{"id":"W6979990814","doi":"","title":"ARCHIVEIT-1830-NONE-DVOEUM-20111203225103-00002-crawling206.us.archive.org-6683.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":[0.001036159,0.002451237,0.001300278,0.006862452,0.002001048,0.005691895,0.002551286,0.001855063,0.7315756],"category_scores_gemma":[0.008549455,0.001927897,0.0008677069,0.008532552,0.0006100092,0.003553863,0.003741501,0.00131865,0.8627051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002687129,"about_ca_system_score_gemma":0.002421778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06501853,"about_ca_topic_score_gemma":0.08093402,"domain_scores_codex":[0.9990342,0.00007379689,0.00005730167,0.0001797097,0.0004734941,0.0001815543],"domain_scores_gemma":[0.9938833,0.0007549165,0.0002107545,0.001942459,0.002342972,0.0008656678],"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":[0.000028806,0.00001264972,0.000154293,0.00009225572,0.000004058556,0.000008681601,0.00003367076,0.00003900166,0.0001348581,0.0004065874,0.9865707,0.01251457],"study_design_scores_gemma":[0.00003065755,0.000008402195,0.001160885,0.00006075939,0.000004131157,0.00003510992,0.00003943879,0.0001735153,0.0007831915,0.0003582646,0.9973236,0.00002200188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007279387,0.0002751988,0.003563965,0.0005070578,0.0002724821,0.0002261528,0.5324361,0.1691474,0.2928437],"genre_scores_gemma":[0.003047334,0.000413438,0.005138427,0.0003920516,0.0001083755,0.0002276933,0.542501,0.1004877,0.3476839],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2684244,"threshold_uncertainty_score":0.3828748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009401971598390341,"score_gpt":0.1925857225342893,"score_spread":0.183183750935899,"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."}}