{"id":"W6989335774","doi":"","title":"ARCHIVEIT-3490-PATCH-TOJEAT-20130129181124-00000-wbgrp-crawl066.us.archive.org-6682.warc.gz","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); 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":[0.001180291,0.002370923,0.001651887,0.007333362,0.001624734,0.00669241,0.002921328,0.002036583,0.8828909],"category_scores_gemma":[0.01039661,0.001837685,0.001199526,0.009936001,0.0007157114,0.004662433,0.004507128,0.001709915,0.944059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00252562,"about_ca_system_score_gemma":0.001943111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03710514,"about_ca_topic_score_gemma":0.03292195,"domain_scores_codex":[0.9990771,0.00008947386,0.00006189735,0.0001880935,0.0004157849,0.000167615],"domain_scores_gemma":[0.9942265,0.0009727667,0.0002312333,0.001753261,0.002147046,0.0006692897],"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":[0.00002388875,0.00001312725,0.0001474672,0.00009281014,0.000004049016,0.000007525422,0.00003579081,0.00003614749,0.00005444399,0.0003991136,0.9867029,0.01248273],"study_design_scores_gemma":[0.00002678555,0.000005189111,0.0008763756,0.00007584177,0.000003920743,0.00002013092,0.00003401494,0.00009101794,0.0003897485,0.0006058527,0.9978537,0.00001741603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003502668,0.0001807152,0.002423645,0.0003903212,0.0002273429,0.0001012099,0.6241505,0.09106371,0.2811122],"genre_scores_gemma":[0.002356585,0.0003781365,0.003284986,0.0003846133,0.0001125121,0.0002247822,0.5001875,0.1031676,0.3899032],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1171091,"threshold_uncertainty_score":0.1670418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175450940117554,"score_gpt":0.1707369896223893,"score_spread":0.1589824802212138,"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."}}