{"id":"W2014523923","doi":"10.1145/1146816.1146827","title":"How computer gamers experience the game situation","year":2006,"lang":"en","type":"article","venue":"Computers in entertainment","topic":"Digital Games and Media","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Salient; Situational ethics; Context (archaeology); Computer game; Perception; Human–computer interaction; Computer science; Psychology; Video game; The Internet; Multimedia; Social psychology; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002053102,0.00009528326,0.00009821611,0.00004540091,0.00006367432,0.0002744304,0.0003141336,0.0000336055,0.0000102314],"category_scores_gemma":[0.0000115656,0.00007271703,0.00005610318,0.0001521158,0.0002443934,0.000199127,0.00007517783,0.00007020111,0.000008930017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773526,"about_ca_system_score_gemma":0.00002551111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002505754,"about_ca_topic_score_gemma":0.0004816622,"domain_scores_codex":[0.9989089,0.00008497734,0.0001421252,0.0002010692,0.0003622499,0.0003006227],"domain_scores_gemma":[0.9996139,0.00009545497,0.0000588053,0.0001546193,0.00002112524,0.00005607561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002026621,0.0003540667,0.018549,0.0000118677,0.00001674608,0.00004194134,0.1119621,0.002003542,0.00007669801,0.03904467,0.01025062,0.8176684],"study_design_scores_gemma":[0.0005584241,0.00007038559,0.02433922,0.00007359099,0.000004712491,0.00000173065,0.01022391,0.005556116,0.00006492626,0.001155263,0.9577105,0.0002412399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8176784,0.0002139349,0.1064305,0.01605696,0.003929385,0.000905073,0.000002536551,0.0001316682,0.05465158],"genre_scores_gemma":[0.9948891,0.00002849479,0.001112807,0.0008590765,0.0004137179,0.00002831699,0.000005486528,0.000005950629,0.002657003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9474599,"threshold_uncertainty_score":0.2965315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228439608932372,"score_gpt":0.2559673091473685,"score_spread":0.2436829130580448,"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."}}