{"id":"W6989279313","doi":"","title":"Approches en génomique et bio-informatique afin de comprendre les bases moléculaires de la maladie pulmonaire obstructive chronique","year":2019,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health; Canadian Institutes of Health Research; Canadian Lung Association; British Columbia Lung Association; AstraZeneca Canada; Reseau canadien de recherche respiratoire; Canadian Thoracic Society; Fonds de Recherche du Québec - Santé; Université Laval; Heart and Stroke Foundation of Canada; GlaxoSmithKline; Cancer Research Society; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; AstraZeneca","keywords":"Population; Lung disease; Medical screening","routes":{"ca_aff":false,"ca_fund":true,"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":[0.009931996,0.002048466,0.002118776,0.004739893,0.001215022,0.00822285,0.00251284,0.002765285,0.02322818],"category_scores_gemma":[0.02677173,0.0009361454,0.002976587,0.004763952,0.001308834,0.004884469,0.002465714,0.002952447,0.0111165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210134,"about_ca_system_score_gemma":0.004670225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208943,"about_ca_topic_score_gemma":0.01165841,"domain_scores_codex":[0.9931896,0.002747233,0.0004236192,0.001670314,0.001628307,0.0003408199],"domain_scores_gemma":[0.9862757,0.007143408,0.000848126,0.001997093,0.003402975,0.0003327272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009718549,0.0002494583,0.02855437,0.003614486,0.001362705,0.0007877905,0.0009271276,0.02188335,0.01730585,0.04368914,0.0383178,0.8423359],"study_design_scores_gemma":[0.0003522473,0.0007348921,0.02631235,0.003438199,0.002098091,0.002499238,0.002181061,0.1053685,0.02915122,0.1599452,0.6674321,0.0004868424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02620243,0.07183383,0.7863339,0.02611054,0.004184942,0.0007852887,0.01273952,0.01115436,0.06065533],"genre_scores_gemma":[0.227316,0.07115982,0.616801,0.009938559,0.002415344,0.001424516,0.02462394,0.002076446,0.04424444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02322818,"threshold_uncertainty_score":0.07770598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00589067968983107,"score_gpt":0.1944875705415925,"score_spread":0.1885968908517615,"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."}}