{"id":"W2941465543","doi":"10.1017/rdc.2019.14","title":"The Preparation of Water (DIC, DOC) and Gas (CO<sub>2</sub>, CH<sub>4</sub>) Samples for Radiocarbon Analysis at AEL-AMS, Ottawa, Canada","year":2019,"lang":"en","type":"article","venue":"Radiocarbon","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada); University of Ottawa","funders":"","keywords":"Dissolved organic carbon; Extraction (chemistry); Radiocarbon dating; Accelerator mass spectrometry; Carbon fibers; Chemistry; Environmental chemistry; Analytical Chemistry (journal); Materials science; Geology; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008168436,0.0007596835,0.0004811346,0.001290186,0.001828467,0.0008317616,0.0008784613,0.0004718364,0.01030716],"category_scores_gemma":[0.0009427036,0.0005485582,0.0003014584,0.0008429294,0.0007658894,0.0004191316,0.0005826526,0.0007478052,0.003394232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002787036,"about_ca_system_score_gemma":0.006284921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.114783,"about_ca_topic_score_gemma":0.3461979,"domain_scores_codex":[0.9994326,0.0000274797,0.00003445688,0.0001208377,0.000319526,0.00006508481],"domain_scores_gemma":[0.9994171,0.00004207941,0.00003944021,0.00005489226,0.0004015546,0.00004509917],"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":[0.0001331109,0.00002507448,0.002745406,0.0002172037,0.00002192528,0.0001264915,0.00009305077,0.0005902853,0.9697294,0.0005255201,0.003422629,0.02237],"study_design_scores_gemma":[0.00004398011,0.0001465445,0.02416311,0.00004842428,0.00004364218,0.0002286425,0.0001733322,0.002144094,0.9011441,0.0003202405,0.07149067,0.00005335747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4934149,0.002428449,0.3721399,0.0009485538,0.0006643898,0.006505562,0.05452167,0.006710367,0.06266626],"genre_scores_gemma":[0.3573816,0.003176311,0.5329717,0.001001511,0.0001116674,0.003876508,0.02658909,0.001618594,0.07327294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.885217,"threshold_uncertainty_score":0.2282298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005695026130070568,"score_gpt":0.2030882071896929,"score_spread":0.1973931810596224,"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."}}