{"id":"W2752270229","doi":"10.1186/s40248-017-0104-5","title":"Case-finding for alpha1-antitrypsin deficiency in Kazakh patients with COPD","year":2017,"lang":"en","type":"article","venue":"Multidisciplinary Respiratory Medicine","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital Foundation","funders":"Università degli Studi di Pavia; European Respiratory Society; Fondazione IRCCS Policlinico San Matteo","keywords":"Alpha 1-antitrypsin deficiency; Medicine; Kazakh; COPD; Internal medicine; Intensive care medicine; Gastroenterology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002846777,0.0003721144,0.0004497157,0.000976329,0.00164812,0.0006303954,0.0004177636,0.0007975997,0.002459152],"category_scores_gemma":[0.00134619,0.0002589194,0.0003563155,0.0006024888,0.0007358813,0.0003198043,0.0005668735,0.000462885,0.0003083551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004215954,"about_ca_system_score_gemma":0.0004263217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004351834,"about_ca_topic_score_gemma":0.004434599,"domain_scores_codex":[0.9995558,0.00009772486,0.00005488145,0.0001037052,0.0000769607,0.0001108397],"domain_scores_gemma":[0.9995665,0.0001156351,0.000124557,0.0000428994,0.00005398827,0.00009648904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002590081,0.0001101622,0.8803344,0.00006102132,0.00003744208,0.1089331,0.001526275,0.000075083,0.004519225,0.0003059038,0.0005768266,0.003261458],"study_design_scores_gemma":[0.00002552974,0.0002902271,0.5704734,0.00004258475,0.00008445728,0.4234184,0.002591436,0.0004561696,0.001275708,0.0003359485,0.0009810071,0.00002509986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99856,0.0002824935,0.0001159625,0.0001662972,0.00001672216,0.000008687854,0.00004059386,0.000006981433,0.0008022747],"genre_scores_gemma":[0.9997107,0.0000678818,0.00005957635,0.00005359103,0.00001288047,0.000001554322,0.00002095733,7.876124e-7,0.00007198585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004351834,"threshold_uncertainty_score":0.008652985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04468839470326442,"score_gpt":0.3224494390490483,"score_spread":0.2777610443457839,"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."}}