{"id":"W7042975143","doi":"","title":"Reviewing, Creativity, and Algorithmic Information Theory","year":2023,"lang":"en","type":"article","venue":"Kent Academic Repository (University of Kent)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Creativity; Process (computing); Task (project management); Computational creativity; Contextualization; Information theory","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006432233,0.0001026478,0.0001715788,0.0001778821,0.0002430668,0.00003702841,0.0007467442,0.000121854,0.00001177417],"category_scores_gemma":[0.00007097935,0.0001172421,0.0000674792,0.0004337494,0.0001813275,0.001789104,0.0004349439,0.0002403342,0.0001269567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006209945,"about_ca_system_score_gemma":0.00005294625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006668741,"about_ca_topic_score_gemma":0.00000117399,"domain_scores_codex":[0.9989468,0.000139687,0.0002194426,0.0002129557,0.0002928299,0.0001883086],"domain_scores_gemma":[0.9991235,0.000165935,0.0002407985,0.0002996098,0.00008363394,0.0000864898],"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":[0.00007926886,0.00007964178,0.05499808,0.0005559105,0.0002001374,0.0001436878,0.07009792,0.0005664945,0.01248568,0.1565004,0.03959365,0.6646991],"study_design_scores_gemma":[0.00139238,0.0006776741,0.1846664,0.002092996,0.0003139549,0.0003445846,0.02456052,0.3797598,0.05194968,0.1102506,0.2416532,0.00233828],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6711267,0.0013612,0.3130228,0.001722203,0.0009193448,0.0006134256,0.000005330123,0.0006744719,0.01055451],"genre_scores_gemma":[0.9897825,0.00265749,0.003868468,0.0001157002,0.00007545087,0.000001179007,0.000006062444,0.000007046286,0.003486162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6623608,"threshold_uncertainty_score":0.4780992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246134404697005,"score_gpt":0.2458094099660814,"score_spread":0.2233480659191114,"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."}}