{"id":"W2943976458","doi":"10.1111/ggr.12269","title":"High‐Precision Measurement of <sup>187</sup>Os/<sup>188</sup>Os Isotope Ratios of Nanogram to Picogram Amounts of Os in Geological Samples by N‐<scp>TIMS</scp> using Faraday Cups Equipped with 10<sup>13</sup> Ω Amplifiers","year":2019,"lang":"en","type":"article","venue":"Geostandards and Geoanalytical Research","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Repeatability; Analytical Chemistry (journal); Mass fraction; Chemistry; Isotope; Fraction (chemistry); Homogeneous; Radiochemistry; Chromatography; Physics; Nuclear physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005609863,0.0005655783,0.001377346,0.0005819426,0.0002801097,0.0002441559,0.0008557879,0.0004332628,0.002269253],"category_scores_gemma":[0.001871384,0.0004128255,0.0002287964,0.001557989,0.0009959893,0.0003685324,0.0003117502,0.0008231759,0.00005097067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001111571,"about_ca_system_score_gemma":0.0006307527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008352578,"about_ca_topic_score_gemma":0.0006842139,"domain_scores_codex":[0.9910048,0.0006531482,0.001356032,0.001197355,0.004048449,0.001740235],"domain_scores_gemma":[0.9953439,0.001304269,0.0002216996,0.0008693902,0.001474458,0.0007862492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00276632,0.0006830319,0.8740177,0.0008338445,0.0004036262,0.00005751901,0.001845579,0.08729057,0.004864225,0.0002311481,0.002502497,0.02450399],"study_design_scores_gemma":[0.01924949,0.02129524,0.3024122,0.003144337,0.0006261602,0.000134047,0.02188411,0.5313339,0.04256414,0.006254206,0.04860096,0.002501248],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926948,0.0006204415,0.002241992,0.0001975624,0.00002523644,0.001569772,0.00105975,0.00002568265,0.00156476],"genre_scores_gemma":[0.9972379,0.0001162471,0.001645158,0.00005844259,0.00005971303,0.0000182272,0.0002546253,0.00002292058,0.0005867793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5716054,"threshold_uncertainty_score":0.9998323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04407729589175769,"score_gpt":0.2956677603951676,"score_spread":0.2515904645034099,"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."}}