{"id":"W2371491571","doi":"","title":"Seed and Production of Chinese Medicinal Materials","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Antioxidants, Aging, Portulaca oleracea","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Traditional medicine; Horticulture; Biology; Medicine; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002252851,0.0004601203,0.0002896258,0.0009343001,0.0003655911,0.0004401678,0.0002790773,0.0003286814,0.001398424],"category_scores_gemma":[0.000203839,0.0001441224,0.0004093588,0.0006657918,0.0002616025,0.0005196151,0.0003780568,0.0004527707,0.0002535322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306378,"about_ca_system_score_gemma":0.0003688037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008931383,"about_ca_topic_score_gemma":0.001655646,"domain_scores_codex":[0.9999528,0.000008011595,0.000004578088,0.00001156831,0.00001413307,0.000008850775],"domain_scores_gemma":[0.9998808,0.0000223115,0.00002933994,0.00002321937,0.00001917352,0.00002518022],"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":[0.0003226151,0.0001026191,0.0007972374,0.0003019281,0.00002502283,0.0004177233,0.00006279926,0.0001188876,0.9828665,0.0009033298,0.0001043637,0.01397705],"study_design_scores_gemma":[0.00005330851,0.0006983259,0.01496391,0.00006601168,0.0002413198,0.0007575551,0.00007895878,0.0005171775,0.9669197,0.001100588,0.01458275,0.00002034345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521897,0.02473029,0.009374818,0.000669501,0.000125106,0.0001167666,0.0006003337,0.0001646041,0.01202883],"genre_scores_gemma":[0.9842644,0.006354027,0.005001368,0.00009737626,0.00003442915,0.00002959612,0.000384862,0.00002843627,0.003805574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001398424,"threshold_uncertainty_score":0.00467819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320687785285333,"score_gpt":0.2577451345465994,"score_spread":0.234538256693746,"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."}}