{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000210713,0.0001535732,0.000199088,0.0007826966,0.0005741562,0.0003652895,0.0001520583,0.0003657258,0.001686119],"category_scores_gemma":[0.0008281731,0.0001761816,0.0001893497,0.0007553948,0.0001882411,0.0002277806,0.0002800403,0.0004222458,0.0001065632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002996249,"about_ca_system_score_gemma":0.0005556954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009370499,"about_ca_topic_score_gemma":0.0125662,"domain_scores_codex":[0.9998106,0.0000370113,0.00001975725,0.0000214089,0.0000516481,0.00005952267],"domain_scores_gemma":[0.9994897,0.00006476661,0.0001846548,0.00001200637,0.00004940839,0.0001993767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001529282,0.0001139027,0.9980715,0.000008457167,0.000005502385,0.00008873373,0.000291577,0.000009103238,0.0001856063,0.0000145571,0.00003618217,0.001159582],"study_design_scores_gemma":[0.000001862894,0.00009096805,0.9984382,0.00000999068,0.000005998986,0.0001442435,0.001071648,0.00009569194,0.0000438248,0.00001535059,0.00008017588,0.000002035541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997575,0.00006006073,0.000009312938,0.00003201504,0.000001322521,0.000003192076,0.0000192719,6.654632e-7,0.0001166354],"genre_scores_gemma":[0.9998018,0.00006077251,0.00001924216,0.00001397652,0.000002177757,0.000003816375,0.00002613581,2.694065e-7,0.0000718677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009370499,"threshold_uncertainty_score":0.01863194,"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."}}