{"id":"W3080377181","doi":"10.1051/epjconf/202023808004","title":"Strain Sensor from Tapered Fibres","year":2020,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Optics; Cladding (metalworking); Materials science; Optical fiber; Coaxial; Interferometry; Wavelength; Optical power; Optoelectronics; Physics; Telecommunications; Composite material; Engineering; Laser","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":[0.000245979,0.0004704779,0.0004408665,0.0004992897,0.0001924465,0.0005884068,0.0008120469,0.0005251334,0.001114857],"category_scores_gemma":[0.0006954531,0.0002496564,0.0001969996,0.0003392562,0.0003978471,0.0008700149,0.0004654684,0.0005765985,0.0004228044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017473,"about_ca_system_score_gemma":0.0001840725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006553147,"about_ca_topic_score_gemma":0.001028933,"domain_scores_codex":[0.9992458,0.00004190505,0.00002503709,0.0001527035,0.0005024319,0.00003225049],"domain_scores_gemma":[0.9993976,0.0001083054,0.0001345947,0.0000728195,0.0002386376,0.00004802346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001628769,0.00002500672,0.0008298252,0.0002192584,0.00001212875,0.0001281779,0.00005017728,0.0009990109,0.9601997,0.0002771139,0.0003052142,0.03679153],"study_design_scores_gemma":[0.00003028639,0.00068962,0.007173663,0.00003825291,0.00005007477,0.001207539,0.00004528895,0.01845171,0.9663385,0.0002189234,0.005691661,0.00006437091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7991846,0.006708732,0.179456,0.000337338,0.0006496942,0.000154581,0.0008803164,0.00207253,0.01055621],"genre_scores_gemma":[0.9023705,0.001572117,0.08686808,0.0001533175,0.0001194744,0.00005120299,0.000426514,0.00004178258,0.008397062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001114857,"threshold_uncertainty_score":0.003729522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663641331816533,"score_gpt":0.2294979731377854,"score_spread":0.2028615598196201,"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."}}