{"id":"W1992679763","doi":"10.1109/tvcg.2013.156","title":"Evaluation of Static and Dynamic Visualization Training Approaches for Users with Different Spatial Abilities","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Computer science; Visualization; Spatial ability; Task (project management); Mental rotation; Human–computer interaction; Artificial intelligence; Cognition; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001971431,0.0001566867,0.0001645024,0.0002361945,0.0001088324,0.0000613657,0.00002912348,0.00007190604,0.00001933132],"category_scores_gemma":[0.000003756453,0.0001441234,0.00003252325,0.0001899436,0.00007557027,0.0002077995,6.294329e-7,0.00005747533,3.064401e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003058294,"about_ca_system_score_gemma":0.00001883434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002160817,"about_ca_topic_score_gemma":0.0001261172,"domain_scores_codex":[0.9990679,0.00008727281,0.0002516985,0.0001751998,0.0003068979,0.0001110554],"domain_scores_gemma":[0.9994214,0.00009885604,0.00006046374,0.00007663576,0.0002873707,0.00005531986],"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":[0.0001805293,0.0006126261,0.0005965162,0.001672338,0.000708847,2.201691e-7,0.02366356,0.1962758,0.0005813672,0.06729143,0.00004646389,0.7083703],"study_design_scores_gemma":[0.001096297,0.0003005604,0.002663332,0.00008175285,0.0001516866,0.000001911977,0.0005213143,0.9924127,0.001417897,0.001184053,0.000005286081,0.0001632061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3998478,0.0000176867,0.5994427,0.000006380665,0.00008939626,0.0005054097,0.00001324094,0.00006944487,0.000007940072],"genre_scores_gemma":[0.999257,0.00007985979,0.00028235,0.00003970285,0.00001502064,0.0002226722,0.00007195249,0.00002857394,0.00000283259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7961369,"threshold_uncertainty_score":0.5877181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04987958840661985,"score_gpt":0.2704719661249601,"score_spread":0.2205923777183402,"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."}}