{"id":"W3193584118","doi":"10.1016/j.bios.2021.113578","title":"Editorial preface of the special issue on “the progress and perspectives of biosensing research in North America”","year":2021,"lang":"en","type":"editorial","venue":"Biosensors and Bioelectronics","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biosensor; Engineering ethics; Nanotechnology; Library science; Computer science; Engineering; Materials science","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":[0.006933827,0.004161438,0.004516148,0.006080933,0.003410164,0.008667936,0.003085826,0.01069079,0.02513742],"category_scores_gemma":[0.02471538,0.001148481,0.002618106,0.001918005,0.001693687,0.004279811,0.00153665,0.01319308,0.0184647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002840757,"about_ca_system_score_gemma":0.00345041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001877918,"about_ca_topic_score_gemma":0.005901698,"domain_scores_codex":[0.9940672,0.0009248883,0.000608566,0.0006897005,0.003372934,0.0003368017],"domain_scores_gemma":[0.9677486,0.009269631,0.002244436,0.0005627726,0.01579399,0.004380543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003505378,0.00001165315,0.00001535976,0.0001709362,0.000009474295,0.00004549666,0.000006765055,0.00001099327,0.00006432526,0.00009956689,0.9961877,0.00334262],"study_design_scores_gemma":[0.00006892672,0.00003919043,0.0003022292,0.0004308495,0.00004919792,0.0001689229,0.0000376317,0.0001269588,0.0001386142,0.0006219621,0.997996,0.00001961613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001397176,0.002102636,0.00005654624,0.01052695,0.9863252,0.00001342771,0.0000276858,0.0000213894,0.0009122124],"genre_scores_gemma":[0.0001677853,0.002204939,0.00006423723,0.007971948,0.9827984,0.00001631567,0.00003406233,0.00002809375,0.006714266],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9981221,"threshold_uncertainty_score":0.08409303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145915436304963,"score_gpt":0.2589875505721423,"score_spread":0.244396006941646,"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."}}