{"id":"W2163528872","doi":"10.1287/isre.1060.0107","title":"Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites","year":2006,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":501,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; Amazon Catalyst","keywords":"Context (archaeology); Test (biology); Outcome (game theory); User-generated content; Empirical research; Causal inference; Consumer behaviour; Social commerce; Marketing; Empirical evidence; Social media; Advertising; Business; Computer science; World Wide Web; Economics; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02736279,0.0000498544,0.0001518233,0.000370173,0.0008534247,0.0002003576,0.0002669879,0.00007834564,0.000027824],"category_scores_gemma":[0.01045156,0.00003636453,0.00002972333,0.001235262,0.001025426,0.0006607022,0.00006118874,0.0002896023,0.0001662069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009514497,"about_ca_system_score_gemma":0.0003584012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008386258,"about_ca_topic_score_gemma":0.0004764091,"domain_scores_codex":[0.9944366,0.0029405,0.0006287787,0.00007844628,0.001642439,0.0002732149],"domain_scores_gemma":[0.9924864,0.004762183,0.0001963591,0.0002134827,0.002285878,0.00005576597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008801094,0.0001861956,0.01218048,0.0008459275,0.0000316412,3.036369e-7,0.07584559,0.0007621563,0.000481368,0.572286,0.1656938,0.1715985],"study_design_scores_gemma":[0.0002156576,0.00008705734,0.02231447,0.000805631,0.000004401129,4.44238e-7,0.02816881,0.0001819415,0.00007308697,0.001865429,0.946201,0.00008213963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.521824,0.0008837462,0.00002434121,0.003603184,0.0001740706,0.001910801,0.00005476747,0.00002229891,0.4715028],"genre_scores_gemma":[0.9975,0.0008878823,0.0000274898,0.00001290112,0.00007193648,0.0001375065,0.0000123562,0.000002807522,0.001347111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7805071,"threshold_uncertainty_score":0.998217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1537588018667078,"score_gpt":0.5024805639840547,"score_spread":0.348721762117347,"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."}}