{"id":"W3090829189","doi":"10.5430/ijba.v11n6p1","title":"User Growth and Revenue Measurement Fundamentals for a Global Consumer Internet Business","year":2020,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"ICT Impact and Policies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Diversification (marketing strategy); The Internet; Monetization; Revenue; Marketing; Business model; Business; Industrial organization; Computer science; Economics; Finance; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001098478,0.0001109107,0.000152675,0.00004723436,0.00001734816,0.0001406244,0.0001455244,0.00004273062,0.000018175],"category_scores_gemma":[0.0002226664,0.0001042343,0.00004172544,0.000114408,0.00002945588,0.0003335008,0.00001573597,0.00005541616,0.000002338463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008947967,"about_ca_system_score_gemma":0.000105379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001585466,"about_ca_topic_score_gemma":0.00001678896,"domain_scores_codex":[0.9991699,0.00001085786,0.0003475955,0.00004526998,0.0003313393,0.00009502161],"domain_scores_gemma":[0.9988061,0.00002151033,0.0001466857,0.00003109952,0.0009140638,0.00008050135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009508988,0.00130745,0.212296,0.003894219,0.0077161,0.0004578531,0.01743218,0.01197109,0.3111555,0.0481354,0.2492885,0.1268367],"study_design_scores_gemma":[0.01231867,0.001139634,0.6561769,0.002088918,0.000501497,0.002563427,0.001403587,0.006202159,0.1176651,0.004028023,0.1942597,0.001652336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8913878,0.0007320441,0.09478094,0.01035034,0.001967342,0.0002069799,0.0002167171,0.00003775477,0.000320121],"genre_scores_gemma":[0.9984557,0.0001814675,0.000405742,0.0003483284,0.0005642928,0.000004266509,0.00001738293,0.00001203296,0.00001075765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4438809,"threshold_uncertainty_score":0.4250553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914482764553252,"score_gpt":0.2801324808364486,"score_spread":0.2409876531909161,"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."}}