{"id":"W2565188863","doi":"10.1021/acssensors.6b00632","title":"Metabolic Study of Cancer Cells Using a pH Sensitive Hydrogel Nanofiber Light Addressable Potentiometric Sensor","year":2016,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Alberta Innovates - Technology Futures","keywords":"Cancer cell; Chemistry; Lactate dehydrogenase; Potentiometric titration; Cancer; Extracellular; Nanofiber; Doxorubicin; Biochemistry; Intracellular pH; Hexokinase; Biophysics; Potentiometric sensor; Metabolism; Glycolysis; Enzyme; Nanotechnology; Biology; Materials science; Medicine; Electrode; Chemotherapy; Internal medicine","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":[0.0002759718,0.0003358114,0.0002868557,0.000228366,0.0001232141,0.0002885358,0.0004285568,0.000530017,0.0005055346],"category_scores_gemma":[0.0002660519,0.0001369073,0.0002143334,0.0002114075,0.0001906889,0.000443819,0.0002245668,0.0004262556,0.0002306762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873986,"about_ca_system_score_gemma":0.0001501615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003654938,"about_ca_topic_score_gemma":0.0004825391,"domain_scores_codex":[0.9997196,0.00004171506,0.00001686205,0.00008491704,0.0001130533,0.0000238928],"domain_scores_gemma":[0.9998258,0.00006559218,0.0000496467,0.0000125885,0.00002824703,0.00001813501],"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":[0.00002381728,0.000008218099,0.0001206843,0.00003278054,0.00000249756,0.00002301247,0.000008638372,0.00006170085,0.9978162,0.00002555816,0.00002151033,0.001855438],"study_design_scores_gemma":[0.000003474492,0.000063609,0.0005992762,0.000002173166,0.000006213949,0.00009348508,0.000006878379,0.001590804,0.9969362,0.00001703408,0.0006741159,0.000006740086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484672,0.006586559,0.1385039,0.000804324,0.0001589215,0.0001265344,0.001102738,0.0007789221,0.003470879],"genre_scores_gemma":[0.8821701,0.003210653,0.1107655,0.0002295936,0.00007288386,0.0001514943,0.0003632907,0.0000308002,0.003005754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000530017,"threshold_uncertainty_score":0.002085209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066501525192224,"score_gpt":0.2625652813000172,"score_spread":0.241900266048095,"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."}}