{"id":"W6998689571","doi":"","title":"ARCHIVEIT-3490-DAILY-LFIPON-20130117054657-00000-crawling113.us.archive.org-6680.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":[0.001198127,0.002680613,0.00145646,0.008160184,0.002091082,0.006335753,0.002918505,0.001610162,0.7606881],"category_scores_gemma":[0.009997794,0.002018062,0.001044328,0.01097733,0.0006853006,0.004114781,0.004220861,0.001558911,0.8941053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00265561,"about_ca_system_score_gemma":0.002691188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0666571,"about_ca_topic_score_gemma":0.07119189,"domain_scores_codex":[0.9989634,0.00008298219,0.00006301385,0.0002097111,0.0004955232,0.0001854585],"domain_scores_gemma":[0.9932862,0.0007452167,0.0002175217,0.002159256,0.00272826,0.0008635157],"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":[0.00002361161,0.000009890829,0.0001338467,0.00007912335,0.000003812273,0.000006446443,0.00003449343,0.00003396565,0.00008282367,0.0003154373,0.9885255,0.01075102],"study_design_scores_gemma":[0.00002843977,0.000006713683,0.001015487,0.0000647778,0.00000465018,0.00002384638,0.00004061593,0.0001510835,0.0006092517,0.000437286,0.9975957,0.00002210116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004760374,0.0002183769,0.003125594,0.0004023862,0.000212918,0.0001701959,0.6229164,0.1480251,0.224453],"genre_scores_gemma":[0.002483336,0.000454703,0.004719057,0.0003275824,0.0001076478,0.0002497722,0.5985667,0.1106365,0.2824547],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2393119,"threshold_uncertainty_score":0.3413494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006477086963919773,"score_gpt":0.1886707561952392,"score_spread":0.1821936692313195,"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."}}