{"id":"W2757230917","doi":"10.1109/mwscas.2017.8052866","title":"Low-cost fabrication of paper-based systems: Microfluidics, sensors, electronics and deployment","year":2017,"lang":"en","type":"article","venue":"","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Microfluidics; Microelectronics; Fabrication; Electronics; Nanotechnology; Computer science; Software deployment; Biosensor; Substrate (aquarium); Materials science; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007249002,0.00007878293,0.0001142879,0.00003007521,0.00007157723,0.00005100116,0.00006022312,0.00006240304,0.000009893396],"category_scores_gemma":[0.00002345825,0.0000695768,0.00002765473,0.00002392664,0.00003402577,0.00006311244,0.000009197209,0.00006352567,0.000007418042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003786299,"about_ca_system_score_gemma":0.000007004628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005970766,"about_ca_topic_score_gemma":0.00001081548,"domain_scores_codex":[0.9995434,0.000008578974,0.0001467422,0.00009909052,0.00007389275,0.0001283508],"domain_scores_gemma":[0.9996214,0.00001626053,0.00003692277,0.0002380413,0.0000420264,0.0000453398],"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":[0.00001362686,0.00004456593,0.001220647,0.0003544007,0.00005545238,0.000001556509,0.00001577407,0.001987997,0.9754095,0.001329123,0.001513335,0.018054],"study_design_scores_gemma":[0.0003070034,0.00003765948,0.004260691,0.00004961508,0.00002738772,0.000002145535,0.0000196278,0.1744928,0.8110638,0.00002897983,0.009566847,0.0001434245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651072,0.00165969,0.03028028,0.0002485127,0.0002828843,0.0003154179,0.00001468209,0.0002059386,0.001885392],"genre_scores_gemma":[0.9991975,0.0005028056,0.0001018935,0.00001510512,0.00003833043,0.000004562736,0.000002790306,0.00001339921,0.0001236364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1725048,"threshold_uncertainty_score":0.283726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009261691001477255,"score_gpt":0.2134906080025852,"score_spread":0.2042289170011079,"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."}}