{"id":"W4408975006","doi":"10.1007/978-3-031-70424-6_36","title":"Modelling Arctic Atmospheric Aerosols: Representation of Aerosol Processing by Ice and Mixed-Phase Clouds","year":2025,"lang":"en","type":"book-chapter","venue":"Springer proceedings in complexity","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Environmental science; Atmospheric sciences; Arctic; Phase (matter); Meteorology; Geography; Geology; Oceanography; Physics","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":[0.0001625599,0.0007294821,0.0005436904,0.0001924274,0.0002287746,0.001438196,0.0008029557,0.0005902408,0.002416682],"category_scores_gemma":[0.000443314,0.0004574332,0.0006519824,0.000402973,0.0001895361,0.0008938944,0.0004645754,0.0004936036,0.0007962893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005228225,"about_ca_system_score_gemma":0.0006776904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02924443,"about_ca_topic_score_gemma":0.03191723,"domain_scores_codex":[0.9999338,0.00001198108,0.000003130858,0.00001159815,0.0000292962,0.00001013344],"domain_scores_gemma":[0.9999043,0.0000472074,0.000006833501,0.000008333674,0.00002212763,0.00001115265],"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":[0.00003714592,0.00002371456,0.000927348,0.00005424312,0.00005640903,0.00006663992,0.00002954975,0.9689693,0.002841334,0.005279555,0.001952756,0.0197619],"study_design_scores_gemma":[0.000005942817,0.000009399652,0.0005279615,0.00000927329,0.00001450452,0.0000175581,0.000008428863,0.9921157,0.001061266,0.002560562,0.003662648,0.000006820703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2710487,0.01595551,0.6113397,0.001665496,0.001576391,0.0001000924,0.002608587,0.002138963,0.09356647],"genre_scores_gemma":[0.8272378,0.01159428,0.1171943,0.0001748359,0.0006827064,0.0000889592,0.00182302,0.0008459587,0.04035807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02924443,"threshold_uncertainty_score":0.05814838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234689305700763,"score_gpt":0.2647026864744523,"score_spread":0.2223557934174447,"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."}}