{"id":"W2552349653","doi":"10.5339/qfarc.2016.ictpp3331","title":"A BCI m-Learning System","year":2016,"lang":"en","type":"article","venue":"Qatar Foundation Annual Research Conference Proceedings Volume 2016 Issue 1","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Multimedia; Mobile device; Wireless network; Interface (matter); Human–computer interaction; Wireless; World Wide Web; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002969772,0.0009865424,0.0006502452,0.001345636,0.000967366,0.001208561,0.00140212,0.00200924,0.03539689],"category_scores_gemma":[0.001035822,0.0002220417,0.0002881446,0.001172045,0.0003198448,0.001025682,0.001003209,0.0007270187,0.03272409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00074939,"about_ca_system_score_gemma":0.0007231116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003127223,"about_ca_topic_score_gemma":0.002213052,"domain_scores_codex":[0.9992146,0.00006653531,0.00006429094,0.0002125934,0.0003656172,0.00007627693],"domain_scores_gemma":[0.999488,0.00005115459,0.00003817843,0.00007102248,0.0002924648,0.00005917591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007089151,0.0002613757,0.002864287,0.0006242131,0.00006525462,0.000593674,0.0002014534,0.002022406,0.07073002,0.004568117,0.09358635,0.823774],"study_design_scores_gemma":[0.0003713015,0.002136834,0.01098667,0.0002909475,0.0002836924,0.006037954,0.000195957,0.0938369,0.1664734,0.005694605,0.7134459,0.000245795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05255212,0.004985822,0.5591485,0.003391703,0.002337122,0.002325269,0.008680378,0.08555385,0.2810252],"genre_scores_gemma":[0.6319454,0.002265462,0.1680499,0.003443375,0.0008539837,0.001841301,0.005198488,0.0008295705,0.1855725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03539689,"threshold_uncertainty_score":0.1184145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03896286700469694,"score_gpt":0.3421354870338872,"score_spread":0.3031726200291903,"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."}}