{"id":"W2771794716","doi":"10.1139/facets-2017-0019","title":"Social institutions mediating seed access in West African seed systems","year":2017,"lang":"en","type":"article","venue":"FACETS","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Socio-Environmental Synthesis Center; National Science Foundation","keywords":"Livelihood; Formal system; Standardization; Social system; Market access; Business; Agriculture; Market system; Economic growth; Marketing; Economic system; Economics; Political science; Sociology; Geography; Social science; Market economy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002219729,0.00009842417,0.0001386447,0.00001220521,0.001310237,0.0007257464,0.0004914282,0.0000884544,0.00007559553],"category_scores_gemma":[0.0001789212,0.00003506233,0.0000324644,0.0002521138,0.00006863094,0.0009623077,0.0001459166,0.000152474,0.0000471485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003346389,"about_ca_system_score_gemma":0.00001314606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003528793,"about_ca_topic_score_gemma":0.003765352,"domain_scores_codex":[0.9992084,0.00005094153,0.0001999505,0.0001802964,0.0001520601,0.0002083692],"domain_scores_gemma":[0.9994642,0.00008832154,0.0002694361,0.00005363846,0.00008249812,0.00004186748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003306396,0.0002562275,0.8033387,0.00003133811,0.00004418628,0.00002291144,0.001247792,0.0001370037,0.1610078,0.01510315,0.002058746,0.01671905],"study_design_scores_gemma":[0.00008959242,0.00001794802,0.9714273,0.00001290106,0.000004354687,0.000002591622,0.0008494341,0.00007306439,0.0001370483,0.00005181982,0.02721322,0.0001207192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716926,0.00003386072,0.000001336395,0.007118655,0.0002556486,0.0001927784,0.00004296339,0.00004404482,0.02061817],"genre_scores_gemma":[0.9989156,0.00001008634,0.00001306101,0.00006602847,0.0004658509,0.00003305837,0.00007415767,4.504263e-7,0.0004217375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1680886,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1594063194225632,"score_gpt":0.3598921421280667,"score_spread":0.2004858227055035,"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."}}