{"id":"W4394745903","doi":"10.1016/j.jretconser.2024.103838","title":"Product assortment and online sales in community group-buying channel: Evidence from a convenience store chain","year":2024,"lang":"en","type":"article","venue":"Journal of Retailing and Consumer Services","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Science Foundation of Beijing Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Perishability; Product (mathematics); Business; Group buying; Revenue; Marketing; Order (exchange)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0013875,0.0004115439,0.0003945582,0.001805961,0.00172128,0.002452358,0.001072224,0.001347188,0.015602],"category_scores_gemma":[0.006689048,0.0005870138,0.000775863,0.002367469,0.002199625,0.002474247,0.001743429,0.001363299,0.001915499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007603615,"about_ca_system_score_gemma":0.0008017611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04834431,"about_ca_topic_score_gemma":0.06823693,"domain_scores_codex":[0.9990426,0.0002940269,0.00005927168,0.0002029683,0.0001952163,0.0002058836],"domain_scores_gemma":[0.9856693,0.00568496,0.004551826,0.000848357,0.001550629,0.001694914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007478876,0.0008488767,0.9929403,0.00003788397,0.0001570388,0.0002363446,0.001679931,0.00005298287,0.0002249131,0.0002002812,0.0001459278,0.002727664],"study_design_scores_gemma":[0.00003703475,0.0003937414,0.9901378,0.00007067891,0.0002343945,0.0001586327,0.007738218,0.0003776206,0.0001649141,0.000233711,0.0004297394,0.00002347964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990018,0.00009829846,0.00002769647,0.00003226741,0.000002410333,0.000006714182,0.00007458637,0.000001274642,0.0007550539],"genre_scores_gemma":[0.9986677,0.000138934,0.00005506783,0.00003742865,0.00000765711,0.000006134101,0.0002121355,0.000003416249,0.0008716088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04834431,"threshold_uncertainty_score":0.09612584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566859535094859,"score_gpt":0.3140643977832976,"score_spread":0.278395802432349,"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."}}