{"id":"W2751927667","doi":"10.1016/j.envpol.2017.08.053","title":"Role of heavy metals in structuring the microbial community associated with particulate matter in a tropical estuary","year":2017,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Kerala State Council for Science, Technology and Environment; National Research Council Canada; National Institute of Oceanography, India; Cochin University of Science and Technology; University Grants Commission","keywords":"Particulates; Estuary; Environmental science; Heavy metals; Structuring; Ecology; Environmental chemistry; Biology; Chemistry; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001546197,0.00007087437,0.0001108491,0.00001806921,0.0002308409,0.00002024685,0.0001606762,0.00003273504,0.0006643006],"category_scores_gemma":[0.000007463668,0.0000478555,0.00003226156,0.00003122791,0.000185283,0.0001272242,0.00002860748,0.0001590943,0.00001902387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001560219,"about_ca_system_score_gemma":0.000003220814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005542865,"about_ca_topic_score_gemma":0.01252558,"domain_scores_codex":[0.9993942,0.000126643,0.0001448175,0.00008603728,0.0001026552,0.0001456675],"domain_scores_gemma":[0.9996762,0.00001745992,0.00009537225,0.0001866739,6.383356e-7,0.00002359846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004260946,0.00004633754,0.9852688,0.000002067903,0.00001715231,0.000001775613,0.0001944523,0.002102908,0.01149554,3.991154e-7,0.00000237403,0.0008256354],"study_design_scores_gemma":[0.0003135708,0.0000313237,0.9827893,0.00001495334,0.00001634353,0.000002794878,0.0004904072,0.0009002486,0.01520578,0.0001714702,0.000005974438,0.00005786789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993476,0.00004726028,8.740643e-7,0.0001859671,0.00001007595,0.00006669698,0.00005075679,0.000001886139,0.0002888319],"genre_scores_gemma":[0.9998335,0.000005157545,0.00001547763,0.00004410409,0.000007738239,8.170466e-7,0.00006915406,0.000001220505,0.00002280088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006982717,"threshold_uncertainty_score":0.837919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006993893421875803,"score_gpt":0.1792094420414251,"score_spread":0.1722155486195492,"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."}}