{"id":"W4415428460","doi":"10.1016/j.engappai.2025.112878","title":"GMFIMamba: Remote sensing change detection based on group Mamba feature interaction","year":2025,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Change detection; Convolution (computer science); Feature (linguistics); Feature extraction; Convolutional neural network; Field (mathematics); Satellite","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002277645,0.0004801015,0.0005748681,0.0008338721,0.0003893918,0.000424952,0.0008610689,0.0004752047,0.005181347],"category_scores_gemma":[0.0004480251,0.0002016909,0.000361668,0.0005212039,0.0001434837,0.0005970089,0.0007086614,0.0003920739,0.001578464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189946,"about_ca_system_score_gemma":0.0002872328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004080321,"about_ca_topic_score_gemma":0.008199314,"domain_scores_codex":[0.999871,0.00001558086,0.000003330589,0.00003263027,0.00005037567,0.00002705852],"domain_scores_gemma":[0.9999075,0.00001529127,0.000009807941,0.00002455398,0.00002870736,0.0000141889],"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":[0.001376951,0.0003264838,0.01169017,0.0002420489,0.0002424757,0.0003453607,0.0001985194,0.008834391,0.2521548,0.002472221,0.02759618,0.6945203],"study_design_scores_gemma":[0.0001513243,0.0003390142,0.03579244,0.00001879548,0.00009660456,0.0004183459,0.000128292,0.8398724,0.08816318,0.001841933,0.03308814,0.0000894447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1997778,0.0005474356,0.7239105,0.0002993053,0.0002756458,0.0004500307,0.003387715,0.06151915,0.009832293],"genre_scores_gemma":[0.524663,0.0001055262,0.4593636,0.000153074,0.00006777261,0.000400987,0.004831272,0.0007378692,0.009676819],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005181347,"threshold_uncertainty_score":0.01733333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458176796422773,"score_gpt":0.268035790840482,"score_spread":0.2434540228762542,"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."}}