{"id":"W7035961827","doi":"","title":"ARCHIVEIT-2901-QUARTERLY-TROZBL-20120419010301-00009-crawling212.us.archive.org-6681.warc.gz","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Medical, Sociocultural, and Biopolitical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics); 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":[0.001352963,0.00181275,0.001115821,0.009487918,0.002151974,0.007096049,0.001870507,0.001371532,0.8928987],"category_scores_gemma":[0.009512516,0.001385506,0.0008155742,0.01467301,0.0007128369,0.003388972,0.003583722,0.001525669,0.944077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002552199,"about_ca_system_score_gemma":0.00264976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0448259,"about_ca_topic_score_gemma":0.04124808,"domain_scores_codex":[0.9990253,0.0001055104,0.0000762179,0.0001629282,0.0004780143,0.0001519772],"domain_scores_gemma":[0.9932832,0.0009589915,0.0003086442,0.001463304,0.003098623,0.0008872834],"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":[0.00001804189,0.0000144341,0.0001690013,0.00008818918,0.000002258463,0.000006686495,0.0000397427,0.00001663274,0.0000521793,0.0004481891,0.980359,0.01878575],"study_design_scores_gemma":[0.00001462007,0.000004181078,0.0009923342,0.00008102057,0.000002132246,0.00001561196,0.0000460495,0.0000350744,0.000207066,0.0002433098,0.9983492,0.000009397669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005316041,0.0002979043,0.001351444,0.0006666528,0.0003013604,0.0001528339,0.4839675,0.03160536,0.4811253],"genre_scores_gemma":[0.002300653,0.0006293064,0.001993727,0.0003527299,0.0001353194,0.0002356542,0.3050271,0.0239766,0.6653489],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1071013,"threshold_uncertainty_score":0.1527669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009922297451509004,"score_gpt":0.2279502795117733,"score_spread":0.2180279820602643,"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."}}