{"id":"W7026882000","doi":"","title":"ARCHIVEIT-1830-NONE-EUUCED-20111213161858-00000-crawling208.us.archive.org-6682.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":[0.001041379,0.00254781,0.001326903,0.007466652,0.002097256,0.005842309,0.002466351,0.001754041,0.7466825],"category_scores_gemma":[0.008166666,0.00189824,0.0008905368,0.009289945,0.0006569045,0.003496291,0.003895971,0.001352234,0.8708131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002800044,"about_ca_system_score_gemma":0.002732487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08226361,"about_ca_topic_score_gemma":0.09982755,"domain_scores_codex":[0.9990203,0.00007185372,0.00005505644,0.0001889309,0.0004773041,0.0001865397],"domain_scores_gemma":[0.993992,0.0007009919,0.0002015981,0.001848927,0.002381446,0.0008750045],"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":[0.00002679714,0.00001216186,0.0001491462,0.00009163374,0.000004077416,0.000008303922,0.00003629246,0.00003789103,0.0001357059,0.0004044669,0.9866521,0.01244142],"study_design_scores_gemma":[0.00002506544,0.000007170453,0.001096949,0.00006049046,0.000004027203,0.00003043624,0.00004075244,0.0001489828,0.0007066145,0.0003564757,0.9975019,0.0000211139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006520695,0.0002783359,0.003265119,0.0004594136,0.0002598553,0.0002045314,0.5635297,0.1477565,0.2835945],"genre_scores_gemma":[0.002623895,0.000407554,0.00480026,0.0003414649,0.00008883195,0.000201412,0.5531769,0.08525062,0.353109],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2533175,"threshold_uncertainty_score":0.3613266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009467960647328848,"score_gpt":0.194035856087363,"score_spread":0.1845678954400342,"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."}}