{"id":"W7008063621","doi":"","title":"ARCHIVEIT-3230-MONTHLY-AWVWAC-20120909152225-00000-crawling113.us.archive.org-6682.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":"Work (physics); Natural (archaeology); Product (mathematics); Identification (biology)","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":[0.001022602,0.00211458,0.001249432,0.007378842,0.001998354,0.005659047,0.00227648,0.001493943,0.8309049],"category_scores_gemma":[0.009452072,0.001803407,0.0009923243,0.01050961,0.00055062,0.003913507,0.003582169,0.001429541,0.9154114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137256,"about_ca_system_score_gemma":0.002070233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04846854,"about_ca_topic_score_gemma":0.05711877,"domain_scores_codex":[0.999157,0.00008110215,0.00005973115,0.0001647259,0.0003996551,0.0001379024],"domain_scores_gemma":[0.9937897,0.0007863165,0.0002258663,0.001743032,0.002638748,0.0008162207],"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":[0.00001450566,0.000008089554,0.0001062848,0.0000516254,0.000002549087,0.000004046268,0.00002444218,0.00001792475,0.00005187637,0.0002566951,0.9897802,0.009681824],"study_design_scores_gemma":[0.00002110127,0.000004198677,0.0009932361,0.00005340794,0.000003223009,0.0000177563,0.00002925169,0.0000969002,0.0003880269,0.0003138237,0.9980622,0.00001677587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004650873,0.0001729882,0.002406402,0.0004414363,0.0002156708,0.0001743885,0.5952542,0.09409026,0.3067797],"genre_scores_gemma":[0.002555637,0.0003734483,0.004534069,0.0004177396,0.0001332646,0.0003087137,0.4743727,0.09429476,0.4230095],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1690951,"threshold_uncertainty_score":0.2411937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007365941262013172,"score_gpt":0.1947477100359296,"score_spread":0.1873817687739164,"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."}}