{"id":"W2552731585","doi":"10.3390/nu8110724","title":"Development of a Web-Based 24-h Dietary Recall for a French-Canadian Population","year":2016,"lang":"en","type":"article","venue":"Nutrients","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Respondent; Usability; Recall; Population; Context (archaeology); Medicine; Gerontology; Computer science; Environmental health; Psychology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007671858,0.00007202811,0.0001533275,0.0000889966,0.00007665926,0.000001902698,0.00003456316,0.00004745178,0.00006638371],"category_scores_gemma":[0.00007362582,0.0000495846,0.00005999449,0.00007969008,0.00001905214,0.00002248525,0.000008774579,0.0000208463,0.00001444049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563841,"about_ca_system_score_gemma":0.0001449377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360713,"about_ca_topic_score_gemma":0.005735471,"domain_scores_codex":[0.9993232,0.000005358588,0.0002039255,0.0001339151,0.0001591921,0.0001744478],"domain_scores_gemma":[0.9995602,0.00004079555,0.000048679,0.0000906165,0.0001186329,0.0001410668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001247925,0.001210659,0.7411849,0.0005733091,0.0002287181,0.00001148469,0.0001753103,5.951933e-7,0.007076845,0.0005571984,0.1239616,0.1237714],"study_design_scores_gemma":[0.005621935,0.0001999746,0.6429787,0.0003921021,0.00003038379,7.829788e-7,0.00001354644,0.00002326902,0.001424584,0.0005479152,0.3486727,0.00009403348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993759,0.0001797179,0.0003572472,0.003726721,0.0002310672,0.0006083639,0.0001429439,0.00002208234,0.0009728799],"genre_scores_gemma":[0.9854371,0.00001536636,0.01351961,0.0003763116,0.00007114623,0.00008143218,0.0001291169,0.000009206997,0.0003607195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2247111,"threshold_uncertainty_score":0.3200528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03874121876046006,"score_gpt":0.2743977046741541,"score_spread":0.235656485913694,"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."}}