{"id":"W2138849239","doi":"10.1109/tgrs.2008.916223","title":"Comparing Statistical and Neural Network Methods Applied to Very High Resolution Satellite Images Showing Changes in Man-Made Structures at Rocky Flats","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Istituto Nazionale di Geofisica e Vulcanologia; University of British Columbia","keywords":"Satellite; Computer science; Land cover; Remote sensing; Satellite imagery; Parametric statistics; Artificial neural network; Architecture; Demolition; Artificial intelligence; High resolution; Image resolution; Pattern recognition (psychology); Land use; Geology; Geography; Statistics; Mathematics; Archaeology; Engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002830853,0.0005652905,0.0002923283,0.002050209,0.0002594975,0.0007120038,0.0004108709,0.000600654,0.0009557005],"category_scores_gemma":[0.00658448,0.0001819432,0.0003647011,0.001207034,0.0003770532,0.0007281392,0.0004212909,0.0003472188,0.0002526705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008514962,"about_ca_system_score_gemma":0.0004768678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310893,"about_ca_topic_score_gemma":0.01921329,"domain_scores_codex":[0.9994492,0.0002155469,0.00004161296,0.00008667809,0.0001557729,0.00005125838],"domain_scores_gemma":[0.9959974,0.002706926,0.0002163396,0.0001659043,0.0008411124,0.00007227268],"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":[0.001377071,0.000426425,0.05573452,0.0001997853,0.0003659517,0.0001579938,0.0001967215,0.4348692,0.01871957,0.001632972,0.001760017,0.4845598],"study_design_scores_gemma":[0.00001426246,0.0000873497,0.02076546,0.000007266119,0.00002660884,0.00002563901,0.00007322986,0.9748701,0.003383268,0.0005060984,0.0002274065,0.00001327126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8548737,0.0006016867,0.1387199,0.0003763356,0.0001282743,0.00009434617,0.000234357,0.0007625776,0.004208688],"genre_scores_gemma":[0.9404625,0.000242527,0.05750952,0.00004051619,0.00004287095,0.00005196733,0.0002492798,0.00004864624,0.001352232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01310893,"threshold_uncertainty_score":0.02606529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409280825285593,"score_gpt":0.2682758531837943,"score_spread":0.2341830449309383,"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."}}