{"id":"W2230494597","doi":"","title":"Automatic Detection of User’s Uncertainty in Problem Solving Task: a Multimodal Approach","year":2011,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Support vector machine; Task (project management); Computer science; Artificial intelligence; Machine learning; Protocol (science); Activity recognition; Pattern recognition (psychology); Engineering","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":[0.0007074855,0.0004885603,0.0005413773,0.001118602,0.0002055665,0.0006194315,0.0004224539,0.0005826176,0.001377306],"category_scores_gemma":[0.003756502,0.0001729452,0.0002575392,0.0004019553,0.0001774375,0.0007129333,0.0007540621,0.0004319532,0.000456324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001674757,"about_ca_system_score_gemma":0.0001844862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004283524,"about_ca_topic_score_gemma":0.0008792497,"domain_scores_codex":[0.9991776,0.0003025365,0.00004082312,0.0001824277,0.0002415346,0.00005498918],"domain_scores_gemma":[0.9984568,0.00076867,0.0002778285,0.0001071078,0.000313412,0.00007614171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009604908,0.0002946988,0.02743308,0.0003060793,0.0001439638,0.0002617347,0.001129241,0.003787409,0.202597,0.0006729945,0.001326461,0.7610869],"study_design_scores_gemma":[0.0001335135,0.002152277,0.2966996,0.0001834218,0.0004075089,0.002490548,0.002225357,0.4959114,0.1812991,0.009391749,0.008797002,0.0003086241],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4500337,0.0009774163,0.5431831,0.0003624836,0.00004066767,0.0001834469,0.0005376266,0.001395922,0.003285512],"genre_scores_gemma":[0.8956682,0.0002571101,0.1023524,0.00006922037,0.00005549387,0.0001828955,0.0002450586,0.00005347421,0.001116068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001377306,"threshold_uncertainty_score":0.004607558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015985226715622,"score_gpt":0.229287372449145,"score_spread":0.1991275201819888,"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."}}