{"id":"W2067739406","doi":"10.2174/1874383800903010031","title":"The Quest for a Fundamental Algorithm in X-Ray Fluorescence Analysis and Calibration","year":2009,"lang":"en","type":"article","venue":"The Open Spectroscopy Journal","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Calibration; Algorithm; Flexibility (engineering); Analyte; Sample (material); Intensity (physics); Matrix (chemical analysis); Mathematics; Computer science; Physics; Optics; Statistics; Chemistry; Thermodynamics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001147595,0.0002006007,0.000338292,0.0001275815,0.001235618,0.001611683,0.0008161898,0.00003119731,0.0001548316],"category_scores_gemma":[0.00001033248,0.0001157143,0.0002038307,0.0006753948,0.000130542,0.0005577331,0.00007965109,0.000393446,0.000003953682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007312789,"about_ca_system_score_gemma":0.00009585755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000372232,"about_ca_topic_score_gemma":0.000179652,"domain_scores_codex":[0.9984348,0.0001491213,0.0004242685,0.000284169,0.0002381225,0.0004695452],"domain_scores_gemma":[0.999139,0.000134583,0.0002464035,0.0003159367,0.00005239437,0.0001116637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001768322,0.001556822,0.3230772,0.000009364924,0.004577531,0.00003612934,0.005193653,0.00155594,0.1253473,0.2978915,0.005917794,0.2330686],"study_design_scores_gemma":[0.006615604,0.002289383,0.2770753,0.0001750753,0.003733193,0.00004750551,0.01053584,0.3186179,0.08028363,0.2945608,0.004294029,0.001771691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2715243,0.001437806,0.6981789,0.02163026,0.0004509445,0.002631731,0.000111223,0.00003941386,0.003995389],"genre_scores_gemma":[0.9785813,0.0001606357,0.02012104,0.0001980315,0.0005265081,0.00003717297,0.00002052898,0.00001278004,0.0003419929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7070571,"threshold_uncertainty_score":0.9994248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008786187760824687,"score_gpt":0.3003492840203009,"score_spread":0.2915630962594762,"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."}}