{"id":"W2581002507","doi":"10.1007/978-3-319-52240-1_10","title":"Internet Voting in Sub-national Elections: Policy Learning in Canada and Australia","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Social Media and Politics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Affairs Canada; University of Toronto","funders":"","keywords":"Computer science; Voting; The Internet; World Wide Web; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.004541697,0.0001468197,0.000545167,0.0008246361,0.007017635,0.004881946,0.001584913,0.00121583,0.008372211],"category_scores_gemma":[0.01673647,0.0002146258,0.0003170442,0.002451269,0.0028279,0.002461948,0.001847364,0.002627644,0.0006983165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03802717,"about_ca_system_score_gemma":0.05733383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9634008,"about_ca_topic_score_gemma":0.9809555,"domain_scores_codex":[0.9975222,0.0006886821,0.00004978336,0.0001840321,0.0005126065,0.001042592],"domain_scores_gemma":[0.9907065,0.00370842,0.0005006441,0.0002555205,0.00244163,0.002387279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008880857,0.001835843,0.3504168,0.0002484259,0.0001198266,0.0004645055,0.1074001,0.01204512,0.0004523489,0.1344772,0.08728912,0.3043626],"study_design_scores_gemma":[0.0001012369,0.0002612928,0.6228146,0.0002772605,0.00009228606,0.00007053497,0.1687375,0.01972605,0.0008991064,0.0320254,0.1548897,0.000105031],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9154297,0.001055572,0.0006887501,0.01231617,0.0001042195,0.0000622528,0.0002414068,0.00003308978,0.07006878],"genre_scores_gemma":[0.9684821,0.0004841528,0.0002878356,0.0002905766,0.00002212458,0.0000146493,0.0001502801,0.00001365417,0.0302545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03802717,"threshold_uncertainty_score":0.2759077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04556677558634716,"score_gpt":0.3263159229684968,"score_spread":0.2807491473821496,"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."}}