{"id":"W4415927352","doi":"10.15353/hi-am.v1i1.6804","title":"Developing strategies for medium volume production in directed energy deposition additive manufacturing","year":2025,"lang":"","type":"article","venue":"Proceedings of the Holistic Innovation in Additive Manufacturing (HI-AM) Conference","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Volume (thermodynamics); Production (economics); Machining; Production planning; Process (computing); Deposition (geology); Macro; Scalability; Production line","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":[0.002767971,0.0009602879,0.0004965485,0.001667968,0.0009494143,0.004384719,0.002396028,0.0009037343,0.006312136],"category_scores_gemma":[0.003302115,0.0006753716,0.0007870364,0.00124249,0.001360841,0.004473147,0.003729836,0.001529791,0.001748354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002302392,"about_ca_system_score_gemma":0.002349072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777231,"about_ca_topic_score_gemma":0.003949777,"domain_scores_codex":[0.9985393,0.0003913383,0.00007107805,0.0002033547,0.0006261043,0.0001688296],"domain_scores_gemma":[0.9976846,0.0009598088,0.0002314513,0.0004317729,0.0005255858,0.000166789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001479628,0.0003285999,0.002307639,0.0009831693,0.00006192488,0.0005958619,0.001450278,0.1548533,0.06414428,0.424066,0.004438972,0.3466219],"study_design_scores_gemma":[0.00008137932,0.0008245492,0.002064747,0.0006251311,0.0001162814,0.0008974022,0.002114173,0.2900407,0.1270397,0.3480496,0.2280179,0.0001284145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02403443,0.001081795,0.9402802,0.0007059169,0.00008020428,0.0002577007,0.00006159113,0.0005762496,0.03292197],"genre_scores_gemma":[0.2790031,0.001982829,0.707443,0.0001920443,0.00003062662,0.0003611489,0.0002347328,0.0003131542,0.0104394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006312136,"threshold_uncertainty_score":0.0211162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874250581362769,"score_gpt":0.2614883131183756,"score_spread":0.2327458073047479,"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."}}