{"id":"W2063468088","doi":"10.1111/j.1601-183x.2009.00516.x","title":"Genetic architecture for hole‐board behaviors across substantial time intervals in young, middle‐aged and old mice","year":2009,"lang":"en","type":"article","venue":"Genes Brain & Behavior","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute on Aging; National Institutes of Health","keywords":"Quantitative trait locus; Biology; Trait; Analysis of variance; Genetic architecture; Inbred strain; Genetics; Genotype; Locus (genetics); Statistics; Gene; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002089326,0.0002830998,0.0002770722,0.00006717318,0.0001578002,0.00008180211,0.0002681228,0.000253703,0.0000256607],"category_scores_gemma":[0.00003912815,0.0002782288,0.000146159,0.00008060984,0.00009733913,0.000004712323,0.000100642,0.0001128068,0.000006674442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001049651,"about_ca_system_score_gemma":0.00002530902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008687926,"about_ca_topic_score_gemma":0.0003229997,"domain_scores_codex":[0.998447,0.00006087054,0.0002897226,0.0005735797,0.0001226788,0.0005061231],"domain_scores_gemma":[0.9994354,0.0000239635,0.00008244915,0.0002755308,0.00004724604,0.000135403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001549356,0.0001574598,0.02700479,0.00001570027,0.00001374745,0.00001872853,0.0007014509,0.00003434082,0.9472145,0.000002178541,0.0010577,0.02362444],"study_design_scores_gemma":[0.003792098,0.002157796,0.8297259,0.0001018141,0.0001526599,0.00015409,0.000675605,0.00004461298,0.1519359,0.00004308658,0.01013802,0.001078421],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997336,0.001064833,0.0003623563,0.0001909674,0.0001387798,0.0005125162,0.0003323449,0.00002250397,0.00003966627],"genre_scores_gemma":[0.995012,0.00009960939,0.002009906,0.0004979432,0.0001858841,0.00004231444,0.0001723147,0.00002211915,0.001957953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8027211,"threshold_uncertainty_score":0.999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447972846102528,"score_gpt":0.2591352728174602,"score_spread":0.244655544356435,"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."}}