{"id":"W4415209453","doi":"10.1080/14479338.2025.2573101","title":"When to respond to technological platform changes: empirical evidence from the video game industry","year":2025,"lang":"en","type":"article","venue":"Innovation","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Husky Injection Molding Systems (Canada)","funders":"","keywords":"Perspective (graphical); Product (mathematics); Quality (philosophy); Empirical evidence; New product development; Complementary good; Video game","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005004094,0.000240583,0.0002311987,0.001735481,0.0008845179,0.00318555,0.0007329663,0.00113501,0.003377218],"category_scores_gemma":[0.05280974,0.0002713004,0.0002014529,0.00113847,0.001675661,0.002602435,0.001929202,0.00104893,0.0004278263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194135,"about_ca_system_score_gemma":0.0009842541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008314552,"about_ca_topic_score_gemma":0.01212234,"domain_scores_codex":[0.9976836,0.0009218123,0.0001283342,0.0003655886,0.0005665948,0.0003339774],"domain_scores_gemma":[0.9186052,0.06022929,0.01405946,0.002013243,0.003304507,0.001788282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007618475,0.0007810247,0.8732665,0.0003385824,0.0001682867,0.0008912457,0.03389928,0.001496836,0.001810129,0.00457105,0.0008864285,0.08112869],"study_design_scores_gemma":[0.0000594767,0.0004741111,0.9363114,0.0002459175,0.0001008106,0.000245257,0.050175,0.002434934,0.001361658,0.002943459,0.00558305,0.00006486727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956482,0.000179357,0.0002453166,0.0001501588,0.000003427948,0.00001583402,0.00002051536,0.000001991094,0.003735164],"genre_scores_gemma":[0.999195,0.0001771918,0.0001565757,0.00004103226,0.000003153431,0.000008230851,0.00002643967,0.000002565424,0.0003898507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008314552,"threshold_uncertainty_score":0.02646446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164267562103316,"score_gpt":0.299129877885466,"score_spread":0.1827031216751345,"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."}}