{"id":"W4402017025","doi":"10.5194/gmd-17-6365-2024","title":"Impact of ITCZ width on global climate: ITCZ-MIP","year":2024,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Climate Program Office; Directorate for Geosciences; Sight Research UK; Alfred P. Sloan Foundation; Natural Environment Research Council; Met Office; National Science Foundation","keywords":"Intertropical Convergence Zone; Climatology; Environmental science; Climate model; Tropics; Equator; Atmospheric sciences; Climate change; Meteorology; Geology; Geography; Precipitation; Oceanography; Latitude; Geodesy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008523543,0.0005018828,0.0003245293,0.0002534914,0.0002891462,0.0006531539,0.001083983,0.00034781,0.003621937],"category_scores_gemma":[0.002419402,0.0003204351,0.0005923373,0.0006293551,0.0003390709,0.0007137086,0.001137646,0.000899983,0.0002220983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004222309,"about_ca_system_score_gemma":0.0007864453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007772464,"about_ca_topic_score_gemma":0.006705588,"domain_scores_codex":[0.9996228,0.0001300556,0.00002349532,0.00009917167,0.00008125045,0.00004318695],"domain_scores_gemma":[0.9991648,0.0002389272,0.0001240189,0.0002277093,0.0001509492,0.00009368664],"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":[0.001880286,0.0005248391,0.1373817,0.0003724592,0.0007551984,0.0003022832,0.0001971399,0.7612745,0.04314989,0.01190794,0.007832421,0.03442136],"study_design_scores_gemma":[0.001301681,0.0009528986,0.1904381,0.0000883933,0.0005761838,0.0001649561,0.0003151645,0.7159163,0.06394316,0.008240962,0.0178714,0.0001908161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532629,0.0001050587,0.02311145,0.000451434,0.00008136304,0.0002210087,0.009862361,0.00107,0.01183438],"genre_scores_gemma":[0.9884045,0.00003603919,0.008457254,0.00008780375,0.000008809534,0.0001957225,0.002102034,0.0001748436,0.0005328991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007772464,"threshold_uncertainty_score":0.01545447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397820300466351,"score_gpt":0.2845036742102644,"score_spread":0.2605254712056009,"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."}}