{"id":"W2934282752","doi":"10.1161/circ.133.suppl_1.mp90","title":"Abstract MP90: Identifying Risk Profiles for Sedentary Behavior in Youth Using Recursive Partitioning Based on Individual, Familial, and Neighborhood Environment Factors","year":2016,"lang":"en","type":"article","venue":"Circulation","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Armand Frappier Museum; Institut National de la Recherche Scientifique; Université du Québec à Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Sedentary behavior; Obesity; Demography; Physical activity; Sedentary lifestyle; Recursive partitioning; Childhood obesity; Gerontology; Overweight; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002050313,0.0007667131,0.0006917801,0.0023047,0.0004584619,0.0008450985,0.0008570318,0.0004138077,0.002516195],"category_scores_gemma":[0.005943514,0.0002331305,0.001423063,0.001291878,0.0002114506,0.0003611976,0.0006076223,0.0004696619,0.0004524437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006743843,"about_ca_system_score_gemma":0.001343796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05906457,"about_ca_topic_score_gemma":0.04994241,"domain_scores_codex":[0.9990784,0.0004254941,0.00005780027,0.0001841547,0.000145334,0.000108825],"domain_scores_gemma":[0.9982616,0.0008437636,0.0002476101,0.0001764957,0.0003314227,0.0001390957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005445371,0.0001640196,0.9123201,0.00009973388,0.0004978656,0.0001107399,0.0003329843,0.005856847,0.001917607,0.0002757928,0.001835157,0.07604455],"study_design_scores_gemma":[0.00005932594,0.0003585244,0.9116737,0.00004501029,0.0002043194,0.000262772,0.0002677251,0.08485652,0.0006446863,0.0005660637,0.001028729,0.00003261901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543962,0.0002850931,0.0393702,0.0001559441,0.00001266237,0.0005112044,0.003873335,0.0004940987,0.0009012627],"genre_scores_gemma":[0.9617354,0.00009235836,0.0328838,0.00002441048,0.00001583544,0.0004517208,0.00414447,0.00006067752,0.0005913988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05906457,"threshold_uncertainty_score":0.1174415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0646173497814729,"score_gpt":0.2946480472639348,"score_spread":0.2300306974824619,"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."}}