{"id":"W2193114868","doi":"10.1038/ncomms8701","title":"An itinerant antiferromagnetic metal without magnetic constituents","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Iron-based superconductors research","field":"Materials Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Air Force Office of Scientific Research; Basic Energy Sciences; Japan Atomic Energy Agency; Office of International Science and Engineering; Multidisciplinary University Research Initiative; Florida State University; Office of Science; Division of Materials Research; Rice University; National Institute of Standards and Technology; High Magnetic Field Laboratory, Chinese Academy of Sciences; National Science Foundation; TRIUMF; National High Magnetic Field Laboratory; Welch Foundation; Brookhaven National Laboratory; U.S. Department of Energy","keywords":"Antiferromagnetism; Condensed matter physics; Magnetism; Ferromagnetism; Physics; Ground state; Spin (aerodynamics); Electron; Magnetic moment; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000666063,0.0001607296,0.0001955646,0.0005281321,0.0006977108,0.0006355594,0.000387657,0.0005731108,0.001126905],"category_scores_gemma":[0.0004150833,0.0001365218,0.00007121662,0.0002354306,0.0006147065,0.0005014464,0.0003788652,0.000331741,0.0003644099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108501,"about_ca_system_score_gemma":0.0001590599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000495785,"about_ca_topic_score_gemma":0.00117582,"domain_scores_codex":[0.9998977,0.000006812932,0.000005355233,0.00002426902,0.00004442302,0.00002134031],"domain_scores_gemma":[0.9998949,0.00001886139,0.00002679545,0.00002082222,0.00001877759,0.00001977553],"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":[0.0002384093,0.00002136828,0.002437286,0.0003258178,0.00001454656,0.001153104,0.0003181413,0.0002372157,0.9575449,0.02892431,0.001097734,0.007687234],"study_design_scores_gemma":[0.00003083542,0.0004063088,0.01070901,0.00009576599,0.00006886395,0.006407885,0.0005506685,0.005863283,0.9138023,0.01297185,0.04905013,0.00004305814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638134,0.001897739,0.006460821,0.0005320013,0.0001556474,0.00001996771,0.0002655634,0.0003348285,0.02652006],"genre_scores_gemma":[0.9956141,0.0003045062,0.001767431,0.0001050843,0.00002852928,0.000006607971,0.0001082651,0.00001239596,0.002053186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001126905,"threshold_uncertainty_score":0.003769934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06402230638338617,"score_gpt":0.3667782223211378,"score_spread":0.3027559159377516,"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."}}