{"id":"W2397890505","doi":"","title":"3D Optical Flow from Doppler and Windprofiler Radar Data.","year":2011,"lang":"en","type":"article","venue":"International Conference on Computer Vision Theory and Applications","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Radar; Doppler radar; Doppler effect; Remote sensing; Continuous-wave radar; Weather radar; Pulse-Doppler radar; Computer science; Radar engineering details; 3D radar; Optical flow; Radar imaging; Geology; Meteorology; Physics; 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":[0.0004258488,0.0005512862,0.0002885544,0.002467133,0.0002947738,0.0009097201,0.0003631714,0.0006181107,0.002204963],"category_scores_gemma":[0.001776935,0.0003837437,0.0004970185,0.001025272,0.0002468365,0.0009428347,0.0005484753,0.0004374295,0.0006670118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002990188,"about_ca_system_score_gemma":0.000574066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00551194,"about_ca_topic_score_gemma":0.01131148,"domain_scores_codex":[0.9998048,0.00002330925,0.000008967803,0.00003247559,0.00009987296,0.00003062521],"domain_scores_gemma":[0.9996131,0.00009487152,0.00005898262,0.00004634282,0.000150565,0.00003608452],"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":[0.0003920867,0.0002456417,0.0217858,0.0004453314,0.0001778559,0.000652209,0.000412806,0.2637865,0.152915,0.005241422,0.01606384,0.5378815],"study_design_scores_gemma":[0.0000401514,0.00006484203,0.01521116,0.00004716445,0.00003283493,0.0004107968,0.0001226969,0.9380622,0.03227545,0.002497675,0.01117358,0.00006136398],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2021326,0.000693924,0.7756821,0.0007126494,0.0004340623,0.0002750739,0.003815574,0.006408433,0.009845476],"genre_scores_gemma":[0.5169427,0.0004782231,0.4760611,0.0001618015,0.0001333906,0.0000869557,0.003479953,0.0004043922,0.002251384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00551194,"threshold_uncertainty_score":0.01095968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05934915787425659,"score_gpt":0.3259363645633352,"score_spread":0.2665872066890786,"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."}}