{"id":"W6980009268","doi":"","title":"ARCHIVEIT-3490-DAILY-ZPYPJH-20130123054709-00000-wbgrp-crawl052.us.archive.org-6681.warc.gz","year":2013,"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); 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":[0.0009913301,0.002074786,0.001277845,0.0068506,0.002209121,0.007007869,0.002822442,0.001467516,0.8780604],"category_scores_gemma":[0.007641516,0.001765365,0.0009800489,0.01088485,0.0007598678,0.003839669,0.003829293,0.001560416,0.9354087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003182895,"about_ca_system_score_gemma":0.002661453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08647736,"about_ca_topic_score_gemma":0.08209209,"domain_scores_codex":[0.9991855,0.0000638819,0.00004825224,0.0001425105,0.0004091884,0.0001507225],"domain_scores_gemma":[0.994558,0.0006151251,0.0001942905,0.001431517,0.002447419,0.0007536473],"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":[0.00002405763,0.000009828149,0.0001235775,0.00008098896,0.000003049826,0.000007138882,0.00004800945,0.00002668365,0.00007041732,0.0004507474,0.9862295,0.01292598],"study_design_scores_gemma":[0.00001462666,0.000003299195,0.0006984036,0.00004740646,0.000002657402,0.00001414055,0.00003746031,0.00003471077,0.0002903189,0.000241146,0.9986028,0.00001295373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003935703,0.0002210205,0.001910976,0.0003851504,0.0002883963,0.000122955,0.4994757,0.05878666,0.4384154],"genre_scores_gemma":[0.002216349,0.0004268427,0.002479578,0.0003319143,0.0001203218,0.0001808857,0.3060757,0.06606746,0.6221009],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1219396,"threshold_uncertainty_score":0.1739321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006241312730742916,"score_gpt":0.187714358232229,"score_spread":0.1814730455014861,"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."}}