{"id":"W4396832638","doi":"10.1145/3613905.3643986","title":"Games and Play SIG: Connecting Games Research to the Broader HCI Context","year":2024,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Victoria","funders":"","keywords":"Emergent gameplay; Context (archaeology); Game mechanics; Computer science; Turns, rounds and time-keeping systems in games; Work (physics); Video game design; World Wide Web; Multimedia; Sociology; Human–computer interaction; Engineering","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":[0.007490972,0.001410879,0.001024342,0.008524399,0.004281763,0.02000785,0.0020019,0.004056674,0.01154248],"category_scores_gemma":[0.01390203,0.0009686019,0.0008420745,0.005112851,0.01795028,0.01763942,0.0131103,0.006159947,0.001684809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003122271,"about_ca_system_score_gemma":0.004352553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005082669,"about_ca_topic_score_gemma":0.01003041,"domain_scores_codex":[0.9942924,0.004112216,0.0002378371,0.0004021492,0.0005640155,0.0003913899],"domain_scores_gemma":[0.9857988,0.009690484,0.0003918582,0.001111791,0.0006200605,0.002387096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000269231,0.0004311514,0.009340434,0.003110263,0.000151453,0.001050544,0.1134022,0.0007736671,0.002141077,0.4444312,0.1140027,0.310896],"study_design_scores_gemma":[0.00007055781,0.0003335878,0.00848189,0.004151274,0.0000763658,0.0008713695,0.09566046,0.001504486,0.0007117526,0.2269969,0.6610404,0.0001009341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1011628,0.1852688,0.1521556,0.2184535,0.02585497,0.000845032,0.001507298,0.00318516,0.3115668],"genre_scores_gemma":[0.6310566,0.1486913,0.1183537,0.0248246,0.01194471,0.003216482,0.001421614,0.001936176,0.05855469],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02000785,"threshold_uncertainty_score":0.03961653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07866943575592203,"score_gpt":0.3877950284337797,"score_spread":0.3091255926778577,"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."}}