{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01507606,0.0007224504,0.0009432439,0.003487973,0.0008736207,0.001786964,0.001057059,0.0008437423,0.0006844786],"category_scores_gemma":[0.04159395,0.0004526816,0.001342885,0.002296114,0.002271799,0.001974471,0.001900226,0.0007420867,0.00008393215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009406696,"about_ca_system_score_gemma":0.0006538689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003238213,"about_ca_topic_score_gemma":0.002763299,"domain_scores_codex":[0.9919747,0.005607754,0.0003907764,0.001202512,0.0005259513,0.0002982383],"domain_scores_gemma":[0.9304928,0.05888074,0.005564529,0.002428879,0.001492205,0.001140758],"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":[0.001894208,0.0002510821,0.5959329,0.0001388278,0.002410458,0.0008613815,0.001887139,0.3290581,0.001916876,0.02587192,0.0003544795,0.03942266],"study_design_scores_gemma":[0.00004729866,0.0004485762,0.1130905,0.00006020893,0.0003218572,0.0001992779,0.0004465017,0.8409294,0.0004883083,0.04357238,0.0003380062,0.00005770418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059489,0.0002448076,0.09311916,0.0001088716,0.00001115958,0.00003657294,0.0001134872,0.00005818905,0.000358914],"genre_scores_gemma":[0.9913936,0.00006558787,0.007997294,0.00001538398,0.00001980338,0.00005706689,0.0002484153,0.00001124819,0.000191565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01507606,"threshold_uncertainty_score":0.07973075,"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."}}