{"id":"W1987329507","doi":"10.1080/15245004.2010.503009","title":"The Food Mail Program: “When Figs Fly” – Dispatching Access and Affordability to Healthy Food","year":2010,"lang":"en","type":"article","venue":"Social Marketing Quarterly","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Works and Government Services Canada; Government of Canada","keywords":"Subsidy; Government (linguistics); Business; Population; Consumption (sociology); Environmental health; Supplemental Nutrition Assistance Program; Food supply; Marketing; Economic growth; Medicine; Food security; Agricultural economics; Geography; Food insecurity; Agriculture; Political science; Economics","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001248922,0.000142467,0.00007795721,0.0003767835,0.00405841,0.001001785,0.0005353604,0.001257826,0.02734559],"category_scores_gemma":[0.00205826,0.0001218588,0.0001420234,0.0002725415,0.001213112,0.0007143159,0.001282451,0.001243951,0.003574247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003386032,"about_ca_system_score_gemma":0.009906534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1968214,"about_ca_topic_score_gemma":0.4806242,"domain_scores_codex":[0.9994857,0.0001040608,0.000009126349,0.00003009448,0.0001148596,0.000256012],"domain_scores_gemma":[0.9990363,0.0001674359,0.0000446438,0.00005805233,0.0001651324,0.0005283457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001856333,0.001743013,0.02015491,0.0001569789,0.00000695419,0.0006710453,0.008780816,0.0001734181,0.004093742,0.01398794,0.5782537,0.3717919],"study_design_scores_gemma":[0.0000823529,0.0004635486,0.08678132,0.0001032928,0.00001177225,0.0003123876,0.01169794,0.0003448869,0.001608567,0.002277448,0.8962816,0.00003486595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2676129,0.0007359577,0.004047076,0.1073297,0.001617351,0.001398317,0.0008173217,0.001125412,0.6153161],"genre_scores_gemma":[0.5728878,0.0008717709,0.01570331,0.01767165,0.0005593796,0.0006806328,0.0005759107,0.0001496319,0.3909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1968214,"threshold_uncertainty_score":0.3913515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311148540871803,"score_gpt":0.3924001344153694,"score_spread":0.3592886490066514,"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."}}