{"id":"W6980021185","doi":"","title":"ARCHIVEIT-1830-NONE-SGDSGK-20110720215039-00001-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":[0.001038972,0.002649259,0.001361419,0.007153598,0.00208132,0.005785738,0.00268679,0.001806281,0.7242035],"category_scores_gemma":[0.008450396,0.00197859,0.0009101168,0.009267014,0.0006516385,0.003513539,0.003824732,0.001370873,0.8603225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002690717,"about_ca_system_score_gemma":0.002772373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07716509,"about_ca_topic_score_gemma":0.09030463,"domain_scores_codex":[0.9990215,0.00007584036,0.00006022431,0.00019871,0.0004610999,0.0001824888],"domain_scores_gemma":[0.9936433,0.0007794338,0.0002158987,0.001973187,0.002496486,0.0008916627],"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":[0.00002929965,0.00001263962,0.000174763,0.0001018908,0.000004444157,0.000008978514,0.00003991202,0.00004199471,0.0001374452,0.0004275677,0.9870167,0.01200434],"study_design_scores_gemma":[0.00002913332,0.000007212488,0.001188949,0.0000605457,0.000004466036,0.00003219298,0.00004205677,0.0001580525,0.0007433636,0.0003650748,0.997347,0.00002194766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006422236,0.0002393426,0.003295933,0.0004371823,0.0002392388,0.0001925062,0.6026409,0.1470303,0.2452824],"genre_scores_gemma":[0.002576493,0.0003602603,0.004929313,0.0003296386,0.00009220884,0.0002101186,0.6133016,0.08913236,0.289068],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2757965,"threshold_uncertainty_score":0.3933902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009681284260573039,"score_gpt":0.1931422157518236,"score_spread":0.1834609314912505,"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."}}