{"id":"W2069671098","doi":"10.1145/1242073.1242245","title":"Probabilistically placing primitives","year":2002,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rendering (computer graphics); Grayscale; Computer science; Tone mapping; Computation; Computer vision; Computer graphics (images); Image (mathematics); Artificial intelligence; Image quality; Algorithm; High dynamic range","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":[0.001226963,0.001359308,0.001155847,0.00130417,0.001213062,0.002361587,0.002310389,0.001901489,0.01843437],"category_scores_gemma":[0.007050914,0.00133131,0.001215899,0.001250303,0.001488297,0.002723691,0.003275532,0.001732178,0.005456901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021018,"about_ca_system_score_gemma":0.0014151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705671,"about_ca_topic_score_gemma":0.004822549,"domain_scores_codex":[0.9985666,0.0002303484,0.00006128543,0.0003692108,0.0006115199,0.0001610699],"domain_scores_gemma":[0.9982457,0.0006656157,0.0001536378,0.0005929372,0.0002504802,0.00009158092],"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":[0.000753972,0.0001230082,0.002057188,0.0005634541,0.0000659237,0.0004582982,0.0006899135,0.4092649,0.09051848,0.1951855,0.007847261,0.2924721],"study_design_scores_gemma":[0.0001000163,0.0002152856,0.000978822,0.0000976891,0.00005364886,0.0006668547,0.0001769517,0.8008828,0.05515094,0.1028255,0.0387191,0.0001323724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009654704,0.0001507444,0.981708,0.0001065272,0.00007044316,0.0001245223,0.0001174337,0.001450889,0.006616696],"genre_scores_gemma":[0.3075071,0.000403534,0.6750638,0.0001018666,0.00005773531,0.000203993,0.00041669,0.001082082,0.01516312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01843437,"threshold_uncertainty_score":0.06166911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255010256893275,"score_gpt":0.266208025969198,"score_spread":0.2336579234002653,"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."}}