{"id":"W4312296513","doi":"10.1115/ipc2022-87809","title":"High Fidelity Distributed Fiber Optic Sensing for Landslide Detection","year":2022,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Husky Energy (Canada); Stantec (Canada)","funders":"","keywords":"Landslide; Inclinometer; Geology; Geophone; Remote sensing; Warning system; Pipeline transport; Accelerometer; Fiber optic sensor; Geotechnical engineering; Optical fiber; Seismology; Environmental science; Geodesy; Engineering; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002541844,0.0001704036,0.0002394963,0.00005674132,0.0005919919,0.0002233077,0.00004639253,0.00006273064,0.00003536832],"category_scores_gemma":[0.00006798596,0.0001677702,0.00002934219,0.00007192188,0.00002306224,0.0001268062,0.00005754788,0.0001343141,8.511648e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006817179,"about_ca_system_score_gemma":0.000009626575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013584,"about_ca_topic_score_gemma":0.000007070946,"domain_scores_codex":[0.9990979,0.00002695538,0.0002892668,0.000220524,0.00009366692,0.0002716322],"domain_scores_gemma":[0.9997026,0.00003460422,0.00002881101,0.0001222708,0.00004443666,0.00006733066],"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":[0.00007618202,0.0000154883,0.0001306834,0.0003127309,0.00009634165,0.00001115946,0.0003410833,0.7841058,0.1975574,0.001080167,0.0006444306,0.01562853],"study_design_scores_gemma":[0.005527768,0.0009923426,0.02753305,0.000441783,0.0003334337,0.0006919479,0.002363332,0.6523098,0.101382,0.002661236,0.2028467,0.00291659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437986,0.0002914675,0.05354628,0.00006366277,0.001597877,0.0002225437,0.0001784533,0.0002815803,0.00001955628],"genre_scores_gemma":[0.9879935,0.00009074763,0.01111433,0.0000112733,0.0003501892,0.00008159073,0.00007165361,0.00003080898,0.0002559301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2022023,"threshold_uncertainty_score":0.6841472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007152047996781124,"score_gpt":0.2018675926577276,"score_spread":0.1947155446609465,"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."}}