{"id":"W4405839149","doi":"","title":"Health characteristics of patients with asthma, COPD and asthma–COPD overlap in the NHANES database","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"COPD; Asthma; Medicine; Internal medicine; Intensive care medicine","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":[0.0007511342,0.000181121,0.0005551904,0.0009895816,0.0002934372,0.0004586009,0.0003649467,0.0004050647,0.001173662],"category_scores_gemma":[0.002485994,0.000274799,0.0004813342,0.002136191,0.0001462495,0.0004430056,0.000529511,0.0003426186,0.0002037037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00043042,"about_ca_system_score_gemma":0.0004482883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02465001,"about_ca_topic_score_gemma":0.0289669,"domain_scores_codex":[0.9990898,0.0001854471,0.0001911104,0.0002333264,0.000189076,0.0001111642],"domain_scores_gemma":[0.9986883,0.0003090098,0.000590327,0.0001164481,0.0001507044,0.0001451307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001200036,0.00002876555,0.9983414,0.00002590363,0.0000891313,0.00003801495,0.00005230173,0.00005408892,0.00008929746,0.00002790469,0.0005698723,0.0005633677],"study_design_scores_gemma":[0.00001187891,0.00001488848,0.9993458,0.00001017463,0.00001958729,0.00006362976,0.00009430014,0.0001301208,0.00001955214,0.00001003365,0.0002770876,0.000002890558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836683,0.0003226877,0.00008479336,0.00009779063,0.00001139452,0.00003286195,0.01495523,0.000005601728,0.0008212865],"genre_scores_gemma":[0.9848247,0.0001773166,0.0001184513,0.00008934151,0.0000163316,0.00007759483,0.01448439,0.000003528491,0.0002084245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02465001,"threshold_uncertainty_score":0.04901308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062514513447953,"score_gpt":0.4958598007985815,"score_spread":0.3896083494537862,"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."}}