{"id":"W2132283122","doi":"10.1175/jas3620.1","title":"A Microphysical Bulk Formulation Based on Scaling Normalization of the Particle Size Distribution. Part I: Description","year":2005,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Normalization (sociology); Scaling; Statistical physics; Moment (physics); Curvature; Computer science; Spectral density; Algorithm; Applied mathematics; Physics; Mathematics; Classical mechanics; Geometry","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":[0.0008497875,0.00005889109,0.00009476782,0.000002313386,0.0003374188,0.0000631139,0.0003199575,0.00001924413,0.0001702037],"category_scores_gemma":[0.0003096166,0.00002861039,0.0001416387,0.0007355518,0.0001184275,0.0003962246,0.000007031828,0.00006562748,0.000005512894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001567227,"about_ca_system_score_gemma":0.0000756093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004219213,"about_ca_topic_score_gemma":0.00005427071,"domain_scores_codex":[0.9987031,0.0001343657,0.0003103939,0.00007521013,0.0006606769,0.0001162608],"domain_scores_gemma":[0.9991661,0.0001359947,0.0004392916,0.00009611159,0.0001268494,0.00003564361],"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":[0.00002215294,0.00002793506,0.277543,0.000002232781,0.000006260543,5.598391e-8,0.00007581482,0.7153555,0.001926293,0.00004168921,0.0001546309,0.004844452],"study_design_scores_gemma":[0.0001376113,0.00005833217,0.4243042,0.00003765123,0.00002917109,0.000001151988,0.00005688673,0.5703661,0.004460443,0.0001766217,0.0003370545,0.00003470841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995703,0.00007990773,0.001639775,0.002134183,0.0002762132,0.00005423811,0.000004008775,0.000003192141,0.0001054825],"genre_scores_gemma":[0.9983118,0.000007632382,0.001268221,0.0002445305,0.000129851,1.350488e-7,0.000001083576,8.62257e-7,0.00003594592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1467613,"threshold_uncertainty_score":0.2595187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130140498842198,"score_gpt":0.217044551818647,"score_spread":0.195743146830225,"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."}}