{"id":"W4306247876","doi":"10.1177/08404704221117263","title":"Implementing leading practices in regional-level primary care workforce planning: Lessons learned in Toronto","year":2022,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Ottawa","funders":"","keywords":"Operationalization; Workforce; Workforce planning; Business; Workforce development; Population; Software deployment; Process management; Economic growth; Medicine; Computer science; Environmental health; Economics","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":[0.02730687,0.0005865993,0.0003636459,0.001157951,0.01038097,0.009537343,0.003743469,0.001798797,0.003930922],"category_scores_gemma":[0.02826781,0.000663384,0.0006589696,0.002744055,0.005484123,0.003492289,0.008720246,0.004217578,0.0004789707],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1231511,"about_ca_system_score_gemma":0.3055935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9074432,"about_ca_topic_score_gemma":0.970095,"domain_scores_codex":[0.9828314,0.008044253,0.0009351693,0.0008085439,0.002880156,0.004500414],"domain_scores_gemma":[0.9526155,0.01166324,0.00235671,0.002318968,0.01197404,0.01907157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002146315,0.000463807,0.06209097,0.005190028,0.0001610462,0.002843722,0.1926497,0.01599624,0.002222784,0.03954038,0.09237287,0.5862538],"study_design_scores_gemma":[0.0001210632,0.0006343263,0.199512,0.008015956,0.0001650293,0.0006119543,0.3157022,0.007095264,0.002006518,0.01715022,0.4486414,0.0003441902],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2993585,0.03557074,0.0358008,0.4984239,0.002750642,0.002154749,0.0009682432,0.0009490688,0.1240234],"genre_scores_gemma":[0.9276646,0.01246806,0.04260963,0.007240298,0.0002878001,0.0004281642,0.0004462583,0.0001830925,0.008672144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9074432,"threshold_uncertainty_score":0.8935279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2857286237289234,"score_gpt":0.5200317732829518,"score_spread":0.2343031495540284,"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."}}