{"id":"W3135295952","doi":"10.7771/2380-176x.8456","title":"ATG Food and Beverage Round Up- Charleston, SC","year":2021,"lang":"en","type":"article","venue":"Against the grain","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food science; Business; Chemistry","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":[0.000252538,0.00009834094,0.0001078016,0.000003374505,0.0003669317,0.00007708125,0.0001657157,0.00004742174,0.00009918206],"category_scores_gemma":[0.00004668572,0.00003149145,0.00006187084,0.0002114998,0.00008187762,0.00007488432,0.0001162102,0.0001086941,0.00003370773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008602314,"about_ca_system_score_gemma":0.000008015379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003963683,"about_ca_topic_score_gemma":0.001214849,"domain_scores_codex":[0.999236,0.0001038255,0.0001142476,0.0002145489,0.0001190503,0.0002123571],"domain_scores_gemma":[0.9996823,0.0001101834,0.00003418703,0.00007418619,0.00003491304,0.00006420867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005436329,0.0001510898,0.001811493,0.00001429723,0.00009622941,0.00006460975,0.00152564,0.000009243754,0.2495075,0.02014259,0.007814931,0.718808],"study_design_scores_gemma":[0.0006624455,0.0007074598,0.2627404,0.00005584877,0.00002584364,0.00007416793,0.003053571,0.0001141627,0.01287338,0.01113944,0.7079675,0.0005857946],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806967,0.001059665,0.000002336609,0.01509216,0.0001738462,0.00008311663,0.00003356685,0.00003775292,0.002820883],"genre_scores_gemma":[0.995124,0.000293537,0.00001872771,0.002484435,0.0001849731,0.000006857204,0.00004846585,8.089129e-7,0.00183823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7182222,"threshold_uncertainty_score":0.2822179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136326992368131,"score_gpt":0.2017106213579646,"score_spread":0.1803473514342832,"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."}}