{"id":"W3143113787","doi":"10.1109/visual.2001.964554","title":"4D space-time techniques: a medical imaging case study","year":2005,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Hospital and Health Sciences Centre; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Visualization; Volume rendering; Medical imaging; Rendering (computer graphics); Data visualization; Modalities; Context (archaeology); Modality (human–computer interaction); Computer vision; Artificial intelligence; Data set; Medical physics; Medicine","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":[0.0007574056,0.0001552419,0.0001636215,0.0002896317,0.0001819367,0.0003698814,0.0008336186,0.00005057346,0.0001539564],"category_scores_gemma":[0.00002613879,0.0001340894,0.00006364166,0.0006022077,0.00004778146,0.0004827839,0.0006455315,0.0001458216,0.00002620952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000299959,"about_ca_system_score_gemma":0.00009355587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001796745,"about_ca_topic_score_gemma":0.00006921094,"domain_scores_codex":[0.9984466,0.00009505117,0.0002996871,0.000428061,0.0004923387,0.0002382808],"domain_scores_gemma":[0.9989479,0.00006250323,0.00005914769,0.0006350744,0.0001136108,0.0001818064],"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":[0.000001418776,0.001029682,0.002650889,0.000006525697,0.00002488442,0.004871132,0.001722933,0.000001086501,0.00004431393,0.3687124,0.01901583,0.6019189],"study_design_scores_gemma":[0.0002612452,0.0001388662,0.00004327402,0.00002128931,0.000005412923,0.003704375,0.0001766597,0.9691598,0.002199418,0.00139466,0.02256899,0.0003260355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01288656,0.00003051508,0.9794592,0.002419656,0.0000502817,0.0003201563,2.624852e-7,0.002261507,0.002571847],"genre_scores_gemma":[0.8690528,0.000007835753,0.1287352,0.001733334,0.0001529378,0.00003974774,5.589297e-7,0.00001359558,0.0002640346],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9691587,"threshold_uncertainty_score":0.5468009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163553007546124,"score_gpt":0.3169611830180437,"score_spread":0.3053256529425825,"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."}}