{"id":"W6989488157","doi":"","title":"ARCHIVEIT-1830-NONE-BLWGYQ-20111205160832-00000-crawling208.us.archive.org-6682.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":[0.001162592,0.00272014,0.001424385,0.007955376,0.002184873,0.005874045,0.002598844,0.001885691,0.7127964],"category_scores_gemma":[0.009270789,0.002041348,0.0009321167,0.01022427,0.0006890804,0.003717229,0.003988613,0.001399008,0.8540817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002911085,"about_ca_system_score_gemma":0.002952248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09511587,"about_ca_topic_score_gemma":0.1093751,"domain_scores_codex":[0.9989296,0.00007943664,0.00006237075,0.0002117738,0.0005157329,0.0002010196],"domain_scores_gemma":[0.9930843,0.0008522093,0.0002350905,0.002061568,0.002870707,0.000896092],"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":[0.0000260583,0.00001016155,0.0001549273,0.000100072,0.000004406145,0.000007457318,0.00003752753,0.00003445461,0.0001243755,0.0003398228,0.9894387,0.009722102],"study_design_scores_gemma":[0.00003102086,0.000007367411,0.001292729,0.00006315076,0.000004752025,0.00002898345,0.00004600651,0.0001545881,0.0007321318,0.0003629851,0.9972526,0.00002370325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005697803,0.0002555538,0.002807435,0.0004330871,0.0002247218,0.0001798944,0.6647735,0.1405618,0.1901943],"genre_scores_gemma":[0.002390904,0.0003667032,0.004481875,0.0003520149,0.00008586663,0.0002097081,0.6632515,0.0890343,0.2398272],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2872036,"threshold_uncertainty_score":0.409661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009597927219715117,"score_gpt":0.1933112023235769,"score_spread":0.1837132751038618,"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."}}