{"id":"W3187365692","doi":"10.1109/tvcg.2021.3114844","title":"Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Agence Nationale de la Recherche; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Perception; Set (abstract data type); Visualization; Empowerment; Intersection (aeronautics); Comics; Variety (cybernetics); Human–computer interaction; Computer science; Cognitive science; Psychology; Engineering; Artificial intelligence; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002453635,0.0006329185,0.0003096593,0.001345535,0.002527991,0.007668229,0.0006700615,0.001610712,0.01291496],"category_scores_gemma":[0.00690999,0.0002560553,0.0004856662,0.0009182015,0.01430758,0.01042448,0.00652262,0.002073286,0.001157073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001058,"about_ca_system_score_gemma":0.0005533756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004202582,"about_ca_topic_score_gemma":0.0004720566,"domain_scores_codex":[0.9982406,0.001205669,0.00003348754,0.0001404165,0.0002204357,0.0001595514],"domain_scores_gemma":[0.9959436,0.002685779,0.0002461993,0.0005611231,0.0002185559,0.0003446252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004288241,0.00002033926,0.000688817,0.0002868734,0.000009796966,0.000324547,0.05522898,0.0005255699,0.002176977,0.9031645,0.007512991,0.03001779],"study_design_scores_gemma":[0.00003266667,0.00006801375,0.001140335,0.0004978135,0.00002017897,0.0009285669,0.02433099,0.002672857,0.002815858,0.5627397,0.4047011,0.00005185733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1469841,0.008453709,0.2536323,0.04260045,0.001359455,0.000155035,0.0002942139,0.001815169,0.5447055],"genre_scores_gemma":[0.9436677,0.002419617,0.03142496,0.001303333,0.0002906573,0.0001401856,0.0001013219,0.0003355598,0.02031662],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01291496,"threshold_uncertainty_score":0.04320484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670748285608267,"score_gpt":0.3167855977501197,"score_spread":0.290078114894037,"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."}}