{"id":"W2095786891","doi":"10.2196/mhealth.3668","title":"Metadata Correction: Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions","year":2014,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; mHealth; Mental health; Mobile device; Computer science; Internet privacy; Mobile apps; World Wide Web; Multimedia; Psychology; Psychiatry; Psychological intervention","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":[0.002358509,0.00105343,0.001612922,0.004298675,0.002185851,0.003047925,0.002023955,0.006311962,0.09985311],"category_scores_gemma":[0.1068078,0.0008068863,0.001245261,0.002860477,0.001053434,0.002354298,0.002181034,0.005061019,0.02975655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326722,"about_ca_system_score_gemma":0.004488817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681129,"about_ca_topic_score_gemma":0.02558408,"domain_scores_codex":[0.9951526,0.0005873631,0.00141024,0.0003631412,0.002034246,0.0004522594],"domain_scores_gemma":[0.9210159,0.02638596,0.006850853,0.004640402,0.03934431,0.001762515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001850195,0.00002678585,0.001684313,0.0004756163,0.00002349063,0.0006921697,0.00009571182,0.00009689141,0.000201108,0.0005727101,0.9794608,0.01648543],"study_design_scores_gemma":[0.0002437056,0.00009637811,0.01314695,0.001758056,0.000136302,0.002974032,0.0007997818,0.002278712,0.003173623,0.002253341,0.9729869,0.0001521859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.007586241,0.002591532,0.005421575,0.2738209,0.6193004,0.0004974654,0.06270155,0.008231129,0.01984915],"genre_scores_gemma":[0.1805183,0.008005148,0.02749371,0.1867153,0.177664,0.001716075,0.04338014,0.009265131,0.3652421],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09985311,"threshold_uncertainty_score":0.334042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05426924230024667,"score_gpt":0.4065219567873123,"score_spread":0.3522527144870657,"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."}}