{"id":"W4242259101","doi":"10.36227/techrxiv.12094140","title":"FOMO- social media engagement- smartphone addiction and distraction _IEEEPaper..pdf","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Smartphone addiction; Distraction; Social media; Internet privacy; Mobile phone; Mental health; Addiction; Smartphone application; Phone; Productivity; Psychology; Psychological intervention; Mobile apps; Distracted driving; Smart phone; Applied psychology; Advertising; Business; Multimedia; Computer science; World Wide Web; Psychiatry","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":[0.001142698,0.0004248397,0.0004311611,0.001484882,0.001889168,0.004862184,0.000483654,0.002339155,0.06893216],"category_scores_gemma":[0.00550019,0.0003081979,0.0008235027,0.001469476,0.0008413891,0.00273478,0.002392378,0.002263186,0.00566483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309682,"about_ca_system_score_gemma":0.001561915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00836783,"about_ca_topic_score_gemma":0.00748505,"domain_scores_codex":[0.9994003,0.0001757722,0.0000307663,0.00007724916,0.0001628804,0.0001531111],"domain_scores_gemma":[0.9956945,0.002269716,0.0004906965,0.0002105526,0.0004748298,0.0008597726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004917872,0.001802641,0.1720798,0.001899773,0.0002004797,0.001880361,0.00840662,0.0001833877,0.0007209994,0.04794438,0.2358838,0.5285059],"study_design_scores_gemma":[0.0001068019,0.0003495146,0.6169997,0.003847298,0.0002031125,0.002362687,0.02056806,0.0006146785,0.0007518939,0.01657704,0.3375295,0.00008980828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3547716,0.04698445,0.001647896,0.1138581,0.004304068,0.0005204597,0.005570864,0.0002248829,0.4721178],"genre_scores_gemma":[0.822437,0.03690505,0.001272336,0.01135281,0.002833398,0.000708046,0.002990313,0.0001053761,0.1213956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06893216,"threshold_uncertainty_score":0.2306011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837406663121852,"score_gpt":0.3267975517379998,"score_spread":0.2784234851067813,"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."}}