{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003006092,0.0007061511,0.0006806334,0.00007564182,0.0005847881,0.0003634829,0.001205755,0.0005421991,0.005211703],"category_scores_gemma":[0.0001211835,0.0003764403,0.000444696,0.001127424,0.000572562,0.001085579,0.000300225,0.0009174126,0.0002516604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008309073,"about_ca_system_score_gemma":0.0002327839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009067164,"about_ca_topic_score_gemma":0.0005647393,"domain_scores_codex":[0.9957268,0.0004712501,0.0006363325,0.0009801993,0.0005371973,0.001648206],"domain_scores_gemma":[0.9977332,0.0003173616,0.0004400037,0.0003162095,0.00006859594,0.001124624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006101119,0.0011512,0.4474408,0.00007897177,0.0002391078,0.0002247492,0.00229014,0.00001137205,0.4449873,0.00280527,0.08658467,0.01357629],"study_design_scores_gemma":[0.0006036693,0.001971585,0.8661326,0.00009751002,0.0001312299,0.00007076185,0.002517305,0.0004538369,0.0763331,0.001098415,0.04953795,0.001052038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838649,0.0005826547,0.00008522285,0.0125407,0.0001704471,0.0007144982,0.0002241778,0.0004347562,0.001382644],"genre_scores_gemma":[0.9837846,0.000536621,0.002697981,0.00430634,0.001896989,0.000211932,0.00021563,0.00002666923,0.006323265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4186918,"threshold_uncertainty_score":0.9998688,"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."}}