{"id":"W2068497585","doi":"10.1007/s12541-013-0202-z","title":"Development of process design program for manufacture of desired shapes using line array roll set (LARS) process","year":2013,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Process (computing); Line (geometry); Set (abstract data type); Engineering drawing; Engineering; Manufacturing engineering; Mechanical engineering; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002947369,0.0002444542,0.0003763303,0.0004016618,0.00003787004,0.00006967044,0.0003417229,0.0001158513,0.00002708916],"category_scores_gemma":[0.00007576631,0.0002098832,0.00008917917,0.0000579887,0.000018101,0.0004697495,0.00002742072,0.0001728913,3.343717e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005790996,"about_ca_system_score_gemma":0.0000538173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000182302,"about_ca_topic_score_gemma":4.369121e-7,"domain_scores_codex":[0.998315,0.000009598907,0.0008661331,0.0001569512,0.0004451069,0.0002072488],"domain_scores_gemma":[0.9988756,0.000119259,0.0003794432,0.0000760495,0.0004509634,0.00009870876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006567086,0.00004433954,0.00001441918,0.000581592,0.0001823183,0.000001399617,0.0009900667,0.9265124,0.01842302,0.000002117589,0.000007779247,0.05317486],"study_design_scores_gemma":[0.0005886886,0.00007117314,0.0004237734,0.0005373784,0.00003060264,0.00003044635,0.0001119003,0.254885,0.7426582,0.0002434334,0.000241906,0.0001775134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.515323,0.0001613616,0.4839325,0.000009129927,0.0002238294,0.0002939816,0.000005188449,0.00004077025,0.00001018896],"genre_scores_gemma":[0.7838373,0.0000483403,0.2159441,0.000003451011,0.00009259497,0.00002790109,0.000005529862,0.00003557813,0.00000522075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7242352,"threshold_uncertainty_score":0.8558788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514101112127881,"score_gpt":0.2764773977279968,"score_spread":0.251336386606718,"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."}}