{"id":"W4388697383","doi":"10.3389/fpsyt.2023.1192123","title":"Korean adolescents’ coping strategies on self-harm, ADHD, insomnia during COVID-19: text mining of social media big data","year":2023,"lang":"en","type":"article","venue":"Frontiers in Psychiatry","topic":"Mental Health via Writing","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Waypoint Centre for Mental Health Care","funders":"Office of Education","keywords":"Harm; Coronavirus disease 2019 (COVID-19); Social media; Insomnia; Psychiatry; Psychology; Clinical psychology; 2019-20 coronavirus outbreak; Coping (psychology); Medicine; Social psychology; Political science; Disease; Virology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009727266,0.0003291362,0.0005442464,0.0008067506,0.0003544537,0.00004048409,0.0009929714,0.0002999499,0.0001024354],"category_scores_gemma":[0.0001543561,0.000385159,0.00008229166,0.001104717,0.0001553177,0.000204307,0.000312131,0.0005886102,0.00009068312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873429,"about_ca_system_score_gemma":0.0005283574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001629073,"about_ca_topic_score_gemma":0.0002151866,"domain_scores_codex":[0.9963879,0.0003709024,0.0009459932,0.0008958663,0.0004896586,0.0009096904],"domain_scores_gemma":[0.9982035,0.000147458,0.0004303568,0.0009052262,0.00002508414,0.0002883864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007562218,0.0005584441,0.4972799,0.002892512,0.0001451752,0.00007880559,0.04133845,0.00003107964,0.00003946166,0.001661934,0.4485017,0.00671639],"study_design_scores_gemma":[0.009498064,0.0001900856,0.614081,0.001477467,0.00008727232,0.00002641447,0.3636414,0.0004277377,0.00002956285,0.002624707,0.006936891,0.000979507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501235,0.0007043703,0.0002507063,0.001503938,0.04126189,0.0005781781,0.0003094737,0.0004425545,0.004825378],"genre_scores_gemma":[0.9910055,0.00006528232,0.004868425,0.00102693,0.002478894,0.00005264448,0.000310209,0.00009989022,0.00009221853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4415648,"threshold_uncertainty_score":0.99986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07738997926969292,"score_gpt":0.3732813788806229,"score_spread":0.29589139961093,"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."}}