{"id":"W7038127585","doi":"","title":"Gormley - Franco Terrazzano - June 9th, 2023","year":2023,"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":"Government (linguistics); Joins; Public policy; Government spending","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":[0.0004931707,0.0006206973,0.0003742361,0.0009301379,0.002967558,0.003531776,0.0006473261,0.001822674,0.5982307],"category_scores_gemma":[0.002111455,0.0003446397,0.0002640991,0.0007544319,0.0003907929,0.001547511,0.001297312,0.002148682,0.4194534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002915412,"about_ca_system_score_gemma":0.004301559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1981747,"about_ca_topic_score_gemma":0.4618842,"domain_scores_codex":[0.9993715,0.00002332941,0.00001158199,0.00007150819,0.0003625778,0.0001596499],"domain_scores_gemma":[0.9987509,0.00005676909,0.00003257653,0.00005197188,0.0006813857,0.000426292],"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":[0.000006234834,0.000004626575,0.00004589527,0.000007809182,2.624059e-7,0.00001231301,0.000008530554,0.000006114294,0.00002496644,0.0005327472,0.9940352,0.005315371],"study_design_scores_gemma":[0.000002274903,0.000002541224,0.0002747663,0.00001442651,3.328976e-7,0.000008238781,0.00001798427,0.00001315809,0.00003527516,0.00008319501,0.9995454,0.00000236864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005157694,0.0007229414,0.0001787456,0.0057932,0.002407347,0.0001043788,0.006005728,0.0007492398,0.9835226],"genre_scores_gemma":[0.001051238,0.0001861823,0.00006733443,0.0007814816,0.0001048285,0.00001261776,0.0009001856,0.0001353101,0.9967608],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4017693,"threshold_uncertainty_score":0.5730751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007370042000691136,"score_gpt":0.196432039266311,"score_spread":0.1890619972656199,"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."}}