{"id":"W2994079203","doi":"","title":"DISCRIMINATION AND CLASSIFICATION OF POULTRY FEEDS DATA","year":2013,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linear discriminant analysis; Mathematics; Discriminant function analysis; Discriminant; Statistics; Pattern recognition (psychology); Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001497743,0.00004876942,0.0001154927,0.0001025105,0.00003718242,0.00003536333,0.0003154979,0.00006174357,0.00002059242],"category_scores_gemma":[0.0005203853,0.00003398992,0.00002836608,0.00007628256,0.00009911697,0.00001948383,0.0001962694,0.0001229823,0.000003833324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009020805,"about_ca_system_score_gemma":0.00005820601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001033906,"about_ca_topic_score_gemma":0.000002201947,"domain_scores_codex":[0.9990851,0.00008257867,0.0002888739,0.00009517194,0.0003486309,0.00009963007],"domain_scores_gemma":[0.9987745,0.00006167683,0.0002171205,0.0003104294,0.0005857174,0.00005061091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001059694,0.0001446264,0.002535617,0.00009391429,0.0000421653,3.213617e-7,0.00007858233,7.998327e-7,0.9893256,0.0003195163,0.00172451,0.005723761],"study_design_scores_gemma":[0.001474049,0.001960007,0.2031179,0.0004907366,0.0001081037,0.0002097464,0.01228766,0.008889444,0.7460748,0.02103847,0.003974581,0.0003744807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961941,0.0004631408,0.002090617,0.0005032792,0.00001420931,0.0001183911,0.000006385078,6.159055e-7,0.0006092386],"genre_scores_gemma":[0.992806,0.0004194401,0.006465183,0.0000050781,0.00008479085,0.000003230214,0.00001385855,0.000006347839,0.0001960895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2432508,"threshold_uncertainty_score":0.1386069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1647426410523729,"score_gpt":0.4114857322378034,"score_spread":0.2467430911854305,"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."}}