{"id":"W2963594914","doi":"10.1139/cgj-2018-0651","title":"Quantifying progressive failure of micro-anchored fiber optic cable–sand interface via high-resolution distributed strain sensing","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nanjing University; China Scholarship Council; National Natural Science Foundation of China","keywords":"Materials science; Optical fiber; Geotechnical engineering; Deformation (meteorology); Shear (geology); Optical fiber cable; Fiber optic sensor; Composite material; Structural engineering; Fiber; Geology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002068716,0.00026932,0.000405402,0.0002536683,0.0001093694,0.00007443006,0.0002522969,0.0003117094,0.0003395568],"category_scores_gemma":[0.00009941153,0.0002786919,0.0001183278,0.0003420464,0.0001087668,0.0002118843,0.00003042256,0.001002234,0.0000691211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000738477,"about_ca_system_score_gemma":0.0001672289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009403166,"about_ca_topic_score_gemma":0.0008310768,"domain_scores_codex":[0.9981815,0.00004738526,0.0005480684,0.0002474193,0.0002340062,0.0007416678],"domain_scores_gemma":[0.9987101,0.00008170195,0.0001564791,0.000324312,0.0001671444,0.0005602683],"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":[0.00001944826,0.000008002983,0.00005713799,0.00006287843,0.0001050602,0.0002220442,0.00008465638,0.899046,0.09432901,0.0000342464,0.001025809,0.005005734],"study_design_scores_gemma":[0.002681743,0.0003303472,0.003259791,0.001868399,0.0002097378,0.005280775,0.0006730454,0.9256629,0.04620247,0.0006166808,0.01158633,0.001627819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805345,0.0009059539,0.1166134,0.0004419935,0.0005498918,0.0004681135,0.0002559403,0.0001597885,0.00007041612],"genre_scores_gemma":[0.9682512,0.00001153301,0.03146376,0.00001921857,0.0001096332,0.000001638362,0.00003733881,0.00006353103,0.00004210541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08771672,"threshold_uncertainty_score":0.9999665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006423798564463,"score_gpt":0.2262022887773351,"score_spread":0.2161380507916904,"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."}}