{"id":"W6961111493","doi":"10.14288/1.0424556","title":"Health Worker Training Materials ~ Smart Discharges","year":2023,"lang":"en","type":"dataset","venue":"Open Collections","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Health worker; Context (archaeology); General partnership; Christian ministry; Public health; Vulnerability (computing); Health assessment; Occupational safety and health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003065257,0.0006449337,0.0004685299,0.001020934,0.001195602,0.001191081,0.001478096,0.001184039,0.6208534],"category_scores_gemma":[0.01155824,0.000515471,0.0005116106,0.001092234,0.0003962249,0.001947713,0.003456112,0.001783811,0.2266774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132802,"about_ca_system_score_gemma":0.004237062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003183314,"about_ca_topic_score_gemma":0.00688833,"domain_scores_codex":[0.9987563,0.0004953024,0.00009573448,0.0001317469,0.0002558116,0.0002650174],"domain_scores_gemma":[0.9941388,0.002310431,0.0002433582,0.0006727721,0.001240727,0.001394027],"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":[0.0001511099,0.0003711497,0.0004853145,0.0005051724,0.000002548601,0.00003251487,0.000218099,0.0001535225,0.00015503,0.000711998,0.8715118,0.1257019],"study_design_scores_gemma":[0.0003299171,0.0003197904,0.007395651,0.0005816111,0.000005281364,0.00004463256,0.0008225183,0.0002722759,0.0005067615,0.002297021,0.9873973,0.0000272421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.03268485,0.0007846085,0.02334522,0.02484765,0.00509135,0.03462146,0.2615549,0.02483686,0.5922331],"genre_scores_gemma":[0.09024853,0.00216455,0.07705785,0.0201872,0.001496188,0.1001817,0.1394004,0.003447947,0.5658156],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6208534,"threshold_uncertainty_score":0.5408067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05175841339041692,"score_gpt":0.3276600424207859,"score_spread":0.275901629030369,"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."}}