{"id":"W7008219052","doi":"","title":"ARCHIVEIT-279-WEEKLY-LCJVRM-20110628135432-00000-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":[0.00103892,0.002483955,0.001262765,0.006913584,0.002184996,0.005968791,0.00254209,0.001904986,0.8151478],"category_scores_gemma":[0.008311993,0.002192691,0.0009523001,0.008990402,0.0006446565,0.004202737,0.004135706,0.001428961,0.9027357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002916802,"about_ca_system_score_gemma":0.002030505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06130068,"about_ca_topic_score_gemma":0.07472648,"domain_scores_codex":[0.9990987,0.00008031612,0.0000612795,0.0001879962,0.0003994969,0.0001722303],"domain_scores_gemma":[0.994096,0.0006717693,0.0002444532,0.002090017,0.001974952,0.0009228059],"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":[0.00002055493,0.00001037072,0.0001427692,0.00008126826,0.000003323746,0.00000706195,0.00003703597,0.00002985723,0.0001016715,0.0003396381,0.9891815,0.01004489],"study_design_scores_gemma":[0.00002783103,0.000007260241,0.001280269,0.00005643536,0.000004148985,0.00002809702,0.00004072333,0.0001552896,0.0006405054,0.0002404723,0.9974988,0.00002018132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006324188,0.0002144645,0.002580019,0.0004819808,0.0002405148,0.0001957861,0.5747018,0.1323684,0.2885846],"genre_scores_gemma":[0.003362505,0.0004128066,0.003696757,0.0003585801,0.0001219662,0.0002400551,0.5004252,0.08949383,0.4018883],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1848522,"threshold_uncertainty_score":0.2636692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00936628344223157,"score_gpt":0.1917037585626335,"score_spread":0.1823374751204019,"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."}}