{"id":"W4327565197","doi":"10.1016/j.srs.2023.100082","title":"De-noised and contrast enhanced KH-9 HEXAGON mapping and panoramic camera images for urban research","year":2023,"lang":"en","type":"article","venue":"Science of Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Contrast (vision); Computer vision; Artificial intelligence; Art; Computer science; Computer graphics (images)","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":[0.002062649,0.000102054,0.0001541088,0.0001979563,0.000711254,0.0001385526,0.0001470798,0.0000457604,0.000003234758],"category_scores_gemma":[0.000388694,0.00009871639,0.0000251168,0.001276227,0.002146804,0.0001678131,0.0001757378,0.0001311558,0.00001336719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014836,"about_ca_system_score_gemma":0.00006179899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007371845,"about_ca_topic_score_gemma":0.00002844088,"domain_scores_codex":[0.9983187,0.00005558176,0.0001805509,0.0004863846,0.0004004885,0.0005583421],"domain_scores_gemma":[0.9991984,0.0002525472,0.00007030406,0.0002606486,0.00006856753,0.0001494966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004730049,0.00000225136,0.00005898034,0.00001010143,0.000001256296,8.983607e-7,0.0009363501,0.00004485513,0.7023248,0.00001468122,0.0001918265,0.2964092],"study_design_scores_gemma":[0.0005531466,0.0001103153,0.03837328,0.0001790952,0.00001211951,0.0000457052,0.003932585,0.3446913,0.6034885,0.006236223,0.002055465,0.0003222782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783338,0.00003174461,0.01696513,0.0007501607,0.00005055829,0.0003448908,0.00000338727,0.00005402552,0.003466316],"genre_scores_gemma":[0.9500355,0.00004627691,0.04950734,0.00003322095,0.00002993878,1.168144e-7,0.000001627387,0.00001200887,0.0003339986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3446465,"threshold_uncertainty_score":0.7909989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820166268990716,"score_gpt":0.3092457611526246,"score_spread":0.2810440984627174,"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."}}