{"id":"W4388719745","doi":"10.1370/afm.22.s1.5494","title":"An Evaluation of Physician Retention Bonuses in Newfoundland and Labrador","year":2023,"lang":"en","type":"article","venue":"","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Context (archaeology); Incentive; Descriptive statistics; Family medicine; Workload; Medicine; Health care; Geography; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01929109,0.0005479047,0.0007236559,0.001559374,0.002277748,0.001938208,0.0023224,0.0008589845,0.002814288],"category_scores_gemma":[0.03647399,0.0004830596,0.001358893,0.002262559,0.001455729,0.001429088,0.001978014,0.00169137,0.0003503013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04726071,"about_ca_system_score_gemma":0.05644333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8564408,"about_ca_topic_score_gemma":0.9126066,"domain_scores_codex":[0.9866871,0.00599818,0.0008953066,0.0008343527,0.002855367,0.002729701],"domain_scores_gemma":[0.9479032,0.01474876,0.01564544,0.001768939,0.01146705,0.00846659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004140606,0.003883592,0.9336525,0.0006111097,0.0005775627,0.0001140635,0.001928889,0.00179468,0.0001986061,0.0004138577,0.009860017,0.04282444],"study_design_scores_gemma":[0.0003200039,0.002623057,0.9891427,0.0003148252,0.0001704739,0.00002300289,0.003074925,0.001675135,0.0001959717,0.00004282666,0.002379171,0.00003791563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893162,0.0005818175,0.0003561529,0.00151339,0.00006563277,0.001000187,0.004297657,0.00004251936,0.002826361],"genre_scores_gemma":[0.990697,0.0003309489,0.001539248,0.0008936354,0.00005198755,0.001486838,0.003199624,0.00001472986,0.001786047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1435592,"threshold_uncertainty_score":0.342902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269091283927893,"score_gpt":0.4898922444316613,"score_spread":0.362983116038872,"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."}}