{"id":"W1059386670","doi":"10.15394/ijaaa.2015.1045","title":"Aviation Bird Hazard in NEXRAD Dual Polarization Weather Radar Confirmed by Visual Observations","year":2015,"lang":"en","type":"article","venue":"International Journal of Aviation Aeronautics and Aerospace","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weather radar; Radar; Secondary surveillance radar; Meteorology; Environmental science; Aeronautics; Remote sensing; Geography; Computer science; Engineering; Telecommunications","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":[0.0004300819,0.0001379124,0.0001162771,0.0006877178,0.0002619462,0.0006026202,0.0001605405,0.0003093064,0.0005996338],"category_scores_gemma":[0.001452348,0.0001022568,0.00009472474,0.0003649557,0.0002589443,0.0004184312,0.0004426332,0.0002643288,0.0001714649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000312195,"about_ca_system_score_gemma":0.0001574077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242851,"about_ca_topic_score_gemma":0.02042046,"domain_scores_codex":[0.9997301,0.00005296639,0.00001602386,0.00006158699,0.00008537689,0.00005412264],"domain_scores_gemma":[0.9991905,0.0001753473,0.00029518,0.0000783401,0.0002086205,0.00005212125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006004402,0.0001443874,0.936825,0.00004860471,0.00004526553,0.002623946,0.0008284242,0.004331128,0.02800295,0.0003003036,0.0009477644,0.02530159],"study_design_scores_gemma":[0.000007599438,0.0001678742,0.9708515,0.00002096828,0.00002361744,0.001112854,0.001187457,0.02035229,0.005218596,0.0001178361,0.0009228674,0.0000165143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975711,0.00004179379,0.0006278932,0.00002771951,0.000005187868,0.000007813966,0.00009474789,0.00001416297,0.001609528],"genre_scores_gemma":[0.9991265,0.0000249613,0.0005489462,0.000008772566,0.000002572524,0.000001779339,0.00009023651,0.000001538024,0.0001945968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242851,"threshold_uncertainty_score":0.02471238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191487527432946,"score_gpt":0.2611998240279911,"score_spread":0.2292849487536616,"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."}}