{"id":"W4409071086","doi":"10.3749/9780921294801.ch14","title":"CHAPTER 14: USE OF DISCRETE-DYNODE SECONDARY ELECTRON MULTIPLIERS WITH FARADAYS – A ‘<i>REDUCED VOLUME</i>’ APPROACH FOR <i>IN SITU</i> U–PB DATING OF ACCESSORY MINERALS WITHIN PETROGRAPHIC THIN SECTION BY LA–MC–ICP–MS","year":2008,"lang":"en","type":"book-chapter","venue":"Mineralogical Association of Canada eBooks","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Petrography; Section (typography); Thin section; In situ; Dynode; Volume (thermodynamics); Mineralogy; Geology; Geochemistry; Chemistry; Computer science; Physics; Thermodynamics; Organic chemistry; Physical chemistry","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":[0.0003917278,0.0007506415,0.0003883059,0.0008339167,0.000535947,0.001177144,0.001263396,0.0007524036,0.02505196],"category_scores_gemma":[0.0003697983,0.0007080444,0.0003692248,0.0008622573,0.0004729013,0.001282302,0.0005541256,0.001187305,0.009836379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007182611,"about_ca_system_score_gemma":0.0005812565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006453475,"about_ca_topic_score_gemma":0.002371814,"domain_scores_codex":[0.9997434,0.00002192411,0.00001251163,0.00007780203,0.0001333879,0.00001097129],"domain_scores_gemma":[0.9998705,0.00003668319,0.000007081928,0.00002526429,0.00005532435,0.000005114166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000606603,0.00005853421,0.000320141,0.001215798,0.00003213678,0.0001953341,0.000498017,0.002564161,0.1654782,0.1117464,0.09170672,0.6261238],"study_design_scores_gemma":[0.00000429828,0.00002604411,0.0005755916,0.0001071722,0.00001209602,0.000440299,0.00003600032,0.002128598,0.1112792,0.01182563,0.873542,0.00002302874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007350795,0.0147275,0.7246495,0.0008568577,0.00194729,0.0003074218,0.001084684,0.00385481,0.2452212],"genre_scores_gemma":[0.02959189,0.01202412,0.5402853,0.0005029698,0.0002284616,0.0003101049,0.001423687,0.002213659,0.4134198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02505196,"threshold_uncertainty_score":0.08380711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172442607173536,"score_gpt":0.1750098729917171,"score_spread":0.1632854469199818,"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."}}