{"id":"W2145654768","doi":"10.1017/s1014233900001590","title":"Genetic base and inbreeding of Canadienne, Brown Swiss, Holstein and Jersey cattle in Canada","year":2003,"lang":"en","type":"article","venue":"Animal Genetic Resources Information","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Agriculture and Agri-Food Canada","funders":"","keywords":"Inbreeding; Pedigree chart; Brown Swiss; Breed; Biology; Population; Animal science; Dairy cattle; Effective population size; Artificial insemination; Beef cattle; Herd; Demography; Biotechnology; Genetic diversity; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001076552,0.0001341044,0.0001336341,0.00006636591,0.00004899048,0.00001891917,0.00009274454,0.00007837574,0.00001345127],"category_scores_gemma":[0.00007936949,0.0001376761,0.00001557531,0.000091761,0.00009587916,0.00001056063,0.00004884335,0.00006499356,6.496572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003167633,"about_ca_system_score_gemma":0.0002471012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2496253,"about_ca_topic_score_gemma":0.4485953,"domain_scores_codex":[0.9991088,0.00004264144,0.0003395273,0.0001591273,0.0001088928,0.0002410305],"domain_scores_gemma":[0.9995459,0.0000161431,0.0001151096,0.0001576201,0.00004626345,0.000118966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002929684,0.00005427809,0.8774627,0.000480077,0.0001045383,0.000004398634,0.008104919,0.01097488,0.04501323,0.003643905,0.001397755,0.05246634],"study_design_scores_gemma":[0.0005406134,0.0003119342,0.9844264,0.0000207743,0.00001367568,0.00004317632,0.001857484,0.000180874,0.006103762,0.0001669263,0.006141059,0.0001932756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966927,0.001092054,0.0003144156,0.000029907,0.0000504481,0.0001688019,0.00001911063,0.00000232783,0.0016303],"genre_scores_gemma":[0.993355,0.00008553367,0.006332385,0.0001435638,0.00002467692,0.000009540808,0.00001142074,0.000008294286,0.00002958774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.19897,"threshold_uncertainty_score":0.7553715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005418572918065665,"score_gpt":0.1745527193488653,"score_spread":0.1691341464307997,"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."}}