{"id":"W4353100362","doi":"10.18280/ts.400121","title":"Target Area Extraction Algorithm of Infrared Thermal Image Combining Target Detection with Matching Correction","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Thermal infrared; Infrared; Image (mathematics); Artificial intelligence; Extraction (chemistry); Computer science; Computer vision; Pattern recognition (psychology); Algorithm; Thermal; Mathematics; Chemistry; Optics; Physics; Chromatography; Statistics","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":[0.0005052774,0.0006920947,0.0008874138,0.001673889,0.0003756323,0.0007283589,0.001112252,0.0006218852,0.001415098],"category_scores_gemma":[0.0009505362,0.000376721,0.0008416902,0.001329688,0.0003760002,0.001096777,0.0006155416,0.0005505875,0.0008659897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000379706,"about_ca_system_score_gemma":0.0007313867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185175,"about_ca_topic_score_gemma":0.001613587,"domain_scores_codex":[0.9993064,0.00003503074,0.0000493314,0.0002350491,0.0003012695,0.00007293197],"domain_scores_gemma":[0.999676,0.00003990781,0.00004281891,0.00003687801,0.0001891354,0.00001527722],"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":[0.0001949464,0.0000777498,0.002313136,0.0001544388,0.00005258858,0.0001379124,0.0001686334,0.01684682,0.1675259,0.003517282,0.001751532,0.807259],"study_design_scores_gemma":[0.0000501868,0.0003548255,0.009700972,0.00002573755,0.000133773,0.001112368,0.0001260705,0.7562381,0.2189768,0.003317986,0.009882599,0.00008054565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01519282,0.0001339876,0.9827043,0.000033657,0.00003743095,0.00006578062,0.00002309491,0.0008560731,0.0009528915],"genre_scores_gemma":[0.2853076,0.0004626687,0.7070937,0.0001222811,0.00006693657,0.0001898951,0.0002765287,0.0002231981,0.006257236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002185175,"threshold_uncertainty_score":0.00473398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915571786810587,"score_gpt":0.242701272485816,"score_spread":0.2235455546177101,"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."}}