{"id":"W6960127891","doi":"10.13140/rg.2.2.25033.31847","title":"Radio Frequency Interference Censoring Scheme for Canadian Weather Radar","year":2023,"lang":"en","type":"article","venue":"","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Radar; Weather radar; Interference (communication); Scheme (mathematics); Censoring (clinical trials); Clutter; Radar tracker","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001255812,0.0001191594,0.0001316359,0.00001382924,0.0002334933,0.00006282191,0.0002288265,0.00007676613,0.00034522],"category_scores_gemma":[0.00002683482,0.0000342509,0.00008676844,0.0003910478,0.00001406486,0.0001012296,0.00002033028,0.00006053084,0.000309555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004602031,"about_ca_system_score_gemma":0.000009852334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07133708,"about_ca_topic_score_gemma":0.2398265,"domain_scores_codex":[0.999099,0.00001829434,0.0001426685,0.0002339119,0.00008936137,0.0004167949],"domain_scores_gemma":[0.9996117,0.00008053286,0.00002923091,0.0000366185,0.00004874245,0.0001931761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004299604,0.000009862646,0.01296564,0.000008737712,0.00002142606,0.000007648341,0.0001054196,4.674457e-7,0.9238306,0.003564634,0.03872897,0.02075233],"study_design_scores_gemma":[0.0003036176,0.0003260779,0.3356748,0.0001022282,0.00001448309,0.000022283,0.002050587,0.0001087716,0.01361002,0.00167345,0.6452998,0.0008138696],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800023,0.00009390194,0.000005900448,0.004620331,0.0003452327,0.0003907898,0.00005977652,0.000236506,0.01424527],"genre_scores_gemma":[0.9893075,0.00001485289,0.000182016,0.0001783891,0.0005560527,0.00005079531,0.00008920929,7.860489e-7,0.009620423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9102206,"threshold_uncertainty_score":0.9348469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407193697796668,"score_gpt":0.221213878734566,"score_spread":0.1871419417565993,"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."}}