{"id":"W2885275146","doi":"10.1177/1555412018791697","title":"Moving Beyond Churn: Barriers and Constraints to Playing a Social Network Game","year":2018,"lang":"en","type":"article","venue":"Games and Culture","topic":"Digital Games and Media","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Casual; Attrition; Pleasure; Incentive; Social network (sociolinguistics); Internet privacy; Computer science; Advertising; Public relations; Psychology; Social media; Business; World Wide Web; Microeconomics; Political science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004096733,0.0002267206,0.0003787576,0.0009628407,0.00304677,0.00488475,0.00111459,0.0008331704,0.003612232],"category_scores_gemma":[0.02840613,0.0004286228,0.0002369665,0.0004853663,0.002379239,0.002854337,0.002969405,0.001895187,0.0003887439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255626,"about_ca_system_score_gemma":0.001667132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081121,"about_ca_topic_score_gemma":0.02326152,"domain_scores_codex":[0.9935203,0.003317429,0.0003659733,0.0005427579,0.001154185,0.001099396],"domain_scores_gemma":[0.9810986,0.009403063,0.002911297,0.0007257477,0.001595433,0.004265885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003297569,0.001377104,0.4719324,0.0002925292,0.0001217015,0.001878069,0.4222498,0.0004247699,0.003026482,0.01271714,0.003867993,0.08178224],"study_design_scores_gemma":[0.00003504627,0.0003488496,0.3986605,0.000430857,0.00006005343,0.001355812,0.5660426,0.003644444,0.0005194567,0.005843714,0.02297391,0.00008468569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866541,0.0001292175,0.001013717,0.00103638,0.00002184069,0.0000465718,0.00002436029,0.00001131488,0.01106245],"genre_scores_gemma":[0.9983143,0.00008170801,0.0004509983,0.0001307008,0.000005914609,0.000027886,0.00001605193,0.000008473368,0.0009640093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01081121,"threshold_uncertainty_score":0.02166587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009545333716436268,"score_gpt":0.2671626669278861,"score_spread":0.2576173332114499,"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."}}