{"id":"W4414521246","doi":"10.1016/j.jallcom.2025.183992","title":"Microstructure and magnetic properties of additively manufactured NdFeB magnets by cold spray","year":2025,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Natural Resources Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; University of Toronto","keywords":"Neodymium magnet; Coercivity; Microstructure; Remanence; Magnet; Sintering; Demagnetizing field","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003159995,0.0002131432,0.0004732287,0.0001249229,0.0001079854,0.0001657714,0.0003268285,0.0001052618,0.0002736387],"category_scores_gemma":[0.00006107207,0.0001494341,0.00006448095,0.00008227583,0.0004357883,0.0002050266,0.0001684117,0.0001971806,0.000001675097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002515318,"about_ca_system_score_gemma":0.0001126597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004945001,"about_ca_topic_score_gemma":0.00001438063,"domain_scores_codex":[0.9985693,0.00008441989,0.0005942393,0.0002095585,0.0003001221,0.0002423763],"domain_scores_gemma":[0.9990842,0.00005493884,0.0003449878,0.0001694832,0.0002308793,0.0001155417],"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":[0.0002792296,0.00005611029,0.0002303547,0.0001750088,0.00002634453,0.000009833985,0.0002276715,0.000002332537,0.9801859,0.0002031349,0.01742258,0.001181531],"study_design_scores_gemma":[0.001666364,0.001279457,0.008297588,0.0004098816,0.0001102196,0.0001978197,0.0003060546,0.00001934971,0.9321179,0.0005839824,0.05476593,0.0002454046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783,0.01882071,0.00002799183,0.001274461,0.0003508225,0.0001569743,0.00003798285,0.00001088665,0.001020204],"genre_scores_gemma":[0.9955431,0.0005054817,0.001518418,0.0004378069,0.00005436176,0.000002813945,0.000001040003,0.00001239767,0.001924592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04806791,"threshold_uncertainty_score":0.6093745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005342256379714977,"score_gpt":0.1914971328286472,"score_spread":0.1861548764489322,"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."}}