{"id":"W2055465094","doi":"10.1145/636886.636891","title":"Image-based reconstruction of spatial appearance and geometric detail","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":326,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bidirectional reflectance distribution function; Rendering (computer graphics); Computer science; Computer vision; Artificial intelligence; Computer graphics (images); Image-based modeling and rendering; Object (grammar); Real-time rendering; Global illumination; Representation (politics); Reflectivity; Optics","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":[0.000279385,0.0001321189,0.0001573359,0.0009451142,0.0001648538,0.00007026475,0.0003526029,0.00008611855,0.000008689633],"category_scores_gemma":[0.00004220713,0.0001377518,0.00009803782,0.001849844,0.0001313137,0.0002563167,0.000006660752,0.0001686001,0.000001173871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001012702,"about_ca_system_score_gemma":0.0000526099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003949065,"about_ca_topic_score_gemma":0.00002235224,"domain_scores_codex":[0.9989604,0.00008965039,0.0002663229,0.0003131311,0.0002208825,0.000149602],"domain_scores_gemma":[0.9989226,0.000109689,0.0001134006,0.0006113367,0.0001756597,0.00006724339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000309969,0.0006584603,0.006208665,0.0001855485,0.00009217388,0.000004989384,0.0001989564,0.0001475778,0.001237419,0.3951443,0.00004245298,0.5960484],"study_design_scores_gemma":[0.003420462,0.001963966,0.02974448,0.0004110296,0.0001136253,0.0001733546,0.00004810978,0.4837201,0.2842886,0.1911053,0.003485924,0.001525119],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01428359,0.0001250853,0.9848822,0.0001267592,0.0002109019,0.0001387743,0.000004221218,0.0001621879,0.00006625968],"genre_scores_gemma":[0.9010754,0.0002559277,0.09849481,0.0001407392,0.000005487931,0.000014277,6.454738e-7,0.000008657396,0.000004026358],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8867918,"threshold_uncertainty_score":0.5617356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756161796597139,"score_gpt":0.25623663401495,"score_spread":0.2386750160489786,"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."}}