{"id":"W4404445395","doi":"10.1609/aiide.v20i1.31865","title":"Label-Free Subjective Player Experience Modelling via Let's Play Videos","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Machine Intelligence Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Computer science; Psychology; Art; Multimedia; Computer graphics (images); Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001688392,0.000261521,0.0003280151,0.0001998035,0.0001357371,0.0006599706,0.0005129741,0.00007135977,0.0002222024],"category_scores_gemma":[0.00007551097,0.0002110481,0.0001246859,0.0002463234,0.0001817509,0.001127261,0.0002438546,0.0002973698,0.0001093799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148338,"about_ca_system_score_gemma":0.00001650772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001409697,"about_ca_topic_score_gemma":0.000007881476,"domain_scores_codex":[0.9982814,0.000002255258,0.0006895185,0.0005834004,0.0001415862,0.0003018208],"domain_scores_gemma":[0.9992198,0.00006305953,0.0002944065,0.000196925,0.0001407268,0.00008507032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003180886,0.0004915919,0.002780283,0.0001086775,0.0001932282,0.000003860269,0.01752999,0.001099439,0.001176869,0.944087,0.0002124548,0.03199856],"study_design_scores_gemma":[0.0001101364,0.0006499811,0.0002348252,0.000725564,0.00001818657,0.00001316849,0.005274851,0.7469716,0.04252099,0.1988088,0.004127888,0.0005440505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542116,0.0002688907,0.01565125,0.0009505287,0.0006277522,0.0003707733,0.0001090454,0.00003857835,0.0277716],"genre_scores_gemma":[0.9986213,0.0002420155,0.00004113935,0.0001628664,0.00007581225,0.00004448406,0.000002871032,0.00002235877,0.0007871258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7458721,"threshold_uncertainty_score":0.8606294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07189501737348157,"score_gpt":0.2700908896514915,"score_spread":0.1981958722780099,"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."}}