{"id":"W4375856756","doi":"10.1080/13669877.2023.2208121","title":"Lost in translation: inadequate non-technical risk assessment within major project teams in mining","year":2023,"lang":"en","type":"article","venue":"Journal of Risk Research","topic":"Mining and Resource Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Mitacs","keywords":"CLARITY; Business; Risk management; Sustainability; Risk assessment; Process (computing); Project management; Nexus (standard); Knowledge management; Process management; Environmental resource management; Computer science; Management; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.009072074,0.0001195879,0.0002741477,0.00183114,0.00007739937,0.00007645266,0.0003089128,0.0001103036,0.00002307915],"category_scores_gemma":[0.0002893585,0.00009853163,0.00007411055,0.001898662,0.0000508289,0.0001100335,0.00007030699,0.001923076,0.00003300894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073205,"about_ca_system_score_gemma":0.0001283175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001856778,"about_ca_topic_score_gemma":0.0003372175,"domain_scores_codex":[0.997416,0.0003974185,0.0006683308,0.0001517494,0.0009063755,0.0004601098],"domain_scores_gemma":[0.9990034,0.0005491485,0.0001090949,0.0001773127,0.00007709442,0.00008393321],"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":[0.000263872,0.0002526095,0.1894619,0.0004155356,0.0001548076,0.001802584,0.01991528,0.6333545,0.001205822,0.00006022595,0.01423013,0.1388827],"study_design_scores_gemma":[0.003845391,0.000626664,0.3759943,0.001226537,0.00003561838,0.00004809076,0.01510549,0.5957118,0.0003669837,0.0003475318,0.006327739,0.0003638166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933763,0.0002303138,0.0006817139,0.0002778131,0.0001401328,0.0002701055,0.000004860779,0.00003569641,0.004983097],"genre_scores_gemma":[0.9946182,0.0009970359,0.00402303,0.000002592516,0.0001333398,0.00001607667,0.000001824544,0.00003172148,0.0001761894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1865324,"threshold_uncertainty_score":0.8354913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05837963040946546,"score_gpt":0.3752268526395674,"score_spread":0.3168472222301019,"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."}}