{"id":"W2069708965","doi":"10.1089/1533129041492123","title":"Redistricting: What the United States Can Learn from Canada","year":2004,"lang":"en","type":"article","venue":"Election Law Journal Rules Politics and Policy","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Redistricting; Politics; Election law; Political science; Download; Law; Public administration; Computer science; World Wide Web; Democracy","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":[0.00355269,0.0003270005,0.0007623695,0.002427215,0.01253952,0.01058704,0.001808628,0.003151725,0.01128406],"category_scores_gemma":[0.01682014,0.000235126,0.0004380784,0.006304149,0.008165246,0.004064588,0.001928044,0.005467081,0.0005098308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1033897,"about_ca_system_score_gemma":0.2000596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962922,"about_ca_topic_score_gemma":0.9983311,"domain_scores_codex":[0.9963827,0.000414358,0.00007225709,0.0002876186,0.001328848,0.001514233],"domain_scores_gemma":[0.9858837,0.003265497,0.0005546237,0.0004524685,0.008056582,0.001787168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000266006,0.000137181,0.06060672,0.000410436,0.0001463288,0.0005361895,0.01984621,0.002161696,0.0003114137,0.4903769,0.2706864,0.1545146],"study_design_scores_gemma":[0.00008077123,0.00005487074,0.1031797,0.001455632,0.0002743611,0.0001246898,0.06216129,0.002077307,0.0008262641,0.08961783,0.7399232,0.0002241246],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1893911,0.0390362,0.001088261,0.4227797,0.0009941299,0.00005635662,0.002211583,0.00006179655,0.3443809],"genre_scores_gemma":[0.9020233,0.02180019,0.0008073666,0.02727951,0.0003477557,0.00002140009,0.0005890481,0.00006630689,0.04706513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1033897,"threshold_uncertainty_score":0.7501485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170190016218959,"score_gpt":0.279834973714024,"score_spread":0.2628159720921281,"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."}}