{"id":"W3015268079","doi":"10.36227/techrxiv.12094140.v1","title":"FOMO- social media engagement- smartphone addiction and distraction _IEEEPaper.","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Smartphone addiction; Distraction; Social media; Smartphone application; Internet privacy; Mobile phone; Mental health; Addiction; Phone; Productivity; Psychology; Psychological intervention; Distracted driving; Mobile apps; Smart phone; Applied psychology; Advertising; Business; Computer science; Multimedia; 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":[0.000788996,0.0004500047,0.0003444692,0.001051484,0.001502615,0.004156406,0.0003872485,0.002096527,0.04904874],"category_scores_gemma":[0.003480109,0.0002371789,0.000579264,0.001035279,0.0009621507,0.001881541,0.001847846,0.001994323,0.004872286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009926325,"about_ca_system_score_gemma":0.001330395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004290746,"about_ca_topic_score_gemma":0.00442565,"domain_scores_codex":[0.9994962,0.0001551038,0.00001922404,0.00007359483,0.0001407811,0.0001150327],"domain_scores_gemma":[0.9972223,0.001449137,0.0003992443,0.0001299695,0.0002661464,0.000533206],"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":[0.0005356901,0.001568579,0.1567114,0.002296362,0.0001832413,0.00239712,0.00683962,0.0001361913,0.001715682,0.04848967,0.163452,0.6156745],"study_design_scores_gemma":[0.00007976156,0.0004514977,0.5399976,0.003678632,0.0002135554,0.005606142,0.01389697,0.0006955776,0.001287041,0.02041836,0.4135957,0.00007919892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3497141,0.09005611,0.002148084,0.1134319,0.005385646,0.0005305849,0.002963705,0.0002014588,0.4355685],"genre_scores_gemma":[0.7949218,0.05422682,0.001836332,0.01074593,0.004408115,0.0005719883,0.001459336,0.000106197,0.1317236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04904874,"threshold_uncertainty_score":0.1640844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05532750229744278,"score_gpt":0.3343865570189568,"score_spread":0.279059054721514,"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."}}