{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07033228,0.001463106,0.001125458,0.004622582,0.001949659,0.01305998,0.005367531,0.00387821,0.009898474],"category_scores_gemma":[0.0964104,0.0009846799,0.001535899,0.006031729,0.00441003,0.02073672,0.005539381,0.00569528,0.004144356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004919674,"about_ca_system_score_gemma":0.01393704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004491232,"about_ca_topic_score_gemma":0.002545663,"domain_scores_codex":[0.9151757,0.03155666,0.007559302,0.00492343,0.03894395,0.00184093],"domain_scores_gemma":[0.8951744,0.03062917,0.006568344,0.02940435,0.03669551,0.001528177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006712685,0.0002397114,0.002199068,0.001561654,0.00005406597,0.0001754316,0.001845779,0.00504512,0.002818103,0.5044043,0.0258213,0.4557682],"study_design_scores_gemma":[0.00004671632,0.0003833254,0.003876843,0.006439184,0.00008135925,0.001107468,0.00300835,0.02205463,0.00824109,0.308739,0.6458921,0.0001298526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01736497,0.02225734,0.7885773,0.05977264,0.001780255,0.0008816056,0.0005505473,0.003277007,0.1055383],"genre_scores_gemma":[0.1793043,0.02159526,0.7633122,0.007278481,0.001054682,0.001112116,0.001967178,0.00167121,0.02270461],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07033228,"threshold_uncertainty_score":0.3719571,"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."}}