{"id":"W2729856006","doi":"10.1126/sciadv.1603150","title":"Resolving quanta of collective spin excitations in a millimeter-sized ferromagnet","year":2017,"lang":"en","type":"article","venue":"Science Advances","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":363,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut quantique; Université de Sherbrooke","funders":"Japan Science and Technology Agency; Research Foundation for Opto-Science and Technology; Natural Sciences and Engineering Research Council of Canada; Murata Science Foundation; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; National Institute of Information and Communications Technology; Tateisi Science and Technology Foundation","keywords":"Ferromagnetism; Quasiparticle; Condensed matter physics; Physics; Spin (aerodynamics); Superconductivity; Millimeter; Spin wave; Quantum; Quantum mechanics; 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":[0.0001505717,0.00006694908,0.0001518344,0.0001428629,0.0004175565,0.0003290413,0.000378001,0.0005403455,0.002442124],"category_scores_gemma":[0.0004760535,0.00009880087,0.00007796985,0.0001472171,0.0004971267,0.0005972243,0.0004637091,0.0007537445,0.0001710462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872482,"about_ca_system_score_gemma":0.000122112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000218179,"about_ca_topic_score_gemma":0.0006406097,"domain_scores_codex":[0.9999529,0.000005786175,0.000001528107,0.00001357415,0.00001700042,0.000009121964],"domain_scores_gemma":[0.9998409,0.00007964038,0.00002312468,0.0000205069,0.00001157818,0.00002426311],"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":[0.0003649448,0.0001027853,0.002048836,0.0001112441,0.00002828666,0.0009000727,0.0003051919,0.002092264,0.9577289,0.02034928,0.002913705,0.01305462],"study_design_scores_gemma":[0.0002383161,0.0009075088,0.01715987,0.00007254146,0.00006333548,0.00198581,0.0009848732,0.1443909,0.7779752,0.03481839,0.02130194,0.0001013597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787836,0.0003343363,0.01130449,0.001567076,0.0002359715,0.0000123836,0.0001427671,0.0001670142,0.007452511],"genre_scores_gemma":[0.9953622,0.00004320966,0.003534798,0.0001090017,0.0000191929,0.000005160825,0.00002813927,0.00001012165,0.0008880927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002442124,"threshold_uncertainty_score":0.008169711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785413635039372,"score_gpt":0.3060117897843678,"score_spread":0.2881576534339741,"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."}}