{"id":"W7026879662","doi":"","title":"ARCHIVEIT-1830-NONE-YSZIFL-20111119000021-00010-crawling115.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":[0.001078721,0.002968329,0.001409366,0.007872586,0.002028531,0.005554356,0.00258007,0.001936806,0.6880342],"category_scores_gemma":[0.008515783,0.00204731,0.0009589517,0.00924092,0.0006291643,0.003727318,0.00384048,0.001377674,0.8469452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002657628,"about_ca_system_score_gemma":0.00251595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07173857,"about_ca_topic_score_gemma":0.08431076,"domain_scores_codex":[0.998978,0.000077757,0.00006273313,0.0002047901,0.0004843111,0.0001923792],"domain_scores_gemma":[0.9940886,0.0007445702,0.000213279,0.001880967,0.002334974,0.0007375056],"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":[0.0000281763,0.00001139031,0.0001669686,0.0001012711,0.000004906249,0.000008481847,0.0000348771,0.00004083395,0.0001330173,0.0003784377,0.9889281,0.01016364],"study_design_scores_gemma":[0.00003371221,0.000008169372,0.001342243,0.00006859443,0.000005511651,0.00003658882,0.00004347878,0.0002101764,0.0009077242,0.0004056401,0.9969131,0.00002511535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006443422,0.0002605387,0.003110482,0.000434926,0.0002152233,0.0001793454,0.6539168,0.1539975,0.1872407],"genre_scores_gemma":[0.002454592,0.0003485724,0.004383634,0.0003049537,0.00007870734,0.0001976288,0.6916683,0.08112445,0.2194392],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3119658,"threshold_uncertainty_score":0.4449813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009372619444929736,"score_gpt":0.1925560341748136,"score_spread":0.1831834147298839,"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."}}