{"id":"W2376750657","doi":"","title":"Calculation of Precipitation of Qinghai Lake During Little Ice Age Based on GIS","year":2013,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Precipitation; Shore; Climate change; Plateau (mathematics); Qinghai lake; Structural basin; Physical geography; Hydrology (agriculture); Monsoon; Arid; Geology; Environmental science; Climatology; Glacier; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008057263,0.00004626479,0.00008001371,0.00005689494,0.00002810327,0.0000114691,0.00003494805,0.00003162196,0.001089255],"category_scores_gemma":[0.00003546024,0.00003305915,0.00002887405,0.0000894419,0.00001840931,0.00007981314,0.000001237488,0.00003084277,0.00005144174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":9.202956e-7,"about_ca_system_score_gemma":0.000008489399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003718754,"about_ca_topic_score_gemma":0.002584559,"domain_scores_codex":[0.999533,0.00003457948,0.0001354784,0.00008294883,0.0001370639,0.00007693174],"domain_scores_gemma":[0.9996777,0.00009532242,0.00006025866,0.0000985536,0.00003750451,0.00003070777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001397874,0.00009143064,0.5301873,0.0002290702,0.00002734348,0.000005163415,0.00147731,0.2525329,0.006647717,0.00005090844,0.0007610959,0.20785],"study_design_scores_gemma":[0.0001500163,0.0000632337,0.8303477,0.0000285328,0.000003445528,3.16715e-7,0.00002559428,0.1663311,0.002825029,0.0000628608,0.0001222534,0.00003990069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768116,0.00001167372,0.0002077016,0.00007472969,0.00006406273,0.00007904192,0.000006103625,0.00001525923,0.02272979],"genre_scores_gemma":[0.9977872,0.000003642398,0.001448872,0.00002646426,0.00002099817,4.802825e-8,0.00005158205,0.000001335044,0.0006598338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3001604,"threshold_uncertainty_score":0.9998239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046908366910967,"score_gpt":0.199004111373537,"score_spread":0.1885350277044274,"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."}}