{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005127435,0.0004851223,0.0002492183,0.0008839698,0.0004234324,0.002305246,0.0007916726,0.001711022,0.03480714],"category_scores_gemma":[0.001972653,0.000146568,0.0003222251,0.0009274729,0.0008341976,0.002300027,0.001176995,0.001066435,0.005608252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006055676,"about_ca_system_score_gemma":0.0005235925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006560576,"about_ca_topic_score_gemma":0.0009982402,"domain_scores_codex":[0.9995596,0.000140833,0.00002964503,0.00006168523,0.0001674062,0.00004077311],"domain_scores_gemma":[0.9991818,0.0004303841,0.00005746206,0.0001413806,0.0001252356,0.00006376188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008927006,0.00007563949,0.0003794591,0.0008162244,0.00001986108,0.0003312631,0.0002528437,0.001358744,0.008520948,0.3107399,0.05185225,0.6255636],"study_design_scores_gemma":[0.00003244588,0.00009609172,0.001230217,0.0004871628,0.00003558284,0.001076465,0.000173556,0.01104596,0.004403442,0.1012672,0.8801113,0.00004068124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009766613,0.05567534,0.5056602,0.0114483,0.00492852,0.0004866012,0.0007812514,0.004416199,0.4068369],"genre_scores_gemma":[0.263749,0.04090243,0.4569384,0.005365021,0.006325915,0.001323166,0.001354422,0.0009106989,0.223131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03480714,"threshold_uncertainty_score":0.1164415,"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."}}