{"id":"W4400611040","doi":"10.2139/ssrn.4893389","title":"Improving Snowpack Chemistry Simulations Through Improved Representation of Liquid Water Movement Through Layered Snow and Rain-on-Snow (ROS) Episodes: Application to Svalbard, Norway","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Snowpack; Snow; Liquid water; Snowmelt; Environmental science; Movement (music); Representation (politics); Atmospheric sciences; Meteorology; Physical geography; Geology; Earth science; Geography; Physics","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":[0.0005229765,0.001062325,0.001239837,0.0004697451,0.0007195477,0.001395736,0.001903953,0.00169838,0.002107214],"category_scores_gemma":[0.001824774,0.0007615007,0.0009772577,0.0007314417,0.0005409713,0.001017845,0.0008324459,0.0008587333,0.0002711456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511662,"about_ca_system_score_gemma":0.002641648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2593457,"about_ca_topic_score_gemma":0.1134797,"domain_scores_codex":[0.9998292,0.000034003,0.00001568499,0.00004700104,0.00003115099,0.00004300395],"domain_scores_gemma":[0.9994036,0.0002654488,0.00005495553,0.00005792322,0.0001294983,0.00008866738],"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":[0.00009946697,0.0001468268,0.004119692,0.0000419001,0.00005193178,0.00008476656,0.00007387874,0.9890776,0.002126206,0.0002811628,0.0003160493,0.003580529],"study_design_scores_gemma":[0.00004314906,0.00001410183,0.0005849568,0.000002563464,0.000007249462,0.000002969051,0.00001040835,0.9989097,0.0002665177,0.00005499682,0.0000988572,0.000004603155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962205,0.0003568893,0.02687065,0.0003101163,0.0001572922,0.000142958,0.001367274,0.00183458,0.006755332],"genre_scores_gemma":[0.9861893,0.0001323885,0.01122311,0.00007138927,0.00004770245,0.00006506027,0.000770791,0.0002406612,0.00125956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2593457,"threshold_uncertainty_score":0.5156722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443417724208539,"score_gpt":0.2571624725590286,"score_spread":0.2427282953169432,"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."}}