{"id":"W4302414029","doi":"","title":"Influence of country-level differences on COPD prevalence","year":2016,"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; Environmental health; Medicine; Demographic economics; Business; Geography; Economics; Internal 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":[0.01825186,0.0002653914,0.0007284415,0.004894104,0.0004119156,0.002123462,0.0007359185,0.0003941767,0.00228929],"category_scores_gemma":[0.07350335,0.0003506359,0.001808966,0.006706133,0.0009294137,0.001637277,0.001551969,0.000448953,0.0001799105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000584532,"about_ca_system_score_gemma":0.0008309821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006535048,"about_ca_topic_score_gemma":0.01628967,"domain_scores_codex":[0.9794214,0.01111581,0.004027537,0.002341421,0.002550772,0.0005431596],"domain_scores_gemma":[0.8841935,0.08166384,0.01951216,0.005709829,0.00756813,0.001352507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002480381,0.00002440354,0.9729075,0.00222635,0.003221682,0.0002883773,0.001269022,0.0002121809,0.0003215673,0.0004234544,0.0008914784,0.01796589],"study_design_scores_gemma":[0.00001044197,0.00003989284,0.9946897,0.0007988147,0.0008344556,0.0003478714,0.0007685086,0.0001441396,0.0001735825,0.0001777855,0.001996963,0.00001791513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8935207,0.0844164,0.002475569,0.002695854,0.0003140903,0.0001802142,0.007178605,0.00003729642,0.009181239],"genre_scores_gemma":[0.9931234,0.004632588,0.0006788076,0.0001903487,0.00005452338,0.00005519093,0.001098075,0.00002238897,0.0001446374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01825186,"threshold_uncertainty_score":0.09652615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2106411536697597,"score_gpt":0.5263742067020608,"score_spread":0.3157330530323011,"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."}}