{"id":"W3014336776","doi":"10.1109/tie.2020.2982104","title":"A Self-Sustained Smart Monitoring Platform for Capacitive De-Ionization Cell in Wireless Sensor Network","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Capacitive sensing; Wireless; Capacitive deionization; Computer science; Proof of concept; Wireless sensor network; Node (physics); Electrical engineering; Desalination; Embedded system; Engineering; Telecommunications; Computer network","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":[0.0001672603,0.000312392,0.0002094836,0.0001937711,0.000170543,0.0002912054,0.0009139647,0.0004759595,0.0007522789],"category_scores_gemma":[0.0002655223,0.0001283129,0.0001534356,0.0002233631,0.0001620937,0.0009169067,0.0004256628,0.0003208588,0.0003384725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002362356,"about_ca_system_score_gemma":0.0001851242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000266405,"about_ca_topic_score_gemma":0.0005080412,"domain_scores_codex":[0.9997507,0.00003047508,0.00001088058,0.00007130681,0.0001123908,0.00002430256],"domain_scores_gemma":[0.9998673,0.0000179575,0.00003471349,0.00001670825,0.00004879809,0.00001461865],"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":[0.00009217815,0.00006501545,0.0006423297,0.0001834404,0.00001391393,0.0002306849,0.00006763632,0.001990622,0.9425367,0.001889744,0.001519485,0.05076842],"study_design_scores_gemma":[0.00003041992,0.0009846885,0.002301889,0.00001742985,0.00003755034,0.0009014951,0.00007165947,0.06976908,0.8962991,0.0006073338,0.0289293,0.00005002156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4712073,0.003913647,0.5044714,0.001160759,0.0008672023,0.0003760331,0.0004286824,0.002527906,0.01504721],"genre_scores_gemma":[0.9162669,0.001024176,0.07455276,0.0003195896,0.00008425683,0.0001778373,0.0002135375,0.00003387815,0.007327083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009139647,"threshold_uncertainty_score":0.002516568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295614732025762,"score_gpt":0.2389648446290366,"score_spread":0.2094033714264604,"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."}}