{"id":"W1987844033","doi":"10.4236/pp.2014.512121","title":"Anti-Inflammatory and Analgesic Effects of Aqueous Extract of Stem Bark of &amp;lt;i&amp;gt;Ceiba pentandra&amp;lt;/i&amp;gt; Gaertn","year":2014,"lang":"en","type":"article","venue":"Pharmacology &amp Pharmacy","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Ceiba; Bark (sound); Analgesic; Traditional medicine; Carrageenan; Aqueous extract; Anti-inflammatory; Chemistry; Pharmacology; Medicine; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004466932,0.0003912242,0.0002378445,0.0003033781,0.000129037,0.0001199011,0.0001111877,0.0001775561,0.001452109],"category_scores_gemma":[0.00008494354,0.00009010571,0.0001576932,0.0001345266,0.0001733374,0.0001201887,0.0001044474,0.0003845655,0.0002343744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009277769,"about_ca_system_score_gemma":0.000179402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008991795,"about_ca_topic_score_gemma":0.001213572,"domain_scores_codex":[0.9999766,0.00000321258,0.000002057825,0.000003338434,0.000006480635,0.000008299599],"domain_scores_gemma":[0.9999605,0.000008000968,0.000008562584,0.000003343331,0.000005995169,0.00001356483],"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":[0.0004795316,0.0001348246,0.0001631139,0.00009139396,0.000007340816,0.00008998047,0.00001828233,0.00006908608,0.9934641,0.00004593167,0.00004139415,0.005395045],"study_design_scores_gemma":[0.000261638,0.006949864,0.01810074,0.00006166466,0.0001196759,0.0007979857,0.00007639373,0.0005604395,0.9689603,0.0001240051,0.003973822,0.00001347288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923391,0.003047968,0.0008466109,0.0001298662,0.00003107051,0.00004325094,0.0001894755,0.00004682527,0.003325765],"genre_scores_gemma":[0.993472,0.001896034,0.001315829,0.00008911616,0.00001880183,0.00002585884,0.0003184854,0.000007670072,0.002856237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001452109,"threshold_uncertainty_score":0.004857838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03344491972123044,"score_gpt":0.2964440516780497,"score_spread":0.2629991319568192,"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."}}