{"id":"W4403421568","doi":"10.1109/mipr62202.2024.00068","title":"Mutual Information Analysis in Multimodal Learning Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); Simon Fraser University","funders":"","keywords":"Computer science; Mutual information; Artificial intelligence; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004520825,0.0008367634,0.001201221,0.002934789,0.0008588392,0.001832095,0.001098315,0.001184593,0.002287649],"category_scores_gemma":[0.01727644,0.0004925867,0.0009051809,0.001276434,0.00188338,0.002681014,0.002565668,0.00128809,0.0003423484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092839,"about_ca_system_score_gemma":0.0008152479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003150389,"about_ca_topic_score_gemma":0.001857507,"domain_scores_codex":[0.9967933,0.00142742,0.0001830181,0.0005816974,0.0008120493,0.0002025161],"domain_scores_gemma":[0.9914266,0.006642938,0.0006989909,0.0003865835,0.0006825189,0.0001624556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002639472,0.000106391,0.006196722,0.0002310286,0.0002743409,0.0002785368,0.0005728737,0.7477456,0.004593901,0.106099,0.002536728,0.1311009],"study_design_scores_gemma":[0.000003808706,0.00002273388,0.0009156478,0.000008958628,0.00001163537,0.00003130342,0.00002077696,0.9571642,0.000697907,0.04064771,0.0004586137,0.00001675461],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0481095,0.0009774958,0.9459217,0.0007133725,0.00002859195,0.00007111085,0.0002130391,0.0005938218,0.003371347],"genre_scores_gemma":[0.9205717,0.0004983226,0.07527023,0.0001848308,0.0001240613,0.0001813751,0.0004365568,0.0001516238,0.002581357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004520825,"threshold_uncertainty_score":0.02390867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006670927780579572,"score_gpt":0.2759060346997705,"score_spread":0.2692351069191909,"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."}}