{"id":"W7026687680","doi":"","title":"ARCHIVEIT-1830-NONE-NHGAMN-20111118180637-00000-crawling206.us.archive.org-6683.warc.gz","year":2011,"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":[0.00101253,0.002403645,0.00128407,0.006896049,0.002139443,0.005552168,0.002526689,0.001706626,0.7420964],"category_scores_gemma":[0.008057795,0.001856047,0.0008133778,0.008823816,0.0006675483,0.003577432,0.003905784,0.001241097,0.8674181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002865499,"about_ca_system_score_gemma":0.002817094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09084891,"about_ca_topic_score_gemma":0.1142524,"domain_scores_codex":[0.9990624,0.00007032914,0.00005262313,0.0001804488,0.0004540113,0.0001802106],"domain_scores_gemma":[0.9938121,0.000731025,0.0002082532,0.001868049,0.002465966,0.0009145332],"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":[0.00002481133,0.0000101298,0.0001502576,0.00009539224,0.000003543281,0.000008170165,0.00004154783,0.00003240763,0.0001190606,0.0003753408,0.987931,0.0112083],"study_design_scores_gemma":[0.00002378648,0.000006507566,0.001050259,0.00005855703,0.000003706481,0.00002861072,0.00004603019,0.0001360098,0.0006317397,0.0003329018,0.9976614,0.00002049332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006344187,0.0002502557,0.002787817,0.0004551237,0.000259149,0.000196094,0.5720837,0.1329175,0.290416],"genre_scores_gemma":[0.00271158,0.0003906252,0.004254493,0.0003696182,0.00009454942,0.0002037997,0.5539542,0.08229146,0.3557297],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2579036,"threshold_uncertainty_score":0.3678681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009472015969686347,"score_gpt":0.1930859889522803,"score_spread":0.183613972982594,"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."}}