{"id":"W7026770868","doi":"","title":"ARCHIVEIT-1830-NONE-EUGJLD-20111013032012-00000-crawling115.us.archive.org-6681.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":[0.001116526,0.002700534,0.001389702,0.00779481,0.002230641,0.006278908,0.002580862,0.00188883,0.7277544],"category_scores_gemma":[0.008584211,0.001988211,0.0009274773,0.009707849,0.0006855126,0.003609829,0.004032054,0.001433843,0.8618965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002842103,"about_ca_system_score_gemma":0.00282911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08440457,"about_ca_topic_score_gemma":0.1050297,"domain_scores_codex":[0.9989459,0.00007739097,0.00006240009,0.0002062046,0.0005115677,0.0001965026],"domain_scores_gemma":[0.9937355,0.0007763557,0.000205193,0.001961961,0.002449562,0.0008715061],"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":[0.000027937,0.00001249913,0.0001647432,0.00009924495,0.000004455194,0.000008540511,0.00003735311,0.00003789679,0.0001339534,0.0003905462,0.9881093,0.01097358],"study_design_scores_gemma":[0.00002925433,0.000007116964,0.001183907,0.00006687538,0.00000466615,0.0000309235,0.00004684161,0.0001610918,0.0007340261,0.0003652486,0.9973475,0.00002248227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000633408,0.000260521,0.002894419,0.0004473522,0.0002434648,0.0001910921,0.6361338,0.1300373,0.2291586],"genre_scores_gemma":[0.002281055,0.000358438,0.004397429,0.0003263917,0.000079884,0.0001894444,0.6437657,0.07342368,0.2751779],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2722456,"threshold_uncertainty_score":0.3883253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00954639492336322,"score_gpt":0.1933019971553882,"score_spread":0.183755602232025,"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."}}