{"id":"W4416926525","doi":"10.1145/3770713","title":"Beyond the Feature Level: A Cluster Analysis of Feature-Level Social Media Behaviour Patterns, Maladaptive Use, and Psychological Well-Being","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"START Clinic","funders":"","keywords":"Social media; Psychological intervention; Feature (linguistics); Cluster (spacecraft); Mental health; Social comparison theory; Latent class model","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":[0.001642745,0.0003344986,0.0004569617,0.002276617,0.0007469566,0.00142186,0.0004977624,0.0003487879,0.00158567],"category_scores_gemma":[0.004931638,0.0001430467,0.0007620499,0.001764311,0.0005534178,0.0006417389,0.001269469,0.0004452383,0.0001875122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005109726,"about_ca_system_score_gemma":0.0008072836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244764,"about_ca_topic_score_gemma":0.009532511,"domain_scores_codex":[0.9989548,0.0003531864,0.00009004084,0.0002497731,0.0001700368,0.0001821957],"domain_scores_gemma":[0.9975225,0.0009324868,0.0003259328,0.0004700761,0.0004872627,0.0002616363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003708258,0.0001679885,0.941677,0.00008800165,0.0003518761,0.0001389238,0.01283495,0.0005733101,0.004664371,0.0009602514,0.0007296453,0.03744283],"study_design_scores_gemma":[0.00000548824,0.0001626351,0.9855945,0.00002159837,0.00006049689,0.00011512,0.007006505,0.005169812,0.0004502293,0.0007146304,0.0006753887,0.00002361315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945017,0.00005009488,0.004372314,0.00008356257,0.000008008671,0.00009940387,0.0003101429,0.00003004809,0.0005447242],"genre_scores_gemma":[0.9972887,0.00001750832,0.002185618,0.000008409307,0.000004025137,0.0000597039,0.0002352486,0.000009566416,0.0001912256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01244764,"threshold_uncertainty_score":0.02475041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205107922919323,"score_gpt":0.3218328002559421,"score_spread":0.2897817210267489,"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."}}