{"id":"W2324517372","doi":"10.15353/cfs-rcea.v3i1.136","title":"Growing local: Case studies on local food supply chains by Robert P. King, Michael S. Hand, and Miguel I. Gomez (Eds.)","year":2016,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mainstream; Food supply; Food systems; Product (mathematics); Food chain; Supply chain; Work (physics); Food studies; Geography; Agricultural economics; Economics; Political science; Food security; Marketing; Business; Engineering; Agriculture; Law; Archaeology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001485878,0.0003707139,0.0002313432,0.001156511,0.002401446,0.002449485,0.001303845,0.0012189,0.00555182],"category_scores_gemma":[0.002042386,0.0003151643,0.0002358775,0.004625204,0.001787191,0.002862383,0.002108725,0.001197224,0.0007428419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003778759,"about_ca_system_score_gemma":0.002536224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05224841,"about_ca_topic_score_gemma":0.1810742,"domain_scores_codex":[0.9990276,0.0005920806,0.00003387971,0.00007958123,0.0001892911,0.0000776774],"domain_scores_gemma":[0.9984803,0.0009288047,0.0002007139,0.00005764146,0.000183053,0.0001495846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001282441,0.0005722048,0.03161772,0.002344751,0.00006594537,0.01265536,0.1526807,0.003302321,0.001374369,0.05086455,0.3801355,0.3642583],"study_design_scores_gemma":[0.00001788995,0.00008778677,0.01787235,0.001744134,0.00003099794,0.002964622,0.1816878,0.000693318,0.000499221,0.006965697,0.7873841,0.00005209409],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3284892,0.270617,0.01093152,0.106229,0.001350289,0.0009168027,0.00100717,0.0001126734,0.2803462],"genre_scores_gemma":[0.6552591,0.2358583,0.01520698,0.004990827,0.0005351966,0.0007513714,0.000620275,0.00008783852,0.08668999],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05224841,"threshold_uncertainty_score":0.1038886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204077503391925,"score_gpt":0.2106416513103332,"score_spread":0.1902339009711407,"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."}}