{"id":"W4400255207","doi":"10.20944/preprints202406.1960.v1","title":"GPU Accelerated Volume Renderer for Use with MATLAB","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Visualization; MATLAB; Rendering (computer graphics); Workflow; Volume rendering; Computer graphics (images); Data visualization; Computational science; Artificial intelligence; Operating system; Database","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":[0.0009229972,0.001271209,0.0008658214,0.0008326191,0.0004277132,0.00223216,0.002486508,0.0009664624,0.06500769],"category_scores_gemma":[0.005366161,0.0007062266,0.001007349,0.0007109451,0.0003930332,0.001253967,0.001583283,0.002432329,0.02196343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005285121,"about_ca_system_score_gemma":0.001480362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661673,"about_ca_topic_score_gemma":0.001664929,"domain_scores_codex":[0.9992781,0.0001055771,0.00006816609,0.00009686757,0.0003910479,0.00006017581],"domain_scores_gemma":[0.9986011,0.000508484,0.00009331457,0.0002450212,0.0004747554,0.00007727946],"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":[0.0008029899,0.0002427887,0.00134905,0.00119223,0.0001932507,0.001391026,0.001177741,0.06696703,0.08806458,0.08336513,0.3343894,0.4208647],"study_design_scores_gemma":[0.0003275801,0.00009808977,0.0006777534,0.0002124833,0.00004895149,0.0009166514,0.0000764106,0.4306292,0.08545697,0.02307387,0.4583551,0.0001270231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002008453,0.000178031,0.8853931,0.0002021465,0.0002214704,0.0001508072,0.001671251,0.0984635,0.01171121],"genre_scores_gemma":[0.04878225,0.0005730321,0.8823041,0.000284323,0.000128336,0.001011981,0.005356862,0.03891614,0.02264293],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06500769,"threshold_uncertainty_score":0.2174724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1864996688348358,"score_gpt":0.3764499579101357,"score_spread":0.1899502890753,"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."}}