{"id":"W2901244375","doi":"10.1016/j.ijcha.2018.11.004","title":"Geographical variation and predictors of physical activity level in adults with congenital heart disease","year":2018,"lang":"en","type":"article","venue":"IJC Heart & Vasculature","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université de Montréal; Montreal Heart Institute; University Health Network","funders":"Centrum fÖr Personcentrerad Vård; KU Leuven; Hjärt-Lungfonden; Göteborgs Universitet; Cardiac Children's Foundation Taiwan","keywords":"Medicine; Variation (astronomy); Disease; Physical activity; Heart disease; Internal medicine; Pediatrics; Physical therapy","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":[],"consensus_categories":[],"category_scores_codex":[0.0008358872,0.0002121101,0.0003017765,0.0006337047,0.0002830434,0.0004806105,0.0003733234,0.0004741249,0.001519513],"category_scores_gemma":[0.003381734,0.0001576243,0.0004972362,0.00116771,0.0003175936,0.0002400038,0.0005438412,0.0004495821,0.0002286211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398567,"about_ca_system_score_gemma":0.0002082964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614181,"about_ca_topic_score_gemma":0.01197344,"domain_scores_codex":[0.9993723,0.0002037803,0.0001007335,0.0001663629,0.00008949092,0.00006730783],"domain_scores_gemma":[0.9980995,0.0004939125,0.0007891185,0.0001677701,0.0001855648,0.0002640709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002916177,0.00000747532,0.9992278,0.00001069306,0.00004872364,0.00002656587,0.00005411681,0.00003743182,0.00004211977,0.00001006112,0.00003962341,0.0004663697],"study_design_scores_gemma":[0.000001284853,0.00002215411,0.9996623,0.000004394157,0.00001335775,0.00005687782,0.0001022521,0.00007681118,0.000005977575,0.000008263139,0.00004520162,0.000001208295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980655,0.0008807799,0.00009279183,0.0001003469,0.000008735765,0.000006102608,0.0004403605,0.000004332401,0.0004010949],"genre_scores_gemma":[0.9995627,0.0001212279,0.00004115707,0.00001105054,0.000004000316,0.000002949756,0.0002200115,0.000001072841,0.00003574527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01614181,"threshold_uncertainty_score":0.03209567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045866970634886,"score_gpt":0.2594817002278185,"score_spread":0.2490230305214696,"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."}}