{"id":"W6989287040","doi":"","title":"ARCHIVEIT-279-WEEKLY-LQJZEA-20111025135630-00000-crawling113.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":"Process (computing); Work (physics); Identification (biology); Product (mathematics)","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":[0.001111736,0.002433378,0.001267209,0.007034454,0.002149947,0.006197861,0.002315391,0.001758237,0.8040251],"category_scores_gemma":[0.008472615,0.002078269,0.0009197706,0.008932879,0.0006510957,0.004217456,0.004127458,0.001462969,0.8939205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002842161,"about_ca_system_score_gemma":0.002047757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0583346,"about_ca_topic_score_gemma":0.07365771,"domain_scores_codex":[0.9991109,0.0000769649,0.00006086811,0.0001813952,0.0003976817,0.0001722056],"domain_scores_gemma":[0.9938892,0.0007001351,0.0002449089,0.002043296,0.002155724,0.0009667316],"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":[0.00002273507,0.00001107856,0.00015848,0.00008485285,0.000003728544,0.000007353995,0.00003874306,0.00003204447,0.0001083445,0.0003611768,0.9889332,0.01023821],"study_design_scores_gemma":[0.00002982235,0.000007274597,0.001442613,0.00005375051,0.000004441222,0.00002714568,0.00004259674,0.000156259,0.0006422354,0.0002632346,0.9973098,0.00002092499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000663124,0.0002299045,0.002704243,0.0005256429,0.0002487027,0.0002030269,0.5838643,0.1297665,0.2817945],"genre_scores_gemma":[0.003434487,0.0004420226,0.003728892,0.0003508615,0.0001205831,0.0002527118,0.5024861,0.0866721,0.4025123],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1959749,"threshold_uncertainty_score":0.2795344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009287727677611936,"score_gpt":0.1919107957255152,"score_spread":0.1826230680479032,"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."}}