{"id":"W2912481189","doi":"10.1109/mcg.2019.2898941","title":"A Walk Among the Data","year":2019,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Virtual reality; Human–computer interaction; Data visualization; Visualization; Unit (ring theory); Data exploration; Multimedia; Computer graphics (images); Artificial intelligence","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":[0.006552081,0.001066628,0.0007870635,0.005054818,0.004074288,0.01145913,0.001769399,0.002279659,0.02320716],"category_scores_gemma":[0.04711786,0.0008317806,0.00121858,0.00590277,0.002576308,0.01518702,0.009516699,0.005981748,0.0116562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123713,"about_ca_system_score_gemma":0.002727643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005575022,"about_ca_topic_score_gemma":0.0103641,"domain_scores_codex":[0.9942597,0.002371033,0.0003323992,0.001222216,0.001591079,0.0002236009],"domain_scores_gemma":[0.9769456,0.01054399,0.0009489759,0.006329381,0.003310458,0.001921679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006212546,0.0003016119,0.01594089,0.001528028,0.0002786635,0.002042285,0.01167379,0.00269924,0.008190326,0.170669,0.2895674,0.4964876],"study_design_scores_gemma":[0.00004059986,0.0001392599,0.002245801,0.0007873131,0.00004977659,0.0008166927,0.005853035,0.003075841,0.001922992,0.1376982,0.8472479,0.0001225216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04903468,0.02386503,0.5798671,0.1905375,0.01171256,0.001454627,0.02982086,0.01482272,0.09888486],"genre_scores_gemma":[0.217944,0.01068195,0.6647533,0.02831637,0.002226772,0.00095011,0.01707188,0.005546514,0.05250906],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02320716,"threshold_uncertainty_score":0.07763571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973118019729208,"score_gpt":0.2870278564335315,"score_spread":0.2572966762362394,"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."}}