{"id":"W318854254","doi":"10.1007/978-3-319-11915-1_23","title":"Linked Open Data Driven Game Generation","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Battle; Terrain; Cultural heritage; Data modeling; Video game development; Data science; Human–computer interaction; Game design; Database; Cartography; History; Archaeology; Geography","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":[0.0008717697,0.0006216944,0.0003815372,0.0009357839,0.0005374408,0.001496133,0.002028876,0.0009050338,0.01497871],"category_scores_gemma":[0.004092648,0.000335369,0.0007448259,0.0006989634,0.0005409427,0.001433269,0.002606784,0.001101527,0.002856765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006370413,"about_ca_system_score_gemma":0.0007329859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002295427,"about_ca_topic_score_gemma":0.003171294,"domain_scores_codex":[0.9993677,0.0001375127,0.00002525987,0.0001154263,0.0002855215,0.00006855954],"domain_scores_gemma":[0.9988487,0.0005952109,0.00002524909,0.000199641,0.0002683202,0.00006291013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006396125,0.0008861017,0.002601744,0.0003418504,0.0001111943,0.0006042026,0.000658287,0.1973228,0.01413798,0.09939146,0.0462271,0.6370777],"study_design_scores_gemma":[0.00007398382,0.00006976661,0.000301354,0.00003070168,0.00001939939,0.000102228,0.0001142701,0.9091485,0.00888742,0.060993,0.0202348,0.00002466841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02673163,0.0001385271,0.9360899,0.00027149,0.0002095183,0.000532907,0.001321612,0.01252407,0.02218033],"genre_scores_gemma":[0.4627377,0.0001594911,0.5049694,0.0002381089,0.00004270788,0.0009641848,0.005484569,0.001921759,0.02348211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01497871,"threshold_uncertainty_score":0.05010879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08224342505436458,"score_gpt":0.302924330352602,"score_spread":0.2206809052982374,"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."}}