{"id":"W2901440095","doi":"10.1155/2018/3410146","title":"Probabilistic Prediction of Maximum Tensile Loads in Soil Nails","year":2018,"lang":"en","type":"article","venue":"Advances in Civil Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Probabilistic logic; Ultimate tensile strength; Soil nailing; Structural engineering; Geotechnical engineering; Computer science; Materials science; Forensic engineering; Nail (fastener); Geology; Engineering; Composite material; Artificial intelligence","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":[0.0005620354,0.0005609486,0.0005751487,0.0006964885,0.0001696071,0.0005510348,0.0009366968,0.0006741728,0.0008816326],"category_scores_gemma":[0.002382027,0.0005105471,0.0004586724,0.0003999027,0.0004832918,0.0007532829,0.0004781432,0.0003536172,0.0002311571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006707646,"about_ca_system_score_gemma":0.0005531952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00903107,"about_ca_topic_score_gemma":0.007361514,"domain_scores_codex":[0.9996552,0.00007801018,0.00001690435,0.0000999027,0.0001001413,0.0000498289],"domain_scores_gemma":[0.9990977,0.0004358615,0.0002063638,0.00008837157,0.0001430269,0.00002858122],"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":[0.00001156926,0.000006782489,0.001262221,0.000008316239,0.000004211885,0.00002897442,0.000008312956,0.9956489,0.0008892992,0.0002916918,0.00002947373,0.001810288],"study_design_scores_gemma":[7.414218e-7,0.000005417799,0.0006852321,9.980537e-7,0.000001538844,0.00000460539,0.000002477404,0.9988795,0.0002082445,0.0001867853,0.00002183842,0.000002542504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5543759,0.0001165305,0.4420443,0.00006784676,0.0000165358,0.00004407304,0.0003491215,0.0004736451,0.002512081],"genre_scores_gemma":[0.9955011,0.00004653465,0.003609095,0.000004814853,0.00000292817,0.00001981323,0.0001101612,0.00001706245,0.0006885297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00903107,"threshold_uncertainty_score":0.01795697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004517527683981459,"score_gpt":0.1938804707033156,"score_spread":0.1893629430193341,"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."}}