{"id":"W2125583154","doi":"10.3749/canmin.47.2.297","title":"THE CRYSTAL CHEMISTRY OF THE KORNERUPINE-PRISMATINE SERIES. IV. COMPLETE CHEMICAL FORMULAE FROM ELECTRON-MICROPROBE DATA AND X-RAY POWDER DIFFRACTION","year":2009,"lang":"en","type":"article","venue":"The Canadian Mineralogist","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Electron microprobe; Series (stratigraphy); X-ray; Crystallography; Crystal chemistry; Microprobe; Powder diffraction; Chemistry; Electron diffraction; X-ray crystallography; Crystal (programming language); Diffraction; Analytical Chemistry (journal); Crystal structure; Materials science; Mineralogy; Physics; Optics; Geology; Organic chemistry; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002268674,0.0002664929,0.0002274775,0.000009471181,0.0007633148,0.0001664249,0.001196383,0.0001538722,0.0002088224],"category_scores_gemma":[0.0001978929,0.0001561379,0.00006407012,0.0001383583,0.0005388502,0.0001802578,0.0001257463,0.0005658041,0.000001527482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148545,"about_ca_system_score_gemma":0.0002856902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252073,"about_ca_topic_score_gemma":0.01525409,"domain_scores_codex":[0.9984974,0.00002786669,0.0003609057,0.0003879815,0.0002367177,0.0004891737],"domain_scores_gemma":[0.9981552,0.0001339073,0.000265978,0.001198686,0.00007405016,0.0001721456],"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":[0.00005805838,0.00001702687,0.0002623688,0.00003959825,0.00005949308,0.000002926919,0.000131967,0.000008569062,0.9919284,0.00005422852,0.00563674,0.001800607],"study_design_scores_gemma":[0.0009783719,0.00001949097,0.002490998,0.000123555,0.0001638515,0.0001200746,0.0004988493,0.001951365,0.8192505,0.002147209,0.1716884,0.0005673572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732216,0.001143072,0.00001289025,0.01068479,0.0000466555,0.0001285281,0.0006549631,0.00002966657,0.01407783],"genre_scores_gemma":[0.9963204,0.00005415535,0.0001077236,0.0003716908,0.0004130995,0.000007728314,0.0005845931,0.00002022631,0.002120337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1726779,"threshold_uncertainty_score":0.994055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654564626308035,"score_gpt":0.2320582468120514,"score_spread":0.2155126005489711,"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."}}