{"id":"W4361222980","doi":"10.1021/acs.estlett.2c00926","title":"Per- and Polyfluoroalkyl Substances in Canadian Fast Food Packaging","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"H2020 Energy; Natural Sciences and Engineering Research Council of Canada; East China Normal University; University of Toronto; Eidgenössische Materialprüfungs- und Forschungsanstalt; Environment and Climate Change Canada; Eidgenössische Technische Hochschule Zürich; University of Notre Dame","keywords":"Food packaging; Chemistry; Food products; Hydrolysis; Environmental chemistry; Food chain; Food science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006759891,0.0002379732,0.0001884925,0.001118831,0.0005575445,0.00007422357,0.0009189153,0.0001234477,0.000756311],"category_scores_gemma":[0.00002570689,0.0002360002,0.00003237867,0.002815617,0.004830392,0.0006290787,0.0005090863,0.0004020072,0.001117381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139068,"about_ca_system_score_gemma":0.00004317303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01514647,"about_ca_topic_score_gemma":0.1107167,"domain_scores_codex":[0.9965196,0.00003415058,0.0002275968,0.0008622468,0.000654718,0.001701711],"domain_scores_gemma":[0.9990782,0.00002842919,0.00004680831,0.0004159545,0.000001135044,0.0004295057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002566405,0.00001252182,0.6635619,0.000001329635,0.000002082666,0.00004894568,0.0004234811,0.00008256817,0.273931,0.00007139067,0.0002297301,0.06163251],"study_design_scores_gemma":[0.0003504343,0.00009520423,0.9494817,0.00001427783,0.000003356869,0.00004303212,0.00176452,0.0006849354,0.02099969,0.0003192834,0.02580508,0.0004385478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872949,0.001226266,0.000008276022,0.008894312,0.0001077413,0.0002536923,0.00002223966,0.000132032,0.002060594],"genre_scores_gemma":[0.9984699,0.0003476822,0.0002146698,0.0006966878,0.00001568258,0.00005225102,0.000005738346,0.00001905102,0.0001783438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2859198,"threshold_uncertainty_score":0.9996604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006502371655056107,"score_gpt":0.2202549447309216,"score_spread":0.2137525730758655,"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."}}