{"id":"W2128127582","doi":"10.1109/wescan.1993.270569","title":"3-dimensional rendering of MR (magnetic resonance) images","year":2002,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer vision; Blob detection; Artificial intelligence; Computer science; Thresholding; Rendering (computer graphics); Computer graphics (images); Panorama; Shading; Gaussian; Edge detection; Image processing; Image (mathematics); Physics","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":[0.0004062903,0.0008709772,0.0004023525,0.0006363346,0.0002963592,0.001784026,0.0006184207,0.0005954056,0.02071336],"category_scores_gemma":[0.001500625,0.0003394676,0.000626278,0.0004135181,0.0002885176,0.0006508004,0.0009995364,0.0008164097,0.005144961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221078,"about_ca_system_score_gemma":0.0002601748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006501616,"about_ca_topic_score_gemma":0.0008631118,"domain_scores_codex":[0.999761,0.0000503,0.00001550234,0.00002388672,0.0001315582,0.00001775676],"domain_scores_gemma":[0.9995492,0.0001760172,0.00002270262,0.00008862965,0.0001136791,0.00004969142],"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":[0.0003632182,0.0001432351,0.0006928797,0.0005572601,0.00006178241,0.002050797,0.002259779,0.1094196,0.3257836,0.08232382,0.07199759,0.4043464],"study_design_scores_gemma":[0.0000893533,0.0001634184,0.001645699,0.0001094974,0.00004936883,0.002512617,0.0003109117,0.5109536,0.1247334,0.0321252,0.3271263,0.0001806863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008958003,0.000208501,0.9601877,0.0003788312,0.0003233866,0.0001051487,0.0005711248,0.008486088,0.02078108],"genre_scores_gemma":[0.1544836,0.001336704,0.8162061,0.0002907121,0.0002189916,0.0002208067,0.001262156,0.00317394,0.02280698],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02071336,"threshold_uncertainty_score":0.06929308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332789963481783,"score_gpt":0.2560234582553237,"score_spread":0.2326955586205059,"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."}}