{"id":"W7045594022","doi":"","title":"ARCHIVEIT-279-WEEKLY-THLENM-20110621135435-00000-crawling208.us.archive.org-6681.warc.gz","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","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":[0.001254471,0.002158582,0.001212212,0.008373027,0.001792543,0.00602972,0.002111148,0.001531807,0.8328116],"category_scores_gemma":[0.00839077,0.001642799,0.0009052257,0.0116972,0.0006283859,0.003935929,0.003894865,0.001404995,0.915243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002605204,"about_ca_system_score_gemma":0.002151287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04561814,"about_ca_topic_score_gemma":0.04894548,"domain_scores_codex":[0.9990343,0.00009432434,0.00007455544,0.0001877632,0.0004475678,0.0001615796],"domain_scores_gemma":[0.9935667,0.0008072948,0.0002877081,0.002024027,0.00247922,0.0008350093],"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":[0.00002064039,0.00001206915,0.0001743678,0.00008040052,0.0000030157,0.000007757617,0.00003424731,0.00002721208,0.00008627642,0.0003731194,0.9848128,0.01436813],"study_design_scores_gemma":[0.0000192166,0.000005172503,0.001216081,0.00006117202,0.000003154689,0.0000216432,0.00003462464,0.0001121748,0.0004919445,0.0002621484,0.9977592,0.0000134227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006160862,0.0002271106,0.002272769,0.0004930767,0.0002116149,0.0001687641,0.612666,0.07657877,0.3067658],"genre_scores_gemma":[0.002503313,0.0004351207,0.002911289,0.0002915508,0.0001022912,0.0002142215,0.5189856,0.04785043,0.4267062],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1671884,"threshold_uncertainty_score":0.2384739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729385164183306,"score_gpt":0.213976086262556,"score_spread":0.1966822346207229,"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."}}