{"id":"W7026663969","doi":"","title":"ARCHIVEIT-1830-NONE-YIOSPE-20111130225840-00000-crawling208.us.archive.org-6682.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":[0.001070521,0.002648799,0.001338,0.007196383,0.001967221,0.005580086,0.002606064,0.001723644,0.7327175],"category_scores_gemma":[0.00821409,0.001947576,0.0008923988,0.009094305,0.0006240053,0.003567375,0.003851172,0.001382751,0.8639121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002560998,"about_ca_system_score_gemma":0.002596412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07080638,"about_ca_topic_score_gemma":0.08280727,"domain_scores_codex":[0.9990804,0.00006888097,0.00005571585,0.0001855212,0.0004317375,0.0001777003],"domain_scores_gemma":[0.9940856,0.0006890279,0.0002025375,0.001839207,0.002336024,0.0008476177],"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":[0.00002879739,0.00001256152,0.0001747555,0.00009718144,0.000004436607,0.000008662762,0.00003557407,0.00004133711,0.0001386981,0.0003994531,0.9872108,0.01184779],"study_design_scores_gemma":[0.0000333834,0.000008482833,0.001338283,0.00006104088,0.000004738043,0.00003412439,0.00004184207,0.0001854316,0.0007992167,0.0003914286,0.9970779,0.00002410504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006751028,0.0002470713,0.003494459,0.0004332646,0.0002420871,0.0002015458,0.6011589,0.1532182,0.2403294],"genre_scores_gemma":[0.002550224,0.0003630596,0.004820399,0.000314381,0.00008841325,0.0002172585,0.6106514,0.08783855,0.2931562],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2672825,"threshold_uncertainty_score":0.3812461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00906991682673656,"score_gpt":0.1918214710928698,"score_spread":0.1827515542661332,"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."}}