{"id":"W2088668628","doi":"10.2113/gsecongeo.97.1.159","title":"ION-MICROPROBE ANALYSIS OF FeTi OXIDES: OPTIMIZATION FORTHE DETERMINATION OF INVISIBLE GOLD","year":2002,"lang":"en","type":"article","venue":"Economic Geology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"FETI; Microprobe; Ion; Materials science; Analytical Chemistry (journal); Computer science; Chemistry; Chromatography; Mineralogy; Engineering; Structural engineering; Finite element method; Organic 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":[0.0004591577,0.0008072147,0.0002834123,0.0003438827,0.0002737188,0.0002709887,0.0004425339,0.0003540065,0.001043477],"category_scores_gemma":[0.0004708022,0.0003115842,0.0001762413,0.0002163859,0.000275672,0.0001753357,0.0002325016,0.0002741427,0.0004878532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220278,"about_ca_system_score_gemma":0.0002385658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033455,"about_ca_topic_score_gemma":0.003514889,"domain_scores_codex":[0.999703,0.00005637531,0.00002468348,0.00007470979,0.00009315339,0.00004801835],"domain_scores_gemma":[0.9997942,0.00006570994,0.00002201039,0.00002269595,0.00007247116,0.00002296767],"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":[0.000009543016,0.000004814978,0.00008001136,0.00001530344,0.000001513425,0.00001463809,0.000009300659,0.00003747169,0.9992213,0.00001899806,0.000009334185,0.0005777337],"study_design_scores_gemma":[0.000003673992,0.0000480542,0.001432042,0.000002184775,0.000004719921,0.00005989414,0.0000176375,0.001528849,0.9959941,0.00002448302,0.0008806934,0.000003672115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8786772,0.0009032696,0.1168297,0.0000974963,0.00003646058,0.0004346157,0.0005575866,0.0005180718,0.00194555],"genre_scores_gemma":[0.738928,0.001567233,0.2520503,0.0001018377,0.00001577051,0.0005388767,0.001059753,0.0002552698,0.005482962],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001043477,"threshold_uncertainty_score":0.003490746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337353370078021,"score_gpt":0.2067278853227214,"score_spread":0.1933543516219412,"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."}}