{"id":"W2950899259","doi":"10.20944/preprints201709.0024.v1","title":"Magnetic Transport in Spin Antiferromagnets for Spintronics Applications","year":2017,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Spintronics; Condensed matter physics; Physics; Magnetism; Magnetic field; Magnetic dipole; Fermion; Electron; Quantum mechanics; Ferromagnetism","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":[0.0002714309,0.0001807661,0.0003372564,0.0004343911,0.0009096365,0.001330099,0.000395164,0.0009264639,0.002994161],"category_scores_gemma":[0.000543021,0.0001394334,0.000298123,0.000296022,0.0008913433,0.00123789,0.0005786857,0.0006418448,0.0003309144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007131216,"about_ca_system_score_gemma":0.0004217954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006260008,"about_ca_topic_score_gemma":0.001098281,"domain_scores_codex":[0.999902,0.00003081182,0.000005157478,0.00001184618,0.00003265369,0.000017549],"domain_scores_gemma":[0.9999115,0.00003417127,0.00001118278,0.00001410442,0.00001449584,0.0000144442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005723994,0.00005987766,0.0002595961,0.0001169102,0.000006396727,0.0003014615,0.0001357823,0.003305798,0.02713789,0.9625884,0.00164538,0.004385168],"study_design_scores_gemma":[0.00007013622,0.0001206364,0.0005488441,0.00008128933,0.00001226788,0.0004413595,0.0002287137,0.09389237,0.01304475,0.8772826,0.01425132,0.00002564634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7564492,0.004151194,0.1221025,0.009434779,0.001869868,0.0001371093,0.0002203422,0.0005670356,0.1050679],"genre_scores_gemma":[0.9762827,0.0008395739,0.01381785,0.0003977028,0.0001721546,0.00007586,0.00009487683,0.00005392171,0.008265445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002994161,"threshold_uncertainty_score":0.01001644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08968085806776137,"score_gpt":0.3481478154040743,"score_spread":0.2584669573363129,"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."}}