{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001799468,0.0001471314,0.0004326393,0.0005844148,0.00109053,0.002310067,0.0006250386,0.0009209829,0.01541205],"category_scores_gemma":[0.0118801,0.0001407637,0.0003637479,0.0008131856,0.0009666862,0.001774743,0.001779185,0.001472128,0.001241505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119111,"about_ca_system_score_gemma":0.0009962295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005712693,"about_ca_topic_score_gemma":0.01347686,"domain_scores_codex":[0.9986738,0.0005297872,0.00004519009,0.0002134528,0.000218249,0.0003195637],"domain_scores_gemma":[0.9928136,0.002564175,0.002511365,0.0006300535,0.0002644961,0.001216323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001302092,0.002287786,0.7357495,0.0003210836,0.0002331431,0.0004917762,0.005683157,0.002406568,0.002522106,0.03067512,0.01518533,0.2031422],"study_design_scores_gemma":[0.0002580803,0.0007997257,0.919768,0.0001745353,0.0001774171,0.0002022414,0.008901558,0.01074119,0.001304065,0.03151464,0.02609087,0.00006770375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746124,0.0002998403,0.003093227,0.004010786,0.00007143061,0.00009856926,0.0008782945,0.00006081497,0.01687458],"genre_scores_gemma":[0.9967264,0.00006597325,0.0005423995,0.0003068695,0.00003930141,0.00004349008,0.0001746908,0.000006692255,0.002094223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01541205,"threshold_uncertainty_score":0.05155849,"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."}}