{"id":"W4394224914","doi":"10.6084/m9.figshare.10120685.v2","title":"The Twitter Parliamentarian Database","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Social Media and Politics","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Computer science; Information retrieval; World Wide Web","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":[0.00008292036,0.0001389752,0.0001459299,0.00001939527,0.0009497914,0.000349972,0.0006820954,0.0002567298,0.3376755],"category_scores_gemma":[0.004652942,0.0001102088,0.00009488554,0.0001466866,0.00005054665,0.00006072625,0.0001909407,0.0004033666,0.007033687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115248,"about_ca_system_score_gemma":0.0008923218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004464857,"about_ca_topic_score_gemma":0.01500892,"domain_scores_codex":[0.9984671,0.000258962,0.0001467725,0.0002023031,0.000484925,0.0004399135],"domain_scores_gemma":[0.9982331,0.0009017049,0.0001075422,0.0004803434,0.00009993958,0.0001773029],"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":[6.283763e-7,0.000009086158,0.00000154761,0.00003361241,0.00001732247,0.00003863435,0.0005266691,5.417674e-9,4.437901e-8,0.00001079488,0.9991697,0.0001919424],"study_design_scores_gemma":[0.00004348753,0.00000365631,0.000004420673,0.000458966,0.00002080675,3.996689e-7,0.003901636,4.103568e-8,0.000003402777,0.0000360094,0.9953805,0.0001467329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.202379e-7,0.0005800637,5.11224e-9,0.001450085,0.001225422,0.0001906647,0.9952756,0.00002228501,0.001255056],"genre_scores_gemma":[0.000001647843,0.0002144975,0.000003109542,0.002113385,0.003812201,0.0001896508,0.9923888,0.00001045528,0.001266204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3306418,"threshold_uncertainty_score":0.9937394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09719915872497303,"score_gpt":0.3655109920542136,"score_spread":0.2683118333292406,"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."}}