{"id":"W7018527087","doi":"","title":"Determining concentration limits for boron quantification using EELS and for energy-filtering imaging","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boron; Analytical Chemistry (journal); Quantitative analysis (chemistry); Analyte","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01127727,0.001175418,0.001080557,0.002479728,0.002084837,0.003359505,0.002479335,0.005154461,0.003886448],"category_scores_gemma":[0.01298112,0.001321183,0.001164308,0.000902884,0.001946687,0.002351856,0.001404186,0.002241625,0.002537359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002665103,"about_ca_system_score_gemma":0.002436714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006776735,"about_ca_topic_score_gemma":0.01165011,"domain_scores_codex":[0.9907346,0.002726222,0.0008089297,0.001363104,0.003647096,0.0007201002],"domain_scores_gemma":[0.9892256,0.005209035,0.0006133837,0.001185658,0.003515428,0.0002509694],"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":[0.0005220169,0.0002269672,0.002235324,0.0004820623,0.0000676803,0.000138331,0.0004249524,0.001929505,0.9610747,0.007752949,0.002237302,0.02290818],"study_design_scores_gemma":[0.00001042116,0.0001299984,0.0009511008,0.00007258412,0.00003603954,0.00009327623,0.00007530363,0.00274358,0.9878674,0.0009390221,0.007058857,0.00002248332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2680565,0.01113887,0.6477069,0.002738658,0.0007679767,0.001452197,0.004112011,0.003131874,0.06089497],"genre_scores_gemma":[0.4459015,0.003682356,0.5200088,0.002058909,0.0001247388,0.001821034,0.003434323,0.0009641057,0.02200418],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01127727,"threshold_uncertainty_score":0.05964065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008054830442447,"score_gpt":0.3410181437984843,"score_spread":0.3209375954940598,"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."}}