{"id":"W2385781183","doi":"","title":"3D Design and NC Machining of Pump Lid Part","year":2003,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Machining; Mechanical engineering; Engineering; Engineering drawing; 3d model; Manufacturing engineering; Computer science; Artificial intelligence","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":[0.0002067444,0.0000529967,0.0001080947,0.00003110764,0.00001964929,0.000004048153,0.00003432914,0.0001168474,0.00006302698],"category_scores_gemma":[0.00003269165,0.00004689185,0.0000113374,0.00004868362,0.00001599404,0.00002724224,0.00000366537,0.00008956749,0.000008820766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005236135,"about_ca_system_score_gemma":0.000004873285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005743344,"about_ca_topic_score_gemma":0.00000132147,"domain_scores_codex":[0.9996769,0.0000266055,0.0001143634,0.00005333799,0.00003009189,0.0000987404],"domain_scores_gemma":[0.9998431,0.00004045347,0.00001230972,0.00008130106,0.000006520502,0.0000163765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001211967,0.0001180485,0.02143435,0.000311681,0.001065962,0.00006652594,0.001264897,0.07524539,0.1096762,0.5046852,0.01562474,0.2703858],"study_design_scores_gemma":[0.006266289,0.0005323826,0.000774414,0.0002485643,0.0001546891,0.0001767232,0.0008046576,0.2211376,0.5492964,0.006537392,0.2127941,0.001276791],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3472465,0.002107854,0.3602006,0.0001080832,0.001408783,0.0006943238,0.00000301443,0.001251436,0.2869794],"genre_scores_gemma":[0.9982967,0.00001231835,0.001292815,0.000008864639,0.00002125109,0.000007886174,1.744994e-7,0.000006932653,0.000353063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6510502,"threshold_uncertainty_score":0.1912194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819400999419215,"score_gpt":0.1912432620799995,"score_spread":0.1730492520858074,"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."}}