{"id":"W3081106860","doi":"10.1002/jctb.6556","title":"An edible genipin‐based sensor for biogenic amine detection","year":2020,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Genipin; Food spoilage; Cadaverine; Chemistry; Biogenic amine; Putrescine; Food science; Sulfite; Amine gas treating; Tyramine; Shelf life; Trimethylamine; Chromatography; Organic chemistry; Biochemistry; Bacteria; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001586951,0.0005028647,0.0002407744,0.0002430907,0.0001100228,0.0002255045,0.0004541921,0.0006675896,0.0006908735],"category_scores_gemma":[0.0001797882,0.0002006989,0.0001961557,0.0001703433,0.0002580551,0.000240762,0.0002509639,0.0004195811,0.0002462972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000363241,"about_ca_system_score_gemma":0.0001101804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004513857,"about_ca_topic_score_gemma":0.0007420658,"domain_scores_codex":[0.9998449,0.00002230802,0.000006918852,0.00005004029,0.00005697786,0.00001888118],"domain_scores_gemma":[0.9999011,0.00002507945,0.00002943445,0.000007046364,0.00002325157,0.00001411194],"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":[0.0000101004,0.000002997533,0.00003767935,0.00003049193,0.000001581677,0.00001320168,0.00000322462,0.00003135212,0.999247,0.00001571891,0.00001668648,0.0005901195],"study_design_scores_gemma":[0.000003142632,0.00006236412,0.0005034872,0.000004244672,0.000006370294,0.00008724919,0.000005864076,0.001041695,0.9975449,0.00001007115,0.0007255496,0.000004963926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271432,0.004190151,0.06392819,0.0003015085,0.0001230495,0.00009629689,0.0004900909,0.0004545315,0.003273013],"genre_scores_gemma":[0.941542,0.001458694,0.05269727,0.0001928568,0.00001662153,0.0000678158,0.0002684644,0.00002941751,0.003726808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006908735,"threshold_uncertainty_score":0.002635539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060223667285919,"score_gpt":0.2599377929367224,"score_spread":0.2493355562638632,"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."}}