{"id":"W2920855133","doi":"","title":"L'outil bio-informatique Genes to diseases : une nouvelle approche méthodologique pour l'identification de gènes d'asthme","year":2009,"lang":"fr","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Philosophy; Biology","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":[0.004028682,0.001837662,0.002016453,0.004420057,0.0009595132,0.005217351,0.001452577,0.002252219,0.00798863],"category_scores_gemma":[0.01093438,0.0007502643,0.00248194,0.002970086,0.001118177,0.00179999,0.001729075,0.002374181,0.005331316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008194423,"about_ca_system_score_gemma":0.001787472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002736465,"about_ca_topic_score_gemma":0.003156148,"domain_scores_codex":[0.9959443,0.001346661,0.0002857814,0.001062548,0.00115171,0.000208945],"domain_scores_gemma":[0.9920196,0.005015376,0.000597617,0.001182385,0.001003724,0.0001811779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001596593,0.000389711,0.03203614,0.00498506,0.001088666,0.001231792,0.001470989,0.01039034,0.2457893,0.03169256,0.01932982,0.649999],"study_design_scores_gemma":[0.0004367555,0.0006371113,0.0347175,0.001434601,0.001340065,0.00603977,0.001266641,0.1476387,0.3675088,0.06208972,0.3763938,0.000496565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0217572,0.004046441,0.9522951,0.001208168,0.0006241216,0.0003362332,0.006283529,0.007104211,0.006344844],"genre_scores_gemma":[0.1049675,0.00427675,0.8624467,0.001690236,0.0002483605,0.001065529,0.009430184,0.00174602,0.01412871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00798863,"threshold_uncertainty_score":0.02672464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074574644653811,"score_gpt":0.2172970075156902,"score_spread":0.2065512610691521,"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."}}