{"id":"W7139244105","doi":"","title":"Morality & reputation in the mobilities policing of goods and money","year":2023,"lang":"en","type":"other","venue":"Oskar-Bordeaux (Universite de Bordeaux)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Duty; Reputation; State (computer science); Rationalisation; Production (economics); Moral economy; Misrepresentation; Goods and services","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001525237,0.0007217449,0.0009861118,0.00194688,0.0001920008,0.00009817768,0.0008834263,0.0006918465,0.000537004],"category_scores_gemma":[0.0002819237,0.0007296106,0.0002411606,0.002377581,0.0007128729,0.0003998764,0.0003566146,0.000740458,0.0003435749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005303966,"about_ca_system_score_gemma":0.0003146259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1133162,"about_ca_topic_score_gemma":0.09396172,"domain_scores_codex":[0.9960193,0.0007521153,0.0005691189,0.0009660575,0.0008127141,0.0008806709],"domain_scores_gemma":[0.9969815,0.000485149,0.0008272296,0.001396968,0.0001341893,0.0001749563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009618308,0.001073504,0.05647866,0.003077354,0.001700241,0.000611948,0.08004462,0.001811159,0.002253027,0.1431451,0.6974529,0.01138962],"study_design_scores_gemma":[0.004278281,0.0003207816,0.1272896,0.001879338,0.0009231145,0.00009599114,0.03636258,0.001393326,0.00004635335,0.004710977,0.8202054,0.002494259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2510181,0.00215846,0.0004454075,0.002184943,0.0005694125,0.003388413,0.003899299,0.002732249,0.7336037],"genre_scores_gemma":[0.4042492,0.002959306,0.005293847,0.0004651991,0.0006133172,0.0001112523,0.001308235,0.005260843,0.5797388],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1538649,"threshold_uncertainty_score":0.9995155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215005098158786,"score_gpt":0.2933385370906189,"score_spread":0.2718380272747403,"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."}}