{"id":"W2060321602","doi":"10.5539/jgg.v6n2p124","title":"Temperature Change and Its Elevation Dependency in the Source Region of the Yangtze River and Yellow River","year":2014,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qinghai Normal University; National Science Foundation","keywords":"Global warming; Plateau (mathematics); Environmental science; Elevation (ballistics); Climate change; Yangtze river; Urbanization; Climatology; Maximum temperature; Mean radiant temperature; Amplitude; Atmospheric sciences; Geography; Geology; Oceanography; Ecology; China","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003421099,0.0001277349,0.0001591855,0.0009272551,0.0001903763,0.0003325462,0.0001146277,0.0001135584,0.0008052844],"category_scores_gemma":[0.0009622822,0.0001288166,0.0002703938,0.001336813,0.0002480072,0.0003269347,0.0003923731,0.0001689314,0.00008365615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877174,"about_ca_system_score_gemma":0.0002836028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154367,"about_ca_topic_score_gemma":0.01749402,"domain_scores_codex":[0.9997963,0.00005215474,0.00002052535,0.00004762186,0.00004615277,0.00003725327],"domain_scores_gemma":[0.9994392,0.000157001,0.0001533244,0.00005204987,0.0001463792,0.00005201404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004561755,0.000008774805,0.9930797,0.00001587749,0.00005839155,0.00007088981,0.0003245638,0.0007392768,0.001261433,0.0001342215,0.0001137469,0.004147426],"study_design_scores_gemma":[0.000001226134,0.000006064713,0.9993443,0.000001292192,0.000006866522,0.00001514423,0.00006744833,0.0003761543,0.00005574353,0.00001709293,0.0001070991,0.000001550981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987469,0.00009770791,0.0001741877,0.00002280471,0.000002568449,0.000003643757,0.0002138634,0.000005519152,0.0007327587],"genre_scores_gemma":[0.9995053,0.00005995809,0.00006199218,0.000002998085,0.000003702483,0.000004704847,0.0002496501,0.000001729779,0.0001100314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01154367,"threshold_uncertainty_score":0.02295291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00962730270396742,"score_gpt":0.1953910478506677,"score_spread":0.1857637451467003,"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."}}