{"id":"W2405542986","doi":"10.5072/zenodo.243942","title":"A Comparative Survey of Image Binarisation Algorithms for Optical Recognition on Degraded Musical Sources.","year":2007,"lang":"en","type":"article","venue":"Bern Open Repository and Information System (University of Bern)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Preprocessor; Grayscale; Artificial intelligence; Musical; Set (abstract data type); Image (mathematics); 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":[0.002944289,0.001037488,0.001212035,0.004601021,0.0006076272,0.001823102,0.001778256,0.001302309,0.003982958],"category_scores_gemma":[0.006534725,0.0003901482,0.0009196142,0.004839608,0.000400482,0.001843626,0.000602701,0.0005739918,0.003972589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004652129,"about_ca_system_score_gemma":0.000505109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001989057,"about_ca_topic_score_gemma":0.003398427,"domain_scores_codex":[0.997781,0.0003246425,0.000191773,0.0004049961,0.00117681,0.0001207817],"domain_scores_gemma":[0.9955233,0.001962467,0.0002712986,0.0005340563,0.001589435,0.0001193926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002773658,0.0001035043,0.001881415,0.0005685996,0.0001536892,0.00004307405,0.00007585181,0.003049597,0.01291702,0.0006739211,0.004429474,0.9758264],"study_design_scores_gemma":[0.0002349447,0.002111456,0.06507759,0.0008348082,0.0009899331,0.007879718,0.001456299,0.4240635,0.3400469,0.006429699,0.1504891,0.000386097],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08083158,0.04543612,0.8423523,0.0005055655,0.0003926763,0.0004477265,0.00104689,0.01435929,0.01462773],"genre_scores_gemma":[0.1677106,0.02305646,0.7938954,0.0002781857,0.000181074,0.0002223699,0.003483123,0.001146647,0.01002605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004601021,"threshold_uncertainty_score":0.01557106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06177932309183542,"score_gpt":0.2608215928808873,"score_spread":0.1990422697890519,"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."}}