{"id":"W2737983364","doi":"10.1016/j.chemgeo.2017.07.019","title":"Application of flow-through time-resolved analysis (FT-TRA) to isolate the elemental composition in ostracod calcite","year":2017,"lang":"en","type":"article","venue":"Chemical Geology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Calcite; Dissolution; Carbonate; Ostracod; Trace element; Geology; Contamination; Mineralogy; Chemical composition; Geochemistry; Chemistry; Materials science; Paleontology; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003055234,0.00009684215,0.0002745173,0.00007904133,0.0001424563,0.00001213101,0.0005101387,0.0001800361,0.001278474],"category_scores_gemma":[0.00005253336,0.00007358706,0.00007649663,0.0002033705,0.0005312019,0.00007295099,0.00005345566,0.0002344073,0.0007050915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001826883,"about_ca_system_score_gemma":0.00001587285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009410258,"about_ca_topic_score_gemma":0.002695783,"domain_scores_codex":[0.9989308,0.0001060407,0.0002552636,0.0002727655,0.0001044692,0.000330725],"domain_scores_gemma":[0.9991629,0.0002275167,0.0001063026,0.0004031573,0.00003823455,0.00006189434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001401207,0.00002612276,0.9925352,0.000006124725,0.00007288791,0.000005706854,0.0001684439,0.0009816932,0.005023029,0.00003530595,0.00005083711,0.0009545471],"study_design_scores_gemma":[0.0003205799,0.00005926781,0.953768,0.000002658654,0.0000580879,0.00001398544,0.00002782182,0.03953212,0.005148764,0.000811026,0.0001680066,0.00008973223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906162,0.00007276566,0.001211902,0.003411599,0.00003963385,0.000206804,0.00002556163,0.000007992089,0.004407532],"genre_scores_gemma":[0.9984856,0.000008945009,0.0008899773,0.0002294495,0.00002832265,0.000004953583,0.0002749182,0.000001453252,0.00007641316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03876723,"threshold_uncertainty_score":0.9996345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302096833791602,"score_gpt":0.2759548914683596,"score_spread":0.2629339231304436,"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."}}