{"id":"W217614200","doi":"10.32920/ryerson.14638506","title":"Project iPad: Investigating Tablet Integration in Learning and Libraries at Ryerson University","year":2021,"lang":"en","type":"article","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Multimedia; Information technology; Library science; World Wide Web; Operating system","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":[0.0001840337,0.0000640667,0.00007310816,0.00009826758,0.0001479615,0.0001622346,0.000125596,0.00004258805,0.00002872807],"category_scores_gemma":[0.0003018602,0.00006786775,0.00001057842,0.0005728523,0.00003734449,0.0008353879,0.0002554235,0.0001831383,0.000006825142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008956512,"about_ca_system_score_gemma":0.0001818361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001962828,"about_ca_topic_score_gemma":0.0002354679,"domain_scores_codex":[0.9992182,0.0002052604,0.00008463987,0.0002714703,0.00009568344,0.0001247691],"domain_scores_gemma":[0.999615,0.0001411366,0.00005314967,0.000119447,0.00003893884,0.00003240083],"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":[0.000007187237,0.00007325057,0.672096,0.00007553749,0.00001096016,0.00004628871,0.03928043,0.001406634,0.01878575,0.1685699,0.00245263,0.09719543],"study_design_scores_gemma":[0.00112627,0.0002109207,0.1187103,0.0004337672,0.00001293361,0.0001055129,0.02963758,0.7001977,0.0623901,0.004885883,0.08144876,0.0008402088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9050202,0.0001093284,0.07338811,0.002075544,0.0001583357,0.000130452,1.902254e-7,0.0002066138,0.01891117],"genre_scores_gemma":[0.802946,0.00003193829,0.1806258,0.0001476178,0.00002928749,0.000003028086,0.00001406916,0.00000662274,0.01619563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6987911,"threshold_uncertainty_score":0.2767567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931946645782483,"score_gpt":0.2393629399457513,"score_spread":0.2200434734879265,"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."}}