{"id":"W4412850169","doi":"10.1080/14927713.2025.2539701","title":"Esports ecosystem in the United States","year":2025,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Grants Council, University Grants Committee","keywords":"Ecosystem; Environmental science; Natural resource economics; Environmental resource management; Ecology; Economics; Biology","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":[0.000853512,0.00007910258,0.0001305434,0.0001218581,0.00007791407,0.0001402573,0.0003091559,0.00006652757,0.00003652575],"category_scores_gemma":[0.0001283967,0.00005511842,0.00004686642,0.0008862119,0.0000715827,0.0001136654,0.00002651569,0.0001134577,0.00003744091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005763529,"about_ca_system_score_gemma":0.0001344473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493349,"about_ca_topic_score_gemma":0.01480552,"domain_scores_codex":[0.9989951,0.00014125,0.0001740308,0.0001478323,0.0002634036,0.0002784394],"domain_scores_gemma":[0.9994577,0.0002251459,0.00004323339,0.0001754183,0.00004878167,0.00004967656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005140054,0.0004109909,0.2131191,0.0001380566,0.00006315864,0.0001767729,0.08356896,0.0003089407,0.00002011097,0.5074988,0.04660079,0.1480429],"study_design_scores_gemma":[0.0001265082,0.00001178041,0.0126553,0.00005483276,0.000005483103,3.697468e-7,0.01050566,0.00002837109,0.00001837454,0.0015918,0.9749359,0.00006556974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267463,0.0001157835,0.00001490459,0.003970385,0.0003963814,0.0002611529,0.000007844702,0.00005111922,0.2684361],"genre_scores_gemma":[0.9787846,0.0001185723,0.00001396677,0.0009066035,0.00008596044,0.00002315858,0.00002442495,0.000004873686,0.02003784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9283351,"threshold_uncertainty_score":0.8261828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591200163717008,"score_gpt":0.2897821984404848,"score_spread":0.2738701968033147,"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."}}