{"id":"W3216097300","doi":"10.14288/1.0403787","title":"The effects of temporal heterogeneity in genetic covariance","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","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":"Covariance; Econometrics; Statistics; Economics; Mathematics","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":[0.004125537,0.0002895269,0.0005130072,0.0004391504,0.0004498308,0.001306146,0.0004875958,0.0004785702,0.00224539],"category_scores_gemma":[0.01031906,0.000327904,0.0009466778,0.0006428472,0.001197756,0.001058183,0.001101673,0.0009329973,0.0002440275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105003,"about_ca_system_score_gemma":0.000831378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0054757,"about_ca_topic_score_gemma":0.007474685,"domain_scores_codex":[0.9976785,0.0008687398,0.0001607246,0.0006871131,0.0004091627,0.0001959227],"domain_scores_gemma":[0.9919595,0.004170774,0.001423847,0.001862259,0.0003428726,0.0002406082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008258166,0.0003616604,0.5739856,0.0003264938,0.002144688,0.001324923,0.00102724,0.09315578,0.1352582,0.1006806,0.001856469,0.08905259],"study_design_scores_gemma":[0.00008068988,0.0003522571,0.7701834,0.00004566571,0.0005478169,0.0009369514,0.0005117335,0.1489616,0.009498117,0.06499888,0.003754247,0.0001286448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918639,0.0005979781,0.07184937,0.0009371451,0.00008511802,0.00004291987,0.0004520763,0.0001981191,0.007198345],"genre_scores_gemma":[0.9968143,0.0001085026,0.002012039,0.00008621007,0.00001215247,0.00001705601,0.00008995276,0.00003140535,0.0008284913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0054757,"threshold_uncertainty_score":0.02181816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004291862122808555,"score_gpt":0.1744274093374633,"score_spread":0.1701355472146547,"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."}}