{"id":"W4211038882","doi":"10.3390/antibiotics11020212","title":"Contribution of Governance and Socioeconomic Factors to the P. aeruginosa MDR in Europe","year":2022,"lang":"en","type":"article","venue":"Antibiotics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Georgian College","funders":"","keywords":"Pooling; Corporate governance; Panel data; Language change; Antibiotic resistance; Pseudomonas aeruginosa; Socioeconomic status; Business; Medicine; Environmental health; Computer science; Antibiotics; Econometrics; Economics; Biology; Artificial intelligence; Microbiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001777535,0.00007792492,0.000162343,0.00002545591,0.0001653592,0.000004571608,0.0001558572,0.00004606904,0.0001072198],"category_scores_gemma":[0.00005556132,0.00005852037,0.00002500501,0.0001224194,0.0001170016,0.00002294814,0.0001491165,0.0001852321,0.00004361854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002957957,"about_ca_system_score_gemma":0.00003387725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001577524,"about_ca_topic_score_gemma":0.0001484937,"domain_scores_codex":[0.9993738,0.000101228,0.0001807076,0.0001481096,0.00002295325,0.0001732068],"domain_scores_gemma":[0.999632,0.00008363843,0.0000963097,0.0001498636,0.00002927566,0.000008905719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000175179,0.0002325511,0.7740595,0.00003530077,0.0001280939,0.00001067774,0.002139347,0.000241052,0.1785693,0.0313945,0.01178814,0.001226449],"study_design_scores_gemma":[0.0007685646,0.0002070337,0.8170026,0.00002673889,0.0000256305,0.0000137841,0.001039938,0.00001503599,0.09606233,0.00005907083,0.08460411,0.000175154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959865,0.002078626,0.00004007726,0.001076795,0.0003753864,0.0001452712,0.00009045535,0.000008950749,0.000197934],"genre_scores_gemma":[0.9986408,0.0003588097,0.00001058928,0.0002425968,0.000008633752,1.256602e-7,0.00002346807,0.000006416261,0.0007085745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08250692,"threshold_uncertainty_score":0.2386392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006411140928655928,"score_gpt":0.2112634267983104,"score_spread":0.2048522858696544,"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."}}