{"id":"W1969203695","doi":"10.1007/s00170-012-3929-2","title":"Nonrigid parts’ specification and inspection methods: notions, challenges, and recent advancements","year":2012,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université de Sherbrooke","funders":"École de technologie supérieure","keywords":"Geometric dimensioning and tolerancing; Dimensioning; Standardization; Engineering drawing; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003192512,0.0001213316,0.0001379466,0.0002640445,0.00006637259,0.00002455855,0.0002202661,0.0000719446,0.00001442404],"category_scores_gemma":[0.00006004245,0.00009475093,0.00001999082,0.00004325208,0.00006255006,0.0004408053,0.00007022551,0.0002465383,0.000001827426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006749,"about_ca_system_score_gemma":0.000005388289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.151556e-7,"about_ca_topic_score_gemma":0.000002030601,"domain_scores_codex":[0.9992679,0.00001947209,0.000298631,0.00009622834,0.0001615666,0.0001562467],"domain_scores_gemma":[0.9994887,0.00005601834,0.000188099,0.0001230298,0.0000987094,0.00004543714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004534558,0.00003725512,0.00009262973,0.00002852643,0.0001089575,0.000001917121,0.0004243579,0.01526665,0.003195495,0.003241489,0.00004758148,0.9775098],"study_design_scores_gemma":[0.001192224,0.0001227524,0.01507985,0.0001517081,0.00006093366,0.0006358075,0.001148358,0.001437386,0.7075333,0.02237585,0.2499057,0.0003561616],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7729774,0.05041442,0.1629624,0.007821,0.003758284,0.000312122,0.000004479834,0.0004342014,0.001315781],"genre_scores_gemma":[0.8590457,0.09613784,0.04453139,0.00003557475,0.0002047215,0.00000969126,0.000002231389,0.00001811815,0.00001471494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9771537,"threshold_uncertainty_score":0.3863831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363836515933697,"score_gpt":0.2850317877300979,"score_spread":0.2613934225707609,"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."}}