{"id":"W4309764754","doi":"10.1016/j.jmmm.2022.170176","title":"Thin film properties of the non-collinear Weyl antiferromagnet Mn3Sn","year":2022,"lang":"en","type":"article","venue":"Journal of Magnetism and Magnetic Materials","topic":"Magnetic and transport properties of perovskites and related materials","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"JST-Mirai Program; Core Research for Evolutional Science and Technology; Basic Energy Sciences; Japan Society for the Promotion of Science; Office of Science; University of Tokyo; Canadian Institute for Advanced Research; U.S. Department of Energy","keywords":"Antiferromagnetism; Condensed matter physics; Ferromagnetism; Spin (aerodynamics); Thin film; Ultrashort pulse; Focus (optics); Physics; Demagnetizing field; Materials science; Magnetic field; Optics; Magnetization; Quantum mechanics; Laser","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":[0.0001204185,0.0002514638,0.0002498263,0.0002826931,0.0002551188,0.0005199802,0.0004070644,0.0003377221,0.002493948],"category_scores_gemma":[0.0003152779,0.0002171519,0.0001568372,0.0002673984,0.0001857014,0.0004613289,0.0001818818,0.000302022,0.0003146221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004634862,"about_ca_system_score_gemma":0.0001952961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005086611,"about_ca_topic_score_gemma":0.005640002,"domain_scores_codex":[0.999916,0.000005691296,0.000003191578,0.00002240904,0.00003318281,0.00001951991],"domain_scores_gemma":[0.9998098,0.00005072111,0.00003210873,0.00001629121,0.00007328743,0.00001784458],"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":[0.0002645654,0.00003309019,0.0005576765,0.00009755819,0.00002410537,0.000139593,0.00005069895,0.0003469286,0.9965557,0.0002070349,0.0003925973,0.001330498],"study_design_scores_gemma":[0.00003661482,0.0003112099,0.005892466,0.00002101433,0.00005584573,0.0001195704,0.00009905393,0.004407867,0.9874959,0.00005387504,0.001493298,0.00001338882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996846,0.0004910214,0.0002416868,0.00007590788,0.00003082117,0.000005584393,0.0003273042,0.00004353788,0.0019382],"genre_scores_gemma":[0.9963903,0.0002948509,0.0003292001,0.00002096407,0.00001040988,0.000006409647,0.0003246306,0.00001845064,0.002604755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005086611,"threshold_uncertainty_score":0.01011401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007540114591029803,"score_gpt":0.176251713871484,"score_spread":0.1687115992804542,"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."}}