{"id":"W2167067711","doi":"10.1002/cjs.10116","title":"Measurement error modeling and nutritional epidemiology association analyses","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Nutritional epidemiology; Confounding; Epidemiology; Environmental epidemiology; Body mass index; Association (psychology); Environmental health; Estimation; Medicine; Gerontology; Psychology; Engineering; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1657756,0.002476054,0.003689851,0.003504298,0.001584942,0.004349434,0.004518838,0.004066288,0.003606708],"category_scores_gemma":[0.3907844,0.001169769,0.004392189,0.007802046,0.003839364,0.003140891,0.003622105,0.005817411,0.0007286817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00285112,"about_ca_system_score_gemma":0.00523667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01457821,"about_ca_topic_score_gemma":0.007780547,"domain_scores_codex":[0.7425249,0.2339334,0.005443801,0.007780555,0.008534655,0.001782598],"domain_scores_gemma":[0.574385,0.3884045,0.01309208,0.01657154,0.00698405,0.0005627743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007368252,0.0002476817,0.0666519,0.001652024,0.005867811,0.000895601,0.001420702,0.1497609,0.0003500585,0.5888984,0.01089906,0.1726192],"study_design_scores_gemma":[0.0002331555,0.0003593055,0.01265843,0.0006123167,0.00136944,0.0004148743,0.0004178657,0.4287146,0.000609195,0.5363124,0.01813511,0.0001633506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006090949,0.002761235,0.9848076,0.003274635,0.0005445648,0.0003175515,0.0005667705,0.0002999727,0.0013366],"genre_scores_gemma":[0.3232145,0.006079662,0.6545857,0.002501221,0.001557114,0.003942737,0.001667554,0.0003520409,0.006099422],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1657756,"threshold_uncertainty_score":0.8767157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3234673385488874,"score_gpt":0.3537028330290131,"score_spread":0.03023549448012569,"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."}}