{"id":"W4415927567","doi":"10.15353/hi-am.v1i1.6799","title":"Influence of process parameters on the density and magnetic properties of laser powder bed fusion NdFeB magnets","year":2025,"lang":"","type":"article","venue":"Proceedings of the Holistic Innovation in Additive Manufacturing (HI-AM) Conference","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Waterloo","funders":"FedDev Ontario; University of Waterloo; Mitacs","keywords":"Neodymium magnet; Magnet; Remanence; Coercivity; Selective laser sintering; Microstructure; Process (computing); Pressing; Fusion; Laser","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001543945,0.000644524,0.0009250824,0.0006964723,0.0003324957,0.0002192228,0.001619481,0.0002702944,0.0002792984],"category_scores_gemma":[0.006168119,0.0004310957,0.00008596508,0.001350866,0.002946554,0.0005237945,0.001093052,0.0006858645,0.00000599117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365026,"about_ca_system_score_gemma":0.0004463337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003830421,"about_ca_topic_score_gemma":0.00001565968,"domain_scores_codex":[0.9951464,0.0001241848,0.002078197,0.0009266381,0.001086241,0.0006383203],"domain_scores_gemma":[0.9934922,0.0004608822,0.002099694,0.0005320027,0.003353328,0.00006183419],"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":[0.001932373,0.0005480145,0.004404147,0.006920601,0.00008477384,0.000001994293,0.007445741,0.000759516,0.9394014,0.03356772,0.0002698134,0.004663895],"study_design_scores_gemma":[0.0008080337,0.0004490479,0.09129983,0.005692775,0.0001041003,0.000004713143,0.001827491,0.000526489,0.8895628,0.009319982,0.00003057142,0.0003741815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940617,0.00009293777,0.00001518292,0.001500518,0.0003202375,0.002010349,0.0000966985,0.00002865366,0.001873739],"genre_scores_gemma":[0.9984664,0.00009196261,0.0002280445,0.0004519424,0.00002561302,0.0001546257,0.00000326728,0.00002972227,0.0005484692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08689569,"threshold_uncertainty_score":0.9998141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005569140251732,"score_gpt":0.2439739514956634,"score_spread":0.2139182600931461,"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."}}