{"id":"W4388444910","doi":"","title":"Colds as predictors of the onset and severity of COPD exacerbations","year":2017,"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":"Medicine; COPD; Intensive care medicine; 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":[0.000829057,0.0002472227,0.0003855665,0.0006812523,0.0003177707,0.0005823361,0.0003963794,0.0007328891,0.003046837],"category_scores_gemma":[0.00624475,0.0002560406,0.0005847823,0.0005028736,0.0002355051,0.000449601,0.0006813114,0.001087756,0.0002509977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002783235,"about_ca_system_score_gemma":0.000328558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004310818,"about_ca_topic_score_gemma":0.005104107,"domain_scores_codex":[0.9992526,0.0002612939,0.00008927205,0.0001149089,0.0001789637,0.000103057],"domain_scores_gemma":[0.9952597,0.001670332,0.001798034,0.0001995386,0.0003289458,0.0007434254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000157634,0.00002545412,0.9987718,0.00001061357,0.00002889241,0.00002544662,0.00001491805,0.00003887587,0.00009383047,0.0000077148,0.00007303589,0.0007518076],"study_design_scores_gemma":[0.000005468593,0.00005604648,0.9993692,0.000008439847,0.0000133457,0.0001000446,0.0000458805,0.0003176848,0.00001817998,0.00001443708,0.0000487909,0.000002412045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977323,0.001216546,0.00006201716,0.0001147118,0.00002122042,0.00001052519,0.0002766495,0.000004576241,0.0005615426],"genre_scores_gemma":[0.9993821,0.0001582607,0.00005775865,0.00001887573,0.00002995214,0.000005516704,0.0001963276,0.000002098807,0.0001490187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004310818,"threshold_uncertainty_score":0.01019269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536349420493565,"score_gpt":0.5270271945431817,"score_spread":0.3733922524938251,"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."}}