{"id":"W4240665566","doi":"10.1109/tap.2020.3039030","title":"2020 IEEE Electromagnetics Award","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Electromagnetics; Computer science; Computational electromagnetics; Electrical engineering; Physics; Engineering; Electromagnetic field; Engineering physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00009760374,0.0001069492,0.0001133759,0.00005256069,0.0001915892,0.00006684437,0.00006344965,0.00004399088,0.000785805],"category_scores_gemma":[0.000005884539,0.00009134438,0.00005607065,0.0002951279,0.00003669581,0.0001757666,1.128741e-7,0.0001343556,0.0001667762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002813211,"about_ca_system_score_gemma":0.00002171893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005907734,"about_ca_topic_score_gemma":0.0002316339,"domain_scores_codex":[0.9991984,0.00005898934,0.0001654519,0.0002150051,0.0002171742,0.0001450247],"domain_scores_gemma":[0.9996682,0.00003310011,0.00004748215,0.00006415175,0.00005320404,0.0001337932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008260571,0.0001650973,0.01541671,0.0001879207,0.000292637,0.00002864256,0.002799492,0.02928598,0.08308039,0.00006022905,0.003297485,0.8645594],"study_design_scores_gemma":[0.001564969,0.002530701,0.04087774,0.00005979687,0.0003189025,0.00001793984,0.0004595214,0.8963352,0.05289545,0.0005865435,0.003552828,0.0008004266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4287382,0.0003797692,0.5551441,0.01288372,0.0005200386,0.0003932751,0.00008527721,0.0001942158,0.001661453],"genre_scores_gemma":[0.9980051,0.0003659747,0.000436852,0.0009022687,0.00008338402,0.000001894234,0.00001897188,0.000003507583,0.0001820314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8670492,"threshold_uncertainty_score":0.8604014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282496003844812,"score_gpt":0.2135113317038627,"score_spread":0.1906863716654146,"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."}}