{"id":"W2070142512","doi":"10.1016/s0308-521x(03)00123-9","title":"Using evaluation to enhance institutional learning and change: recent experiences with agricultural research and development","year":2003,"lang":"en","type":"article","venue":"Agricultural Systems","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Consortium of International Agricultural Research Centers","keywords":"Agriculture; Food security; Accountability; Agricultural communication; Poverty; Work (physics); Business; Political science; Economic growth; Economics; Engineering","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":[0.007566324,0.0001512518,0.0001932061,0.0001363313,0.001076703,0.0005842366,0.0001356345,0.00005548695,0.0001253105],"category_scores_gemma":[0.0007094488,0.00007144977,0.00001037498,0.0009987698,0.00009740324,0.0008737958,0.00007409234,0.0001562174,0.00005013926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231156,"about_ca_system_score_gemma":0.0002305534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007493794,"about_ca_topic_score_gemma":0.0001596147,"domain_scores_codex":[0.9946343,0.0006556155,0.0004250322,0.000496996,0.003455156,0.0003329328],"domain_scores_gemma":[0.9969473,0.0002074965,0.0001492764,0.00009656471,0.00241713,0.0001822605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002374141,0.0004588056,0.1643259,0.000171467,0.0002192413,0.00001598266,0.4008276,0.01523477,0.04579488,0.01125972,0.003915649,0.3575386],"study_design_scores_gemma":[0.0006398799,0.0005065491,0.4519049,0.0003201975,0.00001368766,0.0002753318,0.4420972,0.002064743,0.005145824,0.0000429754,0.09638792,0.0006007674],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948067,0.0009506277,0.0002487627,0.0003127946,0.0003245243,0.0009411213,5.879741e-7,0.00001706973,0.002397779],"genre_scores_gemma":[0.997582,0.00004036514,0.00115655,0.00001642709,0.0001095307,0.0004503953,0.000007224653,0.000002999139,0.0006344839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3569378,"threshold_uncertainty_score":0.8281235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5128791513176436,"score_gpt":0.5431027004990195,"score_spread":0.03022354918137593,"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."}}