{"id":"W3198472226","doi":"10.5267/j.uscm.2021.8.007","title":"The effect of supply chain management on multi-channel retaining and business performance","year":2021,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Supply chain; Supply chain management; Channel (broadcasting); Industrial organization; Investment (military); Value (mathematics); Marketing; Computer science; Telecommunications","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":[0.002320057,0.0002445819,0.0001382727,0.0005990495,0.0005565741,0.001950707,0.0002556332,0.0003919975,0.002800445],"category_scores_gemma":[0.009875779,0.00008818873,0.0002379091,0.0009387102,0.0004743749,0.001490669,0.0009819799,0.0004949251,0.0002827944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319918,"about_ca_system_score_gemma":0.001324911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344105,"about_ca_topic_score_gemma":0.004041967,"domain_scores_codex":[0.9984669,0.0006257616,0.00009908845,0.000112549,0.0003642983,0.0003313897],"domain_scores_gemma":[0.9832131,0.007903236,0.004471556,0.0005864158,0.002153966,0.001671766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005915312,0.0007017857,0.8527312,0.0001128158,0.0001344576,0.0004294482,0.0009790218,0.03060444,0.002810711,0.002016215,0.000541928,0.1083464],"study_design_scores_gemma":[0.00002911237,0.003429511,0.894062,0.0001383422,0.0001557888,0.000348852,0.01007846,0.07905586,0.005943356,0.004014455,0.002671316,0.00007298373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950976,0.0001083826,0.0007767295,0.0001846112,0.000005932302,0.0000153271,0.00002577877,0.0000109816,0.003774686],"genre_scores_gemma":[0.9995162,0.00003529371,0.0001631728,0.000005249445,0.000002674563,0.000002337461,0.00001320138,0.000001012887,0.0002609701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003344105,"threshold_uncertainty_score":0.01226974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136776565660458,"score_gpt":0.2233308005853896,"score_spread":0.211963034928785,"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."}}