{"id":"W4408926592","doi":"10.61091/jcmcc125-20","title":"Reinforcement learning-based business model construction and analysis of the sports industry","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Reinforcement; Computer science; Knowledge management; Engineering; Artificial intelligence; Structural engineering","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":[0.0008550027,0.0001628687,0.000512836,0.000554885,0.0002547798,0.0001837814,0.0001757259,0.0001432727,0.000006374026],"category_scores_gemma":[0.0002972085,0.000126413,0.0001401663,0.001408478,0.0001049223,0.0002525167,0.0001707307,0.00038336,1.05322e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004164017,"about_ca_system_score_gemma":0.0001056095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002110495,"about_ca_topic_score_gemma":6.702445e-7,"domain_scores_codex":[0.9984282,0.00002033531,0.0008097602,0.0001253879,0.0004761275,0.0001401392],"domain_scores_gemma":[0.9976438,0.0001321704,0.001374229,0.000135491,0.0006958836,0.00001841291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001581566,0.0002971509,0.04421482,0.0007037427,0.0005667442,0.000002992668,0.0002786639,0.1063927,0.0004255667,0.8440551,0.0001227371,0.002781622],"study_design_scores_gemma":[0.003912989,0.00004133299,0.01147135,0.0006038345,0.002235198,0.000004339208,0.0006194061,0.8391829,0.0002955911,0.1410845,0.0003129669,0.0002356096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773735,0.00004795226,0.01659205,0.000232892,0.004426397,0.0001666922,3.475935e-7,0.000014596,0.001145529],"genre_scores_gemma":[0.999124,0.00000680717,0.0004733033,0.00008340876,0.0002887165,7.689689e-7,0.000002156133,0.000009151342,0.00001167658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7327902,"threshold_uncertainty_score":0.5154971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030649419343105,"score_gpt":0.2335569645726151,"score_spread":0.2232504703791841,"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."}}