{"id":"W4407343186","doi":"10.1017/eds.2024.56","title":"Unsupervised clustering identifies thermohaline staircases in the Canada Basin of the Arctic Ocean – CORRIGENDUM","year":2025,"lang":"en","type":"erratum","venue":"Environmental Data Science","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Thermohaline circulation; The arctic; Oceanography; Cluster analysis; Structural basin; Geology; Computer science; Artificial intelligence; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001499832,0.0003724741,0.0003456672,0.00007407668,0.0005225007,0.00009647135,0.006799869,0.0001316018,0.00188722],"category_scores_gemma":[0.0001432128,0.000217068,0.00006710069,0.0009694506,0.002118825,0.0005050621,0.004782547,0.0008739313,0.00002283654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008207709,"about_ca_system_score_gemma":0.0004328872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.307227,"about_ca_topic_score_gemma":0.2840707,"domain_scores_codex":[0.9957277,0.0002870396,0.0005810968,0.00101495,0.001789883,0.000599312],"domain_scores_gemma":[0.9966956,0.0001320969,0.0003197436,0.002757321,0.000003328716,0.00009189999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004355648,0.0005278765,0.03684125,0.000309028,0.0000745877,0.0001137244,0.002300177,0.005445709,0.007920649,0.00003907636,0.9419342,0.004450116],"study_design_scores_gemma":[0.0008560306,0.0001103101,0.5002272,0.0009590648,0.0002628475,0.00007948529,0.006459856,0.02241726,0.001482157,0.0002896794,0.4654334,0.001422711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7616015,0.007348194,0.00008838547,0.006434164,0.07749918,0.006309463,0.02073579,0.00007147188,0.1199118],"genre_scores_gemma":[0.9514124,0.0008602122,0.00006201592,0.001036039,0.0001069839,0.00001026203,0.0007229768,0.00002777879,0.0457613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4765008,"threshold_uncertainty_score":0.9990252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941260557488577,"score_gpt":0.2225008684301353,"score_spread":0.2030882628552495,"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."}}