{"id":"W4408688508","doi":"10.2196/55379","title":"Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Smoking cessation; Wearable computer; mHealth; Intervention (counseling); Randomized controlled trial; Physical therapy; Medicine; Physical medicine and rehabilitation; Psychology; Psychological intervention; Computer science; Psychiatry; Embedded system; Internal medicine","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":[0.004155705,0.001976948,0.00344992,0.0005506657,0.0006517799,0.001391383,0.001099438,0.001893162,0.009972299],"category_scores_gemma":[0.007316047,0.0007686811,0.003015834,0.0003813909,0.001254569,0.001397536,0.001303591,0.002732561,0.001293152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007836281,"about_ca_system_score_gemma":0.001243186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009374454,"about_ca_topic_score_gemma":0.000812703,"domain_scores_codex":[0.9977223,0.001076461,0.0002300492,0.0005823682,0.0001561714,0.0002325989],"domain_scores_gemma":[0.9976925,0.0009748327,0.00040725,0.0004858421,0.0001979176,0.0002417854],"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":[0.906351,0.03893162,0.0007268191,0.001859792,0.003714715,0.00004708238,0.0001593874,0.002035505,0.005804942,0.0006418265,0.0007941244,0.03893307],"study_design_scores_gemma":[0.7379526,0.2476421,0.002724214,0.0001910115,0.003111924,0.00003579808,0.00005452957,0.0030732,0.001773822,0.001710711,0.001670375,0.00005976292],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130717,0.004231963,0.01944727,0.0008549065,0.002226038,0.05408818,0.001602222,0.0009051438,0.003572534],"genre_scores_gemma":[0.9092502,0.001210659,0.02005406,0.0008799522,0.000501506,0.06423144,0.0005629009,0.00009987815,0.003209331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009972299,"threshold_uncertainty_score":0.03336066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03889697176024833,"score_gpt":0.4095933479467158,"score_spread":0.3706963761864675,"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."}}