{"id":"W6980022509","doi":"","title":"ARCHIVEIT-279-WEEKLY-CDOECO-20120911135527-00000-crawling201.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":"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":[0.001079754,0.002608317,0.001263444,0.007756873,0.002127274,0.005825817,0.002523099,0.00184705,0.7540224],"category_scores_gemma":[0.00926007,0.002195447,0.000941216,0.009484338,0.0006372981,0.004300139,0.004082172,0.001377847,0.8611802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00265346,"about_ca_system_score_gemma":0.002042097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05825073,"about_ca_topic_score_gemma":0.07533152,"domain_scores_codex":[0.9990678,0.00007855394,0.00006464815,0.0001913524,0.0004301727,0.0001674225],"domain_scores_gemma":[0.9936113,0.000788662,0.0002645125,0.002155647,0.002225903,0.0009540108],"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":[0.00002298537,0.00001046873,0.0001639528,0.00009014658,0.00000392249,0.000007968844,0.00003862434,0.00002981554,0.0001011189,0.00034088,0.9892758,0.009914168],"study_design_scores_gemma":[0.00003384681,0.000007621908,0.001533307,0.00006520455,0.000004982531,0.00003570499,0.00004501876,0.0001848399,0.0007901136,0.0002992689,0.9969769,0.00002323244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006704443,0.000241611,0.003067266,0.0004651394,0.0002124941,0.0001995603,0.6122701,0.1510019,0.2318715],"genre_scores_gemma":[0.003504077,0.000454119,0.004725694,0.0003597723,0.0001245525,0.0002655439,0.5667325,0.1067934,0.3170403],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2459776,"threshold_uncertainty_score":0.3508571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007672058100439443,"score_gpt":0.1974916713701965,"score_spread":0.1898196132697571,"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."}}