{"id":"W2068023705","doi":"10.1016/j.palaeo.2008.03.031","title":"Investigating intra-bone isotopic variations in bioapatite using IR-laser ablation and micromilling: Implications for identifying diagenesis?","year":2008,"lang":"en","type":"article","venue":"Palaeogeography Palaeoclimatology Palaeoecology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Diagenesis; δ18O; δ13C; Carbonate; Laser ablation; Isotope analysis; Stable isotope ratio; Ablation; Geology; Mineralogy; δ15N; Chemistry; Laser","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":[0.0005735761,0.0002941584,0.0002861172,0.0004619989,0.0004670719,0.0008601844,0.0006890492,0.0009436634,0.001045396],"category_scores_gemma":[0.0009460805,0.0002859418,0.0001807187,0.0005541537,0.0008237188,0.0009395746,0.0003047443,0.0005731655,0.0002463648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003092194,"about_ca_system_score_gemma":0.0004772639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005557309,"about_ca_topic_score_gemma":0.01175528,"domain_scores_codex":[0.9998369,0.00002423397,0.00001372955,0.00005715563,0.00004326794,0.00002463116],"domain_scores_gemma":[0.9996672,0.0001216263,0.00006665826,0.00003224613,0.00009257787,0.000019811],"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":[0.0002921066,0.00002184483,0.01656626,0.00006059386,0.00001576891,0.00006700282,0.0001789566,0.00009935301,0.9744476,0.0002709619,0.00002627085,0.007953178],"study_design_scores_gemma":[0.00006390786,0.0003554401,0.1791123,0.00002463257,0.000114155,0.0007757752,0.0009578987,0.005359717,0.8096715,0.001189685,0.002340545,0.00003439571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843504,0.0007611625,0.01228262,0.000136136,0.00001774347,0.00002258991,0.000155098,0.00004301493,0.002231143],"genre_scores_gemma":[0.9881518,0.0003142694,0.01010731,0.0000761522,0.00001102907,0.0000190344,0.00008363475,0.00002929247,0.00120729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005557309,"threshold_uncertainty_score":0.01104993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0331722449903576,"score_gpt":0.2768836299605731,"score_spread":0.2437113849702155,"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."}}