{"id":"W4319877016","doi":"10.1364/oe.477098","title":"Cost-effective silicon-photonic biosensors using doped silicon detectors and a broadband source","year":2023,"lang":"en","type":"article","venue":"Optics Express","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photodetector; Materials science; Silicon; Optoelectronics; Detector; Refractive index; Optics; Silicon photonics; Photonics; Broadband; Biosensor; Doping; Fabrication; Nanotechnology; Physics","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":[0.0007422458,0.0008096892,0.0007099874,0.0004459112,0.0002789882,0.0006856514,0.001063878,0.001361231,0.0004778324],"category_scores_gemma":[0.0006812078,0.0005591649,0.0003457229,0.0002615968,0.0005110925,0.001080437,0.0009075181,0.0005730128,0.0004707869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008550432,"about_ca_system_score_gemma":0.0004716388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003029064,"about_ca_topic_score_gemma":0.001031035,"domain_scores_codex":[0.9988186,0.000187808,0.00006169971,0.000216269,0.000647783,0.00006786329],"domain_scores_gemma":[0.9996,0.0001338572,0.0001275737,0.00002415809,0.00006990993,0.00004446362],"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":[0.00002851584,0.00002717528,0.0002423079,0.00005312088,0.000007873081,0.00004674579,0.00001073275,0.0003326448,0.995204,0.0005676796,0.00006552794,0.003413822],"study_design_scores_gemma":[0.00001176377,0.000226957,0.0003961878,0.00001014082,0.00001693547,0.0002649491,0.00001013968,0.01063427,0.9867173,0.0001593732,0.001527381,0.00002460282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6796855,0.006416154,0.3069752,0.0009817856,0.0002868582,0.000187012,0.0002995341,0.001117027,0.004050934],"genre_scores_gemma":[0.6574271,0.001384024,0.3380764,0.000253677,0.00007037896,0.0001428489,0.0001578993,0.00003477293,0.002452977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001361231,"threshold_uncertainty_score":0.00620383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172826210526634,"score_gpt":0.2582630048989406,"score_spread":0.2365347427936743,"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."}}