{"id":"W6989399210","doi":"","title":"ARCHIVEIT-1830-NONE-ZMJJCA-20110715162711-00000-crawling206.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":[0.001022938,0.002683514,0.00139792,0.007592334,0.002312337,0.006133009,0.002678057,0.00185329,0.7450497],"category_scores_gemma":[0.008407458,0.002005044,0.0009293903,0.009884903,0.0006905628,0.003646406,0.004015143,0.001385386,0.8801486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002889864,"about_ca_system_score_gemma":0.002878277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09118515,"about_ca_topic_score_gemma":0.1066796,"domain_scores_codex":[0.9989883,0.00007380408,0.00005660169,0.0001950609,0.0004863932,0.0001998557],"domain_scores_gemma":[0.9935912,0.0007147755,0.0002140231,0.001905914,0.002656824,0.000917275],"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":[0.00002489735,0.00001083924,0.0001407015,0.00009084953,0.000003910456,0.000007584651,0.0000368837,0.00003194104,0.0001208915,0.0003797333,0.9884883,0.01066358],"study_design_scores_gemma":[0.00002508607,0.000006644593,0.001107716,0.00006019811,0.000004096599,0.00002843603,0.00004264327,0.0001377595,0.000630151,0.0003357225,0.9975998,0.00002169189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005792283,0.0002587796,0.002725807,0.0004462501,0.0002596045,0.0001886263,0.590012,0.142493,0.2630367],"genre_scores_gemma":[0.002499436,0.0003993922,0.0043411,0.0003538397,0.00009360648,0.0002043012,0.5882466,0.08612575,0.3177359],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2549503,"threshold_uncertainty_score":0.3636556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009571882400282587,"score_gpt":0.1930870188583787,"score_spread":0.1835151364580961,"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."}}