{"id":"W3004779892","doi":"10.1016/j.jhydrol.2020.124668","title":"Seasonal stratification of a deep, high-altitude, dimictic lake: Nam Co, Tibetan Plateau","year":2020,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Chinese Academy of Sciences; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China","keywords":"Stratification (seeds); Atmospheric sciences; Latitude; Environmental science; Altitude (triangle); Plateau (mathematics); Climatology; Lapse rate; Effects of high altitude on humans; Mixing ratio; Geology; Meteorology; Geography","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":[0.0001412052,0.0001209931,0.0001437407,0.0005197852,0.0009649815,0.0005802521,0.0003322496,0.0002276279,0.0009069485],"category_scores_gemma":[0.0003224199,0.0001057157,0.00007619594,0.000743333,0.0005115455,0.0002238714,0.000393954,0.0001718104,0.00008192018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005272,"about_ca_system_score_gemma":0.0009183402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08919545,"about_ca_topic_score_gemma":0.1990224,"domain_scores_codex":[0.9999485,0.000009927927,0.000003723612,0.00001108711,0.000005939735,0.00002087482],"domain_scores_gemma":[0.9997936,0.00001840615,0.00003542904,0.000005289588,0.00004415805,0.0001031155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003279125,0.00008738493,0.9825883,0.00001757265,0.00002092733,0.0005330424,0.002224454,0.0001667819,0.01041675,0.0001522719,0.0002670116,0.003197439],"study_design_scores_gemma":[0.000005145248,0.00002945045,0.9980288,0.000001957565,0.000004288504,0.00007889689,0.001256169,0.0003602845,0.00009105771,0.00002404146,0.0001176514,0.000002157959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995888,0.000009587784,0.00001238673,0.00001549548,0.000001154772,0.000001441577,0.00004069354,0.000001396997,0.0003291225],"genre_scores_gemma":[0.9997291,0.0000047877,0.00002017147,0.000006888859,0.00000142273,0.000001696189,0.00005936181,6.89873e-7,0.000175952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08919545,"threshold_uncertainty_score":0.1773525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966651005033132,"score_gpt":0.2536982658472827,"score_spread":0.2340317557969514,"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."}}