{"id":"W2993976003","doi":"","title":"Health human resource planning for the new millennium: inputs in the production of health, illness, and recovery in populations.","year":2002,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Production (economics); Resource (disambiguation); Function (biology); Complement (music); Health care; Population; Demographic change; Business; Medicine; Risk analysis (engineering); Environmental health; Computer science; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.009467237,0.001132774,0.0008912019,0.002941567,0.0006646791,0.00258521,0.001132487,0.001536925,0.01323514],"category_scores_gemma":[0.02659562,0.0007929258,0.0008359589,0.007899817,0.001032177,0.003841916,0.002997645,0.002332986,0.001402106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007448048,"about_ca_system_score_gemma":0.01432758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02772847,"about_ca_topic_score_gemma":0.0241629,"domain_scores_codex":[0.9944668,0.004045703,0.0001666225,0.0001322111,0.0008838641,0.0003047302],"domain_scores_gemma":[0.9922673,0.004449559,0.0006211827,0.000419741,0.001590375,0.0006518636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001436978,0.000116652,0.008916507,0.0014706,0.000215497,0.0001920613,0.0004928501,0.05861614,0.0002059285,0.3298362,0.3223156,0.2774781],"study_design_scores_gemma":[0.00009884634,0.000244115,0.01752853,0.004015503,0.0002033626,0.0002110454,0.001725746,0.0531033,0.0008463585,0.5304869,0.3914251,0.0001112605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02480624,0.0799602,0.2310824,0.3246862,0.006852697,0.001605776,0.05924844,0.001408476,0.2703497],"genre_scores_gemma":[0.5980978,0.09272938,0.2269987,0.01036658,0.002246466,0.003149305,0.01718855,0.0005001727,0.04872307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02772847,"threshold_uncertainty_score":0.05513412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1750791762322059,"score_gpt":0.2960595637942359,"score_spread":0.1209803875620301,"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."}}