{"id":"W4404041720","doi":"10.1364/oe.537607","title":"Fused-fiber-photometry based on a low-autofluorescence wideband multimode circulator","year":2024,"lang":"en","type":"article","venue":"Optics Express","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"European Research Council; Alexander von Humboldt-Stiftung","keywords":"Optics; Optical circulator; Multi-mode optical fiber; Circulator; Photometry (optics); Wideband; Materials science; Fresnel equations; Optical fiber; Physics; Refractive index; Astronomy","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":[0.00007076958,0.0001960734,0.0001546988,0.0001011309,0.00006410461,0.0001679658,0.0002198236,0.0001057458,0.000457298],"category_scores_gemma":[0.00002576826,0.0001747218,0.00007955415,0.0002527825,0.00005265571,0.00008296646,0.00003202827,0.0002632091,0.0005111078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005487374,"about_ca_system_score_gemma":0.00002059763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000109432,"about_ca_topic_score_gemma":4.153431e-7,"domain_scores_codex":[0.9989593,0.00001033944,0.0002093548,0.0002910848,0.0002262025,0.0003037152],"domain_scores_gemma":[0.9992158,0.0001375896,0.00001003828,0.0004585687,0.00002957371,0.0001484402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000318153,0.0002330902,0.00003555804,0.001586017,0.0000769718,0.0000676018,0.0003087942,0.6412119,0.3171923,0.007209748,0.01173923,0.02030693],"study_design_scores_gemma":[0.0001589461,0.0000272078,0.00003656329,0.0001824923,0.00001714576,0.000001429678,0.000009151926,0.9423827,0.02297764,0.00006402437,0.03390251,0.0002402188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5010995,0.004560156,0.2656566,0.001409334,0.002229021,0.002351935,0.0004293959,0.005759462,0.2165046],"genre_scores_gemma":[0.9915496,0.00004471996,0.006862769,0.000110608,0.0001402975,0.000119826,0.00001388605,0.00006873682,0.001089559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4904501,"threshold_uncertainty_score":0.712495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132072660947255,"score_gpt":0.223697668062212,"score_spread":0.2123769414527394,"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."}}