{"id":"W4280532034","doi":"10.2196/38340","title":"Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Social media; Mental health; Content analysis; Harm; Suicidal ideation; Descriptive statistics; Psychology; Content (measure theory); Descriptive research; Sample (material); Applied psychology; Social psychology; Suicide prevention; Medicine; Poison control; Psychiatry; Computer science; Sociology; Medical emergency; World Wide Web; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009474707,0.0003229146,0.000318002,0.004038949,0.001226504,0.001967879,0.0005134374,0.0005007555,0.001669923],"category_scores_gemma":[0.03495213,0.0004034346,0.0003522153,0.003370882,0.001653194,0.001965713,0.002104123,0.0008744185,0.0003214599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002817902,"about_ca_system_score_gemma":0.002403324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00626439,"about_ca_topic_score_gemma":0.01635098,"domain_scores_codex":[0.9966444,0.00162324,0.0003656274,0.000296653,0.0007313915,0.0003388385],"domain_scores_gemma":[0.9775459,0.013027,0.003602732,0.0007217432,0.004731888,0.0003706676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002368327,0.0007468219,0.4291014,0.001524108,0.00007912453,0.0005272356,0.4859261,0.0002200363,0.00373385,0.002089407,0.003905141,0.07190996],"study_design_scores_gemma":[0.00002718667,0.000388938,0.5391958,0.0012143,0.0000818995,0.0004313718,0.4387834,0.001046064,0.002033704,0.0007526254,0.01599,0.00005465525],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932482,0.0001750847,0.001512024,0.0001654628,0.00001756866,0.001535761,0.001037469,0.00001217482,0.002296276],"genre_scores_gemma":[0.9797152,0.0006354123,0.007981456,0.0003725268,0.00003376679,0.007243648,0.002372925,0.00005165789,0.001593381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009474707,"threshold_uncertainty_score":0.05010766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4841607544005022,"score_gpt":0.5719331894810166,"score_spread":0.08777243508051441,"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."}}