{"id":"W7026760675","doi":"","title":"ARCHIVEIT-3490-DAILY-QHXKQA-20130115054730-00000-wbgrp-crawl066.us.archive.org-6680.warc.gz","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Biographical and Historical Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001906725,0.0007624601,0.00103602,0.000423897,0.0003709983,0.0002407542,0.0008236403,0.0004696453,0.8465514],"category_scores_gemma":[0.0000603977,0.0006398601,0.0008176134,0.00001940653,0.001076856,0.000001156395,0.0002318451,0.0007659304,0.08052294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005941555,"about_ca_system_score_gemma":0.00004112383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04871778,"about_ca_topic_score_gemma":0.01497638,"domain_scores_codex":[0.996635,0.0001549658,0.001198978,0.0004946351,0.0008168131,0.0006996742],"domain_scores_gemma":[0.9975933,0.0001826723,0.0009190466,0.0006834985,0.0002357308,0.0003857698],"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":[0.0000646097,0.0001646812,0.000009198333,0.0005924026,0.0003369405,0.00001540169,0.001170385,0.000007586206,6.787317e-7,0.003675629,0.9916298,0.002332659],"study_design_scores_gemma":[0.0004973718,0.0002396382,0.00002303792,0.0002468339,0.0002696259,0.00001386366,0.0002475156,0.00002297467,0.000001711499,0.00024011,0.9974,0.0007972966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003884705,0.0007120856,0.000001803771,0.0005090061,0.0006922397,0.0005558694,0.0007794086,0.0004054585,0.9963053],"genre_scores_gemma":[0.0006275408,0.0009467162,0.0003866822,0.0009056695,0.0012275,0.00006485073,0.0007415156,0.0002127414,0.9948868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7660285,"threshold_uncertainty_score":0.9996053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007218837603490842,"score_gpt":0.1604234181768238,"score_spread":0.1532045805733329,"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."}}