{"id":"W4385885811","doi":"10.55274/r0012178","title":"PR686-203903-R02 Ongoing InSAR Geohazard Monitoring of Pipeline Right-of Ways in the Appalachian Mountains","year":2021,"lang":"en","type":"report","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"3v Geomatics (Canada)","funders":"","keywords":"Remote sensing; Interferometric synthetic aperture radar; Landslide; Geohazard; Lidar; Pipeline (software); Radar; Synthetic aperture radar; Geology; Computer science; Environmental science; Telecommunications; Seismology","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":[0.001676122,0.0007993403,0.0005503314,0.001099045,0.000971186,0.00232382,0.001165362,0.00202632,0.2720685],"category_scores_gemma":[0.001087092,0.0003468967,0.0003155118,0.001079537,0.0004329572,0.0007055212,0.001344983,0.0008094989,0.2745596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003232,"about_ca_system_score_gemma":0.002386009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01767631,"about_ca_topic_score_gemma":0.03590659,"domain_scores_codex":[0.9989929,0.0001402771,0.00002636596,0.0001441788,0.0005451161,0.000151287],"domain_scores_gemma":[0.9984425,0.0001799397,0.00007504191,0.0002641226,0.0008174622,0.0002210127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004362935,0.0006238366,0.003972881,0.0003468693,0.00005188636,0.0003504968,0.00009756083,0.001636444,0.02102057,0.005331927,0.6682157,0.2979155],"study_design_scores_gemma":[0.0000916825,0.0002643738,0.006149379,0.00007176758,0.000009946268,0.0001724466,0.0001235531,0.002852087,0.006349121,0.0009468543,0.9829479,0.00002083107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01217326,0.0004543938,0.02056375,0.002695021,0.001226326,0.001064823,0.04247507,0.01234689,0.9070006],"genre_scores_gemma":[0.02831478,0.0004667614,0.02977386,0.0009410948,0.0002235813,0.0005782588,0.06508914,0.002443986,0.8721687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2720685,"threshold_uncertainty_score":0.9101597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085645745152201,"score_gpt":0.3086468592957605,"score_spread":0.2577904018442385,"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."}}