{"id":"W6962683260","doi":"10.17863/cam.83264","title":"The descriptive and aetiological epidemiology of physical activity: composition, volume, and intensity.","year":2022,"lang":"en","type":"dissertation","venue":"Apollo (University of Cambridge)","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council","keywords":"Physical activity; Obesity; Epidemiology; Population; Etiology; Public health; Energy expenditure; Body mass index","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":[0.001767089,0.000260029,0.0004477587,0.003866466,0.0003514802,0.001693529,0.0005844799,0.0004906457,0.002314159],"category_scores_gemma":[0.004965481,0.0002573568,0.0003776042,0.005939839,0.001010433,0.0006415882,0.001260819,0.0009481668,0.0005726178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007343293,"about_ca_system_score_gemma":0.001031802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008973624,"about_ca_topic_score_gemma":0.008638867,"domain_scores_codex":[0.9980847,0.0007210606,0.0002215441,0.0003404979,0.0005367842,0.00009539477],"domain_scores_gemma":[0.9968753,0.0007303829,0.001614197,0.0002906368,0.0003177109,0.0001716896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008545244,0.00007203624,0.8930702,0.001174166,0.0003544031,0.0001192257,0.001124206,0.0002026636,0.0008951873,0.01332472,0.01000518,0.07957251],"study_design_scores_gemma":[0.000005029806,0.00005385812,0.9731562,0.0003126794,0.00007721208,0.0006200483,0.0004992547,0.0002200476,0.0001201866,0.003478297,0.0214441,0.00001309781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6441863,0.2199104,0.02519945,0.01936128,0.002070948,0.0005905183,0.03386881,0.0003541163,0.05445816],"genre_scores_gemma":[0.912769,0.06204855,0.009148614,0.001396996,0.00100316,0.0004226114,0.006570109,0.00004979135,0.006591233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008973624,"threshold_uncertainty_score":0.01784277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03628881235721574,"score_gpt":0.2931756813400361,"score_spread":0.2568868689828204,"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."}}