{"id":"W2144211475","doi":"","title":"Designing a Self-contained Group Area Network for Ubiquitous Learning","year":2008,"lang":"en","type":"article","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Mobile device; Computer science; Situated; Collaborative learning; Mobile computing; Human–computer interaction; Mobile technology; Context (archaeology); Multimedia; Situated learning; Knowledge management; Computer network; World Wide Web; Artificial intelligence","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":[0.0005090789,0.0001424617,0.0001585897,0.00006772872,0.0005338525,0.00009759649,0.0005313902,0.00007295088,0.00002346179],"category_scores_gemma":[0.000152593,0.0001386018,0.00007276118,0.0003473349,0.00002035697,0.0003513906,0.00009888272,0.0001921418,0.00004083081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008711324,"about_ca_system_score_gemma":0.0001021747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003398646,"about_ca_topic_score_gemma":0.000008776819,"domain_scores_codex":[0.9986128,0.0001172397,0.0002190252,0.000413893,0.0001840729,0.0004529333],"domain_scores_gemma":[0.9988453,0.0004928131,0.0001225061,0.0003431221,0.0001016569,0.00009455001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001145042,0.000902381,0.2093668,0.0001660681,0.0002919383,0.0001007217,0.0368401,0.3173304,0.004964625,0.1706094,0.1317508,0.1275623],"study_design_scores_gemma":[0.001207542,0.001036521,0.01602185,0.00006165299,0.00002275928,0.0002402767,0.0002608034,0.8811565,0.001067924,0.004986684,0.09312529,0.000812188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.022883,0.000061235,0.9716204,0.0003118889,0.000569195,0.0003849049,5.896542e-8,0.0009868024,0.003182511],"genre_scores_gemma":[0.491447,0.000006985813,0.5063445,0.0002781125,0.0003126751,0.0001405351,0.000004045487,0.00001418414,0.001452009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5638261,"threshold_uncertainty_score":0.5652017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998739115180725,"score_gpt":0.2383610283589109,"score_spread":0.2183736372071037,"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."}}