{"id":"W7028515743","doi":"","title":"Gormley - Marc Briere - Thursday, March 23rd, 2023","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Public Administration and Political Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Revenue; Tax revenue; Studio; Economic impact analysis","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":[],"category_scores_codex":[0.0004357566,0.0004944592,0.0003764433,0.0006312248,0.002084719,0.003019162,0.0005006383,0.001586461,0.685814],"category_scores_gemma":[0.001627292,0.0002684713,0.0002310315,0.0007173264,0.0003016643,0.001309455,0.001321738,0.001713856,0.4368401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117782,"about_ca_system_score_gemma":0.001170881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02454514,"about_ca_topic_score_gemma":0.1162547,"domain_scores_codex":[0.9997668,0.00001784378,0.000007573349,0.00004293419,0.0001044735,0.00006030747],"domain_scores_gemma":[0.9994746,0.00004702274,0.00002669955,0.0000350206,0.0001890695,0.0002276522],"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":[0.00001380287,0.000006935437,0.00007792091,0.00001351857,3.577038e-7,0.00002606012,0.0000152469,0.000005677759,0.00003790188,0.0003458478,0.9932033,0.006253384],"study_design_scores_gemma":[0.000003774533,0.000007818546,0.0008954476,0.00002731862,5.141534e-7,0.00002017534,0.00006701509,0.00001720323,0.00005036551,0.00009839474,0.9988098,0.000002089542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001638303,0.001701804,0.0002188901,0.0104963,0.005496133,0.0001488121,0.009541093,0.0008299946,0.9699287],"genre_scores_gemma":[0.0009855294,0.0001859693,0.00003296998,0.0003380486,0.0001143837,0.00001056213,0.0004681224,0.00006423717,0.9978002],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.685814,"threshold_uncertainty_score":0.4481481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203095024053926,"score_gpt":0.2451789763453072,"score_spread":0.233148026104768,"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."}}