{"id":"W2048503982","doi":"10.1145/2766988","title":"The SGGX microflake distribution","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche; Nvidia","keywords":"Interpolation (computer graphics); Computer science; Representation (politics); Distribution (mathematics); Sampling (signal processing); Ellipsoid; Linear interpolation; Interpretation (philosophy); Algorithm; Mathematics; Artificial intelligence; Computer vision; Mathematical analysis; Pattern recognition (psychology); Image (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002988076,0.0004935384,0.0002628877,0.0005960478,0.0003066083,0.000846512,0.0006059273,0.0005356738,0.003746248],"category_scores_gemma":[0.0007725669,0.0001757838,0.0002368592,0.0003592751,0.0009043209,0.001334166,0.0005820969,0.0005797896,0.0007292316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006730725,"about_ca_system_score_gemma":0.0003218195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192884,"about_ca_topic_score_gemma":0.0006957047,"domain_scores_codex":[0.9998549,0.00002881587,0.000003935056,0.00003193817,0.00005568597,0.00002469387],"domain_scores_gemma":[0.9997572,0.00006416385,0.00003457596,0.00004608891,0.00006694114,0.00003095715],"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":[0.0002099756,0.00005585156,0.002824397,0.000148296,0.00001725802,0.0006138966,0.000261145,0.1260778,0.1228845,0.6737635,0.005236082,0.06790733],"study_design_scores_gemma":[0.00002678282,0.00007284486,0.002294821,0.00002159954,0.00000668922,0.0005833713,0.0001011164,0.870317,0.02467769,0.090085,0.01177001,0.00004299757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1353157,0.000559032,0.8421501,0.0005234533,0.0001428909,0.00007500558,0.0002998919,0.000730574,0.02020345],"genre_scores_gemma":[0.8639101,0.0005605637,0.1186562,0.0002697687,0.00008318479,0.0001090955,0.0002427049,0.0003094362,0.01585886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003746248,"threshold_uncertainty_score":0.01253241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640639487122813,"score_gpt":0.2911599170267217,"score_spread":0.2547535221554936,"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."}}