{"id":"W2042666463","doi":"10.1080/00207543.2014.986302","title":"Cash flow risk in dual-channel supply chain","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Cash flow; Supply chain; Business; Dual (grammatical number); Operating cash flow; Channel (broadcasting); Payment; Cash management; Finance; Supply chain risk management; Supply chain management; Computer science; Service management; Telecommunications; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006661797,0.0001036453,0.0001491452,0.001797548,0.0001068452,0.0002769496,0.0003791538,0.00004366688,0.0004707069],"category_scores_gemma":[0.002110042,0.00009301126,0.0000864,0.0005064637,0.00008383155,0.001025706,0.0002204052,0.000526407,0.0002297695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734152,"about_ca_system_score_gemma":0.00003328869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004223518,"about_ca_topic_score_gemma":0.0001657767,"domain_scores_codex":[0.9974737,0.0001279369,0.0004760493,0.0002285468,0.00142236,0.0002714632],"domain_scores_gemma":[0.9979184,0.00007258148,0.0002981605,0.0001736108,0.00151528,0.00002195847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001609327,0.00197402,0.1069516,0.0002686088,0.0005554272,0.0006765205,0.001495954,0.0554073,0.002660057,0.04937337,0.5715194,0.2075084],"study_design_scores_gemma":[0.002516733,0.0001249839,0.04850028,0.000318228,0.00002514555,0.0001122726,0.001764412,0.04949625,0.0008486951,0.0459011,0.8500472,0.0003447317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115574,0.0001937511,0.001861642,0.05247391,0.0122316,0.0005133461,0.00000377174,0.00004674045,0.02111789],"genre_scores_gemma":[0.9885446,0.0001138311,0.0001939232,0.0003584264,0.009071328,0.00001093987,0.000007795787,0.00001796124,0.001681199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2785278,"threshold_uncertainty_score":0.515391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05749165306409686,"score_gpt":0.3284308399714743,"score_spread":0.2709391869073774,"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."}}