{"id":"W1998433840","doi":"10.1039/c3lc50499a","title":"Microfluidic redox battery","year":2013,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Advanced battery technologies research","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Microfluidics; Flow battery; Microelectronics; Chip; Nanotechnology; Fluidics; Redox; Materials science; Electrolyte; Electrical engineering; Electrode; Power (physics); Optoelectronics; Engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003643229,0.0001226338,0.0001089751,0.0001174165,0.00003204056,0.00003424158,0.0002759123,0.00008653987,0.0007111163],"category_scores_gemma":[0.00004079813,0.0001115389,0.00002879885,0.0001814848,0.00004568,0.0001115215,0.00006670558,0.0003037161,0.004051709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006603372,"about_ca_system_score_gemma":0.000004144546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006371212,"about_ca_topic_score_gemma":6.990084e-7,"domain_scores_codex":[0.9992399,0.00001088486,0.0001130976,0.0001563535,0.0001312002,0.0003485232],"domain_scores_gemma":[0.9994528,0.00005428142,0.000008663328,0.0004156412,0.0000176385,0.00005091948],"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":[0.000006956213,0.00004094568,0.00136518,0.00008809075,0.00003971881,0.00003509411,0.00007400842,0.0003528668,0.4737316,0.0006074044,0.4098296,0.1138285],"study_design_scores_gemma":[0.00080506,0.0002042718,0.02321339,0.0001234607,0.000005549514,0.00003343684,0.0001407939,0.003085762,0.6929728,0.007563427,0.2710427,0.0008093386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736788,0.001015053,0.001367963,0.001222128,0.0002331434,0.0002731315,0.000006596073,0.00164811,0.02055505],"genre_scores_gemma":[0.9968862,0.0005403478,0.0007050661,0.0004165996,0.00005936939,0.00009351876,0.000005066056,0.00004821803,0.001245607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2192412,"threshold_uncertainty_score":0.9967238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300123471103875,"score_gpt":0.2388729896859407,"score_spread":0.2258717549749019,"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."}}