{"id":"W1979393858","doi":"10.1109/icif.2007.4407991","title":"Comparing several AFE tools in the context of ships and vehicles detection based on RGB and EO data","year":2007,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Context (archaeology); Computer science; Feature (linguistics); RGB color model; False alarm; National laboratory; Machine learning; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008035057,0.001229946,0.00128281,0.008971614,0.0006991359,0.001871083,0.001165255,0.001524902,0.00152884],"category_scores_gemma":[0.02641408,0.0003329577,0.0009536985,0.00317133,0.0005704432,0.002703329,0.001356238,0.0006954843,0.0008085253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003729764,"about_ca_system_score_gemma":0.0003214283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087622,"about_ca_topic_score_gemma":0.002838645,"domain_scores_codex":[0.9952869,0.001644486,0.0004335715,0.0006619876,0.001647961,0.0003249519],"domain_scores_gemma":[0.9768351,0.01547732,0.0006773485,0.001681689,0.004965394,0.0003629936],"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":[0.002998899,0.0005993721,0.04623592,0.001167204,0.001329775,0.000366562,0.0005839313,0.02295353,0.02381746,0.002152063,0.002305684,0.8954896],"study_design_scores_gemma":[0.0006706026,0.004022188,0.1710328,0.0005619936,0.002003181,0.003498313,0.003085707,0.5415018,0.2295798,0.006074719,0.03733006,0.0006388959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.432685,0.004982318,0.5427172,0.0005408658,0.0003261363,0.0005504937,0.001520934,0.006211302,0.01046571],"genre_scores_gemma":[0.6755987,0.001228222,0.3187419,0.0001880129,0.00008296583,0.0002329596,0.00159733,0.0004516198,0.001878308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008971614,"threshold_uncertainty_score":0.042494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09850031136562903,"score_gpt":0.2702102723753235,"score_spread":0.1717099610096945,"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."}}