{"id":"W4404349924","doi":"10.1126/science.adl0303","title":"Glaciation of liquid clouds, snowfall, and reduced cloud cover at industrial aerosol hot spots","year":2024,"lang":"en","type":"article","venue":"Science","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Glacial period; Aerosol; Environmental science; Snow; Atmospheric sciences; Supercooling; Cloud cover; Climatology; Physical geography; Geology; Meteorology; Cloud computing; Geography; Geomorphology","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":[0.00009587861,0.0001722981,0.0001659816,0.0004132554,0.0003364001,0.0003160112,0.0001467854,0.0002654066,0.001543317],"category_scores_gemma":[0.0002189505,0.00008793898,0.0001897534,0.0003140551,0.0003569541,0.0002080738,0.0002796129,0.000222488,0.0001376875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566237,"about_ca_system_score_gemma":0.0001259757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005672541,"about_ca_topic_score_gemma":0.01059951,"domain_scores_codex":[0.9999439,0.000005722924,0.000003587872,0.00001125073,0.00001348266,0.00002211981],"domain_scores_gemma":[0.9997434,0.00002922661,0.0001311032,0.00001803113,0.00003607694,0.00004207059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000402411,0.00004742,0.9281555,0.00006085366,0.0001021708,0.0004541572,0.0003614516,0.0005219392,0.06242092,0.00009694515,0.0001990453,0.007177144],"study_design_scores_gemma":[0.000001961735,0.00001646778,0.9985555,0.000001395753,0.000007652834,0.0000418789,0.00007299938,0.00008223257,0.001089178,0.00001757779,0.0001121353,0.000001046636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992703,0.00007831834,0.00005569706,0.00002013218,0.000002238306,0.000001470943,0.00006432407,0.000008971902,0.0004985298],"genre_scores_gemma":[0.9997566,0.00003064395,0.00003514687,0.000009420247,0.000004129822,8.658253e-7,0.00009485456,0.000001572452,0.00006664312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005672541,"threshold_uncertainty_score":0.01127905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153667568432103,"score_gpt":0.2401449367812947,"score_spread":0.2247781799380844,"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."}}