{"id":"W2163161239","doi":"10.1115/icone18-29824","title":"A Comparison of Different Communication Tools for Distance Learning in Nuclear Education","year":2010,"lang":"en","type":"article","venue":"18th International Conference on Nuclear Engineering: Volume 2","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Workforce; Work (physics); Engineering education; Set (abstract data type); Computer science; Nuclear industry; Learning styles; Engineering management; Engineering; Nuclear engineering; Mechanical engineering; Mathematics education; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002033064,0.0001786159,0.0002897597,0.0002969986,0.00009570555,0.0001282143,0.0006360887,0.0001342926,0.0006863789],"category_scores_gemma":[0.0005639516,0.0001915826,0.00006968232,0.0001296201,0.0001211689,0.0002335926,0.0001082024,0.0004363003,0.0001022996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008532823,"about_ca_system_score_gemma":0.00003142576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001636077,"about_ca_topic_score_gemma":0.00002732611,"domain_scores_codex":[0.9987705,0.00002896669,0.0004427723,0.0002885327,0.0002604038,0.0002087632],"domain_scores_gemma":[0.9990462,0.0001179912,0.0002543062,0.0003411471,0.0001887233,0.00005160282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000114578,0.0005411592,0.01007941,0.00005668454,0.00002901827,3.216026e-7,0.001587219,0.001303315,0.4161308,0.5608925,0.001198786,0.008066247],"study_design_scores_gemma":[0.001320977,0.0004927527,0.1379493,0.0003376625,0.00002825058,0.000005823251,0.003859494,0.6598486,0.005668622,0.001949149,0.1877641,0.0007753336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952367,0.00002474983,0.0002568566,0.001229062,0.0007499114,0.0002856925,0.0000330227,0.0002172581,0.001966729],"genre_scores_gemma":[0.9960093,0.00003046602,0.003557224,0.00004652221,0.00004520651,0.00004967209,0.00003051494,0.00004110628,0.0001900216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6585453,"threshold_uncertainty_score":0.7812513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021711487329672,"score_gpt":0.3050815682848507,"score_spread":0.274864453411554,"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."}}