{"id":"W6969280084","doi":"10.5683/sp3/rtbcvs","title":"Smart Triage Uganda Health Worker and Caregiver Video Series - English Version","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; University of British Columbia","funders":"","keywords":"Triage; Context (archaeology); Emergency department; Health worker; Health care; Process (computing)","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":[],"consensus_categories":[],"category_scores_codex":[0.0005723442,0.0009970085,0.0004805945,0.001451929,0.00071682,0.0008973039,0.000797328,0.0008935797,0.1795471],"category_scores_gemma":[0.005016671,0.0002573689,0.0004006143,0.001330173,0.0001708941,0.001676877,0.001386257,0.0008766259,0.0833037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007024984,"about_ca_system_score_gemma":0.0009202106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325256,"about_ca_topic_score_gemma":0.05066797,"domain_scores_codex":[0.9996587,0.00007310716,0.00003175029,0.00007750079,0.00008117158,0.00007787532],"domain_scores_gemma":[0.9982256,0.0004458084,0.0001036983,0.000164885,0.0008350431,0.0002249785],"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":[0.0001257001,0.00004633275,0.0008219661,0.0005445419,0.000006191619,0.00005359863,0.0001292326,0.0001126348,0.0003542878,0.0001290627,0.9769146,0.02076186],"study_design_scores_gemma":[0.0001068422,0.0001068711,0.0230935,0.001155794,0.00001658813,0.000206388,0.001182285,0.001616275,0.001578597,0.0005909606,0.9702815,0.00006436009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006558987,0.0005992372,0.00135604,0.0007693684,0.001051818,0.0006007561,0.9565367,0.003082911,0.0294442],"genre_scores_gemma":[0.01604565,0.0006843598,0.005343584,0.0004202648,0.0002426614,0.001401786,0.9466994,0.0006239424,0.02853827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1795471,"threshold_uncertainty_score":0.6006449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111998427426814,"score_gpt":0.2612926772716042,"score_spread":0.250172692997336,"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."}}