{"id":"W4205518436","doi":"10.32920/ryerson.14658243","title":"Collateral beauty a digital artwork of a poet's spirit","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Poetry; Beauty; Art; Digital art; Visual arts; Process (computing); Aesthetics; Computer science; Multimedia; Literature; Art history; Performance art","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":[0.0007503558,0.0003310431,0.00021982,0.001011676,0.003592619,0.005225445,0.00028513,0.0006588265,0.02173623],"category_scores_gemma":[0.003102151,0.0001323589,0.0002523885,0.001061647,0.008062659,0.003916715,0.003339593,0.001765139,0.00318797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004597632,"about_ca_system_score_gemma":0.0005836361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003568396,"about_ca_topic_score_gemma":0.0007689793,"domain_scores_codex":[0.9995008,0.0002285642,0.00001313096,0.00005595937,0.0001588593,0.00004273626],"domain_scores_gemma":[0.9992091,0.0002454983,0.00005527673,0.0002269573,0.00008298519,0.0001801663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008850788,0.00004165407,0.001136321,0.0002184435,0.00001794864,0.0008596464,0.0503566,0.0002983036,0.002809792,0.7968253,0.07143675,0.07591073],"study_design_scores_gemma":[0.00001715308,0.00006930737,0.00130757,0.0002205543,0.00001098308,0.001674395,0.01352951,0.0003490447,0.0007995707,0.06453609,0.9174664,0.00001947617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04871741,0.002028155,0.01898262,0.008646987,0.002635051,0.00007330845,0.00015805,0.000372869,0.9183856],"genre_scores_gemma":[0.6514906,0.001978999,0.01116037,0.001764864,0.001121576,0.00007620051,0.0001079635,0.0003233225,0.3319762],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02173623,"threshold_uncertainty_score":0.07271492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433782911703354,"score_gpt":0.2254576025051842,"score_spread":0.2011197733881507,"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."}}