{"id":"W3174816956","doi":"10.3386/w28929","title":"Doing More with Less: Predicting Primary Care Provider Effectiveness","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Primary care; Primary (astronomy); Business; Medicine; Family 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":[0.004387474,0.0002194787,0.0004041398,0.001451611,0.0004295224,0.001178385,0.0005522504,0.0008240902,0.002671274],"category_scores_gemma":[0.03457931,0.0002108209,0.0006691703,0.001460376,0.000483969,0.0007872254,0.0006957127,0.001088022,0.0003741748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008207838,"about_ca_system_score_gemma":0.0007583881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310465,"about_ca_topic_score_gemma":0.01191218,"domain_scores_codex":[0.9960726,0.001997855,0.0003980596,0.0003699909,0.0007069259,0.0004545257],"domain_scores_gemma":[0.947723,0.03011907,0.01450877,0.001976048,0.001944385,0.003728716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002499976,0.00006870205,0.9979774,0.000006847706,0.000059513,0.00001330424,0.00002941912,0.0002222446,0.00001139113,0.00003510768,0.0002111153,0.001339949],"study_design_scores_gemma":[0.000007733753,0.00006232855,0.9982633,0.00001087749,0.0000299091,0.00006538445,0.0001584059,0.001099748,0.00002353122,0.00009149689,0.000183858,0.000003478032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943674,0.0005238508,0.0004075059,0.0009493324,0.00001964358,0.00003347607,0.001718154,0.00001026024,0.001970337],"genre_scores_gemma":[0.9987463,0.0001025722,0.0001858345,0.0001057235,0.00003250643,0.00001158114,0.0007106364,0.000002349776,0.0001024044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01310465,"threshold_uncertainty_score":0.02605677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3454018491358161,"score_gpt":0.5903907432476223,"score_spread":0.2449888941118062,"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."}}