{"id":"W4378220389","doi":"10.5194/amt-16-2485-2023","title":"HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE","year":2023,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"European Space Agency","keywords":"Aerosol; Radiative transfer; Environmental science; Remote sensing; Atmospheric sciences; Radiative forcing; Troposphere; Lidar; Meteorology; Physics; Geology; Optics","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":[0.0006258595,0.0006672124,0.0005652864,0.0005013907,0.0005125058,0.001304644,0.002069883,0.001250416,0.002831124],"category_scores_gemma":[0.001155049,0.0003457995,0.0009977738,0.0004737466,0.0004208485,0.001313987,0.0009143915,0.001108948,0.001124858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144672,"about_ca_system_score_gemma":0.001424801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02442055,"about_ca_topic_score_gemma":0.01945893,"domain_scores_codex":[0.9997157,0.00004081828,0.0000141914,0.00006882821,0.0001280682,0.00003223558],"domain_scores_gemma":[0.9996173,0.00009109164,0.00003060487,0.00006928056,0.0001577744,0.00003381292],"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":[0.00007154486,0.00005805428,0.002268422,0.00003364221,0.00007632008,0.00006034451,0.0000269114,0.9549215,0.002086268,0.009772738,0.00702873,0.02359556],"study_design_scores_gemma":[0.000005640841,0.000004983335,0.000148481,0.000002128666,0.000002978973,0.000005359028,0.000001608411,0.9959214,0.0003645756,0.00182048,0.00171813,0.000004317054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04641946,0.0003106234,0.9266641,0.0004397005,0.0002230747,0.0003551791,0.005025741,0.01137794,0.00918425],"genre_scores_gemma":[0.5939863,0.0003154699,0.3795174,0.00062721,0.0001586924,0.0009365614,0.01267251,0.001528936,0.01025687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02442055,"threshold_uncertainty_score":0.0485568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05685792715333954,"score_gpt":0.2678441849240116,"score_spread":0.210986257770672,"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."}}