{"id":"W2979336434","doi":"10.5430/jbar.v8n2p15","title":"The Impact of Trust on Performance in a Supply Chain: Bridging the Gap Between Reliability and Power","year":2019,"lang":"en","type":"article","venue":"Journal of Business Administration Research","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Supply chain; Reliability (semiconductor); Reputation; Process (computing); Bridge (graph theory); Computer science; Globe; Power (physics); Risk analysis (engineering); Business; Process management; Marketing; Computer security; Psychology","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":[0.006881063,0.0003184033,0.0003929306,0.001598341,0.002090789,0.006455086,0.0005634049,0.001063436,0.003562377],"category_scores_gemma":[0.04935348,0.0002281118,0.0004191104,0.001746441,0.003894402,0.005889656,0.003955174,0.00169937,0.000371301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005053259,"about_ca_system_score_gemma":0.003761122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009832321,"about_ca_topic_score_gemma":0.006875027,"domain_scores_codex":[0.9903196,0.005248841,0.0005626772,0.0004306817,0.002029555,0.001408658],"domain_scores_gemma":[0.912971,0.04710327,0.01745762,0.003386812,0.01256171,0.006519596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001061459,0.0008984228,0.6905895,0.0005983913,0.0006683292,0.001627999,0.03761833,0.02794611,0.001905436,0.1016301,0.00282861,0.1326273],"study_design_scores_gemma":[0.000103932,0.002861113,0.7253506,0.001540922,0.0006633702,0.001004947,0.08505879,0.06372317,0.003698645,0.09861399,0.01699965,0.0003808866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461679,0.0007217226,0.008130103,0.005470576,0.00005944797,0.00006964677,0.00006724733,0.00003312832,0.03928031],"genre_scores_gemma":[0.9994013,0.00008847316,0.0002460451,0.00002364247,0.000006505302,0.000003747917,0.000005412514,0.000002450242,0.0002223038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009832321,"threshold_uncertainty_score":0.03666419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407612465073947,"score_gpt":0.336946211970589,"score_spread":0.2961849654631943,"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."}}