{"id":"W2501198527","doi":"10.4018/978-1-5225-0477-1.ch007","title":"Exploring Complex Intertextual Interactions in Video Games","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in multimedia and interactive technologies book series","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Video game; Intertextuality; Construct (python library); Class (philosophy); Multimedia; Meaning (existential); Session (web analytics); Computer science; Multimodality; Psychology; Art; World Wide Web; Literature; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005538397,0.0005282666,0.0002608601,0.0008498932,0.001333119,0.00538323,0.0006418882,0.0006520064,0.004563252],"category_scores_gemma":[0.001830468,0.0002317348,0.0003671801,0.0007747281,0.00223409,0.00352952,0.002333747,0.001131356,0.000439199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020635,"about_ca_system_score_gemma":0.0006889737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530408,"about_ca_topic_score_gemma":0.003428721,"domain_scores_codex":[0.9993103,0.0003936676,0.00002213203,0.00006525782,0.0001315978,0.00007699009],"domain_scores_gemma":[0.9991316,0.0007127717,0.00004039028,0.00002576781,0.00004289096,0.00004657573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001393082,0.0003008702,0.005565655,0.001167256,0.00004069568,0.003255975,0.5259,0.005094145,0.02102533,0.2614594,0.007149927,0.1689015],"study_design_scores_gemma":[0.00004814279,0.0003659849,0.02132819,0.002348708,0.00005580504,0.003628351,0.2998361,0.01612535,0.01130036,0.0986433,0.5462025,0.0001170237],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6718571,0.004249494,0.07991777,0.001421827,0.0001812475,0.0004094265,0.0001892969,0.0002231424,0.2415508],"genre_scores_gemma":[0.917451,0.004777563,0.03927045,0.0002271557,0.00004412073,0.0003049569,0.0002289131,0.0001376621,0.03755817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00538323,"threshold_uncertainty_score":0.01526558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06651514577422765,"score_gpt":0.3273675850210116,"score_spread":0.2608524392467839,"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."}}