{"id":"W3161152678","doi":"10.18280/ts.380224","title":"Object Recognition in Remote Sensing Images Based on Modified Backpropagation Neural Network","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Robustness (evolution); Backpropagation; Artificial intelligence; Artificial neural network; Benchmark (surveying); Deep learning; Convolutional neural network; Pattern recognition (psychology); Remote sensing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003216852,0.0002021643,0.0001852617,0.0001290089,0.0000658804,0.00009945815,0.00005293097,0.0000835804,0.00006657483],"category_scores_gemma":[0.00005480241,0.0002324714,0.00006755704,0.0004064989,0.00002485609,0.0001560518,0.000009199673,0.0002339392,0.00004135006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002076394,"about_ca_system_score_gemma":0.00003303564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001379908,"about_ca_topic_score_gemma":0.00002207981,"domain_scores_codex":[0.9985643,0.0001651355,0.0003757212,0.0003062137,0.0002705156,0.000318117],"domain_scores_gemma":[0.9994451,0.0001310444,0.00005958786,0.0002149901,0.0001021611,0.00004710577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003901316,0.00001979518,0.00001699826,0.00004138523,0.000009132449,0.00006340337,0.00005237015,0.6375257,0.114137,0.000003189956,0.0003880837,0.2477039],"study_design_scores_gemma":[0.0007198551,0.00003527898,0.005269958,0.0001895947,0.00001718069,0.00001115954,0.00002517196,0.9399514,0.05316231,0.0003253308,0.00006546674,0.0002272546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4940552,0.00008665372,0.497565,0.0006028207,0.0005872701,0.00046598,0.0000124216,0.0004928059,0.006131788],"genre_scores_gemma":[0.9810045,0.00001128541,0.01823068,0.0002182353,0.0002277159,0.000001082446,0.0002316784,0.00004876235,0.00002609603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4869492,"threshold_uncertainty_score":0.947991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819557425296746,"score_gpt":0.2277164631251946,"score_spread":0.1995208888722271,"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."}}