{"id":"W2276643678","doi":"10.3982/te2618","title":"Agendas in legislative decision‐making","year":2021,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Legislature; Voting; Variety (cybernetics); Political science; Order (exchange); Social choice theory; Independence (probability theory); Computer science; Outcome (game theory); Law and economics; Economics; Politics; Mathematical economics; Law; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001287824,0.0001633983,0.0005119586,0.0001455241,0.00006374002,0.00009442741,0.0002393458,0.0001403937,0.00293067],"category_scores_gemma":[0.0006636214,0.0001990541,0.0001344167,0.0001865873,0.0002391069,0.0001590773,0.0001224148,0.0002318682,0.001530204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424324,"about_ca_system_score_gemma":0.00003732158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007570349,"about_ca_topic_score_gemma":0.00002657655,"domain_scores_codex":[0.9982397,0.00006058927,0.000815215,0.000497424,0.00001668249,0.0003704179],"domain_scores_gemma":[0.9987337,0.000550074,0.0001890723,0.0004237579,0.00002126375,0.00008216057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003455499,0.000052602,0.005007219,0.000008351713,0.00001973674,0.00001958311,0.0007548981,0.0002889771,0.000003882488,0.992274,0.00004357697,0.001492606],"study_design_scores_gemma":[0.0004523704,0.00002281803,0.002321419,0.00005452841,0.000002559802,0.00002147136,0.0001771187,0.005343659,0.00009130847,0.9836321,0.007627262,0.0002533092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6491569,0.0005064374,0.007391998,0.000337747,0.0008045231,0.0001034033,0.00005624501,0.00003510528,0.3416076],"genre_scores_gemma":[0.9967794,0.00007631499,0.002040037,0.0004228654,0.0001304021,0.00001025032,0.000006361929,0.00003088282,0.0005034673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3476225,"threshold_uncertainty_score":0.9992472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493877929833382,"score_gpt":0.2469426469455868,"score_spread":0.222003867647253,"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."}}