{"id":"W7162090791","doi":"10.82308/22131","title":"Longitudinal analysis of dietary patterns of Quebec youth","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Research methodology; Sociological research; Physical activity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008673146,0.0002902018,0.0002948047,0.001290808,0.001476323,0.000744353,0.000623205,0.0004420965,0.002111719],"category_scores_gemma":[0.001867987,0.0002402644,0.0004730429,0.00265012,0.0002365622,0.0003039316,0.0005273636,0.0004891467,0.0002873128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009039386,"about_ca_system_score_gemma":0.007239464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722921,"about_ca_topic_score_gemma":0.9784274,"domain_scores_codex":[0.9995184,0.00006850609,0.00003047783,0.0001101519,0.0001318841,0.0001405579],"domain_scores_gemma":[0.9984125,0.00008255472,0.0002284966,0.00009158417,0.0009564158,0.0002284443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005959861,0.00002146041,0.995174,0.00001919502,0.00006596908,0.00004262921,0.0005397944,0.00006563411,0.000193547,0.00004769562,0.0007948573,0.002975675],"study_design_scores_gemma":[0.000002067021,0.00001415399,0.999067,0.00001393498,0.00001434303,0.000009420124,0.0002578061,0.000110211,0.00002171613,0.000003889617,0.0004832204,0.000002316138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883865,0.0009913206,0.0003045742,0.0002645107,0.00001985827,0.00006911995,0.008303137,0.00001751684,0.001643477],"genre_scores_gemma":[0.99209,0.0005377686,0.0003911669,0.0001114605,0.000007013209,0.00009315795,0.004758824,0.000006158807,0.002004493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02770787,"threshold_uncertainty_score":0.06558567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864262087124001,"score_gpt":0.3063045930480009,"score_spread":0.2776619721767609,"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."}}