{"id":"W4416683364","doi":"10.18280/mmep.121015","title":"Deep Learning Based Remote Sensing Image Annotation Based on Semantic and Contextual Information","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deep learning; Annotation; Image (mathematics); Image retrieval; Remote sensing application","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005151081,0.000940286,0.0009390367,0.001886212,0.0004790033,0.001262675,0.001155588,0.001143546,0.002317702],"category_scores_gemma":[0.001164843,0.0003944176,0.0009972559,0.001834301,0.0006719592,0.001955661,0.001247036,0.00115877,0.00183549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006341614,"about_ca_system_score_gemma":0.0008081506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007657588,"about_ca_topic_score_gemma":0.01184092,"domain_scores_codex":[0.9995734,0.00005893507,0.00002193349,0.0001546295,0.0001088613,0.00008224163],"domain_scores_gemma":[0.9995008,0.0001034586,0.00006874572,0.0001371442,0.0001595001,0.00003029004],"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":[0.000600226,0.0004666846,0.006661957,0.0004265265,0.0001413959,0.0003980535,0.0002372002,0.1462876,0.1219301,0.01557677,0.01156157,0.695712],"study_design_scores_gemma":[0.000007216883,0.00003065098,0.002022821,0.00003385472,0.00004098993,0.00007444037,0.00006267969,0.9665529,0.01985344,0.008251735,0.00304942,0.00001978306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07785051,0.000580549,0.9121116,0.0003690812,0.0001150429,0.00008320938,0.0009721907,0.003381004,0.004536794],"genre_scores_gemma":[0.6817327,0.0007819207,0.3041497,0.000306788,0.0001346307,0.0001354646,0.004026513,0.0004832592,0.00824893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007657588,"threshold_uncertainty_score":0.01522601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283763442927653,"score_gpt":0.2094326426928552,"score_spread":0.1965950082635787,"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."}}