{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008533275,0.00006170848,0.00006162887,0.00007440865,0.00006104851,0.0001507304,0.0003698728,0.0000236436,0.0001271004],"category_scores_gemma":[0.00002299205,0.00005239316,0.00002962547,0.0002619794,0.00002241202,0.0002277381,0.0001558043,0.00004203711,0.00004417824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007635131,"about_ca_system_score_gemma":0.000004786261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000190134,"about_ca_topic_score_gemma":7.598514e-7,"domain_scores_codex":[0.9994192,0.00002096241,0.0001172276,0.000201884,0.0001208122,0.0001199421],"domain_scores_gemma":[0.999572,0.00004808981,0.0000223053,0.0002484342,0.00006035187,0.00004876792],"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":[8.765277e-8,0.00003375053,0.000142449,0.000002809302,0.00000175772,0.000001506734,0.0001508118,7.90888e-7,0.00003074614,0.9831187,0.001621137,0.01489551],"study_design_scores_gemma":[0.00009481369,0.00008417815,0.0007916026,0.00001260116,0.000001134215,0.00001018179,0.000003181122,0.9205955,0.002525392,0.06212544,0.01358923,0.0001667371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005159538,0.00001578,0.9644439,0.0002913214,0.00005151581,0.00007997463,1.434647e-7,0.0006769297,0.03392453],"genre_scores_gemma":[0.8061402,0.00001939273,0.1925806,0.0006458354,0.00002634794,0.000009903936,3.071029e-7,0.00000428847,0.0005731072],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9209932,"threshold_uncertainty_score":0.2136531,"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."}}