{"id":"W2096017933","doi":"10.1046/j.1440-1800.2000.00072.x","title":"Toward evidence‐based policy decisions: a case study of nursing health human resources in Ontario, Canada","year":2000,"lang":"en","type":"article","venue":"Nursing Inquiry","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Workforce; Workload; Nursing; Work (physics); Variety (cybernetics); Human resources; Service (business); Nurse Administrator; Task (project management); Business; Public relations; Medicine; MEDLINE; Political science; Economic growth; Marketing; Computer science; Management; 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":[0.01079861,0.0005441689,0.000655702,0.00177672,0.0363839,0.005979766,0.003449092,0.004942819,0.002433598],"category_scores_gemma":[0.02118963,0.0007592504,0.0005817045,0.006451576,0.009870088,0.001652766,0.004300748,0.003783918,0.0001704703],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2129651,"about_ca_system_score_gemma":0.2882738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942253,"about_ca_topic_score_gemma":0.9982856,"domain_scores_codex":[0.9804718,0.007783474,0.000613011,0.0006413991,0.003533608,0.006956767],"domain_scores_gemma":[0.979423,0.009761871,0.001419439,0.0005172995,0.004762776,0.004115755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004360034,0.0007530813,0.1026374,0.001268631,0.0001510076,0.04137539,0.7461303,0.004404171,0.001921925,0.03270648,0.01752009,0.05069538],"study_design_scores_gemma":[0.0001312004,0.0003262811,0.06323613,0.0008229915,0.00009186927,0.001507803,0.8523774,0.002070289,0.0006368702,0.00197203,0.07669217,0.000134971],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943777,0.002045827,0.001138529,0.02218396,0.00007420997,0.0008394049,0.000275212,0.00001363532,0.02965212],"genre_scores_gemma":[0.9888588,0.001725431,0.00157233,0.002061059,0.00002113952,0.0001384322,0.00007049808,0.00001244267,0.005539942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7870349,"threshold_uncertainty_score":0.9128489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3758465232071416,"score_gpt":0.5269953964014348,"score_spread":0.1511488731942932,"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."}}