{"id":"W2172153879","doi":"10.5539/hes.v2n4p142","title":"Analysis on Influencing Factors and Countermeasures for College Students’ Network Entertainment","year":2012,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Informatization; Entertainment; The Internet; Social network (sociolinguistics); Entertainment industry; Business; Advertising; Marketing; Social media; Public relations; Engineering; Computer science; Political science; Telecommunications; World Wide Web","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":[0.001117044,0.0002897984,0.0002433537,0.001571982,0.0006653122,0.0009383736,0.0003042218,0.0003646111,0.001885039],"category_scores_gemma":[0.005840401,0.0001362336,0.0005306752,0.001260684,0.0003812065,0.0004412922,0.0004994944,0.0004890479,0.0001239921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005149991,"about_ca_system_score_gemma":0.0008624229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003161888,"about_ca_topic_score_gemma":0.00557291,"domain_scores_codex":[0.9988496,0.0003949935,0.0001424471,0.0001242327,0.0003179315,0.0001708339],"domain_scores_gemma":[0.9945528,0.002530189,0.001187679,0.0002273744,0.0008463853,0.0006554864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003463936,0.000135269,0.9843954,0.00003233633,0.00003804981,0.00009334833,0.001306607,0.00006061196,0.0003850769,0.0001946951,0.0001221632,0.0132019],"study_design_scores_gemma":[0.000002520971,0.0001017171,0.992039,0.00001923735,0.00007185739,0.00004599483,0.006148845,0.0004135218,0.0004806959,0.00008051769,0.0005902708,0.000005882174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981852,0.0001099786,0.0002260753,0.00009831464,0.000007592078,0.00003203669,0.00003410025,0.000003662704,0.001303077],"genre_scores_gemma":[0.999471,0.00009237601,0.0001685416,0.00001180993,0.000005608007,0.00001158242,0.00003644993,7.737134e-7,0.0002017749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003161888,"threshold_uncertainty_score":0.006306052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05569352064348721,"score_gpt":0.4112031268447136,"score_spread":0.3555096062012264,"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."}}