{"id":"W6989405700","doi":"","title":"ARCHIVEIT-2901-MONTHLY-CEDHPZ-20111209223216-00031-crawling204.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); Process (computing); Product (mathematics); Work (physics)","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":[0.000977288,0.002351014,0.001368444,0.007817837,0.001940779,0.005876384,0.002193912,0.001552635,0.826648],"category_scores_gemma":[0.007498208,0.001732019,0.0009429174,0.01191627,0.0005461425,0.003297481,0.003326841,0.001444067,0.9191676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002508512,"about_ca_system_score_gemma":0.002263228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05775752,"about_ca_topic_score_gemma":0.06439096,"domain_scores_codex":[0.9991466,0.00007210266,0.00005390694,0.0001577184,0.0004148221,0.0001547482],"domain_scores_gemma":[0.9949557,0.000644764,0.0001994727,0.001403086,0.002079677,0.0007172648],"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":[0.00001736219,0.000009105681,0.0001109512,0.00006592561,0.000002830008,0.000004804562,0.0000212974,0.00002616517,0.00005710977,0.0002920321,0.9889458,0.01044653],"study_design_scores_gemma":[0.00002196421,0.000004473236,0.001018469,0.00005523728,0.000003446586,0.00001783985,0.00002848376,0.0001025779,0.000378691,0.000332621,0.998021,0.00001522862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004032186,0.0001972227,0.00173123,0.0004132056,0.0001715371,0.0001264586,0.6827,0.06295373,0.2513034],"genre_scores_gemma":[0.002218696,0.0004631487,0.003084001,0.0003379439,0.0001116086,0.0002199533,0.5895772,0.05118771,0.3527998],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.173352,"threshold_uncertainty_score":0.2472655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008988622286220398,"score_gpt":0.1904995507279687,"score_spread":0.1815109284417483,"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."}}