{"id":"W2168459309","doi":"10.1016/j.foodpol.2015.07.008","title":"Farmer seed networks make a limited contribution to agriculture? Four common misconceptions","year":2015,"lang":"en","type":"article","venue":"Food Policy","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":268,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fondation pour la Recherche sur la Biodiversite","keywords":"Livelihood; Agricultural biodiversity; Agriculture; Food security; Provisioning; Germplasm; Business; Agroforestry; Agricultural economics; Political science; Agricultural science; Economics; Biology; Agronomy; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001650954,0.0002773222,0.0002924469,0.00002697791,0.0002532153,0.0001221615,0.0003289711,0.0002243346,0.00004260182],"category_scores_gemma":[0.000121959,0.00009349718,0.000123381,0.001145849,0.00003151613,0.00009627885,0.0001495622,0.0001987788,0.0002738312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837444,"about_ca_system_score_gemma":0.00002719594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008241378,"about_ca_topic_score_gemma":0.004189665,"domain_scores_codex":[0.9982855,0.00012015,0.0003161517,0.0003471572,0.0003156174,0.0006154111],"domain_scores_gemma":[0.9989038,0.00005533314,0.0001126524,0.00008433747,0.0002738243,0.0005700518],"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":[0.0009386782,0.001686224,0.07675843,0.00002781682,0.0008083591,0.0000668385,0.004346274,0.004878212,0.04484631,0.1191073,0.5442914,0.2022442],"study_design_scores_gemma":[0.0005759685,0.0008150218,0.6442657,0.00003610904,0.0000302322,0.00004206812,0.000518723,0.0000758142,0.0006993706,0.002661387,0.3497335,0.0005461957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884858,0.0001577638,0.00005739636,0.008406335,0.0002659171,0.0006384455,0.0001463046,0.0002192988,0.001622723],"genre_scores_gemma":[0.9930956,0.00001759021,0.0000834103,0.002873829,0.00167089,0.00009650259,0.0005790447,0.000001966453,0.001581169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5675072,"threshold_uncertainty_score":0.3812704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383975092089832,"score_gpt":0.2438829254067819,"score_spread":0.2100431744858836,"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."}}