{"id":"W3184322071","doi":"10.1057/s41270-021-00122-x","title":"Is my cross-promotion profitable? Evaluation of game-to-game cannibalization in free-to-play mobile games","year":2021,"lang":"en","type":"article","venue":"Journal of Marketing Analytics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cannibalization; Revenue; Context (archaeology); Advertising; Promotion (chess); Order (exchange); Business; Revenue model; Quality (philosophy); Marketing; Computer science; Microeconomics; Economics; Finance; Political science; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004525907,0.001194738,0.001008313,0.001056428,0.0008019399,0.002402718,0.001277324,0.001485151,0.01119852],"category_scores_gemma":[0.04622182,0.000344554,0.0007234042,0.0004357028,0.001107355,0.002082933,0.001221156,0.001493861,0.001325769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436909,"about_ca_system_score_gemma":0.001831711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004268269,"about_ca_topic_score_gemma":0.007162758,"domain_scores_codex":[0.9976543,0.0008937844,0.0001692054,0.0003359997,0.0006800935,0.0002666776],"domain_scores_gemma":[0.9612866,0.03002102,0.002249088,0.001045558,0.002230056,0.00316772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2090502,0.104837,0.102899,0.005160635,0.001771389,0.0005216977,0.005514608,0.02997896,0.02012018,0.01498415,0.009508944,0.4956533],"study_design_scores_gemma":[0.02929112,0.2781802,0.3659056,0.001880109,0.006232644,0.0004754312,0.01120768,0.2439447,0.02019307,0.01453867,0.02747657,0.0006741772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894072,0.0001444643,0.001652128,0.0001705848,0.00008859367,0.0007170693,0.0001339158,0.0001433433,0.007542641],"genre_scores_gemma":[0.9914525,0.0001331171,0.004268685,0.0001361168,0.00002638848,0.0007226805,0.0002196627,0.00004100837,0.002999853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01119852,"threshold_uncertainty_score":0.03746277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106036426240313,"score_gpt":0.3251965209157905,"score_spread":0.2841361566533874,"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."}}