{"id":"W2969970279","doi":"","title":"Product Set Granularity and Consumer Response to Recommendations","year":2019,"lang":"en","type":"article","venue":"Monash University Research Portal (Monash University)","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Network for Studies on Pensions, Aging and Retirement","keywords":"Granularity; Attractiveness; Product (mathematics); Computer science; Set (abstract data type); Marketing; Business; Mathematics; Psychology","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":[0.002920296,0.0002343391,0.0002730206,0.0005681693,0.0004036654,0.001702008,0.0002793214,0.0007445943,0.007856918],"category_scores_gemma":[0.02469561,0.0002898891,0.0002875945,0.0004517006,0.0003855053,0.001056834,0.0007125431,0.000990734,0.0007703127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005466681,"about_ca_system_score_gemma":0.0002129706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002466832,"about_ca_topic_score_gemma":0.002117028,"domain_scores_codex":[0.9978605,0.001037834,0.0001209984,0.0002643634,0.0006053139,0.0001109469],"domain_scores_gemma":[0.9752252,0.01808601,0.00354092,0.00121479,0.001076024,0.000856992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004903006,0.003321961,0.7531898,0.0005702263,0.0004824601,0.0003644034,0.01500224,0.004590503,0.03434316,0.005062643,0.003705755,0.1744638],"study_design_scores_gemma":[0.0001241794,0.0009277587,0.9805579,0.0000538015,0.00008979561,0.0001576571,0.003716298,0.005680859,0.001756887,0.003465077,0.003391106,0.00007856522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895681,0.000141128,0.00116986,0.0002422044,0.00001157067,0.00005234287,0.00005913647,0.00003258767,0.008723184],"genre_scores_gemma":[0.9961712,0.0001004891,0.001889772,0.0001325282,0.00001461841,0.0000411969,0.0001045596,0.00001845925,0.001527115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007856918,"threshold_uncertainty_score":0.02628398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06019082663323525,"score_gpt":0.2871736970168775,"score_spread":0.2269828703836423,"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."}}