{"id":"W4398364999","doi":"10.7910/dvn/dmego0","title":"GND Endorsements and Vote Share","year":2022,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business; Advertising","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":[],"consensus_categories":[],"category_scores_codex":[0.001437797,0.0007824607,0.0008250052,0.003773041,0.0007874899,0.002471677,0.001407674,0.001142316,0.02806424],"category_scores_gemma":[0.01171891,0.0003812632,0.0006786327,0.007979683,0.000430702,0.001081435,0.001693249,0.001794396,0.02571042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254103,"about_ca_system_score_gemma":0.0008532476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0386859,"about_ca_topic_score_gemma":0.05996675,"domain_scores_codex":[0.9981037,0.0003727853,0.0002249868,0.0004709155,0.0005519692,0.0002755887],"domain_scores_gemma":[0.9950272,0.001395333,0.001331162,0.0006313655,0.001310963,0.0003040273],"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":[0.0002212627,0.00009933652,0.1123757,0.0005205591,0.0001109925,0.00007182404,0.0002878595,0.001120573,0.0001496512,0.002869985,0.8722513,0.00992099],"study_design_scores_gemma":[0.0003746732,0.00006016839,0.3134517,0.0003173655,0.00007690313,0.0002488211,0.001176556,0.002019909,0.0006310277,0.001537527,0.6800284,0.00007674707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01628537,0.0002791048,0.0001894998,0.0005124766,0.00007371283,0.00003652789,0.9750178,0.0002248429,0.007380688],"genre_scores_gemma":[0.02888246,0.0002199912,0.0004598037,0.000183964,0.00005640053,0.0002239231,0.9632084,0.00007559464,0.006689482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0386859,"threshold_uncertainty_score":0.09388429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550607459869576,"score_gpt":0.2214583304167556,"score_spread":0.1959522558180599,"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."}}