{"id":"W4360915063","doi":"10.4103/cjrm.cjrm_4_23","title":"President's Message – A national advanced skills and training program for rural practice","year":2023,"lang":"en","type":"editorial","venue":"Canadian Journal of Rural Medicine","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Medical education; Psychology; Computer science; Medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003756498,0.0004220772,0.001204361,0.0006551647,0.0008880364,0.00003256452,0.0004699395,0.0009561888,0.0002140629],"category_scores_gemma":[0.06084864,0.0003416861,0.0001256617,0.0004214297,0.0002968902,0.0004419714,0.00003542197,0.002648352,0.00001730462],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370863,"about_ca_system_score_gemma":0.01391237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009223907,"about_ca_topic_score_gemma":0.03636704,"domain_scores_codex":[0.9947993,0.000484286,0.001748137,0.0002261128,0.001394954,0.001347229],"domain_scores_gemma":[0.9783729,0.01335207,0.002117191,0.0001952794,0.003909779,0.002052748],"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":[0.0001759633,0.00001249502,0.00006720103,0.0007134658,0.0001255477,0.000112275,0.006199958,0.000006615342,0.000001741823,0.0002263963,0.9721756,0.02018272],"study_design_scores_gemma":[0.003555734,0.001359262,0.0003196033,0.01475055,0.00024745,0.00004571378,0.0324982,0.00000928192,1.501793e-7,0.001073828,0.945886,0.0002542897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001246551,0.00709252,0.00001891609,0.02394366,0.9618902,0.002712222,0.0005110589,0.00007240599,0.0025125],"genre_scores_gemma":[0.004163049,0.002686671,0.002317552,0.001563524,0.97754,0.000415032,0.0006708694,0.000195619,0.01044771],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05709215,"threshold_uncertainty_score":0.9999035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393697991172583,"score_gpt":0.4656944373524365,"score_spread":0.4317574574407107,"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."}}