{"id":"W4386715883","doi":"10.46747/cfp.6909655","title":"A better future","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Cohort; IMG; Medical education; Medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003305844,0.0009311026,0.0005558064,0.001137203,0.01114692,0.01136731,0.001460487,0.006326688,0.2724732],"category_scores_gemma":[0.008866824,0.0003488075,0.0008938923,0.0007991719,0.003379383,0.01296862,0.006627129,0.01287474,0.09063829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006953354,"about_ca_system_score_gemma":0.01904698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0455653,"about_ca_topic_score_gemma":0.07989813,"domain_scores_codex":[0.9966744,0.000648801,0.00009078311,0.000337957,0.001165035,0.00108294],"domain_scores_gemma":[0.9918444,0.0002999017,0.0001652579,0.0003625368,0.002940238,0.004387722],"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":[0.000005265527,0.0000131226,0.0001149605,0.00002582294,0.000002300538,0.00003669326,0.000211789,0.0000145457,0.00003598492,0.01470193,0.9693127,0.01552488],"study_design_scores_gemma":[0.000002197617,0.000004053904,0.0001098403,0.00008750135,0.000001256924,0.00005103616,0.0005937493,0.000008857429,0.00001445629,0.003296683,0.9958246,0.000005722048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006791054,0.007197396,0.00132329,0.5752882,0.05196941,0.00005711149,0.0007265799,0.0006079832,0.362151],"genre_scores_gemma":[0.02110359,0.01109721,0.004316517,0.3518597,0.01365782,0.0001414905,0.001391062,0.0007534682,0.5956791],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2724732,"threshold_uncertainty_score":0.9115136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03949214562076087,"score_gpt":0.3649073223547762,"score_spread":0.3254151767340153,"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."}}