{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649425,0.0006810695,0.0005316741,0.001403325,0.0004034129,0.001049383,0.0009992499,0.001004936,0.003251556],"category_scores_gemma":[0.001492412,0.0003375635,0.0004201733,0.001315769,0.0006086882,0.002276073,0.0004718308,0.001340087,0.001925492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007923397,"about_ca_system_score_gemma":0.0009337127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005421349,"about_ca_topic_score_gemma":0.000318086,"domain_scores_codex":[0.9987589,0.0002234068,0.00004858971,0.0003300746,0.0005635777,0.00007545816],"domain_scores_gemma":[0.9988443,0.0002967854,0.00006830089,0.00007703585,0.0006465073,0.00006696591],"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":[0.0002720981,0.0003293185,0.002008032,0.002537801,0.00006436007,0.0003431242,0.0004660572,0.001092338,0.3841147,0.07367217,0.006873606,0.5282264],"study_design_scores_gemma":[0.00004102549,0.0007587115,0.001751396,0.0004199508,0.0000670334,0.001535028,0.0002105055,0.00642356,0.6755208,0.0149711,0.2982151,0.00008587762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0702353,0.2831011,0.5624723,0.004711797,0.002739731,0.0003367853,0.0003444725,0.0008346342,0.0752239],"genre_scores_gemma":[0.234591,0.2713186,0.4236605,0.002530386,0.00190104,0.0004638925,0.0008010521,0.0002086965,0.06452473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003251556,"threshold_uncertainty_score":0.01087755,"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."}}