{"id":"W2790040305","doi":"10.1175/jcli-d-17-0891.1","title":"Homogenization and Trend Analysis of the 1958–2016 In Situ Surface Solar Radiation Records in China","year":2018,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Homogenization (climate); Homogeneity (statistics); Climatology; Environmental science; Quantile; Principal component analysis; Surface air temperature; Data series; Trend analysis; China; Meteorology; Mathematics; Statistics; Geography; Precipitation; Econometrics; Geology","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":[0.001015331,0.0002714886,0.0003728123,0.003931768,0.0003025439,0.0004885079,0.000241897,0.0001511758,0.0007806151],"category_scores_gemma":[0.001571554,0.0001816909,0.0005395378,0.004635677,0.0002322832,0.0004023253,0.0004546944,0.0001413953,0.0001701517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007426617,"about_ca_system_score_gemma":0.0006706352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03137813,"about_ca_topic_score_gemma":0.03651538,"domain_scores_codex":[0.9994855,0.00004940766,0.00007515757,0.0001514907,0.0001782771,0.0000601801],"domain_scores_gemma":[0.9994229,0.00006433574,0.0001348754,0.0001006682,0.0002403179,0.00003695611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009786798,0.00004803503,0.8875126,0.0001088866,0.0003396649,0.0002760282,0.0009499818,0.01428299,0.01159554,0.0008355409,0.001020432,0.08293251],"study_design_scores_gemma":[0.000003356854,0.00001896348,0.9882545,0.000006592576,0.00004506618,0.0000272676,0.0001735201,0.008894701,0.0008853528,0.0000876855,0.001593707,0.00000924536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947136,0.0001060839,0.003306068,0.00002783008,0.00001173065,0.00002306011,0.0007615557,0.00006526228,0.0009847898],"genre_scores_gemma":[0.9952952,0.00006714559,0.001620422,0.000005750383,0.0000152945,0.00001915946,0.002459207,0.00001476165,0.0005030995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03137813,"threshold_uncertainty_score":0.06239098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008243591932963442,"score_gpt":0.2500502484389653,"score_spread":0.2418066565060018,"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."}}