{"id":"W4312731901","doi":"10.1007/978-3-031-16719-5_6","title":"Probabilistic PCGML Approaches","year":2022,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on games and computational intelligence","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002336066,0.001092319,0.001117387,0.002049586,0.001619182,0.004152322,0.003866617,0.002296617,0.0347002],"category_scores_gemma":[0.009661234,0.0008156702,0.001333249,0.002701937,0.002120861,0.006068504,0.004775181,0.004138356,0.01156764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378222,"about_ca_system_score_gemma":0.001627548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003401366,"about_ca_topic_score_gemma":0.004504446,"domain_scores_codex":[0.9975381,0.0008043856,0.0000898912,0.0004509048,0.0009415671,0.0001751452],"domain_scores_gemma":[0.9968765,0.001287517,0.0001276618,0.001045383,0.0005036955,0.0001591786],"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":[0.00001953893,0.00003592156,0.0001083289,0.00007302966,0.00001725127,0.00002295575,0.00007200098,0.009839134,0.0001770688,0.9181769,0.01417635,0.05728151],"study_design_scores_gemma":[0.000008927143,0.000009075337,0.00004862083,0.00003319937,0.000009589618,0.00003348504,0.00002129927,0.08642274,0.0003082664,0.8768687,0.03622505,0.00001104009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001765999,0.001115956,0.9089514,0.001744725,0.0003108001,0.00007700372,0.0003727993,0.001048383,0.08461291],"genre_scores_gemma":[0.2143325,0.002636517,0.6004776,0.002233738,0.00126263,0.0007162358,0.002375075,0.001993377,0.1739723],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0347002,"threshold_uncertainty_score":0.1160837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06068726537343399,"score_gpt":0.24899085887331,"score_spread":0.188303593499876,"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."}}