{"id":"W2982279240","doi":"10.2196/13712","title":"Predictors of Retention in an Adult Text Messaging Smoking Cessation Intervention Program: Cohort Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Smoking cessation; Medicine; Demography; Intervention (counseling); Logistic regression; Cohort; Nicotine replacement therapy; Odds ratio; Multinomial logistic regression; Young adult; Confidence interval; Confounding; Gerontology; Psychiatry; 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":[0.00134942,0.0002440747,0.0003113054,0.0003946949,0.0005262671,0.0007788419,0.0004466197,0.0005389762,0.001638636],"category_scores_gemma":[0.002865638,0.000284455,0.0006184779,0.0006322243,0.000140039,0.0005861936,0.0005163161,0.0008692635,0.0003063669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002887529,"about_ca_system_score_gemma":0.0005537919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099524,"about_ca_topic_score_gemma":0.01273599,"domain_scores_codex":[0.9993744,0.0001208394,0.00007108528,0.0001220407,0.0001509566,0.000160672],"domain_scores_gemma":[0.9986635,0.0001515133,0.0005398929,0.0001171305,0.000212786,0.0003151917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001663176,0.000340193,0.9975724,0.00001079611,0.00006628092,0.00002297394,0.0001415726,0.00001491132,0.0001288687,0.000006079348,0.0001329653,0.001396635],"study_design_scores_gemma":[0.00001664652,0.0004125977,0.9988638,0.00001017366,0.00004705926,0.0000478647,0.0002101467,0.0001981985,0.00004079991,0.000005902838,0.0001429562,0.000003803816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991928,0.00006601949,0.00007123223,0.00002940743,0.000004862962,0.00004639105,0.0003858078,0.000003685489,0.0001997064],"genre_scores_gemma":[0.9989919,0.00005925302,0.0001040248,0.00003976042,0.000007784247,0.00005249562,0.0004138897,0.000002492793,0.0003284157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01099524,"threshold_uncertainty_score":0.02186251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04453722871006982,"score_gpt":0.3965332797363875,"score_spread":0.3519960510263176,"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."}}