{"id":"W2611205571","doi":"10.2142/biophys.52.s22_6","title":"1C1400 New colorimetric sandwich assay for detection of pathogens by using antimicrobial peptides as detection probes(Proteins: Measurement, Analysis, Engineering,Oral Presentation,The 50th Annual Meeting of the Biophysical Society of Japan)","year":2012,"lang":"en","type":"article","venue":"Seibutsu Butsuri","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga Meat Packers (Canada)","funders":"","keywords":"Presentation (obstetrics); Antimicrobial; Antimicrobial peptides; Microbiology; Computational biology; Medicine; Biology; Surgery","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":[0.003397077,0.00472924,0.002114899,0.003930507,0.0009646082,0.001507816,0.004278304,0.003036661,0.00995905],"category_scores_gemma":[0.002030157,0.001727361,0.001602067,0.001583932,0.0008251196,0.001721558,0.002277216,0.005117542,0.00670988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190598,"about_ca_system_score_gemma":0.00115081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005265601,"about_ca_topic_score_gemma":0.001365659,"domain_scores_codex":[0.9940917,0.001489251,0.0004188879,0.001700296,0.001863059,0.0004367754],"domain_scores_gemma":[0.9983649,0.0004412963,0.0002153831,0.0001829139,0.00058119,0.0002143356],"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":[0.0002584244,0.0002849269,0.0005363012,0.0005738128,0.0000790494,0.00008085412,0.00007075551,0.0001964833,0.9715533,0.0009211248,0.005872689,0.01957221],"study_design_scores_gemma":[0.00008703035,0.0008868701,0.002818485,0.0001521142,0.0001100392,0.0008931524,0.00006383753,0.009370127,0.9544261,0.0005178655,0.03053457,0.0001398784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1443991,0.02995761,0.7627758,0.002043053,0.004987926,0.002522815,0.00719058,0.01728687,0.02883641],"genre_scores_gemma":[0.1875568,0.01399619,0.7089043,0.003296403,0.0007748017,0.005504018,0.02058081,0.0006211124,0.05876555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00995905,"threshold_uncertainty_score":0.03331631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502899536862136,"score_gpt":0.2244616365126889,"score_spread":0.2094326411440675,"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."}}