{"id":"W2063091370","doi":"10.1175/2010waf2222401.1","title":"The Canadian Regional Data Assimilation and Forecasting System","year":2010,"lang":"en","type":"article","venue":"Weather and Forecasting","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Data assimilation; Meteorology; Computer science; Spherical harmonics; Environmental science; Errors-in-variables models; Variable (mathematics); Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00131812,0.0009257756,0.0006206568,0.003011554,0.002340642,0.002890012,0.001728127,0.0005430966,0.01234091],"category_scores_gemma":[0.003034671,0.0003221167,0.0006929659,0.005523279,0.0003595626,0.0008736806,0.001028028,0.001007423,0.005073485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0212099,"about_ca_system_score_gemma":0.05601801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9814039,"about_ca_topic_score_gemma":0.9744304,"domain_scores_codex":[0.9985941,0.0001036569,0.00005689719,0.0002146972,0.0008787665,0.000151835],"domain_scores_gemma":[0.9963712,0.00007127468,0.00006326679,0.0001996391,0.003129363,0.0001652864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002135408,0.00006052987,0.01735881,0.0003042259,0.0001816015,0.0001202106,0.0002859827,0.06489009,0.002877282,0.02776949,0.586306,0.2996322],"study_design_scores_gemma":[0.0000900643,0.00002286518,0.02307108,0.0001682833,0.0001033658,0.00004450316,0.0002341005,0.2436284,0.002781598,0.004919378,0.7247134,0.0002229885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03997682,0.003721728,0.1245447,0.005989162,0.001883495,0.001360707,0.4713436,0.02346883,0.3277109],"genre_scores_gemma":[0.3346101,0.004732421,0.183925,0.001591746,0.0003100265,0.001014925,0.368568,0.002357125,0.1028905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0212099,"threshold_uncertainty_score":0.1538894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133382856328241,"score_gpt":0.2372557081907364,"score_spread":0.1239174225579123,"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."}}