{"id":"W6989278970","doi":"","title":"ARCHIVEIT-1830-NONE-YKFRWN-20111207221735-00000-crawling210.us.archive.org-6680.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":[0.001023628,0.002740306,0.001405112,0.007467773,0.002142243,0.005831719,0.002658786,0.00181806,0.7429566],"category_scores_gemma":[0.008366532,0.001994973,0.0009187576,0.009861563,0.0006662806,0.003758609,0.004076328,0.001353506,0.8782778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002729074,"about_ca_system_score_gemma":0.002825067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08632876,"about_ca_topic_score_gemma":0.1034927,"domain_scores_codex":[0.9990532,0.00006830131,0.00005508577,0.0001878251,0.000450386,0.0001851724],"domain_scores_gemma":[0.9940388,0.000675053,0.0001999004,0.001790966,0.002431116,0.0008641783],"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":[0.00002466226,0.00001039845,0.0001441248,0.0000973133,0.000003828604,0.000008366443,0.00003835469,0.00003299445,0.0001164409,0.0003719012,0.9884748,0.01067694],"study_design_scores_gemma":[0.00002489903,0.000006292327,0.00102483,0.00006167626,0.000004017998,0.00002916399,0.00004300451,0.0001277979,0.0006110278,0.0003310986,0.9977154,0.00002064966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005733157,0.0002639851,0.002865323,0.0004210159,0.000239085,0.0001871603,0.6086541,0.1383603,0.2484358],"genre_scores_gemma":[0.002342148,0.0004062627,0.004216392,0.000322788,0.00008547028,0.0002036101,0.604131,0.0872706,0.3010217],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2570434,"threshold_uncertainty_score":0.3666412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00936343738052904,"score_gpt":0.1925185300130688,"score_spread":0.1831550926325398,"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."}}