{"id":"W6981688389","doi":"","title":"Examining microbial carbon source cycling in arsenic contaminated Bangladesh aquifers through lipid and isotopic analyses","year":2017,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Aquifer; Organic matter; Arsenic; Groundwater; Sedimentary organic matter; Microbial population biology; Total organic carbon; Carbon cycle","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":[0.0001269579,0.0002391119,0.0001292629,0.0006220085,0.0003543625,0.0003795075,0.0001222418,0.0002284191,0.0009274592],"category_scores_gemma":[0.000166991,0.0001306665,0.00009339818,0.000693898,0.0001767994,0.0002688407,0.0003102586,0.0001684972,0.0002306243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002904675,"about_ca_system_score_gemma":0.0002498616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008694893,"about_ca_topic_score_gemma":0.0172886,"domain_scores_codex":[0.9999143,0.00001110245,0.000008192225,0.00002523082,0.00002368799,0.00001745672],"domain_scores_gemma":[0.99993,0.000009133889,0.00001819306,0.000003105025,0.00003017711,0.000009285588],"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":[0.0001391332,0.00002336612,0.08588126,0.00008741184,0.0000136682,0.0001548233,0.0007969253,0.0001865295,0.9045174,0.0001419227,0.00004660276,0.008010996],"study_design_scores_gemma":[0.0000157109,0.0006321244,0.718297,0.00006508981,0.00007247167,0.0006407601,0.008888111,0.001852775,0.2623547,0.0005183658,0.006602634,0.00006019209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981675,0.0001173308,0.0003569979,0.00002060956,0.000001307256,0.000008341085,0.0004900959,0.000004606904,0.000833213],"genre_scores_gemma":[0.995913,0.0005297631,0.001380001,0.00002971578,0.00000195267,0.00002181363,0.0005343408,0.000003957553,0.001585436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008694893,"threshold_uncertainty_score":0.01728857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03011668036468608,"score_gpt":0.2664778997506347,"score_spread":0.2363612193859486,"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."}}