{"id":"W2766815401","doi":"10.1183/13993003.01034-2017","title":"A simple algorithm for the identification of clinical COPD phenotypes","year":2017,"lang":"en","type":"article","venue":"European Respiratory Journal","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Boehringer Ingelheim","keywords":"Medicine; Simple (philosophy); Identification (biology); COPD; Algorithm; Phenotype; Clinical phenotype; Internal medicine; Genetics; Computer science; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004829969,0.0001278585,0.0002955358,0.00007595201,0.000840715,0.0001583546,0.0006504257,0.00004107902,0.0002015],"category_scores_gemma":[0.002150745,0.00008664317,0.0003354537,0.00005108896,0.0005100765,0.0001768264,0.0001603321,0.0005087939,0.00009250975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006293981,"about_ca_system_score_gemma":0.0004065984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003585578,"about_ca_topic_score_gemma":0.000001497613,"domain_scores_codex":[0.9975399,0.0004449975,0.0009827634,0.0002560312,0.0005026303,0.0002736475],"domain_scores_gemma":[0.9969673,0.0002945741,0.0009167943,0.0009563921,0.0005937802,0.0002711258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003594072,0.0002290262,0.03752179,0.000101164,0.0002371044,0.0001891911,0.00006968461,0.000007643395,0.00228997,0.0001101843,0.009911209,0.9489737],"study_design_scores_gemma":[0.002446695,0.0002036407,0.8356958,0.00006335622,0.0001356525,0.00005753323,0.0001250607,0.002133785,0.0004886388,0.0001384344,0.1584236,0.00008781944],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175696,0.008154239,0.0419231,0.002347065,0.003126881,0.00273748,0.0003099336,0.00008749057,0.02374424],"genre_scores_gemma":[0.9933407,0.000184705,0.0008639244,0.0004235044,0.003787477,0.00001045053,0.000006863532,0.00007351377,0.001308805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9488858,"threshold_uncertainty_score":0.6466185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09250781159325597,"score_gpt":0.4080445189213872,"score_spread":0.3155367073281312,"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."}}