{"id":"W2157752500","doi":"10.1016/j.healthpol.2005.06.003","title":"Interprovincial migration of physicians in Canada: What are the determinants?","year":2005,"lang":"en","type":"article","venue":"Health Policy","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada; Health Canada","funders":"Health Canada","keywords":"Residence; Geography; Demography; Specialty; Hazard; Logistic regression; Hazard model; Period (music); Demographic economics; Medicine; Sociology; Economics; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005637928,0.000157835,0.0004290786,0.0001242988,0.0004442894,0.000006494413,0.0002695819,0.0000976376,0.00004584766],"category_scores_gemma":[0.0001798106,0.0001222796,0.00003827972,0.0004969382,0.00005188014,0.0002452843,0.0000806477,0.0005168417,0.0000542163],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004305526,"about_ca_system_score_gemma":0.0117761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922891,"about_ca_topic_score_gemma":0.9996505,"domain_scores_codex":[0.9967644,0.0006838875,0.001055787,0.0002121492,0.0003039446,0.0009798158],"domain_scores_gemma":[0.9982318,0.0003541371,0.0007828568,0.0003843956,0.0001053557,0.0001414227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001401182,0.0001074921,0.4679545,0.001305268,0.00000685616,0.00000486079,0.03881516,0.0001665765,0.00000762554,0.002399225,0.07199878,0.4170935],"study_design_scores_gemma":[0.001000982,0.0001464242,0.4637501,0.005287384,0.000005692808,0.000002900447,0.07523263,0.002934392,0.00005511299,0.0002606709,0.4510723,0.0002513898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.822205,0.001054843,0.000006471957,0.1744506,0.000521483,0.001114728,0.00004170509,0.00002407287,0.0005811023],"genre_scores_gemma":[0.9263517,0.001035479,0.00006913281,0.07092495,0.001103749,0.0001025724,0.000006420667,0.00002064827,0.0003853073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4168421,"threshold_uncertainty_score":0.9995168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325685298526382,"score_gpt":0.4341607709852119,"score_spread":0.4009039179999481,"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."}}