{"id":"W3206948480","doi":"10.1089/elj.2020.0634","title":"Registration Innovation: The Impact of Online Registration and Automatic Voter Registration in the United States","year":2021,"lang":"en","type":"article","venue":"Election Law Journal Rules Politics and Policy","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Voter registration; Voting; Turnout; Political science; Tracking (education); Majority rule; Psychology; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01052486,0.0001158133,0.0003284665,0.001414565,0.00118084,0.002032857,0.0006420368,0.0007639723,0.004473414],"category_scores_gemma":[0.03373131,0.0001495894,0.0006154352,0.002261743,0.001676381,0.002426765,0.002916192,0.001702117,0.0004541832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158848,"about_ca_system_score_gemma":0.001674257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02642354,"about_ca_topic_score_gemma":0.04364452,"domain_scores_codex":[0.9921027,0.004369467,0.0005409688,0.0008179224,0.00129694,0.0008720454],"domain_scores_gemma":[0.9627677,0.01501728,0.01543562,0.002177809,0.002443166,0.002158445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002912515,0.0006180984,0.9408789,0.00004537001,0.00008958973,0.00006469031,0.002848002,0.0009415101,0.0002004226,0.003649665,0.001469575,0.04890302],"study_design_scores_gemma":[0.00001698393,0.0003654842,0.9896305,0.00003865851,0.00005890295,0.00003632531,0.003317869,0.001411355,0.0003017095,0.0008365869,0.003969076,0.00001642264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855853,0.0002906783,0.0005169039,0.001859906,0.00003072707,0.00003729848,0.0002169219,0.00001841332,0.01144389],"genre_scores_gemma":[0.9985409,0.00009132512,0.000141643,0.0001737306,0.00003019909,0.00001300769,0.0001370522,0.00000390326,0.0008682436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02642354,"threshold_uncertainty_score":0.05566144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729043625515675,"score_gpt":0.3950339157006187,"score_spread":0.3477434794454619,"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."}}