{"id":"W2368740625","doi":"","title":"Edge detection algorithm for SAR image based on improved ROEWA","year":2011,"lang":"en","type":"article","venue":"","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Constant false alarm rate; Operator (biology); Edge detection; Deriche edge detector; Enhanced Data Rates for GSM Evolution; Algorithm; Detector; Margin (machine learning); Computer science; Position (finance); Artificial intelligence; Computer vision; Image (mathematics); Radon transform; Noise (video); Mathematics; Image processing; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002371451,0.0001305372,0.000105803,0.0001760034,0.0001411728,0.00008576466,0.0003615716,0.00007264101,0.00005397782],"category_scores_gemma":[0.00002794573,0.0001126996,0.0001076319,0.0002214112,0.00002290872,0.0004419464,0.00004699637,0.00009168234,0.00004376036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004941503,"about_ca_system_score_gemma":0.0000303511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001188393,"about_ca_topic_score_gemma":0.00001267397,"domain_scores_codex":[0.9991357,0.00002840358,0.0001564738,0.000339022,0.000105327,0.0002350292],"domain_scores_gemma":[0.9992504,0.00004212785,0.00005735083,0.0004587452,0.0001324248,0.00005893827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001179378,0.00006120467,5.396896e-7,0.000004899342,0.0000035553,0.000002096351,0.00005393128,1.128791e-7,0.02030292,0.0001230553,0.0004722787,0.9789636],"study_design_scores_gemma":[0.0002223556,0.0005214748,0.0000429092,0.000002728595,0.000002587625,0.00000269012,0.000005877187,0.3078702,0.6883649,0.00117194,0.001679898,0.0001123583],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005854206,0.000003660932,0.9865071,0.00004683293,0.0003515314,0.0003745957,0.000002215568,0.00100638,0.01164921],"genre_scores_gemma":[0.1104597,0.000001381751,0.8875516,0.0009749132,0.00009087429,0.00009155249,0.000001058192,0.00001577239,0.0008131437],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9788513,"threshold_uncertainty_score":0.4595755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410930487699085,"score_gpt":0.2312447268875602,"score_spread":0.2171354220105694,"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."}}