{"id":"W7123337241","doi":"10.1109/icspis67605.2025.11318387","title":"SceneMixer: Exploring Convolutional Mixing Networks for Remote Sensing Scene Classification","year":2025,"lang":"","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Convolutional neural network; Land cover; Pointwise; Identification (biology); Feature extraction; Computation; Remote sensing application; Channel (broadcasting)","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":[0.0007743517,0.001540175,0.0004853658,0.0009501355,0.000277841,0.0009753575,0.001603595,0.0006340382,0.00296774],"category_scores_gemma":[0.001153189,0.0004332751,0.0007639163,0.0008516691,0.0003463206,0.001894096,0.001182087,0.001311741,0.001362202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009432876,"about_ca_system_score_gemma":0.0007603068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009435982,"about_ca_topic_score_gemma":0.01632243,"domain_scores_codex":[0.9997696,0.00004108221,0.000007789313,0.00008793718,0.00005739972,0.0000361468],"domain_scores_gemma":[0.9997942,0.0000689426,0.0000218258,0.00004864342,0.00005066941,0.00001579579],"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":[0.0003983629,0.0002683545,0.003445048,0.0002174312,0.0003036626,0.0001265078,0.0001133205,0.3215215,0.03327487,0.01554077,0.01370526,0.6110849],"study_design_scores_gemma":[0.00001052366,0.0000264311,0.0002791485,0.000008722321,0.00001706117,0.00001988426,0.00001179275,0.9884163,0.004767527,0.004314966,0.002121267,0.000006410366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05238241,0.001040705,0.9280472,0.0004047436,0.0001045134,0.0001581048,0.001143672,0.01214274,0.004575795],"genre_scores_gemma":[0.4291001,0.0009362014,0.5464038,0.0004124814,0.0001141446,0.000206378,0.007961048,0.001102106,0.01376379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009435982,"threshold_uncertainty_score":0.01876211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07059593135919698,"score_gpt":0.277557471114831,"score_spread":0.2069615397556341,"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."}}