{"meta":{"query_hash":"dac1dc6a1e81","filters":{"venue":"Journal of Health Economics"},"cohort_total":138,"direct_labels_cover":0,"predictions_cover":138,"exported":138,"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/dac1dc6a1e81","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Health+Economics"},"results":[{"id":"W1176011688","doi":"10.1016/j.jhealeco.2015.08.004","title":"Mandatory universal drug plan, access to health care and health: Evidence from Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Medicine; Medical prescription; Health care; Prescription drug; Public health; Family medicine; Population; Environmental health; Health policy; Health insurance; Health plan; Nursing; Economic growth","score_opus":0.18826198620991494,"score_gpt":0.33838081120081165,"score_spread":0.1501188249908967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1176011688","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":[0.8771586,0.040356543,0.0003989286,0.019801624,0.00022030866,0.00029534881,0.029047802,0.000028179264,0.03269257],"genre_scores_gemma":[0.9741071,0.01377015,0.00047051752,0.002129796,0.0000742501,0.00004194371,0.005678356,0.000016508624,0.0037114327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99525875,0.0006692012,0.0003553767,0.00037718608,0.0020016248,0.0013379271],"domain_scores_gemma":[0.96767735,0.009257112,0.0060113673,0.00083323737,0.0121955685,0.0040253955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035952574,0.0005197681,0.0011319482,0.0030100874,0.003737797,0.0037012326,0.0024680991,0.0015885481,0.008301128],"category_scores_gemma":[0.02353151,0.00060080143,0.0014154426,0.010196578,0.002468199,0.0010717777,0.002071205,0.0020081229,0.00030456568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012557318,0.0003738731,0.9380043,0.0010881956,0.001561232,0.0004045357,0.0016268317,0.001409552,0.000114931274,0.005819905,0.02225147,0.026089426],"study_design_scores_gemma":[0.0005783921,0.00014165905,0.97113174,0.0012449436,0.0024795344,0.00013940806,0.005182456,0.0012687455,0.00023434656,0.0010193943,0.01647194,0.00010741863],"about_ca_topic_score_codex":0.99871325,"about_ca_topic_score_gemma":0.99924123,"teacher_disagreement_score":0.93523675,"about_ca_system_score_codex":0.06476324,"about_ca_system_score_gemma":0.13414727,"threshold_uncertainty_score":0.46989238},"labels":[],"label_agreement":null},{"id":"W1484806412","doi":"10.1016/j.jhealeco.2015.12.002","title":"Testing for changes in the SES-mortality gradient when the distribution of education changes too","year":2015,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Center for Health Statistics; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; U.S. Census Bureau; Carnegie Mellon University; U.S. Department of Education","keywords":"Microdata (statistics); Demography; Distribution (mathematics); Census; Mortality rate; Statistics; Geography; Medicine; Mathematics; Population; Sociology","score_opus":0.21178585165352992,"score_gpt":0.4153645749700051,"score_spread":0.2035787233164752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484806412","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":[0.9892426,0.00015187729,0.003531908,0.0018998362,0.0002274074,0.000045755958,0.0023153399,0.00005740199,0.002527894],"genre_scores_gemma":[0.9965114,0.000028201812,0.0010390275,0.00027182125,0.000044179662,0.000071706905,0.0010287234,0.000020397078,0.0009845005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98700047,0.0067408746,0.00073065405,0.0026158192,0.001113853,0.0017982773],"domain_scores_gemma":[0.96598357,0.025815064,0.0028819402,0.002725227,0.0010537513,0.0015404179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009686158,0.00078790996,0.00095235783,0.0009477459,0.0010552478,0.0019918375,0.0021268649,0.0019550389,0.010324741],"category_scores_gemma":[0.04662875,0.0002558827,0.0025818385,0.0019486072,0.0016026762,0.00289449,0.001514012,0.003923567,0.0010269837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017707578,0.0005944963,0.97888756,0.000065532324,0.0011499499,0.00040786486,0.00038606516,0.001082979,0.0011337125,0.0013101484,0.0020744589,0.011136681],"study_design_scores_gemma":[0.0002038766,0.002173927,0.9677636,0.000048545113,0.0010649464,0.0005942313,0.0032435267,0.015462958,0.001827573,0.0047546616,0.0028156228,0.00004649929],"about_ca_topic_score_codex":0.01512972,"about_ca_topic_score_gemma":0.010711494,"teacher_disagreement_score":0.01512972,"about_ca_system_score_codex":0.0005831698,"about_ca_system_score_gemma":0.0013830417,"threshold_uncertainty_score":0.0512259},"labels":[],"label_agreement":null},{"id":"W1514195908","doi":"10.1016/s0167-6296(02)00052-8","title":"Should we use willingness to pay to elicit community preferences for health care?","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; European Commission","keywords":"Willingness to pay; Preference; Ranking (information retrieval); Context (archaeology); Consistency (knowledge bases); Preference elicitation; Marginal utility; Contingent valuation; Health care; Economics; Actuarial science; Econometrics; Microeconomics; Mathematics; Computer science; Geography","score_opus":0.4395535978058941,"score_gpt":0.32759693611589263,"score_spread":0.11195666169000146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514195908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8526164,0.0012209798,0.09056274,0.039817523,0.00025239645,0.00014526455,0.00072533847,0.00009280994,0.014566584],"genre_scores_gemma":[0.99213564,0.00020126921,0.0061946553,0.0008750068,0.00007618175,0.000057763777,0.000098957265,0.000009989441,0.0003505041],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9894504,0.008992425,0.00028780985,0.0003332939,0.0005407684,0.00039529763],"domain_scores_gemma":[0.89506966,0.092052326,0.004927779,0.0032565538,0.003075059,0.0016186491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01711271,0.0008415911,0.0013788864,0.0015284198,0.0005823758,0.0034610694,0.0013266766,0.0047148233,0.006354086],"category_scores_gemma":[0.16593723,0.0005050198,0.0009769561,0.002935933,0.0021274125,0.008097367,0.0011810407,0.0029646491,0.00053873175],"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":[0.0037615357,0.0030392536,0.44202462,0.0012863519,0.0024887107,0.00084128627,0.003955385,0.06597057,0.001787736,0.1778214,0.012929818,0.28409338],"study_design_scores_gemma":[0.00056095753,0.00064007787,0.05980556,0.00023010567,0.0003642382,0.0004405677,0.005731485,0.17671512,0.0011881678,0.75075626,0.0033703141,0.00019714891],"about_ca_topic_score_codex":0.003836146,"about_ca_topic_score_gemma":0.0039570965,"teacher_disagreement_score":0.01711271,"about_ca_system_score_codex":0.0010335462,"about_ca_system_score_gemma":0.0010293934,"threshold_uncertainty_score":0.090501785},"labels":[],"label_agreement":null},{"id":"W1841661235","doi":"10.1016/j.jhealeco.2015.03.005","title":"Peer effects, fast food consumption and adolescent weight gain","year":2015,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Center for Interuniversity Research and Analysis on Organizations","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Friendship; Consumption (sociology); Structural equation modeling; Psychology; Multiplier (economics); Social network (sociolinguistics); Peer group; Econometrics; Computer science; Developmental psychology; Social psychology; Mathematics; Statistics; Economics; Social media; Sociology","score_opus":0.043976953591940794,"score_gpt":0.3048461763931571,"score_spread":0.26086922280121627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1841661235","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":[0.99531543,0.0019077113,0.000046092813,0.0005025203,0.000043251945,0.000007693075,0.00008614047,0.000004210274,0.002086924],"genre_scores_gemma":[0.9976482,0.0008836669,0.00007719857,0.000048476744,0.00005714027,0.000007335644,0.00005468151,0.0000031538657,0.0012202386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995443,0.00019885892,0.000024552042,0.000056274515,0.00010044309,0.000075490214],"domain_scores_gemma":[0.996479,0.0013645361,0.0008406423,0.00014662299,0.00018919981,0.0009799881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000686774,0.00030796116,0.00032439874,0.0005567693,0.00065348233,0.0009574836,0.00032259978,0.0009599257,0.0062943147],"category_scores_gemma":[0.0059154783,0.0003172262,0.0005337157,0.0004556626,0.0003376825,0.0005397836,0.0006237981,0.0009799303,0.00031999702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047925074,0.00097023573,0.9843412,0.000049570837,0.00027440087,0.00028041052,0.00046124094,0.00009692512,0.0004352599,0.00033105531,0.00036050982,0.011919908],"study_design_scores_gemma":[0.00001816493,0.0001822032,0.9982791,0.000015356625,0.00013729975,0.00010789049,0.00047529777,0.00021744941,0.000052220817,0.00011744441,0.0003930895,0.0000045189877],"about_ca_topic_score_codex":0.014562543,"about_ca_topic_score_gemma":0.022489365,"teacher_disagreement_score":0.014562543,"about_ca_system_score_codex":0.00035505273,"about_ca_system_score_gemma":0.0005354385,"threshold_uncertainty_score":0.028955579},"labels":[],"label_agreement":null},{"id":"W18778862","doi":"10.1016/j.jhealeco.2008.07.010","title":"Modularization of Saab EDS ground products","year":2012,"lang":"en","type":"dissertation","venue":"Journal of Health Economics","topic":"Product Development and Customization","field":"Business, Management and Accounting","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":"Modular programming; Computer science; Programming language","score_opus":0.021168486729087315,"score_gpt":0.23842920628557057,"score_spread":0.21726071955648327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W18778862","genre_codex":"empirical","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":[0.94228315,0.00034473953,0.017982237,0.00024919593,0.000040076673,0.00036285797,0.0008164619,0.0008841497,0.03703706],"genre_scores_gemma":[0.9626051,0.00011914333,0.023160702,0.000042261792,0.00001702456,0.00007759617,0.0010769011,0.00010578824,0.012795514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981863,0.0003094232,0.0000862082,0.00031354086,0.0007344397,0.00037013105],"domain_scores_gemma":[0.99505204,0.00094521855,0.0008405697,0.0014638596,0.0012621406,0.00043627483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018010074,0.0005463879,0.00024660077,0.002077301,0.000783048,0.0022617832,0.000999644,0.00050230155,0.017559024],"category_scores_gemma":[0.0069580707,0.00040753194,0.0006860537,0.0016519411,0.00092243287,0.0019007962,0.0011261035,0.0004301811,0.002743435],"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":[0.0014290806,0.0012040879,0.2135789,0.00040777356,0.00014302626,0.00068709406,0.0019146918,0.084702976,0.040198833,0.033703588,0.0070229173,0.6150071],"study_design_scores_gemma":[0.00024587888,0.004067802,0.5842627,0.000365757,0.00019481494,0.0011024583,0.0037770171,0.1963307,0.03408476,0.01886712,0.1565198,0.00018107372],"about_ca_topic_score_codex":0.022625467,"about_ca_topic_score_gemma":0.023854345,"teacher_disagreement_score":0.022625467,"about_ca_system_score_codex":0.0032166417,"about_ca_system_score_gemma":0.0019328514,"threshold_uncertainty_score":0.058740795},"labels":[],"label_agreement":null},{"id":"W1964447260","doi":"10.1016/j.jhealeco.2010.10.007","title":"The evolution of health outcomes from childhood to adolescence","year":2010,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Panel Study of Income Dynamics; Psychology; Descriptive statistics; Persistence (discontinuity); Adolescent health; Demography; Developmental psychology; Gerontology; Demographic economics; Sociology; Medicine; Economics","score_opus":0.024434770266383063,"score_gpt":0.33316742508103686,"score_spread":0.3087326548146538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964447260","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":[0.99394023,0.0012723616,0.0002638618,0.0011620115,0.000020022562,0.0000055002797,0.00055835786,0.000012497567,0.0027652823],"genre_scores_gemma":[0.9988953,0.00046902828,0.00006909806,0.00004066333,0.000007083081,0.0000027238732,0.00016371813,0.000005134704,0.00034733576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995846,0.00011083538,0.00001810042,0.00008941863,0.000044824184,0.00015225774],"domain_scores_gemma":[0.99765766,0.00073136395,0.0006193542,0.00016228178,0.0004411028,0.00038823005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010108035,0.00015465937,0.00020098692,0.0013486602,0.0006336962,0.0016333807,0.00039947993,0.00063166174,0.0033416045],"category_scores_gemma":[0.006638229,0.00026476264,0.00039522102,0.0010636491,0.00061895995,0.00087139517,0.0010465098,0.0010715965,0.00032294536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023488136,0.00011763039,0.96559095,0.000040490748,0.00012314881,0.00022042199,0.0030684276,0.0007691444,0.0015869415,0.0052847783,0.0008887774,0.02207444],"study_design_scores_gemma":[0.0000021267517,0.000027420654,0.99689144,0.000026691461,0.000016898917,0.00009707421,0.00084351166,0.00026479416,0.0002020387,0.00057476625,0.0010479067,0.0000053297163],"about_ca_topic_score_codex":0.03220402,"about_ca_topic_score_gemma":0.030565731,"teacher_disagreement_score":0.03220402,"about_ca_system_score_codex":0.00085646077,"about_ca_system_score_gemma":0.00096938334,"threshold_uncertainty_score":0.06403315},"labels":[],"label_agreement":null},{"id":"W1967537161","doi":"10.1016/j.jhealeco.2004.02.001","title":"Socio-economic status, health and lifestyle","year":2004,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":387,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Economic and Social Research Council","keywords":"Unobservable; Endogeneity; Multivariate probit model; Probit model; Consumption (sociology); Ordered probit; Econometrics; Epidemiology; Economics; Panel data; Economic model; Alcohol consumption; Multivariate statistics; Probit; Actuarial science; Environmental health; Medicine; Statistics; Mathematics; Microeconomics","score_opus":0.05106724856112078,"score_gpt":0.4343002055595932,"score_spread":0.38323295699847243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967537161","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":[0.97218895,0.008953724,0.00010119388,0.0068955375,0.00014131806,0.000012096817,0.0005370905,0.0000046235937,0.011165546],"genre_scores_gemma":[0.9946641,0.003112476,0.00005549697,0.0002920055,0.00016718646,0.000005706666,0.00012694456,0.0000015104699,0.0015745037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973804,0.00011741656,0.000017186921,0.000016270635,0.000045907025,0.00006521929],"domain_scores_gemma":[0.9990416,0.00024670264,0.00018461463,0.000026681873,0.00006871611,0.00043162252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046978836,0.00017377183,0.0002756912,0.0010114348,0.0008572351,0.0011089657,0.00023134294,0.00077826803,0.006611286],"category_scores_gemma":[0.0018171518,0.00016894666,0.00033503282,0.0015025738,0.000645913,0.0007690522,0.000590133,0.00069977116,0.000446652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019246299,0.0005626865,0.9798891,0.000060446797,0.00015354925,0.0003202937,0.0008223412,0.000082536644,0.0001881244,0.0017945042,0.0013068251,0.014627159],"study_design_scores_gemma":[0.000009604779,0.00012282995,0.99618274,0.000031286843,0.000045148965,0.00010823797,0.0012297846,0.00009496072,0.000014964107,0.0007909346,0.0013629174,0.000006548791],"about_ca_topic_score_codex":0.02134879,"about_ca_topic_score_gemma":0.04753929,"teacher_disagreement_score":0.02134879,"about_ca_system_score_codex":0.000444656,"about_ca_system_score_gemma":0.0006621608,"threshold_uncertainty_score":0.042448997},"labels":[],"label_agreement":null},{"id":"W1968616336","doi":"10.1016/j.jhealeco.2012.02.004","title":"Pricing of drugs with heterogeneous health insurance coverage","year":2012,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Market segmentation; Competition (biology); Business; Brand loyalty; Health insurance; Brand names; Price discrimination; First-mover advantage; Product differentiation; Segmentation; Economics; Microeconomics; Marketing; Health care; Computer science","score_opus":0.059672437391580846,"score_gpt":0.3060569529771553,"score_spread":0.24638451558557445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968616336","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":[0.881001,0.00457557,0.083788745,0.010281209,0.00031520936,0.00033740743,0.0013169049,0.00019304514,0.01819091],"genre_scores_gemma":[0.99378526,0.0004440497,0.0026181303,0.00022740483,0.0002781563,0.000032592307,0.00022327562,0.000017297365,0.0023739068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9938599,0.0032831233,0.0002930276,0.00063379644,0.0008959528,0.0010342399],"domain_scores_gemma":[0.9584273,0.03407995,0.0034113158,0.0014043719,0.00077699294,0.0019000988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008339828,0.001236872,0.00398956,0.001964355,0.00070836634,0.007937352,0.0037949514,0.004770307,0.009263618],"category_scores_gemma":[0.04506504,0.0013738535,0.0025641066,0.0020442808,0.0026432676,0.005012158,0.0017175972,0.0029798085,0.0004899853],"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":[0.004259354,0.00096165965,0.026968263,0.00039332482,0.0017786735,0.0032402095,0.00028043895,0.58414876,0.0021343043,0.3232106,0.008410794,0.044213634],"study_design_scores_gemma":[0.000962676,0.00057397864,0.012608814,0.00007402851,0.0006212203,0.0008756509,0.00027179276,0.81884694,0.0007288717,0.16257593,0.0017475404,0.00011247113],"about_ca_topic_score_codex":0.0031225216,"about_ca_topic_score_gemma":0.0020646644,"teacher_disagreement_score":0.009263618,"about_ca_system_score_codex":0.0031444093,"about_ca_system_score_gemma":0.0011244173,"threshold_uncertainty_score":0.04410571},"labels":[],"label_agreement":null},{"id":"W1982487148","doi":"10.1016/j.jhealeco.2004.12.001","title":"Information asymmetry, insurance, and the decision to hospitalize","year":2005,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"HEC Montréal; Swenson College of Science and Engineering, University of Minnesota Duluth; National University of Singapore; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Actuarial science; Information asymmetry; Health insurance; Business; Economics; Health care; Finance","score_opus":0.023441441518361642,"score_gpt":0.26998378508680215,"score_spread":0.24654234356844051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982487148","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":[0.91966397,0.0071309702,0.005761021,0.045090593,0.00018667281,0.00005995997,0.0010077829,0.000038102444,0.021060959],"genre_scores_gemma":[0.9980763,0.0005940622,0.00010838457,0.00044447504,0.00015603821,0.0000035605813,0.000051467232,0.000002417055,0.00056327693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806076,0.00076547754,0.00012987317,0.00011599632,0.00022039519,0.0007074499],"domain_scores_gemma":[0.9436092,0.041002184,0.010714504,0.0008960067,0.0007356825,0.0030425088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059036287,0.00024172205,0.00081408,0.0010687312,0.000672705,0.0036783987,0.0006894479,0.004391765,0.009456488],"category_scores_gemma":[0.03498718,0.00033950727,0.000674153,0.0010155854,0.001884406,0.0024953042,0.000926346,0.002940013,0.0003555703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011234239,0.0019190221,0.41883975,0.0003855205,0.00094671897,0.0037618072,0.0014690252,0.06540536,0.0024539868,0.36402208,0.02510589,0.10445661],"study_design_scores_gemma":[0.0014070385,0.0010278241,0.19106913,0.000266027,0.0006670898,0.0024723408,0.0028155523,0.0911291,0.0010795394,0.6986633,0.009169901,0.00023311416],"about_ca_topic_score_codex":0.00727833,"about_ca_topic_score_gemma":0.0069115777,"teacher_disagreement_score":0.009456488,"about_ca_system_score_codex":0.0023525245,"about_ca_system_score_gemma":0.0018104815,"threshold_uncertainty_score":0.031635106},"labels":[],"label_agreement":null},{"id":"W1983189449","doi":"10.1016/j.jhealeco.2008.05.006","title":"Do physician remuneration schemes matter? The case of Canadian family physicians","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":147,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Ottawa","funders":"Health Canada; College of Family Physicians of Canada; Royal College of Physicians and Surgeons of Canada","keywords":"Remuneration; Incentive; Actuarial science; Business; Affect (linguistics); Selection (genetic algorithm); Demographic economics; Medicine; Economics; Psychology; Microeconomics; Finance; Computer science","score_opus":0.08827571038588504,"score_gpt":0.2799792889880512,"score_spread":0.19170357860216614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983189449","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":[0.48929793,0.008165525,0.00023673593,0.37251946,0.00029321073,0.00008643785,0.00061894377,0.000014248738,0.12876754],"genre_scores_gemma":[0.9809302,0.0018632035,0.000095661526,0.010875814,0.00014825648,0.000012196251,0.000064747466,0.000006143923,0.0060037007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.98890615,0.001609352,0.00016858394,0.00040582955,0.0017373112,0.0071728504],"domain_scores_gemma":[0.97124803,0.010290051,0.0027655626,0.00046689264,0.0057733953,0.009456068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007865029,0.00035075494,0.0010714802,0.0018783638,0.021189302,0.008871385,0.0032142883,0.012573684,0.009544201],"category_scores_gemma":[0.036573768,0.00045019563,0.00088054664,0.004390358,0.007857532,0.002509768,0.0021052863,0.007919652,0.00038270577],"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":[0.0013265315,0.00076684967,0.21028861,0.00031869963,0.0003095473,0.011430811,0.04162227,0.006334416,0.0006339806,0.5083155,0.15666978,0.061982986],"study_design_scores_gemma":[0.0011183536,0.00028295428,0.39050543,0.0012854231,0.00078793167,0.002921352,0.22497611,0.010159592,0.0006646177,0.09317603,0.27357486,0.0005474266],"about_ca_topic_score_codex":0.9864281,"about_ca_topic_score_gemma":0.9918282,"teacher_disagreement_score":0.11006717,"about_ca_system_score_codex":0.11006717,"about_ca_system_score_gemma":0.1240281,"threshold_uncertainty_score":0.7985969},"labels":[],"label_agreement":null},{"id":"W1984160187","doi":"10.1016/j.jhealeco.2008.07.008","title":"Effect of public long-term care insurance on consumption, medical care demand, and welfare","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Crowds; Consumption (sociology); Welfare; Public economics; Business; Health care; Long-term care; Long-term care insurance; Public health; Goods and services; Social Welfare; Actuarial science; Medical care; Demographic economics; Economics; Economic growth; Medicine; Nursing","score_opus":0.020256981260166593,"score_gpt":0.27125514516278215,"score_spread":0.25099816390261553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984160187","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":[0.99619126,0.00041709284,0.000046723675,0.0011715046,0.00002519217,0.000009732493,0.0007070202,0.000010951702,0.0014205467],"genre_scores_gemma":[0.99718934,0.00013476922,0.000035533263,0.00015840807,0.00004368778,0.000009595266,0.00045018134,0.0000046792056,0.001973835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987425,0.00047014141,0.000050099654,0.00010104149,0.000088713154,0.0005475533],"domain_scores_gemma":[0.9803423,0.011767091,0.0023987321,0.0006436507,0.0005025583,0.0043456354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002474123,0.00039829264,0.0006960598,0.0005968402,0.0009747076,0.0018218965,0.0008518391,0.002429455,0.012614445],"category_scores_gemma":[0.010027241,0.00054603675,0.0022537475,0.0008796376,0.0008913573,0.0010360912,0.00127239,0.0026176437,0.00085027114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0095835775,0.0028844874,0.9779846,0.0000372993,0.0006591682,0.00029220924,0.00023615199,0.0017814938,0.0005574718,0.0005444284,0.001024548,0.0044145915],"study_design_scores_gemma":[0.00021660607,0.00076584646,0.99395615,0.000013248487,0.0005021076,0.00007654474,0.000531212,0.0027103196,0.00024158947,0.00038484947,0.00058222923,0.000019306053],"about_ca_topic_score_codex":0.0716875,"about_ca_topic_score_gemma":0.073083214,"teacher_disagreement_score":0.0716875,"about_ca_system_score_codex":0.0021110203,"about_ca_system_score_gemma":0.0022622773,"threshold_uncertainty_score":0.14254045},"labels":[],"label_agreement":null},{"id":"W1986107046","doi":"10.1016/j.jhealeco.2013.12.003","title":"Managing genetic tests, surveillance, and preventive medicine under a public health insurance system","year":2014,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Augsburg University; Fondation Brocher","keywords":"Genetic testing; Genetic predisposition; Disease; Moral hazard; Public health; Actuarial science; Perspective (graphical); Medicine; Health care; Hazard; Business; Computer science; Economics; Pathology; Economic growth; Biology","score_opus":0.26910438207029275,"score_gpt":0.40437749752150476,"score_spread":0.135273115451212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986107046","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":[0.80110544,0.0032916307,0.017867288,0.16059598,0.0004435333,0.00027678383,0.0012378758,0.000079954676,0.015101541],"genre_scores_gemma":[0.99489117,0.00049751473,0.002023811,0.001488985,0.00042056228,0.00004188118,0.000092846065,0.000004007793,0.0005392278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98717344,0.0077326624,0.0005538971,0.0010583741,0.000929192,0.0025524125],"domain_scores_gemma":[0.95464534,0.026440492,0.008874931,0.0011740864,0.0017360727,0.0071291816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018984126,0.00040800287,0.0012795024,0.0013618201,0.002195795,0.006637147,0.0023069629,0.004770581,0.0037475186],"category_scores_gemma":[0.04692191,0.0006768106,0.0006358754,0.001354679,0.0022145093,0.004165287,0.0033147784,0.002696802,0.00017267904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017163657,0.0033987702,0.52052224,0.00034643992,0.00202443,0.0029937546,0.0015761106,0.17926392,0.0018737502,0.16095378,0.026957972,0.098372556],"study_design_scores_gemma":[0.0011498637,0.0023625686,0.24720144,0.00047985447,0.0013716029,0.0014015381,0.006896307,0.40575305,0.0013160113,0.31461877,0.017202394,0.00024664382],"about_ca_topic_score_codex":0.0231964,"about_ca_topic_score_gemma":0.023301031,"teacher_disagreement_score":0.0231964,"about_ca_system_score_codex":0.009750666,"about_ca_system_score_gemma":0.015080501,"threshold_uncertainty_score":0.10039884},"labels":[],"label_agreement":null},{"id":"W1986829511","doi":"10.1016/s0167-6296(00)00058-8","title":"Does the economics of moral hazard need to be revisited? A comment on the paper by John Nyman","year":2001,"lang":"en","type":"letter","venue":"Journal of Health Economics","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Moral hazard; Economics; Positive economics; Actuarial science; Law and economics; Microeconomics; Incentive","score_opus":0.05133217029296365,"score_gpt":0.24513003461221286,"score_spread":0.19379786431924922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986829511","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010144504,0.0005677373,0.00007281526,0.99456847,0.0033387654,0.0000030137537,0.000025550642,0.0000044194576,0.0013177787],"genre_scores_gemma":[0.0017192658,0.00045688933,0.0000844879,0.9826601,0.011681222,0.000017154971,0.00000940388,0.000015122933,0.0033562833],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9879941,0.0037013434,0.0010266204,0.0018270753,0.0039407997,0.0015099585],"domain_scores_gemma":[0.9277495,0.057632647,0.0029928428,0.0013815017,0.007428864,0.002814601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01816139,0.0013166124,0.0035461648,0.0016392096,0.008366251,0.011927002,0.007711759,0.14898849,0.011312442],"category_scores_gemma":[0.088820636,0.0017217376,0.0028519267,0.0019158716,0.012688477,0.014691708,0.0039132377,0.11343064,0.0069005536],"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":[0.000060290575,0.000023341137,0.0002778425,0.00007800803,0.000025639625,0.0003981319,0.00040177413,0.00008934118,0.00006843111,0.04433125,0.95169985,0.0025460704],"study_design_scores_gemma":[0.00030511245,0.0000493234,0.0017881719,0.0009465889,0.00011412794,0.00039013388,0.0017648337,0.0009947541,0.00038644313,0.116287515,0.8767619,0.00021110933],"about_ca_topic_score_codex":0.051985294,"about_ca_topic_score_gemma":0.06321366,"teacher_disagreement_score":0.14898849,"about_ca_system_score_codex":0.009116139,"about_ca_system_score_gemma":0.012421966,"threshold_uncertainty_score":0.10336542},"labels":[],"label_agreement":null},{"id":"W1987752822","doi":"10.1016/j.jhealeco.2009.11.008","title":"Progress and compliance in alcohol abuse treatment","year":2009,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; Agency for Healthcare Research and Quality; National Health Research Institutes; University of New South Wales","keywords":"Compliance (psychology); Medicine; Medical prescription; Alcohol abuse; Drop out; Substance abuse treatment; Patient compliance; Set (abstract data type); Substance abuse; Medical emergency; Psychiatry; Family medicine; Psychology; Nursing; Social psychology","score_opus":0.17220241306681258,"score_gpt":0.3569711693837812,"score_spread":0.18476875631696862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987752822","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":[0.9864575,0.0014627324,0.0002695229,0.0074871294,0.00006456901,0.000029372744,0.00081796915,0.000018256014,0.0033928398],"genre_scores_gemma":[0.998168,0.0003285588,0.00007917686,0.00015501778,0.0000731513,0.000007958583,0.00032892908,0.000004694853,0.0008544257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943269,0.0028020702,0.0007762912,0.00031852757,0.000761198,0.0010150715],"domain_scores_gemma":[0.8818151,0.05318702,0.043404453,0.0034213644,0.008066847,0.010105191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011198768,0.00020865777,0.00087657286,0.002032304,0.0010164464,0.0024224068,0.0009273801,0.002617096,0.0060711484],"category_scores_gemma":[0.07916377,0.00034307883,0.0010805653,0.003065956,0.0013883085,0.002854199,0.0015244561,0.0041993456,0.00057258556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083880534,0.0006503894,0.9843721,0.000045817156,0.00014533388,0.00014740028,0.0005842941,0.0015982902,0.000052775726,0.00166094,0.0006554561,0.009248421],"study_design_scores_gemma":[0.000063660555,0.00061229727,0.9871759,0.000085568696,0.00014202185,0.00024822942,0.0018367823,0.0053880364,0.00019795219,0.0032528385,0.00097269384,0.000024040288],"about_ca_topic_score_codex":0.03590859,"about_ca_topic_score_gemma":0.020282032,"teacher_disagreement_score":0.03590859,"about_ca_system_score_codex":0.002076871,"about_ca_system_score_gemma":0.0033878458,"threshold_uncertainty_score":0.07139915},"labels":[],"label_agreement":null},{"id":"W1988144862","doi":"10.1016/s0167-6296(01)00077-7","title":"Balancing incentives in the compensation contracts of nonprofit hospital CEOs","year":2001,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Incentive; Executive compensation; Corporate governance; Principal–agent problem; Business; Variance (accounting); Earnings; Agency (philosophy); Compensation (psychology); Agency cost; Principal (computer security); Accounting; Earnings management; Actuarial science; Finance; Economics; Microeconomics; Shareholder","score_opus":0.02062586488756789,"score_gpt":0.23235076407466462,"score_spread":0.21172489918709672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988144862","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":[0.8805467,0.0013175645,0.010446438,0.019917289,0.00028486832,0.00021509654,0.000089196845,0.000039930954,0.0871429],"genre_scores_gemma":[0.9951944,0.00008499976,0.00049610523,0.00035201464,0.000068151465,0.000020106743,0.000010330992,0.0000044459407,0.0037694846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9787718,0.011834349,0.0009585347,0.0006373898,0.0031149753,0.004682984],"domain_scores_gemma":[0.9316001,0.04397216,0.0083489595,0.0016943091,0.006597008,0.0077874325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024518793,0.00038036032,0.0007839862,0.0009932437,0.0029901522,0.00884909,0.0013316447,0.0057470277,0.00793638],"category_scores_gemma":[0.09023278,0.0006000635,0.00034978354,0.00078981667,0.0021623743,0.0035248436,0.0025070726,0.003041809,0.0005409497],"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":[0.002479144,0.0010286444,0.068217896,0.00020547111,0.0001509711,0.0011941425,0.0065993527,0.04830206,0.004913302,0.71230316,0.01919042,0.13541538],"study_design_scores_gemma":[0.0010653015,0.0011615077,0.10324312,0.0003851879,0.00018796006,0.0007644976,0.013928666,0.117910765,0.0030944636,0.7010928,0.05687831,0.00028754692],"about_ca_topic_score_codex":0.004640956,"about_ca_topic_score_gemma":0.010104867,"teacher_disagreement_score":0.024518793,"about_ca_system_score_codex":0.006273739,"about_ca_system_score_gemma":0.009501717,"threshold_uncertainty_score":0.12966931},"labels":[],"label_agreement":null},{"id":"W1988692886","doi":"10.1016/j.jhealeco.2005.03.008","title":"Social networks and health service utilization","year":2005,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":224,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Health care; Business; Context (archaeology); Population; Exploit; Work (physics); Public economics; Service (business); Health policy; Affect (linguistics); Actuarial science; Public health; Public relations; Psychology; Nursing; Environmental health; Medicine; Marketing; Computer science; Economics; Economic growth; Computer security; Political science; Geography","score_opus":0.19233763472986856,"score_gpt":0.40705250507765206,"score_spread":0.2147148703477835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988692886","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":[0.9936265,0.0011649496,0.00006571441,0.0021616009,0.000023197865,0.0000075618605,0.00021370866,0.0000019070573,0.0027348616],"genre_scores_gemma":[0.99891305,0.00056071277,0.000028139324,0.00007367587,0.000036075384,0.0000052496007,0.00007553735,0.0000016185573,0.00030594258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895144,0.00060333416,0.00006118498,0.000059274807,0.00011370429,0.00021093937],"domain_scores_gemma":[0.9893087,0.0052999617,0.0024358858,0.00025507557,0.00048505116,0.0022151791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014855773,0.00020703847,0.00027012583,0.001806092,0.001281394,0.0016988605,0.000539538,0.0010835573,0.004957816],"category_scores_gemma":[0.011058328,0.00031240072,0.0004674245,0.0024209265,0.00078675,0.0013258171,0.0012011771,0.0012556285,0.00022735182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093878174,0.00033685195,0.99230814,0.000015725062,0.00016866629,0.00007016187,0.00089414837,0.00017828628,0.000025224786,0.0010391243,0.00037000026,0.0044997237],"study_design_scores_gemma":[0.000015171887,0.00007770773,0.991939,0.000045326,0.00011548533,0.000111188325,0.004469028,0.00093393994,0.000025213407,0.001420718,0.0008371433,0.000010032127],"about_ca_topic_score_codex":0.034060642,"about_ca_topic_score_gemma":0.04850345,"teacher_disagreement_score":0.034060642,"about_ca_system_score_codex":0.0010509809,"about_ca_system_score_gemma":0.0009190693,"threshold_uncertainty_score":0.067724824},"labels":[],"label_agreement":null},{"id":"W1990545226","doi":"10.1016/j.jhealeco.2014.02.002","title":"Preventing dengue through mobile phones: Evidence from a field experiment in Peru","year":2014,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Dengue fever; Environmental health; Latin Americans; Medicine; Demography; Intervention (counseling); Geography; Virology; Political science","score_opus":0.05967642157050499,"score_gpt":0.3026233057522337,"score_spread":0.2429468841817287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990545226","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":[0.9968118,0.00020060859,0.00043900806,0.000604615,0.000013882577,0.00027303147,0.0001777463,0.000010911805,0.001468416],"genre_scores_gemma":[0.99746287,0.000491983,0.00067568116,0.00032424513,0.00001754269,0.00039822838,0.0001480703,0.000003052771,0.00047829855],"study_design_codex":"observational","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9950014,0.0041263863,0.00011866024,0.00028425182,0.00014651354,0.0003229022],"domain_scores_gemma":[0.98328775,0.012533133,0.0019738146,0.0009406225,0.00062891736,0.0006358331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051485524,0.0007819154,0.00058330124,0.00040813943,0.000947992,0.0008265781,0.00072949217,0.0015374874,0.0044137724],"category_scores_gemma":[0.014645381,0.0003626884,0.00068178517,0.0005879959,0.0018991911,0.0012927417,0.0009728062,0.0013120689,0.0004683381],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04605251,0.2257255,0.5295721,0.0052446164,0.005140619,0.0020204089,0.019905273,0.002742117,0.017984575,0.004217304,0.00904956,0.13234547],"study_design_scores_gemma":[0.02040659,0.33633938,0.587373,0.0011977105,0.005223635,0.00082469016,0.019768154,0.0052025258,0.0078057535,0.005333051,0.010354354,0.00017117645],"about_ca_topic_score_codex":0.0103849815,"about_ca_topic_score_gemma":0.010140577,"teacher_disagreement_score":0.0103849815,"about_ca_system_score_codex":0.0006977737,"about_ca_system_score_gemma":0.0010272674,"threshold_uncertainty_score":0.027228415},"labels":[],"label_agreement":null},{"id":"W1993135514","doi":"10.1016/j.jhealeco.2003.08.001","title":"An optimal contract approach to hospital financing","year":2003,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Office of Science","keywords":"Remuneration; Payment; Business; Finance; Public hospital; High tech; Agency (philosophy); Service (business); Medicine; Nursing; Marketing","score_opus":0.05520294579256156,"score_gpt":0.2874505565623546,"score_spread":0.232247610769793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993135514","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":[0.045626882,0.003304518,0.75817114,0.044635244,0.0009163779,0.00062677613,0.00090914813,0.00025467787,0.14555523],"genre_scores_gemma":[0.8429132,0.0033874642,0.09708254,0.0016034541,0.0018135342,0.0006051907,0.00033792426,0.00014798169,0.05210873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948913,0.0031472405,0.00018987023,0.00047223986,0.00082736515,0.000471967],"domain_scores_gemma":[0.9918669,0.0055284724,0.00046210468,0.0004257049,0.0010096807,0.00070719444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062578632,0.0012306864,0.002420665,0.0017837697,0.001603251,0.005522402,0.0035543765,0.0067638927,0.0144907655],"category_scores_gemma":[0.022328274,0.001947135,0.0016132463,0.001921182,0.0036662142,0.0070359004,0.0025842807,0.005134174,0.00071367866],"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":[0.000061519226,0.00012286252,0.00030896824,0.00008286287,0.000037386602,0.00012312291,0.00012322205,0.05982543,0.00011631059,0.92215174,0.006711586,0.010334964],"study_design_scores_gemma":[0.00010790532,0.00004124036,0.00023762444,0.000057043246,0.000034885168,0.0000765226,0.00009308604,0.15490472,0.00007955976,0.8386367,0.005708828,0.000021868298],"about_ca_topic_score_codex":0.008325702,"about_ca_topic_score_gemma":0.0050109923,"teacher_disagreement_score":0.0144907655,"about_ca_system_score_codex":0.006594337,"about_ca_system_score_gemma":0.007040496,"threshold_uncertainty_score":0.048476398},"labels":[],"label_agreement":null},{"id":"W1993784559","doi":"10.1016/s0167-6296(02)00080-2","title":"Inequalities in self-reported health: validation of a new approach to measurement","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":438,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Inequality; Statistics; Ordinal regression; Econometrics; Scale (ratio); Ordered probit; Confidence interval; Index (typography); Cardinality (data modeling); Regression; Mathematics; Probit model; Medicine; Computer science; Geography; Data mining","score_opus":0.31672112099604427,"score_gpt":0.3827192047729901,"score_spread":0.06599808377694583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993784559","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":[0.6843235,0.0023552103,0.2668926,0.0048619737,0.0012523192,0.0037183813,0.0050245565,0.00016019461,0.031411167],"genre_scores_gemma":[0.89594674,0.0007015077,0.09427299,0.0009447766,0.00033754512,0.0052030026,0.0012476613,0.000074415475,0.0012712764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9103226,0.05725711,0.006365411,0.0064137084,0.018540034,0.0011011903],"domain_scores_gemma":[0.7488885,0.20034704,0.009491832,0.021626726,0.018666381,0.0009795045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07805104,0.0008465815,0.0011154462,0.002140296,0.0017726852,0.0031845595,0.0023457578,0.0027087696,0.0017410525],"category_scores_gemma":[0.20515664,0.0005300069,0.0019316807,0.0022978694,0.003696351,0.003103899,0.0047508306,0.0036744778,0.00040566095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014900875,0.001717084,0.7580215,0.0008537514,0.00181336,0.00008208688,0.010271576,0.004241572,0.0024551686,0.052028086,0.0042135594,0.16281231],"study_design_scores_gemma":[0.0005443727,0.0033195058,0.8741665,0.0008139416,0.0013032376,0.00040816347,0.0044971243,0.032940418,0.0048997444,0.057478216,0.019283175,0.0003456844],"about_ca_topic_score_codex":0.009464429,"about_ca_topic_score_gemma":0.011368025,"teacher_disagreement_score":0.07805104,"about_ca_system_score_codex":0.001886744,"about_ca_system_score_gemma":0.0030827231,"threshold_uncertainty_score":0.41277826},"labels":[],"label_agreement":null},{"id":"W1996676585","doi":"10.1016/j.jhealeco.2010.08.007","title":"Do they care too much to work? The influence of caregiving intensity on the labour force participation of unpaid caregivers in Canada","year":2010,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":152,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Unpaid work; Labour supply; Labour economics; Work (physics); Demographic economics; Paid work; Economics; Cohort; Working hours; Medicine","score_opus":0.015806557706736408,"score_gpt":0.27916914720433117,"score_spread":0.2633625894975948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996676585","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":[0.9958621,0.00085641164,0.000023798515,0.0011453019,0.000017385215,0.00001787709,0.0005664375,0.0000020808222,0.0015086479],"genre_scores_gemma":[0.9977323,0.0007222036,0.000045823883,0.00014089693,0.0000060019584,0.0000074447235,0.00028245428,0.0000035438413,0.0010593516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975189,0.00030698354,0.00010309909,0.00018408133,0.00048264672,0.0014042625],"domain_scores_gemma":[0.9936418,0.00066265615,0.0010083276,0.00013309512,0.0020692123,0.0024848646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015118993,0.0005277301,0.0009978884,0.0014770441,0.0071945232,0.0034582615,0.0027950038,0.0011411199,0.0041943374],"category_scores_gemma":[0.0071834223,0.00057711895,0.0010774739,0.004261829,0.0018588904,0.00082288374,0.0022275036,0.0022341753,0.00025932904],"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":[0.0004477055,0.0001894537,0.9743569,0.000057815665,0.00011968116,0.00031889544,0.012505394,0.00033392233,0.00019530157,0.0007783176,0.0019512499,0.008745388],"study_design_scores_gemma":[0.000029334382,0.000044287597,0.96930367,0.00010945293,0.0000552392,0.000069764596,0.028386507,0.00046969825,0.000050588344,0.00013477661,0.0013104931,0.000036186633],"about_ca_topic_score_codex":0.99850106,"about_ca_topic_score_gemma":0.9993211,"teacher_disagreement_score":0.07509926,"about_ca_system_score_codex":0.07509926,"about_ca_system_score_gemma":0.09855925,"threshold_uncertainty_score":0.5448858},"labels":[],"label_agreement":null},{"id":"W1998207924","doi":"10.1016/s0167-6296(00)00085-0","title":"Omitted variable bias and hospital costs","year":2001,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Omitted-variable bias; Econometrics; Variable (mathematics); Statistics; Variable cost; Economics; Actuarial science; Mathematics; Accounting","score_opus":0.07345333486956512,"score_gpt":0.27745041528477604,"score_spread":0.20399708041521092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998207924","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":[0.64319986,0.065776214,0.080704704,0.17071553,0.0024797868,0.00026554457,0.00786515,0.00050392514,0.028489338],"genre_scores_gemma":[0.97713953,0.006265936,0.0027516899,0.0029531165,0.001595757,0.000041168278,0.0011008733,0.00007047911,0.0080813905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9833059,0.010343517,0.0015348855,0.001263808,0.0017475847,0.0018043353],"domain_scores_gemma":[0.6406629,0.29805234,0.039163776,0.012122135,0.006923597,0.0030753296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026068803,0.000730971,0.0024561512,0.0034020403,0.00092458294,0.0036634197,0.0021896763,0.00511694,0.012182919],"category_scores_gemma":[0.1918376,0.000949398,0.0020874746,0.0051088287,0.0025421968,0.003271093,0.0017734203,0.0042112307,0.0007704727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017430318,0.00054989784,0.4826374,0.0009507718,0.0035301393,0.0017897562,0.001678512,0.036122683,0.00032319332,0.36829102,0.035259992,0.06712363],"study_design_scores_gemma":[0.0008735972,0.0003044721,0.1732405,0.0008777832,0.0029182348,0.0017195072,0.0013831698,0.0571074,0.0014446641,0.7408128,0.019149562,0.00016835792],"about_ca_topic_score_codex":0.020505356,"about_ca_topic_score_gemma":0.0134712225,"teacher_disagreement_score":0.026068803,"about_ca_system_score_codex":0.0035636907,"about_ca_system_score_gemma":0.0037474069,"threshold_uncertainty_score":0.13786668},"labels":[],"label_agreement":null},{"id":"W2000661879","doi":"10.1016/j.jhealeco.2011.05.016","title":"Treatment and referral decisions under different physician payment mechanisms","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Capitation; Incentive; Payment; Specialty; Business; Referral; Actuarial science; Global Positioning System; Fee-for-service; Service (business); Family medicine; Medicine; Finance; Health care; Economics; Computer science; Marketing; Microeconomics","score_opus":0.2236683672110615,"score_gpt":0.3142707253074257,"score_spread":0.09060235809636422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000661879","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":[0.97203165,0.0014971452,0.0039524087,0.0129797105,0.00012183405,0.00022653231,0.0017313089,0.000072905874,0.007386558],"genre_scores_gemma":[0.99608254,0.00025402886,0.0009511135,0.00068405014,0.0001171366,0.000056080044,0.0002568689,0.000011962903,0.0015862456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9763901,0.014647121,0.001226944,0.0016476441,0.0011162315,0.004971996],"domain_scores_gemma":[0.78896606,0.17643683,0.020741617,0.0033951502,0.0031613808,0.007299011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025731489,0.00080789457,0.0030486304,0.0019159365,0.0010331608,0.0057806736,0.0024242708,0.0072529553,0.019629817],"category_scores_gemma":[0.11004171,0.0012457246,0.0034367517,0.002282155,0.002704716,0.0024667366,0.0014105956,0.0049337815,0.001223429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.09034572,0.0118782865,0.33918706,0.0013218995,0.0049919253,0.0043737027,0.0022620598,0.2704521,0.006129554,0.14627133,0.020899536,0.101886846],"study_design_scores_gemma":[0.018625602,0.0077135204,0.42599368,0.0005183071,0.006722865,0.0025478562,0.0052999305,0.35755044,0.0027889425,0.16750653,0.004173432,0.00055887154],"about_ca_topic_score_codex":0.010295188,"about_ca_topic_score_gemma":0.0090998635,"teacher_disagreement_score":0.025731489,"about_ca_system_score_codex":0.0056467066,"about_ca_system_score_gemma":0.003716749,"threshold_uncertainty_score":0.13608277},"labels":[],"label_agreement":null},{"id":"W2000769573","doi":"10.1016/j.jhealeco.2010.09.002","title":"Effect of large-scale social interactions on body weight","year":2010,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Endogeneity; Instrumental variable; Underweight; Econometrics; Economics; Obesity; Multiplier (economics); Variable (mathematics); Scale (ratio); Overweight; Statistics; Mathematics; Medicine; Geography; Macroeconomics; Endocrinology","score_opus":0.018884882173596667,"score_gpt":0.3644950178202641,"score_spread":0.3456101356466674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000769573","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":[0.9991042,0.00010219254,0.00003950649,0.00013778853,0.000020774687,0.000004537853,0.000060144688,0.0000040833143,0.0005267643],"genre_scores_gemma":[0.9993018,0.00003466746,0.000055972192,0.000025886746,0.000017589804,0.000008846311,0.00004596706,0.000003335589,0.00050576817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878556,0.0007015477,0.00004019713,0.0001815453,0.000077381716,0.00021378456],"domain_scores_gemma":[0.98997915,0.005006068,0.00090393977,0.0005999506,0.00022339645,0.0032874017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010477289,0.00054200203,0.0007005756,0.00038681438,0.0012259083,0.00096468366,0.0005464572,0.0012314228,0.0077155177],"category_scores_gemma":[0.0059226104,0.00041696447,0.001003348,0.0003209974,0.00092719455,0.0005793182,0.0014309516,0.0012332997,0.00036347625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.039138872,0.018249163,0.9077216,0.00009627213,0.0032744573,0.0004914251,0.0009108354,0.0015533104,0.0051862313,0.0004867348,0.0010031696,0.021887971],"study_design_scores_gemma":[0.0001801504,0.002485348,0.99504745,0.000007686206,0.0002635274,0.000040394778,0.00055393705,0.0008933541,0.0001639395,0.00015829245,0.00018764127,0.000018364126],"about_ca_topic_score_codex":0.010040475,"about_ca_topic_score_gemma":0.01902718,"teacher_disagreement_score":0.010040475,"about_ca_system_score_codex":0.00060182845,"about_ca_system_score_gemma":0.00057764805,"threshold_uncertainty_score":0.025811017},"labels":[],"label_agreement":null},{"id":"W2001269990","doi":"10.1016/s0167-6296(01)00116-3","title":"QALYs, standard gambles, and the expected budget constraint","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Chongqing University of Arts and Sciences","keywords":"Quality-adjusted life year; Actuarial science; Budget constraint; Economics; Psychological intervention; Index (typography); Health care; Economic evaluation; Constraint (computer-aided design); Cost–utility analysis; Public economics; Medicine; Microeconomics; Cost effectiveness; Operations management; Computer science; Economic growth","score_opus":0.3148880110928849,"score_gpt":0.40485537446678405,"score_spread":0.08996736337389916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001269990","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":[0.37523142,0.0315,0.4539693,0.060068373,0.0009431144,0.00036038965,0.0036788837,0.00032134753,0.073927276],"genre_scores_gemma":[0.97042346,0.00482356,0.015778722,0.0011011978,0.00035274858,0.0002256065,0.0005003003,0.00006985738,0.0067247218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99197924,0.005891901,0.0003776155,0.00048444633,0.00059654954,0.00067022064],"domain_scores_gemma":[0.92558825,0.06568104,0.0041948766,0.0015153405,0.0018816465,0.0011388789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016743824,0.0013766381,0.0026066431,0.0018772188,0.0006845232,0.0043905955,0.001559157,0.0040729027,0.0072675026],"category_scores_gemma":[0.10325145,0.0011998797,0.0010836625,0.0024491735,0.0042666644,0.011450481,0.0021547575,0.0058068964,0.0005774265],"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":[0.00062888704,0.0001818448,0.0059700976,0.00020540382,0.00018102638,0.0002208694,0.0002522855,0.1023425,0.000100176876,0.86158484,0.0059412927,0.022390889],"study_design_scores_gemma":[0.00007958485,0.00005552692,0.0015737751,0.00007230599,0.000030461953,0.00009571217,0.00006366842,0.051532973,0.000033457953,0.9453001,0.0011318484,0.00003067441],"about_ca_topic_score_codex":0.0053894273,"about_ca_topic_score_gemma":0.003922833,"teacher_disagreement_score":0.016743824,"about_ca_system_score_codex":0.0031090202,"about_ca_system_score_gemma":0.002483728,"threshold_uncertainty_score":0.088550866},"labels":[],"label_agreement":null},{"id":"W2005455137","doi":"10.1016/j.jhealeco.2011.08.005","title":"A nonparametric vs. latent class model of general practitioner utilization: Evidence from Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Econometrics; Estimator; Negative binomial distribution; Statistics; Mathematics; Conditional probability distribution; Latent class model; Count data; Nonparametric statistics; Kernel density estimation; Poisson distribution","score_opus":0.2940850762914359,"score_gpt":0.4242839251732541,"score_spread":0.1301988488818182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005455137","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":[0.9784203,0.0022936512,0.010042401,0.0023887816,0.00009581808,0.00018374268,0.0026094823,0.000113938804,0.003851858],"genre_scores_gemma":[0.9901114,0.0010173587,0.00336977,0.00018766713,0.00004354697,0.00007077909,0.0021754142,0.00006381345,0.002960149],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99135053,0.0051781433,0.00036142647,0.0011990125,0.0010301485,0.00088080624],"domain_scores_gemma":[0.92630583,0.053985957,0.005098509,0.004589063,0.007907374,0.002113228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019863343,0.0010277545,0.0018470779,0.0019512279,0.002858208,0.00546531,0.0050388193,0.002183588,0.006385718],"category_scores_gemma":[0.049993616,0.0007930139,0.0031996367,0.0042809555,0.003256618,0.002219041,0.0017055593,0.0030668552,0.0009009432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042369417,0.0014357406,0.8162552,0.0004427401,0.0022371265,0.00042973374,0.005079086,0.07510806,0.0002635235,0.03424761,0.010306959,0.049957383],"study_design_scores_gemma":[0.00082677405,0.0004496287,0.4452956,0.0004874956,0.0014281226,0.00030906856,0.0068931817,0.51417255,0.00020497991,0.024077754,0.00557907,0.0002757454],"about_ca_topic_score_codex":0.9385665,"about_ca_topic_score_gemma":0.88974833,"teacher_disagreement_score":0.061433494,"about_ca_system_score_codex":0.02053345,"about_ca_system_score_gemma":0.023923624,"threshold_uncertainty_score":0.14898133},"labels":[],"label_agreement":null},{"id":"W2009704138","doi":"10.1016/j.jhealeco.2011.10.002","title":"Trajectories of health-related quality of life differ by age among adults: Results from an eight-year longitudinal study","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canada Research Chairs","keywords":"Demography; Longitudinal study; Gerontology; Life course approach; Quality of life (healthcare); Cohort; Longitudinal data; Cohort study; Medicine; Psychology; Developmental psychology","score_opus":0.17878600248839982,"score_gpt":0.4283394010988694,"score_spread":0.2495533986104696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009704138","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":[0.9990945,0.00008633554,0.000054234046,0.00007547416,0.00000678963,0.000009900839,0.00056877895,0.0000020897355,0.00010195072],"genre_scores_gemma":[0.9976968,0.00012389402,0.00014374506,0.0000875691,0.000009393659,0.000033277694,0.0014485914,0.000003507892,0.00045321116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910516,0.00026983346,0.00010130081,0.00018903313,0.00010288576,0.00023167938],"domain_scores_gemma":[0.99629164,0.0005197859,0.0009366976,0.0005189875,0.0007314643,0.0010014063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029551366,0.0004971713,0.00069158763,0.0009293176,0.001594713,0.0013250711,0.00093017827,0.0016237422,0.0009896434],"category_scores_gemma":[0.0048097777,0.00091397204,0.001609148,0.0018468236,0.0005989867,0.0021321268,0.0016853181,0.002176555,0.00052603544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025959912,0.00022808173,0.99793327,0.0000054146135,0.000113497554,0.000040037703,0.00054756535,0.000029505767,0.00010052077,0.00001690671,0.00011910674,0.00060650724],"study_design_scores_gemma":[0.000014691717,0.00016253683,0.9986436,0.0000049906553,0.00005675985,0.00003673681,0.00079634436,0.000079820566,0.000028214192,0.00001774236,0.00015103475,0.000007627569],"about_ca_topic_score_codex":0.06861696,"about_ca_topic_score_gemma":0.073059425,"teacher_disagreement_score":0.06861696,"about_ca_system_score_codex":0.00081823254,"about_ca_system_score_gemma":0.0009681152,"threshold_uncertainty_score":0.13643515},"labels":[],"label_agreement":null},{"id":"W2015527357","doi":"10.1016/j.jhealeco.2012.10.003","title":"Do smoke-free car laws work? Evidence from a quasi-experiment","year":2012,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Legislation; Smoke; Secondhand smoke; Environmental health; Difference in differences; Business; Work (physics); Exploit; Demographic economics; Law; Medicine; Economics; Political science; Computer security; Engineering; Computer science; Waste management; Econometrics","score_opus":0.1302857790602631,"score_gpt":0.3778375432699536,"score_spread":0.24755176420969052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015527357","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":[0.976439,0.0014491393,0.0048729354,0.0042771227,0.0009732587,0.002204333,0.0025838113,0.00009059705,0.0071098604],"genre_scores_gemma":[0.9862509,0.0004286358,0.0018681787,0.001487918,0.0002713984,0.0017904643,0.00087251567,0.000019958972,0.007010142],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.98317957,0.013187842,0.00061496085,0.0014816881,0.0006561994,0.0008796784],"domain_scores_gemma":[0.7649961,0.19499743,0.019941492,0.014394777,0.0019897022,0.003680409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027328808,0.0010951839,0.0022949479,0.0004521115,0.0019887828,0.0024745832,0.0023653856,0.0053360257,0.030988662],"category_scores_gemma":[0.048550576,0.0012411972,0.0019659642,0.0004833291,0.0031928015,0.002040909,0.0010461261,0.002205049,0.004188116],"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":[0.47660556,0.2002114,0.19413503,0.0046333387,0.01338243,0.0014416175,0.005145965,0.005541796,0.008033883,0.018782765,0.015611312,0.05647486],"study_design_scores_gemma":[0.32886827,0.14186451,0.43526056,0.0007923104,0.012516446,0.00060149323,0.004987151,0.014281776,0.0037322051,0.031882,0.024711978,0.0005014361],"about_ca_topic_score_codex":0.007645465,"about_ca_topic_score_gemma":0.0053494456,"teacher_disagreement_score":0.030988662,"about_ca_system_score_codex":0.0007890411,"about_ca_system_score_gemma":0.001993168,"threshold_uncertainty_score":0.14453024},"labels":[],"label_agreement":null},{"id":"W2016238498","doi":"10.1016/j.jhealeco.2007.07.002","title":"Measuring and illustrating statistical evidence in a cost-effectiveness analysis","year":2007,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Health and Long-Term Care","keywords":"Frequentist inference; Econometrics; Frequentist probability; Bayesian probability; Computer science; Statistical hypothesis testing; Cost effectiveness; Bayesian statistics; Sample (material); Statistics; Bayesian inference; Mathematics; Artificial intelligence","score_opus":0.6688369650401784,"score_gpt":0.5094955332351234,"score_spread":0.159341431805055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016238498","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":[0.11575655,0.061448783,0.71950155,0.062203046,0.0021003545,0.004512321,0.0025930696,0.0010220985,0.030862285],"genre_scores_gemma":[0.56680155,0.0071249073,0.42091626,0.00243952,0.0006150553,0.0013746709,0.00026965182,0.00008943422,0.00036894242],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.5185124,0.41244924,0.034802146,0.0034211748,0.029715618,0.0010993002],"domain_scores_gemma":[0.097954236,0.8740858,0.01156855,0.009146918,0.006712622,0.00053194474],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.253203,0.0025390051,0.0032810268,0.01573031,0.0012369963,0.009462359,0.003000174,0.0075464626,0.0039402307],"category_scores_gemma":[0.67468816,0.0015682552,0.0043438687,0.009459293,0.006265988,0.01159921,0.004545665,0.0052246545,0.00034416563],"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":[0.0057440903,0.0011127758,0.03552623,0.022469237,0.011641577,0.0012661391,0.0020893966,0.093389116,0.003269512,0.37224948,0.014927157,0.43631533],"study_design_scores_gemma":[0.0029390312,0.0051080673,0.017838307,0.013204172,0.020536484,0.0018089777,0.0016728665,0.2507751,0.011109212,0.6438276,0.03056212,0.00061803224],"about_ca_topic_score_codex":0.0017797797,"about_ca_topic_score_gemma":0.0020711322,"teacher_disagreement_score":0.253203,"about_ca_system_score_codex":0.0050494876,"about_ca_system_score_gemma":0.0071869697,"threshold_uncertainty_score":0.92093366},"labels":[],"label_agreement":null},{"id":"W2016308515","doi":"10.1016/j.jhealeco.2011.04.006","title":"Optimal public provision of nursing homes and the role of information","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Adverse selection; Scope (computer science); Context (archaeology); Business; Long-term care; Nursing; Nursing homes; Public economics; Selection (genetic algorithm); Term (time); Actuarial science; Medicine; Economics; Computer science","score_opus":0.07040761942773703,"score_gpt":0.3938565242304245,"score_spread":0.32344890480268745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016308515","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":[0.6658876,0.010119293,0.019228823,0.17298336,0.00052514346,0.0003665418,0.0011663903,0.00012766293,0.1295952],"genre_scores_gemma":[0.9967596,0.00066005,0.0006940145,0.00051727024,0.0001622186,0.000025559282,0.000033145603,0.000007706926,0.0011404734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9867901,0.009366462,0.00031547595,0.00048052688,0.00067628385,0.0023710688],"domain_scores_gemma":[0.90689725,0.07549979,0.007743262,0.0015981075,0.0038039885,0.004457631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010774729,0.00042233852,0.0012909878,0.0015938537,0.0019969046,0.008753696,0.0017804716,0.004618424,0.012442134],"category_scores_gemma":[0.06467004,0.0006972316,0.0006011858,0.0014135742,0.0045762965,0.006979847,0.0026526847,0.0026421128,0.00045390037],"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":[0.0030107275,0.0060305875,0.12178863,0.0010287869,0.00044205372,0.0011189822,0.004293811,0.06790745,0.0006582185,0.6226231,0.03819559,0.1329021],"study_design_scores_gemma":[0.0010665099,0.0006453397,0.07530193,0.0006951345,0.00038067639,0.00033654267,0.01574854,0.05647714,0.0007943593,0.83334297,0.015104374,0.000106419386],"about_ca_topic_score_codex":0.024975501,"about_ca_topic_score_gemma":0.02552921,"teacher_disagreement_score":0.024975501,"about_ca_system_score_codex":0.008833425,"about_ca_system_score_gemma":0.010814204,"threshold_uncertainty_score":0.064091265},"labels":[],"label_agreement":null},{"id":"W2019169271","doi":"10.1016/j.jhealeco.2012.04.006","title":"The value of medical and pharmaceutical interventions for reducing obesity","year":2012,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Institute on Aging","keywords":"Life expectancy; Psychological intervention; Earnings; Health care; Population; Value (mathematics); Economics; Actuarial science; Business; Public economics; Medicine; Environmental health; Finance; Economic growth; Psychiatry","score_opus":0.5663477368785653,"score_gpt":0.5515232851022022,"score_spread":0.014824451776363157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019169271","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":[0.55038303,0.16719896,0.013930433,0.15284097,0.0030424225,0.00028765338,0.0037038617,0.00015841727,0.10845423],"genre_scores_gemma":[0.988533,0.0069193854,0.0009663884,0.0015567726,0.0009430115,0.000022200717,0.00013876705,0.000008464901,0.0009120989],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9883791,0.008914957,0.0004073175,0.00036092076,0.0014757839,0.0004619506],"domain_scores_gemma":[0.91009593,0.08119908,0.0035924118,0.0016101378,0.0018632477,0.0016392422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013053972,0.000780723,0.0013319985,0.0023257977,0.0004689327,0.0031091725,0.00097433716,0.0038457264,0.0056976727],"category_scores_gemma":[0.07912147,0.00041905965,0.0018179865,0.0012552609,0.0024875766,0.003098246,0.0011889429,0.003052848,0.00024823553],"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":[0.060716905,0.0033018515,0.082235925,0.0032324095,0.009043618,0.0011597383,0.0003891561,0.13831025,0.0015107925,0.18416156,0.01872007,0.49721766],"study_design_scores_gemma":[0.007243458,0.007500865,0.17903197,0.002888367,0.011766201,0.0012774225,0.0017541918,0.17818561,0.002631544,0.5775906,0.029807877,0.00032188688],"about_ca_topic_score_codex":0.0032787044,"about_ca_topic_score_gemma":0.0027421087,"teacher_disagreement_score":0.013053972,"about_ca_system_score_codex":0.0033743843,"about_ca_system_score_gemma":0.0021400333,"threshold_uncertainty_score":0.06903678},"labels":[],"label_agreement":null},{"id":"W2020438811","doi":"10.1016/j.jhealeco.2011.11.004","title":"Using a discrete choice experiment to estimate health state utility values","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":261,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia; St. Paul's Hospital","funders":"","keywords":"Time-trade-off; Valuation (finance); Scale (ratio); EQ-5D; Econometrics; Discrete choice; Task (project management); Value (mathematics); Actuarial science; Sample (material); Psychology; Economics; Medicine; Statistics; Mathematics; Quality of life (healthcare); Health related quality of life; Geography; Finance; Nursing","score_opus":0.3610376684492279,"score_gpt":0.36379656629906204,"score_spread":0.00275889784983413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020438811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93430305,0.00007098141,0.060702436,0.000760737,0.00023212265,0.0012102083,0.00051013613,0.00009809112,0.002112285],"genre_scores_gemma":[0.9549392,0.00006550681,0.040989667,0.00025968853,0.000057443543,0.0019719405,0.00028904888,0.000015508891,0.0014120414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9851658,0.012411942,0.0004471044,0.0010278269,0.0006164124,0.0003309425],"domain_scores_gemma":[0.7895409,0.20124137,0.00357075,0.003949668,0.0008968602,0.00080044253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02734904,0.0011663156,0.001357819,0.00059270515,0.0005379072,0.0022346517,0.0012735273,0.0029326181,0.008615198],"category_scores_gemma":[0.07464222,0.0008600722,0.0011437149,0.0005152885,0.0017858571,0.0025413458,0.00089873746,0.0025405637,0.0006098851],"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":[0.22690399,0.09580784,0.09113958,0.0015490073,0.005833905,0.0008229501,0.0041353037,0.29135078,0.029133499,0.12780245,0.0033754066,0.122145265],"study_design_scores_gemma":[0.04915482,0.04961683,0.026967444,0.000116852236,0.0014024255,0.00023325169,0.000513795,0.7414284,0.011823445,0.115770645,0.002562684,0.00040951473],"about_ca_topic_score_codex":0.0015772787,"about_ca_topic_score_gemma":0.0010123309,"teacher_disagreement_score":0.02734904,"about_ca_system_score_codex":0.0011254798,"about_ca_system_score_gemma":0.0011128909,"threshold_uncertainty_score":0.14463729},"labels":[],"label_agreement":null},{"id":"W2021526538","doi":"10.1016/j.jhealeco.2005.09.006","title":"Early initiation of highly active antiretroviral therapies for AIDS: Dynamic choice with endogenous and exogenous learning","year":2005,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Antiretroviral therapy; Antiretroviral treatment; Medicine; Intensive care medicine; Human immunodeficiency virus (HIV); Immunology; Viral load","score_opus":0.026925224094011064,"score_gpt":0.27825196353447673,"score_spread":0.2513267394404657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021526538","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":[0.728601,0.0047757574,0.2151301,0.02466814,0.00041595346,0.00029278014,0.0015946085,0.00044171902,0.024079932],"genre_scores_gemma":[0.98976946,0.00074385374,0.0038909717,0.00036792876,0.00013404609,0.00004388432,0.00013259615,0.000023373252,0.004893892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99461913,0.003041362,0.0001485511,0.00071844866,0.000289796,0.0011827291],"domain_scores_gemma":[0.9105186,0.07885571,0.005929294,0.001285274,0.00079435273,0.0026167969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008407545,0.0011640037,0.0032248683,0.001354483,0.00091994676,0.0044836975,0.0023907484,0.0053968853,0.011825178],"category_scores_gemma":[0.038394447,0.0014599632,0.0015299007,0.0010942781,0.0035944136,0.005977904,0.0025945073,0.004685139,0.0008342802],"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":[0.006952047,0.002154984,0.0422119,0.0006390154,0.001038472,0.002044593,0.000551647,0.6299166,0.001072592,0.2151648,0.008997488,0.08925581],"study_design_scores_gemma":[0.0007667473,0.00063912064,0.009698577,0.00008354435,0.00030303458,0.00041333775,0.00039838254,0.7068882,0.0003483967,0.278562,0.0017423857,0.0001563433],"about_ca_topic_score_codex":0.005926837,"about_ca_topic_score_gemma":0.0061377427,"teacher_disagreement_score":0.011825178,"about_ca_system_score_codex":0.0027799718,"about_ca_system_score_gemma":0.0021811395,"threshold_uncertainty_score":0.044463873},"labels":[],"label_agreement":null},{"id":"W2024658833","doi":"10.1016/j.jhealeco.2012.12.001","title":"Reducing underage alcohol and tobacco use: Evidence from the introduction of vertical identification cards","year":2012,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"License; Identification (biology); Alcohol consumption; Tobacco use; Tobacco control; State (computer science); Control (management); Psychology; Consumption (sociology); Significant difference; Business; Difference in differences; Environmental health; Computer security; Social psychology; Advertising; Computer science; Alcohol; Medicine; Public health; Economics; Political science; Econometrics; Law; Sociology; Artificial intelligence","score_opus":0.0772385183257252,"score_gpt":0.27409815339055515,"score_spread":0.19685963506482995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024658833","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":[0.97972095,0.0038068574,0.00067434413,0.0031193877,0.0003665321,0.00017175918,0.0007105824,0.00003746708,0.011392154],"genre_scores_gemma":[0.9939898,0.0018000226,0.00052483904,0.000718917,0.00013069161,0.000049372265,0.00026838382,0.0000051828783,0.002512749],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99552923,0.0023898806,0.00027938947,0.0004230524,0.000704681,0.00067373685],"domain_scores_gemma":[0.96673256,0.018958341,0.00837778,0.0020799583,0.0013911847,0.0024601591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004141287,0.0005205242,0.00075144204,0.00068329653,0.00061541,0.0011103272,0.0014328053,0.0021048577,0.011877944],"category_scores_gemma":[0.025932642,0.0004531382,0.0007129415,0.0009792859,0.0010448098,0.0016030691,0.0015627154,0.0021725025,0.0008877884],"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":[0.0672417,0.050195716,0.23579177,0.004090459,0.0019022791,0.00029670505,0.0018941943,0.0028853116,0.001890767,0.015107654,0.0145971915,0.6041063],"study_design_scores_gemma":[0.01925742,0.054583468,0.8483889,0.0029837734,0.0054662023,0.00040789475,0.0039522867,0.008175069,0.0059492695,0.013923483,0.03670526,0.00020703455],"about_ca_topic_score_codex":0.009866449,"about_ca_topic_score_gemma":0.007545134,"teacher_disagreement_score":0.011877944,"about_ca_system_score_codex":0.0008253047,"about_ca_system_score_gemma":0.0014496007,"threshold_uncertainty_score":0.039735734},"labels":[],"label_agreement":null},{"id":"W2028783990","doi":"10.1016/j.jhealeco.2007.03.004","title":"Education and smoking: Were Vietnam war draft avoiders also more likely to avoid smoking?","year":2007,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":172,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"HEC Montréal; McGill University","keywords":"Attendance; Vietnam War; Smoking cessation; Psychology; Spanish Civil War; Educational attainment; Causation; Demography; Medicine; Political science; Sociology; Economics; Economic growth","score_opus":0.017990361520023975,"score_gpt":0.3228307734582945,"score_spread":0.3048404119382705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028783990","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":[0.99799985,0.00022485659,0.000014870144,0.00070495124,0.0000187387,0.000007237294,0.000104082006,7.7959095e-7,0.0009244977],"genre_scores_gemma":[0.99897873,0.000103243474,0.000017103224,0.00012032917,0.000017841974,0.0000033815961,0.000053890028,0.0000012593994,0.00070432964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924254,0.0002419718,0.000042555082,0.00009331763,0.000087166685,0.00029240918],"domain_scores_gemma":[0.9961169,0.0006573963,0.0014661466,0.000116904725,0.00029384042,0.0013487147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008518476,0.00023095639,0.00032731768,0.0008020759,0.0012159338,0.0016222078,0.00059895957,0.0022229024,0.0055072103],"category_scores_gemma":[0.0044853897,0.00041415225,0.00042888068,0.001034695,0.0008030135,0.0009404204,0.0004917999,0.0017345597,0.00040379516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012645844,0.00016349369,0.9977591,0.0000071451846,0.000042413325,0.00012325073,0.00061324553,0.000011276063,0.00006787941,0.00007687264,0.000110153414,0.00089876825],"study_design_scores_gemma":[0.00001588288,0.000089159184,0.9966349,0.000014451146,0.00004544097,0.0001456748,0.0024956176,0.00007508995,0.00004368173,0.0000912886,0.00034223744,0.0000065340055],"about_ca_topic_score_codex":0.061524965,"about_ca_topic_score_gemma":0.059243314,"teacher_disagreement_score":0.061524965,"about_ca_system_score_codex":0.00068689114,"about_ca_system_score_gemma":0.0011172381,"threshold_uncertainty_score":0.122333705},"labels":[],"label_agreement":null},{"id":"W2029453089","doi":"10.1016/j.jhealeco.2008.11.003","title":"Bayesian and classical estimation of mixed logit: An application to genetic testing","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; University of Aberdeen; Michael Smith Health Research BC; Genome Canada","keywords":"Mixed logit; Discrete choice; Estimation; Econometrics; Logit; Convergence (economics); Bayesian probability; Bayes' theorem; Bayes estimator; Preference; Computer science; Mathematical optimization; Mathematics; Economics; Logistic regression; Statistics","score_opus":0.14124113510701725,"score_gpt":0.2644962206624634,"score_spread":0.12325508555544618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029453089","genre_codex":"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":[0.011733543,0.0004053166,0.98584044,0.00065787334,0.00005102273,0.00003745605,0.000082750004,0.00019927211,0.0009923058],"genre_scores_gemma":[0.36219415,0.0012899175,0.6284624,0.00051926053,0.0004388878,0.0002847646,0.0003782192,0.00018747784,0.006244901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99019647,0.007606698,0.00025366506,0.0007841154,0.00088144455,0.0002775909],"domain_scores_gemma":[0.9075968,0.08578397,0.0014690082,0.0020449916,0.0024515686,0.00065362355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020751964,0.0010923498,0.0023437557,0.0029365527,0.0010400747,0.002408521,0.0038723014,0.0027768326,0.0059227706],"category_scores_gemma":[0.116711915,0.0011978095,0.0016662918,0.0026285881,0.0032766184,0.0044808355,0.003128451,0.0029669309,0.0005748889],"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":[0.00025496815,0.0002569691,0.005601692,0.00020896959,0.0003969258,0.0003221076,0.00036870188,0.33649766,0.0005442031,0.5146269,0.0039979713,0.13692296],"study_design_scores_gemma":[0.00003922878,0.000022629256,0.0006220319,0.000019587127,0.00002931503,0.000059013903,0.000021214391,0.7562037,0.0001232843,0.24226524,0.00056812004,0.000026538482],"about_ca_topic_score_codex":0.014062821,"about_ca_topic_score_gemma":0.016319424,"teacher_disagreement_score":0.020751964,"about_ca_system_score_codex":0.0017683737,"about_ca_system_score_gemma":0.0031114123,"threshold_uncertainty_score":0.109748185},"labels":[],"label_agreement":null},{"id":"W2029786198","doi":"10.1016/j.jhealeco.2007.07.003","title":"Welfarism vs. extra-welfarism","year":2007,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":324,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Welfarism; Health economics; Valuation (finance); Economics; Public economics; Capability approach; Actuarial science; Weighting; Interpersonal communication; Positive economics; Psychology; Welfare; Social psychology; Medicine; Health care","score_opus":0.07213068382764794,"score_gpt":0.41425596921702856,"score_spread":0.34212528538938064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029786198","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":[0.40067554,0.0022069495,0.006647849,0.015066985,0.0014398731,0.00010213253,0.00052022876,0.0000325492,0.57330793],"genre_scores_gemma":[0.9925783,0.00021049101,0.0003141683,0.0011616029,0.0004922992,0.000042616466,0.000067648456,0.00001592341,0.0051168175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9949881,0.0016722155,0.00025419248,0.0004988208,0.0011215187,0.0014652982],"domain_scores_gemma":[0.98540246,0.007140893,0.002696342,0.0010949426,0.0011497596,0.0025155582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005566049,0.00035522218,0.00074999477,0.0015526504,0.002109445,0.0038600268,0.0010685674,0.0028154203,0.021975651],"category_scores_gemma":[0.013031262,0.00021909186,0.0007339434,0.0013566421,0.0072885845,0.005220267,0.0048576365,0.0037910596,0.0013036081],"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":[0.0019107081,0.00052699953,0.023660215,0.00046208588,0.0001859999,0.0002622534,0.0040091085,0.00044945942,0.0006588354,0.9283759,0.006160763,0.033337567],"study_design_scores_gemma":[0.0012259396,0.0014269213,0.13658394,0.00077930774,0.00061541965,0.00087509817,0.024571437,0.0019386243,0.0013302602,0.75917524,0.0713256,0.00015211801],"about_ca_topic_score_codex":0.0011970687,"about_ca_topic_score_gemma":0.0031822296,"teacher_disagreement_score":0.021975651,"about_ca_system_score_codex":0.0013431662,"about_ca_system_score_gemma":0.0010529828,"threshold_uncertainty_score":0.07351595},"labels":[],"label_agreement":null},{"id":"W2031782205","doi":"10.1016/j.jhealeco.2011.02.002","title":"Medicaid's effect on single women's labor supply: Evidence from the introduction of Medicaid","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute on Aging","keywords":"Medicaid; Demographic economics; Health insurance; Public health insurance; Business; Point (geometry); Health care; Labour economics; Economics; Economic growth","score_opus":0.08629926706047819,"score_gpt":0.27894727147701776,"score_spread":0.19264800441653956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031782205","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":[0.9894057,0.0008705951,0.00005524229,0.004833693,0.0000503837,0.000016164822,0.0010587046,0.0000058630035,0.0037035772],"genre_scores_gemma":[0.99564666,0.0008247853,0.000031739663,0.00077708956,0.00013727516,0.000020945452,0.00041981932,0.000004191784,0.0021374112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981653,0.00057404675,0.00008927957,0.00013441006,0.00025842848,0.0007786268],"domain_scores_gemma":[0.97252595,0.016002366,0.0076309964,0.00041769972,0.000721592,0.0027013975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002540027,0.00021174559,0.00057381537,0.0008611123,0.0010777068,0.0014432301,0.00096449524,0.0021921801,0.008057977],"category_scores_gemma":[0.01503404,0.0003467658,0.0009159,0.0014760956,0.0012915301,0.0011079373,0.0017564804,0.0021838539,0.00035412633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007171417,0.0031783513,0.94588816,0.00027314373,0.0007667485,0.0009554943,0.0022429174,0.0024819307,0.0013664822,0.005214835,0.006477835,0.023982773],"study_design_scores_gemma":[0.0002940132,0.00088489964,0.9874374,0.0001169041,0.00042629938,0.00009635529,0.0042477637,0.00068980723,0.00069487176,0.0009952966,0.004089585,0.00002686098],"about_ca_topic_score_codex":0.08577543,"about_ca_topic_score_gemma":0.13062666,"teacher_disagreement_score":0.08577543,"about_ca_system_score_codex":0.0019425934,"about_ca_system_score_gemma":0.0032711131,"threshold_uncertainty_score":0.17055231},"labels":[],"label_agreement":null},{"id":"W2037781802","doi":"10.1016/j.jhealeco.2012.07.001","title":"Junior doctors’ preferences for specialty choice","year":2012,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Health and Medical Research Council; National Medical Research Council; Medical Research Council","keywords":"Specialty; Family medicine; Medicine; Psychology; Actuarial science; Medical emergency; Business","score_opus":0.17513842316125836,"score_gpt":0.3463221955803677,"score_spread":0.17118377241910934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037781802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991478,0.00010744771,0.00018869175,0.0022529762,0.000024858175,0.000005874376,0.0001250077,0.0000024594249,0.005814707],"genre_scores_gemma":[0.999071,0.000034640583,0.00005884986,0.00026313224,0.000017232056,0.0000012108267,0.00004720019,0.0000014525515,0.00050519867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799335,0.0007457418,0.00017186117,0.0001178211,0.00037290805,0.0005983671],"domain_scores_gemma":[0.95619,0.02226947,0.00792685,0.0009842716,0.001978708,0.010650672],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0035306518,0.00008794544,0.00022406828,0.00084578164,0.0006199994,0.0015890236,0.00026198916,0.00090627075,0.014024934],"category_scores_gemma":[0.031810768,0.00018558338,0.0003691229,0.00068607763,0.0006790918,0.0004841626,0.0006277885,0.0012639017,0.0009579066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002036033,0.00042393975,0.9558161,0.00006986606,0.000198308,0.00072033855,0.005321772,0.0012375555,0.0017071579,0.00414087,0.004991436,0.023336567],"study_design_scores_gemma":[0.00019185462,0.00037404383,0.97785336,0.00005918887,0.00006496684,0.0011076414,0.009689328,0.0020024169,0.00046463797,0.0047873156,0.0033537832,0.000051454303],"about_ca_topic_score_codex":0.0061497004,"about_ca_topic_score_gemma":0.015394897,"teacher_disagreement_score":0.9964693,"about_ca_system_score_codex":0.000971871,"about_ca_system_score_gemma":0.00096803455,"threshold_uncertainty_score":0.046918094},"labels":[],"label_agreement":null},{"id":"W2038969343","doi":"10.1016/j.jhealeco.2004.03.001","title":"The transition from good to poor health: an econometric study of the older population","year":2004,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Endogeneity; Socioeconomic status; Demographic economics; Economics; Health care; Survey of Income and Program Participation; Demographic transition; Population; Econometrics; Medicine; Environmental health; Economic growth; Fertility","score_opus":0.07056797667436093,"score_gpt":0.43351597619594456,"score_spread":0.36294799952158363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038969343","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":[0.9958949,0.00043149662,0.0010503052,0.0014664681,0.000014746462,0.000015385454,0.00061587244,0.000010748075,0.00050004554],"genre_scores_gemma":[0.99758446,0.00032677164,0.00022279724,0.0001561268,0.00003533896,0.000011779906,0.00064904266,0.0000069194907,0.0010068279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898547,0.00057758385,0.000042666394,0.00009320628,0.00005556734,0.00024549235],"domain_scores_gemma":[0.98265356,0.013341794,0.0017550532,0.00056837965,0.00037367095,0.001307507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037249685,0.00037441688,0.0007550076,0.00097498624,0.00077425985,0.0015128375,0.0011386187,0.0017192757,0.0044235014],"category_scores_gemma":[0.013656213,0.0005041007,0.0014940937,0.0022485596,0.0013009055,0.0014842588,0.0013104541,0.0029778627,0.00041791872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017278908,0.0013228793,0.9359965,0.00008319217,0.00081295916,0.00090676965,0.002019455,0.03372292,0.0003228964,0.007213779,0.0037387314,0.012132005],"study_design_scores_gemma":[0.00025236708,0.00092055247,0.86223584,0.00006027498,0.0008449914,0.0004421137,0.010328983,0.11609521,0.00023623218,0.005943248,0.0025510718,0.00008914225],"about_ca_topic_score_codex":0.10590695,"about_ca_topic_score_gemma":0.08323844,"teacher_disagreement_score":0.10590695,"about_ca_system_score_codex":0.0019577658,"about_ca_system_score_gemma":0.0009972294,"threshold_uncertainty_score":0.210581},"labels":[],"label_agreement":null},{"id":"W2041336626","doi":"10.1016/s0167-6296(01)00113-8","title":"Defining the value of a statistical life: a comment","year":2002,"lang":"en","type":"letter","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Health Canada","funders":"","keywords":"Estimator; Value (mathematics); Value of life; Econometrics; Constraint (computer-aided design); Mathematical economics; Actuarial science; Economics; Statistics; Mathematics; Microeconomics","score_opus":0.07684892321634858,"score_gpt":0.42953793422930303,"score_spread":0.35268901101295447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041336626","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025558312,0.0004040088,0.00016061342,0.99312794,0.0043709227,0.000007498763,0.000027712038,0.000010929797,0.0016348179],"genre_scores_gemma":[0.0016366362,0.00013557733,0.00016534861,0.9891543,0.0072914097,0.000019407418,0.0000071370237,0.000016303238,0.0015739361],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97465,0.009019747,0.0031068549,0.0043029063,0.006255446,0.0026650515],"domain_scores_gemma":[0.8853582,0.09064272,0.0044360324,0.0026543117,0.011017252,0.005891483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029766005,0.0015572321,0.0031349116,0.0015151498,0.013363507,0.013849529,0.00786846,0.18552195,0.007208508],"category_scores_gemma":[0.11682746,0.0025933748,0.0031179062,0.0024918409,0.019727616,0.014346231,0.006498264,0.15903974,0.005790721],"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":[0.00009662534,0.000043853157,0.00075268076,0.00008628223,0.000039071005,0.0006364841,0.0015683549,0.00009773963,0.00020071803,0.031914096,0.95974135,0.0048227417],"study_design_scores_gemma":[0.00026934696,0.00009521792,0.0027447643,0.0013987422,0.0001339589,0.0009856333,0.0042055873,0.00086609315,0.00061673776,0.06901255,0.9193535,0.0003178232],"about_ca_topic_score_codex":0.03837322,"about_ca_topic_score_gemma":0.056659497,"teacher_disagreement_score":0.18552195,"about_ca_system_score_codex":0.011376608,"about_ca_system_score_gemma":0.013033261,"threshold_uncertainty_score":0.15741956},"labels":[],"label_agreement":null},{"id":"W2043961674","doi":"10.1016/s0167-6296(02)00013-9","title":"Exploring the effects of population change on the costs of physician services","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Population; MEDLINE; Medicine; Environmental health; Political science","score_opus":0.24485769201910618,"score_gpt":0.40548862771794264,"score_spread":0.16063093569883646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043961674","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":[0.9899278,0.00054447714,0.0003131006,0.0041189105,0.000046702044,0.000030051995,0.0007940475,0.0000070846827,0.004217782],"genre_scores_gemma":[0.9982515,0.00023718338,0.00012916791,0.0002266399,0.00004389339,0.0000134911925,0.0001605232,0.0000035032576,0.0009341962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99670935,0.0018816667,0.000086651926,0.00016866732,0.00019602901,0.0009576765],"domain_scores_gemma":[0.96519876,0.029094452,0.0027215125,0.0003887132,0.0010904124,0.0015061646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035518273,0.00045747965,0.00051229185,0.0008807179,0.0008429507,0.0020558927,0.0013948879,0.002149294,0.013070522],"category_scores_gemma":[0.030281562,0.00036380923,0.0019481509,0.0017438991,0.0012619338,0.002330504,0.0013724949,0.0028540008,0.00041799978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071032625,0.0032904972,0.8707862,0.0003374823,0.0016669084,0.0012315547,0.0014596926,0.05193292,0.0005500601,0.019212777,0.004606656,0.03782203],"study_design_scores_gemma":[0.0003838617,0.0021508657,0.9340598,0.00006844684,0.0014297533,0.00022434251,0.006846215,0.040854245,0.00072346715,0.009283857,0.0039009652,0.00007415542],"about_ca_topic_score_codex":0.0821147,"about_ca_topic_score_gemma":0.097206585,"teacher_disagreement_score":0.0821147,"about_ca_system_score_codex":0.0037630284,"about_ca_system_score_gemma":0.0023837597,"threshold_uncertainty_score":0.16327345},"labels":[],"label_agreement":null},{"id":"W2046454706","doi":"10.1016/j.jhealeco.2010.10.005","title":"Enhanced fee-for-service model and physician productivity: Evidence from Family Health Groups in Ontario","year":2010,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Medical Association","funders":"Connaught Fund; York University","keywords":"Fee-for-service; Referral; Productivity; Service (business); Medicine; Family medicine; Health care; Business; Economics; Marketing","score_opus":0.11266283043549577,"score_gpt":0.30149367708220953,"score_spread":0.18883084664671376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046454706","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":[0.99633706,0.00033440217,0.00006703355,0.00073783094,0.0000056692706,0.00002264443,0.00075205375,0.000003193728,0.0017400967],"genre_scores_gemma":[0.998108,0.00027507648,0.0000699857,0.0000812499,0.000005821603,0.000009315458,0.00042848795,0.000002953561,0.0010191132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981164,0.0005196549,0.00011360329,0.00017785201,0.0004989044,0.0005735611],"domain_scores_gemma":[0.98484045,0.004450914,0.004457285,0.0007316485,0.00257238,0.0029472786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023324993,0.00023111806,0.00052315946,0.0008949664,0.002556322,0.0015232539,0.0014366078,0.0007743853,0.003639421],"category_scores_gemma":[0.013401422,0.00036167674,0.0007291634,0.0034649759,0.0013662246,0.00089419505,0.0010352008,0.0008834802,0.00024479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034167178,0.00020748,0.98654526,0.000058993173,0.00013220253,0.00016010703,0.0043820282,0.0005502816,0.00010483836,0.00050180603,0.0012207407,0.005794624],"study_design_scores_gemma":[0.00006549944,0.00006451908,0.9940891,0.000032747073,0.00006232447,0.000026430062,0.0038429066,0.00056311395,0.000029793217,0.000102914935,0.0011086295,0.000012109314],"about_ca_topic_score_codex":0.98894507,"about_ca_topic_score_gemma":0.9947967,"teacher_disagreement_score":0.9595406,"about_ca_system_score_codex":0.040459376,"about_ca_system_score_gemma":0.031229401,"threshold_uncertainty_score":0.29355472},"labels":[],"label_agreement":null},{"id":"W2052791582","doi":"10.1016/j.jhealeco.2009.11.007","title":"Monopoly pricing of an antibiotic subject to bacterial resistance","year":2009,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Monopoly; Economics; Externality; Microeconomics; Antibiotic resistance; Antibiotics; Population; Quality (philosophy); Industrial organization; Biology; Medicine; Microbiology","score_opus":0.061884719706315594,"score_gpt":0.32484066913720366,"score_spread":0.26295594943088807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052791582","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":[0.70583844,0.0032158336,0.13629144,0.027175926,0.00087950926,0.00037371743,0.0010727477,0.00076177745,0.12439055],"genre_scores_gemma":[0.980944,0.0004240319,0.002220328,0.0003550032,0.00043456137,0.00004086009,0.0000584873,0.00003866549,0.015484127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971771,0.0011316404,0.000115458744,0.00029237414,0.0005305635,0.0007528867],"domain_scores_gemma":[0.98135597,0.013411842,0.0017247961,0.0009093606,0.001105795,0.0014922098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058433088,0.0010987201,0.00293893,0.0016977361,0.0011425143,0.006531949,0.0033863187,0.0092814425,0.015466066],"category_scores_gemma":[0.024047665,0.0012867245,0.0014398454,0.0012786868,0.0029548036,0.0040771333,0.0017219417,0.00473868,0.0011601709],"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":[0.0029036629,0.0007723519,0.0032772422,0.00044769456,0.00025724265,0.0026903283,0.00025933134,0.24588944,0.010535739,0.68717974,0.0158738,0.029913427],"study_design_scores_gemma":[0.00045117806,0.00080598536,0.003216557,0.0000630126,0.00021987768,0.0006697371,0.00013399182,0.7539522,0.0014440691,0.23525934,0.003651663,0.0001323785],"about_ca_topic_score_codex":0.0039795567,"about_ca_topic_score_gemma":0.002414416,"teacher_disagreement_score":0.015466066,"about_ca_system_score_codex":0.0034476076,"about_ca_system_score_gemma":0.002660447,"threshold_uncertainty_score":0.051739156},"labels":[],"label_agreement":null},{"id":"W2054329856","doi":"10.1016/j.jhealeco.2013.02.005","title":"Erratum to “Using a discrete choice experiment to estimate health state utility values” [J. Health Econ. 31 (1) (2012) 306–318]","year":2013,"lang":"en","type":"erratum","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital; Centre for Advancing Health Outcomes","funders":"","keywords":"State (computer science); Discrete choice; Econometrics; Economics; Mathematical economics; Actuarial science; Computer science; Algorithm","score_opus":0.13788862119664083,"score_gpt":0.3401765440986031,"score_spread":0.20228792290196226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054329856","genre_codex":"editorial","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":[0.00022474994,0.0010181845,0.0016673089,0.12639739,0.85742646,0.00012700309,0.0028284183,0.0006437957,0.009666578],"genre_scores_gemma":[0.0086979475,0.0062190993,0.011093824,0.3655864,0.21322364,0.0009774918,0.0059462027,0.0019568012,0.38629857],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99264055,0.0017777181,0.0016168396,0.00068974297,0.0028461858,0.00042885498],"domain_scores_gemma":[0.95108026,0.020944105,0.0016181057,0.0022740422,0.02295525,0.0011282417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008653913,0.0022494178,0.0024494624,0.0026907953,0.0043939548,0.0032497656,0.0038277167,0.01017736,0.058750823],"category_scores_gemma":[0.09077149,0.0015170447,0.0022948016,0.0019602187,0.0026512244,0.0027073002,0.0022697754,0.011919474,0.04256771],"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":[0.000025629846,0.000008323015,0.00002539605,0.000037066657,0.000004896129,0.00005941968,0.000012309808,0.000026769985,0.000020261481,0.00048991264,0.99731195,0.001977984],"study_design_scores_gemma":[0.00014525361,0.00005916735,0.0012361567,0.0004939449,0.000058645408,0.00021716078,0.000096444506,0.00048588484,0.00041457507,0.0031503346,0.99355704,0.000085376916],"about_ca_topic_score_codex":0.034430597,"about_ca_topic_score_gemma":0.04407988,"teacher_disagreement_score":0.058750823,"about_ca_system_score_codex":0.005157915,"about_ca_system_score_gemma":0.008767394,"threshold_uncertainty_score":0.19654107},"labels":[],"label_agreement":null},{"id":"W2057340626","doi":"10.1016/s0167-6296(02)00081-4","title":"A game theoretic model of the relationship between prices and waiting times","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Set (abstract data type); Economics; Microeconomics; Mathematical economics; Game theory; Econometrics; Public economics; Computer science","score_opus":0.19468856100757592,"score_gpt":0.29484086355202854,"score_spread":0.10015230254445262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057340626","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":[0.2217355,0.0028026162,0.66879046,0.021026945,0.0005814933,0.00043352265,0.0032370335,0.00060689775,0.08078554],"genre_scores_gemma":[0.9294433,0.0014737226,0.02248985,0.0008848477,0.00035148242,0.00028631758,0.00045607,0.00012312064,0.04449133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979354,0.0009450302,0.000070128786,0.00034469715,0.00021469069,0.00049007003],"domain_scores_gemma":[0.98715925,0.010213072,0.00082678645,0.00025837374,0.00057466235,0.00096780394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038665708,0.0016169293,0.0030705258,0.001635993,0.0015398148,0.006566635,0.0055168844,0.007581305,0.020665493],"category_scores_gemma":[0.017410161,0.002101652,0.001488571,0.002155895,0.0036862781,0.0071142307,0.0018928158,0.005368633,0.0021538578],"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":[0.00030781137,0.00024773707,0.0010368596,0.000117962125,0.00009441849,0.0005029102,0.00036387792,0.40206754,0.0009309231,0.58481324,0.004715473,0.0048012333],"study_design_scores_gemma":[0.00023903708,0.00013011535,0.0004059052,0.000023244054,0.00006427585,0.00021392005,0.00012539842,0.7776891,0.00008788476,0.21902731,0.0019266332,0.00006722754],"about_ca_topic_score_codex":0.016340619,"about_ca_topic_score_gemma":0.008743822,"teacher_disagreement_score":0.020665493,"about_ca_system_score_codex":0.004973545,"about_ca_system_score_gemma":0.0036483437,"threshold_uncertainty_score":0.06913298},"labels":[],"label_agreement":null},{"id":"W2057625365","doi":"10.1016/s0167-6296(99)00024-7","title":"The willingness to pay for wait reduction: the disutility of queues for cataract surgery in Canada, Denmark, and Spain","year":2000,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":66,"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":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Willingness to pay; Cataract surgery; Medicine; Queue; Optometry; Surgery; Economics","score_opus":0.06675378224634845,"score_gpt":0.2821144746133229,"score_spread":0.21536069236697444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057625365","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":[0.99221605,0.0016679894,0.00010976379,0.0024836205,0.000028426972,0.000016030237,0.002228774,0.0000070789215,0.0012423528],"genre_scores_gemma":[0.9979158,0.00039236565,0.000061575796,0.00012480312,0.000008982191,0.0000045827874,0.00074594485,0.000005000682,0.00074094004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821943,0.00022262038,0.00012683644,0.00016565592,0.00030581592,0.0009595735],"domain_scores_gemma":[0.990974,0.0021907322,0.0014345527,0.0002026609,0.0017846879,0.0034133147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027104898,0.00034240427,0.0009038769,0.0014035346,0.0016463405,0.0034868673,0.0023699969,0.001949379,0.0026669113],"category_scores_gemma":[0.010179507,0.00041959033,0.0016426992,0.0029837906,0.00133539,0.001116521,0.0013579793,0.0023072315,0.00012717175],"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":[0.0024200582,0.00027665266,0.9653417,0.00014464678,0.0006161745,0.00038648897,0.0015489215,0.009146323,0.00016436365,0.004646428,0.005721685,0.009586586],"study_design_scores_gemma":[0.00018924495,0.00011317157,0.97600955,0.00014776425,0.00035414073,0.00017921059,0.00817117,0.010380153,0.0001413036,0.0017750363,0.0024269368,0.00011225595],"about_ca_topic_score_codex":0.9862148,"about_ca_topic_score_gemma":0.9874445,"teacher_disagreement_score":0.0451657,"about_ca_system_score_codex":0.0451657,"about_ca_system_score_gemma":0.03888983,"threshold_uncertainty_score":0.32770163},"labels":[],"label_agreement":null},{"id":"W2058158134","doi":"10.1016/j.jhealeco.2010.06.004","title":"Bribery in health care in Uganda","year":2010,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"University of California, Davis; Social Sciences and Humanities Research Council of Canada; McGill University; University of California Berkeley","keywords":"Public sector; Private sector; Health care; Government (linguistics); Business; Price elasticity of demand; Income elasticity of demand; Competition (biology); Labour economics; Public economics; Demographic economics; Economics; Economic growth","score_opus":0.026121665763036574,"score_gpt":0.34229735459078486,"score_spread":0.31617568882774827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058158134","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":[0.97602135,0.0027593262,0.00008454536,0.015533361,0.000078754085,0.00003760852,0.00013917005,0.000002627084,0.0053431387],"genre_scores_gemma":[0.9981694,0.00058004697,0.000033949404,0.0005420833,0.00002511177,0.00001314889,0.000015792486,0.0000016375508,0.00061880203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945463,0.0023092672,0.00027342964,0.00012357793,0.00025275498,0.002494738],"domain_scores_gemma":[0.987997,0.0031107042,0.004435157,0.00013989721,0.00087694806,0.0034402835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002891556,0.00022300966,0.00062397856,0.0022255566,0.0056207404,0.004804622,0.00086259266,0.002006669,0.0060600173],"category_scores_gemma":[0.011465646,0.0006438519,0.00034225706,0.0031296127,0.003783687,0.0017295674,0.0074322834,0.003786941,0.00019485141],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043102127,0.0005584352,0.8579276,0.00058885285,0.00023042574,0.005145918,0.058531273,0.0012581093,0.00036125057,0.043020744,0.008424589,0.02352161],"study_design_scores_gemma":[0.000110328,0.0002964454,0.88561404,0.0012115363,0.00009633052,0.0012626997,0.092916355,0.0010891518,0.00016729321,0.005944784,0.011230234,0.000060830673],"about_ca_topic_score_codex":0.07963477,"about_ca_topic_score_gemma":0.17703491,"teacher_disagreement_score":0.07963477,"about_ca_system_score_codex":0.012440751,"about_ca_system_score_gemma":0.012449207,"threshold_uncertainty_score":0.15834254},"labels":[],"label_agreement":null},{"id":"W2058639052","doi":"10.1016/s0167-6296(02)00012-7","title":"The effects of drug subsidies on out-of-pocket prescription drug expenditures by seniors: regional evidence from Canada","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Joseph's Hospital; York University; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; National Academy of Social Insurance","keywords":"Subsidy; Medical prescription; Prescription drug; Welfare; Medicare Part D; Cash; Economics; Drug; Public economics; Medicine; Finance","score_opus":0.05482155235367519,"score_gpt":0.2646589607268029,"score_spread":0.2098374083731277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058639052","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":[0.980113,0.004171027,0.000084463776,0.0044838125,0.000029172645,0.000037488404,0.0046815635,0.000016686143,0.0063826293],"genre_scores_gemma":[0.9949846,0.0018208211,0.00008434263,0.00042997574,0.000020540301,0.000008045661,0.0011147378,0.000005288484,0.0015315817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997349,0.00040365828,0.00009901745,0.00019280879,0.0006857421,0.0012697172],"domain_scores_gemma":[0.9859185,0.0033429917,0.0030424907,0.0003192469,0.004263971,0.0031127322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001583596,0.00031387998,0.00080415304,0.0015636382,0.0019689782,0.0018463887,0.0014263625,0.0009637673,0.0031325968],"category_scores_gemma":[0.010805454,0.00033638885,0.0013287246,0.003841312,0.0018350029,0.0005392863,0.0012205987,0.0013651041,0.00018939517],"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":[0.0018638647,0.00030484673,0.9647714,0.0002970384,0.0005719431,0.00039229196,0.0012352421,0.0023991729,0.00031404014,0.0020088872,0.010025521,0.01581585],"study_design_scores_gemma":[0.00012992036,0.000091059475,0.994216,0.000082005485,0.00042667266,0.000050104143,0.0014535785,0.00050828094,0.00015646298,0.00016529362,0.0026981602,0.000022607346],"about_ca_topic_score_codex":0.9957141,"about_ca_topic_score_gemma":0.9976808,"teacher_disagreement_score":0.031740524,"about_ca_system_score_codex":0.031740524,"about_ca_system_score_gemma":0.039805777,"threshold_uncertainty_score":0.2302947},"labels":[],"label_agreement":null},{"id":"W2059431757","doi":"10.1016/j.jhealeco.2011.05.007","title":"Opportunities and benefits as determinants of the direction of scientific research","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Aging","keywords":"Productivity; Medical research; Quality (philosophy); Work (physics); Private sector; Business; Management science; Economics; Public relations; Political science; Medicine; Engineering; Economic growth","score_opus":0.41999462465370435,"score_gpt":0.341126352644643,"score_spread":0.07886827200906132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059431757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96333826,0.0023498451,0.0032126524,0.008171683,0.00010700036,0.000057507197,0.00038015988,0.000045500048,0.022337316],"genre_scores_gemma":[0.99885154,0.00024721102,0.00028432003,0.00007239835,0.00008828941,0.0000068559916,0.00004017162,0.0000065861095,0.00040271046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99194545,0.004177044,0.00074533594,0.00042584966,0.0014938746,0.0012124353],"domain_scores_gemma":[0.6574709,0.25154027,0.047625866,0.0062973434,0.01014052,0.026925122],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.015373141,0.00022930767,0.00054206426,0.0038538093,0.0009315259,0.005890786,0.0005838547,0.0021869715,0.0061424477],"category_scores_gemma":[0.1168473,0.00044479847,0.00057630433,0.0019668646,0.0038925204,0.0042850818,0.0028268073,0.0029130063,0.0005873456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017962827,0.0005502845,0.93246657,0.00015570798,0.000320491,0.00041662942,0.00056936394,0.002407994,0.00094670535,0.0347373,0.0012195068,0.024413085],"study_design_scores_gemma":[0.0003773988,0.0007153392,0.8451472,0.00015991963,0.00054778246,0.0006917893,0.0019095751,0.01064274,0.0015722776,0.13338354,0.0047522276,0.000100201105],"about_ca_topic_score_codex":0.0012641101,"about_ca_topic_score_gemma":0.0032634295,"teacher_disagreement_score":0.9846269,"about_ca_system_score_codex":0.0010896792,"about_ca_system_score_gemma":0.001823387,"threshold_uncertainty_score":0.08130193},"labels":[],"label_agreement":null},{"id":"W2067675266","doi":"10.1016/j.jhealeco.2010.06.007","title":"Is newer always better? Re-evaluating the benefits of newer pharmaceuticals","year":2010,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"U.S. Department of Veterans Affairs","keywords":"Observational study; Replicate; Actuarial science; Medicine; Test (biology); Economics; Econometrics; Statistics; Internal medicine","score_opus":0.243692680031206,"score_gpt":0.41715412907153016,"score_spread":0.17346144904032415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067675266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41935524,0.24845159,0.0069565815,0.25343975,0.0067987805,0.00031239173,0.0055274097,0.00012277832,0.05903543],"genre_scores_gemma":[0.9690596,0.017088741,0.0022074513,0.006708642,0.0031640898,0.000029964342,0.00035178722,0.000037110924,0.001352685],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9829419,0.010289517,0.001457279,0.00078758196,0.0038666043,0.00065711024],"domain_scores_gemma":[0.8337677,0.121592484,0.01881226,0.0059625567,0.016938051,0.0029269014],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.026859745,0.0008207822,0.002470703,0.0023883837,0.00063265284,0.0062100436,0.0014130345,0.0024793183,0.009492391],"category_scores_gemma":[0.1611529,0.0003506209,0.0017840941,0.0020252957,0.001755317,0.008987145,0.0014381121,0.0035214103,0.00072116964],"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":[0.029491143,0.0009818653,0.08390126,0.005529433,0.008804914,0.0012112681,0.000987713,0.019567972,0.002263045,0.070939966,0.07487547,0.701446],"study_design_scores_gemma":[0.005821648,0.010780091,0.25764927,0.012316045,0.033619948,0.0027501364,0.007828539,0.057267793,0.013179651,0.2866206,0.311353,0.000813401],"about_ca_topic_score_codex":0.0072086724,"about_ca_topic_score_gemma":0.00904707,"teacher_disagreement_score":0.97314024,"about_ca_system_score_codex":0.004399311,"about_ca_system_score_gemma":0.004006796,"threshold_uncertainty_score":0.14204961},"labels":[],"label_agreement":null},{"id":"W2068526745","doi":"10.1016/s0167-6296(00)00082-5","title":"Avoiding health insurance crowd-out: evidence from the medicare as secondary payer legislation","year":2001,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Robert Wood Johnson Foundation","keywords":"Payment; Business; Legislation; Compliance (psychology); Health insurance; Actuarial science; Public health insurance; Group insurance; Insurance policy; General insurance; Health care; Finance; Income protection insurance; Economics; Economic growth","score_opus":0.12715350134472744,"score_gpt":0.33124772458761303,"score_spread":0.2040942232428856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068526745","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":[0.78433996,0.012073949,0.0013749789,0.09017351,0.0005985651,0.00031039218,0.0023896617,0.00008757406,0.108651355],"genre_scores_gemma":[0.98411673,0.001363727,0.00019972035,0.011004279,0.00045931846,0.000067788125,0.00027641165,0.000013873788,0.0024981194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98306817,0.008019903,0.00062629505,0.0010850177,0.0032385944,0.0039620684],"domain_scores_gemma":[0.74371547,0.20642664,0.031655,0.006025829,0.0048516407,0.007325389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020952655,0.00059166574,0.002142239,0.0019279729,0.002797751,0.003450184,0.0028018835,0.009957391,0.017278787],"category_scores_gemma":[0.10880614,0.0005548238,0.0017871396,0.0019232295,0.006949555,0.003595613,0.004512313,0.0052561206,0.0009870192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019157983,0.008670335,0.515073,0.002369593,0.0038359119,0.0016721484,0.0061232867,0.009268555,0.0010081233,0.19565491,0.11015835,0.12700786],"study_design_scores_gemma":[0.0075803827,0.005710297,0.741255,0.0027384118,0.005311482,0.0007562159,0.009353341,0.0056458367,0.0036511547,0.10942268,0.10829173,0.00028341074],"about_ca_topic_score_codex":0.023796078,"about_ca_topic_score_gemma":0.026604189,"teacher_disagreement_score":0.023796078,"about_ca_system_score_codex":0.002435443,"about_ca_system_score_gemma":0.006636116,"threshold_uncertainty_score":0.110809565},"labels":[],"label_agreement":null},{"id":"W2068972990","doi":"10.1016/j.jhealeco.2008.11.006","title":"The impact of poor health on academic performance: New evidence using genetic markers","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":220,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Endogeneity; Dynamism; Natural experiment; Depression (economics); Psychology; Environmental health; Gerontology; Medicine; Economics; Econometrics","score_opus":0.09567523769023568,"score_gpt":0.3918664249807689,"score_spread":0.29619118729053323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068972990","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":[0.93041605,0.05446787,0.001926488,0.00480367,0.00035018253,0.000029202129,0.001561108,0.000021510565,0.0064239455],"genre_scores_gemma":[0.976862,0.019137897,0.0009838856,0.0011898002,0.0005292738,0.000020587648,0.0005978531,0.000016684362,0.00066201395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944606,0.0032840676,0.0003359032,0.0009391924,0.00061090116,0.0003693935],"domain_scores_gemma":[0.940468,0.04707185,0.0055729114,0.0041244165,0.0013686473,0.0013941143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009484199,0.0016584275,0.0016307932,0.002543821,0.0010102234,0.0031725501,0.0017259364,0.0035417345,0.0033505096],"category_scores_gemma":[0.02719891,0.0007724024,0.0023261474,0.0044001737,0.0038435878,0.0015556129,0.0019883902,0.0023103752,0.0003217149],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035540313,0.0005051894,0.95183915,0.0003835988,0.009486296,0.00062033377,0.0003565968,0.0008732795,0.00067269325,0.0010576416,0.00078328216,0.029867828],"study_design_scores_gemma":[0.00027754242,0.0008310192,0.98032194,0.00034641376,0.01009338,0.0003676857,0.00040297414,0.0006545726,0.00047461104,0.0036917652,0.0024800696,0.000058118047],"about_ca_topic_score_codex":0.016635371,"about_ca_topic_score_gemma":0.014876914,"teacher_disagreement_score":0.016635371,"about_ca_system_score_codex":0.0005677146,"about_ca_system_score_gemma":0.00079735345,"threshold_uncertainty_score":0.050157845},"labels":[],"label_agreement":null},{"id":"W2071067540","doi":"10.1016/s0167-6296(03)00043-2","title":"Resource allocation for control of infectious diseases in multiple independent populations: beyond cost-effectiveness analysis","year":2003,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":147,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute on Drug Abuse; World Health Organization","keywords":"Resource allocation; Population; Optimal allocation; Investment (military); Epidemic control; Control (management); Optimal control; Time horizon; Limited resources; Computer science; Scale (ratio); Economics; Operations research; Actuarial science; Risk analysis (engineering); Medicine; Mathematical optimization; Environmental health; Infectious disease (medical specialty); Mathematics; Geography; Coronavirus disease 2019 (COVID-19); Finance; Disease","score_opus":0.207248800733885,"score_gpt":0.43320871797476534,"score_spread":0.22595991724088035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071067540","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":[0.15266144,0.020321762,0.78019273,0.027644182,0.00072604103,0.0014903833,0.0006869831,0.00015225615,0.016124234],"genre_scores_gemma":[0.9458586,0.0066876886,0.042874724,0.0011153554,0.00063574733,0.00064096216,0.00017631824,0.00004545269,0.0019651728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97493345,0.02148842,0.0005972699,0.00080095924,0.0012255588,0.000954356],"domain_scores_gemma":[0.96320075,0.033560954,0.0014353001,0.0006783425,0.00051778316,0.00060692156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018279102,0.0021823,0.004994039,0.0019256216,0.00045686803,0.0029916796,0.0027249996,0.0025573373,0.005473076],"category_scores_gemma":[0.055667013,0.0011326494,0.002341374,0.0017271882,0.0020503288,0.00576617,0.0023242955,0.0030577006,0.0001583521],"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":[0.0015120122,0.0005711351,0.004346013,0.00089177454,0.002141624,0.00025283155,0.00014595735,0.78187525,0.0003905783,0.122291856,0.0025044794,0.08307655],"study_design_scores_gemma":[0.00083415734,0.0005788297,0.0027411901,0.00027522258,0.0010461599,0.00024408194,0.00020751564,0.71326447,0.000289095,0.27875432,0.0016967246,0.000068228146],"about_ca_topic_score_codex":0.00610539,"about_ca_topic_score_gemma":0.0036785214,"teacher_disagreement_score":0.018279102,"about_ca_system_score_codex":0.0039420407,"about_ca_system_score_gemma":0.004513114,"threshold_uncertainty_score":0.09667033},"labels":[],"label_agreement":null},{"id":"W2073341502","doi":"10.1016/j.jhealeco.2008.09.005","title":"Physician financial incentives and cesarean delivery: New conclusions from the healthcare cost and utilization project","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":128,"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":"Reimbursement; Cesarean delivery; Incentive; Childbirth; Medicine; Quarter (Canadian coin); Sample (material); Health care; Actuarial science; Economics; Obstetrics; Pregnancy","score_opus":0.15551524108019502,"score_gpt":0.31439765092413124,"score_spread":0.15888240984393623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073341502","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":[0.94242215,0.0071782847,0.0016922014,0.03796428,0.00022554121,0.0000481309,0.004667399,0.000020064805,0.0057818643],"genre_scores_gemma":[0.9900385,0.0028622434,0.000564233,0.0020392744,0.0004826136,0.00004028369,0.0026156614,0.000021229895,0.0013360559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957497,0.0028880285,0.00016125628,0.00024320821,0.00048477956,0.00047310325],"domain_scores_gemma":[0.86699015,0.11277448,0.009843678,0.0024964062,0.0034901067,0.0044052424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012070786,0.00054651056,0.0011729168,0.0015757655,0.0009246728,0.0029903175,0.0021261657,0.0029107719,0.0062474734],"category_scores_gemma":[0.051656846,0.000438764,0.0012674226,0.0040765773,0.0013265181,0.0026644557,0.002872371,0.0032295312,0.0003254948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002299683,0.0009712508,0.918738,0.00022665563,0.0011601431,0.0004165751,0.00070197094,0.009910699,0.00007589095,0.010370966,0.022305539,0.032822706],"study_design_scores_gemma":[0.0005775613,0.0004764048,0.939025,0.00028315777,0.0020024984,0.00021457953,0.0056745512,0.019472856,0.00037287743,0.020641666,0.011141342,0.000117444266],"about_ca_topic_score_codex":0.022713296,"about_ca_topic_score_gemma":0.02274422,"teacher_disagreement_score":0.022713296,"about_ca_system_score_codex":0.0010746763,"about_ca_system_score_gemma":0.0021934302,"threshold_uncertainty_score":0.06383723},"labels":[],"label_agreement":null},{"id":"W2076928451","doi":"10.1016/s0167-6296(02)00035-8","title":"Should the US allow prescription drug reimports from Canada?","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":76,"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":"Outrage; Legislation; Economics; Drug prices; Bargaining problem; Unit price; Business; Public economics; Microeconomics; Law","score_opus":0.11640730136987056,"score_gpt":0.28394609539247034,"score_spread":0.1675387940225998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076928451","genre_codex":"commentary","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":[0.045917057,0.009244756,0.0004748144,0.8458641,0.0032245512,0.0001498054,0.0047129192,0.00019605353,0.09021598],"genre_scores_gemma":[0.37664223,0.007398652,0.0015510983,0.5497685,0.0027088204,0.00011032893,0.0011596755,0.00013868563,0.060521957],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9901664,0.00079252856,0.0003414295,0.0005602216,0.0032306297,0.0049087],"domain_scores_gemma":[0.97206986,0.0044701714,0.0018185478,0.0007400785,0.012669374,0.008232047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006027531,0.00059189193,0.0010976436,0.0015477526,0.007483956,0.007907969,0.0028264702,0.016099392,0.015581124],"category_scores_gemma":[0.03592709,0.00063639437,0.0016303934,0.0023194135,0.0026756388,0.0035306532,0.0024387978,0.01001705,0.001077636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007319642,0.0001964685,0.04613551,0.00036450886,0.00043478012,0.0012347915,0.0011949204,0.003052404,0.00071121345,0.13100085,0.77018136,0.04476125],"study_design_scores_gemma":[0.0008199782,0.00016721278,0.07883693,0.0010342804,0.000803129,0.00046607692,0.0030460802,0.0032581086,0.001981902,0.020261617,0.88889265,0.00043204296],"about_ca_topic_score_codex":0.9883796,"about_ca_topic_score_gemma":0.9939632,"teacher_disagreement_score":0.053770144,"about_ca_system_score_codex":0.053770144,"about_ca_system_score_gemma":0.25772756,"threshold_uncertainty_score":0.39013147},"labels":[],"label_agreement":null},{"id":"W2086604706","doi":"10.1016/s0167-6296(02)00103-0","title":"Choices, beliefs, and infectious disease dynamics","year":2003,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":136,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Pessimism; Psychological intervention; Disease; Infectious disease (medical specialty); Intervention (counseling); Epidemic model; Economics; Medicine; Psychology; Intensive care medicine; Environmental health; Psychiatry","score_opus":0.13637517339948632,"score_gpt":0.4037391369037086,"score_spread":0.2673639635042223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086604706","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":[0.92895573,0.0032360884,0.031807642,0.018186538,0.00006041602,0.000030130395,0.0003939666,0.00003388243,0.017295497],"genre_scores_gemma":[0.9945682,0.0011927852,0.0015554827,0.00016073258,0.00004383511,0.000013018576,0.00006053175,0.0000036336617,0.0024016774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990952,0.00058530935,0.000036329424,0.00007667183,0.00008935278,0.000117142605],"domain_scores_gemma":[0.9753634,0.020965561,0.0020261973,0.00056044967,0.00036324255,0.0007212242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034683973,0.00029065312,0.00042840483,0.0009557647,0.00053637737,0.0028847547,0.00052179664,0.0015590332,0.008280651],"category_scores_gemma":[0.023558158,0.0003003691,0.00033360717,0.0010558496,0.0021797472,0.0030949132,0.00091584364,0.0015237253,0.00031860737],"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":[0.0006096314,0.0004892186,0.10000463,0.00012583923,0.00021602419,0.0003522196,0.0020588213,0.021996675,0.00050507457,0.83113617,0.0027670248,0.039738655],"study_design_scores_gemma":[0.000083620806,0.00009184317,0.018623918,0.00004477534,0.000047230307,0.00012671758,0.0013039381,0.03915798,0.00010361975,0.9383809,0.0020112994,0.00002419804],"about_ca_topic_score_codex":0.0028382323,"about_ca_topic_score_gemma":0.0023281733,"teacher_disagreement_score":0.008280651,"about_ca_system_score_codex":0.0009628995,"about_ca_system_score_gemma":0.0004162206,"threshold_uncertainty_score":0.027701557},"labels":[],"label_agreement":null},{"id":"W2087181784","doi":"10.1016/j.jhealeco.2013.11.008","title":"Measuring socioeconomic health inequalities in presence of multiple categorical information","year":2013,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Categorical variable; Inequality; Health equity; Context (archaeology); Mathematics; Scale (ratio); Econometrics; Statistics; Population; Medicine; Public health; Geography; Environmental health","score_opus":0.1265647799724381,"score_gpt":0.3965263517396222,"score_spread":0.2699615717671841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087181784","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":[0.99181783,0.00012389835,0.003851031,0.00048115672,0.00003191854,0.00003277962,0.0019741785,0.000013808626,0.0016734123],"genre_scores_gemma":[0.9976674,0.00002263208,0.0016380312,0.000030711926,0.000021461821,0.000029403645,0.0005016837,0.0000013279812,0.000087419074],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.985321,0.008298496,0.0012175811,0.001129077,0.002692713,0.0013411428],"domain_scores_gemma":[0.90693957,0.071459666,0.012535821,0.004465272,0.0032479633,0.0013516219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00802697,0.00038549947,0.00058291364,0.0021262334,0.0008391472,0.0016816084,0.0012090263,0.0011062077,0.0031780137],"category_scores_gemma":[0.06500105,0.00032374405,0.0011175547,0.0032460669,0.0010329256,0.0019498597,0.0020879593,0.0013304189,0.0001758666],"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":[0.00047406903,0.00035351247,0.9850553,0.000095587144,0.00046288435,0.00010379321,0.00030930183,0.0021594036,0.000353029,0.0019992378,0.00042920443,0.008204715],"study_design_scores_gemma":[0.00005080942,0.0008255386,0.96244246,0.00010065283,0.00052482786,0.00027953976,0.0018977638,0.023344232,0.0013582304,0.008082617,0.0010437876,0.0000494893],"about_ca_topic_score_codex":0.008564236,"about_ca_topic_score_gemma":0.011955757,"teacher_disagreement_score":0.008564236,"about_ca_system_score_codex":0.0008244425,"about_ca_system_score_gemma":0.0010477268,"threshold_uncertainty_score":0.042451203},"labels":[],"label_agreement":null},{"id":"W2090477204","doi":"10.1016/j.jhealeco.2010.07.001","title":"Health, aging and childhood socio-economic conditions in Mexico","year":2010,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute on Aging","keywords":"Affect (linguistics); Socioeconomic status; Panel data; Demographic economics; Gerontology; Psychology; Economics; Environmental health; Medicine","score_opus":0.02059089840102956,"score_gpt":0.35140934219836034,"score_spread":0.3308184437973308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090477204","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":[0.9987674,0.00035560233,0.00003222967,0.00011514326,0.0000029301361,0.0000026993343,0.000360183,7.4365545e-7,0.00036298978],"genre_scores_gemma":[0.9987803,0.00047448976,0.000076665645,0.00002707528,0.000008847279,0.0000051569564,0.000385728,4.7734795e-7,0.00024127195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999863,0.00003574476,0.000008302726,0.000021806327,0.000013443536,0.000057646525],"domain_scores_gemma":[0.999286,0.00013622636,0.00039601637,0.000035618195,0.000049504528,0.00009663949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004420446,0.00016057797,0.00020325984,0.00062699773,0.00053929427,0.0005662012,0.00021012477,0.00025713045,0.0014473473],"category_scores_gemma":[0.001064013,0.00009580907,0.0002859827,0.00077572913,0.00022354678,0.0002820104,0.0007090961,0.00034065612,0.00006960741],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003292718,0.000044370856,0.9979,0.000007818511,0.000044186872,0.000051649935,0.00014347053,0.0001108794,0.000045262743,0.00012202015,0.00009252374,0.0014048372],"study_design_scores_gemma":[0.0000030411702,0.000037341826,0.9990563,0.000009783363,0.0000339035,0.00003146786,0.00033248082,0.000109223714,0.00003215897,0.000042127806,0.00031072684,0.000001470597],"about_ca_topic_score_codex":0.06529196,"about_ca_topic_score_gemma":0.10817343,"teacher_disagreement_score":0.06529196,"about_ca_system_score_codex":0.0005911703,"about_ca_system_score_gemma":0.00042222426,"threshold_uncertainty_score":0.12982386},"labels":[],"label_agreement":null},{"id":"W2094685391","doi":"10.1016/j.jhealeco.2007.05.004","title":"Is the impact of managed care on hospital prices decreasing?","year":2007,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Endogeneity; Managed care; Economics; Monetary economics; Microeconomics; Econometrics; Health care","score_opus":0.050511468942280556,"score_gpt":0.3324136850463219,"score_spread":0.28190221610404137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094685391","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":[0.823724,0.015799599,0.0011345674,0.11741801,0.00035567462,0.000034148117,0.0023856957,0.00007136538,0.039076872],"genre_scores_gemma":[0.99275583,0.002547119,0.00015954982,0.0027456973,0.0006551406,0.000006184896,0.00030158018,0.000014977538,0.00081394037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759126,0.0008837286,0.00016890708,0.00024073756,0.00038186507,0.0007336065],"domain_scores_gemma":[0.9482515,0.030110274,0.015671661,0.001027904,0.0028336688,0.0021049143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033572821,0.0003410137,0.0009910304,0.0010569678,0.0005058923,0.0032131686,0.0013474226,0.0027815318,0.012166302],"category_scores_gemma":[0.04991493,0.0003672393,0.0014614188,0.0017716602,0.0012253993,0.0023543942,0.000603169,0.0025599112,0.00082912925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030433766,0.0008353723,0.80149007,0.00073675107,0.0012670581,0.0010936753,0.0006664064,0.0043478287,0.001585314,0.0315793,0.017729454,0.13562544],"study_design_scores_gemma":[0.000345355,0.00038447377,0.9609692,0.00026001202,0.00090408704,0.0005721326,0.0011203245,0.0064097634,0.0007399435,0.021176977,0.0070797503,0.00003791711],"about_ca_topic_score_codex":0.021628022,"about_ca_topic_score_gemma":0.017156588,"teacher_disagreement_score":0.021628022,"about_ca_system_score_codex":0.0025375169,"about_ca_system_score_gemma":0.0022026645,"threshold_uncertainty_score":0.043004274},"labels":[],"label_agreement":null},{"id":"W2095011630","doi":"10.1016/j.jhealeco.2007.02.001","title":"Worker sorting, compensating differentials and health insurance: Evidence from displaced workers","year":2007,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; Fudan University","keywords":"Sorting; Economics; Health insurance; Wage; Inequality; Labour economics; Actuarial science; Demographic economics; Health care; Economic growth","score_opus":0.13907244837841523,"score_gpt":0.34927668111002563,"score_spread":0.2102042327316104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095011630","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":[0.99798477,0.00040492936,0.00007594395,0.00041292392,0.0000063677203,0.0000114585955,0.0002580862,0.0000010500873,0.0008443473],"genre_scores_gemma":[0.99753225,0.00040844086,0.000076221586,0.00020436646,0.000015669744,0.00001279608,0.0003833388,0.000001281982,0.0013655077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989004,0.000460406,0.00007667457,0.00010337567,0.00019719651,0.00026193546],"domain_scores_gemma":[0.97900826,0.013490163,0.004394735,0.0011724882,0.0010917698,0.0008425283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030780507,0.00032902404,0.00070429523,0.0012892048,0.0015281542,0.0011227721,0.001482445,0.0018600746,0.008928523],"category_scores_gemma":[0.014539957,0.0003355065,0.00043835636,0.0030266708,0.0019944059,0.00088061,0.0014062847,0.0011098852,0.00084977463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023055892,0.0011057443,0.9661013,0.00020853241,0.00032045224,0.00059367233,0.004988362,0.0007884505,0.0003913359,0.0021287878,0.0019981652,0.019069552],"study_design_scores_gemma":[0.0006367292,0.0011277929,0.9570858,0.00018363245,0.00040641104,0.00040428218,0.02976611,0.00092255085,0.00059407164,0.0035561621,0.0052670743,0.00004936512],"about_ca_topic_score_codex":0.06950117,"about_ca_topic_score_gemma":0.06949164,"teacher_disagreement_score":0.06950117,"about_ca_system_score_codex":0.00090000406,"about_ca_system_score_gemma":0.0011051634,"threshold_uncertainty_score":0.13819325},"labels":[],"label_agreement":null},{"id":"W2099428465","doi":"10.1016/j.jhealeco.2018.01.004","title":"Can Amputation Save the Hospital? The Impact of the Medicare Rural Flexibility Program on Demand and Welfare","year":2013,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Agency for Healthcare Research and Quality","keywords":"Welfare; FLEX; Flexibility (engineering); Reimbursement; Business; Closure (psychology); Per capita; Medicine; Operations management; Economics; Economic growth; Health care; Environmental health; Engineering; Population","score_opus":0.03508507852371867,"score_gpt":0.30969684907191924,"score_spread":0.2746117705482006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099428465","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":[0.91299736,0.001812862,0.00039548994,0.07165198,0.00009069952,0.000015874804,0.001590588,0.000019181167,0.011425974],"genre_scores_gemma":[0.99783,0.0003002892,0.000041710773,0.00094459153,0.000078960125,0.0000036090212,0.0001310356,0.000003787311,0.0006660511],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845994,0.00067286444,0.000028251297,0.00006493223,0.00014579343,0.0006282322],"domain_scores_gemma":[0.9928647,0.0036894723,0.0014345893,0.00020666193,0.00039076962,0.0014136793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017099824,0.0002000352,0.000363653,0.00060855196,0.00066924526,0.0015686405,0.0008295686,0.0016426233,0.0107483165],"category_scores_gemma":[0.012750433,0.00014693369,0.00066572044,0.0013451875,0.0012418537,0.0016746362,0.0013103163,0.0018435637,0.0003772581],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007969311,0.0039111846,0.6944292,0.0003237315,0.0007282098,0.0010967228,0.0018789009,0.029089233,0.0021546052,0.06948132,0.039345477,0.14959203],"study_design_scores_gemma":[0.0004940945,0.0014665758,0.89145833,0.00025492412,0.0004297246,0.00044433615,0.009769143,0.020238355,0.0008334323,0.056787144,0.017710613,0.00011323436],"about_ca_topic_score_codex":0.028611597,"about_ca_topic_score_gemma":0.04641996,"teacher_disagreement_score":0.028611597,"about_ca_system_score_codex":0.0031909568,"about_ca_system_score_gemma":0.0026426518,"threshold_uncertainty_score":0.05689013},"labels":[],"label_agreement":null},{"id":"W2100312838","doi":"10.1016/s0167-6296(00)00041-2","title":"Costs and outcomes associated with alternative discharge strategies following joint replacement surgery: analysis of an observational study using a propensity score","year":2000,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wellesley Institute; University of Toronto; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Observational study; Propensity score matching; Acute care; Health care; Rehabilitation; Emergency medicine; Intensive care medicine; Physical therapy; Surgery; Internal medicine; Economics","score_opus":0.3574197330584968,"score_gpt":0.3648900134505348,"score_spread":0.007470280392038009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100312838","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":[0.999416,0.0000798932,0.0001520011,0.000019314859,0.000003855361,0.0000143793,0.00027084025,0.0000015228882,0.000042254615],"genre_scores_gemma":[0.99862814,0.000076176126,0.00017498391,0.000015434654,0.000011231661,0.000024876928,0.0009966666,0.0000027839312,0.00006980514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954471,0.0022440993,0.0007120027,0.0006844736,0.00048277416,0.00042951497],"domain_scores_gemma":[0.9729537,0.009512801,0.011539908,0.0033019586,0.0013026394,0.0013890163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049466244,0.00059791066,0.0012356474,0.0015772262,0.0007720481,0.0013815594,0.0012624009,0.0015825967,0.0013866297],"category_scores_gemma":[0.017798852,0.0008591597,0.003345771,0.0034519567,0.0012477582,0.0015627459,0.0012672154,0.0017302872,0.00023422089],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034923537,0.000490792,0.9926737,0.000025377938,0.001186791,0.00008794557,0.00012146621,0.00050162,0.00024121633,0.000094858704,0.00010160541,0.0009821964],"study_design_scores_gemma":[0.00020390302,0.0009838671,0.99475116,0.000008158455,0.00041952633,0.00018564785,0.0002611633,0.0028145555,0.00009625434,0.00016802496,0.0000765842,0.000031227224],"about_ca_topic_score_codex":0.008979516,"about_ca_topic_score_gemma":0.006945479,"teacher_disagreement_score":0.008979516,"about_ca_system_score_codex":0.0010931487,"about_ca_system_score_gemma":0.0010875723,"threshold_uncertainty_score":0.026160538},"labels":[],"label_agreement":null},{"id":"W2102429071","doi":"10.1016/j.jhealeco.2005.12.006","title":"Scale and scope efficiencies through hospital consolidations","year":2006,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Scope (computer science); Restructuring; Economies of scale; Economies of scope; Consolidation (business); Scale (ratio); Economics; Function (biology); Variety (cybernetics); Accounting; Microeconomics; Computer science; Finance","score_opus":0.03982357870389656,"score_gpt":0.27384492421466283,"score_spread":0.23402134551076628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102429071","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":[0.9243205,0.0010690237,0.025596322,0.0038990865,0.000060685157,0.000064522974,0.00042095475,0.00015167984,0.04441716],"genre_scores_gemma":[0.99681205,0.0001343623,0.00052677916,0.00006367542,0.000037407473,0.000007909942,0.000035504545,0.000011812629,0.0023704327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980192,0.00053485227,0.00012366744,0.00029048926,0.00032157972,0.0007102095],"domain_scores_gemma":[0.98640823,0.006559762,0.0030939793,0.0012548668,0.0013469574,0.0013361197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026063828,0.0003959153,0.001013194,0.0011405911,0.0008287225,0.0041613765,0.001083033,0.0015964335,0.01655112],"category_scores_gemma":[0.023852397,0.0005224623,0.0007786364,0.0018006929,0.0028722235,0.0057093897,0.0025136038,0.0013526446,0.00080260116],"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":[0.00085082353,0.00031989638,0.06462273,0.00019531167,0.00023936294,0.0008235996,0.001502997,0.150125,0.0037910515,0.6990917,0.008022703,0.07041484],"study_design_scores_gemma":[0.00024142681,0.00034548182,0.083486065,0.00009944829,0.00022634961,0.0003654312,0.0049261446,0.07568153,0.0023801422,0.82323605,0.008945422,0.000066604385],"about_ca_topic_score_codex":0.004260156,"about_ca_topic_score_gemma":0.0043763653,"teacher_disagreement_score":0.01655112,"about_ca_system_score_codex":0.0023680383,"about_ca_system_score_gemma":0.0014627688,"threshold_uncertainty_score":0.05536896},"labels":[],"label_agreement":null},{"id":"W2104378093","doi":"10.1016/j.jhealeco.2013.09.005","title":"The spillover effects of Medicare managed care: Medicare Advantage and hospital utilization","year":2013,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":121,"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":"National Institute on Aging","keywords":"Medicare Advantage; Managed care; Quarter (Canadian coin); Spillover effect; Payment; Health care; Medicine; Business; Finance; Economics","score_opus":0.01718851657226006,"score_gpt":0.37059299614522595,"score_spread":0.3534044795729659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104378093","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":[0.9606113,0.0065944945,0.0006065161,0.01800113,0.00012770502,0.00004790747,0.0012987664,0.000021098465,0.012691125],"genre_scores_gemma":[0.99671125,0.0013790725,0.00006837848,0.00043095445,0.0001918051,0.0000065513655,0.0001954878,0.0000029720643,0.001013471],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981027,0.000841634,0.00009516044,0.000117100026,0.0001596141,0.00068384566],"domain_scores_gemma":[0.9703838,0.019670961,0.0051794574,0.00057121605,0.0007836049,0.0034110418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030493087,0.00037327857,0.00059250207,0.0016422558,0.0009506299,0.0027136998,0.0007452232,0.0026375668,0.01888327],"category_scores_gemma":[0.015829025,0.00034324895,0.001459335,0.0019210834,0.0015032135,0.0024091697,0.0026912852,0.0022980233,0.00048702423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016845099,0.0010199394,0.9317461,0.00017286144,0.0008766481,0.0012808728,0.00072865793,0.008764712,0.00034837145,0.028066453,0.0063550887,0.018955743],"study_design_scores_gemma":[0.00032256645,0.0005734285,0.9453306,0.0003600487,0.0012328216,0.00057174225,0.00687475,0.008286393,0.00056715717,0.030837957,0.0049281223,0.00011427639],"about_ca_topic_score_codex":0.039230783,"about_ca_topic_score_gemma":0.04357563,"teacher_disagreement_score":0.039230783,"about_ca_system_score_codex":0.0026243485,"about_ca_system_score_gemma":0.0030490132,"threshold_uncertainty_score":0.0780049},"labels":[],"label_agreement":null},{"id":"W2105378014","doi":"10.1016/j.jhealeco.2008.06.004","title":"Local labor market fluctuations and health: Is there a connection and for whom?","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":254,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"University of Toronto","keywords":"Metropolitan area; Mental health; Demographic economics; Sample (material); Economics; Gerontology; Labour economics; Psychology; Medicine; Psychiatry","score_opus":0.11923716585638208,"score_gpt":0.4152548246315568,"score_spread":0.2960176587751747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105378014","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":[0.80645263,0.022057438,0.00039010085,0.16263352,0.00023616267,0.000017046168,0.0005227532,0.000017997167,0.0076723467],"genre_scores_gemma":[0.9934869,0.0035522392,0.000055048775,0.0020003482,0.00034203567,0.0000054035722,0.00006634573,0.000005628984,0.00048609497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992366,0.00034658372,0.000035628396,0.00008401544,0.000062576844,0.00023463958],"domain_scores_gemma":[0.9917217,0.002792982,0.0022069972,0.00031778793,0.00071376236,0.0022468816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022131316,0.00016669903,0.00062412216,0.00083472155,0.00085624977,0.004322594,0.00072094455,0.0022381053,0.0079687545],"category_scores_gemma":[0.011499425,0.00030728863,0.00038426588,0.0021823915,0.003397894,0.003399587,0.0016173281,0.0022703833,0.00041382294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046042472,0.00041333283,0.9311785,0.00025638376,0.00027790625,0.00057816965,0.0062853615,0.00063873065,0.00012443906,0.012929913,0.008498864,0.038358003],"study_design_scores_gemma":[0.000045775905,0.00013699515,0.93302745,0.00040687382,0.00014652523,0.00027844158,0.037491057,0.00095535157,0.000044534638,0.021731505,0.00567632,0.00005925085],"about_ca_topic_score_codex":0.04095646,"about_ca_topic_score_gemma":0.060873818,"teacher_disagreement_score":0.04095646,"about_ca_system_score_codex":0.0017872714,"about_ca_system_score_gemma":0.001456694,"threshold_uncertainty_score":0.08143616},"labels":[],"label_agreement":null},{"id":"W2106673865","doi":"10.1016/j.jhealeco.2009.11.001","title":"The additive utility assumption of the QALY model revisited","year":2009,"lang":"en","type":"letter","venue":"Journal of Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Test (biology); Set (abstract data type); Independence (probability theory); Population; Medicine; Quality-adjusted life year; Econometrics; Demography; Actuarial science; Economics; Mathematics; Statistics; Computer science; Cost effectiveness; Environmental health; Sociology","score_opus":0.37771634174023233,"score_gpt":0.430103063255421,"score_spread":0.052386721515188694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106673865","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005136746,0.004454741,0.06857537,0.89284897,0.0032064011,0.000029365325,0.00072125666,0.00007999233,0.024947092],"genre_scores_gemma":[0.47360787,0.008086726,0.045394544,0.40271562,0.046834465,0.00028394742,0.00041264214,0.00029186046,0.022372296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98790365,0.0071171527,0.0007042421,0.0013625761,0.002269501,0.00064289465],"domain_scores_gemma":[0.9295123,0.06346139,0.0015088638,0.002254002,0.0028318067,0.00043161822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02170277,0.0005975181,0.0022323902,0.0009031404,0.00090742816,0.00450118,0.0041894508,0.01515769,0.008574259],"category_scores_gemma":[0.07463405,0.00091906363,0.0018424523,0.0013440857,0.004849203,0.007436847,0.0014919221,0.03383744,0.0018236161],"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":[0.0001226009,0.000029436818,0.0010329807,0.00008438315,0.000092202834,0.00066192966,0.0001912972,0.0026948545,0.00009239719,0.91695654,0.061714202,0.016327241],"study_design_scores_gemma":[0.00007462936,0.00001578317,0.00071592996,0.00011595576,0.000037151996,0.0008155096,0.00008885364,0.012737376,0.000097342185,0.9595688,0.025698503,0.000034286528],"about_ca_topic_score_codex":0.009172752,"about_ca_topic_score_gemma":0.006888571,"teacher_disagreement_score":0.02170277,"about_ca_system_score_codex":0.005577878,"about_ca_system_score_gemma":0.0025832374,"threshold_uncertainty_score":0.11477655},"labels":[],"label_agreement":null},{"id":"W2108953839","doi":"10.1016/j.jhealeco.2003.07.004","title":"Accidents will happen?","year":2003,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Business","score_opus":0.04283745123537606,"score_gpt":0.3686779482402558,"score_spread":0.3258404970048797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108953839","genre_codex":"commentary","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":[0.021259042,0.010793478,0.0004969097,0.8247316,0.0064218817,0.000023580822,0.00056986924,0.000028818407,0.13567483],"genre_scores_gemma":[0.6029001,0.030957254,0.0006682159,0.2644311,0.014244373,0.000108093336,0.00077892694,0.000048956557,0.085863076],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99786633,0.0006752902,0.00013594644,0.00023640145,0.00059822993,0.0004878036],"domain_scores_gemma":[0.9913326,0.002194189,0.0013256976,0.00031281076,0.0025550565,0.0022796188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038903244,0.0003126307,0.00042723134,0.0017486312,0.003019469,0.0048433016,0.00063845864,0.005732937,0.030119017],"category_scores_gemma":[0.023658752,0.00030044903,0.00055097096,0.00094639556,0.00297076,0.0060766526,0.0015393331,0.0047803465,0.004632536],"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":[0.00018329875,0.00027649794,0.06634417,0.00020472376,0.00010926328,0.0009065682,0.004046686,0.00021197731,0.00007518068,0.12529086,0.6883269,0.11402385],"study_design_scores_gemma":[0.00007713623,0.00013829295,0.081499144,0.001414791,0.00020547173,0.0033672047,0.028126216,0.0006115698,0.00015690294,0.18770993,0.6965968,0.00009643289],"about_ca_topic_score_codex":0.013288897,"about_ca_topic_score_gemma":0.024879465,"teacher_disagreement_score":0.030119017,"about_ca_system_score_codex":0.002444726,"about_ca_system_score_gemma":0.004557461,"threshold_uncertainty_score":0.100758195},"labels":[],"label_agreement":null},{"id":"W2109171892","doi":"10.1016/j.jhealeco.2008.10.010","title":"Tobacco taxes and regressivity","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economics; Socioeconomic status; Sample (material); Public economics; Econometrics; Demographic economics; Environmental health; Medicine","score_opus":0.11586380774605838,"score_gpt":0.29041369595414496,"score_spread":0.1745498882080866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109171892","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":[0.79658747,0.020231575,0.02218512,0.05267696,0.0004385526,0.00007494686,0.0013331953,0.0002256852,0.106246494],"genre_scores_gemma":[0.97988945,0.0028167653,0.00046809847,0.0006992359,0.0003358306,0.000010505466,0.00015866374,0.000036323425,0.01558508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99851805,0.0006822902,0.00010884707,0.00020527234,0.00018734015,0.00029820245],"domain_scores_gemma":[0.95444167,0.033866324,0.0061334674,0.0026078029,0.0018124825,0.0011382201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004548743,0.00047904623,0.0012492732,0.0016794405,0.0007758407,0.004154551,0.0007852891,0.0017268363,0.0096977595],"category_scores_gemma":[0.027257357,0.0007476535,0.0011833473,0.0012114616,0.0042401655,0.0032478522,0.0017424381,0.0053043524,0.00085913186],"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":[0.00051624206,0.00037704298,0.15505575,0.00014611676,0.00058396556,0.00085374323,0.0011167133,0.013786262,0.00084348297,0.8028292,0.005147947,0.018743474],"study_design_scores_gemma":[0.0001466154,0.00012243635,0.09487202,0.00023298507,0.0006800888,0.0007729719,0.0011672695,0.022261973,0.001587647,0.86313003,0.014939862,0.00008615344],"about_ca_topic_score_codex":0.017187208,"about_ca_topic_score_gemma":0.011548113,"teacher_disagreement_score":0.017187208,"about_ca_system_score_codex":0.0021636228,"about_ca_system_score_gemma":0.0018247172,"threshold_uncertainty_score":0.034174323},"labels":[],"label_agreement":null},{"id":"W2115906852","doi":"10.1016/j.jhealeco.2013.08.005","title":"Excise tax avoidance: The case of state cigarette taxes","year":2013,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Cancer Institute; National Institutes of Health; Purdue University","keywords":"Excise; Economics; Public economics; Indirect tax; Ad valorem tax; Tax avoidance; Microeconomics; Tax reform; Optimal tax; Tax basis; Tax credit; Value-added tax; Welfare; State income tax; Macroeconomics; Market economy; Gross income","score_opus":0.04615560259945643,"score_gpt":0.2592706962024403,"score_spread":0.21311509360298386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115906852","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":[0.82039356,0.00186792,0.0077148685,0.016017195,0.00014437926,0.00012396977,0.00028617482,0.000049292634,0.15340272],"genre_scores_gemma":[0.99123704,0.00038183876,0.0005319946,0.00019954545,0.00007939194,0.000014509676,0.000029229179,0.000006472762,0.0075199124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977337,0.0007272527,0.00006641459,0.00020494197,0.00022656338,0.0010411664],"domain_scores_gemma":[0.9928704,0.004411284,0.0010385814,0.00063329196,0.00053520914,0.0005112225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036516779,0.0006440308,0.0022909783,0.001169156,0.0025893224,0.0065311445,0.0016824516,0.0076775746,0.010010749],"category_scores_gemma":[0.00998242,0.0006698585,0.00200868,0.0014515511,0.003147915,0.0040015588,0.002166307,0.004853187,0.00039577569],"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":[0.0008328911,0.00078159274,0.012808833,0.00014186038,0.00026511878,0.0023242459,0.0006479876,0.041008003,0.0008249165,0.92130566,0.0060886997,0.0129700955],"study_design_scores_gemma":[0.0006559466,0.0006521014,0.023603868,0.00022011896,0.00092971465,0.0013115099,0.0038803648,0.20175475,0.0013866526,0.7502211,0.015185731,0.00019818898],"about_ca_topic_score_codex":0.032887787,"about_ca_topic_score_gemma":0.03489764,"teacher_disagreement_score":0.032887787,"about_ca_system_score_codex":0.0032297124,"about_ca_system_score_gemma":0.003868948,"threshold_uncertainty_score":0.06539273},"labels":[],"label_agreement":null},{"id":"W2119019287","doi":"10.1016/s0167-6296(02)00007-3","title":"The reliability of self-assessed health status","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":452,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Division of Social and Economic Sciences; Australian National University; McMaster University","keywords":"Reliability (semiconductor); Psychology; Self-rated health; Sample (material); Medicine; Environmental health; Gerontology","score_opus":0.04461415188677484,"score_gpt":0.3500459446241199,"score_spread":0.3054317927373451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119019287","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":[0.98900783,0.0010970546,0.0023531083,0.00038147537,0.00021808245,0.000052363746,0.0015576786,0.00002250932,0.0053098504],"genre_scores_gemma":[0.99810576,0.00016152672,0.000555898,0.00007817697,0.00006274696,0.000037255457,0.00067229994,0.000007907854,0.00031857486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9802847,0.011330283,0.0023177643,0.0021812373,0.0033227352,0.0005632173],"domain_scores_gemma":[0.8335151,0.11548214,0.015199246,0.01297562,0.021647729,0.0011800849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023483569,0.00047384482,0.0007446802,0.0020235241,0.0005596717,0.0016748761,0.0010616553,0.0011810625,0.0013120221],"category_scores_gemma":[0.09643071,0.0004583037,0.0014075455,0.0013278832,0.0016698908,0.0012567065,0.0013316218,0.0009566383,0.0005901305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019496788,0.000056856323,0.991523,0.000071892726,0.0005832365,0.000023766246,0.00085165375,0.0002605152,0.00016501104,0.00034405573,0.00039554317,0.0055295825],"study_design_scores_gemma":[0.000022378377,0.00016238833,0.99537706,0.000058670135,0.00020822638,0.00013038592,0.00050154544,0.0016252615,0.000416803,0.000498905,0.00097481796,0.000023593982],"about_ca_topic_score_codex":0.0051630805,"about_ca_topic_score_gemma":0.0056075766,"teacher_disagreement_score":0.023483569,"about_ca_system_score_codex":0.0005262531,"about_ca_system_score_gemma":0.00052498776,"threshold_uncertainty_score":0.1241945},"labels":[],"label_agreement":null},{"id":"W2123201955","doi":"10.1016/s0167-6296(02)00003-6","title":"Do ordering effects matter in willingness-to-pay studies of health care?","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University Medical Centre; McMaster University; University of Calgary; McMaster Children's Hospital","funders":"Economic Research Institute; Canadian Institutes of Health Research; Economic and Social Research Institute; European Commission","keywords":"Willingness to pay; Contingent valuation; Actuarial science; Health care; Willingness to accept; Order (exchange); Valuation (finance); Ranking (information retrieval); Public economics; Health economics; Economics; Microeconomics; Economic growth; Accounting; Finance","score_opus":0.13430206529101738,"score_gpt":0.288331309662018,"score_spread":0.1540292443710006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123201955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8902452,0.015658924,0.03382363,0.030029858,0.0017805918,0.00058335776,0.0021705646,0.00019199331,0.02551585],"genre_scores_gemma":[0.98715323,0.0020162258,0.004176247,0.002991932,0.00091161055,0.00011171571,0.0004908125,0.000079684585,0.0020684423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96323276,0.027246218,0.0025549424,0.0020094418,0.002505002,0.0024516806],"domain_scores_gemma":[0.5191608,0.428553,0.02641941,0.01670216,0.0037621348,0.005402512],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.066578776,0.0017267582,0.004111741,0.003070304,0.0025365949,0.007619082,0.0044957073,0.008599731,0.03098771],"category_scores_gemma":[0.2224101,0.002194361,0.0048902133,0.004676386,0.008555126,0.015550859,0.0030906878,0.0072085154,0.0015047216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020137744,0.0040743607,0.52881455,0.0030608426,0.010392424,0.001581905,0.00267159,0.020404575,0.001531252,0.28752685,0.0081509715,0.1116529],"study_design_scores_gemma":[0.0038523327,0.0017141704,0.13913897,0.000548529,0.005462574,0.000645248,0.002540523,0.024186708,0.0012687184,0.8137187,0.00663517,0.00028840353],"about_ca_topic_score_codex":0.0057702013,"about_ca_topic_score_gemma":0.0068510314,"teacher_disagreement_score":0.93342125,"about_ca_system_score_codex":0.0025002337,"about_ca_system_score_gemma":0.001976689,"threshold_uncertainty_score":0.35210645},"labels":[],"label_agreement":null},{"id":"W2132157629","doi":"10.1016/j.jhealeco.2013.03.005","title":"Health-related externalities: Evidence from a choice experiment","year":2013,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Externality; Respondent; Context (archaeology); Preference; Public economics; Health care; Set (abstract data type); Health economics; Choice set; Willingness to pay; Value (mathematics); Actuarial science; Economics; Public health; Psychology; Microeconomics; Medicine; Econometrics; Computer science; Political science; Geography","score_opus":0.17687511098934422,"score_gpt":0.28411742248646527,"score_spread":0.10724231149712105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132157629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99353975,0.00028379203,0.002128549,0.0005847746,0.000069140515,0.00021611802,0.0005179771,0.000019726178,0.0026400725],"genre_scores_gemma":[0.99446255,0.00040192466,0.0020266166,0.00045785462,0.00007967786,0.00027596176,0.000506947,0.000021301692,0.0017671669],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.99420667,0.00431389,0.00028909434,0.0005308989,0.00043331206,0.00022619135],"domain_scores_gemma":[0.7996526,0.17727174,0.010820226,0.008980554,0.0006760352,0.0025988608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015448996,0.0011392517,0.0013348929,0.00043691148,0.0004937777,0.0018595099,0.0011100019,0.0029299397,0.018567588],"category_scores_gemma":[0.054492302,0.00066395197,0.001222886,0.00054544373,0.0022973828,0.0021200103,0.0012841523,0.0026897308,0.001195921],"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":[0.5366311,0.14698935,0.17453925,0.0016290727,0.0072407164,0.0010372609,0.0015964054,0.017234385,0.024027478,0.021780388,0.0037120015,0.06358259],"study_design_scores_gemma":[0.17286004,0.14588568,0.39208043,0.00046745403,0.010406161,0.0017796401,0.0012739977,0.072789766,0.019804252,0.1698805,0.012034145,0.0007379122],"about_ca_topic_score_codex":0.0010503047,"about_ca_topic_score_gemma":0.00056747417,"teacher_disagreement_score":0.018567588,"about_ca_system_score_codex":0.00045800325,"about_ca_system_score_gemma":0.00065957877,"threshold_uncertainty_score":0.08170313},"labels":[],"label_agreement":null},{"id":"W2133415067","doi":"10.1016/j.jhealeco.2014.05.002","title":"Do stimulant medications improve educational and behavioral outcomes for children with ADHD?","year":2014,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Guelph-Humber","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research","keywords":"Stimulant; Medical prescription; Psychiatry; Medicine; Rest (music); Psychology; Pharmacology","score_opus":0.055174135627519286,"score_gpt":0.39252387909520403,"score_spread":0.33734974346768476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133415067","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":[0.9104876,0.056137122,0.00007837777,0.023426063,0.00071145606,0.000036005786,0.0013768668,0.000019609492,0.0077268565],"genre_scores_gemma":[0.9754464,0.020640831,0.00023237709,0.0022060492,0.00041363618,0.000021741269,0.0004292682,0.0000047460653,0.00060487207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999446,0.00017183906,0.0000709227,0.00005349964,0.00012852538,0.00012922089],"domain_scores_gemma":[0.9968389,0.001037094,0.0013483723,0.00007141717,0.00028894952,0.0004151899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089955184,0.00022732475,0.0007447947,0.00037577734,0.0003392046,0.0007234742,0.0004790759,0.00094427355,0.0035834424],"category_scores_gemma":[0.008892747,0.00017629356,0.0013392543,0.00071585673,0.00034270406,0.0007478744,0.00035905963,0.0011179509,0.00029547387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004919092,0.0029165342,0.8208303,0.0011394386,0.0028272725,0.00030659078,0.00020687489,0.0002894427,0.00038439388,0.0004059352,0.005381257,0.16039285],"study_design_scores_gemma":[0.00095853943,0.0012845184,0.99078697,0.0005604941,0.0023056902,0.0002200875,0.00044095019,0.00018843672,0.00027908647,0.00038844734,0.0025718939,0.000014901034],"about_ca_topic_score_codex":0.022430202,"about_ca_topic_score_gemma":0.07249663,"teacher_disagreement_score":0.022430202,"about_ca_system_score_codex":0.0011282063,"about_ca_system_score_gemma":0.0016715149,"threshold_uncertainty_score":0.044599295},"labels":[],"label_agreement":null},{"id":"W2138404206","doi":"10.1016/j.jhealeco.2005.07.001","title":"Extraordinary claims require extraordinary evidence","year":2005,"lang":"en","type":"letter","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Michael Smith Health Research BC; University of Victoria","funders":"","keywords":"Intellectual property; Developing country; Exploit; Negative binomial distribution; Profit (economics); Empirical evidence; Economics; Business; Public economics; Computer science; Economic growth; Microeconomics","score_opus":0.2200125721140884,"score_gpt":0.35990576374524014,"score_spread":0.13989319163115174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138404206","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011328143,0.0010553912,0.00057686405,0.97056615,0.0066916607,0.000021209818,0.000092214934,0.00003586669,0.01982789],"genre_scores_gemma":[0.02184171,0.00061113614,0.0006615088,0.9273988,0.040206958,0.000040139763,0.00003403526,0.000030929343,0.009174747],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9880432,0.002691229,0.001437649,0.0021714796,0.003932739,0.0017237348],"domain_scores_gemma":[0.92137295,0.06159328,0.0028874432,0.004290404,0.0053031836,0.004552669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0219255,0.0010129706,0.0036524762,0.0017783806,0.0062240083,0.012415579,0.003392995,0.13360512,0.008714383],"category_scores_gemma":[0.118191175,0.0013807465,0.0021554295,0.0009822681,0.016054384,0.009803742,0.004165083,0.096507564,0.0046635335],"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":[0.00014911644,0.00006469708,0.0010193278,0.00006759181,0.00009554379,0.0041606263,0.00031106942,0.00020634999,0.00025270553,0.18081751,0.8056184,0.007237017],"study_design_scores_gemma":[0.00036947694,0.00006758516,0.0025723234,0.0004646992,0.00014573384,0.0028842632,0.0006384431,0.0026163186,0.0005138125,0.59536356,0.39417857,0.0001852502],"about_ca_topic_score_codex":0.0057936483,"about_ca_topic_score_gemma":0.012723409,"teacher_disagreement_score":0.13360512,"about_ca_system_score_codex":0.0062285964,"about_ca_system_score_gemma":0.0052905604,"threshold_uncertainty_score":0.11595446},"labels":[],"label_agreement":null},{"id":"W2144950363","doi":"10.1016/j.jhealeco.2014.03.008","title":"Physician payment mechanisms, hospital length of stay and risk of readmission: Evidence from a natural experiment","year":2014,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université de Sherbrooke","funders":"","keywords":"Natural experiment; Incentive; Payment; Government (linguistics); Exploit; Hospital readmission; Difference in differences; Fee-for-service; Compensation (psychology); Medicine; Service (business); Public hospital; Emergency medicine; Business; Actuarial science; Finance; Health care; Nursing; Economics; Psychology; Computer science","score_opus":0.037916380782772374,"score_gpt":0.2801926165325624,"score_spread":0.24227623574979001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144950363","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":[0.99624455,0.0005593351,0.0008184483,0.0008870999,0.0000720973,0.00013975265,0.00060187635,0.000016959353,0.00065993296],"genre_scores_gemma":[0.9967706,0.00024257017,0.00073385984,0.0004330376,0.00011646327,0.00014275245,0.00042160155,0.00000823351,0.0011309935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98266256,0.013676422,0.00072275783,0.0013531635,0.0005843305,0.0010007806],"domain_scores_gemma":[0.62102437,0.33116814,0.031791188,0.010199382,0.0012082537,0.0046086437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027208256,0.0008946187,0.0015535717,0.00070636626,0.00106127,0.0031599125,0.002213221,0.0048678075,0.012253031],"category_scores_gemma":[0.08130252,0.0010524025,0.0028235686,0.0006841371,0.0035553952,0.0024295303,0.0011981364,0.0036880998,0.0010382042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.29199293,0.051224925,0.5951577,0.00095567555,0.0118101435,0.0012338758,0.0017931302,0.010905381,0.0020490312,0.006479789,0.0049785734,0.021418829],"study_design_scores_gemma":[0.09810685,0.08447046,0.72393864,0.0003417658,0.012189011,0.0011764176,0.0034657342,0.043266363,0.0018907122,0.026792688,0.0038321647,0.0005292395],"about_ca_topic_score_codex":0.008419488,"about_ca_topic_score_gemma":0.005487989,"teacher_disagreement_score":0.027208256,"about_ca_system_score_codex":0.0011211801,"about_ca_system_score_gemma":0.0020056886,"threshold_uncertainty_score":0.1438927},"labels":[],"label_agreement":null},{"id":"W2147352545","doi":"10.1016/j.jhealeco.2009.11.009","title":"Does graded return-to-work improve sick-listed workers’ chance of returning to regular working hours?","year":2009,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sick leave; Working hours; Hourly wage; Danish; Work (physics); Working time; Wage; Medicine; Work hours; Absenteeism; Family medicine; Psychology; Labour economics; Economics; Physical therapy; Social psychology","score_opus":0.057847505081500245,"score_gpt":0.3701901827674235,"score_spread":0.3123426776859233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147352545","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":[0.9949797,0.0011535196,0.00007405153,0.0020027137,0.00031753798,0.00004038044,0.00021144966,0.000024808342,0.0011958295],"genre_scores_gemma":[0.99868757,0.00035602556,0.00015028374,0.00022383331,0.00009526051,0.000015251001,0.00013704649,0.0000019446509,0.0003328631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924976,0.00027808017,0.000088430046,0.00008311894,0.00009083567,0.00020974923],"domain_scores_gemma":[0.9963081,0.00087627914,0.000688805,0.00022817767,0.00034971512,0.0015489999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018467279,0.00035861693,0.0013528572,0.00036745134,0.00058324623,0.0006816624,0.0008563102,0.0015261881,0.006647445],"category_scores_gemma":[0.009197004,0.00017888122,0.0019703421,0.00036786054,0.00035786183,0.00070993527,0.0005059709,0.0011743216,0.0008208671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.05713536,0.042680576,0.56762373,0.0009358799,0.0025804655,0.00024194931,0.000433964,0.0013528714,0.002042615,0.00037332444,0.0054778806,0.31912136],"study_design_scores_gemma":[0.0030674022,0.021036617,0.9716007,0.00017002657,0.0010070807,0.0000610454,0.00039722587,0.0008534626,0.00044254222,0.00033760656,0.0009882922,0.000037983384],"about_ca_topic_score_codex":0.006449239,"about_ca_topic_score_gemma":0.012043839,"teacher_disagreement_score":0.006647445,"about_ca_system_score_codex":0.0005300193,"about_ca_system_score_gemma":0.0013842105,"threshold_uncertainty_score":0.022237897},"labels":[],"label_agreement":null},{"id":"W2150561875","doi":"10.1016/s0167-6296(03)00058-4","title":"Estimating price elasticities when there is smuggling: the sensitivity of smoking to price in Canada","year":2003,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":160,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"National Cancer Institute","keywords":"Price elasticity of demand; Economics; Consumption (sociology); Alcohol consumption; Context (archaeology); Econometrics; Elasticity (physics); Yield (engineering); Demographic economics; Microeconomics; Alcohol","score_opus":0.032520742387627755,"score_gpt":0.28079057994281154,"score_spread":0.24826983755518378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150561875","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":[0.99668944,0.00024241536,0.0008799968,0.00048164948,0.000013925728,0.000031699783,0.00082309404,0.00002628235,0.0008115218],"genre_scores_gemma":[0.99736446,0.00012826113,0.0008679257,0.00006283421,0.000008396531,0.0000069031166,0.00072749995,0.00001797072,0.0008157658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974534,0.00070833944,0.00014700086,0.00044300762,0.00044850842,0.0007997361],"domain_scores_gemma":[0.97968274,0.012964051,0.0016561226,0.0009312258,0.0036016973,0.001164076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006436913,0.00070572604,0.0012970911,0.0015719577,0.0027062034,0.0031291726,0.003161143,0.0020475695,0.00226665],"category_scores_gemma":[0.03387021,0.0009520498,0.0018101239,0.0042816917,0.0017974107,0.0012376633,0.0012488252,0.0022992888,0.00021780322],"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":[0.001256234,0.00048574148,0.8632016,0.000112716974,0.0010532115,0.0005554149,0.0010686083,0.10628691,0.00058127707,0.0037752127,0.0035459213,0.018077137],"study_design_scores_gemma":[0.00015827332,0.00012499178,0.6815606,0.00004474414,0.00050011644,0.000114167764,0.0025661562,0.30990696,0.00062923733,0.0021906532,0.0020482256,0.00015593992],"about_ca_topic_score_codex":0.99533916,"about_ca_topic_score_gemma":0.9929507,"teacher_disagreement_score":0.027960945,"about_ca_system_score_codex":0.027960945,"about_ca_system_score_gemma":0.026157562,"threshold_uncertainty_score":0.2028718},"labels":[],"label_agreement":null},{"id":"W2154210580","doi":"10.1016/j.jhealeco.2019.102268","title":"Does education reduce teen fertility? Evidence from compulsory schooling laws","year":2019,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"","keywords":"Fertility; Census; Compulsory education; Sample (material); Formal education; Demography; Demographic economics; Psychology; Population; Economics; Sociology; Economic growth","score_opus":0.05359875650428865,"score_gpt":0.3529121230781842,"score_spread":0.29931336657389557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154210580","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":[0.91051584,0.02066378,0.00042909157,0.029689442,0.00049545814,0.00012458597,0.0015805839,0.00003313586,0.03646807],"genre_scores_gemma":[0.9912777,0.003820431,0.000096654774,0.0026246135,0.00017182088,0.000022314669,0.00018663166,0.000004940498,0.0017950486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960251,0.0022119454,0.00020858164,0.0002986213,0.00053351343,0.00072225917],"domain_scores_gemma":[0.89949256,0.07472748,0.017001064,0.003074982,0.0019773091,0.0037266251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057338797,0.0002096399,0.0006563625,0.00096017634,0.0008157285,0.0011360272,0.0016014834,0.0022614356,0.015957916],"category_scores_gemma":[0.041402705,0.00030712725,0.0013210928,0.0009654325,0.0029355336,0.0008219265,0.0016267921,0.0020942162,0.00042384255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0110951075,0.006802348,0.8114182,0.0017472348,0.003692045,0.0011196693,0.0023157457,0.0013493424,0.000683923,0.024013601,0.0063895746,0.12937324],"study_design_scores_gemma":[0.003207738,0.004673741,0.95167494,0.0015176932,0.0038565055,0.00043234476,0.0025439046,0.00067337014,0.0013072175,0.0069387844,0.023133876,0.000040025505],"about_ca_topic_score_codex":0.024893964,"about_ca_topic_score_gemma":0.025052812,"teacher_disagreement_score":0.024893964,"about_ca_system_score_codex":0.0009458813,"about_ca_system_score_gemma":0.0021022903,"threshold_uncertainty_score":0.053384542},"labels":[],"label_agreement":null},{"id":"W2160605904","doi":"10.1016/j.jhealeco.2012.03.002","title":"Four decades of health economics through a bibliometric lens","year":2012,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":158,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"EconLit; Health economics; Grossman; Citation; Bibliometrics; MEDLINE; Variety (cybernetics); Metadata; Citation analysis; Scopus; Economics; Regional science; Political science; Library science; Geography; Health care; Economic growth; Computer science","score_opus":0.27584676214135684,"score_gpt":0.4896979457181365,"score_spread":0.21385118357677968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160605904","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":[0.034336425,0.23708169,0.04438544,0.25886768,0.010636486,0.00011749973,0.0023058155,0.0004656467,0.4118034],"genre_scores_gemma":[0.60858226,0.22560258,0.027640633,0.026463741,0.04308902,0.00037938263,0.0014427832,0.00062948134,0.066170074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9887145,0.00567366,0.0012574709,0.00075171306,0.0032229128,0.00037971803],"domain_scores_gemma":[0.9113141,0.06585581,0.005027275,0.0074167494,0.008694018,0.0016920994],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.016917007,0.00067570084,0.0012326245,0.042916764,0.0028939988,0.01730427,0.0013326857,0.0029028999,0.007715642],"category_scores_gemma":[0.056651115,0.000559605,0.00057082553,0.043547973,0.015702154,0.02509016,0.0049277013,0.0037134644,0.001405255],"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":[0.00002100647,0.000033061937,0.0013444243,0.00034816418,0.000038940845,0.000046351,0.0023057521,0.00025216382,0.00006715733,0.92128485,0.018204847,0.05605329],"study_design_scores_gemma":[0.000011495102,0.000029113065,0.004338511,0.0017969572,0.000039313414,0.000118588825,0.003165913,0.0009644137,0.00021799243,0.53602314,0.4532646,0.000029921079],"about_ca_topic_score_codex":0.0058149486,"about_ca_topic_score_gemma":0.007457209,"teacher_disagreement_score":0.9570832,"about_ca_system_score_codex":0.007837384,"about_ca_system_score_gemma":0.0064418213,"threshold_uncertainty_score":0.08946675},"labels":[],"label_agreement":null},{"id":"W2164344580","doi":"10.1016/j.jhealeco.2008.07.014","title":"Managed care and medical expenditures of Medicare beneficiaries","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"University of Illinois at Urbana-Champaign; University of Pennsylvania; Robert Wood Johnson Foundation","keywords":"Beneficiary; Penetration (warfare); Health spending; Managed care; Medical care; Health care; Actuarial science; Business; Medicine; Demographic economics; Economics; Health insurance; Finance; Emergency medicine; Economic growth","score_opus":0.05377593309093576,"score_gpt":0.2884247513645106,"score_spread":0.23464881827357487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164344580","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":[0.986938,0.0026912456,0.00016141993,0.0024544613,0.00004228484,0.000014251174,0.005528509,0.000012686044,0.0021571976],"genre_scores_gemma":[0.9949587,0.0006834328,0.00007810398,0.00017712814,0.00012595243,0.000010837206,0.0031704959,0.0000036751812,0.00079169474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989736,0.00031725064,0.00013863818,0.000078148514,0.00024802503,0.00024432232],"domain_scores_gemma":[0.9883972,0.0030682192,0.0062896716,0.00026027928,0.0006143904,0.0013702617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012983247,0.0002352975,0.0004211112,0.0016643258,0.0004342497,0.0014487278,0.0005207751,0.0013486826,0.0036781386],"category_scores_gemma":[0.012637741,0.0003356241,0.001168,0.0027368888,0.000277748,0.0008922266,0.00070073444,0.0015125724,0.00029151287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037170586,0.000082369355,0.99407417,0.000025780444,0.00024223416,0.00009548663,0.000080332764,0.000607689,0.000074319825,0.000919074,0.001212005,0.0022147447],"study_design_scores_gemma":[0.000026982781,0.00007779839,0.99628925,0.00002503222,0.00012617969,0.00022153993,0.00019396759,0.0016035202,0.000053703083,0.00043512214,0.00093974423,0.00000711009],"about_ca_topic_score_codex":0.042784676,"about_ca_topic_score_gemma":0.044933353,"teacher_disagreement_score":0.042784676,"about_ca_system_score_codex":0.0021845512,"about_ca_system_score_gemma":0.0008988116,"threshold_uncertainty_score":0.085071325},"labels":[],"label_agreement":null},{"id":"W2275493837","doi":"10.1016/j.jhealeco.2016.12.008","title":"Health and work in the family: Evidence from spouses’ cancer diagnoses","year":2017,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Unobservable; Earnings; Demographic economics; Medical diagnosis; Instrumental variable; Matching (statistics); Identification (biology); Work (physics); Exploit; Economics; Health care; Labour economics; Medicine; Econometrics; Finance; Economic growth","score_opus":0.4449077433709832,"score_gpt":0.5076956281158693,"score_spread":0.06278788474488611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275493837","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":[0.9866283,0.00909429,0.00008904223,0.0005981723,0.000034184017,0.00001534726,0.0013073666,0.0000010959299,0.0022320729],"genre_scores_gemma":[0.9960439,0.003067074,0.000031227246,0.00010770622,0.000026148762,0.000006616507,0.0005165185,9.961425e-7,0.00019984972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964361,0.0020813537,0.00034710177,0.00034986166,0.0003538728,0.00043171278],"domain_scores_gemma":[0.9716556,0.015110378,0.008261069,0.0015395147,0.0018337761,0.001599699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035771618,0.00027804793,0.00067233294,0.00227585,0.0013589219,0.0014230792,0.0007542188,0.0009262599,0.00485698],"category_scores_gemma":[0.029065477,0.0004538731,0.0013845975,0.004205801,0.00095678604,0.0013082986,0.0018679474,0.00079221296,0.00032399324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032663366,0.000087909415,0.9929016,0.00013677051,0.00072921417,0.00016799668,0.000677524,0.000063610496,0.000018844357,0.00010035042,0.0003113448,0.0044781687],"study_design_scores_gemma":[0.000052770287,0.00018039685,0.9935715,0.0002953765,0.00079601194,0.00027390275,0.0034720744,0.00008902986,0.000038861675,0.00015984851,0.0010564914,0.000013811425],"about_ca_topic_score_codex":0.06298955,"about_ca_topic_score_gemma":0.06780961,"teacher_disagreement_score":0.06298955,"about_ca_system_score_codex":0.0006437715,"about_ca_system_score_gemma":0.0008843467,"threshold_uncertainty_score":0.12524581},"labels":[],"label_agreement":null},{"id":"W2279068228","doi":"10.1016/j.jhealeco.2016.04.001","title":"How to sell a condom? The impact of demand creation tools on male and female condom sales in resource limited settings","year":2016,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Sex work and related issues","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Leverhulme Trust; Department for International Development; Department for International Development, UK Government; Bill and Melinda Gates Foundation","keywords":"Condom; Social marketing; Promotion (chess); Marketing; Business; Population; Product (mathematics); Advertising; Human immunodeficiency virus (HIV); Economics; Environmental health; Medicine; Family medicine; Political science","score_opus":0.03460217318420268,"score_gpt":0.3312103978890657,"score_spread":0.29660822470486303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279068228","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":[0.9907356,0.0023894194,0.00009736042,0.002456309,0.000024196424,0.000029304576,0.00049765117,0.0000035761993,0.0037665574],"genre_scores_gemma":[0.9980399,0.00095066195,0.00008735736,0.00020799662,0.000012380258,0.000014721844,0.00011407748,0.0000032932562,0.00056966924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776745,0.0013022518,0.00008954391,0.00014452612,0.0002257943,0.00047041534],"domain_scores_gemma":[0.9845634,0.009167932,0.0036173456,0.00037606282,0.00090777804,0.0013676258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002730585,0.00023060411,0.00038284808,0.00051036326,0.0005587746,0.0019089017,0.0006347122,0.00083062897,0.0062756236],"category_scores_gemma":[0.01192049,0.00032533842,0.00079767,0.0008192089,0.001252462,0.0019501296,0.0013184431,0.0011855102,0.00044931716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012332052,0.0008967221,0.9293967,0.00053567655,0.00032577998,0.0007886362,0.003242377,0.0019384617,0.0005107807,0.0017435336,0.0022318156,0.057156384],"study_design_scores_gemma":[0.000044569042,0.0004729553,0.9872171,0.000309876,0.00007912919,0.00023275023,0.00755735,0.0010701738,0.0002342384,0.00039721245,0.0023593723,0.000025319805],"about_ca_topic_score_codex":0.020188639,"about_ca_topic_score_gemma":0.030062182,"teacher_disagreement_score":0.020188639,"about_ca_system_score_codex":0.0017139667,"about_ca_system_score_gemma":0.0010017462,"threshold_uncertainty_score":0.04014224},"labels":[],"label_agreement":null},{"id":"W2281013566","doi":"","title":"Should the U.S. Permit Reimport of Prescripton Drugs from Canada","year":2002,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine","score_opus":0.13511193497949156,"score_gpt":0.2888259963581512,"score_spread":0.15371406137865964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281013566","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":[0.030852666,0.00368567,0.0013983949,0.44344294,0.010993521,0.000634395,0.0081705265,0.0006721231,0.5001498],"genre_scores_gemma":[0.16397409,0.0021450203,0.0022392536,0.28322104,0.0019239202,0.00011255224,0.0018265654,0.00020113471,0.54435647],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99298686,0.00025875497,0.00021985435,0.00036227258,0.0035634497,0.0026087284],"domain_scores_gemma":[0.9875172,0.0014758777,0.00040819036,0.00045445256,0.0076517346,0.0024925303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029726163,0.0004428576,0.00066367077,0.0013697526,0.00673273,0.0043936335,0.0020488063,0.015161426,0.03292916],"category_scores_gemma":[0.021702986,0.0006335788,0.0012912952,0.001255476,0.0012668197,0.0015574746,0.0013751489,0.0056616315,0.0057042493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003242263,0.00011214341,0.010195887,0.00015294617,0.00007553254,0.00054348924,0.00036803426,0.00087262836,0.0014963726,0.053186473,0.90560615,0.027066171],"study_design_scores_gemma":[0.00014619375,0.00006453056,0.015663987,0.0001718809,0.000077266785,0.00021002728,0.00040886644,0.0011331479,0.0018088234,0.0044215983,0.97577375,0.00012001577],"about_ca_topic_score_codex":0.9582183,"about_ca_topic_score_gemma":0.9793697,"teacher_disagreement_score":0.041781723,"about_ca_system_score_codex":0.031026388,"about_ca_system_score_gemma":0.120760866,"threshold_uncertainty_score":0.22511321},"labels":[],"label_agreement":null},{"id":"W2292469926","doi":"10.1016/j.jhealeco.2016.12.005","title":"Is the Rational Addiction model inherently impossible to estimate?","year":2016,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Toronto","funders":"","keywords":"Monte Carlo method; Econometrics; Saddle point; Estimation; Saddle; Addiction; Economics; Point (geometry); Mathematics; Mathematical optimization; Statistics; Psychology","score_opus":0.06321746363489496,"score_gpt":0.29462711773352757,"score_spread":0.23140965409863262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292469926","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":[0.13815407,0.0023228195,0.7206525,0.09811433,0.0010871403,0.00018133862,0.0014423258,0.000665299,0.037380192],"genre_scores_gemma":[0.9070518,0.0019193724,0.07140661,0.0075977915,0.00090569624,0.0003091751,0.0006171069,0.00019031203,0.010002162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997152,0.0017919836,0.0001293451,0.00039186626,0.00029710573,0.00023774602],"domain_scores_gemma":[0.9485752,0.044812374,0.0023620774,0.0025083756,0.0012273594,0.0005145591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009163845,0.00068140513,0.002445353,0.0010337107,0.0007727676,0.003219381,0.0025786392,0.0038045992,0.0065683895],"category_scores_gemma":[0.07085342,0.00096643524,0.0010009949,0.0007639541,0.0029371532,0.006576531,0.0019739612,0.006742361,0.0010315749],"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":[0.00014487811,0.00018435606,0.009794953,0.00024571235,0.00043537462,0.00035289803,0.0002481203,0.07385951,0.00010435477,0.86930984,0.01512246,0.030197509],"study_design_scores_gemma":[0.000040628805,0.000016744973,0.00060905237,0.000045796784,0.00003369994,0.00006689473,0.0000835164,0.14450103,0.0000544297,0.852405,0.002125223,0.000018066685],"about_ca_topic_score_codex":0.009190341,"about_ca_topic_score_gemma":0.0053932164,"teacher_disagreement_score":0.009190341,"about_ca_system_score_codex":0.001178167,"about_ca_system_score_gemma":0.0017429099,"threshold_uncertainty_score":0.048463583},"labels":[],"label_agreement":null},{"id":"W2402567086","doi":"10.1016/j.jhealeco.2017.07.001","title":"Do health insurers innovate? Evidence from the anatomy of physician payments","year":2017,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Negotiation; Payment; Benchmark (surveying); Actuarial science; Business; Government (linguistics); Exploit; Health care; Value (mathematics); Economics; Finance","score_opus":0.15214606314449744,"score_gpt":0.3743145904089054,"score_spread":0.22216852726440797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402567086","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":[0.90293425,0.011436216,0.003246591,0.033703137,0.00017085594,0.00012875893,0.0013663166,0.000065966764,0.046947878],"genre_scores_gemma":[0.99558455,0.0013416902,0.00035606456,0.0012889183,0.00017716619,0.000015668664,0.00018209497,0.0000101417,0.0010437595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98586977,0.0069031264,0.0009286669,0.0016613015,0.0028137234,0.0018233833],"domain_scores_gemma":[0.59707254,0.31765357,0.059207536,0.013252387,0.007129304,0.005684589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018110532,0.00034482343,0.0011302448,0.0019296161,0.0014597552,0.005130011,0.0020807062,0.005294871,0.014324509],"category_scores_gemma":[0.16596696,0.00052699825,0.0013420869,0.002745257,0.0049367435,0.0070585534,0.0032867766,0.0035053235,0.0012663654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018485542,0.0008151751,0.8724191,0.00048809368,0.0010463423,0.00054257363,0.0036567026,0.002522297,0.00028436742,0.048665866,0.0059844223,0.06172653],"study_design_scores_gemma":[0.001219263,0.0008947992,0.9079378,0.00073180645,0.0014229228,0.0007087293,0.0058842245,0.0051302444,0.0005527506,0.058930673,0.016488943,0.000097886885],"about_ca_topic_score_codex":0.010710054,"about_ca_topic_score_gemma":0.010192613,"teacher_disagreement_score":0.018110532,"about_ca_system_score_codex":0.00166633,"about_ca_system_score_gemma":0.0024698386,"threshold_uncertainty_score":0.09577876},"labels":[],"label_agreement":null},{"id":"W2410280636","doi":"10.1016/j.jhealeco.2016.12.002","title":"Claims-shifting: The problem of parallel reimbursement regimes","year":2016,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Workers Compensation Board of British Columbia","funders":"Women's College Research Institute","keywords":"Reimbursement; Capitation; Incentive; Discretion; Workers' compensation; Health care; Business; Actuarial science; Medicine; Incidence (geometry); Occupational safety and health; Family medicine; Compensation (psychology); Finance; Economics; Psychology; Economic growth; Political science; Law; Payment","score_opus":0.08224806695960976,"score_gpt":0.2901059895950899,"score_spread":0.2078579226354801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410280636","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":[0.46628702,0.0032141153,0.30749965,0.098156095,0.0014647323,0.00063038676,0.0015753101,0.00085402624,0.12031862],"genre_scores_gemma":[0.96921563,0.0006814423,0.01739296,0.0027444793,0.0011554176,0.00018564436,0.00012490536,0.000119894496,0.0083796745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.98748535,0.0047663944,0.000776227,0.0028486028,0.0024655825,0.0016577902],"domain_scores_gemma":[0.90179974,0.07095066,0.007258136,0.013343111,0.0036999283,0.0029484436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031520277,0.0007139797,0.0036578716,0.0017573837,0.0031125115,0.008357782,0.0063075433,0.015614561,0.02064571],"category_scores_gemma":[0.13954896,0.0016219104,0.0024077627,0.0021456154,0.006819868,0.012630799,0.0040288693,0.012169689,0.0020898778],"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":[0.00058654684,0.00034582792,0.004533021,0.00013101927,0.00013486964,0.0010316182,0.0006715382,0.024415348,0.00070772856,0.90852624,0.009717941,0.049198315],"study_design_scores_gemma":[0.00024218709,0.000043836168,0.001558241,0.000049664737,0.000045591438,0.00042474322,0.00016361276,0.052971132,0.00028737096,0.94124067,0.0029252802,0.00004776894],"about_ca_topic_score_codex":0.0025611655,"about_ca_topic_score_gemma":0.001339026,"teacher_disagreement_score":0.031520277,"about_ca_system_score_codex":0.003831541,"about_ca_system_score_gemma":0.0029903485,"threshold_uncertainty_score":0.16669714},"labels":[],"label_agreement":null},{"id":"W2580895602","doi":"10.1016/j.jhealeco.2017.01.006","title":"Employment effects of active labor market programs for sick-listed workers","year":2017,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Danmarks Frie Forskningsfond; Samfund og Erhverv, Det Frie Forskningsråd","keywords":"Labour economics; Business; Sick leave; Economics; Demographic economics","score_opus":0.07083348600432522,"score_gpt":0.4211319532208778,"score_spread":0.3502984672165526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580895602","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":[0.997687,0.0003233048,0.000023645125,0.00058288896,0.00007534512,0.000047250065,0.0002871775,0.000008247558,0.0009651831],"genre_scores_gemma":[0.99773324,0.00018823426,0.000028748635,0.00012425422,0.00007647681,0.000021551536,0.0001249009,0.0000019033542,0.0017006375],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.99907625,0.00023904134,0.000032049848,0.00006066352,0.00004343422,0.00054846465],"domain_scores_gemma":[0.9951049,0.0015594035,0.0006821735,0.00013666741,0.0002032997,0.0023134244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013724791,0.00052226713,0.0006169204,0.0005618575,0.0010218751,0.00084551086,0.0009596984,0.0019299366,0.015946254],"category_scores_gemma":[0.004638311,0.00030496955,0.001378142,0.00035834592,0.0006569777,0.0009011543,0.001358313,0.0014193673,0.000493339],"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":[0.31790474,0.19431937,0.23960155,0.0009685593,0.0014305193,0.0011909517,0.00148376,0.0067370213,0.00568541,0.002669224,0.00456717,0.22344184],"study_design_scores_gemma":[0.01966159,0.09691212,0.8656024,0.0002765023,0.002232775,0.000109198045,0.004953255,0.0036766909,0.002176975,0.0017301351,0.00259963,0.00006873858],"about_ca_topic_score_codex":0.020273516,"about_ca_topic_score_gemma":0.031876124,"teacher_disagreement_score":0.020273516,"about_ca_system_score_codex":0.00092355453,"about_ca_system_score_gemma":0.002009089,"threshold_uncertainty_score":0.0533455},"labels":[],"label_agreement":null},{"id":"W2587788175","doi":"10.1016/j.jhealeco.2017.06.004","title":"Income-related health transfers principles and orderings of joint distributions of income and health","year":2017,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Inference; Socioeconomic status; Health equity; Econometrics; Joint probability distribution; Stochastic dominance; Inequality; Income distribution; Economic inequality; Joint (building); Relevance (law); Identification (biology); Economics; Public economics; Actuarial science; Computer science; Mathematics; Statistics; Political science; Medicine; Health care; Environmental health; Economic growth; Artificial intelligence; Population; Law","score_opus":0.09313381404958632,"score_gpt":0.2987092111988437,"score_spread":0.20557539714925738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587788175","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":[0.18206981,0.0008917477,0.7559077,0.0074867513,0.00024641462,0.00023148909,0.0012872329,0.00023624016,0.051642645],"genre_scores_gemma":[0.90148014,0.0013680623,0.075064324,0.0008455164,0.00064027705,0.0003453357,0.00081878545,0.0001498415,0.019287739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99672735,0.0015966275,0.00021813542,0.00030717583,0.0006669971,0.0004836851],"domain_scores_gemma":[0.97701514,0.01647629,0.0017874647,0.001828783,0.0017205684,0.0011717194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009380007,0.00072887726,0.0014159685,0.0024671473,0.001293987,0.0038029244,0.0027159373,0.0016486924,0.01177711],"category_scores_gemma":[0.03455441,0.0010252495,0.001585223,0.0032292858,0.0038894485,0.009057062,0.0026951353,0.0042529693,0.00065208715],"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":[0.000035945708,0.000042821954,0.0010133386,0.000023643253,0.000015956228,0.000060710037,0.00015722675,0.007670152,0.000072918636,0.9850944,0.0012375343,0.004575357],"study_design_scores_gemma":[0.000017520202,0.000015893738,0.0007158768,0.000014239002,0.000008887879,0.00005474925,0.000072293,0.023784082,0.000059443013,0.9746215,0.00062546507,0.000010073246],"about_ca_topic_score_codex":0.0036305406,"about_ca_topic_score_gemma":0.002982985,"teacher_disagreement_score":0.01177711,"about_ca_system_score_codex":0.0020971547,"about_ca_system_score_gemma":0.002179013,"threshold_uncertainty_score":0.04960686},"labels":[],"label_agreement":null},{"id":"W2588646001","doi":"10.1016/j.jhealeco.2017.02.002","title":"Medicaid, family spending, and the financial implications of crowd-out","year":2017,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":18,"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":"Medicaid; Crowding out; Consumer Expenditure Survey; Business; Medical Expenditure Panel Survey; Welfare; Demographic economics; Actuarial science; Quarter (Canadian coin); Health insurance; Public economics; Health care; Economics; Economic growth; Geography; Monetary economics","score_opus":0.11998316741759676,"score_gpt":0.3412257613625438,"score_spread":0.22124259394494702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588646001","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":[0.97044367,0.0023816808,0.00032248715,0.018162841,0.000098223485,0.000013585623,0.0011814189,0.000013631018,0.00738246],"genre_scores_gemma":[0.99854386,0.0003230792,0.00001710532,0.0002735069,0.00007680159,0.0000035418361,0.00015208674,0.000002509972,0.0006076117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989925,0.00029259597,0.000051476563,0.000054307275,0.000118327065,0.0004907201],"domain_scores_gemma":[0.9859067,0.0069372444,0.0039929957,0.00032561595,0.00058462156,0.0022528628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025076533,0.00019669697,0.00045182803,0.0009309793,0.0012729665,0.0020887076,0.0005043011,0.0022582018,0.0064775236],"category_scores_gemma":[0.015648672,0.00020601803,0.0005834372,0.0012725882,0.0017116731,0.0018564749,0.0013947915,0.0018818142,0.00019075951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008621873,0.0006350359,0.93775976,0.00005925576,0.00025012955,0.0010451736,0.00070382695,0.008603726,0.00017268579,0.027420267,0.009327496,0.013160379],"study_design_scores_gemma":[0.00008801606,0.00020437958,0.91448605,0.0001498795,0.00032120018,0.0006079459,0.00903366,0.018521952,0.00037980845,0.048338555,0.0077810986,0.000087457796],"about_ca_topic_score_codex":0.04560797,"about_ca_topic_score_gemma":0.062115178,"teacher_disagreement_score":0.04560797,"about_ca_system_score_codex":0.0024412503,"about_ca_system_score_gemma":0.0023669763,"threshold_uncertainty_score":0.09068501},"labels":[],"label_agreement":null},{"id":"W2594748377","doi":"10.1016/j.jhealeco.2017.02.005","title":"War during childhood: The long run effects of warfare on health","year":2017,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Birth, Development, and Health","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"In utero; Medicine; Obesity; Incidence (geometry); Cohort; Demography; Diabetes mellitus; Pregnancy; Gerontology; Environmental health; Endocrinology; Internal medicine","score_opus":0.024216173257456064,"score_gpt":0.31009463690619604,"score_spread":0.28587846364874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594748377","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":[0.900623,0.050915293,0.0004979215,0.035430804,0.00045490102,0.000021856706,0.004066008,0.000026722682,0.007963508],"genre_scores_gemma":[0.9852207,0.011767158,0.000071077025,0.00045295164,0.00030497735,0.0000074222344,0.00058754475,0.000007814824,0.0015803868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983699,0.00038961958,0.000061079656,0.00013976313,0.00008363979,0.0009560645],"domain_scores_gemma":[0.99486756,0.0018129089,0.0014379864,0.0001875705,0.00025133768,0.0014426429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014158633,0.0005330518,0.0006533275,0.0011700613,0.00092227856,0.0024601687,0.00055652024,0.002581647,0.010431679],"category_scores_gemma":[0.007843649,0.00048335167,0.0011422487,0.001862642,0.0012615041,0.001567491,0.0021661804,0.0034846428,0.00043805162],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011192065,0.0002668203,0.95561934,0.00023761498,0.001282681,0.0014162749,0.0005904433,0.003757708,0.00031894006,0.0117262695,0.00402995,0.019634692],"study_design_scores_gemma":[0.000056140725,0.00032302286,0.9827443,0.0003566045,0.00070548296,0.0006574432,0.002343264,0.001872183,0.0003377758,0.0062999716,0.004261205,0.000042640993],"about_ca_topic_score_codex":0.07235259,"about_ca_topic_score_gemma":0.08309482,"teacher_disagreement_score":0.07235259,"about_ca_system_score_codex":0.002226213,"about_ca_system_score_gemma":0.0025652254,"threshold_uncertainty_score":0.1438629},"labels":[],"label_agreement":null},{"id":"W2606015445","doi":"10.1016/j.jhealeco.2017.12.005","title":"First do no harm – The impact of financial incentives on dental X-rays","year":2017,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Radiology practices and education","field":"Medicine","cited_by":50,"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":"Syddansk Universitet; McMaster University; Harvard School of Dental Medicine","keywords":"Salary; Remuneration; Payment; Fee-for-service; Harm; Incentive; Business; Finance; Service (business); Actuarial science; Medicine; Economics; Health care; Psychology; Marketing","score_opus":0.05153864835563055,"score_gpt":0.39565113771164095,"score_spread":0.3441124893560104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606015445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96791124,0.0038783646,0.0027767161,0.009537596,0.0001771177,0.00011075248,0.00077537855,0.000048740178,0.014784056],"genre_scores_gemma":[0.99699926,0.0003077115,0.00047578092,0.00040797665,0.00006185598,0.000015223711,0.00007176363,0.000005629707,0.0016549106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98178697,0.011010789,0.0007204794,0.0008955521,0.00229685,0.0032893266],"domain_scores_gemma":[0.8861355,0.062002543,0.03907084,0.0045137554,0.0024229465,0.0058544567],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.016204963,0.00062245503,0.0010274568,0.0012183796,0.0014073732,0.0033768967,0.0013818371,0.002221252,0.008427701],"category_scores_gemma":[0.081786476,0.00050680933,0.0015169083,0.00094049575,0.0022112317,0.0021923291,0.0035088996,0.002094809,0.0007132772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023880429,0.0017071912,0.86309034,0.00030488105,0.0007281709,0.00090816576,0.00069947017,0.023383863,0.0006972441,0.016389286,0.002627198,0.08707622],"study_design_scores_gemma":[0.00022633876,0.0037848677,0.95021176,0.00038150907,0.00045429435,0.001491559,0.0022083644,0.01676406,0.001050874,0.014825423,0.008474472,0.00012640226],"about_ca_topic_score_codex":0.010590576,"about_ca_topic_score_gemma":0.014584087,"teacher_disagreement_score":0.98379505,"about_ca_system_score_codex":0.0037521466,"about_ca_system_score_gemma":0.0032362386,"threshold_uncertainty_score":0.08570111},"labels":[],"label_agreement":null},{"id":"W2757153932","doi":"10.1016/j.jhealeco.2018.12.001","title":"Cash on delivery: Results of a randomized experiment to promote maternal health care in Kenya","year":2019,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Voucher; Randomized experiment; Cash transfers; Copayment; Cash; Conditional cash transfer; Psychological intervention; Business; Randomized controlled trial; Health care; Medicine; Finance; Economics; Nursing; Poverty; Economic growth; Health insurance","score_opus":0.013389487434564916,"score_gpt":0.3036257323362376,"score_spread":0.29023624490167266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757153932","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":[0.97780687,0.00031736243,0.0010268011,0.0005123086,0.00033798235,0.017884118,0.0004995246,0.000054470594,0.0015605731],"genre_scores_gemma":[0.95819354,0.00071208476,0.009820746,0.0006413716,0.00017073759,0.02734858,0.00038279954,0.000017702801,0.0027123657],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99035954,0.007305085,0.00056606386,0.0006014486,0.0004712451,0.00069651415],"domain_scores_gemma":[0.9791062,0.015453939,0.002493012,0.00067040214,0.00064362684,0.0016328661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013477447,0.0017360928,0.00174006,0.00044602508,0.0016134529,0.0009170513,0.001627817,0.002081649,0.007201952],"category_scores_gemma":[0.015320936,0.00080144487,0.0015577289,0.0004205145,0.0021448776,0.0010371222,0.0006281805,0.0020068332,0.00051956705],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.64087045,0.30280194,0.0024088477,0.0026909094,0.0012896787,0.0002255029,0.0011193051,0.0018836657,0.0064392313,0.0008140079,0.0014884399,0.037967995],"study_design_scores_gemma":[0.45140404,0.53304935,0.0071980627,0.00023937067,0.001291407,0.000025648233,0.00027033853,0.0019412718,0.0027333733,0.000756956,0.0010087251,0.000081451944],"about_ca_topic_score_codex":0.008533455,"about_ca_topic_score_gemma":0.011972988,"teacher_disagreement_score":0.013477447,"about_ca_system_score_codex":0.0023436833,"about_ca_system_score_gemma":0.005244038,"threshold_uncertainty_score":0.07127637},"labels":[],"label_agreement":null},{"id":"W2771676431","doi":"10.1016/j.jhealeco.2017.12.002","title":"The Vaccination Kuznets Curve: Do vaccination rates rise and fall with income?","year":2017,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Stylized fact; Vaccination; Panel data; Demographic economics; Economics; Medical care; Demography; Econometrics; Medicine; Virology","score_opus":0.044568472024040844,"score_gpt":0.44019606948090806,"score_spread":0.3956275974568672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771676431","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":[0.84489316,0.012348546,0.0053645237,0.09283194,0.000770334,0.00008547684,0.006505241,0.00034158825,0.036859304],"genre_scores_gemma":[0.9910663,0.0020451904,0.00033258885,0.0022870523,0.000376132,0.00002095908,0.001376129,0.00008145402,0.0024141292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998173,0.00076219655,0.00011324271,0.0003146309,0.0002033536,0.000433522],"domain_scores_gemma":[0.96918976,0.020308228,0.0053892056,0.00182068,0.0018597449,0.00143234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056822333,0.0004909676,0.0016312436,0.0024802207,0.0005273148,0.0025569226,0.0016140046,0.0030345009,0.016871406],"category_scores_gemma":[0.06623755,0.0005259371,0.0014826497,0.003064521,0.0025452757,0.0045101605,0.0018556851,0.0040176306,0.0026159822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014607254,0.00022651585,0.7842168,0.00039874908,0.0007244841,0.00044508712,0.0018028815,0.0098786885,0.00026214725,0.059352737,0.04020429,0.10102694],"study_design_scores_gemma":[0.00024631328,0.0003348508,0.84153885,0.00064879196,0.0004932441,0.0006289087,0.0074880347,0.026208177,0.00043255315,0.097091906,0.024770185,0.00011812629],"about_ca_topic_score_codex":0.021828339,"about_ca_topic_score_gemma":0.008542012,"teacher_disagreement_score":0.021828339,"about_ca_system_score_codex":0.0012846593,"about_ca_system_score_gemma":0.0012272818,"threshold_uncertainty_score":0.056440413},"labels":[],"label_agreement":null},{"id":"W2790244657","doi":"10.1016/j.jhealeco.2018.03.002","title":"Blended capitation and incentives: Fee codes inside and outside the capitated basket","year":2018,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Capitation; Fee-for-service; Payment; Capitation fee; Incentive; Business; Primary care; Actuarial science; Jurisdiction; Family medicine; Medicine; Finance; Economics; Health care; Microeconomics","score_opus":0.05794796778861489,"score_gpt":0.2893282074331734,"score_spread":0.2313802396445585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790244657","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":[0.8876376,0.0021193346,0.045774546,0.011287062,0.00043275548,0.00011947931,0.0019039436,0.00024949023,0.05047575],"genre_scores_gemma":[0.9949449,0.00014276696,0.0024942672,0.00017953964,0.0001226407,0.000013661852,0.00020672807,0.000028202894,0.001867286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99385864,0.0028986938,0.0002677025,0.0006898485,0.0009771879,0.00130793],"domain_scores_gemma":[0.9558473,0.028551644,0.006137421,0.0030430052,0.0035011668,0.0029193368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005121656,0.0003705374,0.0014903963,0.0012682454,0.0010398984,0.007368388,0.0010826245,0.002139467,0.010289263],"category_scores_gemma":[0.071573734,0.000487975,0.00068663846,0.0024064388,0.0017543138,0.006900253,0.0022975272,0.0027452607,0.0007504166],"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":[0.002978615,0.0006919331,0.17372094,0.00015217274,0.00025714867,0.0003251611,0.0006048293,0.061392497,0.0008704008,0.5872459,0.020170266,0.15159011],"study_design_scores_gemma":[0.0004163033,0.00047702307,0.1595734,0.00024912335,0.00034261716,0.00044508092,0.0011991358,0.21393363,0.0016776031,0.6028442,0.018635139,0.00020681633],"about_ca_topic_score_codex":0.007553962,"about_ca_topic_score_gemma":0.007981589,"teacher_disagreement_score":0.010289263,"about_ca_system_score_codex":0.0030207254,"about_ca_system_score_gemma":0.0031690851,"threshold_uncertainty_score":0.034420967},"labels":[],"label_agreement":null},{"id":"W28728807","doi":"10.1016/j.jhealeco.2017.06.009","title":"Overview Topic 2000","year":2010,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","score_opus":0.10138244426605086,"score_gpt":0.45862499183699945,"score_spread":0.3572425475709486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W28728807","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012964961,0.0140964985,0.0013356336,0.023015002,0.020491557,0.0004405147,0.011569825,0.0014769727,0.9262775],"genre_scores_gemma":[0.0028545144,0.00812405,0.0006393949,0.005876857,0.005854425,0.00023608029,0.006720747,0.0004026303,0.9692914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992545,0.000100592246,0.00005180875,0.00014330348,0.00032175676,0.00012794827],"domain_scores_gemma":[0.9979767,0.00021363486,0.000091301205,0.00016579247,0.0008533317,0.0006992917],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090637396,0.0011211172,0.00079071923,0.0026237362,0.0015026354,0.005603374,0.0015225374,0.00296305,0.7020232],"category_scores_gemma":[0.0035507393,0.00034084957,0.0006811101,0.0027079517,0.0005048958,0.0028683587,0.0023544321,0.0019319741,0.5519555],"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":[0.000027991677,0.000030800624,0.00035802906,0.00021073251,0.000003964884,0.000057273228,0.000043714976,0.000028689414,0.00015090898,0.0018227121,0.8837317,0.11353336],"study_design_scores_gemma":[0.00000466877,0.0000057297475,0.0004734615,0.00010568818,0.0000017628399,0.00003993268,0.000027921857,0.000014788188,0.000017761977,0.00025598466,0.9990501,0.000002361793],"about_ca_topic_score_codex":0.010461442,"about_ca_topic_score_gemma":0.015254115,"teacher_disagreement_score":0.7020232,"about_ca_system_score_codex":0.0022059567,"about_ca_system_score_gemma":0.004494709,"threshold_uncertainty_score":0.42502773},"labels":[],"label_agreement":null},{"id":"W2908545545","doi":"10.1016/j.jhealeco.2020.102345","title":"Military training exercises, pollution, and their consequences for health","year":2020,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Training (meteorology); Pollution; Environmental health; Environmental planning; Psychology; Medicine; Environmental science; Geography","score_opus":0.15401157883741295,"score_gpt":0.33091333239514387,"score_spread":0.1769017535577309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908545545","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":[0.9418399,0.018249013,0.00061530306,0.017209154,0.0002473792,0.00003995252,0.0009585619,0.000010103631,0.02083069],"genre_scores_gemma":[0.9938228,0.004191294,0.000102739905,0.0004541314,0.00016670625,0.00000936488,0.00007326955,0.0000013352126,0.0011782756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931383,0.00040872532,0.00003071351,0.000041458,0.000076241595,0.00012904595],"domain_scores_gemma":[0.99817824,0.00085085304,0.00044021357,0.00004488337,0.00016657644,0.00031917152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006282655,0.00028807504,0.00022802656,0.0006654112,0.00060161913,0.0011299353,0.00028023182,0.0014163731,0.0066350317],"category_scores_gemma":[0.0028358758,0.00016551683,0.00048360677,0.00075916795,0.0010130488,0.00052342407,0.0007566862,0.000751161,0.0001838126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021331317,0.0024782098,0.90892935,0.00036611548,0.0007844712,0.0009550861,0.00058551354,0.006288162,0.0015770062,0.01599257,0.0039624423,0.055947892],"study_design_scores_gemma":[0.000044186447,0.0006908298,0.9835079,0.00012909976,0.00020606487,0.00025115226,0.0016178422,0.0022185172,0.00019551291,0.007693216,0.0034257772,0.000019950208],"about_ca_topic_score_codex":0.025951127,"about_ca_topic_score_gemma":0.043575205,"teacher_disagreement_score":0.025951127,"about_ca_system_score_codex":0.0012869267,"about_ca_system_score_gemma":0.0011845304,"threshold_uncertainty_score":0.05160016},"labels":[],"label_agreement":null},{"id":"W2919397875","doi":"10.1016/j.jhealeco.2019.06.007","title":"The shattered “Iron Rice Bowl”: Intergenerational effects of Chinese State-Owned Enterprise reform","year":2019,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Layoff; Demographic economics; Overweight; Economics; Natural experiment; Consumption (sociology); Demography; Obesity; Medicine; Unemployment; Economic growth","score_opus":0.017323032983248547,"score_gpt":0.3539551522478306,"score_spread":0.33663211926458203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919397875","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":[0.98497075,0.0003324415,0.00006974117,0.002611502,0.000016853865,0.000017729748,0.0001703481,0.000007229419,0.011803275],"genre_scores_gemma":[0.9975599,0.00013278483,0.000014041742,0.00011889051,0.000006993489,0.000003804543,0.0000328895,0.0000015972198,0.0021290346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995633,0.00008048814,0.000014071378,0.00004575251,0.000056967834,0.00023951098],"domain_scores_gemma":[0.9991722,0.00014718466,0.0002631092,0.00006437354,0.00011686897,0.00023630618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007327739,0.00013349445,0.00022570106,0.0008494889,0.0017046828,0.0015350328,0.00041744986,0.00070201786,0.014057408],"category_scores_gemma":[0.0015566568,0.00011135538,0.0003245234,0.0013995549,0.0017871871,0.001610148,0.0021497488,0.0006895846,0.0002581154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010210801,0.0009982899,0.678467,0.00016599082,0.0002103865,0.0025443588,0.04285753,0.0027190396,0.002667191,0.18933325,0.010465706,0.06855016],"study_design_scores_gemma":[0.000043165415,0.00012611347,0.9478574,0.000048282705,0.00012208484,0.000086376494,0.028923703,0.0013375836,0.0005195464,0.007287701,0.013617473,0.000030518157],"about_ca_topic_score_codex":0.12902555,"about_ca_topic_score_gemma":0.23580569,"teacher_disagreement_score":0.12902555,"about_ca_system_score_codex":0.004539412,"about_ca_system_score_gemma":0.0040736357,"threshold_uncertainty_score":0.25654906},"labels":[],"label_agreement":null},{"id":"W2953069276","doi":"10.1016/j.jhealeco.2019.102228","title":"Medical innovation, education, and labor market outcomes of cancer patients","year":2019,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"W.E. Upjohn Institute for Employment Research","keywords":"Medicine; Cancer; Prostate cancer; Breast cancer; Educational attainment; Cancer registry; Economics; Internal medicine; Economic growth","score_opus":0.033604685302864666,"score_gpt":0.34833318741701724,"score_spread":0.3147285021141526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953069276","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":[0.9939242,0.00061777595,0.00004233844,0.0020438177,0.000023969153,0.000011787935,0.0007627489,0.000003907874,0.0025694948],"genre_scores_gemma":[0.99877614,0.00013077752,0.000009436675,0.00013690213,0.000035492358,0.000004104235,0.00035862924,0.0000011904783,0.0005472862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988187,0.00029258468,0.00010261974,0.00008209101,0.0001144066,0.0005895865],"domain_scores_gemma":[0.98771113,0.0035377294,0.0049671717,0.00027768855,0.0006171581,0.0028891047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016127886,0.0001635698,0.00036458782,0.0011849699,0.0007042791,0.0020122603,0.00059012236,0.0016306071,0.011557561],"category_scores_gemma":[0.0133615965,0.00018572676,0.0008985744,0.0016089281,0.0006007096,0.0013302319,0.0010469536,0.001932487,0.00094431406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043088745,0.00059732154,0.99378407,0.000016912854,0.00008197282,0.00006968278,0.00017357273,0.0004467328,0.000057857545,0.00036076095,0.0005791949,0.0034010995],"study_design_scores_gemma":[0.000056944034,0.00034511238,0.9955883,0.000026116368,0.00006473536,0.00008326117,0.00095051975,0.0011660103,0.0000781075,0.0009452284,0.0006774604,0.000018253979],"about_ca_topic_score_codex":0.013347229,"about_ca_topic_score_gemma":0.014189132,"teacher_disagreement_score":0.013347229,"about_ca_system_score_codex":0.0011379095,"about_ca_system_score_gemma":0.0015916214,"threshold_uncertainty_score":0.038663864},"labels":[],"label_agreement":null},{"id":"W2996367824","doi":"10.1016/j.jhealeco.2020.102300","title":"Mendelian Randomization analysis of the causal effect of adiposity on hospital costs","year":2020,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council Canada; Economic and Social Research Council; Medical Research Council; University of Bristol; Health Foundation","keywords":"Mendelian randomization; Instrumental variable; Statistics; Confidence interval; Medicine; Body mass index; Endogeneity; Marginal model; Causal inference; Marginal structural model; Random effects model; Econometrics; Demography; Mathematics; Internal medicine; Regression analysis; Genetic variants; Biology; Genotype","score_opus":0.009489186536589396,"score_gpt":0.26669882986342125,"score_spread":0.2572096433268318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996367824","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":[0.23059833,0.0009194009,0.76289564,0.0007657721,0.000117237694,0.0005140938,0.00068902737,0.0005723465,0.002928203],"genre_scores_gemma":[0.8700611,0.00043356427,0.12698296,0.00030425683,0.00005219681,0.0006038438,0.00034187868,0.00008718417,0.0011330708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.95961756,0.035276193,0.0007517193,0.0021086913,0.0016847585,0.0005611033],"domain_scores_gemma":[0.9224437,0.0665706,0.0043058484,0.005455593,0.0010077853,0.0002164752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030742997,0.0008449366,0.0017845945,0.0013160938,0.00031608684,0.0010202335,0.0012450817,0.00081186317,0.0037643262],"category_scores_gemma":[0.10683325,0.0004597102,0.002492486,0.0014840538,0.0009494206,0.0011210222,0.0009595942,0.0012443662,0.00027626427],"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":[0.010622119,0.00060470804,0.16383022,0.0013830274,0.016573897,0.0033344678,0.0010774059,0.1791471,0.006516877,0.38216454,0.0058939005,0.22885184],"study_design_scores_gemma":[0.0015721127,0.0018108224,0.04525706,0.00020909701,0.0038716812,0.001686633,0.00018165987,0.60943806,0.0036376629,0.32665423,0.005537875,0.00014307957],"about_ca_topic_score_codex":0.003087572,"about_ca_topic_score_gemma":0.0016902471,"teacher_disagreement_score":0.030742997,"about_ca_system_score_codex":0.0009320994,"about_ca_system_score_gemma":0.0014961404,"threshold_uncertainty_score":0.16258651},"labels":[],"label_agreement":null},{"id":"W2999848278","doi":"10.1016/j.jhealeco.2019.102276","title":"Inequality aversion in income, health, and income-related health","year":2020,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; Population Health Research Institute; McMaster University","funders":"Ontario Ministry of Health and Long-Term Care; Government of Ontario","keywords":"Inequity aversion; Economics; Inequality; Economic inequality; Income distribution; Risk aversion (psychology); Demographic economics; Bivariate analysis; Econometrics; Statistics; Mathematics; Expected utility hypothesis; Financial economics","score_opus":0.08883056210659108,"score_gpt":0.40719680568765465,"score_spread":0.3183662435810636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999848278","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":[0.989828,0.0011765773,0.0008817151,0.0026625567,0.0000321415,0.0000135827395,0.00018995951,0.000007238155,0.0052083787],"genre_scores_gemma":[0.99906605,0.0001933499,0.000081980754,0.00008925403,0.000024630703,0.0000032289047,0.000041933654,0.0000012139297,0.0004984544],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999288,0.0003060385,0.00003425983,0.00005616059,0.00007303016,0.00024250861],"domain_scores_gemma":[0.98904127,0.0068616145,0.001923403,0.00036147062,0.00032716905,0.0014851372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026302086,0.00024968394,0.00038111367,0.0010858207,0.0006219388,0.0012562404,0.00035067557,0.0009346878,0.0047881384],"category_scores_gemma":[0.008703491,0.00026330608,0.00064335467,0.0009742067,0.0014164944,0.0010361702,0.0015688183,0.0018707286,0.00016636605],"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":[0.00060211704,0.0007783904,0.963505,0.000038504208,0.0003511009,0.00034587656,0.0007940172,0.0034895618,0.00030888247,0.020574015,0.00060810446,0.008604549],"study_design_scores_gemma":[0.00003618396,0.00018607131,0.9630524,0.00005256923,0.00012563598,0.00019577885,0.0017832192,0.008143632,0.000103423634,0.025457723,0.0008372427,0.00002610377],"about_ca_topic_score_codex":0.019783217,"about_ca_topic_score_gemma":0.021210372,"teacher_disagreement_score":0.019783217,"about_ca_system_score_codex":0.0009884514,"about_ca_system_score_gemma":0.0007480055,"threshold_uncertainty_score":0.039336145},"labels":[],"label_agreement":null},{"id":"W3012634558","doi":"10.1016/j.jhealeco.2008.07.010","title":"Physicians’ multitasking and incentives: Empirical evidence from a natural experiment","year":2008,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":131,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Human multitasking; Incentive; Natural experiment; Government (linguistics); Service (business); Work (physics); Business; Compensation (psychology); Fee-for-service; Quality (philosophy); Time allocation; Public economics; Operations management; Medicine; Psychology; Marketing; Economics; Health care; Microeconomics; Engineering; Social psychology; Management","score_opus":0.2135401930813599,"score_gpt":0.355406523295168,"score_spread":0.14186633021380807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012634558","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":[0.99568945,0.00021507565,0.0012614637,0.0008854657,0.00004112517,0.00019430947,0.0002067254,0.000012932677,0.0014935845],"genre_scores_gemma":[0.9959943,0.00016282254,0.001531311,0.0005214621,0.00008158331,0.00029395032,0.00019261302,0.000007027165,0.001215039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98789716,0.00950916,0.000464394,0.00083932845,0.00064974197,0.00064034865],"domain_scores_gemma":[0.61915046,0.32233217,0.037968904,0.011597302,0.0016337286,0.0073172986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024805967,0.0006881187,0.0011906708,0.00054345,0.0010411261,0.001972776,0.0013435008,0.0031446412,0.009012278],"category_scores_gemma":[0.09191013,0.0008335777,0.0007290206,0.0005352897,0.002667661,0.0015320779,0.001175144,0.0022437847,0.0010275376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.29657733,0.18086617,0.377083,0.0014122209,0.0041441997,0.0011824142,0.0060300482,0.02637396,0.011406391,0.014605686,0.010811484,0.06950701],"study_design_scores_gemma":[0.1310585,0.08669209,0.6334365,0.00036481235,0.00324252,0.0011114113,0.003293827,0.06094026,0.0057891635,0.061072208,0.012440442,0.00055830105],"about_ca_topic_score_codex":0.0037450988,"about_ca_topic_score_gemma":0.0031459103,"teacher_disagreement_score":0.024805967,"about_ca_system_score_codex":0.0010679354,"about_ca_system_score_gemma":0.0020952537,"threshold_uncertainty_score":0.13118804},"labels":[],"label_agreement":null},{"id":"W3021319198","doi":"10.1016/j.jhealeco.2010.12.002","title":"Health and income: A robust comparison of Canada and the US","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Stochastic dominance; Distribution (mathematics); Income distribution; Econometrics; Economics; Welfare; Estimation; Demographic economics; Mathematics; Inequality","score_opus":0.09862727110504178,"score_gpt":0.39784415666283224,"score_spread":0.29921688555779047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021319198","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":[0.93941957,0.004693752,0.0005140698,0.002089161,0.000103790655,0.00013972301,0.043175362,0.00003527509,0.009829242],"genre_scores_gemma":[0.9813223,0.0009564206,0.0003390998,0.00041850578,0.000030301588,0.000046947684,0.01501085,0.000027967917,0.0018474597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975024,0.0003863817,0.00014719565,0.00031754957,0.00096622005,0.00068019977],"domain_scores_gemma":[0.9932522,0.00086604484,0.0011744,0.00027164115,0.0034949204,0.00094062666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022424958,0.00037342412,0.0008280393,0.003483709,0.0018599648,0.0023177809,0.0017099117,0.0006641691,0.0032563782],"category_scores_gemma":[0.008059208,0.0002621736,0.0014322017,0.013881881,0.00081140106,0.0007602601,0.0016549173,0.0009558758,0.00029275508],"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":[0.0004738957,0.000082417115,0.97852236,0.0000758984,0.0009417902,0.000114101196,0.0003785154,0.0009092803,0.00007692611,0.001233094,0.008584643,0.008606976],"study_design_scores_gemma":[0.000027016527,0.00003033584,0.99407476,0.00004541623,0.00023346867,0.000035973753,0.00084834045,0.00048145434,0.00006239684,0.00008817551,0.0040540667,0.000018553268],"about_ca_topic_score_codex":0.9915671,"about_ca_topic_score_gemma":0.99386483,"teacher_disagreement_score":0.019157453,"about_ca_system_score_codex":0.019157453,"about_ca_system_score_gemma":0.02264914,"threshold_uncertainty_score":0.13899773},"labels":[],"label_agreement":null},{"id":"W3024220866","doi":"10.1016/j.jhealeco.2008.02.006","title":"Maternal employment, breastfeeding, and health: Evidence from maternity leave mandates","year":2008,"lang":"en","type":"preprint","venue":"Journal of Health Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Breastfeeding; Maternity leave; Duration (music); Work (physics); Parental leave; Public health; Environmental health; Maternal health; Demographic economics; Incidence (geometry); Medicine; Nursing; Economic growth; Business; Population; Economics; Pediatrics; Health services","score_opus":0.19840028295901374,"score_gpt":0.43732780921944664,"score_spread":0.2389275262604329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024220866","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":[0.95022345,0.03715281,0.0002738508,0.0052744364,0.00013395287,0.000033511766,0.002257526,0.0000064085198,0.0046439986],"genre_scores_gemma":[0.9807694,0.015489981,0.00022215307,0.0007989631,0.00034473496,0.000041492196,0.0011866047,0.000009185973,0.0011375169],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935776,0.0043193726,0.00034496846,0.0004712508,0.00065238465,0.00063438644],"domain_scores_gemma":[0.8927585,0.08257354,0.016626013,0.0034265756,0.00204932,0.002566039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012952116,0.0005293478,0.001425055,0.0012590968,0.0012045101,0.001619308,0.0019427162,0.0025260288,0.008110649],"category_scores_gemma":[0.060941484,0.0006162152,0.0016859375,0.0033592547,0.0017241333,0.001035501,0.0029377649,0.0017482118,0.00048736957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0070482106,0.001113506,0.94810194,0.0013963246,0.004665853,0.0005444498,0.0014963741,0.0004357119,0.00024576156,0.0017853447,0.0029535787,0.030212792],"study_design_scores_gemma":[0.0004159974,0.00073406653,0.9859476,0.00093427737,0.0047433036,0.00018164048,0.0015162157,0.0002543392,0.0001929596,0.0012626278,0.0037924072,0.00002466023],"about_ca_topic_score_codex":0.037456974,"about_ca_topic_score_gemma":0.04543752,"teacher_disagreement_score":0.037456974,"about_ca_system_score_codex":0.00075205206,"about_ca_system_score_gemma":0.0020769928,"threshold_uncertainty_score":0.07447791},"labels":[],"label_agreement":null},{"id":"W3024844037","doi":"10.1016/j.jhealeco.2005.11.003","title":"Is health insurance affordable for the uninsured?","year":2006,"lang":"en","type":"preprint","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Health insurance; Quarter (Canadian coin); Context (archaeology); Actuarial science; Business; Affordable housing; Purchasing; Public economics; Meaning (existential); Economic growth; Economics; Health care; Geography; Marketing","score_opus":0.12792951378487247,"score_gpt":0.3308432195541077,"score_spread":0.20291370576923526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024844037","genre_codex":"commentary","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":[0.24410604,0.02895971,0.010631852,0.66421777,0.0015192216,0.000040774707,0.002583975,0.00007175654,0.047868982],"genre_scores_gemma":[0.9728343,0.009765132,0.0006906165,0.008355587,0.0044877,0.000022807726,0.00033353124,0.000029990599,0.0034803129],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99802434,0.00069290417,0.00007429244,0.00018415246,0.00041334063,0.0006110232],"domain_scores_gemma":[0.96799403,0.02574895,0.0038444076,0.00048821556,0.0010127751,0.0009115928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004189463,0.0003271954,0.0016776419,0.0015202601,0.00080675835,0.0032305662,0.00086847163,0.0044267676,0.012054552],"category_scores_gemma":[0.041787837,0.00033087304,0.00053624035,0.001812991,0.0029068084,0.006872134,0.000998439,0.0030155557,0.00053967535],"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":[0.0005252517,0.0002754019,0.07759388,0.0006379024,0.00051861,0.0009728446,0.00085668924,0.004973533,0.00035886085,0.70651203,0.09891799,0.10785696],"study_design_scores_gemma":[0.00012338096,0.000070190086,0.05739147,0.0004484846,0.00037416065,0.0005166392,0.0024375792,0.014281853,0.00031285765,0.8966619,0.02732825,0.00005324545],"about_ca_topic_score_codex":0.013975857,"about_ca_topic_score_gemma":0.010620913,"teacher_disagreement_score":0.013975857,"about_ca_system_score_codex":0.0023335423,"about_ca_system_score_gemma":0.002274906,"threshold_uncertainty_score":0.040326536},"labels":[],"label_agreement":null},{"id":"W3025153887","doi":"10.1016/j.jhealeco.2016.06.007","title":"Life cycle responses to health insurance status","year":2016,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"Swiss Finance Institute","keywords":"Welfare; Health insurance; Consumption (sociology); Actuarial science; Economics; Self-insurance; Public economics; Health care; Economic growth","score_opus":0.08301866752421268,"score_gpt":0.45858921022863797,"score_spread":0.3755705427044253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025153887","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":[0.99229676,0.00021633583,0.00025147264,0.0015315403,0.000024690888,0.000025201654,0.0011193271,0.000013364879,0.0045212833],"genre_scores_gemma":[0.9967355,0.000054500142,0.00003295836,0.00011509722,0.000008867391,0.000007599315,0.00046437603,0.0000034122477,0.002577591],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996629,0.00012495485,0.00001239169,0.000037526697,0.000028704882,0.00013354149],"domain_scores_gemma":[0.99191576,0.004725553,0.0012060887,0.00024703462,0.00060597504,0.0012995378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015348705,0.0001192226,0.00025403986,0.00048115553,0.00033810383,0.0012410879,0.00043319978,0.0008851835,0.018160498],"category_scores_gemma":[0.010614365,0.00015632556,0.00040668182,0.00045811918,0.000276541,0.0005685694,0.00084507756,0.00085416046,0.0008918101],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039168615,0.0009859519,0.9244082,0.00013248064,0.0002740229,0.0003181238,0.0023676436,0.014584661,0.003991101,0.014229427,0.0061176494,0.028673904],"study_design_scores_gemma":[0.000031130414,0.00026740105,0.9785907,0.000019106326,0.000047939757,0.00004171224,0.0029752853,0.009085577,0.00031486576,0.00547601,0.0031271102,0.000023054146],"about_ca_topic_score_codex":0.0107417125,"about_ca_topic_score_gemma":0.012797897,"teacher_disagreement_score":0.018160498,"about_ca_system_score_codex":0.0007386984,"about_ca_system_score_gemma":0.00040758261,"threshold_uncertainty_score":0.06075293},"labels":[],"label_agreement":null},{"id":"W3025327916","doi":"10.1016/j.jhealeco.2006.03.001","title":"Child mental health and human capital accumulation: The case of ADHD","year":2006,"lang":"en","type":"preprint","venue":"Journal of Health Economics","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mental health; Psychology; Human capital; Attention deficit hyperactivity disorder; Psychiatry; Educational attainment; Sibling; Test (biology); Clinical psychology; Developmental psychology; Economics","score_opus":0.10767242917631412,"score_gpt":0.4074930563720552,"score_spread":0.2998206271957411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025327916","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":[0.933052,0.005309215,0.0015165935,0.03757061,0.00020593444,0.00003564887,0.0010712387,0.000026460528,0.02121222],"genre_scores_gemma":[0.9950864,0.0014990645,0.0002112351,0.00023094362,0.00012702089,0.000008968972,0.00012295833,0.0000023985726,0.0027110467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994572,0.00017853154,0.000016802229,0.000047260288,0.000035875502,0.00026433633],"domain_scores_gemma":[0.99487174,0.002564232,0.0012049231,0.00017514791,0.00020144274,0.0009824149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001008675,0.0006242566,0.0012476221,0.0011575194,0.0011339244,0.0025484615,0.0008758803,0.003111396,0.01039985],"category_scores_gemma":[0.006489911,0.00039613352,0.00056451623,0.0018989949,0.0014777157,0.0017723258,0.0017432119,0.0026295197,0.00026056476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015612157,0.0016973378,0.71239525,0.00032659477,0.0009860559,0.01790197,0.002321805,0.032194573,0.0006696326,0.16904518,0.020993764,0.039906584],"study_design_scores_gemma":[0.0007221441,0.0005695636,0.59216297,0.00038812382,0.0012453838,0.007678318,0.016077636,0.09617983,0.00068223994,0.2701476,0.01395564,0.00019051426],"about_ca_topic_score_codex":0.083783716,"about_ca_topic_score_gemma":0.07715796,"teacher_disagreement_score":0.083783716,"about_ca_system_score_codex":0.0025003953,"about_ca_system_score_gemma":0.0021822792,"threshold_uncertainty_score":0.16659206},"labels":[],"label_agreement":null},{"id":"W3026009948","doi":"10.1016/j.jhealeco.2003.06.001","title":"Why did employee health insurance contributions rise?","year":2003,"lang":"en","type":"preprint","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Quarter (Canadian coin); Falling (accident); Medicaid; Health insurance; Health care; Self-insurance; Demographic economics; Business; Actuarial science; Labour economics; Economics; Economic growth; Environmental health; Medicine","score_opus":0.0793274435670168,"score_gpt":0.3280795399137457,"score_spread":0.2487520963467289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026009948","genre_codex":"commentary","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":[0.47187683,0.008802589,0.0025329106,0.47266096,0.004067527,0.000046745365,0.0029340456,0.00028546422,0.03679295],"genre_scores_gemma":[0.968475,0.0016272934,0.00037094232,0.019499304,0.0017162124,0.000020861647,0.00038900328,0.00009691068,0.0078045004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971551,0.00050794333,0.00013988625,0.0004399106,0.0007500325,0.0010070427],"domain_scores_gemma":[0.97265506,0.013355932,0.0032497563,0.0010921704,0.005807628,0.003839482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071040625,0.00022038036,0.0006969483,0.0015908957,0.0012677943,0.0048075914,0.0006182206,0.0044205855,0.010602654],"category_scores_gemma":[0.04822301,0.0004370812,0.00042687307,0.0018048752,0.0016084657,0.0037132173,0.0015795308,0.006106229,0.001850041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011530392,0.0004260681,0.438302,0.00035344792,0.0003124045,0.00063496764,0.0047248416,0.0012149635,0.0014317734,0.14112334,0.21489844,0.19542472],"study_design_scores_gemma":[0.00028203754,0.00022437087,0.58585215,0.00079447025,0.0002874346,0.0007568792,0.014410351,0.0040429514,0.0036299916,0.14309348,0.24646565,0.00016015928],"about_ca_topic_score_codex":0.014249921,"about_ca_topic_score_gemma":0.015913745,"teacher_disagreement_score":0.014249921,"about_ca_system_score_codex":0.0030932704,"about_ca_system_score_gemma":0.003219476,"threshold_uncertainty_score":0.037570357},"labels":[],"label_agreement":null},{"id":"W3036872362","doi":"10.1016/j.jhealeco.2021.102461","title":"Identifying the effects of scientific information and recommendations on physicians’ prescribing behavior","year":2021,"lang":"en","type":"preprint","venue":"Journal of Health Economics","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Economic and Social Research Council; National Institute on Aging; Agence Nationale de la Recherche; National Bureau of Economic Research","keywords":"Medical prescription; Preference; Warning system; Medicine; Antidepressant; Public health; Family medicine; Sample (material); Psychology; Psychiatry; Medical emergency; Actuarial science; Business; Pharmacology; Nursing; Computer science; Economics","score_opus":0.4130562899413707,"score_gpt":0.5364107570997979,"score_spread":0.12335446715842718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036872362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931297,0.0006279885,0.0008864866,0.0025941622,0.000079054684,0.00007902544,0.0008091457,0.00004287906,0.0017515573],"genre_scores_gemma":[0.9965611,0.0002913754,0.001250278,0.00030007758,0.00012332437,0.000039686525,0.0004895814,0.000011039201,0.00093356916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9798552,0.014253421,0.0013184479,0.0020870327,0.0015510538,0.00093484105],"domain_scores_gemma":[0.26570016,0.70681834,0.01656821,0.006158503,0.0023512898,0.0024034523],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.038559847,0.0008475217,0.0014779269,0.0016586732,0.0006389061,0.0034226421,0.0011489771,0.0037846933,0.007552236],"category_scores_gemma":[0.21751308,0.0008200028,0.0030961242,0.0015089033,0.0012514436,0.0019868265,0.00084239425,0.0047937064,0.0009391592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.030942308,0.011431684,0.864084,0.00058691,0.0044666687,0.00046597005,0.0005578804,0.022367187,0.0017768622,0.0012517296,0.002906611,0.05916207],"study_design_scores_gemma":[0.0030678113,0.011835804,0.80809116,0.00019832747,0.00888454,0.00031517417,0.0010476455,0.15244275,0.0039807092,0.0080271065,0.0019401169,0.00016885194],"about_ca_topic_score_codex":0.011432337,"about_ca_topic_score_gemma":0.008158224,"teacher_disagreement_score":0.96144015,"about_ca_system_score_codex":0.0017379606,"about_ca_system_score_gemma":0.00287116,"threshold_uncertainty_score":0.20392638},"labels":[],"label_agreement":null},{"id":"W3088588248","doi":"10.1016/j.jhealeco.2021.102475","title":"Face masks, public policies and slowing the spread of COVID-19: Evidence from Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":131,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Counterfactual thinking; Mandate; Coronavirus disease 2019 (COVID-19); Face masks; 2019-20 coronavirus outbreak; Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demographic economics; Demography; Geography; Environmental health; Medicine; Economics; Political science; Psychology; Sociology","score_opus":0.3943731919823698,"score_gpt":0.44244890930348507,"score_spread":0.04807571732111526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088588248","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":[0.87554234,0.035533056,0.00039605427,0.038839985,0.00028931838,0.0002132942,0.009113723,0.000023113786,0.04004908],"genre_scores_gemma":[0.97964466,0.012853321,0.00019300584,0.0026195815,0.00008841273,0.000022400674,0.001271764,0.000010308856,0.0032965792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964496,0.000579704,0.00016018988,0.00016995594,0.0010820364,0.0015584875],"domain_scores_gemma":[0.9805581,0.0056272764,0.0051013506,0.0005281031,0.0052562826,0.002928909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003542643,0.00036928448,0.00071691733,0.001669921,0.0029112343,0.003464207,0.001827254,0.00192098,0.0086769825],"category_scores_gemma":[0.022232376,0.0003812939,0.0008975599,0.0040621455,0.00225319,0.00092585623,0.0014072158,0.0032077923,0.00026192048],"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":[0.002087054,0.0010005007,0.88124645,0.0011687198,0.0010688233,0.00047226992,0.004712597,0.002238465,0.0001669972,0.014622428,0.036768954,0.05444668],"study_design_scores_gemma":[0.000553033,0.0002801534,0.9575174,0.0015484554,0.0010520307,0.000113337286,0.011820242,0.0015323766,0.00026886136,0.0018522133,0.023384597,0.000077218145],"about_ca_topic_score_codex":0.9931919,"about_ca_topic_score_gemma":0.9936978,"teacher_disagreement_score":0.031829294,"about_ca_system_score_codex":0.031829294,"about_ca_system_score_gemma":0.07161614,"threshold_uncertainty_score":0.23093879},"labels":[],"label_agreement":null},{"id":"W3121432686","doi":"10.1016/j.jhealeco.2017.06.009","title":"The impact of team-based primary care on health care services utilization and costs: Quebec’s family medicine groups","year":2017,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Canadian Institutes of Health Research","keywords":"Primary care; Family medicine; Business; Primary health care; Health care; Nursing; Medicine; Economic growth; Economics","score_opus":0.07966807754220917,"score_gpt":0.4517783466408902,"score_spread":0.37211026909868106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121432686","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":[0.9929115,0.0007860589,0.00016476311,0.0014606819,0.000022145805,0.000067258035,0.0016860323,0.000009174029,0.0028924108],"genre_scores_gemma":[0.997712,0.00013845704,0.00021057442,0.00022776949,0.000014885376,0.000030430348,0.000614746,0.0000031035547,0.0010480948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962997,0.0013439478,0.00011218674,0.00030464382,0.0006950209,0.0012445095],"domain_scores_gemma":[0.98944795,0.002164751,0.0031979738,0.0004630581,0.0017791674,0.0029470841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024635165,0.00036890322,0.0005292206,0.0009960856,0.0011565759,0.0013499896,0.0012302405,0.0008148102,0.004715806],"category_scores_gemma":[0.00822436,0.0001432458,0.0011648057,0.0019079092,0.0007828414,0.00058164296,0.0010728075,0.0010054264,0.00019732025],"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":[0.000546918,0.00049594865,0.9704503,0.00008420793,0.00055789837,0.00014256913,0.00029346696,0.0038799904,0.0002930902,0.00041288932,0.002196314,0.020646406],"study_design_scores_gemma":[0.000041064548,0.00015208068,0.9976351,0.000019461797,0.0000571156,0.000015907859,0.00016165717,0.0013083328,0.00006394296,0.000027516531,0.0005116915,0.0000061266364],"about_ca_topic_score_codex":0.9625688,"about_ca_topic_score_gemma":0.9728473,"teacher_disagreement_score":0.03743118,"about_ca_system_score_codex":0.031157026,"about_ca_system_score_gemma":0.017394653,"threshold_uncertainty_score":0.2260611},"labels":[],"label_agreement":null},{"id":"W3121707581","doi":"10.1016/j.jhealeco.2025.102984","title":"The effects of Vietnam-era military service on the long-term health of veterans: A bounds analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","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":"Maxwell School of Citizenship and Public Affairs, Syracuse University; McGill University; University of California, Davis; National Center for Health Statistics; Universidad Autónoma de Nuevo León; Louisiana State University; Syracuse University","keywords":"Term (time); Military service; Vietnam War; Service (business); Gerontology; Service member; Military personnel; Psychology; Political science; Medicine; Business; Marketing","score_opus":0.027977975549554508,"score_gpt":0.4086811679335352,"score_spread":0.3807031923839807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121707581","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":[0.89191,0.005982086,0.08271022,0.0037340098,0.00019463907,0.00031127667,0.0039858846,0.0002674463,0.010904412],"genre_scores_gemma":[0.9893918,0.0010501865,0.0038007658,0.0002598209,0.00014568545,0.00020167424,0.0014905761,0.000032198837,0.0036273215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9948167,0.002974869,0.0002142495,0.0006218962,0.00058533443,0.0007868532],"domain_scores_gemma":[0.9312098,0.05728757,0.0057054004,0.0031318236,0.001421406,0.0012440509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014175064,0.0008333594,0.0014197892,0.0026402147,0.00060139154,0.0024906488,0.0017550155,0.0019150586,0.0072842934],"category_scores_gemma":[0.04434375,0.00065868115,0.0031402346,0.001185063,0.0020407971,0.0023829478,0.0031528987,0.0032047294,0.00049331336],"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":[0.0015185114,0.0011704005,0.28746507,0.0005958895,0.005094647,0.0011487978,0.0010444054,0.53741837,0.0018821129,0.09583474,0.0070574996,0.059769664],"study_design_scores_gemma":[0.00025750464,0.0019910042,0.2060228,0.000409022,0.0030785648,0.00026551203,0.0012972464,0.6800354,0.0025741097,0.09535448,0.008486971,0.00022734438],"about_ca_topic_score_codex":0.01687979,"about_ca_topic_score_gemma":0.0075583356,"teacher_disagreement_score":0.01687979,"about_ca_system_score_codex":0.0018619879,"about_ca_system_score_gemma":0.0016994374,"threshold_uncertainty_score":0.074965775},"labels":[],"label_agreement":null},{"id":"W3121912730","doi":"10.1016/j.jhealeco.2011.09.001","title":"The other ex ante moral hazard in health","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Aging","keywords":"Moral hazard; Ex-ante; Externality; Subsidy; Economics; Consumption (sociology); Public economics; Incentive; Actuarial science; Microeconomics","score_opus":0.19931151601545039,"score_gpt":0.4489136162188726,"score_spread":0.24960210020342222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121912730","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":[0.2393968,0.0068264767,0.17404851,0.19208972,0.003008787,0.0002612926,0.0013261669,0.00020847651,0.38283375],"genre_scores_gemma":[0.94312876,0.001131946,0.002737194,0.0036460264,0.0015639621,0.00005825377,0.000056229143,0.000026118749,0.047651395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969313,0.0017928851,0.00010542,0.00031725215,0.0003320414,0.0005211151],"domain_scores_gemma":[0.98188746,0.012727753,0.0016380543,0.0015944133,0.0007584561,0.0013939332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007973109,0.00058913016,0.0014532343,0.00076592335,0.0013235139,0.00425002,0.0013280666,0.006225666,0.021023523],"category_scores_gemma":[0.0243432,0.00049040915,0.0011299234,0.0005653912,0.0056402157,0.0064020557,0.0019317376,0.0075528896,0.0007032808],"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":[0.00013758494,0.00007850928,0.00135066,0.000096664895,0.000041680574,0.00025047918,0.00019327698,0.0029187922,0.00011466932,0.9818071,0.0055406797,0.007469817],"study_design_scores_gemma":[0.000057639536,0.000036497484,0.00052685774,0.000034131932,0.000017401608,0.00016908161,0.000114637885,0.005969762,0.00005505072,0.9904654,0.0025407637,0.000012836918],"about_ca_topic_score_codex":0.0014886481,"about_ca_topic_score_gemma":0.0011042373,"teacher_disagreement_score":0.021023523,"about_ca_system_score_codex":0.0021903838,"about_ca_system_score_gemma":0.0019812116,"threshold_uncertainty_score":0.07033068},"labels":[],"label_agreement":null},{"id":"W3121934984","doi":"10.1016/j.jhealeco.2011.04.005","title":"Genetic lotteries within families","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Endogeneity; Instrumental variable; Estimator; Econometrics; Economics; Statistics; Mathematics","score_opus":0.1732870127894994,"score_gpt":0.3608541678553466,"score_spread":0.18756715506584717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121934984","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":[0.799299,0.00050290045,0.119717166,0.0051649497,0.000077556295,0.000120828605,0.0006334964,0.00012107384,0.07436293],"genre_scores_gemma":[0.9862752,0.00009534649,0.005660013,0.00012319411,0.000018316898,0.00004250436,0.00006714249,0.000008478493,0.007709909],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982039,0.0011970142,0.00004418663,0.00019582834,0.00015298296,0.00020611919],"domain_scores_gemma":[0.98984796,0.007511899,0.0007725314,0.00090647355,0.0004103983,0.0005506966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002022751,0.00025577366,0.0006825497,0.00053118175,0.00095300906,0.0021920342,0.000817424,0.001401222,0.017959801],"category_scores_gemma":[0.012228943,0.00034352246,0.0005631485,0.0006368346,0.0018654392,0.0031133785,0.00086444797,0.0013089123,0.00060459756],"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":[0.000099428034,0.00011070673,0.0037591984,0.000027551749,0.000047775025,0.0001917489,0.00041947066,0.01052738,0.0002956648,0.9715242,0.0018694345,0.011127393],"study_design_scores_gemma":[0.000037415943,0.000052235766,0.0017215142,0.00001328335,0.000024860577,0.0001451903,0.0003258075,0.025660891,0.00015065774,0.97024786,0.0016076413,0.000012596085],"about_ca_topic_score_codex":0.0019214236,"about_ca_topic_score_gemma":0.0018419736,"teacher_disagreement_score":0.017959801,"about_ca_system_score_codex":0.0013163057,"about_ca_system_score_gemma":0.0007655384,"threshold_uncertainty_score":0.06008154},"labels":[],"label_agreement":null},{"id":"W3122486632","doi":"10.1016/j.jhealeco.2014.03.003","title":"Supplier-induced demand for newborn treatment: Evidence from Japan","year":2014,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Reimbursement; Prospective payment system; Neonatal intensive care unit; Payment; Prospective cohort study; Medicine; On demand; Business; Emergency medicine; Pediatrics; Intensive care medicine; Economics; Health care; Economic growth; Finance; Surgery","score_opus":0.13564833523553516,"score_gpt":0.32308340939530444,"score_spread":0.1874350741597693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122486632","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":[0.99274945,0.0011823756,0.0003588585,0.00090644596,0.000019060584,0.000015631347,0.0017228042,0.00000833857,0.0030369116],"genre_scores_gemma":[0.9970824,0.000687828,0.00009818392,0.0001976602,0.000027453987,0.000009458112,0.00097465893,0.0000060771727,0.0009162651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989071,0.00042198572,0.00012297784,0.0001586929,0.00021338585,0.00017583754],"domain_scores_gemma":[0.97940654,0.0109644495,0.0061222855,0.00075981696,0.0016643978,0.0010825177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020732956,0.00028595843,0.00063377863,0.0010706022,0.0007057606,0.0011763026,0.0007730419,0.0013703242,0.008934601],"category_scores_gemma":[0.009203333,0.00052107923,0.0009432359,0.0018675518,0.00067359355,0.00067208475,0.00094735814,0.0008658214,0.0005148496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021792683,0.00060056325,0.9774417,0.00044685733,0.0006692768,0.0011589597,0.00094353507,0.0022214062,0.00089551957,0.0014817611,0.002800453,0.009160671],"study_design_scores_gemma":[0.0002952793,0.00057158904,0.98578393,0.00010391913,0.00090342277,0.00038032778,0.003149219,0.0037988084,0.0008813511,0.0010343391,0.0030433272,0.000054517557],"about_ca_topic_score_codex":0.057020135,"about_ca_topic_score_gemma":0.06101168,"teacher_disagreement_score":0.057020135,"about_ca_system_score_codex":0.0025229035,"about_ca_system_score_gemma":0.0015494477,"threshold_uncertainty_score":0.11337644},"labels":[],"label_agreement":null},{"id":"W3122630732","doi":"10.1016/j.jhealeco.2004.02.003","title":"An empirical analysis of milk addiction","year":2004,"lang":"en","type":"preprint","venue":"Journal of Health Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Econometrics; Spurious relationship; Addiction; Estimator; Economics; Consumption (sociology); Monte Carlo method; Scrutiny; Autocorrelation; Rational expectations; Statistics; Mathematics; Psychology","score_opus":0.05360276617609859,"score_gpt":0.3017720623780142,"score_spread":0.24816929620191558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122630732","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":[0.9855751,0.0019633528,0.003584474,0.002710371,0.000033544715,0.000047084006,0.0005988418,0.000041939613,0.0054451386],"genre_scores_gemma":[0.99622715,0.00045899217,0.00036769346,0.00015866445,0.00006363405,0.000017170589,0.00024175795,0.000008087546,0.002456745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994653,0.00030184686,0.000027918413,0.000055842072,0.000055813056,0.00009334946],"domain_scores_gemma":[0.96122116,0.032977816,0.0029372869,0.0011829677,0.0007981835,0.00088253757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002249268,0.00035346675,0.0007629836,0.0012409769,0.00056471187,0.0010561247,0.0009600391,0.0013430568,0.017519157],"category_scores_gemma":[0.021841308,0.00028621373,0.00083537475,0.0015700952,0.0010555997,0.0013030029,0.0009560611,0.001874684,0.0007712502],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025631695,0.003510032,0.79313356,0.0003769856,0.0007979735,0.0017213131,0.0013719671,0.007655642,0.0020840967,0.09201319,0.008082384,0.08668962],"study_design_scores_gemma":[0.0005669105,0.0010769855,0.7556534,0.0002155984,0.001366666,0.0018110583,0.0041962783,0.1225183,0.0014036315,0.10061767,0.0104906615,0.00008287521],"about_ca_topic_score_codex":0.0061181025,"about_ca_topic_score_gemma":0.0042328415,"teacher_disagreement_score":0.017519157,"about_ca_system_score_codex":0.00064206537,"about_ca_system_score_gemma":0.0006270207,"threshold_uncertainty_score":0.0586074},"labels":[],"label_agreement":null},{"id":"W3123245706","doi":"10.1016/j.jhealeco.2005.03.009","title":"Household responses to public home care programs","year":2006,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":179,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Foundation for Healthcare Improvement; Institute of Health Services and Policy Research; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Canadian Health Services Research Foundation","keywords":"Business; Health care; Home health; Survey data collection; Public economics; Economic growth; Economics","score_opus":0.11863937882413722,"score_gpt":0.4212274703634561,"score_spread":0.30258809153931887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123245706","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":[0.9856536,0.00008368842,0.00004531107,0.0036271852,0.00003557809,0.000039988023,0.00029878397,0.0000071322224,0.010208769],"genre_scores_gemma":[0.9977857,0.00007292892,0.000020973843,0.0004989251,0.000038616847,0.00002356606,0.00011081035,0.0000017687088,0.0014465549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795973,0.0011578797,0.00006361743,0.00006842503,0.00015033672,0.0005999235],"domain_scores_gemma":[0.99224395,0.0027474766,0.0022792309,0.00031739142,0.00084132206,0.0015705851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016089574,0.00012256211,0.0001854127,0.0006750282,0.0014945029,0.0012985374,0.0004718265,0.00158843,0.008175164],"category_scores_gemma":[0.0085726455,0.00015411586,0.00021671859,0.00091171806,0.00054177095,0.0007733698,0.0015842346,0.0010560226,0.0003818894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015610395,0.002493389,0.8813897,0.0001804817,0.00015196344,0.0010804074,0.032669935,0.0012347514,0.0010277778,0.0037526153,0.022786768,0.051671192],"study_design_scores_gemma":[0.000048300288,0.00040808655,0.8708526,0.000074115866,0.000034109577,0.00011267325,0.115527086,0.00071950164,0.00051437976,0.0007612973,0.010927339,0.00002038268],"about_ca_topic_score_codex":0.018014852,"about_ca_topic_score_gemma":0.03674064,"teacher_disagreement_score":0.018014852,"about_ca_system_score_codex":0.0017092184,"about_ca_system_score_gemma":0.0008935648,"threshold_uncertainty_score":0.035820007},"labels":[],"label_agreement":null},{"id":"W3123295773","doi":"10.1016/j.jhealeco.2008.10.013","title":"The value of a statistical life: A meta-analysis with a mixed effects regression model","year":2008,"lang":"en","type":"review","venue":"Journal of Health Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":195,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport","keywords":"Meta-regression; Meta-analysis; Value (mathematics); Random effects model; Regression analysis; Econometrics; Foundation (evidence); Statistical model; Order (exchange); Regression; Wage; Statistics; Actuarial science; Economics; Psychology; Operations research; Mathematics; Political science; Medicine","score_opus":0.14420338234895436,"score_gpt":0.332169054869185,"score_spread":0.18796567252023066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123295773","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057865465,0.98362863,0.008896543,0.00059694145,0.00038878448,0.00012109849,0.00027181863,0.0000722376,0.00023740433],"genre_scores_gemma":[0.39209408,0.56021225,0.039721914,0.0035549498,0.0014564391,0.0010318024,0.0007768031,0.00029904905,0.00085270236],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9462088,0.041339602,0.0053946413,0.0038335305,0.0028120545,0.00041144193],"domain_scores_gemma":[0.79440945,0.19073883,0.008291102,0.0042334166,0.0019013239,0.00042585563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04714284,0.0035616579,0.018216882,0.004975686,0.00046918553,0.0039104787,0.004330885,0.0044497144,0.00403562],"category_scores_gemma":[0.12126034,0.0017320259,0.035657328,0.004730447,0.0014761342,0.00388346,0.0018087107,0.004443998,0.00032429578],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049221776,0.00006109376,0.0040020975,0.06746161,0.8784223,0.00014233567,0.000088679044,0.0016662586,0.0001783807,0.0008683423,0.0009803633,0.04120636],"study_design_scores_gemma":[0.0019090873,0.00061903405,0.0028103625,0.0077478504,0.9796183,0.00011679831,0.000058028774,0.002135188,0.00017810601,0.002767156,0.001977403,0.000062691906],"about_ca_topic_score_codex":0.00271908,"about_ca_topic_score_gemma":0.0058092754,"teacher_disagreement_score":0.04714284,"about_ca_system_score_codex":0.0017696223,"about_ca_system_score_gemma":0.0015619856,"threshold_uncertainty_score":0.24931818},"labels":[],"label_agreement":null},{"id":"W3124595604","doi":"10.1016/j.jhealeco.2007.11.005","title":"Cigarette taxes and older adult smoking: Evidence from recent large tax increases","year":2007,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"University of Illinois at Urbana-Champaign","keywords":"Behavioral Risk Factor Surveillance System; Economics; Smoking cessation; Demographic economics; Medicine; Environmental health","score_opus":0.18154055225607565,"score_gpt":0.425554237049673,"score_spread":0.24401368479359734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124595604","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":[0.9695221,0.022014096,0.00011436633,0.0020330173,0.00013014444,0.000045424415,0.0022055171,0.000005654769,0.0039297314],"genre_scores_gemma":[0.98077285,0.015827343,0.000082795086,0.0006735303,0.00030315729,0.000013964757,0.0013273695,0.000003405399,0.0009954934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874324,0.00047308998,0.00016413763,0.00018476836,0.0002796632,0.00015506677],"domain_scores_gemma":[0.96570265,0.015315609,0.01283492,0.0021470138,0.0026142923,0.0013855592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003401888,0.00042537114,0.00057372055,0.0016559598,0.0005882322,0.001433464,0.00085457397,0.002098192,0.003681607],"category_scores_gemma":[0.01963917,0.00047996818,0.0011791409,0.0032529708,0.0008564142,0.0009772386,0.0009935796,0.0017091858,0.00047258113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043421877,0.00090436795,0.96807754,0.0004573661,0.0021019017,0.0001696079,0.00028336258,0.00026407032,0.00017559114,0.00034611527,0.0014419516,0.02143599],"study_design_scores_gemma":[0.00016651023,0.00042399572,0.9948796,0.00015017316,0.0015025618,0.000115138246,0.0002456203,0.00011251978,0.0001269911,0.00013829352,0.0021246239,0.000014049563],"about_ca_topic_score_codex":0.04123562,"about_ca_topic_score_gemma":0.05482662,"teacher_disagreement_score":0.04123562,"about_ca_system_score_codex":0.0008036248,"about_ca_system_score_gemma":0.00074812956,"threshold_uncertainty_score":0.081991196},"labels":[],"label_agreement":null},{"id":"W3125173628","doi":"10.1016/s0167-6296(01)00102-3","title":"Alcohol, marijuana, and American youth: the unintended consequences of government regulation","year":2001,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":294,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unintended consequences; Environmental health; Alcohol consumption; Consumption (sociology); Government (linguistics); Human factors and ergonomics; Injury prevention; Suicide prevention; Poison control; Demography; Medicine; Alcohol; Psychology; Political science; Sociology; Law","score_opus":0.0584693038290277,"score_gpt":0.3075796030237148,"score_spread":0.24911029919468708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125173628","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":[0.97885895,0.003553871,0.000040672185,0.011727932,0.00008825155,0.000012133668,0.00032384184,0.000004232351,0.0053901244],"genre_scores_gemma":[0.99661475,0.0019118063,0.0000268272,0.00071264885,0.00009361291,0.00000468968,0.00007189259,0.0000013611107,0.0005624035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987747,0.0005014231,0.000055010474,0.00006780059,0.00019416073,0.00040687495],"domain_scores_gemma":[0.9939355,0.001767141,0.002245023,0.00023989333,0.0005403747,0.0012719969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016624327,0.00018686663,0.00042705867,0.000987767,0.0017272768,0.0021430014,0.00051723205,0.0023875306,0.0044066748],"category_scores_gemma":[0.0076274266,0.0003681721,0.0006619983,0.00163159,0.0014318506,0.0015991573,0.0015657158,0.002393798,0.00021953309],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002655965,0.0004950107,0.98496103,0.000015981614,0.00008531998,0.00032726774,0.00043763118,0.00013348932,0.00004525825,0.0015071367,0.0017238786,0.01000238],"study_design_scores_gemma":[0.00003996972,0.00013612292,0.98989445,0.000057932186,0.00019392633,0.0003361273,0.0039695,0.0005120039,0.000090117144,0.0029136497,0.0018377613,0.000018330245],"about_ca_topic_score_codex":0.09388388,"about_ca_topic_score_gemma":0.18820213,"teacher_disagreement_score":0.09388388,"about_ca_system_score_codex":0.0015757993,"about_ca_system_score_gemma":0.0024692123,"threshold_uncertainty_score":0.18667483},"labels":[],"label_agreement":null},{"id":"W3125548571","doi":"10.1016/j.jhealeco.2013.10.006","title":"Removing financial barriers to organ and bone marrow donation: The effect of leave and tax legislation in the U.S.","year":2013,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"U.S. Public Health Service","keywords":"Legislation; Organ donation; Donation; Bone marrow; Legislature; Generosity; Incentive; Business; Population; Public economics; Medicine; Environmental health; Law; Internal medicine; Economics; Political science; Transplantation; Market economy","score_opus":0.008159965186017207,"score_gpt":0.24907625732803748,"score_spread":0.24091629214202026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125548571","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":[0.73773885,0.0052444385,0.0004748896,0.22011672,0.0007984502,0.000073296855,0.0008851045,0.00004557894,0.034622706],"genre_scores_gemma":[0.96601003,0.0014316314,0.00027093865,0.027390273,0.00024317675,0.00003335042,0.00027853908,0.000014030804,0.0043279626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960024,0.0011106159,0.00013054624,0.00016007082,0.00073727436,0.001859147],"domain_scores_gemma":[0.98363584,0.0058005154,0.003626491,0.00034819142,0.0014546075,0.0051344135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052040336,0.00023944017,0.00039215374,0.00075404486,0.002285185,0.0029446085,0.0013253827,0.0031385184,0.007548188],"category_scores_gemma":[0.016686033,0.00024831982,0.0008973287,0.0011149872,0.0021780822,0.0014929447,0.003038215,0.003720047,0.0004336392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024567745,0.0030769764,0.4348564,0.00063530763,0.00044304825,0.001413092,0.0063563855,0.007710759,0.0016960726,0.14057374,0.2183852,0.1823963],"study_design_scores_gemma":[0.0006762318,0.00088656566,0.8394617,0.0016671449,0.00034365538,0.00031387492,0.02044313,0.0034567853,0.001446637,0.021168914,0.11002398,0.00011136001],"about_ca_topic_score_codex":0.17542543,"about_ca_topic_score_gemma":0.3682868,"teacher_disagreement_score":0.17542543,"about_ca_system_score_codex":0.00507983,"about_ca_system_score_gemma":0.02401825,"threshold_uncertainty_score":0.34880865},"labels":[],"label_agreement":null},{"id":"W4206229463","doi":"10.1016/j.jhealeco.2022.102589","title":"Vaccination strategies and transmission of COVID-19: Evidence across advanced countries","year":2022,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"H2020 European Research Council; Horizon 2020; European Research Council; Horizon 2020 Framework Programme; European Commission","keywords":"Vaccination; Pandemic; Medicine; Transmission (telecommunications); Mass vaccination; Coronavirus disease 2019 (COVID-19); Environmental health; Psychological intervention; Population; Demography; Immunology; Disease; Computer science; Internal medicine","score_opus":0.0785686495268187,"score_gpt":0.4358413580022696,"score_spread":0.3572727084754509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206229463","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":[0.9534196,0.037937395,0.001074456,0.0022214297,0.000073805204,0.00005118562,0.00086231745,0.000008123812,0.004351718],"genre_scores_gemma":[0.9916299,0.0072949533,0.0001989986,0.0003258705,0.00004035452,0.000010468369,0.0003244317,0.0000023235914,0.00017266939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99524325,0.0032891151,0.00033335623,0.00048410994,0.00032838245,0.00032169666],"domain_scores_gemma":[0.97530556,0.013195517,0.008596215,0.0013446634,0.00068891555,0.00086917076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009731567,0.00038996912,0.00065895554,0.0009720071,0.00024817683,0.0010228057,0.0005572687,0.00078603474,0.002618697],"category_scores_gemma":[0.02159599,0.00025801995,0.0015134319,0.0012594562,0.0008883122,0.00086762087,0.0011045613,0.00093512563,0.00020537355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025828674,0.00043789498,0.9316822,0.00088227843,0.00580209,0.00021353441,0.00048544692,0.0072132125,0.00021575765,0.0020130398,0.0010520646,0.04741968],"study_design_scores_gemma":[0.0002988026,0.0017789673,0.98524415,0.0010126863,0.0025571093,0.00016486361,0.00068992487,0.0028321173,0.00029195685,0.0016304604,0.0034723892,0.000026493972],"about_ca_topic_score_codex":0.004956518,"about_ca_topic_score_gemma":0.00362954,"teacher_disagreement_score":0.009731567,"about_ca_system_score_codex":0.0003454139,"about_ca_system_score_gemma":0.00040738043,"threshold_uncertainty_score":0.051466048},"labels":[],"label_agreement":null},{"id":"W4239630095","doi":"10.1016/j.jhealeco.2021.102477","title":"Long-term care spending and hospital use among the older population in England","year":2021,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council; International Foundation for Science; Health Foundation","keywords":"Quarter (Canadian coin); Public spending; Long-term care; Population; Emergency department; Term (time); Medicine; Hospital care; Health spending; Demography; Demographic economics; Health care; Economics; Environmental health; Economic growth; Geography; Nursing; Political science; Health services","score_opus":0.01670963808281547,"score_gpt":0.2963386687407151,"score_spread":0.2796290306578997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239630095","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":[0.99738985,0.0008194908,0.000023634862,0.000313271,0.0000056608988,0.000002296015,0.0006798974,0.0000011456052,0.0007647843],"genre_scores_gemma":[0.99886084,0.00036034215,0.000014839745,0.00004275989,0.000007920896,0.0000031396496,0.0004243162,7.701398e-7,0.0002851142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994019,0.00015970881,0.000093933464,0.000060510905,0.00011215784,0.00017185378],"domain_scores_gemma":[0.99665207,0.00048237952,0.0019731761,0.00010707973,0.00029815343,0.00048722414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005536447,0.00014836054,0.00031439422,0.00082179415,0.0002765837,0.0010668442,0.00025438913,0.0003732124,0.0022688168],"category_scores_gemma":[0.0041610957,0.00017781413,0.00043452877,0.0012161545,0.0003438729,0.0010740857,0.0010125142,0.0005888189,0.0002457483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006054785,0.000024315264,0.99706954,0.000026715588,0.000055053526,0.00014062284,0.0005155577,0.000112621296,0.00005353372,0.00012348959,0.00024715648,0.0015708139],"study_design_scores_gemma":[0.0000019663773,0.000014420561,0.99927443,0.000016653934,0.000008631827,0.00006030416,0.0003631095,0.00004935193,0.000007988969,0.000025910093,0.00017469468,0.0000024964431],"about_ca_topic_score_codex":0.12297956,"about_ca_topic_score_gemma":0.1936606,"teacher_disagreement_score":0.12297956,"about_ca_system_score_codex":0.0018156248,"about_ca_system_score_gemma":0.000590758,"threshold_uncertainty_score":0.24452746},"labels":[],"label_agreement":null},{"id":"W4281693840","doi":"10.1016/j.jhealeco.2022.102638","title":"The deterrent effect of tort law: Evidence from medical malpractice reform","year":2022,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Inference; Patient safety; Malpractice; Damages; Nonparametric statistics; Medical malpractice; Robustness (evolution); Medicine; Actuarial science; Tort; Affect (linguistics); Psychology; Econometrics; Liability; Business; Computer science; Economics; Health care; Law; Political science","score_opus":0.09566365437507683,"score_gpt":0.4795515758318189,"score_spread":0.38388792145674205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281693840","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":[0.80841786,0.010447551,0.001416752,0.052998975,0.00021291719,0.00022739243,0.00069481484,0.000034804445,0.12554893],"genre_scores_gemma":[0.99023294,0.0018768581,0.00025783438,0.0044608824,0.00027918507,0.000039543578,0.000119807206,0.0000060049397,0.0027270124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9893082,0.0053206286,0.0005320083,0.0009367536,0.0024175048,0.0014849593],"domain_scores_gemma":[0.7746881,0.1798002,0.027537249,0.007949052,0.0070915013,0.0029340086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014941547,0.00053710665,0.0014395912,0.0026638592,0.0025709094,0.004096426,0.0022637544,0.007791805,0.022184663],"category_scores_gemma":[0.10899324,0.0005425039,0.0012644142,0.0022440518,0.009049075,0.005149847,0.0029047125,0.0043554557,0.0013139253],"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":[0.010775579,0.011899124,0.25474417,0.0030893458,0.0021950551,0.0022421156,0.007795543,0.0097579155,0.0025927504,0.5087902,0.03467629,0.15144192],"study_design_scores_gemma":[0.006574474,0.0059470157,0.60993695,0.0016972439,0.004114927,0.00091849925,0.009959781,0.006783025,0.004914955,0.2777727,0.071139105,0.00024139855],"about_ca_topic_score_codex":0.009911625,"about_ca_topic_score_gemma":0.010667316,"teacher_disagreement_score":0.022184663,"about_ca_system_score_codex":0.002288894,"about_ca_system_score_gemma":0.004601639,"threshold_uncertainty_score":0.07901937},"labels":[],"label_agreement":null},{"id":"W4283079152","doi":"10.1016/j.jhealeco.2022.102647","title":"Heterogeneity in informal care intensity and its impact on employment","year":2022,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Demographic economics; Residence; Longitudinal data; Construct (python library); Longitudinal study; Work (physics); Work Intensity; Psychology; Gerontology; Medicine; Demography; Economics; Sociology","score_opus":0.025766874619225257,"score_gpt":0.34138073527067314,"score_spread":0.31561386065144786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283079152","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":[0.9935395,0.0008738157,0.0012142848,0.0014350995,0.00003370613,0.000037211244,0.000546302,0.000023568175,0.0022964578],"genre_scores_gemma":[0.99921346,0.000063317726,0.000062331324,0.000049868624,0.000024572251,0.000005595745,0.00007523112,0.0000053261874,0.00050031877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866366,0.008251651,0.00067077356,0.0010714326,0.00064851454,0.0027210838],"domain_scores_gemma":[0.89099413,0.08524357,0.010638575,0.005094866,0.0015770172,0.0064519327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010567712,0.0005180187,0.0017821549,0.0017225656,0.0015190019,0.0043627652,0.0022557545,0.0030788118,0.015102827],"category_scores_gemma":[0.04437272,0.00062988495,0.002747703,0.002418269,0.0032795863,0.0020870774,0.004014745,0.0030025553,0.00069713633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020772724,0.0009006191,0.96913683,0.000056279645,0.0016525947,0.000988807,0.0010743828,0.007750147,0.00067420356,0.0070475843,0.0005935074,0.0080477],"study_design_scores_gemma":[0.00018956304,0.0006003766,0.96470034,0.000065968336,0.00086311944,0.0005459387,0.0053437515,0.014566095,0.000266667,0.012026348,0.00074392173,0.00008795464],"about_ca_topic_score_codex":0.023932738,"about_ca_topic_score_gemma":0.017513044,"teacher_disagreement_score":0.023932738,"about_ca_system_score_codex":0.001992286,"about_ca_system_score_gemma":0.0016227306,"threshold_uncertainty_score":0.055888057},"labels":[],"label_agreement":null},{"id":"W4291312838","doi":"10.1016/j.jhealeco.2022.102671","title":"Global drug diffusion and innovation with the medicines patent pool","year":2022,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Institute for Humane Studies, George Mason University; Cornell University","keywords":"License; Business; Drug; Procurement; Industrial organization; Clinical trial; Drug approval; Product (mathematics); International trade; Pharmacology; Public economics; Marketing; Medicine; Economics; Computer science","score_opus":0.07989695667515356,"score_gpt":0.30393930599111557,"score_spread":0.224042349315962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291312838","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":[0.94392866,0.0053269668,0.009157424,0.0046151136,0.00008675731,0.00012422433,0.021125652,0.00025163073,0.015383501],"genre_scores_gemma":[0.98407334,0.00079791876,0.0021640547,0.00036015266,0.00011881128,0.00007410245,0.01005019,0.00004411178,0.0023171871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99659556,0.0014462116,0.00017306088,0.00076879864,0.00047711172,0.0005392273],"domain_scores_gemma":[0.9688807,0.016913362,0.010318127,0.00198139,0.0008122498,0.0010941597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005491321,0.00057237933,0.001225617,0.00299785,0.0007642174,0.0035965284,0.0008846675,0.0016668324,0.009590995],"category_scores_gemma":[0.028954696,0.00038491466,0.0016300319,0.0049769655,0.001638722,0.004241807,0.003838317,0.0018249804,0.0014207932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013943597,0.00042430492,0.7804033,0.0010719247,0.0013479259,0.0010991986,0.001001038,0.08207276,0.0010229509,0.04584502,0.023140287,0.061177034],"study_design_scores_gemma":[0.0010054691,0.00083767285,0.7754634,0.00038167837,0.0012531573,0.0010792471,0.0015225905,0.08858267,0.0026007511,0.060591422,0.066422544,0.0002592773],"about_ca_topic_score_codex":0.011603797,"about_ca_topic_score_gemma":0.007727742,"teacher_disagreement_score":0.011603797,"about_ca_system_score_codex":0.0012029209,"about_ca_system_score_gemma":0.0010648698,"threshold_uncertainty_score":0.03208506},"labels":[],"label_agreement":null},{"id":"W4305057591","doi":"10.1016/j.jhealeco.2022.102693","title":"Comparing long-term educational effects of two early childhood health interventions","year":2022,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Attrition; Attendance; Low birth weight; Psychological intervention; Medicine; Absenteeism; Graduation (instrument); Randomized controlled trial; Test (biology); Birth weight; Pediatrics; Demography; Nursing; Psychology; Pregnancy","score_opus":0.04308290368457884,"score_gpt":0.37483595279463805,"score_spread":0.3317530491100592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4305057591","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":[0.9786204,0.007323892,0.0017674641,0.00045696314,0.0007697107,0.0073538534,0.00081476825,0.000048698406,0.0028441623],"genre_scores_gemma":[0.9739624,0.0030101042,0.004849059,0.00053234986,0.00036882446,0.014774662,0.0006420254,0.000014304259,0.001846169],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9913107,0.0048896708,0.0011815552,0.0007648914,0.0010268335,0.0008263848],"domain_scores_gemma":[0.9875908,0.007913552,0.0024546084,0.0005471808,0.00050618604,0.0009876771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050069834,0.0013173794,0.0019327584,0.0010348103,0.0005511346,0.000785557,0.0010714817,0.002395966,0.0056482893],"category_scores_gemma":[0.017158728,0.00041257465,0.00283842,0.0007339763,0.0010241288,0.0009656796,0.0011657692,0.0025369953,0.00033033502],"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":[0.7179224,0.14992343,0.004383497,0.006464635,0.009850188,0.00009681424,0.0003186622,0.002487833,0.0039307317,0.0010304323,0.0007342608,0.102857135],"study_design_scores_gemma":[0.2371667,0.7175836,0.02442504,0.0008767513,0.009841681,0.000050892635,0.00022455868,0.0015256437,0.0054477234,0.0009378571,0.0018461347,0.00007350573],"about_ca_topic_score_codex":0.0023238733,"about_ca_topic_score_gemma":0.0027959915,"teacher_disagreement_score":0.0056482893,"about_ca_system_score_codex":0.0012416578,"about_ca_system_score_gemma":0.0022346505,"threshold_uncertainty_score":0.02647978},"labels":[],"label_agreement":null},{"id":"W4308035134","doi":"10.1016/j.jhealeco.2022.102698","title":"Early childhood health shocks, classroom environment, and social-emotional outcomes","year":2022,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Psychology; Peer effects; Developmental psychology; Externality; Emotional distress; Social emotional learning; Distress; Early childhood; Clinical psychology; Social psychology; Anxiety; Psychiatry; Economics","score_opus":0.026405553323470353,"score_gpt":0.29352360277108996,"score_spread":0.26711804944761963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308035134","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":[0.99808383,0.0003742605,0.00005361292,0.00023191051,0.000013808927,0.000004791701,0.00041368586,0.0000045877746,0.0008193645],"genre_scores_gemma":[0.9987463,0.00019811661,0.000028674707,0.00002957628,0.000009266338,0.0000049535975,0.00032217233,0.0000014611754,0.0006595085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992181,0.00016246681,0.00004216711,0.00007390135,0.000083706545,0.0004196474],"domain_scores_gemma":[0.99718386,0.0005462248,0.00088691263,0.0001286139,0.00015391396,0.0011004378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083267986,0.0003579403,0.00034435777,0.00073363894,0.00068916974,0.0015763621,0.0004802137,0.0008963844,0.0051447293],"category_scores_gemma":[0.0039103003,0.00028511725,0.00068454375,0.0010321136,0.0005310681,0.0006599815,0.0016882898,0.0015503768,0.00042745273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015245205,0.00024989984,0.99671197,0.000011628645,0.00008552094,0.0000939098,0.00014051438,0.0002063827,0.000099560784,0.00019895007,0.00016646697,0.0018826671],"study_design_scores_gemma":[0.0000040700597,0.000072090574,0.9988305,0.000011024936,0.000029752455,0.0000326855,0.000561469,0.00014643693,0.000047063975,0.000117206764,0.00014424477,0.0000036364074],"about_ca_topic_score_codex":0.046601746,"about_ca_topic_score_gemma":0.05390442,"teacher_disagreement_score":0.046601746,"about_ca_system_score_codex":0.00071714283,"about_ca_system_score_gemma":0.0011829128,"threshold_uncertainty_score":0.09266096},"labels":[],"label_agreement":null},{"id":"W4323111063","doi":"10.1016/j.jhealeco.2023.102741","title":"Providers, peers and patients. How do physicians’ practice environments affect patient outcomes?","year":2023,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Relocation; Affect (linguistics); Peer group; Clinical Practice; Quality (philosophy); Medicine; Exploit; Medical emergency; Family medicine; Psychology; Social psychology; Computer science","score_opus":0.04307825350448684,"score_gpt":0.282267200443418,"score_spread":0.23918894693893117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323111063","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":[0.94287544,0.006437999,0.0003627335,0.041548654,0.00018432121,0.000037582035,0.0009804107,0.000007928164,0.0075648874],"genre_scores_gemma":[0.99726486,0.0007641916,0.00012020673,0.0011211052,0.00013797563,0.00001251594,0.0001412215,0.000005229441,0.0004326485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937249,0.003436013,0.0003779277,0.0005498035,0.0010568852,0.0008544776],"domain_scores_gemma":[0.9259356,0.030182093,0.024596915,0.0011782468,0.003558484,0.014548718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005470714,0.00022518048,0.00063718035,0.0008957317,0.0013652478,0.0034786058,0.0008427427,0.002414377,0.0076579275],"category_scores_gemma":[0.05915075,0.00041865435,0.0007014902,0.0014874572,0.001503011,0.0028098861,0.0018201666,0.0028859864,0.000745906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029571026,0.00041890863,0.9776334,0.00006713327,0.00034058737,0.00015285313,0.0023096604,0.00023936956,0.000052067193,0.0007199852,0.00255404,0.01521617],"study_design_scores_gemma":[0.000069216796,0.00019054044,0.98875797,0.00017270228,0.00019251785,0.00016045266,0.0063403607,0.00043370356,0.000043642995,0.0017823747,0.0018314347,0.000024939227],"about_ca_topic_score_codex":0.02443134,"about_ca_topic_score_gemma":0.034128513,"teacher_disagreement_score":0.02443134,"about_ca_system_score_codex":0.0017746523,"about_ca_system_score_gemma":0.0030200246,"threshold_uncertainty_score":0.048578262},"labels":[],"label_agreement":null},{"id":"W4385326691","doi":"10.1016/j.jhealeco.2023.102798","title":"Does drug decriminalization increase unintentional drug overdose deaths?","year":2023,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Decriminalization; Medicine; Drug; Drug overdose; Context (archaeology); Emergency medicine; Poison control; Medical emergency; Pharmacology; Geography","score_opus":0.021557329086883157,"score_gpt":0.3072690429986863,"score_spread":0.2857117139118031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385326691","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":[0.7106368,0.046385713,0.0009946454,0.19466259,0.002561715,0.00016359045,0.0019695184,0.00008983153,0.042535663],"genre_scores_gemma":[0.97809476,0.007245663,0.00041341418,0.011287885,0.001155001,0.000020420488,0.00016383595,0.000014640061,0.0016043832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955727,0.002646335,0.000295288,0.0003230673,0.0006004285,0.0005621813],"domain_scores_gemma":[0.94842654,0.03229034,0.011348168,0.001756026,0.0038527804,0.0023260948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00495325,0.00024539055,0.000616531,0.0008446573,0.00046844524,0.0018647051,0.0007468481,0.0019095169,0.0095911445],"category_scores_gemma":[0.06077276,0.0002854077,0.0010128167,0.000994368,0.000743806,0.0016822706,0.0008307366,0.0022417093,0.0007428335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060345316,0.0018744611,0.7417182,0.0010128744,0.0017587299,0.0003600436,0.0003501692,0.0006212272,0.00031343798,0.004803927,0.017712504,0.22343996],"study_design_scores_gemma":[0.0010049804,0.0021939508,0.9420238,0.0024140344,0.0032619145,0.0008851219,0.001604089,0.003042588,0.0014154112,0.007647858,0.03445888,0.0000473874],"about_ca_topic_score_codex":0.00935167,"about_ca_topic_score_gemma":0.019762104,"teacher_disagreement_score":0.0095911445,"about_ca_system_score_codex":0.0014830875,"about_ca_system_score_gemma":0.0029159205,"threshold_uncertainty_score":0.032085538},"labels":[],"label_agreement":null},{"id":"W4389248318","doi":"10.1016/j.jhealeco.2023.102842","title":"Valuing life over the life cycle","year":2023,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Willingness to pay; Value of life; Longevity; Economics; Consumption (sociology); Life expectancy; Willingness to accept; Valuation (finance); Falling (accident); Actuarial science; Medicine; Gerontology; Microeconomics; Environmental health; Population; Finance","score_opus":0.10937971364130533,"score_gpt":0.46429160504612693,"score_spread":0.3549118914048216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389248318","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":[0.6587342,0.002401963,0.24924242,0.0060314382,0.00017322888,0.00012666156,0.0010306974,0.00009202433,0.082167365],"genre_scores_gemma":[0.9902249,0.0004424854,0.006507102,0.00009218235,0.000022072658,0.000022164948,0.000116842224,0.0000107722,0.0025616055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994149,0.00035972084,0.000018959978,0.00006871111,0.00007227819,0.000065440916],"domain_scores_gemma":[0.9989747,0.00053307455,0.00015040224,0.00011776073,0.0000891613,0.00013493534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015104486,0.00037102998,0.00036842944,0.00045835442,0.0002642988,0.0023042304,0.00043835785,0.0009742016,0.0036383003],"category_scores_gemma":[0.0062399134,0.00020634437,0.0004726438,0.00073888473,0.00096554804,0.002635529,0.0008561694,0.0006770665,0.00019074514],"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":[0.00017936312,0.00008692728,0.01850668,0.00011104552,0.00017279907,0.000363546,0.00092103,0.3266973,0.0019105391,0.59616256,0.0029723616,0.051915966],"study_design_scores_gemma":[0.000017306416,0.00019045456,0.011835979,0.00010693053,0.000056699137,0.0002699697,0.0010188846,0.27231964,0.0005383976,0.7010818,0.012495975,0.00006794922],"about_ca_topic_score_codex":0.0018676069,"about_ca_topic_score_gemma":0.0013875364,"teacher_disagreement_score":0.0036383003,"about_ca_system_score_codex":0.0015209321,"about_ca_system_score_gemma":0.00064852,"threshold_uncertainty_score":0.012171328},"labels":[],"label_agreement":null},{"id":"W4389627518","doi":"10.1016/j.jhealeco.2023.102841","title":"Socioeconomic status and access to mental health care: The case of psychiatric medications for children in Ontario Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; NOMIS Stiftung; Institute for Clinical Evaluative Sciences","keywords":"Socioeconomic status; Psychiatry; Medicine; Context (archaeology); Mental health; Depression (economics); Anxiety; Public health; Environmental health; Population","score_opus":0.04286750304312631,"score_gpt":0.3244309757672841,"score_spread":0.28156347272415777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389627518","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":[0.98591876,0.0011407319,0.000095032665,0.0029676787,0.000018794275,0.00004141384,0.004210646,0.000006568582,0.0056002936],"genre_scores_gemma":[0.99640226,0.0008029477,0.00013834478,0.00018200104,0.000011222808,0.000014703828,0.0012020234,0.00000451981,0.0012421036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846196,0.00010710215,0.00006827339,0.00010682448,0.00038201362,0.0008738393],"domain_scores_gemma":[0.9956049,0.00035982853,0.001464503,0.00010836022,0.0009996566,0.0014628796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066757173,0.0003512311,0.00056577666,0.0018046354,0.0044633406,0.0022792558,0.001331502,0.0007546365,0.00419375],"category_scores_gemma":[0.003550766,0.00033725475,0.0010662052,0.0074139438,0.0013293846,0.0007019232,0.0019800505,0.001306755,0.00023247527],"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":[0.00004159221,0.00003615549,0.990884,0.000038079066,0.000060955943,0.00038140637,0.002332163,0.00028741546,0.000059370333,0.0009599695,0.0019169969,0.0030018438],"study_design_scores_gemma":[0.000012867309,0.00001466104,0.9888285,0.00008602731,0.000038972812,0.00012197643,0.007668025,0.0006171172,0.000029151483,0.00015769246,0.002408931,0.000016067288],"about_ca_topic_score_codex":0.9985232,"about_ca_topic_score_gemma":0.9993318,"teacher_disagreement_score":0.06376878,"about_ca_system_score_codex":0.06376878,"about_ca_system_score_gemma":0.053860754,"threshold_uncertainty_score":0.46267706},"labels":[],"label_agreement":null},{"id":"W4390278155","doi":"10.1016/j.jhealeco.2023.102843","title":"Sibling spillovers and the choice to get vaccinated: Evidence from a regression discontinuity design","year":2023,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","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":"University of Toronto; Danmarks Frie Forskningsfond; Carlsbergfondet; Aarhus Universitet","keywords":"Regression discontinuity design; Spillover effect; Demography; Danish; Sibling; Percentage point; Inequality; Instrumental variable; Population; Regression; Natural experiment; Vaccination; Medicine; Human papillomavirus vaccine; Demographic economics; Psychology; Econometrics; Economics; Environmental health; Developmental psychology; Cervical cancer; Statistics; Immunology; Mathematics","score_opus":0.09354836626553964,"score_gpt":0.3766659393623966,"score_spread":0.283117573096857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390278155","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":[0.9726733,0.002367439,0.018653208,0.0010968129,0.0000657688,0.00016426863,0.0012703658,0.000047309186,0.0036615506],"genre_scores_gemma":[0.99508226,0.00034154393,0.0023944261,0.000217205,0.000019114996,0.00010228072,0.0004195733,0.000008263973,0.0014154403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9785432,0.01706489,0.00083123666,0.00168823,0.0009801424,0.00089226477],"domain_scores_gemma":[0.88751733,0.08217288,0.019610014,0.008271094,0.0012182286,0.0012104844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025359103,0.00041516815,0.0013613292,0.00095291506,0.0007276446,0.0013591665,0.002337947,0.0018807647,0.00883059],"category_scores_gemma":[0.068384685,0.00040756495,0.002334365,0.0011649666,0.0012899406,0.00090746925,0.002229954,0.0021956363,0.000580363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0077556022,0.0026008443,0.8612938,0.00074853434,0.008084148,0.0012507231,0.002993863,0.014144269,0.0013538703,0.033033334,0.002061551,0.06467937],"study_design_scores_gemma":[0.0017423626,0.0042789946,0.81619656,0.00061396504,0.00921577,0.00108935,0.0027235884,0.103657894,0.0031250326,0.048644353,0.008522828,0.00018938967],"about_ca_topic_score_codex":0.010781022,"about_ca_topic_score_gemma":0.006738147,"teacher_disagreement_score":0.025359103,"about_ca_system_score_codex":0.0008163513,"about_ca_system_score_gemma":0.0007780794,"threshold_uncertainty_score":0.13411337},"labels":[],"label_agreement":null},{"id":"W4398185788","doi":"10.1016/j.jhealeco.2024.102898","title":"Who responds to longer wait times? The effects of predicted emergency wait times on the health and volume of patients who present for care","year":2024,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Emergency department; Medicine; Triage; Health care; Medical emergency; Emergency medicine; Leverage (statistics); Nursing; Economics; Statistics","score_opus":0.02894033105551875,"score_gpt":0.28800423679225917,"score_spread":0.25906390573674043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398185788","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":[0.9875152,0.0007350857,0.00038256787,0.009000683,0.00012991426,0.000011611897,0.00059544836,0.00002175755,0.001607539],"genre_scores_gemma":[0.99877304,0.00017510113,0.000059242637,0.00030061486,0.00013616591,0.0000051259744,0.00020071748,0.0000077279465,0.0003423235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969994,0.0014006189,0.00017643311,0.00029451784,0.00018191064,0.00094720745],"domain_scores_gemma":[0.8933332,0.07236633,0.020385014,0.0020575286,0.0013527555,0.010505116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059762523,0.00031963238,0.0008119336,0.00081360765,0.0006251724,0.0027181776,0.0014516611,0.003331255,0.011471387],"category_scores_gemma":[0.05782743,0.0006698741,0.0020819968,0.00096526596,0.0009927952,0.0025134054,0.0011415634,0.004661039,0.001005014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020257365,0.00065770926,0.97906166,0.000052850162,0.00046774917,0.00045230993,0.00023755158,0.008930522,0.00015853258,0.0010420991,0.0018167981,0.0050965543],"study_design_scores_gemma":[0.00022961231,0.000827843,0.9524409,0.00008141422,0.0004521009,0.00049005426,0.0020744954,0.036620308,0.00024336924,0.0058174026,0.00065593334,0.00006653573],"about_ca_topic_score_codex":0.014124214,"about_ca_topic_score_gemma":0.010627477,"teacher_disagreement_score":0.014124214,"about_ca_system_score_codex":0.00089778926,"about_ca_system_score_gemma":0.00179749,"threshold_uncertainty_score":0.038375616},"labels":[],"label_agreement":null},{"id":"W4400270982","doi":"10.1016/j.jhealeco.2024.102914","title":"Nudging the nudger: Performance feedback and organ donor registrations","year":2024,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Benchmark (surveying); Agency (philosophy); Government (linguistics); Randomized controlled trial; Medicine; Intervention (counseling); Service (business); Psychology; Business; Nursing; Marketing; Surgery","score_opus":0.03686760551785403,"score_gpt":0.32123628046633534,"score_spread":0.28436867494848134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400270982","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":[0.9876052,0.0026228894,0.00065808604,0.0015314638,0.0008619982,0.004122162,0.00023458671,0.00014968259,0.0022139442],"genre_scores_gemma":[0.9878781,0.0010986801,0.003388484,0.0007823967,0.00040400025,0.005072668,0.00013707048,0.00001425693,0.0012243851],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9903653,0.006913237,0.00048101714,0.00096164946,0.0006792242,0.0005995819],"domain_scores_gemma":[0.9873166,0.0068265116,0.001996292,0.0006132782,0.00037939008,0.0028680777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009056552,0.0010471351,0.0020716398,0.0007863037,0.0017600097,0.0013426745,0.0014621203,0.0035773523,0.0087165665],"category_scores_gemma":[0.02475329,0.0006494921,0.0013543797,0.000704951,0.0018367524,0.0013318881,0.0012729137,0.0034346047,0.0006522413],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.7166849,0.1183709,0.005589113,0.004851617,0.0015748851,0.00008079333,0.0010939289,0.00065165333,0.0015072288,0.000571088,0.0026012608,0.14642265],"study_design_scores_gemma":[0.6561548,0.31300825,0.022554347,0.0010061782,0.0012528647,0.000040020368,0.0004568899,0.0014873648,0.0009310803,0.0005922682,0.0024329482,0.00008299827],"about_ca_topic_score_codex":0.0055468176,"about_ca_topic_score_gemma":0.0068510026,"teacher_disagreement_score":0.009056552,"about_ca_system_score_codex":0.0016703566,"about_ca_system_score_gemma":0.0033676175,"threshold_uncertainty_score":0.047896206},"labels":[],"label_agreement":null},{"id":"W4403000996","doi":"10.1016/j.jhealeco.2024.102933","title":"Medical ethics and physician motivations","year":2024,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Physician supply; Medical ethics; Family medicine; Medicine; Psychology; Business; Environmental health","score_opus":0.11862693516529554,"score_gpt":0.35853897658094425,"score_spread":0.2399120414156487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403000996","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":[0.23851438,0.004844901,0.11509139,0.1310429,0.00038060153,0.00017519553,0.0002706727,0.000057263547,0.50962263],"genre_scores_gemma":[0.9878927,0.00065757637,0.004412823,0.0020755427,0.00019615192,0.000056527264,0.000020720468,0.000010980363,0.0046769395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99523973,0.0031711962,0.00012600975,0.00025822947,0.0005733044,0.00063161144],"domain_scores_gemma":[0.9856542,0.009919125,0.0020251395,0.0006972307,0.00079700316,0.0009074042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004835425,0.00022510428,0.00027756428,0.0010885473,0.0018320158,0.0037735237,0.0005737287,0.002728777,0.0063725105],"category_scores_gemma":[0.018019209,0.00025595273,0.00037419674,0.00059303653,0.008592355,0.002478591,0.0019322885,0.0023563807,0.00033518582],"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":[0.0000063608095,0.000014977349,0.0014321783,0.000010956899,0.0000046575346,0.00003413036,0.00021519132,0.0013419157,0.00004755785,0.99379855,0.00053788157,0.0025557368],"study_design_scores_gemma":[0.000018172417,0.000016748338,0.0021760233,0.000052718402,0.000004190056,0.00009420702,0.000474893,0.0036696624,0.00007914475,0.98082286,0.01257875,0.000012600902],"about_ca_topic_score_codex":0.0023359659,"about_ca_topic_score_gemma":0.001613704,"teacher_disagreement_score":0.0063725105,"about_ca_system_score_codex":0.0039357757,"about_ca_system_score_gemma":0.0037320713,"threshold_uncertainty_score":0.028556108},"labels":[],"label_agreement":null},{"id":"W4409323342","doi":"10.1016/j.jhealeco.2025.102996","title":"Procurement institutions and essential drug supply in low and middle-income countries","year":2025,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Procurement; Low and middle income countries; Business; Developing country; Economics; Economic growth; Marketing","score_opus":0.04875792013136287,"score_gpt":0.32286762259252866,"score_spread":0.2741097024611658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409323342","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":[0.98938036,0.0022202823,0.0010985164,0.00062600913,0.000015964877,0.000027131957,0.002149428,0.00001394387,0.004468364],"genre_scores_gemma":[0.99772877,0.0007059497,0.00023629943,0.000063005216,0.00001679789,0.0000132620935,0.0007829245,0.0000050755543,0.0004480623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987148,0.00040979253,0.00014744568,0.00013621862,0.00018022335,0.00041156044],"domain_scores_gemma":[0.9853904,0.0040365467,0.008619278,0.00027039155,0.00074325176,0.000940122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001627088,0.0002473444,0.0004566231,0.0014117735,0.00048725551,0.0017118134,0.00038365423,0.00035547063,0.0063527822],"category_scores_gemma":[0.007710846,0.00036088543,0.0005829292,0.0042125126,0.0008138058,0.001812325,0.0019765727,0.0008020106,0.00041986056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012926999,0.00006323453,0.9807567,0.00017293272,0.00014376796,0.00029095486,0.0004957876,0.0043475362,0.00012897544,0.0022054072,0.001203525,0.010061885],"study_design_scores_gemma":[0.00003008648,0.00013839542,0.98724896,0.0001706392,0.00009640499,0.00021242631,0.003108613,0.0025187882,0.00034960374,0.0018699463,0.00423491,0.00002127581],"about_ca_topic_score_codex":0.016146297,"about_ca_topic_score_gemma":0.014369053,"teacher_disagreement_score":0.016146297,"about_ca_system_score_codex":0.0014336734,"about_ca_system_score_gemma":0.001264071,"threshold_uncertainty_score":0.03210461},"labels":[],"label_agreement":null},{"id":"W4411572638","doi":"10.1016/j.jhealeco.2025.103023","title":"Heterogeneous peer effects and gender-based interventions for teenage obesity","year":2025,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Agence Nationale de la Recherche","keywords":"Psychological intervention; Obesity; Peer effects; Psychology; Medicine; Social psychology; Endocrinology; Psychiatry","score_opus":0.05322222835969436,"score_gpt":0.3618339440118634,"score_spread":0.30861171565216905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411572638","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":[0.9889781,0.0020356248,0.00048096833,0.0015613222,0.00030012126,0.00024511333,0.00009920649,0.000018626753,0.0062808194],"genre_scores_gemma":[0.9972126,0.00065784017,0.0005941461,0.0001887944,0.0001424864,0.00019540341,0.000029857942,0.000006212051,0.00097270886],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968675,0.0019445377,0.000121303405,0.00033035123,0.00037274745,0.0003635205],"domain_scores_gemma":[0.9950399,0.0034145713,0.00042068292,0.00019752997,0.00017248154,0.0007548607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031056686,0.0004546606,0.0008586641,0.00066822616,0.0008993144,0.00066218193,0.0007641263,0.0009907037,0.015680376],"category_scores_gemma":[0.016670948,0.00024424118,0.00093138876,0.00036322785,0.00065794674,0.00085672725,0.0013024178,0.0010035373,0.0002818244],"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":[0.07242649,0.11111239,0.11580883,0.003045802,0.007805281,0.0010627148,0.00844858,0.004057711,0.007129741,0.016485909,0.005698886,0.6469177],"study_design_scores_gemma":[0.034969795,0.07871012,0.8084296,0.0021972088,0.010380594,0.00041858948,0.011514622,0.009374521,0.003786789,0.023710053,0.01636267,0.00014543586],"about_ca_topic_score_codex":0.0036907627,"about_ca_topic_score_gemma":0.0071931407,"teacher_disagreement_score":0.015680376,"about_ca_system_score_codex":0.0008262501,"about_ca_system_score_gemma":0.0013270323,"threshold_uncertainty_score":0.05245608},"labels":[],"label_agreement":null},{"id":"W4413138265","doi":"10.1016/j.jhealeco.2025.103051","title":"Prescribing power and equitable access to care: Evidence from pharmacists in Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Institute for Clinical Evaluative Sciences; Ontario Ministry of Health and Long-Term Care; Ministry of Health, Ontario","keywords":"Pharmacy; Medicine; Spillover effect; Family medicine; Health care; Medical emergency; Economic growth","score_opus":0.11469057486376344,"score_gpt":0.3397738335910449,"score_spread":0.22508325872728147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413138265","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":[0.9412638,0.013312516,0.00041882298,0.011892788,0.0000744958,0.00026573587,0.0042522075,0.000017991693,0.02850157],"genre_scores_gemma":[0.99319446,0.0043663247,0.00018116993,0.0006347387,0.000021906191,0.000022970411,0.0004645956,0.0000055613637,0.001108309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99487215,0.0009615297,0.0003585158,0.00040378637,0.0021452736,0.0012587189],"domain_scores_gemma":[0.97127366,0.007818664,0.008256128,0.0010937352,0.007062965,0.0044947756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033462956,0.0002468593,0.00077675993,0.0008905656,0.0036003636,0.0023530705,0.0016199257,0.0010498251,0.005679855],"category_scores_gemma":[0.027954068,0.00042745622,0.0008464431,0.004001924,0.002243505,0.0007698415,0.0012595544,0.0013478891,0.00018322885],"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":[0.0012853288,0.0004550203,0.9183577,0.001093456,0.0008070367,0.00042238823,0.0040553296,0.0021939771,0.00014692394,0.0041775224,0.010948021,0.056057382],"study_design_scores_gemma":[0.00044637255,0.0001668815,0.98315984,0.00061797677,0.0004306794,0.00008575647,0.002906956,0.0015493964,0.00010984844,0.00074151624,0.009735426,0.000049251903],"about_ca_topic_score_codex":0.99684614,"about_ca_topic_score_gemma":0.99831307,"teacher_disagreement_score":0.0719098,"about_ca_system_score_codex":0.0719098,"about_ca_system_score_gemma":0.117488034,"threshold_uncertainty_score":0.52174455},"labels":[],"label_agreement":null}]}