{"id":"W6997271922","doi":"","title":"Unpacking Content Contrast in Online Customer Reviews","year":2025,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Attribution; Causality (physics); Perception; Contrast (vision); Unpacking; Causal inference; Causal model; Consumer behaviour","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":[0.002488981,0.0002729821,0.0004090177,0.003105179,0.0005375932,0.002270558,0.0003102009,0.000471659,0.001645089],"category_scores_gemma":[0.03667599,0.0001882325,0.0002390731,0.002353158,0.0007250279,0.002350273,0.001128789,0.0004743153,0.0003348016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006139117,"about_ca_system_score_gemma":0.0002321384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009151332,"about_ca_topic_score_gemma":0.001844926,"domain_scores_codex":[0.9965504,0.001192363,0.0003576743,0.0006429903,0.001110516,0.0001459907],"domain_scores_gemma":[0.956242,0.02866193,0.008774692,0.001743067,0.004173553,0.0004048017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00224262,0.000251708,0.6042413,0.002137561,0.0004713005,0.001613572,0.02512801,0.003825426,0.04867107,0.009284344,0.006474628,0.2956586],"study_design_scores_gemma":[0.00003314335,0.0002861601,0.9401635,0.0002202461,0.0002050445,0.001160198,0.005408084,0.02379393,0.006750883,0.006446546,0.01541457,0.0001176941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768183,0.001597473,0.01130363,0.0002854652,0.0001497681,0.0001028748,0.0009668688,0.0002104409,0.008565207],"genre_scores_gemma":[0.9957027,0.0001484402,0.002989758,0.00005503943,0.00009488799,0.00003484787,0.0003931025,0.00004187012,0.0005393754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003105179,"threshold_uncertainty_score":0.01316315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03876696665201319,"score_gpt":0.3196364831873167,"score_spread":0.2808695165353036,"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."}}