{"id":"W4399988723","doi":"10.1016/j.agsy.2024.104032","title":"Dynamic evaluation of agricultural research for development supports innovation and responsible scaling through high-level inclusion","year":2024,"lang":"en","type":"article","venue":"Agricultural Systems","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre; Impact","funders":"","keywords":"Inclusion (mineral); Scaling; Agriculture; Computer science; Regional science; Sociology; Social science; Geography; Mathematics","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":[0.004849831,0.0001694017,0.0002211124,0.0003505017,0.0006606343,0.0003944089,0.0001282805,0.0001193081,0.00002751559],"category_scores_gemma":[0.000168257,0.0001098992,0.00003210495,0.00131258,0.00004018993,0.001098678,0.0003059162,0.0001286926,0.00004101158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004514333,"about_ca_system_score_gemma":0.0001653501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002716642,"about_ca_topic_score_gemma":0.00005340304,"domain_scores_codex":[0.9978604,0.00005125657,0.0007353979,0.0003524587,0.0007241297,0.0002763418],"domain_scores_gemma":[0.9973429,0.0001053262,0.0002190907,0.00008977933,0.002234467,0.000008412651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007585166,0.0001543957,0.001189489,0.003109623,0.0003047984,0.000002655541,0.006172773,0.0008881317,0.06607771,0.843753,0.04042426,0.03784727],"study_design_scores_gemma":[0.002504977,0.00006336084,0.7991054,0.002192821,0.0001790558,0.00002555792,0.02221927,0.02015337,0.0045737,0.01655375,0.1311326,0.001296085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932668,0.0002813495,0.0003891422,0.001411488,0.001380788,0.001325799,0.000007254937,0.00008341614,0.001853962],"genre_scores_gemma":[0.9960533,0.000005078372,0.001199335,0.00004690838,0.0003384348,0.0002543191,0.0006858794,0.00001343604,0.001403305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8271993,"threshold_uncertainty_score":0.5081131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050761484299533,"score_gpt":0.346705056156076,"score_spread":0.2416289077261227,"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."}}