{"id":"W2287251714","doi":"10.1007/s10460-017-9811-y","title":"\"We are a business, not a social service agency.\" Barriers to widening access for low-income shoppers in alternative food market spaces","year":2017,"lang":"en","type":"article","venue":"Agriculture and Human Values","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Canada Research Chairs; Arrell Food Institute, University of Guelph; Royal Society of Canada; Pierre Elliott Trudeau Foundation","keywords":"Poverty; Marketing; Agency (philosophy); Business; Inequality; Market access; Economic growth; Food systems; Public economics; Economics; Food security; Sociology; Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000190616,0.0003495199,0.0004203104,0.0000248206,0.002120733,0.001016219,0.0008590119,0.0002109044,0.0001494799],"category_scores_gemma":[0.0001316712,0.0001281791,0.0001161805,0.000309574,0.00007793338,0.0006570935,0.0003496829,0.0001902845,0.000004740968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003973866,"about_ca_system_score_gemma":0.00001171632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005263458,"about_ca_topic_score_gemma":0.0183426,"domain_scores_codex":[0.9983466,0.00005843998,0.0002627219,0.0005986571,0.0002654069,0.0004682002],"domain_scores_gemma":[0.9990728,0.00008163696,0.0002828918,0.00009148548,0.0002262315,0.0002449518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007808346,0.0005756334,0.1597826,0.000958225,0.0006464738,0.0001106038,0.03293529,0.0000436849,0.6098289,0.003910763,0.1725098,0.01791706],"study_design_scores_gemma":[0.0004772768,0.0002300396,0.9797775,0.0003189392,0.00004448502,0.000005590045,0.005166079,0.000005816629,0.002068142,0.000884602,0.0104889,0.0005327007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634154,0.0001503704,6.924649e-7,0.03477475,0.0001804077,0.0006185733,0.000196337,0.00006181953,0.000601634],"genre_scores_gemma":[0.9966321,0.00005790621,0.00002714697,0.0009567425,0.001370363,0.00008828285,0.00004450259,0.000003389471,0.0008195686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8199948,"threshold_uncertainty_score":0.9995701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154577568807841,"score_gpt":0.268525954823729,"score_spread":0.2369801791356506,"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."}}