{"id":"W4283397310","doi":"10.1177/08404704221093982","title":"Operationalizing integrated needs-based workforce planning at Nova Scotia Health in response to the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Operationalization; Workforce; Pandemic; Workforce planning; Business; Psychological intervention; Nova scotia; Needs assessment; Coronavirus disease 2019 (COVID-19); Process management; Nursing; Medicine; Political science; Economic growth; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009093474,0.0004308648,0.0006075095,0.001045109,0.005549915,0.00003694615,0.0009083901,0.0001999628,0.001571721],"category_scores_gemma":[0.000396783,0.0003804459,0.00009924777,0.00351036,0.00006197685,0.0001070771,0.001357665,0.00215113,0.0004386699],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0132644,"about_ca_system_score_gemma":0.00233937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01979803,"about_ca_topic_score_gemma":0.05095814,"domain_scores_codex":[0.9880809,0.006050885,0.001679179,0.0008067486,0.0009875351,0.002394791],"domain_scores_gemma":[0.9960334,0.001368762,0.0005219169,0.0009991725,0.0001231445,0.0009536154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005078036,0.00009182544,0.4812452,0.0009062913,0.00002432578,0.00006645378,0.01301644,0.08535682,0.000003380594,0.009988154,0.3997415,0.004481508],"study_design_scores_gemma":[0.001875812,0.0004346016,0.01101993,0.0007247754,0.000006994391,0.000009563573,0.06726176,0.001713626,2.396757e-7,0.0001864653,0.9164536,0.000312638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.176648,0.003280683,0.002870562,0.8014156,0.00241671,0.01040573,0.0003094432,0.0005898156,0.00206343],"genre_scores_gemma":[0.6193886,0.00006309109,0.0007995825,0.3706689,0.0000860498,0.001230392,0.0004681466,0.00007372913,0.007221505],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5167121,"threshold_uncertainty_score":0.9998648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385565877887376,"score_gpt":0.4679048439941336,"score_spread":0.329348256205396,"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."}}