{"id":"W7115031853","doi":"","title":"Novel interfaces for audio manipulation","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Surround sound; Landmark; Task (project management); Plug-in; Boosting (machine learning); User interface; Set (abstract data type); Context (archaeology)","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005941578,0.0006232793,0.0007008009,0.0005572767,0.001571482,0.0001479131,0.001811235,0.0009793934,0.00002130007],"category_scores_gemma":[0.0007013639,0.0006493277,0.0003113981,0.0006412081,0.00004751658,0.0007680806,0.0003914554,0.0009493669,0.00006085215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003563555,"about_ca_system_score_gemma":0.0000643013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008844893,"about_ca_topic_score_gemma":0.001765256,"domain_scores_codex":[0.9969057,0.00007589979,0.0007323942,0.00126859,0.0004116989,0.0006056443],"domain_scores_gemma":[0.9975844,0.0003569584,0.0004809179,0.001029407,0.0004577617,0.00009057866],"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":[0.00005778338,0.0001100286,0.000006031919,0.0003183654,0.0002481909,0.00000520184,0.00002677222,0.00001902366,0.00649068,0.7881126,0.00006761569,0.2045377],"study_design_scores_gemma":[0.002595067,0.0004726165,0.002365177,0.001323117,0.0004192574,0.00003181713,0.0005221482,0.001619576,0.09625089,0.4884904,0.403208,0.002702005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.724127,0.001913362,0.004518042,0.0004565683,0.01707273,0.003748556,0.001390791,0.003458315,0.2433146],"genre_scores_gemma":[0.9343159,0.0001397746,0.02352295,0.0004501275,0.00005895869,0.0005819966,0.0004430793,0.00007154232,0.04041563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4031403,"threshold_uncertainty_score":0.9997283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0308276952408907,"score_gpt":0.2641894327151444,"score_spread":0.2333617374742537,"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."}}