{"id":"W2735025955","doi":"10.1136/bmjopen-2016-015145","title":"Primary care workforce and continuous medical education in China: lessons to learn from a nationwide cross-sectional survey","year":2017,"lang":"en","type":"article","venue":"BMJ Open","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Chinese Medical Association","keywords":"Medicine; Workforce; Bachelor; Family medicine; Cross-sectional study; Nursing; Community health; Public health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001921239,0.00008811602,0.000319295,0.00009325276,0.0003036948,0.0005356227,0.0004753112,0.0001622172,0.0001019907],"category_scores_gemma":[0.001040329,0.00008243677,0.00002721787,0.00006071364,0.00004124176,0.0003447884,0.0003146898,0.0001568028,0.000113688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659955,"about_ca_system_score_gemma":0.0006100048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1433589,"about_ca_topic_score_gemma":0.03488759,"domain_scores_codex":[0.9988344,0.00003936188,0.0005191248,0.000358471,0.0000749326,0.0001737441],"domain_scores_gemma":[0.9990677,0.00002628531,0.0002967003,0.0003824786,0.00006177146,0.0001650186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003105346,0.00002576473,0.9656053,0.00003076597,0.000006364148,0.000001710877,0.0004746852,0.000003933303,2.059522e-7,0.002843083,0.0001625124,0.03081463],"study_design_scores_gemma":[0.0004782786,0.00002140544,0.9887819,0.0001109387,1.820748e-7,0.000003196147,0.00007267821,0.00003742785,4.904688e-7,0.001267744,0.009097191,0.0001285552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548768,0.0003604988,0.00007872488,0.002128111,0.0008869544,0.001648539,0.0002332429,0.000007278793,0.03977983],"genre_scores_gemma":[0.9932646,0.00003560061,0.0001815348,0.0004539964,0.0002284322,0.0002578228,0.000171429,0.0000141492,0.005392494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1084713,"threshold_uncertainty_score":0.9827232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1190927876436034,"score_gpt":0.4220211253046761,"score_spread":0.3029283376610727,"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."}}