{"id":"W2572378363","doi":"10.1590/0370-44672016700089","title":"Revisiting the risk concept in Geotechnics: qualitative and quantitative methods","year":2017,"lang":"en","type":"article","venue":"REM - International Engineering Journal","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"","keywords":"Geotechnics; Computer science; Geology; Geotechnical 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":[0.001876898,0.0001356721,0.0001901984,0.0001489252,0.0002650483,0.0002921725,0.0004154547,0.0000603233,0.00003684127],"category_scores_gemma":[0.001911112,0.0001026632,0.00008572328,0.00006972135,0.00008521579,0.0004004206,0.00005725109,0.0007603594,0.000002060508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220304,"about_ca_system_score_gemma":0.00001328414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004196733,"about_ca_topic_score_gemma":0.00000430103,"domain_scores_codex":[0.9990485,0.0001181202,0.0003285654,0.000123162,0.0001989882,0.0001826592],"domain_scores_gemma":[0.9990024,0.0005126954,0.0001485791,0.0001913429,0.00009286702,0.00005211199],"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":[0.000006443924,0.00000244298,0.000713346,0.00001590586,0.0001776338,0.00001559415,0.003507893,0.939887,0.0008493733,0.00575468,0.00002540426,0.04904427],"study_design_scores_gemma":[0.0002194164,0.00001153004,0.02189395,0.0001408817,0.00002454099,0.0001064852,0.001376593,0.9722067,0.0004644373,0.001936957,0.001459011,0.0001595465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1506405,0.001447532,0.8454972,0.0008426761,0.0006773024,0.00008064965,0.00001458036,0.00005689226,0.0007426112],"genre_scores_gemma":[0.9463918,0.0006759465,0.05256198,0.00001166871,0.0003169079,0.000004517761,0.000001473624,0.00001664338,0.00001910924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7957512,"threshold_uncertainty_score":0.4186484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878638913233485,"score_gpt":0.3698378951676363,"score_spread":0.3510515060353015,"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."}}