{"id":"W2189516276","doi":"10.1109/metamat.2006.334984","title":"Silicon Microphotonic Waveguides for Biological Sensing","year":2006,"lang":"en","type":"article","venue":"2006 International Symposium on Biophotonics, Nanophotonics and Metamaterials","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institute for Microstructural Sciences","funders":"","keywords":"Environmental science","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":[0.0002186847,0.0003695038,0.0001603246,0.0003002666,0.0001909508,0.000363816,0.0002622063,0.0003612875,0.003329436],"category_scores_gemma":[0.0001607284,0.000166832,0.0002034859,0.0002058586,0.000269474,0.0003698831,0.0002448612,0.0006345532,0.001348556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004096231,"about_ca_system_score_gemma":0.0002978065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001838649,"about_ca_topic_score_gemma":0.0006180495,"domain_scores_codex":[0.9998814,0.0000160725,0.0000057387,0.00002276811,0.00005804312,0.00001599177],"domain_scores_gemma":[0.99992,0.00002807565,0.00001469036,0.000009588968,0.00001647518,0.00001124572],"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":[0.00004064209,0.00002187731,0.0001082099,0.0002044719,0.000007428671,0.00006868227,0.0000367206,0.0004437845,0.9487225,0.01886677,0.001963856,0.02951502],"study_design_scores_gemma":[0.00002337402,0.0002741778,0.0007815584,0.00007050802,0.00001785233,0.0005019908,0.00005369854,0.00580033,0.8961703,0.007079895,0.08920369,0.00002268294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2685867,0.09851912,0.4730223,0.004412411,0.00319248,0.0004844706,0.00186586,0.002437285,0.1474794],"genre_scores_gemma":[0.6368868,0.03978929,0.2682049,0.001663252,0.0004493641,0.000370286,0.001707046,0.0001609406,0.05076801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003329436,"threshold_uncertainty_score":0.01113802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165978984376013,"score_gpt":0.2258639013102643,"score_spread":0.2142041114665042,"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."}}