{"id":"W1996034511","doi":"10.1109/mmul.2009.11","title":"Interactive Multimedia for Adaptive Online Education","year":2009,"lang":"en","type":"article","venue":"IEEE Multimedia","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Multimedia; Blank; Representation (politics); Human–computer interaction; World Wide Web","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":[0.0001534762,0.0001613366,0.0002080094,0.0001920552,0.00009368483,0.00009058657,0.0004639779,0.00008146355,0.00001507678],"category_scores_gemma":[0.0001979231,0.0001473024,0.0001295354,0.000338685,0.0000235831,0.0006707257,0.00002432531,0.000117785,0.00005309405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000847691,"about_ca_system_score_gemma":0.0001710937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004121241,"about_ca_topic_score_gemma":0.00005027209,"domain_scores_codex":[0.9988093,0.0000509126,0.0002825606,0.0004124817,0.0002096797,0.0002351027],"domain_scores_gemma":[0.9987749,0.0002290649,0.0001574479,0.0003667148,0.0003444562,0.0001273695],"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":[0.00003083124,0.0005630071,0.0001254486,0.000002904765,0.00003307308,0.000001260465,0.001839746,0.0002592691,0.003516525,0.0009171564,0.00571594,0.9869949],"study_design_scores_gemma":[0.0005453426,0.0001833011,0.006279596,0.00002724621,0.00002547252,0.000001834028,0.0001210263,0.9835738,0.004363158,0.002275395,0.002387314,0.0002165084],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007811788,0.00009998073,0.987368,0.001740318,0.00162316,0.0004946028,0.00002275674,0.0001558361,0.0006835827],"genre_scores_gemma":[0.6477781,0.00001433242,0.3498987,0.001065304,0.0005110406,0.00003774482,0.0001072434,0.000008794477,0.0005787133],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9867783,"threshold_uncertainty_score":0.600682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084511386975231,"score_gpt":0.2976635127079863,"score_spread":0.276818398838234,"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."}}