{"id":"W2139196195","doi":"10.1103/physrevb.93.195120","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi>Se</mml:mi><mml:mprescripts/><mml:none/><mml:mn>77</mml:mn></mml:mmultiscripts></mml:math>nuclear magnetic resonance of topological insulator<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:msub><mml:mi>Bi</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>Se</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math>","year":2016,"lang":"lv","type":"article","venue":"Physical review. B./Physical review. B","topic":"Topological Materials and Phenomena","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Graduate School BuildMoNa; Deutsche Forschungsgemeinschaft; Compute Canada","keywords":"Electronic structure; Physics; Crystallography; Materials science; Condensed matter physics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005899387,0.001289905,0.0005519236,0.001189303,0.0007652015,0.002652754,0.001506405,0.001133448,0.2358472],"category_scores_gemma":[0.001044637,0.0006335002,0.0005646548,0.001771201,0.0004849868,0.002382064,0.0008948969,0.001386055,0.1747985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102837,"about_ca_system_score_gemma":0.0006639801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00454301,"about_ca_topic_score_gemma":0.009046449,"domain_scores_codex":[0.9996744,0.00004496827,0.00002299275,0.00005703065,0.0001545506,0.00004596569],"domain_scores_gemma":[0.9996064,0.0001085094,0.00003745014,0.0001269019,0.00007917828,0.00004164674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004144348,0.0002159924,0.0004794044,0.0006337225,0.00003410229,0.0003878291,0.0002683095,0.0011284,0.1183009,0.04053635,0.7082765,0.129324],"study_design_scores_gemma":[0.00005789093,0.00005270456,0.001046613,0.00004659836,0.00001269752,0.0002234513,0.00007115669,0.003882046,0.0825077,0.007409308,0.904634,0.00005575201],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02228622,0.0007621102,0.1371188,0.00322119,0.0008327856,0.0005962336,0.1153501,0.08807062,0.631762],"genre_scores_gemma":[0.05887241,0.002747942,0.1239805,0.001633957,0.0002504788,0.0007391901,0.2279915,0.05444416,0.5293398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2358472,"threshold_uncertainty_score":0.7889875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422433746328835,"score_gpt":0.2708734217900918,"score_spread":0.2466490843268034,"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."}}