{"id":"W4302773979","doi":"10.1111/gcb.16472","title":"Unique microbiome in organic matter–polluted urban rivers","year":2022,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Organic matter; Environmental science; Eutrophication; Microbial population biology; Pollution; Community structure; Ecology; Nutrient; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001666537,0.0002083278,0.0004319262,0.0007296973,0.0004239939,0.0006324481,0.0001209457,0.0002624442,0.0003845508],"category_scores_gemma":[0.0002399126,0.0002070264,0.0001878875,0.0006791788,0.0003980819,0.0002459091,0.0007652117,0.0001477342,0.00006686792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001695295,"about_ca_system_score_gemma":0.0003076498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139888,"about_ca_topic_score_gemma":0.004791441,"domain_scores_codex":[0.999727,0.00004131833,0.00002674534,0.0001238043,0.00003778483,0.00004342149],"domain_scores_gemma":[0.9998349,0.0000176963,0.00007593194,0.00001281862,0.00002743822,0.00003123613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000354257,0.0001033059,0.6838152,0.0001666954,0.00008861689,0.0003733851,0.00162132,0.0003219835,0.3040895,0.0001356993,0.00008692551,0.008843133],"study_design_scores_gemma":[0.000005618338,0.0001019971,0.9923921,0.000008467288,0.00003254497,0.000276962,0.001292782,0.0004208322,0.0048923,0.00006599618,0.0005007465,0.000009639321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996243,0.00006112771,0.0001106669,0.00000448646,7.543808e-7,0.000003264075,0.00008766107,0.000001781939,0.0001060815],"genre_scores_gemma":[0.9990389,0.00009022749,0.0004056355,0.00001709281,0.00000229905,0.00001115801,0.0002310674,0.000002776193,0.0002009174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002139888,"threshold_uncertainty_score":0.004254818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615935668174939,"score_gpt":0.2314734968532155,"score_spread":0.2153141401714661,"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."}}