{"meta":{"query_hash":"9ac68845061b","filters":{"venue":"Games Research and Practice"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/9ac68845061b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Games+Research+and+Practice"},"results":[{"id":"W4324072013","doi":"10.1145/3582931","title":"The Sociality of Video Games: Embracing Games as Social Infrastructure","year":2023,"lang":"en","type":"article","venue":"Games Research and Practice","topic":"Digital Games and Media","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sociality; Video game; Sociology; Internet privacy; Computer science; Multimedia; Ecology","score_opus":0.0902684557507405,"score_gpt":0.46520060596435453,"score_spread":0.37493215021361403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324072013","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24887696,0.019148225,0.07282651,0.08752308,0.0013394722,0.00022459948,0.00010540006,0.00012838647,0.5698274],"genre_scores_gemma":[0.9877572,0.0026028315,0.00463779,0.0013323991,0.00022135882,0.00009141359,0.00001229624,0.000038145907,0.0033065055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9941533,0.004298238,0.00009272113,0.00039872417,0.0006084231,0.00044861838],"domain_scores_gemma":[0.987265,0.009527881,0.0007261526,0.0005780699,0.0006605286,0.0012423972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005077866,0.00064523524,0.00045411504,0.0030073866,0.004293766,0.016329378,0.0018249594,0.0032383588,0.0059978985],"category_scores_gemma":[0.013514554,0.00038803223,0.00045371713,0.0016080935,0.034980573,0.014512246,0.008193891,0.0032839568,0.00032938027],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002283526,0.000059579703,0.0025719847,0.0002356232,0.00002037954,0.00013618851,0.03924564,0.0005270997,0.00050337287,0.92771953,0.0015675366,0.027390191],"study_design_scores_gemma":[0.000021391343,0.00012413114,0.005336801,0.0009325369,0.000034569723,0.00035604843,0.09368285,0.0028256942,0.00076134526,0.7809884,0.11488335,0.00005291657],"about_ca_topic_score_codex":0.006379694,"about_ca_topic_score_gemma":0.0071466854,"teacher_disagreement_score":0.016329378,"about_ca_system_score_codex":0.0043583577,"about_ca_system_score_gemma":0.0056212037,"threshold_uncertainty_score":0.03162217},"labels":[],"label_agreement":null},{"id":"W4400123646","doi":"10.1145/3675805","title":"Game On, Hate Off: A Study of Toxicity in Online Multiplayer Environments","year":2024,"lang":"en","type":"article","venue":"Games Research and Practice","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; Ubisoft (Canada)","funders":"Canadian Institute for Advanced Research","keywords":"Leverage (statistics); Computer science; Social media; Video game; Internet privacy; Data science; Multimedia; World Wide Web; Artificial intelligence","score_opus":0.07496877873334366,"score_gpt":0.3900591640580643,"score_spread":0.3150903853247206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400123646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985417,0.000027767952,0.00075227587,0.000062519255,0.000003678707,0.00003438161,0.0000681089,0.000013760429,0.000495795],"genre_scores_gemma":[0.99728227,0.00006157098,0.0011222977,0.00010609221,0.000010739506,0.000051411327,0.00020803406,0.000014236328,0.0011434129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855894,0.0007717842,0.0000877217,0.00022349054,0.00026046592,0.000097574535],"domain_scores_gemma":[0.98613364,0.008019411,0.0027213546,0.00078705477,0.001359005,0.0009796026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018541384,0.0005234807,0.00057042117,0.0014286225,0.0011194678,0.0011644097,0.00062791473,0.0009086966,0.0009891381],"category_scores_gemma":[0.017607624,0.00037757907,0.00031743917,0.00063071545,0.0011313186,0.0016368827,0.0012325076,0.0012030945,0.0005438635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000650486,0.0025897736,0.89903945,0.00020494057,0.00025962837,0.0010952279,0.04194684,0.0020445536,0.008605898,0.00067362614,0.0014794957,0.04141005],"study_design_scores_gemma":[0.00002474867,0.0016476212,0.95563763,0.000062378494,0.00007428486,0.000759184,0.019724663,0.01585963,0.0023968187,0.0012241774,0.0025093972,0.000079292695],"about_ca_topic_score_codex":0.010864666,"about_ca_topic_score_gemma":0.019314524,"teacher_disagreement_score":0.010864666,"about_ca_system_score_codex":0.00065031374,"about_ca_system_score_gemma":0.00043934153,"threshold_uncertainty_score":0.021602869},"labels":[],"label_agreement":null},{"id":"W4403490185","doi":"10.1145/3700628","title":"Rolling in Fun, Paying the Price: A Thematic Analysis on Purchase and Play in Tabletop Games","year":2024,"lang":"en","type":"article","venue":"Games Research and Practice","topic":"Digital Games and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Thematic map; Advertising; Computer science; Psychology; Human–computer interaction; Business; Geography; Cartography","score_opus":0.09725263233266085,"score_gpt":0.4554877759089437,"score_spread":0.35823514357628283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403490185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752363,0.0010267587,0.008139604,0.0017965663,0.000082583734,0.00072041334,0.00044695596,0.000020407699,0.01253057],"genre_scores_gemma":[0.9854974,0.0012326806,0.006873646,0.0004974011,0.000029197327,0.0009418966,0.00047072666,0.000076896686,0.0043800003],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9942629,0.0037130835,0.0002533023,0.0004656175,0.00071459013,0.0005904932],"domain_scores_gemma":[0.99079937,0.0074220845,0.0005656924,0.00022709227,0.00063361065,0.0003521899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007580243,0.00063792954,0.00074500206,0.003623751,0.0051710075,0.0051194355,0.0013678337,0.0011968041,0.0017491956],"category_scores_gemma":[0.011977175,0.00045673648,0.0004589884,0.0041577835,0.0076400843,0.0043211044,0.0045038518,0.0017837088,0.00019205711],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002046921,0.000014434501,0.0018865762,0.00017383651,0.0000043277123,0.0004114912,0.9892758,0.000033262655,0.00078163267,0.0025032745,0.00038777885,0.0045071207],"study_design_scores_gemma":[0.0000028916188,0.000012739744,0.0044641118,0.000265841,0.0000058607266,0.00021753312,0.98243356,0.00018019568,0.0003507306,0.0012245391,0.010830596,0.000011572576],"about_ca_topic_score_codex":0.010083226,"about_ca_topic_score_gemma":0.016583074,"teacher_disagreement_score":0.010083226,"about_ca_system_score_codex":0.004405073,"about_ca_system_score_gemma":0.004535871,"threshold_uncertainty_score":0.040088594},"labels":[],"label_agreement":null},{"id":"W4405452958","doi":"10.1145/3705013","title":"A Comprehensive Model of Automated Evaluation of Difficulty in Platformer Games","year":2024,"lang":"en","type":"article","venue":"Games Research and Practice","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science","score_opus":0.3253714657586089,"score_gpt":0.4986562545373149,"score_spread":0.17328478877870596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405452958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02912989,0.0001219693,0.9646332,0.00010824715,0.000014386628,0.0001876167,0.00028034765,0.00092750293,0.0045967717],"genre_scores_gemma":[0.5219134,0.00030754396,0.47239074,0.00006392494,0.000020295502,0.00061540183,0.00059374,0.00025466058,0.0038402912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984862,0.00036762687,0.00012419428,0.00037505338,0.0005030559,0.00014395994],"domain_scores_gemma":[0.99698144,0.0017111971,0.00040751812,0.000333877,0.00044274202,0.00012320072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013312186,0.0010987326,0.00076359714,0.0018907315,0.00048656165,0.003078898,0.0018618142,0.0011813601,0.003655155],"category_scores_gemma":[0.007622895,0.0007947243,0.0014277337,0.00080507685,0.0015424951,0.002841545,0.0010962485,0.0011571556,0.0007586173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008259688,0.00012639185,0.0037213925,0.0001843129,0.000056867113,0.00014000379,0.00039978573,0.8977385,0.004282137,0.060071964,0.00071203883,0.03248407],"study_design_scores_gemma":[0.000014012,0.000052329044,0.00088396895,0.000029751855,0.000019479634,0.000058411013,0.000026184702,0.97894627,0.00089752907,0.017622678,0.001428854,0.00002050183],"about_ca_topic_score_codex":0.010546428,"about_ca_topic_score_gemma":0.008597605,"teacher_disagreement_score":0.010546428,"about_ca_system_score_codex":0.0018554635,"about_ca_system_score_gemma":0.001820813,"threshold_uncertainty_score":0.020970047},"labels":[],"label_agreement":null},{"id":"W4410306641","doi":"10.1145/3735141","title":"MyShoppingBuddy: Exploring Persuasive Strategies and Design Opportunities for Gamifying Real World Shopping Experiences","year":2025,"lang":"en","type":"article","venue":"Games Research and Practice","topic":"Educational Games and Gamification","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Psychology","score_opus":0.6188804873487691,"score_gpt":0.528878168095354,"score_spread":0.09000231925341506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410306641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72878414,0.0030203382,0.22917725,0.0018816129,0.00016195694,0.0017674626,0.00013816838,0.0017991835,0.033269826],"genre_scores_gemma":[0.7568387,0.0014065634,0.23309997,0.0002928501,0.000023596816,0.0008817197,0.00012415933,0.00012082601,0.007211591],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.999158,0.0005282138,0.000047248035,0.000074604584,0.00010814295,0.00008378009],"domain_scores_gemma":[0.9974366,0.0020857914,0.00011767072,0.00008924776,0.00011181778,0.0001589057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017537043,0.0010143627,0.00028892801,0.0011871996,0.00044343993,0.0024925924,0.0013071614,0.00092945894,0.002689154],"category_scores_gemma":[0.00481828,0.00031886264,0.00058635167,0.00030067598,0.0010370101,0.0027079503,0.0019105723,0.0007554135,0.00039079532],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017404103,0.0049310327,0.02736993,0.00850576,0.00035409888,0.0033576044,0.090105176,0.009601203,0.057140235,0.0710601,0.009495211,0.71633923],"study_design_scores_gemma":[0.0021223968,0.0143642705,0.07255608,0.00741302,0.0019559897,0.013674351,0.08252307,0.1808548,0.07414406,0.14594822,0.40358594,0.00085783337],"about_ca_topic_score_codex":0.00042378917,"about_ca_topic_score_gemma":0.0013593017,"teacher_disagreement_score":0.002689154,"about_ca_system_score_codex":0.00033928093,"about_ca_system_score_gemma":0.00047215878,"threshold_uncertainty_score":0.009274602},"labels":[],"label_agreement":null}]}