{"id":"W2945769589","doi":"10.36487/acg_rep/1905_11_mcgaughey","title":"Data-driven geotechnical hazard assessment: practice and pitfalls","year":2019,"lang":"en","type":"article","venue":"","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geoscience BC","funders":"","keywords":"Hazard; Geotechnical engineering; Geology; Geotechnical investigation; Hazard analysis; Computer science; Forensic engineering; Engineering; Reliability 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":[0.0001810412,0.00008473315,0.0001070447,0.00002588189,0.00002761045,0.00003594378,0.0001829357,0.00007948165,0.00008316479],"category_scores_gemma":[0.00003864669,0.00007337979,0.00001179748,0.00005087974,0.000003999376,0.0002639333,0.0001744416,0.0002055627,0.0001539499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000153336,"about_ca_system_score_gemma":0.00001277499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006935687,"about_ca_topic_score_gemma":0.000006017697,"domain_scores_codex":[0.9994336,0.00001389751,0.0001128974,0.0001802574,0.0001145784,0.0001447708],"domain_scores_gemma":[0.9993438,0.0001047627,0.0000142954,0.0004606687,0.00001991454,0.00005651778],"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":[0.0000675323,0.000498447,0.001556595,0.00100883,0.001039405,0.0001535775,0.0006303281,0.5698983,0.06769837,0.157117,0.1317449,0.06858675],"study_design_scores_gemma":[0.0002015468,0.00002556281,0.0001664598,0.00001457123,0.00002313982,0.00002935451,0.00007130794,0.8631415,0.0001255727,0.0001019804,0.1359606,0.0001384312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3633228,0.001027341,0.5124959,0.002355176,0.002450149,0.0007774699,0.0001277618,0.003645499,0.1137979],"genre_scores_gemma":[0.9729168,0.0002551431,0.02597729,0.0001628347,0.00005932512,0.000002280821,0.00002775436,0.00002455249,0.0005740644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6095939,"threshold_uncertainty_score":0.2992341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644541872463121,"score_gpt":0.273780919988557,"score_spread":0.2573355012639258,"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."}}