{"id":"W4288911900","doi":"10.2139/ssrn.3409243","title":"Medical Innovation, Education, and Labor Market Outcomes of Cancer Patients","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Labour economics; Cancer; Business; Medicine; Economics; Internal medicine","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":[0.001211455,0.0001659294,0.000335607,0.001238235,0.0005904898,0.0017002,0.0004659658,0.001385494,0.01230749],"category_scores_gemma":[0.01083782,0.0001689779,0.0007741082,0.001625981,0.0004769446,0.001265848,0.0009027593,0.001690707,0.001007785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008913029,"about_ca_system_score_gemma":0.001202336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061898,"about_ca_topic_score_gemma":0.0110551,"domain_scores_codex":[0.9991744,0.0001987453,0.00007860758,0.00006794011,0.00008634492,0.0003938862],"domain_scores_gemma":[0.9917405,0.002215106,0.003421006,0.0002065417,0.0004214898,0.001995502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004078739,0.0005115457,0.9938992,0.00001657291,0.00006450123,0.00006837968,0.0001561812,0.0003231878,0.0000531942,0.0002380116,0.0005202965,0.003741013],"study_design_scores_gemma":[0.00003455563,0.0003121342,0.9968318,0.00002060978,0.00004562357,0.00008244998,0.0007772471,0.0006676013,0.00005334058,0.000548455,0.0006119354,0.00001407655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945595,0.000578513,0.00003462913,0.001380271,0.00002385823,0.00001029782,0.0008623227,0.000004020926,0.002546678],"genre_scores_gemma":[0.9985499,0.0001542495,0.00000948989,0.0001263659,0.00003713218,0.000004452095,0.0004253118,0.000001337937,0.0006916993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01230749,"threshold_uncertainty_score":0.04117268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005643449750567206,"score_gpt":0.2384441799694448,"score_spread":0.2328007302188776,"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."}}