{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007476148,0.0001798926,0.000272947,0.0002507794,0.0002660392,0.0002535746,0.0002845664,0.0001636211,0.0001186733],"category_scores_gemma":[0.0003501317,0.0001690472,0.00005740834,0.0003936782,0.0008707303,0.0004103039,0.0001791872,0.0005152816,0.00004748616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004075572,"about_ca_system_score_gemma":0.00003332234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002297215,"about_ca_topic_score_gemma":0.00002400726,"domain_scores_codex":[0.9969931,0.0005008664,0.0005361996,0.0009018367,0.0004492973,0.0006187534],"domain_scores_gemma":[0.9983473,0.001078024,0.00005516452,0.000197262,0.000034209,0.0002880777],"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":[0.0008223652,0.0007028882,0.4043799,0.0000321039,0.000003868302,0.00004904578,0.0001761885,0.000004608,0.5789195,0.0007842876,0.0001672528,0.01395803],"study_design_scores_gemma":[0.004880891,0.0009741369,0.4125149,0.00007690601,0.000009009419,0.0001374582,0.00004257236,0.001080792,0.5770361,0.001845177,0.001064005,0.0003380858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977111,0.0002206012,0.00002014651,0.0005596911,0.0001722496,0.001210785,0.000009318666,0.00004266861,0.00005350171],"genre_scores_gemma":[0.996994,0.001397196,0.0001290455,0.0006776511,0.0001360414,0.0005173045,0.000002042189,0.00002930699,0.0001173686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361994,"threshold_uncertainty_score":0.6893543,"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."}}