{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008963907,0.0001932025,0.00009829849,0.0001168732,0.00006669674,0.0001274817,0.00007392967,0.0001412821,0.0003928587],"category_scores_gemma":[0.0000801479,0.00008250094,0.0001579595,0.00009012617,0.0001201234,0.0001373414,0.00009483076,0.0002347076,0.0001843877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374857,"about_ca_system_score_gemma":0.000084807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004920775,"about_ca_topic_score_gemma":0.0005000014,"domain_scores_codex":[0.9999459,0.000006923142,0.000006355578,0.00001281183,0.0000142124,0.000013936],"domain_scores_gemma":[0.9998982,0.0000134292,0.00004338579,0.000008556296,0.00001432474,0.00002212205],"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":[0.00002243881,0.000006912152,0.0002237353,0.000008091472,8.64326e-7,0.00001296957,0.00000512158,0.000005150007,0.9995265,0.000007839078,0.000004659544,0.000175779],"study_design_scores_gemma":[0.000007996814,0.0003901068,0.08585307,0.000006373318,0.00001977974,0.0003467072,0.00009514424,0.0004050923,0.9115565,0.00002852213,0.001285175,0.00000553827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984869,0.0002496799,0.0005528442,0.0000305484,0.000004073606,0.000007765864,0.0003166545,0.000006294479,0.0003452498],"genre_scores_gemma":[0.9942815,0.0003470078,0.001390801,0.00005374406,0.000005281709,0.00002674628,0.0012999,0.000009543503,0.00258542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004920775,"threshold_uncertainty_score":0.001314223,"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."}}