{"id":"W4411782464","doi":"10.3390/microorganisms13071528","title":"Meta-Transcriptomic Response to Copper Corrosion in Drinking Water Biofilms","year":2025,"lang":"en","type":"article","venue":"Microorganisms","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta; Office of Research and Development; U.S. Environmental Protection Agency","keywords":"Biofilm; Microbiology; Biology; Transcriptome; Bacteria; Gene; Virulence; Microbial population biology; Chemistry; Biochemistry; Gene expression; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002277452,0.0003527501,0.000478983,0.0004773637,0.0002887099,0.0005079343,0.0001735698,0.0004000047,0.0004413303],"category_scores_gemma":[0.000324451,0.0001978187,0.0004345083,0.0004601857,0.0001847037,0.0002505257,0.0003805569,0.0004100988,0.0001897501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873314,"about_ca_system_score_gemma":0.0003041501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251924,"about_ca_topic_score_gemma":0.001397439,"domain_scores_codex":[0.9997364,0.00003562372,0.00001292481,0.00009186492,0.00007605476,0.00004721843],"domain_scores_gemma":[0.9998322,0.00003224855,0.00003762989,0.00001210916,0.00006234607,0.00002342053],"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":[0.0001047476,0.00001194367,0.002544142,0.00004655557,0.00001114581,0.00002641954,0.0001032017,0.00008243287,0.995602,0.00002015086,0.00002004902,0.001427119],"study_design_scores_gemma":[0.00002086676,0.0009353149,0.378778,0.00004577439,0.0002220574,0.0004985393,0.001604604,0.006930665,0.6058597,0.0004360579,0.004614282,0.00005421358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951797,0.0006145687,0.002097731,0.00006030246,0.00001602015,0.0000305383,0.00139138,0.00003438514,0.0005753486],"genre_scores_gemma":[0.9891178,0.0007364886,0.004848381,0.0001309409,0.0000207016,0.0001321502,0.002903783,0.00002633112,0.002083395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001251924,"threshold_uncertainty_score":0.002489269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258493514139771,"score_gpt":0.2229084314095801,"score_spread":0.2103234962681824,"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."}}