{"id":"W2316816339","doi":"10.1007/s10584-016-1659-4","title":"Investigating the pace of temperature change and its implications over the twenty-first century","year":2016,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"Direction Générale de l’Armement; Eidgenössische Technische Hochschule Zürich; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Agence Nationale de la Recherche","keywords":"Climate change; Environmental science; Climatology; Latitude; Population; Baseline (sea); Pace; Global warming; Representative Concentration Pathways; Climate model; Geography; Demography; 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":[0.000789887,0.0002361649,0.0001795182,0.0006246626,0.000293275,0.001726504,0.0003753967,0.0006541942,0.001973676],"category_scores_gemma":[0.003617228,0.000179087,0.0002988333,0.002383846,0.0006210467,0.001482044,0.000611257,0.0008284654,0.0001367756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109713,"about_ca_system_score_gemma":0.0007786085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01587986,"about_ca_topic_score_gemma":0.02121765,"domain_scores_codex":[0.9998192,0.0000583018,0.00001324714,0.00004890363,0.00002995818,0.00003045864],"domain_scores_gemma":[0.9992896,0.0003115461,0.0002009445,0.00005150695,0.00009206245,0.00005419908],"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":[0.0004819709,0.0001232431,0.62188,0.0005101328,0.0006231533,0.000490889,0.003522618,0.1373912,0.002724741,0.1297774,0.005748639,0.09672609],"study_design_scores_gemma":[0.00005535334,0.0001478029,0.6509492,0.0003621112,0.0003169846,0.0003996787,0.006650117,0.1067456,0.001641956,0.1398736,0.09273974,0.0001177878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510005,0.01133981,0.006098045,0.01239207,0.0004062621,0.0000108485,0.001769008,0.00005062964,0.01693281],"genre_scores_gemma":[0.993495,0.004613281,0.0005743479,0.000156772,0.00009041561,0.000004203559,0.0002156924,0.00001520897,0.0008350283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01587986,"threshold_uncertainty_score":0.0315749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06868841708687298,"score_gpt":0.2675878551749953,"score_spread":0.1988994380881224,"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."}}