{"id":"W7017499370","doi":"","title":"ARCHIVEIT-1830-WEEKLY-HDSIUJ-20111227182720-00000-crawling202.us.archive.org-6683.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":[0.0009310148,0.002528832,0.001213753,0.008070336,0.001960089,0.005556909,0.002181786,0.001534626,0.7128671],"category_scores_gemma":[0.007134732,0.00180308,0.0008685949,0.01069991,0.0005816627,0.003320564,0.003436368,0.001273249,0.84771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002609331,"about_ca_system_score_gemma":0.002623177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09145365,"about_ca_topic_score_gemma":0.1171569,"domain_scores_codex":[0.9991661,0.00005827989,0.00004654696,0.0001605672,0.0004008932,0.0001675597],"domain_scores_gemma":[0.9948782,0.0005452877,0.0001822144,0.001418558,0.002172177,0.0008037075],"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":[0.00002155874,0.000010033,0.0001330436,0.00008219524,0.000003746773,0.000006701256,0.00003139062,0.00003207039,0.000109671,0.0003130636,0.989089,0.01016757],"study_design_scores_gemma":[0.00002309595,0.000006360181,0.001305399,0.00005543617,0.000004261911,0.00002456999,0.00004094063,0.0001349578,0.0006154669,0.0002998264,0.9974707,0.00001904563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005837475,0.0002534077,0.002176095,0.0003771198,0.0002275463,0.0001626583,0.6538783,0.1051485,0.2371927],"genre_scores_gemma":[0.002336754,0.0004106838,0.003728579,0.0002655346,0.00009029426,0.0001742421,0.6215662,0.06354915,0.3078786],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2871329,"threshold_uncertainty_score":0.4095603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009587586775116006,"score_gpt":0.1925012408770886,"score_spread":0.1829136541019726,"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."}}