{"id":"W4396769571","doi":"10.1061/geosek.0000537","title":"Innovative Geotechnical Forensic Evaluations","year":2024,"lang":"en","type":"article","venue":"GEOSTRATA Magazine","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Forensic science; Geotechnical engineering; Forensic engineering; Geology; Engineering; Geography; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008647136,0.001061902,0.0003926232,0.00756332,0.003230032,0.007953596,0.001700224,0.003618882,0.0275503],"category_scores_gemma":[0.01655104,0.0005188697,0.0004936179,0.001963003,0.002588594,0.005840777,0.005149732,0.002164403,0.009581234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699483,"about_ca_system_score_gemma":0.003654611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116716,"about_ca_topic_score_gemma":0.004697126,"domain_scores_codex":[0.9928174,0.001774347,0.0002433378,0.0004481841,0.004202237,0.0005145599],"domain_scores_gemma":[0.9869252,0.002908177,0.0007951165,0.001463568,0.007243914,0.0006639998],"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":[0.0001224791,0.0002200509,0.005263961,0.0002926874,0.00003672106,0.00127304,0.001831292,0.001281683,0.005968389,0.1116253,0.1712527,0.7008316],"study_design_scores_gemma":[0.00003413036,0.0002184959,0.008067128,0.001141724,0.00009381041,0.006314666,0.00720534,0.006777159,0.01932324,0.1321751,0.8185499,0.00009932252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04379166,0.008361027,0.1297518,0.03598112,0.00480518,0.0004401448,0.0006619869,0.001618742,0.7745884],"genre_scores_gemma":[0.4737701,0.01313087,0.109296,0.009290296,0.003906876,0.0002823991,0.001357344,0.0006922735,0.3882738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0275503,"threshold_uncertainty_score":0.09216499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323419961560653,"score_gpt":0.2567563792937805,"score_spread":0.243522179678174,"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."}}