{"id":"W4413838465","doi":"10.24908/iqurcp19831","title":"Identifying Antimicrobial Resistant Bacteria in Wastewater Influent Samples","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Wastewater; Bacteria; Antimicrobial; Microbiology; Environmental science; Biology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001061925,0.001106343,0.0009836977,0.003202686,0.0007783148,0.001682361,0.0007685796,0.001565862,0.003147092],"category_scores_gemma":[0.001282511,0.0003996906,0.0007531382,0.002288507,0.000542208,0.0005812299,0.0009057296,0.0006453761,0.002464808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004614598,"about_ca_system_score_gemma":0.0006888417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002657071,"about_ca_topic_score_gemma":0.005038625,"domain_scores_codex":[0.9962054,0.0003644603,0.000388298,0.0009166368,0.001852812,0.0002723072],"domain_scores_gemma":[0.9990957,0.0001479892,0.0002094065,0.00004887677,0.0004455341,0.00005247899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003633043,0.0004023984,0.1082805,0.001540111,0.00006887683,0.0005423569,0.0009207628,0.0004339488,0.8340905,0.0002326074,0.001447475,0.05167721],"study_design_scores_gemma":[0.00003926936,0.001530202,0.2710229,0.0007006823,0.0001865286,0.002266864,0.002551264,0.004014904,0.6794204,0.0006206309,0.03752118,0.0001252898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133109,0.004692018,0.03758133,0.0007975669,0.0003276759,0.002128266,0.02413264,0.001760103,0.01526947],"genre_scores_gemma":[0.809549,0.004974637,0.1379235,0.001095597,0.0001504586,0.002050306,0.02465522,0.0002626117,0.01933856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003202686,"threshold_uncertainty_score":0.01052809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109949479177305,"score_gpt":0.3826782273368272,"score_spread":0.2716832794190966,"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."}}