{"id":"W4403141753","doi":"10.1101/2024.10.03.616553","title":"Aquifer microbial communities are highly variable in response to thermal arsenic mobilization","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada); Carleton University; University of Waterloo","funders":"","keywords":"Mobilization; Arsenic; Aquifer; Environmental science; Variable (mathematics); Geology; Groundwater; Political science; Chemistry; Geotechnical engineering; Mathematics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001340049,0.0002080423,0.0002051833,0.0004964969,0.0004175641,0.0006234735,0.0001733885,0.0002150037,0.0006057064],"category_scores_gemma":[0.0002584202,0.0002025019,0.0001057414,0.0005928472,0.0003018651,0.0001735448,0.000376103,0.0001549929,0.0001382619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006575906,"about_ca_system_score_gemma":0.0004179012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04466182,"about_ca_topic_score_gemma":0.09449534,"domain_scores_codex":[0.9997886,0.00001359132,0.000008919604,0.00006165711,0.00006749138,0.00005981355],"domain_scores_gemma":[0.9998156,0.0000170944,0.00004692427,0.000007759554,0.00007056801,0.00004203449],"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":[0.0003438268,0.00003760629,0.1450894,0.00004161834,0.00003041314,0.0001047123,0.001022811,0.0002984268,0.8481209,0.00005355605,0.00009338132,0.00476334],"study_design_scores_gemma":[0.000003989017,0.0001135502,0.9731457,0.000004848232,0.00001597023,0.00009092894,0.001227369,0.0004154452,0.02433356,0.00003703025,0.000603294,0.000008391882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993037,0.00002868464,0.0001191861,0.000007267124,8.812768e-7,0.000005217717,0.0002415167,0.000007563152,0.0002860816],"genre_scores_gemma":[0.998552,0.00004424531,0.000265964,0.00001233439,9.312498e-7,0.00001149253,0.0004701309,0.000002683134,0.0006401754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04466182,"threshold_uncertainty_score":0.08880371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009788189810521018,"score_gpt":0.2061977453688095,"score_spread":0.1964095555582885,"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."}}