{"id":"W4327731603","doi":"10.5430/ijhe.v12n2p27","title":"The Use of Mobile Phone to Improve Learning Performance","year":2023,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile phone; Focus (optics); Computer science; Intrinsic motivation; Mathematics education; Multimedia; Psychology; Social psychology","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":[0.0006240303,0.0006039528,0.0003077583,0.0006922114,0.000225535,0.001268234,0.0003479147,0.0005076574,0.005542461],"category_scores_gemma":[0.005447407,0.00006811916,0.000274253,0.0003635722,0.0001801738,0.0005867338,0.0005819477,0.0003863589,0.001649614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077175,"about_ca_system_score_gemma":0.0002611821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003986601,"about_ca_topic_score_gemma":0.000456364,"domain_scores_codex":[0.9991416,0.0002928136,0.00005693701,0.0001402104,0.0002472861,0.000121221],"domain_scores_gemma":[0.9966079,0.001807804,0.0005586708,0.0001605609,0.0004748034,0.0003903663],"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":[0.001713009,0.006179148,0.19064,0.001105976,0.0002783091,0.0003978989,0.001669809,0.00341163,0.04389753,0.001355539,0.003051855,0.7462994],"study_design_scores_gemma":[0.000153587,0.01561262,0.9055547,0.0003925309,0.0004070954,0.0006747025,0.001649156,0.008215765,0.0450929,0.001953976,0.02015932,0.0001335742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804078,0.0006833016,0.004682601,0.0002780245,0.00008122301,0.0001217844,0.0001786307,0.0002302206,0.01333642],"genre_scores_gemma":[0.9939995,0.0002461216,0.002948055,0.00006376622,0.00003213708,0.00005269147,0.00009644568,0.00001638052,0.002545047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005542461,"threshold_uncertainty_score":0.0185414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05645273417797772,"score_gpt":0.4460984408740015,"score_spread":0.3896457066960237,"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."}}