{"id":"W2167896229","doi":"10.5194/os-6-789-2010","title":"Modeling the Nd isotopic composition in the North Atlantic basin using an eddy-permitting model","year":2010,"lang":"en","type":"article","venue":"Ocean science","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique","keywords":"Geology; Radiogenic nuclide; Water mass; Continental margin; North Atlantic Deep Water; Continental shelf; Oceanography; Seawater; Oceanic basin; Structural basin; Thermohaline circulation; Geophysics; Paleontology; Tectonics; Mantle (geology)","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":[],"consensus_categories":[],"category_scores_codex":[0.001020495,0.00008149275,0.00007126066,0.00004764679,0.0008206051,0.0002040779,0.0006718457,0.0000203187,0.00007097821],"category_scores_gemma":[0.00002213535,0.000045903,0.00002998526,0.0006019662,0.0002204041,0.0004631902,0.0000192133,0.0002130054,0.000007348763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003780107,"about_ca_system_score_gemma":0.00005999634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002628146,"about_ca_topic_score_gemma":0.004772485,"domain_scores_codex":[0.9989225,0.00003723789,0.0001517962,0.0002462488,0.0003614992,0.0002807722],"domain_scores_gemma":[0.9995835,0.00003317698,0.00003873779,0.0002545169,0.00003139839,0.00005870399],"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":[0.00000178394,0.00001150223,0.4071434,0.00000212694,7.664585e-7,0.000001929217,0.0005791094,0.5893924,0.002267091,0.00001557584,0.00000298371,0.000581253],"study_design_scores_gemma":[0.00004110892,0.000007699105,0.0440356,0.000004906589,0.000008041716,0.0000277024,0.0006081752,0.9547193,0.0002129559,0.0002603909,0.000002943797,0.00007119007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998407,0.000008928857,0.0006880446,0.0002525428,0.0000553546,0.00006787978,0.000005215071,0.000008869373,0.0005061605],"genre_scores_gemma":[0.9985216,0.000001809042,0.001069745,0.0003120463,0.00006332625,1.210581e-7,0.00002200326,0.000001020611,0.000008390642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3653269,"threshold_uncertainty_score":0.6311514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433907209189952,"score_gpt":0.2368034447974982,"score_spread":0.2124643727055987,"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."}}