{"id":"W4401504815","doi":"10.2139/ssrn.4910159","title":"Netvendor: Newsvendor Selling to a Social Network","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Newsvendor model; Business; Computer science; Commerce; Marketing; Supply chain","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007202475,0.0009995678,0.0005902931,0.001474954,0.0007836164,0.003758681,0.0012879,0.001942967,0.08038545],"category_scores_gemma":[0.003837282,0.0004529212,0.0004409086,0.001831519,0.0005326909,0.005271088,0.00198082,0.001341478,0.02326749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003966996,"about_ca_system_score_gemma":0.0005564152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256766,"about_ca_topic_score_gemma":0.001796379,"domain_scores_codex":[0.9995166,0.0001087818,0.00002697324,0.00007448559,0.0002100325,0.00006316634],"domain_scores_gemma":[0.998849,0.0004445829,0.00006953844,0.0002809061,0.0001587005,0.0001971642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008359954,0.0004095011,0.00212408,0.000675651,0.00008057113,0.001202316,0.0006192204,0.005879899,0.005636462,0.1374278,0.667256,0.1778525],"study_design_scores_gemma":[0.000367044,0.0001702267,0.001966419,0.0001634162,0.00008544872,0.001589716,0.000321768,0.06259458,0.01441689,0.09365748,0.8245833,0.00008377233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06509221,0.002995606,0.2136397,0.005980756,0.002999249,0.0007333686,0.0460102,0.1367704,0.5257786],"genre_scores_gemma":[0.339404,0.004126724,0.08181632,0.001019555,0.00135462,0.0008005897,0.08656892,0.02461311,0.4602961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08038545,"threshold_uncertainty_score":0.2689161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523349248838443,"score_gpt":0.3055031571160406,"score_spread":0.2902696646276562,"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."}}