{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001578028,0.0002378515,0.0002901063,0.000274918,0.0001230488,0.0003595546,0.0005005847,0.0004713725,0.0003996165],"category_scores_gemma":[0.00032805,0.0001884365,0.0002548713,0.0001969032,0.000448384,0.000353517,0.000489483,0.0003709242,0.0002121526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003994514,"about_ca_system_score_gemma":0.0002319406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004362641,"about_ca_topic_score_gemma":0.0005710881,"domain_scores_codex":[0.9998121,0.00001320415,0.00001115821,0.00003268366,0.0001003705,0.00003046091],"domain_scores_gemma":[0.9998259,0.00008047167,0.00003215552,0.00001238216,0.00002348668,0.00002563141],"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":[0.00002385697,0.00001282172,0.0001363612,0.00005438499,0.000003966099,0.00004165748,0.000009687468,0.00025743,0.9926272,0.0004171642,0.0001107529,0.006304617],"study_design_scores_gemma":[0.00000697335,0.00006996654,0.0003122812,0.00000273228,0.000006246109,0.0001679848,0.000004587588,0.003010496,0.9947972,0.0001482903,0.001464274,0.000009074272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8238117,0.01167934,0.1505506,0.001236399,0.0004079024,0.00009726471,0.0005050372,0.001514085,0.01019752],"genre_scores_gemma":[0.9212188,0.002577887,0.07372497,0.0002711291,0.00009560768,0.00003177819,0.0002043464,0.00003031547,0.001845057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005005847,"threshold_uncertainty_score":0.002898276,"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."}}