{"id":"W4256303792","doi":"10.2165/00128415-200610900-00006","title":"Tequin: labelling updates in US, warnings in Canada","year":2006,"lang":"en","type":"article","venue":"Reactions Weekly","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Labelling; Business; Computer science; Chemistry; Biochemistry","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":[0.0001794874,0.00008723473,0.0001173752,0.00001789453,0.00007065586,0.00002006225,0.0001165215,0.000049092,0.0001940818],"category_scores_gemma":[0.0000409956,0.00004034292,0.00002475657,0.000500251,0.00002070893,0.000109089,0.00001960218,0.0001884169,0.00001563304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003930512,"about_ca_system_score_gemma":0.00006773187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883984,"about_ca_topic_score_gemma":0.9978574,"domain_scores_codex":[0.9991021,0.00005164343,0.0002415704,0.0002196068,0.0001293997,0.0002557425],"domain_scores_gemma":[0.9996413,0.0002064759,0.0000456172,0.00004909879,0.00002094787,0.00003654229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007388139,0.00010924,0.944428,0.000004891664,0.000001661593,0.000013044,0.00002279604,0.0005944258,0.04944776,0.00009715163,0.001154141,0.004119538],"study_design_scores_gemma":[0.00007398719,0.00002358036,0.9405108,0.00001421649,0.000001302781,0.000003870884,0.0003381614,0.0003742279,0.001211251,0.0003455749,0.05698886,0.0001141626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945038,0.00007580144,3.188225e-7,0.003846279,0.00007792421,0.0001076894,0.00001799089,0.00002796989,0.001342214],"genre_scores_gemma":[0.999375,0.00001090073,0.00004279651,0.00005942556,0.00007064267,0.00001370645,0.00005123754,7.075337e-7,0.0003755493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05583472,"threshold_uncertainty_score":0.212506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007075837565757137,"score_gpt":0.173597981764882,"score_spread":0.1665221441991249,"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."}}