{"id":"W2130740562","doi":"10.5194/bg-12-4841-2015","title":"Multi-molecular tracers of terrestrial carbon transfer across the pan-Arctic: comparison of hydrolyzable components with plant wax lipids and lignin phenols","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Russian Academy of Sciences; Natural Environment Research Council; Fisheries and Oceans Canada; Eidgenössische Technische Hochschule Zürich; Nordisk Ministerråd; Knut och Alice Wallenbergs Stiftelse; Sight Research UK; National Oceanic and Atmospheric Administration; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Polarforskningssekretariatet; Woods Hole Oceanographic Institution; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Vetenskapsrådet; National Science Foundation","keywords":"Cutin; Suberin; Lignin; Chemistry; Phenols; Wax; Environmental chemistry; Context (archaeology); Botany; Organic matter; Arctic; Organic chemistry; Ecology; Geology; Biology; Biochemistry; Paleontology","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":[0.00022402,0.0004514115,0.0002161031,0.0008680769,0.0003920736,0.0005535289,0.0001176233,0.0002982208,0.0004461301],"category_scores_gemma":[0.0001715215,0.000144972,0.0001840866,0.0008904652,0.0001766457,0.0002593834,0.0002311035,0.0003117524,0.0001447049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003262342,"about_ca_system_score_gemma":0.0003719924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01333776,"about_ca_topic_score_gemma":0.01964465,"domain_scores_codex":[0.9998851,0.00001184199,0.000005439274,0.00004380472,0.00003700012,0.0000168617],"domain_scores_gemma":[0.9998529,0.00001853018,0.00004252224,0.000006811341,0.00005782499,0.0000213467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002060058,0.00003087228,0.09867815,0.0001175198,0.0001713257,0.00006463364,0.0001335838,0.0004092919,0.8920048,0.00009780568,0.00004579541,0.008040182],"study_design_scores_gemma":[0.000006920565,0.000181218,0.852904,0.00002239592,0.000140515,0.0001818593,0.0004638169,0.002828171,0.1411044,0.00008348476,0.002065804,0.00001733807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957364,0.0008787089,0.001796174,0.00001395793,0.000009422743,0.00001237345,0.0006646634,0.00002258292,0.0008657667],"genre_scores_gemma":[0.9935603,0.0009926552,0.003747873,0.0000408951,0.000009964451,0.00001973176,0.0007981474,0.0000183356,0.0008120051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01333776,"threshold_uncertainty_score":0.02652025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07841562433645656,"score_gpt":0.2809774776887332,"score_spread":0.2025618533522766,"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."}}