{"id":"W4200619242","doi":"10.3390/e23121654","title":"Computational Creativity and Aesthetics with Algorithmic Information Theory","year":2021,"lang":"en","type":"article","venue":"Entropy","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Creativity; Information theory; Computer science; Aesthetics; Computational creativity; Cognitive science; Theoretical computer science; Epistemology; Artificial intelligence; Mathematics; Psychology; Art; Philosophy; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002719031,0.0001253194,0.0001411109,0.00005613728,0.0001094754,0.0002551205,0.0002220737,0.00003812223,0.00002741531],"category_scores_gemma":[0.00005747222,0.0001061619,0.00002978512,0.0002745458,0.00009766149,0.0007243424,0.0002390388,0.0001202837,0.00003247744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004950046,"about_ca_system_score_gemma":0.0001415841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005600447,"about_ca_topic_score_gemma":0.00000167336,"domain_scores_codex":[0.998922,0.0001593646,0.0001754469,0.0002431301,0.0003129814,0.0001870142],"domain_scores_gemma":[0.9990861,0.0002247111,0.00007446279,0.000314505,0.0002149759,0.00008525588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002065659,0.0001785441,0.004770464,0.0000294692,0.00003919563,0.00005591936,0.003121759,0.009511609,0.00003154754,0.7183108,0.0001950875,0.263735],"study_design_scores_gemma":[0.001088983,0.000217556,0.03522762,0.00001971779,0.00001357246,0.0004133166,0.0001638552,0.7415187,0.0005505222,0.2163903,0.004069943,0.0003258621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04297933,0.00009243478,0.9546801,0.001274096,0.0001221886,0.0001204243,0.000005106208,0.0001281977,0.0005981121],"genre_scores_gemma":[0.5743784,0.000009489404,0.4250513,0.0004309346,0.00004611609,0.000009423855,0.0000189675,0.000005403263,0.00004997903],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7320071,"threshold_uncertainty_score":0.4329159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006430327249681775,"score_gpt":0.2144166180562097,"score_spread":0.207986290806528,"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."}}