{"id":"W1728416098","doi":"10.1175/jcli-d-14-00500.1","title":"Quantifying the Limits of a Linear Temperature Response to Cumulative CO2 Emissions","year":2015,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Ouranos","funders":"","keywords":"Environmental science; Climate change; Greenhouse gas; Range (aeronautics); Magnitude (astronomy); Constant (computer programming); Atmospheric sciences; Climatology; Climate model; Cumulative effects; Meteorology; Physics; Geology; Materials science","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":[0.001201191,0.0002695126,0.0003518556,0.000242795,0.0002352883,0.0007860939,0.0006042142,0.0006657882,0.0006711883],"category_scores_gemma":[0.003778268,0.0002238772,0.0005316252,0.0003207933,0.0005805384,0.000694414,0.0005269744,0.0005606757,0.0001314296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008195985,"about_ca_system_score_gemma":0.0004065638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0172358,"about_ca_topic_score_gemma":0.006766578,"domain_scores_codex":[0.9994824,0.0001357936,0.00002080105,0.0001836878,0.0001007296,0.00007652057],"domain_scores_gemma":[0.9984321,0.0009902384,0.0001511311,0.000239341,0.0001443834,0.00004282371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004828876,0.00008750309,0.05659069,0.000162618,0.0001921034,0.00009541412,0.0001158525,0.8660119,0.06197,0.003090564,0.0003518384,0.01084858],"study_design_scores_gemma":[0.00002563949,0.0002160245,0.08721697,0.00002220204,0.00006219208,0.00004617146,0.00009765964,0.8796871,0.02805926,0.003125462,0.001380129,0.00006124985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651493,0.0002795574,0.02921762,0.000123995,0.00001566323,0.00002243435,0.000542255,0.0001651713,0.00448398],"genre_scores_gemma":[0.9990219,0.00002179987,0.000751178,0.00001062271,0.000001138571,0.000007149071,0.0001059042,0.000009205118,0.00007099815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0172358,"threshold_uncertainty_score":0.03427094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0424648919362916,"score_gpt":0.3144853031501577,"score_spread":0.2720204112138661,"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."}}