{"id":"W4313537246","doi":"10.24925/turjaf.v10isp2.2977-2981.5683","title":"Determination of Chemical and Microbiological Quality in Commercial Tahini Samples","year":2022,"lang":"en","type":"article","venue":"Turkish Journal of Agriculture - Food Science and Technology","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; Ingredient; Context (archaeology); Chemistry; Geography","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":[0.001252154,0.0000998226,0.0002913309,0.00009371471,0.0002198609,0.00002149892,0.0004560173,0.0001035851,0.00002250315],"category_scores_gemma":[0.0002563042,0.00003872485,0.00003971486,0.001299372,0.0007211423,0.0001538946,0.0003305576,0.0003874188,1.217747e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004010653,"about_ca_system_score_gemma":0.00002809643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002503544,"about_ca_topic_score_gemma":0.00009825892,"domain_scores_codex":[0.9987888,0.0000837367,0.0004174844,0.0002090746,0.0002861868,0.0002146966],"domain_scores_gemma":[0.9992467,0.0001172996,0.0003201532,0.00003664659,0.0002201389,0.00005906311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005291803,0.0001244022,0.005167134,0.000004412642,0.000003650078,0.00000578612,0.0001113082,5.345763e-7,0.9320944,0.002488761,0.00007499826,0.05987173],"study_design_scores_gemma":[0.00168124,0.01078255,0.6380242,0.00007062402,0.00004256433,0.002599809,0.009745275,0.00001790118,0.303349,0.01944721,0.01361227,0.0006274218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933631,0.0005655938,0.000001378044,0.005811049,0.00006531026,0.00008505192,0.00003214098,0.00001083496,0.00006557307],"genre_scores_gemma":[0.9993842,0.00006173226,0.0003960209,0.0001096336,0.00003801965,0.000003401671,0.000004449646,3.493008e-7,0.000002236492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.632857,"threshold_uncertainty_score":0.2657079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349295841060252,"score_gpt":0.2448408417074018,"score_spread":0.2213478832967993,"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."}}