{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000217942,0.00009219913,0.0001802834,0.000219745,0.0002346901,0.0003050105,0.0002350791,0.0002439463,0.001557553],"category_scores_gemma":[0.0002897677,0.0002052089,0.0001405727,0.0001617255,0.0002474751,0.0001667156,0.0001265501,0.0002590021,0.0001896662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004280752,"about_ca_system_score_gemma":0.0002056502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002730764,"about_ca_topic_score_gemma":0.005275696,"domain_scores_codex":[0.9998376,0.00000960097,0.000006014508,0.00003193893,0.00009015669,0.00002468294],"domain_scores_gemma":[0.9998345,0.00002740003,0.00004487736,0.00001528971,0.00006040371,0.00001732792],"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":[0.0001096479,0.0000117773,0.0004561471,0.00001981548,0.000002988734,0.00002752401,0.00003589048,0.0001827015,0.9979903,0.0001164576,0.00005000447,0.0009967983],"study_design_scores_gemma":[0.00001299093,0.0001952948,0.01663852,0.000004536809,0.00001243564,0.00007188394,0.00004597343,0.001726781,0.9802759,0.00002451381,0.000983686,0.000007528376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976991,0.0003302934,0.0007119802,0.0000191228,0.00001572609,0.000004459061,0.0000858378,0.00002346019,0.001110045],"genre_scores_gemma":[0.9980618,0.00006913675,0.00061749,0.000007045043,0.000003263645,0.000003141617,0.0000557594,0.00001174243,0.001170594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002730764,"threshold_uncertainty_score":0.005429804,"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."}}