{"id":"W2968112652","doi":"10.1109/fleps.2019.8792321","title":"Detectors and light-sources for optical spectrometry: from a 3D-printed light-source to a self-powered sensor fabricated on a flexible polymeric substrate, and from there on to an IoT-enabled \"smart\" system","year":2019,"lang":"en","type":"article","venue":"","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spectrometer; Detector; Software portability; Materials science; Computer science; Photodetector; Optoelectronics; Electronics; Fabrication; Optical fiber; Microfluidics; Optical engineering; Nanotechnology; Electrical engineering; Telecommunications; Optics; Engineering; Physics","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":[0.0007182354,0.0008692183,0.0006437715,0.001738849,0.0004845328,0.002493148,0.002289891,0.002574814,0.004286372],"category_scores_gemma":[0.0006778148,0.001033842,0.0007410722,0.0009944476,0.001221892,0.002704755,0.001388477,0.002352084,0.004075997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179813,"about_ca_system_score_gemma":0.0005805084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004862846,"about_ca_topic_score_gemma":0.000543672,"domain_scores_codex":[0.9987857,0.0001042329,0.00005574006,0.0002414155,0.00075756,0.00005540131],"domain_scores_gemma":[0.9995363,0.0001029679,0.00007789348,0.00008015077,0.0001479802,0.0000547047],"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":[0.0001178445,0.0001918134,0.001355305,0.001074295,0.00007493432,0.0003167386,0.0002852861,0.002639375,0.7584642,0.02320177,0.00971623,0.2025623],"study_design_scores_gemma":[0.00002761013,0.0003457142,0.001512772,0.0001811416,0.00007257069,0.00118339,0.00009563247,0.01182757,0.7902939,0.008401961,0.1859104,0.0001474492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04391553,0.03664188,0.8694445,0.004432674,0.001743808,0.0005280752,0.001155161,0.008554373,0.03358402],"genre_scores_gemma":[0.1057477,0.01763272,0.8388318,0.00362541,0.0009281296,0.0004309964,0.0008053471,0.0006591501,0.03133881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004286372,"threshold_uncertainty_score":0.01433939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00653584757272303,"score_gpt":0.1929521759064055,"score_spread":0.1864163283336825,"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."}}