{"id":"W2101454927","doi":"10.1117/12.911684","title":"Visualizing the path of blood flow in static vessel images for image guided surgery of cerebral arteriovenous malformations","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Clipping (morphology); Arteriovenous malformation; Intracranial Arteriovenous Malformations; Radiology; Computer vision; Surgery; Artificial intelligence; Computer science; Angiography; Cerebral angiography","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":[0.00025365,0.000348095,0.0001600791,0.001187594,0.0001853627,0.0008551193,0.0003233181,0.0003676961,0.002945822],"category_scores_gemma":[0.00105299,0.0002651178,0.0002367686,0.0003824556,0.0002130372,0.0004291561,0.000412853,0.0003952152,0.0005483185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984294,"about_ca_system_score_gemma":0.0003908534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007593629,"about_ca_topic_score_gemma":0.00144841,"domain_scores_codex":[0.9999141,0.00002005308,0.000005384938,0.00000830707,0.00004032319,0.00001197699],"domain_scores_gemma":[0.9997585,0.0001060232,0.00002354326,0.00002983371,0.00005260434,0.00002946103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005570438,0.0001249531,0.002048796,0.0003810853,0.00003586199,0.0007765307,0.0004003101,0.01731755,0.5493203,0.003107657,0.003188783,0.422741],"study_design_scores_gemma":[0.0000742502,0.0005655608,0.02150251,0.0001792293,0.0001533111,0.004502938,0.0004135952,0.4297506,0.5136604,0.006217353,0.02282828,0.0001519644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1500448,0.0006797392,0.8413906,0.0003325823,0.00008335951,0.000129224,0.0002971909,0.002890398,0.004152202],"genre_scores_gemma":[0.4122131,0.001057051,0.5842915,0.000086994,0.00004432541,0.00009126653,0.0002202493,0.0003268356,0.001668712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002945822,"threshold_uncertainty_score":0.009854734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671531086832716,"score_gpt":0.2584311846212461,"score_spread":0.2417158737529189,"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."}}