{"id":"W2493993330","doi":"10.1049/pbhe001e_ch10","title":"Optical biosensors for the detection of food borne pathogens","year":2016,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biosensor; Nanotechnology; Microfluidics; Ideal (ethics); Biochemical engineering; Materials science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006858156,0.0001980263,0.0002807718,0.0003181035,0.00004438323,0.00000432566,0.00008291362,0.0005842508,0.00000166544],"category_scores_gemma":[0.00005038887,0.0001450022,0.00009992695,0.00003206962,0.0003001375,0.00001499933,0.00002359136,0.0002313969,0.000001237521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002893667,"about_ca_system_score_gemma":0.00001035952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.215026e-7,"about_ca_topic_score_gemma":0.000003236657,"domain_scores_codex":[0.9993336,0.000001075562,0.0002935306,0.000152679,0.00007565012,0.0001434193],"domain_scores_gemma":[0.999546,0.000074519,0.00006106702,0.0002046871,0.0000839676,0.00002979152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001025013,0.000003155436,3.845829e-7,0.0002220584,0.0002148339,0.000001215314,0.000005369286,0.0006280496,0.2048408,0.6988086,0.000004634488,0.09526072],"study_design_scores_gemma":[0.0007324451,0.0006597164,0.0000212955,0.0007657891,0.0003707071,0.00007885917,0.00001054859,0.02392141,0.8420715,0.01618953,0.1146025,0.0005757073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03930625,0.009770569,0.7947977,0.0006652428,0.003739916,0.002487839,0.0007893391,0.003127012,0.1453162],"genre_scores_gemma":[0.997384,0.0001955015,0.0003505968,0.000001782275,0.00006703364,0.00001784482,0.000001101634,0.00003409055,0.001948039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9580778,"threshold_uncertainty_score":0.5913017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00883714616037622,"score_gpt":0.1783787537951499,"score_spread":0.1695416076347736,"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."}}