{"id":"W4408435820","doi":"10.5194/egusphere-egu25-7389","title":"Cluster analysis can identify differences in earthquake swarm patterns along the Mid-Atlantic Ridge","year":2025,"lang":"en","type":"preprint","venue":"","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ridge; Mid-Atlantic Ridge; Seismology; Cluster (spacecraft); Geology; Swarm behaviour; Geography; Computer science; Paleontology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021236,0.0003647439,0.0004725028,0.006727309,0.0007092556,0.001425879,0.000528696,0.000391364,0.002363213],"category_scores_gemma":[0.003736443,0.0001502837,0.0007959555,0.004889907,0.0002891077,0.000552648,0.0008521212,0.0002947988,0.0007063558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005868993,"about_ca_system_score_gemma":0.0007455183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667913,"about_ca_topic_score_gemma":0.02244137,"domain_scores_codex":[0.9991747,0.00008983857,0.0001178704,0.000305382,0.000209461,0.0001026323],"domain_scores_gemma":[0.9972549,0.0009002446,0.0005862477,0.0002838842,0.000789993,0.0001847645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008290511,0.0003627131,0.6105638,0.0005471056,0.001023368,0.0008236158,0.003998687,0.01503531,0.03092231,0.003754614,0.01831993,0.3138194],"study_design_scores_gemma":[0.00004265217,0.0001732451,0.914981,0.00008373002,0.0002064182,0.0003179038,0.003304511,0.06203854,0.004535282,0.002615638,0.01161094,0.00009010437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916966,0.0007501417,0.05823354,0.0004202638,0.00008840579,0.000395384,0.009877773,0.002206323,0.0110623],"genre_scores_gemma":[0.9409098,0.0003180164,0.04615926,0.00005656605,0.00004110443,0.0002277241,0.009956168,0.0001593,0.002172037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01667913,"threshold_uncertainty_score":0.03316408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831976261029442,"score_gpt":0.2539777602180305,"score_spread":0.2256579976077361,"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."}}