{"id":"W2981744070","doi":"","title":"Targeted observations for radar data assimilation","year":2011,"lang":"en","type":"article","venue":"35th Conference on Radar Meteorology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Radar; Data assimilation; Remote sensing; Computer science; Meteorology; Geology; Geography; Telecommunications","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":[0.0005183801,0.0005421464,0.0005268315,0.0002047818,0.0002467553,0.0007941656,0.0006746141,0.0005707396,0.002094815],"category_scores_gemma":[0.001591791,0.0004813449,0.0004332165,0.0003441236,0.000248321,0.001097692,0.001194364,0.001090431,0.0008619292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471297,"about_ca_system_score_gemma":0.0006814006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00789347,"about_ca_topic_score_gemma":0.008854136,"domain_scores_codex":[0.9998098,0.00005478478,0.000008752391,0.00005059502,0.00005409238,0.00002200387],"domain_scores_gemma":[0.9996914,0.00005518713,0.00001937313,0.0001031831,0.0001092738,0.00002162937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007286287,0.0001699655,0.003631045,0.000175246,0.0002452032,0.0001691353,0.0002891235,0.4645573,0.08918182,0.05093846,0.02236579,0.3675483],"study_design_scores_gemma":[0.00003556149,0.00004579713,0.001132427,0.00001118163,0.00002213659,0.00001738184,0.00001405035,0.9749887,0.007242063,0.009680665,0.006796068,0.00001397768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03828857,0.0007235194,0.9534646,0.000346363,0.0003538646,0.00004564287,0.0005918036,0.00195714,0.004228482],"genre_scores_gemma":[0.6152164,0.0006729235,0.3751068,0.0002271084,0.0002169791,0.0001062249,0.002006339,0.0006702307,0.005777036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00789347,"threshold_uncertainty_score":0.01569504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2824934798373406,"score_gpt":0.2965369891517542,"score_spread":0.01404350931441367,"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."}}