{"id":"W3022540801","doi":"10.1520/jte20170497","title":"Distributed Strain Sensing to Study a Composite Liner for Cast Iron Water Pipe Rehabilitation","year":2018,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Extensometer; Materials science; Reflectometry; Crosshead; Composite material; Optical fiber; Composite number; Bending; Tension (geology); Fiber optic sensor; Rayleigh scattering; Displacement (psychology); Fiber; Ultimate tensile strength; Flexural strength; Optics; Time domain","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":[],"consensus_categories":[],"category_scores_codex":[0.001211776,0.00007714389,0.0001206588,0.00008294961,0.00008145016,0.0000358885,0.00002597002,0.00002520549,0.000003219491],"category_scores_gemma":[0.001271599,0.00006081768,0.00001961371,0.00009201328,0.00001440073,0.0001287169,0.000007649805,0.00006980307,0.000002178505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008617083,"about_ca_system_score_gemma":0.000008300868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002481906,"about_ca_topic_score_gemma":0.000004104829,"domain_scores_codex":[0.9992397,0.00005089292,0.0003125933,0.00007911401,0.0001991081,0.0001186266],"domain_scores_gemma":[0.9987707,0.0003655972,0.00006803689,0.00006304789,0.0006805306,0.00005211102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009644782,0.0000531053,0.002243294,0.00004458507,0.0000415244,0.000002736139,0.007931342,0.3562616,0.4554855,4.697656e-7,0.000104499,0.1777348],"study_design_scores_gemma":[0.001756699,0.002277161,0.04274714,0.0002064366,0.0001819052,0.00009313836,0.001695864,0.9430402,0.007206126,0.0005868342,0.00004046505,0.0001680156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375895,0.00001513824,0.06166638,0.000168423,0.0001946857,0.0003231002,0.000004975953,0.0000236882,0.00001407764],"genre_scores_gemma":[0.8672238,2.060476e-7,0.132511,0.000009681253,0.0002340599,0.000001964825,0.000004764018,0.00001252373,0.000002011931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5867786,"threshold_uncertainty_score":0.2480073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129719899154352,"score_gpt":0.3196154407864065,"score_spread":0.278318241794863,"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."}}