{"id":"W2802609625","doi":"10.1002/2018ef000813","title":"Risks from Climate Extremes Change Differently from 1.5°C to 2.0°C Depending on Rarity","year":2018,"lang":"en","type":"article","venue":"Earth s Future","topic":"Climate variability and models","field":"Environmental Science","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"U.S. Department of Energy","keywords":"Climate change; Global warming; Environmental science; Climatology; Precipitation; Climate extremes; Extreme weather; Global temperature; Effects of global warming; Atmospheric sciences; Geography; Meteorology; Ecology; Biology","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":[0.0007890696,0.0003168073,0.0002632331,0.0004678014,0.0002802941,0.001344105,0.0003808872,0.0006006763,0.004046086],"category_scores_gemma":[0.002905678,0.0001838368,0.0007869325,0.0004429458,0.0005782157,0.001014166,0.0008555236,0.001010151,0.0003684558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005237599,"about_ca_system_score_gemma":0.0002316734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003079744,"about_ca_topic_score_gemma":0.003343035,"domain_scores_codex":[0.9996076,0.0001213271,0.00001705171,0.00008368241,0.00006003244,0.0001102788],"domain_scores_gemma":[0.9987679,0.0005327649,0.0003720303,0.0001159813,0.0001204691,0.00009085127],"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":[0.0008189976,0.0001789887,0.5226927,0.0001491918,0.0007472705,0.0006676516,0.0006795552,0.3764314,0.01610869,0.0527832,0.005084756,0.02365771],"study_design_scores_gemma":[0.00005384269,0.0004595499,0.7345528,0.00008182361,0.000274636,0.0006750808,0.001249506,0.1843616,0.004149229,0.0657041,0.008300647,0.0001371038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796413,0.0002210919,0.005443154,0.0006570946,0.00003817458,0.0000169862,0.0007944414,0.00005840256,0.01312932],"genre_scores_gemma":[0.9987602,0.0000647945,0.0004122497,0.0000554213,0.00001004018,0.000006749302,0.0001936544,0.000007528801,0.0004892929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004046086,"threshold_uncertainty_score":0.0135355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07579243300617115,"score_gpt":0.2853482855728419,"score_spread":0.2095558525666707,"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."}}