{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":253,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":253,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"55f4862b1f8a","filters":{"venue":"Health Economics"}},"results":[{"id":"W2150106013","doi":"10.1002/hec.903","title":"Cost‐effectiveness acceptability curves – facts, fallacies and frequently asked questions","year":2004,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":943,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; St. Joseph's Hospital","funders":"","keywords":"Asymptote; Mathematics; Imperfect; Monotonic function; Mathematical economics; Econometrics; Mathematical analysis","authors":[{"name":"Elisabeth Fenwick","is_ca":true},{"name":"Bernie J. OʼBrien","is_ca":true},{"name":"Andrew Briggs","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4191199739071165,"gpt":0.4697400206033989,"spread":0.05062004669628239,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09791427,0.0009933576,0.001486121,0.006354752,0.00182345,0.008356573,0.003031012,0.006658159,0.004659898],"category_scores_gemma":[0.4265532,0.001051387,0.001361465,0.008187883,0.01386736,0.02613604,0.004001281,0.01145936,0.001185134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005261496,"about_ca_system_score_gemma":0.001527627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296426,"about_ca_topic_score_gemma":0.001182486,"domain_scores_codex":[0.9153361,0.06158564,0.007437897,0.002438657,0.01243649,0.000765249],"domain_scores_gemma":[0.4856872,0.4722864,0.01510289,0.009227897,0.01678874,0.0009068847],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002088029,0.00004784935,0.004923867,0.00263999,0.0001162553,0.0005597508,0.0112158,0.004214721,0.0002361275,0.5234612,0.1214152,0.3309605],"study_design_scores_gemma":[0.00003097658,0.00008162309,0.003190579,0.004854795,0.00004545691,0.001904201,0.007922443,0.00424136,0.0003457489,0.7914873,0.1857006,0.0001949014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02853902,0.1506784,0.1560342,0.6165143,0.005101153,0.0002397058,0.001829034,0.0005519635,0.04051215],"genre_scores_gemma":[0.6673698,0.1089565,0.1189053,0.08132558,0.01431539,0.001205765,0.00172469,0.0008333514,0.005363449],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9020857,"threshold_uncertainty_score":0.5178263,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982564323","doi":"10.1002/hec.678","title":"Something old, something new, something borrowed, something blue: a framework for the marriage of health econometrics and cost‐effectiveness analysis","year":2002,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":547,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Western University","funders":"","keywords":"Econometrics; Economics; Statistic; Regression; Cost effectiveness; Health economics; Regression analysis; Marginal cost; Actuarial science; Computer science; Health care; Statistics; Operations management; Microeconomics; Mathematics","authors":[{"name":"Jeffrey S. Hoch","is_ca":true},{"name":"Andrew Briggs","is_ca":false},{"name":"Andrew R. Willan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4831391557600736,"gpt":0.4576812247316489,"spread":0.0254579310284247,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04173269,0.001268197,0.002381027,0.005834048,0.001357216,0.006869254,0.002648693,0.004257919,0.00406119],"category_scores_gemma":[0.06074915,0.0006737731,0.002000016,0.004271255,0.01066184,0.007406302,0.003187232,0.00839312,0.000713745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004557243,"about_ca_system_score_gemma":0.005500962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005974425,"about_ca_topic_score_gemma":0.004613451,"domain_scores_codex":[0.9698181,0.02629079,0.0006356841,0.0008560172,0.001968817,0.0004306448],"domain_scores_gemma":[0.9513632,0.04348995,0.001214672,0.001629247,0.001750288,0.0005526797],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001311045,0.00002133458,0.0002290405,0.0001032498,0.00004069968,0.00004196673,0.00009565835,0.006036349,0.00003253671,0.9803337,0.002747258,0.01030506],"study_design_scores_gemma":[0.00002048762,0.00002322701,0.0002079092,0.0001687018,0.00002152041,0.00003396881,0.00007126971,0.01118406,0.00002991588,0.9756916,0.01252687,0.00002037041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002682134,0.02633555,0.8739204,0.07847387,0.001244222,0.0002343094,0.0003248135,0.0001139412,0.01667074],"genre_scores_gemma":[0.2752165,0.04384954,0.6460599,0.01746072,0.006573343,0.001941054,0.0002389876,0.0002556911,0.008404259],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9582673,"threshold_uncertainty_score":0.2207062,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110542139","doi":"10.1002/hec.584","title":"The death of cost‐minimization analysis?","year":2001,"lang":"en","type":"review","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":438,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University; St. Joseph's Hospital","funders":"Medical Research Council; Medical Research Council Canada; McMaster University","keywords":"Cost-minimization analysis; Minification; Cost analysis; Cost–utility analysis; Cost–benefit analysis; Presentation (obstetrics); Cost-effectiveness analysis; Cost estimate; Computer science; Econometrics; Economics; Actuarial science; Operations research; Cost effectiveness; Operations management; Medicine; Mathematics; Surgery","authors":[{"name":"Andrew Briggs","is_ca":true},{"name":"Bernie J. OʼBrien","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6519246336600969,"gpt":0.5319356387483761,"spread":0.1199889949117208,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04738025,0.00113881,0.003289826,0.003485318,0.0006480468,0.005252462,0.002541297,0.005428437,0.004949038],"category_scores_gemma":[0.1058649,0.000657763,0.001637643,0.004175765,0.007972099,0.01240901,0.001967277,0.009793083,0.002130428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004689479,"about_ca_system_score_gemma":0.004185711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002915977,"about_ca_topic_score_gemma":0.002258434,"domain_scores_codex":[0.9666116,0.02447871,0.001498562,0.001353837,0.005626339,0.0004310478],"domain_scores_gemma":[0.9335123,0.05493053,0.00226933,0.002551754,0.006245109,0.0004910344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009470736,0.00003999628,0.0002338956,0.002411977,0.0002585953,0.00005997034,0.0002375532,0.001335677,0.00006342315,0.607559,0.06843419,0.319271],"study_design_scores_gemma":[0.000105993,0.00005759448,0.0003988612,0.005511185,0.00008916708,0.0002854691,0.0003061235,0.001969157,0.0001485426,0.7309268,0.2601552,0.00004589639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007870594,0.6429312,0.04994245,0.2824462,0.004937781,0.00008807887,0.000115055,0.00007618761,0.01867597],"genre_scores_gemma":[0.08486633,0.6736134,0.07212552,0.1339318,0.02378014,0.001033376,0.0001353936,0.0002647548,0.01024947],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04738025,"threshold_uncertainty_score":0.2505738,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2069086045","doi":"10.1002/hec.843","title":"Regression methods for covariate adjustment and subgroup analysis for non‐censored cost‐effectiveness data","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":372,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; McMaster Children's Hospital; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Covariate; Regression analysis; Ordinary least squares; Regression; Cost-effectiveness analysis; Econometrics; Statistics; Cost effectiveness; Meta-regression; Computer science; Medicine; Mathematics; Meta-analysis","authors":[{"name":"Andrew R. Willan","is_ca":true},{"name":"Andrew Briggs","is_ca":false},{"name":"Jeffrey S. Hoch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6139149645569404,"gpt":0.5587856556115336,"spread":0.0551293089454068,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05518407,0.002312379,0.003857549,0.005751591,0.0007617101,0.001711984,0.004476367,0.002403356,0.01059547],"category_scores_gemma":[0.1620769,0.001310983,0.005863434,0.00696811,0.001085358,0.002670171,0.002277966,0.005011421,0.003638271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057207,"about_ca_system_score_gemma":0.002203816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003501748,"about_ca_topic_score_gemma":0.002613806,"domain_scores_codex":[0.9544312,0.03807543,0.001696951,0.002853119,0.002467454,0.0004757822],"domain_scores_gemma":[0.9200208,0.06384388,0.003926615,0.009562669,0.002375835,0.0002702817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000888689,0.0003494302,0.01250463,0.002105166,0.006802352,0.0006377385,0.0006077694,0.07610017,0.00221429,0.1815017,0.02855829,0.6877298],"study_design_scores_gemma":[0.0007630818,0.0005227422,0.009886165,0.000466864,0.001592783,0.0006285662,0.0001442105,0.4685012,0.002182358,0.464625,0.05041467,0.0002723674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009717495,0.0007511228,0.9964742,0.0002905019,0.0001205162,0.0002664549,0.0003751111,0.0004903388,0.0002599174],"genre_scores_gemma":[0.06082419,0.002137546,0.9246756,0.0005366798,0.000684072,0.004463933,0.00247805,0.000921316,0.003278572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05518407,"threshold_uncertainty_score":0.2918447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122955043","doi":"10.1002/hec.3141","title":"The Causal Effect of Education on Health: What is the Role of Health Behaviors?","year":2015,"lang":"en","type":"article","venue":"Health Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":327,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Endogeneity; Instrumental variable; Quarter (Canadian coin); Panel data; Index (typography); Demographic economics; Economics; Psychology; Body mass index; Health education; Econometrics; Medicine; Environmental health; Economic growth; Geography; Health care","authors":[{"name":"Giorgio Brunello","is_ca":false},{"name":"Margherita Fort","is_ca":false},{"name":"Nicole Schneeweis","is_ca":false},{"name":"Rudolf Winter‐Ebmer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08989980791384061,"gpt":0.4280567136693175,"spread":0.3381569057554769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006732278,0.0007567901,0.001460974,0.002554509,0.0008738242,0.002713379,0.001543129,0.002467638,0.01092299],"category_scores_gemma":[0.04040591,0.0004620538,0.001948205,0.002641481,0.003827246,0.003973628,0.002061403,0.002035604,0.0004832331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059417,"about_ca_system_score_gemma":0.003163005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846149,"about_ca_topic_score_gemma":0.009477245,"domain_scores_codex":[0.9970797,0.001647093,0.0001171294,0.000402598,0.0003189118,0.0004346488],"domain_scores_gemma":[0.9458805,0.04566065,0.0041261,0.002098039,0.001171265,0.001063448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003805224,0.0007698174,0.6790993,0.001333889,0.002202243,0.0008439324,0.00185981,0.006838833,0.0005018254,0.2102813,0.002973763,0.09291469],"study_design_scores_gemma":[0.0003759463,0.0006352988,0.5288199,0.002236255,0.00497971,0.0006610679,0.004408414,0.02649259,0.001672626,0.4007011,0.02887058,0.0001465599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6777942,0.07307191,0.05535039,0.1572002,0.001496703,0.0003908639,0.003452285,0.0001645325,0.03107882],"genre_scores_gemma":[0.9738426,0.01695534,0.002932436,0.002330384,0.001069656,0.0001036717,0.0003958575,0.00002256847,0.002347525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01846149,"threshold_uncertainty_score":0.03670806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072141017","doi":"10.1002/hec.1165","title":"Health expenditure growth: reassessing the threat of ageing","year":2006,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":256,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Microdata (statistics); Population ageing; Health care; Economics; Microsimulation; Demographic economics; Ageing; Demographic change; Public economics; Population; Medicine; Environmental health; Economic growth","authors":[{"name":"Brigitte Dormont","is_ca":false},{"name":"Michel Grignon","is_ca":true},{"name":"Hélène Huber","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05618127939145399,"gpt":0.4204332966141122,"spread":0.3642520172226582,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003431081,0.0003341903,0.0003932178,0.001022444,0.0003436147,0.00156692,0.0002848034,0.0009876945,0.001707098],"category_scores_gemma":[0.01682701,0.00009130704,0.0004178346,0.00129135,0.001283552,0.002171724,0.001162108,0.001003429,0.0002519519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008341789,"about_ca_system_score_gemma":0.0005350671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007653388,"about_ca_topic_score_gemma":0.006023173,"domain_scores_codex":[0.9990839,0.0003869662,0.00004826951,0.00008886847,0.0002121699,0.0001799862],"domain_scores_gemma":[0.9901574,0.004545682,0.003217131,0.0006682732,0.0009299364,0.0004816091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000549447,0.00008153327,0.8555378,0.0001681592,0.000228375,0.00082191,0.001818228,0.01925867,0.001502843,0.02427089,0.003474908,0.09228724],"study_design_scores_gemma":[0.00001894527,0.0003695391,0.9520512,0.00007563092,0.00006813963,0.0004869444,0.00214477,0.01506437,0.0008889283,0.01500545,0.01379086,0.00003512937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673551,0.004080122,0.002736151,0.01544995,0.000103497,0.00001434982,0.0006439756,0.00004191074,0.009575079],"genre_scores_gemma":[0.9971823,0.0009125693,0.0003432472,0.0004468284,0.0001687052,0.000003294294,0.0001879725,0.00001028494,0.0007448344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007653388,"threshold_uncertainty_score":0.0181455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1911699638","doi":"10.1002/hec.2900","title":"PHYSICAL ACTIVITY AND HEALTH OUTCOMES: EVIDENCE FROM CANADA","year":2013,"lang":"en","type":"article","venue":"Health Economics","topic":"Physical Activity and Health","field":"Medicine","cited_by":256,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Wilfrid Laurier University; University of Alberta","funders":"","keywords":"Bivariate analysis; Environmental health; Medicine; Multivariate probit model; Physical activity; Community health; Social determinants of health; Gerontology; Public health; Physical therapy; Economics; Econometrics; Statistics; Nursing","authors":[{"name":"Brad R. Humphreys","is_ca":true},{"name":"Logan McLeod","is_ca":true},{"name":"Jane E. Ruseski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1175639624564052,"gpt":0.3673050505220356,"spread":0.2497410880656304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004995944,0.0007173718,0.001064245,0.002918811,0.001448645,0.00225986,0.001591541,0.0006820756,0.006434074],"category_scores_gemma":[0.01983297,0.0004453989,0.00174116,0.0093502,0.001169297,0.0005065877,0.001445328,0.001275187,0.000495926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02893569,"about_ca_system_score_gemma":0.04867869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934957,"about_ca_topic_score_gemma":0.9938589,"domain_scores_codex":[0.9966623,0.0009504205,0.0002691375,0.0003342674,0.001376263,0.000407696],"domain_scores_gemma":[0.985893,0.006008885,0.002151615,0.0007169801,0.004421066,0.000808641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001241103,0.0003016389,0.8455774,0.005050979,0.003128771,0.0003520347,0.0006971992,0.009377319,0.0001153717,0.004776639,0.01725134,0.1121303],"study_design_scores_gemma":[0.0002843713,0.0001508051,0.9661583,0.002858465,0.003330213,0.0001359793,0.0006271704,0.005284128,0.000165669,0.001298753,0.0196317,0.00007440715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5094473,0.3370706,0.003663879,0.02164351,0.0005019984,0.0003877709,0.059803,0.000202771,0.0672792],"genre_scores_gemma":[0.8872784,0.09916351,0.001465465,0.001113933,0.000100732,0.00007300745,0.007908395,0.00004725863,0.002849373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02893569,"threshold_uncertainty_score":0.2099441,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153025271","doi":"10.1002/hec.1633","title":"Ghana's national health insurance scheme in the context of the health MDGs: an empirical evaluation using propensity score matching","year":2010,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":234,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Global Development Network; Bill and Melinda Gates Foundation","keywords":"Propensity score matching; Context (archaeology); Medicine; Government (linguistics); Health care; National Health Interview Survey; Millennium Development Goals; National health insurance; Actuarial science; Economic growth; Environmental health; Business; Developing country; Economics; Geography; Population; Surgery","authors":[{"name":"Joseph Mensah","is_ca":true},{"name":"Joseph R. Oppong","is_ca":false},{"name":"Christoph Μ. Schmidt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2666582762447219,"gpt":0.3808165420140251,"spread":0.1141582657693032,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07260887,0.0006670528,0.001269913,0.001754127,0.001001128,0.001398873,0.001463957,0.001131206,0.007435911],"category_scores_gemma":[0.1494353,0.0003399485,0.00163055,0.004408192,0.001631542,0.00185737,0.002012488,0.001403073,0.0003666009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329585,"about_ca_system_score_gemma":0.002527097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02694915,"about_ca_topic_score_gemma":0.01136613,"domain_scores_codex":[0.9593116,0.03701433,0.0008588586,0.0009232442,0.001164811,0.0007271237],"domain_scores_gemma":[0.7852005,0.1812717,0.02261146,0.005880464,0.002679151,0.002356844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009714135,0.002003903,0.9004905,0.0006094652,0.002271764,0.0005246493,0.0007511396,0.02198956,0.00007495917,0.009114831,0.003469826,0.0489853],"study_design_scores_gemma":[0.006100902,0.008998788,0.7505938,0.0008485179,0.004956312,0.0007717229,0.006250201,0.2018918,0.0005700699,0.008681567,0.01022702,0.0001093108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845375,0.002353491,0.006973483,0.001824216,0.00009134304,0.0007096772,0.00124527,0.00004620717,0.002218847],"genre_scores_gemma":[0.9959217,0.0004521829,0.002255025,0.0001204109,0.00004637777,0.0001853107,0.0006586325,0.000008123612,0.0003521036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07260887,"threshold_uncertainty_score":0.383997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2155355043","doi":"10.1002/hec.1612","title":"Discounting and decision making in the economic evaluation of health-care technologies","year":2010,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":210,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Discounting; Consumption (sociology); Economics; Time preference; Health care; Value (mathematics); Cost–benefit analysis; Social discount rate; Actuarial science; Economic evaluation; Health economics; Microeconomics; Present value; Public economics; Mathematics; Statistics; Economic growth","authors":[{"name":"Karl Claxton","is_ca":false},{"name":"Mike Paulden","is_ca":false},{"name":"Hugh Gravelle","is_ca":false},{"name":"Werner Brouwer","is_ca":false},{"name":"Anthony J. Culyer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3180931037658298,"gpt":0.4851769241554634,"spread":0.1670838203896337,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.070232,0.002303263,0.002469635,0.00270771,0.001612168,0.009019073,0.002177996,0.004582663,0.004092183],"category_scores_gemma":[0.2143296,0.001281589,0.002309934,0.003535856,0.01402874,0.02154584,0.003849308,0.008779433,0.0004402616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008621627,"about_ca_system_score_gemma":0.003027522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005417031,"about_ca_topic_score_gemma":0.004250292,"domain_scores_codex":[0.9509119,0.03975286,0.002120008,0.002320963,0.003623663,0.001270585],"domain_scores_gemma":[0.7937159,0.1905073,0.007248575,0.004220028,0.003319116,0.0009890164],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001048001,0.00001674036,0.0008053611,0.0001768126,0.00008193409,0.0001062824,0.0004452123,0.02244617,0.00006245826,0.9616605,0.0005756284,0.01351802],"study_design_scores_gemma":[0.00002150015,0.0000237227,0.0002733949,0.0001662532,0.00004933441,0.00005441026,0.0001223199,0.02000368,0.00008913802,0.9768075,0.002357801,0.00003093534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06636387,0.05105048,0.7670853,0.03669231,0.001634042,0.0004184088,0.0003830653,0.0001050535,0.07626747],"genre_scores_gemma":[0.8417692,0.02155912,0.1284866,0.001792293,0.001233445,0.0003285297,0.0001103235,0.00009356036,0.004626863],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.929768,"threshold_uncertainty_score":0.3714268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1956707416","doi":"10.1002/hec.1161","title":"Expected value of information and decision making in HTA","year":2006,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":189,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"SickKids Foundation; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Value of information; Actuarial science; Value (mathematics); Intervention (counseling); Cost–benefit analysis; Optimal decision; Economics; Risk analysis (engineering); Operations management; Computer science; Medicine; Decision tree","authors":[{"name":"Simon Eckermann","is_ca":false},{"name":"Andrew R. Willan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1834432975456794,"gpt":0.414317826975785,"spread":0.2308745294301056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06613658,0.001375359,0.003519387,0.002629371,0.000857191,0.006330214,0.002353766,0.004873611,0.007703119],"category_scores_gemma":[0.2293865,0.001029581,0.001617414,0.002003678,0.006727296,0.009694856,0.002722768,0.005612607,0.0004550712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008280909,"about_ca_system_score_gemma":0.004495103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012847,"about_ca_topic_score_gemma":0.001263567,"domain_scores_codex":[0.9350679,0.05292572,0.001923499,0.002869548,0.004481073,0.002732301],"domain_scores_gemma":[0.5964847,0.3818708,0.009719925,0.005862519,0.00375383,0.002308145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001925964,0.0003847059,0.008246597,0.0005028274,0.0007145266,0.0004747567,0.0005272874,0.2782395,0.0003559096,0.6405801,0.002488297,0.06555954],"study_design_scores_gemma":[0.0002361907,0.0003373694,0.001957679,0.000170416,0.0001260595,0.0001273806,0.0001600834,0.1666605,0.0003058742,0.8285717,0.001284858,0.0000618264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2755387,0.007851696,0.6152549,0.0256701,0.0005254752,0.001696781,0.001335768,0.0002555078,0.07187096],"genre_scores_gemma":[0.9615803,0.001266337,0.0323951,0.00089078,0.0002299949,0.0005153352,0.0001958744,0.00004182177,0.002884503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06613658,"threshold_uncertainty_score":0.3497678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982797147","doi":"10.1002/hec.1554","title":"The possible macroeconomic impact on the UK of an influenza pandemic","year":2009,"lang":"en","type":"article","venue":"Health Economics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":187,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"European Commission","keywords":"Pandemic; Economic impact analysis; Influenza pandemic; Quarter (Canadian coin); Population; Economics; Consumption (sociology); Development economics; Pandemic influenza; Coronavirus disease 2019 (COVID-19); Disease; Demography; Demographic economics; Geography; Economic growth; Medicine; Environmental health; Infectious disease (medical specialty)","authors":[{"name":"Marcus Keogh-Brown","is_ca":false},{"name":"Simon Wren‐Lewis","is_ca":false},{"name":"W. John Edmunds","is_ca":false},{"name":"Philippe Beutels","is_ca":false},{"name":"Richard Smith","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3012998289703689,"gpt":0.486201587666036,"spread":0.1849017586956671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001304388,0.0004397276,0.0005546734,0.0005848252,0.0004192954,0.002022911,0.000310836,0.001155904,0.004663093],"category_scores_gemma":[0.00914392,0.0003680735,0.0006175726,0.0007403127,0.0005437933,0.001585705,0.001535446,0.0007387287,0.0004414096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003803593,"about_ca_system_score_gemma":0.001158137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1203421,"about_ca_topic_score_gemma":0.07164703,"domain_scores_codex":[0.9989801,0.0005820825,0.00005198554,0.00006228485,0.000103466,0.000219943],"domain_scores_gemma":[0.9981385,0.0009518814,0.0002889967,0.0001233993,0.0003604026,0.0001366778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002430623,0.0001521418,0.09575654,0.0004900206,0.0003510417,0.00378386,0.000671714,0.8109102,0.00336148,0.04214463,0.01695917,0.02298855],"study_design_scores_gemma":[0.0006658765,0.001575594,0.3515797,0.000652406,0.0004290408,0.001201202,0.004860951,0.5343654,0.002444427,0.06607894,0.03567915,0.0004673674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328197,0.002170351,0.003118495,0.01106295,0.000384346,0.00006995403,0.005632818,0.00008988599,0.04465156],"genre_scores_gemma":[0.9966087,0.0006203949,0.0002774322,0.0003641176,0.00001987492,0.00001734272,0.0005678837,0.000008599209,0.001515675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1203421,"threshold_uncertainty_score":0.2392833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088126323","doi":"10.1002/hec.822","title":"Overall versus socioeconomic health inequality: a measurement framework and two empirical illustrations","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":171,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"World Bank Group","keywords":"Socioeconomic status; Inequality; Vietnamese; Health equity; Demographic economics; Econometrics; Economics; Demography; Sociology; Economic growth; Mathematics; Health care; Population","authors":[{"name":"Adam Wagstaff","is_ca":false},{"name":"Eddy van Doorslaer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2968649354416818,"gpt":0.5146879132088215,"spread":0.2178229777671397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01624926,0.001132018,0.001267184,0.01052047,0.00190427,0.005720257,0.001923203,0.002852597,0.006741671],"category_scores_gemma":[0.05159236,0.0005744603,0.001185732,0.01121967,0.01517372,0.01120168,0.007973887,0.003368889,0.0002964813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003744188,"about_ca_system_score_gemma":0.001661023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004532819,"about_ca_topic_score_gemma":0.00358132,"domain_scores_codex":[0.9852925,0.01118767,0.0005737494,0.000570849,0.001774633,0.0006005509],"domain_scores_gemma":[0.9590306,0.03516379,0.002486275,0.001314148,0.00144958,0.0005556596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002893052,0.00007423771,0.01235623,0.0002135691,0.0000311536,0.0001228885,0.002914883,0.001661806,0.00009603647,0.9618067,0.001534159,0.01915951],"study_design_scores_gemma":[0.00004042111,0.0002104048,0.04814586,0.001298711,0.00007110604,0.0006739846,0.01052967,0.01786459,0.0002958858,0.9072107,0.01356132,0.00009729988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2875462,0.02808269,0.4447557,0.06859423,0.0007485665,0.001511986,0.002775213,0.0002556735,0.1657297],"genre_scores_gemma":[0.9216834,0.005469113,0.06685358,0.001304098,0.0005345927,0.002028386,0.0004909312,0.00004178889,0.001594078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01624926,"threshold_uncertainty_score":0.08593529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2089304834","doi":"10.1002/hec.845","title":"Using stated preference and revealed preference modeling to evaluate prescribing decisions","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":160,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"National Institute on Alcohol Abuse and Alcoholism","keywords":"Preference; Revealed preference; Medical prescription; Perception; Estimation; Actuarial science; Time preference; Medicine; Econometrics; Psychology; Economics; Microeconomics; Nursing","authors":[{"name":"Tami L. Mark","is_ca":false},{"name":"Joffre Swait́","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6093007403879975,"gpt":0.3239656517727161,"spread":0.2853350886152815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04444069,0.002182038,0.00237564,0.003252892,0.0005761256,0.004026815,0.002090989,0.002227896,0.004847344],"category_scores_gemma":[0.1219706,0.0009738647,0.004034476,0.00389542,0.001417879,0.00434517,0.001683851,0.002843888,0.0006839432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003357421,"about_ca_system_score_gemma":0.002070546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006221398,"about_ca_topic_score_gemma":0.006962638,"domain_scores_codex":[0.9273431,0.06611975,0.001600009,0.001225009,0.0028981,0.0008141266],"domain_scores_gemma":[0.8017347,0.1779569,0.009691492,0.005184112,0.004554461,0.000878198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003792268,0.000873691,0.04163657,0.0007099488,0.002930769,0.0003212404,0.0009642668,0.7892137,0.0006597497,0.07707503,0.001553093,0.08026973],"study_design_scores_gemma":[0.00015925,0.0007059044,0.002689287,0.00004638812,0.0001335316,0.00004561671,0.0001714325,0.9625742,0.0002605365,0.03279301,0.0003488287,0.00007206829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3797729,0.0007948104,0.6094497,0.001457228,0.0001323163,0.0008181219,0.001712604,0.0002388933,0.005623242],"genre_scores_gemma":[0.9227449,0.0003683252,0.07463104,0.0001376054,0.00004891802,0.0006310545,0.0007285018,0.00001793922,0.000691752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04444069,"threshold_uncertainty_score":0.2350277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034264904","doi":"10.1002/1099-1050(200006)9:4<295::aid-hec520>3.0.co;2-d","title":"Willingness to pay for improved respiratory and cardiovascular health: a multiple-format, stated-preference approach","year":2000,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":156,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Public Works and Government Services Canada; Government of Canada","keywords":"Willingness to pay; Preference; Index (typography); Econometrics; Preference elicitation; EQ-5D; Health economics; Actuarial science; Psychological intervention; Revealed preference; Quality-adjusted life year; Marginal utility; Medicine; Health care; Statistics; Economics; Computer science; Mathematics; Cost effectiveness; Microeconomics","authors":[{"name":"F. Reed Johnson","is_ca":false},{"name":"Melissa Ruby Banzhaf","is_ca":false},{"name":"William H. Desvousges","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1933519188824533,"gpt":0.2484967668118248,"spread":0.05514484792937149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02613649,0.002008404,0.002049311,0.003000194,0.0005527515,0.003563063,0.003204804,0.002082793,0.008692175],"category_scores_gemma":[0.05266383,0.0009212194,0.003406373,0.00398375,0.001036773,0.004031258,0.001441682,0.002263428,0.0009491633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002603886,"about_ca_system_score_gemma":0.001211595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762996,"about_ca_topic_score_gemma":0.001485596,"domain_scores_codex":[0.9566166,0.03822672,0.001068313,0.001176501,0.002392659,0.0005192294],"domain_scores_gemma":[0.9572476,0.03670376,0.001976431,0.002041932,0.001720808,0.0003093603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.005547725,0.005973289,0.06448186,0.004242581,0.005069794,0.001542242,0.00419206,0.3495995,0.005375506,0.2128533,0.006960991,0.3341611],"study_design_scores_gemma":[0.0005135981,0.002472558,0.01384529,0.0002017124,0.0005777513,0.000442949,0.001696471,0.8532398,0.002077697,0.121178,0.003447954,0.0003062333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2574962,0.0006591303,0.7241617,0.001230754,0.0001729366,0.003377788,0.002851265,0.0001881994,0.009861926],"genre_scores_gemma":[0.8233222,0.0004160328,0.1687477,0.0003432218,0.0000829009,0.003611756,0.001425081,0.00002604541,0.002025044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02613649,"threshold_uncertainty_score":0.1382246,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122180299","doi":"10.1002/hec.1616","title":"Cumulative effects of job characteristics on health","year":2010,"lang":"en","type":"article","venue":"Health Economics","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"National Institute on Alcohol Abuse and Alcoholism; National Institute on Aging; National Institutes of Health","keywords":"Merge (version control); Psychology; Physical hazard; Environmental health; Sample (material); Occupational safety and health; Demographic economics; Physical health; Gerontology; Medicine; Economics; Computer science; Mental health","authors":[{"name":"Jason M. Fletcher","is_ca":false},{"name":"Jody L. Sindelar","is_ca":false},{"name":"Shintaro Yamaguchi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02698624384602085,"gpt":0.3875723081572754,"spread":0.3605860643112546,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001864885,0.0002824811,0.0004772889,0.001320865,0.0005295842,0.0009228179,0.0005280549,0.000667875,0.00628364],"category_scores_gemma":[0.0075803,0.0002555394,0.0009317554,0.001132286,0.0004951854,0.0005617571,0.001685969,0.0008284157,0.0005722083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140245,"about_ca_system_score_gemma":0.0004880558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007440019,"about_ca_topic_score_gemma":0.01144227,"domain_scores_codex":[0.9986339,0.000355993,0.00009995713,0.0002400444,0.000289775,0.0003802992],"domain_scores_gemma":[0.9866403,0.005862113,0.003810248,0.00137754,0.0005754257,0.001734548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001120605,0.0001002016,0.9925094,0.00001895583,0.0002019708,0.00007244765,0.0001276036,0.0007846992,0.0002310372,0.0001743329,0.00008901683,0.005578336],"study_design_scores_gemma":[0.000001770013,0.000125766,0.9990197,0.000004857347,0.00002997304,0.00002354806,0.0001008935,0.0003793466,0.00004735381,0.0001407457,0.0001220169,0.000004016687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963452,0.0005546762,0.000845082,0.0001652646,0.00002183584,0.00001961416,0.0008645724,0.00001464627,0.001169093],"genre_scores_gemma":[0.9984342,0.0001634108,0.000191651,0.00002307445,0.0000211841,0.00001013154,0.0003986869,0.000002225347,0.0007553532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007440019,"threshold_uncertainty_score":0.02102089,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081358238","doi":"10.1002/hec.655","title":"Is there a kink in consumers' threshold value for cost‐effectiveness in health care?","year":2002,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; St. Joseph's Hospital","funders":"","keywords":"Willingness to pay; Willingness to accept; Economics; Value (mathematics); Health care; Cost effectiveness; Actuarial science; Cost–benefit analysis; Medicine; Econometrics; Statistics; Microeconomics; Mathematics; Operations management; Ecology","authors":[{"name":"Bernie J. OʼBrien","is_ca":true},{"name":"К. А. Герцен","is_ca":false},{"name":"Andrew R. Willan","is_ca":true},{"name":"Ash Faulkner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4378286810227996,"gpt":0.4614771073396045,"spread":0.0236484263168048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1358072,0.0004372977,0.001648207,0.005877594,0.0006779744,0.007550664,0.002816726,0.003433464,0.00389194],"category_scores_gemma":[0.2966054,0.0006293137,0.002231289,0.004218846,0.006869468,0.009160819,0.002839875,0.004709537,0.0003252017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004913951,"about_ca_system_score_gemma":0.001788214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446592,"about_ca_topic_score_gemma":0.001330001,"domain_scores_codex":[0.9181402,0.0420012,0.01288482,0.005848829,0.01971192,0.001413186],"domain_scores_gemma":[0.5270339,0.4200537,0.03001471,0.007196835,0.01458692,0.001113931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002874316,0.0002918108,0.166306,0.02172658,0.007052946,0.000779413,0.01121083,0.003204141,0.002774459,0.1329719,0.01008226,0.6407253],"study_design_scores_gemma":[0.0006251701,0.002605696,0.3367497,0.03219588,0.00574064,0.005237361,0.02004585,0.007919998,0.005292269,0.5265312,0.05643622,0.0006199554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4281436,0.3006991,0.06208539,0.1592928,0.001996231,0.0005335046,0.001116887,0.0001466211,0.04598595],"genre_scores_gemma":[0.9714597,0.00685055,0.01033607,0.01027911,0.000526521,0.0002593181,0.00009716651,0.00002691868,0.0001645259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1358072,"threshold_uncertainty_score":0.7182256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130781355","doi":"10.1002/hec.1050","title":"Schooling, cognitive ability and health","year":2005,"lang":"en","type":"article","venue":"Health Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Saskatchewan Health Quality Council; University of Calgary","funders":"","keywords":"Nexus (standard); Cognition; Demographic economics; Quarter (Canadian coin); Population health; Instrumental variable; Population; Educational attainment; Psychology; Subsidy; Economics; Gerontology; Demography; Medicine; Economic growth; Environmental health; Econometrics; Geography; Sociology","authors":[{"name":"M. Christopher Auld","is_ca":true},{"name":"Nirmal Sidhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.154108715676378,"gpt":0.4484713068114515,"spread":0.2943625911350735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007196365,0.0001604209,0.0001671848,0.001502052,0.0003637681,0.001194297,0.0001803632,0.0004111071,0.008119477],"category_scores_gemma":[0.005648343,0.00007847291,0.0003048242,0.00125291,0.001005789,0.0005578508,0.0008467122,0.0005790863,0.0004313025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000548703,"about_ca_system_score_gemma":0.0004897122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009722047,"about_ca_topic_score_gemma":0.009286578,"domain_scores_codex":[0.9996763,0.0001128856,0.00001810215,0.0000404392,0.00004972448,0.0001025767],"domain_scores_gemma":[0.994113,0.003354309,0.001686317,0.0001795627,0.0001590786,0.0005077386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000587172,0.0001309505,0.9676872,0.00006989719,0.0001819905,0.0001402152,0.0003307194,0.001085978,0.0001375507,0.01161609,0.0007598505,0.01780074],"study_design_scores_gemma":[0.000007669674,0.0000482651,0.9884241,0.0000541593,0.0000542657,0.00008961889,0.0003110541,0.0008766539,0.00009346971,0.007980823,0.002051381,0.000008484529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761207,0.003738922,0.0007699516,0.00418355,0.00003532019,0.00001044371,0.0007414448,0.00001693673,0.01438268],"genre_scores_gemma":[0.9983265,0.0006566703,0.0001104084,0.0001226029,0.00002558862,0.000002918404,0.0001027633,0.000001152686,0.0006514631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009722047,"threshold_uncertainty_score":0.02716231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003758996","doi":"10.1002/hec.1408","title":"Physical inactivity and its impact on healthcare utilization","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":132,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Health care; Health insurance; Healthcare system; Business; Medicine; Nursing; Economic growth; Economics","authors":[{"name":"Nazmi Sari","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2091447233771868,"gpt":0.5219631213215375,"spread":0.3128183979443507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001742825,0.0003275874,0.0004031117,0.001799967,0.0005738594,0.001531831,0.0006925328,0.0005872244,0.00319055],"category_scores_gemma":[0.008752616,0.0003340167,0.001386597,0.00238476,0.0007931371,0.0004803476,0.001043333,0.001050089,0.0003033653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006848242,"about_ca_system_score_gemma":0.007928721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8865238,"about_ca_topic_score_gemma":0.8516812,"domain_scores_codex":[0.9977221,0.0006484952,0.0001043563,0.0001385231,0.0007729348,0.0006136182],"domain_scores_gemma":[0.995461,0.001988634,0.0009190949,0.0002170094,0.0007970943,0.00061712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008526627,0.00005028201,0.9855207,0.00003278453,0.0002918094,0.00006767449,0.00009314432,0.007705877,0.00003779531,0.0008708039,0.000605209,0.004638801],"study_design_scores_gemma":[0.000006684465,0.00004471489,0.9858564,0.00003590565,0.00009360105,0.00005397499,0.000256711,0.01255434,0.00004829247,0.0003345698,0.0007026386,0.00001219389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835723,0.002347899,0.0007913922,0.001566446,0.00002889847,0.00003952322,0.006012505,0.00002102198,0.005620022],"genre_scores_gemma":[0.9965425,0.0009433252,0.0002408021,0.00006652675,0.00001664945,0.00001323769,0.00153599,0.000005000177,0.0006359337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8865238,"threshold_uncertainty_score":0.2282888,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158217721","doi":"10.1002/hec.1293","title":"Youth smoking, cigarette prices, and anti‐smoking sentiment","year":2007,"lang":"en","type":"article","venue":"Health Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Centers for Disease Control and Prevention","keywords":"Merge (version control); Youth smoking; Cigarette smoking; Medicine; Empirical evidence; Econometrics; Environmental health; Psychology; Tobacco control; Economics; Computer science; Public health; Internal medicine; Pathology","authors":[{"name":"Philip DeCicca","is_ca":true},{"name":"Donald Kenkel","is_ca":false},{"name":"Alan Mathios","is_ca":false},{"name":"Yoon‐Jeong Shin","is_ca":false},{"name":"Jae Young Lim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0305490165029079,"gpt":0.2317234003865926,"spread":0.2011743838836847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006069249,0.0002365737,0.000384747,0.0008008964,0.0001908951,0.001087611,0.0002831562,0.0003900121,0.003876241],"category_scores_gemma":[0.004157675,0.0002234304,0.000366103,0.001143715,0.0003204672,0.0007010825,0.0005258432,0.0008055745,0.0004203953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003858226,"about_ca_system_score_gemma":0.0002889338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005986008,"about_ca_topic_score_gemma":0.008905966,"domain_scores_codex":[0.9997374,0.00006708788,0.00002732236,0.00005352218,0.000069672,0.00004492447],"domain_scores_gemma":[0.9945158,0.001673257,0.002847871,0.0002034826,0.0003002195,0.0004593965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005322922,0.0001046914,0.9932274,0.00002111748,0.0001533912,0.00003289032,0.00009522022,0.0007173264,0.0003352278,0.0007914116,0.0002502654,0.004217873],"study_design_scores_gemma":[0.00000605783,0.00005408681,0.9958454,0.000007603941,0.00005177346,0.00004797797,0.00008518533,0.002247568,0.000251857,0.0007485375,0.0006464503,0.000007467785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948369,0.0002808951,0.001299739,0.000181957,0.00001669132,0.00001118407,0.001142701,0.00001266927,0.002217228],"genre_scores_gemma":[0.9974024,0.0002132701,0.0004756892,0.00003768073,0.00003777885,0.00001263903,0.001090693,0.000003505472,0.0007263985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005986008,"threshold_uncertainty_score":0.01296729,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019414957","doi":"10.1002/hec.922","title":"Public and private pharmaceutical spending as determinants of health outcomes in Canada","year":2004,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":125,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Group for Research in Decision Analysis; Université du Québec à Montréal","funders":"","keywords":"Health spending; Public spending; Public health; Business; Public economics; Economics; Medicine; Health care; Economic growth; Political science; Nursing; Health insurance; Politics","authors":[{"name":"Pierre‐Yves Crémieux","is_ca":true},{"name":"Marie‐Claude Meilleur","is_ca":true},{"name":"Pierre Ouellette","is_ca":true},{"name":"Patrick Petit","is_ca":true},{"name":"Martin Zelder","is_ca":false},{"name":"Ken Potvin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1952446729543691,"gpt":0.4794328203693112,"spread":0.2841881474149421,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279267,0.0003206273,0.0005895801,0.002140672,0.001676143,0.001718248,0.0008754256,0.0004970012,0.003542177],"category_scores_gemma":[0.007827249,0.000260599,0.0009701304,0.004036415,0.001127021,0.0004323462,0.001173448,0.0009652573,0.0001871168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04762259,"about_ca_system_score_gemma":0.05394534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972421,"about_ca_topic_score_gemma":0.997252,"domain_scores_codex":[0.9985946,0.0001668644,0.00005188333,0.000116984,0.0003751662,0.0006944197],"domain_scores_gemma":[0.9946696,0.0008956345,0.001063366,0.0001971878,0.001797857,0.001376355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002831803,0.00003928489,0.9779332,0.00005378301,0.0002660684,0.0001390489,0.0003056424,0.004103258,0.00009428559,0.002843332,0.004016707,0.009922178],"study_design_scores_gemma":[0.00003707507,0.00002293607,0.990513,0.00005107351,0.0001365908,0.00005266914,0.0005674867,0.005686244,0.00009625332,0.0006740081,0.002137101,0.00002553567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775417,0.002724243,0.0002123594,0.004666074,0.00003112865,0.00002710975,0.00714708,0.00003827056,0.007611994],"genre_scores_gemma":[0.996677,0.0006976054,0.0001007116,0.0001161294,0.000009132968,0.000005638309,0.001385658,0.000007330901,0.001000735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04762259,"threshold_uncertainty_score":0.3455277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2149767575","doi":"10.1002/hec.1051","title":"The effect of health changes and long-term health on the work activity of older Canadians","year":2005,"lang":"en","type":"article","venue":"Health Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; McMaster University","keywords":"Population health; Endogeneity; Health economics; Index (typography); Work (physics); Health indicator; Medicine; Health policy; Self-rated health; Community health; Demographic economics; Environmental health; Population; Gerontology; Public health; Economics; Econometrics; Nursing","authors":[{"name":"Doreen W. H. Au","is_ca":true},{"name":"Thomas F. Crossley","is_ca":true},{"name":"Martin Schellhorn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1435699301086835,"gpt":0.4128973292855707,"spread":0.2693273991768872,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001508726,0.0003072444,0.0003349303,0.001449878,0.001926528,0.001379015,0.000907347,0.0006526075,0.002142705],"category_scores_gemma":[0.007792834,0.0001845838,0.0007572731,0.002782275,0.0007392283,0.0004451473,0.001171774,0.0008897621,0.0001826814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01237876,"about_ca_system_score_gemma":0.01216328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875774,"about_ca_topic_score_gemma":0.9915478,"domain_scores_codex":[0.9988245,0.0001823774,0.00005621538,0.0001166969,0.0004106697,0.0004094515],"domain_scores_gemma":[0.9955159,0.001050444,0.00118917,0.0001998979,0.001166856,0.0008778076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001103755,0.0000385065,0.992129,0.00002791348,0.0001066461,0.0000464871,0.0003702664,0.0004575689,0.0000627414,0.0002518618,0.0005211427,0.005877552],"study_design_scores_gemma":[0.000002804121,0.00001238532,0.9989169,0.00001244392,0.00002323886,0.00001185478,0.0003078486,0.0003034978,0.00002085672,0.00004099827,0.0003416823,0.000005590846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921422,0.001172347,0.0001135394,0.001037755,0.00001494965,0.0000140976,0.00356349,0.000006837683,0.001934781],"genre_scores_gemma":[0.9975254,0.0004627249,0.0001204548,0.00008731024,0.00001002025,0.000004939697,0.001202826,0.000002134208,0.0005842239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242256,"threshold_uncertainty_score":0.08981454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2118406374","doi":"10.1002/hec.1629","title":"The efficiency frontier approach to economic evaluation of health‐care interventions","year":2010,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":119,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Reimbursement; Psychological intervention; Context (archaeology); Actuarial science; Economics; Public economics; Health care; Mandate; Health economics; Economic evaluation; Medicine; Microeconomics; Political science; Nursing; Economic growth","authors":[{"name":"J. Jaime","is_ca":true},{"name":"Erik Nord","is_ca":false},{"name":"Uwe Siebert","is_ca":false},{"name":"Alistair McGuire","is_ca":false},{"name":"Maurice McGregor","is_ca":true},{"name":"David Henry","is_ca":false},{"name":"Gérard de Pouvourville","is_ca":false},{"name":"Vincenzo Atella","is_ca":false},{"name":"Peter L. Kolominsky‐Rabas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4277150980093562,"gpt":0.4890930135292998,"spread":0.06137791551994359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05313172,0.003704575,0.004447016,0.008422486,0.00087976,0.006635013,0.003290694,0.003258588,0.01003775],"category_scores_gemma":[0.08450229,0.001101763,0.005339527,0.006760008,0.004591882,0.004766074,0.004376995,0.005436851,0.001033694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008394437,"about_ca_system_score_gemma":0.006192341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004610693,"about_ca_topic_score_gemma":0.001840997,"domain_scores_codex":[0.9203829,0.07168858,0.001376981,0.001496704,0.003969238,0.001085597],"domain_scores_gemma":[0.9187624,0.07319358,0.002161438,0.002784283,0.002732817,0.0003653864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001618669,0.00008739253,0.0009429622,0.00119445,0.0007576018,0.0001432519,0.0003070673,0.1464894,0.0001795244,0.8026715,0.004634127,0.04243094],"study_design_scores_gemma":[0.00008858238,0.000168138,0.00105738,0.0009243603,0.0002746713,0.0001230039,0.0002404504,0.1188367,0.0003683049,0.8583179,0.01951884,0.00008166314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004404462,0.004753591,0.954991,0.003399907,0.0002468573,0.0008116938,0.0007154304,0.0001221473,0.03055491],"genre_scores_gemma":[0.3985236,0.01258034,0.5722218,0.001124173,0.0005798293,0.005447892,0.000984443,0.0003139739,0.008223972],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05313172,"threshold_uncertainty_score":0.2809907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162787972","doi":"10.1002/hec.641","title":"Opportunity costs and uncertainty in the economic evaluation of health care interventions","year":2002,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":115,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Cost–benefit analysis; Psychological intervention; Economic evaluation; Opportunity cost; Health care; Incremental cost-effectiveness ratio; Cost effectiveness; Quality-adjusted life year; Actuarial science; Risk analysis (engineering); Economics; Health economics; Management science; Environmental economics; Computer science; Cost-effectiveness analysis; Operations research; Microeconomics; Operations management; Business; Medicine; Engineering; Nursing","authors":[{"name":"Parham Sendi","is_ca":true},{"name":"Amiram Gafni","is_ca":true},{"name":"Stephen Birch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6406501951717709,"gpt":0.4995955602373509,"spread":0.14105463493442,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0684844,0.001987925,0.003275136,0.005804285,0.001416878,0.00805872,0.002023394,0.004219783,0.00250647],"category_scores_gemma":[0.2827758,0.001135182,0.002275576,0.005550999,0.009949383,0.01243301,0.004654546,0.006877789,0.0001647404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008141696,"about_ca_system_score_gemma":0.003481908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004070493,"about_ca_topic_score_gemma":0.003209006,"domain_scores_codex":[0.895143,0.08641693,0.004105265,0.002436956,0.01032823,0.001569704],"domain_scores_gemma":[0.5751668,0.4089004,0.008807425,0.002665291,0.003598223,0.0008618014],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002550017,0.00004902792,0.002584448,0.001127339,0.0006043264,0.0002965177,0.000464667,0.1191216,0.00008423694,0.8092333,0.001872247,0.06430729],"study_design_scores_gemma":[0.00002719745,0.00004354989,0.0007504484,0.0005444054,0.0001077254,0.00007718,0.000150329,0.0292245,0.00008186338,0.9669813,0.00195874,0.00005269266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05569616,0.1309041,0.7342772,0.04399668,0.001422551,0.0004672326,0.0006252067,0.0000936862,0.03251713],"genre_scores_gemma":[0.8454153,0.04337922,0.1036045,0.002466842,0.002438834,0.0008596884,0.0001810306,0.0001041133,0.001550506],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9315156,"threshold_uncertainty_score":0.3621844,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986820232","doi":"10.1002/hec.1080","title":"Does non‐profit health insurance reduce financial burden? Evidence from the Vietnam living standards survey panel","year":2006,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":109,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Élisabeth Bruyère Hospital; University of Manitoba","funders":"","keywords":"Medical Expenditure Panel Survey; Panel data; Revenue; Health insurance; Self-insurance; Actuarial science; Business; Public economics; Demographic economics; Economics; Health care; Finance; Economic growth; Econometrics","authors":[{"name":"Ardeshir Sepehri","is_ca":true},{"name":"Sisira Sarma","is_ca":true},{"name":"Wayne Simpson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07652563316872822,"gpt":0.2951072364726026,"spread":0.2185816033038744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002248185,0.0002019963,0.0003096221,0.0006201654,0.00026849,0.0005670297,0.0005268985,0.0004716808,0.006682924],"category_scores_gemma":[0.008394195,0.0001780272,0.0005400307,0.0008703002,0.0004088549,0.0004740479,0.0005811174,0.0006052341,0.0003244551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007414611,"about_ca_system_score_gemma":0.001005058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06097838,"about_ca_topic_score_gemma":0.07062687,"domain_scores_codex":[0.9989911,0.0005717603,0.00004276188,0.0000757503,0.0001285354,0.0001902079],"domain_scores_gemma":[0.9901021,0.004376754,0.003253258,0.0003483434,0.0007619222,0.001157714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007507316,0.0005434849,0.9453555,0.0002599178,0.0007051338,0.0001729668,0.000451996,0.000705014,0.00008647281,0.001362086,0.006309125,0.04329762],"study_design_scores_gemma":[0.0001056653,0.0001537947,0.9951748,0.0001076643,0.0002105608,0.00003887241,0.0004090657,0.0003928452,0.00007483192,0.0003028642,0.003024786,0.00000432271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598693,0.008424782,0.0002478882,0.0156689,0.0001122104,0.00006017957,0.003650076,0.0000121992,0.01195433],"genre_scores_gemma":[0.9942923,0.00282878,0.00008822374,0.0006214889,0.00007282962,0.0000114909,0.001182643,0.000002445061,0.0008999088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06097838,"threshold_uncertainty_score":0.1212469,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2168625439","doi":"10.1002/hec.1510","title":"Health insurance and catastrophic illness: a report on the New Cooperative Medical System in rural China","year":2009,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":105,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre; Chinese Academy of Sciences; Ford Foundation","keywords":"Reimbursement; Christian ministry; China; Medical Expenditure Panel Survey; Health care; Actuarial science; Unit (ring theory); Limiting; Medical insurance; Service (business); Business; Medicine; Health insurance; Environmental health; Economic growth; Economics; Psychology; Political science; Marketing","authors":[{"name":"Hongmei Yi","is_ca":false},{"name":"Linxiu Zhang","is_ca":false},{"name":"Kim Singer","is_ca":false},{"name":"Scott Rozelle","is_ca":false},{"name":"Scott W. Atlas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02207934874745713,"gpt":0.261788085591825,"spread":0.2397087368443679,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001872323,0.0002403336,0.0002507613,0.002392747,0.0007282215,0.0007900986,0.0004633834,0.0003688463,0.001276455],"category_scores_gemma":[0.002888919,0.000187714,0.0002724786,0.003529954,0.0004324965,0.0005448314,0.0009259083,0.0004061952,0.00007543796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00630859,"about_ca_system_score_gemma":0.01032458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3617934,"about_ca_topic_score_gemma":0.3493656,"domain_scores_codex":[0.9990178,0.0001815633,0.00008479798,0.00006213698,0.0003438303,0.0003098242],"domain_scores_gemma":[0.9970801,0.0004506309,0.0009258377,0.0001135488,0.0006802313,0.0007495414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001032605,0.0001345843,0.9547758,0.0002094211,0.0001003452,0.0007933796,0.002676208,0.00127269,0.0005762049,0.001974297,0.007491912,0.02989194],"study_design_scores_gemma":[0.00001054776,0.00007123247,0.9893197,0.00002211569,0.00002489753,0.00009518766,0.001047094,0.0008267359,0.000164553,0.00007860329,0.008324758,0.00001462635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860232,0.002246282,0.0002166688,0.004231282,0.00003370674,0.00008400388,0.002607491,0.00001957873,0.004537745],"genre_scores_gemma":[0.9927637,0.00220562,0.0001841537,0.0003169012,0.00006299001,0.0000459324,0.001651085,0.000003489356,0.002766246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3617934,"threshold_uncertainty_score":0.719375,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2024158966","doi":"10.1002/hec.788","title":"Stratified cost‐effectiveness analysis: a framework for establishing efficient limited use criteria","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University; St. Joseph's Hospital; University of Ottawa","funders":"","keywords":"Reimbursement; Actuarial science; Health care; Cost-effectiveness analysis; Equity (law); Cost–benefit analysis; Cost effectiveness; Risk analysis (engineering); Medicine; Operations management; Business; Economics","authors":[{"name":"Doug Coyle","is_ca":true},{"name":"Martin Buxton","is_ca":false},{"name":"Bernie J. OʼBrien","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4816065249032799,"gpt":0.4832620548827253,"spread":0.001655529979445403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1882458,0.004400882,0.007217482,0.01102059,0.001163281,0.008154779,0.00547909,0.004077007,0.004031214],"category_scores_gemma":[0.326111,0.001957271,0.00565781,0.006909925,0.005548399,0.00807837,0.006336059,0.007289989,0.0006075731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007812362,"about_ca_system_score_gemma":0.01038996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004965556,"about_ca_topic_score_gemma":0.00216594,"domain_scores_codex":[0.7429113,0.2269079,0.008716672,0.003488473,0.01583545,0.002140194],"domain_scores_gemma":[0.7293532,0.2406962,0.009568382,0.0105326,0.008772334,0.001077357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003641794,0.0001399218,0.002963213,0.001102556,0.001729522,0.0003885175,0.0006393646,0.1969765,0.0003477013,0.7032727,0.004071678,0.0880042],"study_design_scores_gemma":[0.0001626926,0.000222525,0.0009370712,0.0008932437,0.0003615431,0.0001572499,0.00009673001,0.2165103,0.000422813,0.7734094,0.006732986,0.00009335763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003305092,0.00228969,0.9871968,0.001557532,0.00006780459,0.001363712,0.0002683213,0.00008561728,0.00386546],"genre_scores_gemma":[0.2077822,0.002896664,0.7785394,0.001093163,0.0003370692,0.007552081,0.0007007201,0.0001371537,0.0009616239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1882458,"threshold_uncertainty_score":0.9955509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2007706130","doi":"10.1002/hec.1493","title":"Optimal clinical trial design using value of information methods with imperfect implementation","year":2009,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SickKids Foundation; University of Toronto","funders":"","keywords":"Imperfect; Value (mathematics); Computer science; Econometrics; Economics; Statistics; Medicine; Mathematics","authors":[{"name":"Andrew R. Willan","is_ca":true},{"name":"Simon Eckermann","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6471993833895429,"gpt":0.6034291620214443,"spread":0.04377022136809861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2345318,0.00313453,0.007767662,0.004315929,0.0009020044,0.005753639,0.004107929,0.005868737,0.0045524],"category_scores_gemma":[0.3649486,0.00225107,0.003498561,0.003360772,0.005470149,0.006277718,0.004903262,0.007725256,0.0006832005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005524272,"about_ca_system_score_gemma":0.009792042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370002,"about_ca_topic_score_gemma":0.001066696,"domain_scores_codex":[0.58043,0.393539,0.007724514,0.007065826,0.009600412,0.001640213],"domain_scores_gemma":[0.5954152,0.3726286,0.01354817,0.01156573,0.005304284,0.001538013],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004804917,0.0005617244,0.002578117,0.003029267,0.002796462,0.0003126459,0.0005484141,0.2310216,0.0004711934,0.5686219,0.003006663,0.1822472],"study_design_scores_gemma":[0.003938003,0.001641048,0.000523134,0.0006581908,0.0007571258,0.00008720172,0.00005888862,0.3300375,0.0005957204,0.6580638,0.003517232,0.0001221631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004272206,0.001473777,0.9856596,0.002125164,0.0002440706,0.00409373,0.0000853406,0.0001604712,0.00188571],"genre_scores_gemma":[0.1852851,0.001767655,0.7941626,0.001332907,0.000415898,0.01572508,0.0001383693,0.00006103182,0.001111308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7654682,"threshold_uncertainty_score":0.9439586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075532062","doi":"10.1002/hec.1295","title":"Does age or life expectancy better predict health care expenditures?","year":2007,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Health Economics","funders":"National Institute on Aging","keywords":"Life expectancy; Predictive power; Health care; Censoring (clinical trials); Expectancy theory; Longevity; Gerontology; Demography; Actuarial science; Psychology; Medicine; Econometrics; Economics; Environmental health; Sociology; Population; Social psychology; Economic growth","authors":[{"name":"Baoping Shang","is_ca":false},{"name":"Dana P. Goldman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05510528327751662,"gpt":0.4373206027320131,"spread":0.3822153194544964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00279221,0.0004376284,0.0006084783,0.001159676,0.0002070094,0.0008866016,0.000501612,0.00123526,0.006755463],"category_scores_gemma":[0.01739867,0.0001662874,0.001034657,0.001000518,0.0004666334,0.001736824,0.0004817344,0.00085822,0.0009393275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827017,"about_ca_system_score_gemma":0.000394372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006019463,"about_ca_topic_score_gemma":0.006502479,"domain_scores_codex":[0.999356,0.0003384019,0.00004632143,0.00009355224,0.00005629139,0.0001094341],"domain_scores_gemma":[0.9865369,0.007745059,0.003419719,0.0007783833,0.000469826,0.001050094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008670027,0.00005436053,0.9875937,0.00002427226,0.0001842915,0.00006008194,0.00004586031,0.001472465,0.00004224648,0.0006250626,0.0005951582,0.009215705],"study_design_scores_gemma":[0.00001518732,0.0002307125,0.9792144,0.00008603265,0.0001727856,0.0003494989,0.0002437956,0.01192311,0.0001188183,0.00545098,0.00217276,0.00002183864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755114,0.003841533,0.003129451,0.007801009,0.0001557253,0.00001620236,0.001769691,0.0000483242,0.007726694],"genre_scores_gemma":[0.997116,0.0008476765,0.0003681903,0.000342648,0.0001693159,0.000002635577,0.0004806879,0.000006979273,0.0006658875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006755463,"threshold_uncertainty_score":0.02259928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981745779","doi":"10.1002/hec.630","title":"The effect of variable health insurance deductibles on the demand for physician visits","year":2001,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Canton de Genève","keywords":"Deductible; Endogeneity; Actuarial science; Health insurance; Incentive; Business; Instrumental variable; Health care; Order (exchange); Control (management); Generalized method of moments; Economics; Econometrics; Microeconomics; Finance; Panel data","authors":[{"name":"Martin Schellhorn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04476055403825971,"gpt":0.2924285637354507,"spread":0.247668009697191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003914714,0.0004751558,0.0007543619,0.001160163,0.0004986692,0.001661733,0.0008524464,0.001501361,0.00522421],"category_scores_gemma":[0.01895553,0.0003454727,0.001526449,0.001062497,0.001175554,0.0006847515,0.00116876,0.001581307,0.0004400914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002256405,"about_ca_system_score_gemma":0.001277477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01487483,"about_ca_topic_score_gemma":0.01243554,"domain_scores_codex":[0.9957495,0.002491539,0.0001738279,0.0003939846,0.0003928684,0.000798301],"domain_scores_gemma":[0.9371099,0.05046825,0.008535135,0.001502712,0.0006151459,0.001768728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00199253,0.0009288194,0.9496224,0.000130935,0.0006347098,0.000561027,0.0004468468,0.01717952,0.001872705,0.005926635,0.0009981724,0.01970583],"study_design_scores_gemma":[0.000153614,0.0008954717,0.9640538,0.00002676437,0.0005453096,0.0002264397,0.0004718383,0.02722475,0.001312704,0.003926789,0.001116649,0.00004586678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967799,0.0004573382,0.0007212081,0.0005196301,0.00002020393,0.00001782885,0.0004500976,0.00002005759,0.001013865],"genre_scores_gemma":[0.9987026,0.0001647455,0.0002560028,0.00006187226,0.00002877042,0.000007469153,0.0002280628,0.000004080357,0.0005463946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01487483,"threshold_uncertainty_score":0.02957648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124827255","doi":"10.1002/hec.1732","title":"Parental income and child health in Germany","year":2011,"lang":"en","type":"article","venue":"Health Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Science Foundation Ireland","keywords":"Demographic economics; Child health; Psychology; Economics; Medicine; Pediatrics","authors":[{"name":"Steffen Reinhold","is_ca":false},{"name":"Hendrik Jürges","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04909515021945146,"gpt":0.3333927291284811,"spread":0.2842975789090296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034656,0.0002308795,0.0002532235,0.001837767,0.0002961058,0.0009375456,0.00024154,0.0002389323,0.002069442],"category_scores_gemma":[0.003054029,0.0001629654,0.0003528652,0.003199805,0.0002477905,0.0005188512,0.0007779588,0.0003512042,0.0003005398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009280081,"about_ca_system_score_gemma":0.0004929535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04335406,"about_ca_topic_score_gemma":0.0416777,"domain_scores_codex":[0.9994143,0.000175568,0.00007390289,0.0000850025,0.00009473604,0.0001564933],"domain_scores_gemma":[0.9984111,0.0004351613,0.0007856062,0.0001064739,0.0001091833,0.0001524568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006560222,0.00003587168,0.9898446,0.00004043683,0.0001103711,0.0002148328,0.000627959,0.0004533908,0.00006275617,0.0006137453,0.001142373,0.00678813],"study_design_scores_gemma":[0.000004158249,0.00002213647,0.9980265,0.00002423433,0.00002696516,0.00006987416,0.0004328658,0.0002210047,0.00006323365,0.00006552324,0.001037448,0.000005969245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942448,0.000499745,0.0001091164,0.0001540396,0.000009212142,0.000007449278,0.003772802,0.000005345702,0.001197611],"genre_scores_gemma":[0.9956964,0.0004949027,0.0001514204,0.00003124557,0.000007893484,0.0000138194,0.003207536,0.000002200346,0.0003944115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04335406,"threshold_uncertainty_score":0.08620346,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1933932237","doi":"10.1002/hec.1142","title":"Family income, parenting styles and child behavioural–emotional outcomes","year":2006,"lang":"en","type":"article","venue":"Health Economics","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; McMaster University","funders":"Human Resources and Skills Development Canada; Canadian Institutes of Health Research","keywords":"Psychology; Style (visual arts); Association (psychology); Developmental psychology; National Longitudinal Surveys; Household income; Longitudinal data; Parenting styles; Family income; Demographic economics; Economics; Demography; Geography; Sociology; Economic growth","authors":[{"name":"Martin Dooley","is_ca":true},{"name":"Jennifer M. Stewart","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03128861424691129,"gpt":0.303872865961004,"spread":0.2725842517140927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00221082,0.0002275149,0.0002394333,0.0008849461,0.0004016401,0.0007893009,0.0002826306,0.0002662402,0.003357612],"category_scores_gemma":[0.009036884,0.000145408,0.0004377995,0.001144166,0.0004457367,0.000464957,0.0007367156,0.0005980027,0.0002485226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003063722,"about_ca_system_score_gemma":0.000251436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00588581,"about_ca_topic_score_gemma":0.01113112,"domain_scores_codex":[0.999249,0.0004443625,0.00004015811,0.00006013631,0.0001051044,0.0001012521],"domain_scores_gemma":[0.9912845,0.004060571,0.003176875,0.0004329537,0.0002800122,0.0007650666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003185194,0.00003776949,0.9976898,0.000005718209,0.00007834743,0.00003817104,0.00004746292,0.0001731011,0.00003091636,0.0001031979,0.00004073618,0.001722758],"study_design_scores_gemma":[0.000001551613,0.00002880196,0.9993474,0.000004402137,0.00001819829,0.00002965016,0.00007186806,0.0002586548,0.00002117708,0.0001325801,0.00008400505,0.000001720298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978389,0.0002727907,0.0002450427,0.0001053811,0.000005823804,0.000004242203,0.0002034725,0.000003221437,0.001321021],"genre_scores_gemma":[0.9992138,0.0001504789,0.0002053482,0.00001552044,0.00000669298,0.000005255089,0.000172732,0.000001536311,0.0002286202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00588581,"threshold_uncertainty_score":0.01170307,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034471245","doi":"10.1002/hec.1437","title":"How do physician assessments of patient preferences for colorectal cancer screening tests differ from actual preferences? A comparison in Canada and the United States using a stated‐choice survey","year":2009,"lang":"en","type":"article","venue":"Health Economics","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University; St. Joseph's Hospital","funders":"National Cancer Institute; National Institute of Mental Health","keywords":"Colonoscopy; Test (biology); Medicine; Population; Preference; Family medicine; Willingness to pay; Demography; Actuarial science; Colorectal cancer; Cancer; Environmental health; Statistics; Economics","authors":[{"name":"Deborah A. Marshall","is_ca":true},{"name":"F. Reed Johnson","is_ca":false},{"name":"Nathalie A. Kulin","is_ca":true},{"name":"Semra Özdemir","is_ca":false},{"name":"Judith M. E. Walsh","is_ca":false},{"name":"John K. Marshall","is_ca":true},{"name":"Stephanie Van Bebber","is_ca":false},{"name":"Kathryn A. Phillips","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08106130379998529,"gpt":0.3470695182605691,"spread":0.2660082144605839,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003163877,0.0001754037,0.0003026478,0.0008277296,0.0008383176,0.001109612,0.0003680126,0.0003902058,0.001571013],"category_scores_gemma":[0.01568821,0.0001311438,0.0005499573,0.002121053,0.0006949744,0.00035957,0.00041527,0.0003953957,0.0001068739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01000966,"about_ca_system_score_gemma":0.007084307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8594903,"about_ca_topic_score_gemma":0.8749911,"domain_scores_codex":[0.9975478,0.0007392681,0.0001518575,0.0001994004,0.001005824,0.0003558402],"domain_scores_gemma":[0.9925243,0.002761434,0.001385014,0.0001672378,0.002301139,0.0008607864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002891844,0.00005336507,0.9879879,0.00004096636,0.000127855,0.00005993231,0.001270091,0.0004179258,0.0000857526,0.0001852268,0.0007902662,0.008691547],"study_design_scores_gemma":[0.00002665687,0.00007562657,0.9956372,0.00003049337,0.00003492505,0.00006057093,0.002007084,0.001238994,0.00006064948,0.00007468741,0.0007318069,0.00002131136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969721,0.000293504,0.0001221334,0.0003590037,0.000005431979,0.00001939763,0.0005094115,0.000002498778,0.001716521],"genre_scores_gemma":[0.9993196,0.000130948,0.0000905843,0.00009063355,0.000001891098,0.000006474913,0.0002571137,9.023011e-7,0.0001018731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1405097,"threshold_uncertainty_score":0.2826744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158000989","doi":"10.1002/hec.789","title":"A view from the bridge: agreement between the SF‐6D utility algorithm and the Health Utilities Index","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Michael's Hospital; McMaster University; St. Joseph's Hospital","funders":"","keywords":"Statistics; SF-36; Health Utilities Index; Mathematics; Medicine; Correlation; Psychology; Health related quality of life; Internal medicine; Geometry","authors":[{"name":"Bernie J. OʼBrien","is_ca":true},{"name":"Marian A. Spath","is_ca":true},{"name":"Gordon Blackhouse","is_ca":true},{"name":"JL Severens","is_ca":false},{"name":"Paul Dorian","is_ca":true},{"name":"John Brazier","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3980763186572139,"gpt":0.4212557791661211,"spread":0.02317946050890712,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05517492,0.0003464344,0.000763396,0.001662177,0.0004734209,0.002767025,0.0007909578,0.0009953884,0.001777791],"category_scores_gemma":[0.1960658,0.0003008291,0.0007108482,0.001457489,0.001372601,0.002610897,0.002852148,0.001692014,0.0005312053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003129,"about_ca_system_score_gemma":0.0008688776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259956,"about_ca_topic_score_gemma":0.0009178668,"domain_scores_codex":[0.9567059,0.03016728,0.002543523,0.002777213,0.00713454,0.0006715854],"domain_scores_gemma":[0.8996822,0.08182464,0.005131438,0.004495353,0.008087207,0.0007792009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002921804,0.0001154123,0.6670414,0.0003203814,0.0006269091,0.0001988174,0.007577022,0.004718808,0.001434442,0.0133346,0.01036042,0.2913501],"study_design_scores_gemma":[0.0003456076,0.001349715,0.825229,0.001176856,0.0004713256,0.001667103,0.00733307,0.08987854,0.002923773,0.04946899,0.01989891,0.0002571439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8173732,0.004875575,0.1547372,0.00499704,0.000457189,0.0004515435,0.0008678669,0.0003054642,0.01593488],"genre_scores_gemma":[0.9863399,0.0001735101,0.01234311,0.000393562,0.00004008974,0.0001208327,0.0002945383,0.00004502564,0.0002495595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05517492,"threshold_uncertainty_score":0.2917963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090631888","doi":"10.1002/hec.1363","title":"The impact of using different costing methods on the results of an economic evaluation of cardiac care: microcosting vs gross‐costing approaches","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Economic and Social Research Council","keywords":"Activity-based costing; Economic evaluation; Health economics; Medicine; Total cost; Cost effectiveness; Cost–utility analysis; Operations management; Economics; Accounting; Risk analysis (engineering); Nursing; Public health","authors":[{"name":"Fiona Clement","is_ca":true},{"name":"William A. Ghali","is_ca":true},{"name":"Cam Donaldson","is_ca":false},{"name":"Braden Manns","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7372097905394921,"gpt":0.5339101534747459,"spread":0.2032996370647462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3619403,0.00301749,0.003506296,0.006916685,0.0008656625,0.006722706,0.002996112,0.002083967,0.002217456],"category_scores_gemma":[0.602937,0.001254266,0.007066314,0.008716916,0.002904389,0.004489401,0.003771738,0.004194356,0.0003047864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01001223,"about_ca_system_score_gemma":0.005443153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006073575,"about_ca_topic_score_gemma":0.006323697,"domain_scores_codex":[0.4598801,0.4568585,0.02509322,0.006589151,0.04960043,0.001978762],"domain_scores_gemma":[0.2130165,0.7177776,0.03442338,0.01514966,0.01859281,0.001040053],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02947774,0.001029628,0.1398048,0.0105138,0.03138565,0.0004133216,0.002073972,0.1232926,0.001773586,0.04742788,0.007050847,0.6057561],"study_design_scores_gemma":[0.008072731,0.01600259,0.2727968,0.02472896,0.03382963,0.001794519,0.002443601,0.4797618,0.01535033,0.1184457,0.02458529,0.002187951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4351335,0.06090186,0.4295568,0.01944685,0.002623636,0.008854025,0.003532515,0.0006533379,0.03929752],"genre_scores_gemma":[0.7915417,0.004077148,0.1976582,0.002112069,0.0004115328,0.002753856,0.00062688,0.0002440762,0.000574503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6380597,"threshold_uncertainty_score":0.7868412,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120439446","doi":"10.1002/hec.3209","title":"Population Aging and Healthcare Expenditure in Korea","year":2015,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Health Insurance Service","keywords":"Population ageing; Population; Health care; Quarter (Canadian coin); National health insurance; Gross domestic product; Demography; Demographic economics; Gerontology; Economics; Medicine; Geography; Environmental health; Economic growth","authors":[{"name":"Kyung‐Rae Hyun","is_ca":false},{"name":"Sung‐Wook Kang","is_ca":false},{"name":"Sunmi Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1303505417732599,"gpt":0.4623863003397273,"spread":0.3320357585664674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000395821,0.0001587474,0.0001528461,0.0008454396,0.0001538349,0.0006276285,0.0001308539,0.0002081443,0.002492364],"category_scores_gemma":[0.001478405,0.000109131,0.0003908294,0.001335778,0.0001853526,0.0004906111,0.0005967731,0.0003680338,0.0001317452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008490377,"about_ca_system_score_gemma":0.0007720072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853968,"about_ca_topic_score_gemma":0.0239318,"domain_scores_codex":[0.9997726,0.00006411731,0.00003030961,0.00002280425,0.00002441371,0.00008579755],"domain_scores_gemma":[0.9989884,0.0001518134,0.0005477913,0.0000292603,0.00009586172,0.0001867908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004371194,0.00006349783,0.9887345,0.00005067884,0.00008066121,0.0003565002,0.0002243268,0.001012113,0.00007576654,0.001308724,0.001033918,0.007015605],"study_design_scores_gemma":[0.000004824249,0.00003000913,0.9954939,0.00004559528,0.00004611682,0.0001722715,0.001073994,0.000975077,0.00003626758,0.0002930814,0.001822917,0.000005890867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944059,0.001235838,0.00008762102,0.00118029,0.00001557821,0.0000108415,0.0004536959,0.000003517837,0.002606894],"genre_scores_gemma":[0.9986222,0.0005663085,0.00003697422,0.0001069846,0.000009993207,0.000003475386,0.0002476818,0.000001143916,0.0004052203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01853968,"threshold_uncertainty_score":0.03686351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2082560103","doi":"10.1002/hec.698","title":"The importance of being first: evidence from Canadian generic pharmaceuticals","year":2002,"lang":"en","type":"article","venue":"Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"Health Canada","keywords":"Competitor analysis; Market share; Generic drug; Business; Drug industry; Drug approval; Industrial organization; Economics; Marketing; Public economics; Drug; Medicine; Pharmacology; Engineering","authors":[{"name":"Aidan Hollis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1884296525869112,"gpt":0.334590399991603,"spread":0.1461607474046918,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003988346,0.0004826282,0.0008419533,0.00303196,0.002689304,0.003064296,0.001424571,0.001452132,0.009664281],"category_scores_gemma":[0.04368034,0.0004205864,0.0008382063,0.007197613,0.002263589,0.001162018,0.001649018,0.001739566,0.00040933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01770211,"about_ca_system_score_gemma":0.02170926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9690133,"about_ca_topic_score_gemma":0.9727949,"domain_scores_codex":[0.9940405,0.0006451418,0.0002660002,0.000545239,0.003207524,0.001295544],"domain_scores_gemma":[0.9577726,0.01456442,0.01543514,0.001451615,0.007876648,0.002899675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001980758,0.0001874412,0.9177313,0.0009900094,0.0007519731,0.000744448,0.003481333,0.0009273362,0.0002037361,0.004779178,0.01251386,0.05570876],"study_design_scores_gemma":[0.00006490717,0.0000780466,0.9877757,0.0001900954,0.0003446886,0.0001359704,0.001611906,0.0001776137,0.0001695768,0.0002942362,0.009121489,0.00003571343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8921044,0.02818293,0.000368422,0.009854726,0.0001021809,0.0001191586,0.007863609,0.00002480088,0.06137975],"genre_scores_gemma":[0.9859673,0.009013784,0.0001166113,0.0007953112,0.00005722689,0.000009868076,0.001902299,0.00001066861,0.002126957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03098667,"threshold_uncertainty_score":0.1284385,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2253726780","doi":"10.1002/hec.3299","title":"Using Economic Evidence to Set Healthcare Priorities in Low‐Income and Lower‐Middle‐Income Countries: A Systematic Review of Methodological Frameworks","year":2016,"lang":"en","type":"review","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Health and Medical Research Council; Medical Research Council; University of Pittsburgh; World Bank Group","keywords":"Psychological intervention; EconLit; Economic evaluation; Equity (law); Health care; MEDLINE; Systematic review; Public economics; Grey literature; Medicine; Business; Actuarial science; Nursing; Economics; Economic growth; Political science","authors":[{"name":"Virginia Wiseman","is_ca":false},{"name":"Craig Mitton","is_ca":true},{"name":"Mary M. Doyle‐Waters","is_ca":true},{"name":"Tom Drake","is_ca":false},{"name":"Lesong Conteh","is_ca":false},{"name":"Anthony T. Newall","is_ca":false},{"name":"Obinna Onwujekwe","is_ca":false},{"name":"Stephen Jan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7287168937750172,"gpt":0.567326414330036,"spread":0.1613904794449812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1143657,0.002859541,0.01022566,0.03611178,0.001290418,0.009210357,0.00306035,0.0034955,0.004269787],"category_scores_gemma":[0.3197379,0.002134364,0.01074682,0.02811811,0.002819982,0.007169595,0.005221302,0.003437298,0.000414008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01326286,"about_ca_system_score_gemma":0.03189003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007815353,"about_ca_topic_score_gemma":0.02044917,"domain_scores_codex":[0.8917946,0.06273946,0.03171095,0.002555281,0.01013754,0.001062169],"domain_scores_gemma":[0.664907,0.2910111,0.0257543,0.004048042,0.01326092,0.001018578],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002543638,0.00004134397,0.001392251,0.8495409,0.01124142,0.0001056148,0.0005231448,0.0006530561,0.0000831195,0.004901764,0.001816519,0.1294464],"study_design_scores_gemma":[0.0001815383,0.00009484925,0.00167416,0.9604992,0.01770534,0.0001227651,0.0005017913,0.0002370312,0.0001724123,0.003240372,0.01552938,0.00004115071],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007060139,0.99479,0.001318238,0.00130148,0.0002180316,0.0007691301,0.0002811528,0.000009525935,0.0006064493],"genre_scores_gemma":[0.01934424,0.9707934,0.0059981,0.001074672,0.0001502775,0.002220927,0.0002782336,0.00001579047,0.0001243099],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8856343,"threshold_uncertainty_score":0.604831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2766421926","doi":"10.1002/hec.3606","title":"In search of a common currency: A comparison of seven EQ-5D-5L value sets","year":2017,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Currency; Value (mathematics); EQ-5D; Economics; Value for money; Econometrics; Statistics; Mathematics; Medicine; Internal medicine; Monetary economics; Public economics","authors":[{"name":"Jan Abel Olsen","is_ca":false},{"name":"Admassu N. Lamu","is_ca":false},{"name":"John Cairns","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5755207301548798,"gpt":0.5178520282786381,"spread":0.05766870187624173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01683935,0.0004499678,0.001204675,0.003466649,0.000380012,0.003658982,0.000845256,0.0007431414,0.001554223],"category_scores_gemma":[0.07048989,0.0002334372,0.001367317,0.005909816,0.001079766,0.00224813,0.002179633,0.000958981,0.0002274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243366,"about_ca_system_score_gemma":0.001325126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202071,"about_ca_topic_score_gemma":0.008729625,"domain_scores_codex":[0.9902208,0.006953166,0.0005795098,0.0005226311,0.001431062,0.0002928965],"domain_scores_gemma":[0.9790299,0.01603289,0.001743795,0.001360092,0.001408781,0.0004245583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0055072,0.0002934179,0.6755297,0.001488486,0.004918596,0.0005154082,0.003753207,0.05124137,0.001134802,0.05213887,0.00554783,0.1979311],"study_design_scores_gemma":[0.0007030062,0.002773796,0.7602163,0.001492612,0.001280541,0.00121565,0.01244247,0.1469999,0.001773792,0.05725291,0.01344321,0.0004058732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975643,0.002124908,0.01222023,0.0006232444,0.00005777489,0.000126586,0.001800448,0.00003437764,0.007369386],"genre_scores_gemma":[0.9926716,0.0003437529,0.005305762,0.00007930155,0.000005956766,0.00005455401,0.001371882,0.00001491185,0.0001522589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01683935,"threshold_uncertainty_score":0.08905602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1973547094","doi":"10.1002/hec.854","title":"Do economic cycles have a permanent effect on population health? Revisiting the Brenner hypothesis","year":2004,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Unemployment; Economics; Unit root; Demographic economics; Population; Per capita; Business cycle; Econometrics; Macroeconomics; Demography; Sociology","authors":[{"name":"Audrey Laporte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06187248745146142,"gpt":0.4137044268616056,"spread":0.3518319394101442,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00564562,0.0002888748,0.0008805174,0.001091875,0.0003985378,0.001663452,0.0007582277,0.001265946,0.00380168],"category_scores_gemma":[0.02561053,0.0002655982,0.001165096,0.001266233,0.003167078,0.002821373,0.001360195,0.001602567,0.0002549928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009956331,"about_ca_system_score_gemma":0.001158462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007770015,"about_ca_topic_score_gemma":0.004459307,"domain_scores_codex":[0.9985971,0.0005843684,0.00009139298,0.0003255858,0.0001623448,0.0002391595],"domain_scores_gemma":[0.9761518,0.01594136,0.004723103,0.001730617,0.0006551044,0.0007980577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001022005,0.0001776516,0.6065392,0.0004387821,0.0007084864,0.001197743,0.002585365,0.01553223,0.0007003058,0.2333084,0.006864696,0.1309251],"study_design_scores_gemma":[0.00008881131,0.000446753,0.5921682,0.0002534389,0.0003510067,0.0003941253,0.001915802,0.02203794,0.0006785689,0.3664737,0.0150871,0.0001046203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.858633,0.01918275,0.02403391,0.06434641,0.00106862,0.00007979423,0.001465886,0.0001126136,0.03107695],"genre_scores_gemma":[0.9941899,0.001978947,0.0006158319,0.001362611,0.0004692602,0.00001523161,0.0001087186,0.00001460962,0.001245025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007770015,"threshold_uncertainty_score":0.02985722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066568844","doi":"10.1002/hec.1272","title":"Equity in health and health care in a decentralised context: evidence from Canada","year":2007,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Decentralization; Equity (law); Health equity; Public economics; Health care; Health policy; Inequality; Context (archaeology); Economics; Economic growth; Business; Political science; Geography","authors":[{"name":"Dolores Jiménez‐Rubio","is_ca":false},{"name":"Peter Smith","is_ca":false},{"name":"Eddy van Doorslaer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1453351847467812,"gpt":0.4957130549303176,"spread":0.3503778701835364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004600058,0.0002640598,0.001066352,0.002279868,0.004751692,0.002245256,0.001492409,0.000599009,0.003470112],"category_scores_gemma":[0.02194433,0.0003339789,0.0006438439,0.007192375,0.003736274,0.000889312,0.00295125,0.001440351,0.0001151528],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0654027,"about_ca_system_score_gemma":0.0961238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960009,"about_ca_topic_score_gemma":0.9973854,"domain_scores_codex":[0.9947413,0.0008887008,0.0002471978,0.0004365961,0.001876373,0.0018098],"domain_scores_gemma":[0.9796918,0.004608748,0.003783284,0.001203247,0.007411893,0.003301086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001723976,0.0004385739,0.840189,0.001898328,0.0008836607,0.0008298639,0.01445857,0.003698222,0.0003495706,0.02001674,0.01110751,0.104406],"study_design_scores_gemma":[0.0002511532,0.00009752053,0.9773861,0.0009665257,0.0003153106,0.0001360501,0.007099133,0.001158596,0.0002140989,0.001414033,0.01089279,0.00006868655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652471,0.008891284,0.0003503374,0.00562522,0.00004181204,0.000129651,0.002573482,0.00001191636,0.0171292],"genre_scores_gemma":[0.9948182,0.003366479,0.000184833,0.0003989337,0.00001219415,0.00001537439,0.0005762602,0.000004560091,0.0006231741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9345973,"threshold_uncertainty_score":0.474532,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164308320","doi":"10.1002/hec.1057","title":"A microeconometric analysis of Canadian health care utilization","year":2005,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba; Élisabeth Bruyère Hospital","funders":"International Council for Canadian Studies","keywords":"Microdata (statistics); Overdispersion; Health care; Econometrics; Latent class model; Actuarial science; Computer science; Economics; Statistics; Count data; Medicine; Environmental health; Mathematics; Population","authors":[{"name":"Sisira Sarma","is_ca":true},{"name":"Wayne Simpson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1169403996183826,"gpt":0.3135562916319585,"spread":0.1966158920135759,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001839812,0.0003577145,0.0005418799,0.008926659,0.001802852,0.002370889,0.0007961626,0.000382024,0.003746129],"category_scores_gemma":[0.01252571,0.0002749216,0.000760688,0.02036721,0.0007010598,0.0007552926,0.001203419,0.0005752057,0.0002328737],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04563919,"about_ca_system_score_gemma":0.02551871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895554,"about_ca_topic_score_gemma":0.9860157,"domain_scores_codex":[0.9985127,0.0002285592,0.00008062299,0.000168966,0.0007463839,0.0002628207],"domain_scores_gemma":[0.9953617,0.001203674,0.0007390472,0.0002916009,0.002095114,0.0003089534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002243603,0.0001090779,0.5471113,0.000408307,0.0004992145,0.0003002848,0.002851366,0.07370974,0.0004878498,0.2135567,0.03881664,0.1219252],"study_design_scores_gemma":[0.00002168931,0.00002407503,0.8514302,0.0001084806,0.000095449,0.0001017535,0.00161865,0.09981531,0.0002710284,0.01343523,0.03296202,0.0001161011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865677,0.004915139,0.01535849,0.008171385,0.00006270334,0.0003015728,0.05195528,0.0002712966,0.03239641],"genre_scores_gemma":[0.9747945,0.002565431,0.006983357,0.0001617235,0.00003830938,0.00009032051,0.01154644,0.00003459803,0.003785281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9543608,"threshold_uncertainty_score":0.331137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158631078","doi":"10.1002/hec.3195","title":"The Impact of Waiting Time on Health Gains from Surgery: Evidence from a National Patient‐reported Outcome Dataset","year":2015,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for Advancing Health Outcomes; St. Paul's Hospital; University of British Columbia","funders":"Medical Research Council","keywords":"Medicine; Outcome (game theory); Knee replacement; Waiting period; Endogeneity; Varicose veins; Physical therapy; Surgery; Arthroplasty","authors":[{"name":"С. Николова","is_ca":false},{"name":"Mark Harrison","is_ca":true},{"name":"Matt Sutton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4507749425637746,"gpt":0.4093088114825968,"spread":0.0414661310811778,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0212609,0.0007361753,0.00134717,0.002988184,0.0003789365,0.001378147,0.00239768,0.001654826,0.005888836],"category_scores_gemma":[0.09209013,0.0006457733,0.004234251,0.007159442,0.0008119522,0.001541331,0.00197204,0.00208649,0.001266048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652598,"about_ca_system_score_gemma":0.001496491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02290316,"about_ca_topic_score_gemma":0.01746994,"domain_scores_codex":[0.9807135,0.01225453,0.00231763,0.001516394,0.002430118,0.0007677652],"domain_scores_gemma":[0.8161988,0.1092518,0.05824623,0.008448317,0.00536341,0.002491401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00738281,0.0009276917,0.8818785,0.004325791,0.01940955,0.0002139233,0.000209657,0.008027202,0.0000832908,0.00231998,0.04311655,0.03210516],"study_design_scores_gemma":[0.001340285,0.0007737952,0.9749693,0.001280663,0.004095973,0.0002633876,0.0002335499,0.004690164,0.0002170563,0.001438625,0.010584,0.0001133019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6216246,0.018387,0.00356842,0.007546172,0.0003768447,0.0003361595,0.3408791,0.000124861,0.007156919],"genre_scores_gemma":[0.7728078,0.005683895,0.001779294,0.001985598,0.0002270061,0.0005795173,0.2157152,0.00004251397,0.001179176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02290316,"threshold_uncertainty_score":0.1124398,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085514511","doi":"10.1002/hec.1656","title":"Using discrete choice experiments to value informal care tasks: exploring preference heterogeneity","year":2010,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Medical Research Council; Chief Scientist Office, Scottish Government Health and Social Care Directorate","keywords":"Contingent valuation; Complementarity (molecular biology); Valuation (finance); Revealed preference; Willingness to pay; Economics; Preference; Microeconomics; Value (mathematics); Value of time; Actuarial science; Preference elicitation; Discrete choice; Market value; Willingness to accept; Public economics; Opportunity cost; Compensation (psychology); Econometrics; Psychology; Social psychology; Computer science; Accounting","authors":[{"name":"Emmanouil Mentzakis","is_ca":true},{"name":"Mandy Ryan","is_ca":false},{"name":"Paul McNamee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4137531492140384,"gpt":0.3268568956353463,"spread":0.08689625357869207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04375542,0.001013868,0.001566769,0.0009240553,0.0004999261,0.00284235,0.001356596,0.001807748,0.005053053],"category_scores_gemma":[0.09643155,0.0005071512,0.00191977,0.001266505,0.001725819,0.003033774,0.001356019,0.002419418,0.0002847565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866755,"about_ca_system_score_gemma":0.0007955434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000866655,"about_ca_topic_score_gemma":0.0006951281,"domain_scores_codex":[0.9676986,0.02802082,0.001052582,0.001245524,0.001436214,0.000546236],"domain_scores_gemma":[0.6540684,0.3240064,0.01210797,0.0077795,0.001252593,0.0007850829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.05917454,0.03904946,0.146715,0.004049974,0.007391494,0.0009635472,0.01047236,0.2555686,0.02698794,0.2511677,0.001671479,0.1967879],"study_design_scores_gemma":[0.009670286,0.04174696,0.06167964,0.000337986,0.001401485,0.0002886713,0.001987229,0.5726793,0.00946611,0.2957322,0.004546227,0.0004639637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318019,0.0002160597,0.06227173,0.0002751792,0.0000712914,0.001305004,0.000361348,0.00003794897,0.003659637],"genre_scores_gemma":[0.9603531,0.0002046571,0.03507232,0.0001637563,0.0000448469,0.002860789,0.0002508684,0.00001013866,0.001039535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04375542,"threshold_uncertainty_score":0.2314035,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143697557","doi":"10.1002/hec.1428","title":"Inequity in publicly funded physician care: what is the role of private prescription drug insurance?","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University","funders":"","keywords":"Medical prescription; Equity (law); Prescription drug; Business; Health insurance; Actuarial science; Public health insurance; Health care; Public economics; Medicine; Economic growth; Economics; Political science; Pharmacology","authors":[{"name":"Sara Allin","is_ca":false},{"name":"Jeremiah Hurley","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05299084624508763,"gpt":0.261417113387652,"spread":0.2084262671425644,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002782855,0.0001695672,0.0006842307,0.001500328,0.0008768577,0.001848909,0.0005934637,0.000793509,0.00376962],"category_scores_gemma":[0.01544597,0.0001351723,0.000449285,0.001718171,0.002396775,0.002397782,0.001666919,0.001044773,0.00008251164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00505948,"about_ca_system_score_gemma":0.005019375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2718375,"about_ca_topic_score_gemma":0.2831068,"domain_scores_codex":[0.9981163,0.0004781424,0.00005649211,0.0001460884,0.0005314031,0.0006715906],"domain_scores_gemma":[0.9903916,0.004661253,0.002194618,0.0002980254,0.001142347,0.001312207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001296291,0.0001493991,0.822984,0.0001999543,0.0002506384,0.0002710446,0.002015019,0.001983289,0.0001532825,0.09607928,0.00257955,0.07320496],"study_design_scores_gemma":[0.00002389558,0.00006877553,0.913512,0.0005895855,0.0002104939,0.0002572658,0.005511488,0.006472187,0.0002720395,0.062363,0.01068664,0.00003276993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8597918,0.02343111,0.003125725,0.085325,0.0001394241,0.00003871687,0.0006179588,0.00001745301,0.02751284],"genre_scores_gemma":[0.9979365,0.001214692,0.00009640981,0.0003429672,0.00007921777,0.000002235231,0.00003852623,0.000002067949,0.0002874672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2718375,"threshold_uncertainty_score":0.5405105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2108386375","doi":"10.1002/hec.1250","title":"Does free complementary health insurance help the poor to access health care? Evidence from France","year":2007,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Plan (archaeology); Payment; Government (linguistics); Difference in differences; Health plan; Health insurance; Actuarial science; Health care; Population; Business; Medicine; Environmental health; Economic growth; Geography; Finance; Economics","authors":[{"name":"Michel Grignon","is_ca":true},{"name":"Marc Perronnin","is_ca":false},{"name":"John N. Lavis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0806342586172368,"gpt":0.3388905505021638,"spread":0.2582562918849269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008926039,0.0003541253,0.0008622622,0.001713901,0.0008063256,0.001612242,0.001120922,0.001802846,0.01168444],"category_scores_gemma":[0.0276261,0.0002267742,0.001441493,0.001533443,0.001431269,0.001192432,0.00138551,0.001078671,0.0006453542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002611769,"about_ca_system_score_gemma":0.001726909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1083135,"about_ca_topic_score_gemma":0.09929769,"domain_scores_codex":[0.9946734,0.003620218,0.0001857876,0.0002747314,0.000478597,0.0007672386],"domain_scores_gemma":[0.9477291,0.03737018,0.008648993,0.001623244,0.002602738,0.002025596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01115071,0.001927664,0.809469,0.002574488,0.004075439,0.0008795584,0.003140983,0.001763968,0.0002491669,0.01076826,0.02260779,0.1313929],"study_design_scores_gemma":[0.001563811,0.001671732,0.9559855,0.002038284,0.002236143,0.0004154217,0.003315011,0.001019815,0.0002183315,0.003214838,0.0282571,0.00006393623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716549,0.0583224,0.0003357106,0.04009518,0.0001417809,0.00006451583,0.002611929,0.00002494957,0.02674873],"genre_scores_gemma":[0.9856002,0.009403155,0.0001266746,0.00288938,0.0001548334,0.00001393026,0.0005867376,0.000006234015,0.001218853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083135,"threshold_uncertainty_score":0.2153661,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2592591598","doi":"10.1002/hec.3647","title":"<scp>2SLS</scp> versus <scp>2SRI</scp>: <scp>A</scp>ppropriate methods for rare outcomes and/or rare exposures","year":2018,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Health Economics","funders":"Office of Research on Women's Health; National Institute of Nursing Research; National Cancer Institute; National Institutes of Health","keywords":"Chemistry","authors":[{"name":"Anirban Basu","is_ca":true},{"name":"Norma B. Coe","is_ca":false},{"name":"Cole G. Chapman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1294139047605725,"gpt":0.3735568118406488,"spread":0.2441429070800762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04754708,0.001178568,0.001731428,0.00200985,0.0007252753,0.002178997,0.002395001,0.001577265,0.01011024],"category_scores_gemma":[0.1451435,0.0007541185,0.002177333,0.003475031,0.00196751,0.002411215,0.002110733,0.003255007,0.001920194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491124,"about_ca_system_score_gemma":0.003408113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007239909,"about_ca_topic_score_gemma":0.008071095,"domain_scores_codex":[0.9434974,0.04861087,0.001315443,0.002732859,0.003347894,0.0004954763],"domain_scores_gemma":[0.7942793,0.1764215,0.009222398,0.01436397,0.00519505,0.0005178516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008318686,0.0005967238,0.05529609,0.002018531,0.002911256,0.0007066423,0.0009693306,0.2443726,0.001432566,0.2744452,0.03123546,0.3851838],"study_design_scores_gemma":[0.0002988843,0.0007199839,0.01195206,0.0004465859,0.0003256954,0.0003750122,0.0004270591,0.7918319,0.002039101,0.1645937,0.02682994,0.0001601461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02853906,0.0009521359,0.9567884,0.002090095,0.0003185294,0.001100895,0.001382747,0.001147405,0.00768071],"genre_scores_gemma":[0.3906685,0.0008477967,0.5948462,0.001756083,0.0004286011,0.003373957,0.002373447,0.0006637747,0.005041589],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04754708,"threshold_uncertainty_score":0.251456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030798449","doi":"10.1002/hec.591","title":"The role of permanent income and family structure in the determination of child health in Canada","year":2001,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta; McMaster University; Dalhousie University","funders":"","keywords":"Proxy (statistics); Demographic economics; Health Utilities Index; Family income; Categorical variable; Low income; Permanent income hypothesis; Economics; Demography; Household income; Socioeconomic status; Geography; Sociology; Statistics; Economic growth; MEDLINE; Political science; Mathematics; Finance","authors":[{"name":"Lori J. Curtis","is_ca":true},{"name":"Martin Dooley","is_ca":true},{"name":"Ellen L. Lipman","is_ca":true},{"name":"David Feeny","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01640046224195169,"gpt":0.3408306724001486,"spread":0.3244302101581969,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002738579,0.0003544188,0.0007682926,0.003297416,0.004732841,0.002172014,0.002089186,0.0004993679,0.002571064],"category_scores_gemma":[0.01407761,0.0004287952,0.0009646832,0.006783372,0.001557584,0.0006219317,0.001961316,0.001141002,0.0001920736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04766291,"about_ca_system_score_gemma":0.05395758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977496,"about_ca_topic_score_gemma":0.9986944,"domain_scores_codex":[0.9974753,0.0003967343,0.000124764,0.0002996454,0.0007114354,0.0009921703],"domain_scores_gemma":[0.989057,0.002321844,0.002187089,0.0005722772,0.003005785,0.002855988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005352072,0.00001625208,0.9905256,0.00002263104,0.0001009395,0.00009477582,0.0005094194,0.0006608852,0.00002520984,0.0009831531,0.001107324,0.005900207],"study_design_scores_gemma":[0.000008250754,0.00001141591,0.9956721,0.00004147175,0.00004719477,0.00003952461,0.0007960105,0.001669367,0.00003560546,0.0003160071,0.001347359,0.00001568256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797549,0.003331757,0.0007495641,0.002514808,0.00003749104,0.00004942751,0.00814854,0.00003651152,0.005377077],"genre_scores_gemma":[0.9959512,0.0008266813,0.0004123113,0.00007364491,0.00000945378,0.00001337879,0.001652755,0.000009792313,0.001050898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04766291,"threshold_uncertainty_score":0.3458202,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2168568096","doi":"10.1002/hec.642","title":"The distribution problem in economic evaluation: income and the valuation of costs and consequences of health care programmes","year":2001,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of Calgary","funders":"","keywords":"Valuation (finance); Economics; Willingness to pay; Actuarial science; Health care; Economic evaluation; Income distribution; Health economics; Public economics; Distribution (mathematics); Microeconomics; Inequality; Mathematics; Economic growth; Finance","authors":[{"name":"Cam Donaldson","is_ca":true},{"name":"Stephen Birch","is_ca":true},{"name":"Amiram Gafni","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2430270795638097,"gpt":0.4344490566487901,"spread":0.1914219770849804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05566088,0.002207255,0.003331293,0.004935741,0.002222057,0.009375906,0.0032679,0.006448884,0.007314406],"category_scores_gemma":[0.2057156,0.0009281084,0.001702262,0.008271403,0.01834371,0.02446134,0.005862559,0.007668066,0.0005570496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008772617,"about_ca_system_score_gemma":0.003190269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004637886,"about_ca_topic_score_gemma":0.002489486,"domain_scores_codex":[0.935364,0.05667634,0.001619159,0.001704119,0.003714912,0.0009215876],"domain_scores_gemma":[0.7737052,0.2148985,0.00435663,0.002860632,0.003202316,0.0009768007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006355118,0.00003788971,0.001009965,0.0002151472,0.00008708404,0.0001504501,0.0003354213,0.0100806,0.00003217934,0.9661738,0.002112914,0.01970105],"study_design_scores_gemma":[0.00001304295,0.00001387637,0.0002446803,0.0001386922,0.00001467971,0.00005251049,0.000113391,0.007911482,0.00002614379,0.9895704,0.001887237,0.00001385084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03541543,0.07122965,0.7143361,0.09523165,0.002080605,0.0003310246,0.0005528856,0.00009412524,0.08072852],"genre_scores_gemma":[0.841413,0.03716732,0.1024352,0.003766689,0.004585339,0.001109735,0.000282752,0.0001944324,0.00904554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05566088,"threshold_uncertainty_score":0.2943664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2026528568","doi":"10.1002/hec.1041","title":"Estimating the price elasticity of expenditure for prescription drugs in the presence of non‐linear price schedules: an illustration from Quebec, Canada","year":2005,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto; McMaster University; McGill University; McMaster University Medical Centre","funders":"","keywords":"Endogeneity; Price elasticity of demand; Economics; Consumer Expenditure Survey; Econometrics; Consumption (sociology); Elasticity (physics); Relative price; Microeconomics; Public economics; Aggregate expenditure","authors":[{"name":"Paul Contoyannis","is_ca":true},{"name":"Jeremiah Hurley","is_ca":true},{"name":"Paul Grootendorst","is_ca":true},{"name":"Sung‐Hee Jeon","is_ca":true},{"name":"Robyn Tamblyn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1740057371913371,"gpt":0.3862121707392115,"spread":0.2122064335478744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002165943,0.0003929836,0.0004386803,0.0008026804,0.0009186236,0.001172157,0.001176031,0.0004648021,0.003236192],"category_scores_gemma":[0.008806163,0.0002252638,0.0007563957,0.003079926,0.0006471706,0.0003287403,0.0005803423,0.000739851,0.0001718171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01660291,"about_ca_system_score_gemma":0.0122314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934217,"about_ca_topic_score_gemma":0.9870126,"domain_scores_codex":[0.9987931,0.0005493524,0.00004331979,0.0001206958,0.0002161926,0.0002771839],"domain_scores_gemma":[0.9933352,0.004076159,0.0003868054,0.0003829949,0.001667012,0.0001516452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008158867,0.0003239372,0.477865,0.0003964126,0.0007648923,0.001279103,0.001010028,0.3716766,0.001574508,0.04124967,0.02028779,0.08275636],"study_design_scores_gemma":[0.0002389576,0.0001028347,0.4659918,0.0001153894,0.0002930534,0.0001824957,0.001385727,0.5124006,0.00133899,0.004731141,0.01310641,0.0001126455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470436,0.001266718,0.01275385,0.00211734,0.00003399133,0.0001453264,0.005087339,0.0001839093,0.03136804],"genre_scores_gemma":[0.9890639,0.0003699301,0.005101594,0.0001285398,0.000007774523,0.0000280394,0.001638978,0.00002574641,0.003635555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01660291,"threshold_uncertainty_score":0.1204632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3114333834","doi":"10.1002/hec.4208","title":"Estimating (quality‐adjusted) life‐year losses associated with deaths: With application to COVID‐19","year":2020,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Quality-adjusted life year; Comorbidity; Case fatality rate; Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Epidemiology; Years of potential life lost; Quality of life (healthcare); Demography; Disease; Gerontology; Environmental health; Cost effectiveness; Outbreak; Virology; Risk analysis (engineering); Infectious disease (medical specialty); Population; Internal medicine","authors":[{"name":"Andrew Briggs","is_ca":false},{"name":"Daniel A. Goldstein","is_ca":false},{"name":"Erin Kirwin","is_ca":true},{"name":"Rachel Meacock","is_ca":false},{"name":"Ankur Pandya","is_ca":false},{"name":"David J. Vanness","is_ca":false},{"name":"Torbjørn Wisløff","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1453669155853615,"gpt":0.4528595053586233,"spread":0.3074925897732619,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01116387,0.0006709235,0.0007447891,0.003037913,0.0002275637,0.00127105,0.0009697528,0.0007891678,0.002710501],"category_scores_gemma":[0.03884285,0.0002732766,0.001269523,0.003947799,0.0005616698,0.001163414,0.001622214,0.001145398,0.0002597519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696213,"about_ca_system_score_gemma":0.001007715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01790974,"about_ca_topic_score_gemma":0.007892791,"domain_scores_codex":[0.9966786,0.002472148,0.0001330575,0.000261218,0.000334591,0.0001204166],"domain_scores_gemma":[0.9835772,0.01324411,0.001539069,0.0006576359,0.0007932861,0.0001887489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007954778,0.0002555551,0.1823576,0.0005056845,0.001405178,0.0002285004,0.000404308,0.6684021,0.0002959156,0.01687273,0.003573504,0.1249034],"study_design_scores_gemma":[0.0001103471,0.0004709015,0.1032048,0.0002020575,0.0002207477,0.0003113274,0.000432132,0.8584553,0.000452948,0.03193937,0.004111252,0.00008885599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6110645,0.00603833,0.3592955,0.002462932,0.0002173624,0.0007798601,0.01177766,0.0003601797,0.008003597],"genre_scores_gemma":[0.9180948,0.001299094,0.07633651,0.0001454783,0.00006379221,0.0002792495,0.002884438,0.00006132614,0.0008352401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790974,"threshold_uncertainty_score":0.0590409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}