{"id":"W1869737030","doi":"","title":"Quality of Service Considerations in Mobile Learning Environments","year":2006,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Quality (philosophy); Computer science; Epistemology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000993119,0.000191698,0.0002827856,0.0003400469,0.0001404345,0.0001059298,0.000494142,0.0001616726,0.0000394998],"category_scores_gemma":[0.0001765877,0.0002217736,0.00007233427,0.0006393034,0.00005218788,0.0004852317,0.0002142419,0.0004051664,0.00002404843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003402327,"about_ca_system_score_gemma":0.0001845554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01890909,"about_ca_topic_score_gemma":0.00678089,"domain_scores_codex":[0.9977037,0.000419515,0.0006787805,0.0004284879,0.0003612916,0.0004082603],"domain_scores_gemma":[0.9983485,0.0003369405,0.0003758075,0.000788814,0.00006407315,0.00008581531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001055676,0.0007880015,0.4866641,0.00005301587,0.00001443305,0.00001221131,0.001213241,0.2922729,0.05464802,0.1547216,0.0005227167,0.00907933],"study_design_scores_gemma":[0.0005251122,0.00009961974,0.822818,0.00004071126,0.000005469556,0.00002803479,0.0001545412,0.1442733,0.01236255,0.01597008,0.003335316,0.0003872802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4172032,0.0004044008,0.578166,0.00230094,0.00008633814,0.0005374885,0.000003553188,0.0002608489,0.001037186],"genre_scores_gemma":[0.8874744,0.0000230257,0.1108707,0.0006546853,0.00003980379,0.0004817924,0.00001481023,0.0000200516,0.0004208146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4702711,"threshold_uncertainty_score":0.9876241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127423066818279,"score_gpt":0.254623916855118,"score_spread":0.2418816101732901,"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."}}