{"id":"W2802339052","doi":"10.7939/r3ff3mb2d","title":"Multitasking and Learning in Virtual Environments","year":2015,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human multitasking; Computer science; Human–computer interaction; Psychology; Cognitive psychology","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":[0.0000661288,0.00004270499,0.0000610906,0.00008887264,0.00003643968,0.00001589063,0.0002551039,0.00003170958,0.00002275519],"category_scores_gemma":[0.00003759902,0.00005449349,0.00001026922,0.000105566,0.00004123307,0.00108653,0.0002722534,0.0001138086,0.0000218214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001558539,"about_ca_system_score_gemma":0.00004216875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003772054,"about_ca_topic_score_gemma":0.0000187982,"domain_scores_codex":[0.9995621,0.00008540732,0.00004794488,0.0001470556,0.00007847122,0.00007898061],"domain_scores_gemma":[0.9996503,0.0001249857,0.00004590046,0.0001166295,0.000002342345,0.00005982977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003582155,0.000186371,0.7955835,0.00001416897,0.00001918962,0.00002751231,0.1198541,0.01526522,0.0002146682,0.02238355,0.002142026,0.0442738],"study_design_scores_gemma":[0.002749125,0.0005066011,0.417399,0.0001361486,0.00001150355,0.00001639378,0.0156116,0.2027743,0.0006013948,0.001102018,0.3585391,0.0005528619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789802,0.00003153785,0.009200987,0.0007444189,0.00007046499,0.00005009276,5.932614e-8,0.0000248247,0.01089745],"genre_scores_gemma":[0.977366,0.0000114248,0.01250469,0.00003718122,0.000007715435,5.24909e-8,0.000003199722,0.000003453149,0.01006627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3781846,"threshold_uncertainty_score":0.222218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008366795185774855,"score_gpt":0.1771788022131602,"score_spread":0.1688120070273854,"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."}}