{"id":"W4385195527","doi":"10.1007/978-981-99-0428-0_22","title":"Industrialization of Additive Manufacturing: Assessing the Impact of Excess Margins on Manufacturing Costs","year":2023,"lang":"en","type":"book-chapter","venue":"Smart innovation, systems and technologies","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Design for manufacturability; Manufacturing engineering; Industrialisation; Manufacturing; Engineering; Business; Economics; 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":[0.0007344969,0.0004535381,0.0002955156,0.001133685,0.0001828395,0.002198411,0.0005445962,0.0005538323,0.005899995],"category_scores_gemma":[0.00285789,0.000225703,0.0005167166,0.00172427,0.0004103234,0.001711698,0.0005824732,0.0006885729,0.0006672057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650169,"about_ca_system_score_gemma":0.0006716781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00387358,"about_ca_topic_score_gemma":0.006202885,"domain_scores_codex":[0.9991478,0.0001510597,0.00001824532,0.00008071706,0.0005388097,0.00006339048],"domain_scores_gemma":[0.9980889,0.001262541,0.0002435135,0.00008785651,0.0002725332,0.00004457977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001136377,0.0003181303,0.0811743,0.0008346402,0.0003194455,0.000432933,0.0003281951,0.4024629,0.01395856,0.08581849,0.007443864,0.4057722],"study_design_scores_gemma":[0.00003991198,0.001515504,0.472267,0.0004218286,0.0003656211,0.0006169725,0.001602778,0.3198883,0.0505273,0.09098259,0.06159076,0.0001815578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7280769,0.01440863,0.03166995,0.0008016552,0.0001481016,0.0001145393,0.002182147,0.0001802038,0.2224179],"genre_scores_gemma":[0.9783009,0.002906102,0.005481689,0.00007294866,0.00003527714,0.00003267102,0.0006733561,0.00005849332,0.01243872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005899995,"threshold_uncertainty_score":0.01973742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04064670439391752,"score_gpt":0.2724139458220537,"score_spread":0.2317672414281362,"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."}}