{"id":"W7045236142","doi":"","title":"ARCHIVEIT-2402-WEEKLY-VZRRZM-20110721172114-00001-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; 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":[0.0008066929,0.001769549,0.001169533,0.005879547,0.001726106,0.005522329,0.002121708,0.001469091,0.8953384],"category_scores_gemma":[0.006465171,0.001429715,0.0008394083,0.0106949,0.0004922837,0.003026908,0.003076493,0.001395083,0.9439534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171365,"about_ca_system_score_gemma":0.00187272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04729742,"about_ca_topic_score_gemma":0.05211655,"domain_scores_codex":[0.9993837,0.0000524683,0.00003877265,0.0001053039,0.0002983073,0.0001214263],"domain_scores_gemma":[0.9960323,0.0005268502,0.0001594444,0.0009590653,0.001706103,0.0006161982],"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":[0.0000144608,0.000009034529,0.00009045992,0.00006118356,0.000001922532,0.00000471751,0.00002046531,0.000022313,0.0000405873,0.0003111116,0.9887716,0.01065214],"study_design_scores_gemma":[0.00001563504,0.000003620999,0.0006484957,0.00005224381,0.000002215857,0.00001114333,0.00002623313,0.00005093537,0.0002165351,0.000263688,0.9986995,0.000009735452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003751219,0.0001848567,0.001280211,0.0004067252,0.0001953483,0.0001111489,0.5296531,0.03723056,0.4305628],"genre_scores_gemma":[0.001984955,0.0004114956,0.001813198,0.0003021375,0.00008265221,0.0001890664,0.334387,0.03321274,0.6276167],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1046616,"threshold_uncertainty_score":0.149287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009541263628275384,"score_gpt":0.1919470612086302,"score_spread":0.1824057975803548,"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."}}