{"id":"W6998719401","doi":"","title":"ARCHIVEIT-279-WEEKLY-VSPATX-20110830135411-00000-crawling201.us.archive.org-6680.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":[0.001146799,0.002773755,0.001273485,0.006978534,0.001961203,0.005283706,0.002529513,0.001929578,0.7366155],"category_scores_gemma":[0.009035338,0.002250884,0.0009604009,0.008653536,0.0006285398,0.004198751,0.003994841,0.001433738,0.8546275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002703159,"about_ca_system_score_gemma":0.001960556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05142115,"about_ca_topic_score_gemma":0.06369418,"domain_scores_codex":[0.999081,0.00008550401,0.00006476959,0.0001916064,0.0004102776,0.0001667945],"domain_scores_gemma":[0.9938777,0.0007947078,0.000247142,0.00223331,0.00200672,0.0008404733],"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":[0.00002560787,0.00001090509,0.0001599038,0.0000880559,0.000004288149,0.000007766612,0.00003579176,0.0000379727,0.0001164172,0.0003439869,0.9904558,0.008713608],"study_design_scores_gemma":[0.00004009621,0.000009253085,0.001634436,0.00006195764,0.000005297388,0.000035519,0.00004230749,0.0002316965,0.0009665075,0.0003235787,0.9966247,0.00002469144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006749298,0.0002168427,0.002922409,0.0004656672,0.0002128669,0.0001928258,0.6496634,0.1568724,0.1887787],"genre_scores_gemma":[0.00325068,0.0003948194,0.004236317,0.0003276902,0.0001109187,0.0002614866,0.628241,0.1008638,0.2623132],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2633845,"threshold_uncertainty_score":0.375686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009380838679421563,"score_gpt":0.1910734393246609,"score_spread":0.1816926006452393,"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."}}