{"id":"W2043159250","doi":"10.4141/a04-012","title":"Impact of the relative emphasis on growth and litter size in a maternal index for selecting sheep","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Litter; Index (typography); Selection (genetic algorithm); Index selection; Animal science; Biology; Biotechnology; Statistics; Mathematics; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001078551,0.0003837113,0.0001448824,0.0003726595,0.000105273,0.0003442286,0.0001985248,0.0002326092,0.0004590851],"category_scores_gemma":[0.002363125,0.0000716545,0.0001089252,0.000223896,0.0003281444,0.0001015565,0.0002271025,0.0002899913,0.00007002685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005132121,"about_ca_system_score_gemma":0.0002994267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424436,"about_ca_topic_score_gemma":0.003400094,"domain_scores_codex":[0.9991731,0.0004673296,0.00003598305,0.00008528759,0.0001972037,0.00004101767],"domain_scores_gemma":[0.9984728,0.0009120126,0.0002589176,0.00007814927,0.0001316597,0.0001465385],"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":[0.003603588,0.0004851123,0.2845315,0.0001188541,0.0003237105,0.0006192135,0.0002730897,0.009371131,0.6539616,0.001504748,0.0001620528,0.04504542],"study_design_scores_gemma":[0.00006158389,0.003627056,0.9258188,0.00002242407,0.0002658318,0.0005822186,0.0001030804,0.01392466,0.05452412,0.0003840056,0.0006609776,0.00002526041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989158,0.00004420676,0.0005872902,0.00002621705,0.000001776102,0.000002263009,0.00001984521,0.000003959588,0.0003985049],"genre_scores_gemma":[0.9985488,0.00003359289,0.001189506,0.00001343948,0.000002380434,0.000002988941,0.000035032,0.000003742949,0.0001704196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001424436,"threshold_uncertainty_score":0.005703986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009089660050692939,"score_gpt":0.2529782220860183,"score_spread":0.2438885620353253,"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."}}