{"id":"W2070742146","doi":"10.1109/ofs.1992.763116","title":"Fiber Optic Sensing for Smart Materials and Structures","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Institute for Christian Studies; University of Toronto","funders":"","keywords":"Multidisciplinary approach; Smart material; Field (mathematics); Aerospace engineering; Systems engineering; Computer science; Engineering; Remote sensing; Construction engineering; Geology; Nanotechnology; Materials science","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":[0.0002657712,0.0004249037,0.0002864589,0.0004824884,0.0005827516,0.0009590746,0.0005370193,0.001137216,0.007409152],"category_scores_gemma":[0.0004881321,0.0001966066,0.0001750018,0.0003406152,0.001008954,0.001586506,0.0006636227,0.0008759058,0.00212341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007025141,"about_ca_system_score_gemma":0.0004143138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003838481,"about_ca_topic_score_gemma":0.0007312556,"domain_scores_codex":[0.9997074,0.00002695833,0.000005864196,0.00004070396,0.0001978894,0.00002117437],"domain_scores_gemma":[0.9998784,0.0000376419,0.00001333315,0.00002528175,0.0000347405,0.00001060314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007462773,0.00005219623,0.0002356143,0.0006649227,0.00001824467,0.000185075,0.0002573951,0.002538756,0.2191342,0.5228836,0.02921525,0.2247402],"study_design_scores_gemma":[0.00002084196,0.0001251952,0.0004972914,0.0002105311,0.00001454623,0.000567287,0.00008967425,0.01542857,0.1199024,0.1555084,0.7075805,0.00005482847],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05466583,0.1652635,0.3082955,0.02003651,0.0089178,0.0003203617,0.0004402805,0.002527633,0.4395325],"genre_scores_gemma":[0.5088861,0.08062602,0.2380265,0.004297938,0.002303779,0.0002913604,0.0003830577,0.0002372123,0.164948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007409152,"threshold_uncertainty_score":0.02478611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009891256666760101,"score_gpt":0.2273902981879631,"score_spread":0.217499041521203,"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."}}