{"id":"W2613290103","doi":"10.1002/2016pa003072","title":"Calibration of the carbon isotope composition (δ<sup>13</sup>C) of benthic foraminifera","year":2017,"lang":"en","type":"article","venue":"Paleoceanography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; National Oceanic and Atmospheric Administration; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Foraminifera; Benthic zone; Seawater; Oceanography; Carbonate; Isotopes of carbon; Geology; Carbon cycle; Carbon fibers; Water column; Total organic carbon; Environmental science; Chemistry; Environmental chemistry; Ecology; Ecosystem; Biology","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":[0.000823589,0.0006852226,0.0002771272,0.0009294628,0.0003516104,0.0005163707,0.0004310973,0.0003785634,0.0003898437],"category_scores_gemma":[0.001447299,0.0002358476,0.0001978368,0.001002777,0.0003369591,0.0002654504,0.0004253405,0.0002788872,0.0002025027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007269121,"about_ca_system_score_gemma":0.0003554019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035682,"about_ca_topic_score_gemma":0.01599685,"domain_scores_codex":[0.999544,0.00006534901,0.00003237242,0.0001842889,0.0001430036,0.00003095704],"domain_scores_gemma":[0.9993912,0.00007676552,0.0001386447,0.0001188265,0.0002419979,0.00003261412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001923294,0.00003345491,0.844461,0.00007219469,0.0001422195,0.00006295635,0.0001111784,0.0106112,0.09402025,0.0002003963,0.0002933335,0.04979949],"study_design_scores_gemma":[0.00001267585,0.0001045982,0.907972,0.0000282746,0.00006477061,0.0001598863,0.0001077933,0.01972065,0.06860387,0.000248299,0.00294217,0.00003495759],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846667,0.0007215694,0.01169751,0.00002916899,0.00003111256,0.00002620493,0.0006106903,0.000100698,0.002116346],"genre_scores_gemma":[0.9931786,0.0001804802,0.005786171,0.00001865182,0.000004852528,0.00001985149,0.0006066001,0.00001867729,0.0001860741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035682,"threshold_uncertainty_score":0.02059305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181834378484225,"score_gpt":0.2379472908796732,"score_spread":0.2197638530312507,"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."}}