{"id":"W2304582507","doi":"10.15273/pnsis.v44i2.3695","title":"TURMERIC: NOT SO SPICY AFTER ALL","year":2008,"lang":"en","type":"article","venue":"","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Curcuma; Curcumin; Traditional medicine; Rhizome; Medicine; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003107303,0.00008740132,0.00006750259,0.00001635765,0.00003915566,0.000007164248,0.0001296938,0.00009582607,0.0003972726],"category_scores_gemma":[0.00001952998,0.00007302794,0.00005841184,0.00006509441,0.0001784914,0.000001101865,0.00008922362,0.00004589769,0.0002892051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005518084,"about_ca_system_score_gemma":0.00004184676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003146502,"about_ca_topic_score_gemma":0.00001545555,"domain_scores_codex":[0.9993681,0.000008444375,0.0001147142,0.0002407886,0.00009726408,0.00017067],"domain_scores_gemma":[0.9995322,0.000004414869,0.00002100603,0.0003058568,0.00003059845,0.0001059116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004157565,0.0001295597,0.002241798,0.000005809671,0.000036776,0.00001170109,0.00006139752,5.684775e-7,0.9474407,0.0002054967,0.04487373,0.004950841],"study_design_scores_gemma":[0.0001572155,0.00005073786,0.01272126,7.944082e-7,0.000005223513,0.0000349888,0.000005299256,0.000006807608,0.1645908,0.00002865478,0.8222891,0.0001091256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855791,0.0001933242,0.005619592,0.002434682,0.00005963875,0.0001356659,0.00001653629,0.00002839581,0.005933038],"genre_scores_gemma":[0.9845061,0.0001061062,0.002556199,0.005060332,0.0002532082,0.00007042129,0.00009213698,0.00001201337,0.007343504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.78285,"threshold_uncertainty_score":0.4349857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274139345335654,"score_gpt":0.2557532331545433,"score_spread":0.2430118397011868,"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."}}