{"id":"W4410544563","doi":"10.34190/ecsm.12.1.3517","title":"The Social Life of ChatGPT: Insights From TikTok","year":2025,"lang":"en","type":"article","venue":"European Conference on Social Media","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Social life; Sociology; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00201492,0.0005083113,0.0004557219,0.001595746,0.009079077,0.006142079,0.0009977325,0.001376301,0.004263456],"category_scores_gemma":[0.005872137,0.0003347956,0.0003040803,0.001330339,0.008096288,0.007795027,0.005732955,0.002489768,0.0008325113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002914004,"about_ca_system_score_gemma":0.001466268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007080159,"about_ca_topic_score_gemma":0.0160518,"domain_scores_codex":[0.9983511,0.0009284999,0.00005767111,0.0001928965,0.0002076957,0.0002621177],"domain_scores_gemma":[0.9947128,0.003567875,0.0003918587,0.0002419796,0.0002943276,0.0007910994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005445467,0.0000292996,0.004179395,0.0001026331,0.000004124313,0.001212442,0.9824818,0.0000424292,0.001193636,0.004984795,0.001031331,0.004683529],"study_design_scores_gemma":[0.000004492034,0.0000409355,0.006623455,0.0001577841,0.00001192395,0.001134031,0.940312,0.0004130784,0.0006481651,0.002265153,0.04834815,0.00004079286],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714677,0.0005487292,0.003305379,0.001582648,0.00006942142,0.00004626467,0.0001605192,0.00006314169,0.02275627],"genre_scores_gemma":[0.991764,0.0003600915,0.0009475496,0.0002968697,0.00002369968,0.00004356735,0.00009939548,0.0001056497,0.006359185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009079077,"threshold_uncertainty_score":0.0211426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2383893353317122,"score_gpt":0.4192833481925324,"score_spread":0.1808940128608202,"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."}}