{"id":"W4398979657","doi":"10.7910/dvn/rjmvk1","title":"Replication files for 'Do incumbents gain from calling a snap election?'","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Replication (statistics); Snap; Computer science; Biology; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00298168,0.001274066,0.001268803,0.002959989,0.001321364,0.002621281,0.002684213,0.002266714,0.3020092],"category_scores_gemma":[0.02004068,0.0007829395,0.001288438,0.005380013,0.0006162484,0.001376361,0.001898879,0.002001237,0.1490149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923435,"about_ca_system_score_gemma":0.003939413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04217882,"about_ca_topic_score_gemma":0.08990642,"domain_scores_codex":[0.9985735,0.000257919,0.0002563513,0.000344789,0.000294849,0.0002724581],"domain_scores_gemma":[0.9904811,0.003424486,0.001014072,0.002280501,0.002194047,0.0006058313],"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":[0.00008668438,0.00002658809,0.001199936,0.000455026,0.00001643905,0.00002288155,0.00003972502,0.0000890083,0.0000398277,0.0004188967,0.9959393,0.001665632],"study_design_scores_gemma":[0.001543466,0.0000450695,0.01354554,0.000541636,0.00004131528,0.00006609314,0.0002873034,0.0003656072,0.0002354556,0.00148517,0.9817985,0.00004489705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001300413,0.00001651853,0.00003557915,0.00008894069,0.00003100485,0.00003036004,0.9989913,0.0001054581,0.0005707765],"genre_scores_gemma":[0.001115202,0.0000433469,0.0003758545,0.00009527469,0.00002626358,0.0005429055,0.9952106,0.00008545411,0.002505175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3020092,"threshold_uncertainty_score":0.9955992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285313674513154,"score_gpt":0.3234369159018545,"score_spread":0.290583779156723,"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."}}