{"id":"W2121359407","doi":"10.1186/1479-5868-8-42","title":"Determinants of changes in dietary patterns among Chinese immigrants: a cross-sectional analysis","year":2011,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada; Simon Fraser University; Pfizer","keywords":"Immigration; Residence; Quartile; Ordered logit; Logistic regression; Demography; Ordinal regression; Body mass index; Medicine; Environmental health; Gerontology; China; Geography; Confidence interval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009656993,0.0002998058,0.0003305221,0.0007506795,0.0007757143,0.0005696904,0.0003735446,0.0004931631,0.001547625],"category_scores_gemma":[0.001297156,0.000390529,0.0006432352,0.00137816,0.0003672417,0.000297415,0.000479237,0.0004736236,0.0001937903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008058,"about_ca_system_score_gemma":0.001520228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1242868,"about_ca_topic_score_gemma":0.1245812,"domain_scores_codex":[0.9996798,0.00005485403,0.00004032881,0.00006604619,0.00008317208,0.00007582812],"domain_scores_gemma":[0.9990559,0.0001390732,0.0002593349,0.00007937466,0.0002165714,0.0002496776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003798979,0.00002336683,0.9993888,0.000005833511,0.00003607581,0.00002252555,0.0001293555,0.0000114619,0.00006629316,0.000003513255,0.0000258949,0.0002489345],"study_design_scores_gemma":[0.000003350862,0.00005399271,0.9994468,0.000002880217,0.00002005293,0.00002794565,0.0003120846,0.00006657711,0.00001460154,0.000002414721,0.00004725633,0.000001985027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994888,0.00004950003,0.0000291554,0.00001481886,0.000001943987,0.00001730168,0.0002641942,0.000001230033,0.0001331284],"genre_scores_gemma":[0.9991223,0.00007227962,0.00008825693,0.00002572701,0.000003648156,0.00003049842,0.0004915263,0.000001089549,0.0001646434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1242868,"threshold_uncertainty_score":0.2471267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06273401241553533,"score_gpt":0.410712900865884,"score_spread":0.3479788884503487,"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."}}