{"id":"W4400409731","doi":"10.2139/ssrn.4885067","title":"Likes and Fragments: Examining Perceptions of Time Spent on Tiktok vs. Actual Use","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Perception; Psychology; Social psychology; Advertising; Computer science; Business","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":[0.002395925,0.0003473175,0.0003708917,0.001203746,0.0007131436,0.002353484,0.000603013,0.0008724915,0.00426791],"category_scores_gemma":[0.0155561,0.0004672022,0.0006372095,0.0005245499,0.001201663,0.001817146,0.002137521,0.001760741,0.000647563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000481835,"about_ca_system_score_gemma":0.0004609929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003290689,"about_ca_topic_score_gemma":0.005123566,"domain_scores_codex":[0.9989234,0.0003745369,0.0001382388,0.00009735866,0.0003036822,0.0001628429],"domain_scores_gemma":[0.985735,0.005810849,0.004302091,0.0005139098,0.0008504996,0.00278759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001071322,0.0007227563,0.8225749,0.0002626635,0.0002523701,0.0004288795,0.1494476,0.0002003254,0.005591433,0.0006856235,0.0005869778,0.01817515],"study_design_scores_gemma":[0.00003100515,0.0006459108,0.8432208,0.00009870497,0.0001072713,0.0006157352,0.1511226,0.000428387,0.0006883469,0.0002446345,0.002739409,0.00005721547],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987395,0.00007326729,0.00008351929,0.000039088,0.000007556022,0.00001200461,0.00006349705,0.000003670719,0.0009779716],"genre_scores_gemma":[0.9984186,0.0001601135,0.0002466664,0.00004179046,0.000007426422,0.00002469355,0.0001428459,0.000008377172,0.0009495215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00426791,"threshold_uncertainty_score":0.01427758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031365507399821,"score_gpt":0.3091011867457587,"score_spread":0.2887875316717605,"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."}}