{"id":"W4321500294","doi":"10.3390/mi14030508","title":"Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects","year":2023,"lang":"en","type":"review","venue":"Micromachines","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McMaster University","funders":"","keywords":"Subtractive color; Process (computing); Computer science; Overfitting; Machining; Manufacturing engineering; Systems engineering; Artificial intelligence; Industrial engineering; Machine learning; Engineering; Artificial neural network; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001612292,0.0005236755,0.001377733,0.0002182025,0.00006531504,0.00002876152,0.0002023918,0.0001951325,0.00001062382],"category_scores_gemma":[0.0001360595,0.0004074589,0.0001975376,0.0001351222,0.0001320155,0.0000609989,0.0001956657,0.0005068526,0.000005083918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003983391,"about_ca_system_score_gemma":0.00002840252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005579288,"about_ca_topic_score_gemma":0.000003692557,"domain_scores_codex":[0.9986195,0.00003325877,0.000509061,0.000424221,0.00008181568,0.0003321713],"domain_scores_gemma":[0.9989444,0.0004425933,0.0002431269,0.0002649954,0.00004489371,0.00005996901],"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":[0.000001166648,0.000006338484,6.640478e-7,0.2187458,0.0001196473,0.00000132501,0.00003312805,1.331974e-7,4.900417e-7,0.000082677,0.0007413562,0.7802672],"study_design_scores_gemma":[0.00004251472,0.00003483433,0.00003954068,0.07927117,0.0003183837,0.0000164403,0.00002563687,0.000007505704,0.001086313,0.0004898589,0.9182904,0.0003773845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001086094,0.9963299,0.0001149013,0.0000157257,0.0003664236,0.001287038,0.001203941,0.0005224926,0.00005095021],"genre_scores_gemma":[0.00003138536,0.9985388,0.000592829,0.000004855104,0.0002069102,0.0002753965,0.0002365995,0.00009560962,0.0000176002],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9175491,"threshold_uncertainty_score":0.9998378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664254410855887,"score_gpt":0.3215429637962557,"score_spread":0.2849004196876968,"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."}}