{"id":"W1971734717","doi":"10.12745/et.3.1.578","title":"&lt;em&gt;York Cycle&lt;/em&gt; 1998: What We Learned","year":2000,"lang":"en","type":"article","venue":"Early Theatre","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Art; Visual arts","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003111943,0.0005227036,0.0003298667,0.001162624,0.002508096,0.007617485,0.001214027,0.004968856,0.07222407],"category_scores_gemma":[0.006109873,0.000213783,0.0001871013,0.002787188,0.005048589,0.0121656,0.002463818,0.00377106,0.01175371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00779471,"about_ca_system_score_gemma":0.01159233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07218411,"about_ca_topic_score_gemma":0.1016947,"domain_scores_codex":[0.9991481,0.0002451133,0.00003953129,0.00009795508,0.000246136,0.0002231197],"domain_scores_gemma":[0.9970181,0.0007406996,0.0001443315,0.0001816613,0.001038833,0.0008764993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003045189,0.00003765287,0.000682634,0.0006275889,0.000004376062,0.00007746422,0.001942601,0.00008968798,0.000115243,0.06680117,0.608453,0.3211381],"study_design_scores_gemma":[0.000006591539,0.000005962153,0.001349982,0.00134069,0.000003951272,0.00005394142,0.004904233,0.00005472022,0.0001425311,0.011676,0.9804507,0.00001070432],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004022107,0.171698,0.003145692,0.5245124,0.02658017,0.00003378718,0.0006605063,0.0001792023,0.2691682],"genre_scores_gemma":[0.1410695,0.2632864,0.006562633,0.07691042,0.008755506,0.0001310088,0.00103079,0.0004372324,0.5018165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07222407,"threshold_uncertainty_score":0.2416136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309233975304076,"score_gpt":0.2628747303599955,"score_spread":0.2397823906069548,"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."}}