{"id":"W7139244105","doi":"","title":"Morality &amp; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048469,0.0003002246,0.0003446693,0.001619095,0.0082629,0.01824056,0.0009563759,0.003849294,0.007325819],"category_scores_gemma":[0.01085975,0.0002717356,0.0003199821,0.001468723,0.0514921,0.009405967,0.00583794,0.003292931,0.00144383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007552272,"about_ca_system_score_gemma":0.003394437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005996668,"about_ca_topic_score_gemma":0.004916507,"domain_scores_codex":[0.9914227,0.005885569,0.0001450601,0.0007553686,0.0009903769,0.0008009559],"domain_scores_gemma":[0.9919361,0.003028348,0.001514501,0.0009897742,0.001171246,0.001360083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009164565,0.00001068163,0.0005439275,0.00001715476,0.0000031982,0.00007122789,0.007074636,0.0001352614,0.00004199633,0.9837479,0.003542715,0.004802229],"study_design_scores_gemma":[0.00001794507,0.00002912853,0.00329097,0.000142588,0.000008549964,0.0002710642,0.01260961,0.001025272,0.0001304333,0.8633612,0.1190678,0.00004549402],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07567941,0.00596436,0.01203348,0.0620739,0.0005372256,0.00003382649,0.00007549709,0.00009803173,0.8435043],"genre_scores_gemma":[0.9822812,0.0007497331,0.0009046419,0.0009490738,0.0001443514,0.00002198745,0.000008502956,0.00003715802,0.01490325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01824056,"threshold_uncertainty_score":0.0547958,"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."}}