{"id":"W7017391898","doi":"","title":"ARCHIVEIT-1830-WEEKLY-XSQRMV-20120508182825-00000-crawling203.us.archive.org-6682.warc.gz","year":2012,"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":[0.0009893436,0.002646969,0.001244098,0.007696171,0.001839513,0.005424846,0.002346271,0.001643621,0.6970624],"category_scores_gemma":[0.008354341,0.001910591,0.0009338169,0.009685852,0.0006008882,0.003571885,0.003578525,0.001316086,0.8356047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002387737,"about_ca_system_score_gemma":0.002301336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07926259,"about_ca_topic_score_gemma":0.0894904,"domain_scores_codex":[0.9991104,0.000065999,0.00005080052,0.0001833919,0.0004218612,0.0001675203],"domain_scores_gemma":[0.9945233,0.0006296009,0.0001921815,0.001596423,0.002287471,0.0007710623],"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":[0.00002449975,0.00001037799,0.0001578734,0.00009750165,0.000004507076,0.000007573154,0.00003884756,0.00003809465,0.0001151509,0.0003364905,0.9886309,0.0105382],"study_design_scores_gemma":[0.0000320324,0.000007730816,0.001441244,0.00006971403,0.000005155981,0.00003010661,0.00004226302,0.0001799111,0.0007186618,0.0003823963,0.997067,0.00002364419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006019812,0.0002602275,0.002626342,0.0003773175,0.000217133,0.0001633659,0.6458412,0.1529324,0.1969799],"genre_scores_gemma":[0.002754072,0.0004261627,0.004580217,0.0003158891,0.00009924151,0.0001937736,0.6434299,0.09871732,0.2494834],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3029376,"threshold_uncertainty_score":0.4321038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008309070750115083,"score_gpt":0.1984008543531622,"score_spread":0.1900917836030471,"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."}}