{"id":"W7026741461","doi":"","title":"ARCHIVEIT-279-WEEKLY-NTPGNA-20111129142603-00000-crawling210.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":"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":[0.0009913717,0.002247415,0.001194843,0.005976188,0.002159587,0.005728408,0.002486404,0.001790672,0.8029351],"category_scores_gemma":[0.007966342,0.001932037,0.0008865559,0.008091028,0.0006308868,0.004147799,0.004040804,0.001387879,0.8954442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002992958,"about_ca_system_score_gemma":0.002082394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05685471,"about_ca_topic_score_gemma":0.07118193,"domain_scores_codex":[0.9991578,0.00007932607,0.00005678507,0.0001683557,0.0003892847,0.000148476],"domain_scores_gemma":[0.9944593,0.0006410686,0.0002286572,0.001915937,0.001862225,0.0008927447],"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":[0.00002286762,0.00001026324,0.0001449153,0.000078588,0.000003054318,0.000008351129,0.00003820792,0.00003305633,0.00009479992,0.0003829965,0.9887122,0.0104707],"study_design_scores_gemma":[0.00002415191,0.000005987243,0.001063071,0.00005051276,0.000003310363,0.00002783933,0.0000356888,0.0001492241,0.0005831529,0.0002570045,0.9977818,0.00001814288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006349357,0.0002124135,0.002890681,0.0005238552,0.000256941,0.0002069664,0.5595298,0.1120198,0.3237246],"genre_scores_gemma":[0.00349003,0.0004154543,0.003861394,0.0003737946,0.0001255288,0.000273714,0.4591363,0.08199415,0.4503297],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1970649,"threshold_uncertainty_score":0.2810892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009362145591182083,"score_gpt":0.1917203986301974,"score_spread":0.1823582530390153,"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."}}