{"id":"W6939418376","doi":"10.6084/m9.figshare.19549968","title":"Additional file 1 of Medical education interventions influencing physician distribution into underserved communities: a scoping review","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Psychological intervention; Distribution (mathematics); MEDLINE; Data extraction; Data collection; Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004737451,0.00006767107,0.0001945176,0.00008026223,0.0003593526,0.00006223628,0.0005119687,0.00003787106,0.7686117],"category_scores_gemma":[0.0004792725,0.00007328133,0.00007326336,0.0004075864,0.00004587165,0.0003987382,0.0007674805,0.0001880374,0.0001592872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009017625,"about_ca_system_score_gemma":0.0005242119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00537996,"about_ca_topic_score_gemma":0.005076882,"domain_scores_codex":[0.999052,0.00005580579,0.0003998893,0.0001101495,0.0002746039,0.000107504],"domain_scores_gemma":[0.9991722,0.0001244298,0.0003671235,0.0002000112,0.0001250942,0.00001118492],"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":[0.000002240465,0.0001540897,0.00002169462,0.003263779,0.00001306242,8.8156e-7,0.00005822565,0.00000114742,7.1458e-7,0.001452694,0.8484377,0.1465938],"study_design_scores_gemma":[0.00009914577,0.00001469417,0.0001249715,0.06679951,0.00001502208,0.00000291278,0.005170167,0.0001777094,8.402149e-7,0.0004805009,0.9270235,0.00009103314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1391945,0.01818959,0.001383635,0.109481,0.00421868,0.02367303,0.5181956,0.0002414272,0.1854225],"genre_scores_gemma":[0.4070877,0.0001190709,0.001063355,0.008603587,0.0006366792,0.005474973,0.5763159,0.00004199677,0.0006567377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7684525,"threshold_uncertainty_score":0.8132926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0856847179682978,"score_gpt":0.3705900178450674,"score_spread":0.2849052998767696,"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."}}