{"id":"W2611757710","doi":"10.58079/mft2","title":"The Urban Food System of Nanjing, China","year":2016,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Geography; Socioeconomics; Archaeology; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005788274,0.0002028956,0.0002444056,0.00001244387,0.000691278,0.0001091556,0.0005185174,0.0001270438,0.0005441936],"category_scores_gemma":[0.000154287,0.00005207954,0.0001814449,0.0003391628,0.0001909148,0.002303153,0.0001157682,0.00009749977,0.0001479032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237328,"about_ca_system_score_gemma":0.00002300075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006325995,"about_ca_topic_score_gemma":0.001370296,"domain_scores_codex":[0.9981649,0.0002096299,0.0004557711,0.0003678889,0.0004329253,0.0003689221],"domain_scores_gemma":[0.9987257,0.0003835967,0.0002693227,0.0001715213,0.0003117704,0.0001380855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002647792,0.0004700405,0.007657045,0.0001053214,0.0001468685,0.0000143973,0.00015357,0.000002582421,0.0559053,0.7472781,0.09462289,0.09337913],"study_design_scores_gemma":[0.000514307,0.0009237284,0.6836018,0.000170253,0.00003984051,0.00002532413,0.001182993,0.000004661077,0.01380645,0.00278022,0.2965665,0.0003839332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208029,0.0005698341,0.00009148139,0.05758316,0.00108173,0.001056237,0.0005228877,0.0002136605,0.01807813],"genre_scores_gemma":[0.9962658,0.00003892256,0.00002108259,0.0006177007,0.000596201,0.0001236704,0.0001010524,0.000001629524,0.002233971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7444978,"threshold_uncertainty_score":0.5958538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009138554724221216,"score_gpt":0.1853929677069328,"score_spread":0.1762544129827116,"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."}}