{"id":"W6998612126","doi":"","title":"ARCHIVEIT-2475-QUARTERLY-NHJIBM-20120415043111-00010-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); 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":[0.0007882463,0.001632815,0.000911372,0.006310479,0.00180778,0.004925742,0.002025843,0.001186575,0.8789529],"category_scores_gemma":[0.006723836,0.001365369,0.0007321545,0.01174264,0.0005026703,0.00273293,0.002597474,0.001264612,0.9122694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521796,"about_ca_system_score_gemma":0.002492244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09560221,"about_ca_topic_score_gemma":0.08363482,"domain_scores_codex":[0.9993939,0.00005139711,0.00003966248,0.0001128738,0.0002887482,0.0001133725],"domain_scores_gemma":[0.9953458,0.000618341,0.0002250487,0.0009825447,0.002156902,0.000671368],"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":[0.00001352415,0.000007827015,0.0001298727,0.00007497517,0.000001845706,0.000005031764,0.00002880443,0.00001599854,0.00003753701,0.0002772597,0.9894432,0.009964114],"study_design_scores_gemma":[0.00001624751,0.00000341246,0.001161936,0.0000648313,0.000002360836,0.00001160485,0.00003999576,0.00003432123,0.0002192767,0.0001875446,0.9982474,0.00001113567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003533336,0.0001741175,0.000819299,0.0003553658,0.0002410695,0.0001099501,0.6584594,0.02252855,0.3169589],"genre_scores_gemma":[0.002196582,0.0005030009,0.001821732,0.000375273,0.0001462861,0.0002294378,0.4161523,0.02623521,0.5523402],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1210471,"threshold_uncertainty_score":0.1900915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006719117369081535,"score_gpt":0.1939374280532475,"score_spread":0.1872183106841659,"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."}}