{"id":"W2168055397","doi":"10.3390/s8084948","title":"Ship Detection in SAR Image Based on the Alpha-stable Distribution","year":2008,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency","keywords":"Clutter; Constant false alarm rate; Synthetic aperture radar; Computer science; Artificial intelligence; Gaussian; False alarm; Pixel; Algorithm; Gaussian process; K-distribution; Radar imaging; Computer vision; Radar; Remote sensing; Pattern recognition (psychology); Probability distribution; Mathematics; Statistics; Physics; Geography; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001072886,0.00009478359,0.00007292377,0.00004784442,0.00006405928,0.000008584872,0.0000677275,0.00003795388,0.00001433803],"category_scores_gemma":[0.00009138876,0.00008041388,0.00002755452,0.0001951891,0.0000404464,0.00006901246,0.000006735651,0.0001926669,0.0000300686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605804,"about_ca_system_score_gemma":0.000004184079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000263263,"about_ca_topic_score_gemma":0.00001240752,"domain_scores_codex":[0.9994857,0.00003265256,0.0001002933,0.0001042885,0.00009902168,0.0001780921],"domain_scores_gemma":[0.9996641,0.0000759393,0.00001382527,0.0002102114,0.00001578294,0.00002012279],"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":[0.0001555651,0.0001718899,0.004126106,0.000121154,0.00002788003,0.0003046927,0.0009489539,0.6853352,0.2738874,0.0007105154,0.01150818,0.02270245],"study_design_scores_gemma":[0.0001461931,0.00001929005,0.003920874,0.00002499136,0.000002266995,0.00000899158,0.00002343972,0.4968273,0.49318,0.0005179943,0.005182671,0.0001459843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883211,0.00002217603,0.1131963,0.0002190577,0.00009575774,0.0001969075,0.00001866408,0.0009101892,0.002129923],"genre_scores_gemma":[0.9976324,0.00001413926,0.002200264,0.00004721421,0.00002691042,0.000009407422,0.0000111861,0.00002298563,0.00003550243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2192926,"threshold_uncertainty_score":0.3279183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261664642125553,"score_gpt":0.2205718237652817,"score_spread":0.2079551773440262,"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."}}