{"id":"W3000622563","doi":"10.1111/inr.12557","title":"The inclusion of mothers in human resources for health planning","year":2020,"lang":"en","type":"article","venue":"International Nursing Review","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Workforce; Health care; Population; Human resources; Health human resources; Nursing; Medicine; Inclusion (mineral); Population health; HRHIS; Workforce planning; Health policy; Business; Environmental health; Economic growth; Public health; Psychology; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002762316,0.00004949781,0.0001853081,0.00001914301,0.00010373,0.000004367831,0.0001178602,0.00001323266,0.00001147631],"category_scores_gemma":[0.0001236964,0.00003214795,0.00005272811,0.00006225644,0.00002972118,0.00001679729,0.00003218117,0.00007178148,0.000001270166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000898608,"about_ca_system_score_gemma":0.00003156473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003306736,"about_ca_topic_score_gemma":0.000002013657,"domain_scores_codex":[0.999289,0.00002690333,0.0003117024,0.00008930007,0.0001873293,0.00009571752],"domain_scores_gemma":[0.9996614,0.00004187453,0.0001379169,0.00005454893,0.00004693657,0.00005736297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002388989,0.0009237762,0.08033578,0.03339236,0.0002614547,0.00004266173,0.03251652,0.0001394586,0.003053528,0.04188944,0.2268022,0.5782538],"study_design_scores_gemma":[0.001443096,0.0008644002,0.05602737,0.1319453,0.00003946223,0.00004467882,0.0003040343,0.0006252214,0.0001099453,0.003403084,0.8050632,0.0001301998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1799996,0.1351538,0.000184067,0.6778023,0.0002778544,0.001023911,0.00001822155,0.00002784236,0.005512343],"genre_scores_gemma":[0.9687745,0.007157129,0.0002682015,0.02351825,0.0001874286,0.000008713908,0.00001020904,0.000008931957,0.00006663443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7887749,"threshold_uncertainty_score":0.1310955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04086045381665877,"score_gpt":0.4234608503395937,"score_spread":0.382600396522935,"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."}}