{"id":"W3011494415","doi":"10.21083/ruralreview.v1i1.6077","title":"Supporting Local Food in Northern Ontario","year":2017,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Business; Directory; Alliance; Distribution (mathematics); Northern ireland; Production (economics); Ecosystem services; Rural area; Food processing; Environmental resource management; Geography; Marketing; Environmental planning; Ecology; Computer science; Environmental science; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112311,0.0001920906,0.0001984622,0.0008013612,0.006983724,0.002928302,0.001112518,0.0005893004,0.01311768],"category_scores_gemma":[0.002241658,0.0002390565,0.0001693847,0.002688491,0.002086315,0.0009271062,0.00204825,0.0005133817,0.0006709491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04922161,"about_ca_system_score_gemma":0.09846719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9758543,"about_ca_topic_score_gemma":0.9948055,"domain_scores_codex":[0.9990001,0.0001805718,0.00002365842,0.00008122168,0.0002453185,0.0004690091],"domain_scores_gemma":[0.9980039,0.000276595,0.0001763074,0.00006996799,0.0007734281,0.0006998484],"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":[0.0005189705,0.0002414722,0.110769,0.007450646,0.0001079489,0.007118605,0.1990128,0.001782255,0.006922848,0.08169499,0.1774829,0.4068976],"study_design_scores_gemma":[0.00003681743,0.00009442645,0.1142171,0.001049442,0.00005288788,0.0002678889,0.1083277,0.0002696176,0.0004183646,0.001999101,0.7732277,0.00003894641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4382986,0.01610602,0.00140193,0.02069161,0.0002976794,0.0004566628,0.001606046,0.0001636835,0.5209778],"genre_scores_gemma":[0.8777962,0.01204936,0.002386349,0.00158924,0.00003940536,0.0001846051,0.0005975266,0.00003492704,0.1053224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04922161,"threshold_uncertainty_score":0.3571294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347751170363939,"score_gpt":0.3023258354911585,"score_spread":0.2688483237875192,"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."}}