{"id":"W2800614939","doi":"10.1111/ecin.12584","title":"PARLIAMENT SHAPES AND SIZES","year":2018,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Parliament; Economics; Ignorance; Power (physics); Law and economics; Political science; Mathematical economics; Law; Politics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002335619,0.0002103645,0.0005031425,0.001277969,0.001430657,0.004327005,0.0008551935,0.001149284,0.03481803],"category_scores_gemma":[0.02321668,0.0003585462,0.0004588165,0.0009735795,0.002876261,0.004582892,0.002053481,0.0009826968,0.003816058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306955,"about_ca_system_score_gemma":0.0007447837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002664841,"about_ca_topic_score_gemma":0.003505355,"domain_scores_codex":[0.9964275,0.00152195,0.0001057221,0.0007921446,0.000664912,0.0004877347],"domain_scores_gemma":[0.9898819,0.005461511,0.001561549,0.001323284,0.0007830314,0.0009886208],"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":[0.0001349836,0.00002838397,0.01247338,0.00005281217,0.00002711446,0.00008754883,0.002178352,0.006915364,0.0006928438,0.9475609,0.005596941,0.02425137],"study_design_scores_gemma":[0.00007553113,0.00007199057,0.04665892,0.00009985601,0.00004139388,0.0002681253,0.004222605,0.02202891,0.00128689,0.8229442,0.1022485,0.00005303389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.374469,0.0006020552,0.02836354,0.006789003,0.0001633687,0.00005311439,0.0007396251,0.0003477846,0.5884725],"genre_scores_gemma":[0.9774041,0.0001309454,0.001550296,0.0001890961,0.00006698886,0.00003062916,0.0001554442,0.00009514229,0.02037734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03481803,"threshold_uncertainty_score":0.1164779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07635561762603908,"score_gpt":0.3673472943881611,"score_spread":0.290991676762122,"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."}}