{"id":"W4317564516","doi":"10.1109/ispce54918.2022.10017206","title":"Component Interchangeability for Compliance - Considerations, Challenges and Improvements","year":2022,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Interchangeability; Documentation; Component (thermodynamics); Risk analysis (engineering); Context (archaeology); Leverage (statistics); Computer science; Systems engineering; Engineering; Rework; Safety standards; Reliability engineering; Process 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":[],"consensus_categories":[],"category_scores_codex":[0.0001690728,0.00005717021,0.00007987171,0.00001925493,0.0001074755,0.00001063834,0.00003075053,0.00001221518,0.0001004694],"category_scores_gemma":[0.00002363301,0.00005908877,0.00001691383,0.00001355912,0.00002238064,0.00005944767,0.00004512425,0.00005082809,7.96494e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006083212,"about_ca_system_score_gemma":0.00000392584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006175376,"about_ca_topic_score_gemma":0.00001798892,"domain_scores_codex":[0.9996042,0.00001607599,0.0001108174,0.0001221393,0.00005017157,0.00009663554],"domain_scores_gemma":[0.9997653,0.00006774341,0.00001087435,0.0001058354,0.00002669299,0.00002353989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001898533,0.0006978636,0.0004273059,0.00299191,0.0002575501,0.000003384696,0.01033294,0.3762812,0.0139559,0.3263331,0.02240015,0.2461288],"study_design_scores_gemma":[0.001274756,0.0002385505,0.002254962,0.00001586613,0.00001218156,0.00000867346,0.001596754,0.9259329,0.001133457,0.04605452,0.02119756,0.0002797681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5570545,0.01596973,0.3749736,0.01628843,0.003512398,0.007625422,0.0004360501,0.00197505,0.02216475],"genre_scores_gemma":[0.9922269,0.0003910464,0.006770161,0.0001448432,0.00001245041,0.0003694788,0.00001739078,0.000008846935,0.00005886078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5496517,"threshold_uncertainty_score":0.240957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06537358559369455,"score_gpt":0.2523769830022023,"score_spread":0.1870033974085077,"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."}}