{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002787296,0.0001555652,0.0001308211,0.00008975761,0.0001666457,0.0002265599,0.001125288,0.0000482727,0.0002753911],"category_scores_gemma":[0.00001412819,0.000133138,0.00002029024,0.00008553467,0.0001451463,0.000718636,0.0009726826,0.0001756593,0.0000985787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100738,"about_ca_system_score_gemma":0.00002549716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006248024,"about_ca_topic_score_gemma":8.795712e-7,"domain_scores_codex":[0.9986655,0.00007136624,0.0002217775,0.0006817309,0.0002183896,0.0001412165],"domain_scores_gemma":[0.9987355,0.0002370999,0.00007624206,0.0007065765,0.0001113164,0.0001332493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002296092,0.00005305276,0.00001412423,9.5338e-7,0.00001082787,0.000002049192,0.0001087106,0.000001580822,0.0002031648,0.5368858,0.0002228695,0.4624739],"study_design_scores_gemma":[0.0005906499,0.0001148005,0.003571505,0.00007695815,0.00001039314,0.00003819178,0.00005604167,0.6153767,0.0007366781,0.3479072,0.03118,0.000340951],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006009828,0.0000542901,0.989253,0.0007991284,0.0002167449,0.0001697212,0.00006316667,0.000102283,0.008740708],"genre_scores_gemma":[0.2939141,0.0001278762,0.7036351,0.001704318,0.000251405,0.00003830883,0.0001132963,0.00001150356,0.0002040931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6153751,"threshold_uncertainty_score":0.5429209,"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."}}