{"id":"W4416397988","doi":"10.5194/essd-17-6255-2025","title":"High resolution continuous flow analysis impurity data from the Mount Brown South ice core, East Antarctica","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Horizon 2020; Australian Research Council; Novo Nordisk Fonden; Danmarks Frie Forskningsfond; Villum Fonden","keywords":"Ice core; Meltwater; Snow; High resolution; Resolution (logic); Core (optical fiber); Sea ice; Salinity","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":[0.0005016068,0.0004199326,0.000359994,0.001589068,0.0005967176,0.0007325997,0.0005859212,0.0004757128,0.002245385],"category_scores_gemma":[0.001011282,0.0001513663,0.0004693213,0.002290371,0.0002904548,0.0003913396,0.0005942672,0.000508165,0.001504577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007338655,"about_ca_system_score_gemma":0.001367147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09130127,"about_ca_topic_score_gemma":0.1291194,"domain_scores_codex":[0.9997079,0.00002566752,0.00002279385,0.00005898753,0.0001371533,0.00004753198],"domain_scores_gemma":[0.9991288,0.00006451283,0.0001034776,0.0001535088,0.0004440112,0.0001056716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001503519,0.0007130308,0.6362544,0.0009079095,0.0008137858,0.00109288,0.001286102,0.02412495,0.02867722,0.001784206,0.2122545,0.09058759],"study_design_scores_gemma":[0.0001650906,0.00008088612,0.8953201,0.0001266409,0.0000873542,0.0001194324,0.0003973769,0.009208576,0.004570898,0.0002920395,0.08956407,0.00006749715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6312323,0.0007291036,0.001742448,0.0003912504,0.0001154823,0.000149934,0.3558514,0.000742976,0.009045089],"genre_scores_gemma":[0.4173632,0.0004583973,0.009647029,0.0002472361,0.0001428933,0.0003231586,0.5667613,0.0002462473,0.004810549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09130127,"threshold_uncertainty_score":0.1815397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06105795765590828,"score_gpt":0.2603023076858296,"score_spread":0.1992443500299214,"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."}}