{"id":"W4392630625","doi":"10.5194/egusphere-egu24-15680","title":"High precision isotope ratio analysis for Cosmochemistry applications using the Thermo Scientific Neoma MC-ICP-MS.","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"","keywords":"Cosmochemistry; Isotope; Analytical Chemistry (journal); Chemistry; Radiochemistry; Astrobiology; Physics; Environmental chemistry; Nuclear physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003176887,0.002334261,0.001113474,0.00345485,0.001292544,0.001557568,0.002514574,0.002016267,0.01805779],"category_scores_gemma":[0.00299678,0.001281663,0.001097519,0.001950909,0.001002111,0.002768092,0.002536194,0.002605561,0.01681719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100071,"about_ca_system_score_gemma":0.001961701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813034,"about_ca_topic_score_gemma":0.005765837,"domain_scores_codex":[0.9950042,0.0004367853,0.0002208513,0.001273416,0.002966783,0.00009790643],"domain_scores_gemma":[0.9990018,0.0001528823,0.00009533376,0.0002297694,0.0004763512,0.00004380978],"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":[0.0001363794,0.0001050232,0.001721894,0.001001157,0.0001759914,0.0002407984,0.0001818845,0.0008458036,0.7777174,0.005580775,0.03607453,0.1762184],"study_design_scores_gemma":[0.00004519445,0.0001456567,0.003189146,0.0001298729,0.0001004114,0.001577657,0.00009966802,0.01257605,0.6657038,0.005022295,0.3112645,0.0001457959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009474046,0.006715933,0.9227543,0.0006818451,0.0009082044,0.0006972647,0.006369086,0.01828717,0.03411224],"genre_scores_gemma":[0.04421409,0.003885532,0.9038323,0.0007966275,0.000192272,0.001307816,0.00636969,0.002596344,0.03680526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01805779,"threshold_uncertainty_score":0.06040931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999493626792124,"score_gpt":0.281604797682879,"score_spread":0.2616098614149577,"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."}}