{"id":"W1580534417","doi":"10.2196/mental.4370","title":"Feasibility of \"CopeSmart\": A Telemental Health App for Adolescents","year":2015,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; mHealth; Thematic analysis; Psychology; Mobile phone; Intervention (counseling); Mobile apps; Mood; Phone; Smartphone app; Applied psychology; Internet privacy; Psychological intervention; Medical education; Clinical psychology; Medicine; Qualitative research; World Wide Web; Computer science; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001392527,0.0002638003,0.0005673586,0.0001516068,0.0002015278,0.00001934991,0.0003066282,0.00008344543,0.0001408198],"category_scores_gemma":[0.00001755973,0.000270609,0.0002308306,0.0002587059,0.000143619,0.0001848471,0.0001254722,0.000184708,0.0002378216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695744,"about_ca_system_score_gemma":0.0005429822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431481,"about_ca_topic_score_gemma":0.0005159529,"domain_scores_codex":[0.9963912,0.0003037015,0.001342137,0.0005796425,0.000434867,0.0009484562],"domain_scores_gemma":[0.9977141,0.000030961,0.0006698581,0.0005324646,0.00008502762,0.0009675949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.005993909,0.0240702,0.1484209,0.006125154,0.0001411878,0.000004656782,0.01429745,0.000001123418,0.0000215451,0.02298952,0.5176913,0.2602431],"study_design_scores_gemma":[0.06876107,0.06809735,0.5574635,0.006035475,0.00004159307,0.0002988532,0.03655411,0.0001500955,0.0007203338,0.01366885,0.2460038,0.002204991],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223815,0.002908435,0.0007961618,0.01899981,0.009943954,0.02344299,0.006530435,0.0004871295,0.01450956],"genre_scores_gemma":[0.9922013,0.00000381404,0.001129711,0.002884632,0.0001168235,0.0006747952,0.000403177,0.00004950053,0.002536269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4090426,"threshold_uncertainty_score":0.9999746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154322921659336,"score_gpt":0.4887138546482935,"score_spread":0.37328156248236,"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."}}