{"id":"W4383065649","doi":"10.5539/sar.v12n2p16","title":"Supply-Side Interventions in Cocoa Production in Ghana: A Regional Decomposition of Technical Efficiency and Technological Gaps","year":2023,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Cocoa and Sweet Potato Agronomy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agricultural science; Production (economics); Productivity; Production–possibility frontier; Agricultural economics; Business; Agriculture; Pruning; Frontier; Revenue; Agroforestry; Geography; Economics; Environmental science; Agronomy; Economic growth","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":[0.001409634,0.0002248143,0.0003965283,0.0009912527,0.0002031453,0.0007627106,0.0002979312,0.0002892615,0.001234384],"category_scores_gemma":[0.004400591,0.0001746697,0.0003498043,0.002214779,0.0005109833,0.0006940441,0.0008463911,0.000264417,0.0001088523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482327,"about_ca_system_score_gemma":0.0008873571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894605,"about_ca_topic_score_gemma":0.02121381,"domain_scores_codex":[0.998975,0.0005016863,0.00005426724,0.00010847,0.000150756,0.0002097022],"domain_scores_gemma":[0.9955906,0.001951707,0.001839755,0.0001543001,0.0003280271,0.0001357485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003436516,0.0001308357,0.9522009,0.0003798095,0.0002346146,0.0006407177,0.001969239,0.009059815,0.002675625,0.001957385,0.0002027564,0.03020474],"study_design_scores_gemma":[0.000009289453,0.0001170865,0.9932945,0.00008105006,0.00005764371,0.00009802879,0.002260377,0.002528577,0.0003218679,0.0003027801,0.0009242095,0.0000045845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978063,0.0005577012,0.0003027628,0.0001238225,8.516238e-7,0.0000148552,0.0001744804,0.000003393445,0.001015978],"genre_scores_gemma":[0.999431,0.0001675394,0.0001717031,0.000008272508,0.000001457654,0.00001109999,0.00007331424,0.000001311655,0.0001343266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01894605,"threshold_uncertainty_score":0.03767157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04181035991366013,"score_gpt":0.3359036978111966,"score_spread":0.2940933378975365,"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."}}