{"id":"W4410906622","doi":"10.1007/978-3-031-84756-1_12","title":"Mixed-Initiative PCGML","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on games and computational intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Sudbury; University of Alberta","funders":"","keywords":"Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001551997,0.0004454708,0.0004825759,0.0003290366,0.0001832903,0.0002433042,0.0008354636,0.0002593404,0.0001032006],"category_scores_gemma":[0.0002550737,0.0003774813,0.0001822857,0.00007906267,0.0002077068,0.000107388,0.0002647141,0.0003552018,0.00009529938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005310373,"about_ca_system_score_gemma":0.0001954345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008898885,"about_ca_topic_score_gemma":0.000013384,"domain_scores_codex":[0.9980866,0.00005504262,0.0003901823,0.0007946879,0.0004159175,0.0002575173],"domain_scores_gemma":[0.995736,0.003375967,0.0002084762,0.0004015738,0.0001963817,0.0000816097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001047401,0.00001286513,0.000002104661,0.00003051173,0.00008672025,0.00001814073,0.00009849425,0.002328451,4.051509e-7,0.664989,0.002720962,0.3297019],"study_design_scores_gemma":[0.00004015333,0.0001407319,0.0002673234,0.0006549521,0.00005042068,0.00002858278,0.0000288078,0.02876456,0.0009551651,0.9375915,0.03089314,0.0005846678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000008947091,0.002927734,0.6893427,0.002432436,0.0004531291,0.0002039383,0.00002926941,0.0001869022,0.304415],"genre_scores_gemma":[0.6391319,0.004246566,0.1333284,0.01532055,0.0006823248,0.0001851744,0.00006524522,0.0001308764,0.206909],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.639123,"threshold_uncertainty_score":0.9998677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0400189931767137,"score_gpt":0.2612196057152086,"score_spread":0.2212006125384949,"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."}}