{"id":"W7008064299","doi":"","title":"ARCHIVEIT-227-QUARTERLY-INYQSF-20120803170204-00000-crawling105.us.archive.org-6681.warc.gz","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Electoral Systems and Political Participation","field":"Social Sciences","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":[0.001136818,0.00195119,0.001110895,0.009954889,0.002006487,0.005687441,0.001664822,0.001230666,0.8476224],"category_scores_gemma":[0.01001145,0.001295937,0.0009075463,0.01562833,0.0005924976,0.003038582,0.003154093,0.001331826,0.8916943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002781991,"about_ca_system_score_gemma":0.003151895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09030864,"about_ca_topic_score_gemma":0.07255005,"domain_scores_codex":[0.9991252,0.00008009565,0.00006828441,0.0001386711,0.0004243658,0.0001634249],"domain_scores_gemma":[0.9932588,0.0009646941,0.0002900988,0.001237801,0.003485657,0.0007629946],"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":[0.00001140331,0.000007649177,0.0001556212,0.00006920451,0.000001869071,0.000004927671,0.00003033802,0.00001415149,0.00002943363,0.0002574221,0.9895795,0.009838562],"study_design_scores_gemma":[0.00001586838,0.000003844536,0.001688607,0.00007729205,0.000002773254,0.00001232029,0.00004677059,0.00004754951,0.0002192066,0.0002494359,0.9976254,0.00001088128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004174007,0.0001653723,0.0007818746,0.0004560982,0.0001893971,0.0001022111,0.7695251,0.01821146,0.2101512],"genre_scores_gemma":[0.002173302,0.0004614322,0.001692202,0.0002557246,0.0001242398,0.0002591048,0.5840245,0.01907201,0.3919375],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1523776,"threshold_uncertainty_score":0.2173481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244140085651278,"score_gpt":0.2414121273452864,"score_spread":0.2289707264887736,"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."}}