{"id":"W2182806550","doi":"10.1089/elj.2008.0028","title":"Regulating Canadian Elections in the Digital Age: Approaches and Concerns","year":2009,"lang":"en","type":"article","venue":"Election Law Journal Rules Politics and Policy","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University","funders":"","keywords":"Politics; Political science; Download; Law; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00037026,0.00007072986,0.00007921079,0.0001196286,0.002025797,0.0008022737,0.0000822928,0.00005712526,0.000004661337],"category_scores_gemma":[0.0001902395,0.00005712509,0.00002660617,0.0002024106,0.0002239693,0.000267267,0.000005075982,0.0002506946,0.000001442522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808223,"about_ca_system_score_gemma":0.0002824315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.40531,"about_ca_topic_score_gemma":0.5222054,"domain_scores_codex":[0.9991384,0.00009429493,0.000142533,0.00008771149,0.0001460002,0.0003911119],"domain_scores_gemma":[0.9995409,0.00008741031,0.0000452928,0.00004658916,0.00003387263,0.0002458864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001508336,0.000007866758,0.0003762712,0.000001463482,0.000002590032,0.000005454018,0.005455653,0.00000282477,0.000003713987,0.9818118,0.0002388851,0.01209202],"study_design_scores_gemma":[0.0002001742,0.000204128,0.02204835,0.00004132971,0.00001889931,0.0005917347,0.01039538,0.00007541858,0.00001615299,0.3906559,0.5755494,0.0002031502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5430442,0.0004236024,0.0000235063,0.06211922,0.00009530337,0.0001298687,0.00001031916,0.00001822009,0.3941357],"genre_scores_gemma":[0.9969282,0.0001962231,0.00003285496,0.001274881,0.001059975,0.000001173493,0.000001365685,0.000003545816,0.00050181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5911558,"threshold_uncertainty_score":0.9992734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05895455357080293,"score_gpt":0.3371367332390621,"score_spread":0.2781821796682591,"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."}}