{"id":"W4411698828","doi":"10.1002/9781119909668.ch37","title":"Pipeline Geohazard Detection Using Satellite InSAR","year":2025,"lang":"en","type":"other","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"3v Geomatics (Canada)","funders":"","keywords":"Geohazard; Interferometric synthetic aperture radar; Remote sensing; Satellite; Geology; Pipeline (software); Geography; Computer science; Seismology; Synthetic aperture radar; Landslide; Engineering; Aerospace 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004870867,0.000235146,0.0003153525,0.0003440047,0.00002796311,0.00002999586,0.0001169288,0.0005084517,0.003991878],"category_scores_gemma":[0.00002095163,0.0001974024,0.0001739516,0.0003033043,0.00003271779,0.00002655992,0.00002345922,0.0003510079,0.0001269281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009516164,"about_ca_system_score_gemma":0.00001455436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002082668,"about_ca_topic_score_gemma":0.001848151,"domain_scores_codex":[0.9992964,0.00001765196,0.000206805,0.0002035132,0.0001087842,0.000166873],"domain_scores_gemma":[0.9996133,0.00001919645,0.00002871313,0.0002718215,0.00002886516,0.0000380336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002227267,0.00004193321,0.0001250909,0.003110247,0.002254255,0.0000223326,0.00009395673,0.0468729,0.006054539,0.0007891114,0.2866417,0.6539717],"study_design_scores_gemma":[0.00009874153,0.00000480746,0.00002815047,0.0001881021,0.0002289628,0.000003576631,0.00002165743,0.1142544,0.005369056,0.0004244301,0.8790066,0.0003715605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000242309,0.002325527,0.0445352,0.00002079521,0.001138847,0.0001306064,0.00002565351,0.001119994,0.9504611],"genre_scores_gemma":[0.01057295,0.001929194,0.003280032,0.0000600182,0.0004700039,0.000003072187,0.00002866255,0.0002056965,0.9834504],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6536002,"threshold_uncertainty_score":0.9969186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020239102167336,"score_gpt":0.2290356331384024,"score_spread":0.2188332421167291,"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."}}