{"id":"W2603982726","doi":"10.25300/misq/2018/13592","title":"Monetizing Freemium Communities: Does Paying For Premium Increase Social Engagement?1","year":2018,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Business; Marketing; Price premium; Baseline (sea); Advertising; Economics; Willingness to pay; Microeconomics; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006070898,0.0003006594,0.0002893778,0.0002268965,0.001042963,0.0008780174,0.0005513365,0.0001132037,0.0002201286],"category_scores_gemma":[0.0000931896,0.0002741427,0.0001510534,0.0003045639,0.0002229193,0.001598478,0.0001121761,0.0002197169,0.0002647908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006660355,"about_ca_system_score_gemma":0.00002161767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002093757,"about_ca_topic_score_gemma":0.001166729,"domain_scores_codex":[0.9984407,0.00002392907,0.0004055672,0.0003187937,0.0002134611,0.0005975849],"domain_scores_gemma":[0.9989705,0.0001357252,0.0002906247,0.0003517956,0.0002323837,0.00001893481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001636345,0.001593705,0.09723187,0.005261262,0.0006629648,0.00006875518,0.04758214,0.000004916662,0.04246098,0.1790265,0.3667883,0.2576823],"study_design_scores_gemma":[0.003947103,0.0005837883,0.0216517,0.0005340279,0.0002488746,0.000005571409,0.03831435,0.005546864,0.001991445,0.03746817,0.8874649,0.002243202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446828,0.00004013621,0.005377714,0.000735536,0.0007725257,0.0006459907,0.00004468668,0.0004731381,0.04722746],"genre_scores_gemma":[0.9942638,8.214715e-7,0.0006531327,0.001263836,0.002707287,0.0001287375,0.000091155,0.00007164398,0.0008196125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5206766,"threshold_uncertainty_score":0.9999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929572346600199,"score_gpt":0.2496536582993132,"score_spread":0.2203579348333112,"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."}}