{"id":"W1561872385","doi":"","title":"Challenging Existing Paradigms: Collaborative Learning using iPads","year":2014,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Collaborative learning; Artificial intelligence; Knowledge management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003882438,0.0008235599,0.0007029286,0.0008378952,0.003123096,0.009950365,0.004185041,0.003315379,0.01184057],"category_scores_gemma":[0.01478303,0.0004572399,0.000807644,0.0008559928,0.004487909,0.02030239,0.009628117,0.003630496,0.00483092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007389992,"about_ca_system_score_gemma":0.00135543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009186806,"about_ca_topic_score_gemma":0.001014711,"domain_scores_codex":[0.9936046,0.003084784,0.0002682371,0.001099859,0.001624013,0.0003184286],"domain_scores_gemma":[0.98742,0.007071374,0.0003553957,0.00296698,0.001393396,0.0007928336],"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":[0.0003321283,0.0005333286,0.002246347,0.001252877,0.0001229491,0.0002690634,0.007441882,0.003434426,0.01005126,0.3221279,0.01807399,0.6341138],"study_design_scores_gemma":[0.0001821692,0.0007248052,0.001558957,0.000828831,0.0001418692,0.001192397,0.009879048,0.04766246,0.01192836,0.6522576,0.2734544,0.0001890106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05075192,0.005572014,0.8080368,0.01481044,0.001714417,0.0002622802,0.000169441,0.001443303,0.1172395],"genre_scores_gemma":[0.5872826,0.005596059,0.3781175,0.002754368,0.000960714,0.000728309,0.0002684208,0.0005029326,0.02378908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01184057,"threshold_uncertainty_score":0.03961056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0842299752099447,"score_gpt":0.3160362968287354,"score_spread":0.2318063216187907,"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."}}