{"id":"W4388551269","doi":"10.18280/ijdne.180514","title":"Analysis of Scientific Contributions to Agricultural Development and Food Security in Ecuador","year":2023,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Agriculture; Agricultural development; Engineering; Business; Geography","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008427059,0.0003755956,0.0008201954,0.069136,0.001043649,0.003826686,0.0005096622,0.0004899335,0.001937648],"category_scores_gemma":[0.03224518,0.0002207145,0.0004637385,0.0940878,0.0008250283,0.002000282,0.001948694,0.0002804692,0.0001342788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003919319,"about_ca_system_score_gemma":0.007550274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273431,"about_ca_topic_score_gemma":0.01267551,"domain_scores_codex":[0.9945436,0.001322032,0.001723088,0.0004113139,0.001743421,0.0002565224],"domain_scores_gemma":[0.966431,0.02026766,0.00745744,0.000525969,0.00500304,0.0003150604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004167373,0.0001227958,0.2439445,0.1143055,0.002188934,0.004973521,0.05459223,0.00132826,0.00334728,0.01123341,0.01482333,0.5487235],"study_design_scores_gemma":[0.00004537653,0.0001584026,0.7189639,0.03586826,0.002872977,0.001610243,0.05605341,0.0009147532,0.001899007,0.002116637,0.1794147,0.00008230549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5312645,0.4270429,0.0008553487,0.004886174,0.0002203395,0.0002963508,0.01250016,0.00005530333,0.02287881],"genre_scores_gemma":[0.7968485,0.1920738,0.002710385,0.0003771057,0.0002334601,0.0003785571,0.005962862,0.00001976452,0.001395603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.930864,"threshold_uncertainty_score":0.04456705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673969032377752,"score_gpt":0.2399936822078971,"score_spread":0.2232539918841196,"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."}}