{"id":"W2185045445","doi":"10.1017/s0007114515004237","title":"Evaluation of different methods to handle misreporting in obesity research: evidence from the Canadian national nutrition survey","year":2015,"lang":"en","type":"article","venue":"British Journal Of Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Cancer Care Ontario","keywords":"Overweight; Obesity; Multinomial logistic regression; Medicine; Logistic regression; Demography; National Health and Nutrition Examination Survey; Environmental health; Association (psychology); Ordered logit; Psychology; Statistics; Mathematics; Internal medicine; Population","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02547886,0.00008837222,0.0003455726,0.0002948979,0.0001964861,0.00007080637,0.0001335413,0.00009214637,0.00004250516],"category_scores_gemma":[0.02386325,0.00008249287,0.0001014482,0.0005698022,0.00008239006,0.0002042496,0.00003733247,0.0004146856,0.000002507622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595143,"about_ca_system_score_gemma":0.001057095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1568046,"about_ca_topic_score_gemma":0.4187435,"domain_scores_codex":[0.9940291,0.00210744,0.0007974034,0.0001768263,0.002651596,0.0002376585],"domain_scores_gemma":[0.9879265,0.0012505,0.0002996286,0.00009775611,0.01011183,0.0003137866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003131987,0.01258201,0.5850659,0.000532933,0.0005332468,0.0006240277,0.001732946,0.0002256554,0.01104149,0.0001766309,0.2827477,0.1016054],"study_design_scores_gemma":[0.003637596,0.0004871415,0.9704351,0.005812237,0.00008597162,0.0004117572,0.0007380904,0.0002680854,0.001459201,0.0156867,0.0008910344,0.00008702592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799698,0.01416117,0.0002019842,0.004322407,0.0002230962,0.0007981511,0.0001172373,0.00000333553,0.0002028043],"genre_scores_gemma":[0.992525,0.001084441,0.005546174,0.000133676,0.0005580534,0.00005592027,0.00008162917,0.000009331919,0.000005782935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3853692,"threshold_uncertainty_score":0.9843591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4872510579064642,"score_gpt":0.4987975662861067,"score_spread":0.01154650837964244,"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."}}