{"id":"W2952166052","doi":"","title":"Increasing Breeding Without Breeding (BwB) Efficiency: Full Vs. Partial-Pedigree Reconstruction in Lodgepole Pine","year":2017,"lang":"en","type":"preprint","venue":"viXra","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Offspring; Population; Biology; Microsatellite; Sampling (signal processing); Genetics; Statistics; Mathematics; Demography; Computer science; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069047,0.0002103509,0.0004220299,0.0006028851,0.0003116175,0.0005235231,0.0003567981,0.0002311101,0.0005669011],"category_scores_gemma":[0.00170243,0.0002334677,0.0002168759,0.000458623,0.0002948694,0.0002977313,0.0005292564,0.0002232345,0.0001568036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501596,"about_ca_system_score_gemma":0.0002532302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002453506,"about_ca_topic_score_gemma":0.006108787,"domain_scores_codex":[0.999625,0.0001512892,0.00001969745,0.0001175953,0.00004729979,0.00003910721],"domain_scores_gemma":[0.9988241,0.0004228629,0.0002296352,0.0003209627,0.00008074125,0.0001216384],"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":[0.001640608,0.0003028178,0.2907824,0.000254388,0.0002651552,0.0008063797,0.001450719,0.01204846,0.566974,0.001434874,0.0001863862,0.1238538],"study_design_scores_gemma":[0.00004374504,0.0006140451,0.9627514,0.00003426149,0.0001479379,0.0007591243,0.0003313364,0.01537581,0.01748243,0.000720333,0.001705885,0.0000336523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953827,0.0001065165,0.004035383,0.000007350427,0.000001528828,0.000007599712,0.0001156513,0.00003325102,0.0003098785],"genre_scores_gemma":[0.9913084,0.00008348742,0.007788484,0.00001311027,0.000003348832,0.00001743799,0.0005521172,0.00001809048,0.0002156491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002453506,"threshold_uncertainty_score":0.005653739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175149184084774,"score_gpt":0.266312342682849,"score_spread":0.2445608508420012,"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."}}