{"id":"W7126182527","doi":"10.46254/wc02.20250223","title":"Freemium Pricing and CRM Expenditures by a Digital Platform","year":2025,"lang":"","type":"article","venue":"","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Profitability index; Loyalty; Quality (philosophy); Dynamic pricing; Customer base; Markov process; Customer retention; Hidden Markov model","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":[0.001434611,0.0003317777,0.0003311675,0.0007359606,0.0005386824,0.003009373,0.001049255,0.001312296,0.01419682],"category_scores_gemma":[0.007565568,0.0003168176,0.0005073023,0.0008180887,0.00106886,0.005112842,0.001269166,0.001539228,0.001007997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002508185,"about_ca_system_score_gemma":0.0009405419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002568295,"about_ca_topic_score_gemma":0.003186007,"domain_scores_codex":[0.9993561,0.0001646254,0.00002573173,0.0001039975,0.0001359692,0.0002136598],"domain_scores_gemma":[0.9950388,0.002777932,0.001107044,0.0003174464,0.0002859753,0.0004727087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006627875,0.0007905392,0.0668386,0.0001323672,0.00008874723,0.0006743863,0.0007343217,0.2472964,0.004849092,0.5922394,0.006371343,0.07932207],"study_design_scores_gemma":[0.00008432603,0.0004927829,0.06246939,0.0001012246,0.0001329298,0.0005736093,0.001165317,0.7133716,0.003218298,0.2091977,0.009099221,0.0000936232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976737,0.0002700565,0.03292022,0.001565184,0.0000304185,0.00007835645,0.0003773935,0.0001588383,0.06692577],"genre_scores_gemma":[0.994149,0.00007306594,0.0009895758,0.00003046358,0.00001286262,0.00001326267,0.0000492067,0.000009786477,0.004672856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01419682,"threshold_uncertainty_score":0.0474931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006916621757848043,"score_gpt":0.1900866647493733,"score_spread":0.1831700429915253,"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."}}