{"id":"W2108869366","doi":"10.1109/igarss.1997.615925","title":"RADARSAT attitude estimates based on Doppler centroid of satellite imagery","year":2002,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Satellite; Doppler effect; Centroid; Geodesy; Remote sensing; Orbit (dynamics); Ground track; Position (finance); SIGNAL (programming language); Computation; Range (aeronautics); Computer science; Physics; Geology; Artificial intelligence; Algorithm; Engineering; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003367866,0.0005309387,0.0003631434,0.001600606,0.0002806387,0.0007419894,0.0003413258,0.0002655425,0.002321798],"category_scores_gemma":[0.001915581,0.000204097,0.0001911635,0.0009324703,0.0001412094,0.0007014815,0.0004615452,0.0004552562,0.00173974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004541349,"about_ca_system_score_gemma":0.0003816137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375983,"about_ca_topic_score_gemma":0.003557625,"domain_scores_codex":[0.9997178,0.00003112172,0.00001192297,0.00006099192,0.0001491029,0.00002911487],"domain_scores_gemma":[0.9995219,0.00005191304,0.00007212919,0.00004942728,0.0002912914,0.00001335188],"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":[0.0002589669,0.00007883995,0.01422756,0.0001366838,0.0000936202,0.0000663816,0.0001173354,0.08503885,0.06249852,0.009351924,0.009046845,0.8190846],"study_design_scores_gemma":[0.00008772182,0.0002698901,0.06059161,0.0001004456,0.0000836725,0.0005246411,0.0001842254,0.7774103,0.1023816,0.00835537,0.04990016,0.0001103239],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06599947,0.0005539347,0.9220601,0.00008175257,0.0001121833,0.00009468137,0.001039827,0.002881534,0.007176502],"genre_scores_gemma":[0.3227049,0.0005226775,0.6667229,0.00006663096,0.00007098675,0.0001045501,0.003572069,0.0002999426,0.005935398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002375983,"threshold_uncertainty_score":0.0077672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102564730361513,"score_gpt":0.2029093552679102,"score_spread":0.1926528822317589,"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."}}