{"id":"W2416611146","doi":"10.1002/ece3.2238","title":"Dentine oxygen isotopes (<i>δ</i><sup>18</sup>O) as a proxy for odontocete distributions and movements","year":2016,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; ArcticNet; Canada Research Chairs; Canada Foundation for Innovation; Nunavut Wildlife Management Board; Natural Sciences and Engineering Research Council of Canada; Louisiana State University","keywords":"Isotopes of oxygen; Carbonate; δ18O; Oceanography; Geology; δ13C; Latitude; Arctic; Oxygen-18; Stable isotope ratio; Surface water; Seawater; Environmental science; Environmental chemistry; Mineralogy; Chemistry; Geochemistry; Physics","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":[0.0001978832,0.0002508757,0.0002114097,0.0006510889,0.0003103716,0.0003243765,0.0001913193,0.0002564699,0.0005577429],"category_scores_gemma":[0.0004898548,0.0001700131,0.0001118675,0.0007912774,0.0003715421,0.0002407847,0.0003568924,0.0002092481,0.0001382686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002190223,"about_ca_system_score_gemma":0.0001359186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006944966,"about_ca_topic_score_gemma":0.02512751,"domain_scores_codex":[0.9998946,0.00001084745,0.000008863622,0.0000506643,0.00002049674,0.00001458699],"domain_scores_gemma":[0.9996861,0.00005837036,0.0001229055,0.00002487134,0.00007494831,0.00003279499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007184828,0.00001456437,0.9364753,0.00003478639,0.00007069094,0.00003536997,0.0002241646,0.0001310219,0.05409857,0.00003652048,0.00006914822,0.008738087],"study_design_scores_gemma":[0.000001452023,0.00003301082,0.9966789,0.00000373929,0.00001642549,0.00005340217,0.0001649881,0.0001965927,0.002423255,0.00004357328,0.0003812798,0.000003350022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985293,0.0002806971,0.0004120125,0.000007384093,0.000002031026,0.000003830605,0.0002383936,0.000004079902,0.0005221657],"genre_scores_gemma":[0.9982318,0.000212646,0.001060309,0.00001871673,0.000003204028,0.000008713671,0.0002162859,0.000003546711,0.0002447568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006944966,"threshold_uncertainty_score":0.01380908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006993195044857414,"score_gpt":0.2281833435202209,"score_spread":0.2211901484753635,"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."}}