{"id":"W3091462010","doi":"10.1111/ajr.12666","title":"Theoretical analysis of policies to improve the recruitment and retention of rural physicians","year":2020,"lang":"en","type":"article","venue":"Australian Journal of Rural Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Psychological intervention; Economic shortage; Outcome (game theory); Conceptual framework; Mechanism (biology); Conceptual model; Business; Policy analysis; Public economics; Medicine; Public relations; Economic growth; Economics; Nursing; Political science; Public administration; Computer science; Sociology","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":[0.001345273,0.0001767699,0.0009431606,0.000184543,0.0002699864,0.000007524702,0.0002994283,0.0001071612,0.0002352663],"category_scores_gemma":[0.000161847,0.0001152803,0.0002570532,0.001049961,0.0002600114,0.0001100693,0.00008230955,0.0005988416,0.000006650056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761876,"about_ca_system_score_gemma":0.0003485134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262521,"about_ca_topic_score_gemma":0.0001168503,"domain_scores_codex":[0.9962,0.0008723969,0.001721817,0.0001039947,0.0004977589,0.0006039932],"domain_scores_gemma":[0.9968606,0.0003273358,0.001638101,0.0002379599,0.0003932453,0.0005427473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.005208243,0.0005482224,0.2484164,0.005193305,0.00354296,0.00001632067,0.2465354,0.001121085,0.01176821,0.2769958,0.08035078,0.1203033],"study_design_scores_gemma":[0.003257642,0.01272049,0.542688,0.005761605,0.002076599,0.00001918657,0.4132143,0.0004877503,0.001787535,0.006290795,0.0111461,0.0005500191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.870425,0.0003252792,0.00007698609,0.1277262,0.0002819947,0.0009119851,0.00009435955,0.000009701714,0.0001485046],"genre_scores_gemma":[0.9946086,0.0004755179,0.0003722549,0.004099154,0.000265055,0.00001055109,0.000008082973,0.00001413425,0.0001466277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2942716,"threshold_uncertainty_score":0.4700996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046565828823591,"score_gpt":0.4585022746327054,"score_spread":0.3538456917503464,"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."}}