{"id":"W6998634544","doi":"","title":"ARCHIVEIT-279-WEEKLY-YIGIQA-20110906135526-00000-crawling207.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":[0.001110264,0.002359518,0.001209552,0.006647233,0.00199931,0.005391925,0.002410874,0.001725672,0.8081681],"category_scores_gemma":[0.007749672,0.00196853,0.0008890383,0.00888833,0.0006246801,0.004007887,0.003995338,0.001385332,0.9019668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002672888,"about_ca_system_score_gemma":0.002046138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05372002,"about_ca_topic_score_gemma":0.06160947,"domain_scores_codex":[0.999198,0.00007081685,0.00005610575,0.0001683183,0.0003453071,0.0001614862],"domain_scores_gemma":[0.9943511,0.0006359853,0.0002356244,0.001924546,0.001990153,0.0008625138],"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":[0.00002454955,0.00001143902,0.0001784738,0.00008094637,0.000003451889,0.000007475047,0.0000380683,0.00003246709,0.000110593,0.0003707673,0.9884409,0.01070086],"study_design_scores_gemma":[0.00003288873,0.000007537373,0.001507721,0.00005350436,0.000003973728,0.00002835402,0.00004380162,0.0001580278,0.0006839685,0.0002503901,0.9972091,0.0000207232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006970305,0.000219313,0.002684125,0.0004944247,0.000223436,0.0002052144,0.6068067,0.1221456,0.2665242],"genre_scores_gemma":[0.003531348,0.0004215217,0.003786302,0.0003642896,0.0001157359,0.0002892088,0.5235775,0.08362547,0.3842886],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1918319,"threshold_uncertainty_score":0.2736249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009260796443595658,"score_gpt":0.1916886519172995,"score_spread":0.1824278554737038,"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."}}