{"id":"W2953640461","doi":"","title":"Numerical analysis of pipeline uplift resistance in a frozen clay soil subjected to temperature changes","year":2018,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Geotechnical engineering; Settlement (finance); Geology; Soil water; Effective stress; Pipeline transport; Plasticity; Pore water pressure; Materials science; Environmental science; Soil science; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002460284,0.0004366619,0.0005707456,0.0006157641,0.0006295831,0.000825359,0.0006128638,0.001564163,0.001910091],"category_scores_gemma":[0.0008208429,0.0002992561,0.0007153054,0.000459098,0.000924649,0.0003762552,0.0005398853,0.0004973365,0.0001364169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005670724,"about_ca_system_score_gemma":0.0006758712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253643,"about_ca_topic_score_gemma":0.01128901,"domain_scores_codex":[0.9998562,0.00002420473,0.000008741295,0.00002679089,0.00003606584,0.0000479076],"domain_scores_gemma":[0.9995207,0.0002512895,0.00007983218,0.00001995797,0.00008241677,0.00004578888],"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":[0.00007845028,0.00005996755,0.004209769,0.00005320533,0.0000197481,0.0003089998,0.00006416099,0.9879346,0.004500944,0.0006593651,0.0002036713,0.001907088],"study_design_scores_gemma":[0.00000697734,0.00002798844,0.001069557,0.000006179464,0.000005448176,0.00001510289,0.00005382466,0.9981592,0.0004222704,0.0001138953,0.0001126517,0.000006861886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709061,0.0003033273,0.01620924,0.00032841,0.00006589218,0.00005316965,0.0003878327,0.0001668347,0.0115793],"genre_scores_gemma":[0.9940977,0.000108443,0.003581594,0.00003389816,0.000007494633,0.00003732334,0.0001428051,0.00001617335,0.001974508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02253643,"threshold_uncertainty_score":0.04481047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654044585356902,"score_gpt":0.2740988361727825,"score_spread":0.2475583903192135,"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."}}