{"id":"W1972807681","doi":"10.1145/1507149.1507186","title":"Multiscale 3D reference visualization","year":2009,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Grid; Frame of reference; Reference frame; Position (finance); Workspace; Metric (unit); Projection (relational algebra); Visualization; Vector graphics; Closeness; Orientation (vector space); Object (grammar); Computer graphics (images); Graphics; Frame (networking); Artificial intelligence; Algorithm; Geometry; Mathematics","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":[0.0006194575,0.0009705898,0.0009557137,0.002000325,0.0004224877,0.003772192,0.001320876,0.001140699,0.0307923],"category_scores_gemma":[0.002886843,0.000617773,0.0009571794,0.001997553,0.0004319867,0.001904376,0.003152879,0.00101765,0.009121046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005374771,"about_ca_system_score_gemma":0.000582426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003250464,"about_ca_topic_score_gemma":0.004933334,"domain_scores_codex":[0.9992648,0.0001049442,0.00003855669,0.0001268991,0.0004071417,0.00005756364],"domain_scores_gemma":[0.9991835,0.0001139204,0.00004026726,0.0003352315,0.0002666286,0.00006052948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001567855,0.00005888789,0.001170562,0.0003632871,0.0001526195,0.0003138264,0.0002955752,0.04112688,0.03802933,0.04819231,0.1815591,0.6885809],"study_design_scores_gemma":[0.00004263312,0.00005120783,0.001973975,0.0001668223,0.00005594993,0.000833559,0.0001176141,0.6187139,0.01906714,0.05130177,0.3075925,0.00008303596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006724459,0.003189751,0.9451814,0.001063781,0.0004797137,0.00009609569,0.001795133,0.01267636,0.02879333],"genre_scores_gemma":[0.2180607,0.006333572,0.7150258,0.0007214118,0.0003819268,0.0002053066,0.008670426,0.003751927,0.04684887],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0307923,"threshold_uncertainty_score":0.1030105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644980426726138,"score_gpt":0.3196101018581057,"score_spread":0.2931602975908443,"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."}}