{"id":"W2798630247","doi":"10.1145/3170427.3188544","title":"Exploration & Anthropomorphism in Immersive Unit Visualizations","year":2018,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Human–computer interaction; Visualization; Virtual reality; Data visualization; Unit (ring theory); Immersion (mathematics); Multimedia; Artificial intelligence; Psychology","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":[0.001716955,0.0007128593,0.0004177578,0.0006536081,0.0006865178,0.002974287,0.0007393492,0.0006272736,0.008286824],"category_scores_gemma":[0.009363521,0.0005193967,0.0005902422,0.0005978542,0.001325382,0.003723753,0.004817373,0.0007170007,0.0005173975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814056,"about_ca_system_score_gemma":0.0002399329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004109,"about_ca_topic_score_gemma":0.000595262,"domain_scores_codex":[0.9986743,0.0007853022,0.00005832624,0.0001573538,0.0002220398,0.0001027102],"domain_scores_gemma":[0.9954025,0.002982035,0.0002881182,0.000934244,0.0002090704,0.000184086],"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":[0.002098079,0.0003738684,0.01282116,0.001896688,0.0002413077,0.003833401,0.06070699,0.02799151,0.2673693,0.09430959,0.009268128,0.5190899],"study_design_scores_gemma":[0.0006659406,0.003782624,0.05032706,0.002097684,0.0004576267,0.01767121,0.03400271,0.2239216,0.1509109,0.1682005,0.3470331,0.0009290288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3065286,0.001299593,0.6629114,0.0007802439,0.0001732719,0.0002214751,0.0003484664,0.003217885,0.02451902],"genre_scores_gemma":[0.7901731,0.000663474,0.2049266,0.0001375339,0.0000519557,0.0002498356,0.0001694899,0.0003593831,0.003268707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008286824,"threshold_uncertainty_score":0.02772224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08541912644526621,"score_gpt":0.3751796995670214,"score_spread":0.2897605731217551,"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."}}