{"id":"W4251560398","doi":"10.1016/j.lwt.2014.10.031","title":"Preface","year":2014,"lang":"en","type":"article","venue":"LWT","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003259794,0.00002547185,0.00002984231,0.00001006682,0.00001343998,0.000007289011,0.00005737074,0.00001218383,0.0002015467],"category_scores_gemma":[0.00004096528,0.0000226063,0.000009892251,0.00004153875,0.000009712478,0.00002814768,0.00001465009,0.00002416943,0.05836659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008115499,"about_ca_system_score_gemma":5.145551e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009883694,"about_ca_topic_score_gemma":0.000008885809,"domain_scores_codex":[0.9997602,0.0000176019,0.00002719123,0.00005845782,0.00005864256,0.00007788627],"domain_scores_gemma":[0.9997962,0.0000121279,0.00001041216,0.0001487907,0.00000783616,0.00002463607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002291315,0.0000837933,0.02225597,0.00001764105,0.00001930205,0.000002397647,0.0007307651,0.0001254849,0.4274384,0.04463341,0.4891376,0.01553221],"study_design_scores_gemma":[0.0001461035,0.00001420296,0.02143512,0.000003072377,0.000002952311,0.000001305668,0.000004389721,0.0005654337,0.03321448,0.00117552,0.9433834,0.00005404965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6954222,0.00002151681,0.0003169409,0.0001276992,0.00009315736,0.00004194807,0.000003134138,0.0002174548,0.3037559],"genre_scores_gemma":[0.9942991,1.236623e-7,0.0005447455,0.00009225655,0.00006416988,0.000001955463,0.000001314824,0.00001645866,0.004979908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4542457,"threshold_uncertainty_score":0.9423666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006026835739038953,"score_gpt":0.2190536909384408,"score_spread":0.2130268551994018,"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."}}