{"id":"W2774398012","doi":"10.14206/canad.j.clin.nutr.2018.01.05","title":"Flow Cytometric, Histological and Ultrastructural Evaluation of the Anti-toxic Effect of Ethanolic Extract of Ficus carica Leaves against CCl4-induced Hepatotoxicity: An In Vivo Study","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Clinical Nutrition","topic":"Phytochemistry and biological activities of Ficus species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carica; Ficus; Traditional medicine; Ultrastructure; Biology; CCL4; In vivo; Moraceae; Botany; Chemistry; Medicine; Biotechnology; Carbon tetrachloride","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002262856,0.0001440012,0.0007229606,0.00005691651,0.0001788246,0.00003354999,0.000518605,0.0002465449,0.00005862753],"category_scores_gemma":[0.003879802,0.0000541729,0.0002497985,0.0002168044,0.0004946417,0.0002138993,0.00003250181,0.0003793767,8.678065e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000557911,"about_ca_system_score_gemma":0.00009433824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008189001,"about_ca_topic_score_gemma":0.006050675,"domain_scores_codex":[0.9975055,0.0007916469,0.0009221078,0.0002013296,0.0003810038,0.0001984078],"domain_scores_gemma":[0.9972337,0.0009208972,0.001188901,0.0001328311,0.0003021802,0.0002214387],"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":[0.0001959328,0.0004062425,0.4302615,0.00002824736,0.00002778303,0.000009506033,0.00004845604,0.000006848126,0.5166602,0.000001974532,0.00001394905,0.05233944],"study_design_scores_gemma":[0.00109977,0.002803795,0.8512005,0.0001217965,0.00005406928,0.00001473473,0.0002440659,0.00009527307,0.1440688,0.0001887805,0.00002078005,0.00008755651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987349,0.0002057166,1.480671e-7,0.0002817434,0.0001839037,0.0003964322,0.00009094748,0.000001957874,0.00010428],"genre_scores_gemma":[0.9996858,0.00007537681,0.00001981081,0.000015332,0.0001930764,0.000004449897,0.000003660944,9.067231e-7,0.000001592711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4209391,"threshold_uncertainty_score":0.4644766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0934682763273822,"score_gpt":0.347027873066513,"score_spread":0.2535595967391308,"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."}}