{"id":"W2098733118","doi":"10.1144/geochem2012-163","title":"Improving lithological discrimination in exploration drill-cores using portable X-ray fluorescence measurements: (1) testing three Olympus Innov-X analysers on unprepared cores","year":2014,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Drill; X-ray fluorescence; Materials science; Fluorescence; Physics; Optics; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001269988,0.000419103,0.0004858184,0.0003559344,0.0003562494,0.0002579804,0.0006869559,0.0002103409,0.00006575212],"category_scores_gemma":[0.0009492306,0.0004124019,0.0001731431,0.001822308,0.000121048,0.001465125,0.0002781483,0.000253407,0.00001551077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287123,"about_ca_system_score_gemma":0.00004161344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291982,"about_ca_topic_score_gemma":0.00006039958,"domain_scores_codex":[0.9963197,0.0001978601,0.0008677023,0.001220696,0.00086164,0.000532408],"domain_scores_gemma":[0.9978079,0.0001533158,0.0006943188,0.0010542,0.000156101,0.0001341294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003010129,0.0002647468,0.0773292,0.00005817443,0.0001498947,0.00001566877,0.0006613901,0.6250451,0.2883882,0.0001553904,0.00001893054,0.007883207],"study_design_scores_gemma":[0.0004301626,0.00007374337,0.009125385,0.00006321204,0.0002267838,0.000002707262,0.0003729581,0.9291956,0.05798237,0.001955665,0.00006492306,0.0005065351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3233781,0.00003069009,0.6748028,0.0005731936,0.0000524805,0.0002732595,0.000003527941,0.0001399641,0.000745946],"genre_scores_gemma":[0.9708809,0.00001293296,0.02844626,0.00007053914,0.00008521994,0.0001365989,0.0002772313,0.000008434574,0.00008183694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6475028,"threshold_uncertainty_score":0.9998328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07294791267691188,"score_gpt":0.2486920647020817,"score_spread":0.1757441520251699,"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."}}