{"id":"W3122855469","doi":"","title":"Exports to Smuggle and Smuggling Technologies","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Enforcement; Business; Tax evasion; Advertising; Evasion (ethics); Commerce; International trade; Dumping; Law enforcement; Economics; Law; Political science; Public economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006056348,0.0005612216,0.0006166253,0.001884689,0.002200522,0.002740034,0.0008412352,0.00212179,0.01152169],"category_scores_gemma":[0.002483798,0.0002884953,0.0009866966,0.00217924,0.001644176,0.001724705,0.001507565,0.001525263,0.0009380606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696037,"about_ca_system_score_gemma":0.001156359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04498825,"about_ca_topic_score_gemma":0.05045196,"domain_scores_codex":[0.9992293,0.0001261709,0.00004403118,0.00006961906,0.0001851217,0.0003457602],"domain_scores_gemma":[0.998289,0.0005589569,0.0006562443,0.0001779707,0.0002178755,0.00009988202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007218238,0.001003598,0.214894,0.0008811709,0.00008055575,0.0117283,0.005314305,0.06045543,0.002614004,0.6086894,0.01724809,0.07636937],"study_design_scores_gemma":[0.0003198518,0.000887591,0.2548997,0.001161125,0.0002940879,0.01205476,0.02018863,0.114633,0.01461988,0.1940748,0.3865505,0.0003161167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8525418,0.001128446,0.01125252,0.001347078,0.00005599087,0.0003332786,0.00308108,0.000105294,0.1301545],"genre_scores_gemma":[0.9441897,0.001955424,0.003565163,0.0002819754,0.00006724024,0.0001753485,0.002949727,0.00004648033,0.04676902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04498825,"threshold_uncertainty_score":0.08945274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06185004896114697,"score_gpt":0.3039654652623402,"score_spread":0.2421154163011932,"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."}}