{"id":"W3048766102","doi":"10.1016/j.mimet.2020.106023","title":"Comparative assessment of growth media and incubation conditions for enhanced recovery and isolation of Acinetobacter baumannii from aquatic matrices","year":2020,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Ottawa; Ministry of the Environment, Conservation and Parks; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Acinetobacter baumannii; Incubation; Effluent; Agar; Microbiology; Wastewater; Biology; Food science; Bacteria; Environmental engineering; Pseudomonas aeruginosa; Environmental science; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003688091,0.00008554742,0.0003554883,0.00002837997,0.00002081072,0.000008338013,0.00007048651,0.0001122114,0.00001164376],"category_scores_gemma":[0.0004446552,0.0000619343,0.00006416324,0.00004480485,0.0001157336,0.00001147972,0.00003670871,0.00006717593,5.542126e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007099115,"about_ca_system_score_gemma":0.00002717799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001607205,"about_ca_topic_score_gemma":0.000001448153,"domain_scores_codex":[0.9990422,0.0002768878,0.0004527923,0.0001287574,0.00003631085,0.00006304447],"domain_scores_gemma":[0.9986414,0.0004573505,0.0006505422,0.0000485031,0.0001609007,0.00004128679],"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":[0.0002766387,0.00002942649,0.0069894,0.00003132244,0.00009258919,1.250295e-7,0.0001127909,0.000006772436,0.9919527,0.00003480541,0.00008238047,0.0003911049],"study_design_scores_gemma":[0.0008061363,0.001509378,0.1581685,0.00005492256,0.0001013167,0.000004586042,0.0002300782,0.0001895699,0.8365173,0.002257692,0.00006771223,0.00009287046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7337072,0.0003998514,0.2655597,0.0001011743,0.00004767384,0.00009732305,0.00007267994,8.087621e-7,0.00001364458],"genre_scores_gemma":[0.7111907,0.0003328588,0.2883117,0.00004579253,0.00006029848,8.615129e-7,0.00005386695,0.000002686555,0.000001284206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1554354,"threshold_uncertainty_score":0.2525607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04148299485480306,"score_gpt":0.3773933009264252,"score_spread":0.3359103060716221,"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."}}