{"id":"W4212910398","doi":"10.3386/w10978","title":"Theft and Taxes","year":2004,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Computer security; Computer science","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":[0.0008004767,0.0001691894,0.0004863625,0.0007166885,0.001027012,0.002795863,0.0003090736,0.001128401,0.01046225],"category_scores_gemma":[0.005551628,0.0001431206,0.0003855941,0.001362578,0.00308483,0.002707493,0.00109572,0.002046556,0.0004956085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232734,"about_ca_system_score_gemma":0.001164988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005354202,"about_ca_topic_score_gemma":0.004855749,"domain_scores_codex":[0.9991857,0.0002333239,0.00003027819,0.0001053191,0.0002064072,0.0002389526],"domain_scores_gemma":[0.9967687,0.001642923,0.0009386856,0.0002749967,0.000236002,0.0001387155],"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":[0.00003740376,0.00004512757,0.006238733,0.00004127516,0.00001721631,0.0001273839,0.000227724,0.001897869,0.0001016253,0.9728482,0.003158255,0.0152592],"study_design_scores_gemma":[0.00002901365,0.00004758421,0.01064448,0.0001396981,0.00003032501,0.0002529058,0.0003708367,0.002289556,0.0004369683,0.9360936,0.04965014,0.00001500141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3579779,0.02242141,0.01590845,0.03437702,0.0003635217,0.00005056942,0.0003504009,0.00006354444,0.5684871],"genre_scores_gemma":[0.9693768,0.005031341,0.0003836495,0.0009222748,0.0002681374,0.000009271188,0.00005157067,0.00001759381,0.02393941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01046225,"threshold_uncertainty_score":0.03499973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3598286986798433,"score_gpt":0.4456803133721499,"score_spread":0.08585161469230657,"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."}}