{"id":"W1969569560","doi":"10.1364/ofs.2006.the41","title":"A Simple Model for BOTDA Spectral Deconvolution Under Short Spatial Resolution (&lt;50cm) and Non-Uniform Strain Conditions","year":2006,"lang":"en","type":"article","venue":"Optical Fiber Sensors","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Deconvolution; Nanosecond; Simple (philosophy); Image resolution; Transient (computer programming); Spectral line; Resolution (logic); Computational physics; Optics; Materials science; Physics; Algorithm; Computer science; Artificial intelligence","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":[0.0003769815,0.0006932777,0.0007410934,0.0004341011,0.0004037842,0.0007356016,0.001564465,0.001726259,0.002393757],"category_scores_gemma":[0.0007132983,0.0004751101,0.0006459314,0.0003227951,0.0005481575,0.00148918,0.0005332568,0.001271454,0.001797444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009947038,"about_ca_system_score_gemma":0.001102884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002943483,"about_ca_topic_score_gemma":0.002425836,"domain_scores_codex":[0.9997839,0.00001863077,0.00000876288,0.00008262494,0.00007371914,0.00003221098],"domain_scores_gemma":[0.9998282,0.00003977356,0.00002127681,0.00003650193,0.00005438449,0.00001977498],"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":[0.0001744123,0.0001565014,0.001010354,0.0004912298,0.00009215579,0.0006752542,0.0002873714,0.2023833,0.5721932,0.1742976,0.004695257,0.0435434],"study_design_scores_gemma":[0.000009710398,0.00003824346,0.0003037674,0.00001522992,0.00001069291,0.0002782729,0.00001237912,0.944734,0.027536,0.0222665,0.004759497,0.00003567931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01664769,0.0003530637,0.9778633,0.0003815693,0.0001265858,0.00007120574,0.0002448754,0.0008304571,0.003481234],"genre_scores_gemma":[0.5662858,0.001806792,0.382387,0.0005578208,0.0001065291,0.0006341222,0.0006272927,0.0006652037,0.04692947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002943483,"threshold_uncertainty_score":0.008007884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582931758866732,"score_gpt":0.2403393636083451,"score_spread":0.2245100460196778,"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."}}