{"id":"W6998748409","doi":"","title":"ARCHIVEIT-227-QUARTERLY-REUTQQ-20111106152711-00055-crawling206.us.archive.org-6680.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":"Politics; Work (physics); Natural (archaeology); Government (linguistics)","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":[0.001018711,0.002153737,0.001198003,0.008888847,0.002272961,0.00660232,0.00193778,0.001502547,0.865214],"category_scores_gemma":[0.008807644,0.001649418,0.0009313492,0.01467969,0.0006297961,0.003575694,0.003316725,0.001514248,0.9295682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003052781,"about_ca_system_score_gemma":0.002746278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07234654,"about_ca_topic_score_gemma":0.06649422,"domain_scores_codex":[0.9990216,0.00009067993,0.00006766954,0.0001552141,0.0004810088,0.0001838465],"domain_scores_gemma":[0.9939888,0.0007543669,0.0002782334,0.001321697,0.002947649,0.0007093734],"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":[0.00001216684,0.000006958308,0.00009746983,0.00006323469,0.000001824412,0.000004773799,0.00002339108,0.00001420389,0.00003367311,0.0002804136,0.991291,0.008170874],"study_design_scores_gemma":[0.00001333513,0.000003448026,0.0008687711,0.00005974801,0.000002429465,0.00001268196,0.00003534592,0.0000401877,0.0002256555,0.0002013738,0.9985254,0.00001162539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003575334,0.0002110694,0.0009185891,0.0004756313,0.0002084755,0.0001193779,0.6699726,0.02774594,0.2999908],"genre_scores_gemma":[0.002019392,0.0005517844,0.001711188,0.0003449321,0.0001238588,0.0002351065,0.4660559,0.02972176,0.4992361],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.134786,"threshold_uncertainty_score":0.1922558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008290435834014578,"score_gpt":0.1905434952790473,"score_spread":0.1822530594450328,"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."}}