{"id":"W4206841770","doi":"10.20935/al4617","title":"Randomness in Generative Art: Drawing Like a Person","year":2022,"lang":"en","type":"article","venue":"Academia Letters","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Randomness; Generative grammar; Computer science; Art; Visual arts; Artificial intelligence; Mathematics; Statistics","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":[0.002223722,0.0006109829,0.0004665884,0.001150907,0.00378256,0.00733758,0.001458228,0.002985232,0.01188826],"category_scores_gemma":[0.01264101,0.0006315922,0.0009623973,0.0009111975,0.01628859,0.006814373,0.003138201,0.002976753,0.001580552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173654,"about_ca_system_score_gemma":0.0009231247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001935939,"about_ca_topic_score_gemma":0.002200361,"domain_scores_codex":[0.9968923,0.002029621,0.00006016706,0.0004458889,0.0003839052,0.0001882777],"domain_scores_gemma":[0.9951077,0.002959323,0.0002213595,0.001194863,0.0002239049,0.0002929708],"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":[0.00004202672,0.00001677823,0.0007667266,0.00004523408,0.00001932684,0.0000970835,0.009093519,0.005704421,0.0007361365,0.9688346,0.002681078,0.01196313],"study_design_scores_gemma":[0.00004110279,0.00003807162,0.0009843106,0.00005521487,0.000027967,0.0003303343,0.003438484,0.01239902,0.0009765733,0.9452286,0.03643108,0.00004921396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1278249,0.001158464,0.4681141,0.008004987,0.0006161234,0.0001235534,0.0001462707,0.0008620176,0.3931497],"genre_scores_gemma":[0.9491104,0.0002341591,0.03076276,0.0004596713,0.0001384431,0.0001163124,0.0000867839,0.0005139053,0.01857761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01188826,"threshold_uncertainty_score":0.03977019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296650022410658,"score_gpt":0.2263613543510656,"score_spread":0.203394854126959,"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."}}