{"id":"W2060897833","doi":"10.1111/j.1751-908x.2009.00017.x","title":"Effective Correction of Mass Bias for Rhenium Measurements by MC‐ICP‐MS","year":2009,"lang":"en","type":"article","venue":"Geostandards and Geoanalytical Research","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Rhenium; Fractionation; Tungsten; Isotope; Chemistry; Analytical Chemistry (journal); Mass spectrometry; Matrix (chemical analysis); Equilibrium fractionation; Consistency (knowledge bases); Isotope fractionation; Sample preparation; Inductively coupled plasma mass spectrometry; Radiochemistry; Chromatography; Inorganic chemistry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003207925,0.001246152,0.001051116,0.001419335,0.0006587094,0.0009906023,0.001854423,0.0008763795,0.002427784],"category_scores_gemma":[0.008588766,0.0009328422,0.0004284118,0.001282131,0.0006772539,0.0009201426,0.0008444943,0.001155051,0.001225817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010343,"about_ca_system_score_gemma":0.001087865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200965,"about_ca_topic_score_gemma":0.005747957,"domain_scores_codex":[0.9946189,0.0005282538,0.0002405143,0.001088219,0.003312763,0.000211326],"domain_scores_gemma":[0.9976063,0.0007755842,0.0001760956,0.0004965787,0.0009227188,0.00002271167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001665912,0.00003762055,0.003423077,0.0002460546,0.00009862392,0.00008756598,0.000153447,0.0008857774,0.9408716,0.001019602,0.0009158196,0.05209426],"study_design_scores_gemma":[0.0000111727,0.0000699032,0.005310556,0.00001796223,0.00005914079,0.0001983627,0.00004183408,0.01027271,0.9747183,0.0006056248,0.008665302,0.00002917088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2707086,0.004086046,0.7104527,0.0004095342,0.000867663,0.0004567447,0.0010553,0.005204856,0.006758543],"genre_scores_gemma":[0.4562507,0.00210498,0.5326497,0.0003755278,0.00008680638,0.000450431,0.0007433821,0.00134691,0.005991517],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003207925,"threshold_uncertainty_score":0.01696533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08017263318178829,"score_gpt":0.3958050714357387,"score_spread":0.3156324382539504,"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."}}