{"id":"W3123027529","doi":"","title":"Law without the State: Legal Attributes and the Coordination of Decentralized Collective Punishment","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Punishment (psychology); Order (exchange); Politics; Democracy; Function (biology); State (computer science); Political science; Law; Private law; Law and economics; Public law; Sociology; Economics; Computer science; Social psychology; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.002639527,0.0001097447,0.0004023769,0.00005588106,0.0003744208,0.0002078541,0.0002486338,0.00005086468,0.00005557229],"category_scores_gemma":[0.00007410882,0.00008303401,0.0001124131,0.0001185376,0.0003748598,0.0003207588,0.00003838498,0.0004793814,0.00003517545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006631227,"about_ca_system_score_gemma":0.0002776263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00742596,"about_ca_topic_score_gemma":0.002355388,"domain_scores_codex":[0.9981998,0.00008638023,0.000650463,0.0001709033,0.0000471588,0.000845339],"domain_scores_gemma":[0.9989253,0.00012368,0.0006570728,0.0001560389,0.00008776398,0.00005015307],"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":[0.0000513008,0.00002478261,0.009179881,0.000003449064,0.0002284417,9.743805e-8,0.0006411932,0.00002643708,0.000006904106,0.9891651,0.000295405,0.0003769898],"study_design_scores_gemma":[0.002602359,0.0001251004,0.003017663,0.000008062413,0.00001622941,0.00004688661,0.001104398,0.0009384814,0.00005911754,0.9861313,0.005827046,0.0001233799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467182,0.01581734,0.005415263,0.0119472,0.0006881846,0.001347699,0.00004461984,0.00001925181,0.01800231],"genre_scores_gemma":[0.9944271,0.003786385,0.00001337245,0.0002060278,0.0001155693,0.00003334815,0.000002180452,0.00001480826,0.001401214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04770895,"threshold_uncertainty_score":0.9991837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071407677284346,"score_gpt":0.2020745425164419,"score_spread":0.1913604657435985,"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."}}