{"id":"W2106613764","doi":"10.1093/jhered/esj004","title":"The Candidate Gene, Clock, Localizes to a Strong Spawning Time Quantitative Trait Locus Region in Rainbow Trout","year":2006,"lang":"en","type":"article","venue":"Journal of Heredity","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Quantitative trait locus; Rainbow trout; Candidate gene; Genetics; Spawn (biology); Gene; Trait; Genetic linkage; Family-based QTL mapping; Locus (genetics); Gene mapping; Chromosome; Fishery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003859001,0.0001359777,0.0001900818,0.00004666637,0.00009824886,0.00003354344,0.0002513987,0.00009645164,0.000008052067],"category_scores_gemma":[0.00009358746,0.0000974446,0.0001023534,0.00009462927,0.00008923071,0.000005996174,0.00004509364,0.0001783824,0.000004231822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003327951,"about_ca_system_score_gemma":0.0001354102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232962,"about_ca_topic_score_gemma":0.0003513577,"domain_scores_codex":[0.9988537,0.0001344531,0.0004089182,0.0001605225,0.0001858169,0.0002565705],"domain_scores_gemma":[0.9993498,0.00004984381,0.0002294799,0.0001673678,0.0001186536,0.00008487757],"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":[0.009943201,0.001428047,0.04763913,0.0001324046,0.0009252139,0.0002963395,0.003224188,0.2435614,0.3804673,0.03970466,0.2258566,0.04682154],"study_design_scores_gemma":[0.009080945,0.009358642,0.6308587,0.0003759472,0.0002676536,0.001030101,0.002625047,0.0005624305,0.09665601,0.02752198,0.2200723,0.001590241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719818,0.001640432,0.02494344,0.0004843953,0.0002970355,0.0001325657,0.00001334412,0.000003021551,0.000503983],"genre_scores_gemma":[0.9876914,0.00003373091,0.0108236,0.00008152168,0.0007457724,0.000003546758,0.000007630283,0.00001559144,0.0005971956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5832195,"threshold_uncertainty_score":0.3973676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040989992887825,"score_gpt":0.2492367865478365,"score_spread":0.2388268866189583,"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."}}