{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006298871,0.0002119273,0.0003217236,0.0001286253,0.0003211286,0.00003341236,0.0007565579,0.0001862035,0.00729183],"category_scores_gemma":[0.0004470411,0.0001705062,0.00006099032,0.0002241443,0.0001588818,0.0003382469,0.00003610814,0.0001916025,0.0001603582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005259469,"about_ca_system_score_gemma":0.0001148538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003070587,"about_ca_topic_score_gemma":0.0008977425,"domain_scores_codex":[0.9981056,0.0002288197,0.0004029548,0.0006071878,0.0002041139,0.0004513346],"domain_scores_gemma":[0.9981865,0.0005650412,0.0001709882,0.00077635,0.0001287227,0.0001724272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00278147,0.0006236296,0.268023,0.00007933989,0.000512286,0.00003779913,0.001926128,0.001783764,0.00321352,0.4921049,0.01420869,0.2147054],"study_design_scores_gemma":[0.0009895763,0.001208567,0.768977,0.000006069193,0.00008736367,0.000003648769,0.00009980527,0.09851377,0.0001149485,0.1065251,0.02307332,0.0004008995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6712343,0.000661363,0.131587,0.007111608,0.003823707,0.003469215,0.006446392,0.0007316006,0.1749348],"genre_scores_gemma":[0.9388644,0.00002613765,0.05633394,0.001422693,0.0001138766,0.00000922434,0.002972121,0.00000682378,0.0002507659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.500954,"threshold_uncertainty_score":0.9936156,"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."}}