{"id":"W2146256943","doi":"10.5539/enrr.v2n4p101","title":"Fatty Acid and Alcohol Distributions and Sources in Surface Sediments of Imo River, Southeast Niger Delta, Nigeria","year":2012,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrigenous sediment; Total organic carbon; Niger delta; Environmental chemistry; Environmental science; Dominance (genetics); Organic matter; Nutrient; River delta; Hydrology (agriculture); Geology; Sedimentary rock; Delta; Chemistry; Ecology; Geochemistry; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005576444,0.0001374506,0.0001987693,0.0001618193,0.0001453212,0.00003631563,0.00008983668,0.00009311655,0.00005029465],"category_scores_gemma":[0.00002975372,0.0001127593,0.00003128312,0.0001967681,0.0003626315,0.0001763341,0.0001614849,0.0003424928,0.000009164269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004239327,"about_ca_system_score_gemma":0.000002959107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006721271,"about_ca_topic_score_gemma":0.00002215439,"domain_scores_codex":[0.9986791,0.0001353924,0.0002039438,0.0001844308,0.0003991838,0.0003979717],"domain_scores_gemma":[0.9995404,0.00009471748,0.00002358027,0.0001385602,0.00001024806,0.0001925281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000813817,0.0001048382,0.9056494,0.0001056045,0.0001498026,0.000004502338,0.01066402,0.001599442,0.07764434,0.00003280905,0.0001270262,0.003836796],"study_design_scores_gemma":[0.001812697,0.0001089399,0.9050367,0.00008693436,0.00004420859,0.000007962146,0.007239228,0.03604281,0.03601661,0.0001332646,0.01290086,0.0005697248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840006,0.01549275,0.00006229674,0.0001116294,0.00002221266,0.0001458202,0.00002907978,0.00001557789,0.0001200125],"genre_scores_gemma":[0.9968433,0.002750079,0.00012964,0.000003814243,0.00003395204,0.000009009596,0.00002772861,0.00001345139,0.0001889793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04162773,"threshold_uncertainty_score":0.459819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201044687902248,"score_gpt":0.2659294324252764,"score_spread":0.2458249636350517,"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."}}