{"id":"W3032125656","doi":"10.36227/techrxiv.12088938.v1","title":"Web service for data aggregation in eSports domain","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Web application; Domain (mathematical analysis); Computer science; Web service; World Wide Web; Service (business); Business; Mathematics; Marketing","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":[0.003271934,0.0008197551,0.001221523,0.00205008,0.001420817,0.003500091,0.00197481,0.001544336,0.006083182],"category_scores_gemma":[0.004747975,0.0005091832,0.001487073,0.002466556,0.0007562109,0.00388784,0.003881398,0.002208023,0.003093682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038646,"about_ca_system_score_gemma":0.001752942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005399357,"about_ca_topic_score_gemma":0.00326343,"domain_scores_codex":[0.9966958,0.0005568279,0.0004741185,0.000455864,0.001404957,0.0004125109],"domain_scores_gemma":[0.9960108,0.0007652049,0.0002490415,0.00141111,0.001125533,0.0004384489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002762086,0.001586508,0.02069893,0.001448887,0.0006447822,0.004281857,0.00225,0.01611505,0.08369572,0.1081715,0.1196595,0.6386852],"study_design_scores_gemma":[0.0002706479,0.0004099187,0.007906603,0.0002577806,0.0003645608,0.002699966,0.001160511,0.5358046,0.0969344,0.04793967,0.3060188,0.0002326481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04223969,0.0006855397,0.8953784,0.001361681,0.0006661476,0.0006625451,0.001409287,0.04574318,0.01185365],"genre_scores_gemma":[0.4686642,0.001058046,0.4876185,0.002472417,0.0006741557,0.0006500665,0.008551166,0.00467767,0.02563372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006083182,"threshold_uncertainty_score":0.02035028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08444892918551193,"score_gpt":0.3204725268345218,"score_spread":0.2360235976490099,"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."}}