{"id":"W2591124749","doi":"10.1017/s175173111700012x","title":"Count Bayesian models for genetic analysis of in vitro embryo production traits in Guzerá cattle","year":2017,"lang":"en","type":"article","venue":"animal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"BIO (Canada); University of Guelph","funders":"","keywords":"Biology; Bayesian information criterion; Statistics; Deviance information criterion; Poisson distribution; Heritability; Count data; Goodness of fit; Bayesian probability; Mathematics; Genetics; Bayesian inference","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":[0.01284737,0.001031803,0.001681975,0.00186377,0.001134261,0.002221218,0.003546667,0.001548042,0.002720084],"category_scores_gemma":[0.02954856,0.0009770641,0.002010556,0.001517965,0.00138532,0.001407613,0.001567039,0.001969504,0.0003338922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834017,"about_ca_system_score_gemma":0.001132932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02418237,"about_ca_topic_score_gemma":0.01732303,"domain_scores_codex":[0.9955611,0.003176375,0.0001608381,0.0006010079,0.0002360556,0.0002646179],"domain_scores_gemma":[0.9806436,0.01636591,0.001350289,0.0006172193,0.000773621,0.0002492681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001111471,0.0002339145,0.06056784,0.0001959557,0.001301165,0.0004977499,0.001299006,0.8216437,0.00151763,0.06247819,0.001249824,0.04790359],"study_design_scores_gemma":[0.00009893635,0.00007028388,0.01131636,0.00005330786,0.0001131283,0.0000849622,0.0001072245,0.963109,0.0001085915,0.02443652,0.000459127,0.00004267778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6116708,0.0009948807,0.3832951,0.0008885615,0.00003996127,0.0001958295,0.0009154255,0.0003760436,0.001623351],"genre_scores_gemma":[0.9360563,0.0005792864,0.05632619,0.0001302983,0.00005765312,0.0005145163,0.001793672,0.0001214549,0.004420657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02418237,"threshold_uncertainty_score":0.06794417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693274840496675,"score_gpt":0.2637111445432459,"score_spread":0.2467783961382791,"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."}}