{"id":"W4210601657","doi":"10.1016/j.envint.2022.107101","title":"A regional numerical environmental multimedia modeling approach to assess spatial Eco-Environmental exposure risk of perfluorooctane sulfonate (PFOS) in the Pearl river basin","year":2022,"lang":"en","type":"article","venue":"Environment International","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Sediment; Hydrology (agriculture); Environmental monitoring; Structural basin; Drainage basin; Hazard quotient; Percentile; Risk assessment; Environmental engineering; Geology; Geography; Geomorphology; Cartography; Geotechnical engineering; Computer science","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":[0.0003701969,0.0006106476,0.0003408548,0.0006955658,0.0003182094,0.0006727817,0.0008013872,0.0005561911,0.001242328],"category_scores_gemma":[0.0008862908,0.0002514322,0.0006265076,0.0004540672,0.0002380314,0.0007201336,0.0008435317,0.0002658435,0.0001020812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008147156,"about_ca_system_score_gemma":0.000891494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0184086,"about_ca_topic_score_gemma":0.01111655,"domain_scores_codex":[0.9998224,0.00005617445,0.00001292084,0.00004917786,0.00004126167,0.00001811279],"domain_scores_gemma":[0.9998436,0.00005240851,0.00002741108,0.00001285246,0.0000508765,0.00001282074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001429478,0.00001608723,0.003502941,0.00001714717,0.0000247938,0.00005044716,0.00002695847,0.9831928,0.001425016,0.001712634,0.0001264056,0.009890529],"study_design_scores_gemma":[0.000002463783,0.000008027217,0.0003618458,0.000001704201,0.00000731701,0.000007388688,0.00001342772,0.9986992,0.0002750662,0.0003865818,0.0002335243,0.000003402291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3741977,0.0004189599,0.6120329,0.0004299354,0.00004631715,0.0001494909,0.0008859388,0.0008488956,0.01098987],"genre_scores_gemma":[0.9349771,0.0002489285,0.06231989,0.00004202191,0.00001323833,0.0001359046,0.0003467792,0.00004355483,0.001872499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0184086,"threshold_uncertainty_score":0.03660291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739268478751905,"score_gpt":0.2428782412310659,"score_spread":0.2154855564435469,"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."}}