{"id":"W4391606729","doi":"10.5194/gmd-2024-17","title":"Impact of ITCZ width on global climate: ITCZ-MIP","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Office of Science; Climate Program Office; Directorate for Geosciences; Sight Research UK; Alfred P. Sloan Foundation; Natural Environment Research Council; U.S. Department of Energy; Met Office; National Science Foundation","keywords":"Intertropical Convergence Zone; Climatology; Equator; Environmental science; Tropics; Climate model; Tropical climate; Atmospheric sciences; Climate change; Geology; Meteorology; Geography; Geodesy; Latitude; Oceanography; Precipitation","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":[0.0007931568,0.000453561,0.000340283,0.000212337,0.0003043047,0.0006531741,0.0009766346,0.0004117381,0.004083962],"category_scores_gemma":[0.002289273,0.0002986402,0.0004716707,0.000551195,0.000476557,0.0006656519,0.0009090339,0.0010802,0.0003029497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003598208,"about_ca_system_score_gemma":0.0005950295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005419644,"about_ca_topic_score_gemma":0.00433627,"domain_scores_codex":[0.9996738,0.0001224236,0.00001539719,0.00008779285,0.00006006574,0.00004054182],"domain_scores_gemma":[0.9990757,0.0003116169,0.0001092395,0.0002649783,0.0001296671,0.0001088249],"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":[0.001820256,0.0004082526,0.05609126,0.0003303387,0.0005008691,0.0002456083,0.0001658109,0.8647785,0.03343958,0.01407909,0.008920413,0.01922014],"study_design_scores_gemma":[0.001404091,0.0005968862,0.07772689,0.00006429561,0.0003112027,0.0001192482,0.0002259332,0.8364723,0.05566864,0.01269605,0.01454941,0.0001651924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553829,0.0001060029,0.01906415,0.0005820197,0.0001100532,0.0001212097,0.01185928,0.001308853,0.01146549],"genre_scores_gemma":[0.9880784,0.00003735024,0.007967048,0.0001076408,0.00001114036,0.0001383123,0.002824832,0.0002859244,0.0005491931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005419644,"threshold_uncertainty_score":0.01366222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483893995892574,"score_gpt":0.3174973112907601,"score_spread":0.2926583713318344,"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."}}