{"id":"W4391661221","doi":"10.1039/d3em00394a","title":"Experimental determination of the partitioning of representative organic pollutants to the air–water interface","year":2024,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Agence Nationale de la Recherche","keywords":"Pollutant; Environmental science; Environmental chemistry; Air pollutants; Interface (matter); Water pollutants; Air water; Environmental engineering; Air pollution; Chemistry; Adsorption; Organic chemistry; Physics","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":[0.00041833,0.0006661482,0.0002842541,0.0001853116,0.0008588904,0.0003232558,0.0006090628,0.000598991,0.002391193],"category_scores_gemma":[0.0006177115,0.0002412056,0.0002365189,0.0004291708,0.0004333418,0.0004541501,0.0003433556,0.0008396739,0.0004572765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005083394,"about_ca_system_score_gemma":0.0006011346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004757435,"about_ca_topic_score_gemma":0.005001618,"domain_scores_codex":[0.9995074,0.0000580265,0.00002774319,0.0001154679,0.0001640345,0.0001271916],"domain_scores_gemma":[0.9996434,0.0001461659,0.00004463877,0.00003753807,0.0001086325,0.00001950568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003228692,0.00002117822,0.0001028635,0.00002923065,0.000003052636,0.000008369517,0.0000165904,0.00005717449,0.99922,0.00003453205,0.00002710614,0.0004476217],"study_design_scores_gemma":[0.000003816428,0.00005724591,0.0004597977,0.000001296572,0.000003074279,0.000009378638,0.00001947711,0.0004205054,0.9987609,0.00002144635,0.0002404215,0.000002524515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780279,0.0004145567,0.01674378,0.0001085463,0.00003666457,0.0001634,0.001218257,0.0001196572,0.003167271],"genre_scores_gemma":[0.9817442,0.001014721,0.01394605,0.00008417218,0.00001284112,0.0003264634,0.0009193324,0.00004686943,0.001905199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004757435,"threshold_uncertainty_score":0.009459496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009132855913192343,"score_gpt":0.2739816017511966,"score_spread":0.2648487458380043,"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."}}