{"id":"W2140147177","doi":"10.1186/1471-2458-12-1106","title":"Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China","year":2012,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"School of Medicine, Shanghai Jiao Tong University; Shanghai Jiao Tong University; Shanghai Rising-Star Program; Shanghai Academy of Educational Sciences; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"The Internet; Medicine; Addiction; Logistic regression; Biostatistics; Stratified sampling; Scale (ratio); Odds ratio; Population; Odds; Psychiatry; Demography; Public health; Clinical psychology; Environmental health; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009586993,0.0001203143,0.0002546902,0.0002005356,0.0002603208,0.00004592314,0.0004684604,0.0001718619,0.0002126375],"category_scores_gemma":[0.003166414,0.00009590206,0.00005729671,0.0008935056,0.0001995327,0.0002081906,0.0001129704,0.0004994569,0.00008705317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006351686,"about_ca_system_score_gemma":0.000827005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01729772,"about_ca_topic_score_gemma":0.01895323,"domain_scores_codex":[0.9963386,0.001796389,0.0004634914,0.0001825004,0.0003821146,0.0008369162],"domain_scores_gemma":[0.9988018,0.000111062,0.0003368882,0.0002468443,0.00008278855,0.0004206696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001906361,0.0002647931,0.9622443,0.00001354214,0.00001039645,1.781192e-7,0.01430474,1.41597e-7,3.151245e-7,0.0006540089,0.009632562,0.01285595],"study_design_scores_gemma":[0.0002369533,0.00005459197,0.9790896,0.00005990139,0.000002643238,0.000001555496,0.001124632,0.00006136922,8.904601e-7,0.00001248801,0.01927124,0.00008415814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983225,0.0002528921,0.0004219846,0.01377487,0.00087414,0.0005921305,0.0001383526,0.0001035414,0.0006171275],"genre_scores_gemma":[0.9983131,0.0001318225,0.0001069425,0.0007500806,0.0001265684,0.00001256337,0.00002675841,0.00001320732,0.0005189552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01684527,"threshold_uncertainty_score":0.9989483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.056171869731422,"score_gpt":0.3403428600828274,"score_spread":0.2841709903514054,"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."}}