{"id":"W3034363762","doi":"10.2172/1632073","title":"Additive Manufacturing of Stamping Tools for Appliances","year":2020,"lang":"en","type":"report","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; UT-Battelle; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Battelle","keywords":"Stamping; Oak Ridge National Laboratory; Engineering; Quarter (Canadian coin); Ridge; Manufacturing engineering; Engineering drawing; Mechanical engineering; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008606362,0.0006337485,0.0002359488,0.001497598,0.0005724778,0.0008842196,0.0003929789,0.0003507299,0.004807309],"category_scores_gemma":[0.0005790841,0.0002834309,0.0002834244,0.0009122094,0.0002237875,0.0004818288,0.0005917526,0.0005979799,0.002214775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006910915,"about_ca_system_score_gemma":0.0008206915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045334,"about_ca_topic_score_gemma":0.004117321,"domain_scores_codex":[0.9977774,0.0001398719,0.00005804667,0.00008574007,0.001829155,0.0001097535],"domain_scores_gemma":[0.9995204,0.00007413056,0.00004754742,0.00008510781,0.0002351707,0.00003760094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008992587,0.0001518494,0.001065918,0.0007117153,0.00002087973,0.0005084884,0.0002991919,0.002819357,0.6588298,0.01483037,0.03099119,0.2896813],"study_design_scores_gemma":[0.00001150329,0.000317722,0.001884805,0.00006208989,0.00001037638,0.0005279236,0.00006020547,0.001844509,0.6417794,0.0006516096,0.3528285,0.00002135014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1963143,0.02327569,0.2221243,0.001001538,0.001748468,0.001108474,0.003353929,0.00426495,0.5468083],"genre_scores_gemma":[0.4653178,0.01643934,0.239261,0.0002797895,0.0002244883,0.0004885376,0.003918151,0.0005313748,0.2735395],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.004807309,"threshold_uncertainty_score":0.01608211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06433574776846249,"score_gpt":0.278021441523754,"score_spread":0.2136856937552915,"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."}}