{"id":"W1991870655","doi":"10.1029/2004gl020040","title":"On the relationship between Tibetan snow cover, the Tibetan plateau monsoon and the Indian summer monsoon","year":2004,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Monsoon; Plateau (mathematics); Climatology; East Asian Monsoon; Snow cover; Snow; Monsoon of South Asia; Physical geography; Geology; Geography; Meteorology","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":[0.000511073,0.0001646528,0.0001482232,0.0007531361,0.0003360231,0.0007834216,0.0001868846,0.0001980695,0.001344474],"category_scores_gemma":[0.00145946,0.0001036856,0.0001709166,0.001567398,0.0005151429,0.0003277914,0.0002918132,0.0001964929,0.0001278097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003628076,"about_ca_system_score_gemma":0.0004547488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02299744,"about_ca_topic_score_gemma":0.03719095,"domain_scores_codex":[0.9998801,0.00005062909,0.000005337192,0.00001336612,0.00001601831,0.00003463728],"domain_scores_gemma":[0.9992813,0.0004000131,0.0001689952,0.00002253839,0.00005591972,0.00007119949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002658492,0.00002623677,0.979134,0.00003814582,0.0001435749,0.0004969863,0.0003158354,0.005187015,0.002147709,0.001626256,0.0002246468,0.01039371],"study_design_scores_gemma":[0.000006418214,0.00005659694,0.9906057,0.00001162518,0.0000317846,0.00008026705,0.0003793806,0.006907114,0.0001104426,0.001379688,0.0004239515,0.00000703555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968466,0.0006474293,0.0002288158,0.0001775648,0.000005665564,0.000002063537,0.0001047079,0.000004380527,0.001982652],"genre_scores_gemma":[0.9992127,0.0003405034,0.00008645467,0.00001806765,0.00002025827,0.000001086395,0.00008825355,0.000001515333,0.0002310955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02299744,"threshold_uncertainty_score":0.04572713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08547123988394227,"score_gpt":0.3201389108975011,"score_spread":0.2346676710135588,"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."}}