{"id":"W7008149259","doi":"","title":"ARCHIVEIT-1830-MONTHLY-QRDYRH-20120314030802-00038-crawling113.us.archive.org-6681.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":[0.0009532102,0.002119019,0.001185195,0.007220011,0.001822087,0.005641055,0.001906412,0.001428354,0.7805365],"category_scores_gemma":[0.007898184,0.001511272,0.0008541156,0.009270457,0.0005726407,0.003082667,0.003326221,0.00115597,0.8796698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002216613,"about_ca_system_score_gemma":0.002196411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05822215,"about_ca_topic_score_gemma":0.07428219,"domain_scores_codex":[0.9990922,0.00006846603,0.00005336226,0.0001642933,0.0004651944,0.0001565123],"domain_scores_gemma":[0.9944605,0.0006249041,0.0002105011,0.001420138,0.002502944,0.0007810221],"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":[0.0000243918,0.00001042468,0.0001554272,0.00009474673,0.00000358387,0.000007530401,0.00004016131,0.00002704346,0.0001123708,0.0003482418,0.9848815,0.01429466],"study_design_scores_gemma":[0.00002211658,0.000006442254,0.001441496,0.00006687865,0.000004089591,0.00002801731,0.0000425778,0.0001101965,0.0005677898,0.0003058109,0.9973856,0.0000189827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007252657,0.0002862285,0.002519713,0.0004730353,0.0002414033,0.0002017426,0.5102106,0.1105038,0.3748382],"genre_scores_gemma":[0.003212735,0.0004552264,0.004386999,0.0003808977,0.0001244788,0.0002131005,0.4283392,0.08063033,0.4822569],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2194635,"threshold_uncertainty_score":0.313038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007798709761796535,"score_gpt":0.196351501198284,"score_spread":0.1885527914364875,"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."}}