{"id":"W6998684860","doi":"","title":"ARCHIVEIT-1830-WEEKLY-WHIZKW-20121218183055-00000-crawling113.us.archive.org-6683.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":[0.000993849,0.002433907,0.001238942,0.008026222,0.001963861,0.005690621,0.002210397,0.001557703,0.7138656],"category_scores_gemma":[0.008053241,0.001806058,0.0009047911,0.01002585,0.0005789997,0.003485762,0.003607125,0.001300918,0.8469757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00241852,"about_ca_system_score_gemma":0.002425716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07178671,"about_ca_topic_score_gemma":0.09359249,"domain_scores_codex":[0.9990917,0.00006319769,0.00005354136,0.0001788162,0.0004389922,0.0001737063],"domain_scores_gemma":[0.9944383,0.0005686722,0.0002059178,0.001643447,0.002278454,0.0008651841],"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":[0.00002511172,0.00001149423,0.0001581827,0.00008830948,0.000004389201,0.000007486117,0.00003507319,0.0000341504,0.000119937,0.0003440312,0.987247,0.01192482],"study_design_scores_gemma":[0.00002599109,0.000007313115,0.001370015,0.00006076147,0.000004837017,0.00002682724,0.00004049262,0.0001586026,0.0006742473,0.0003536223,0.997256,0.00002127681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007074501,0.0002881131,0.002883823,0.0004450054,0.0002486309,0.0001995363,0.5890686,0.1423033,0.2638555],"genre_scores_gemma":[0.002879006,0.0004444294,0.004467051,0.0003165697,0.0001002753,0.0002104634,0.5451242,0.08712253,0.3593355],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2861344,"threshold_uncertainty_score":0.408136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008024212175677357,"score_gpt":0.197032215101724,"score_spread":0.1890080029260466,"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."}}