{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837054,0.0001449817,0.0001833,0.00007210605,0.00004521736,0.00026322,0.003420808,0.0001091928,0.00000868438],"category_scores_gemma":[0.00003201859,0.0001448229,0.00002558064,0.0003470044,0.000008690745,0.0003447671,0.004696632,0.0002111718,0.00003775891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002905274,"about_ca_system_score_gemma":0.0002874174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003111481,"about_ca_topic_score_gemma":0.0005061604,"domain_scores_codex":[0.998394,0.00001745088,0.0002911144,0.0009771917,0.0001567174,0.0001635028],"domain_scores_gemma":[0.9972995,0.00006802469,0.0001409369,0.002360689,0.00006136215,0.0000695181],"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":[0.000007539421,0.0001931831,0.0002187095,0.0004048352,0.00004090614,0.00001762725,0.001211842,0.0002716551,0.0001462828,0.1508377,0.09147979,0.7551699],"study_design_scores_gemma":[0.0001620588,0.000006549019,0.0002429796,0.00005498951,0.000004330018,0.000001730618,0.00002010036,0.8494433,0.00003243111,0.031964,0.1178955,0.000172041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008603337,0.00005269012,0.9751199,0.02142358,0.0002778571,0.0006178773,0.0005388028,0.0001965102,0.0009124246],"genre_scores_gemma":[0.004305086,0.00003098945,0.9899781,0.00146,0.0001462218,0.0002441679,0.003709026,0.00001278199,0.0001136746],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8491716,"threshold_uncertainty_score":0.6356769,"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."}}