{"id":"W4386707618","doi":"10.32920/24132864","title":"Augmented Reality Based Brain Tumor 3D Visualization","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Augmented reality; Computer vision; Artificial intelligence; Computer science; Pose; Orientation (vector space); Visualization; Face (sociological concept); Position (finance); Calibration; Set (abstract data type); Computer graphics (images); Mathematics","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":[0.0002518172,0.0008750395,0.0005146887,0.0008042062,0.0001867065,0.001381423,0.0006036708,0.0007611237,0.007580598],"category_scores_gemma":[0.0009666378,0.000531343,0.0008767767,0.0004738087,0.0003048783,0.0007050658,0.001272861,0.0007891742,0.002229484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002249507,"about_ca_system_score_gemma":0.0002923311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272826,"about_ca_topic_score_gemma":0.001589053,"domain_scores_codex":[0.9995672,0.0001040308,0.00002034332,0.00007009397,0.0002012038,0.00003701041],"domain_scores_gemma":[0.9995769,0.0001263169,0.00005181504,0.0001224298,0.00009884175,0.00002381564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009727881,0.0001624303,0.002024653,0.0005301049,0.0002301921,0.002090821,0.0008171336,0.05791078,0.275807,0.005802621,0.02097743,0.6326741],"study_design_scores_gemma":[0.0001832265,0.0008285049,0.01027591,0.0001713856,0.0003001589,0.01001806,0.0003487517,0.6231318,0.236004,0.007859709,0.1105453,0.0003333981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06513236,0.00181132,0.9103917,0.0005385198,0.0003580274,0.000103488,0.0009658681,0.01044243,0.01025623],"genre_scores_gemma":[0.5602273,0.002427744,0.4230047,0.0003108999,0.0001985695,0.0001577388,0.001578112,0.0008130839,0.0112818],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007580598,"threshold_uncertainty_score":0.02535969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0655755999985169,"score_gpt":0.3475973542645168,"score_spread":0.2820217542659999,"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."}}