{"id":"W2059639228","doi":"10.1186/1297-9686-39-2-181","title":"Non-additive genetic effects for fertility traits in Canadian Holstein cattle (Open Access publication )","year":2007,"lang":"en","type":"article","venue":"Genetics Selection Evolution","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Biology; Fertility; Selection (genetic algorithm); Genomic selection; Biotechnology; Evolutionary biology; Genetics; Demography; Single-nucleotide polymorphism; Genotype; Computer science; Population; Gene; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002047517,0.0005297586,0.0004658859,0.002140593,0.001498255,0.0007111646,0.0009229828,0.0003077827,0.003694201],"category_scores_gemma":[0.002891258,0.0002469546,0.0008067172,0.001470678,0.0009815496,0.0002367497,0.0004627562,0.0005573236,0.0001438878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009249476,"about_ca_system_score_gemma":0.005255507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8929179,"about_ca_topic_score_gemma":0.953168,"domain_scores_codex":[0.9987374,0.0002456747,0.00004987791,0.00027287,0.0004427402,0.0002514635],"domain_scores_gemma":[0.9986213,0.0006185245,0.0001731454,0.0000966787,0.0003406415,0.0001497593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00133092,0.0001965988,0.8426719,0.0002261158,0.001413007,0.001368771,0.002119112,0.006447859,0.02828485,0.006347809,0.002042863,0.1075504],"study_design_scores_gemma":[0.00001352907,0.00005009359,0.9958682,0.00001157301,0.0001210021,0.0001336355,0.0001616463,0.001855432,0.0004102281,0.0003394679,0.001014879,0.00002017995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992089,0.001084901,0.002937795,0.0002349113,0.00002240987,0.00002801322,0.001503837,0.00006063811,0.002038498],"genre_scores_gemma":[0.9922808,0.0005443768,0.003432376,0.00005030542,0.00001051533,0.00001388953,0.000727233,0.00003204344,0.002908341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1070821,"threshold_uncertainty_score":0.2154255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145845277196461,"score_gpt":0.297305581297291,"score_spread":0.2827210535776449,"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."}}