{"id":"W2953069276","doi":"10.1016/j.jhealeco.2019.102228","title":"Medical innovation, education, and labor market outcomes of cancer patients","year":2019,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"W.E. Upjohn Institute for Employment Research","keywords":"Medicine; Cancer; Prostate cancer; Breast cancer; Educational attainment; Cancer registry; Economics; Internal medicine; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612789,0.0001635698,0.0003645878,0.00118497,0.0007042791,0.00201226,0.0005901224,0.001630607,0.01155756],"category_scores_gemma":[0.0133616,0.0001857268,0.0008985744,0.001608928,0.0006007096,0.001330232,0.001046954,0.001932487,0.0009443141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137909,"about_ca_system_score_gemma":0.001591621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334723,"about_ca_topic_score_gemma":0.01418913,"domain_scores_codex":[0.9988187,0.0002925847,0.0001026197,0.00008209101,0.0001144066,0.0005895865],"domain_scores_gemma":[0.9877111,0.003537729,0.004967172,0.0002776886,0.0006171581,0.002889105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004308874,0.0005973215,0.9937841,0.00001691285,0.00008197282,0.00006968278,0.0001735727,0.0004467328,0.00005785755,0.000360761,0.0005791949,0.003401099],"study_design_scores_gemma":[0.00005694403,0.0003451124,0.9955883,0.00002611637,0.00006473536,0.00008326117,0.0009505198,0.00116601,0.0000781075,0.0009452284,0.0006774604,0.00001825398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939242,0.0006177759,0.00004233844,0.002043818,0.00002396915,0.00001178794,0.0007627489,0.000003907874,0.002569495],"genre_scores_gemma":[0.9987761,0.0001307775,0.000009436675,0.0001369021,0.00003549236,0.000004104235,0.0003586292,0.000001190478,0.0005472862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01334723,"threshold_uncertainty_score":0.03866386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360468530286467,"score_gpt":0.3483331874170172,"score_spread":0.3147285021141526,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}