{"id":"W4400266831","doi":"10.1145/3643991.3644869","title":"PlayMyData: a curated dataset of multi-platform video games","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Video game; Multimedia; Data science; World Wide Web; Computer graphics (images)","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":[0.0002555539,0.00006001693,0.00009779761,0.00004870365,0.00002443972,0.0001317013,0.0001771366,0.00004544943,0.0006474777],"category_scores_gemma":[0.0001474663,0.00004473046,0.00003461906,0.0002576864,0.000161626,0.0006658715,0.00004829939,0.00005575919,0.0002452664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001937655,"about_ca_system_score_gemma":0.0001455096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007959685,"about_ca_topic_score_gemma":0.002217718,"domain_scores_codex":[0.9993029,0.00001028671,0.0001545234,0.0001474928,0.0002025906,0.0001821613],"domain_scores_gemma":[0.9996276,0.00009600027,0.00002160416,0.0001286747,0.00002705751,0.00009910063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000011915,0.0001113971,0.0002039758,0.00008102122,0.00005955558,0.00003536404,0.008611279,0.000002384869,0.000431846,0.09251764,0.5211201,0.3768136],"study_design_scores_gemma":[0.00008099203,0.00001636047,0.00006899374,0.0000372178,0.000008582258,6.452571e-7,0.002931105,0.0003173692,0.0003270751,0.0001510551,0.9959938,0.00006683498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03641987,0.002388776,0.0013851,0.001774311,0.002271418,0.0006079245,0.008807259,0.0005555732,0.9457898],"genre_scores_gemma":[0.8623334,0.000627913,0.001549153,0.0004199712,0.0002800991,0.0000161128,0.002282161,0.00001962034,0.1324716],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8259135,"threshold_uncertainty_score":0.7089427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05869087469090722,"score_gpt":0.3587918211638438,"score_spread":0.3001009464729366,"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."}}