{"id":"W4417338471","doi":"10.1109/iceccme64568.2025.11277836","title":"Design and Conceptual Framework of ARGOS: An AI-Assisted System for Managing Georeferenced Environmental Surveys using UAS","year":2025,"lang":"","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Metadata; Georeference; Modular design; Consistency (knowledge bases); Drone; Conceptual framework; Systems architecture; Data integration; Environmental data; Architecture","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001346832,0.0004502597,0.0006597328,0.0002948399,0.000238227,0.0001796472,0.000224774,0.0004141491,0.00001694614],"category_scores_gemma":[0.0001211235,0.000509019,0.00009635898,0.0003177264,0.0004009962,0.0003717815,0.00008465983,0.0003171896,0.000009718483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005561588,"about_ca_system_score_gemma":0.00008799708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007113464,"about_ca_topic_score_gemma":0.000004112825,"domain_scores_codex":[0.9969665,0.000699122,0.0009144085,0.000676795,0.0002420509,0.0005011537],"domain_scores_gemma":[0.9980438,0.0008433642,0.0002326422,0.0006609529,0.00007967559,0.0001395168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002350236,0.0002405028,0.002369345,0.002810566,0.0008165931,0.00001158858,0.002393932,0.1514373,0.6999109,0.01681851,0.00005474241,0.1229009],"study_design_scores_gemma":[0.0008334974,0.0001110165,0.01205508,0.001157505,0.0002654098,0.00001016399,0.004218647,0.9249688,0.05546846,0.00046537,0.00001986283,0.0004261761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1896024,0.0004482976,0.8077809,0.00003983427,0.0005326907,0.001055399,0.00003559425,0.0001453201,0.0003595579],"genre_scores_gemma":[0.8033251,0.00004131777,0.1963843,0.00002074263,0.00004198159,0.000008017419,0.00003331118,0.00006162062,0.00008365394],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7735315,"threshold_uncertainty_score":0.9997361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04570976033986428,"score_gpt":0.2741745379342644,"score_spread":0.2284647775944001,"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."}}