{"id":"W3216328613","doi":"10.3390/toxics9110315","title":"Update and Evaluation of a High-Throughput In Vitro Mass Balance Distribution Model: IV-MBM EQP v2.0","year":2021,"lang":"en","type":"article","venue":"Toxics","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"ARC Resources (Canada); The Scarborough Hospital; University of Toronto; ASL Environmental Sciences (Canada)","funders":"","keywords":"Solubility; Chemistry; Environmental chemistry; Lipophilicity; Thermodynamics; Analytical Chemistry (journal); Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002214604,0.001154662,0.001167621,0.000611086,0.0004076388,0.001226294,0.002153698,0.001413537,0.001559953],"category_scores_gemma":[0.004144452,0.000584566,0.001032335,0.000424343,0.0003497216,0.0008954519,0.0007679892,0.001232457,0.0005493318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204359,"about_ca_system_score_gemma":0.002244949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03119369,"about_ca_topic_score_gemma":0.01430367,"domain_scores_codex":[0.999513,0.0001136641,0.00003359671,0.0001011811,0.0001837158,0.00005480483],"domain_scores_gemma":[0.9976267,0.001421694,0.0001635888,0.0001591881,0.0005596199,0.00006908354],"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":[0.0001337222,0.00008131535,0.004202379,0.0001233713,0.00004577427,0.000101948,0.00003587122,0.9776165,0.007815861,0.0008005338,0.0008235673,0.008219149],"study_design_scores_gemma":[0.00001452091,0.0000514232,0.0004378039,0.000003232837,0.00001228141,0.00001538648,0.00000779143,0.9947879,0.003923732,0.0001543181,0.0005829229,0.000008591154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6653867,0.0006500829,0.3116806,0.0006337533,0.0001729602,0.0004262685,0.005846655,0.007102975,0.008099889],"genre_scores_gemma":[0.9224626,0.0003249075,0.06942732,0.0002063328,0.00002409689,0.0005379288,0.00358464,0.0003516864,0.003080327],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03119369,"threshold_uncertainty_score":0.06202424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340257345993906,"score_gpt":0.3271604492499777,"score_spread":0.3137578757900387,"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."}}