{"id":"W3003167243","doi":"10.14740/jocmr4021c1","title":"Correction to: Asthma Control and Its Predictive Factors in Adult Asthma Patients","year":2020,"lang":"en","type":"erratum","venue":"Journal of Clinical Medicine Research","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Asthma; Control (management); Internal medicine; Intensive care medicine; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004220775,0.003441178,0.002891646,0.004738255,0.002615381,0.004976982,0.003874614,0.00697757,0.06101563],"category_scores_gemma":[0.05980974,0.001402537,0.002806762,0.002855241,0.002094831,0.002637385,0.002030206,0.01318335,0.03514698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003597894,"about_ca_system_score_gemma":0.006798849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02162986,"about_ca_topic_score_gemma":0.02656751,"domain_scores_codex":[0.9949617,0.001023085,0.001127355,0.0006729631,0.001698166,0.0005166846],"domain_scores_gemma":[0.9670994,0.008878673,0.001841208,0.001291697,0.01856763,0.002321391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000354844,0.000006019633,0.0001020764,0.0001275374,0.00001398391,0.0001576828,0.00001357151,0.000022876,0.00001713355,0.0002488634,0.9954734,0.003781353],"study_design_scores_gemma":[0.0001488402,0.00003974245,0.001670447,0.001171055,0.0001022858,0.001548305,0.0001180329,0.0003875909,0.0002007812,0.001568186,0.9929651,0.00007961284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00006464792,0.001134026,0.0002135768,0.03927217,0.9575717,0.00001412507,0.0006850128,0.0001279932,0.0009166564],"genre_scores_gemma":[0.005751394,0.01086858,0.002532201,0.08456377,0.8222661,0.0001676496,0.002937305,0.0008491231,0.07006395],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06101563,"threshold_uncertainty_score":0.2041177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07716871125654289,"score_gpt":0.4547110480419911,"score_spread":0.3775423367854482,"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."}}