{"id":"W4406388251","doi":"10.1016/j.scriptamat.2025.116537","title":"Understanding high coercivity in ThMn12-type Sm–Zr–Fe–Co–Ti permanent magnet powders through nanoscale analysis","year":2025,"lang":"en","type":"article","venue":"Scripta Materialia","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Coercivity; Materials science; Nanoscopic scale; Magnet; Metallurgy; Condensed matter physics; Nanotechnology; Mechanical engineering","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":[0.00008086317,0.0001422307,0.000120429,0.0002499948,0.0001837382,0.0002618229,0.0001774725,0.0002202768,0.001135456],"category_scores_gemma":[0.0001203189,0.0001653575,0.0001010167,0.0001315643,0.0002039167,0.0001985489,0.00007973397,0.0003140976,0.0002209935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021723,"about_ca_system_score_gemma":0.00009764126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154001,"about_ca_topic_score_gemma":0.002474263,"domain_scores_codex":[0.9999342,0.000003327327,0.000003827758,0.0000208412,0.00002476502,0.00001297574],"domain_scores_gemma":[0.9999416,0.00001269342,0.00001894766,0.000004192062,0.00001768088,0.000004973698],"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":[0.00001900185,0.000004069339,0.0004658789,0.00004394278,0.000002277856,0.00004181143,0.00001709327,0.00003465492,0.9984937,0.0001100721,0.0000410933,0.000726327],"study_design_scores_gemma":[0.000006208236,0.00005002128,0.0150901,0.000005669096,0.000008477119,0.0001966433,0.00006327884,0.001501769,0.9812512,0.00006740458,0.001754708,0.000004597174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913363,0.0005470219,0.004390955,0.00008615655,0.00001862928,0.00002459804,0.0005210543,0.0001086946,0.002966462],"genre_scores_gemma":[0.9945808,0.0002223375,0.003746224,0.00002472154,0.00000909831,0.00001739814,0.0003547678,0.00002436841,0.001020296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001154001,"threshold_uncertainty_score":0.003798544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06583253650293286,"score_gpt":0.2839540911769741,"score_spread":0.2181215546740412,"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."}}