{"id":"W4410968925","doi":"10.1364/optcon.558823","title":"Real-time detection of chemicals using tapered optical fiber","year":2025,"lang":"en","type":"article","venue":"Optics Continuum","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Optical fiber; Fiber; Materials science; Computer science; Composite material; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004136988,0.0007039282,0.000302814,0.0005661416,0.0002123098,0.0003918563,0.0006327716,0.000672183,0.0004882244],"category_scores_gemma":[0.0006505083,0.0003334307,0.0003145123,0.0002966801,0.0004251777,0.0005257981,0.0003365491,0.0005007467,0.0002395827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004481265,"about_ca_system_score_gemma":0.0002767953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268356,"about_ca_topic_score_gemma":0.001559823,"domain_scores_codex":[0.9992703,0.00009396606,0.00003346644,0.0002410034,0.0003034483,0.00005785422],"domain_scores_gemma":[0.9995418,0.0001140184,0.0001266225,0.00004280932,0.000141113,0.00003372682],"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":[0.00002397239,0.000008275957,0.00009637821,0.00002911562,0.000003800199,0.00003553311,0.00001956183,0.0001410312,0.9969398,0.00003878906,0.00001613915,0.00264766],"study_design_scores_gemma":[0.000004258427,0.0001349597,0.0004045207,0.000002936319,0.000006952019,0.0000743299,0.00001450448,0.00282765,0.9957955,0.00002263061,0.0007020629,0.000009705414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908467,0.002590171,0.1031182,0.0001757933,0.0001801517,0.0001329202,0.0002336549,0.0008590328,0.001863409],"genre_scores_gemma":[0.8279471,0.001990143,0.1664728,0.0001849424,0.000072168,0.00009048769,0.000208239,0.00004621386,0.002987975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001268356,"threshold_uncertainty_score":0.003251374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005848484032298366,"score_gpt":0.2161464347327495,"score_spread":0.2102979507004512,"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."}}