{"id":"W4366382554","doi":"10.4050/f-0077-2021-16844","title":"Advanced Manufacturing in Sustainment","year":2021,"lang":"en","type":"article","venue":"","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Original equipment manufacturer; Spare part; Scrap; Production (economics); Production line; Aircraft maintenance; Work (physics); Operations management; Aeronautics; Computer science; Engineering; Mechanical engineering","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":[0.00002078025,0.00004424422,0.00004761705,0.00004444739,0.000006955901,0.000005933263,0.0000391181,0.00002364584,0.0001886873],"category_scores_gemma":[0.00000120288,0.0000464804,0.00001027583,0.00004956493,0.000003456808,0.00004555413,0.00003760835,0.00005727472,0.00001574089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006014654,"about_ca_system_score_gemma":0.000002471717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001031384,"about_ca_topic_score_gemma":0.00004583679,"domain_scores_codex":[0.9997145,0.000002162287,0.00006137411,0.00006767437,0.00003517329,0.0001191079],"domain_scores_gemma":[0.9998803,0.000004249841,0.000002635232,0.0001008351,0.00000236321,0.000009675117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007434923,0.0001820071,0.008505598,0.0003393992,0.0001414606,0.001362887,0.0003162566,0.1536171,0.027973,0.1582941,0.01061412,0.6386467],"study_design_scores_gemma":[0.0008630684,0.00001296485,0.03610179,0.00001951778,0.00000595317,0.000003366106,0.002027971,0.004280024,0.7967066,0.004556163,0.1551422,0.0002803819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8965365,0.0001735512,0.01052698,0.000468195,0.0001837024,0.00007661883,1.929184e-7,0.0005527709,0.09148147],"genre_scores_gemma":[0.995122,0.00007444365,0.003090996,0.00003939313,0.000004825357,0.00001392972,0.000001884473,0.000006007814,0.001646517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7687336,"threshold_uncertainty_score":0.2065993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002431819473776595,"score_gpt":0.1976546471516172,"score_spread":0.1952228276778406,"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."}}