{"id":"W4407027175","doi":"10.1016/j.rsase.2025.101478","title":"SimPoolFormer: A two-stream vision transformer for hyperspectral image classification","year":2025,"lang":"en","type":"article","venue":"Remote Sensing Applications Society and Environment","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hyperspectral imaging; Artificial intelligence; Computer vision; Computer science; Transformer; Pattern recognition (psychology); Engineering","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":[0.0001882669,0.0002224432,0.0001947521,0.0000567781,0.0003346882,0.00008029625,0.00007038202,0.0001387871,0.000003012141],"category_scores_gemma":[0.000006689977,0.0002424473,0.0001646537,0.0001783239,0.0001889052,0.0001318769,0.00001183738,0.0001698313,0.00002147824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447612,"about_ca_system_score_gemma":0.00001935268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001200922,"about_ca_topic_score_gemma":0.000002749257,"domain_scores_codex":[0.9988449,0.00001518059,0.0003244698,0.0003959304,0.0001298853,0.0002896598],"domain_scores_gemma":[0.9993404,0.00009112147,0.00005211737,0.0004147147,0.00002834758,0.00007332479],"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":[0.000006653594,0.0000238638,0.000002751494,0.0001023144,0.00005288927,9.483671e-8,0.0002321474,0.001467543,0.4614436,0.0003880544,0.0009761184,0.535304],"study_design_scores_gemma":[0.0006448124,0.00002076328,0.0008353399,0.00004722501,0.0001161563,0.000008177196,0.0005342201,0.9061791,0.02431609,0.002355482,0.06466802,0.0002746584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01828443,0.0003286217,0.974681,0.002229253,0.0000567705,0.000965295,0.00001647567,0.0002757929,0.003162346],"genre_scores_gemma":[0.4925281,0.002835204,0.5036239,0.0001872482,0.0001173908,0.00001192642,0.0001586286,0.00006587492,0.0004717034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9047115,"threshold_uncertainty_score":0.9886715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009441330346232122,"score_gpt":0.2442120558041671,"score_spread":0.234770725457935,"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."}}