{"id":"W2107901255","doi":"10.12927/cjnl.2010.21753","title":"Workforce Demand Forecaster Tool: Health Human Resources' Recruitment Crystal Ball?","year":2010,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Workforce; Human resources; Ball (mathematics); Nursing; Psychology; Applied psychology; Medicine; Management; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004934102,0.001002224,0.0008938033,0.003407232,0.0005253545,0.002266099,0.001519438,0.001201777,0.06404427],"category_scores_gemma":[0.02516246,0.0007537198,0.0004532019,0.002777517,0.0001736912,0.002312995,0.001208009,0.0008083897,0.01732854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009909917,"about_ca_system_score_gemma":0.002707882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01489528,"about_ca_topic_score_gemma":0.01328704,"domain_scores_codex":[0.9988245,0.0003501764,0.0001657653,0.0001539342,0.0004263795,0.00007917462],"domain_scores_gemma":[0.9854379,0.009822659,0.0009926416,0.001048533,0.002326144,0.0003721858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004835927,0.0002470474,0.009488879,0.000404038,0.00004202923,0.0001324615,0.0005272373,0.01028661,0.0004605684,0.005635384,0.6180992,0.354193],"study_design_scores_gemma":[0.0009495817,0.0003105675,0.01915506,0.0007316588,0.00009022588,0.0002930909,0.001163186,0.3546672,0.006980482,0.01777587,0.5975831,0.0003000662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05482384,0.0006450812,0.370388,0.0120236,0.001137514,0.002639086,0.1712184,0.2607017,0.1264229],"genre_scores_gemma":[0.2672486,0.0008532761,0.5768121,0.00164135,0.0003272778,0.00351846,0.07250106,0.008025864,0.06907204],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06404427,"threshold_uncertainty_score":0.2142494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4732641714162766,"score_gpt":0.3531430386596178,"score_spread":0.1201211327566588,"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."}}