{"id":"W2302971359","doi":"","title":"A multi-user tabletop display with enhanced mobile visuals for teaching and collaborative training: faculty poster abstract","year":2016,"lang":"en","type":"article","venue":"Journal of computing sciences in colleges","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Ontario Tech University","funders":"","keywords":"Computer science; Multimedia; Cloud computing; Mobile device; Limiting; Process (computing); Collaborative learning; Information and Communications Technology; Human–computer interaction; Augmented reality; Focus (optics); Cognitive load; World Wide Web; Cognition; Knowledge management","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":[0.00340626,0.0001649874,0.0003256441,0.0002963613,0.0004253275,0.0003070568,0.0007347519,0.00005439139,0.000002761187],"category_scores_gemma":[0.0006743832,0.00009581352,0.00004151586,0.0005612415,0.0002997139,0.001112126,0.00009626909,0.0002370361,7.392898e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009630296,"about_ca_system_score_gemma":0.0005357359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005321891,"about_ca_topic_score_gemma":0.0000135507,"domain_scores_codex":[0.9981391,0.0001782029,0.0005278281,0.0003637244,0.0004377783,0.0003533585],"domain_scores_gemma":[0.9967763,0.001875548,0.0007674766,0.0001432022,0.0003505106,0.000086948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004004102,0.001479946,0.04938427,0.000217085,0.0002152787,0.00006995734,0.2488154,0.06353287,0.104985,0.01576965,0.002419975,0.5127102],"study_design_scores_gemma":[0.0297983,0.02547387,0.5111885,0.01429106,0.000133207,0.001746346,0.08138896,0.2178987,0.06394439,0.004138276,0.04566809,0.004330296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.744786,0.00006766863,0.2531481,0.0011419,0.0003642142,0.0003155436,0.000003208882,0.00001719987,0.0001562124],"genre_scores_gemma":[0.7647579,0.000005095383,0.2348619,0.00008688631,0.0000875914,0.00001166616,1.31171e-7,0.000006257937,0.0001826258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5083799,"threshold_uncertainty_score":0.3907162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702780702238373,"score_gpt":0.3559684671478581,"score_spread":0.3289406601254744,"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."}}