{"id":"W6989411719","doi":"","title":"ARCHIVEIT-2402-DAILY-UTFLQQ-20120416193227-00031-crawling207.us.archive.org-6682.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":[0.0007658245,0.002483133,0.001356771,0.00739048,0.001748422,0.005263221,0.002112167,0.001569137,0.8186035],"category_scores_gemma":[0.006474145,0.001593877,0.0009688233,0.01127815,0.0005246646,0.003152467,0.003100429,0.001440047,0.9087131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002062561,"about_ca_system_score_gemma":0.001785157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0499477,"about_ca_topic_score_gemma":0.05188326,"domain_scores_codex":[0.9993097,0.00005991201,0.00004405904,0.0001430356,0.0003051699,0.0001381029],"domain_scores_gemma":[0.996389,0.0005078916,0.0001372535,0.000933525,0.001561424,0.0004708109],"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":[0.00001574663,0.000007544086,0.00009591257,0.00007130302,0.000002754688,0.000005387424,0.00002358598,0.00002645117,0.00005327206,0.0002314423,0.9911982,0.008268331],"study_design_scores_gemma":[0.00002457829,0.000005162488,0.00100907,0.00006612895,0.000003555914,0.00001827369,0.00003221301,0.0001058999,0.0003554456,0.0004036863,0.9979607,0.0000153438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003537392,0.0001627579,0.001179695,0.0002976828,0.0001145613,0.00008468453,0.7969387,0.04931019,0.151558],"genre_scores_gemma":[0.002089659,0.0003647504,0.002431285,0.0002814702,0.00007494253,0.0001944913,0.7070034,0.04536112,0.2421989],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1813965,"threshold_uncertainty_score":0.2587402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007731626468876272,"score_gpt":0.1961233811776802,"score_spread":0.188391754708804,"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."}}