{"id":"W6998721321","doi":"","title":"ARCHIVEIT-1830-WEEKLY-NWUYDC-20120417182849-00000-crawling207.us.archive.org-6682.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":[0.0009109813,0.002376521,0.001215648,0.007416741,0.001914437,0.005592115,0.002145927,0.001410773,0.7093947],"category_scores_gemma":[0.00718366,0.001715477,0.0008476045,0.009852535,0.000562289,0.003294427,0.0032719,0.001248323,0.8435214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002489506,"about_ca_system_score_gemma":0.002554812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08967501,"about_ca_topic_score_gemma":0.1120188,"domain_scores_codex":[0.999186,0.00005913096,0.00004588806,0.0001642343,0.0003866859,0.0001581585],"domain_scores_gemma":[0.9950243,0.0005337154,0.0001761214,0.001347081,0.002142984,0.0007757134],"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":[0.00002307039,0.00001038209,0.0001552953,0.0000897065,0.000003939575,0.000007309355,0.0000394066,0.00003287198,0.0001161819,0.0003589672,0.9878629,0.01129989],"study_design_scores_gemma":[0.00002184045,0.00000575082,0.001234347,0.00005882524,0.00000421412,0.00002406274,0.00004133883,0.0001364441,0.0005803496,0.0003169178,0.9975575,0.00001834499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006407868,0.0002759216,0.00246533,0.0003833201,0.0002329918,0.0001642415,0.6284332,0.1091978,0.2582063],"genre_scores_gemma":[0.002655267,0.0004487081,0.004177173,0.0002791196,0.00009275253,0.0001925671,0.5857484,0.07542866,0.3309773],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2906053,"threshold_uncertainty_score":0.4145132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008129446396993959,"score_gpt":0.1975412574985297,"score_spread":0.1894118111015358,"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."}}