{"id":"W4292573051","doi":"10.3389/ftox.2022.911128","title":"Dynamic Mass Balance Modeling for Chemical Distribution Over Time in In Vitro Systems With Repeated Dosing","year":2022,"lang":"en","type":"article","venue":"Frontiers in Toxicology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASL Environmental Sciences (Canada); ARC Resources (Canada); The Scarborough Hospital; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; University of Toronto; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Research Coordinating Committee","keywords":"Dosing; Biological system; In vitro; Range (aeronautics); Chemistry; Pharmacology; Biology; Materials science; Biochemistry","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":[0.0007117426,0.001089596,0.0008919473,0.0006522245,0.0004386361,0.001101816,0.001448328,0.002002823,0.001939123],"category_scores_gemma":[0.001919399,0.0006393913,0.001479887,0.0004507629,0.0006568537,0.001207169,0.0008134483,0.001130226,0.0004637343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002524658,"about_ca_system_score_gemma":0.00111126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02211265,"about_ca_topic_score_gemma":0.00875529,"domain_scores_codex":[0.9996508,0.00007110461,0.000022382,0.0001095467,0.00009674487,0.00004929266],"domain_scores_gemma":[0.9993232,0.0003760936,0.0001263893,0.00003428353,0.0001165231,0.00002344475],"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":[0.00002744968,0.00002441637,0.0006344134,0.00004175385,0.00001607299,0.00005959129,0.00003186919,0.9863624,0.008519419,0.001946171,0.0001470239,0.00218934],"study_design_scores_gemma":[0.000008508589,0.00003028071,0.0002358979,0.000004014974,0.00001168267,0.00001784931,0.000007842038,0.9961216,0.002240001,0.0006663498,0.0006491434,0.000006788207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3214531,0.001694595,0.653814,0.000988522,0.0001507037,0.00047202,0.002123115,0.0007905106,0.01851349],"genre_scores_gemma":[0.94525,0.001273063,0.03525631,0.0003434526,0.00003494001,0.0008504645,0.0008695374,0.0001462563,0.01597601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02211265,"threshold_uncertainty_score":0.04396784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004140636872669078,"score_gpt":0.260971710247655,"score_spread":0.256831073374986,"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."}}