{"id":"W4387587735","doi":"10.2139/ssrn.4574439","title":"Prosecutorial Discretion: A Theoretical and Experimental Investigation","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Discretion; Psychology; Political science; Econometrics; Law and economics; Economics; Law","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":[0.0239316,0.0007909377,0.00202056,0.001738881,0.002429507,0.006171159,0.004550389,0.003253473,0.05355699],"category_scores_gemma":[0.1747645,0.001111566,0.0009768072,0.001834547,0.006212475,0.008343666,0.003430755,0.004737675,0.002474651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860631,"about_ca_system_score_gemma":0.002709768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001939735,"about_ca_topic_score_gemma":0.001823769,"domain_scores_codex":[0.9858239,0.007493264,0.0009239938,0.001991298,0.002641596,0.001126048],"domain_scores_gemma":[0.4826496,0.4599512,0.02687984,0.02323735,0.004861588,0.002420457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0364112,0.05117713,0.0661302,0.003049185,0.001123764,0.001281814,0.01352654,0.01183484,0.0246548,0.7057949,0.009059219,0.07595631],"study_design_scores_gemma":[0.01827068,0.01400935,0.1221502,0.0006081459,0.002661318,0.001515302,0.009348463,0.0815573,0.01118487,0.727633,0.01059846,0.0004628403],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931321,0.0008613831,0.009779689,0.0028591,0.0001433052,0.0009854035,0.0005924345,0.00007012436,0.05338747],"genre_scores_gemma":[0.9953132,0.000216205,0.001788684,0.0002866844,0.00009834245,0.0002238273,0.0001113168,0.00002978996,0.001932042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05355699,"threshold_uncertainty_score":0.179166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012784137435909,"score_gpt":0.217710357733659,"score_spread":0.20492622029775,"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."}}