{"id":"W4391647762","doi":"10.5430/ijba.v15n1p10","title":"New Digital Inequality: The Detox of Mobile Phone Addictions Among the Adolescents in China","year":2024,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Addiction; Inequality; Mobile phone; Phone; Psychology; Computer science; Business; Telecommunications; Mathematics; History; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005254614,0.0001412743,0.0001646672,0.0009417614,0.00167062,0.001047903,0.0003044852,0.0003521597,0.001728084],"category_scores_gemma":[0.0009235726,0.0001682451,0.0002132152,0.0008376844,0.001101044,0.001080348,0.001457558,0.000869051,0.00004147067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859775,"about_ca_system_score_gemma":0.002186789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06273077,"about_ca_topic_score_gemma":0.1052272,"domain_scores_codex":[0.9995432,0.0000774018,0.0000336786,0.00005467379,0.0001015402,0.0001895024],"domain_scores_gemma":[0.9995462,0.00005562537,0.0001886439,0.00001620712,0.00004918364,0.0001441059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001839582,0.00008137566,0.9324972,0.0000353488,0.0000119998,0.0009731105,0.05036355,0.00003713464,0.0004424508,0.003408346,0.0003121212,0.01181892],"study_design_scores_gemma":[0.000002487678,0.00003311979,0.9411336,0.00004663812,0.00001115591,0.0003180726,0.05546057,0.0002264838,0.0001219497,0.000402421,0.002234838,0.000008563362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987887,0.00008947124,0.0000206768,0.0002882694,0.000002307915,0.000004540653,0.00000977784,4.166843e-7,0.0007959198],"genre_scores_gemma":[0.9996021,0.00009588366,0.00001433281,0.00003232722,0.000001758552,0.000001930051,0.00001017459,3.452618e-7,0.0002410381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06273077,"threshold_uncertainty_score":0.1247312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434999598120874,"score_gpt":0.324006442315466,"score_spread":0.3096564463342573,"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."}}