{"id":"W2377945032","doi":"","title":"Infrared Dim Target Detection Based On Comparability Filtering","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Comparability; Pixel; Artificial intelligence; Computer vision; Noise (video); Gaussian noise; Interference (communication); Pattern recognition (psychology); Image (mathematics); Mathematics; Telecommunications; Channel (broadcasting)","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":[0.0006358503,0.0004690349,0.0004803776,0.001084825,0.000332115,0.000768821,0.0007451735,0.000532189,0.001327523],"category_scores_gemma":[0.001511642,0.0002328815,0.0004524883,0.0006358951,0.0006093529,0.001325229,0.0006617053,0.0005110448,0.0002936311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004798078,"about_ca_system_score_gemma":0.0003921141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009068944,"about_ca_topic_score_gemma":0.0008460025,"domain_scores_codex":[0.9991915,0.00009583202,0.00002571633,0.0001952258,0.0004400729,0.00005162453],"domain_scores_gemma":[0.9995556,0.0001619149,0.00007076643,0.0000521408,0.0001328863,0.00002662017],"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":[0.0005175398,0.0002271736,0.0033032,0.0003180671,0.00009313659,0.0002595508,0.0002267792,0.02664129,0.3386928,0.02317392,0.001610118,0.6049365],"study_design_scores_gemma":[0.00007393996,0.0006155195,0.007736843,0.00002830898,0.0001135737,0.001449462,0.00009578055,0.7106115,0.257733,0.01221242,0.009212092,0.0001174795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04468329,0.0002544767,0.949531,0.0000801004,0.00006440945,0.00005593877,0.00002779298,0.0004667959,0.004836171],"genre_scores_gemma":[0.5488182,0.0004414533,0.4460956,0.0001474405,0.0001124129,0.0001180206,0.0001214492,0.00006481692,0.004080594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001327523,"threshold_uncertainty_score":0.004440963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622840468682063,"score_gpt":0.2336470483079244,"score_spread":0.2074186436211038,"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."}}