{"id":"W4205252725","doi":"10.1109/cog52621.2021.9619021","title":"StABLE: Analyzing Player Movement Similarity Using Text Mining","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Conference on Games (CoG)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Similarity (geometry); String (physics); Sequence (biology); Data mining; Sequential Pattern Mining; Information retrieval; Data science; Artificial intelligence; Mathematics","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":[0.001078629,0.001179203,0.0006970067,0.009145363,0.0006143654,0.001232778,0.001223601,0.001017728,0.002350997],"category_scores_gemma":[0.005215497,0.0002237988,0.000852392,0.006141991,0.000336151,0.001714788,0.001082827,0.0006188582,0.002213431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004012554,"about_ca_system_score_gemma":0.0006924447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003926861,"about_ca_topic_score_gemma":0.006535669,"domain_scores_codex":[0.9985988,0.0002591101,0.0002322467,0.0004432383,0.0003656737,0.0001009838],"domain_scores_gemma":[0.9976412,0.001172463,0.0003955452,0.0002371682,0.0004029237,0.0001507173],"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":[0.00093616,0.001360399,0.08723381,0.001126223,0.0003663665,0.0009308212,0.001573842,0.01163751,0.02804288,0.004281906,0.0293554,0.8331548],"study_design_scores_gemma":[0.000218229,0.001034853,0.1452693,0.0002450384,0.000260235,0.001680436,0.004217853,0.7475922,0.02829094,0.02222681,0.04875987,0.0002042023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4304524,0.001224574,0.4849232,0.0009478749,0.0004263432,0.0018688,0.05637493,0.01500035,0.008781535],"genre_scores_gemma":[0.5688285,0.0004512962,0.3760267,0.0001695638,0.00017563,0.001600902,0.04806246,0.0003373295,0.004347698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009145363,"threshold_uncertainty_score":0.007864833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08269248880411519,"score_gpt":0.3274261537405421,"score_spread":0.2447336649364269,"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."}}