{"id":"W7094941570","doi":"10.5683/sp3/h0aelt","title":"CLARE: Cognitive Load Assessment in REaltime with Multimodal Data","year":2023,"lang":"","type":"dataset","venue":"Borealis","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cognitive load; Cognition; Gaze; Cognitive Assessment System; Data collection","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":[0.0008531189,0.00190766,0.0007934296,0.001633433,0.0004316037,0.0008617456,0.001354913,0.001308616,0.004207537],"category_scores_gemma":[0.004580073,0.0002060286,0.0007816625,0.001094012,0.0002434205,0.0009143723,0.001885033,0.001053883,0.004185413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005323185,"about_ca_system_score_gemma":0.0004367591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006787627,"about_ca_topic_score_gemma":0.01568617,"domain_scores_codex":[0.9992003,0.0001769898,0.00007938045,0.0002462874,0.0001998365,0.00009729849],"domain_scores_gemma":[0.9985152,0.0003431991,0.0001569746,0.0004185891,0.0003663165,0.0001997235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004183291,0.002008909,0.06897389,0.003692707,0.0009184374,0.0008599709,0.0009175545,0.008179065,0.01830057,0.00110322,0.6956089,0.1952536],"study_design_scores_gemma":[0.001098509,0.001948258,0.5383662,0.0007983819,0.0005667085,0.002757902,0.002063608,0.05134799,0.02694132,0.006734996,0.3668009,0.0005752202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1884526,0.002580351,0.01261229,0.0009864798,0.000535944,0.0008094266,0.7792191,0.008971933,0.005831877],"genre_scores_gemma":[0.1875144,0.0005639318,0.01536213,0.000395886,0.0001921753,0.00152413,0.7905431,0.0002575519,0.003646586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006787627,"threshold_uncertainty_score":0.01407558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107162470859449,"score_gpt":0.3318497821119049,"score_spread":0.3107781574033104,"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."}}