{"id":"W4409385616","doi":"10.1016/j.envpol.2025.126239","title":"Characterization of POP mixture redistribution and identification of their molecular signature in xenografted fat mice","year":2025,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Conseil Régional des Pays de la Loire; Agence Nationale de la Recherche","keywords":"Redistribution (election); Identification (biology); Characterization (materials science); Signature (topology); Chemistry; Biology; Materials science; Botany; Nanotechnology; Political science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002203469,0.0005108694,0.0003686135,0.0009782475,0.0001805907,0.0004430592,0.0002045149,0.0004382644,0.001380556],"category_scores_gemma":[0.0001469435,0.0002208056,0.0004777782,0.0004466065,0.0003020701,0.0004082429,0.0002750068,0.001278441,0.0005655017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596826,"about_ca_system_score_gemma":0.0002285134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005603192,"about_ca_topic_score_gemma":0.000816482,"domain_scores_codex":[0.9997954,0.00001400216,0.00001119108,0.0000657941,0.00007214136,0.00004157223],"domain_scores_gemma":[0.9997819,0.00002295063,0.00006653208,0.00002100412,0.00003970176,0.00006796385],"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":[0.0001999698,0.00003249797,0.0005044274,0.00002993999,0.00001090824,0.00008716421,0.00001846712,0.00007364644,0.9979333,0.00004802517,0.00003313432,0.00102852],"study_design_scores_gemma":[0.00002112843,0.0006128321,0.01069717,0.00001179126,0.00006132716,0.0004228158,0.0001137216,0.001033361,0.9841246,0.0001135608,0.002773408,0.00001428786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972252,0.002614063,0.01809987,0.00019624,0.0001041917,0.0001166872,0.00422155,0.0003776798,0.002017557],"genre_scores_gemma":[0.9649128,0.004294965,0.01386822,0.0003177882,0.00003791177,0.0004142147,0.005524048,0.0002711411,0.010359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001380556,"threshold_uncertainty_score":0.004618466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003358687237683407,"score_gpt":0.2124631182375823,"score_spread":0.2091044309998989,"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."}}