{"id":"W2462925081","doi":"10.5539/sar.v5n3p93","title":"Disadoption of Improved Agronomic practices in Cowpea and Maize at Ejura-Sekyeredumase and Atebubu-Amantin Districts in Ghana","year":2016,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan International Research Center for Agricultural Sciences","keywords":"Sowing; Productivity; Production (economics); Agricultural science; Agronomy; Agriculture; Yield (engineering); Manure; Constraint (computer-aided design); Business; Geography; Mathematics; Biology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.001646022,0.0001910962,0.0002690151,0.00008950812,0.0002862118,0.0001386768,0.0002185149,0.0001923731,0.000118635],"category_scores_gemma":[0.0009829517,0.00005794564,0.00003374915,0.001575822,0.0002113111,0.001022121,0.0003855252,0.0003093179,0.000006222695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364949,"about_ca_system_score_gemma":0.00002584527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005770603,"about_ca_topic_score_gemma":0.008005016,"domain_scores_codex":[0.9977139,0.0003915518,0.0004103862,0.0005060423,0.000302987,0.0006750869],"domain_scores_gemma":[0.997767,0.001261172,0.0003490179,0.00008092846,0.000422399,0.0001194447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004582809,0.000358031,0.1611831,0.0002161678,0.000025057,0.00005809256,0.0005383191,0.000001468734,0.7957931,0.005087891,0.001584615,0.03469588],"study_design_scores_gemma":[0.0006043694,0.0003179357,0.9664309,0.00009387781,0.000007752798,0.0000218536,0.0201135,0.00001770019,0.003535694,0.0005787628,0.008039874,0.0002377741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989936,0.0008975801,5.812091e-7,0.007129704,0.00001832019,0.0006875962,0.00002442422,0.00001659205,0.001289225],"genre_scores_gemma":[0.9939149,0.001105716,0.00005561129,0.00001233858,0.00008835119,0.00007042538,0.00004425044,0.000001562025,0.004706831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8052478,"threshold_uncertainty_score":0.8723464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066468778301558,"score_gpt":0.3199514619173437,"score_spread":0.2692867741343282,"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."}}