{"id":"W7002717354","doi":"","title":"MFJ - Oct 8, 2019","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heading (navigation); Apex (geometry); 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":[0.0005011772,0.0005038826,0.0003495671,0.001022291,0.002444573,0.004770935,0.0005804678,0.002289727,0.6839659],"category_scores_gemma":[0.002279159,0.0003093191,0.0003085283,0.0008232939,0.0003937854,0.002021866,0.001549072,0.002545945,0.6250709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811801,"about_ca_system_score_gemma":0.001512551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086758,"about_ca_topic_score_gemma":0.09682226,"domain_scores_codex":[0.9995957,0.00002373835,0.00001206121,0.00005149782,0.0002071182,0.0001099656],"domain_scores_gemma":[0.9992921,0.0000517394,0.000027686,0.00004548788,0.0003460693,0.0002368917],"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":[0.00001415233,0.000009052498,0.00006395557,0.00001593663,5.70902e-7,0.00001476341,0.000009209667,0.000008057534,0.00004063813,0.001188802,0.9913061,0.007328745],"study_design_scores_gemma":[0.000005250575,0.000006586771,0.000624796,0.00003038787,6.332813e-7,0.00001130944,0.00002791078,0.00002002577,0.00003950608,0.0003218894,0.998909,0.000002817427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004275976,0.0003892356,0.0001156894,0.00309824,0.00309855,0.0000523326,0.006728855,0.0004900832,0.9855995],"genre_scores_gemma":[0.0008031213,0.00007544032,0.00002753258,0.0008780583,0.0002000693,0.00001263061,0.001078983,0.00008355071,0.9968406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3160341,"threshold_uncertainty_score":0.4507842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040654387448085,"score_gpt":0.1643669017436924,"score_spread":0.1539603578692116,"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."}}