{"id":"W3040797554","doi":"10.24908/iqurcp.14057","title":"Scaling-Down the Grandiose: Opera Design Experimentation","year":2020,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Artistic and Creative Research","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Opera; Perspective (graphical); Scale (ratio); Computer science; Contrast (vision); Aesthetics; Value (mathematics); The arts; Visual arts; Sociology; Art; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.02988839,0.0009998759,0.0005985847,0.001066235,0.001962266,0.003567794,0.002086561,0.001359539,0.008835747],"category_scores_gemma":[0.0636444,0.0007920797,0.001065816,0.0009926689,0.004772556,0.003219868,0.003857111,0.002708855,0.001155186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889499,"about_ca_system_score_gemma":0.00214339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009774081,"about_ca_topic_score_gemma":0.001356982,"domain_scores_codex":[0.9729919,0.02151907,0.0007369487,0.001735479,0.002289647,0.0007269245],"domain_scores_gemma":[0.9304873,0.05788695,0.001175275,0.006549121,0.002965573,0.0009358922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003864849,0.01084631,0.01507182,0.005113682,0.0003463601,0.001257807,0.3355708,0.02862697,0.06736431,0.1776122,0.0103921,0.3439328],"study_design_scores_gemma":[0.004487476,0.03508827,0.02366629,0.002863935,0.0006610391,0.00111866,0.1119268,0.07231676,0.07154047,0.1954984,0.4801993,0.0006325776],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6547614,0.0002841323,0.2725105,0.001147709,0.0003125095,0.01569843,0.0005330876,0.000810782,0.05394139],"genre_scores_gemma":[0.6205518,0.0002582929,0.3556572,0.0005039551,0.00005120609,0.01440139,0.0002959029,0.000414275,0.007866017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02988839,"threshold_uncertainty_score":0.1580668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3321267993062446,"score_gpt":0.4005447079685075,"score_spread":0.06841790866226288,"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."}}