{"id":"W3113247071","doi":"10.1164/rccm.202011-4174le","title":"Spirometric Classifications of Chronic Obstructive Pulmonary Disease Severity as Predictive Markers for Clinical Outcomes: The HUNT Study","year":2020,"lang":"en","type":"letter","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Norwegian Institute of Public Health; Fakultet for medisin og helsevitenskap, Norges Teknisk-Naturvitenskapelige Universitet; St. Olavs Hospital Universitetssykehuset i Trondheim; Medical Research Council; Helse Midt-Norge; Stiftelsen Kristian Gerhard Jebsen; University of Bristol; Faculty of Medicine and Health, University of Sydney; Norges Teknisk-Naturvitenskapelige Universitet; EkstraStiftelsen Helse og Rehabilitering (Stiftelsen Dam); AstraZeneca","keywords":"Medicine; Pulmonary disease; Severity of illness; Spirometry; Disease; Intensive care medicine; Predictive value of tests; Internal medicine; Asthma","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":[],"consensus_categories":[],"category_scores_codex":[0.007751146,0.0003792222,0.00132957,0.0008518301,0.001494859,0.002011046,0.001110684,0.0118562,0.001924465],"category_scores_gemma":[0.02379357,0.0005532383,0.0005617799,0.0009562379,0.00101096,0.001137893,0.0007034527,0.007542881,0.001681826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511054,"about_ca_system_score_gemma":0.003854547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201658,"about_ca_topic_score_gemma":0.05061724,"domain_scores_codex":[0.9964897,0.001862638,0.0004808641,0.0002292202,0.0006929741,0.0002445394],"domain_scores_gemma":[0.983643,0.0109392,0.0008697867,0.0005683969,0.002371278,0.001608337],"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":[0.001315622,0.0004085823,0.1461094,0.000141197,0.0002151922,0.003913928,0.0005925426,0.0001257577,0.0005852716,0.002505651,0.7959934,0.04809348],"study_design_scores_gemma":[0.004377359,0.001232905,0.3846128,0.00303535,0.001361514,0.009888395,0.006545872,0.006982646,0.001258826,0.02135775,0.5587567,0.0005898762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03229317,0.002702118,0.0003144431,0.9394367,0.01450533,0.00008184352,0.001336885,0.00003441063,0.009295134],"genre_scores_gemma":[0.1036953,0.002508337,0.001429811,0.849434,0.03113572,0.0003458941,0.0007585596,0.00005490349,0.01063746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0201658,"threshold_uncertainty_score":0.0409925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05541255171076892,"score_gpt":0.3924684868869013,"score_spread":0.3370559351761324,"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."}}