{"id":"W7097670438","doi":"","title":"1 Markers Assisted Selection for the Canadian Swine Industry","year":2015,"lang":"en","type":"article","venue":"","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Herd; Research program; Reputation; Quality (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002200224,0.0005495771,0.0004002372,0.002288499,0.002028054,0.001006832,0.001434846,0.000414842,0.008375221],"category_scores_gemma":[0.002443554,0.0003265506,0.0004765358,0.003341971,0.000313372,0.0001894275,0.0005325568,0.0006338696,0.001620479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009387512,"about_ca_system_score_gemma":0.01900704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9117125,"about_ca_topic_score_gemma":0.9688674,"domain_scores_codex":[0.9980778,0.0003442138,0.00005606642,0.0002255255,0.001107575,0.0001888339],"domain_scores_gemma":[0.9979789,0.0001804834,0.0001187535,0.0001210075,0.00138143,0.0002194457],"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":[0.001171421,0.0003476124,0.2067667,0.0002465479,0.0003787368,0.00101132,0.0006874482,0.007598163,0.04966953,0.010608,0.1124173,0.6090972],"study_design_scores_gemma":[0.0002663151,0.000436607,0.6426469,0.0001850167,0.0002709409,0.000584922,0.0003526756,0.02451864,0.007220168,0.001761483,0.3216135,0.000142839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5675427,0.009147388,0.1215039,0.006880551,0.001054836,0.003103296,0.06476303,0.003740826,0.2222634],"genre_scores_gemma":[0.6717448,0.003519769,0.202043,0.001121401,0.0001191587,0.000786686,0.03598869,0.0007979162,0.08387867],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08828753,"threshold_uncertainty_score":0.1776149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04470156083697539,"score_gpt":0.2564392499444218,"score_spread":0.2117376891074464,"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."}}