{"id":"W2917070373","doi":"10.22158/rhs.v4n1p15","title":"Predicting Future Physician Output for British Columbia, Canada","year":2019,"lang":"en","type":"article","venue":"Research in Health Science","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Economic shortage; Workforce; Health care; Population; Distribution (mathematics); Population health; Medicine; Demography; Demographic economics; Economic growth; Economics; Environmental health; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01417019,0.0001057129,0.0003917946,0.0001708059,0.003854364,0.0001262594,0.001005319,0.0001291551,0.0001400196],"category_scores_gemma":[0.0005784585,0.0001495146,0.00002755827,0.00285673,0.0003113109,0.0003385841,0.0003403014,0.001571684,0.00007690521],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004840985,"about_ca_system_score_gemma":0.03282944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907973,"about_ca_topic_score_gemma":0.9956851,"domain_scores_codex":[0.9917833,0.0005534496,0.0008773319,0.0008279519,0.002140771,0.003817216],"domain_scores_gemma":[0.9960622,0.001188858,0.0002342772,0.0005824965,0.0009959489,0.0009362172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001953057,0.00003432695,0.9123598,0.002345767,0.000001100296,0.000006056596,0.0007046828,0.00002951942,0.000006849974,0.0004270535,0.06184482,0.02222045],"study_design_scores_gemma":[0.0009721166,0.0003642792,0.5189625,0.003907481,4.857201e-7,0.00000268789,0.02026009,0.004517531,0.000002003195,0.001036409,0.4497699,0.00020453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681026,0.0009913859,0.000003927233,0.01181688,0.003034295,0.006200799,0.00009564845,0.00006480397,0.009689608],"genre_scores_gemma":[0.9839139,0.0002384719,0.000597353,0.004765657,0.0009593409,0.000498214,0.00001129866,0.00002753014,0.008988218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3933973,"threshold_uncertainty_score":0.9989793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111320769686961,"score_gpt":0.5052413435289628,"score_spread":0.3941092665602667,"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."}}