{"id":"W1794560051","doi":"10.15353/cfs-rcea.v2i2.106","title":"SFSGEC - Peasant agriculture, seeds, and biodiversity","year":2015,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peasant; Food security; Food sovereignty; Food systems; Mainstream; Agriculture; Sustainability; Biodiversity; Agricultural biodiversity; Resilience (materials science); Sustainable agriculture; Natural resource economics; Business; Political science; Geography; Economics; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002897266,0.0002891875,0.0003014075,0.00004772056,0.0005400234,0.0000999761,0.000200935,0.0001206905,0.00002006195],"category_scores_gemma":[0.000105849,0.0001321732,0.00006379358,0.0004754325,0.0001526768,0.0002724556,0.00008508491,0.0001171563,0.0000219681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023507,"about_ca_system_score_gemma":0.00006645441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1626144,"about_ca_topic_score_gemma":0.9649539,"domain_scores_codex":[0.9984496,0.0001002439,0.000248741,0.0004385639,0.0001339643,0.0006288527],"domain_scores_gemma":[0.998273,0.000098376,0.0001094096,0.00006232721,0.0004032715,0.001053679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002581036,0.0003412505,0.6048315,0.0004836546,0.003859831,0.0008904902,0.08366905,0.0001438453,0.006321189,0.04138854,0.1805584,0.07725415],"study_design_scores_gemma":[0.0006653003,0.0006990302,0.8259618,0.0001115882,0.0001552301,0.0001452844,0.04586516,0.000007245698,0.0005243182,0.0020967,0.1229496,0.0008187466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945269,0.002458505,2.897594e-7,0.001350818,0.0002438185,0.000350988,0.0002390808,0.00005544582,0.0007741168],"genre_scores_gemma":[0.9980537,0.0003735684,0.0000912156,0.0005611081,0.000133205,0.00003750927,0.0003695968,0.00000195383,0.0003781874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8023395,"threshold_uncertainty_score":0.8429618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06174240708976987,"score_gpt":0.2087175435142149,"score_spread":0.146975136424445,"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."}}