{"id":"W4310289578","doi":"10.5194/egusphere-2022-1241","title":"HETEAC – The Hybrid End-To-End Aerosol Classification model for EarthCARE","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":12,"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; Lidar; Radiative forcing; Atmospheric sciences; Troposphere; Mode (computer interface); Meteorology; Computer science; 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":[0.0006358066,0.0006629384,0.0005669057,0.0005153642,0.0005096039,0.001301358,0.00212562,0.001250627,0.002975273],"category_scores_gemma":[0.001191632,0.0003533739,0.001024224,0.0004689629,0.0004393453,0.001294692,0.0009154589,0.001107349,0.001199141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474678,"about_ca_system_score_gemma":0.001434498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02515204,"about_ca_topic_score_gemma":0.01997411,"domain_scores_codex":[0.999707,0.00004100661,0.00001458676,0.00007182924,0.0001325769,0.00003303878],"domain_scores_gemma":[0.9996153,0.00009303798,0.00003018203,0.00007178128,0.0001568616,0.00003288148],"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":[0.00007884263,0.00006114844,0.002365708,0.00003653256,0.00007855811,0.00006368925,0.00002846673,0.9519558,0.002263293,0.01013593,0.007818664,0.02511335],"study_design_scores_gemma":[0.00000605633,0.000005159811,0.0001515438,0.000002136062,0.000003097935,0.000005787114,0.00000164862,0.9957439,0.0004101548,0.001859253,0.001806742,0.00000446662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04306842,0.0002903945,0.9289308,0.0004156997,0.0002055207,0.0003604459,0.005018158,0.01288432,0.008826259],"genre_scores_gemma":[0.5690697,0.0003049468,0.4031952,0.000631096,0.0001494164,0.0009777471,0.01355546,0.001663405,0.01045292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02515204,"threshold_uncertainty_score":0.05001128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03970189315229423,"score_gpt":0.2719971706317701,"score_spread":0.2322952774794759,"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."}}