{"id":"W2951104552","doi":"10.1016/j.cmet.2019.06.006","title":"Freshly Prepared Meals and Not Ultra-Processed Foods","year":2019,"lang":"en","type":"letter","venue":"Cell Metabolism","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Food science; Chemistry; Biology; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002283669,0.0005464358,0.001273531,0.0002234669,0.00008085468,0.0001205186,0.0002524239,0.0008943366,0.0003353885],"category_scores_gemma":[0.0001099083,0.0004681504,0.0002388853,0.0001711448,0.00009601679,0.0001026525,0.00008176183,0.001571952,0.0002231544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002599725,"about_ca_system_score_gemma":0.0002283705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006258799,"about_ca_topic_score_gemma":0.000005598767,"domain_scores_codex":[0.99739,0.00006716963,0.0005203945,0.0008606797,0.0005610517,0.0006007484],"domain_scores_gemma":[0.9983091,0.0002078567,0.0002574198,0.0008720063,0.000207668,0.0001459553],"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":[0.0001684224,0.00007050086,0.0002678854,0.006128911,0.001026665,0.000269285,0.0006144138,9.010512e-7,0.0515248,0.00002156945,0.9371875,0.002719145],"study_design_scores_gemma":[0.002110473,0.00007218355,0.0004904274,0.0002616334,0.002684538,0.00005444277,0.00001559974,0.00001953763,0.01458899,0.0000390924,0.9791582,0.0005048551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06636342,0.3309647,0.0001702082,0.5123653,0.006577746,0.00496541,0.0005500151,0.000748132,0.07729504],"genre_scores_gemma":[0.1263306,0.004143541,0.002061831,0.825837,0.006865778,0.0001184898,0.0006221784,0.000326979,0.0336936],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3268211,"threshold_uncertainty_score":0.999777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329224876107643,"score_gpt":0.2597752494395956,"score_spread":0.2364830006785192,"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."}}