{"id":"W4392188845","doi":"10.1109/icecce61019.2023.10442626","title":"Adaptive Augmentation of Imbalanced Class Distribution in Road Segmentation","year":2023,"lang":"en","type":"article","venue":"","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Segmentation; Computer science; Artificial intelligence; Class (philosophy); Image segmentation; Computer vision; Pattern recognition (psychology)","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":[0.00007463119,0.00005176915,0.00006502727,0.00007762355,0.00001296147,0.000005253808,0.00002339032,0.00004153743,0.00002159316],"category_scores_gemma":[0.000005424215,0.00005203714,0.0000164033,0.0003746864,0.000006717276,0.0001557234,0.000004630949,0.00004466583,0.00003630574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012139,"about_ca_system_score_gemma":0.000004254942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004443916,"about_ca_topic_score_gemma":0.00002101323,"domain_scores_codex":[0.9996018,0.00001016519,0.0001477136,0.00006504967,0.00008488265,0.00009041779],"domain_scores_gemma":[0.9998922,0.00001368795,0.00002537015,0.00004239587,0.00001449481,0.00001187457],"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":[0.00003800092,0.00003614452,0.00322979,0.0000731566,0.00003027036,0.000003694825,0.0004594702,0.4294508,0.494311,0.000937373,0.004222568,0.06720776],"study_design_scores_gemma":[0.0004397255,0.00002554709,0.1885116,0.00002896779,0.000005131788,7.096714e-7,0.0005638908,0.6967565,0.1133846,0.0001418731,0.00006016289,0.00008122421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785791,0.0000111565,0.01946757,0.00002224143,0.0002037088,0.0001141304,0.00001648,0.0004806053,0.001104984],"genre_scores_gemma":[0.9993474,0.00004078795,0.0002206251,0.000002699692,0.00001418766,0.00001599732,0.0002849609,0.000007126047,0.00006615541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3809264,"threshold_uncertainty_score":0.2122013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135752515247945,"score_gpt":0.2467788583773139,"score_spread":0.2354213332248344,"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."}}