{"id":"W2390618993","doi":"","title":"Mobile phone dependence and risk factors of university students in Taian","year":2013,"lang":"en","type":"article","venue":"Journal of Taishan Medical College","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile phone; Psychology; Liberal arts education; Phone; Logistic regression; Addiction; Stratified sampling; Chi-square test; Medical education; Quarter (Canadian coin); Intervention (counseling); Computer science; Medicine; Mathematics; Statistics; Higher education; Psychiatry; Geography; Telecommunications; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635895,0.00007936949,0.0002839305,0.0002308872,0.0001456293,0.00001718926,0.0007353745,0.0002366429,0.0005882399],"category_scores_gemma":[0.002318154,0.00006857706,0.00005896439,0.0003859988,0.0005396574,0.0003244291,0.0001366085,0.0005374206,0.00000632703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001571381,"about_ca_system_score_gemma":0.0003192328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00287511,"about_ca_topic_score_gemma":0.001656977,"domain_scores_codex":[0.9977931,0.0003464321,0.0003231961,0.00009509749,0.00120234,0.0002397767],"domain_scores_gemma":[0.9988031,0.0001847378,0.0003968716,0.00008512811,0.0001589251,0.0003712021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004245382,0.0002625166,0.9930744,0.000008654732,0.00003296745,0.000105074,0.001753823,7.466828e-7,0.00003798669,0.00005716194,0.002995604,0.001628609],"study_design_scores_gemma":[0.002663897,0.0004834647,0.9440758,0.0002713857,0.00003814664,0.00001851215,0.04825177,0.00002352435,0.0003403319,0.0006681695,0.003013531,0.0001514564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984723,0.0001151537,0.00002431172,0.0004413119,0.0001856927,0.0001826097,0.000009141358,0.000009038778,0.0005604274],"genre_scores_gemma":[0.99847,0.0008952647,0.0001747239,0.00003327125,0.00003585391,3.280707e-7,1.211624e-7,0.000004146154,0.0003862794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04899859,"threshold_uncertainty_score":0.6440814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009496750368858591,"score_gpt":0.2877603331110123,"score_spread":0.2782635827421537,"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."}}