{"id":"W4255474679","doi":"10.32920/ryerson.14653245.v1","title":"An Open Product Lifecycle Management System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Product lifecycle; Product data management; Product management; Application lifecycle management; Process management; System lifecycle; Configuration Management (ITSM); Product design specification; Systems engineering; Process (computing); Product (mathematics); Computer science; New product development; Knowledge management; Engineering; Engineering management; Product design; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003012077,0.0008286036,0.0006328549,0.002645626,0.0008194442,0.004813536,0.001877766,0.001221572,0.02259791],"category_scores_gemma":[0.005554956,0.0006081898,0.0006908831,0.002214914,0.0003782275,0.004479198,0.00365852,0.001431995,0.01833415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008856091,"about_ca_system_score_gemma":0.001453085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111209,"about_ca_topic_score_gemma":0.0007529749,"domain_scores_codex":[0.997906,0.0003629468,0.0003444731,0.0003937658,0.0008645957,0.0001282565],"domain_scores_gemma":[0.9973265,0.0005743378,0.0002984981,0.001036244,0.0005921622,0.000172162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006372855,0.0006356594,0.005334402,0.001013591,0.0001122497,0.000846581,0.0008601275,0.01285861,0.01639078,0.07736058,0.1678962,0.716054],"study_design_scores_gemma":[0.000164492,0.0001512932,0.003313451,0.000198193,0.00005031959,0.000417565,0.000120611,0.06313736,0.01237475,0.02841201,0.8915479,0.0001120008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01141682,0.0007610762,0.6909252,0.0009668444,0.0002302991,0.001252994,0.01362868,0.1975598,0.08325824],"genre_scores_gemma":[0.2073791,0.002097079,0.5690104,0.001458552,0.0003743907,0.003364934,0.1064218,0.01340688,0.09648685],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02259791,"threshold_uncertainty_score":0.07559752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376220198942245,"score_gpt":0.2338131168154033,"score_spread":0.2200509148259808,"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."}}