{"id":"W7045722586","doi":"","title":"ARCHIVEIT-1830-NONE-KUUXZK-20120111154512-00000-crawling115.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":[0.001041174,0.002567218,0.001447995,0.007871313,0.002155018,0.006277831,0.002416211,0.001889962,0.7266532],"category_scores_gemma":[0.009089919,0.001904465,0.000929497,0.008755295,0.0006786152,0.004078097,0.004306095,0.001336509,0.8631619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002499993,"about_ca_system_score_gemma":0.002243415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05536331,"about_ca_topic_score_gemma":0.06587733,"domain_scores_codex":[0.9989501,0.00007972628,0.00007016689,0.0002219823,0.0004782036,0.0001998892],"domain_scores_gemma":[0.9940971,0.0007113137,0.0002229386,0.001860053,0.002292373,0.0008162364],"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":[0.00003989676,0.00001341123,0.0002023537,0.000129221,0.000005509411,0.00001121327,0.00004374587,0.00004235937,0.0001475271,0.0004704075,0.9868162,0.01207817],"study_design_scores_gemma":[0.00003496416,0.000008079269,0.0014373,0.00007716777,0.000005079723,0.00003969469,0.00005169886,0.0001691539,0.0007850182,0.000405572,0.9969611,0.0000251878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007761269,0.0003314147,0.002967588,0.0004618044,0.000268341,0.00019707,0.6431555,0.1488256,0.2030165],"genre_scores_gemma":[0.003037296,0.0004048924,0.004671594,0.000348466,0.00009479575,0.0002213563,0.6494046,0.09728438,0.2445326],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2733468,"threshold_uncertainty_score":0.389896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008248041475792244,"score_gpt":0.197442950470666,"score_spread":0.1891949089948737,"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."}}