{"id":"W4225791706","doi":"10.1186/s12913-021-07366-4","title":"Modernising physician resource planning: a national interactive web platform for Canadian medical trainees","year":2022,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster University; Dalhousie University; University of Toronto; University of British Columbia; Memorial University of Newfoundland","funders":"","keywords":"Workforce; Workforce planning; Population; Health informatics; Medicine; Health administration; Health care; Health human resources; Human resources; Population health; Public health; Medical education; Nursing; Public relations; Environmental health; Economic growth; Management; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00459302,0.0007333374,0.0003870801,0.004196053,0.002176086,0.002466982,0.001626197,0.0007475309,0.020722],"category_scores_gemma":[0.01596363,0.0004434847,0.0007076713,0.004504936,0.0005775237,0.002542725,0.004921696,0.0008974001,0.005039462],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007122333,"about_ca_system_score_gemma":0.02296513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5316255,"about_ca_topic_score_gemma":0.762324,"domain_scores_codex":[0.9982433,0.0004485829,0.0001211626,0.0001768587,0.000625939,0.000384155],"domain_scores_gemma":[0.983614,0.005376755,0.0006328285,0.001403679,0.004000957,0.004971803],"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":[0.0007132486,0.000388565,0.03490627,0.0009757808,0.00007497674,0.0006341106,0.008553618,0.001253285,0.003336731,0.001876886,0.5828958,0.3643908],"study_design_scores_gemma":[0.0002127453,0.0002183615,0.07995048,0.0006881801,0.000064826,0.0002682741,0.005729802,0.009064186,0.001671389,0.002166244,0.899591,0.0003744887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2515737,0.002487095,0.0625697,0.02713814,0.001425519,0.009593635,0.2470928,0.1334806,0.264639],"genre_scores_gemma":[0.4156273,0.003044225,0.3317938,0.00527037,0.001007973,0.005951953,0.156192,0.006879578,0.07423276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9928777,"threshold_uncertainty_score":0.9422657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1650547633149695,"score_gpt":0.5440306334788148,"score_spread":0.3789758701638453,"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."}}