation and Its Characteristics","year":2001,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Russia and Soviet political economy","field":"Social Sciences","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":"Natural Sciences and Engineering Research Council of Canada; International Institute for Applied Systems Analysis; University of Ottawa","keywords":"Market orientation; Linear discriminant analysis; Orientation (vector space); Set (abstract data type); Order (exchange); Identification (biology); Barter; Market analysis; Business; Cash; Rough set; Industrial organization; Computer science; Marketing; Artificial intelligence; Economics; Mathematics; Finance","score_opus":0.047327723981815076,"score_gpt":0.34492167146723424,"score_spread":0.2975939474854192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527706370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99506134,0.00012908253,0.000456701,0.000039640745,0.000003077308,0.000022232225,0.0012499337,0.000013737272,0.0030242428],"genre_scores_gemma":[0.996318,0.00010569358,0.0006402801,0.0000057794277,0.000006038079,0.0000130569615,0.0025031774,0.0000032062094,0.0004047694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990964,0.00020922461,0.00009693588,0.00008797423,0.00039265436,0.000116854535],"domain_scores_gemma":[0.997614,0.0009803986,0.0006199056,0.00010130795,0.0005322391,0.00015212926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013159203,0.00023803959,0.00022978456,0.0040078163,0.00021133413,0.0011994342,0.0001875909,0.00027583688,0.0016153506],"category_scores_gemma":[0.0027645244,0.000058065187,0.00030727428,0.003366395,0.00025671208,0.0006379386,0.0005044035,0.00015763425,0.00043256223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019434626,0.00017514089,0.94784594,0.000112581365,0.00006191772,0.0003244671,0.00049995596,0.004135082,0.0026903127,0.000947224,0.0010494213,0.041963484],"study_design_scores_gemma":[0.000007760695,0.0001263607,0.9751456,0.000025474796,0.000025141488,0.00018414625,0.002480245,0.015720597,0.0018875854,0.0003735575,0.0040100273,0.000013455703],"about_ca_topic_score_codex":0.0052537126,"about_ca_topic_score_gemma":0.004647077,"teacher_disagreement_score":0.0052537126,"about_ca_system_score_codex":0.00070303725,"about_ca_system_score_gemma":0.0003853618,"threshold_uncertainty_score":0.01044625},"labels":[],"label_agreement":null},{"id":"W2610730914","doi":"","title":"The Arctic Council in Perspective: Moving Forward","year":2016,"lang":"en","type":"book-chapter","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","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":"Perspective (graphical); Arctic; Geography; Political science; Oceanography; Computer science; Geology; Artificial intelligence","score_opus":0.03601521775938417,"score_gpt":0.29386518929537964,"score_spread":0.2578499715359955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610730914","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015944889,0.015039787,0.001138137,0.8624344,0.04338201,0.00003267776,0.00013873441,0.000100225945,0.0761395],"genre_scores_gemma":[0.08735684,0.054410774,0.0139109595,0.59866315,0.02842657,0.00025991313,0.0012176599,0.00061614317,0.21513806],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9781326,0.010070973,0.0010208443,0.001662971,0.0049899216,0.0041227653],"domain_scores_gemma":[0.95847625,0.008401762,0.0011245797,0.0015287647,0.011589523,0.01887914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031464122,0.0013354244,0.0009496432,0.0023387647,0.013017329,0.02537473,0.0036868474,0.028050637,0.029537162],"category_scores_gemma":[0.036896728,0.00067939213,0.0011178076,0.004099976,0.008166767,0.02191534,0.014196557,0.026092362,0.010304268],"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":[0.000034467168,0.00007026583,0.00047502245,0.00023955345,0.000013257139,0.0008178406,0.0033276724,0.0002774002,0.00015544248,0.2233263,0.7349527,0.036310107],"study_design_scores_gemma":[0.000007115836,0.000011419074,0.00029519157,0.00034267665,0.0000030297526,0.00006938947,0.0033515862,0.000049792252,0.000035998648,0.007694872,0.9881252,0.000013648113],"about_ca_topic_score_codex":0.09310395,"about_ca_topic_score_gemma":0.14327027,"teacher_disagreement_score":0.09310395,"about_ca_system_score_codex":0.019636296,"about_ca_system_score_gemma":0.083285704,"threshold_uncertainty_score":0.18512404},"labels":[],"label_agreement":null},{"id":"W2748344119","doi":"","title":"Decision-making for UBC High Performance Buildings: Multi-criteria Analysis for Integrated Life Cycle Models","year":2010,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","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":"Decision support system; Sustainability; ASHRAE 90.1; Benchmark (surveying); Decision analysis; Computer science; Management science; Life-cycle assessment; Building information modeling; Process management; Systems engineering; Engineering; Data mining; Operations management","score_opus":0.0234007494667518,"score_gpt":0.27350588796209424,"score_spread":0.25010513849534244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748344119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014636456,0.0006585026,0.96728855,0.00094287423,0.00006245008,0.0004477139,0.00044985168,0.0002424961,0.015271103],"genre_scores_gemma":[0.41467494,0.0013394173,0.56799406,0.00031589202,0.00012452915,0.003162065,0.0010268468,0.00024109683,0.011121159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941345,0.0039773583,0.00017668745,0.0003614103,0.0010377701,0.00031223483],"domain_scores_gemma":[0.9938976,0.0047089774,0.00034894937,0.0001467527,0.0007189072,0.00017878265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007485886,0.0017692012,0.001953774,0.0020205094,0.0015775536,0.0054260506,0.002533183,0.002902193,0.006184403],"category_scores_gemma":[0.011810923,0.0012475371,0.0028186147,0.0022814048,0.0012129755,0.0022331572,0.0027566142,0.0033767056,0.00075329933],"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":[0.00001654317,0.00004510498,0.00024944908,0.00006476153,0.000030100715,0.000037395694,0.000072555486,0.97103137,0.00012048452,0.02279144,0.000568738,0.0049720607],"study_design_scores_gemma":[0.000005263376,0.000012595563,0.00005075208,0.000021159098,0.000005847914,0.0000037532625,0.00003337812,0.98871887,0.00006579167,0.010134801,0.00093912816,0.000008612337],"about_ca_topic_score_codex":0.031167183,"about_ca_topic_score_gemma":0.025436308,"teacher_disagreement_score":0.031167183,"about_ca_system_score_codex":0.0058525903,"about_ca_system_score_gemma":0.0053974614,"threshold_uncertainty_score":0.061971545},"labels":[],"label_agreement":null},{"id":"W2900466527","doi":"","title":"Industrial Development of Kyrgyzstan: Investment and Financing","year":2018,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Russia and Soviet political economy","field":"Social Sciences","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":"International Institute for Applied Systems Analysis; Strong","keywords":"Investment (military); Finance; Business; Economics; Political science; Politics","score_opus":0.04215451566149635,"score_gpt":0.2930179937919223,"score_spread":0.2508634781304259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900466527","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44721615,0.03674735,0.0038771895,0.03911901,0.00044015332,0.00056202424,0.005988632,0.00032634853,0.46572313],"genre_scores_gemma":[0.8607048,0.014292777,0.002836245,0.0005472811,0.00009225413,0.000134506,0.001978827,0.000027556878,0.11938566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996389,0.000048762286,0.000018216531,0.000025546722,0.00007665577,0.00019186958],"domain_scores_gemma":[0.999777,0.000020114001,0.00004671537,0.000022415497,0.00006133836,0.00007235011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006225517,0.00042765634,0.00012554505,0.0006936963,0.0009349461,0.002558784,0.00048115914,0.00093306,0.011010647],"category_scores_gemma":[0.00069937785,0.00019878887,0.00016789575,0.0010171221,0.0004673568,0.0011237074,0.0018193021,0.0009412353,0.0013983599],"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":[0.00035904415,0.00029230127,0.057035357,0.0008658932,0.000086482076,0.0014538718,0.0016330387,0.004549571,0.0063059903,0.53754574,0.050536834,0.33933595],"study_design_scores_gemma":[0.000055109722,0.00013660459,0.09878333,0.00043490544,0.00005014372,0.00044881058,0.0014263524,0.0027464442,0.0034088755,0.01874223,0.8737461,0.000021137635],"about_ca_topic_score_codex":0.035705958,"about_ca_topic_score_gemma":0.044603124,"teacher_disagreement_score":0.035705958,"about_ca_system_score_codex":0.007248441,"about_ca_system_score_gemma":0.018696127,"threshold_uncertainty_score":0.070996225},"labels":[],"label_agreement":null},{"id":"W2943555463","doi":"","title":"Gender in the transition to sustainable energy for all: From evidence to inclusive policies","year":2019,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":37,"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":"FP7 International Cooperation; Deutsche Gesellschaft für Internationale Zusammenarbeit; Department for International Development; University of Cape Town; University of Twente; Government of the United Kingdom; Multiple Sclerosis Scientific Research Foundation","keywords":"Transition (genetics); Energy transition; Business; Political science; Economic growth; Economics; Medicine","score_opus":0.016755867664886414,"score_gpt":0.26226622753526735,"score_spread":0.24551035987038095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943555463","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018409759,0.8771154,0.0024199933,0.07442942,0.003929631,0.0003489727,0.000635339,0.000030210158,0.022681316],"genre_scores_gemma":[0.3278099,0.6269688,0.005038018,0.034929328,0.0023293057,0.00079173245,0.0005298627,0.00009095515,0.0015120857],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9306073,0.041598808,0.009755926,0.005068403,0.009882865,0.0030867301],"domain_scores_gemma":[0.66647273,0.28105167,0.02295157,0.008684264,0.017482886,0.0033568756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.10748902,0.0012108617,0.0035303764,0.009824019,0.002219943,0.013411078,0.0036132946,0.005098215,0.012718696],"category_scores_gemma":[0.22673261,0.0012846268,0.0036567927,0.008966968,0.011868115,0.019420637,0.012981673,0.008013745,0.0012144628],"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":[0.0016252042,0.0005178735,0.021865085,0.14047639,0.004810825,0.00031990116,0.01751381,0.00081860565,0.00018674498,0.11722776,0.020666786,0.673971],"study_design_scores_gemma":[0.00036026366,0.0008225828,0.023177594,0.6202355,0.006431309,0.00025266584,0.025285428,0.00046235902,0.0007474717,0.10706164,0.21500312,0.00016006328],"about_ca_topic_score_codex":0.017046075,"about_ca_topic_score_gemma":0.024837298,"teacher_disagreement_score":0.10748902,"about_ca_system_score_codex":0.012918381,"about_ca_system_score_gemma":0.02713165,"threshold_uncertainty_score":0.5684631},"labels":[],"label_agreement":null},{"id":"W2991446304","doi":"10.22022/afi/11-2019.16175","title":"Artcic Policies and Strategies-Analysis, Synthesis, and Trends","year":2019,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":64,"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":"Natural Environment Research Council; Direktoratet for Utviklingssamarbeid; Ministero degli Affari Esteri e della Cooperazione Internazionale; Foreign Affairs and International Trade Canada; National Fisheries Research and Development Institute; British Antarctic Survey; Global Affairs Canada; Ministry of Education, India; International Institute for Applied Systems Analysis; Ministry of Science, ICT and Future Planning; Össur; Nordisk Ministerråd; Ministry of Oceans and Fisheries; Ulkoministeriö; Ministry of Environment; Ministry of Land, Infrastructure and Transport; Ministry of Trade, Industry and Energy; Ministry of Foreign Affairs; European Investment Bank; National Research Centre; National Centre for Earth Observation; Université Laval; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Arctic; Indigenous; Political science; Geopolitics; Corporate governance; Stakeholder; Circumpolar star; Environmental resource management; Tourism; Environmental planning; Public administration; Geography; Business; Public relations; Economics; Ecology; Politics; Law","score_opus":0.018427141270802857,"score_gpt":0.3036608591325425,"score_spread":0.2852337178617396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991446304","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049610503,0.10065896,0.029994264,0.12712285,0.0066757514,0.003886476,0.04035442,0.0010491834,0.64064765],"genre_scores_gemma":[0.47890186,0.20517047,0.13450103,0.01898309,0.0038002797,0.016406722,0.0627085,0.0016200312,0.07790792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.96899676,0.011029149,0.0029321138,0.0015229343,0.013372478,0.0021465279],"domain_scores_gemma":[0.9505361,0.023895854,0.0029007876,0.003903502,0.017524656,0.0012391297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.041637238,0.0010369978,0.0013029446,0.02529644,0.0028342677,0.018610658,0.0020716467,0.0022908791,0.010075465],"category_scores_gemma":[0.051606864,0.0005243581,0.0009151654,0.046983007,0.00319524,0.010118938,0.005189824,0.003502558,0.0019780726],"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":[0.00013903511,0.00017499528,0.0048447633,0.010050314,0.00016654374,0.00017914799,0.030154368,0.0026139277,0.0004726425,0.45127687,0.18792397,0.31200337],"study_design_scores_gemma":[0.000015382579,0.00004712104,0.0045578475,0.009142026,0.000063260675,0.00006128769,0.027602276,0.0008652178,0.0006367507,0.030284567,0.92668754,0.00003665481],"about_ca_topic_score_codex":0.030122098,"about_ca_topic_score_gemma":0.019092375,"teacher_disagreement_score":0.041637238,"about_ca_system_score_codex":0.033919487,"about_ca_system_score_gemma":0.054179862,"threshold_uncertainty_score":0.24610424},"labels":[],"label_agreement":null},{"id":"W3000734750","doi":"","title":"Modeling wildfire dynamics using FLAM coupled with deep learning methods","year":2019,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Fire effects on ecosystems","field":"Environmental Science","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":"Computer science; Deep learning; Precipitation; Flexibility (engineering); Environmental science; Population; Climate change; Meteorology; Artificial intelligence; Remote sensing; Geography; Ecology; Statistics; Mathematics","score_opus":0.00884131502006639,"score_gpt":0.2539279227354027,"score_spread":0.24508660771533633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000734750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33585855,0.0005429542,0.6527308,0.00071572006,0.0001607621,0.000049769304,0.0010472015,0.001510994,0.007383222],"genre_scores_gemma":[0.9491102,0.00015108066,0.04679062,0.00017973331,0.000045995952,0.00006774411,0.0005708166,0.000069992326,0.0030137855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997906,0.000038432594,0.00001220288,0.00007084993,0.00003992856,0.00004809254],"domain_scores_gemma":[0.99955386,0.00021065414,0.00007050642,0.000037659658,0.00009343844,0.000033855104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062104705,0.0008367977,0.0006471898,0.000527957,0.00034697034,0.000978938,0.0015170715,0.0012497408,0.0017423774],"category_scores_gemma":[0.002052116,0.0005249625,0.0008725412,0.00057338894,0.00062999065,0.0012582522,0.0009530971,0.0013409748,0.00019895118],"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":[0.000010052818,0.000015951266,0.0010530953,0.000007484226,0.000021387352,0.000013917161,0.000006007657,0.99397814,0.00022181914,0.0009961136,0.00014427054,0.0035317566],"study_design_scores_gemma":[7.243235e-7,0.0000012223292,0.0000663269,7.3930295e-7,0.0000010433919,8.102227e-7,5.787027e-7,0.99946946,0.000046113702,0.0003796462,0.000032594962,8.448815e-7],"about_ca_topic_score_codex":0.034301836,"about_ca_topic_score_gemma":0.035752207,"teacher_disagreement_score":0.034301836,"about_ca_system_score_codex":0.0012411859,"about_ca_system_score_gemma":0.0009727145,"threshold_uncertainty_score":0.0682044},"labels":[],"label_agreement":null},{"id":"W3124700519","doi":"","title":"Sustainability and the Canadian Forest Sector","year":2000,"lang":"en","type":"preprint","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Forest Management and Policy","field":"Environmental Science","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":"Sustainability; Sustainable forest management; Work (physics); Sustainable development; Order (exchange); Private sector; Environmental resource management; Business; Forest management; Thunder; Environmental planning; Geography; Political science; Economics; Engineering; Forestry; Economic growth; Finance","score_opus":0.008992161283835984,"score_gpt":0.22892833416810876,"score_spread":0.21993617288427278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124700519","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05975197,0.047372963,0.0010810765,0.15042867,0.00086620543,0.00010826163,0.008160374,0.00019124564,0.73203915],"genre_scores_gemma":[0.56891423,0.04467678,0.0029162953,0.006507215,0.00019988207,0.00006350322,0.003382668,0.00012059508,0.37321877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99776924,0.00013529419,0.000038484006,0.00013853035,0.0010796845,0.00083872513],"domain_scores_gemma":[0.996958,0.00023697366,0.00011658074,0.00009294955,0.002038806,0.0005566506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013887872,0.00034417922,0.0002515506,0.0029710352,0.008876723,0.006673036,0.0010391456,0.0014273946,0.026157416],"category_scores_gemma":[0.0043478385,0.00024457838,0.00031358865,0.0074464586,0.0023675314,0.0018437157,0.0018272585,0.0013853136,0.0010047063],"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":[0.00006760687,0.000036732614,0.017044485,0.00030210626,0.000029389787,0.0002702413,0.0028261528,0.0017532784,0.0004088359,0.45168626,0.354278,0.1712969],"study_design_scores_gemma":[0.000011019578,0.0000077152845,0.047081437,0.00033112976,0.000022198934,0.00007005395,0.0044421945,0.001039603,0.00026719287,0.020974578,0.9257059,0.000046893336],"about_ca_topic_score_codex":0.997191,"about_ca_topic_score_gemma":0.99887973,"teacher_disagreement_score":0.13494474,"about_ca_system_score_codex":0.13494474,"about_ca_system_score_gemma":0.23288786,"threshold_uncertainty_score":0.9790972},"labels":[],"label_agreement":null},{"id":"W3124781413","doi":"","title":"North American Natural Gas Model Impact of Cross-Border Trade with Mexico","year":2016,"lang":"en","type":"preprint","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Natural Products and Biological Research","field":"Medicine","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 gas; Natural gas prices; Fossil fuel; Natural resource economics; Boom; Unconventional oil; Economics; Pipeline transport; Coal; Oil shale; Economy; Environmental science; Engineering; Environmental engineering; Waste management","score_opus":0.027833443313330316,"score_gpt":0.39665178433593823,"score_spread":0.3688183410226079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124781413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8319081,0.001660514,0.012340235,0.0059248153,0.0002155935,0.00011137532,0.012002207,0.00031157004,0.1355255],"genre_scores_gemma":[0.97269,0.0007394046,0.0021012414,0.00021302245,0.000040286486,0.00012948786,0.002424019,0.000039933388,0.021622742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985075,0.00004634459,0.0000038635244,0.000040275743,0.000015170531,0.000043623786],"domain_scores_gemma":[0.99965715,0.00012887207,0.00007468101,0.000018120954,0.0000681976,0.000052997948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043934342,0.00049713335,0.00065415713,0.00046358776,0.0006787511,0.0020874785,0.001247722,0.0012286642,0.011469149],"category_scores_gemma":[0.0011727208,0.00030348598,0.00091712817,0.00056522264,0.00046492758,0.000999763,0.00072148576,0.0008620498,0.00046429556],"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":[0.00016790534,0.000092961214,0.011259567,0.000059181442,0.000092213326,0.00026401892,0.00008765556,0.910466,0.00029887038,0.066170126,0.007544191,0.003497224],"study_design_scores_gemma":[0.0001488712,0.00010237692,0.008146865,0.000045823537,0.00010205174,0.00007118003,0.00029131642,0.966402,0.00014669799,0.012577114,0.011925842,0.00003988012],"about_ca_topic_score_codex":0.22003429,"about_ca_topic_score_gemma":0.13713218,"teacher_disagreement_score":0.7799657,"about_ca_system_score_codex":0.0032148596,"about_ca_system_score_gemma":0.0019304327,"threshold_uncertainty_score":0.4375071},"labels":[],"label_agreement":null},{"id":"W4393484439","doi":"10.5281/zenodo.7969716","title":"FABLE Scenathon database 2020","year":2023,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Long-Term Effects of COVID-19","field":"Medicine","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":"Computer science","score_opus":0.017796081072372273,"score_gpt":0.3072074754226754,"score_spread":0.2894113943503031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393484439","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00080003316,0.00054818735,0.002725584,0.0004139431,0.000068640664,0.00006602878,0.97266364,0.0063588666,0.016355187],"genre_scores_gemma":[0.005022699,0.00057562714,0.0040512816,0.00024948,0.000020445019,0.00014521027,0.98493063,0.0009943882,0.004010191],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920446,0.00012414265,0.00011058473,0.00015222785,0.000320048,0.00008864353],"domain_scores_gemma":[0.99747235,0.00066549977,0.0002308644,0.00039305977,0.0010789365,0.00015921376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014360427,0.0014163501,0.0009612706,0.005193986,0.00047301516,0.0035936006,0.0023077258,0.0013276936,0.098489836],"category_scores_gemma":[0.007346619,0.00052729616,0.00090995774,0.007384844,0.00019946478,0.0028975138,0.0015532426,0.00087907416,0.052019175],"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":[0.00016469226,0.000027478072,0.0021804527,0.00090863236,0.000055725435,0.00007754912,0.000052362833,0.004942203,0.00021841373,0.00535961,0.95768803,0.028324755],"study_design_scores_gemma":[0.00008669508,0.000018838311,0.0021828841,0.00030614936,0.000026856269,0.000050379906,0.00006909694,0.0035860047,0.00035264264,0.005480837,0.9877973,0.000042179057],"about_ca_topic_score_codex":0.0502174,"about_ca_topic_score_gemma":0.03832774,"teacher_disagreement_score":0.098489836,"about_ca_system_score_codex":0.002525976,"about_ca_system_score_gemma":0.0026772106,"threshold_uncertainty_score":0.3294813},"labels":[],"label_agreement":null},{"id":"W4393536876","doi":"10.5281/zenodo.7969574","title":"FABLE Scenathon database 2019","year":2023,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","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":"Computer science","score_opus":0.01687717044776272,"score_gpt":0.23822232605140248,"score_spread":0.22134515560363976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393536876","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00065154815,0.0004073518,0.0014786936,0.00029792974,0.00005333676,0.000047884954,0.9826744,0.0044660303,0.009922708],"genre_scores_gemma":[0.0043908474,0.00044779808,0.0025768487,0.00020407219,0.00001848659,0.00012198474,0.9878439,0.0008311115,0.0035649913],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924195,0.00012382853,0.000112462476,0.00015380465,0.0002830357,0.000084967425],"domain_scores_gemma":[0.99761593,0.0007429516,0.00022022365,0.0003660273,0.0009125484,0.00014240407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012348931,0.0014261941,0.0009671006,0.004669932,0.00046784373,0.0032718454,0.002218142,0.001358383,0.11949057],"category_scores_gemma":[0.007259911,0.00049495226,0.0010158129,0.0072603337,0.00019362038,0.002427049,0.0014817471,0.0008976335,0.05972927],"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":[0.0001712133,0.00002778683,0.0023100188,0.0010218545,0.000061163715,0.00009759078,0.00005171054,0.004498088,0.00022067486,0.003919044,0.96590894,0.02171188],"study_design_scores_gemma":[0.00011920107,0.000022277178,0.0028143127,0.0003412295,0.00003153791,0.00005737779,0.000078909514,0.0033374256,0.0003595903,0.0052699666,0.9875222,0.00004608527],"about_ca_topic_score_codex":0.046706643,"about_ca_topic_score_gemma":0.044029597,"teacher_disagreement_score":0.11949057,"about_ca_system_score_codex":0.0023568233,"about_ca_system_score_gemma":0.0023121159,"threshold_uncertainty_score":0.39973575},"labels":[],"label_agreement":null},{"id":"W4393669407","doi":"10.5281/zenodo.7969743","title":"FABLE Scenathon database 2021","year":2023,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","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":"Virology; Biology","score_opus":0.01780598009455662,"score_gpt":0.23844952838040784,"score_spread":0.22064354828585123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393669407","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006710028,0.00041406933,0.0026685253,0.00034105888,0.000055016033,0.000065591295,0.9755878,0.00693157,0.013265454],"genre_scores_gemma":[0.00454087,0.0004448663,0.0040059662,0.00022112805,0.000018196186,0.00014974063,0.9858856,0.001165154,0.0035683564],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915016,0.00013844782,0.00011170884,0.00016912665,0.0003327855,0.000097800796],"domain_scores_gemma":[0.9970669,0.0008856529,0.00024341616,0.00045619992,0.0011844204,0.0001633597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014461316,0.0016009087,0.0010620336,0.004795074,0.00052488444,0.0036037145,0.00250581,0.001496245,0.13286407],"category_scores_gemma":[0.008133467,0.00058194494,0.0010015358,0.0072586774,0.00020355619,0.0028678975,0.0015381149,0.0009564292,0.06646456],"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":[0.00016572245,0.000028877203,0.001984638,0.00094840286,0.000051674302,0.000085780506,0.00004986289,0.005025929,0.00022731144,0.004536947,0.96245337,0.024441425],"study_design_scores_gemma":[0.00011200946,0.00002172956,0.0023601258,0.00034147227,0.000027640071,0.000058018933,0.00007656331,0.0046168803,0.0004275694,0.005874171,0.98603606,0.000047704503],"about_ca_topic_score_codex":0.05135056,"about_ca_topic_score_gemma":0.042928144,"teacher_disagreement_score":0.13286407,"about_ca_system_score_codex":0.002593609,"about_ca_system_score_gemma":0.0027467404,"threshold_uncertainty_score":0.44447458},"labels":[],"label_agreement":null},{"id":"W4393746186","doi":"10.5281/zenodo.10366131","title":"Global gridded anthropogenic emissions of air pollutants and methane for the period 1990-2050","year":2025,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","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 science; Air pollutants; Period (music); Methane; Pollutant; Methane emissions; Climatology; Atmospheric sciences; Air pollution; Meteorology; Geography; Ecology; Geology; Biology","score_opus":0.008021129099524729,"score_gpt":0.2536741128086434,"score_spread":0.24565298370911864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393746186","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020606985,0.0005094123,0.00067636615,0.00023829385,0.00019829547,0.000027515203,0.9729124,0.0005052136,0.004325506],"genre_scores_gemma":[0.062754646,0.00063588587,0.003593338,0.0001173681,0.000039046532,0.00011783623,0.93035156,0.00013459066,0.0022556132],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997849,0.000027130858,0.000017608581,0.000062729945,0.00007288177,0.00003471036],"domain_scores_gemma":[0.9997379,0.000021739814,0.00003773134,0.00003974589,0.0001419451,0.000020845735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040521016,0.0011492289,0.0005723447,0.0014056386,0.0002122572,0.00066357176,0.00084983907,0.00077111647,0.0054510194],"category_scores_gemma":[0.0006776898,0.00046135864,0.0012189692,0.003961049,0.00017087995,0.00078462,0.00055865984,0.00074134767,0.0032276148],"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":[0.0012292095,0.0002877021,0.06636541,0.0050338837,0.0014205385,0.00059558003,0.00026552318,0.19346207,0.0036002847,0.006656492,0.6711068,0.049976587],"study_design_scores_gemma":[0.00049394555,0.00018897968,0.2726952,0.0006776535,0.00045825657,0.0004406561,0.0004377196,0.037893318,0.0042467644,0.0034430923,0.67882854,0.00019586732],"about_ca_topic_score_codex":0.10387437,"about_ca_topic_score_gemma":0.06779122,"teacher_disagreement_score":0.10387437,"about_ca_system_score_codex":0.001027451,"about_ca_system_score_gemma":0.0013670563,"threshold_uncertainty_score":0.20653951},"labels":[],"label_agreement":null},{"id":"W4393756805","doi":"10.5281/zenodo.10212339","title":"Climate Solutions Explorer - hazard, impacts and exposure data","year":2023,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Climate Change and Environmental Impact","field":"Environmental Science","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":"Kootenay Association for Science & Technology","funders":"European Commission","keywords":"Hazard; Environmental science; Meteorology; Geography; Climatology; Computer science; Geology","score_opus":0.07423184822689453,"score_gpt":0.29297907551420543,"score_spread":0.21874722728731089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393756805","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008966769,0.00006974022,0.00037171593,0.00009958454,0.000016343376,0.00002540078,0.99520195,0.0005728695,0.0027457364],"genre_scores_gemma":[0.006618571,0.00014506953,0.0017077642,0.00011199289,0.000024762956,0.0002251108,0.9885395,0.00038733712,0.0022397533],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993006,0.00011726158,0.00010546767,0.00014690403,0.00022752595,0.000102316204],"domain_scores_gemma":[0.9983569,0.00049433956,0.00030527552,0.00030904487,0.00037893292,0.00015550485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010014576,0.0007896959,0.000758443,0.0023889258,0.00027436466,0.0012511606,0.001106351,0.0010618066,0.06841694],"category_scores_gemma":[0.0037967346,0.00036001863,0.0008788343,0.0038176405,0.00018526956,0.0010133669,0.0015223426,0.0010242006,0.026005529],"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":[0.00020304644,0.000062043066,0.008148508,0.0012998163,0.00012748963,0.00013651747,0.00013801767,0.006788649,0.00059054483,0.003644928,0.9623461,0.016514441],"study_design_scores_gemma":[0.00021249801,0.000038913484,0.018522965,0.00025148466,0.00003957833,0.00009040721,0.0001499188,0.003294072,0.0005759319,0.003983173,0.9727719,0.0000692242],"about_ca_topic_score_codex":0.016930794,"about_ca_topic_score_gemma":0.015148111,"teacher_disagreement_score":0.06841694,"about_ca_system_score_codex":0.00082386134,"about_ca_system_score_gemma":0.0014062781,"threshold_uncertainty_score":0.22887748},"labels":[],"label_agreement":null},{"id":"W6893065418","doi":"10.5281/zenodo.14524342","title":"Climate Solutions Explorer - hazard, impacts and exposure data","year":2024,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"","field":"","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":"Kootenay Association for Science & Technology","funders":"European Commission","keywords":"Climate change; Precipitation; Climate model; Climate extremes; Global warming; NetCDF; Downscaling; Population; Greenhouse gas","score_opus":0.054535447994554516,"score_gpt":0.30666091363275017,"score_spread":0.25212546563819566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893065418","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004089506,0.0004059208,0.0033351358,0.00045869686,0.000046689907,0.00012279526,0.9490577,0.004850891,0.037632667],"genre_scores_gemma":[0.041165702,0.0010817433,0.016818473,0.0005921119,0.00012610998,0.0010329274,0.91201496,0.0041115726,0.0230565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993129,0.00012516213,0.00006207028,0.000110267945,0.0002739124,0.000115809926],"domain_scores_gemma":[0.9979127,0.0009520599,0.0002951857,0.00029612606,0.0003325703,0.00021135803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013532998,0.0008257,0.00062860694,0.0036644656,0.00030299104,0.0015229384,0.0008988185,0.0008342878,0.13589253],"category_scores_gemma":[0.0038957812,0.00036767506,0.0010100305,0.0045511015,0.00018147519,0.0014773358,0.0020577838,0.0010717297,0.03111077],"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":[0.00030635815,0.00010447564,0.0072208988,0.0016723725,0.00013475858,0.00023819163,0.00034652546,0.0073589305,0.0008261875,0.009085038,0.89930534,0.07340091],"study_design_scores_gemma":[0.00012704087,0.00003834438,0.010279472,0.0002543968,0.000033965378,0.00010285217,0.00015837427,0.0029540928,0.0006421224,0.008681341,0.97666913,0.000058938404],"about_ca_topic_score_codex":0.007855525,"about_ca_topic_score_gemma":0.0058890223,"teacher_disagreement_score":0.13589253,"about_ca_system_score_codex":0.00061616796,"about_ca_system_score_gemma":0.0012764144,"threshold_uncertainty_score":0.45460576},"labels":[],"label_agreement":null},{"id":"W6893229201","doi":"10.5281/zenodo.14712269","title":"Region constrained terrestrial areas of conservation importance for 2030","year":2024,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"","field":"","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":"Biome; Grid; Snapshot (computer storage); Prioritization; Map projection; Spatial analysis; Land cover; Biodiversity","score_opus":0.03398750936830864,"score_gpt":0.2943008025858635,"score_spread":0.26031329321755486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893229201","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028006746,0.00005792411,0.0010506988,0.0000646853,0.00003286988,0.0000266161,0.98782057,0.00079615024,0.0073497193],"genre_scores_gemma":[0.016032634,0.00009631504,0.004986944,0.000048274243,0.000009355908,0.00013086383,0.97537136,0.00025976778,0.0030644503],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99962664,0.000031888063,0.00003185305,0.000095908414,0.00015436724,0.000059391285],"domain_scores_gemma":[0.99904746,0.00008613812,0.00009546131,0.00017194822,0.0005284178,0.000070503025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054775906,0.0005799737,0.00043463774,0.0027918306,0.00029990126,0.001221855,0.0011519695,0.0004394138,0.035769634],"category_scores_gemma":[0.0025611864,0.0003321866,0.00065148924,0.0046180976,0.0001408201,0.0009656634,0.00074931607,0.00061837357,0.021126198],"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":[0.00024344909,0.00004454091,0.0196108,0.00066727475,0.000100912366,0.00007488865,0.00011792969,0.0073687965,0.0008004579,0.0060317963,0.9239018,0.04103735],"study_design_scores_gemma":[0.000089669025,0.000033129894,0.052986328,0.00025823707,0.000047358815,0.00012239692,0.00034603244,0.0069051986,0.001979268,0.0038050322,0.9333696,0.000057751513],"about_ca_topic_score_codex":0.080287814,"about_ca_topic_score_gemma":0.085036546,"teacher_disagreement_score":0.080287814,"about_ca_system_score_codex":0.001190427,"about_ca_system_score_gemma":0.0017669981,"threshold_uncertainty_score":0.15964097},"labels":[],"label_agreement":null},{"id":"W6909051289","doi":"10.34989/swp-2022-51","title":"CANVAS: A Canadian Behavioral Agent-Based Model","year":2022,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Complex Systems and Time Series Analysis","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 Toronto; Bank of Canada","funders":"","keywords":"Inflation (cosmology); Consumption (sociology); Discrete choice; Projection (relational algebra); Macroeconomic model; Economic model; Benchmark (surveying); Production (economics); Class (philosophy)","score_opus":0.042466403744084065,"score_gpt":0.23210406019447605,"score_spread":0.189637656450392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6909051289","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13472983,0.0025227296,0.34894082,0.016117942,0.0011185863,0.0011315241,0.046104103,0.0029123507,0.4464221],"genre_scores_gemma":[0.7654124,0.0027032578,0.12339328,0.001571136,0.0001671881,0.0011411458,0.0111903995,0.00034714307,0.094074085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996075,0.000103793136,0.00001311417,0.00006922189,0.000103078564,0.000103263534],"domain_scores_gemma":[0.9990772,0.00024678672,0.00006391641,0.000057068322,0.0004013771,0.0001536173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068723323,0.0008807942,0.00063805905,0.00088649977,0.0017179562,0.0022513953,0.002878901,0.0017741008,0.017939828],"category_scores_gemma":[0.0028324516,0.00046576041,0.0008904609,0.001286265,0.0009391753,0.0008880439,0.0013436287,0.0014056372,0.0015331162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010286124,0.000049455044,0.003403449,0.00008170587,0.000058061873,0.0001448066,0.00023770679,0.7907667,0.00031047873,0.16662149,0.027292425,0.010930957],"study_design_scores_gemma":[0.00008847949,0.000018381847,0.0009918808,0.0000391154,0.00003814943,0.000025866178,0.00014471436,0.92992026,0.00008592976,0.020652933,0.04795585,0.000038345817],"about_ca_topic_score_codex":0.8920472,"about_ca_topic_score_gemma":0.85766983,"teacher_disagreement_score":0.10795277,"about_ca_system_score_codex":0.011153035,"about_ca_system_score_gemma":0.016006375,"threshold_uncertainty_score":0.21717703},"labels":[],"label_agreement":null},{"id":"W6930273258","doi":"10.5281/zenodo.11640826","title":"FABLE Scenathon database 2023","year":2024,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","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":"Sustainability; Commodity; Consistency (knowledge bases); Agriculture; Scope (computer science); Futures studies; China; Agricultural productivity","score_opus":0.020093243762796198,"score_gpt":0.2479938415920918,"score_spread":0.22790059782929561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930273258","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006783978,0.000521039,0.00317095,0.00030818416,0.000054101543,0.000073375166,0.96869004,0.0061564897,0.020347334],"genre_scores_gemma":[0.00453784,0.0004699348,0.004883253,0.00022345682,0.000017101009,0.00017555225,0.9834536,0.001250127,0.0049891733],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999241,0.00011770386,0.000097514814,0.00015588828,0.00029742,0.000090458474],"domain_scores_gemma":[0.99780804,0.00061245204,0.0001692592,0.00039178244,0.00090064295,0.000117840114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001338516,0.001473317,0.0010509648,0.004824916,0.00061812607,0.0035930136,0.002775436,0.001446841,0.1744442],"category_scores_gemma":[0.006898949,0.0005744343,0.0011375616,0.0073680743,0.00021960867,0.0027138893,0.0015948428,0.00096738304,0.08686591],"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":[0.00016407504,0.000024420557,0.0013557373,0.00089775864,0.00005131004,0.00008882133,0.000050666044,0.0038504081,0.00023753915,0.005660762,0.9626619,0.0249565],"study_design_scores_gemma":[0.00009432311,0.000015107092,0.0015007694,0.00025828579,0.000024596597,0.00005081498,0.00005683919,0.0030251956,0.00035986892,0.005285253,0.989292,0.000036834812],"about_ca_topic_score_codex":0.056564357,"about_ca_topic_score_gemma":0.04741576,"teacher_disagreement_score":0.1744442,"about_ca_system_score_codex":0.0029568681,"about_ca_system_score_gemma":0.003092056,"threshold_uncertainty_score":0.58357394},"labels":[],"label_agreement":null},{"id":"W6948689441","doi":"10.5281/zenodo.10977218","title":"Data and literature repository for \"Climate Futures are Political Futures: Integrating Political Development Into the Shared Socioeconomic Pathways (SSPs)\"","year":2024,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"","field":"","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":"Politics; Government (linguistics); Sustainable development; Corporate governance; Futures contract; Futures studies; Table (database); Environmental governance","score_opus":0.023299657409129728,"score_gpt":0.29147552240299557,"score_spread":0.26817586499386586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6948689441","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004367396,0.00016683494,0.00015323015,0.00022899348,0.00004539745,0.00007035219,0.9973417,0.00017692492,0.0017728662],"genre_scores_gemma":[0.0014280062,0.0014245493,0.0030234396,0.00058404176,0.000076592216,0.0031071857,0.98531127,0.0004718343,0.0045729983],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962895,0.0005446207,0.00138458,0.0005940378,0.0009130314,0.0002741786],"domain_scores_gemma":[0.97065365,0.012771631,0.0035965233,0.0027331018,0.009129301,0.0011158944],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034523588,0.0013368457,0.0022799703,0.015779657,0.0014318057,0.0047293254,0.0034551013,0.003076526,0.43682986],"category_scores_gemma":[0.057999987,0.00087504444,0.0019863057,0.032976776,0.0006544923,0.0044686724,0.006182003,0.002641874,0.1778375],"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":[0.000050809547,0.000014336658,0.0005228793,0.011821959,0.000042392763,0.000046615278,0.00012225923,0.00011405664,0.00007714257,0.002081942,0.9771259,0.007979777],"study_design_scores_gemma":[0.00014635101,0.000012436017,0.002239001,0.005266065,0.00007839868,0.000062542684,0.00023879747,0.00007697424,0.00014135079,0.0030229522,0.98867166,0.000043604534],"about_ca_topic_score_codex":0.012416088,"about_ca_topic_score_gemma":0.023256268,"teacher_disagreement_score":0.43682986,"about_ca_system_score_codex":0.0021434878,"about_ca_system_score_gemma":0.0077390526,"threshold_uncertainty_score":0.8032938},"labels":[],"label_agreement":null},{"id":"W6982026088","doi":"","title":"Global emissions of fluorinated greenhouse gases until 2050: technical mitigation potentials and cost","year":2016,"lang":"en","type":"other","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","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":"Greenhouse gas; Global-warming potential; Global warming; Montreal Protocol; Carbon dioxide equivalent; Global temperature; Carbon dioxide; Greenhouse effect; Climate change mitigation","score_opus":0.009778067207500813,"score_gpt":0.2580944565391491,"score_spread":0.24831638933164826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6982026088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84098345,0.009664632,0.06606103,0.0018807461,0.00011602171,0.00023236775,0.019004216,0.00047164992,0.06158598],"genre_scores_gemma":[0.9767387,0.0040737535,0.010864394,0.00010873271,0.000016162368,0.000081994935,0.00427091,0.000037809197,0.003807521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996203,0.00005708165,0.0000118229855,0.000047022244,0.00016087611,0.000102896614],"domain_scores_gemma":[0.9998005,0.000054077125,0.000040690673,0.00002266605,0.00007020132,0.000011987761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007132986,0.0008540851,0.00029697292,0.001339005,0.00027465518,0.0013588248,0.0006325072,0.00056234933,0.0022692753],"category_scores_gemma":[0.0008582371,0.0002600622,0.0016336753,0.0019959072,0.00037232772,0.0018821949,0.00058013154,0.00038017618,0.00036910232],"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":[0.0002713806,0.000054515964,0.06264285,0.00050832715,0.00050326047,0.0004963647,0.0001240751,0.7769282,0.004152386,0.028007098,0.0036617152,0.122649774],"study_design_scores_gemma":[0.00009241237,0.00083546754,0.33476558,0.00057235936,0.0014953568,0.001095582,0.0015510563,0.43422785,0.027415978,0.04653471,0.15106326,0.00035049446],"about_ca_topic_score_codex":0.069995105,"about_ca_topic_score_gemma":0.08642148,"teacher_disagreement_score":0.069995105,"about_ca_system_score_codex":0.003948474,"about_ca_system_score_gemma":0.0023379426,"threshold_uncertainty_score":0.13917536},"labels":[],"label_agreement":null},{"id":"W6983481187","doi":"","title":"Modeling risks of climate-driven wildfires in boreal forest: the FLAM approach","year":2023,"lang":"en","type":"other","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"","field":"","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":"Boreal; Taiga; Climate change; Boreal ecosystem; Adaptation (eye); Global change","score_opus":0.05042086608412811,"score_gpt":0.30606895594731093,"score_spread":0.2556480898631828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983481187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68698376,0.0020816305,0.22990054,0.0025632125,0.0003813776,0.00020345626,0.0033303404,0.0008334344,0.073722295],"genre_scores_gemma":[0.9689033,0.00043947907,0.02166329,0.0001751695,0.00011856517,0.00011378773,0.00074985716,0.00008513201,0.0077513694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965084,0.00017287987,0.00001586272,0.00005011988,0.0000547755,0.000055553304],"domain_scores_gemma":[0.99943787,0.00029007634,0.000083742605,0.000028060718,0.00008610952,0.00007403033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012174108,0.00090471614,0.00042312234,0.00069452653,0.00058706914,0.001387084,0.0010990865,0.0013609664,0.00287336],"category_scores_gemma":[0.0017388882,0.0003190402,0.0011271467,0.00040715298,0.000309379,0.00092685316,0.00096997974,0.0005470359,0.00019853901],"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":[0.000029649185,0.000045209523,0.0044806865,0.00002075975,0.000051803912,0.00006300933,0.00001947622,0.98335266,0.00018021346,0.0057233535,0.00073646574,0.0052966676],"study_design_scores_gemma":[0.0000074912687,0.00002387892,0.0010478193,0.000008261586,0.000010788291,0.000021415768,0.000022476881,0.99488884,0.00004824383,0.0030756118,0.00083748985,0.000007678213],"about_ca_topic_score_codex":0.047038324,"about_ca_topic_score_gemma":0.043485884,"teacher_disagreement_score":0.047038324,"about_ca_system_score_codex":0.001117229,"about_ca_system_score_gemma":0.0010764874,"threshold_uncertainty_score":0.093529046},"labels":[],"label_agreement":null},{"id":"W6992650216","doi":"","title":"Maturation Trends Suggestive of Rapid Evolution Preceded the Collapse of Northern Cod","year":2004,"lang":"en","type":"book","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Marine and fisheries research","field":"Environmental Science","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":"Austrian Science Fund; European Commission","keywords":"Fishing; Population; Life history; Population decline; Life history theory; Atlantic cod; Fisheries management; Phenotypic plasticity; Submarine pipeline","score_opus":0.01021190476903351,"score_gpt":0.2283709864742573,"score_spread":0.2181590817052238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992650216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7424072,0.014107721,0.014292915,0.0027398672,0.00027256217,0.00006051346,0.003024454,0.000648614,0.22244622],"genre_scores_gemma":[0.9226046,0.0056719477,0.006517579,0.00025030962,0.00007899593,0.000015563992,0.001111802,0.000085375796,0.06366376],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99993026,0.000008205249,0.0000040835503,0.000034902434,0.000016306605,0.0000062436825],"domain_scores_gemma":[0.9997211,0.0000720693,0.00009680372,0.000027322092,0.00005866271,0.000024126244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026764505,0.00013405048,0.000102906466,0.00040517692,0.00022104051,0.00065242464,0.00016816604,0.00015660291,0.0030970855],"category_scores_gemma":[0.000546037,0.000111578694,0.00008542581,0.0006282338,0.0004858752,0.00038908722,0.00020416713,0.00036068528,0.0007750516],"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":[0.00044608684,0.00005079973,0.26332697,0.0010265317,0.00007067415,0.0027938266,0.00405825,0.0022195063,0.12324412,0.02539466,0.016772699,0.5605959],"study_design_scores_gemma":[0.0000063238094,0.00010661105,0.87120706,0.00013211192,0.000041968407,0.002337262,0.000796795,0.0010271235,0.014485344,0.003713854,0.10612064,0.000024929854],"about_ca_topic_score_codex":0.008829,"about_ca_topic_score_gemma":0.03573158,"teacher_disagreement_score":0.008829,"about_ca_system_score_codex":0.0007622231,"about_ca_system_score_gemma":0.0005218516,"threshold_uncertainty_score":0.017555237},"labels":[],"label_agreement":null},{"id":"W7010130295","doi":"","title":"Good and bad examples of siting and building biosafety level 4 laboratories: A study of Winnipeg, Galveston and Etobicoke","year":2002,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Hymenoptera taxonomy and phylogeny","field":"Agricultural and Biological Sciences","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":"Biosafety; Legislation; Government (linguistics); Work (physics)","score_opus":0.04048435040868117,"score_gpt":0.23163123674077582,"score_spread":0.19114688633209465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010130295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98079014,0.0007503025,0.0008744771,0.0023555623,0.000027318014,0.00009837051,0.00013493994,0.0000308,0.014938136],"genre_scores_gemma":[0.9922531,0.0003769529,0.001250198,0.0003435678,0.000003936615,0.000016382863,0.00006590078,0.000031305182,0.0056586927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976126,0.00083699706,0.00007591983,0.00022120948,0.00048943236,0.0007639166],"domain_scores_gemma":[0.99483335,0.0011063273,0.0008420628,0.0005216113,0.000971256,0.0017253581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031378025,0.00039849427,0.00029456368,0.0017299495,0.008701894,0.0023850787,0.0014601182,0.0009787566,0.0028275857],"category_scores_gemma":[0.006341637,0.00051976764,0.0002746463,0.0023914727,0.005156139,0.0015780193,0.002549378,0.0013995789,0.00035968347],"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":[0.0005880094,0.00033422007,0.5839393,0.00035382845,0.00009059342,0.0043146177,0.23163094,0.0009473308,0.0054924088,0.026683329,0.011660733,0.13396466],"study_design_scores_gemma":[0.000022446997,0.00024747002,0.6952958,0.00016201839,0.000056760877,0.0013397696,0.23734659,0.0005061064,0.00115551,0.0015321809,0.0622663,0.00006898388],"about_ca_topic_score_codex":0.5860739,"about_ca_topic_score_gemma":0.8845476,"teacher_disagreement_score":0.41392612,"about_ca_system_score_codex":0.0072079077,"about_ca_system_score_gemma":0.008559512,"threshold_uncertainty_score":0.8327276},"labels":[],"label_agreement":null},{"id":"W7019901627","doi":"","title":"India’s Long-Term Hydrofluorocarbon Emissions: A detailed cross-sectoral analysis within an integrated assessment modelling framework","year":2015,"lang":"en","type":"other","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"","field":"","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":"Foundation (evidence); Sustainability; Energy demand; Energy analysis; Sustainable energy","score_opus":0.03695537300589521,"score_gpt":0.3354602037432907,"score_spread":0.29850483073739553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019901627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86323714,0.0011073195,0.028414901,0.0020760628,0.0000516345,0.00012022716,0.0077335285,0.00034999297,0.09690915],"genre_scores_gemma":[0.98581475,0.00071040745,0.0054880334,0.00006897404,0.000008683649,0.000047214722,0.0021694023,0.000040383195,0.0056521427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966764,0.0001046104,0.000015341806,0.000041463107,0.000095820746,0.000075071184],"domain_scores_gemma":[0.99966943,0.00011811739,0.000040884563,0.000046190587,0.00010747185,0.00001792467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005243751,0.00040179308,0.0003643644,0.00079960073,0.00031801136,0.0014705439,0.0006524328,0.00043662835,0.0016949817],"category_scores_gemma":[0.00069473474,0.00028974563,0.0012596773,0.0022244863,0.00029588884,0.0008278437,0.0008110366,0.00056905707,0.00033940113],"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":[0.00026043344,0.00021553208,0.05056907,0.0002138705,0.0005346959,0.0007380788,0.0004312712,0.8493013,0.0035083427,0.050181076,0.00715051,0.036895815],"study_design_scores_gemma":[0.000059881015,0.00027554436,0.13789016,0.00015185878,0.00088644994,0.00029791857,0.0018478903,0.79424775,0.0075563407,0.024233732,0.032371704,0.00018082035],"about_ca_topic_score_codex":0.13296004,"about_ca_topic_score_gemma":0.11220717,"teacher_disagreement_score":0.13296004,"about_ca_system_score_codex":0.0031132454,"about_ca_system_score_gemma":0.0025913997,"threshold_uncertainty_score":0.26437223},"labels":[],"label_agreement":null},{"id":"W7028994963","doi":"","title":"HFC mitigation pathways compatible with 1.5 oC in the context of the Kigali Amendment","year":2023,"lang":"en","type":"other","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"History of Computing Technologies","field":"Computer Science","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":"Montreal Protocol; Context (archaeology); Greenhouse gas; Global warming; Refrigerant; Amendment; Production (economics); Schedule","score_opus":0.018325742090762875,"score_gpt":0.22715921374192377,"score_spread":0.2088334716511609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028994963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57634515,0.007047265,0.035380688,0.0060611954,0.0010933983,0.0017669953,0.013503251,0.0010748552,0.35772717],"genre_scores_gemma":[0.9667173,0.002764458,0.012786096,0.0009209325,0.00006381687,0.00044610453,0.003229913,0.00011045047,0.01296092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991406,0.000091917755,0.000020122487,0.00012148103,0.00024032884,0.0003854784],"domain_scores_gemma":[0.9997147,0.000039444392,0.000052578256,0.000032626598,0.00012527432,0.000035365887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075123407,0.00072022656,0.00027316378,0.000695254,0.0009799363,0.0015933007,0.0010803152,0.0012411311,0.0058254804],"category_scores_gemma":[0.0007438092,0.00019360264,0.0007906687,0.00057387585,0.00081422774,0.0014669974,0.0013984478,0.0012549285,0.0009066664],"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":[0.0019787424,0.0010157756,0.050327092,0.0067569716,0.00043045523,0.0065217447,0.0026675437,0.1862889,0.20316656,0.26385993,0.068368055,0.20861839],"study_design_scores_gemma":[0.00022733244,0.0014325015,0.07162313,0.0012899186,0.0004566963,0.00076318113,0.0052951104,0.027356606,0.11044196,0.04308034,0.7376732,0.0003600352],"about_ca_topic_score_codex":0.06997126,"about_ca_topic_score_gemma":0.09452354,"teacher_disagreement_score":0.06997126,"about_ca_system_score_codex":0.0036765134,"about_ca_system_score_gemma":0.005528732,"threshold_uncertainty_score":0.13912797},"labels":[],"label_agreement":null},{"id":"W7039404787","doi":"","title":"Maturation of Newfoundland American Plaice (Hippoglosoides platessoides): Long-term Trends in Maturation Reaction Norms despite Low Fishing Mortality?","year":2005,"lang":"en","type":"book","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","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":"Austrian Science Fund; European Commission","keywords":"Fishing; Fish stock; Arctic; Commercial fishing; Population; Natural (archaeology); Fisheries management","score_opus":0.011315613322820448,"score_gpt":0.2685954884972182,"score_spread":0.25727987517439777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039404787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989774,0.000105038744,0.00014933472,0.00001865587,0.0000012751051,0.00000267523,0.00024898938,0.000004519821,0.0004921192],"genre_scores_gemma":[0.99883014,0.000066378096,0.0001739963,0.000019109746,0.000002007391,0.00000507417,0.00043474877,0.0000028708212,0.00046558122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999448,0.0000067861934,0.000004026115,0.000022628325,0.000009941231,0.000011794227],"domain_scores_gemma":[0.9991726,0.00006885593,0.00047752392,0.00004884107,0.0001455527,0.000086595945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022664151,0.00010281054,0.00008825982,0.0003283798,0.0001823247,0.00027718613,0.00012784156,0.000113861504,0.0006244768],"category_scores_gemma":[0.0006359378,0.00007190578,0.000075453354,0.00024675435,0.00027807947,0.00021125154,0.00017096584,0.00018036184,0.00021870638],"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":[0.00019592987,0.000016463622,0.9569309,0.000021753382,0.000045941368,0.000057959078,0.0003447096,0.00035883687,0.03280709,0.0000684153,0.00020832592,0.008943799],"study_design_scores_gemma":[3.1687208e-7,0.000012435319,0.9994869,5.908579e-7,0.000002341406,0.00001152278,0.000038640956,0.000074976124,0.00028180194,0.0000063225853,0.00008301618,0.0000011438382],"about_ca_topic_score_codex":0.077713095,"about_ca_topic_score_gemma":0.19301116,"teacher_disagreement_score":0.9222869,"about_ca_system_score_codex":0.0008010868,"about_ca_system_score_gemma":0.00027885017,"threshold_uncertainty_score":0.15452152},"labels":[],"label_agreement":null},{"id":"W7045799472","doi":"","title":"The Basin of Mexico Hydrogeological Database: Implementation, Queries and Interaction with Open Source Software","year":2007,"lang":"en","type":"book","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","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 Institute for Applied Systems Analysis; Universidad Nacional Autónoma de México; University of Alberta; McGill University","keywords":"Hydrogeology; Structural basin; Metropolitan area; Surface runoff; Geographic information system; Aquifer; Water supply; Borehole; Software","score_opus":0.017732968724570062,"score_gpt":0.30329610638376864,"score_spread":0.28556313765919855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045799472","genre_codex":"methods","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023320928,0.0005898855,0.5476276,0.0015003879,0.00023552481,0.0017521097,0.08301971,0.31970537,0.022248415],"genre_scores_gemma":[0.11389775,0.0011470441,0.6337001,0.00060176663,0.00017355093,0.0041786027,0.1929657,0.03406615,0.019269412],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980393,0.00027877316,0.000310138,0.0004913603,0.0007591172,0.000121381156],"domain_scores_gemma":[0.99631953,0.0011747569,0.00025611656,0.0010842435,0.00084497436,0.00032051688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049287667,0.0007689957,0.00086309656,0.0034546084,0.0010663271,0.0050181467,0.0033752823,0.00081350224,0.022464534],"category_scores_gemma":[0.010999873,0.00097307924,0.00062394823,0.0044509186,0.0005581026,0.0036451072,0.0038707897,0.0013092558,0.008465516],"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":[0.0010123459,0.0004071949,0.012925081,0.0011523966,0.00024000822,0.0009972325,0.0032381525,0.0072465804,0.013151726,0.032285236,0.41913572,0.5082082],"study_design_scores_gemma":[0.00058826606,0.00014141522,0.018418206,0.00036076872,0.000109736095,0.00074427156,0.00088378746,0.088905126,0.018595485,0.014898227,0.8561365,0.00021811579],"about_ca_topic_score_codex":0.01188418,"about_ca_topic_score_gemma":0.0068484168,"teacher_disagreement_score":0.022464534,"about_ca_system_score_codex":0.0012430553,"about_ca_system_score_gemma":0.0022730853,"threshold_uncertainty_score":0.075151384},"labels":[],"label_agreement":null},{"id":"W7066837928","doi":"","title":"Inventory of Research on the Impacts of Climate Change","year":2004,"lang":"en","type":"book","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Yeasts and Rust Fungi Studies","field":"Biochemistry, Genetics and Molecular Biology","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; Agriculture; Ecological forecasting; Political economy of climate change; Global warming; Global change; Productivity; Ecosystem; Work (physics); Ecosystem services","score_opus":0.05011895447042226,"score_gpt":0.3221129473513463,"score_spread":0.2719939928809241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066837928","genre_codex":"dataset","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063788734,0.09519679,0.01457308,0.011639503,0.00083616376,0.0012170846,0.4216456,0.0012511944,0.38985184],"genre_scores_gemma":[0.27016205,0.26425424,0.07680515,0.003235828,0.0007048158,0.002865146,0.30492476,0.00043907063,0.076608956],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99329257,0.0012072193,0.0009776005,0.0008130077,0.0033465214,0.0003631116],"domain_scores_gemma":[0.96879816,0.009237567,0.0044355523,0.00337599,0.012891967,0.0012607733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071803583,0.000889949,0.0008889799,0.02642411,0.0009159724,0.004744402,0.0013987349,0.0005813911,0.0141605325],"category_scores_gemma":[0.018759388,0.0006220304,0.0013545384,0.04953525,0.00067849463,0.0029094685,0.0020560718,0.0008437841,0.005961402],"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":[0.00031770766,0.00019142573,0.10205772,0.013828225,0.001382305,0.00037299938,0.0025278379,0.0059832465,0.004110786,0.042845055,0.09464382,0.7317389],"study_design_scores_gemma":[0.00002223475,0.00013112057,0.16092403,0.005298154,0.00050514104,0.00027305647,0.001988986,0.0011835699,0.0016478599,0.010506996,0.817459,0.000059828017],"about_ca_topic_score_codex":0.04167976,"about_ca_topic_score_gemma":0.041759197,"teacher_disagreement_score":0.04167976,"about_ca_system_score_codex":0.0060952595,"about_ca_system_score_gemma":0.019481717,"threshold_uncertainty_score":0.08287436},"labels":[],"label_agreement":null},{"id":"W7071200294","doi":"","title":"Role of removals in contributing to the long-term goals of the Paris Agreement","year":2023,"lang":"en","type":"other","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","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":"Carbon Engineering (Canada)","funders":"","keywords":"Greenhouse gas; Carbon dioxide removal; Overshoot (microwave communication); Climate change; Carbon dioxide; Atmosphere (unit); Carbon fibers; Climate change mitigation; Climate policy","score_opus":0.011208090919771756,"score_gpt":0.2610030585741405,"score_spread":0.24979496765436876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071200294","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01846438,0.0074629174,0.027907323,0.082171574,0.0014064143,0.0002120629,0.0001329171,0.00051300804,0.8617294],"genre_scores_gemma":[0.6983426,0.0058658156,0.030565929,0.023249056,0.0014158312,0.00045970196,0.00022460154,0.0005186294,0.23935784],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9580304,0.020209108,0.0010803213,0.0023259718,0.01370269,0.00465158],"domain_scores_gemma":[0.9857378,0.0063369074,0.0016394604,0.002020367,0.0030872268,0.0011782369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03139299,0.0014339855,0.0006311406,0.0028187488,0.006953147,0.018917616,0.0028635263,0.007420087,0.010369742],"category_scores_gemma":[0.023154339,0.0005348073,0.0011206906,0.0021413544,0.011370523,0.0075813876,0.011064639,0.006279045,0.0022336908],"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":[0.00006308598,0.00006153199,0.0015010874,0.00018594027,0.00004217251,0.0004737151,0.0017169879,0.004466807,0.0005001373,0.91775227,0.023669772,0.04956657],"study_design_scores_gemma":[0.000038509865,0.000121627105,0.003335944,0.0005358891,0.000029620598,0.00022905174,0.003303933,0.0024001314,0.0024131127,0.222558,0.7648866,0.00014755162],"about_ca_topic_score_codex":0.019963175,"about_ca_topic_score_gemma":0.022105686,"teacher_disagreement_score":0.03139299,"about_ca_system_score_codex":0.017707711,"about_ca_system_score_gemma":0.02408764,"threshold_uncertainty_score":0.16602397},"labels":[],"label_agreement":null},{"id":"W7074043816","doi":"","title":"Assessing Changes in Age and Size at Maturation in Collapsing Populations of Atlantic Cod (Gadus Morhua)","year":2005,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Diverse Scientific and Economic Studies","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":"Austrian Science Fund; European Commission","keywords":"Biomass (ecology); Atlantic cod; Age structure; Population; Biological evolution; Life history; Genetic variation; Allometry","score_opus":0.053949359319327365,"score_gpt":0.25976897668662097,"score_spread":0.2058196173672936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7074043816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969881,0.000018894272,0.0027548163,0.000007849849,9.93674e-7,0.0000040958953,0.00004941401,0.000009441151,0.00016635198],"genre_scores_gemma":[0.9979588,0.000015705744,0.001753438,0.0000060731477,0.0000013205089,0.0000059008426,0.00014808575,0.0000028614288,0.00010773826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996277,0.00011156384,0.000022449307,0.00015609025,0.0000448792,0.00003732166],"domain_scores_gemma":[0.9947595,0.002203794,0.0021268274,0.00039303236,0.00030830092,0.00020848872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025373998,0.00023452635,0.00017940407,0.00057320454,0.00023610676,0.00047057652,0.00037140207,0.00023655653,0.00039416357],"category_scores_gemma":[0.009032439,0.00019593738,0.0002569959,0.00026393344,0.000562796,0.00036080752,0.000514684,0.00029497794,0.000091710186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082859224,0.000013046039,0.9766027,0.000009162452,0.000085237094,0.00002005136,0.0002732899,0.0116267,0.0021992626,0.00028829862,0.000059975046,0.008739452],"study_design_scores_gemma":[0.000006102346,0.00010348361,0.9344635,0.0000048075744,0.000033690085,0.00007607566,0.00024896502,0.06305267,0.0010576948,0.00071467663,0.00021270325,0.000025661448],"about_ca_topic_score_codex":0.04292147,"about_ca_topic_score_gemma":0.08082099,"teacher_disagreement_score":0.04292147,"about_ca_system_score_codex":0.0009958494,"about_ca_system_score_gemma":0.00040126103,"threshold_uncertainty_score":0.0853433},"labels":[],"label_agreement":null},{"id":"W7075750745","doi":"","title":"Mitigating fisheries-induced evolution in lacustrine brook charr (Salvelinus fontinalis) in southern Quebec, Canada","year":2009,"lang":"en","type":"book","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","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":"Université du Québec à Trois-Rivières","funders":"International Institute for Applied Systems Analysis; Vienna Science and Technology Fund; Austrian Science Fund; European Science Foundation; Natural Sciences and Engineering Research Council of Canada; European Commission; Parks Canada","keywords":"Fishing; Climate change; Fish <Actinopterygii>; Evolutionarily stable strategy; Evolutionary ecology; Biomass (ecology); Sustainable yield","score_opus":0.011437616909907447,"score_gpt":0.22222349435816657,"score_spread":0.21078587744825913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7075750745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882901,0.0015495219,0.0022028543,0.00038052327,0.000012050231,0.000010927813,0.0005165772,0.00010083243,0.006936629],"genre_scores_gemma":[0.984006,0.0015364429,0.0028037236,0.00006507206,0.000003471905,0.000009346053,0.00071710016,0.000026868045,0.01083186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999498,0.000006326111,0.0000011958416,0.000010253534,0.000019460926,0.000012988942],"domain_scores_gemma":[0.9999261,0.000011422545,0.000013373744,0.0000027796225,0.000032293752,0.00001402289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014880697,0.0002271276,0.00015534855,0.0002395564,0.0008449869,0.00041617916,0.0005491747,0.00022275421,0.0009761182],"category_scores_gemma":[0.00026242767,0.000096419375,0.0001490869,0.0004732208,0.0002915351,0.00012137753,0.00016599493,0.0001367849,0.00016415743],"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":[0.00060197234,0.00017065286,0.3909211,0.0004024401,0.00022011682,0.0014309781,0.002223743,0.19875205,0.17406073,0.0031653312,0.02229826,0.20575273],"study_design_scores_gemma":[0.000059850314,0.00049935415,0.82876307,0.00008041544,0.000119467804,0.00054636836,0.0033002603,0.10301426,0.018288027,0.0018226977,0.04340151,0.000104654304],"about_ca_topic_score_codex":0.91637075,"about_ca_topic_score_gemma":0.9759385,"teacher_disagreement_score":0.08362925,"about_ca_system_score_codex":0.008246882,"about_ca_system_score_gemma":0.004743594,"threshold_uncertainty_score":0.16824347},"labels":[],"label_agreement":null},{"id":"W7091714336","doi":"10.5281/zenodo.13850304","title":"IPBES Nexus Assessment: Chapter 3 – Future interactions across the nexus","year":2024,"lang":"en","type":"report","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Coastal and Marine Management","field":"Environmental Science","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":"Nexus (standard); Biodiversity; Thematic map; Ecosystem services; Corporate governance; Biodiversity conservation","score_opus":0.019491258957718034,"score_gpt":0.306619572018269,"score_spread":0.287128313060551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7091714336","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041573597,0.023421356,0.01226455,0.043846425,0.0059342994,0.0010412616,0.017980868,0.00086797785,0.89048594],"genre_scores_gemma":[0.09077141,0.08642863,0.089499444,0.032570813,0.002976789,0.0065872073,0.064916894,0.0016877801,0.624561],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99618196,0.00065350917,0.00014138897,0.00019405106,0.0024661322,0.00036284656],"domain_scores_gemma":[0.9978278,0.00052295043,0.00014798414,0.0001225515,0.0011606313,0.00021804788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047830194,0.001250166,0.0006059648,0.0028436533,0.0016906761,0.007073481,0.0016494697,0.0033519159,0.0369413],"category_scores_gemma":[0.006149555,0.0005752712,0.0011271525,0.0047751702,0.0010025081,0.0066514164,0.0049193585,0.004330129,0.008831977],"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":[0.00011139729,0.00008871555,0.001568663,0.0012037075,0.000049428098,0.00022938517,0.00045695453,0.003741114,0.00073680986,0.24070051,0.6509358,0.1001775],"study_design_scores_gemma":[0.000010350287,0.000017436761,0.0013037107,0.0010209875,0.000018498988,0.000094826304,0.00042993887,0.0005023545,0.0007831214,0.036368664,0.9594301,0.000020029147],"about_ca_topic_score_codex":0.018226065,"about_ca_topic_score_gemma":0.022183474,"teacher_disagreement_score":0.0369413,"about_ca_system_score_codex":0.0047997274,"about_ca_system_score_gemma":0.01681621,"threshold_uncertainty_score":0.12358093},"labels":[],"label_agreement":null},{"id":"W7109944836","doi":"10.5281/zenodo.17845154","title":"CMIP7 ScenarioMIP historical timeseries for harmonisation and simple climate model workflow","year":2025,"lang":"","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"","field":"","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":"Greenhouse gas; Workflow; Climate model; Climate change; Process (computing); Set (abstract data type); Simple (philosophy); Global warming","score_opus":0.025679704736128895,"score_gpt":0.28280108573676255,"score_spread":0.25712138100063364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7109944836","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012129984,0.00017109771,0.08068688,0.00094682036,0.00074136414,0.00044903488,0.72893035,0.15357314,0.03328834],"genre_scores_gemma":[0.008292451,0.00038601633,0.08975372,0.00078861107,0.00019526112,0.0015979329,0.7926542,0.08741138,0.018920418],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987073,0.00024640685,0.00017675778,0.00032630004,0.00040115672,0.00014195031],"domain_scores_gemma":[0.99455607,0.0014371611,0.00033298315,0.0018341822,0.0015169838,0.00032256785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004235767,0.0017818622,0.0008557461,0.0032882625,0.0012354308,0.0046702777,0.0031572625,0.0015721575,0.18468155],"category_scores_gemma":[0.012966369,0.0016380863,0.0022372676,0.0043190843,0.0005521115,0.005304098,0.0028633808,0.0032154846,0.12114188],"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":[0.0002323372,0.000027794173,0.00077161874,0.00046232573,0.000058724327,0.00010350184,0.00018187171,0.004321167,0.0006030543,0.010354025,0.9593478,0.023535904],"study_design_scores_gemma":[0.00013236476,0.0000145896265,0.0010053556,0.00017764754,0.00001889225,0.00008784191,0.000101306854,0.0052063577,0.0026242002,0.015110234,0.9754283,0.00009288748],"about_ca_topic_score_codex":0.015665052,"about_ca_topic_score_gemma":0.010719531,"teacher_disagreement_score":0.18468155,"about_ca_system_score_codex":0.002155212,"about_ca_system_score_gemma":0.003302796,"threshold_uncertainty_score":0.61782134},"labels":[],"label_agreement":null},{"id":"W7119505739","doi":"10.1177/089124162513984","title":"Scenarios and Ethnography: Infrastructural Futures as Windows into the Present","year":2025,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Water Governance and Infrastructure","field":"Social Sciences","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":"Futures studies; Futures contract; Ethnography; Scenario planning; Field (mathematics); Track (disk drive)","score_opus":0.008379080421190403,"score_gpt":0.2837469195933288,"score_spread":0.2753678391721384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7119505739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40620813,0.0058667064,0.3115993,0.027590863,0.00088614784,0.00161223,0.0010725223,0.0003114055,0.24485268],"genre_scores_gemma":[0.9444078,0.0024535675,0.045690015,0.0010633557,0.00013513985,0.00088781986,0.00023049222,0.000086941196,0.0050448882],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.967464,0.03048233,0.00036952592,0.00065497844,0.000530397,0.0004987133],"domain_scores_gemma":[0.9650553,0.030040307,0.0011268464,0.0025162594,0.0005853213,0.00067599176],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.016379131,0.0009422217,0.00040971136,0.0033217836,0.0045589823,0.006789704,0.0014223753,0.0024255915,0.005938237],"category_scores_gemma":[0.021080244,0.0006293332,0.0006482781,0.003253156,0.022848848,0.020182608,0.0077563585,0.0024279172,0.00051559316],"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":[0.00007502841,0.00005919458,0.0031408223,0.0003859131,0.000025315436,0.00091173255,0.74019927,0.0008589654,0.0010491591,0.2272654,0.0031615817,0.022867559],"study_design_scores_gemma":[0.000035985227,0.00010789274,0.0023309856,0.0010134381,0.000020527143,0.0009860554,0.6956401,0.0016299763,0.0009524866,0.1904526,0.106750004,0.000080017286],"about_ca_topic_score_codex":0.0017057484,"about_ca_topic_score_gemma":0.002730716,"teacher_disagreement_score":0.995441,"about_ca_system_score_codex":0.0020597568,"about_ca_system_score_gemma":0.0017912614,"threshold_uncertainty_score":0.08662218},"labels":[],"label_agreement":null},{"id":"W7119565111","doi":"","title":"From global trends to local realities: A multi-scale scenario-building methodology for community infrastructure planning","year":2025,"lang":"en","type":"article","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","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":"Futures contract; Bridging (networking); Circumpolar star; Citizen journalism; Consistency (knowledge bases); Process (computing); Stakeholder; Function (biology); Relevance (law); Local community","score_opus":0.04729763047011874,"score_gpt":0.35120340031776776,"score_spread":0.303905769847649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7119565111","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011120969,0.00009951598,0.97840935,0.0003632547,0.000023567698,0.00072253466,0.0004150438,0.00036594263,0.008479854],"genre_scores_gemma":[0.07504402,0.00008415627,0.92236084,0.000034696095,0.0000045171673,0.0012341543,0.00047918482,0.000101123704,0.00065735495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9935355,0.005238832,0.00026722427,0.00043228222,0.00038275807,0.00014334497],"domain_scores_gemma":[0.99196905,0.0059961267,0.00035372388,0.00092264405,0.00047510452,0.0002833477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009117923,0.0013702002,0.0005388057,0.0043012826,0.001877395,0.003785873,0.0024222983,0.0012918372,0.008563402],"category_scores_gemma":[0.012904604,0.00089322095,0.0021195272,0.004248109,0.0027355251,0.0042083682,0.0056724222,0.0018472035,0.0006968792],"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":[0.00014895154,0.0003168509,0.005544076,0.0015810155,0.0003077846,0.0021202269,0.06237388,0.18464927,0.0063207494,0.5383506,0.0064672516,0.19181938],"study_design_scores_gemma":[0.00013444104,0.0002225452,0.002880508,0.0011496858,0.00018346093,0.00084842765,0.04735569,0.3450607,0.0041266154,0.43602154,0.16183622,0.0001801269],"about_ca_topic_score_codex":0.004395979,"about_ca_topic_score_gemma":0.011797178,"teacher_disagreement_score":0.009117923,"about_ca_system_score_codex":0.0025164976,"about_ca_system_score_gemma":0.0029532195,"threshold_uncertainty_score":0.048220754},"labels":[],"label_agreement":null}]}