{"id":"W4409178341","doi":"10.1029/2024ms004644","title":"A Complete Three‐Moment Representation of Ice in the Predicted Particle Properties (P3) Microphysics Scheme","year":2025,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Science Foundation","keywords":"Scheme (mathematics); Moment (physics); Representation (politics); Particle (ecology); Statistical physics; Atmospheric sciences; Meteorology; Physics; Environmental science; Geology; Classical mechanics; Mathematics; Mathematical analysis; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043906,0.00007656506,0.0002172628,0.000005250256,0.00003983511,0.00002152586,0.000224488,0.00002537325,0.00000560972],"category_scores_gemma":[0.00003271706,0.00004906749,0.0000453545,0.0003705388,0.00007248135,0.0003061887,0.00004499935,0.0001450187,0.00000123063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005110637,"about_ca_system_score_gemma":0.00001916238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002828748,"about_ca_topic_score_gemma":0.000152209,"domain_scores_codex":[0.9986952,0.0000971785,0.0006184893,0.0001081084,0.0003433518,0.0001376518],"domain_scores_gemma":[0.9995,0.00003816575,0.0002688939,0.0001415028,0.00003272539,0.00001869339],"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":[0.00007551841,0.00008048002,0.06675581,0.00004169701,0.000005707671,0.000003363461,0.0008841841,0.9081968,0.02285591,0.00008904062,0.000007258129,0.001004217],"study_design_scores_gemma":[0.000492111,0.000115259,0.00392176,0.0003903158,0.000008521334,0.000004968011,0.002174438,0.9917457,0.000563632,0.0002778305,0.0002462886,0.0000591389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334462,0.002080911,0.06375353,0.0001147424,0.0001607076,0.0002026549,0.000001322213,0.00000296195,0.0002369736],"genre_scores_gemma":[0.9969379,0.0002191945,0.002731384,0.00003329971,0.00003099459,0.000008832815,3.168788e-7,0.000003971768,0.00003406575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08354893,"threshold_uncertainty_score":0.2000914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535355544413899,"score_gpt":0.261464442402237,"score_spread":0.236110886958098,"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."}}