{"id":"W1982508288","doi":"10.4043/22004-ms","title":"Advancement of CEL Procedures to Analyze Large Deformation","year":2011,"lang":"en","type":"article","venue":"All Days","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Context (archaeology); Pipeline (software); Submarine pipeline; Geotechnical engineering; Pipeline transport; Geology; Keel; Seabed; Deformation (meteorology); Engineering; Marine engineering; Structural engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021722,0.0007302177,0.0003431264,0.001173579,0.0003883096,0.0007566913,0.001110642,0.0006560698,0.006638484],"category_scores_gemma":[0.003425122,0.0003708213,0.0005830292,0.0005858933,0.0008271864,0.0007851757,0.00114242,0.001191725,0.002334846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004195037,"about_ca_system_score_gemma":0.001087233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004123504,"about_ca_topic_score_gemma":0.004120347,"domain_scores_codex":[0.9996631,0.00008084284,0.00002549667,0.00004947152,0.0001479036,0.00003320816],"domain_scores_gemma":[0.9979892,0.0008530775,0.0002221212,0.0002731775,0.0006105675,0.00005191456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001166801,0.0002371875,0.008300354,0.0003574512,0.00009215534,0.0005282881,0.0004830227,0.5333634,0.05457235,0.1369428,0.004288491,0.2607178],"study_design_scores_gemma":[0.000009016811,0.00002169967,0.0003538055,0.0000124825,0.000004903917,0.00004411291,0.00003936376,0.9838085,0.00596173,0.004951199,0.004784773,0.000008465212],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00757808,0.00002494274,0.9878126,0.00003847255,0.00001916644,0.00003587644,0.00007780256,0.001428409,0.002984684],"genre_scores_gemma":[0.2271656,0.0001396659,0.7653425,0.0001018902,0.00004135656,0.000326454,0.0004459996,0.00127838,0.005158226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006638484,"threshold_uncertainty_score":0.02220798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009791217617755268,"score_gpt":0.2083929561764386,"score_spread":0.1986017385586833,"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."}}