{"id":"W7017252431","doi":"","title":"ARCHIVEIT-2402-DAILY-MCQIQR-20120423200324-00029-crawling200.us.archive.org-6680.warc.gz","year":2012,"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; Field (mathematics); Natural (archaeology); Work (physics)","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":[0.0008827969,0.002509132,0.001503579,0.007485911,0.001669291,0.005337385,0.002369391,0.001685826,0.7826402],"category_scores_gemma":[0.008752807,0.001873034,0.001052719,0.01214419,0.000541495,0.003324664,0.003355297,0.001497577,0.8984228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817663,"about_ca_system_score_gemma":0.001886044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05215134,"about_ca_topic_score_gemma":0.05153418,"domain_scores_codex":[0.9991731,0.00007617242,0.00005629805,0.0001720757,0.0003755447,0.0001466718],"domain_scores_gemma":[0.9952938,0.0006847403,0.0001730555,0.001284372,0.002006887,0.0005570643],"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":[0.00001608833,0.000007223045,0.00009758796,0.00008242171,0.000003539709,0.000004971907,0.00002403678,0.00002593336,0.00004811376,0.0002128996,0.9928295,0.006647658],"study_design_scores_gemma":[0.00003108844,0.000005251044,0.001027358,0.00006858964,0.000004443135,0.00001908174,0.00003474326,0.0001144242,0.0003881116,0.0004233567,0.997866,0.00001760327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003040621,0.0001541668,0.001221184,0.0002805195,0.0001181747,0.00008628013,0.8279759,0.05724088,0.1126189],"genre_scores_gemma":[0.001946033,0.0003599142,0.00276692,0.0002614103,0.00007581306,0.0002063759,0.7648847,0.05536423,0.1741346],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2173598,"threshold_uncertainty_score":0.3100374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007681735323116661,"score_gpt":0.1953567259699798,"score_spread":0.1876749906468632,"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."}}