{"id":"W2913418925","doi":"10.3168/jds.2018-15470","title":"Symposium review: The choice and collection of new relevant phenotypes for fertility selection","year":2019,"lang":"en","type":"review","venue":"Journal of Dairy Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Agriculture and Agri-Food Canada; U.S. Department of Agriculture; Natural Sciences and Engineering Research Council of Canada; Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; Canadian Dairy Commission; Dairy Farmers of Canada; Agricultural Research Service; Genome Canada; Ontario Genomics; Aarhus Universitet; Genome Alberta","keywords":"Fertility; Biology; Selection (genetic algorithm); Ice calving; Insemination; Dairy cattle; Biotechnology; Herd; Artificial insemination; Pregnancy; Genetics; Animal science; Population; Medicine; Lactation; Computer science; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002702577,0.0008561899,0.002250652,0.002589779,0.0003947967,0.002552906,0.001298313,0.001875173,0.01051805],"category_scores_gemma":[0.006242466,0.0003165751,0.001225392,0.003385059,0.0005927619,0.001956798,0.0009572802,0.001921805,0.005566477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068425,"about_ca_system_score_gemma":0.003429668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181502,"about_ca_topic_score_gemma":0.001660138,"domain_scores_codex":[0.9987944,0.0003298447,0.0002366728,0.0002022634,0.000355515,0.00008123826],"domain_scores_gemma":[0.9946074,0.001836881,0.0006099698,0.0001621016,0.002452975,0.0003306078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002088031,0.00005843985,0.0003584415,0.05739642,0.0002488437,0.0001901488,0.0001134078,0.0001622945,0.002213746,0.002516979,0.1925308,0.7440016],"study_design_scores_gemma":[0.00002136002,0.00009361475,0.001092583,0.009629522,0.0002808956,0.0003546652,0.00008211852,0.00003117992,0.000373284,0.0007696708,0.9872464,0.00002467727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001769296,0.9916677,0.0003163989,0.002796065,0.002944286,0.00003820777,0.0002062815,0.00002679309,0.001827394],"genre_scores_gemma":[0.0008980039,0.9934397,0.0004456867,0.001986403,0.001496993,0.00004935671,0.0003323789,0.00001221223,0.001339287],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01051805,"threshold_uncertainty_score":0.03518635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203615478996113,"score_gpt":0.3209823262914294,"score_spread":0.2889461715014682,"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."}}