{"id":"W7007994136","doi":"","title":"ARCHIVEIT-1830-NONE-XQIAVS-20111129183458-00030-crawling212.us.archive.org-6683.warc.gz","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","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":[0.00104045,0.002904434,0.001455306,0.007843916,0.002224439,0.005869385,0.002634699,0.001924749,0.7138115],"category_scores_gemma":[0.008585558,0.002187796,0.001013296,0.009878679,0.0006922056,0.003765811,0.004017402,0.001380638,0.8596787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002842103,"about_ca_system_score_gemma":0.00271074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09028607,"about_ca_topic_score_gemma":0.1070678,"domain_scores_codex":[0.9989657,0.0000779595,0.00006081134,0.0002026973,0.0004987631,0.0001940712],"domain_scores_gemma":[0.9938693,0.0007823673,0.0002071049,0.001898716,0.002471451,0.0007710139],"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":[0.00002714182,0.000009891079,0.0001540389,0.0001100407,0.000004975269,0.000008458344,0.0000421853,0.00003625879,0.0001295143,0.0003334442,0.9893568,0.00978726],"study_design_scores_gemma":[0.00003117686,0.000007358141,0.001179653,0.00006619561,0.000005142604,0.00003268001,0.00004912977,0.0001582198,0.0007673624,0.0003600296,0.9973189,0.00002416211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005872707,0.0002737538,0.002819798,0.0004255369,0.0002348397,0.0001763112,0.6410312,0.1628679,0.1915834],"genre_scores_gemma":[0.002558187,0.0004057926,0.00457281,0.0003566081,0.00008973205,0.0002097941,0.6641476,0.09674928,0.2309101],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2861885,"threshold_uncertainty_score":0.4082132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009609483733693514,"score_gpt":0.1939401756757997,"score_spread":0.1843306919421062,"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."}}