{"id":"W2009061394","doi":"10.1080/07038992.2001.10854879","title":"Automatic Detection of Ships in RADARSAT-1 SAR Imagery","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Geography; Synthetic aperture radar; Cartography; Computer science","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":[0.0005065599,0.000546377,0.0003460835,0.001513823,0.0002783076,0.0008750916,0.0004524362,0.0004490579,0.001520721],"category_scores_gemma":[0.001202882,0.000318136,0.000445875,0.0004677022,0.0002277411,0.0004981075,0.0004826997,0.0003477925,0.001133504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298835,"about_ca_system_score_gemma":0.0005128576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006897656,"about_ca_topic_score_gemma":0.007334559,"domain_scores_codex":[0.9997041,0.0000364802,0.00001646137,0.0000764395,0.0001224814,0.00004407731],"domain_scores_gemma":[0.9996202,0.0001095379,0.00003693233,0.00003682956,0.0001745023,0.00002198342],"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":[0.0003603336,0.0001404959,0.02109163,0.0001985747,0.00008917746,0.0002073476,0.0002075982,0.04958804,0.2792374,0.0011996,0.003994633,0.6436851],"study_design_scores_gemma":[0.00005409406,0.0002765146,0.0926771,0.00006101415,0.00009350076,0.0003999142,0.0003476646,0.6860812,0.2063332,0.001176648,0.01243312,0.00006618357],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6594989,0.0007422306,0.3244757,0.0002877087,0.0001510483,0.0001684291,0.0009160714,0.005547746,0.008212257],"genre_scores_gemma":[0.7001428,0.0005333996,0.2833589,0.0001232267,0.00004273503,0.00007741961,0.003302175,0.00019292,0.01222647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006897656,"threshold_uncertainty_score":0.01371503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363109045978581,"score_gpt":0.1957363807266186,"score_spread":0.1821052902668328,"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."}}