{"id":"W2364557739","doi":"","title":"Research on advanced glycation endproducts detecting methods","year":2008,"lang":"en","type":"article","venue":"Transducer and Microsystem Technologies","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Detector; Scheme (mathematics); Glycation; Computer science; Chemistry; Mathematics; Telecommunications","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":[0.001024669,0.0001672795,0.0001715803,0.0002399272,0.0004371388,0.0000210625,0.0003033939,0.0002378641,0.000003633803],"category_scores_gemma":[0.0005382795,0.0001493438,0.00003790728,0.0004479803,0.0003670311,0.00001191529,0.0001085632,0.0003885271,0.00001425736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003296003,"about_ca_system_score_gemma":0.00007501895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009427739,"about_ca_topic_score_gemma":0.000009028983,"domain_scores_codex":[0.9982191,0.0001968737,0.0002263982,0.0007209635,0.0002207663,0.0004159141],"domain_scores_gemma":[0.9988298,0.00009290574,0.00004915636,0.0006995982,0.0002898294,0.00003871376],"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":[0.00009965989,0.00002647926,0.0000833569,0.00007867166,0.00001563075,0.000002763833,0.0001518216,0.00002782826,0.9016204,0.0003159135,0.0001114434,0.09746607],"study_design_scores_gemma":[0.0003404077,0.0003275958,0.0003655694,0.0000337028,0.000002912893,0.0001077234,0.001696089,0.000003909086,0.9646801,0.0003003389,0.03197727,0.000164389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823602,0.006860382,0.007865462,0.0009675458,0.0001350048,0.0005919309,0.0000100203,0.0002574154,0.0009519695],"genre_scores_gemma":[0.9779235,0.00291885,0.01777597,0.00001973269,0.0000650843,0.0001143786,0.0000170738,0.00002972614,0.001135697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09730168,"threshold_uncertainty_score":0.6090066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07242725113674917,"score_gpt":0.4132659159681362,"score_spread":0.340838664831387,"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."}}