{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001981933,0.0004823361,0.0002814163,0.002483746,0.0003064198,0.000592462,0.0003374329,0.0001432194,0.002400065],"category_scores_gemma":[0.0004938603,0.0001811871,0.0004244826,0.003143168,0.00009957759,0.000336318,0.000255809,0.0001331733,0.0003694605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006832152,"about_ca_system_score_gemma":0.0006333517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05101013,"about_ca_topic_score_gemma":0.03555428,"domain_scores_codex":[0.9998253,0.0000135525,0.00002518233,0.00004067783,0.00006389124,0.00003147752],"domain_scores_gemma":[0.9997904,0.00001992398,0.00003918114,0.000009123822,0.0001116542,0.00002970007],"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":[0.0001619127,0.00009894561,0.8099872,0.0003799185,0.0002621571,0.0008435342,0.0009127563,0.05374522,0.007234371,0.00108553,0.01914276,0.1061457],"study_design_scores_gemma":[0.00003431246,0.00003869176,0.8832088,0.00002239136,0.00006296851,0.0001252738,0.0004167729,0.1021845,0.00177911,0.0002320952,0.01185681,0.00003834543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206327,0.0003493992,0.02267066,0.0001415725,0.00007086543,0.0002475745,0.04192489,0.00169775,0.01226456],"genre_scores_gemma":[0.951579,0.0003031116,0.01773416,0.00002357736,0.00005392524,0.00023969,0.02701829,0.00008390769,0.002964195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05101013,"threshold_uncertainty_score":0.1014264,"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."}}