{"id":"W4283205064","doi":"10.1145/3544778","title":"ConTesse: Accurate Occluding Contours for Subdivision Surfaces","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Subdivision; Visibility; Rendering (computer graphics); Subdivision surface; Computer science; Computation; Triangle mesh; Computer vision; Computer graphics (images); Surface (topology); Polygon mesh; Artificial intelligence; Algorithm; Mathematics; Geometry; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001734474,0.0001675419,0.000220007,0.0002285204,0.0004708711,0.00002417213,0.0003234131,0.00004905519,0.00008880251],"category_scores_gemma":[0.00003141709,0.0001781803,0.0001941186,0.0006699403,0.00004021785,0.0001591876,0.000007839243,0.0003605539,0.00000250778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000777552,"about_ca_system_score_gemma":0.00000803239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001248197,"about_ca_topic_score_gemma":0.00002231501,"domain_scores_codex":[0.9990636,0.00003314039,0.000230874,0.0002159519,0.0002110157,0.0002454301],"domain_scores_gemma":[0.9990767,0.0003999422,0.00004188299,0.000365959,0.00005311771,0.00006245115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002110281,0.0003934813,0.0003268243,0.0001394457,0.0006072678,0.00001171383,0.0004750105,0.881312,0.02925914,0.00527012,0.003018337,0.07897569],"study_design_scores_gemma":[0.002346762,0.001273933,0.0009963716,0.00007773555,0.0004975913,0.000025146,0.001516585,0.7018533,0.1043618,0.0654195,0.1196459,0.001985337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03954183,0.0002507837,0.9581528,0.0003932721,0.0002257892,0.0003051043,0.0001482643,0.0009031575,0.00007902685],"genre_scores_gemma":[0.9915528,0.0002991979,0.007516746,0.0001719956,0.00001243776,0.0003076689,0.00002186126,0.00004587049,0.00007136379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.952011,"threshold_uncertainty_score":0.7265983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851351786543519,"score_gpt":0.2836836838026272,"score_spread":0.255170165937192,"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."}}