{"id":"W4392389139","doi":"10.1002/9781394150335.ch14","title":"Machine Learning in 3D Printing","year":2024,"lang":"en","type":"other","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"3D printing; Computer science; Artificial intelligence; Engineering drawing; Engineering; 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":[0.001212848,0.0007048039,0.0009911422,0.001118743,0.0004246722,0.00290159,0.001425432,0.001903802,0.005900378],"category_scores_gemma":[0.003794202,0.0004924327,0.001040393,0.00194743,0.001505247,0.001682733,0.001592962,0.002308382,0.003119943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009529055,"about_ca_system_score_gemma":0.0007630432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927948,"about_ca_topic_score_gemma":0.00133099,"domain_scores_codex":[0.9989022,0.0002808523,0.00007158096,0.0002461498,0.0004378625,0.00006131222],"domain_scores_gemma":[0.9983569,0.001065158,0.0001070224,0.0001988241,0.0002282397,0.00004384769],"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":[0.00005917848,0.00007289317,0.001383381,0.001102976,0.0001136935,0.0002181428,0.0002020222,0.2468469,0.003437721,0.1755965,0.02549405,0.5454727],"study_design_scores_gemma":[0.00001371882,0.00007262619,0.001254219,0.0004017322,0.00002936623,0.0003072658,0.00007551187,0.6539747,0.003840707,0.1974961,0.1424579,0.00007616787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004577185,0.04839696,0.9152346,0.003167324,0.001221502,0.00008203137,0.0004963453,0.001752149,0.02507198],"genre_scores_gemma":[0.2493961,0.1154843,0.5803418,0.001704193,0.003971868,0.0005952889,0.00312116,0.0006530731,0.04473216],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005900378,"threshold_uncertainty_score":0.01973873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009673540464728184,"score_gpt":0.2134331467447359,"score_spread":0.2037596062800077,"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."}}