{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001852476,0.0001007147,0.000140094,0.00001476128,0.0003675878,0.000235969,0.0000803221,0.0001109813,0.0001576926],"category_scores_gemma":[0.000107005,0.00008341217,0.00003238913,0.0001409539,0.0007106315,0.0001458121,0.0000572141,0.00008917998,0.000009731292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001581185,"about_ca_system_score_gemma":0.00005378227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003024374,"about_ca_topic_score_gemma":0.0003959347,"domain_scores_codex":[0.9991575,0.00002761553,0.00009430398,0.0002060324,0.0001553112,0.0003592267],"domain_scores_gemma":[0.9995047,0.00001707194,0.00003322549,0.0000449053,0.00005319262,0.0003468633],"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":[0.00002510623,0.000008532883,0.003694688,0.00001596046,0.00003655367,0.00001207244,0.2837182,6.062272e-7,0.0001872787,0.02968713,0.05173831,0.6308756],"study_design_scores_gemma":[0.000187299,0.00006037978,0.00238916,0.00003759029,0.0000133631,0.000004685253,0.02977441,0.000005783441,0.000006967109,0.00192995,0.9654305,0.0001599307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5200077,0.001172435,0.00007515943,0.003200767,0.0006079689,0.0002902673,0.00002596927,0.0000840363,0.4745357],"genre_scores_gemma":[0.9814921,0.0001633716,0.0003712773,0.00224574,0.001843669,0.000006843879,0.000002224677,0.000007889342,0.01386691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9136922,"threshold_uncertainty_score":0.340145,"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."}}