{"id":"W2254948161","doi":"","title":"The Relational Geography of Peri-urban Farmer Adaptation","year":2014,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Adaptation (eye); Politics; Economic geography; Geography; Economic system; Business; Economy; Economics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000567829,0.00005932708,0.00009575376,0.000007157645,0.0006085088,0.00002441453,0.000156898,0.00003274994,0.00002093891],"category_scores_gemma":[0.0000365074,0.00001582243,0.00004847283,0.0001012303,0.00004965174,0.00007207382,0.00004562119,0.0002478773,9.486541e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007403313,"about_ca_system_score_gemma":0.000008878162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003217213,"about_ca_topic_score_gemma":0.00009640051,"domain_scores_codex":[0.9993037,0.0001844078,0.0002430261,0.00002072094,0.000171606,0.00007651981],"domain_scores_gemma":[0.9993389,0.0002631566,0.0002039858,0.00002202896,0.0001292528,0.00004265652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008627034,0.0002159478,0.03071677,0.00001241202,0.0001007498,3.242761e-7,0.004733167,0.000008545229,0.03090966,0.00143608,0.001677182,0.9301029],"study_design_scores_gemma":[0.0001018941,0.0002623656,0.9155428,0.0000361446,0.000007095837,0.00001660726,0.007487996,0.00000655869,0.0008582477,0.0004534952,0.07516849,0.0000583004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971628,0.0003238552,0.000008543477,0.002180384,0.00006321837,0.0000277117,0.000001123294,0.000003210937,0.0002291945],"genre_scores_gemma":[0.9994688,0.0001133796,0.0002189684,0.00005712685,0.00007043409,5.455705e-7,0.00000621285,2.615039e-7,0.00006429226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9300446,"threshold_uncertainty_score":0.4680219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481909122931011,"score_gpt":0.1829447813419666,"score_spread":0.1681256901126565,"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."}}