{"id":"W2756050684","doi":"10.12927/hcpol.2017.25193","title":"An Integrated Needs-Based Approach to Health Service and Health Workforce Planning: Applications for Pandemic Influenza","year":2017,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Dalhousie University","funders":"Canadian Institutes of Health Research; Ministry of Health, British Columbia; Nova Scotia Department of Health and Wellness; Department of Health, Western Cape Government; Nova Scotia Health Research Foundation","keywords":"Workforce; Business; Pandemic; Health care; Context (archaeology); Variety (cybernetics); Workforce planning; Surge Capacity; Service (business); Natural disaster; Needs assessment; Coronavirus disease 2019 (COVID-19); Medicine; Economic growth; Marketing; Computer science; Political science; Geography; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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"],"consensus_categories":[],"category_scores_codex":[0.002681303,0.0004864778,0.001106645,0.0007452163,0.007445824,0.000106352,0.0009435618,0.000449108,0.000008668265],"category_scores_gemma":[0.0002426237,0.0004596614,0.00009385212,0.0007521884,0.00009490315,0.0003295414,0.000199662,0.001137574,0.00005116752],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002546133,"about_ca_system_score_gemma":0.01987586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07092401,"about_ca_topic_score_gemma":0.008364275,"domain_scores_codex":[0.994494,0.0006914106,0.001470225,0.0008466502,0.0003469645,0.002150817],"domain_scores_gemma":[0.9933004,0.0004216527,0.001224846,0.001966653,0.0006206452,0.002465828],"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":[0.0008637112,0.0004371452,0.4479106,0.01719074,0.00005835879,9.312088e-7,0.03646816,0.0002936094,0.00001262098,0.09863386,0.08071534,0.3174149],"study_design_scores_gemma":[0.002522781,0.0007409386,0.1293587,0.0005640678,0.00001127944,0.000005316523,0.00510966,0.0008357706,0.000001204596,0.001394252,0.8589497,0.0005062955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01245873,0.004281712,0.0770162,0.8788336,0.0006398311,0.0196784,0.001508911,0.00123334,0.004349298],"genre_scores_gemma":[0.238574,0.0002490643,0.01569974,0.7373285,0.001605123,0.005282762,0.0006786453,0.000150299,0.0004318788],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7782344,"threshold_uncertainty_score":0.9997855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3073006300432746,"score_gpt":0.5646547833753902,"score_spread":0.2573541533321156,"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."}}