{"id":"W1969903290","doi":"10.1016/j.ijleo.2011.06.018","title":"Image difference detection under varying illumination based on vector space and correlations","year":2011,"lang":"en","type":"article","venue":"Optik","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación","keywords":"Robustness (evolution); Computer science; Invariant (physics); Artificial intelligence; Image (mathematics); Computer vision; Algorithm; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006497604,0.0003461086,0.0005254376,0.0009607006,0.0002434133,0.0007683127,0.0003526186,0.0003737021,0.0005998236],"category_scores_gemma":[0.002247244,0.0002073603,0.0003866181,0.00110924,0.0004901109,0.0009140858,0.0004281493,0.0004820741,0.0002133204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002851387,"about_ca_system_score_gemma":0.0005562251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009473852,"about_ca_topic_score_gemma":0.001373001,"domain_scores_codex":[0.9995777,0.0001059094,0.00001972532,0.00008531334,0.0001569769,0.00005433738],"domain_scores_gemma":[0.9988897,0.0005547809,0.0001646017,0.00009176751,0.0002440924,0.00005500401],"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":[0.001693588,0.0003149611,0.01902687,0.0003188374,0.0002005081,0.0003492692,0.0003431313,0.06800705,0.3368356,0.01408118,0.002490098,0.5563389],"study_design_scores_gemma":[0.00003684022,0.000188676,0.02418531,0.00002056603,0.00007973007,0.0004765036,0.00007670857,0.9111403,0.05953397,0.003332893,0.0008765478,0.00005202463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3689484,0.0004229678,0.6281649,0.000167558,0.00005643218,0.00005020504,0.0001554883,0.000393762,0.001640331],"genre_scores_gemma":[0.8979419,0.000331322,0.1007514,0.00003955123,0.00004787598,0.00003457317,0.0002057872,0.00004346629,0.0006041318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009607006,"threshold_uncertainty_score":0.003436327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330660881830407,"score_gpt":0.2094964727967641,"score_spread":0.18618986397846,"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."}}