{"id":"W2023929109","doi":"10.1109/igarss.2014.6947458","title":"An alternative method for surface current extraction from X-band marine radar images","year":2014,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Newfoundland and Labrador Centre for Applied Health Research","funders":"","keywords":"Radar; Computer science; Radar imaging; Fast Fourier transform; Inversion (geology); Current (fluid); Remote sensing; Geology; Algorithm; Computer vision; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002137094,0.0005971133,0.0004844578,0.0009800531,0.0002440314,0.0005851676,0.0008845727,0.0005087628,0.002655667],"category_scores_gemma":[0.0006637239,0.0003245073,0.0005134845,0.0007715432,0.0002275171,0.001325669,0.0004834922,0.0006089055,0.001991832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001213892,"about_ca_system_score_gemma":0.0004840029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191111,"about_ca_topic_score_gemma":0.001525362,"domain_scores_codex":[0.9998424,0.00001732753,0.00001367208,0.00004312218,0.00007144855,0.00001200302],"domain_scores_gemma":[0.999751,0.00003949762,0.00003111822,0.00003705734,0.0001320185,0.000009257782],"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":[0.0001018215,0.00007217278,0.001664062,0.000481304,0.00009376801,0.0001160465,0.0001570272,0.01557428,0.1732206,0.008819803,0.002804996,0.7968941],"study_design_scores_gemma":[0.00009168328,0.0002457687,0.005199178,0.00006464926,0.00008603292,0.001069971,0.0001382375,0.8401034,0.1122299,0.007143667,0.03353157,0.0000958923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004148548,0.0001700507,0.9942148,0.00003537417,0.00005798423,0.00003731186,0.00005507114,0.0004969346,0.0007838546],"genre_scores_gemma":[0.04776488,0.0003573827,0.9487327,0.00006483134,0.00006216453,0.00006318185,0.0002936496,0.00009047284,0.002570781],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002655667,"threshold_uncertainty_score":0.008884072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742389843903438,"score_gpt":0.293568818370441,"score_spread":0.2761449199314067,"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."}}