{"id":"W3022723132","doi":"10.2196/17450","title":"Developing Empirical Decision Points to Improve the Timing of Adaptive Digital Health Physical Activity Interventions in Youth: Survival Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Society of Pediatric Psychology","keywords":"Psychological intervention; Intervention (counseling); Physical activity; Hazard ratio; Psychology; mHealth; Odds; Gerontology; Medicine; Physical therapy; Applied psychology; Confidence interval; Statistics; Mathematics; Logistic regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03181295,0.0008209614,0.0009211637,0.002598051,0.0004306491,0.001480027,0.0009639201,0.0006806014,0.004107024],"category_scores_gemma":[0.09820379,0.0004361065,0.001860019,0.001803997,0.0005153259,0.00155536,0.001514437,0.001600614,0.0003113051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376464,"about_ca_system_score_gemma":0.002608693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006987554,"about_ca_topic_score_gemma":0.006926338,"domain_scores_codex":[0.9907459,0.007138364,0.0005882173,0.0006964069,0.0005691661,0.0002620514],"domain_scores_gemma":[0.9000931,0.08681956,0.007246658,0.002194842,0.002849369,0.000796539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001886085,0.0009917007,0.6096285,0.001000149,0.001747127,0.00009346578,0.001322894,0.08705749,0.00055821,0.007219866,0.002608818,0.2858856],"study_design_scores_gemma":[0.0004244795,0.002554676,0.223499,0.001051132,0.001413408,0.00008162145,0.001815301,0.7410854,0.00229611,0.02137824,0.004272598,0.0001279609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6368915,0.001405984,0.3517558,0.001814299,0.0001087607,0.001387617,0.002701306,0.0005995613,0.003335085],"genre_scores_gemma":[0.8944516,0.0003894074,0.1028942,0.0001012709,0.0000317327,0.0007693014,0.0009943022,0.0000313982,0.0003366932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03181295,"threshold_uncertainty_score":0.168245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2923625002865436,"score_gpt":0.4817593192691125,"score_spread":0.1893968189825689,"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."}}