{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017482,0.0007653225,0.001628151,0.008119511,0.003680061,0.01079599,0.002407724,0.002662016,0.006475973],"category_scores_gemma":[0.08275253,0.0005696706,0.001843221,0.007470137,0.01762043,0.01522101,0.004958649,0.003346029,0.001123204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005196423,"about_ca_system_score_gemma":0.003980629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549142,"about_ca_topic_score_gemma":0.001004448,"domain_scores_codex":[0.9706672,0.0185961,0.001801177,0.002939406,0.005088719,0.0009073868],"domain_scores_gemma":[0.8668866,0.1037842,0.008117901,0.01072499,0.00898997,0.00149632],"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":[0.0000126022,0.000008456164,0.0002231212,0.0001443113,0.00001597533,0.00004008007,0.000427637,0.001291866,0.00007139228,0.9835295,0.001980887,0.01225419],"study_design_scores_gemma":[0.000007380259,0.00000704283,0.00008028432,0.00004549173,0.000008537085,0.0000405727,0.0001076394,0.002989879,0.0001321141,0.9885328,0.008036866,0.00001143031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02365301,0.01303365,0.8164424,0.03532366,0.001071079,0.0003137429,0.0003672633,0.0003787109,0.1094164],"genre_scores_gemma":[0.6616156,0.00641009,0.309777,0.003839998,0.002957621,0.000702441,0.0003905693,0.0002058279,0.01410093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.017482,"threshold_uncertainty_score":0.09245473,"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."}}