{"id":"W2067220951","doi":"10.1139/v06-183","title":"Heterogeneities in sol–gel-derived paramagnetics-doped forsterites and willemites — Electron microprobe analysis and stretched-exponential <sup>29</sup>Si MAS NMR spin–lattice relaxation studies","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Spin–lattice relaxation; Forsterite; Dopant; Relaxation (psychology); Electron paramagnetic resonance; Paramagnetism; Crystallite; Analytical Chemistry (journal); Electron microprobe; Impurity; Doping; Nuclear magnetic resonance; Crystallography; Condensed matter physics; Mineralogy; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002164419,0.0002377556,0.0004141622,0.0001738318,0.0001524415,0.00007778229,0.0001707931,0.0001807327,0.00007935661],"category_scores_gemma":[0.0001210268,0.0002480425,0.0001045596,0.0002393017,0.0002656144,0.0001527697,0.00003312713,0.0003665996,2.859201e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002132411,"about_ca_system_score_gemma":0.0001541372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003662329,"about_ca_topic_score_gemma":0.003236225,"domain_scores_codex":[0.9985538,0.00001162071,0.0006129064,0.0002660886,0.0001356347,0.0004199564],"domain_scores_gemma":[0.9987437,0.0001020725,0.0003844418,0.000212801,0.000196588,0.0003604443],"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":[0.00008312668,0.00003849831,0.04283035,0.0003577883,0.0005358572,0.0001042192,0.002158335,0.0005771992,0.9490892,0.00001869736,0.0001294062,0.004077302],"study_design_scores_gemma":[0.0007232396,0.00005081634,0.002132531,0.0001890556,0.0003639518,0.0002072633,0.004700983,0.0007045848,0.9879594,0.0007196751,0.001859908,0.0003885662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916511,0.007093295,0.0005382199,0.0003685742,0.000004045339,0.0000634286,0.00003395386,0.00001535945,0.0002319924],"genre_scores_gemma":[0.9953456,0.0008898916,0.00328985,0.00006771905,0.000122573,0.000009096964,0.00003557312,0.00002412419,0.0002155624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04069782,"threshold_uncertainty_score":0.9999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191367391781992,"score_gpt":0.2667895849480761,"score_spread":0.2548759110302562,"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."}}