{"id":"W4411658281","doi":"10.51847/kg3yyh0","title":"10.51847/KG3YYH0","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Medicinal Plants and Neuroprotection","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anti-inflammatory; Traditional medicine; In vitro; Biology; Medicine; Pharmacology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002410434,0.0008013197,0.0004809267,0.001079276,0.0003190116,0.000493319,0.000477137,0.0008319645,0.3796315],"category_scores_gemma":[0.0001679362,0.0002467296,0.00043901,0.0003616164,0.0003021928,0.0005340243,0.0007827291,0.001233975,0.2502939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073915,"about_ca_system_score_gemma":0.0005057978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019246,"about_ca_topic_score_gemma":0.001073473,"domain_scores_codex":[0.999841,0.00001438647,0.000008825158,0.00003446702,0.00004599392,0.0000553641],"domain_scores_gemma":[0.9998304,0.00001557015,0.00001587944,0.00002327933,0.00003962799,0.00007535247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006103475,0.002621902,0.002274112,0.0005127585,0.00007759722,0.000759293,0.00009140153,0.0003097322,0.2990945,0.002455186,0.02224665,0.6634535],"study_design_scores_gemma":[0.00124627,0.00824137,0.03311782,0.0004704561,0.0001412139,0.004903247,0.0002065915,0.003296465,0.1639349,0.002091038,0.7822761,0.00007462721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3110097,0.01688503,0.03230075,0.004707968,0.003699078,0.001439398,0.01010366,0.01026312,0.6095912],"genre_scores_gemma":[0.08903622,0.002376141,0.0141744,0.0009193765,0.0002822492,0.0004131441,0.003421559,0.0004166577,0.8889603],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6203685,"threshold_uncertainty_score":0.8848804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009883577536788472,"score_gpt":0.2026333902165295,"score_spread":0.192749812679741,"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."}}