{"id":"W3001504003","doi":"10.5194/cp-17-37-2021","title":"A multi-model CMIP6-PMIP4 study of Arctic sea ice at 127 ka: sea ice data compilation and model differences","year":2021,"lang":"en","type":"article","venue":"Climate of the past","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université du Québec à Montréal","funders":"Horizon 2020; Fonds de recherche du Québec – Nature et technologies; Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; Australian Research Council; Sight Research UK; National Oceanic and Atmospheric Administration; Agence Nationale de la Recherche","keywords":"Sea ice; Climatology; Cryosphere; Arctic; Arctic ice pack; Climate model; Interglacial; Geology; Paleoclimatology; Oceanography; Arctic sea ice decline; Climate change; Antarctic sea ice; Environmental science; Glacial period","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004965933,0.00013436,0.0003169671,0.00004864552,0.0003240794,0.00001768003,0.000582846,0.00009138879,0.0001494087],"category_scores_gemma":[0.0001028757,0.00009347988,0.00003550139,0.000178414,0.0003485825,0.0001461687,0.0004154201,0.000209858,0.00002668053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001589282,"about_ca_system_score_gemma":0.00005608749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002458663,"about_ca_topic_score_gemma":0.01797591,"domain_scores_codex":[0.9984525,0.0003234194,0.0002894952,0.0003751985,0.0002505675,0.0003088452],"domain_scores_gemma":[0.9985918,0.0003865872,0.000160005,0.0006771696,0.0001104377,0.0000739739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009020855,0.0001571828,0.9838136,0.0001588856,0.00004668055,0.000005161036,0.0007631289,0.01478906,0.00007128191,0.00001073863,0.00004119827,0.00005291897],"study_design_scores_gemma":[0.0003513758,0.00004441554,0.5463868,0.00001895556,0.00004304203,0.00001646307,0.0004357878,0.4525429,0.00001915648,0.00008589325,0.000001512807,0.00005370993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968764,0.0004362113,0.00006225995,0.0004536354,0.00009313417,0.0002317384,0.001020254,0.0000103591,0.0008159927],"genre_scores_gemma":[0.9984204,0.0001913967,0.0007811819,0.00004608573,0.00001150011,0.000001620741,0.0003460623,0.000003257117,0.0001985589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4377539,"threshold_uncertainty_score":0.9999435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0947762135948803,"score_gpt":0.2998717715627814,"score_spread":0.2050955579679011,"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."}}