{"id":"W4411554404","doi":"10.1007/s10653-025-02598-3","title":"Screening analysis and fine-scale spatial health risks assessment of phenols and PAHs in soils surrounding the coking industry","year":2025,"lang":"en","type":"article","venue":"Environmental Geochemistry and Health","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China","keywords":"Soil water; Environmental science; Scale (ratio); Environmental chemistry; Environmental health; Environmental engineering; Chemistry; Soil science; Geography; Cartography; Medicine","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":[0.001211035,0.0001770601,0.0003632885,0.00005098145,0.0002949999,0.00003077752,0.0001129006,0.0001183502,0.0003187262],"category_scores_gemma":[0.00001371313,0.0001535762,0.00003213613,0.0002623487,0.0003610415,0.00009501454,0.0003099306,0.0004479303,3.730489e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003305258,"about_ca_system_score_gemma":0.00005005391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003767655,"about_ca_topic_score_gemma":0.00126778,"domain_scores_codex":[0.998466,0.0001236234,0.0004040817,0.0003946333,0.0002287338,0.0003829895],"domain_scores_gemma":[0.9992629,0.00009723286,0.000230026,0.0002278803,2.469366e-7,0.0001817638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009028096,0.000055235,0.8960714,0.00003530759,0.00004139436,0.000001199711,0.0004159254,0.00007538913,0.005207174,0.000002242064,0.00002023145,0.0980655],"study_design_scores_gemma":[0.0004618074,0.00005268313,0.9931198,0.0000660238,0.000035126,0.000007424582,0.001069121,0.002580517,0.002377206,0.00005300971,0.00006400075,0.0001133004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958099,0.000671648,0.0009213734,0.00172091,0.00001897579,0.0002089959,0.0001199321,0.000008512081,0.0005197764],"genre_scores_gemma":[0.9983369,0.0004551146,0.0006516007,0.0004169771,0.0000165624,0.00000475863,0.000009689642,0.000007351573,0.0001010509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0979522,"threshold_uncertainty_score":0.6262658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278021644130676,"score_gpt":0.3258981241158125,"score_spread":0.3031179076745057,"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."}}