{"id":"W4413788839","doi":"10.1111/cgf.70194","title":"One‐Shot Method for Computing Generalized Winding Numbers","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics (images); Shot (pellet); One shot; Theoretical computer science; Computational science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001065542,0.0003897727,0.0005542973,0.001115413,0.0007120344,0.0007113302,0.002006549,0.0002237848,0.000002428223],"category_scores_gemma":[0.00002643166,0.0004457156,0.0004648218,0.002260073,0.00007985723,0.0004347342,0.001209513,0.0002873933,0.000002442432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000592928,"about_ca_system_score_gemma":0.000129121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004882478,"about_ca_topic_score_gemma":0.00002040254,"domain_scores_codex":[0.9969047,0.0001894353,0.0007350203,0.0010289,0.0003577972,0.0007841339],"domain_scores_gemma":[0.9975834,0.0005274484,0.0002642877,0.001042881,0.0004241401,0.0001578671],"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":[0.000007073498,0.00009763835,0.001001995,0.00006933399,0.0001206558,0.000001695097,0.0001984775,0.0000864996,0.00007035163,0.9468435,0.01036708,0.04113569],"study_design_scores_gemma":[0.0007396216,0.0001114654,0.0004930408,0.0001367222,0.00002338934,0.000005609076,0.000007205672,0.7735347,0.001802876,0.1968805,0.02586059,0.0004043168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006704435,0.0001881681,0.9929464,0.001749611,0.001856934,0.0007970021,0.000007395665,0.001246694,0.0005373433],"genre_scores_gemma":[0.08864608,0.00005489235,0.9026598,0.008184552,0.0002210155,0.00006629575,0.00003776584,0.00003932565,0.00009024048],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7734482,"threshold_uncertainty_score":0.9997995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04781776850817503,"score_gpt":0.3622869660720448,"score_spread":0.3144691975638698,"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."}}