{"id":"W1937537226","doi":"10.1504/ijplm.2015.070580","title":"An illustrated glossary of ambiguous PLM terms used in discrete manufacturing","year":2015,"lang":"en","type":"article","venue":"International Journal of Product Lifecycle Management","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Glossary; Vocabulary; Product lifecycle; Computer science; Product (mathematics); Process management; Knowledge management; Engineering; New product development; Linguistics; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001338555,0.001892232,0.001498529,0.009381863,0.003321839,0.004416715,0.001661701,0.001964655,0.06138591],"category_scores_gemma":[0.005756338,0.0006558719,0.0009279855,0.01370268,0.002658947,0.006265011,0.002798835,0.003219343,0.023432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002697989,"about_ca_system_score_gemma":0.001909259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006896905,"about_ca_topic_score_gemma":0.009269301,"domain_scores_codex":[0.9985954,0.0003678452,0.0004223823,0.0002206588,0.0003097907,0.00008398059],"domain_scores_gemma":[0.9961318,0.002401524,0.0004253026,0.0003333288,0.0006176949,0.00009031868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001919658,0.00005536989,0.0005571687,0.006584907,0.00003996497,0.001692188,0.007608814,0.0008330877,0.006683334,0.2812225,0.5776666,0.1168642],"study_design_scores_gemma":[0.000006191834,0.00001077901,0.0004013579,0.001487901,0.00001026561,0.0005659432,0.0008121791,0.0001666613,0.0002252513,0.01006487,0.9862263,0.00002234425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0150156,0.1297602,0.1310793,0.01697243,0.01430011,0.002357649,0.08146886,0.003107312,0.6059384],"genre_scores_gemma":[0.1768755,0.1379343,0.3234305,0.02971725,0.006095841,0.006641034,0.1417121,0.007916995,0.1696766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06138591,"threshold_uncertainty_score":0.2053564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494625450558022,"score_gpt":0.2555959642350578,"score_spread":0.2406497097294776,"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."}}