{"id":"W2068697320","doi":"10.1021/es020925+","title":"Sediment−Water Distribution of Organic Contaminants in Aquatic Ecosystems:  The Role of Organic Carbon Mineralization","year":2003,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Total organic carbon; Sediment; Environmental chemistry; Plankton; Environmental science; Partition coefficient; Mineralization (soil science); Water column; Aquatic ecosystem; Soil science; Chemistry; Geology; Oceanography; Soil water","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000137194,0.000261029,0.0001071968,0.0005712302,0.000235645,0.000528251,0.00023866,0.0003078525,0.0003140323],"category_scores_gemma":[0.0003379071,0.0001480831,0.0001727332,0.0003638038,0.0004127859,0.000434755,0.000347085,0.0001011245,0.00007386047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070405,"about_ca_system_score_gemma":0.0004262887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02111319,"about_ca_topic_score_gemma":0.01723684,"domain_scores_codex":[0.9999537,0.00001025773,0.000002762106,0.00001493539,0.000009876842,0.000008451487],"domain_scores_gemma":[0.999879,0.00004014841,0.00004525637,0.000007079827,0.0000161408,0.00001238917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001724125,0.00007355508,0.5091773,0.0001962487,0.0001485545,0.0004126052,0.0004396732,0.3035313,0.1576984,0.004198719,0.0002291705,0.02372205],"study_design_scores_gemma":[0.00002044211,0.0001571991,0.4955475,0.00001467106,0.0000724733,0.0001836985,0.0003119597,0.4801797,0.01850323,0.003766567,0.001202481,0.00004009263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995743,0.000172321,0.003553027,0.00003867711,8.256092e-7,0.000004594171,0.00007219031,0.00002377897,0.0003914656],"genre_scores_gemma":[0.9991848,0.00009816703,0.0004637379,0.000004148387,8.637718e-7,0.000002824571,0.0000402455,0.000003153543,0.0002021859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02111319,"threshold_uncertainty_score":0.04198056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002639031766472834,"score_gpt":0.1558106813976978,"score_spread":0.153171649631225,"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."}}