{"id":"W2051049443","doi":"10.2134/jeq2003.1701","title":"Kerogen in Aquifer Material and Its Strong Sorption for Nonionic Organic Pollutants","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins University; Washington State University","keywords":"Kerogen; Sorption; Pollutant; Aquifer; Environmental chemistry; Environmental science; Persistent organic pollutant; Organic chemicals; Geology; Chemistry; Groundwater; Geotechnical engineering; Organic chemistry; Adsorption; Source rock; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00008113907,0.0002373966,0.0001382326,0.000274092,0.0001942365,0.0002364469,0.0001060053,0.00009896598,0.0004966971],"category_scores_gemma":[0.0001333118,0.0001163481,0.0001012311,0.0002236455,0.0002769642,0.0001372168,0.0002252625,0.0001257462,0.00008482714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003323615,"about_ca_system_score_gemma":0.0003766463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009889572,"about_ca_topic_score_gemma":0.01766327,"domain_scores_codex":[0.9999039,0.000007195366,0.00000409649,0.00002286308,0.00003294309,0.00002906436],"domain_scores_gemma":[0.9999455,0.000007371907,0.00001492907,0.000002915072,0.00001790421,0.00001139047],"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":[0.00004557012,0.000009267247,0.005135317,0.0000352059,0.000004532837,0.0001331695,0.00003094765,0.00008036385,0.9928232,0.00003349131,0.000008524647,0.001660403],"study_design_scores_gemma":[0.000009138258,0.000186831,0.1841015,0.000008528873,0.00001556347,0.0006848575,0.0003458611,0.0008224931,0.812169,0.00009531124,0.001549828,0.00001108998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988589,0.0001717457,0.0004220662,0.00001087778,0.000001223406,0.000005985607,0.00004988807,0.000005717239,0.0004735258],"genre_scores_gemma":[0.9987968,0.0001437229,0.0003808336,0.000008793899,0.000001381786,0.000004294462,0.00009636382,0.000002758245,0.0005649426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009889572,"threshold_uncertainty_score":0.01966399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850362074300894,"score_gpt":0.2497855098671507,"score_spread":0.2312818891241418,"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."}}