{"id":"W6989431297","doi":"","title":"ARCHIVEIT-1830-WEEKLY-XLUVAV-20111220182844-00000-crawling206.us.archive.org-6682.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); 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":[0.001017703,0.002566051,0.001216295,0.007439452,0.001888062,0.005773271,0.002373611,0.00160825,0.7302403],"category_scores_gemma":[0.008064619,0.001922672,0.0009173249,0.009820861,0.0005874285,0.003463519,0.003453256,0.001343069,0.8541285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002492541,"about_ca_system_score_gemma":0.002433548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07458612,"about_ca_topic_score_gemma":0.08927438,"domain_scores_codex":[0.9990902,0.00006959981,0.00005383224,0.0001715721,0.0004465651,0.0001682582],"domain_scores_gemma":[0.9945349,0.0006562442,0.0001980481,0.001614726,0.002265516,0.0007306878],"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":[0.00002164679,0.00001015434,0.0001275939,0.00008265705,0.0000038139,0.000006649853,0.00003184152,0.0000358922,0.00009605152,0.0003190649,0.9882175,0.01104726],"study_design_scores_gemma":[0.00002448818,0.000006511471,0.001157812,0.00006111366,0.00000422151,0.00002474168,0.00003862423,0.0001500077,0.0006160753,0.0003472689,0.9975492,0.00001998367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005694859,0.0002472418,0.002704371,0.0004036849,0.0002279284,0.0001715096,0.6285213,0.1287652,0.2383892],"genre_scores_gemma":[0.00242164,0.000408103,0.004651858,0.0002787518,0.00009465087,0.0002078013,0.5908444,0.08332548,0.3177674],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2697597,"threshold_uncertainty_score":0.3847795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009696948261986976,"score_gpt":0.1929999333121959,"score_spread":0.183302985050209,"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."}}