{"id":"W7033282168","doi":"","title":"Press Gallery #129: The Voice Mode edition","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slumping; Government (linguistics); Mode (computer interface); Lift (data mining)","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":[0.0004045526,0.001028826,0.0005959416,0.0017793,0.00147826,0.00601802,0.000889273,0.001284057,0.8771],"category_scores_gemma":[0.002459411,0.0005238071,0.0004388209,0.002654151,0.0004778848,0.003325796,0.001599699,0.00166114,0.850596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009509859,"about_ca_system_score_gemma":0.00147474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009993986,"about_ca_topic_score_gemma":0.02199813,"domain_scores_codex":[0.9996351,0.00002743483,0.00001714498,0.00004177754,0.0002222025,0.00005621113],"domain_scores_gemma":[0.9986356,0.0001714592,0.00005180738,0.0002198294,0.000604616,0.0003167126],"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":[0.000007545241,0.000005905132,0.00002355781,0.00002789572,5.066903e-7,0.00001412411,0.00001647484,0.00000997996,0.00009645591,0.000546029,0.9850894,0.01416204],"study_design_scores_gemma":[0.000002783053,0.000003685969,0.0002214216,0.00002882348,5.237067e-7,0.00001525216,0.00002900555,0.00001296646,0.00005243219,0.0001819092,0.9994486,0.00000262552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001255324,0.0003520946,0.0002727469,0.0007851999,0.00146202,0.00003854424,0.004804795,0.001606874,0.9905522],"genre_scores_gemma":[0.0003245893,0.0001586128,0.00005209014,0.00016238,0.000164853,0.00001103729,0.001136945,0.000445197,0.9975442],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1229,"threshold_uncertainty_score":0.1753018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004731067734780395,"score_gpt":0.1766517023969916,"score_spread":0.1719206346622112,"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."}}