{"id":"W878451336","doi":"10.1017/cbo9781107707405","title":"Radar Meteorology","year":2015,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Radar; Weather radar; Meteorology; Remote sensing; Data assimilation; Computer science; Doppler radar; Graduate students; Variety (cybernetics); Geography; Artificial intelligence; Telecommunications; Sociology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002238748,0.0002885794,0.0004457968,0.0001461589,0.0001866811,0.00003206942,0.000570836,0.0004284723,0.0001764971],"category_scores_gemma":[0.0000302097,0.000276598,0.0001529375,0.00001877367,0.0002808069,0.00008244496,0.0000718733,0.0004481602,0.0002106928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004274922,"about_ca_system_score_gemma":0.0003103126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000418365,"about_ca_topic_score_gemma":0.00003000515,"domain_scores_codex":[0.9985031,0.0001838099,0.0001831262,0.0004648074,0.00029871,0.0003664287],"domain_scores_gemma":[0.9987379,0.0002242808,0.0001577902,0.0004071068,0.0001199327,0.0003529471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002582971,0.00001168338,0.0001861543,0.00004876375,0.0002049759,0.0004823417,0.00004779428,0.0004744981,0.000003265469,0.2369172,0.7552245,0.006140494],"study_design_scores_gemma":[0.0004121267,0.0001500156,0.0004292956,0.000008847512,0.0001355006,0.000008392121,0.00001148908,0.0005087408,0.000002028495,0.0001935249,0.9978231,0.0003169521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005063949,0.0004012066,0.0001194237,0.00001778677,0.0003819985,0.0002750203,0.0007778858,0.00012375,0.9973965],"genre_scores_gemma":[0.002266997,0.00002690466,0.0002650987,0.0001761169,0.0002182885,8.421695e-8,0.0007236127,0.000007778691,0.9963151],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2425985,"threshold_uncertainty_score":0.9999686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03627530904094028,"score_gpt":0.2021335707279615,"score_spread":0.1658582616870212,"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."}}