{"id":"W2319091932","doi":"10.1021/nl301840y","title":"Color Matrix Refractive Index Sensors Using Coupled Vertical Silicon Nanowire Arrays","year":2012,"lang":"en","type":"article","venue":"Nano Letters","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Refractive index; Materials science; Silicon; Optics; Nanowire; Optoelectronics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000206109,0.0004430298,0.000319936,0.0002805261,0.0001740056,0.0006575668,0.0007050073,0.0005483086,0.0007248047],"category_scores_gemma":[0.0005040382,0.0004765149,0.0002043239,0.0003810624,0.0002548698,0.0007279356,0.000684367,0.0003401166,0.0003897745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004835851,"about_ca_system_score_gemma":0.000160001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007392322,"about_ca_topic_score_gemma":0.001800346,"domain_scores_codex":[0.9995304,0.00004605235,0.00001478604,0.0001273342,0.0002437603,0.00003769079],"domain_scores_gemma":[0.9996886,0.00007609625,0.00008533274,0.00002609595,0.0001006171,0.0000232741],"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":[0.00003874967,0.00001582546,0.0001443096,0.00002940333,0.000009373631,0.00003566442,0.00001788145,0.0009422189,0.9931675,0.0005249212,0.0001151612,0.004959034],"study_design_scores_gemma":[0.0000155251,0.0001367543,0.0004415463,0.000004341212,0.00001317633,0.00007634212,0.00001881687,0.02162219,0.9758247,0.0002784158,0.001552319,0.00001595816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8824725,0.002337455,0.1033769,0.0003121561,0.0003333291,0.00006778738,0.0003625113,0.0009548446,0.009782435],"genre_scores_gemma":[0.9242671,0.001217138,0.06811915,0.0001267602,0.00004953353,0.00005256479,0.0002234133,0.00005231539,0.005892078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007392322,"threshold_uncertainty_score":0.003508687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289304384313819,"score_gpt":0.2475809516598636,"score_spread":0.2346879078167254,"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."}}