{"id":"W2244895579","doi":"10.1007/978-1-4471-5073-2_2","title":"A Review of Data Representation of Product and Process Models","year":2013,"lang":"en","type":"review","venue":"Springer series in advanced manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Process (computing); Product (mathematics); Process modeling; Systems engineering; Product engineering; New product development; Representation (politics); Product design; Software engineering; Manufacturing engineering; Engineering; Work in process; Mathematics; Operations management; Business","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001936349,0.0004136178,0.001583919,0.0002485187,0.00002119936,0.00001872436,0.0005608302,0.0001129474,0.00002399591],"category_scores_gemma":[0.00006540355,0.0003764738,0.00007499781,0.0002314321,0.00006205073,0.001522626,0.0003029006,0.0002891098,9.696104e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004218344,"about_ca_system_score_gemma":0.00004046087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001201472,"about_ca_topic_score_gemma":0.000005504124,"domain_scores_codex":[0.9979077,0.00003342694,0.001049912,0.0005649159,0.0001980689,0.0002459911],"domain_scores_gemma":[0.9983575,0.0000514648,0.0004513542,0.001037124,0.00005660221,0.00004589801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002209069,0.000007042873,4.971832e-7,0.3910826,0.00003243061,7.48183e-7,0.00004988714,0.01673501,0.000001015215,0.00001221997,0.000008762948,0.5920676],"study_design_scores_gemma":[0.0004916855,0.00005610957,0.00001390148,0.6075086,0.0006733802,0.00004940633,0.00008772872,0.00407459,0.01983753,0.001500558,0.3639651,0.001741415],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008504184,0.9966929,0.001179397,0.000004508101,0.0001440673,0.001279635,0.0000388997,0.00008910564,0.0004864307],"genre_scores_gemma":[0.0002674557,0.9893772,0.009870999,0.000003897374,0.00003430197,0.0001840451,0.0001443426,0.00008467725,0.00003310254],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5903262,"threshold_uncertainty_score":0.9998687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05825300957004828,"score_gpt":0.3285934562120821,"score_spread":0.2703404466420338,"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."}}