{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002219803,0.0004692736,0.0003872573,0.0008633548,0.0002288056,0.0006676291,0.000625651,0.0002755039,0.0003758429],"category_scores_gemma":[0.01209532,0.0003032838,0.0004889218,0.0005834394,0.0001501886,0.0008556728,0.0003759506,0.0006354346,0.0001654304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007067352,"about_ca_system_score_gemma":0.0008127797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01542841,"about_ca_topic_score_gemma":0.0137702,"domain_scores_codex":[0.9995762,0.0001392995,0.00003121888,0.0000748862,0.0001507557,0.0000277505],"domain_scores_gemma":[0.9974425,0.001255901,0.0002884302,0.0003946176,0.0005520437,0.00006645006],"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":[0.0001095097,0.00009891361,0.06888623,0.00006660826,0.0001005381,0.00005432645,0.0001165662,0.781217,0.01337881,0.004449094,0.0005487384,0.1309736],"study_design_scores_gemma":[0.000006415866,0.0000310184,0.00716666,0.000006152632,0.000006914127,0.00002253987,0.00001143681,0.9889578,0.002982793,0.0004694709,0.0003278226,0.00001102735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5278744,0.000475146,0.4691195,0.00005067888,0.00003169831,0.0001054503,0.0004982459,0.0006121916,0.001232698],"genre_scores_gemma":[0.9041692,0.0002159882,0.09462021,0.00001249712,0.00001874353,0.00006745782,0.0004959436,0.0001116265,0.0002882809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01542841,"threshold_uncertainty_score":0.0306772,"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."}}