{"id":"W4315481960","doi":"10.1016/j.rcim.2022.102523","title":"Proposed integrated FRAM/STPA risk analysis of data gloves in assembly 4.0 system","year":2023,"lang":"en","type":"article","venue":"Robotics and Computer-Integrated Manufacturing","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"Risk analysis (engineering); Context (archaeology); Computer science; Process (computing); Systems engineering; Reliability engineering; Engineering; Business","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001374361,0.0003746029,0.0008528421,0.001810183,0.0001666275,0.0005212765,0.0007958026,0.0001503984,0.00001328348],"category_scores_gemma":[0.00004240814,0.0003160521,0.0001314977,0.002614627,0.00005984812,0.0009340499,0.0008401315,0.0003237709,0.00005194827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006358445,"about_ca_system_score_gemma":0.00002445117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00860449,"about_ca_topic_score_gemma":0.00194537,"domain_scores_codex":[0.9974245,0.00009102007,0.0008773773,0.0007501642,0.0003861529,0.0004708017],"domain_scores_gemma":[0.998275,0.0001429062,0.0005797667,0.0008491183,0.0001206911,0.00003247211],"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":[0.0002997971,0.0006926634,0.08998722,0.007503279,0.00748459,0.0004483587,0.0007297611,0.7105376,0.0003740813,0.08298265,0.006267047,0.09269302],"study_design_scores_gemma":[0.0005389356,0.00001774585,0.04635038,0.000403437,0.0007783716,9.659908e-7,0.001376022,0.9472228,0.0001196254,0.0001886497,0.002646016,0.0003570973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8725516,0.00007338472,0.1239219,0.0002290712,0.0007464488,0.0006986407,0.00008990974,0.0006790899,0.001009995],"genre_scores_gemma":[0.9968393,0.00005564582,0.001675679,0.00009286546,0.0002255789,0.000006740272,0.0009581736,0.00003637388,0.0001096631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2366852,"threshold_uncertainty_score":0.9999291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587632211773985,"score_gpt":0.2518704845434432,"score_spread":0.2159941624257034,"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."}}