{"id":"W4206618985","doi":"10.3410/f.736859989.793567032","title":"Faculty Opinions recommendation of An interbacterial toxin inhibits target cell growth by synthesizing (p)ppApp.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; University of Chicago; National Institute of Allergy and Infectious Diseases; Jane Coffin Childs Memorial Fund for Medical Research; Argonne National Laboratory; Cisco Systems; U.S. Department of Energy; Howard Hughes Medical Institute","keywords":"Effector; Bacteria; Metabolite; Secretion; Pathogen; Biology; Cell envelope; Cell growth; Cell biology; Microbiology; Biochemistry; Genetics; Escherichia coli; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001994131,0.0008695555,0.000794233,0.002022192,0.002137238,0.005732929,0.001573192,0.004596771,0.6988001],"category_scores_gemma":[0.00649369,0.0004484829,0.001057196,0.002357125,0.0007397193,0.002346372,0.00174181,0.002730253,0.4641549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002850887,"about_ca_system_score_gemma":0.006638942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00563359,"about_ca_topic_score_gemma":0.01320089,"domain_scores_codex":[0.9975696,0.0001453231,0.0001238898,0.0002871259,0.001594658,0.00027929],"domain_scores_gemma":[0.9913823,0.0003497128,0.0004188732,0.0004173616,0.004873763,0.002558053],"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":[0.00004913275,0.00004814877,0.0003372152,0.000269815,0.000008600042,0.0001183522,0.00003427458,0.0000372325,0.001628446,0.001262221,0.9270207,0.06918589],"study_design_scores_gemma":[0.00001060605,0.0000228525,0.0003756598,0.00008725697,0.000006318366,0.000046756,0.00004832008,0.00003369604,0.0004123003,0.0004283928,0.9985209,0.000006891251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001615953,0.008100547,0.002472749,0.0749063,0.07421923,0.0005280757,0.01049541,0.001716697,0.8259451],"genre_scores_gemma":[0.005890025,0.009119218,0.002165525,0.0125957,0.01543193,0.0001184228,0.00495095,0.0005104397,0.9492178],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6988001,"threshold_uncertainty_score":0.429625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621576181474724,"score_gpt":0.312153539093396,"score_spread":0.2959377772786488,"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."}}