{"id":"W2910398525","doi":"10.2196/11394","title":"Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Physical Activity and Health","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Queen's University; Medical Research Council; Public Health Research Programme; Public Health Agency; Cancer Research UK; Queen's University Belfast; National Institute for Health and Care Research; Department for the Economy; United Kingdom Clinical Research Collaboration; British Heart Foundation; Wellcome Trust","keywords":"Randomized controlled trial; The Internet; Incentive; Intervention (counseling); Process (computing); Cluster (spacecraft); Psychology; Computer science; Medicine; World Wide Web; Economics; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008518543,0.0002237124,0.003811199,0.0007848934,0.00002808812,0.00003302337,0.0004720382,0.0001545182,0.0005100285],"category_scores_gemma":[0.001997607,0.0001183545,0.0009155955,0.0006211294,0.0005879158,0.0002224417,0.0001160981,0.001904297,0.000002592775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834009,"about_ca_system_score_gemma":0.0005873868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008876612,"about_ca_topic_score_gemma":0.0001287735,"domain_scores_codex":[0.9909722,0.002756001,0.001163381,0.0003359207,0.004426851,0.0003456433],"domain_scores_gemma":[0.9926746,0.004319112,0.001327752,0.0002838256,0.0009889805,0.0004056509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9629534,0.01715185,0.01043954,0.0003257168,0.004838389,0.00005739586,0.001529223,0.00008038899,0.0004741946,0.00005047552,0.00002319176,0.002076264],"study_design_scores_gemma":[0.7965771,0.01340818,0.01898437,0.002509923,0.001437015,0.000003849309,0.0004163619,0.1629572,0.003546664,0.00004877931,0.000007486859,0.0001030422],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924062,0.00002435736,0.004379436,0.0006608567,0.0001236634,0.002282035,0.00001092209,0.000007592376,0.0001048784],"genre_scores_gemma":[0.9993901,0.000009531776,0.0001406468,0.00003511531,0.0002761652,0.00005139321,0.00001914007,0.00001722985,0.00006065234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1663763,"threshold_uncertainty_score":0.8273327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08378574093875216,"score_gpt":0.434087735245191,"score_spread":0.3503019943064388,"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."}}