{"id":"W2017153621","doi":"10.1080/10588160902963629","title":"Twentieth‐Century Countertenor Repertoire","year":2009,"lang":"en","type":"article","venue":"Music Reference Services Quarterly","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Repertoire; Computer science; Art history; History; Art; Literature","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":[0.0004283732,0.0003931067,0.0001872201,0.0009283035,0.00240157,0.002825668,0.0004235744,0.0007108512,0.07098639],"category_scores_gemma":[0.001143773,0.0001878083,0.00008531689,0.0007557141,0.002291542,0.002150737,0.001509212,0.0009477016,0.01979884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364762,"about_ca_system_score_gemma":0.0009086481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005866604,"about_ca_topic_score_gemma":0.0223414,"domain_scores_codex":[0.9997585,0.0000557776,0.00001152535,0.00004306691,0.00009231521,0.00003869232],"domain_scores_gemma":[0.9998227,0.00005352603,0.00001506752,0.00001865825,0.00004733617,0.0000428069],"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":[0.00005665745,0.00001571033,0.0004614311,0.0002021772,0.000003889387,0.0002069394,0.01434539,0.00004773967,0.0006442416,0.1196138,0.5833924,0.2810097],"study_design_scores_gemma":[9.021766e-7,0.000003730873,0.0004265096,0.00009393579,5.524897e-7,0.0001325379,0.001084729,0.00000641341,0.00006283336,0.001999146,0.9961866,0.000002156459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007184746,0.05409553,0.001152177,0.01423048,0.002029763,0.00001793942,0.0003164836,0.0001786936,0.9207942],"genre_scores_gemma":[0.07414687,0.02528371,0.0009203518,0.001739683,0.0004173009,0.00002839319,0.0002433658,0.0001461105,0.8970742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07098639,"threshold_uncertainty_score":0.2374731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658835826921376,"score_gpt":0.2921010146119126,"score_spread":0.2655126563426989,"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."}}