{"id":"W4388591504","doi":"10.1016/j.im.2023.103885","title":"The platform's store-brand supplier selection and quality information provision decisions","year":2023,"lang":"en","type":"article","venue":"Information & Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; Dalhousie University","funders":"National Social Science Fund of China; Natural Sciences and Engineering Research Council of Canada; National Office for Philosophy and Social Sciences","keywords":"Product (mathematics); Competition (biology); Business; Quality (philosophy); Incentive; Selection (genetic algorithm); Marketing; Industrial organization; Advertising; Microeconomics; Computer science; Economics; Mathematics","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":[0.001775302,0.0001817521,0.0002212398,0.00108855,0.0006143806,0.004571349,0.0003440646,0.001068473,0.02589672],"category_scores_gemma":[0.007898035,0.0003288588,0.0004611278,0.0006138436,0.0004068606,0.002890672,0.0008981618,0.0007151841,0.002056401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285165,"about_ca_system_score_gemma":0.0008491061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00694717,"about_ca_topic_score_gemma":0.01381425,"domain_scores_codex":[0.9994721,0.0001387279,0.00002452969,0.00006591273,0.0001693778,0.0001293202],"domain_scores_gemma":[0.9955296,0.00282243,0.0004918755,0.0001430768,0.0005033888,0.0005095385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01257098,0.004222861,0.6735522,0.0004064193,0.0005255626,0.002476775,0.004647937,0.0240654,0.04064547,0.03685578,0.01192037,0.1881101],"study_design_scores_gemma":[0.0003226634,0.001965198,0.8913961,0.00006981716,0.0004646434,0.000492673,0.009060678,0.06334791,0.008441242,0.01537229,0.008946616,0.0001201005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662849,0.00008827386,0.0007538444,0.0004872912,0.00001338667,0.00003985362,0.0001506893,0.0000194137,0.03216232],"genre_scores_gemma":[0.9930427,0.00004205235,0.0002908536,0.00006138342,0.000009448511,0.000005567497,0.00007902493,0.000009810432,0.006459057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02589672,"threshold_uncertainty_score":0.08663321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871935340861411,"score_gpt":0.2664870345789736,"score_spread":0.2377676811703595,"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."}}