{"id":"W2782401903","doi":"10.5430/ijhe.v7n1p1","title":"Usage of Mobile Phone Applications and Its Impact on Teaching and Learning","year":2018,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spare time; Phone; Mobile phone; The Internet; Psychology; Association (psychology); Leisure time; Population; Applied psychology; Medical education; Advertising; Multimedia; Engineering; Business; Computer science; Medicine; Sociology; Demography; Telecommunications; Operations management; Physical therapy; Physical activity; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000597794,0.00005429798,0.00008688906,0.0001954634,0.0001948189,0.00004563804,0.0001865963,0.00005470185,0.0001604354],"category_scores_gemma":[0.0001685938,0.00004715369,0.00002890075,0.00006483007,0.0001383611,0.0002367054,0.00002307279,0.0002683735,0.000009531058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204671,"about_ca_system_score_gemma":0.0001525153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001246787,"about_ca_topic_score_gemma":0.000004694697,"domain_scores_codex":[0.9992603,0.0001147015,0.0001922178,0.00006963527,0.0002830885,0.00008004467],"domain_scores_gemma":[0.9990925,0.00009348553,0.0003397181,0.00004124488,0.0003701419,0.00006291974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003605994,0.001891894,0.1727254,0.00003008644,0.0004310075,0.000003504098,0.02837148,0.00005216733,0.03047233,0.0417077,0.009215778,0.7147381],"study_design_scores_gemma":[0.001182086,0.0009707406,0.8289986,0.0004331594,0.00006540873,0.0000812637,0.005787267,0.0000433527,0.005090304,0.007107499,0.1499667,0.0002736123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919873,0.0003861562,0.00006604418,0.001575439,0.0005639234,0.00008737441,0.000001769992,0.00001029396,0.005321654],"genre_scores_gemma":[0.9968101,0.0000906077,0.0003903791,0.000122448,0.0006657554,0.000003839326,0.000001057095,0.000005238604,0.001910539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7144645,"threshold_uncertainty_score":0.1922872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230903276313411,"score_gpt":0.3987013007853538,"score_spread":0.3863922680222197,"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."}}