{"id":"W2091570466","doi":"10.1175/jas3900.1","title":"Refinements to Ice Particle Mass Dimensional and Terminal Velocity Relationships for Ice Clouds. Part II: Evaluation and Parameterizations of Ensemble Ice Particle Sedimentation Velocities","year":2007,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Ice cloud; Particle (ecology); Range (aeronautics); Radar; Terminal velocity; Meteorology; Atmospheric sciences; Ice crystals; Geology; Environmental science; Physics; Mechanics; Materials science","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":[0.00290956,0.0001071244,0.0001535442,0.00000130037,0.0007885907,0.00004529868,0.0002027069,0.00003954714,0.00008243854],"category_scores_gemma":[0.0004246358,0.00007574006,0.00004694648,0.0005195635,0.0004237766,0.0003927671,0.0001287064,0.0000822933,0.000001731681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009359602,"about_ca_system_score_gemma":0.00005686416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006735783,"about_ca_topic_score_gemma":0.00005043332,"domain_scores_codex":[0.9982359,0.0001153601,0.0004896043,0.0001965135,0.0007252438,0.0002374177],"domain_scores_gemma":[0.998943,0.0002678202,0.0004538596,0.0001162493,0.00009318166,0.0001259191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004591094,0.0003754791,0.6708334,0.0000356151,0.00007088581,0.000002737091,0.007838217,0.1152102,0.1462132,0.001089018,0.002315587,0.05555652],"study_design_scores_gemma":[0.00126737,0.001109819,0.8171688,0.0000891328,0.0002202351,0.0000460248,0.004003594,0.1504958,0.01956147,0.003753859,0.002014251,0.0002696505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930408,0.0001285019,0.004788564,0.001358205,0.0002395958,0.0003005237,0.000002580841,0.000004929223,0.0001362885],"genre_scores_gemma":[0.9417048,0.0000124757,0.05773214,0.0003148679,0.00004364835,0.00001043958,4.276617e-7,0.000005572338,0.0001755979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1463353,"threshold_uncertainty_score":0.6065282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151134122650928,"score_gpt":0.29494112834935,"score_spread":0.2534297871228408,"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."}}