{"id":"W1991416606","doi":"10.14205/2310-8703.2014.02.01.3","title":"Biosensors and their Applications for Ensuring Food Safety","year":2014,"lang":"en","type":"article","venue":"Global Journal of Pathology and Microbiology","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food safety; Risk analysis (engineering); Biosensor; Business; Computer science; Nanotechnology; Engineering; Biochemical engineering; Biology; Food science; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001678903,0.001094673,0.001016984,0.001331387,0.0007262293,0.002153313,0.001174553,0.003748546,0.004392678],"category_scores_gemma":[0.001659837,0.0006206287,0.0008717285,0.001282605,0.001652861,0.002888947,0.00156959,0.003083409,0.003203532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115509,"about_ca_system_score_gemma":0.0009659699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006133287,"about_ca_topic_score_gemma":0.0004722846,"domain_scores_codex":[0.9983089,0.0003700175,0.0000831908,0.0002584723,0.0008569674,0.0001224507],"domain_scores_gemma":[0.9991584,0.0002859655,0.00008663188,0.00005044362,0.0003675562,0.00005111169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001658688,0.0001573526,0.001104801,0.007744085,0.00009935478,0.0009479546,0.0008023257,0.003268406,0.2809973,0.1423815,0.02491477,0.5374162],"study_design_scores_gemma":[0.00002435507,0.0004427535,0.0008888617,0.001138439,0.00008725731,0.002428383,0.0005881649,0.005828386,0.1654259,0.0591673,0.7638468,0.0001334602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01249499,0.7429142,0.1610861,0.01599671,0.004480888,0.0001945289,0.000205341,0.000898118,0.06172915],"genre_scores_gemma":[0.1487359,0.6802315,0.1246837,0.005828851,0.002084018,0.0003672277,0.0002334023,0.0001091449,0.03772632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004392678,"threshold_uncertainty_score":0.01469499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004771118715649661,"score_gpt":0.1983726879458108,"score_spread":0.1936015692301611,"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."}}