{"id":"W2139122604","doi":"10.1080/21505594.2015.1048958","title":"Virulence factors as predictive tools for drug resistance in Pseudomonas aeruginosa","year":2015,"lang":"en","type":"letter","venue":"Virulence","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pseudomonas aeruginosa; Pathogen; Virulence; Pneumonia; Microbiology; Biology; Drug resistance; Opportunistic pathogen; Human pathogen; Antibiotic resistance; Virulence factor; Antibiotics; Virology; Medicine; Bacteria; Internal medicine; Gene","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":[0.004463616,0.000855059,0.001485106,0.0009737218,0.0008777719,0.002167059,0.001177221,0.01311687,0.001534773],"category_scores_gemma":[0.01914213,0.0005666235,0.0009206758,0.0006807023,0.001965044,0.001609001,0.0008992579,0.01392767,0.001933223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539297,"about_ca_system_score_gemma":0.0008182069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718915,"about_ca_topic_score_gemma":0.002671315,"domain_scores_codex":[0.9970487,0.001533103,0.0004016198,0.0002368436,0.0005730607,0.000206772],"domain_scores_gemma":[0.9879851,0.008565244,0.0005402843,0.0004593439,0.001783785,0.0006663066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001395066,0.0004097713,0.04995665,0.0004420179,0.0001688684,0.01803592,0.0006537001,0.0006298742,0.00448226,0.009441057,0.7486884,0.1656965],"study_design_scores_gemma":[0.001632832,0.001943812,0.06298757,0.002388256,0.000580937,0.03472394,0.001568565,0.01902058,0.005764008,0.07593782,0.7930495,0.0004022633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007738816,0.01755912,0.0009333236,0.9525995,0.01772794,0.00003198696,0.000132103,0.0000620198,0.003215207],"genre_scores_gemma":[0.1309587,0.02533345,0.002939709,0.664425,0.166592,0.0001665808,0.0002155105,0.00005651833,0.009312474],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01311687,"threshold_uncertainty_score":0.02360612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076858831195402,"score_gpt":0.2689134857892898,"score_spread":0.2481448974773357,"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."}}