{"id":"W3010837988","doi":"10.1002/adma.202003314","title":"Imaging Domain Reversal in an Ultrathin Van der Waals Ferromagnet","year":2020,"lang":"en","type":"article","venue":"Advanced Materials","topic":"2D Materials and Applications","field":"Materials Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; National Key Research and Development Program of China; Skolkovo Institute of Science and Technology; National Natural Science Foundation of China; Ontario Ministry of Natural Resources and Forestry; University of Melbourne; RMIT University; Australian Government; Australian National Fabrication Facility","keywords":"Condensed matter physics; van der Waals force; Materials science; Ferromagnetism; Coercivity; Nucleation; Magnetization; Magnetic domain; Curie temperature; Domain wall (magnetism); Magnetic force microscope; Hysteresis; Magnetic field; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006364356,0.0002773062,0.0004729448,0.00004932303,0.0001271361,0.0002679938,0.0004519462,0.0000725916,0.003608962],"category_scores_gemma":[0.000112291,0.0002627287,0.00003521352,0.0001801332,0.00009053833,0.0008749924,0.0001177422,0.00006721958,0.0007194551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005954053,"about_ca_system_score_gemma":0.0000547068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006287855,"about_ca_topic_score_gemma":0.00002951017,"domain_scores_codex":[0.9976698,0.0002148348,0.0006595894,0.0006686702,0.00027373,0.0005133401],"domain_scores_gemma":[0.9990209,0.00004442342,0.0002046345,0.0004330194,0.00007676002,0.0002202457],"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":[0.00009882208,0.00005345875,0.00006889741,0.00004592152,0.000001529768,0.00002548883,0.0006288291,0.0001091669,0.9962698,0.002228888,0.0002131894,0.0002560359],"study_design_scores_gemma":[0.0007947302,0.00008128626,0.0008801727,0.00003592534,0.00001064114,0.00001005381,0.0002453947,0.00001409576,0.985866,0.006306398,0.005392659,0.0003626926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955007,0.00008416086,0.0006993562,0.001627712,0.0004597784,0.0005406678,0.0002397836,0.0002641714,0.0005836426],"genre_scores_gemma":[0.9769407,0.00002250565,0.02082897,0.001584151,0.0002905227,0.0001756524,0.00006886412,0.00005261487,0.00003601152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02012961,"threshold_uncertainty_score":0.9999825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548464594138249,"score_gpt":0.2724702307010298,"score_spread":0.2569855847596473,"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."}}