{"id":"W1513497539","doi":"","title":"The Canadian test day model using Legendre polynomials","year":2003,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legendre polynomials; Test (biology); Mathematics; Test plan; Statistics; Animal science; Biology; Ecology; Mathematical analysis","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":[0.003380831,0.001260797,0.0008257039,0.001673948,0.00151849,0.002288696,0.003126444,0.00121393,0.007703086],"category_scores_gemma":[0.01072464,0.000587228,0.00161047,0.002830563,0.001359512,0.001526393,0.0009613965,0.002167641,0.002581503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006114508,"about_ca_system_score_gemma":0.00861128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6607219,"about_ca_topic_score_gemma":0.513765,"domain_scores_codex":[0.9979954,0.0005435424,0.00005315032,0.0003125394,0.0006226047,0.0004727709],"domain_scores_gemma":[0.9961393,0.001174448,0.0002965746,0.000355235,0.001839822,0.0001946637],"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":[0.0002928677,0.00005078111,0.008235014,0.00008253097,0.0001291563,0.0002030032,0.000271617,0.780683,0.001000983,0.1422926,0.01897587,0.04778251],"study_design_scores_gemma":[0.00001956486,0.00002251252,0.002781836,0.00001170662,0.00002643103,0.00004394901,0.0000507795,0.9742634,0.000291174,0.0138824,0.008544222,0.0000618947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0634995,0.0006633989,0.9010802,0.00112847,0.0004213949,0.0002329906,0.003045528,0.00204997,0.02787854],"genre_scores_gemma":[0.7906243,0.001208091,0.1302452,0.0003511217,0.0002126138,0.0003596966,0.004845093,0.0009747076,0.07117906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3392781,"threshold_uncertainty_score":0.6825523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334014338163402,"score_gpt":0.2870575588356508,"score_spread":0.2536561250193106,"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."}}