{"id":"W2031899171","doi":"10.1080/07038992.2001.10854888","title":"Iceberg Detection Capabilities of RADARSAT Synthetic Aperture Radar","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Iceberg; Synthetic aperture radar; Remote sensing; Inverse synthetic aperture radar; Geography; Geology; Radar; Cartography; Environmental science; Radar imaging; Computer science; Meteorology; Telecommunications; Sea ice","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0006196237,0.000418633,0.0002554958,0.0006373212,0.0002162459,0.0008164179,0.0003382305,0.0002676106,0.001447236],"category_scores_gemma":[0.0007613011,0.0001829051,0.0002209609,0.0003862589,0.0002665567,0.0005489944,0.000356893,0.0002139183,0.0006913728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00056633,"about_ca_system_score_gemma":0.001184426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04217225,"about_ca_topic_score_gemma":0.08612704,"domain_scores_codex":[0.9995665,0.00002745168,0.00001399023,0.00008853614,0.0002220888,0.0000814538],"domain_scores_gemma":[0.999549,0.0001003841,0.00004920484,0.00003230368,0.0002496782,0.00001944548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000633629,0.00007519459,0.04318892,0.0006515812,0.0001772348,0.000318318,0.0006487995,0.02408932,0.5907746,0.001726335,0.002244313,0.3354717],"study_design_scores_gemma":[0.0001192198,0.0007839602,0.3233056,0.000231953,0.0005049131,0.001401612,0.00106948,0.08435182,0.505425,0.001592767,0.08103552,0.0001781229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8537657,0.003513202,0.08308435,0.0003319013,0.0001053785,0.0001716857,0.001972757,0.00168862,0.05536643],"genre_scores_gemma":[0.9487276,0.00205137,0.03754154,0.0001615697,0.00003524851,0.00003938354,0.001577637,0.00006605233,0.009799534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04217225,"threshold_uncertainty_score":0.08385354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006897075138394159,"score_gpt":0.1912014014274751,"score_spread":0.1843043262890809,"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."}}