{"id":"W7008135096","doi":"","title":"ARCHIVEIT-1830-WEEKLY-WAOLMY-20120904182937-00000-crawling114.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":[0.000957029,0.002501981,0.001235852,0.007944941,0.001940496,0.005686935,0.002300671,0.00154237,0.7181625],"category_scores_gemma":[0.007746735,0.001800989,0.0009062086,0.01001777,0.0005935064,0.003511474,0.00354366,0.001284298,0.847785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481129,"about_ca_system_score_gemma":0.002393067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08218173,"about_ca_topic_score_gemma":0.1014444,"domain_scores_codex":[0.9991236,0.00006148568,0.00004931231,0.0001762044,0.0004210709,0.0001683698],"domain_scores_gemma":[0.9947075,0.0005587968,0.0001920952,0.001533442,0.002199516,0.000808711],"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":[0.00002425818,0.00001116015,0.0001663725,0.0000889505,0.000004318107,0.000007612914,0.00003877586,0.00003326555,0.0001204206,0.0003563073,0.9875255,0.0116231],"study_design_scores_gemma":[0.00002578705,0.000006685933,0.001370825,0.00006284451,0.000004818784,0.00002724986,0.00004206605,0.0001516149,0.0006320451,0.0003396963,0.9973158,0.00002045636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006828819,0.0002863757,0.002694441,0.0004159567,0.0002253768,0.0001882146,0.5903658,0.1383792,0.2667617],"genre_scores_gemma":[0.002978144,0.0004556236,0.004402309,0.0003274915,0.000101896,0.0002093134,0.5601705,0.08880403,0.3425507],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2818375,"threshold_uncertainty_score":0.4020069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008254224190245138,"score_gpt":0.1974844502075375,"score_spread":0.1892302260172924,"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."}}