{"id":"W4375950438","doi":"10.1017/s1752971923000064","title":"A combinatorial theory of institutional invention","year":2023,"lang":"en","type":"article","venue":"International Theory","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; MacEwan University; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Georgetown University; American Political Science Association","keywords":"Incentive; Pace; Process (computing); Corporate governance; Face (sociological concept); Investment (military); Institutional theory; Political science; Economic system; Law and economics; Business; Economics; Sociology; Computer science; Market economy; Law; Management; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001068539,0.00006996189,0.0001503289,0.0002897648,0.00004523886,0.00002246234,0.0002431043,0.00005216087,0.00138301],"category_scores_gemma":[0.0003635591,0.00008076197,0.0001075535,0.0001327537,0.0001087935,0.0002003367,0.00007719389,0.00006617235,0.001127134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008478164,"about_ca_system_score_gemma":0.00002431843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003667513,"about_ca_topic_score_gemma":0.000001252307,"domain_scores_codex":[0.9992833,0.00001913013,0.0003824442,0.000145636,0.00003654877,0.0001329043],"domain_scores_gemma":[0.9994708,0.0001201632,0.0002105802,0.0001292681,0.00002957053,0.0000396395],"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":[0.00004688756,0.00004020575,0.002586428,0.000004751365,0.00007338107,0.00000111675,0.0001917751,0.0001101518,0.00005577416,0.9946331,0.001226658,0.001029815],"study_design_scores_gemma":[0.0004589155,0.00002262829,0.01826714,0.00001219614,0.000001721791,0.000002495854,0.00005372891,0.000500278,0.0001588231,0.9395393,0.04090387,0.00007896317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5101389,0.0001601505,0.001543499,0.0004955171,0.004406954,0.00008489339,0.0003300277,0.00006054785,0.4827795],"genre_scores_gemma":[0.9966963,0.00007596695,0.00002776181,0.0002126711,0.0002768753,0.000009625499,0.00005913042,0.000009418453,0.002632256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4865574,"threshold_uncertainty_score":0.9996506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05471997450062892,"score_gpt":0.2560812584067965,"score_spread":0.2013612839061675,"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."}}