{"id":"W6989266687","doi":"","title":"ARCHIVEIT-1830-WEEKLY-FRHIFF-20120214182725-00000-crawling210.us.archive.org-6681.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":[0.0009549222,0.002605396,0.00124318,0.008050418,0.001996002,0.005557709,0.00235598,0.001598277,0.7081296],"category_scores_gemma":[0.007881276,0.001800994,0.0009290166,0.009643671,0.0005931914,0.00343332,0.003393234,0.001307486,0.8408183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002581501,"about_ca_system_score_gemma":0.002536342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09080433,"about_ca_topic_score_gemma":0.1052031,"domain_scores_codex":[0.999106,0.00006159012,0.00004806158,0.0001806907,0.0004270833,0.0001764835],"domain_scores_gemma":[0.9948068,0.0005592263,0.0001840248,0.001469293,0.002197925,0.0007826129],"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":[0.00002284654,0.00001075573,0.0001489211,0.00008300839,0.00000398395,0.000007435649,0.00003518596,0.00003447284,0.0001081897,0.0003514408,0.9878337,0.01135988],"study_design_scores_gemma":[0.00002549027,0.000006546231,0.001321373,0.00005897201,0.000004456893,0.00002792509,0.00003807302,0.0001529616,0.0006338732,0.0003462409,0.9973634,0.00002076834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006273586,0.0002809435,0.002620595,0.0004113211,0.000232494,0.0001727533,0.6218716,0.1330145,0.2407685],"genre_scores_gemma":[0.002732031,0.0004289554,0.00460252,0.0003129082,0.0001044386,0.0001998734,0.5998424,0.08182574,0.3099512],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2918704,"threshold_uncertainty_score":0.4163177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00787016388772995,"score_gpt":0.1966292511736458,"score_spread":0.1887590872859159,"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."}}