{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001723034,0.001097057,0.001889199,0.005470281,0.0005021368,0.003068082,0.001380864,0.002000549,0.005617697],"category_scores_gemma":[0.003809055,0.0005039861,0.001264739,0.00638681,0.001024566,0.003746946,0.001092857,0.002125347,0.001652792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316706,"about_ca_system_score_gemma":0.003500986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018733,"about_ca_topic_score_gemma":0.002659342,"domain_scores_codex":[0.999027,0.0002175702,0.0001970732,0.0001331919,0.000355867,0.00006923945],"domain_scores_gemma":[0.9954072,0.003360194,0.0003643205,0.00008336741,0.0006542975,0.0001305925],"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":[0.0000661557,0.00006521378,0.0003368428,0.07356558,0.0002135306,0.0002724524,0.0003399795,0.0005242688,0.0009077245,0.01459941,0.04544007,0.8636688],"study_design_scores_gemma":[0.00001179944,0.00008858917,0.001239,0.03040648,0.0002804152,0.0009166256,0.0003326804,0.0001859545,0.0002760175,0.008427552,0.9577926,0.0000422099],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009479181,0.9975823,0.00021851,0.0007452821,0.0003092195,0.000004191678,0.00001893792,0.00000781978,0.001018894],"genre_scores_gemma":[0.0007051034,0.9979172,0.0003074006,0.000481915,0.0003338212,0.00000638076,0.00002777659,0.000002368972,0.000217945],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005617697,"threshold_uncertainty_score":0.01879311,"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."}}