{"id":"W4389990225","doi":"10.1016/j.chemgeo.2023.121895","title":"Multi-phase quantitative compositional mapping by LA-ICP-MS: Analytical approach and data reduction protocol implemented in XMapTools","year":2023,"lang":"en","type":"article","venue":"Chemical Geology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"H2020 European Research Council; Horizon 2020; National Science Foundation; European Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Commission; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Plagioclase; Geology; Biotite; Calibration; Mineralogy; Electron microprobe; Quartz","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":[0.001601352,0.001984124,0.001199339,0.00269334,0.001172191,0.001587582,0.002033574,0.0008489774,0.01430201],"category_scores_gemma":[0.001844194,0.001212315,0.0008882991,0.002348124,0.0006742496,0.001083356,0.001406267,0.002765907,0.007347402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005443695,"about_ca_system_score_gemma":0.001372464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009235052,"about_ca_topic_score_gemma":0.001797137,"domain_scores_codex":[0.9988475,0.0001260671,0.000156245,0.0003905953,0.0003904306,0.00008913005],"domain_scores_gemma":[0.9991794,0.000232719,0.000119243,0.0001951885,0.0002336428,0.00003969483],"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":[0.001001282,0.0002236631,0.001759278,0.001430014,0.0001593331,0.0003334257,0.0005573968,0.001582358,0.8751694,0.003301651,0.008894002,0.1055882],"study_design_scores_gemma":[0.00006848553,0.0001314155,0.003535471,0.00008145324,0.00008951725,0.0004166535,0.0001775201,0.009802248,0.8629851,0.001835291,0.1207611,0.0001156794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.060306,0.001241316,0.8786631,0.0003374162,0.0002219927,0.001590595,0.0162142,0.0360068,0.005418574],"genre_scores_gemma":[0.03308928,0.001212361,0.9252322,0.000258479,0.00005639596,0.009120159,0.01472457,0.007584988,0.008721734],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01430201,"threshold_uncertainty_score":0.04784501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074379506747465,"score_gpt":0.3885335121510283,"score_spread":0.2810955614762818,"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."}}