{"id":"W2790645581","doi":"10.3390/bioengineering5010020","title":"Microbiological Sensing Technologies: A Review","year":2018,"lang":"en","type":"review","venue":"Bioengineering","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Risk analysis (engineering); Biochemical engineering; Human health; Computer science; Data science; Biotechnology; Engineering; Business; Medicine; Biology; Environmental health","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":[0.0007204463,0.001545764,0.001266422,0.004093776,0.0005075251,0.001676959,0.001137906,0.001286555,0.005490938],"category_scores_gemma":[0.001022171,0.0005051555,0.0007439357,0.003900023,0.0005061532,0.002423591,0.0009448243,0.001821029,0.003443323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00058605,"about_ca_system_score_gemma":0.001328239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009469147,"about_ca_topic_score_gemma":0.001160075,"domain_scores_codex":[0.9995366,0.00004637516,0.00006069367,0.00008605891,0.0002270667,0.00004316861],"domain_scores_gemma":[0.9994023,0.0002908616,0.00008470433,0.00002269019,0.0001644605,0.0000350174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004177446,0.0001423636,0.0002514114,0.03201442,0.00006240151,0.0002469695,0.0001267302,0.0004370242,0.007791751,0.00578756,0.02421994,0.9288777],"study_design_scores_gemma":[0.000003283169,0.00006859304,0.0003878052,0.002939873,0.00005845554,0.0009078434,0.00007543298,0.0001158924,0.001916854,0.001434966,0.9920683,0.00002280543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002343756,0.9965147,0.0005019274,0.0002092545,0.0003466645,0.00001130173,0.00003398382,0.00001502186,0.002132781],"genre_scores_gemma":[0.00100888,0.9967784,0.0007273218,0.0001334673,0.0001718282,0.00001245389,0.00004865819,0.000003439427,0.001115587],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005490938,"threshold_uncertainty_score":0.01836896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332835644380285,"score_gpt":0.2664549231313908,"score_spread":0.233126566687588,"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."}}