{"id":"W2493144791","doi":"10.1109/aero.2016.7500930","title":"PHM for astronauts: Elaborating and refining the concept","year":2016,"lang":"en","type":"article","venue":"","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Crew; Risk analysis (engineering); Systems engineering; Decision support system; Informatics; Engineering; Health technology; Computer science; Health care; Aeronautics; Business; Electrical 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":[0.0001599411,0.00004347567,0.00007557603,0.00001666379,0.0001004854,0.000002830316,0.00002567622,0.00005838197,0.00001677507],"category_scores_gemma":[0.0002699887,0.00001930263,0.00001129239,0.00003879365,0.00006598145,0.00003127875,0.00001516933,0.00006670447,0.000003437902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001379917,"about_ca_system_score_gemma":0.00003123788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009545643,"about_ca_topic_score_gemma":0.000004944036,"domain_scores_codex":[0.9996216,0.00001178164,0.00009856145,0.00009369404,0.00004311178,0.0001312158],"domain_scores_gemma":[0.9995242,0.0002625143,0.00002763605,0.0001059945,0.00004649402,0.00003313051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005669848,0.00001031839,0.1664983,0.00002535278,0.00002452903,0.000001876034,0.0004088237,1.004164e-7,0.008237865,0.02500121,0.001269838,0.7984651],"study_design_scores_gemma":[0.01459912,0.006111367,0.1771183,0.002446473,0.0002038905,0.0001562867,0.01047912,0.0003287099,0.1606745,0.003325701,0.6238468,0.0007098078],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558182,0.0003819927,0.009704388,0.03156045,0.0002212059,0.0002430945,0.00000624834,0.0001763875,0.001887988],"genre_scores_gemma":[0.9929659,0.000009883305,0.005285853,0.0004073066,0.0001382494,0.00002776966,0.000001111081,0.000005686013,0.001158234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7977552,"threshold_uncertainty_score":0.07871383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345242965611119,"score_gpt":0.331367196663532,"score_spread":0.2979147670074208,"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."}}