{"id":"W4321489842","doi":"10.5194/egusphere-egu23-4129","title":"Anthropogenic aerosols turn liquid cloud droplets into ice crystals, produce snow and eat holes in the clouds","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Environmental science; Ice nucleus; Snow; Glacial period; Atmospheric sciences; Climatology; Geology; Meteorology; Geography; Chemistry","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":[0.00007090774,0.0002539575,0.0002069212,0.0003157405,0.0003355657,0.0007022712,0.0002255959,0.0002428426,0.002445159],"category_scores_gemma":[0.000184656,0.0001393908,0.0004623646,0.0004146805,0.0001670907,0.0003973218,0.0003773277,0.0001941454,0.0003825278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003554659,"about_ca_system_score_gemma":0.0002924058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01565316,"about_ca_topic_score_gemma":0.0180575,"domain_scores_codex":[0.9999332,0.000005085197,0.000004222674,0.0000187556,0.00001949865,0.00001921513],"domain_scores_gemma":[0.9999305,0.00001011645,0.00002489574,0.000006647984,0.00001291254,0.00001495329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000214621,0.0002889039,0.6771235,0.000245302,0.0003575893,0.0008464676,0.0003995853,0.08620118,0.1716095,0.002954496,0.003545503,0.05621329],"study_design_scores_gemma":[0.0001000068,0.0002090753,0.7324453,0.00007550976,0.0001448645,0.0003355021,0.0007327054,0.2068375,0.04071354,0.002407368,0.01594138,0.00005716198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981641,0.0002926929,0.006721072,0.00007605887,0.00003850016,0.00004978861,0.002240087,0.0003818097,0.008559003],"genre_scores_gemma":[0.9941743,0.0001679889,0.003493991,0.00003474517,0.00001317559,0.00001533487,0.001202025,0.00003853278,0.0008599791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01565316,"threshold_uncertainty_score":0.03112411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996067802526538,"score_gpt":0.2617948462335958,"score_spread":0.2418341682083304,"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."}}