{"id":"W4413954183","doi":"10.1021/acsnano.5c12920","title":"Large Anomalous Hall Effect in a Nanocrystalline Room-Temperature Ferromagnetic CoCrFeNiGa High-Entropy Alloy","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Air Force Office of Scientific Research; Basic Energy Sciences; Tohoku University; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; Ministry of Education, Culture, Sports, Science and Technology; Research Corporation for Science Advancement","keywords":"Ferromagnetism; Nanocrystalline material; Materials science; Condensed matter physics; Alloy; Hall effect; Nanotechnology; Metallurgy; Magnetic field; Physics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002170702,0.0004540324,0.0006221791,0.0002989157,0.0001252332,0.00007480013,0.00036721,0.0002498923,0.00007205264],"category_scores_gemma":[0.0001135752,0.0004269767,0.0001097683,0.000747029,0.00003972201,0.000128701,0.0001599105,0.0004146411,0.0001132816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448059,"about_ca_system_score_gemma":0.00004392339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006689709,"about_ca_topic_score_gemma":0.0005094329,"domain_scores_codex":[0.9979658,0.0001160633,0.0004355833,0.0004279742,0.0002438335,0.0008107857],"domain_scores_gemma":[0.9991512,0.0001766046,0.00003451839,0.0004955977,0.00005438975,0.00008772793],"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":[0.0001882882,0.0003120379,0.01713461,0.0008324682,0.0004817868,0.0006804145,0.0008797091,0.01048791,0.921579,0.007388721,0.03982998,0.0002050797],"study_design_scores_gemma":[0.04303179,0.003657335,0.2104958,0.003040374,0.001052418,0.0001066012,0.0006255742,0.02876739,0.4496102,0.003854314,0.2492184,0.006539716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991688,0.004435014,0.00009258045,0.0004293189,0.0009035766,0.0005928891,0.00003932274,0.0005479123,0.001271368],"genre_scores_gemma":[0.9956241,0.00039285,0.0002872557,0.0002027816,0.0001057425,0.0001440245,0.0000557032,0.00007049074,0.003117009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4719688,"threshold_uncertainty_score":0.9998182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002421458541920083,"score_gpt":0.1988710150636497,"score_spread":0.1964495565217296,"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."}}