{"id":"W4392885539","doi":"10.1093/oxfclm/kgae009","title":"Identifying when thresholds from the Paris Agreement are breached: the minmax average, a novel smoothing approach","year":2024,"lang":"en","type":"article","venue":"Oxford Open Climate Change","topic":"EU Law and Policy Analysis","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smoothing; Minimax; Statistics; Mathematics; Econometrics; Combinatorics; Mathematical economics","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":[0.01624109,0.000623593,0.001023845,0.00324626,0.001672506,0.005219563,0.001903565,0.001787339,0.003707128],"category_scores_gemma":[0.0556986,0.0004085217,0.0008559998,0.002846186,0.00278915,0.004906004,0.00273254,0.002703316,0.000589488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002213872,"about_ca_system_score_gemma":0.002274447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006713262,"about_ca_topic_score_gemma":0.006494971,"domain_scores_codex":[0.9914482,0.00399029,0.0005771213,0.002204809,0.001325619,0.0004540169],"domain_scores_gemma":[0.9703079,0.01933884,0.004490853,0.002824139,0.002562216,0.0004760034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004154458,0.00009775503,0.06986345,0.0003980964,0.000469737,0.0005644413,0.003814469,0.0934137,0.002263598,0.4659718,0.0174744,0.3452531],"study_design_scores_gemma":[0.00002487952,0.000162595,0.03380888,0.0003248175,0.0001521653,0.0002878885,0.002573894,0.3672511,0.004695738,0.562258,0.0282558,0.0002042331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1006669,0.001057803,0.8766103,0.00471829,0.0003331881,0.00007155324,0.0005518228,0.0007233369,0.01526677],"genre_scores_gemma":[0.8541822,0.0004613668,0.1396977,0.0006767273,0.0004469494,0.0001421803,0.0004562555,0.0002720385,0.003664665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01624109,"threshold_uncertainty_score":0.08589214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2194225397072362,"score_gpt":0.3862009251827889,"score_spread":0.1667783854755527,"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."}}