{"id":"W2602098529","doi":"10.1038/s41598-017-00579-w","title":"The Magnetic and Crystal Structure of MnxGa (1.15 ≤ x ≤ 1.8) Alloys","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Magnetic and transport properties of perovskites and related materials","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Neutron diffraction; Crystallography; Magnetization; Magnetic moment; Crystal structure; Antiparallel (mathematics); Diffraction; Formula unit; Magnetic structure; Moment (physics); Materials science; Chemistry; Condensed matter physics; Physics; Magnetic field","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":[0.00009182245,0.0001116961,0.0001382898,0.0003531013,0.0003290162,0.0004325614,0.0004499412,0.0002967844,0.001146164],"category_scores_gemma":[0.0002076317,0.0001577153,0.00006159642,0.0002254436,0.0001822166,0.00008344756,0.0001224948,0.0001728375,0.0001762406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006335594,"about_ca_system_score_gemma":0.0002772755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004348704,"about_ca_topic_score_gemma":0.004281,"domain_scores_codex":[0.9999472,0.000005196547,0.000003410882,0.00001426776,0.00001979654,0.00001010475],"domain_scores_gemma":[0.999938,0.000006728381,0.00002651882,0.000003977271,0.00001675286,0.000008025433],"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":[0.0003341075,0.00006013381,0.008967742,0.0002526629,0.00001470795,0.0001834916,0.0001334319,0.003300425,0.975469,0.00385655,0.000677333,0.00675047],"study_design_scores_gemma":[0.0002304279,0.0009967741,0.1951536,0.00009595655,0.000093551,0.001251627,0.000741996,0.05906308,0.7201587,0.002769005,0.01938136,0.00006389659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972947,0.0004411198,0.0002462135,0.00004756299,0.000005946091,0.000007184664,0.0002676418,0.0000182878,0.001671336],"genre_scores_gemma":[0.9972286,0.0001167907,0.0008765163,0.00001411514,0.000002803825,0.00001254725,0.0004625268,0.000004722067,0.001281382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004348704,"threshold_uncertainty_score":0.008646786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007851823822809585,"score_gpt":0.2102092136436262,"score_spread":0.2023573898208166,"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."}}