{"id":"W7047310448","doi":"","title":"Geographies of race and food : fields, bodies, markets","year":2013,"lang":"en","type":"other","venue":"Lancaster EPrints (Lancaster University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Circumstantial evidence; Population; Government (linguistics); Diafiltration; TSG101","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":[0.0005446899,0.0004984036,0.000405598,0.002364429,0.00400196,0.00503753,0.0006135549,0.001303038,0.007189355],"category_scores_gemma":[0.001615751,0.0002376403,0.0002838782,0.004674835,0.008558759,0.005714803,0.002644246,0.001688202,0.0007564872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002903883,"about_ca_system_score_gemma":0.001697087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01602564,"about_ca_topic_score_gemma":0.03973489,"domain_scores_codex":[0.999534,0.0002502255,0.00001651208,0.00005629014,0.00009938639,0.00004359475],"domain_scores_gemma":[0.9993173,0.0004652121,0.00007536798,0.00003460675,0.0000579285,0.00004961933],"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":[0.00002136993,0.0000168736,0.003751017,0.0005062215,0.000009668323,0.0003007068,0.08783953,0.0001878241,0.0003993594,0.6292365,0.1814854,0.09624565],"study_design_scores_gemma":[0.000002051644,0.00001059043,0.01127085,0.001016184,0.000005961188,0.0002996788,0.0637443,0.00004956019,0.00007929051,0.03195825,0.8915486,0.0000146223],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04426059,0.2049921,0.008053953,0.1210951,0.006874113,0.0001135613,0.0009911616,0.0001789888,0.6134405],"genre_scores_gemma":[0.5377356,0.2385231,0.01067825,0.01461389,0.006489345,0.0003882355,0.0006446906,0.0003324643,0.1905944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01602564,"threshold_uncertainty_score":0.0318647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008867340210204916,"score_gpt":0.1951467847293028,"score_spread":0.1862794445190979,"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."}}