{"id":"W4387211949","doi":"10.1007/978-3-031-43987-2_11","title":"Whole-Heart Reconstruction with Explicit Topology Integrated Learning","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Point cloud; Polygon mesh; Topology (electrical circuits); Pipeline (software); Metric (unit); Surface reconstruction; Visualization; Topology optimization; Artificial intelligence; Surface (topology); Theoretical computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000770024,0.000501018,0.0005415014,0.001680449,0.0003490885,0.0006126789,0.001929414,0.0003667658,0.00001423958],"category_scores_gemma":[0.00005653517,0.000434019,0.0001081222,0.001591061,0.0005588073,0.0005550194,0.0009387688,0.001139403,0.00004421022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171366,"about_ca_system_score_gemma":0.0004354421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004625881,"about_ca_topic_score_gemma":0.00008342101,"domain_scores_codex":[0.996631,0.00006645164,0.0005090351,0.001543092,0.0006739929,0.000576482],"domain_scores_gemma":[0.9978376,0.0003299481,0.0002980479,0.0009645229,0.0004259108,0.0001439691],"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":[0.000008741749,0.00002193304,0.0004045682,0.00003536481,0.00002228016,0.00007179705,0.000739255,0.00556163,0.0001673345,0.3124601,0.00007539735,0.6804316],"study_design_scores_gemma":[0.0002923151,0.0007850207,0.0002269353,0.0008495118,0.000009246765,0.0003807993,0.000001048785,0.8020084,0.001618584,0.1830825,0.009755329,0.0009903398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001470178,0.00006104467,0.9957596,0.0006420242,0.001285117,0.0003212255,0.000002305972,0.001067403,0.0007142315],"genre_scores_gemma":[0.1212958,0.0001837338,0.8729457,0.002086822,0.0007623765,0.0000586021,0.0000416089,0.0001668094,0.002458606],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7964467,"threshold_uncertainty_score":0.9998112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043677063833633,"score_gpt":0.2685875197203557,"score_spread":0.2481507490820193,"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."}}