{"id":"W2811459564","doi":"10.4050/f-0074-2018-12774","title":"Bell MissionLink - Customer-Centric HUMS Data Analysis Tool Development","year":2018,"lang":"en","type":"article","venue":"","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell Helicopter Textron (Canada)","funders":"","keywords":"Computer science","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":[0.006068697,0.001186244,0.0004815696,0.002510198,0.0005836054,0.002780369,0.002040462,0.0009053826,0.06552625],"category_scores_gemma":[0.01091697,0.001422021,0.000695421,0.001229157,0.0004543209,0.002573342,0.00238558,0.001956471,0.04051525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009742016,"about_ca_system_score_gemma":0.002760544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003215019,"about_ca_topic_score_gemma":0.003211913,"domain_scores_codex":[0.9965082,0.00051655,0.00018945,0.0004292046,0.002111021,0.0002455144],"domain_scores_gemma":[0.9917486,0.001792301,0.0004292963,0.001215867,0.004188871,0.0006251363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009589033,0.0003127414,0.004164373,0.0005728026,0.0001124803,0.0006467337,0.00145566,0.003463734,0.03785677,0.01307448,0.6201,0.3172815],"study_design_scores_gemma":[0.0002940816,0.0003143702,0.005033052,0.0002192537,0.00003574856,0.0005791592,0.0002751585,0.04083588,0.05273219,0.005630086,0.8939064,0.0001447251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01379671,0.0003121658,0.4101666,0.001197598,0.0003134534,0.001269328,0.02475549,0.4740312,0.07415748],"genre_scores_gemma":[0.1081746,0.0005587539,0.5122527,0.0018162,0.0002452269,0.001811624,0.09899711,0.1307107,0.1454331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06552625,"threshold_uncertainty_score":0.2192071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08836153156024378,"score_gpt":0.2923995182586339,"score_spread":0.2040379866983901,"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."}}