{"id":"W2181655085","doi":"","title":"Measuring snow water equivalent and snow density using tdr mini-probes","year":2005,"lang":"en","type":"article","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Water equivalent; Snow; Environmental science; Meteorology; Atmospheric sciences; Geology; Geography","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":[0.0004087199,0.0004007004,0.0003853306,0.0003246168,0.0003765814,0.0002273362,0.0005086162,0.0003709835,0.001181514],"category_scores_gemma":[0.0009405809,0.000255394,0.0002435529,0.0003547579,0.0002680825,0.000460769,0.000412592,0.0005214829,0.0004458553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840904,"about_ca_system_score_gemma":0.0002239329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724665,"about_ca_topic_score_gemma":0.003382743,"domain_scores_codex":[0.9995962,0.00006112476,0.00001792874,0.0001284675,0.0001477099,0.00004858321],"domain_scores_gemma":[0.9995079,0.0001475656,0.00007797235,0.00008760758,0.0001328334,0.00004619735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003405663,0.0001426733,0.006730909,0.00004269526,0.00001938255,0.00001848808,0.0001666111,0.0005741089,0.9780075,0.0001277381,0.0001084587,0.01372092],"study_design_scores_gemma":[0.00009581273,0.002443321,0.08420806,0.000007459465,0.00006565447,0.0001845192,0.0002262095,0.008630184,0.9004552,0.0003676925,0.003270052,0.00004579021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402004,0.000100492,0.05599627,0.00002888313,0.00003130901,0.0002128184,0.0006389186,0.000253054,0.002537892],"genre_scores_gemma":[0.9283492,0.0001898477,0.06656255,0.0001121239,0.00001972737,0.0005168536,0.0008354973,0.00009789492,0.003316314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001724665,"threshold_uncertainty_score":0.003952563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0785389038535499,"score_gpt":0.2316825688414657,"score_spread":0.1531436649879158,"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."}}