{"id":"W4414318190","doi":"10.1139/gen-2025-0023","title":"Towards a more pluralistic approach to evaluating the farm-level impacts of new breeding technologies in sub-Saharan Africa","year":2025,"lang":"en","type":"article","venue":"Genome","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Dalhousie University","funders":"","keywords":"Underpinning; Scholarship; Agriculture; Scale (ratio); Complement (music); Impact assessment; Yield (engineering); Profit (economics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05216101,0.0007636542,0.001251053,0.005091572,0.001480227,0.01000822,0.001268288,0.001338413,0.001534073],"category_scores_gemma":[0.05948874,0.0003615599,0.0006072714,0.003599472,0.006233093,0.006190414,0.00505996,0.003167963,0.0001344463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004536702,"about_ca_system_score_gemma":0.004159711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004339293,"about_ca_topic_score_gemma":0.006178676,"domain_scores_codex":[0.9743385,0.0209056,0.0008663841,0.0007001948,0.00277134,0.0004180109],"domain_scores_gemma":[0.9618853,0.02892007,0.003650455,0.001461352,0.00357363,0.0005091959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002861507,0.0003205799,0.04414175,0.00222978,0.0008594256,0.0008452006,0.01789165,0.08716474,0.00759678,0.4306914,0.002605451,0.405367],"study_design_scores_gemma":[0.0000854274,0.0007873804,0.0479509,0.003934826,0.0004460432,0.0003985889,0.04075648,0.05630152,0.005727415,0.7764085,0.06701637,0.0001865113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4100166,0.01797383,0.4371901,0.05789002,0.0003326536,0.0006769485,0.0003906862,0.0002181947,0.07531083],"genre_scores_gemma":[0.905947,0.005676284,0.08557584,0.001413562,0.0001241738,0.0001878292,0.00003458566,0.00003578013,0.001004885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05216101,"threshold_uncertainty_score":0.2758571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1442714329857341,"score_gpt":0.325794619938395,"score_spread":0.1815231869526609,"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."}}