{"id":"W4380989908","doi":"10.1016/j.wsee.2023.06.002","title":"Abundance, geo-microbial role and community diversity of sulfate-reducing bacteria in tropical estuarine sediments","year":2023,"lang":"en","type":"article","venue":"Watershed Ecology and the Environment","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cambrian College","funders":"Kerala State Council for Science, Technology and Environment; Ministry of Environment, Forest and Climate Change","keywords":"Estuary; Diversity index; Phylogenetic diversity; Ecology; Sulfate; Alpha diversity; Biology; Species diversity; Species richness; Phylogenetics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007241591,0.0001284735,0.0002763527,0.00003936754,0.000710577,0.000004760632,0.0002661115,0.0001340873,0.001270462],"category_scores_gemma":[0.00001769982,0.00009939556,0.00003119318,0.00006739419,0.001517675,0.00006715707,0.002556778,0.0004627122,0.0001126523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006300848,"about_ca_system_score_gemma":0.000002669604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396548,"about_ca_topic_score_gemma":0.001375107,"domain_scores_codex":[0.9982564,0.001024185,0.0002055171,0.0001808234,0.0000479652,0.0002850496],"domain_scores_gemma":[0.9993449,0.0002816695,0.00007146153,0.0002554154,0.000001074883,0.0000454613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005141195,0.0002734025,0.9317192,0.00001542093,0.00004914221,0.000005532584,0.007202945,0.0009321165,0.05861256,0.0001414456,0.0001767753,0.0003573643],"study_design_scores_gemma":[0.0018531,0.0001622348,0.9928565,0.000003669413,0.00002003883,0.000005711101,0.0003885549,0.0001674936,0.001261694,0.002722561,0.0004623073,0.00009615757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989704,0.000009865483,0.000002187745,0.0004035333,0.00008022913,0.000221709,0.000006412183,0.0000118968,0.0002937216],"genre_scores_gemma":[0.9994045,0.0001510659,0.00004907436,0.0001504779,0.00000753783,0.00001088675,0.00003480979,0.00000559734,0.0001860404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0611373,"threshold_uncertainty_score":0.9996425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0087289596504595,"score_gpt":0.1892695581809145,"score_spread":0.180540598530455,"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."}}