{"id":"W2913493586","doi":"10.1002/aelm.201970007","title":"Electrochemical Sensors: 3D Printed Disposable Wireless Ion Sensors with Biocompatible Cellulose Composites (Adv. Electron. Mater. 2/2019)","year":2019,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Materials science; Biocompatible material; Cellulose; Inkwell; Nanotechnology; 3D printing; Wireless; 3d printed; Electrochemistry; Electronics; Printed electronics; Composite material; Electrode; Computer science; Chemical engineering; Electrical engineering; Biomedical engineering; Telecommunications; Engineering","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":[0.0003063102,0.0009616924,0.0004374772,0.0007898897,0.0002102893,0.00101569,0.001047084,0.001508941,0.002002271],"category_scores_gemma":[0.0005328191,0.0006487219,0.0006391573,0.0004829929,0.0004623931,0.001102968,0.0003886501,0.0009469142,0.001612073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005624975,"about_ca_system_score_gemma":0.0002168139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005080202,"about_ca_topic_score_gemma":0.001173983,"domain_scores_codex":[0.9994559,0.00003387093,0.00003022958,0.0001278743,0.0003058999,0.00004624326],"domain_scores_gemma":[0.999811,0.00004776565,0.00006090111,0.00001927806,0.00004229756,0.00001875946],"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":[0.00005690685,0.00003202598,0.0001138664,0.0001462884,0.00002503807,0.0001334319,0.00002846712,0.0002151057,0.9772317,0.0004870235,0.001210105,0.02032015],"study_design_scores_gemma":[0.000006087576,0.00004103082,0.0002245414,0.000003192886,0.00001197585,0.0001955342,0.000005880923,0.001222035,0.9926483,0.00008069057,0.005543243,0.00001747129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.377765,0.05145568,0.5098659,0.003494679,0.005508613,0.0007357867,0.004586902,0.01188721,0.03470013],"genre_scores_gemma":[0.5674147,0.01832757,0.3641936,0.002506935,0.0005255893,0.0003256988,0.001760387,0.0004706305,0.04447492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002002271,"threshold_uncertainty_score":0.006698251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003257351054992732,"score_gpt":0.2091452681994079,"score_spread":0.2058879171444152,"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."}}