{"id":"W4394442879","doi":"10.6084/m9.figshare.19906309","title":"Additional file 8 of Predicting progression to severe COVID-19 using the PAINT score","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Environmental science; Medicine; Internal medicine; Virology; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001441051,0.001545898,0.00127442,0.001976964,0.0007284897,0.001956523,0.002147471,0.001924413,0.3826142],"category_scores_gemma":[0.01334294,0.0005778706,0.001559651,0.00263886,0.0003118701,0.001193223,0.001187329,0.001685171,0.09688543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355664,"about_ca_system_score_gemma":0.002084856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02412857,"about_ca_topic_score_gemma":0.04242671,"domain_scores_codex":[0.9991475,0.0001526895,0.0001274871,0.0002663163,0.0001462344,0.000159797],"domain_scores_gemma":[0.9947404,0.002805651,0.0004865816,0.0005441687,0.001103445,0.0003198383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000167786,0.00004625663,0.003045766,0.0006525598,0.00004757728,0.0000246332,0.0000158351,0.0002504739,0.00004448893,0.0002331491,0.9935989,0.001872498],"study_design_scores_gemma":[0.003866327,0.0002258583,0.04875242,0.002420933,0.0002979204,0.0003556288,0.0003501001,0.00212062,0.0008084624,0.005658103,0.9349869,0.0001566371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000088418,0.00001305386,0.00002883771,0.00004041868,0.00001310025,0.00001234705,0.9995329,0.00004958121,0.0002212699],"genre_scores_gemma":[0.001311492,0.00003642015,0.0003275544,0.0001338136,0.00002828788,0.0002335592,0.9963379,0.00007442751,0.001516536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3826142,"threshold_uncertainty_score":0.8806259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1982945524017826,"score_gpt":0.4900781430351587,"score_spread":0.291783590633376,"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."}}