{"id":"W2752322097","doi":"10.1038/s41467-017-00599-0","title":"Discovery of a proteolytic flagellin family in diverse bacterial phyla that assembles enzymatically active flagella","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Waterloo; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Flagellin; Flagellum; Biology; Proteolytic enzymes; Proteolysis; Biochemistry; Extracellular; Cell biology; Microbiology; Enzyme; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000315854,0.0003393168,0.0002262555,0.0005928763,0.0002418172,0.0004963599,0.0002405348,0.0005357721,0.0003687385],"category_scores_gemma":[0.0002954713,0.0001682268,0.0003568724,0.0004106313,0.0002690614,0.0003429165,0.0003716388,0.0005246024,0.0002713432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003951722,"about_ca_system_score_gemma":0.0003202971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004697608,"about_ca_topic_score_gemma":0.0005030941,"domain_scores_codex":[0.999788,0.00001637609,0.00001165891,0.00006553793,0.00008602205,0.00003236263],"domain_scores_gemma":[0.9998381,0.00002208969,0.00005525786,0.00001417571,0.00003537673,0.00003483956],"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":[0.00004931206,0.0000185881,0.001374125,0.00007834217,0.000006588682,0.0001302813,0.00002677231,0.0001108809,0.9827624,0.0002336823,0.0001223527,0.01508671],"study_design_scores_gemma":[0.00001073855,0.0002185222,0.0221175,0.00002735984,0.00003550998,0.001716024,0.00006600211,0.001941751,0.9572658,0.0003096953,0.01627382,0.00001739456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425299,0.01440077,0.03685913,0.0009825479,0.000116344,0.00009690272,0.001012589,0.0002965132,0.003705514],"genre_scores_gemma":[0.924798,0.009458493,0.05879174,0.0004053457,0.00006249813,0.0000650029,0.002395438,0.00004671724,0.003976853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005928763,"threshold_uncertainty_score":0.002867222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03362933718821808,"score_gpt":0.2772056779442946,"score_spread":0.2435763407560765,"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."}}