{"id":"W1599250477","doi":"10.2139/ssrn.2864727","title":"The Rents from Trade and Coercive Institutions: Removing the Sugar Coating","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Download; Economic rent; Sugar; Business; Internet privacy; World Wide Web; Computer science; Economics; Biology; Food science; Microeconomics","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":[0.001871154,0.0003783889,0.001138314,0.0007821584,0.003280871,0.003952857,0.001308895,0.002962667,0.02356462],"category_scores_gemma":[0.01147834,0.0003338875,0.0008662645,0.0009382117,0.01068994,0.004741472,0.003929526,0.00361861,0.001214145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003173995,"about_ca_system_score_gemma":0.008383101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0303177,"about_ca_topic_score_gemma":0.05503158,"domain_scores_codex":[0.9984646,0.0003710389,0.00003808202,0.0001906254,0.0004325591,0.0005031129],"domain_scores_gemma":[0.9949273,0.002242168,0.0005936334,0.001193733,0.0005608559,0.0004823164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002263532,0.0001378906,0.003649934,0.000121169,0.00004875457,0.0002379057,0.001330564,0.001529652,0.0007034569,0.9512914,0.01195778,0.02876513],"study_design_scores_gemma":[0.0005577865,0.000201895,0.02010559,0.0004073427,0.000245887,0.0002014528,0.004047488,0.004800409,0.002281357,0.8262548,0.1407946,0.0001013389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.469947,0.002416461,0.02313328,0.05976381,0.0006695419,0.000220918,0.0004297263,0.0002223516,0.443197],"genre_scores_gemma":[0.9645728,0.0004763853,0.002189145,0.002153499,0.0002508653,0.00003901696,0.00002430379,0.00006585697,0.0302281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0303177,"threshold_uncertainty_score":0.07883143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684590758134146,"score_gpt":0.2759679877082157,"score_spread":0.2591220801268743,"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."}}