{"id":"W2972773739","doi":"10.32622/ijrat.742019202","title":"Phytochemical Screening of Murraya koenigii (L.) Spreng","year":2019,"lang":"en","type":"article","venue":"International Journal of Research in Advent Technology","topic":"Morinda citrifolia extract uses","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Murraya; Phytochemical; Traditional medicine; Chemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001017746,0.0003794307,0.0004530344,0.0009601932,0.0004524036,0.000261082,0.0001976918,0.0003111828,0.001146229],"category_scores_gemma":[0.0001241479,0.0001333391,0.0003510234,0.0005794825,0.0001610022,0.0002318384,0.0002126011,0.0003813812,0.0002824705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009419061,"about_ca_system_score_gemma":0.0001740469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008253858,"about_ca_topic_score_gemma":0.00301848,"domain_scores_codex":[0.9999459,0.00000737786,0.000005161788,0.0000137035,0.00002038667,0.000007498234],"domain_scores_gemma":[0.999943,0.0000151529,0.00001012515,0.000003709824,0.00001788555,0.00001011633],"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":[0.000260333,0.0004639311,0.00174735,0.0009564414,0.00004114814,0.000483672,0.0002068217,0.0001679024,0.9801876,0.000166927,0.0003692432,0.01494871],"study_design_scores_gemma":[0.000211588,0.008116218,0.2473042,0.0004045257,0.0009412796,0.003813552,0.001051747,0.001351386,0.6688265,0.0008841821,0.06696486,0.0001299981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682045,0.0173319,0.002118261,0.0004716696,0.0000706366,0.0002907832,0.002309093,0.0001052174,0.00909795],"genre_scores_gemma":[0.978241,0.005438734,0.005366427,0.0006473418,0.0000525232,0.0001510679,0.002155451,0.00002281102,0.007924726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001146229,"threshold_uncertainty_score":0.003834486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05623743556544201,"score_gpt":0.4473415567138688,"score_spread":0.3911041211484268,"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."}}