{"id":"W7017437817","doi":"","title":"ARCHIVEIT-3490-DAILY-JOUJGQ-20130128055207-00000-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":[0.001328442,0.002501332,0.00149336,0.007972903,0.002165327,0.006816749,0.002948513,0.001704955,0.7950134],"category_scores_gemma":[0.01119921,0.001993668,0.001129569,0.01059408,0.0007409341,0.00415854,0.004222267,0.001517142,0.9044923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002526456,"about_ca_system_score_gemma":0.002627926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06546941,"about_ca_topic_score_gemma":0.0673298,"domain_scores_codex":[0.9989102,0.00009776341,0.0000683097,0.0002211361,0.0005162499,0.0001863519],"domain_scores_gemma":[0.9924456,0.0008930583,0.0002271106,0.002248393,0.003229841,0.0009558971],"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":[0.00002339541,0.00001095947,0.0001365832,0.00008278534,0.000004059279,0.000006551879,0.00003803006,0.00003212332,0.0000888974,0.0003281407,0.988378,0.01087045],"study_design_scores_gemma":[0.00003129531,0.000007285824,0.001030403,0.00006501735,0.000004515755,0.00002407028,0.00004514061,0.0001528445,0.0005378862,0.0004209181,0.9976572,0.00002330661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005463098,0.0002355967,0.00342195,0.0004715911,0.0002663438,0.00019688,0.5671351,0.1624028,0.2653234],"genre_scores_gemma":[0.002806802,0.0004536005,0.005433088,0.0003885883,0.0001257916,0.0002714471,0.5192035,0.1334479,0.3378692],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2049866,"threshold_uncertainty_score":0.2923884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006516502726374797,"score_gpt":0.1895016686296458,"score_spread":0.182985165903271,"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."}}