{"id":"W2166438194","doi":"10.1023/a:1018965008049","title":"Simulation Of Blowing Snow In The Canadian Arctic Using A Double-Moment Model","year":2001,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snow; Sublimation (psychology); Snowpack; Environmental science; Atmospheric sciences; Parametrization (atmospheric modeling); Humidity; Arctic; Snowmelt; Meteorology; Climatology; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004595072,0.0001003203,0.0001706292,0.00007988753,0.0003851898,0.00004142514,0.000170262,0.00006844478,0.0004244178],"category_scores_gemma":[0.00005514637,0.0000758368,0.00004773463,0.0003857046,0.0001048873,0.0001105813,0.000008787953,0.0001229353,0.000008640588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003845478,"about_ca_system_score_gemma":0.0002662059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4556282,"about_ca_topic_score_gemma":0.9032134,"domain_scores_codex":[0.9989927,0.00007361042,0.0002506056,0.0001711614,0.0001708963,0.0003409682],"domain_scores_gemma":[0.9993765,0.0002630008,0.0000653644,0.0001758475,0.00005888259,0.00006037475],"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":[0.00003566888,0.000008439698,0.2496883,0.000003521031,0.00001364708,0.000009014232,0.0008691454,0.7471461,0.000007329678,0.0001665398,0.00001235878,0.002039853],"study_design_scores_gemma":[0.0003646768,0.00004867949,0.264705,0.000005529355,0.00002236806,0.0000071933,0.0002143152,0.727672,0.000001404675,0.001402576,0.005482343,0.00007395202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939262,0.0005188622,0.00258006,0.001139864,0.0001820981,0.0002149515,0.00001255783,0.0000068741,0.001418559],"genre_scores_gemma":[0.9977222,0.00002001936,0.001231474,0.0009101883,0.00004938725,0.000002420352,0.00002270561,0.000002965708,0.00003864518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4475852,"threshold_uncertainty_score":0.5479968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08047223297592483,"score_gpt":0.2875630383375645,"score_spread":0.2070908053616397,"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."}}