{"id":"W1585721900","doi":"10.2139/ssrn.1105956","title":"Tall Heads vs. Long Tails: Do Consumer Reviews Increase the Informational Inequality Between Hit and Niche Products?","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Popularity; Long tail; Population; Advertising; Product (mathematics); Revenue; Gini coefficient; Mainstream; Sample (material); Marketing; The Internet; Business; Inequality; Psychology; Sociology; Computer science; World Wide Web; Political science; Economic inequality; Statistics; Social psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02936669,0.0001435603,0.0002619269,0.00006509119,0.0009681184,0.0002877382,0.000333405,0.0001063167,0.00002619101],"category_scores_gemma":[0.004936173,0.0001018068,0.00008586929,0.0003634738,0.000423227,0.0005383742,0.00005779348,0.001336376,0.00003055782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005384338,"about_ca_system_score_gemma":0.002175133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006763756,"about_ca_topic_score_gemma":0.004946058,"domain_scores_codex":[0.9965287,0.0005537635,0.0005583529,0.000158014,0.0005871027,0.001614108],"domain_scores_gemma":[0.9985307,0.0005714292,0.0003485041,0.0001393214,0.0002019453,0.00020803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001113966,0.0000665808,0.3991868,0.0000439724,0.0001392295,0.000003227492,0.01048884,3.810045e-7,0.000004522119,0.1714956,0.002103403,0.4163561],"study_design_scores_gemma":[0.0009942657,0.0002400315,0.1843155,0.0001683888,0.000147875,0.00007940173,0.01977,0.000001484252,0.00001273291,0.1984309,0.5952433,0.0005960693],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615698,0.01218223,0.0003018635,0.00580217,0.000252471,0.0004326461,0.000005115544,0.00004065072,0.019413],"genre_scores_gemma":[0.9872193,0.0100659,0.00004156117,0.000326527,0.001217993,0.000005494124,0.000007276261,0.000009746926,0.001106155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5931399,"threshold_uncertainty_score":0.9994712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227353005850014,"score_gpt":0.3143886225048192,"score_spread":0.2916533219198179,"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."}}