{"id":"W2161816611","doi":"10.1175/jtech-d-13-00007.1","title":"Improved Airborne Hot-Wire Measurements of Ice Water Content in Clouds","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Glenn Research Center; Canadian Space Agency; Transport Canada; Federal Aviation Administration; National Aeronautics and Space Administration","keywords":"Wind tunnel; Environmental science; Ice crystals; Materials science; Particle (ecology); Wind speed; Atmospheric sciences; Meteorology; Remote sensing; Optics; Geology; Physics; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001879001,0.0003026948,0.0002942395,0.0004764968,0.0001542539,0.0002925154,0.0003603596,0.0002384953,0.0006831384],"category_scores_gemma":[0.0002462937,0.0001667618,0.0001671731,0.0003654344,0.0001274923,0.0005153131,0.0003032413,0.0002342636,0.0001811212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709564,"about_ca_system_score_gemma":0.0002044601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004020351,"about_ca_topic_score_gemma":0.007639777,"domain_scores_codex":[0.999742,0.00002064072,0.000005981033,0.00008339719,0.0001192372,0.00002880338],"domain_scores_gemma":[0.9998782,0.00002382786,0.00001674681,0.00001033047,0.00005820485,0.00001281764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002449282,0.00007695975,0.03636441,0.0001094548,0.000032421,0.00008934838,0.00009370803,0.002928663,0.9216291,0.0001516106,0.0004806722,0.03779889],"study_design_scores_gemma":[0.00009896698,0.000525611,0.2289407,0.00004189331,0.0001245645,0.0003063053,0.0003217776,0.1338111,0.6316786,0.0002757405,0.003783832,0.0000908451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647209,0.0004103022,0.031412,0.00003181199,0.0000521134,0.00005018129,0.0005891902,0.0003667547,0.00236677],"genre_scores_gemma":[0.9834505,0.000129912,0.01558668,0.00002422511,0.00001769857,0.00001914862,0.0003373511,0.00002055897,0.0004139586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004020351,"threshold_uncertainty_score":0.007993937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245671534250094,"score_gpt":0.2015836026137809,"score_spread":0.18912688727128,"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."}}