{"id":"W3165197376","doi":"","title":"Canadian High Arctic glacier surface mass budget (1950-2009)","year":2010,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Glacier; Arctic; Glacier mass balance; Geology; Physical geography; Environmental science; Oceanography; Geography","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":[0.0008249434,0.0006803475,0.0005770546,0.003067499,0.002891396,0.001421638,0.001371854,0.0004634892,0.006432377],"category_scores_gemma":[0.001513592,0.0004417674,0.0007851727,0.006533184,0.0003176311,0.0007001681,0.0007037494,0.000592654,0.001041194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05708815,"about_ca_system_score_gemma":0.08382206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989539,"about_ca_topic_score_gemma":0.9994178,"domain_scores_codex":[0.9993336,0.00002429608,0.00003001533,0.00008468996,0.0004008452,0.0001265019],"domain_scores_gemma":[0.9977044,0.00002858165,0.00008850244,0.00003851668,0.001982556,0.0001574551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001278129,0.0001478753,0.3899734,0.001182533,0.001427985,0.0004279111,0.0009102871,0.01662588,0.002745046,0.01001066,0.4428129,0.1324575],"study_design_scores_gemma":[0.0001007073,0.00002842725,0.7732422,0.0002569257,0.0003005651,0.0001218578,0.0005056396,0.004820149,0.001650415,0.0003535966,0.2185445,0.00007501327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2962948,0.01026482,0.00128706,0.005727754,0.0007144798,0.0002034726,0.6159129,0.0004955105,0.06909922],"genre_scores_gemma":[0.7373073,0.01060272,0.004410649,0.001073106,0.0001319504,0.0001422794,0.1620046,0.0001946768,0.08413269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05708815,"threshold_uncertainty_score":0.4142055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267655859739131,"score_gpt":0.2048680790848113,"score_spread":0.19219152048742,"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."}}