{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000756928,0.0003310189,0.0005153041,0.00008496029,0.0002853333,0.00005124587,0.0002921366,0.0001680362,0.00008245389],"category_scores_gemma":[0.00002858196,0.000214044,0.0001912948,0.0003650881,0.0002159659,0.0001319789,0.0001226231,0.0001729388,0.00002804395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004897391,"about_ca_system_score_gemma":0.00005284965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03140884,"about_ca_topic_score_gemma":0.1052955,"domain_scores_codex":[0.9974053,0.0001749416,0.0005813701,0.000648357,0.0005615734,0.000628467],"domain_scores_gemma":[0.9986045,0.000267622,0.0002602898,0.0006447593,0.00002019304,0.0002026332],"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":[0.0001833815,0.00003884207,0.03045819,0.0000458127,0.0005527235,0.000003434349,0.0005437477,0.01195957,0.951353,0.00008824978,0.00159625,0.003176771],"study_design_scores_gemma":[0.001033814,0.000274657,0.02391842,0.00002146685,0.0006293871,0.00001352862,0.00008174635,0.03038223,0.9314267,0.0005051682,0.0111968,0.0005160655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954972,0.0009535369,0.00005970737,0.0003270356,0.0002882576,0.0008498296,0.00003796486,0.00002577218,0.001960648],"genre_scores_gemma":[0.9984962,0.0008008232,0.00006762728,0.00009974001,0.00007409487,0.00005796949,0.0001253324,0.00003825328,0.0002399134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07388668,"threshold_uncertainty_score":0.9750411,"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."}}