{"id":"W2901632897","doi":"10.1111/amet.12704","title":"The farming of trust:","year":2018,"lang":"en","type":"article","venue":"American Ethnologist","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Wenner-Gren Foundation","keywords":"Certification; Transparency (behavior); Organic certification; Audit; Business; Bureaucracy; Agrarian society; State (computer science); Agriculture; Organic farming; Public relations; Politics; Faith; Political science; Accounting; Law; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003434001,0.0001073191,0.0001741626,0.00005203577,0.0003972075,0.00009683807,0.0003819451,0.00003903175,0.00001880117],"category_scores_gemma":[0.0009573967,0.00007315401,0.00007947203,0.0006694875,0.003881985,0.0001893052,0.0001323891,0.0001108151,0.00005324782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003709547,"about_ca_system_score_gemma":0.00002618668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00903966,"about_ca_topic_score_gemma":0.0006619647,"domain_scores_codex":[0.9991289,0.00001661791,0.0001909234,0.0001601179,0.0001512996,0.0003521434],"domain_scores_gemma":[0.9991624,0.00007750949,0.0002491016,0.0002887188,0.0002128456,0.000009409843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001653516,0.0002307376,0.3611615,0.00009821849,0.0001381788,0.00001137808,0.002791231,0.000008133186,0.000333805,0.1492575,0.0113046,0.4744994],"study_design_scores_gemma":[0.0005450036,0.0002625897,0.2897948,0.00002559687,0.0001225328,0.000001443047,0.2411263,0.0003933306,0.0004090139,0.03197525,0.4347878,0.0005562273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470072,0.00008306236,0.00007083672,0.004361438,0.0002714758,0.0001225344,0.000001967008,0.0001165136,0.047965],"genre_scores_gemma":[0.9978911,0.00001855574,0.00004577655,0.001259048,0.000603309,0.000004004046,0.000001587575,0.000009899753,0.0001667686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4739431,"threshold_uncertainty_score":0.9988289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434684564248719,"score_gpt":0.293944412464787,"score_spread":0.2695975668222999,"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."}}