{"id":"W7161792018","doi":"10.82308/467","title":"Genetic variability of growth curves in dairy heifers","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heritability; Body weight; Quartic function; Legendre polynomials; Genetic correlation; Genetic variability; Linear regression; Growth curve (statistics); Additive genetic effects; Genetic variation","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":[0.0008759184,0.0001563466,0.0002535762,0.001072516,0.0002444674,0.0003342273,0.0002206495,0.0001381213,0.0006311219],"category_scores_gemma":[0.001321469,0.000103041,0.000147699,0.001011958,0.0003187271,0.0001397096,0.000146909,0.0001724449,0.00009694228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009432121,"about_ca_system_score_gemma":0.0003931492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08916706,"about_ca_topic_score_gemma":0.1419776,"domain_scores_codex":[0.9995005,0.0001443006,0.00002040812,0.0001316521,0.0001362599,0.00006689881],"domain_scores_gemma":[0.999114,0.000393477,0.0001860494,0.00006309991,0.0001742982,0.0000691238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003105874,0.00002753971,0.9740446,0.00001231948,0.0001219465,0.0001599714,0.0005064851,0.001245598,0.01239596,0.00009556565,0.0000882189,0.01099118],"study_design_scores_gemma":[0.000001366319,0.00002157305,0.9992533,0.000001830185,0.000004531775,0.00004698916,0.00005011271,0.0003953759,0.0001331907,0.00001347097,0.00007498849,0.000003089329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994102,0.00006973906,0.0002198307,0.000003105977,4.414663e-7,0.000001641984,0.0001390159,0.000003209762,0.0001528567],"genre_scores_gemma":[0.9992023,0.00004337587,0.0001984721,0.000003249856,0.000001055111,0.000002425902,0.0003334335,0.000004230567,0.0002114179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08916706,"threshold_uncertainty_score":0.1772961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005965506626218389,"score_gpt":0.2397845346817262,"score_spread":0.2338190280555078,"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."}}