{"id":"W6998705024","doi":"","title":"ARCHIVEIT-3490-TWELVE_HOURS-QOTBCM-20130201034629-00000-crawling113.us.archive.org-6683.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":[0.001028621,0.002530179,0.001538184,0.007788027,0.002162596,0.006390812,0.002606572,0.001629032,0.8310201],"category_scores_gemma":[0.008781848,0.001866447,0.001157199,0.01076505,0.00067499,0.004049112,0.004358035,0.001484086,0.9232183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002510258,"about_ca_system_score_gemma":0.00241748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0535198,"about_ca_topic_score_gemma":0.06088901,"domain_scores_codex":[0.9991189,0.00007460656,0.00005397876,0.0001760445,0.0004256169,0.0001509095],"domain_scores_gemma":[0.9946015,0.0006637059,0.0001778791,0.001577821,0.002236578,0.0007425753],"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":[0.00002131415,0.000009211094,0.00009931118,0.0000775767,0.000003553646,0.000006453135,0.00003126682,0.0000250539,0.00007938328,0.0002687031,0.9882709,0.01110722],"study_design_scores_gemma":[0.00002385621,0.000005924025,0.0008923957,0.00006123489,0.000003947949,0.00002299282,0.00004186495,0.000102136,0.0005028002,0.0003706448,0.9979535,0.00001864468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004505026,0.0002256922,0.002844515,0.0004813567,0.0002617807,0.0001890603,0.5704193,0.1179262,0.3072015],"genre_scores_gemma":[0.002301176,0.0004640507,0.00483864,0.0003664503,0.0001121683,0.0002517487,0.4954342,0.09227084,0.4039607],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1689799,"threshold_uncertainty_score":0.2410292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006705255377058732,"score_gpt":0.1926076777021695,"score_spread":0.1859024223251108,"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."}}