{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003765718,0.0006292802,0.001102792,0.0004355662,0.000127931,0.0001202002,0.0008473038,0.0008523831,0.5023462],"category_scores_gemma":[0.0001791545,0.0006853711,0.0003372911,0.00003287444,0.0003702553,0.00000176243,0.0002851798,0.0007027393,0.1439769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211093,"about_ca_system_score_gemma":0.00002826621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277288,"about_ca_topic_score_gemma":0.0006143547,"domain_scores_codex":[0.9967375,0.00003783558,0.00184465,0.000602878,0.0001339823,0.000643158],"domain_scores_gemma":[0.9967945,0.0001240402,0.001987312,0.0008326505,0.00008713234,0.0001743726],"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":[0.00002901596,0.00008996408,0.0003609007,0.000310528,0.0001401264,0.000006727225,0.00006981154,0.00002231252,5.514156e-7,0.02362327,0.9736581,0.001688659],"study_design_scores_gemma":[0.0006807809,0.0001915609,0.0003993389,0.0001497956,0.00002157446,0.00002310827,0.00005000138,0.0001173603,0.000009546114,0.003184303,0.9944345,0.0007381649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001098244,0.0005636413,0.00003748906,0.0003776294,0.0005567735,0.0008492116,0.001064723,0.0004380302,0.9950143],"genre_scores_gemma":[0.005871654,0.0008235181,0.002563772,0.0007211355,0.0003051447,0.00009407956,0.0007003446,0.0002146992,0.9887056],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3583694,"threshold_uncertainty_score":0.9995598,"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."}}