{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001959879,0.0001344948,0.0001789885,0.0001128646,0.0006022188,0.00004079062,0.000244687,0.0001069542,0.001577316],"category_scores_gemma":[0.00001337285,0.0001216831,0.00007072622,0.00004840549,0.0001759022,0.0001663503,0.00008024008,0.001414154,0.00005958911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009907148,"about_ca_system_score_gemma":0.00001453881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006255304,"about_ca_topic_score_gemma":0.0002458844,"domain_scores_codex":[0.9990543,0.00009488033,0.0001531546,0.0002384815,0.0001763458,0.0002828328],"domain_scores_gemma":[0.9997495,0.00003544565,0.00006180747,0.0001150998,0.00000999615,0.00002818926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006005933,0.00003722067,0.0009107198,0.00001275236,0.00005437778,0.00006605133,0.2770518,0.0002737159,0.005550673,0.0201426,0.6944826,0.001357494],"study_design_scores_gemma":[0.00107247,0.00002854149,0.0001328169,0.000009209611,0.00001580121,0.000008396049,0.03008484,0.00009442145,0.000187306,0.0002549097,0.9679034,0.0002078783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168985,0.000607881,0.00005212137,0.06681035,0.0007462093,0.0003414641,0.0000335496,0.0002333843,0.01427654],"genre_scores_gemma":[0.9554142,0.00001479049,0.00002995126,0.03711925,0.0004864995,0.0001852344,0.0000346648,0.00002040631,0.006694947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2734209,"threshold_uncertainty_score":0.9993353,"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."}}