{"id":"W2945205630","doi":"10.34064/khnum2-15.08","title":"Laughter as a direction of Marc-André Hamelin’s composer searches.","year":2019,"lang":"en","type":"article","venue":"Aspects of Historical Musicology","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laughter; Art; Humanities; Art history; Literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001145075,0.0003061996,0.000166506,0.0009384906,0.002257143,0.003170168,0.0003629581,0.00105965,0.003106224],"category_scores_gemma":[0.004862994,0.0001346478,0.0001432092,0.0006007634,0.005467063,0.001857439,0.001379553,0.001419863,0.0007688231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810494,"about_ca_system_score_gemma":0.00104209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003871507,"about_ca_topic_score_gemma":0.005945478,"domain_scores_codex":[0.9985284,0.0006599122,0.00005723258,0.0002396377,0.0003902672,0.0001245568],"domain_scores_gemma":[0.9983404,0.0008111856,0.0003252942,0.0001277564,0.0002340056,0.0001614059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000176522,0.00004529248,0.00835957,0.0002818924,0.00001446129,0.003538399,0.5569817,0.0001499464,0.00639917,0.3089898,0.02955913,0.08550415],"study_design_scores_gemma":[0.00002024937,0.000122995,0.02880724,0.0006726404,0.00002014451,0.009878522,0.2122182,0.0005726155,0.004050827,0.02274487,0.7208191,0.00007269818],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3937526,0.02038294,0.009348281,0.02269457,0.001839853,0.00008646475,0.0001385272,0.0002462574,0.5515105],"genre_scores_gemma":[0.9568469,0.002010027,0.001921121,0.001570261,0.000208607,0.00002228004,0.00004378253,0.00006111951,0.03731598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003871507,"threshold_uncertainty_score":0.01313609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199172202775967,"score_gpt":0.2588682780829309,"score_spread":0.2368765560551713,"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."}}