{"id":"W7100105771","doi":"","title":"P1.2 DATA IMPACT STUDIES USING THE NEW GLOBAL ASSIMILATION SYSTEM OF THE CANADIAN METEOROLOGICAL CENTRE","year":2015,"lang":"en","type":"article","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data assimilation; Numerical weather prediction; Assimilation (phonology); Weather forecasting; Numerical models","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005642243,0.0007315323,0.0005116706,0.001585998,0.001697103,0.002582709,0.001709047,0.0008268286,0.01148337],"category_scores_gemma":[0.009752751,0.0003917793,0.0007530384,0.002751424,0.0007714446,0.002165759,0.001285793,0.001022104,0.00140322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007032497,"about_ca_system_score_gemma":0.00824934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5760558,"about_ca_topic_score_gemma":0.5988868,"domain_scores_codex":[0.9958392,0.0005452095,0.000106985,0.0003366593,0.002922227,0.0002497587],"domain_scores_gemma":[0.9909046,0.00138168,0.0003708922,0.0009771225,0.005991412,0.0003742258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003170389,0.001243851,0.3343031,0.001274326,0.0008188778,0.001111012,0.0009289979,0.1605681,0.04303546,0.02307687,0.1851867,0.2452823],"study_design_scores_gemma":[0.0003787844,0.0008200976,0.6140213,0.0001701089,0.0002774583,0.0002705083,0.001193516,0.1847009,0.05122937,0.007082552,0.1396254,0.0002299929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.573137,0.001961042,0.03855681,0.006155785,0.00104205,0.003827597,0.1152375,0.002386851,0.2576954],"genre_scores_gemma":[0.8836669,0.0009633332,0.03650155,0.0007469507,0.0001773825,0.000677484,0.04586356,0.0009157929,0.03048705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4239442,"threshold_uncertainty_score":0.8528818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2498152757167314,"score_gpt":0.3422597170330927,"score_spread":0.09244444131636126,"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."}}