{"id":"W6920999576","doi":"10.6084/m9.figshare.17305641","title":"Additional file 1 of Health workforce strategies in response to major health events: a rapid scoping review with lessons learned for the response to the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health; University of Ottawa","funders":"","keywords":"Pandemic; Workforce; Workforce development; MEDLINE; Public health; Coronavirus disease 2019 (COVID-19); Health care","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006616205,0.001329535,0.002166976,0.01155631,0.001176663,0.002444385,0.002181728,0.001884811,0.8077599],"category_scores_gemma":[0.07977151,0.0009267539,0.002360036,0.01770234,0.0004042072,0.004262371,0.002495275,0.00123294,0.06511506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004080273,"about_ca_system_score_gemma":0.01094121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01928729,"about_ca_topic_score_gemma":0.04064443,"domain_scores_codex":[0.9971219,0.0005806591,0.001234142,0.0003275259,0.0005330254,0.0002027789],"domain_scores_gemma":[0.9251006,0.05556939,0.005028051,0.001079483,0.01243454,0.0007879268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003563257,0.00004596839,0.0007817515,0.1375331,0.0001281594,0.00009078596,0.0003270957,0.0002814485,0.0001043634,0.001752237,0.8418492,0.01674954],"study_design_scores_gemma":[0.003802265,0.000194564,0.011869,0.1466579,0.0009798808,0.0002721747,0.001245295,0.0005822551,0.0003826539,0.007247503,0.8266283,0.0001382919],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.0001482979,0.0003492963,0.0002336987,0.0005999441,0.00005880664,0.001390378,0.9942971,0.0001203278,0.002802081],"genre_scores_gemma":[0.008397527,0.006747017,0.01537711,0.003145876,0.0004085754,0.05851128,0.8639679,0.0007964031,0.04264843],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8077599,"threshold_uncertainty_score":0.2742071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3411148736765605,"score_gpt":0.5410093732988741,"score_spread":0.1998944996223136,"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."}}