{"id":"W4386810354","doi":"10.18280/ria.370423","title":"Optimizing Region Detection in Enhanced Infrared Images Using Deep Learning","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infrared; Deep learning; Artificial intelligence; Computer science; Remote sensing; Computer vision; Pattern recognition (psychology); Geology; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005597009,0.0001973851,0.0002356001,0.0005832618,0.0001680819,0.00006332263,0.0001726076,0.000157583,0.00005146007],"category_scores_gemma":[0.0005832065,0.0002374721,0.00008323826,0.001627129,0.00004980086,0.0003065234,0.00005907032,0.0004731408,0.0002607114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876031,"about_ca_system_score_gemma":0.00000892041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001347098,"about_ca_topic_score_gemma":0.000008235457,"domain_scores_codex":[0.9984906,0.0001378071,0.0004630635,0.0003119654,0.0001193685,0.0004772377],"domain_scores_gemma":[0.9992744,0.0002788641,0.00006964388,0.0002655644,0.00006125867,0.00005023786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007514059,0.000002624514,0.00002787747,0.00004077124,0.000004915562,0.00001660337,0.001219752,0.6222114,0.3152282,0.000009675061,0.000003306394,0.06122732],"study_design_scores_gemma":[0.00001994906,0.00001796218,0.00004216775,0.00004397413,0.00000302175,0.0000111896,0.001606374,0.4963897,0.5010175,0.0005281725,0.0001804365,0.0001395495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3466634,0.0001960617,0.6497832,0.00001030461,0.0005994113,0.0001467298,3.892169e-7,0.0009683525,0.00163211],"genre_scores_gemma":[0.9706533,0.000437928,0.02808899,0.000007373227,0.0001302323,0.00004323922,0.000004032918,0.00005943822,0.0005754541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6239899,"threshold_uncertainty_score":0.9683833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06643248933512491,"score_gpt":0.2928859848363302,"score_spread":0.2264534955012053,"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."}}