{"id":"W6968639615","doi":"10.5281/zenodo.4368163","title":"Boehmeria cylindrica Sw.","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medicinal plant effects and applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Typification; Taxonomy (biology); Nomenclature; Subspecies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001173204,0.001140468,0.0004850783,0.002569,0.001459109,0.0004038487,0.000725752,0.0005202772,0.01826459],"category_scores_gemma":[0.0002836082,0.0002885258,0.0002337397,0.001287807,0.0002672017,0.0008875279,0.0006348789,0.000588401,0.0142327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421142,"about_ca_system_score_gemma":0.0003052686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04123394,"about_ca_topic_score_gemma":0.1043238,"domain_scores_codex":[0.9997758,0.00002009714,0.0000113325,0.00008914749,0.00006978813,0.00003379461],"domain_scores_gemma":[0.999895,0.00001329167,0.0000246102,0.00001174186,0.00003673671,0.0000186688],"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":[0.000541613,0.0001729703,0.008578021,0.001143792,0.00007479089,0.001423619,0.001062802,0.0006638728,0.2329487,0.005531611,0.1022762,0.6455821],"study_design_scores_gemma":[0.00005024449,0.0001142718,0.1495724,0.0001555327,0.00006960207,0.002036581,0.0004530807,0.0003476664,0.01042496,0.0007641264,0.8359742,0.00003734594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1132101,0.05839004,0.008909018,0.002411531,0.001349003,0.0009365446,0.02339793,0.003518108,0.7878777],"genre_scores_gemma":[0.6880443,0.01359878,0.01020283,0.002461145,0.0003269245,0.0003595113,0.01754858,0.0003814145,0.2670765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04123394,"threshold_uncertainty_score":0.08198786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03371893144180839,"score_gpt":0.28565726122306,"score_spread":0.2519383297812516,"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."}}