{"id":"W2376627529","doi":"","title":"Adaptive Infrared Target Segmentation Algorithm Based on Particle Filter","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":"Particle filter; Computer science; Segmentation; Pixel; Algorithm; Artificial intelligence; Entropy (arrow of time); Image segmentation; Monte Carlo method; Monte Carlo localization; Filter (signal processing); Pattern recognition (psychology); Computer vision; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008624569,0.0001663967,0.0001369801,0.0001028804,0.0001867114,0.00002396904,0.0001577791,0.00007589834,0.0001025248],"category_scores_gemma":[0.000001203403,0.0001787652,0.00006463595,0.0003045818,0.00004936078,0.0001195309,0.00002356218,0.0001576336,0.0003198445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009761252,"about_ca_system_score_gemma":0.0000180545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001716442,"about_ca_topic_score_gemma":1.629235e-7,"domain_scores_codex":[0.9991333,0.00005314379,0.0002244835,0.0002340149,0.0001226961,0.0002323328],"domain_scores_gemma":[0.9994426,0.0001320575,0.00003489035,0.0002658406,0.00006101749,0.00006355227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002617107,0.0002088848,0.0003671465,0.00003765479,0.00009261426,0.00001286875,0.001048122,0.5950397,0.1156727,0.0002747643,0.02498215,0.2622372],"study_design_scores_gemma":[0.0004001719,0.00005108277,0.001310463,0.000005478932,0.000007110324,0.00001292799,0.00003363015,0.5035479,0.4417881,0.0006876807,0.05191265,0.0002427998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005657141,0.00004369924,0.9916111,0.00004333998,0.00005845376,0.000543795,0.0000473148,0.0007815259,0.00121366],"genre_scores_gemma":[0.01394594,0.000007733352,0.984433,0.0003891032,0.0001602142,0.0008052865,0.00005956051,0.00003460795,0.0001645837],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3261154,"threshold_uncertainty_score":0.7289833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277760284473486,"score_gpt":0.2407310200563602,"score_spread":0.2129549916090116,"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."}}