{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002774979,0.0003530069,0.0002169704,0.0009854636,0.002627787,0.001180123,0.0006855756,0.0005941704,0.002989716],"category_scores_gemma":[0.001015685,0.000227023,0.0002557298,0.001874334,0.0007181752,0.000295093,0.0007963842,0.0003922248,0.0003207787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01572156,"about_ca_system_score_gemma":0.01893071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9624829,"about_ca_topic_score_gemma":0.985422,"domain_scores_codex":[0.9995048,0.00003190729,0.00001738944,0.00006753937,0.0002450507,0.0001333019],"domain_scores_gemma":[0.9994288,0.00005828537,0.00002836471,0.00002867931,0.000382478,0.00007336801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005699677,0.0007464156,0.2628527,0.0006774591,0.0000824938,0.0126453,0.003917785,0.2350983,0.04447704,0.01857018,0.02580255,0.3945599],"study_design_scores_gemma":[0.0002027075,0.0009862598,0.5135326,0.00028074,0.00008842516,0.004044985,0.02049408,0.2966352,0.0285862,0.0048759,0.1299779,0.0002949523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976818,0.0004059249,0.007494444,0.0006053324,0.00003593462,0.000306145,0.001399606,0.0002562945,0.09181444],"genre_scores_gemma":[0.9820898,0.0003895506,0.006112401,0.0000374766,0.000002483569,0.00003059095,0.0003307555,0.00001807837,0.01098895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03751713,"threshold_uncertainty_score":0.1140684,"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."}}