{"id":"W7139631569","doi":"","title":"Farm Food for All","year":2016,"lang":"en","type":"report","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cafeteria; Food systems; Hectare; Production (economics); Grocery store; Food processing; Healthy food; Productivity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004425573,0.0005593739,0.0004820412,0.0007715067,0.00266373,0.003970069,0.0009373686,0.001266412,0.6321192],"category_scores_gemma":[0.001694187,0.0001874992,0.0003606507,0.001041894,0.0004220574,0.002300236,0.003805201,0.001632369,0.4800196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248128,"about_ca_system_score_gemma":0.002473637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01524962,"about_ca_topic_score_gemma":0.04196835,"domain_scores_codex":[0.9993922,0.00006311838,0.00001891075,0.0001053143,0.000254368,0.0001660579],"domain_scores_gemma":[0.9988024,0.00004816672,0.00004923152,0.0001206355,0.0005392465,0.0004403586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003633406,0.00008027477,0.001152649,0.0001483447,0.000004978556,0.0001238326,0.0003412072,0.00001154143,0.0004455125,0.002469134,0.8630728,0.1321134],"study_design_scores_gemma":[0.00000288323,0.00001029359,0.001174974,0.00004275631,0.000001226367,0.00006714917,0.000338887,0.000007611586,0.0000371168,0.0002081606,0.998106,0.00000297916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00473601,0.001591895,0.000588877,0.009827602,0.001758926,0.0001477278,0.00463513,0.001440925,0.9752729],"genre_scores_gemma":[0.01008163,0.001016582,0.0006403556,0.004012183,0.0001861545,0.00005168793,0.00337837,0.0003958805,0.9802372],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6321192,"threshold_uncertainty_score":0.5247374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02863356461505716,"score_gpt":0.2205878124920601,"score_spread":0.191954247877003,"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."}}