{"id":"W1982839620","doi":"10.1097/fpc.0b013e32832e2ced","title":"A systems biology network model for genetic association studies of nicotine addiction and treatment","year":2009,"lang":"en","type":"article","venue":"Pharmacogenetics and Genomics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"National Institute on Drug Abuse","keywords":"Ontology; Computer science; Genome-wide association study; Data science; Systems biology; Genetic association; Leverage (statistics); Bioinformatics; Artificial intelligence; Biology; Genetics","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":[0.002074059,0.0008494079,0.0005346345,0.002067385,0.0009894557,0.002237575,0.001837051,0.001479714,0.006596255],"category_scores_gemma":[0.006232218,0.0004005807,0.002038592,0.002261142,0.001151096,0.002398654,0.001493637,0.00168709,0.0007790984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003340252,"about_ca_system_score_gemma":0.003199977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02018186,"about_ca_topic_score_gemma":0.02474267,"domain_scores_codex":[0.9988574,0.0005442895,0.00007084627,0.0002780176,0.0001921954,0.00005733405],"domain_scores_gemma":[0.9974259,0.001834886,0.0002297897,0.0001339876,0.0002688913,0.0001065763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007709702,0.00007284858,0.003179575,0.0002278401,0.0001679361,0.0003397696,0.0004585146,0.4251411,0.0009912435,0.5410608,0.00510916,0.02317419],"study_design_scores_gemma":[0.00003735441,0.0000215525,0.0004957169,0.00004437901,0.00008294419,0.0001033785,0.00007927031,0.7340136,0.0001372066,0.2464418,0.01852627,0.00001644846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01031062,0.0005926359,0.9666092,0.004243452,0.0001486032,0.0002048447,0.003657641,0.0004559035,0.01377707],"genre_scores_gemma":[0.3327085,0.002346578,0.6406192,0.0009694628,0.0002078343,0.002114741,0.004951633,0.0001317636,0.01595032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02018186,"threshold_uncertainty_score":0.04012877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04373480546693839,"score_gpt":0.3357536298030357,"score_spread":0.2920188243360973,"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."}}