{"id":"W6989365317","doi":"","title":"ARCHIVEIT-1830-NONE-GREGYM-20111208180103-00000-crawling204.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":"Identification (biology); Work (physics); Process (computing)","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":[0.001037801,0.002591991,0.001330117,0.006969961,0.002088207,0.00576038,0.002579569,0.001709989,0.7129484],"category_scores_gemma":[0.008246598,0.001923276,0.0008523875,0.009097787,0.0006586692,0.003695375,0.003831744,0.001358639,0.8567201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002625911,"about_ca_system_score_gemma":0.002643464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07776364,"about_ca_topic_score_gemma":0.09744088,"domain_scores_codex":[0.9990983,0.00006605688,0.00005183391,0.0001751034,0.0004351267,0.0001736605],"domain_scores_gemma":[0.9938917,0.0007246202,0.0002184016,0.001887738,0.002382412,0.0008951326],"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":[0.00002799279,0.00001106522,0.0001736628,0.00009659489,0.000004166466,0.000008874096,0.00003928193,0.00003708435,0.0001332315,0.0004144619,0.9876627,0.0113909],"study_design_scores_gemma":[0.0000276411,0.000007052538,0.001236346,0.00006183126,0.000004287428,0.00003264278,0.00004311284,0.0001486773,0.0007153891,0.0003596192,0.9973415,0.00002182834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006880587,0.0002831001,0.003328191,0.000476553,0.0002642673,0.0002036745,0.5685346,0.1567593,0.2694622],"genre_scores_gemma":[0.002823586,0.0004231156,0.004914519,0.0003611831,0.0001026334,0.0002139886,0.5601698,0.1030513,0.3279399],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2870516,"threshold_uncertainty_score":0.4094442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009534083556872302,"score_gpt":0.19311123307275,"score_spread":0.1835771495158777,"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."}}