{"id":"W4320488497","doi":"10.2139/ssrn.4354261","title":"Cross-State Strategic Voting","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Voting; State (computer science); Business; Political science; Computer science; Politics; Law","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":[0.001587982,0.0001722148,0.0004844975,0.000726973,0.001527513,0.002664489,0.0004489984,0.0008255352,0.04261414],"category_scores_gemma":[0.004188735,0.0001888322,0.000516807,0.001014597,0.0004562796,0.001039773,0.001590576,0.000940847,0.003976555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009464641,"about_ca_system_score_gemma":0.00102671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003402662,"about_ca_topic_score_gemma":0.0123829,"domain_scores_codex":[0.9986065,0.000476206,0.00005414023,0.0002806481,0.0001569296,0.0004256096],"domain_scores_gemma":[0.9983631,0.0006002486,0.0001700781,0.0004198487,0.000272087,0.0001747312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001413605,0.0007121099,0.07202482,0.0002060292,0.0003555295,0.0003256007,0.002985748,0.0178659,0.003477302,0.7085505,0.01989563,0.1721872],"study_design_scores_gemma":[0.0003473156,0.001894041,0.2205097,0.0001825493,0.0006224333,0.0007011252,0.01311913,0.1294538,0.01250997,0.4797558,0.1407699,0.0001341781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6951333,0.0001421584,0.01071438,0.0008054613,0.00009231247,0.00008874556,0.0007709452,0.0001211574,0.2921315],"genre_scores_gemma":[0.9783287,0.00001912363,0.0005375352,0.00005099221,0.000007736659,0.00001685051,0.00017116,0.000007542807,0.02086043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04261414,"threshold_uncertainty_score":0.1425585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05643693530761399,"score_gpt":0.3854056448494005,"score_spread":0.3289687095417865,"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."}}