{"id":"W2800017377","doi":"10.2196/mental.8509","title":"Harnessing Social Media to Explore Youth Social Withdrawal in Three Major Cities in China: Cross-Sectional Web Survey","year":2018,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Youth Substance Use and School Attendance","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Annenberg School for Communication and Journalism, University of Southern California; Shanghai Jiao Tong University","keywords":"Social media; Beijing; China; The Internet; Entertainment; Metropolitan area; Psychology; Web survey; Advertising; Sociology; Medicine; Business; Geography; Political science; Marketing; World Wide Web; Computer science","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":[0.0009630114,0.0003978331,0.0003148669,0.001794372,0.001083903,0.000826097,0.0004351305,0.0004676857,0.001266488],"category_scores_gemma":[0.001090094,0.0004130443,0.0004587515,0.001539725,0.0004185424,0.0008347577,0.001039064,0.0005836655,0.000187475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288505,"about_ca_system_score_gemma":0.00170269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04784549,"about_ca_topic_score_gemma":0.08241243,"domain_scores_codex":[0.9994676,0.00009059261,0.00009806998,0.00008582888,0.0001472856,0.000110754],"domain_scores_gemma":[0.9987621,0.00008852001,0.0004434324,0.00005716781,0.0002653953,0.0003833695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000131841,0.00007477755,0.9965242,0.00004604675,0.00002091247,0.00007561925,0.001304906,0.00001808787,0.0001876848,0.00002119613,0.0001613441,0.001552011],"study_design_scores_gemma":[0.000003294324,0.000049763,0.9967482,0.000013111,0.00001131722,0.00004121938,0.002758354,0.00009803389,0.00004262886,0.000009102013,0.0002202347,0.000004801394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991561,0.00005186995,0.00002942372,0.00005236488,0.000002112679,0.00006765193,0.0003456102,0.000002050933,0.0002928178],"genre_scores_gemma":[0.9987661,0.0001188507,0.0001335889,0.00008416148,0.000004112268,0.0001319071,0.000495381,0.000001530716,0.0002642825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04784549,"threshold_uncertainty_score":0.09513396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09377097241183212,"score_gpt":0.3922401485347071,"score_spread":0.298469176122875,"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."}}