{"id":"W4391444240","doi":"10.1101/2024.01.31.578182","title":"Diversification of molecular pattern recognition in bacterial NLR-like proteins","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Deutsche Forschungsgemeinschaft","keywords":"Biology; Protein subunit; Pattern recognition receptor; Phage display; Bacteriophage; Escherichia coli; Genetics; Molecular biology; Microbiology; Cell biology; Gene; Innate immune system; Receptor; Antibody","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002054407,0.0002480004,0.0001844084,0.0002275783,0.000116455,0.0004044921,0.0001669145,0.0003858776,0.0006105204],"category_scores_gemma":[0.0001724581,0.0001162814,0.0002487698,0.0001974223,0.0002010162,0.0002165052,0.0003228718,0.0004809932,0.0004950108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296897,"about_ca_system_score_gemma":0.0000822968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001251365,"about_ca_topic_score_gemma":0.0001405767,"domain_scores_codex":[0.9998635,0.00002459767,0.00001190466,0.00003733762,0.00003446944,0.00002812525],"domain_scores_gemma":[0.999871,0.00002187182,0.0000320855,0.00002411353,0.0000210352,0.00002998305],"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":[0.00007764766,0.0000103605,0.001189197,0.00001364589,0.000005217799,0.00008172955,0.00001282756,0.00007917987,0.99748,0.00009701636,0.000020302,0.0009327993],"study_design_scores_gemma":[0.00003022175,0.0003540466,0.07993357,0.00001327852,0.00003242212,0.003840748,0.0001401761,0.004098436,0.9044224,0.0004585463,0.006656236,0.00001997166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970408,0.0003435464,0.001660741,0.00005169975,0.000008028957,0.000006972679,0.0001591386,0.00003270831,0.0006962464],"genre_scores_gemma":[0.9951296,0.0001622184,0.002638711,0.00009046069,0.000007579962,0.00001052435,0.0006958438,0.00002201873,0.001243124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006105204,"threshold_uncertainty_score":0.002042413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194743414912231,"score_gpt":0.2056436984935159,"score_spread":0.1936962643443936,"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."}}