{"id":"W2394464306","doi":"","title":"Color protection effect of spices extracts on marinated beef","year":2014,"lang":"hu","type":"article","venue":"Shipin yu fajiao gongye","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Food science; Chemistry; Pigment; Marination","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001571762,0.0004712141,0.000241236,0.0003640795,0.0001548772,0.0001853065,0.0001066205,0.0001902021,0.001284911],"category_scores_gemma":[0.0002076557,0.000161148,0.000410264,0.0001866683,0.0001834736,0.000214997,0.0001799465,0.0004062614,0.0001253033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136275,"about_ca_system_score_gemma":0.000131242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172295,"about_ca_topic_score_gemma":0.001837364,"domain_scores_codex":[0.9999179,0.00001668021,0.000006191409,0.00001511459,0.00002777699,0.00001634533],"domain_scores_gemma":[0.9998642,0.00002293557,0.00003637983,0.000009783201,0.00004107412,0.00002558855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006248578,0.00005040224,0.0006481847,0.0002021966,0.0000218227,0.00006303802,0.00005242173,0.00007093641,0.9927418,0.00002594905,0.00003071352,0.005467663],"study_design_scores_gemma":[0.00002032822,0.003355473,0.0234029,0.0000286856,0.0001235565,0.0002093375,0.0001068922,0.0004564427,0.9708251,0.00002883415,0.001426526,0.00001594522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965538,0.001753419,0.0007341363,0.00004726288,0.00001929322,0.00001998387,0.0001015311,0.00002874407,0.0007419299],"genre_scores_gemma":[0.9954196,0.001224379,0.001614541,0.00008829733,0.00001128,0.00001162356,0.0001493415,0.0000115412,0.001469402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001284911,"threshold_uncertainty_score":0.004298389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526587133360559,"score_gpt":0.260539475674737,"score_spread":0.2252736043411314,"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."}}