{"id":"W2350521198","doi":"","title":"Measures of Genetic Connectedness Between Herds in Swine Under Mixed Linear Models","year":2000,"lang":"en","type":"article","venue":"HEREDITAS(BEIJING)","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social connectedness; Herd; Mixed model; Statistics; Variance components; Linear model; Variance (accounting); Genetic data; Genetic variation; Mathematics; Biology; Animal science; Demography; Psychology; Genetics; Social psychology; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002516471,0.0002227331,0.00049394,0.0001574245,0.0000396442,0.00001033988,0.0002593721,0.0005082639,0.000143158],"category_scores_gemma":[0.00002841162,0.0002277029,0.00007703294,0.0003697238,0.00006862349,0.0001020161,0.00001772031,0.0003914196,0.00004932066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000714799,"about_ca_system_score_gemma":0.00004100046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001244945,"about_ca_topic_score_gemma":0.0001025358,"domain_scores_codex":[0.9985418,0.00007515356,0.000559954,0.0002222995,0.0002148526,0.0003859145],"domain_scores_gemma":[0.9994015,0.00008954816,0.00004947698,0.0003435976,0.00005243452,0.00006351645],"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":[0.0001586776,0.0001556619,0.01828867,0.0002582934,0.0006592004,0.0001022584,0.0005061993,0.8605065,0.00733655,0.001838091,0.003634726,0.1065552],"study_design_scores_gemma":[0.02443074,0.001065671,0.1002777,0.001967079,0.0007113673,0.0001457704,0.002294977,0.7769575,0.03272825,0.02442784,0.03045947,0.004533622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897804,0.001407036,0.003550255,0.00009065181,0.0005564155,0.0002946076,0.00003580885,0.0003872844,0.003897504],"genre_scores_gemma":[0.9989087,0.00003913952,0.0001858389,0.00001188714,0.0006011798,0.00003495945,0.0000130191,0.00004848074,0.0001567947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1020216,"threshold_uncertainty_score":0.9285454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878069822726009,"score_gpt":0.2230551317203579,"score_spread":0.1842744334930978,"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."}}