{"id":"W6980006189","doi":"","title":"ARCHIVEIT-1830-WEEKLY-KNGFRC-20120619182856-00000-crawling208.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":[0.00100431,0.002763786,0.001317265,0.008356924,0.00202805,0.005634426,0.002496774,0.001624713,0.707171],"category_scores_gemma":[0.007603412,0.001821968,0.0009151005,0.01010119,0.0006007577,0.003674506,0.003625351,0.001289686,0.8585281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002853899,"about_ca_system_score_gemma":0.002620464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08738109,"about_ca_topic_score_gemma":0.1131705,"domain_scores_codex":[0.9989833,0.00006960093,0.00005780821,0.000219202,0.000475238,0.0001947978],"domain_scores_gemma":[0.9943416,0.0005492833,0.0002046982,0.001627111,0.002432248,0.0008450483],"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":[0.00002322909,0.00001092351,0.0001433799,0.00008906225,0.000004253487,0.000007674377,0.00003207841,0.00004011086,0.0001215526,0.0003306317,0.9881346,0.01106254],"study_design_scores_gemma":[0.00002408789,0.000006917064,0.001184729,0.00006323762,0.000004706342,0.00002959221,0.00003897833,0.0001748016,0.0006942396,0.0003499713,0.9974058,0.00002283457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006195831,0.0002773427,0.002722906,0.0003699345,0.0002190574,0.0001651862,0.6028207,0.1434422,0.2493631],"genre_scores_gemma":[0.002495597,0.0003955513,0.004303141,0.0002908413,0.00008268149,0.0001788663,0.6048878,0.08451013,0.3028555],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.292829,"threshold_uncertainty_score":0.417685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008135072677767365,"score_gpt":0.1976156096708335,"score_spread":0.1894805369930662,"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."}}