{"id":"W2340988252","doi":"","title":"EQUAÇÕES DE PREDIÇÃO PARA VALORES DE PROTEÍNA E ENERGIA DIGESTÍVEIS EM ALIMENTOS DE ORIGEM ANIMAL PARA TILÁPIAS","year":2010,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics","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":[0.002492786,0.0006999296,0.0005465757,0.000502409,0.0001999885,0.0008721506,0.0004949633,0.0006406082,0.001096379],"category_scores_gemma":[0.006936086,0.0004109063,0.0006024422,0.000287446,0.0003483533,0.0007645069,0.0004726149,0.0004274203,0.0002557503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009401306,"about_ca_system_score_gemma":0.0008593095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007437122,"about_ca_topic_score_gemma":0.008039764,"domain_scores_codex":[0.99963,0.0001571353,0.00002250822,0.00008736905,0.00006850367,0.0000344938],"domain_scores_gemma":[0.9971854,0.002338916,0.0001987684,0.00004750189,0.0002022601,0.00002719635],"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":[0.0001525776,0.00008915854,0.01654029,0.0001798282,0.0001258954,0.00004625241,0.00007353395,0.9424244,0.004346303,0.001317431,0.0001538545,0.03455047],"study_design_scores_gemma":[0.000007350039,0.0001257067,0.004915125,0.00002046908,0.00003758817,0.00003205608,0.00002974856,0.991931,0.00131059,0.001213788,0.0003668396,0.000009712652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6685259,0.002158529,0.3251623,0.0003890726,0.00002289436,0.0000575607,0.000231362,0.0004123834,0.003039988],"genre_scores_gemma":[0.9688335,0.0004779587,0.02874566,0.00003127031,0.000009518133,0.00007770634,0.0001483236,0.00005348034,0.001622693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007437122,"threshold_uncertainty_score":0.01478761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793847795844721,"score_gpt":0.2426423417162716,"score_spread":0.2247038637578244,"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."}}