{"id":"W2044127701","doi":"10.1021/ac001447t","title":"On-Line High-Precision Stable Hydrogen Isotopic Analyses on Nanoliter Water Samples","year":2001,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; University of Saskatchewan","keywords":"Chemistry; Hydrogen; Isotope; Analytical Chemistry (journal); Stable isotope ratio; Pyrolysis; Chromium; Carbon fibers; Line (geometry); Volume (thermodynamics); Isotopes of carbon; Mass spectrometry; Accuracy and precision; Environmental chemistry; Chromatography; Total organic carbon","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000253562,0.0002531842,0.0003467029,0.00004251196,0.0001350316,0.00003079333,0.0004391508,0.0001857734,0.04903185],"category_scores_gemma":[0.0001589014,0.0001754448,0.0001867008,0.0002856826,0.0002016604,0.00009708271,0.0002617166,0.0002423794,0.004081578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343805,"about_ca_system_score_gemma":0.000007127405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002255952,"about_ca_topic_score_gemma":0.00003542761,"domain_scores_codex":[0.9979669,0.0000559445,0.0003687212,0.0005556964,0.0004691534,0.000583595],"domain_scores_gemma":[0.9987942,0.0002364275,0.00005295179,0.0007150936,0.00001591232,0.0001853873],"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":[0.0007122463,0.002338932,0.08661664,0.0000478999,0.0008016133,0.0004890767,0.000221405,0.1158373,0.7578602,0.0004499327,0.02930927,0.005315465],"study_design_scores_gemma":[0.0006896053,0.0002237677,0.003727303,0.00002126129,0.0003029305,0.00002346746,0.00003737425,0.01424746,0.9442112,0.005728457,0.03021402,0.0005730816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552018,0.00001019662,0.0003039836,0.0005276398,0.00002744114,0.0000692035,0.000006741361,0.00004345893,0.04380956],"genre_scores_gemma":[0.9799237,0.0000309361,0.0001600513,0.001143947,0.00009848994,0.000009105909,0.00006712207,0.00002077391,0.01854582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.186351,"threshold_uncertainty_score":0.9966938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03403741519984532,"score_gpt":0.298539246646561,"score_spread":0.2645018314467157,"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."}}