{"id":"W2706146898","doi":"10.1299/jsmecmd.2014.27.202","title":"Information visualization to analyze large scale scientific data","year":2014,"lang":"en","type":"article","venue":"Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Information visualization; Data science; Scale (ratio); Visualization; Computer science; Data visualization; Information retrieval; Data mining; Geography; Cartography","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":[0.004538809,0.001373193,0.0009370427,0.007496611,0.001293607,0.005283932,0.001107835,0.001241994,0.01614364],"category_scores_gemma":[0.01405483,0.0006300731,0.001602486,0.007561083,0.001051323,0.004334765,0.002750248,0.001959386,0.003685305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441202,"about_ca_system_score_gemma":0.002663974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003850078,"about_ca_topic_score_gemma":0.004462474,"domain_scores_codex":[0.9979517,0.001012419,0.0001673235,0.0002022472,0.0005480578,0.0001183902],"domain_scores_gemma":[0.9921266,0.004464573,0.0005829716,0.001228432,0.001262244,0.000335287],"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":[0.0003689053,0.0003385606,0.007066866,0.002682311,0.0006617092,0.0006728524,0.003513609,0.02269117,0.01466594,0.1482845,0.1469546,0.6520991],"study_design_scores_gemma":[0.0001727992,0.0001606931,0.006462328,0.0007079465,0.0002581999,0.0008485222,0.002281839,0.3351787,0.01741661,0.4388643,0.1974348,0.0002133002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01163127,0.00540386,0.9294425,0.006545814,0.0006415005,0.0005508579,0.003400899,0.02344896,0.01893436],"genre_scores_gemma":[0.1984093,0.004846669,0.7827905,0.000893727,0.0005210332,0.001122216,0.003283999,0.001809651,0.006322994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01614364,"threshold_uncertainty_score":0.05400586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988514948266043,"score_gpt":0.295913087365233,"score_spread":0.2760279378825726,"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."}}