{"id":"W7052211871","doi":"","title":"The Press Gallery #27: The Promises, promises edition","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Throne; Government (linguistics); Session (web analytics); Swift; Period (music)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000189833,0.0002677759,0.0002193955,0.00002241783,0.0001434223,0.0001165975,0.0004645264,0.0002366621,0.01690827],"category_scores_gemma":[0.0001293296,0.0001798952,0.0001011436,0.000006253581,0.0001355198,1.861612e-7,0.00005409982,0.0002700452,0.004954448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002733343,"about_ca_system_score_gemma":0.00001521442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003144119,"about_ca_topic_score_gemma":0.0006321758,"domain_scores_codex":[0.9988583,0.00003659073,0.0004381894,0.0001197926,0.000293845,0.0002533197],"domain_scores_gemma":[0.998745,0.0003762113,0.0002524756,0.000475646,0.00008339027,0.00006723284],"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":[0.000007437628,0.00001371428,1.919895e-7,0.0002571086,0.00005641095,8.28688e-7,0.00002591986,0.003282099,3.438596e-7,0.0001714124,0.9949329,0.001251557],"study_design_scores_gemma":[0.0001868805,0.00002259827,0.0000048383,0.0001388723,0.00005634884,0.00001102607,0.00002472113,0.0006505717,0.0000461559,0.00002615096,0.9986171,0.0002148089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002394653,0.0004030511,0.000003403213,0.0003284322,0.0005115617,0.0008058635,0.0001834568,0.0002942339,0.9974461],"genre_scores_gemma":[0.0007664188,0.001998392,0.0002178523,0.0000729551,0.0004577908,0.0002005351,0.0001638395,0.0001304321,0.9959918],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01195382,"threshold_uncertainty_score":0.9958203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004605525323789435,"score_gpt":0.1644540848303311,"score_spread":0.1598485595065416,"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."}}