{"id":"W2522245011","doi":"10.1175/jcli-d-16-0440.1","title":"Tropical Pacific SST Drivers of Recent Antarctic Sea Ice Trends","year":2016,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Teleconnection; Sea ice; Pacific decadal oscillation; Arctic ice pack; Sea surface temperature; Sea ice concentration; Environmental science; Oceanography; Antarctic sea ice; Geology; Latitude; Climate change; Lead (geology); El Niño Southern Oscillation; Sea ice thickness","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":[0.0003213998,0.0002964895,0.0002062291,0.0003979719,0.0002641265,0.0009074623,0.0001996315,0.0002648543,0.002461028],"category_scores_gemma":[0.000733897,0.0002268259,0.0005806307,0.0006949953,0.0002744335,0.000416423,0.0004766606,0.0003229454,0.0002039068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007427294,"about_ca_system_score_gemma":0.0006502062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04179574,"about_ca_topic_score_gemma":0.03874482,"domain_scores_codex":[0.999944,0.00001136073,0.000005938513,0.00001682206,0.000007867206,0.00001406509],"domain_scores_gemma":[0.9997827,0.00004878675,0.00006870756,0.00001796177,0.00003779937,0.00004411114],"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":[0.0001576643,0.00005729225,0.9311894,0.00006294165,0.0003302029,0.0002134642,0.0001877867,0.05512886,0.004409379,0.001412363,0.001433296,0.00541718],"study_design_scores_gemma":[0.00003270286,0.00004985664,0.947857,0.00002092444,0.00007414859,0.0000630547,0.0002441655,0.0488479,0.0005959749,0.0006711233,0.001526245,0.0000169355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972295,0.0001141098,0.0001659783,0.0002106143,0.00001079434,0.000003220751,0.0006463609,0.00002137351,0.001598121],"genre_scores_gemma":[0.9994304,0.000102721,0.00004173956,0.00001124021,0.000006297274,0.00000230662,0.0002736075,0.00000564111,0.0001260695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04179574,"threshold_uncertainty_score":0.08310491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118380281506073,"score_gpt":0.2594000592089649,"score_spread":0.2382162563939041,"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."}}