{"id":"W4408433949","doi":"10.5194/egusphere-egu25-7821","title":" Cloud microphysics in Arctic and Antarctic environments derived from infrared emission spectroscopy","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto","funders":"","keywords":"The arctic; Cloud computing; Environmental science; Arctic; Infrared; Atmospheric sciences; Spectroscopy; Meteorology; Climatology; Oceanography; Physics; Geology; Astronomy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002148207,0.0002399956,0.00009646673,0.00104596,0.0003596619,0.000578549,0.0001720381,0.0001759174,0.0004544151],"category_scores_gemma":[0.0002585351,0.0001165736,0.0002958713,0.00119334,0.0001218721,0.000298396,0.0003065381,0.0001452257,0.0001738811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140573,"about_ca_system_score_gemma":0.0003002429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07165048,"about_ca_topic_score_gemma":0.1131179,"domain_scores_codex":[0.9999392,0.000006106436,0.000004777813,0.00001526092,0.00001836659,0.00001634828],"domain_scores_gemma":[0.9999135,0.00001418295,0.00002403076,0.000008181108,0.00002678972,0.00001333555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001219932,0.00006959805,0.9315826,0.00008333936,0.0001130723,0.0003073042,0.0003324629,0.01143081,0.0254592,0.0005945854,0.001360975,0.02854398],"study_design_scores_gemma":[0.00000493852,0.00001451346,0.9741512,0.00003042776,0.00003260297,0.00007522912,0.0002581308,0.01868537,0.004158946,0.0001208524,0.002453306,0.00001440509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928894,0.0004207719,0.0005913104,0.00004038913,0.000007653814,0.000008647634,0.002868678,0.00003474805,0.003138318],"genre_scores_gemma":[0.9921392,0.0006218262,0.002807777,0.00002994573,0.00001316791,0.00001410046,0.003660027,0.0000259929,0.0006879924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07165048,"threshold_uncertainty_score":0.1424668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00861017799006609,"score_gpt":0.2291849295198027,"score_spread":0.2205747515297366,"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."}}