{"id":"W2102516751","doi":"10.1186/1471-2458-11-485","title":"International children's accelerometry database (ICAD): Design and methods","year":2011,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Physical Activity and Health","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"World Cancer Research Fund; Economic and Social Research Council; Medical Research Council; Centers for Disease Control and Prevention; Diabetes UK; Stroke Association; Wellcome Trust; British Heart Foundation; Cancer Research UK","keywords":"Biostatistics; Medicine; Raw data; Accelerometer; Anthropometry; Pooling; Physical activity; Epidemiology; Environmental health; Physical therapy; Statistics; Computer science; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002128365,0.0001259986,0.0003498051,0.0002135971,0.0001214693,0.00002810406,0.0001472603,0.00006563618,0.0003658967],"category_scores_gemma":[0.0004376766,0.0001062143,0.00004439256,0.000282143,0.00007961742,0.0003837771,0.0001121912,0.0003360778,0.00002918389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344673,"about_ca_system_score_gemma":0.00089671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000450377,"about_ca_topic_score_gemma":0.000007130581,"domain_scores_codex":[0.998301,0.0004225399,0.000278445,0.0003354187,0.0002370704,0.0004255623],"domain_scores_gemma":[0.9984878,0.0002319949,0.0001208838,0.0003009905,0.00006223773,0.0007960642],"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":[0.0005675627,0.00643573,0.1622073,0.000738273,0.0002810967,0.00001278782,0.002646073,3.144823e-7,0.0009613571,0.03705512,0.01339734,0.7756971],"study_design_scores_gemma":[0.002014171,0.001010307,0.9707088,0.00007487847,0.00001964188,0.0001442729,0.0001029702,0.001107073,0.000524207,0.001061547,0.02301218,0.0002199613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1768543,0.0002656291,0.8001242,0.0135587,0.0003045057,0.001024152,0.00005008167,0.0002028136,0.007615631],"genre_scores_gemma":[0.5282887,0.0003407667,0.4673086,0.003543579,0.0002924089,0.00002431633,0.00007470992,0.00001977247,0.0001071403],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8085015,"threshold_uncertainty_score":0.4331293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2868626921094828,"score_gpt":0.4407571709664641,"score_spread":0.1538944788569813,"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."}}