{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000436004,0.0002248223,0.0003848273,0.00004126946,0.001499945,0.0008144356,0.0005708601,0.0002901014,0.0002553113],"category_scores_gemma":[0.0001478282,0.0001869082,0.00008750634,0.0003812568,0.00004599411,0.000002583186,0.0007613935,0.0001716782,0.0001406197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655094,"about_ca_system_score_gemma":0.0003020099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005521295,"about_ca_topic_score_gemma":0.004611908,"domain_scores_codex":[0.99852,0.0001820882,0.0003192479,0.0005222628,0.0000886944,0.0003677023],"domain_scores_gemma":[0.9992722,0.0000297465,0.0001774862,0.0003764272,0.00003875251,0.0001053704],"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":[0.00002578076,0.00003882378,0.000001036813,0.00001507411,0.00007113941,0.000002453679,0.000003772728,0.000002510207,0.0007247912,8.538514e-7,0.998719,0.000394799],"study_design_scores_gemma":[0.0001790704,0.0002690221,0.0000350267,0.00006970947,0.00001554919,0.00001282719,0.00005388842,6.28844e-7,0.000314316,0.0000520991,0.9987702,0.0002276678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001035241,0.0001026054,0.0000272473,0.0004723049,0.001354186,0.0005679284,0.9950891,0.00002720039,0.002255959],"genre_scores_gemma":[0.00005171481,0.0004118617,0.0001822746,0.0005224589,0.0006244019,0.0001429186,0.9203975,0.00002287384,0.07764407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0753881,"threshold_uncertainty_score":0.9998,"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."}}