{"id":"W3109096955","doi":"10.1111/medu.14422","title":"Incentives for clinical teachers: On why their complex influences should lead us to proceed with caution","year":2020,"lang":"en","type":"article","venue":"Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Royal College of Physicians and Surgeons of Canada","keywords":"Incentive; Thematic analysis; Attrition; Context (archaeology); Psychology; Process (computing); Medical education; Public relations; Qualitative research; Social psychology; Medicine; Political science; Sociology; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0008986628,0.0001963375,0.0003491628,0.00013851,0.0001397505,0.00003297184,0.0002130106,0.0002417025,0.0002978226],"category_scores_gemma":[0.01304475,0.0001396787,0.0000704604,0.0007822756,0.0002454034,0.0001253502,0.00002710721,0.000564313,0.00006875912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001738443,"about_ca_system_score_gemma":0.002084039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003313937,"about_ca_topic_score_gemma":0.00001145513,"domain_scores_codex":[0.9976848,0.00008667555,0.00061596,0.0005022043,0.0008291355,0.0002812189],"domain_scores_gemma":[0.9985257,0.0001713801,0.0001664225,0.00024116,0.0005727989,0.0003224862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008963383,0.002065785,0.06094263,0.0002532893,0.00008478174,0.000001191401,0.006206171,0.000004441934,0.0002871427,0.001024211,0.5890524,0.3391816],"study_design_scores_gemma":[0.002395949,0.003227957,0.2639378,0.0008268022,0.0001204507,0.00001710163,0.006115159,0.003285444,0.000489974,0.0001764477,0.7190817,0.0003252246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7023496,0.00004327184,0.006896014,0.2879689,0.0005621595,0.001341153,0.000003532952,0.0001087061,0.0007266494],"genre_scores_gemma":[0.7452869,0.00002182339,0.00793774,0.2441784,0.0017077,0.0004099298,0.0002940622,0.00002870588,0.0001347593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3388563,"threshold_uncertainty_score":0.9952688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1429980075720111,"score_gpt":0.4653304097088122,"score_spread":0.3223324021368011,"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."}}