{"id":"W4394886775","doi":"10.5267/j.uscm.2024.3.024","title":"Brand image and customer behavior in container food courts: The role of social media content and generational differences in Indonesia","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Leverage (statistics); Marketing; Context (archaeology); Business; Advertising; Promotion (chess); Customer engagement; Content analysis; Digital media; Sociology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185147,0.0001249805,0.0002145891,0.0001774759,0.0001562482,0.000195694,0.0001377939,0.00007056945,0.00003807726],"category_scores_gemma":[0.0001045884,0.00009608641,0.00003714806,0.0002502248,0.0005234803,0.0001439991,0.0000776767,0.0001274955,0.000001310344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000812021,"about_ca_system_score_gemma":0.00005201875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007859567,"about_ca_topic_score_gemma":0.00584492,"domain_scores_codex":[0.9985476,0.0002654461,0.0002690254,0.0002422791,0.0004120559,0.0002636515],"domain_scores_gemma":[0.999252,0.0005530936,0.00004642562,0.00005796841,0.00003649027,0.00005405952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009768458,0.0001992952,0.3244291,0.0001283457,0.00008395743,0.00006747071,0.1096688,0.000002093435,0.0001491728,0.480413,0.0005673991,0.08419364],"study_design_scores_gemma":[0.001191304,0.00006865527,0.8274267,0.0001534341,0.00006611938,8.92453e-7,0.1486934,0.0003420713,0.0000168059,0.01047468,0.01124468,0.0003213368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866286,0.00116699,0.000007533905,0.002630892,0.0001867525,0.0005703914,0.00003371457,0.00002282898,0.008752305],"genre_scores_gemma":[0.9989237,0.0003184073,0.0000425993,0.00008324407,0.0001392393,0.0001786345,0.00001281129,0.00000933727,0.0002920374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5029976,"threshold_uncertainty_score":0.391829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110423269884486,"score_gpt":0.2573028838480259,"score_spread":0.236198651149181,"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."}}