{"id":"W2089829210","doi":"10.1364/cleo.2010.ctub4","title":"Diffraction Based Biosensing with Porous Silicon","year":2010,"lang":"en","type":"article","venue":"","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biosensor; Porous silicon; Materials science; Silicon; Diffraction grating; Diffraction; Grating; Throughput; Nanotechnology; Porosity; Stamping; Optoelectronics; Optics; Computer science; Composite material; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008544038,0.00009974579,0.0000947272,0.00003507117,0.00009889286,0.00008365013,0.00009746174,0.00006196029,0.001415443],"category_scores_gemma":[0.00003423782,0.00006652896,0.00001827431,0.00009798081,0.00008430797,0.0001259124,0.00001277232,0.0001075233,0.00007340751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006893464,"about_ca_system_score_gemma":0.00004081326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004533301,"about_ca_topic_score_gemma":0.0007566185,"domain_scores_codex":[0.9993203,0.00001455017,0.0001048323,0.0002252838,0.0001537276,0.0001813152],"domain_scores_gemma":[0.9994987,0.00005085719,0.0000573098,0.0002696949,0.00005505507,0.00006838269],"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":[0.00003609698,0.00001778213,0.002532605,0.000004094807,6.238475e-7,0.000006442441,0.00001584491,0.000005736571,0.9962697,0.0001515474,0.0001066903,0.0008528153],"study_design_scores_gemma":[0.000243603,0.00006089022,0.02198393,0.000005663994,0.00000499653,0.00005778293,0.00002487827,0.0006531836,0.9760733,0.00003032749,0.0007392786,0.0001221877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970285,0.000002295734,0.00008135413,0.0001863701,0.0006229517,0.0001011342,0.000004119948,0.0001223336,0.001850887],"genre_scores_gemma":[0.9977123,2.627365e-7,0.001670403,0.0003335769,0.00009441762,0.000002286625,0.000002882123,0.00001055947,0.0001733245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02019644,"threshold_uncertainty_score":0.9994974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005955779013410158,"score_gpt":0.2156090517752879,"score_spread":0.2096532727618778,"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."}}