{"id":"W4288084341","doi":"10.1061/9780784484272.024","title":"Application of SPF Large Displacement Type in Vancouver, Canada","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Displacement (psychology); Settlement (finance); Offset (computer science); Subsidence; Geology; Geotechnical engineering; Structural engineering; Engineering; Computer science; Mechanical engineering; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000818213,0.00007150519,0.0001029292,0.00004660132,0.00002894869,0.00000188365,0.0001149404,0.00001658018,0.0001387469],"category_scores_gemma":[0.00001337908,0.00007778189,0.00001640406,0.0002789468,0.000003409117,0.00001431232,0.00005144874,0.0001554739,5.333392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582544,"about_ca_system_score_gemma":0.00003922677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02883771,"about_ca_topic_score_gemma":0.2815402,"domain_scores_codex":[0.9994181,0.000008941365,0.0001692706,0.00008845155,0.0001756843,0.0001395321],"domain_scores_gemma":[0.9997817,0.00002115534,0.00001678108,0.0001437482,0.00001269058,0.00002395163],"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":[0.00000671808,0.00001446889,0.0005120206,0.00004087671,0.000005977291,0.000002060704,0.00002224006,0.9823738,0.001178809,0.0005475098,0.01423522,0.001060271],"study_design_scores_gemma":[0.0003249789,0.00002315318,0.002017937,0.000003551106,0.000006127112,0.00000184437,0.000218132,0.5793698,0.0003098147,0.0003182061,0.4172456,0.000160864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8637789,0.005487798,0.1115374,0.0004260451,0.01174249,0.001037018,0.0004575021,0.0006985186,0.004834309],"genre_scores_gemma":[0.9995065,0.00001843181,0.000102312,0.00002873591,0.00002885948,0.00003869047,0.00003215014,0.00001358614,0.0002307891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4030104,"threshold_uncertainty_score":0.9776294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002904839395363331,"score_gpt":0.184665236285628,"score_spread":0.1817603968902647,"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."}}