{"id":"W4295953300","doi":"10.4050/f-0078-2022-1149","title":"Digital Transformation of a 6000-Year-Old Process","year":2022,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Scrap; Manufacturing engineering; Casting; Process (computing); Engineering; Digital manufacturing; Digital transformation; Computer science; Mechanical engineering; Materials science; Metallurgy","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":[0.001546408,0.0004003208,0.000263776,0.001232098,0.0006736533,0.00316602,0.0005596317,0.0006661656,0.003840843],"category_scores_gemma":[0.001505634,0.0002018742,0.0004097737,0.0009164599,0.001687136,0.002476788,0.001394519,0.001405303,0.002002635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805881,"about_ca_system_score_gemma":0.001385121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001764926,"about_ca_topic_score_gemma":0.00204402,"domain_scores_codex":[0.9986662,0.0001042028,0.00007465224,0.0001676523,0.0008984626,0.00008888641],"domain_scores_gemma":[0.9993215,0.00008612609,0.000045983,0.0001710644,0.0003090775,0.00006634099],"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":[0.0001704682,0.0001784497,0.002141486,0.0005678984,0.00003241772,0.000616529,0.001278404,0.005406956,0.07162491,0.3338412,0.01192647,0.5722148],"study_design_scores_gemma":[0.00001734433,0.0002580939,0.0024618,0.0002547153,0.00004663778,0.001215352,0.000350981,0.006648574,0.06753179,0.02778148,0.8933825,0.00005070609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1654531,0.05130472,0.4126272,0.005881154,0.004183821,0.0003104888,0.0005719429,0.002106098,0.3575614],"genre_scores_gemma":[0.4783419,0.04481521,0.2909534,0.002109512,0.0007409858,0.0001459209,0.001049166,0.0005934795,0.1812504],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003840843,"threshold_uncertainty_score":0.01310271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005189501034919203,"score_gpt":0.1852936851446124,"score_spread":0.1801041841096933,"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."}}