{"id":"W2976512954","doi":"10.1109/cig.2019.8847957","title":"Using Active Probing by a Game Management AI to Faster Classify Players","year":2019,"lang":"en","type":"article","venue":"2019 IEEE Conference on Games (CoG)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Human–computer interaction; Artificial intelligence","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":[0.002848172,0.001622736,0.0008273965,0.001423366,0.0007876783,0.003043428,0.002401442,0.001292105,0.003721877],"category_scores_gemma":[0.01480031,0.0004875445,0.0006453875,0.0005178544,0.001050397,0.003495306,0.002299,0.002263051,0.001463439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000881208,"about_ca_system_score_gemma":0.0009961297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003144726,"about_ca_topic_score_gemma":0.002827151,"domain_scores_codex":[0.9957912,0.001483152,0.0002849907,0.001114878,0.0009980095,0.0003277427],"domain_scores_gemma":[0.9898074,0.00618383,0.0008862862,0.001119428,0.001391907,0.0006112369],"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":[0.002925168,0.002560443,0.07086448,0.0007108916,0.0003903982,0.0005788549,0.00678008,0.02214035,0.1297326,0.03213517,0.009502808,0.7216788],"study_design_scores_gemma":[0.0002022397,0.001185063,0.01730373,0.0001240189,0.0002500172,0.0006973827,0.001223153,0.8733291,0.04374498,0.03386754,0.02787026,0.0002026018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1846974,0.0002961587,0.7846376,0.001062918,0.0002303716,0.001540288,0.0003945332,0.009304489,0.0178363],"genre_scores_gemma":[0.6227627,0.00009149732,0.3693524,0.0007599018,0.00005746708,0.0006302817,0.0005977657,0.0002460367,0.005501973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003721877,"threshold_uncertainty_score":0.01506281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05108697250690437,"score_gpt":0.3285383312108906,"score_spread":0.2774513587039862,"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."}}