{"id":"W1981949844","doi":"10.1080/00220388.2010.492862","title":"Cross-Country Disparity in Agricultural Productivity: Quantifying the Role of Modern Seed Adoption","year":2010,"lang":"en","type":"article","venue":"The Journal of Development Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Productivity; Green Revolution; Agriculture; Developing country; Agricultural productivity; Inequality; Economics; Agricultural economics; Agricultural biotechnology; Demographic economics; Labour economics; Development economics; Economic growth; Geography","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":[0.003216191,0.0001195402,0.0003876348,0.00009008237,0.0002144678,0.00003010729,0.0002744779,0.00004222845,0.000007324983],"category_scores_gemma":[0.0003945334,0.00006915429,0.00005524421,0.0001660851,0.0001646655,0.0003651398,0.0001087498,0.0004058432,0.000007887781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006639625,"about_ca_system_score_gemma":0.00004456461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004404367,"about_ca_topic_score_gemma":0.0003972769,"domain_scores_codex":[0.9988374,0.00003164674,0.0007551878,0.0001360248,0.00005682719,0.0001828844],"domain_scores_gemma":[0.9986858,0.0001320487,0.0008673411,0.0001746316,0.0001178085,0.00002232858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006410512,0.00008723114,0.982262,0.00003612945,0.0001683098,3.311698e-7,0.008241729,0.0001923913,0.002014264,0.004563056,0.00002279974,0.002347679],"study_design_scores_gemma":[0.0002331705,0.0000184737,0.9752132,0.00002032928,0.000008404742,0.00001656575,0.0008989907,0.00004902825,0.003283388,0.0188121,0.001344425,0.0001019816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908774,0.006676732,0.00004638389,0.000894793,0.0006740377,0.0001321079,0.000005071909,0.000003772151,0.0006896754],"genre_scores_gemma":[0.9990286,0.0003478061,0.0003542874,0.00002055843,0.0001635088,0.000004410557,6.935043e-7,0.000006049485,0.00007409804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424904,"threshold_uncertainty_score":0.282003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04557094582093087,"score_gpt":0.2596989248375607,"score_spread":0.2141279790166299,"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."}}