{"id":"W4400582013","doi":"10.1145/3641519.3657419","title":"Reach for the Arcs: Reconstructing Surfaces from SDFs via Tangent Points","year":2024,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Tangent; Computer science; Computer vision; Artificial intelligence; Geometry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004019712,0.00009654291,0.00008900071,0.00007795729,0.0001437821,0.0005706425,0.0006199057,0.00003642845,0.00003215286],"category_scores_gemma":[0.00001649603,0.0000627317,0.00008430341,0.0003170981,0.00002768253,0.0002404621,0.0002046695,0.00007472306,0.000009170785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000155354,"about_ca_system_score_gemma":0.00003013697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001860139,"about_ca_topic_score_gemma":0.00003235971,"domain_scores_codex":[0.9991517,0.00003062112,0.0001951783,0.000336494,0.0001390786,0.000146906],"domain_scores_gemma":[0.9989599,0.0005322015,0.00003473256,0.0003734186,0.00006421311,0.00003551886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001053461,0.00001039843,0.000309669,0.00001334906,0.00004483415,0.000001787848,0.0005792004,0.000003332703,0.0002618717,0.7196625,0.006231733,0.2728802],"study_design_scores_gemma":[0.00004198032,0.0000277895,0.0001610077,0.00003519244,0.000006093872,0.000005823216,0.00002579648,0.850594,0.005743751,0.1151451,0.02810927,0.0001042211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003261188,0.0009403473,0.9919039,0.00165895,0.0008495454,0.0002258774,0.000006148025,0.0007133567,0.0004406826],"genre_scores_gemma":[0.6832485,0.0001790356,0.3151187,0.0008141699,0.0002510271,0.00006238134,0.000008871393,0.00001949082,0.0002977963],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8505906,"threshold_uncertainty_score":0.5502719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170543352525712,"score_gpt":0.3022860871007542,"score_spread":0.2705806535754971,"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."}}