{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002269432,0.0009675375,0.0007585258,0.00111188,0.0006143478,0.002734157,0.0008872806,0.0009519944,0.0920631],"category_scores_gemma":[0.0008428367,0.0004085775,0.0003959862,0.00137339,0.0004953666,0.002265454,0.001063541,0.002013533,0.08544329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008504709,"about_ca_system_score_gemma":0.0006556973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124814,"about_ca_topic_score_gemma":0.002163093,"domain_scores_codex":[0.9997314,0.00002063819,0.00001079728,0.00004830319,0.0001735413,0.00001526263],"domain_scores_gemma":[0.9998275,0.00003917046,0.000009975296,0.00002807554,0.00007171276,0.00002349368],"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":[0.00001813418,0.00002525748,0.0001833922,0.0003393973,0.000006351797,0.00009245818,0.0001872506,0.00133891,0.001672513,0.05972437,0.6837429,0.2526691],"study_design_scores_gemma":[0.000001490936,0.000006694564,0.0001337207,0.00006661488,0.000001056777,0.0001090822,0.00002018688,0.0003815143,0.0001370313,0.005147689,0.9939914,0.000003439985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001331536,0.05122972,0.03326724,0.004552417,0.009325822,0.0001186303,0.002003596,0.002780955,0.8953901],"genre_scores_gemma":[0.006937611,0.02016782,0.01217582,0.001002935,0.001356845,0.00005086989,0.001471164,0.0006526416,0.9561842],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0920631,"threshold_uncertainty_score":0.3079817,"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."}}