{"id":"W3043684371","doi":"10.1146/annurev-lawsocsci-051920-020619","title":"Constitutions and the Metropolis","year":2020,"lang":"en","type":"article","venue":"Annual Review of Law and Social Science","topic":"American Constitutional Law and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Yale University","keywords":"Polity; Megacity; Sovereignty; Urbanization; Sociology; Constitutional theory; Corporate governance; Political science; Law and economics; Political economy; Constitution; Law; Politics; Economics; Economic growth; Economy","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":[0.00290652,0.0001575708,0.000382559,0.001397225,0.005605936,0.007699057,0.0007122176,0.001928082,0.005772729],"category_scores_gemma":[0.005725358,0.0002629012,0.0002116598,0.001770132,0.02526918,0.004614278,0.005215649,0.002915706,0.0004929907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006354607,"about_ca_system_score_gemma":0.00393554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01612152,"about_ca_topic_score_gemma":0.02029996,"domain_scores_codex":[0.99726,0.001365505,0.0001406649,0.0004740829,0.0003237683,0.0004361135],"domain_scores_gemma":[0.9979831,0.0009308702,0.0003076966,0.0003171731,0.0002337633,0.0002274124],"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":[0.000001434417,0.000001626344,0.0001678037,0.000007555657,0.000001320755,0.00001515079,0.0007727901,0.00007795749,0.00002001614,0.9967361,0.000848885,0.00134921],"study_design_scores_gemma":[0.00001987516,0.00001193657,0.002840062,0.0001597322,0.00001161244,0.00006416177,0.002805189,0.0003735546,0.0001536785,0.7664987,0.2270433,0.00001823391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.115687,0.02326554,0.005415516,0.09055691,0.0006519641,0.00005914735,0.0003356872,0.0001037672,0.7639245],"genre_scores_gemma":[0.9747209,0.003750479,0.0009376636,0.002990017,0.0003773203,0.00006156875,0.0001082384,0.00003231833,0.01702152],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01612152,"threshold_uncertainty_score":0.04610604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606111916851503,"score_gpt":0.350518852595805,"score_spread":0.3244577334272899,"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."}}