{"id":"W2800912360","doi":"10.1111/joac.12265","title":"Capitalist food production and the rise of legal adulteration: Regulating food standards in 19th‐century Britain","year":2018,"lang":"en","type":"article","venue":"Journal of Agrarian Change","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Food processing; Production (economics); State (computer science); Political science; Business; Economics; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001302727,0.00007428435,0.0001602548,0.001110326,0.001988378,0.002482079,0.0004072762,0.0007065046,0.002567781],"category_scores_gemma":[0.003022965,0.0001761224,0.0001049138,0.001290361,0.01133458,0.0009295475,0.002030427,0.0008671453,0.0001261656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008676068,"about_ca_system_score_gemma":0.002131017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08344425,"about_ca_topic_score_gemma":0.1255987,"domain_scores_codex":[0.9989269,0.0002608694,0.00004459261,0.000132699,0.0002817972,0.0003531729],"domain_scores_gemma":[0.9982578,0.0005127377,0.0004870525,0.0002026961,0.0003461153,0.0001935861],"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":[0.0002568835,0.00009971238,0.09962154,0.0001413004,0.00003326614,0.001228925,0.1307127,0.002207269,0.004718779,0.6933684,0.002520636,0.06509056],"study_design_scores_gemma":[0.00005057981,0.0001255846,0.7850738,0.0002391139,0.00001689771,0.00029839,0.02305151,0.001749856,0.001536936,0.06569459,0.122083,0.00007966577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443253,0.0005541024,0.0006895544,0.002255863,0.00001240099,0.000006612686,0.00004385434,0.00001159535,0.05210068],"genre_scores_gemma":[0.9987088,0.00007441745,0.00005237225,0.00003401719,0.000002901726,0.000001235466,0.000005955204,0.000001653549,0.001118701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08344425,"threshold_uncertainty_score":0.1659171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080317716171016,"score_gpt":0.3077112624333478,"score_spread":0.2769080852716377,"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."}}