{"id":"W2819508235","doi":"10.22256/pubvet.v6n30.1446","title":"Simulação do ganho em produtividade e associação entre características de crescimento e reprodutivas em um rebanho Nelore submetido à seleçãolt","year":2015,"lang":"pt","type":"article","venue":"PubVet","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Animal science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001526037,0.0003226459,0.0003241993,0.0004246081,0.0004083118,0.0007614357,0.000942594,0.0008269732,0.003491569],"category_scores_gemma":[0.003552919,0.0003109901,0.0004497624,0.0006316099,0.0004055465,0.0003918369,0.000477404,0.0004250671,0.0006487114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045012,"about_ca_system_score_gemma":0.0007122834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221966,"about_ca_topic_score_gemma":0.02726761,"domain_scores_codex":[0.9992566,0.0002633152,0.00002849722,0.0002440215,0.0001181463,0.0000895123],"domain_scores_gemma":[0.995507,0.002838696,0.0003746214,0.0004765828,0.0005619019,0.0002411424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004738738,0.002674095,0.7834161,0.0002193648,0.0002157098,0.0008017819,0.004457539,0.0204955,0.1436546,0.0008937259,0.0005595098,0.03787335],"study_design_scores_gemma":[0.00007573956,0.00603295,0.8717688,0.00002903913,0.0001842822,0.0004946759,0.004924319,0.06239958,0.04942944,0.0008012462,0.003779425,0.0000804236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986807,0.00001777028,0.0005802801,0.00001890441,0.000002088676,0.00001719614,0.0001733365,0.00001800395,0.0004916882],"genre_scores_gemma":[0.9963856,0.00002335008,0.001326931,0.000009003167,8.595819e-7,0.00002364394,0.0001785413,0.000008155775,0.002043901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02221966,"threshold_uncertainty_score":0.04418063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143689222777297,"score_gpt":0.2430694804139653,"score_spread":0.2216325881861923,"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."}}