{"id":"W2528810434","doi":"10.1175/jtech-d-16-0143.1","title":"The Imperfect Phase Pattern of Real Parabolic Radar Antenna and Data Quality","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Radar; Remote sensing; Antenna (radio); Radar imaging; Phase (matter); Azimuth; Computer science; Geology; Environmental science; Optics; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009652536,0.00007714958,0.000234391,0.00001242286,0.00009696866,0.00001604843,0.0003448821,0.00005972447,0.00007012844],"category_scores_gemma":[0.0001653748,0.000036227,0.00003391294,0.0001850564,0.0002180304,0.0001807971,0.00003313539,0.00009337057,0.00000162818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002343912,"about_ca_system_score_gemma":0.00003970942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009181732,"about_ca_topic_score_gemma":0.0001519805,"domain_scores_codex":[0.999097,0.00007869191,0.0003917202,0.0001254889,0.0001688278,0.0001382274],"domain_scores_gemma":[0.9990161,0.0002157239,0.0004058296,0.0002354693,0.00007358537,0.00005329661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005467185,0.0000126411,0.4069721,0.000005248993,0.00007010083,0.000003755728,0.00003153531,1.962906e-7,0.001607599,0.00005105391,0.0001516636,0.5910395],"study_design_scores_gemma":[0.002841574,0.001019273,0.9836035,0.00007677684,0.0001788888,0.0001480044,0.001304919,0.00196731,0.0003734723,0.003464387,0.004831212,0.0001906518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896933,0.005618567,0.00260935,0.001896224,0.00007442311,0.00003344446,0.00002295395,0.000009047772,0.00004269733],"genre_scores_gemma":[0.9887871,0.01042285,0.0006927822,0.00002844386,0.00003916692,5.040011e-8,0.000001445668,0.000001672468,0.0000265215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5908488,"threshold_uncertainty_score":0.1477294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559869584130025,"score_gpt":0.2837723195731968,"score_spread":0.2581736237318966,"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."}}