{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172753,0.00008979495,0.00006764709,0.00003946237,0.00009245628,0.00001848202,0.0001117221,0.000116721,0.0001200603],"category_scores_gemma":[0.00004204517,0.00005932086,0.00002291813,0.00003151051,0.00006072895,0.000003623953,0.00006865609,0.00004284273,0.00004421141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001839779,"about_ca_system_score_gemma":0.0001040904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00286728,"about_ca_topic_score_gemma":0.04302181,"domain_scores_codex":[0.999463,0.00002119681,0.0001092,0.0001445668,0.00005862796,0.0002034508],"domain_scores_gemma":[0.9995057,0.000006200581,0.00002714242,0.0002466884,0.00003618677,0.0001780548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006034532,0.00002094691,0.1626707,0.00004448516,0.0001723225,0.00001250511,0.000274391,0.000005596547,0.6216211,0.001631443,0.08781339,0.1256727],"study_design_scores_gemma":[0.0005899466,0.0001648102,0.01382381,0.00001469412,0.00001716912,0.00003148894,0.00005859634,0.00005919804,0.09302439,0.00006147379,0.8918244,0.0003300666],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628951,0.0001071198,0.00164505,0.0009314977,0.0001221892,0.0001032937,0.00004010986,0.00002019578,0.03413545],"genre_scores_gemma":[0.9879577,0.00004826645,0.001405433,0.001979418,0.0001060847,0.000006826364,0.00001578737,0.00001530942,0.008465143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.804011,"threshold_uncertainty_score":0.9744406,"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."}}