{"id":"W3011617043","doi":"","title":"Moisture Sources for Snowfall to Mt. Logan, Yukon","year":2002,"lang":"en","type":"article","venue":"AGUSM","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Moisture; Climatology; Environmental science; Physical geography; Meteorology; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006026823,0.0002188518,0.0001405763,0.0008235191,0.0004148447,0.0003617807,0.0002726832,0.0002073947,0.001509105],"category_scores_gemma":[0.0002467327,0.0001361329,0.0001877822,0.001371748,0.0001056018,0.0002908336,0.000278682,0.0001813475,0.000236887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205137,"about_ca_system_score_gemma":0.001008684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2799645,"about_ca_topic_score_gemma":0.4844786,"domain_scores_codex":[0.9999532,0.000003627997,0.000004044653,0.00001125326,0.000009624348,0.00001821661],"domain_scores_gemma":[0.9998815,0.00001300592,0.00002485533,0.000007051369,0.00005402676,0.00001952326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006248315,0.00007551788,0.9249859,0.000190482,0.0002192606,0.0007745464,0.0007975434,0.00996122,0.0133815,0.001150589,0.007656727,0.04018191],"study_design_scores_gemma":[0.00003078709,0.00001376834,0.9898527,0.00001677967,0.00003511238,0.00005562157,0.0004522894,0.005634795,0.001152576,0.0002228649,0.002520781,0.00001183889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882494,0.000153824,0.0002434595,0.0001112107,0.00001107248,0.00001016865,0.008994354,0.0001044411,0.002121995],"genre_scores_gemma":[0.9958771,0.00006623389,0.0001827709,0.000009557779,0.000004140391,0.000004453669,0.003287948,0.00001457993,0.0005530996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7200356,"threshold_uncertainty_score":0.5566698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03458669252323973,"score_gpt":0.2134571928270008,"score_spread":0.1788705003037611,"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."}}