{"id":"W1942638661","doi":"10.1088/0953-8984/27/14/146005","title":"Determination of the magnetic structure of Gd<sub>2</sub>Fe<sub>2</sub>Si<sub>2</sub>C by Mössbauer spectroscopy and neutron diffraction","year":2015,"lang":"en","type":"article","venue":"Journal of Physics Condensed Matter","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; Atomic Energy (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neutron diffraction; Mössbauer spectroscopy; Antiferromagnetism; Monoclinic crystal system; Intermetallic; Magnetic structure; Crystallography; Materials science; Spectroscopy; Magnetic moment; Diffraction; Crystal structure; Nuclear magnetic resonance; Magnetization; Chemistry; Condensed matter physics; Physics; Magnetic field; Optics","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":[0.0001107968,0.0002125673,0.0001595438,0.0005272668,0.0002286213,0.000231844,0.000222236,0.0001776103,0.0005804141],"category_scores_gemma":[0.000284579,0.0001644651,0.00008596466,0.0002590792,0.0002249693,0.0001461824,0.0001375699,0.0001708296,0.000216188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005677639,"about_ca_system_score_gemma":0.0003982619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006548013,"about_ca_topic_score_gemma":0.01110927,"domain_scores_codex":[0.9999454,0.000006288627,0.000004417973,0.00001095705,0.00002270395,0.00001024824],"domain_scores_gemma":[0.9998901,0.00001280595,0.00001694419,0.00001029896,0.00005547135,0.000014495],"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":[0.00007756845,0.00001289536,0.003316877,0.00004497104,0.000008578854,0.00008934999,0.00004452237,0.0003342348,0.993321,0.0004159083,0.00005999813,0.002274056],"study_design_scores_gemma":[0.00002116074,0.0001182723,0.02488548,0.00001071723,0.00002218218,0.0003671495,0.00008784259,0.004154779,0.9658375,0.0002415338,0.004240618,0.00001273365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960474,0.0006164662,0.001714413,0.00003883362,0.000006130605,0.000009878704,0.0001865506,0.00001726488,0.001362937],"genre_scores_gemma":[0.9939339,0.0002980003,0.004777235,0.00001587024,0.000004323854,0.000005114807,0.0003507495,0.000007079015,0.000607782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006548013,"threshold_uncertainty_score":0.0130198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007917559532777186,"score_gpt":0.210264821998381,"score_spread":0.2023472624656039,"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."}}