{"id":"W2094801822","doi":"10.1016/j.chemosphere.2013.02.067","title":"In situ air–water and particle–water partitioning of perfluorocarboxylic acids, perfluorosulfonic acids and perfluorooctyl sulfonamide at a wastewater treatment plant","year":2013,"lang":"en","type":"article","venue":"Chemosphere","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Curtin University of Technology","keywords":"Partition coefficient; Aqueous solution; Wastewater; Chemistry; Aqueous two-phase system; Environmental chemistry; Particle (ecology); Water treatment; Sewage treatment; Chromatography; Environmental engineering; Organic chemistry; Environmental science; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002034936,0.0003432871,0.000398122,0.00002000798,0.0001925441,0.00006911881,0.0001826094,0.000148997,0.009742609],"category_scores_gemma":[0.00001039589,0.0002160421,0.00007057248,0.0001034364,0.0004232686,0.0005867868,0.0003998455,0.0001623441,0.0006977241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988072,"about_ca_system_score_gemma":0.00001368815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260007,"about_ca_topic_score_gemma":0.001251169,"domain_scores_codex":[0.9976287,0.00008630832,0.0004141993,0.000618732,0.0003482813,0.0009038015],"domain_scores_gemma":[0.999185,0.00004417769,0.00004205344,0.0003843653,0.00001355515,0.0003308734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008821926,0.0001149684,0.2786868,0.00003859578,0.00002109849,0.00002021198,0.003925141,0.00006331207,0.7114314,0.00000699474,0.0003371766,0.005266133],"study_design_scores_gemma":[0.00137467,0.000286796,0.05850426,0.00003677654,0.00002062641,0.00004556536,0.0005176744,0.0008910482,0.9294911,0.0002360358,0.008255539,0.0003399264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940153,0.003243507,0.000001892318,0.0007636673,0.00004742661,0.0004642899,0.00001246332,0.00002917314,0.00142224],"genre_scores_gemma":[0.9940807,0.0006530741,0.00029785,0.0001350489,0.00003907659,0.0001935001,0.00004106877,0.00003296815,0.004526756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2201825,"threshold_uncertainty_score":0.9911626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063366791645923,"score_gpt":0.2176118389994546,"score_spread":0.2069781710829954,"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."}}