{"id":"W3123431449","doi":"10.2139/ssrn.3250189","title":"How Do Product Attributes Moderate the Impact of Recommender Systems?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Recommender system; Product (mathematics); Computer science; Business; Information retrieval; Mathematics","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":[0.00529473,0.0003282101,0.0006329007,0.0006905062,0.0007051925,0.003750923,0.000497733,0.002277258,0.006920593],"category_scores_gemma":[0.04737703,0.0004046635,0.0007558726,0.0007614125,0.0006287693,0.002757449,0.0006789957,0.00167332,0.001705934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005255728,"about_ca_system_score_gemma":0.0005086091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004088075,"about_ca_topic_score_gemma":0.005786673,"domain_scores_codex":[0.99729,0.001475948,0.0001521617,0.000377681,0.0004751206,0.0002291275],"domain_scores_gemma":[0.9253863,0.05818435,0.005803031,0.003558597,0.003068183,0.003999632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003716908,0.002982778,0.9149308,0.0003993658,0.001745781,0.000194158,0.001325712,0.002032677,0.006075027,0.002042772,0.003044717,0.06150931],"study_design_scores_gemma":[0.0002016428,0.001228163,0.9817874,0.00006401125,0.0008463592,0.0001336465,0.001091177,0.005695017,0.001439018,0.003613571,0.003830141,0.0000697494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897399,0.0008158067,0.0005391104,0.0009622615,0.00007517439,0.00003027132,0.0002403383,0.00002862622,0.007568595],"genre_scores_gemma":[0.9969447,0.0002599295,0.0004763212,0.0002212976,0.00006759013,0.00001089481,0.0001622707,0.00001653337,0.001840478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006920593,"threshold_uncertainty_score":0.02800155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337078274147294,"score_gpt":0.3055913003380438,"score_spread":0.2822205175965709,"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."}}