{"id":"W7026930323","doi":"","title":"ARCHIVEIT-1830-NONE-XXHVTJ-20120222060537-00002-crawling206.us.archive.org-6683.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":[0.0009447838,0.002633696,0.00134736,0.007252598,0.002145908,0.005878159,0.002536441,0.001776935,0.7375942],"category_scores_gemma":[0.008122184,0.00187687,0.0008816562,0.008868534,0.0006508233,0.003569215,0.003891019,0.001316722,0.8702687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582379,"about_ca_system_score_gemma":0.002506397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0755158,"about_ca_topic_score_gemma":0.09029993,"domain_scores_codex":[0.9990386,0.00006794519,0.00005386037,0.0001933282,0.0004673895,0.0001788452],"domain_scores_gemma":[0.9941566,0.0006612951,0.0001918495,0.001769108,0.002364321,0.0008567451],"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":[0.00002696149,0.00001210089,0.0001690053,0.0001012148,0.000004303545,0.000009475092,0.00004428273,0.00003586529,0.0001421082,0.0004011163,0.9867015,0.01235205],"study_design_scores_gemma":[0.00002725565,0.000007482283,0.001201099,0.00006465321,0.000004473358,0.0000355049,0.00004459858,0.0001573974,0.0007093975,0.0003544669,0.9973717,0.00002203725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006988298,0.0002791536,0.00320181,0.0004486202,0.0002618284,0.0002103093,0.5383405,0.1675674,0.2889914],"genre_scores_gemma":[0.002938466,0.000407368,0.004693136,0.0003643111,0.0001035597,0.0002051073,0.5574937,0.09955986,0.3342345],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2624058,"threshold_uncertainty_score":0.3742899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007943357570530624,"score_gpt":0.1974724377035791,"score_spread":0.1895290801330485,"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."}}