{"id":"W3187858592","doi":"10.32920/ryerson.14662800.v1","title":"Analysis of shear stress on marine piles using shear friction theory","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Engineering Structural Analysis Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pile; Welding; Structural engineering; Geotechnical engineering; Cohesion (chemistry); Shear (geology); Shear stress; Slip (aerodynamics); Engineering; Materials science; Composite material; Mechanical 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004064318,0.0004247517,0.001071592,0.001087871,0.00003433241,0.00006667021,0.0002769702,0.0003367315,0.001196162],"category_scores_gemma":[0.00008300719,0.0003958801,0.0006979456,0.001238396,0.00002994518,0.00006284786,0.0003384787,0.0006499435,0.000001705382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025675,"about_ca_system_score_gemma":0.00002076885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003323173,"about_ca_topic_score_gemma":0.00004786615,"domain_scores_codex":[0.9981436,0.0001705945,0.0005999411,0.0004671756,0.0003568213,0.0002619334],"domain_scores_gemma":[0.9986058,0.0002146798,0.0001090657,0.0008691726,0.0001200591,0.00008116914],"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":[0.000005899284,0.00001552891,0.001376034,0.0003430858,0.005249985,0.000005662655,0.0001214253,0.9831852,0.004399365,0.0005271941,0.000005476904,0.004765131],"study_design_scores_gemma":[0.00006332378,0.0000111396,0.0274806,0.0001394976,0.003519744,0.000001122128,0.0001292183,0.9489326,0.01900152,0.0002970326,0.00001313205,0.0004110069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7124582,0.0002556673,0.2839979,0.000005862359,0.0006110892,0.00009747384,0.00004805842,0.0003235809,0.002202237],"genre_scores_gemma":[0.9121949,0.0002054824,0.08691959,0.000009183035,0.0001352838,0.000008455775,0.0003001541,0.0000715261,0.0001554073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1997367,"threshold_uncertainty_score":0.9998493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883457339452756,"score_gpt":0.2744140920370562,"score_spread":0.2555795186425286,"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."}}