{"id":"W3100891272","doi":"10.1101/2020.11.09.375683","title":"PHAIR – A biosensor for pH measurement in air-liquid interface","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; University of British Columbia; University of Waterloo; McMaster University","funders":"","keywords":"Biosensor; Miniaturization; Nanotechnology; Materials science; Electrode; Silver chloride; Microfluidics; Chemistry","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":[0.0004297768,0.0005867757,0.0003787384,0.0003354769,0.0001949975,0.0004296942,0.0007479981,0.0009068123,0.001833591],"category_scores_gemma":[0.0003225798,0.0003024597,0.0002941416,0.000274865,0.000265806,0.0006624354,0.0003866137,0.0007564393,0.001655153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002648091,"about_ca_system_score_gemma":0.0001869329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001962156,"about_ca_topic_score_gemma":0.0001901227,"domain_scores_codex":[0.9995183,0.00009361841,0.00003134182,0.0001449097,0.0001734076,0.00003849427],"domain_scores_gemma":[0.9998444,0.00003946321,0.00003340959,0.00001925625,0.00004683227,0.00001663796],"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":[0.00002826883,0.00001287685,0.00008843993,0.00004970653,0.000003398348,0.00002877655,0.000005486767,0.00005280355,0.9966195,0.0001162611,0.0002139327,0.002780573],"study_design_scores_gemma":[0.000005777511,0.00009130746,0.0003010876,0.000004467964,0.000004523692,0.0001421124,0.000006402737,0.001697076,0.9952497,0.00005630066,0.002435303,0.000005898269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4136391,0.01040068,0.5533843,0.0009432923,0.001099445,0.0004787951,0.002042946,0.00545016,0.01256127],"genre_scores_gemma":[0.6998051,0.004130269,0.2778813,0.0005172082,0.0002174696,0.0002635863,0.001854613,0.0002553431,0.01507517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001833591,"threshold_uncertainty_score":0.006133974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035350665082081,"score_gpt":0.2367661161870654,"score_spread":0.2064126095362446,"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."}}