{"id":"W3005492086","doi":"10.5555/2753872.2753895","title":"Canadian university students in wireless classrooms","year":2014,"lang":"en","type":"article","venue":"Computers in Education","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laptop; Class (philosophy); Mathematics education; Wireless; Psychology; Computer science; Multimedia; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001296567,0.0004445965,0.0005755419,0.001617951,0.01403888,0.004659511,0.001230643,0.0008628482,0.01510243],"category_scores_gemma":[0.003231884,0.000468471,0.0004591325,0.003571787,0.001967902,0.00103133,0.001876901,0.001728938,0.002350654],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02307511,"about_ca_system_score_gemma":0.04671071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9640098,"about_ca_topic_score_gemma":0.9903065,"domain_scores_codex":[0.9976754,0.0001390666,0.00004754096,0.0003047115,0.0007220177,0.001111318],"domain_scores_gemma":[0.9929091,0.0002343243,0.000430918,0.0001153649,0.002323916,0.003986351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004052967,0.002006871,0.6179788,0.0002611192,0.00005013773,0.001016107,0.1806265,0.0002085972,0.004034971,0.005258234,0.04369258,0.1444609],"study_design_scores_gemma":[0.00005624489,0.0004885786,0.6817697,0.0001805311,0.00004632817,0.0001782228,0.2242037,0.0002762009,0.001154976,0.0003807214,0.09114377,0.0001210209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680329,0.0004231896,0.000126449,0.001866189,0.0001521393,0.0001342731,0.0008924244,0.00004193487,0.02833051],"genre_scores_gemma":[0.9569762,0.0007384553,0.0004241429,0.001302946,0.0000343092,0.00005146581,0.0005168013,0.0000237526,0.03993196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9769249,"threshold_uncertainty_score":0.1674224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005633001561466323,"score_gpt":0.2403427777661696,"score_spread":0.2347097762047033,"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."}}