{"id":"W2486498613","doi":"10.1007/978-3-319-41697-7_30","title":"Managing OHS in Complex and Unpredictable Manufacturing Systems: Can FRAM Bring Agility?","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Risk analysis (engineering); Resilience (materials science); Risk management; Computer science; Business; Process management; Systems engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001858146,0.0004224522,0.000957893,0.0005168295,0.0005779206,0.00004875984,0.0002370606,0.0003779549,0.00005159856],"category_scores_gemma":[0.0000730469,0.0003684376,0.00004713517,0.00006317489,0.000123587,0.0001946501,0.000430033,0.001307448,0.0000311455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006793584,"about_ca_system_score_gemma":0.0001646246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002357385,"about_ca_topic_score_gemma":0.001025538,"domain_scores_codex":[0.9957241,0.0003134398,0.001706547,0.0007857429,0.000482661,0.0009874686],"domain_scores_gemma":[0.9966844,0.002026306,0.0005546311,0.0003406094,0.0001219697,0.0002721064],"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":[0.000360868,0.00005234069,0.1849422,0.04711835,0.0001188775,0.0002218271,0.004688557,0.01217051,0.000005530545,0.2957885,0.0001977953,0.4543346],"study_design_scores_gemma":[0.002684763,0.0003165016,0.02690713,0.1071101,0.00004211246,0.00009179734,0.0099457,0.1098488,0.000006023368,0.0226425,0.7182448,0.002159764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01605025,0.1241038,0.01059064,0.0005889928,0.005577031,0.007647804,0.0002437759,0.0002392761,0.8349584],"genre_scores_gemma":[0.9518496,0.01714749,0.0001194219,0.0001169781,0.000947018,0.00008665432,0.00004979234,0.00008834076,0.02959469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9357994,"threshold_uncertainty_score":0.9998767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06729814462120823,"score_gpt":0.4042007741331494,"score_spread":0.3369026295119412,"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."}}