{"id":"W2140554766","doi":"10.1109/titb.2007.907986","title":"Region of Interest and Multiresolution for Volume Rendering","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Information Technology in Biomedicine","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Rendering (computer graphics); Computer graphics (images); Computer science; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000127197,0.00008676229,0.0001425172,0.001833196,0.00009454544,0.000008205599,0.0002144903,0.0001360194,9.126131e-7],"category_scores_gemma":[0.000009853789,0.00008480562,0.00002708103,0.0009618535,0.0001811186,0.0005209554,0.0000055451,0.00011373,9.073981e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239068,"about_ca_system_score_gemma":0.00001982477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002039109,"about_ca_topic_score_gemma":0.000005846086,"domain_scores_codex":[0.9992839,0.000009386461,0.0003978729,0.0001190469,0.0000745697,0.0001152072],"domain_scores_gemma":[0.9994644,0.0000332304,0.000139416,0.0002275942,0.0001103187,0.00002506719],"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":[0.000100405,0.0003537159,0.001106279,0.0002963055,0.00005157572,0.000006659902,0.004474586,0.0002522881,0.003290183,0.3255568,0.00122531,0.6632859],"study_design_scores_gemma":[0.002722603,0.001708928,0.001579007,0.0003205999,0.00001065217,0.0003155112,0.000252732,0.8605216,0.1111397,0.01677463,0.004322293,0.0003318105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02293553,0.00002233697,0.9747579,0.001573577,0.0001713929,0.0002522312,0.000003784984,0.0002698488,0.00001344103],"genre_scores_gemma":[0.9826858,0.0002247328,0.01691339,0.00009251991,0.000005054504,0.00006130466,0.000003487772,0.000003118228,0.00001059451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9597503,"threshold_uncertainty_score":0.3458273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04257453789257237,"score_gpt":0.27855993928929,"score_spread":0.2359854013967176,"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."}}