{"id":"W7026770129","doi":"","title":"ARCHIVEIT-279-WEEKLY-CAMMEJ-20111004135648-00000-crawling206.us.archive.org-6681.warc.gz","year":2011,"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); Work (physics); 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":[0.001029327,0.002418023,0.001210835,0.006796805,0.002236324,0.00617153,0.002492405,0.001896316,0.8233303],"category_scores_gemma":[0.00821679,0.002107271,0.0009281669,0.008788209,0.0006641937,0.004246647,0.004068775,0.001477897,0.9039358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002821193,"about_ca_system_score_gemma":0.002025264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05718619,"about_ca_topic_score_gemma":0.07342953,"domain_scores_codex":[0.9991592,0.000073457,0.00005645124,0.0001668617,0.0003853165,0.0001586978],"domain_scores_gemma":[0.9940888,0.0007030306,0.0002455388,0.002015888,0.001990226,0.0009565186],"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":[0.0000214308,0.00001074187,0.0001424741,0.00007993506,0.000003264744,0.000007619092,0.00003688738,0.00002877928,0.00009940578,0.0003771239,0.9889453,0.01024688],"study_design_scores_gemma":[0.000027305,0.000006675864,0.001293113,0.00005688724,0.000003951481,0.00002941355,0.00004020433,0.0001429915,0.0006026725,0.0002555307,0.9975211,0.00002024273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006590029,0.0002340132,0.002671833,0.0005416939,0.0002552285,0.0001978301,0.5474519,0.123506,0.3244824],"genre_scores_gemma":[0.003374246,0.0004430064,0.003685117,0.0003795205,0.0001289179,0.0002461972,0.4492315,0.08927423,0.4532372],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1766697,"threshold_uncertainty_score":0.2519978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009600218141839359,"score_gpt":0.1916911812949103,"score_spread":0.1820909631530709,"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."}}