{"id":"W2122932271","doi":"10.1109/igarss.1990.688477","title":"Adaptive Median Filtering Using Local Entropy","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Entropy (arrow of time); Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004459598,0.0001783589,0.0001494559,0.00008841585,0.000038734,0.00001597077,0.0001450888,0.00006273785,0.0002680928],"category_scores_gemma":[0.000006909944,0.0001819869,0.00004515569,0.0001007262,0.00005282746,0.0002993892,0.00006058435,0.0001528412,0.00006952259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631804,"about_ca_system_score_gemma":0.00000728564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001231766,"about_ca_topic_score_gemma":0.00002126773,"domain_scores_codex":[0.9992176,0.000008571846,0.0001748223,0.000162428,0.0001195435,0.0003170547],"domain_scores_gemma":[0.9996464,0.00002313822,0.00001668548,0.0001966246,0.0000231907,0.00009400108],"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":[0.00001684794,0.00002275044,0.00004011997,0.00002509321,0.00005860325,0.00002914872,0.0002653372,0.5667486,0.2482309,0.007147537,0.001104543,0.1763106],"study_design_scores_gemma":[0.000119387,0.00002605412,0.00004918696,0.00003471596,0.000005352491,0.00001890405,0.000068083,0.7025397,0.2838024,0.0006185803,0.01245442,0.0002631443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0123286,0.00008339064,0.9795102,0.00003203431,0.0001213907,0.0001042458,0.000005615353,0.001727864,0.006086656],"genre_scores_gemma":[0.6316403,0.00001445486,0.3680166,0.00003531391,0.000168729,0.00000783203,0.000001473806,0.00003773017,0.00007758957],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6193116,"threshold_uncertainty_score":0.7421211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152537165673282,"score_gpt":0.241723845219,"score_spread":0.2201984735622672,"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."}}