{"id":"W7035951804","doi":"","title":"ARCHIVEIT-1830-NONE-YZIPGI-20111121011238-00000-crawling206.us.archive.org-6681.warc.gz","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Process (computing)","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":[0.0008332625,0.003425869,0.001619251,0.007044934,0.001459031,0.004266798,0.002262323,0.001648705,0.6419819],"category_scores_gemma":[0.006015336,0.001885332,0.0009304278,0.007986918,0.0005393529,0.003347576,0.003501819,0.001312383,0.8150007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168324,"about_ca_system_score_gemma":0.001906482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03724797,"about_ca_topic_score_gemma":0.03499747,"domain_scores_codex":[0.9991981,0.00006124283,0.00005893239,0.0001881277,0.0003287555,0.0001648089],"domain_scores_gemma":[0.9961737,0.0005805427,0.0001540534,0.001182545,0.00148209,0.0004272157],"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":[0.00005233471,0.00001298086,0.0002183876,0.0001605159,0.000007119268,0.00001224221,0.00003925105,0.00004175596,0.0002285965,0.0003231807,0.9858102,0.01309349],"study_design_scores_gemma":[0.00006017179,0.0000107046,0.002049816,0.00008837901,0.000007738942,0.00004690874,0.00005203691,0.0002798044,0.001362798,0.0006071059,0.9954059,0.00002869892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005690772,0.0002199307,0.002781601,0.0002705824,0.0001413125,0.0001302012,0.7487,0.1705718,0.07661551],"genre_scores_gemma":[0.002334862,0.0003126367,0.004150345,0.0002111659,0.00006350267,0.0001681515,0.8445601,0.06959747,0.07860181],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3580181,"threshold_uncertainty_score":0.5106694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093898094729264,"score_gpt":0.1733724041934853,"score_spread":0.1624334232461927,"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."}}