{"id":"W2770068491","doi":"10.1149/2.0081712jss","title":"Vacancy-Induced Ferromagnetic Behavior in Antiferromagnetic NiO Nanoparticles: A Positron Annihilation Study","year":2017,"lang":"en","type":"article","venue":"ECS Journal of Solid State Science and Technology","topic":"ZnO doping and properties","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Materials science; Ferromagnetism; Vacancy defect; X-ray photoelectron spectroscopy; Crystallite; Annealing (glass); Condensed matter physics; Non-blocking I/O; Grain size; Positron annihilation spectroscopy; Antiferromagnetism; Magnetization; Grain boundary; Positron; Analytical Chemistry (journal); Microstructure; Nuclear magnetic resonance; Metallurgy; Positron annihilation; Magnetic field","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009294904,0.0001920589,0.0001889165,0.0001411956,0.0001520675,0.0001694945,0.0002293989,0.0001805809,0.0007799656],"category_scores_gemma":[0.0001388123,0.0001466093,0.0001397727,0.0001225463,0.0001811844,0.000177864,0.00008890806,0.0001618481,0.0001190268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805463,"about_ca_system_score_gemma":0.0000754007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313639,"about_ca_topic_score_gemma":0.001417567,"domain_scores_codex":[0.9999501,0.000004919096,0.000003477605,0.00001337598,0.00001386719,0.00001435615],"domain_scores_gemma":[0.999927,0.00001260927,0.00001709962,0.00000876916,0.00002489656,0.000009613244],"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":[0.00008413524,0.00001153459,0.0004705345,0.00002583194,0.00000437138,0.00004144132,0.00002699265,0.00005255222,0.9988747,0.00004570408,0.000008614413,0.000353448],"study_design_scores_gemma":[0.00001562542,0.0002454575,0.009659341,0.000004860901,0.00002525313,0.0001174788,0.00005850852,0.001518479,0.9873612,0.00004091973,0.000946253,0.000006562803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986814,0.0003426927,0.0005068723,0.00001197172,0.00000580799,0.000005356248,0.000049186,0.000008030366,0.0003886199],"genre_scores_gemma":[0.9990078,0.000125694,0.0003767943,0.000004232548,0.000002296583,0.000005848134,0.00008467252,0.000006844351,0.0003858129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001313639,"threshold_uncertainty_score":0.002611935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696532875624644,"score_gpt":0.3094911361264499,"score_spread":0.2825258073702035,"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."}}