{"id":"W3034287935","doi":"10.1016/j.scib.2020.06.009","title":"Consistency of global warming trends strengthened since 1880s","year":2020,"lang":"en","type":"article","venue":"Science Bulletin","topic":"Climate variability and models","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Consistency (knowledge bases); Global warming; Environmental science; Climatology; Econometrics; Climate change; Computer science; Mathematics; Geology; Oceanography; Artificial intelligence","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":[0.002154918,0.0002751188,0.0003432314,0.001553962,0.0006768797,0.001604072,0.0004221143,0.0004073144,0.006166732],"category_scores_gemma":[0.008579577,0.0002509991,0.0004884669,0.002138477,0.0009701886,0.001183387,0.001381342,0.0008388099,0.000703616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128972,"about_ca_system_score_gemma":0.001447138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02280618,"about_ca_topic_score_gemma":0.02236474,"domain_scores_codex":[0.999302,0.00008953045,0.0000792755,0.000312775,0.0001278492,0.0000885546],"domain_scores_gemma":[0.9963982,0.0006347178,0.0007617764,0.0005913304,0.001428967,0.0001850027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004328602,0.0000301269,0.8880517,0.0003659566,0.0005343886,0.0001797709,0.001872616,0.004801801,0.004049818,0.0140656,0.008972177,0.07664303],"study_design_scores_gemma":[0.000013871,0.00003230503,0.9595181,0.00007812737,0.0001124475,0.00007082946,0.0003488287,0.0009823841,0.0008409459,0.002234102,0.03575226,0.00001584811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316514,0.005981961,0.003286937,0.008767593,0.0007476739,0.00003049852,0.009313981,0.000291395,0.03992848],"genre_scores_gemma":[0.9920266,0.001112648,0.0007747358,0.0003902527,0.0002921593,0.000008401714,0.002651726,0.00008406414,0.002659401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02280618,"threshold_uncertainty_score":0.04534686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134581445266784,"score_gpt":0.2486652385035762,"score_spread":0.2273194240509083,"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."}}