{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001831032,0.0002724424,0.0002953967,0.0001567031,0.001805063,0.00180232,0.0008633282,0.00007306013,0.00144578],"category_scores_gemma":[0.0008679999,0.000183057,0.00008803525,0.0003203652,0.002707688,0.000760132,0.0003239654,0.0008528845,0.0007852939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201983,"about_ca_system_score_gemma":0.0003481269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005306553,"about_ca_topic_score_gemma":0.00001252758,"domain_scores_codex":[0.9961746,0.0003251019,0.0003975075,0.0006124648,0.001584978,0.0009053581],"domain_scores_gemma":[0.9969192,0.0005255763,0.0000909006,0.0001744139,0.001912437,0.0003774638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002512327,0.00006326486,0.0001072863,0.00006837692,0.00006949045,0.000009498848,0.1070462,0.000003963877,0.001777574,0.8260297,0.06027875,0.004294741],"study_design_scores_gemma":[0.002251762,0.002240747,0.0001796047,0.000330481,0.00006191961,0.00001330798,0.5102784,0.01770742,0.02059953,0.1512181,0.2939946,0.001124061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.049635,0.00107331,0.05630231,0.620873,0.0003179372,0.005433362,0.00004878219,0.0007944527,0.2655218],"genre_scores_gemma":[0.9929976,0.0005440369,0.0002976056,0.0005805373,0.001116801,0.0003416065,0.00001190205,0.0000442287,0.004065643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9433627,"threshold_uncertainty_score":0.9999927,"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."}}