{"id":"W2996704998","doi":"10.2139/ssrn.3465879","title":"Peer Awards Increase User Content Generation but Reduce Content Novelty","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Content (measure theory); Novelty; User-generated content; Computer science; Internet privacy; World Wide Web; Multimedia; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004879324,0.0006060535,0.001316948,0.002553691,0.001950462,0.003232534,0.001347403,0.001633095,0.02559543],"category_scores_gemma":[0.04039929,0.0003176359,0.0008830198,0.002326546,0.0007283533,0.003694959,0.002706595,0.001370049,0.005773761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008166973,"about_ca_system_score_gemma":0.001665341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008255993,"about_ca_topic_score_gemma":0.001855731,"domain_scores_codex":[0.9938782,0.001566078,0.0003342703,0.0006102325,0.002887802,0.0007234676],"domain_scores_gemma":[0.9360373,0.02897353,0.004738392,0.007108897,0.01204851,0.01109332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0056315,0.01548673,0.1047704,0.001174928,0.0007245961,0.0007660209,0.001667842,0.004240485,0.06250307,0.01712839,0.04618885,0.7397172],"study_design_scores_gemma":[0.002761538,0.02030283,0.7111463,0.0002018644,0.001982515,0.002766778,0.004581921,0.03804991,0.0594842,0.06136179,0.09693983,0.0004205355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8965771,0.001161745,0.02295881,0.003330427,0.001347805,0.0008563731,0.0008362206,0.005470388,0.06746121],"genre_scores_gemma":[0.9683248,0.0002655066,0.008127823,0.0004132127,0.0008811887,0.0001891883,0.0003860798,0.0003647956,0.02104736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02559543,"threshold_uncertainty_score":0.08562523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395061844961971,"score_gpt":0.2337870610022862,"score_spread":0.1942808765060891,"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."}}