{"id":"W6958329154","doi":"10.6084/m9.figshare.25854632.v1","title":"Additional file 1 of Association of physical activity and screen time with cardiovascular disease risk in the Adolescent Brain Cognitive Development Study","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Association (psychology); Physical activity; Cognition; Disease; Screen time; Motor activity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001428745,0.001000884,0.001462689,0.001601586,0.001341204,0.001065123,0.001462877,0.001000982,0.7362328],"category_scores_gemma":[0.02350591,0.0005728837,0.001001704,0.003210233,0.0002237692,0.00151809,0.0008041101,0.001018445,0.0679656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064464,"about_ca_system_score_gemma":0.001634349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01174002,"about_ca_topic_score_gemma":0.01393831,"domain_scores_codex":[0.9991486,0.0002193715,0.0001887755,0.0001832961,0.0001255512,0.0001343817],"domain_scores_gemma":[0.9881154,0.007668464,0.001549572,0.0006238818,0.001685751,0.0003568797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001104849,0.000350747,0.01277849,0.004198881,0.0001372976,0.00008114051,0.0002101862,0.0003686753,0.00006821915,0.0008782941,0.9702733,0.009550004],"study_design_scores_gemma":[0.03222799,0.002331122,0.2781954,0.0158197,0.001329047,0.00168012,0.002561856,0.00488725,0.001048036,0.01733304,0.6421174,0.0004690066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00126145,0.00004547498,0.0003005823,0.0001411581,0.00003145682,0.0006187953,0.9959598,0.00008206881,0.001559132],"genre_scores_gemma":[0.05111036,0.0004956847,0.007180179,0.001473878,0.0003347902,0.03414871,0.87746,0.0005626956,0.0272337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7362328,"threshold_uncertainty_score":0.3762319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156093748172357,"score_gpt":0.248553932570824,"score_spread":0.2329445577535883,"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."}}