{"id":"W2991186944","doi":"10.1183/13993003.congress-2019.oa1595","title":"Patient-specific FEV1 reproducibility limits to more accurately track disease progression","year":2019,"lang":"en","type":"article","venue":"","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Reproducibility; Medicine; Spirometry; Population; Cystic fibrosis; Internal medicine; Physical therapy; Statistics; Asthma; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01769345,0.000708239,0.0008305261,0.001937902,0.0003956276,0.001962394,0.0009335802,0.001493195,0.001224986],"category_scores_gemma":[0.03536331,0.0003169184,0.001342667,0.001189119,0.0005555646,0.001185915,0.001163812,0.001510068,0.0003786112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000801752,"about_ca_system_score_gemma":0.0006688706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005215127,"about_ca_topic_score_gemma":0.006164378,"domain_scores_codex":[0.993597,0.002742008,0.000932473,0.00126986,0.001285954,0.0001725649],"domain_scores_gemma":[0.9652134,0.01717162,0.008363667,0.004789987,0.003999536,0.0004617446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003550467,0.00006451985,0.9681571,0.0001828034,0.0005317764,0.00006205394,0.0002305227,0.004942179,0.001630043,0.0005826771,0.001707081,0.02155433],"study_design_scores_gemma":[0.00004856198,0.0005678264,0.9680611,0.0001140833,0.0004536451,0.0006131816,0.000145191,0.0179924,0.005600248,0.001141117,0.005198347,0.0000642454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836001,0.008093879,0.09226263,0.00116278,0.0002073807,0.0003009786,0.006923993,0.0007999231,0.006648398],"genre_scores_gemma":[0.9792906,0.0002995103,0.0170067,0.000286042,0.00006099061,0.0001358065,0.00243658,0.00006105912,0.000422885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01769345,"threshold_uncertainty_score":0.09357297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05137708643760341,"score_gpt":0.3777249582146587,"score_spread":0.3263478717770553,"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."}}