{"id":"W4416379810","doi":"10.5539/ibr.v18n6p46","title":"Linking Supply Chain Gaps to Consumer Inhibitors: A Data-Driven Study of Rural E-Commerce in Saudi Arabia","year":2025,"lang":"","type":"article","venue":"International Business Research","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Rural area; Chain (unit); Geospatial analysis; Strengths and weaknesses; Key (lock)","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":[0.001653637,0.0001719848,0.0001758267,0.001049202,0.0008471136,0.001282718,0.0003807355,0.0003522337,0.001855033],"category_scores_gemma":[0.005702413,0.0002139728,0.0002517392,0.001656314,0.0005308158,0.001043883,0.0009112249,0.0004910284,0.0003469366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329224,"about_ca_system_score_gemma":0.001641791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05404937,"about_ca_topic_score_gemma":0.05366636,"domain_scores_codex":[0.9993061,0.0002815433,0.0000537423,0.00007049398,0.0001449349,0.000143171],"domain_scores_gemma":[0.99304,0.002559626,0.002353812,0.0002455019,0.001355267,0.0004457853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007472824,0.0002512605,0.9727561,0.00005977997,0.00002921779,0.0002566135,0.01910217,0.0001566801,0.0002667669,0.0002462839,0.0002099006,0.006590576],"study_design_scores_gemma":[0.000007869289,0.0002813921,0.8684976,0.00006649749,0.00002747624,0.0002329923,0.1272512,0.00135488,0.0002919575,0.0001378186,0.001836652,0.00001377994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996247,0.00001736944,0.0000350775,0.00004321806,3.049176e-7,0.000005550735,0.00006778476,4.527546e-7,0.0002053833],"genre_scores_gemma":[0.999542,0.00005115438,0.0001011711,0.00002790027,8.548114e-7,0.000007249293,0.00009194671,8.998994e-7,0.0001767979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05404937,"threshold_uncertainty_score":0.1074696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09017728941901891,"score_gpt":0.3520148303225944,"score_spread":0.2618375409035755,"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."}}