{"id":"W2765690158","doi":"10.1093/eurpub/ckx141","title":"Regional contextual determinants of internet addiction among college students: a representative nationwide study of China","year":2017,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"China; Logistic regression; Psychology; Multilevel model; Addiction; Per capita; Environmental health; The Internet; Demography; Regression analysis; Geography; Medicine; Sociology; Statistics","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":[0.01459366,0.0001073747,0.0004077335,0.0003228782,0.000521869,0.00009677254,0.001450087,0.00003715863,0.0000539925],"category_scores_gemma":[0.003868951,0.0000967642,0.00008831675,0.000164589,0.000710182,0.000794784,0.0002006096,0.000340194,0.000003255014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000179759,"about_ca_system_score_gemma":0.0005172425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00208897,"about_ca_topic_score_gemma":0.00182692,"domain_scores_codex":[0.9929011,0.004331076,0.001171202,0.0001603487,0.001125922,0.000310338],"domain_scores_gemma":[0.9944317,0.00008036188,0.004296996,0.0003186905,0.0006002861,0.0002720015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004991693,0.00121535,0.9438577,0.00001608572,0.0001186071,0.00006942015,0.03337582,7.762139e-7,0.000005401012,0.0002143555,0.005624859,0.01545174],"study_design_scores_gemma":[0.002222738,0.00146417,0.9604236,0.0002381725,0.000009680884,0.00001342862,0.03451498,0.000008185758,0.00001609272,0.00002463477,0.001002997,0.00006126006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946786,0.00004184748,0.0002710241,0.002093619,0.0004076819,0.0003588814,0.00001296091,0.00001454247,0.002120812],"genre_scores_gemma":[0.9989207,0.00006668193,0.00009721126,0.00005620064,0.0001262302,8.047493e-7,5.65746e-7,0.00001422149,0.000717366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01656599,"threshold_uncertainty_score":0.5057902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09212874649734712,"score_gpt":0.4151912769184532,"score_spread":0.3230625304211061,"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."}}