{"id":"W326479723","doi":"","title":"AUTOMATIC MOTIVIC ANALYSIS INCLUDING MELODIC SIMILARITY FOR DIFFERENT CONTOUR CARDINALITIES: APPLICATION TO SCHUMANN'S OF FOREIGN LANDS AND PEOPLE","year":2005,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Motif (music); Computer science; Artificial intelligence; Melody; Gestalt psychology; Theoretical computer science; Mathematics; Topology (electrical circuits); Algorithm; Natural language processing; Combinatorics; Epistemology; Physics; Art; Visual arts","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":[0.0006362589,0.0004019532,0.0005973362,0.002627028,0.0005532541,0.001534143,0.0005874859,0.0004647255,0.00306628],"category_scores_gemma":[0.002919867,0.0002286599,0.0005879651,0.001388186,0.0005187878,0.001219937,0.001238673,0.0005978371,0.0006234534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883585,"about_ca_system_score_gemma":0.0003689658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310878,"about_ca_topic_score_gemma":0.001681195,"domain_scores_codex":[0.9996711,0.00009023956,0.00001874961,0.00008163699,0.0001002253,0.00003810619],"domain_scores_gemma":[0.9993487,0.0002825021,0.00007014229,0.00009217051,0.0001371762,0.00006931295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00047971,0.0001347392,0.01091088,0.0003573955,0.00009547007,0.0005295021,0.003049667,0.02534143,0.06688375,0.08014206,0.004332492,0.8077429],"study_design_scores_gemma":[0.00004474592,0.0001320118,0.01255902,0.00004266316,0.00003692347,0.0006424438,0.00153755,0.8902408,0.020242,0.06217957,0.01226282,0.00007935078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1425028,0.0001039703,0.8522903,0.0001503854,0.00002384099,0.00006541942,0.0001701885,0.002585989,0.002107199],"genre_scores_gemma":[0.4715545,0.00008627778,0.5266131,0.00002453936,0.00002033925,0.0000613853,0.0002961414,0.000363676,0.0009800018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00306628,"threshold_uncertainty_score":0.01025772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727889065036053,"score_gpt":0.2965798602547251,"score_spread":0.2793009696043646,"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."}}