{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002366902,0.00009671379,0.000341752,0.0001787669,0.0002476633,0.0001019085,0.0006518823,0.00005094866,0.000003514021],"category_scores_gemma":[0.0005663903,0.00005871916,0.0001846853,0.000642618,0.00001400431,0.0003127145,0.0001814841,0.0001026703,7.434028e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000310844,"about_ca_system_score_gemma":0.00005333718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000288701,"about_ca_topic_score_gemma":0.0003010369,"domain_scores_codex":[0.9985344,0.0002345564,0.0005136488,0.0000969359,0.000481529,0.0001389121],"domain_scores_gemma":[0.9974706,0.0006079894,0.001184828,0.0002922905,0.0003890565,0.00005530051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001555569,0.0009207557,0.7302691,0.0003896385,0.005794005,4.406768e-7,0.04114278,0.0886909,0.002560289,0.07575501,0.01058993,0.04373164],"study_design_scores_gemma":[0.00064541,0.0001175891,0.201744,0.00004712665,0.0008919088,0.0000024345,0.000509989,0.7882525,0.001014188,0.006097416,0.0005629151,0.0001145361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5083286,0.00005282196,0.4884069,0.002813198,0.00005894287,0.0002476271,0.00002010052,0.00001344843,0.00005838546],"genre_scores_gemma":[0.9975341,0.00002961017,0.001838814,0.0003277811,0.0001279309,0.000006013664,0.000004401095,0.000005385172,0.0001259671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6995616,"threshold_uncertainty_score":0.2394498,"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."}}