{"id":"W6886015389","doi":"10.14288/1.0447297","title":"Smart Triage: Clinical Data - PRST","year":2024,"lang":"en","type":"dataset","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Data collection; Medical record; Intervention (counseling); mHealth; Psychological intervention; Telemedicine; Health care","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":[],"consensus_categories":[],"category_scores_codex":[0.008566329,0.0006524822,0.0009176797,0.002640495,0.0006900626,0.002417951,0.001542052,0.0007419261,0.05280827],"category_scores_gemma":[0.04722435,0.0005643844,0.0008526882,0.003259734,0.0004717696,0.002075623,0.003046867,0.001702944,0.02185667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310802,"about_ca_system_score_gemma":0.004486691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003657372,"about_ca_topic_score_gemma":0.00450587,"domain_scores_codex":[0.990778,0.003747358,0.002409065,0.0009149901,0.001737134,0.0004134699],"domain_scores_gemma":[0.9633191,0.01372407,0.006519395,0.005698828,0.00788837,0.002850193],"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":[0.004421964,0.001259418,0.09530169,0.002281613,0.0002173917,0.0002815606,0.001181427,0.001378867,0.0009135896,0.003333795,0.5067588,0.3826698],"study_design_scores_gemma":[0.003642835,0.004745798,0.2572005,0.005511889,0.0002968079,0.001006331,0.001701776,0.01048844,0.005789006,0.005301075,0.7039374,0.0003781914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1216428,0.002331299,0.05271525,0.01594258,0.002187476,0.03861842,0.6001806,0.01865819,0.1477234],"genre_scores_gemma":[0.4229979,0.004023292,0.129496,0.00789265,0.001549392,0.05873474,0.3329806,0.00335212,0.0389733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05280827,"threshold_uncertainty_score":0.1766613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2398882061666357,"score_gpt":0.4733792223136038,"score_spread":0.2334910161469681,"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."}}