{"id":"W7035818293","doi":"","title":"ARCHIVEIT-1830-NONE-WDTZYP-20111123211432-00000-crawling113.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":[0.001113491,0.00256993,0.001321309,0.007146354,0.002132633,0.00581483,0.002606277,0.001823817,0.7040996],"category_scores_gemma":[0.008877139,0.001970425,0.0008810755,0.008698912,0.0006422955,0.003654307,0.003900491,0.001365531,0.8475938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002755777,"about_ca_system_score_gemma":0.002800032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07833596,"about_ca_topic_score_gemma":0.09686319,"domain_scores_codex":[0.9989502,0.0000788176,0.00006426325,0.0001990095,0.000515276,0.0001924386],"domain_scores_gemma":[0.9933883,0.0007544772,0.0002195133,0.002090536,0.002672534,0.000874644],"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":[0.00002639554,0.00001186189,0.0001573384,0.00009197804,0.000004279128,0.000007959902,0.00003573186,0.00003923453,0.0001362152,0.0004360712,0.9879924,0.01106051],"study_design_scores_gemma":[0.00002861036,0.000007525604,0.001189225,0.00005817364,0.000004548845,0.00003110151,0.00004151801,0.0001820717,0.0007689514,0.0004015052,0.9972638,0.00002308995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006714804,0.0002471647,0.003768477,0.0004845056,0.0002595518,0.0002172703,0.5633165,0.1633368,0.2676982],"genre_scores_gemma":[0.002828295,0.0003635097,0.005252828,0.0003549839,0.00009472753,0.0002267979,0.5741156,0.09545667,0.3213065],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2959004,"threshold_uncertainty_score":0.422066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009570064315531925,"score_gpt":0.1927185434790946,"score_spread":0.1831484791635627,"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."}}