{"id":"W2403050620","doi":"","title":"Developing Systems For Improvisation Based On Listening","year":2010,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Improvisation; Active listening; Computer science; Psychology; Art; Visual arts; Communication","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":[0.003729652,0.00007361038,0.0001364652,0.00006690637,0.000565371,0.00008904211,0.0008060441,0.0001127206,4.829926e-7],"category_scores_gemma":[0.001535794,0.00003965456,0.00009494322,0.0001973035,0.00002193983,0.000172916,0.00007347074,0.0003833992,0.000001878755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562699,"about_ca_system_score_gemma":0.000166015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001055493,"about_ca_topic_score_gemma":0.00003330819,"domain_scores_codex":[0.9990056,0.000150116,0.0003031793,0.00006850981,0.000318742,0.0001538255],"domain_scores_gemma":[0.9973378,0.001030348,0.001027183,0.0002555258,0.0003332617,0.00001591119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004895099,0.0004673052,0.05843394,0.000228623,0.001135153,0.000004679214,0.02731178,0.03567725,0.0263142,0.6986048,0.06300187,0.0883309],"study_design_scores_gemma":[0.003945101,0.0008488863,0.1378693,0.0004056905,0.0002857225,0.00006270978,0.0009850467,0.6828701,0.006844887,0.07449781,0.09074268,0.0006421182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3656706,0.00008229275,0.5743517,0.05053071,0.008196946,0.0005680912,0.000002631359,0.00007789802,0.0005191611],"genre_scores_gemma":[0.9927493,0.000006882503,0.005825496,0.000742753,0.0003516354,0.000008004373,1.892621e-7,0.000004878556,0.0003108757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6471928,"threshold_uncertainty_score":0.4348434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433056089562947,"score_gpt":0.2522296647924365,"score_spread":0.237899103896807,"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."}}