{"id":"W4353029243","doi":"10.1080/23311975.2023.2191304","title":"Digital capital and food agricultural SMEs: Examining the effects on SME performance, inequalities and government role","year":2023,"lang":"en","type":"article","venue":"Cogent Business & Management","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Business; Government (linguistics); Capital (architecture); Agriculture; Marketing; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001838013,0.0002893116,0.0002145771,0.0001123898,0.0003051444,0.001963903,0.0001938618,0.00003843911,0.000009949798],"category_scores_gemma":[0.00002569255,0.0001917954,0.00003727686,0.0003699819,0.00006637468,0.002714592,0.0007503574,0.00007123985,0.0001694467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000497926,"about_ca_system_score_gemma":0.000003170739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001591008,"about_ca_topic_score_gemma":0.0000125648,"domain_scores_codex":[0.9986799,0.000001515693,0.0002531871,0.0003624699,0.0003150714,0.0003878685],"domain_scores_gemma":[0.9995298,0.00006626577,0.0001361813,0.0002066207,0.00003773101,0.00002342192],"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":[0.0001274814,0.0001890385,0.06137872,0.003734532,0.0005635974,0.00004500651,0.0006547021,0.000615933,0.00007146268,0.1022006,0.004753628,0.8256653],"study_design_scores_gemma":[0.000924618,0.000070045,0.9656324,0.0002209492,0.00009040473,0.000003567505,0.01102266,0.001067576,0.00002079383,0.00205211,0.01839848,0.0004963771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564632,0.00007866822,0.000003285892,0.0002143489,0.0003969681,0.0004818863,0.00000912386,0.0001518739,0.04220071],"genre_scores_gemma":[0.997175,0.0002573086,0.000004763162,0.0004964711,0.0003939634,0.00009187827,0.00008309659,0.00002865815,0.001468873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9042537,"threshold_uncertainty_score":0.9990721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369856749650199,"score_gpt":0.1681302729934413,"score_spread":0.1544317054969393,"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."}}