{"id":"W2166502676","doi":"10.1109/tpami.2006.18","title":"On the removal of shadows from images","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":660,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial intelligence; Computer vision; Standard illuminant; Shadow (psychology); Pixel; Shadow mapping; Computer science; Representation (politics); Image (mathematics); Grayscale; Image restoration; Mathematics; Pattern recognition (psychology); Image processing","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":[0.0001360738,0.0001460701,0.000210105,0.0002348348,0.0001495243,0.00007567091,0.0004217801,0.00002562641,0.0001726347],"category_scores_gemma":[0.000004541864,0.00009657431,0.0001931514,0.0006585785,0.00007469363,0.0001521885,0.000005375585,0.0001843985,0.00002196683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001216956,"about_ca_system_score_gemma":0.000007332681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002229772,"about_ca_topic_score_gemma":0.0003541167,"domain_scores_codex":[0.9989081,0.00006589499,0.0002924863,0.0003537596,0.0002398034,0.000139957],"domain_scores_gemma":[0.9989855,0.0003143961,0.0001019472,0.0005089541,0.00004789042,0.00004134736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007632204,0.0001262207,0.0001059422,0.000002486004,0.0001170145,0.00001236298,0.00009568307,0.01557072,0.002119989,0.000859149,0.00003323486,0.9809496],"study_design_scores_gemma":[0.00009422209,0.00008638937,0.001935702,0.00003720132,0.0001852922,0.00001012839,0.00004854729,0.4936147,0.4943312,0.009169127,0.0002518086,0.0002357365],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004148793,0.0001426436,0.9940695,0.0009099535,0.00009191387,0.00006194154,0.00003990694,0.0000391594,0.0004961776],"genre_scores_gemma":[0.9935665,0.0001072214,0.005435186,0.0005792598,0.00001277118,0.000005080918,0.000002307926,0.000005910059,0.0002858274],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9894176,"threshold_uncertainty_score":0.3938186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466433899117026,"score_gpt":0.2657386000601439,"score_spread":0.2510742610689737,"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."}}