{"id":"W2314845043","doi":"10.1055/s-0031-1299793","title":"Genetics Meets Environment: Evaluating Gene–Environment Interactions in Neurologic Diseases","year":2011,"lang":"en","type":"article","venue":"Seminars in Neurology","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Disease; Gene–environment interaction; Risk analysis (engineering); Medicine; Complex disease; Computational biology; Management science; Genetics; Biology; Gene; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01070718,0.001257798,0.002021103,0.002554386,0.0005540541,0.001735204,0.0006055626,0.0008864445,0.002374584],"category_scores_gemma":[0.01401055,0.0002863139,0.00170542,0.002120363,0.000908781,0.001386888,0.001222128,0.0009958798,0.0002648722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007074161,"about_ca_system_score_gemma":0.00118451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953674,"about_ca_topic_score_gemma":0.003757939,"domain_scores_codex":[0.9899727,0.008130554,0.0003965364,0.0004623996,0.0008522958,0.0001855575],"domain_scores_gemma":[0.9872068,0.01046969,0.001127646,0.0002426098,0.0004404045,0.0005128562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003012981,0.0003997566,0.8242572,0.001776045,0.006379505,0.001875766,0.0008468683,0.005935033,0.006302921,0.002330676,0.002008022,0.1448752],"study_design_scores_gemma":[0.0001310887,0.004518066,0.9561605,0.0004374101,0.00307963,0.003100339,0.001430358,0.006318409,0.001862918,0.01726317,0.005548364,0.0001497473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8934911,0.04913167,0.04141911,0.002508089,0.000518678,0.000546128,0.001504827,0.0002367288,0.01064352],"genre_scores_gemma":[0.9563942,0.00843343,0.03265773,0.0004146292,0.0001794012,0.0002730094,0.0003218341,0.0000555297,0.001270167],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01070718,"threshold_uncertainty_score":0.05662566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0740901572050865,"score_gpt":0.2985622142094641,"score_spread":0.2244720570043776,"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."}}