{"id":"W2502757441","doi":"10.1596/1813-9450-7768","title":"Feedback Matters: Evidence from Agricultural Services","year":2016,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Agriculture; Business; Geography; Archaeology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004196138,0.001001786,0.0008488552,0.00007131194,0.0008020865,0.001015821,0.001710352,0.0005873264,0.005745565],"category_scores_gemma":[0.0000368003,0.0003128825,0.0004445237,0.0003125309,0.0002134587,0.001135531,0.0005259354,0.0009450465,0.001859459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910448,"about_ca_system_score_gemma":0.00005841861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553925,"about_ca_topic_score_gemma":0.01316051,"domain_scores_codex":[0.9957678,0.0002070177,0.001006204,0.001315306,0.0008770289,0.0008266434],"domain_scores_gemma":[0.9958891,0.001816122,0.001247993,0.0003245944,0.0004613317,0.0002608237],"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":[0.0001392208,0.00008135846,0.0005897311,0.0001866419,0.0004542081,0.00005161742,0.0007122911,0.00000118433,0.155317,0.003243606,0.723659,0.1155641],"study_design_scores_gemma":[0.0001612814,0.00009147898,0.01900803,0.002927189,0.0001830333,0.00001500702,0.0002281533,0.000001110252,0.00189359,0.003796049,0.9704661,0.001228992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1858824,0.002872399,0.000001801647,0.02127199,0.002117576,0.001518841,0.001301893,0.0009146266,0.7841185],"genre_scores_gemma":[0.02668507,0.0001758438,0.0002273024,0.002996698,0.005144204,0.00008186188,0.001302434,0.00001274855,0.9633738],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2468071,"threshold_uncertainty_score":0.9999323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831536820550561,"score_gpt":0.2330014698042772,"score_spread":0.2046861015987716,"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."}}