{"id":"W4230029664","doi":"10.32920/ryerson.14638506.v1","title":"Project iPad: Investigating Tablet Integration in Learning and Libraries at Ryerson University","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Multimedia; Library science; World Wide Web; 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":[0.0003962136,0.0001858062,0.0002146248,0.0002800339,0.000177507,0.0005954989,0.0004194906,0.000213161,0.0000299946],"category_scores_gemma":[0.0004055448,0.0002049569,0.0000334028,0.0004779951,0.00007209535,0.0007966341,0.002234527,0.0009422789,0.000003681726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845425,"about_ca_system_score_gemma":0.0005605288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293261,"about_ca_topic_score_gemma":0.0005015129,"domain_scores_codex":[0.9982579,0.0004552427,0.0001905967,0.0007042413,0.0001897541,0.0002022597],"domain_scores_gemma":[0.9991443,0.0002012602,0.0002115936,0.000318009,0.00007055006,0.00005432005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001947171,0.0001823671,0.6086907,0.00102295,0.00007107049,0.00009283012,0.1601493,0.02617952,0.004560141,0.05623459,0.00296859,0.1398285],"study_design_scores_gemma":[0.0005594867,0.0001242175,0.04287639,0.001960947,0.00002630545,0.00003658878,0.02268963,0.9102725,0.006004385,0.002947314,0.0112991,0.001203184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8491901,0.0002715551,0.1370066,0.001413686,0.0005668433,0.0004632443,7.232952e-7,0.0003763038,0.0107109],"genre_scores_gemma":[0.6721434,0.0001403123,0.318034,0.000108441,0.00007581781,0.0000176322,0.0001151911,0.00001939843,0.009345754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8840929,"threshold_uncertainty_score":0.8357902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572015790206202,"score_gpt":0.2524109626983895,"score_spread":0.2266908047963275,"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."}}