{"id":"W4297359984","doi":"10.5539/jsd.v15n6p1","title":"Economic Implications of Environmentally Smart System of Rice Intensification in Nigeria","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"London South Bank University","keywords":"Agriculture; Business; Participatory action research; Greenhouse gas; Environmentally friendly; Profit (economics); Profit margin; Citizen journalism; Greenhouse; Focus group; Agricultural science; Marketing; Geography; Economic growth; Environmental science; Economics; Political science; Ecology; Agronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005200322,0.0001060157,0.00007717031,0.0002718789,0.0007647069,0.001405656,0.0001055307,0.000262695,0.002568512],"category_scores_gemma":[0.0005884385,0.00007388174,0.00008513533,0.0003328384,0.0005503367,0.0007479938,0.0008535514,0.0003168281,0.0001031472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603476,"about_ca_system_score_gemma":0.00147929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089986,"about_ca_topic_score_gemma":0.009572107,"domain_scores_codex":[0.9997552,0.00009147359,0.00001017105,0.00001697992,0.00004493469,0.00008133255],"domain_scores_gemma":[0.9996482,0.0001230159,0.00009499545,0.00001221581,0.00005619562,0.00006531738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001471953,0.001231886,0.3748823,0.002006693,0.0001113547,0.02015629,0.03363018,0.02018853,0.03876257,0.2302365,0.007390028,0.2699317],"study_design_scores_gemma":[0.00006307979,0.001037192,0.6491673,0.00117916,0.0001144383,0.002878734,0.196309,0.01036001,0.01453864,0.02737689,0.09689465,0.00008090612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640433,0.0004947028,0.0004270523,0.001400757,0.00002105558,0.00004293516,0.00004402759,0.000003063854,0.0335231],"genre_scores_gemma":[0.9971335,0.0004824763,0.000322944,0.00004288085,0.000002864748,0.000008938292,0.000009670849,7.234719e-7,0.001995972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003089986,"threshold_uncertainty_score":0.01163405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009415115628761897,"score_gpt":0.2314949474017897,"score_spread":0.2220798317730278,"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."}}