{"id":"W6998671518","doi":"","title":"ARCHIVEIT-3490-PATCH-EBILWN-20130129181923-00000-crawling113.us.archive.org-6682.warc.gz","year":2013,"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); 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":[0.001054261,0.002552654,0.001607657,0.00648558,0.002091369,0.005996969,0.003224746,0.002008671,0.8653584],"category_scores_gemma":[0.009773764,0.002233165,0.001095363,0.00840255,0.0007054718,0.005091367,0.005043504,0.001555385,0.9398383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232623,"about_ca_system_score_gemma":0.001817026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03493678,"about_ca_topic_score_gemma":0.03907769,"domain_scores_codex":[0.999171,0.00007346361,0.00005051041,0.0001883434,0.0003631821,0.0001534909],"domain_scores_gemma":[0.9939062,0.000863635,0.0001934937,0.00212212,0.002080842,0.0008337515],"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":[0.00002157342,0.00001027488,0.000101491,0.00008002466,0.000003102109,0.000007080788,0.00003895886,0.00002404651,0.00007994549,0.0003162707,0.9877621,0.01155519],"study_design_scores_gemma":[0.00002758229,0.000006142976,0.0006889794,0.00007551254,0.000003946068,0.00002896156,0.00004128577,0.0001177107,0.0005189715,0.0004246564,0.998047,0.00001927935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004842486,0.0002300807,0.004198797,0.0004962009,0.0002536426,0.0002105399,0.3868101,0.2093233,0.3979932],"genre_scores_gemma":[0.002971847,0.0004415005,0.005265384,0.0005340771,0.0001201684,0.0002997942,0.3520156,0.1873227,0.451029],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1346416,"threshold_uncertainty_score":0.1920499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006519142521968633,"score_gpt":0.1903873994175136,"score_spread":0.183868256895545,"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."}}