{"id":"W2763066587","doi":"10.1594/pangaea.711314","title":"(Table 1) Clay mineralogical assemblages, Sm-Nd concentrations, Sm and Nd isotopic ratios reported in regard with the oxygen isotope ratios, the corresponding OIS number and the estimated age model of ODP Site 105-646","year":2006,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Isotopes of oxygen; Table (database); Mineralogy; Isotope; Geology; Chemistry; Geochemistry; Physics; Database; Nuclear physics","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":[0.0006130846,0.001458159,0.0009769803,0.004111204,0.0004310119,0.001243263,0.001411093,0.0009154293,0.06276519],"category_scores_gemma":[0.003340093,0.0005083222,0.0006690201,0.007822181,0.000272179,0.0008134395,0.001327926,0.001283492,0.06630567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392174,"about_ca_system_score_gemma":0.001537547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02785368,"about_ca_topic_score_gemma":0.04153605,"domain_scores_codex":[0.9993134,0.00005783184,0.0001175327,0.0001954665,0.0002073654,0.000108375],"domain_scores_gemma":[0.9982544,0.0002904788,0.0003395901,0.0002737264,0.0007053644,0.0001365065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007484547,0.00004043525,0.005249818,0.001121477,0.00004859612,0.0000348849,0.00003454068,0.0004125635,0.0003602896,0.0003159059,0.987272,0.00503485],"study_design_scores_gemma":[0.0003289691,0.00002694303,0.03822349,0.000262129,0.00002721472,0.00008725247,0.0001257794,0.0002646224,0.0005288144,0.0004388891,0.959662,0.00002389931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001930065,0.0000130437,0.00001847351,0.00001243827,0.000004939647,0.00000721396,0.9994293,0.00005568541,0.000265859],"genre_scores_gemma":[0.0005327262,0.00002639533,0.0001487444,0.00001346195,0.000003201063,0.00004971344,0.9987245,0.00001820987,0.0004830757],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06276519,"threshold_uncertainty_score":0.2099705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05735018907524434,"score_gpt":0.2732624931033147,"score_spread":0.2159123040280704,"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."}}