{"id":"W2911905005","doi":"10.1017/s1431927618015684","title":"The <i>f</i>-Ratio Quantification Method for X-ray Microanalysis Applied to Mg–Al–Zn Alloys","year":2019,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; McGill University","funders":"","keywords":"Microanalysis; Analytical Chemistry (journal); Tungsten; Materials science; Spectroscopy; Calibration; Monte Carlo method; Scanning electron microscope; Field electron emission; Chemistry; Electron; Physics; Metallurgy; Mathematics; Nuclear physics; Chromatography","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":[0.002170622,0.001220373,0.0007837255,0.002441855,0.0007469474,0.001022491,0.001517012,0.001200299,0.002076805],"category_scores_gemma":[0.002000308,0.0006661374,0.0006883879,0.0009877303,0.0009634055,0.001236152,0.0007434237,0.0009059504,0.0008581639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009370199,"about_ca_system_score_gemma":0.0008914817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847527,"about_ca_topic_score_gemma":0.002901993,"domain_scores_codex":[0.9978365,0.0003776374,0.0001456286,0.0006016876,0.0009512068,0.00008730034],"domain_scores_gemma":[0.999222,0.0001765322,0.0001224382,0.0001346823,0.0003231975,0.0000210891],"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":[0.00006193215,0.00004157873,0.001389777,0.0005030673,0.00005192391,0.0001217911,0.0001043769,0.0009538956,0.9176072,0.004305949,0.001130966,0.07372758],"study_design_scores_gemma":[0.00001081663,0.00008652735,0.003019382,0.00004151521,0.00005214732,0.0008320838,0.00004671345,0.02360583,0.956148,0.001151661,0.01492781,0.00007733099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03388213,0.003354896,0.9559832,0.0001494564,0.0002064598,0.0002144303,0.000339753,0.001956875,0.003912868],"genre_scores_gemma":[0.1592072,0.001845707,0.8337498,0.0001267099,0.00003807142,0.0003037031,0.000263181,0.0003353236,0.004130384],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002441855,"threshold_uncertainty_score":0.0114795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067432344530084,"score_gpt":0.3062251779547057,"score_spread":0.2955508545094048,"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."}}