{"id":"W2169838365","doi":"10.1109/civemsa.2014.6841433","title":"ImmerVol: An immersive volume visualization system","year":2014,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Volume rendering; Visualization; Rendering (computer graphics); Artificial intelligence; Computer vision; Ray casting; Computer graphics (images); Volume (thermodynamics)","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":[0.0008245383,0.0008553235,0.0007148586,0.0008736802,0.0002440012,0.001061581,0.001894085,0.0006719419,0.0179361],"category_scores_gemma":[0.002016091,0.0006969108,0.0007224435,0.0004219343,0.0002990861,0.001402648,0.003296987,0.0009747402,0.003090803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208158,"about_ca_system_score_gemma":0.000438188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008084445,"about_ca_topic_score_gemma":0.001262733,"domain_scores_codex":[0.9996579,0.00005729202,0.00002638049,0.0000588924,0.0001692518,0.00003043444],"domain_scores_gemma":[0.9993895,0.0002354413,0.00003641256,0.0001393485,0.0001175836,0.00008159252],"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":[0.002220136,0.0006026078,0.003883239,0.001138819,0.000494423,0.001557653,0.001224698,0.020542,0.2001471,0.01513099,0.2048434,0.548215],"study_design_scores_gemma":[0.001402632,0.001374121,0.009656284,0.0002964252,0.0002989781,0.004859693,0.0003586567,0.4106753,0.1268085,0.0253894,0.418239,0.0006409466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01987462,0.0005876595,0.8024816,0.0003235959,0.0002524758,0.0003969525,0.006123692,0.1622738,0.007685619],"genre_scores_gemma":[0.2822395,0.001323205,0.6582502,0.001270808,0.0002896217,0.00139101,0.02000443,0.01740352,0.01782786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0179361,"threshold_uncertainty_score":0.06000227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192029929481189,"score_gpt":0.2716455167835065,"score_spread":0.2597252174886946,"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."}}