{"id":"W1575507029","doi":"10.21083/csieci.v9i2.3069","title":"Improvisation's Ebb and Flow","year":2014,"lang":"en","type":"article","venue":"Critical Studies in Improvisation / Études critiques en improvisation","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Improvisation; Computer science; Visual arts; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002307796,0.0004671074,0.0006228283,0.0004198016,0.0006111902,0.0002832889,0.0006014531,0.0003639129,0.000009485974],"category_scores_gemma":[0.008644253,0.0004504228,0.00009630292,0.0004914798,0.001045353,0.001642339,0.000716067,0.0005277478,0.00001467334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004520755,"about_ca_system_score_gemma":0.0001114476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009316686,"about_ca_topic_score_gemma":0.0002646238,"domain_scores_codex":[0.9961665,0.0004748245,0.0008711775,0.001076627,0.0004813396,0.0009295926],"domain_scores_gemma":[0.9963973,0.002075317,0.0001426849,0.0006806499,0.0005182785,0.000185739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001750125,0.000117369,0.0008811593,0.0003307025,0.00004694222,0.000006906346,0.00946594,0.00001244785,0.0008460854,0.7626909,0.0004632628,0.2251208],"study_design_scores_gemma":[0.003895405,0.00234571,0.03748268,0.0004522543,0.0001724319,0.0001219558,0.01386702,0.2368023,0.005014995,0.6699088,0.02724728,0.002689115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1610633,0.002046228,0.7760074,0.04959866,0.002871704,0.001655627,0.000020751,0.002079735,0.004656676],"genre_scores_gemma":[0.9523738,0.0004730784,0.04386387,0.00250386,0.0003149915,0.0003600383,0.0000117644,0.00002906588,0.00006951311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7913105,"threshold_uncertainty_score":0.9997948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03577511920890766,"score_gpt":0.3422733282076769,"score_spread":0.3064982089987693,"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."}}