{"id":"W2035611035","doi":"10.1007/s10661-009-0752-9","title":"Spatial and temporal distribution of polycyclic aromatic hydrocarbons (PAHs) in sediments of the Nansi Lake, China","year":2009,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sediment; Environmental chemistry; Environmental science; Coal combustion products; Estuary; Deposition (geology); Sediment core; Contamination; Ecotoxicology; Sedimentation; Persistent organic pollutant; Spatial distribution; Coal; Hydrology (agriculture); Chemistry; Geology; Oceanography; Geomorphology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001781727,0.0001373196,0.0001682895,0.00001783027,0.00006589926,0.000008762519,0.0001095219,0.00004704559,0.00001675342],"category_scores_gemma":[0.000008238449,0.0001067544,0.0000293072,0.00008257874,0.0001824937,0.0001132718,0.0001138524,0.0001326923,0.000001209265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685439,"about_ca_system_score_gemma":0.000006902229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000213919,"about_ca_topic_score_gemma":0.00001821582,"domain_scores_codex":[0.9989561,0.0000687282,0.0002642593,0.0001948898,0.0003252523,0.0001907788],"domain_scores_gemma":[0.9995852,0.00001987306,0.000141572,0.0001819737,3.31484e-8,0.00007131696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006657061,0.0001695518,0.8802681,0.000001606741,0.000006488229,0.000001414522,0.0001910458,0.000004867228,0.0806722,7.982577e-7,0.000002386715,0.03867486],"study_design_scores_gemma":[0.0004456464,0.0001409749,0.9721952,0.0000497095,0.00001477348,0.000006058196,0.0001052022,0.0002237385,0.02649872,0.0001904267,0.00003431248,0.00009520156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999188,0.0000640724,0.00004163758,0.000146427,0.0001115703,0.0001680855,0.00003996905,0.000006375372,0.0002338819],"genre_scores_gemma":[0.9996756,0.00005442751,0.0001969065,0.000006642877,0.00002203608,0.000002289835,0.000003076116,0.000006863911,0.00003218333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09192711,"threshold_uncertainty_score":0.4353318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005705133136626019,"score_gpt":0.2324417688776695,"score_spread":0.2267366357410435,"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."}}