{"id":"W2106522631","doi":"10.1039/c3nr06271f","title":"Detection of high-energy compounds using photoluminescent silicon nanocrystal paper based sensors","year":2014,"lang":"en","type":"article","venue":"Nanoscale","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"","keywords":"Nitrobenzene; Luminescence; Materials science; Photoluminescence; Nanocrystal; Quenching (fluorescence); Silicon; Energy transfer; Photochemistry; Chemical engineering; Nanotechnology; Fluorescence; Optoelectronics; Chemistry; Chemical physics; Organic chemistry; Optics","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":[0.0002344117,0.0003145111,0.0002430448,0.0001993958,0.0001101406,0.0003019523,0.0006631567,0.0005782127,0.0007407074],"category_scores_gemma":[0.0003091357,0.0001811476,0.0001627522,0.0001691559,0.0002171585,0.0003213091,0.0001849619,0.0003436759,0.0002888046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006684131,"about_ca_system_score_gemma":0.0002030171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007559266,"about_ca_topic_score_gemma":0.002252492,"domain_scores_codex":[0.9996791,0.00004316138,0.0000204199,0.00008973566,0.0001378288,0.00002981348],"domain_scores_gemma":[0.999767,0.00008015322,0.00004837822,0.00001891675,0.00006420261,0.00002129024],"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":[0.00001627702,0.000009906756,0.0001250654,0.0000175084,0.000003143073,0.00001872146,0.000006687851,0.00007678969,0.9988633,0.0000430724,0.00002230353,0.0007972164],"study_design_scores_gemma":[0.000002046649,0.00003558497,0.0004258242,0.000001137872,0.000002467421,0.00003004375,0.000006442705,0.001190487,0.9980463,0.000009362823,0.0002484251,0.000001932885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535867,0.001826668,0.03993654,0.0001418811,0.00007477059,0.00007707252,0.0004186869,0.0002978704,0.003639811],"genre_scores_gemma":[0.9465725,0.0009436934,0.04752965,0.00009060191,0.00001666191,0.00008315859,0.0004419747,0.00001829653,0.004303426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007559266,"threshold_uncertainty_score":0.004849672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110166733310479,"score_gpt":0.2250231211681483,"score_spread":0.2139214538350435,"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."}}