{"id":"W4382241522","doi":"10.22541/au.168787803.34898922/v1","title":"Real world respiratory profiles and Duchenne muscular dystrophy","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Duchenne muscular dystrophy; Muscular dystrophy; Pulmonology; Neuromuscular disease; Medicine; Respiratory system; Real world data; Internal medicine; Intensive care medicine; Pediatrics; Disease; Computer science; Data science","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":[0.007569951,0.0006377958,0.000840774,0.002134438,0.0007941486,0.004859753,0.001056918,0.003245038,0.006868847],"category_scores_gemma":[0.03970393,0.0003957347,0.0006324066,0.001763941,0.001067418,0.001904876,0.001335812,0.004684752,0.002476129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140691,"about_ca_system_score_gemma":0.003619164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082508,"about_ca_topic_score_gemma":0.03227682,"domain_scores_codex":[0.9947699,0.001511258,0.0007740778,0.000538338,0.002123547,0.0002828484],"domain_scores_gemma":[0.9767938,0.01220156,0.00133848,0.0007455071,0.007462401,0.001458366],"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":[0.00006590339,0.000005734783,0.002739346,0.000218638,0.00007069141,0.0002334162,0.00007659222,0.00006095079,0.00004791347,0.001317082,0.9772242,0.01793957],"study_design_scores_gemma":[0.00005549841,0.00002187806,0.01317515,0.001877552,0.0001135091,0.00141318,0.000364414,0.0002511754,0.0001148518,0.003312892,0.9792368,0.00006289261],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003814047,0.1324855,0.001622829,0.5248369,0.3177671,0.00004330129,0.007433267,0.0003253267,0.01167172],"genre_scores_gemma":[0.05443092,0.1177387,0.002845351,0.08406152,0.7132028,0.00008951333,0.009207805,0.0005335483,0.01788988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02082508,"threshold_uncertainty_score":0.04140776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363056766133879,"score_gpt":0.2777389747574366,"score_spread":0.2541084070960978,"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."}}