{"id":"W6950702343","doi":"10.5683/sp3/xfcohr","title":"Health Worker Training Materials ~ Smart Triage","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Triage; Context (archaeology); General partnership; Health worker; Training (meteorology); MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00430334,0.0007818729,0.0005463676,0.001464644,0.001528768,0.001903339,0.001784316,0.00159382,0.6429009],"category_scores_gemma":[0.0237416,0.0006341521,0.0006790895,0.001558708,0.0005039931,0.002482919,0.004657013,0.002132021,0.3164857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958139,"about_ca_system_score_gemma":0.006409494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005280177,"about_ca_topic_score_gemma":0.009135054,"domain_scores_codex":[0.9975405,0.001116354,0.0001981766,0.0002777718,0.0004642609,0.0004029176],"domain_scores_gemma":[0.9852551,0.005635775,0.0007318962,0.002043714,0.003477709,0.00285582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001176266,0.0001801775,0.0006442235,0.0005273315,0.000003744518,0.00003587646,0.0001850518,0.0001622519,0.0001169448,0.0007898741,0.8923537,0.1048833],"study_design_scores_gemma":[0.0001902397,0.0001836291,0.006214621,0.0008859467,0.000006843389,0.00005622932,0.0004980792,0.0003492194,0.0003256401,0.002414713,0.9888462,0.00002866317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.01906967,0.001162064,0.02796145,0.03908428,0.005427813,0.02321563,0.3348406,0.02469722,0.5245413],"genre_scores_gemma":[0.09012226,0.003266188,0.07615689,0.03379156,0.002767445,0.09609628,0.2011735,0.005438035,0.491188],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6429009,"threshold_uncertainty_score":0.5093585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08566792533893225,"score_gpt":0.3424783271703897,"score_spread":0.2568104018314575,"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."}}