{"id":"W6980018312","doi":"","title":"ARCHIVEIT-279-WEEKLY-VUXSNB-20120320135509-00000-crawling200.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":"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":[0.001106906,0.002511427,0.001283503,0.007163222,0.002012287,0.005664834,0.002530413,0.001830995,0.7448014],"category_scores_gemma":[0.009066327,0.002180059,0.0009172212,0.009073609,0.0006106989,0.00396668,0.003785941,0.001347669,0.848447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536636,"about_ca_system_score_gemma":0.001917436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06011894,"about_ca_topic_score_gemma":0.06819443,"domain_scores_codex":[0.9991096,0.00008356457,0.00006365921,0.0001928521,0.000394472,0.000155965],"domain_scores_gemma":[0.9943538,0.0007265597,0.0002388813,0.001868087,0.001955056,0.0008576975],"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":[0.00002590309,0.00001045537,0.0001837893,0.00009350354,0.000004091923,0.000008036588,0.00004371203,0.0000355196,0.0001068708,0.0003694863,0.9899367,0.009181954],"study_design_scores_gemma":[0.00003691502,0.00000850931,0.0015759,0.00007032035,0.000004900901,0.0000342289,0.00004368063,0.000192635,0.0007767465,0.0003050321,0.9969273,0.00002379913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006459888,0.000253457,0.00276824,0.0004127391,0.0002239331,0.0001680266,0.6655665,0.1442613,0.1856998],"genre_scores_gemma":[0.003561585,0.0004229085,0.004290102,0.0003047351,0.0001183943,0.0002450225,0.6282697,0.1079363,0.2548512],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2551986,"threshold_uncertainty_score":0.3640098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00796900285105715,"score_gpt":0.1965557974541696,"score_spread":0.1885867946031124,"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."}}