{"id":"W2815360542","doi":"10.1016/j.mimet.2018.07.001","title":"Creation of a drug-sensitive reporter strain of Pseudomonas aeruginosa as a tool for the rapid screening of antimicrobial products","year":2018,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba; University of Florida","keywords":"Antimicrobial; Pseudomonas aeruginosa; Microbiology; Strain (injury); Bacteria; Antibiotics; Antibiotic resistance; Biology; Drug resistance; Biotechnology; Genetics","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":[0.0007563103,0.0008928027,0.0007437422,0.0008205773,0.000263555,0.0007094929,0.0007450209,0.0008919124,0.0009114206],"category_scores_gemma":[0.0006686698,0.0004358347,0.0006164514,0.0005669614,0.0004749582,0.0007185171,0.0007383145,0.001618296,0.0007238815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003009984,"about_ca_system_score_gemma":0.0003890727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004477316,"about_ca_topic_score_gemma":0.0006262073,"domain_scores_codex":[0.9990281,0.0001765779,0.00008001565,0.0001497569,0.000465449,0.0001001749],"domain_scores_gemma":[0.9994723,0.0001653613,0.0001333641,0.00007718609,0.00007486085,0.00007695633],"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":[0.00002161963,0.00003966539,0.00005670772,0.00001962986,0.000002261128,0.00002154405,0.000009992768,0.00002271338,0.9988469,0.00008629439,0.00002727561,0.0008454057],"study_design_scores_gemma":[0.00000731512,0.0001413866,0.0003479241,0.000003352385,0.000008720271,0.0001381267,0.00001709683,0.000563896,0.9978244,0.00003768858,0.0009036143,0.000006622616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8027204,0.001792055,0.1875387,0.001009251,0.0002574913,0.0004794899,0.002329717,0.001458405,0.002414533],"genre_scores_gemma":[0.8737351,0.001349664,0.1164819,0.0001871243,0.00005773933,0.0003499022,0.002705464,0.0002191623,0.004914033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009114206,"threshold_uncertainty_score":0.00399977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460265047209056,"score_gpt":0.3569948218955279,"score_spread":0.3123921714234373,"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."}}