{"id":"W2113082604","doi":"10.21432/t2v616","title":"A review of models and frameworks for designing mobile learning experiences and environments","year":2015,"lang":"en","type":"review","venue":"Canadian Journal of Learning and Technology","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affordance; Computer science; Educational technology; Instructional design; Mobile device; Curriculum; Categorization; Learning sciences; Construct (python library); Knowledge management; Human–computer interaction; Multimedia; Mathematics education; Psychology; Artificial intelligence; World Wide Web; Pedagogy","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":[0.001203295,0.0002225055,0.00105522,0.0007278822,0.0001915603,0.0000703445,0.0004180637,0.0005362428,0.000004076066],"category_scores_gemma":[0.0008479939,0.0001982633,0.00007066841,0.0003548536,0.0003023375,0.0001988855,0.00008352285,0.001523982,4.364752e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008222787,"about_ca_system_score_gemma":0.0008463062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002597117,"about_ca_topic_score_gemma":0.000007614359,"domain_scores_codex":[0.9984687,0.0002280177,0.0005855731,0.0003149918,0.0001191973,0.0002835318],"domain_scores_gemma":[0.9980736,0.0002776868,0.001060821,0.0001704903,0.000127458,0.0002899841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[4.256879e-7,0.0000036747,0.00009418103,0.005040038,0.00003503082,0.000006661447,0.001337995,0.00004351305,3.67973e-7,0.0005235383,0.00008014837,0.9928344],"study_design_scores_gemma":[0.00009983137,0.0005335573,3.215201e-7,0.03457567,0.0001227491,0.0006580882,0.001609481,0.000752187,0.000001042034,0.0008045366,0.9606532,0.0001892743],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001510184,0.9641636,0.03505879,0.0001145832,0.0001336918,0.0003323909,5.907179e-7,0.00001390342,0.00003144557],"genre_scores_gemma":[0.001263369,0.9839654,0.01451599,0.00001699583,0.00003760395,0.0001014889,0.000001982096,0.00002150344,0.00007564358],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9926451,"threshold_uncertainty_score":0.8084942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164129957251335,"score_gpt":0.3114501879509772,"score_spread":0.2798088883784638,"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."}}