{"id":"W2142103147","doi":"10.1038/srep06403","title":"Origin of cold bias over the Arabian Sea in Climate Models","year":2014,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Climate variability and models","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Climatology; Coupled model intercomparison project; Subtropics; Sea surface temperature; Geology; Monsoon; Precipitation; Zonal and meridional; Boreal; Temperate climate; Oceanography; Troposphere; Atmospheric sciences; Subsidence; Climate model; Environmental science; Climate change; Structural basin; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005141823,0.0001092438,0.0001718265,0.00005413805,0.0001743078,0.00008644073,0.0002266474,0.00005723179,0.0005317247],"category_scores_gemma":[0.000122868,0.0000762322,0.00007573771,0.000513489,0.0005448958,0.0002875385,0.0002325842,0.0001051175,0.00005436944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008454404,"about_ca_system_score_gemma":0.00002303388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008021257,"about_ca_topic_score_gemma":0.001004946,"domain_scores_codex":[0.9978946,0.0001073344,0.0005230627,0.0005801431,0.0005421487,0.0003526379],"domain_scores_gemma":[0.998544,0.00009053206,0.0002334417,0.001041886,0.00001389041,0.00007623529],"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":[0.00001772503,0.0003814474,0.7197779,0.0000586091,0.000007249887,0.00004377194,0.001891835,0.2269165,0.03055106,0.01066307,0.008329661,0.001361207],"study_design_scores_gemma":[0.000553265,0.0000776165,0.1070152,0.0001207308,0.00003761059,0.0000719156,0.0001612355,0.528021,0.01440332,0.2017445,0.1471365,0.0006570642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764514,0.000007952279,0.0002470238,0.0001400585,0.001140227,0.0002801795,0.000004537721,0.00002163398,0.02170702],"genre_scores_gemma":[0.9989653,0.000004615564,0.0002320877,0.00006923304,0.00001257067,0.00001578696,0.000006887751,0.000008158923,0.0006853992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6127626,"threshold_uncertainty_score":0.5822012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03915503102783708,"score_gpt":0.2556897647200189,"score_spread":0.2165347336921818,"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."}}