{"id":"W1969702465","doi":"10.1145/2522848.2522896","title":"A dynamic multimodal approach for assessing learners' interaction experience","year":2013,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Bayesian network; Machine learning; Dynamic Bayesian network; Artificial intelligence; Task (project management); Probabilistic logic; Naive Bayes classifier; Rotation formalisms in three dimensions; Context (archaeology); Bayesian probability; Human–computer interaction; Support vector machine","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":[0.001470547,0.0007325778,0.0003914747,0.002691445,0.0002382567,0.0008866751,0.0005098085,0.0006137687,0.001966531],"category_scores_gemma":[0.005959029,0.000211827,0.0004456269,0.001015897,0.0003219321,0.001331866,0.000820923,0.0004266642,0.0003585949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004896526,"about_ca_system_score_gemma":0.0003381598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001474856,"about_ca_topic_score_gemma":0.002180245,"domain_scores_codex":[0.9991106,0.0003317583,0.00005461532,0.0002060151,0.0002451153,0.00005178979],"domain_scores_gemma":[0.9982917,0.0009284672,0.0002854984,0.0001158163,0.0002781239,0.0001003762],"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":[0.001053624,0.0006736779,0.1708938,0.0006548624,0.000395189,0.0002819173,0.002942608,0.08431543,0.08088911,0.006496383,0.001293227,0.6501101],"study_design_scores_gemma":[0.00003671088,0.001306299,0.2095005,0.0001364055,0.0002045188,0.000683438,0.001374676,0.757103,0.01287928,0.01351918,0.003047282,0.0002087239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2857248,0.0003520442,0.7073895,0.0001391053,0.00001962522,0.0003598635,0.0008954101,0.0005725066,0.004547207],"genre_scores_gemma":[0.8892742,0.0002239621,0.1089034,0.00003461933,0.0000177904,0.0003964732,0.0003222378,0.00003000076,0.0007972788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002691445,"threshold_uncertainty_score":0.007777095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042761342739971,"score_gpt":0.3051562572187433,"score_spread":0.2747286437913437,"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."}}