{"id":"W2155872074","doi":"10.1111/j.1530-0277.2001.tb02168.x","title":"Genetic Selection for High and Low Alcohol Consumption in a Limited‐Access Paradigm","year":2001,"lang":"en","type":"article","venue":"Alcoholism Clinical and Experimental Research","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Alcohol; Alcohol consumption; Inbreeding; Selection (genetic algorithm); Ethanol; Selective breeding; Biology; Animal science; Genetics; Medicine; Environmental health; Computer science; Population; Biochemistry","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":[0.0009568626,0.001061233,0.0008137147,0.001816901,0.00074951,0.0004693363,0.001062836,0.0006553687,0.003994565],"category_scores_gemma":[0.0007571374,0.000442162,0.0004709761,0.0004113002,0.0008437025,0.0003858487,0.0009129916,0.001318289,0.0005195022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000541116,"about_ca_system_score_gemma":0.0006703617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392666,"about_ca_topic_score_gemma":0.005203771,"domain_scores_codex":[0.9990557,0.0001806733,0.0001004862,0.0002721299,0.0002295905,0.0001613982],"domain_scores_gemma":[0.9974967,0.0003452222,0.0006859123,0.0003402608,0.0003198967,0.0008121101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001257392,0.001775703,0.00272587,0.00004596766,0.00005537229,0.0001826016,0.0001490796,0.0000796749,0.9881521,0.0002418696,0.0002356813,0.005098678],"study_design_scores_gemma":[0.001767693,0.01634605,0.1584236,0.0001699774,0.001006213,0.004206429,0.000591247,0.006959663,0.7984547,0.0006770469,0.01112919,0.0002683697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954791,0.00009087464,0.002767364,0.00008970848,0.00002275925,0.0002066094,0.0002558847,0.0001597038,0.0009279242],"genre_scores_gemma":[0.9590582,0.0003799056,0.02549614,0.0004932146,0.00006999641,0.001381856,0.001884266,0.0004414396,0.01079497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003994565,"threshold_uncertainty_score":0.01336312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.311414872328277,"score_gpt":0.5076806246064176,"score_spread":0.1962657522781406,"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."}}