{"id":"W7000584626","doi":"","title":"Fit of different functions to the individual
\\ndeviations in random regression test day
\\nmodels for milk yield in dairy cattle","year":2007,"lang":"en","type":"article","venue":"UnissResearch (Università degli Studi di Sassari)","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":"Dairy cattle; Lactation; Legendre polynomials; Yield (engineering); Interval (graph theory); Regression analysis; Random effects model","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":[0.01783884,0.001319782,0.001422097,0.001672467,0.0006123684,0.001537824,0.003244318,0.002479979,0.005438612],"category_scores_gemma":[0.03964261,0.0008329719,0.005801534,0.001308543,0.001451611,0.001106053,0.001288098,0.002374276,0.001621669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002491183,"about_ca_system_score_gemma":0.001520611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02753044,"about_ca_topic_score_gemma":0.02020905,"domain_scores_codex":[0.9920065,0.005621186,0.0002929727,0.001174152,0.0002991506,0.0006060498],"domain_scores_gemma":[0.9763105,0.01899441,0.00103881,0.00231113,0.0008634239,0.0004816515],"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":[0.001773863,0.0003295126,0.1359501,0.0002025705,0.001786965,0.0004514676,0.0008744758,0.8097864,0.00354602,0.005814101,0.001493286,0.03799122],"study_design_scores_gemma":[0.00009949321,0.0002793844,0.03777814,0.0000298936,0.0001763205,0.0001624178,0.0002084738,0.9576779,0.0008275791,0.001961916,0.000729362,0.00006906332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8682469,0.0002161411,0.1282797,0.0003220208,0.00004035674,0.000123743,0.0008136639,0.001007383,0.0009501833],"genre_scores_gemma":[0.9780278,0.000071359,0.01623727,0.00007177697,0.000009624437,0.000209802,0.00200345,0.0003502453,0.003018673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02753044,"threshold_uncertainty_score":0.09434199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04750608666810548,"score_gpt":0.2939010388781877,"score_spread":0.2463949522100823,"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."}}