{"id":"W3200514883","doi":"10.1017/jns.2021.72","title":"Categorising ultra-processed foods in large-scale cohort studies: evidence from the Nurses’ Health Studies, the Health Professionals Follow-up Study, and the Growing Up Today Study","year":2021,"lang":"en","type":"article","venue":"Journal of Nutritional Science","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Cambridge","keywords":"Dieticians; Documentation; Cohort; Health professionals; Medicine; Scale (ratio); Cohort study; Family medicine; Medical education; Psychology; Health care; Computer science; Geography; Political science; Pathology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01447961,0.0001997461,0.0008057746,0.0001016424,0.001891194,0.0001484895,0.0004939825,0.00002599561,0.00000938796],"category_scores_gemma":[0.002912286,0.00009078199,0.000116851,0.001363683,0.0006166034,0.000708604,0.0002160439,0.0007441273,6.530433e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00043034,"about_ca_system_score_gemma":0.002358833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003176608,"about_ca_topic_score_gemma":0.001410899,"domain_scores_codex":[0.9951966,0.0008599751,0.001124602,0.000441513,0.001906962,0.0004702922],"domain_scores_gemma":[0.9942509,0.003297793,0.0006103512,0.0003324189,0.001326018,0.0001825172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001561702,0.004240011,0.7975907,0.0003484822,0.002093739,0.0001612229,0.186798,0.00002902944,0.0009157102,0.0003307679,0.002522177,0.003408437],"study_design_scores_gemma":[0.008588351,0.001209058,0.4688409,0.004355443,0.0003767709,0.0002317748,0.5148224,0.00008080146,0.00008656566,0.001050832,0.0002147733,0.0001423244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7500873,0.1445456,0.00003280731,0.103178,0.0009586151,0.001180427,0.000006838291,0.000006166627,0.000004183433],"genre_scores_gemma":[0.9862431,0.007542002,0.0002692581,0.005555264,0.00029546,0.00005269939,0.00000120084,0.000009845528,0.00003114147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3287498,"threshold_uncertainty_score":0.9994082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08290984996594696,"score_gpt":0.4296566193699958,"score_spread":0.3467467694040489,"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."}}