{"id":"W2067570269","doi":"10.1080/87559129.2011.563393","title":"Microbial Biosensors for Environmental Monitoring and Food Analysis","year":2011,"lang":"en","type":"article","venue":"Food Reviews International","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; University of Calgary","keywords":"Biosensor; Biochemical engineering; Biotechnology; Food safety; Environmental science; Nanotechnology; Biology; Engineering; Food science; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001362291,0.0001063169,0.000137254,0.00006077242,0.00004431931,0.0000145245,0.0001884211,0.00007624635,0.00005015117],"category_scores_gemma":[0.00003932309,0.0000933965,0.0001650104,0.00006237536,0.00006931392,0.000006654362,0.00008806162,0.0000451236,0.000006920076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001202682,"about_ca_system_score_gemma":0.00000873248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002087644,"about_ca_topic_score_gemma":0.000006857212,"domain_scores_codex":[0.9992892,0.00001758688,0.0001866459,0.0002716799,0.00008435242,0.0001505674],"domain_scores_gemma":[0.9997016,0.000004783005,0.00006521243,0.0001471074,0.00002539656,0.00005596286],"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":[0.00005298557,0.0001051706,0.06520702,0.00003635644,0.0006253479,3.60516e-7,0.00006810286,1.612295e-7,0.9199549,0.0000386571,0.0006238907,0.01328702],"study_design_scores_gemma":[0.0004211367,0.0005401784,0.01175241,0.00003073693,0.0001357604,0.00001134608,0.00008364699,0.00001870473,0.8756137,0.00002134191,0.1111382,0.0002327533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920792,0.005720185,0.0008350631,0.00008279538,0.0002298619,0.0003193791,0.0001337978,0.000005730889,0.0005939747],"genre_scores_gemma":[0.9924981,0.004198308,0.002107575,0.00003945265,0.0003688102,0.00006073776,0.0001854391,0.000009509797,0.0005320611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105144,"threshold_uncertainty_score":0.3808599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04692815713217295,"score_gpt":0.2893206034480161,"score_spread":0.2423924463158431,"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."}}