{"id":"W4389550563","doi":"10.12783/shm2023/36819","title":"ASSESSING THE PERFORMANCE CVM SENSORS FOR MONITORING THE 737 AFT PRESSURE BULKHEAD","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Certification; Structural health monitoring; Bulkhead (partition); Computer science; Reliability engineering; Engineering; Interrogation; Systems 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":[0.0002770217,0.0001400833,0.0001116366,0.00007533942,0.000371747,0.0001397581,0.0004974328,0.00008915434,0.00001212157],"category_scores_gemma":[0.0001995921,0.00007814842,0.00005195515,0.0005138371,0.00009191519,0.0002565611,0.0001197566,0.0003985302,0.00007156463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003890573,"about_ca_system_score_gemma":0.000008244687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003832107,"about_ca_topic_score_gemma":0.000001296002,"domain_scores_codex":[0.9988922,0.0000167499,0.0001479193,0.0001657398,0.0002497614,0.000527602],"domain_scores_gemma":[0.9988224,0.0005600858,0.0000170958,0.0005184764,0.00005531784,0.00002663787],"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":[0.000005042504,0.000004976773,0.002668309,0.0002119286,0.00008234239,0.000004283316,0.0003706881,0.9033425,0.03775935,0.0002360818,0.003594273,0.0517202],"study_design_scores_gemma":[0.0001541104,0.00002161466,0.007373198,0.00003776155,0.00001287792,0.000005412149,0.003507518,0.7865711,0.1549443,0.0001485266,0.04703566,0.0001878737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891976,0.0003492266,0.0032104,0.001059906,0.000477356,0.0005710829,0.000005091346,0.002706008,0.002423317],"genre_scores_gemma":[0.9943984,0.0003319156,0.001551346,0.000007613624,0.0001994826,0.0001563898,0.000001627853,0.00005250397,0.00330078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117185,"threshold_uncertainty_score":0.31868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05167637698863114,"score_gpt":0.3487710941283541,"score_spread":0.2970947171397229,"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."}}