{"id":"W7132888678","doi":"","title":"&quot;Next Generation&quot; Approaches in Diet Pattern Analysis: Assessing the Impact of Different Statistical Methods and Physiological Intermediate Variables","year":2016,"lang":"","type":"dissertation","venue":"TSpace","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Principal component analysis; Regression analysis; Partial least squares regression; Population; Regression; Selection (genetic algorithm); Statistical analysis; Cohort","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.02693785,0.0005975176,0.001039472,0.001540885,0.0008934776,0.003871312,0.001148844,0.0009776214,0.01105451],"category_scores_gemma":[0.05166923,0.0004342104,0.001598341,0.003369463,0.001368658,0.002316854,0.001435344,0.001483699,0.003528902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009215499,"about_ca_system_score_gemma":0.001338601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004192635,"about_ca_topic_score_gemma":0.007996766,"domain_scores_codex":[0.9926162,0.004713966,0.0003169339,0.0009724734,0.001251381,0.0001292454],"domain_scores_gemma":[0.96782,0.0231053,0.00180807,0.003663742,0.003313048,0.0002897876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002667265,0.000147137,0.01763869,0.0009178437,0.0008661453,0.0001257055,0.001014197,0.008114829,0.005651975,0.03068354,0.01936556,0.9152076],"study_design_scores_gemma":[0.0003797294,0.001514941,0.08173534,0.002014779,0.0009796111,0.0007593505,0.002008087,0.4213964,0.01525371,0.2610217,0.2123681,0.0005682599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01702868,0.004118767,0.9624356,0.00538336,0.001368422,0.0003049919,0.001898015,0.001110886,0.00635122],"genre_scores_gemma":[0.04989964,0.001859735,0.9420788,0.001058476,0.0003615805,0.0004610649,0.0008506938,0.0005115195,0.002918483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02693785,"threshold_uncertainty_score":0.1424627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598793942918087,"score_gpt":0.4575726650215472,"score_spread":0.2976932707297385,"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."}}