{"id":"W2014401730","doi":"10.1029/2002gl015757","title":"On the relationship between Dasuopu Snow Accumulation and the Asian Summer Monsoon","year":2002,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Snow; Ice core; Climatology; Monsoon; Glacier; Hadley cell; East Asian Monsoon; Cryosphere; Proxy (statistics); Geology; Atmospheric circulation; Atmospheric sciences; Environmental science; Climate change; Sea ice; General Circulation Model; Oceanography; Geomorphology","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":[0.0004201226,0.0001432463,0.0001398714,0.0005993596,0.0004333418,0.0008834199,0.0002062767,0.0002786184,0.001856804],"category_scores_gemma":[0.002826363,0.0001435441,0.0001167578,0.001118713,0.000393871,0.0003710645,0.0004678649,0.0003050184,0.0001930517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003569669,"about_ca_system_score_gemma":0.0003426982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009199177,"about_ca_topic_score_gemma":0.01274718,"domain_scores_codex":[0.9998888,0.00004361288,0.000006931811,0.00001775784,0.0000152594,0.00002761135],"domain_scores_gemma":[0.997285,0.00161576,0.0006028006,0.00005853115,0.0001791731,0.0002587448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002746844,0.00004532511,0.987183,0.00002343591,0.00007417904,0.0004354957,0.0004880047,0.001518289,0.001680907,0.001044509,0.0003019999,0.006930269],"study_design_scores_gemma":[0.0000071247,0.00004832728,0.9943124,0.00001011913,0.00003389235,0.0001250965,0.0004451454,0.003931987,0.0002306393,0.0004400138,0.0004087968,0.000006426779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998304,0.000124756,0.00006856728,0.0001749829,0.000003515467,0.000001321771,0.00006615026,0.000003697592,0.001252937],"genre_scores_gemma":[0.999701,0.00009039722,0.00002486692,0.00001085462,0.00001081548,9.975779e-7,0.00004645313,0.000001086531,0.0001135591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009199177,"threshold_uncertainty_score":0.01829123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2231067042868581,"score_gpt":0.3647021329341353,"score_spread":0.1415954286472771,"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."}}