{"id":"W4210632432","doi":"10.1109/mcg.2021.3132730","title":"Perception, Visual Inference, and Exploratory Visualization","year":2022,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Visualization; Inference; Perception; Exploratory research; Editorial board; Data science; Computer graphics (images); Human–computer interaction; Artificial intelligence; Library science; 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":[0.005981558,0.001074946,0.0008919865,0.002834966,0.001153129,0.01363475,0.00136837,0.002170084,0.008076182],"category_scores_gemma":[0.03070355,0.0008795774,0.0011173,0.002901549,0.007172354,0.01387284,0.003083452,0.003952416,0.001265583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711786,"about_ca_system_score_gemma":0.001694858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004072605,"about_ca_topic_score_gemma":0.003048361,"domain_scores_codex":[0.9967476,0.001474542,0.0001868868,0.0007034161,0.0006799045,0.0002075986],"domain_scores_gemma":[0.9855672,0.009439444,0.001041742,0.001739206,0.001584737,0.0006276644],"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":[0.000353356,0.00009267921,0.003431415,0.001255258,0.0002656937,0.0002383731,0.003373235,0.008572244,0.004664138,0.6051239,0.05943849,0.3131912],"study_design_scores_gemma":[0.00002088208,0.00003960667,0.001771061,0.0002071698,0.00003803027,0.0001468112,0.000652448,0.01895219,0.001072948,0.9461941,0.0308425,0.00006214505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02294933,0.04905725,0.8082407,0.04968246,0.004407191,0.0001461154,0.0007094466,0.004009011,0.06079851],"genre_scores_gemma":[0.5898124,0.03558246,0.3431576,0.004942111,0.00538715,0.0003140868,0.00116129,0.001815296,0.0178276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01363475,"threshold_uncertainty_score":0.03163391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210586647983647,"score_gpt":0.300828952018536,"score_spread":0.2787230855386996,"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."}}