{"id":"W4392589227","doi":"10.5194/egusphere-egu24-1036","title":"Exploring Noise-induced and CO2-driven AMOC collapses in the PlaSIM-LSG climate model with a Rare Event Algorithm.","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Noise (video); Algorithm; Climate model; Rare events; Computer science; Environmental science; Physics; Climate change; Geology; Artificial intelligence; Mathematics; Oceanography; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003928118,0.000416877,0.0004407064,0.0003125092,0.0003809152,0.0004822778,0.0008735649,0.0008401149,0.001117032],"category_scores_gemma":[0.001924427,0.000218141,0.0004918001,0.0002222207,0.0004053304,0.0003573844,0.000896405,0.0007075682,0.0001114767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004766526,"about_ca_system_score_gemma":0.0008048111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202602,"about_ca_topic_score_gemma":0.009939201,"domain_scores_codex":[0.9999399,0.00002261402,0.000002312678,0.00001178673,0.00001105861,0.00001227027],"domain_scores_gemma":[0.9995364,0.0002871,0.00005324173,0.00002828699,0.00003680512,0.00005819133],"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":[0.00004383532,0.00002539405,0.002029496,0.00001604484,0.00002427789,0.00005047286,0.00002580418,0.9922253,0.0005539531,0.001862315,0.0002236594,0.00291948],"study_design_scores_gemma":[0.00000601568,0.000005046967,0.00009499834,9.660419e-7,0.000001548083,0.000002572522,0.000002767974,0.9994574,0.00008247641,0.0002972246,0.00004795755,9.983645e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7657707,0.0003131678,0.223305,0.0008974333,0.00008549455,0.0001144622,0.0004806868,0.001100495,0.007932464],"genre_scores_gemma":[0.9430216,0.00006643025,0.0552728,0.0001113848,0.00001890996,0.0001084501,0.0003613664,0.00008361218,0.0009555858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01202602,"threshold_uncertainty_score":0.02391201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108556063054308,"score_gpt":0.2841995108058648,"score_spread":0.1756434477515568,"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."}}