{"id":"W2935899441","doi":"10.2196/12407","title":"Mobile Phone Access and Preference for Technology-Assisted Aftercare Among Low-Income Caregivers of Teens Enrolled in Outpatient Substance Use Treatment: Questionnaire Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Mobile phone; mHealth; Medicine; Preference; Phone; Psychiatry; Psychology; Clinical psychology; Psychological intervention; Telecommunications","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":[0.001770761,0.0002360545,0.0004174907,0.0008163124,0.0006600888,0.00083917,0.0002813951,0.0004847788,0.001629831],"category_scores_gemma":[0.005132825,0.0002929536,0.0006566391,0.0006202267,0.0002848887,0.000613669,0.0005836208,0.0006636537,0.0002680498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587242,"about_ca_system_score_gemma":0.0005916999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005304068,"about_ca_topic_score_gemma":0.009459972,"domain_scores_codex":[0.9993431,0.0002242205,0.0001098977,0.00006580581,0.000143267,0.0001137224],"domain_scores_gemma":[0.9970773,0.0005885753,0.001387894,0.0000753705,0.000426972,0.0004438928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000378237,0.0001881842,0.9942799,0.00003283771,0.0000278622,0.00008921671,0.002524121,0.00001014858,0.0001281165,0.000009803908,0.0001576201,0.002514338],"study_design_scores_gemma":[0.00001492433,0.0004277352,0.9854385,0.00003396314,0.00002620309,0.000313379,0.01290796,0.0001328598,0.00005925559,0.00001110986,0.0006266578,0.000007481573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994366,0.00008392557,0.00003879608,0.00004850805,0.00000402077,0.00005529211,0.0001297808,0.000001322415,0.0002017431],"genre_scores_gemma":[0.9990252,0.0002138092,0.0001734845,0.0000919017,0.000007307388,0.00009671447,0.0001925361,0.000001749247,0.0001973092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005304068,"threshold_uncertainty_score":0.01054639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05481164491458122,"score_gpt":0.3569732877025754,"score_spread":0.3021616427879942,"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."}}