{"id":"W2350952856","doi":"","title":"Analysis of veal grading system at home and abroad","year":2011,"lang":"en","type":"article","venue":"Meat Industry","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grading (engineering); China; European union; Business; Political science; Engineering; International trade; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0001473576,0.00008238421,0.0001976002,0.0001937086,0.00003455804,0.000003712478,0.00004363338,0.0001562305,0.00007879498],"category_scores_gemma":[0.000008799583,0.00008040641,0.00004792448,0.0003869493,0.00001932519,0.00005782862,0.00001579083,0.0001672732,0.000002744273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005704643,"about_ca_system_score_gemma":0.000002234137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001147217,"about_ca_topic_score_gemma":0.000007390014,"domain_scores_codex":[0.9995129,0.00002133,0.0001502446,0.00009799197,0.0001019921,0.0001155909],"domain_scores_gemma":[0.9997411,0.0000164614,0.00002854979,0.0001339962,0.00002044988,0.00005945473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006238393,0.00002822516,0.8564559,0.0004499618,0.001983699,0.0000209181,0.001988323,0.01331675,0.1048768,0.0005200052,0.0002271365,0.02006982],"study_design_scores_gemma":[0.001030965,0.0001010427,0.4547966,0.0001784428,0.002187699,0.00003291327,0.001810933,0.04002167,0.4973549,0.00008736042,0.001618957,0.0007786273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794381,0.0002808307,0.00932604,7.801125e-7,0.0002077101,0.00004019028,0.000004343706,0.0001377368,0.01056423],"genre_scores_gemma":[0.9972702,0.000007660353,0.00244357,0.000002256721,0.00003225116,0.000003998018,0.000001183485,0.0000113801,0.0002274747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4016594,"threshold_uncertainty_score":0.3278878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05532814363982141,"score_gpt":0.2694507061880314,"score_spread":0.21412256254821,"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."}}