{"id":"W7008029935","doi":"","title":"ARCHIVEIT-279-WEEKLY-NILYBI-20111115135418-00000-crawling206.us.archive.org-6681.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":"Process (computing); Work (physics); Identification (biology); Product (mathematics)","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":[0.001076989,0.00253648,0.00126894,0.006962921,0.002176208,0.005723909,0.002552463,0.001851858,0.7918148],"category_scores_gemma":[0.008227977,0.002215251,0.0009381504,0.008599064,0.0006598849,0.004300711,0.004288385,0.00149756,0.8924022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002810451,"about_ca_system_score_gemma":0.001995678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05468804,"about_ca_topic_score_gemma":0.06712575,"domain_scores_codex":[0.999137,0.00007781775,0.00005937998,0.0001746527,0.0003839339,0.0001673011],"domain_scores_gemma":[0.9940215,0.0007276147,0.0002474389,0.002096593,0.001978487,0.0009283022],"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":[0.00002338644,0.00001033,0.0001505435,0.00008583719,0.000003471102,0.000007480582,0.00003917269,0.00002854427,0.00009937337,0.0003570637,0.9895105,0.009684337],"study_design_scores_gemma":[0.00003128392,0.000007246542,0.00138758,0.00005886901,0.000004289804,0.00002966676,0.00004285667,0.0001527138,0.0006970464,0.0002780129,0.9972882,0.00002229539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006258254,0.0002286777,0.00277407,0.0005037165,0.0002365934,0.0001984383,0.5903411,0.1337423,0.2713494],"genre_scores_gemma":[0.003367123,0.000443988,0.004085241,0.0003804032,0.0001231289,0.0002706226,0.5103801,0.09782616,0.3831232],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2081852,"threshold_uncertainty_score":0.2969509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00939245519689807,"score_gpt":0.1915582486296263,"score_spread":0.1821657934327282,"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."}}