{"id":"W4414026120","doi":"10.5194/gmd-18-5699-2025","title":"flat10MIP: an emissions-driven experiment to diagnose the climate response to positive, zero and negative CO <sub>2</sub> emissions","year":2025,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; HORIZON EUROPE Framework Programme; HORIZON EUROPE European Research Council; Office of Science; Deutsche Forschungsgemeinschaft; Earth Sciences Division; U.S. Department of Energy; European Commission; Government of the United Kingdom; National Science Foundation; Norges Forskningsråd; Department for Business, Energy and Industrial Strategy, UK Government; Biological and Environmental Research; Department for Environment, Food and Rural Affairs, UK Government; National Aeronautics and Space Administration; Met Office; Deutsches Klimarechenzentrum; Australian Government","keywords":"Environmental science; Zero (linguistics); Climatology; Meteorology; Atmospheric sciences; Physics; Geology","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008123256,0.0003532215,0.0002336675,0.00004970418,0.001460495,0.0001507265,0.0005192896,0.00009472852,0.0001394177],"category_scores_gemma":[0.00008770342,0.00027383,0.00005134791,0.0005462198,0.0003265401,0.000204414,0.001380342,0.0001706436,0.0002140071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007414433,"about_ca_system_score_gemma":0.00009662939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005142899,"about_ca_topic_score_gemma":0.00005126516,"domain_scores_codex":[0.9970667,0.0001665785,0.0004332332,0.001038013,0.0005841448,0.0007113047],"domain_scores_gemma":[0.9985145,0.0001304558,0.00007763044,0.0006167745,0.00001487466,0.0006457997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005808097,0.0005012553,0.007003874,0.000009980643,0.00003573012,0.00002097307,0.02187709,0.3635709,0.5509977,0.0001158479,0.01187529,0.04341049],"study_design_scores_gemma":[0.001397745,0.0003046061,0.3042673,0.000355292,0.00006939283,0.00001572784,0.005267275,0.3207125,0.322163,0.0008109924,0.04283469,0.001801433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914727,0.00001805687,0.08197963,0.00121422,0.0002056301,0.0009691069,0.0000381154,0.00005787083,0.0007903043],"genre_scores_gemma":[0.9273778,0.00004064833,0.06454156,0.002071933,0.000006868521,0.0003876122,0.00002856989,0.00003017561,0.005514906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2972635,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008999939013686807,"score_gpt":0.2446525083238552,"score_spread":0.2356525693101684,"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."}}