{"id":"W6986982193","doi":"","title":"THE ROLE OF EMOTION IN VISUALIZATION","year":2013,"lang":"en","type":"other","venue":"NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Perception; Cognition; Task (project management); Emotion perception; Emotion recognition; Psychological research; Key (lock); Emotion classification","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001745606,0.0001676541,0.0003030471,0.0003787823,0.0001777115,0.000016312,0.0006273068,0.0001412459,0.00002437093],"category_scores_gemma":[0.00009850143,0.0001388759,0.0001022547,0.001030638,0.0002236872,0.0004090311,0.0003462899,0.0001491227,0.00001206838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006937562,"about_ca_system_score_gemma":0.0001394163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001444478,"about_ca_topic_score_gemma":0.005934434,"domain_scores_codex":[0.9989182,0.0001214168,0.0003082841,0.0002547907,0.0002642177,0.0001331163],"domain_scores_gemma":[0.9985573,0.0001110086,0.0005056789,0.0003832216,0.0003817687,0.00006106182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005775914,0.0003208461,0.9522272,0.0001143652,0.00007942731,0.000001461093,0.0007026806,0.00002367025,0.00001238225,0.004244633,0.009146522,0.033069],"study_design_scores_gemma":[0.001090445,0.0001788617,0.7824314,0.0002038684,0.00004777814,0.000005107793,0.00003789086,0.02009051,0.00005544081,0.0002617127,0.1953832,0.0002137793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7224185,0.009509501,0.03190902,0.0006220088,0.001283592,0.003553363,0.001091965,0.00040968,0.2292023],"genre_scores_gemma":[0.894538,0.001352965,0.0001901657,0.00000997926,0.00004510003,4.697816e-7,0.0001896317,0.00004076313,0.1036329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1862367,"threshold_uncertainty_score":0.5663196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097061825204089,"score_gpt":0.2326512820945135,"score_spread":0.2216806638424726,"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."}}