{"id":"W3123266606","doi":"10.20944/preprints201904.0166.v1","title":"Functional Characterization of Outer Membrane Proteins (OMPs) in <em>Xenorhabdus nematophila</em> and <em>Photorhabdus luminescens</em> through Insect Immune Defense Reactions<strong> </strong>","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Iran National Science Foundation; National Science Foundation","keywords":"Photorhabdus luminescens; Biology; Microbiology; Photorhabdus; Xenorhabdus; Galleria mellonella; Antimicrobial peptides; Immune system; Bacterial outer membrane; Spodoptera; Virulence; Antimicrobial; Insect; Immunology; Biochemistry; Botany; Escherichia coli; Recombinant DNA","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00326269,0.002557913,0.003306798,0.000525789,0.0007831337,0.0004981281,0.002630879,0.002535689,0.004295644],"category_scores_gemma":[0.001237991,0.001773316,0.00133886,0.001560153,0.0006724515,0.001297198,0.003702644,0.002633551,0.001243444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001782,"about_ca_system_score_gemma":0.0005743857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003983644,"about_ca_topic_score_gemma":0.001996818,"domain_scores_codex":[0.9848217,0.001448025,0.004171464,0.00467319,0.002539663,0.002345904],"domain_scores_gemma":[0.9913309,0.0006059807,0.003414254,0.002483502,0.001472535,0.0006928738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001122104,0.001333043,0.02233583,0.0006912385,0.0005770101,0.00010861,0.001604911,0.0003154126,0.9686692,0.001092347,0.0001314826,0.002018771],"study_design_scores_gemma":[0.004533689,0.0006307113,0.7684711,0.001666286,0.0007222538,0.000615111,0.0003588518,0.0006855153,0.1943777,0.0008215858,0.02344978,0.003667449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835429,0.001277592,0.0003701451,0.0009569426,0.003282382,0.006721646,0.001425929,0.0006583781,0.001764056],"genre_scores_gemma":[0.9873601,0.001308071,0.0006218453,0.0003101163,0.001703002,0.001279481,0.002788045,0.0001234328,0.004505894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7742915,"threshold_uncertainty_score":0.9996674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04040108261960045,"score_gpt":0.248452417487467,"score_spread":0.2080513348678665,"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."}}