{"id":"W4399723073","doi":"10.32920/26052595.v1","title":"Chinatown Time Machine: A Research Creation Project on Game Design and Cultural Heritage","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Chinatown; Cultural heritage; Game design; Video game; Architectural engineering; Engineering; Sociology; Computer science; Visual arts; History; Art; Human–computer interaction; Multimedia; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003642315,0.0009967306,0.0002657591,0.0008655228,0.00235095,0.003420982,0.001463778,0.0008451597,0.004392922],"category_scores_gemma":[0.004660482,0.0003231942,0.0004345346,0.0009453695,0.004221423,0.002098495,0.003841358,0.001013861,0.0002778969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003765496,"about_ca_system_score_gemma":0.00508656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00919564,"about_ca_topic_score_gemma":0.0254613,"domain_scores_codex":[0.9972258,0.002014125,0.00004651354,0.0001972299,0.0002632813,0.0002530568],"domain_scores_gemma":[0.9970717,0.00152451,0.0001022729,0.0002769202,0.0002204524,0.0008040471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001720011,0.004981556,0.01703372,0.001299508,0.0001395119,0.002933797,0.2908847,0.01350455,0.03601543,0.2613152,0.04807441,0.3220976],"study_design_scores_gemma":[0.001001356,0.004364103,0.0171901,0.0006000959,0.00015993,0.001392116,0.1554974,0.06619287,0.01879261,0.05097844,0.6836441,0.0001868233],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981554,0.0006609627,0.1007927,0.004374051,0.000319738,0.00398434,0.0004977109,0.0005735059,0.09064165],"genre_scores_gemma":[0.821232,0.0006689305,0.1320297,0.0005035594,0.00005127755,0.004122057,0.000439977,0.000190854,0.04076159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00919564,"threshold_uncertainty_score":0.02732068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09157022238775697,"score_gpt":0.4224894050929182,"score_spread":0.3309191827051612,"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."}}