{"id":"W7036156921","doi":"","title":"ARCHIVEIT-2402-MONTHLY-WMQZPA-20120114165913-00000-crawling206.us.archive.org-6683.warc.gz","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Field (mathematics); Natural (archaeology); Work (physics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008716987,0.001887671,0.001167029,0.00751997,0.001521975,0.004765137,0.001871217,0.001190169,0.855522],"category_scores_gemma":[0.006414658,0.001329604,0.0008119537,0.01258577,0.0004619912,0.002671161,0.002823557,0.001240482,0.9117128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938476,"about_ca_system_score_gemma":0.001708977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05270994,"about_ca_topic_score_gemma":0.05396817,"domain_scores_codex":[0.9993723,0.00004963555,0.00004525121,0.0001045303,0.0003142249,0.0001140458],"domain_scores_gemma":[0.996042,0.000557679,0.0001697123,0.0008314915,0.001855164,0.0005440385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001883664,0.0000107207,0.0001385005,0.00009005643,0.000002838167,0.000006037832,0.0000261915,0.00002371476,0.00005651244,0.0002595423,0.9856238,0.0137432],"study_design_scores_gemma":[0.00002231011,0.000004303519,0.001338798,0.00006888139,0.000003052595,0.00001385148,0.00003455007,0.00007104936,0.0003096468,0.0003296704,0.9977916,0.00001227414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004002101,0.0001550189,0.001091479,0.0002843592,0.0001447619,0.00009863928,0.7566717,0.03112657,0.2100273],"genre_scores_gemma":[0.002139193,0.0004197689,0.002684636,0.0002378678,0.00009774548,0.0002270145,0.600321,0.02873219,0.3651405],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.144478,"threshold_uncertainty_score":0.2060804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050910981261133,"score_gpt":0.1869006490689875,"score_spread":0.1763915392563762,"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."}}