{"id":"W2091079633","doi":"10.1117/12.417224","title":"&lt;title&gt;Optoelectronic biosensor for remote monitoring of toxins&lt;/title&gt;","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Biosensor; Bioluminescence; Population; Transducer; Radio frequency; Telemetry; Environmental science; Optoelectronics; Materials science; Physics; Nanotechnology; Telecommunications; Computer science; Acoustics; Biology; Ecology","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":[0.0001913552,0.0004181666,0.0003100838,0.0005826351,0.00038962,0.0009048734,0.0005773811,0.0008500281,0.0602194],"category_scores_gemma":[0.0001754544,0.000208568,0.000165888,0.0003690928,0.0002345856,0.0006912466,0.00027449,0.0004816359,0.03302405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005464499,"about_ca_system_score_gemma":0.0003105904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005789536,"about_ca_topic_score_gemma":0.001282396,"domain_scores_codex":[0.999856,0.00001193062,0.000007143926,0.00002849089,0.00007370168,0.00002280075],"domain_scores_gemma":[0.9998522,0.0000122201,0.00001406415,0.00001904462,0.00007529471,0.00002718791],"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":[0.000305204,0.000187467,0.0007771818,0.0004122056,0.0000150223,0.0003758202,0.00006842536,0.0006232967,0.5397779,0.01204994,0.1775736,0.267834],"study_design_scores_gemma":[0.00003231893,0.000294005,0.001599804,0.00004983553,0.00001289523,0.0004102403,0.0000393959,0.003951747,0.3916033,0.0008140937,0.6011583,0.00003410907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08908888,0.01606616,0.2228575,0.006347253,0.01613932,0.0009122653,0.004268299,0.01574013,0.6285802],"genre_scores_gemma":[0.1197523,0.00395876,0.04184654,0.0009273726,0.0007997891,0.0001869276,0.00148719,0.0007837477,0.8302572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0602194,"threshold_uncertainty_score":0.2014539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233700208910019,"score_gpt":0.2546880994455905,"score_spread":0.2423510973564903,"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."}}