{"id":"W7098770417","doi":"","title":"Canadian Acute Respiratory Illness and Flu Scale (CARIFS)","year":2016,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malay; Intraclass correlation; Respiratory illness; Reliability (semiconductor); Asthma; Severity of illness; Scale (ratio); Concordance","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":[0.0008371155,0.0004428924,0.0004231988,0.001355238,0.001062697,0.0004074694,0.0008357263,0.0003111416,0.008467621],"category_scores_gemma":[0.002587979,0.0001449794,0.000494197,0.001279932,0.0003675454,0.0003397776,0.0008102726,0.0008734409,0.0008890408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00406715,"about_ca_system_score_gemma":0.006305873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5016835,"about_ca_topic_score_gemma":0.6346664,"domain_scores_codex":[0.9988903,0.00009723807,0.0001214513,0.00007344172,0.0006644281,0.0001531025],"domain_scores_gemma":[0.9982906,0.0000885346,0.0003382067,0.00003252822,0.0008828862,0.0003672458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000521792,0.0003141557,0.8419033,0.001088513,0.0003257543,0.0006515351,0.002315466,0.000588169,0.001790064,0.0009900839,0.07069681,0.07881433],"study_design_scores_gemma":[0.00003618081,0.0001119032,0.9855762,0.00009385007,0.00003293336,0.0003607591,0.0004263462,0.0002337895,0.0001659499,0.00009249177,0.01284061,0.00002907378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.854946,0.003223774,0.001828656,0.00241276,0.0001950627,0.00225139,0.05762858,0.0002611717,0.07725251],"genre_scores_gemma":[0.9511352,0.002124621,0.007735756,0.0003787731,0.00004269231,0.00127348,0.02623825,0.0000170867,0.01105421],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4983165,"threshold_uncertainty_score":0.9975267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003471870596503676,"score_gpt":0.223599696670242,"score_spread":0.2201278260737383,"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."}}